0001]The present invention, analyzer performs analysis apparatus of the particulate matter, the analysis system configured by a plurality of analyzers, and, to their analytical methods.
BACKGROUND
[0002]Recently, suspended particulate matter floating in the air (e.g., PM2.5) has become a major environmental problem. In order to suppress the generation of suspended particulate matter, it is important to understand the sources of suspended particulate matter, the purpose of it, is a method and apparatus for estimating the source of airborne particulate materials It has been developed.
[0003]
　For example, Patent Document 1, a method of estimating the source of dustfall is disclosed. The method of estimating the source, so as to coincide with the analytical data of the dustfall was actually taken at a predetermined measurement point, calculating a contribution ratio of the analysis data measured in advance of the dustfall from multiple sources doing, it estimates the collected dustfall generation source (the degree of contribution).
CITATION
Patent Document
[0004]
Patent Document 1: JP 2013-221925 JP
Summary of the Invention
Problems that the Invention is to Solve
[0005]
　In the conventional method as described above, only the result of component analysis contained in the particulate matter, or based only on the amount of particulate matter contained in the air (i.e., the concentration of particulate matter), source is It had been estimated. In this case, for example, in the case based only on the concentration in the atmosphere of the particulate matter are those collected particulate matter is almost harmless (e.g., particulate matter generated by burning) Even, taken and just because a high concentration of the particulate matter, the particulate matter of high concentration of hazardous sources are in some cases it results in a warning to have occurred.
[0006]
　On the other hand, in estimating the source based only on the analysis of the components contained in the particulate material, in general, since the pre-selected elements suspected to be contained in the particulate matter as analyzed , for example, there are cases such as when different elements from those selected is included in the particulate matter collected, which can not estimate the source of the particulate matter.
[0007]
　An object of the present invention to output more accurately a signal relating to the source of particulate matter floating in the atmosphere.
Means for Solving the Problems
[0008]
　The following describes several aspects as a means for solving the problems. These embodiments may be combined arbitrarily as needed.
　Analysis device according to one aspect of the present invention includes a mass concentration measurement unit, and the elemental analysis section, and a source-related signal output unit. Mass concentration measurement unit measures a mass concentration of particulate matter suspended in the atmosphere. Elemental analysis unit analyzes the elements contained in the particulate matter. The source-related signal output unit, mass and measurement results of the mass concentration in the concentration measuring unit, and the analysis of elements contained in the particulate matter in the elemental analysis unit, based on the output signals related to the source of particulate matter to.
　Thus, based on two information between the mass density and the results of elemental analysis of the particulate matter can be output more accurately a signal relating to the source of particulate matter.
[0009]
　Analyzer may further include a storage unit. The storage unit stores the correlation data representing the correlation between the mass concentration of elemental and particulate matter contained in the particulate matter. In this case, the source-related signal output unit outputs the correlation data, and analysis results of the Elements, and measurement results of the mass concentration, a signal relating to the source of particulate matter based on.
　Thus, without the need for such complex calculations, can output a signal relating to the source of particulate material more easily.
[0010]
　Correlation data may further include a wind direction data regarding correlation between the mass concentration and direction of the elements included in the particulate matter and / or particulate matter. In this case, the source-related signal output section may output a signal relating to the source of particulate matter on the basis of the wind direction data.
　Thus, by estimating how reaches the analyzer from which direction the particulate matter can output more easily signal related sources.
[0011]
　Analyzer acquires event occurrence information, based on the acquired event occurrence information may set the measurement conditions and / or analysis algorithms. Event occurrence information is information about the events that have occurred. Thus, the analyzer at optimum measurement conditions and / or analysis algorithm for particulate matter generated by events shown in event occurrence information can be analyzed the particulate matter.
[0012]
　Analyzer may further comprise an element selection unit. Element selecting unit selects an element to be analyzed and elemental analyzer. This allows specifying the elements to be analyzed by elemental analysis unit.
[0013]
　When the element currently selected is determined not to be included in the particulate matter, elements selecting unit may select as the element to be analyzed element different from the element that is currently selected.
　Thus, if it can not identify the elements analyzed, it analyzed the different elements.
[0014]
　Elemental analysis unit, the fluorescence generated from the derived specific particulate matter and measured profile showing a relationship between the intensity of the energy and the fluorescent X-rays of the fluorescent X-ray generated from the particulate matter, the origin of the generation have been identified a reference profile represents a relationship between the energy and the intensity of the fluorescent X-rays of the X-ray, may be analyzed element contained in the particulate matter based on a comparison of.
　This allows more precise analysis of the elements contained in the particulate matter.
[0015]
　The source-related signal output section, and a constant data relating to the element and mass concentration of the particulate matter in the steady state, the measured data of the analysis results and the mass concentration of the element, comparing, and the measured data is normal data Once determined to be dissimilar, a signal for warning may be output as a signal relating to the source of particulate matter.
　This allows notification that different states has occurred normally with the actual measurement data obtained by the analyzer.
[0016]
　Analyzer, a collection filter, and collecting unit may include a. Collecting filter has a collection region that can trap particulate matter to move the collection region from the first position to the second position by moving in the longitudinal direction. Collecting portion is provided so as to correspond to the first position, the particulate matter suspended in the atmosphere, is collected in the collection region that exists in the first position.
　In this case, the mass density measurement section measures the mass concentration of particulates trapped in the trapping region present in the first position. Elemental analysis unit analyzes the elements included from the first position to the particulates trapped in the trapping region which is moved to the second position.
　Thus, by performing the mass concentration and the elemental analysis of the particulate matter in a predetermined cycle, for each predetermined period, it outputs a signal relating to the source of particulate matter.
[0017]
　Analysis system according to another aspect of the present invention includes a spectrometer, a server, a. Server can communicate with the analyzer and the outside. Control unit and / or the server of the analyzer obtains the event occurrence information, based on the acquired event occurrence information, to set the measurement conditions and / or analysis algorithms in the analyzer.
　Thus, the analyzer at optimum measurement conditions and / or analysis algorithm for particulate matter generated by events shown in event occurrence information can be analyzed the particulate matter.
[0018]
　Analysis system according to another aspect of the present invention is an analytical system where the analytical device is provided more.
[0019]
　Further analysis method according to another aspect of the present invention includes the following steps.
　◎ determining the mass concentration of particulate matter suspended in the atmosphere.
　◎ step of analyzing the elements included in the particulate matter.
　◎ the measurement result of the mass concentration, the analysis of elements contained in the particulate material, based on, and outputs a signal relating to the source of particulate matter step.
　Thus, based on two information between the mass density and the results of elemental analysis of the particulate matter, can output a signal related to more accurately sources of particulate matter.
[0020]
　Program according to still another aspect of the present invention is a program for executing the above analysis method to the computer.
The invention's effect
[0021]
　Based on the two pieces of information between the mass density and the results of elemental analysis of the particulate matter suspended in the atmosphere, it can be estimated more accurately the source of particulate matter.
BRIEF DESCRIPTION OF THE DRAWINGS
[0022]
Shows the arrangement of FIG. 1 analyzer.
Diagram illustrating the configuration of [2] controller.
[Figure 3] a flowchart showing the analysis operation for estimating the source of fine particulate matter.
[4] shows an example of correlation data.
Shows [5] Elemental analysis and a mass concentration, and the correlation data, another example of a method of estimating the source based on.
FIG 6A] illustrates an example of a configuration of the analysis system according to the second embodiment.
FIG 6B] shows another example of the configuration of the analysis system according to the second embodiment.
[7] shows an example of the constant data and the measured data.
FIG 8A] shows an example of actual measurement profile.
Diagram illustrating an example of FIG. 8B] reference spectrum.
[9] a flowchart showing the elemental analysis method according to the fifth embodiment.
