Title of Invention : Condition monitoring analysis device and method for railcars
Technical field
[0001]
The present invention relates to a railway vehicle condition monitoring analysis device and method.
Background technology
[0002]
Conventionally, there is a technique described in Japanese Patent Application Laid-Open No. 2011-245917 (Patent Document 1), for example, as a railway vehicle condition monitoring device and method.
[0003]
In other words, by comparing the amplitude ratio of the acceleration measured by the accelerometers mounted on the vehicle's axle box and vehicle body with the threshold, we are trying to separate the causes of vehicle-side and track-side anomalies and improve the accuracy of anomaly detection.
[0004]
Further, the threshold value of the amplitude ratio is obtained by registering the traveling data in advance in a database arranged based on the traveling position and traveling speed of the vehicle, and using the threshold value recorded in the database, the condition monitoring and the abnormality detection are performed. We are working to improve detection accuracy.
prior art documents
patent literature
[0005]
Patent document 1: JP 2011-245917 A
SUMMARY OF THE INVENTION
Problems to be Solved by the Invention
[0006]
The method described in Patent Document 1 separates and evaluates abnormal phenomena into vehicle factors and track factors from data measured by a sensor (accelerometer) mounted on the vehicle. However, anomalous phenomena are affected not only by vehicles and tracks, but also by the infrastructure around the tracks. To improve the accuracy of anomaly analysis, it is necessary to consider and evaluate infrastructure factors.
[0007]
In addition, the method described in Patent Document 1 uses a database that organizes past measurement data to consider and evaluate the effects of travel sections. However, orbital factors (infrastructure factors) change daily, so it takes time to investigate all the latest orbital conditions (infrastructure conditions) and update the database.
[0008]
Furthermore, it is conceivable to install sensors that directly monitor the track conditions (infrastructure conditions) and analyze abnormal phenomena in consideration of the data measured by the sensors. Installing the sensor poses a problem of high cost.
[0009]
Therefore, the present invention aims to provide a technology for estimating infrastructure factors other than vehicle factors from data measured by sensors mounted on vehicles, and analyzing and diagnosing abnormal factors.
Means to solve problems
[0010]
In order to solve the above problems, one of the typical railway vehicle condition monitoring and analysis devices of the present invention is a data detection device for measuring vehicle data and evaluation data with sensors mounted on the vehicle, and inputting and outputting data. a vehicle factor estimating unit that is connectable to an input device and an output device that performs a vehicle factor estimation and estimates vehicle factor evaluation data from the vehicle data and the evaluation data; An infrastructure factor extraction unit for extracting factor evaluation data, an infrastructure factor estimation unit for estimating individual infrastructure factor evaluation data from the infrastructure factor evaluation data, and storing the individual infrastructure factor evaluation data in an infrastructure factor database. an infrastructure factor DB construction unit that monitors the evaluation data of the individual infrastructure factors stored in the infrastructure factor database and analyzes the infrastructure factors; and the analysis information of the infrastructure factors: and a vehicle analysis unit that analyzes the vehicle state.
Effect of the invention
[0011]
According to the present invention, it is possible to monitor and analyze the state of railroad vehicles in consideration of infrastructure factors by monitoring and analyzing the state of infrastructure with sensors mounted on railroad vehicles without placing sensors directly on the infrastructure factors. .
[0012]
Problems, configurations, and effects other than those described above will be clarified by the following description of the embodiments.
Brief description of the drawing
[0013]
1] FIG. 1 is a diagram showing the configuration of a railway vehicle condition monitoring and analysis apparatus according to a first embodiment of the present invention. [FIG.
2] Fig. 2 is a flowchart for explaining a processing procedure of an infrastructure factor extraction unit of the first embodiment. [Fig.
3] FIG. 3 is a diagram showing an example of data obtained by the processing of steps S210 to S260 in FIG. 2. [FIG.
4] Fig. 4 is a flowchart for explaining a processing procedure of an infrastructure factor estimation unit according to the first embodiment. [Fig.
5] FIG. 5 is a diagram showing an example of data obtained by the processing of steps S310 to S370 of FIG. 4. [FIG.
6] Fig. 6 is a flowchart for explaining a processing procedure of an infrastructure factor DB building unit of the first embodiment. [Fig.
