0001]The present invention predicts the movement behavior of the elevator user in such elevator hall, to lift a user motion estimation method and elevator user movement prediction device.
BACKGROUND
[0002]The elevator is a major transportation in the building, elevator user (hereinafter referred to as "user") for efficient transport of multiple elevator Unit (hereinafter referred to as a "Unit") is group management Elevator system controlled is provided. In a typical vertical buttons elevators systems, when the moving direction from the upper and lower buttons installed in the elevator hall is input, No. moving toward the input moving direction is dispatched to the boarding floor user . At this time, some systems, until Unit immediately after the operation of the upper and lower buttons arrives, among the plurality of Unit, which Unit arrives is indicated by lighting of the warning lamp. This notice light is moved by the user before the Unit lit, to wait for the arrival, that the smooth ride is carried out, are expected.
[0003]
　In more recent years, the destination floor reservation elevators system for inputting a destination floor by elevator hall is used. The destination floor reservation type group management elevator system, by inputting a destination floor for each user with respect to destination floor input terminal installed in the elevator hall, No. moving to input a destination floor is dispatched. Unit to be dispatched is shown to the user by a display device included in the destination floor input terminal, the destination floor is indicated on the display unit to be installed at the same time in each Unit. The user is moved to the front of the Unit as shown in the terminal, it is possible to ride waiting for the arrival, are expected.
[0004]
　In this way, according to the elevator system, behavior that is expected in the user slightly different. In addition, the behavior of the user, not necessarily the action as expected, which is expected in the elevator system. For example, in the up-and-down button-type elevator system, not only the button of the destination floor of direction, and users press the button of both above and below, also there are users to press a dedicated button for wheelchair users in addition to the up and down buttons. In addition, the destination floor reservation elevators, rather than the Unit indicated by the destination floor reservation terminal, make sure the display device to be installed in each unit, Unit for less Unit or the starting lineup of the number of people who are waiting, such as riding by the self-judgment there is also a user to determine the Unit to. Further, in the case a plurality of users toward the same destination floor, only one of the user inputs a destination floor to the terminal, there are also so-called tailgating action that the user is also a passenger other users in the Unit to ride .
[0005]
　Elevator system, because it is the operation control in response to the input of the user, if different from the behavior that user behavior is expected, there is a possibility that can not be sufficiently exhibit the performance.
[0006]
　As prior art to this, for example, there is known a technique described in Patent Document 1 and Patent Document 2.
[0007]
　In the technique described in Patent Document 1, resulting from such service floor floor layout and elevators in the building are stopped, in view of the elevator transit, the movement of the entire building human is simulated.
[0008]
　Further, in the technique described in Patent Document 2, destination floor registration method in a destination floor reservation elevators system (card reader mode, a numeric keypad method, an encryption operation mode) in response to, the number of necessary terminals is calculated.
CITATION
Patent Document
[0009]
Patent Document 1: JP 2009-96612 JP
Patent Document 2: JP 2016-190697 JP
Summary of the Invention
Problems that the Invention is to Solve
[0010]
　In the technique described in Patent Document 1, the user, with respect to the elevator system, which is assumed to make the appropriate input, under assumption out actions often situations, it is difficult accurate simulation. In addition, the influence of the elevator of the various alarm system (such as a notice light) is not taken into consideration. In addition, no consideration is given to the usage behavior of the destination floor reservation elevators.
[0011]
　The technique described in Patent Document 2, although the time required for input operation according to the destination floor registration system is considered, the user, based on the premise that the riding the Unit assigned by elevator systems. For this reason, in a situation of many actions outside the premise, it is difficult to calculate the exact number of terminals.
[0012]
　Accordingly, the present invention can predict the movement of precisely user when there are users to perform different actions and behavior to be assumed in the elevator system, the elevator user motion estimation method and elevator user movement prediction to provide a device.
Means for Solving the Problems
[0013]
　In order to solve the above problems, the elevator user mobile prediction method according to the present invention is a method for predicting the movement of the elevator user in the elevator hall, the behavior of the elevator user associated with the information input and output relating to elevator service , and elevator operating state, based on a process of estimating the movement of an elevator user, the behavior of the elevator user, including a behavior which has been previously assumed in elevator operation, and unexpected behavior, the.