DESCRIPTION OF THE INVENTION
[0023]
1. First Embodiment
(1) Overview of the analyzer
　is described below analyzer 100 according to the first embodiment. The analyzer 100 according to the first embodiment is an apparatus for outputting a signal relating to the source of particulate material (e.g., a signal for an alarm). Accordingly, the analyzer 100 is disposed, for example, the source or near a hazardous particulate matter. For example, heavy traffic road (main road, motorway, etc.) along or near a are arranged in an industrial area or near might occur particulate matter.
[0024]
(2) Configuration of the analyzer
　Next, the configuration of the analyzer 100 according to the first embodiment will be described with reference to FIG. Figure 1 is a diagram showing a configuration of the analyzer.
　Analyzer 100 includes a collection filter 1. Collection filter 1 is, for example, on a reinforcing layer formed by non-woven polymeric material (polyethylene), fine particulate matter FP (e.g., particle size less particulate matter 2.5 [mu] m) (Particulate trapping layer formed of a porous fluororesin-based material having a collecting possible hole an example) of a material (sometimes referred to as a collection region) is formed by laminating, a tape-like member is there. The collection filter 1, for example, also possible to use another filter, such as glass filters one layer of a fluorine resin-based material of one layer filter.
[0025]
　For example, by taking up the rotation of the feed winding the collection filter 1 fed from the reel 1a reel 1b, collection filter 1 can move in the longitudinal direction (direction indicated by a thick arrow in Figure 1).
[0026]
　For example, if you need to measure vanadium (V) and / or chromium (Cr) constantly as collection filter 1, a metal thin film such as aluminum thin film, by using the one provided with the titanium thin film on the surface it may be. By using a metal thin film, it is possible to reduce the background of the measurement target elements.
[0027]
　Analyzer 100 includes a collecting portion 3. Collecting portions 3 are provided so as to correspond to the first position P1 in the longitudinal direction of the collection filter 1. Collecting portions 3, for example, by blowing air A sucked by the suction force of which is connected to the suction pump 31 suction port 35, the collection region present in the first position P1 of the collection filter 1 from the discharge port 33 in, thereby collecting the particulate matter FP contained in the atmosphere a in the collection region.
[0028]
　Analyzer 100, beta-ray source 51 provided in the discharge port 33 (e.g., carbon 14 ( 14 C)) and, beta-ray detector 53 is provided so as to face the beta-ray source 51 in the suction port 35 (e.g. has a collection quantity measurement unit 5 having a photomultiplier tube) equipped with a scintillator.
　β-ray source 51 irradiates the β-rays in the measurement region of the first position P1. β-ray detector 53 measures the intensity of the transmitted β rays the collected fine particulate matter FP to the collection region of the first position P1.
[0029]
　Analyzer 100 includes an analysis portion 7 provided so as to correspond to the second position P2 in the length direction of the collection filter 1. Analyzing unit 7, an X-ray source 71 that irradiates X-rays to fine particulate matter FP present in the second position P2 (e.g., device for generating X-rays by irradiating an electron beam to a metal such as palladium), detector 73 for detecting the fluorescent X-ray generated from the fine particulate material FP (e.g., a silicon semiconductor detector or a silicon drift detector) and has a.
[0030]
　Analyzer 100, a control unit 9. Control unit 9 includes a CPU (Central Processing Unit), RAM, and storage devices such as a ROM, a display 97 (e.g., a liquid crystal display) and (2), and various interfaces, a computer system having a like. Some or all of the functions of the respective components of the control unit 9 shown below, may be implemented by executable stored program in a storage device in a computer system.
[0031]
　Specifically, as shown in FIG. 2, the control unit 9, the control instruction unit 91, a storage unit 92, and the elemental analysis unit 93, the mass concentration calculator 94, a source-related signal output section 95, having an element selection unit 96, the above display 97, a. Control instruction unit 91, the take-up reel 1b, collector 3, collection quantity measurement unit 5 executes control of the analyzer 7, and the camera 11. Further, the control instruction unit 91, the collection amount measuring unit 5, the analysis unit 7, and inputs the signal output from the camera 11, converted into the appropriate data format, stored in the storage unit 92.
　Storage unit 92 is a part of the storage area of a computer system constituting the control unit 9 stores various data required by the analyzer 100.
[0032]
　Elemental analysis unit 93 analyzes the elements contained in the second position P2 is collected in the collection region that exists in the fine particulate matter FP. Mass concentration calculator 94 calculates the amount of collected fine particulate matter FP collection region of the first position P1. The with the mass concentration calculator 94 and the amount of collection measuring section 5, "mass concentration measurement part" is formed.
[0033]
　Source related signal output unit 95, the analysis of elements contained in the fine particulate matter FP in elemental analysis unit 93, the calculation result of the mass concentration in the mass concentration calculator 94, of the fine particulate matter FP based on a signal relating to the source, for example, output to a display 97.
　As an embodiment, the source-related signal output unit 95, a signal relating to sources of fine particulate matter FP, may be output to the control circuit of the warning lamp or a warning sound generator. Thus, for example, when a dangerous fine particulate matter FP has occurred, or lighting a warning lamp, or may generate a warning sound. Or, the source-related signal output unit 95, the connected equipment and analysis apparatus 100 via the network, notifications about the source (e.g., a warning) may be.
[0034]
　Control unit 9 includes an element selecting unit 96. Element selecting unit 96 selects an element to be analyzed and elemental analysis unit 93. For example, elements selecting unit 96, the periodic table it is possible to turn ON / OFF the portion corresponding to each element is displayed on the display 97, a portion of elements analyzed are listed user to ON (also OFF the element to be removed from the analyte) by, can select an element to be analyzed. Selected element by the user is stored in the storage unit 92 as the element list EL.
　Other elemental selecting unit 96 displays a list of predetermined elements, elements may become a possible selection included in the list.
[0035]
　Control unit 9 may include a plurality of computer systems. For example, by providing a single computer system to the analyzer 100, it may control the analyzer 100 by the computer system. On the other hand, other computer systems (e.g., a portable terminal such as a tablet terminal), by communicating with a computer system or the like provided in the analysis apparatus 100 may transmit a control command to the analyzer 100. Moreover, the other computer system may have the ability to perform the analysis using the data obtained from the analyzer 100. Thus, the operation of the analyzer 100, and / or the analysis using data obtained by analyzer 100 can be performed at a distance from the analyzer 100.
[0036]
　Analyzer 100, a position corresponding to the second position P2, are provided on the opposite side, the camera 11 and the X-ray source 71 and detector 73 with respect to the collection filter 1 is disposed side. The camera 11 is, for example, a CMOS image sensor, the particulate matter FP trapped in the trapping region present in the second position P2 captured, and outputs the data of the captured image IM to the control unit 9.
[0037]
(3) analysis operation of fine particulate matter in the analyzer
　will be described next analysis operation of fine particulate matter FP of the analyzer 100 is used according to the first embodiment. In the following, the analysis operation of estimating the source of fine particulate matter FP, will be described with reference to the flowchart of FIG.
　Before starting the analysis in the analyzer 100 acquires various data necessary for the analysis of elements contained in the fine particulate matter FP which was collected in elemental analysis unit 93 (step S1).
　In one embodiment, for example, in the vicinity of the analyzer 100, is a source of fine particulate matter FP and (s) from a particular particulate matter were fine particulate matter FP collected from the facility, like the fine particles data when measuring fluorescent X-ray profile of a substance FP at analyzer 100 may be stored in the storage unit 92 as the reference profile P.
[0038]
　In one embodiment, particulate standards with known origin (e.g., standard yellow sand, standard automotive exhaust, standard brake dust, standard dust caused by oil burning, dust during waste incineration of the standard substance, etc.) and from a particular particulate matter, the data obtained by measuring the fluorescent X-ray profile of the reference material under the analytical device 100 may be stored in the storage unit 92 as the reference profile P.