7] Fig. 7 is a flowchart for explaining a processing procedure of an infrastructure factor analysis unit according to the first embodiment. [Fig.
8] Fig. 8 is a flowchart for explaining a processing procedure of a vehicle analysis unit according to the first embodiment. [Fig.
MODE FOR CARRYING OUT THE INVENTION
[0014]
Hereinafter, an embodiment of the railway vehicle condition monitoring and analysis device of the present invention will be described with reference to the drawings.
Example 1
[0015]
The configuration of the railway vehicle condition monitoring and analysis device will be described with reference to FIG.
[0016]
In FIG. 1, a railway vehicle 1 is composed of a vehicle body 2 and a bogie 3, and runs on a track (rail) 10. The vehicle body 2 is equipped with a data detection device 20 comprising a vehicle data detection section 21 for measuring vehicle conditions and an evaluation data detection section 22 for measuring evaluation data. The condition monitor/analyzer 30 monitors and analyzes the vehicle condition based on the data acquired by the data detector 20 in consideration of infrastructure factors. Input device 40 and output device 50 input data to and output data from condition monitoring analysis device 30 .
[0017]
The data measured by the vehicle data detection unit 21 includes, for example, vehicle position, speed, acceleration, weight, time, operation status of vehicle parts and on-board equipment, etc. In this embodiment, these data are stored in N units. It is represented by variables {X i: i=1, 2, . . . , N}. The data measured by the evaluation data detection unit 22 are, for example, data representing the comfort and safety of the vehicle and passengers, such as noise and vibration. j: j=1, 2, . . . , M 1}.
[0018]
Although the data detection device 20 in FIG. 1 shows an example of a device for one vehicle, it may be a device for measuring vehicle data and evaluation data for a set of vehicles (a plurality of vehicles).
[0019]
The vehicle factor estimation unit 100 of the condition monitoring analysis device 30 estimates vehicle factor evaluation data from the vehicle data and evaluation data measured by the data detection device 20 .
[0020]
In this embodiment, the vehicle factor evaluation data is defined by M 1 variables {Y Cj: j=1, 2, . } can be expressed by the function (FC) of the following equation.
Y Cj = F C (X i, Y j)
[0021]
The function (F C) can be obtained, for example, by multivariate analysis of vehicle data {X i} and evaluation data {Y j}, learning by deep learning, or the like.
[0022]
The infrastructure factor extracting unit 200 of the condition monitoring and analyzing device 30 extracts the following from the data (X i, Y j) measured by the data detecting device 20 and the vehicle factor evaluation data {Y Cj} generated by the vehicle factor estimating unit 100: , to extract evaluation data for infrastructure factors.
[0023]
In this embodiment, the infrastructure factor evaluation data is defined by M 1 variables {Y Ij: j=1, 2, . It can be expressed by a function (F I) for the difference of {Y Cj}.
Y Ij (p, t) = FI (Y j - Y Cj)
Here, p and t are elements of the vehicle data {X i} and represent the position and time of the infrastructure factor. The position (p) is data indicating the location of the infrastructure factor along the track, such as GPS position data and distance traveled from the reference position (station).
[0024]
The infrastructure factor estimation unit 300 of the condition monitoring analysis device 30 acquires evaluation data of individual infrastructure factors from the infrastructure factor evaluation data extracted by the infrastructure factor extraction unit 200 .
[0025]
In this embodiment, the individual infrastructure factor evaluation data is defined by L variables {Y Ijk: k=1, 2, . )), it can be expressed by the following equation.
YIjk (p, t) = YIj (p, t)
　　　　　　　　　　　　　　p∈[p kMin, p kMax]
　　　　　　　　　　　　　　 t∈[t kMin, t kMax]
where [p kMin, p kMax] and [t kMin, t kMax] are the location and time ranges over which the individual infrastructure factors are present.
[0026]
The range in which individual infrastructure factors exist is the section where the infrastructure factor evaluation data (Y Ij(p, t)) is greater than or equal to the threshold (Y IjLim). Therefore, for the infrastructure factor evaluation data (Y Ij (p, t)), the range that is less than the threshold (Y IjLim) is converted to zero, and the infrastructure factor evaluation data obtained after the conversion process is divided into zero sections. By doing so, evaluation data for individual infrastructure factors can be obtained.