[0014]
　Further, in order to solve the above problems, the elevator user mobile prediction method according to the present invention is a method for predicting the movement of the elevator user in the elevator hall, based on elevator user behavior corresponding to the elevator operating conditions Te, estimates the movement of elevator users, whether elevator user takes a predetermined action, and elevator operating conditions to be expected on the basis of elevator specifications, a determination of the elevator operating state by the elevator user, on the basis ,judge.
[0015]
　In order to solve the above problems, the elevator user mobile prediction apparatus according to the present invention is for predicting the movement of the elevator user in the elevator hall, the elevator operation prediction unit for predicting the elevator operation based on the elevator specifications , and elevator operating predicted, a behavior of the elevator user associated with the information input and output relating to elevator service, on the basis of the previously are contemplated action and unexpected behavior in elevator operation, the movement of the elevator users a user mobile prediction unit to estimate, has a user action parameter setting means for setting parameters related to the probability of unexpected behavior, the, the user moves the prediction unit, behavior elevator user unexpected or take, according to the set parameters is determined.
[0016]
　Further, in order to solve the above problems, the elevator user mobile prediction apparatus according to the present invention is for predicting the movement of the elevator user in the elevator hall, the elevator operation prediction for predicting the elevator operation based on the elevator specifications and parts, based on elevator user behavior corresponding to the elevator operating conditions, and user mobile prediction unit for estimating a motion of the elevator user, the elevator operation prediction unit, the associated criteria for determining elevator operating state It has a lift operating parameter setting means for setting a first parameter, and user behavior parameter setting means for elevator user to set a second parameter related to criteria for determining elevator operating state, the user moves prediction parts are row elevator user of a given Or take in response to the first parameter and the second parameter set is determined.
The invention's effect
[0017]
　According to the present invention, it is possible to predict the movement of precisely user when there are users to perform different actions and behavior to be assumed in the elevator system.
[0018]
　Other problems mentioned above, and advantages will become apparent from the following description of embodiments.
BRIEF DESCRIPTION OF THE DRAWINGS
[0019]
[1] a functional block diagram showing the configuration of the elevator user mobile predicting apparatus which is Embodiment 1.
[2] a functional block diagram showing the configuration of the elevator user mobile predicting apparatus which is Embodiment 2.
[Figure 3] a functional block diagram showing the configuration of the elevator user mobile predicting apparatus which is Embodiment 3.
[4] functional block diagram showing the configuration of the elevator user mobile predicting apparatus which is Embodiment 4.
[5] a functional block diagram showing the configuration of the elevator user mobile predicting apparatus which is Embodiment 5.
[6] a functional block diagram showing the configuration of the elevator user mobile predicting apparatus which is Embodiment 6.
[7] input form provided on the software to set various probabilities.
[8] operation prediction result of the report, which is an example of the output data.
[9] a flowchart showing a prediction process executed by the destination floor reservation type landing prediction unit and the destination floor reservation, self-determination landing prediction unit in FIG.
[10] a flowchart showing a prediction process executed by the upper and lower button type landing prediction unit and upper and lower button type notice lamp considering landing prediction unit in FIG.
[11] a flowchart showing a part of the prediction process executed by the user mobile predictor destination floor reservation type landing prediction unit and the destination floor reservation wheelchair button combination landing prediction unit in (Fig. 6).
[12] a flowchart showing a part of the prediction process executed by the upper and lower button type landing prediction unit and the upper and lower buttons wheelchair button combination landing prediction unit in the user movement prediction unit (Figure 6).
[13] a flowchart showing a part of the prediction process executed by the user movement prediction unit up or down button type landing prediction unit and the upper and lower buttons both setting landing prediction unit in (Fig. 4).
[14] a flowchart showing a part of the prediction process executed by the destination floor reservation type landing prediction unit and tailgating landing prediction unit in the user movement prediction unit (Figure 2).
[15] predicted results of Example 1 Example.
Examples of prediction results by [16] Example 1.
[17] predicted results of Example 1 Example.
[18] predicted results of Example 3 Example.
Examples of prediction results by [19] Example 3.
Examples of prediction results by [20] Example 3.
Examples of prediction results by [21] Example 3.
[22] a functional block diagram showing the configuration of the elevator user mobile predicting apparatus which is Embodiment 7.
Flowchart illustrating the boarding determination process in FIG. 23 Example 7.
DESCRIPTION OF THE INVENTION
[0020]
　Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the drawings, those reference numerals identical shows the constituent elements with identical constituent elements or similar features.