　Further, the fluorescent X-ray profile of standards, and the fluorescent X-ray profile of fine particulate matter FP had actually occurred from the facility, may be stored in the storage unit 92 as the reference profile P together.
[0039]
　Other X-ray fluorescence profiles taken from standard or property measured several times, the average value of the plurality of X-ray fluorescence profiles may be used as the reference profile P.
[0040]
　Or, without actually measuring the X-ray fluorescence profiles in analyzer 100, the composition from a database of the fluorescent X-ray profile obtains a fluorescent X-ray profile of a known material, the storage unit the fluorescent X-ray profile as a reference profile P it may be stored in 92.
[0041]
　Further, by analyzing the reference profile P obtained to identify elements contained in the corresponding fine particulate matter FP and / or standards, the specific results of the element, an element selected by the user and the element list EL shown, may have been associated with the.
　Thus, for example, when the user selects an element to be analyzed using elemental selector 96, the fluorescent X-ray profile of the collected fine particulate matter FP (measured profile MP) and advance the reference profile P to be fitted It can be limited.
[0042]
　Further, in this embodiment, elements included in the fine particulate matter FP, the mass concentration of the fine particulate matter FP, and / or to obtain the correlation data D representing the correlation between the wind direction data, stored in the storage unit 92 to. Correlation data D, for example, can be obtained as follows.
　First, using the analyzer 100, a collection of fine particulate matter FP at predetermined time intervals, the measurement of the mass concentration of the fine particulate matter FP, and analysis of elements contained in the fine particulate matter FP , to run. Also, measured by the collection, the measurement of mass concentration, a wind direction running elemental analysis, the analyzer 100 or wind vane provided in the vicinity thereof (not shown).
　The above collection, measurement of the mass concentration, elemental analysis, and measurement of the wind direction, repeatedly run over a long period of time, as a significant correlation data D is created, it is preferable to collect a lot of data .
[0043]
　Next, using the collected data, each element identified by elemental analysis, mass concentration, the correlation coefficients for the two parameters of the wind direction is calculated for all combinations of the two parameters. Then, the calculated phase correlation coefficient, for example, the respective elements and the mass concentration in the row direction, each element and mass concentration and direction are arranged in the column direction, the corresponding table (matrix) as shown in FIG. 4 by inserting the point, correlation data D, as shown in FIG. 4 is completed. Figure 4 is a diagram illustrating an example of correlation data.
　In FIG. 4, the correlation coefficient magnitude is expressed by the table gray coloring of each element of the correlation data shown in (matrix) (which darkened the larger correlation coefficient). Further, the correlation data D of FIG. 4, in a portion surrounded by a two-dot chain line, negative correlation coefficients are calculated.
[0044]
　It gets the above-mentioned various data, after performing the zero-point calibration and / or span calibration if necessary, before starting the analysis by the analyzer 100, an element selection unit 96, an element to be analyzed to the user It is selected, the storage unit 92 an element selected as the element list EL (step S2).
　For example, by selecting as the element to be analyzed element contained in the fine particulate matter FP generated from a particular source can be monitored for the occurrence of fine particulate matter FP from the specific source.
[0045]
　Thereafter, the analysis apparatus 100 starts the analysis operation. More specifically, the control instruction unit 91, with respect to the collecting unit 3, thereby collecting the particulate matter FP to the collection region present in the first position P1 (step S3).
　During the collection of fine particulate matter FP, the control instruction unit 91, beta-ray source from the 51 to the first position P1 is irradiated with beta rays, indicating the intensity of beta-ray beta-ray detection signal beta ray detector as measurement data MD stored in the storage unit 92 fetches from 53. Mass concentration calculation unit 94, based on the size of the β ray detection signal, calculates the amount of collected fine particulate matter FP in the collection region present in the first position P1.
[0046]
　From the start of collecting a predetermined time (e.g., 1 hour) has elapsed ( "Yes" in step S4), and the control instruction unit 91, to the collecting portions 3, of the fine particulate matter FP a command to stop the collection.
[0047]
　After stopping the collection of fine particulate matter FP, mass concentration calculation unit 94, based on the collection amount of fine particulate matter FP at the timing of stopping the collection, the collection region present in the first position P1 to calculate the mass concentration of the collected fine particulate matter FP (step S5).
[0048]
　After calculating the mass concentration, after moving the collection region present in the first position P1 and rotates the take-up reel 1b to the second position P2, the control instruction unit 91, the second position from the X-ray source 71 to P2 is irradiated with X-rays. Further, the control instruction unit 91 detects a pulse signal corresponding to the intensity of the fluorescent X-ray generated from the collected fine particulate matter FP to the collection region of the second position P2 at detector 73, the pulse stored in the storage unit 92 takes in the signal as the measurement data MD.
[0049]
　After obtaining the pulse signal, elemental analysis unit 93, from the acquired pulse signal, the fluorescent X-ray profile showing the relationship between fluorescent X-ray energy and the intensity (the number of pulses of the pulse signal at the time corresponding energy), produced as measured profile MP, the storage unit 92 (step S6).
[0050]
　Thereafter, elemental analysis unit 93, the measured profile MP obtained is compared with the plurality of reference profiles P in the storage unit 92 is stored, the element contained in the fine particulate matter FP was collected in step S2 identifying (step S7).
　For example, reference to a reference profile P in the storage unit 92 is stored with the measured profile MP, based on these profiles, and the data fitted using the least squares method or maximum likelihood method, the most consistent with the measured profile MP It determines that the elements contained in the profile P is included in the collected fine particulate matter FP.
　In the present embodiment, since the select elements to be analyzed by elemental analysis unit 93 in step S2 described above, it can be analyzed more quickly elements at step S7.
[0051]
　Incidentally, when the square of the difference of the reference profile P to be a minimum do not match the peak position and the measured profile MP is determined to best match the measured profile MP, peak position coincides with the peak position of the measured profile MP, and, the square of the difference is if there is a relatively small reference profile P, it may be determined that best matches the reference profile P and the measured profile MP.
[0052]
　If determining the measured profile MP most matches the reference profile P, elemental analysis unit 93, the reference element profile P is included in the derived specific particulate material obtained is fine particulate material obtained a measured profile MP It can be identified and included in the FP.
[0053]
　As described above, the reference profile P stored in the storage unit 92 so associated with from a particular particulate matter corresponding, based on the fitting result between the measured profile MP and the reference profile P, it was collected it is also possible to estimate the origin generation of fine particulate matter FP.
[0054]
　Elemental analysis unit 93, from the peak ratio of the calculated element concentration and the measured profile MP, can be calculated the composition ratio of elements contained in the collected fine particulate matter FP.
[0055]
　After execution of the elemental analysis, the control instruction unit 91, by using the camera 11 acquires an image of the collected fine particulate matter FP, the storage unit 92. Further, the control instruction unit 91 may display the image IM on the display 97.
[0056]
　After obtaining an image of the fine particulate matter FP, the source-related signal output section 95, and the mass concentration calculated, based on the results of elemental analysis of the above, the source of the collected fine particulate matter FP estimated (step S8).
　For example, the tendency of increase or decrease of the calculated mass concentration, when the tendency of increase and decrease of the content of selected elements in element selection unit 96 is the same (e.g., when the mass concentration is increased, the content of the selected element in the case where the amount is increased), the source-related signal output unit 95, the collected fine particulate matter FP is, from a particular source for generating a fine particulate FP including the selected element It can be estimated to have occurred. In this case, the source-related signal output section 95, that trapped fine particulate matter FP is generated from a particular source selected, can be displayed on the display 97.
[0057]
　On the other hand, a tendency of increase or decrease of the mass concentrations, if the trend of the decrease of the content of the selected element a different (e.g., for mass concentration is increased, when the content of the selected element does not increase the), sources related signal output unit 95, the collected fine particulate matter FP can be estimated to have occurred from other than the specific source for generating a fine particulate FP including the selected element.