[0027]
In addition, from the extracted individual infrastructure factors, representative position (pk = (pkMin + pkMax)/2), representative time (tk = (tkMin + tkMax)/2), size (Δpk = pkMax −p kMin), the maximum value (Y IjkMax) of the evaluation data, and the average value (Y IjkAve) are also calculated. In this embodiment, these feature quantities are also used as evaluation data for individual infrastructure factors with M 2 variables {Y Ijk: j=M 1+1, M 1+2, . . . , M 1+M 2 (=M)} Define.
[0028]
The infrastructure factor DB construction unit 400 of the condition monitoring and analysis device 30 stores the individual infrastructure factors acquired by the infrastructure factor estimation unit 300 in the infrastructure factor database.
[0029]
When storing in the infrastructure factor database, it is compared with already stored infrastructure factors to determine if the same infrastructure factor exists. The same infrastructure factor determination method compares evaluation data such as the position (p k), velocity (v k), size (Δp k), etc. of the infrastructure factor.
[0030]
As a result of the comparison determination, if the same infrastructure factor exists in the infrastructure factor database, the acquired individual Add the infrastructure factor evaluation data, and if the same infrastructure factor does not exist, register the acquired individual infrastructure factor as a new infrastructure factor.
[0031]
Further, when the infrastructure factor stored in the infrastructure factor database is not detected by the infrastructure factor estimating unit 300, it is determined that the infrastructure factor has been improved by maintenance or removal, and the removed infrastructure factor in the infrastructure factor database is determined. set the value of the time range [t kMin, t kMax] to zero for the evaluation data (Y Ijk(p, t)) of .
[0032]
The infrastructure factor analysis unit 500 of the state monitoring and analysis device 30 monitors evaluation data of individual infrastructure factors stored in the infrastructure factor database and analyzes the infrastructure factors.
[0033]
When a new infrastructure factor is detected by monitoring infrastructure factors, the information (location, scale, etc.) related to the infrastructure factor is presented to the output device 50 . This will allow us to know which infrastructure factors will have an impact in the future. In addition, by specifying the range of new infrastructure factors, infrastructure factors can be efficiently investigated. When information (presence/absence, type, name, actual measurement data, etc.) of on-site infrastructure factors can be collected from the survey results, the survey results are added to the infrastructure factor database from the input device 40 . Investigation of infrastructure factors is conducted by a system storing external infrastructure information, an investigator, etc., and the investigation information is input/output online and offline.
[0034]
　Individual infrastructure factor evaluation data (Y Ijk(p, t)) stored in the infrastructure factor database changes over time If it increases with it, it can be judged that the infrastructure factor is deteriorating. Further, when the evaluation data exceeds the deterioration threshold (Y IjkLim), it can be determined that maintenance is required. Further, the individual infrastructure factor evaluation data (Y Ijk (p, t + Δt)) at the future time (t + Δt) or the future individual infrastructure factor evaluation data (Y Ijk (p, t + Δt)) reaches the deterioration threshold. By calculating the time (Δt), the maintenance timing can be predicted. The deterioration state of the infrastructure factor and maintenance information are presented on the output device 50, and the information on the response result can be added from the input device 40 to the infrastructure factor database. Investigation and maintenance of the deteriorated state of infrastructure factors are performed by an external maintenance system or an infrastructure administrator, and information on the implementation results is input and output online and offline.
[0035]
When the individual infrastructure factor evaluation data (Y Ijk(p, t)) stored in the infrastructure factor database decreases or becomes zero as time changes, it can be determined that the infrastructure factor has been improved or removed through maintenance. Infrastructure factor improvement and removal information is presented on the output device 50 and the findings can be added to the infrastructure factor database from the input device 40 . Surveys on the improvement and removal of infrastructure factors are conducted by a system that stores external infrastructure information, surveyors, etc., and the survey information is input and output online and offline.
[0036]
The vehicle analysis unit 600 of the condition monitoring analysis device 30 considers the past information stored in the infrastructure factor database for the analysis data (X Ai, Y Aj) measured by the data detection device 20, Evaluate rail vehicles.
[0037]
When analyzing a railway vehicle, evaluation data (Y AIj) for analysis of infrastructure factors for analysis data (X Ai, YAj) measured by the data detection device 20 is used as individual infrastructure factors stored in the infrastructure factor database. is created from the evaluation data (Y Ijk) of That is, the position (p A) and time (t A) corresponding to the analysis data (X Ai, Y Aj) are extracted, and the individual infrastructure factor evaluation data (Y Ijk) present at the extracted position (p A) is obtained from the infrastructure factor database. Evaluation data (Y Ijk(p A, t A)) for time (t A) is calculated from the obtained evaluation data for individual infrastructure factors. By adding (ΣY Ijk(p A, t A)) evaluation data of individual infrastructure factors acquired at analysis positions and times, infrastructure factor analysis evaluation data (Y AIj) for the analysis data can be calculated. The calculated infrastructure factor analysis evaluation data (Y AIj) is stored in the infrastructure factor database and displayed on the output device 50 .
[0038]
From the analysis data (Y Aj) stored in the infrastructure factor database and the infrastructure factor analysis evaluation data (Y AIj), vehicle factor analysis evaluation data (Y Aj - Y AIj) is calculated. By using the evaluation data for vehicle factor analysis, the vehicle state can be analyzed by taking into consideration the influence of only the vehicle factor. The analysis results are presented to the output device 50, and the evaluation results for the analysis can be added/corrected from the input device 40 to the infrastructure factor database.
[0039]
When analyzing a railway vehicle, the degree of influence of the infrastructure factor on the analysis data (|Y AIj|/|Y Aj|) is calculated. The calculated degree of influence of the infrastructure factor is stored in the infrastructure factor database and displayed on the output device 50 .
[0040]
Since the impact of on-track infrastructure factors on the evaluation data can be seen from the degree of impact of the infrastructure factors stored in the infrastructure factor database, operation management (speed, acceleration, etc.) and vehicle equipment (air conditioning, ventilation, etc.) for each traveling position etc.). This can improve vehicle and passenger comfort and safety.
[0041]
FIG. 2 shows a flowchart for explaining the processing procedure of the infrastructure factor extraction unit 200 in the first embodiment.
[0042]
In step S210, the vehicle data (Xi) measured by the vehicle data detection unit 21 and the evaluation data (Yj) measured by the evaluation data detection unit 22 are obtained.
[0043]
In step S220, the vehicle factor evaluation data (Y Cj) obtained by the vehicle factor estimation unit 100 is acquired.
[0044]
In step S230, infrastructure factor evaluation data (Y Ij(X i)=Y j− Y Cj).
[0045]
In step S240, the infrastructure factor evaluation data (YIj(Xi)) is represented by the infrastructure factor evaluation data (YIj(p)) for the position (p). The position (p) is an element of the vehicle data (Xi) obtained in step S210 and corresponds to the traveling distance from the reference position on the track.
[0046]
In step S250, the positional resolution (Δp) of infrastructure factors is set. The resolution is set to a value smaller than the size of the possible infrastructure factor. In addition, the analysis process is set to finish within a realistic time. Therefore, the size and computation time of past infrastructure factors stored in the infrastructure factor database can be used.
[0047]
In step S260, the infrastructure factor evaluation data (Y Ij(p)) calculated in step S240 is subjected to moving average processing (F Ij (Y Ij)) with the positional resolution (Δp) set in step S250.
[0048]
Through the processing of steps S210 to S260, the infrastructure factor extraction unit 200 calculates the difference between the evaluation data and the vehicle factor evaluation data, and converts the infrastructure factor evaluation data to the position on the track. , and averaged in categories that consider the scale of infrastructure factors.
[0049]
FIG. 3 is a diagram showing an example of data obtained by the processing of steps S210 to S260 shown in FIG.
[0050]
The data 211 is a two-dimensional graph representing the relationship between the vehicle data (X i) obtained in S210 and the evaluation data (Y j). The horizontal axis of the graph represents the position (p) on the track, which is an element of the vehicle data (X i), and the vertical axis represents the j-th evaluation data (Y j).
[0051]
The data 221 is the vehicle factor evaluation data (Y Cj) obtained in S220, and represents a two-dimensional graph similar to the data 211 described above.
[0052]
Data 241 is a two-dimensional graph of the difference between the evaluation data (Yj) obtained in S230 and S240 and the vehicle factor evaluation data (YCj), and represents the infrastructure factor evaluation data (YIj) with respect to the position (p). .