　In this case, the source-related signal output unit 95, for example, that are generated from different sources than the specific source of the collected fine particulate matter FP is selected, can be displayed on the display 97. Or, the matter may notify the like other devices connected via a network.
　Thus, for example, the user uses the element selection unit 96, it can be the elements to be analyzed element other than currently selected element.
[0058]
　In one embodiment, the source-related signal output section 95, further, an image IM of fine particulate matter FP image analysis, based on the percentage of color included in the image IM, the collected fine particulate matter the FP source of may be estimated. For example, if included many yellow in the image IM, the main sources of fine particulate matter FP can be estimated as a source of sand.
　Additional, if the white (gray) is contained many, where the burning is performed, or the occurrence location of a cement powder, such as demolition cement plants or buildings, it can be specified as the source. Further, if it contains many black, fuel (oil, coal, etc.) the combustion location can be specified as the source. Furthermore, when the red-brown (a reddish color) is contained many, it can be specified as copper and / or (oxide) source the place of occurrence of iron.
[0059]
　In one embodiment, the source-related signal output unit 95, based on the shape of the fine particulate matter FP obtained by analysis of the image IM, may estimate the sources of fine particulate matter FP. For example, if it has an uneven many shapes, trapped fine particulate matter FP it can be estimated to have occurred from the place of occurrence of soil and / or concrete dust.
[0060]
　In one embodiment, for example, for the mass concentration of the collected fine particulate matter FP is increased, for example, when the content of the selected elements do not increase, the element selection unit 96 generates source based on the information about the colors included in the image IM received from the related signal output unit 95, the element different from the element that is currently selected may be selected as the element to be analyzed.
　For example, when receiving the information to be contained black number on the image IM is the combustion location of the fuel is estimated as a source can analyzed vanadium (V). When receiving the information of the color of the red system contains many, copper (Cu), and analyzed the iron (Fe). White when receiving the information of the (gray) or yellow include many, calcium contained ash burning, sand, soil, and / or cement (Ca), aluminum (Al), silicon (Si), potassium (K) can be the analyte.
[0061]
　In one embodiment, the source-related signal output unit 95 further uses the correlation data D stored in the storage unit 92, the source of the collected fine particulate matter FP may be estimated. For example, the results of elemental analysis, aluminum (Al), silicon (Si), and an increase in the content of potassium (K), and consider the case where also seen an increase in mass concentration. In this case, in the example of correlation data D shown in FIG. 4, it has a large correlation coefficient for these elements, and wind direction having a large correlation coefficient with respect to the mass concentration, as shown in FIG. 5 a southwest or northwest and enclosed area at enclosed area and the one-dot chain line by a dotted line in FIG. 5 is a wind direction overlapping. Therefore, the source-related signal output unit 95, in the above case, it assumed that the collected fine particulate matter FP has been flying from place to the southwest or northwest with respect to the installation position of the analyzer 100.
　5, elemental analysis, shows an example of a method of estimating the source based on the mass concentration, and the correlation data.
[0062]
　By estimating the source of fine particulate matter FP executes step S1 ~ S8 described above, the analyzer 100 uses the mass concentration and elemental analysis of the fine particulate matter FP, accurately fine particulate We can estimate the source of the substance FP.
　Further, by using the correlation data D, a relatively simple method such as comparison of the magnitude of the value of the correlation coefficient between the obtained mass concentration and elemental analysis and wind direction, requiring such complex calculations without it can estimate the origin of the fine particulate matter FP easier.
[0063]
　Furthermore, repeatedly perform the collection of the fine particulate matter FP at predetermined intervals, by estimating the sources of fine particulate matter FP trapped at predetermined time intervals is executed, the predetermined time period It can monitor the change in the source of fine particulate matter FP for each.
[0064]
　After performing Step S1 ~ S8 described above, (not shown) stops the analyzer 100 buttons, etc. is pressed, the analyzer 100 unless it is determined to stop (as long as the "No" in step S9), and the step S1 ~ S8 are repeatedly executed.
[0065]
2. Second Embodiment
　analyzer 100 according to the first embodiment, for example, along heavy traffic roads, or, during the period from a predetermined position in the industrial area to a predetermined position outside the industrial area, are installed a plurality it may be. The plurality of analyzer 100, as shown in FIG. 6A, for example, a network (a wireless network such as Wi-Fi, a wired wide area network (optical communication network, ISDN network, such as a fixed telephone network)) to each other due are communicably connected, it may be formed analysis system 200a. Figure 6A is a diagram showing an example of the configuration of the analysis system according to the second embodiment.
[0066]
　Thus, the analyzer 100, for example, not only the mass concentration and elemental analysis of the fine particulate matter FP itself is measured, the measurement results and / or fine related fine particulate matter FP from other analyzer 100 based like output history of the signal relating to the source of particulate matter FP, can output more accurate signal related sources of fine particulate matter FP.
　For example, if the fine particulate matter FP having approximately the same elemental composition was detected in the plurality of analyzer 100, the plurality of analyzer 100, a large measure of the mass concentration of the fine particulate matter FP by going traces sequentially (lower from the side mass concentration is high), the flying path and traveling direction of the fine particulate matter FP can be accurately estimated.
[0067]
　Further, a plurality of analyzer 100, as shown in FIG. 6B, the mass concentration obtained by the plurality of analyzer 100, elemental analysis, and / or a signal output of about sources of fine particulate matter FP history, etc. may be connected to the server 101 collects. In this case, a plurality of analyzer 100 and the server 101 form an analysis system 200b. Figure 6B is a diagram showing another example of the configuration of the analysis system according to the second embodiment.
In this case, for example, based on information which the server 101 is collected, it may be determined whether to output a signal relating to the source of particulate matter. Or, for example, the analyzer 100 downloads the data of another analyzer 100 from the server 101, be used data downloaded the may output a signal relating to the source of particulate matter.
[0068]
　The above analytical system 200a, 200b, in addition to analyzer 100, may include other types of analyzers that can measure other than mass concentration and elemental analysis. For example, it may include a gas analyzer for analyzing gas (matter) contained in the atmosphere A. The measurement data acquired by the gas analyzer, may be included in the correlation data D as described above. In the gas analyzer, for example, hydrocarbons, carbon monoxide (CO), carbon dioxide (CO 2 ), nitrogen oxides (NO x ), ozone (O 3 ), sulfur oxides (SO x gases, etc.) analysis (e.g., calculation of gas concentration) performed the. The gas analyzer, acetone, ethanol, toluene, benzene, volatile organic compounds, such as chlorofluorocarbons (Volatile Organic Compounds, VOC) may be one capable of measuring.
[0069]
　Said gas analyzer, analyzing the system 200a, in 200b, may be connected to the analyzer 100 via a network, it may not have been. When connected via a network, the control unit 9 of the analyzer 100, the data acquired by the gas analyzer can be acquired and stored such as in the storage unit 92 via the network. Other, said gas analyzer, for example, may be connected to the analog input of the analyzer 100 (not shown). In this case, the gas analyzer outputs a measured data to the analysis device 100 as an analog signal. Control unit 9 of the analyzer 100 converts the analog signal input from the gas analyzer to measure (for example, A / D converter) to be stored, such as in the storage unit 92 the numerical data as the measurement result. Furthermore, even without it the communicable gas analyzer and the analyzer 100, and stored in a storage medium device measurement data of the gas analyzer (e.g., USB memory, SD memory, optical disks, compact hard disk, etc.), the storage measurement data analyzer 100 from the media devices may be enabled acquires.
[0070]
　In the analysis system 200b including a server 101, server 101, network, analog input terminals, and / or via a storage medium device may acquire and stores the measurement result from the gas analyzer. Server 101, the measurements from the gas analyzer, may be provided to the analyzer 100.
[0071]
　As described above, the measured data from the gas analyzers, fine particulate becomes gaseous substance that can be included in materials FP ion analysis results of further using, the more accurately the source of fine particulate matter FP It can be estimated.
[0072]
　The server 101, event occurrence information described in the fourth embodiment described later (e.g., weather statistics, event information, and / or traffic information (e.g., congestion information), etc.) to acquire the external server Save, in response to a request from the analyzer 100, the event occurrence information may be sent to the corresponding analyzer 100. Or analyzer 100 accesses the server 101 may obtain the event occurrence information.
[0073]
　Server 101, various data of each analyzer 100 may be a cloud server to save the configuration and the like. In this case, the analyzer 100 accesses the server 101 is a cloud server, necessary data may be acquired configuration like from the server 101. In this case, the storage unit 92 of the analyzer 100, may have only the minimum storage capacity required for the operation of a program.
[0074]
　Furthermore, server 101 may perform analysis using the data collected from each analysis unit 100. The server 101 that differs from the result of the analysis and / or constant, for example in such a message on a Web page obtained by accessing the mail and server 101 may notify.
[0075]
　The functions of the server 101 described above may have the control unit 9 of each analyzer 100. That is one of the control unit 9, not only to acquire the data to which the other control unit 9 has a control unit 9 of another analyzer 100, the above weather statistics, event information, and / or traffic information or obtained from the cloud server or an external server, and / or analysis system 200a, may acquire the measurement data of other types of analyzers, such as a gas analyzer that exists 200b. Control unit 9, the data other control unit 9 has, weather statistics, event information, traffic information, measurement data and the like acquired by other types of analyzers, may be acquired through a network, storage media devices (e.g., USB memory, SD memory, optical disks, compact hard disk, etc.) may be obtained from the user using.
[0076]
3. Third Embodiment
　In the first embodiment described above, the source-related signal output unit 95 estimates the source of fine particulate matter FP, has output the estimated result on the display 97. Other sources related signal output unit 95 'is according to the third embodiment, a warning (e.g., lighting a warning lamp to when the collected fine particulate matter FP becomes a state different from a "steady state" signal, the signal for generating a warning sound) may be output.
　The configuration of the source-related signal output unit 95 'analyzer 100 other than the same as those in the first embodiment, the description thereof is omitted here.
[0077]
　The "steady state" above refers to mass concentration of the collected fine particulate matter FP, and / or, the elemental analysis results are within a range of criteria. Therefore, the source-related signal output unit 95 'is according to the third embodiment, the reference data relating to fine particulate matter FP (constant data), measurement of the trapped fine particulate matter FP mass density and elemental analysis results between the (measured data) is "shifted" in the case (i.e., the measured data from the stationary data dissimilar in that), and outputs a warning.
[0078]
　The stationary data to be compared measured mass density and elemental analysis results and, for example, continuously in the analyzer 100 (e.g., about continuous 1 month) mass concentration of the collected measured fine particulate matter FP and elemental analysis (for example, element content) can be used an average value of.
　Other can be used specific factory the collected measured values of mass concentration and elemental analysis of the fine particulate matter FP, measured values of the analysis apparatus 100 of the mass concentration and elemental analysis results of standard, etc. .
[0079]
　For example, recorded at the top of FIG. 7 (actually, stored and the storage unit 92 is acquired in advance) elements a, b, c, and constant data, including elemental content and mass concentration of d is obtained It was to be.
　In this case, the source-related signal output section 95 'may, for example, a stationary data analyzer 100 (element a were obtained at predetermined time intervals using, b, c, and elemental content of d and mass multivariate analysis of the squared determined such χ between the concentration of) the measured data (e.g., principal component analysis, factor analysis, cluster analysis, etc.) carried out, in the example of the determination result is equal to or less than a predetermined value (Fig. 7 0.6 when below), measured data that is currently acquired is different from the determined in the steady state.
[0080]
　Stationary data and measured data described above, in addition to elemental content and mass concentration, for example, other component concentration other than the elements a ~ d, it may be a gas concentration. In this case, the stationary data and / or measured data may be included in the correlation data D. Further, the data may be numerical data and image data other than the physical quantity data such as density and content. Specifically, the data may be a spectral data may be a matching degree of the spectral data in the spectral data and the measured data in a steady data were analyzed from the image data and the image data obtained by photographing the filter it may be the color information, and the like.
[0081]
　Predetermined value of the actually measured data currently acquired is different criterion for determining whether or not the steady state, may be made adjustable. Thus, for the deviation between the stationary data and the measured data, it is possible to adjust the "sensitivity" as determined to be different from the steady state. For example, by the predetermined value as the larger value, if the measured data is slightly offset from the stationary data (or, for example, one of the parameters included in the measurement data, constant data corresponding one But if) deviates from the value of the parameter can be determined to be different from the steady state.
　Figure 7 is a diagram showing an example of the constant data and the measured data.
[0082]
　If the measured data is judged different from the steady state, the source-related signal output section 95 'may, for example, the measured data to the display 97 to display an indication notifying that differ from the steady state (such as a message), the warning lamp and it outputs a signal for lighting the, or outputs a signal for generating a warning sound.
　Or, to another device connected via a network, may output a signal for notifying the above warning.
[0083]
　By sources associated signal output unit 95 'generates a warning when obtained is different measured data and steady state, for example, if the fine particulate matter FP from different sources in the analyzer 100 is collected etc., you can notify the user that the different states has occurred normally.
[0084]
4. Fourth Embodiment
　In the first embodiment described above, correlation data D, the element contained in the fine particulate matter FP, the mass concentration of the fine particulate matter FP, and / or represents the correlation between the wind direction data there were. However, it is possible to associate other data on the correlation data D. Structure and function of each component included in the analyzer 100 is the same as the first to third embodiments described above, description thereof will be omitted here.
[0085]
　For example, correlation data D, in addition to the above data includes event occurrence information about events occurring around the installation position of the analyzer 100, may represent a correlation between the event occurrence information and the data. Event occurrence information includes, for example, weather statistics, event information, and / or the traffic information (congestion information). Weather statistics, weather specific point (wind velocity, air temperature, humidity, etc.) is a set of data relating to, for example, (in Japan, the Japan Meteorological Agency) authorities in each country to handle weather information available from. For example, the weather statistics for the installation point of the Analyzer 100 available from the administration, stored in the storage unit 92 and / or server 101 of the control unit 9. Or, the control unit 9 and / or server 101 via the Internet to connect to a predetermined server the administration may be suitably downloaded weather statistics.
[0086]
　Event information, information about the occurrence of volcanic eruptions, information about the launch of fireworks, is information about the event that occurred, such as. Information on the occurrence of volcanic eruptions, for example, be obtained from administration to handle the weather information. Information about the launch fireworks, for example, a user who knows the information, can be entered using the control unit 9 and / or server 101. Other control unit 9 and / or server 101 information on the generated event, such as information regarding the launch of information and fireworks on the occurrence of volcanic eruptions may be appropriately downloaded via the Internet.
[0087]
　Other, as event information, information of a grazing farm in the vicinity of the installation position of the analyzer 100 is performed, and the like information about the navigation of vessels.
[0088]
　Traffic information, such as traffic congestion information for each road, which is information relating to traffic such as a vehicle. Traffic information, for example, may be obtained from tissues servers that provide such traffic information via the network, obtains the traffic information stored in advance in a storage medium device, the server 101 from the storage medium device and / or the control unit 9 may transfer traffic information.
[0089]
　By including event occurrence information to the correlation data D, the control unit 9, so as to be optimum for the generated event can change the measurement conditions and / or analysis algorithms of fine particulate matter FP in the analyzer 100. For example, it stores the setting of the measurement conditions and / or analysis algorithms corresponding to the generated event into the storage unit 92, the control unit 9 and / or server 101 detects that the predetermined event occurs, the predetermined the measurement conditions and / or analysis algorithms corresponding to the event from the storage unit 92, perform the configuration of the analyzer 100.