[0053]
The data 261 is a two-dimensional graph representing the infrastructure factor evaluation data (F(Y Ij)) obtained by the moving average processing of S250 and S260. In this graph, the infrastructure factor exists at the position of the high value of the evaluation data.
[0054]
FIG. 4 shows a flowchart for explaining the processing procedure of the infrastructure factor estimation unit 300 in the first embodiment. Hereinafter, the infrastructure factor evaluation data (F(Y Ij)) obtained by the moving average processing in S250 and S260 will be treated as "infrastructure factor evaluation data Y Ij".
[0055]
In step S310, the infrastructure factor evaluation data (Y Ij) extracted in process S260 of the infrastructure factor extraction unit 200 is acquired.
[0056]
In step S320, the evaluation data threshold (Y IjLim) for extracting individual infrastructure factors is input.
[0057]
In step S330, it is determined whether the infrastructure factor evaluation data (Y Ij) is less than the threshold (Y IjLim). If less than the threshold, go to step S340, otherwise go to step S350.
[0058]
In step S340, the infrastructure factor evaluation data (Y Ij) that is less than the threshold is set to zero. By this processing, individual infrastructure factors can be separated from the infrastructure factor evaluation data.
[0059]
In step S350, a position range [p kMin, p kMax] exceeding zero is extracted from the evaluation data obtained in step S340. The evaluation data of this position range becomes the evaluation data of individual infrastructure factors.
[0060]
In step S360, the evaluation data of the position range [p kMin, p kMax] obtained in step S350 is extracted from the evaluation data obtained in step S340, and set as individual infrastructure factor evaluation data (Y Ijk).
[0061]
In step S370, the feature values ​​of individual infrastructure factors are calculated. The feature values ​​include representative position (p k = (p kMin + p kMax)/2), size (Δp k = p kMax - p kMin), maximum value of evaluation data (Y IjkMax), and average value (Y IjkAve). . These feature amounts are added as elements of evaluation data (Y Ijk) of individual infrastructure factors.
[0062]
Through the processing of steps S310 to S370, the infrastructure factor estimation unit 300 acquires the evaluation data of the individual infrastructure factors separated by the threshold input from the input device, and obtains the evaluation data of the individual infrastructure factors. A feature quantity including a representative position, size, maximum value, and average value is calculated, and the feature quantity is added as an element of the evaluation data of the individual infrastructure factor.
[0063]
FIG. 5 is a diagram showing an example of data obtained by the processing of steps S310 to S370 in FIG.
[0064]
The data 311 is a two-dimensional graph of infrastructure factor evaluation data obtained in the processing S260 of the infrastructure factor extraction unit 200 . In the graph, the horizontal axis indicates the position (p) of the infrastructure factor and the vertical axis indicates the evaluation data of the infrastructure factor.
[0065]
The data 341 is a two-dimensional graph of the evaluation data obtained in steps S310-S340. From this graph, we can see that there are four individual infrastructure factors. Data 361 indicates the evaluation data of the third infrastructure factor among the four infrastructure factors.
[0066]
Data 371 indicates the third infrastructure factor evaluation data (Y Ij3) obtained in steps S350 to S370 and its feature amount. The feature values ​​are the representative position of the infrastructure factor (p k = (p kMin + p kMax)/2), the size (Δp k = p kMax - p kMin), the maximum value of the evaluation data (Y IjkMax), and the average value (Y IjkAve). There is
[0067]
FIG. 6 shows a flowchart for explaining the processing procedure of the infrastructure factor DB construction unit 400 in the first embodiment.
[0068]
In step S410, the individual infrastructure factor data calculated by the infrastructure factor estimation unit 300 is acquired. The data to be acquired include position (p k), time (t k) and evaluation data (Y Ijk). Also, if there are multiple infrastructure factors, the following steps are repeated in order.
[0069]
In step S420, infrastructure factor data stored in the infrastructure factor database is acquired. The data to be acquired are the position (p d), time (t d) and evaluation data (Y Ijd), as in step S410.
[0070]
In step S430, the infrastructure factor position (p k) obtained in step S410 and the infrastructure factor position (p d) obtained in step S420 are compared. If the positions of the infrastructure factors match, it is determined to be the same infrastructure factor (p k =p d), and if they do not match, it is determined to be a new infrastructure factor (p k≠p d). In addition, the incidents existing in the infrastructure factor database If the infrastructure factor at the same position as the infrastructure factor cannot be acquired in step S410, it is determined that the infrastructure factor is removed (Y Ijk(p d)=0).