[0090]
　Alternatively, the control unit 9 and / or server 101, any measurement conditions and / or analysis algorithms to the occurrence of events may learn whether the optimum. Accordingly, a learned control unit 9 and / or server 101, by entering the information about the occurrence of events can be automatically optimized set the measurement conditions and / or analysis algorithms analyzer 100.
[0091]
　As shown in the second embodiment, when the analyzer 100 is connected to be capable of communicating with the server 101, server 101, the measurement conditions for each analyzer 100 based on the correlation data D including the event occurrence information and change of / or analysis algorithms may transmit a signal instructing the change in the corresponding analysis apparatus 100.
[0092]
　For example, changes in the atmospheric concentration of the compound containing the volcanic eruption occurs with mercury (Hg) and sulfur (S) occurs. In this case, for example, to correspond to the measurement conditions for measuring high concentrations of mercury and sulfur, to change the analysis algorithm (quantitative algorithm). Other, for example, X-ray filter of the analysis unit 7 (e.g., the primary X-ray filter provided at the X-ray source 71, and / or the secondary X-ray filter provided on the detector 73) mercury high concentration and it is converted to those corresponding to the sulfur, and / or can change the voltage to the X-ray source 71 generates an electron beam.
[0093]
　In addition, for example, when the volcanic eruption occurs, the fine volcanic ash in large quantities will occur. Thus, for example, upon the occurrence of volcanic eruptions usually the time to stay collection filter 1 to the collecting unit 3 (e.g., 1 hour) by advancing than can be avoided that the collection filter 1 is clogged.
[0094]
　On the other hand, when there is the launch of the fireworks, element causing flame reaction, in particular, compounds containing strontium (Sr) frequently occur. Therefore, in this case, it is possible to use the measurement conditions and / or analysis algorithms corresponding to a high concentration of strontium (element causing flame reaction).
[0095]
　Additional, if there is a possibility that arsenic (As) and / or a compound containing lead a (Pb) increases, the measurement conditions and / or analysis algorithm, corresponding to the measurement of high concentrations of arsenic and / or lead changed to change to what was.
[0096]
　The control unit 9 and / or server 101, when there characteristic data is obtained, that those generated by certain events have the data, may be known through learning.
[0097]
　For example, the control unit 9 and / or server 101, when the characteristic data at analyzer 100 is obtained, obtains the event occurrence information when the characteristic data was obtained. Thereafter, the control unit 9 and / or server 101, and the characteristic data, event occurrence information when the characteristic data is obtained (e.g., weather conditions, the occurring event, and / or traffic information) and , to enter as a learning data. Corresponding event occurrence information when the characteristic data obtained, it may be designated input by the user, the control unit 9 with a database in which the event occurrence information and characteristic data associated and / or server 101 may assign locate those corresponding to acquired this time the characteristic data. Thus, the control unit 9 and / or server 101, when the input characteristic measurement data, what events (event, traffic jams, etc. special weather conditions) the learning model that can identify whether has occurred It can be formed on the inside.
[0098]
　The above learning, after becoming the events occurring from the characteristic data input to correctly recognize at certain accuracy, the control unit 9 and / or server 101, using the learning model formed therein Te, correlation between certain events and certain characteristic data (e.g., when input a certain characteristic data, the probability that a particular event has occurred) is calculated.
[0099]
　Thereafter, the control unit 9 and / or server 101, for example, if the calculated correlation degree is equal to or higher than a predetermined threshold, the event correlation between characteristic data is equal to or greater than a predetermined threshold value has occurred it, and notifies the source-related signal. Or, if the calculated correlation degree becomes continuously more than a predetermined frequency threshold, the event correlation degree becomes continuously greater than or equal to the threshold of the characteristic data may be notified as a source related signal . This threshold, said learning model formed through learning is automatically calculated, i.e., in the learning, to the threshold may be formed automatically calculable learning models, is set by the user it may be.
[0100]
　Thus, the control unit 9 and / or server 101, from the measurement data obtained from analyzer 100 and / or other types of analyzers, a source of generation and / or the event of a particular event, the source-related It can be output as a signal.
[0101]
　The control unit 9 and / or server 101, as originally abnormal is a characteristic mass concentration measurements as determined and / or elemental analysis results were obtained as data, depending on the installation location, the characteristic data are obtained by occurrence of a specific event, that the characteristic data is stationary data may be known through learning.
[0102]
　For example, if the location of the analyzer 100 is near the port facilities or in port facilities, it is possible to make the characteristic data observed during the passage of the ship and stationary data. Often in fine particulate matter FP in the exhaust gas of the vessel include vanadium and chromium. Therefore, when the ship has passed, the characteristic data of vanadium and chromium are detected at a high concentration in the elemental analysis results.
[0103]
　In this case, for example, vanadium, if chromium is detected at high concentration data that is usually abnormal obtained, nearby installation position of the analyzer 100 at the time when the data is obtained ship are you sailing, and / or, if the ship exhaust gas sailed from wind and / or weather at that time point is determined to reach the location of the analyzer 100, vanadium and chromium detected in high concentrations data is considered to be stationary data.
[0104]
　Setting as described above, for example, a user notified from the analyzer 100 and / or server 101 that acquired data is abnormal, that the abnormal data is stationary data, such as via the input device it can be taught to the control unit 9 and / or server 101. Further, at the time of the teaching, the obtained data not only, event occurrence information (event information that there is for example, an exhaust gas passage (ship of the ship), and weather conditions (weather statistics), etc.) training data it may be learned as.
[0105]
　Or, the control unit 9 and / or server 101, when the data vanadium and chromium were detected in high concentrations in the analyzer 100 is acquired, the event occurrence information (e.g., information and / or weather statistics regarding navigation of the ship Referring to information), conditions specific event at the time of acquisition of abnormal data is generated (e.g., that there was a sailing ship, and / or installation position of the weather conditions at the time of data acquisition exhaust gas of the ship analyzer 100 If the a condition) to reach, that the acquired abnormal data is stationary data, for example, it may be automatically learned through machine learning. Further, in addition to this, the abnormal data, occurrence of a specific event (for example, near that ship sailing) may automatically learn that obtained by.
[0106]
　Thus, the control unit 9 and / or server 101 has learned, vanadium and chromium high density detection data is normal data, i.e., occurrence of a specific event (for example, navigation of the ship) data obtained by , it can be automatically determined to be. Further, when the data vanadium and chromium were detected in high concentrations (abnormal data) is acquired, a signal for notifying the occurrence of events (for example, exhaust gas from a particular present at position (underway) vessels a signal) for notifying that it has been discharged can be output as a source-related signal.
[0107]
　Further, the control unit 9 and / or server 101, weather statistics and rise on the basis of the state of the atmosphere, is calculated by simulation air currents, microparticles from the simulation results, collected in the collection filter 1 or Jo substance FP is how to move may be predicted (e.g. using the trajectory analysis). Thus, for example, if a particular fine particulate matter FP at analyzer 100 is trapped, before and after the collection, or the specific fine particulate matter FP is moved by any route It can be predicted.
[0108]
5. Fifth Embodiment
The method of quantifying the target elements in (1) Fifth Embodiment
　In the fifth embodiment, the fine particulate matter FP containing a plurality of elements in elemental analysis, the spectral peaks of weak fluorescence X-ray even considering the overlap of spectral peaks, to obtain more accurate elemental analysis. In the fifth embodiment, the structure and function of each component included in the analyzer 100, since except in light of the overlap of spectral peaks are the same as in the first to fourth embodiments described above, description thereof will be omitted here .