[0071]
In step S440, the infrastructure factor acquired in step S410 is added to the infrastructure factor database as a new infrastructure factor.
[0072]
In step S450, the infrastructure factor acquired in step S410 is added as the same infrastructure factor to the same infrastructure factors stored in the infrastructure factor database.
[0073]
In step S460, the evaluation data corresponding to the time (tk) of the infrastructure factor acquired in step S410 is set to zero for the removal infrastructure factor in the infrastructure factor database.
[0074]
Through the processing of steps S410 to S460, the infrastructure factor DB building unit 400 evaluates the individual infrastructure factors stored in the infrastructure factor database based on the evaluation data of the individual infrastructure factors acquired by the infrastructure factor estimation unit. By comparing with the data, new infrastructure factor evaluation data that does not exist in the infrastructure factor database is added to the infrastructure factor database, and evaluation data of the same infrastructure factor that exists in the infrastructure factor database is added to the infrastructure factor database. It is added as the evaluation data of the infrastructure factor existing in the database, and the evaluation data of the removal infrastructure factor which exists in the infrastructure factor database but is not acquired by the infrastructure factor estimation unit is set to zero.
[0075]
FIG. 7 is a flowchart explaining the processing procedure of the infrastructure factor analysis unit 500. FIG.
[0076]
In step S510, all infrastructure factor data stored in the infrastructure factor database is acquired.
[0077]
In step S520, it is determined whether the infrastructure factor acquired in step S510 is a new infrastructure factor. If it is a new infrastructure factor, go to step S530, otherwise go to step S550.
[0078]
In step S530, the information (position, size, evaluation data, etc.) of the new infrastructure factor acquired in step S510 is displayed on the output device 50. Through this processing, infrastructure factors that can become a problem are extracted, and the range of infrastructure factors to be investigated is specified.
[0079]
In step S540, the survey result of the new infrastructure factor presented in step S530 is input from the input device 40, and the infrastructure factor information in the infrastructure factor database is added or corrected.
[0080]
In step S550, the time change of the infrastructure factor evaluation data acquired in step S510 is calculated. If the evaluation data increases with time, the process proceeds to step S560 as a deterioration infrastructure factor, and if it decreases, the process proceeds to step S580 as a removal infrastructure factor.
[0081]
In step S560, information (position, size, evaluation data, deterioration information, maintenance information, etc.) of deterioration infrastructure factors acquired in step S510 is displayed on the output device 50. This process predicts the deterioration of infrastructure factors and presents the timing of maintenance.
[0082]
In step S570, the response result for the deterioration infrastructure factor information presented in step S560 is input from the input device 40, and the deterioration infrastructure factor information in the infrastructure factor database is added or corrected.
[0083]
In step S580, the information (position, time, size, evaluation data, etc.) of the removal infrastructure factor acquired in step S510 is displayed on the output device 50. Through this processing, the infrastructure factors that are changing the infrastructure environment are extracted, and the range of infrastructure factors to be investigated is specified.
[0084]
In step S590, the survey results for the information on the infrastructure factor to be removed presented in step S580 are input from the input device 40, and the information on the infrastructure factor to be removed in the infrastructure factor database is added or corrected.
[0085]
Through the processing of steps S510 to S590, the infrastructure factor analysis unit 500 analyzes the evaluation data of the individual infrastructure factors stored in the infrastructure factor database, and identifies new infrastructure factors, deteriorated infrastructure factors, and removed infrastructure factors. and output information on the new infrastructure factor including location and scale to the output device, input the survey result of the new infrastructure factor including presence/absence, type, name, and measured data from the input device, and input the infrastructure factor information on the deteriorated infrastructure factors including the deterioration state and maintenance diagnosis is output to the output device; response results for the deteriorated infrastructure factors are input from the input device and registered in the infrastructure factor database; Information on infrastructure factors to be removed including maintenance is output to the output device, and survey results of the infrastructure factors to be removed are input from the input device and registered in the infrastructure factor database.
[0086]
FIG. 8 shows a flowchart for explaining the processing procedure of the vehicle analysis unit 600 in the first embodiment.
[0087]
At step S610, the data detection device 20 acquires analysis data (X Ai, Y Aj) for vehicle analysis.
[0088]
In step S620, evaluation data (Y Ijk(p A)) of all individual infrastructure factors existing at the position (p A) of the analysis data obtained in step S610 is obtained from the infrastructure factor database.
[0089]
In step S630, the individual infrastructure factor evaluation data (Y Ijk (p A, t A)) at the analysis data time (t A) is calculated from the individual infrastructure factor evaluation data acquired in step S620.
[0090]
In step S640, evaluation data for infrastructure factor analysis (Y AIj) is calculated by adding (ΣY Ijk (p A, t A)) all the individual infrastructure factor evaluation data calculated in step S630. Vehicle analysis (step S650) and management (step S660) are performed using this infrastructure factor analysis evaluation data (YAIj).
[0091]
In step S651, vehicle factor analysis evaluation data (Y Aj - Y AIj). By this processing, evaluation data that affects only the vehicle factor, excluding the infrastructure factor, is obtained.
[0092]
In step S652, the evaluation data for vehicle factor analysis calculated in step S651 is used to analyze the vehicle condition and evaluate deterioration and maintenance.
[0093]
In step S661, in vehicle management processing, the degree of influence of the infrastructure factor on the analysis data (| Y AIj|/|Y Aj|) is calculated. With this processing, it is possible to know the locations where the influence of infrastructure factors is large.
[0094]
In step S662, the degree of influence of the infrastructure factors calculated in step S661 is used to adjust vehicle operation management (speed, acceleration, etc.) and operating conditions of vehicle equipment (air conditioning, ventilation, etc.) according to the track conditions. This improves vehicle and passenger comfort and safety.
[0095]
Through the processing of steps S610 to S660, the vehicle analysis unit 600 calculates evaluation data for analysis of infrastructure factors from the past evaluation data of infrastructure factors stored in the infrastructure factor database, and measures the evaluation data with the data detection device. The vehicle state is analyzed by considering the influence of only the vehicle factor from the analysis data and the evaluation data for analysis of the infrastructure factor, and the degree of influence of the infrastructure factor on the analysis data from the analysis data and the evaluation data for analysis of the infrastructure factor. is calculated to adjust the operational conditions of vehicle equipment including air conditioning and ventilation as well as operation management for each driving position, including speed and acceleration.
[0096]
It should be noted that the present invention is not limited to the above-described embodiments, and includes various modifications. For example, the above-described embodiments have been described in detail in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the described configurations. Moreover, it is possible to add, delete, or replace a part of the configuration of the embodiment with another configuration.
Code explanation
[0097]
DESCRIPTION OF SYMBOLS 1... Rail vehicle, 2... Car body, 3... Bogie, 10... Rail, 20... Data detection device, 21... Vehicle data detection part, 22... Evaluation data detection part, 30... Condition monitoring analysis device, 40... Input device, 50 ... output device 100 ... vehicle factor estimation unit 200 ... infrastructure factor extraction unit 300 ... infrastructure factor estimation unit 400 ... infrastructure factor DB construction unit 500 ... infrastructure factor analysis unit 600 ... vehicle analysis unit
The scope of the claims
[Claim 1]
It can be connected to a data detection device that measures vehicle data and evaluation data with sensors mounted on the vehicle, an input device that inputs and outputs data, and an output device,
a vehicle factor estimation unit that estimates vehicle factor evaluation data from the vehicle data and the evaluation data;
an infrastructure factor extraction unit that extracts infrastructure factor evaluation data from the vehicle data, the evaluation data, and the vehicle factor evaluation data;
an infrastructure factor estimation unit that estimates individual infrastructure factor evaluation data from the infrastructure factor evaluation data;
an infrastructure factor DB construction unit that stores the evaluation data of the individual infrastructure factors in the infrastructure factor database;
an infrastructure factor analysis unit that monitors the evaluation data of the individual infrastructure factors stored in the infrastructure factor database and analyzes the infrastructure factors;
A vehicle analysis unit that analyzes the vehicle condition in consideration of the infrastructure factor analysis information;
A railway vehicle condition monitoring and analysis device equipped with
[Claim 2]
In the railway vehicle condition monitoring and analysis device according to claim 1,
The infrastructure factor extracting unit develops the infrastructure factor evaluation data obtained by obtaining the difference between the evaluation data and the vehicle factor evaluation data into infrastructure factor evaluation data for a position on the track, and extracts the infrastructure factor evaluation data. Condition monitoring and analysis equipment for railroad vehicles that performs averaging processing in categories that take scale into account.