[0109]
　When performing elemental analysis of the material containing a plurality of elements by detection of the fluorescent X-ray, there is a case where the spectral peaks of the fluorescent X-ray of a particular element, overlaps the spectral peaks of the other elements. For example, the installation position is close to ranch analyzer 100, when grazing takes place in the farm, it is possible that compounds containing bromine (Br) is generated. Some of the spectral peaks of bromine and is a part of the spectral peaks are known to duplicate aluminum (Al), the aluminum elemental analysis in the analyzer 100 in the neighborhood source of bromine ranch, ( especially low concentrations of) the determination of aluminum may not be accurately. Further, it is known that a part of the spectral peaks of a portion arsenic spectral peak of lead overlap.
[0110]
　If there is overlap spectral peaks that overlap even a part, if the content of specific elements (concentration) is calculated differently from the actual content (concentration). Calculation error of the element content caused by overlap of the spectral peak is particularly noticeable when the content of the element to be analyzed is small.
[0111]
　Accordingly, in this embodiment, the control unit 9 and / or server 101, in consideration of the influence of the overlapping of the spectral peaks, the quantitative (calculation of element concentration) and qualitative elemental analysis (elemental particular). Specifically, by using the spectrum of the reference X-ray fluorescence of elements are considered to be included in the fine particulate matter FP, actually produces a measured spectrum that matches the spectrum included in the spectrum thus generated from the intensity of the spectrum of the reference to calculate the content of the element (concentration).
[0112]
　To perform the quantification of the elements described above, in the present embodiment, the spectrum obtained from a material containing the measurement object element of known concentration (referred to as a reference material) (referred to as a reference spectrum), storage stored in the part 92. Reference spectra, X-ray fluorescence of materials containing measured elements of known concentration, is obtained by detecting using analytical unit 7.
[0113]
　It will be specifically described below elemental analysis according to the present embodiment. In the following description, the fine particulate matter FP, the spectrum of the fluorescent X-ray as shown in FIG. 8A (measured profile MP) was obtained. 8A is a diagram showing an example of actual measurement profile.
[0114]
　Further, the fine particulate matter FP is intended to include an element B and the element C. Then, the element B and the element C is assumed to have a spectrum (reference spectrum) of X-ray fluorescence, as shown in FIG. 8B. Figure 8B is a diagram showing an example of a reference spectrum. In Figure 8B, the reference spectrum of the element B is represented by solid lines, the spectrum of the element C is represented by a dashed line.
[0115]
　As shown in FIG. 8B, the spectral peak observed between the fluorescent X-ray energy Ea ~ Eb in the reference spectrum of the element B, a spectral peak observed in the same energy range in the reference spectrum of the elements C, the energy close to each other exist in. As a result, the measured profile MP (shown by dotted lines in FIG. 8B) in the above energy range is present in a state in which the two spectral peaks are not separated.
[0116]
　Therefore, when calculating the content of the element of fine particulate matter FP using measured profile MP, the content is calculated (concentration) is greater than the actual content. Effects of overlap of the spectral peak is especially noticeable when a small content of element B and / or element C.
[0117]
　Accordingly, in the present embodiment, to perform the quantification of the elements contained in the fine particulate matter FP (Calculation of content) in accordance with the flowchart shown in FIG. Figure 9 is a flow chart showing elemental analysis method according to the fifth embodiment.
　After obtaining the measured profile MP of collected on the collection filter 1 Fine particle FP (step S71 '), the control unit 9 and / or server 101, from the peak position of the measured profile MP to fine particulate matter FP identifying the elements contained (step S72 ').
[0118]
　Next, the control unit 9 and / or server 101, in the spectrum of the specified elements in step S72 ', at least, using a spectral intensity of the peak of the measured profile MP within the energy range of the spectrum peaks overlap Te, execute the quantification of the identified elements (step S73 '). That is, the measured profile is within the range of energy values ​​contained in the MP, may be used all the spectral peaks corresponding to the specified element is the quantification of the elements, using only overlapping spectral peaks it may be the determination of the element.
[0119]
　Step S73 'quantitative results of element B and / or element C in is the case in the range of element content that is assumed to be included in the fine particulate matter FP, i.e., the quantitative results than a predetermined threshold value If also small ( "No" in step S74 '), using the intensity of the measured profile MP, and a calibration curve showing a relationship between the content and the spectrum intensity of each element, the element B and / or element performing a C quantification (step S75 '). Intensity of the measured profile MP used in quantification using a calibration curve may be a integrated intensity, may be a peak intensity at a particular peak position.
[0120]
　On the other hand, '( "Yes" in step S74) when the quantitation result of the is equal to or greater than a predetermined threshold value' step S73, to separate the spectra of element B and the element C from the measured profile MP, separated for each element the intensity of the spectrum is used to quantify the each element.
[0121]
　Specifically, first, a reference spectrum of the elements B, reads the reference spectrum of the element C from the storage unit 92, it generates a virtual spectrum sum the two reference spectra (step S76 '). Virtual spectrum is generated all or some of the intensities of a plurality of reference spectra increased or decreased. Increasing or decreasing the intensity of the reference spectrum, the virtual corresponds to increasing or decreasing the content of the target element (concentration).
[0122]
　Step S76 'generated by (multiple) of the virtual spectrum, selecting the best matching virtual spectrum and the measured profile MP (spectrum fitting) (step S77'). Specifically, for example, the square sum of the difference between the measured profile MP selects a virtual spectrum with the smallest (least squares method).
[0123]
　Next, step S77 'is calculated and the spectrum of the spectrum and the element C of the element B contained in the virtual spectrum selected in (step S78'). For example, an increase / decrease ratio of the intensity of the reference spectrum of the element B at the time of generating a virtual spectrum that best matches the measured profile MP, by multiplying the intensity of the reference spectrum of the elements B, can be calculated spectral element B . Similarly, the increase / decrease ratio of the intensity of the reference spectrum of the element C when the generated virtual spectrum that best matches the measured profile MP, by multiplying the intensity of the reference vector of the element C, calculate the spectrum of the element C it can.
[0124]
　Thus, from the measured profile MP, it can be separated and spectra of the element C of the element B.
[0125]
　After separation of the spectra of each target element, with the intensity of the spectrum separated for element B, and a calibration curve showing a relationship between the content and the spectrum intensity of the element B, and quantify the element B (step S79 ' ). Strength used in quantification using a calibration curve may be a integrated intensity, it may be a peak intensity at a particular peak position.
　Similarly, by using the intensity of the spectrum separated for elements C, a calibration curve showing a relationship between the content and the spectrum intensity of the element C, and to quantify the elemental C.
[0126]
　In another embodiment the substance quantification of target elements, used at the time of the acquisition and increase / decrease ratio of the intensity of the reference spectrum of the target element when generating a virtual spectrum best match the measured profile MP, a reference spectrum and the content of the target element contained in may be performed by multiplying. This is because, in general, the intensity of the spectrum, there is a correlation between the content of the target element (concentration).
[0127]
　By elemental analysis in accordance with the flowchart shown in FIG. 9, when the small effect of the overlap of spectral peaks contained in the measured profile MP may perform a qualitative and quantitative determination of target elements using the intensity of the measured profile MP.
　On the other hand, the significant impact of overlapping spectral peaks contained in the measured profile MP, when the amount to be determined using the measured profile MP is the result often beyond assumption is the spectrum of each object element from the measured profile MP to eliminate the overlap of spectral peaks separated can perform quantification of the target element using the spectrum the separation. Consequently, to minimize the influence of overlapping of the spectral peaks can be quantified more accurately target element.
[0128]
(2) Modification
　As a modification of this embodiment, a spectrum of matter comprising a plurality of target elements in known content (concentration), and the known content, other known information (e.g., measurement conditions ) and, as learning data, the control unit 9 and / or by learning server 101, the unknown spectrum (actual profile MP) from the control unit 9 the learned model can calculate the qualitative and quantitative results for each object element and / or it may be formed to the server 101.