[Claim 3]
In the railway vehicle condition monitoring and analysis device according to claim 1,
The infrastructure factor estimation unit acquires the evaluation data of the individual infrastructure factors separated by the threshold input from the input device, and obtains the representative position, size, maximum value, and average value of the evaluation data of the individual infrastructure factors. and adding the feature quantity as an element of the evaluation data of the individual infrastructure factors.
[Claim 4]
In the railway vehicle condition monitoring and analysis device according to claim 1,
The infrastructure factor DB construction unit compares the evaluation data of the individual infrastructure factors acquired by the infrastructure factor estimation unit with the evaluation data of the individual infrastructure factors stored in the infrastructure factor database, thereby determining the infrastructure factor Evaluation data of a new infrastructure factor that does not exist in the database is added to the infrastructure factor database, and evaluation data of the same infrastructure factor that exists in the infrastructure factor database is used as evaluation data of the infrastructure factor that exists in the infrastructure factor database. A railway vehicle condition monitoring and analysis device for adding and setting evaluation data of removed infrastructure factors that are present in the infrastructure factor database but not acquired by the infrastructure factor estimating unit to zero.
[Claim 5]
In the railway vehicle condition monitoring and analysis device according to claim 1,
The infrastructure factor analysis unit analyzes evaluation data of individual infrastructure factors stored in the infrastructure factor database, determines new infrastructure factors, deteriorated infrastructure factors, and removed infrastructure factors, and determines new infrastructure factors including location and scale. Information about the factors is output to the output device, and survey results of new infrastructure factors including presence/absence, type, name, and measured data are input from the input device to obtain the infrastructure factor data.information related to deteriorated infrastructure factors including the deterioration state and maintenance diagnosis is output to the output device; response results for the deteriorated infrastructure factors are input from the input device and registered in the infrastructure factor database; A railway vehicle condition monitoring and analysis apparatus for outputting information on infrastructure factors for removal, including maintenance, to the output device, and inputting investigation results of the infrastructure factors for removal from the input device and registering them in the infrastructure factor database.
[Claim 6]
In the railway vehicle condition monitoring and analysis device according to claim 1,
The vehicle analysis unit calculates evaluation data for infrastructure factor analysis from past evaluation data for infrastructure factors stored in the infrastructure factor database, and calculates the analysis data measured by the data detection device and the infrastructure factor analysis data. Analyze the vehicle state from the evaluation data considering the influence of only the vehicle factors, calculate the degree of influence of the infrastructure factors on the analysis data from the analysis data and the evaluation data for analysis of the infrastructure factors, and include speed and acceleration. Condition monitoring and analysis equipment for railroad vehicles that adjusts operating conditions of vehicle equipment including air conditioning and ventilation.
[Claim 7]
The railway vehicle condition monitoring and analysis device according to any one of claims 1 to 6;
the data detection device;
the input device and the output device;
A railway vehicle condition monitoring and analysis system equipped with
[Claim 8]
A railway vehicle equipped with the railway vehicle condition monitoring and analysis system according to claim 7.
[Claim 9]
A railway vehicle condition monitoring and analysis method using the railway vehicle condition monitoring and analysis device according to claim 1,
a vehicle factor estimation step of estimating evaluation data of the vehicle factor from the vehicle data and the evaluation data;
an infrastructure factor extraction step of extracting the infrastructure factor evaluation data from the vehicle data, the evaluation data, and the vehicle factor evaluation data;
an infrastructure factor estimation step of estimating the evaluation data of the individual infrastructure factors from the evaluation data of the infrastructure factors;
an infrastructure factor DB construction step for storing the evaluation data of the individual infrastructure factors in the infrastructure factor database;
an infrastructure factor analysis step of monitoring the evaluation data of the individual infrastructure factors stored in the infrastructure factor database and analyzing the infrastructure factors;
a vehicle analysis step of analyzing the vehicle state in consideration of the infrastructure factor analysis information;
A railway vehicle condition monitoring and analysis method equipped with