[0129]
　In the modified example, the spectrum to be input in order to the learning control unit 9 and / or server 101 are preferably acquired using a material including the target element at a low content (low concentration). Thus, it can perform learning with a strong received data the influence of spectral overlap peaks. As a result, it is possible to form accurately qualitative and quantifiable suitable trained model object element low content (low concentration).
[0130]
　After formation of the learned model can perform qualitative and quantitative with some accuracy, the control unit 9 and / or server 101, the measured profile MP acquired in analyzer 100, other known when acquiring the measured profile MP if input information (measurement condition), to the learned model, as the output from the learned model, to obtain a qualitative results and quantitative results of the object element.
[0131]
　In another embodiment, a spectrum of executing the qualitative and quantitative using the learned model having a certain degree of accuracy, may further be learned the learned model. In this case, already element content other methods included in the fine particulate matter FP acquired spectra which finished the qualitative and quantitative (e.g., ICP (Inductively Coupled Plasma, inductively coupled plasma) method) The results measured by, it may be input as the learning data.
[0132]
　By further learning the learned model, trained model after the learning, it can perform qualitative and quantitative determination of target elements with higher accuracy.
[0133]
6. Other embodiments
　have been described above plurality of embodiments of the present invention, the present invention is not limited to the above embodiments, and various modifications are possible without departing from the scope of the invention. In particular, several embodiments and variations written herein can be combined arbitrarily as needed.
　For example, the order and / or processing contents of the steps shown in the flowchart of FIG. 3 may be modified without departing from the scope of the invention. For example, the calculation of the mass concentration of step S5, may be interchanged from the elemental analysis of steps S6 ~ S7. The first embodiment to the fifth embodiment described above, if desired, can be arbitrarily combined.
[0134]
Other embodiments relating to (A) the reference profile
　reference profile P may be constituted by a plurality of fluorescent X-ray profile obtained continuously at a predetermined cycle. For example, the reference profile P which was sand and from a particular particulate material, the fluorescent X-ray profile obtained in the initial stage but includes peaks corresponding to sulfur (S), which is acquired after a given time fluorescence the X-ray profile becomes also include peaks that correspond to a silicon (Si).
　In this case, elemental analysis unit 93, for example, by comparing the plurality of measured profiles MP and the reference profile P acquired in succession, peak observed at a plurality of acquired consecutively the measured profile MP (elemental ) and temporal changes, as long as substantially the same and the temporal variation of the corresponding peak (elemental) seen in the reference profile P, the collected fine particulate matter FP is associated with the reference profile P origin and derived from a particular particulate matter may be determined that the same (element contained are the same).
[0135]
Other embodiments relating to (B) measured profile
　elemental analysis unit 93 finds an average of fluorescence X-ray profile from a plurality of fine particulate matter FP acquired in succession may calculate the measured profile MP.
Industrial Applicability
[0136]
　The present invention can be widely applied to the analysis device for analyzing the particulate matter present in the measurement space.
DESCRIPTION OF SYMBOLS
[0137]
100 analyzer
200a, 200b analysis system
1 collection filter
1a delivery reel
1b take-up reel
3 collecting portion
31 a suction pump
33 outlet
35 suction port
5 collection quantity measuring unit
51 beta-ray source
53 beta ray detector
7 analyzer
71 X-ray source
73 detector
9 control unit
91 control instruction unit
92 storage unit
93 elemental analysis unit
94 mass concentration calculation unit
95, 95 'source-related signal output unit
96 element selecting unit
97 display
11 camera
101 server
A air
D correlation data
EL element list
FP fine particulate
MD measurement data
MP measured profile
P reference profile
IM image
P1 first position
P2 second position
P3 third position

WE CLAIM

And mass density measurement part for measuring the mass concentration of particulate matter floating in the atmosphere,
　and the elemental analysis section for analyzing the elements included in the particulate material,
　and measurement results of the mass concentration in the mass concentration measurement unit, the and analysis of elements contained in the particulate matter in the elemental analysis section, and a source-related signal output section for outputting a signal relating to the source of the particulate matter on the basis of the
　analysis device comprising a.
[Requested item 2]
　Further comprising a storage unit for storing correlation data representing the correlation between the elements and the mass concentration of the particulate matter contained in the particulate matter,
　the source-related signal output unit, and the correlation data, the element analysis results of the measurement result of the mass concentration, outputs a signal relating to the source of the particulate material based on,
　analyzer according to claim 1.
[Requested item 3]
　The correlation data further comprises a wind direction data regarding correlation between the mass concentration and direction of the elements and / or said particulate matter contained in the particulate matter,
　the source-related signal output section based on the wind direction data outputting a signal relating to the source of said particulate matter Te,
　analyzer according to claim 2.
[Requested item 4]
　Get event occurrence information regarding the occurrence of events, set the measurement conditions and / or analysis algorithms on the basis of the acquired event occurrence information, analyzer according to any one of claims 1-3.
[Requested item 5]
　The elemental analysis further comprises an element selector for selecting an element to be analyzed in section, analyzer according to any one of claims 1 to 4.
[Requested item 6]
　If it is determined that the element that is currently selected is not included in the particulate material, said element selection unit selects as the element to be the analysis of the different elements and element the currently selected, claim 5 analysis apparatus according to.
[Requested item 7]
　The elemental analysis unit generated from from a particular particulate matter and measured profile showing a relationship between the energy and the intensity of the fluorescent X-rays of the fluorescent X-ray generated from the particulate matter, the origin of the generation have been identified analyzing the elements included in the particulate matter on the basis of the reference profile represents a relationship between the energy and the intensity of the fluorescent X-ray of the X-ray fluorescence, compared to the that,
　according to one of claims 1 to 6, analysis device.
[Requested item 8]
　The source-related signal output unit compares the steady data about the elements and the mass concentration in the particulate matter in the steady state, the measured data of the analysis result and the mass concentration of the element, wherein the measured data There When it is determined from said stationary data are dissimilar, and outputs a signal for warning as a signal relating to the source of the particulate matter,
　the analyzer according to claim 1.
[Requested item 9]
　Have collection area capable collecting the particulate matter, the collection filter for moving the collection region from the first position to the second position by moving in the longitudinal direction,
　corresponding to the first position provided to, the particulate matter suspended in the atmosphere, and a collecting unit for collecting the collection region present in the first position
　, further comprising a
　said mass concentration measurement unit, the first the mass concentration of the particulate matter trapped in the collection region at the position is measured and
　the elemental analysis section is collected from the first position to the collection area is moved to the second position and analyzing the elements included in the particulate matter
　analysis apparatus according to any one of claims 1-8.
[Requested item 10]
　An analysis device according to any one of claims 1 to 9,
　and a server capable of communicating with the analysis apparatus and the external
　with a
　control unit and / or the server of the analyzer, the event occurrence information regarding the occurrence of events acquires, on the basis of the acquired event occurrence information, to set the measurement conditions and / or analysis algorithms of the analyzer,
　the analysis system.
[Requested item 11]
　Multiple features analysis system analyzer according to any one of claims 1-9.
[Requested item 12]
　Measuring the mass concentration of particulate matter floating in the air,
　and analyzing the elements included in the particulate material,
　and the measurement results of the mass concentration, analysis of elements contained in the particulate matter When, and outputting a signal related to the source of the particulate matter on the basis of the
　analysis method comprising.
[Requested item 13]
　Measuring the mass concentration of particulate matter floating in the air,
　and analyzing the elements included in the particulate material,
　and the measurement results of the mass concentration, analysis of elements contained in the particulate matter When a step, for outputting a signal relating to the source of the particulate matter based on a
　program for executing the analysis process comprising a the computer.