Example 1
[0021]
　Figure 1 is a first embodiment of the present invention is a functional block diagram showing the configuration of the elevator user mobile device for predicting a destination floor reservation elevators.
[0022]
　In the first embodiment, the arithmetic processing unit such as a microcomputer, by executing a predetermined program, with each function. Each data is stored in a storage device such as a semiconductor memory. As for other embodiments to be described later it is also the same.
[0023]
　Elevator user mobile prediction apparatus 1 includes a user data 10, a layout data 20, the elevator specification data 30, a user generating unit 101, an elevator operation prediction unit 104 may set the destination floor reservation, self-determined rate a user action parameter setting unit 110, a user mobile prediction unit 113, a destination floor reservation type landing prediction unit 123 and the destination floor reservation, self-determination landing predicting unit 124 included in the user mobile prediction unit 113, an output unit 105 It constituted by. These processing unit and data are connected to each other, data or signals are exchanged.
[0024]
　User data 10 is, for every time zone, with information about the destination floor of the number of users and users that arrive at the elevator hall.
[0025]
　Elevator specification data 30, has a capacity of each elevator, the information about the stop floor (service floor). Elevator specification data 30 further rated speed and door velocity may have specification information such as the control scheme of the group management.
[0026]
　Layout data 20 includes information relating to elevator number and the number of destination floor reservation device. The layout data 20 is further elevator hall layout may have layout information such as elevator installation position and the installation position of the destination floor reservation device.
[0027]
　The user generator 101, based on the user data 10, at each time, to generate the user that occurs elevator hall (data).
[0028]
　User behavior parameter setting unit 110, a parameter related to the action form of a user, in the user (user in this embodiment performs an input operation to the destination floor reservation device), the input to the destination floor reservation device depending as the occurrence rate of the user to act at its discretion not follow the Unit information shown in the elevator system, to set the self-judgment rate. Incidentally, a user to act as expected in the elevator system, i.e. occurrence rate of the user to act in accordance Unit information indicated by the elevator system in response to the input to the destination floor reservation device is provided with a "1-self determination rate" Become. In addition, self-determined rate may be expressed in terms of "%".
[0029]
　The user movement prediction unit 113, based on the user data 10 and the layout data 20, to predict the user's behavior after the movement and lift dismounting of the user to the elevator ride. In the present embodiment, the user of the actions used in the movement prediction of up elevator ride, based on the self-determination rate set by the user action parameter setting means 110, it is determined to act in accordance with instructions and guidance of the elevator system If the predicted movement of the user by the destination floor reservation type landing prediction unit 123, if it is determined to act in the user's self-determination, predictive migration of users by the destination floor reservation, self-determination landing prediction unit 124 It is.
[0030]
　Incidentally, user behavior is in elevator hall, but is accompanied in the information input and output relating to elevator service, the input operation to the elevator system user performs is determined at the user mobile prediction unit 113, an input operation the operation and response of the elevator system, such as the unit assignments and guidance display according to is determined then by a lift operation prediction unit 104 to be described.
[0031]
　Elevator operation prediction unit 104 is predicted by the user mobile prediction unit 113, and elevator operation behavior of the user, based on the elevator specification data 30 to predict the elevator operation status at each time.
[0032]
　The output unit 105 outputs the prediction result in the lift operation prediction unit 104 and the user motion estimation unit 113.
[0033]
　Data outputted from the elevator operation prediction unit 104, for example, the time interval (operation interval) to elevator starting at any floor, the number of users who elevator is transported at any time (transport capacity), one elevator There time interval to leave any floor (round operation time), a waiting time of the user at any floor. These data are the average value, minimum value, maximum value, may be indicated by like median.
[0034]
　Data output from the user movement prediction section 113, for example, number of persons waiting for the elevator the entire hall any floor at each time, number of persons waiting for each Unit, waiting time for the elevator ride at any floor, any interfloor is the time to move. These data are the average value, minimum value, maximum value, may be indicated by like median.
[0035]
　The output unit 105, elevator and the position and number of passengers each unit expected in operation prediction unit 104, the alignment number and destination floor for each elevator Unit user in the elevator hall is predicted at the user mobile prediction unit 113 using the alignment number of reservation terminals, the prediction result may be output to animate by the computer graphics.
[0036]
　Figure 7 is the user action parameter setting unit 110, indicating an input form provided on the software to set various probabilities.
[0037]
　As shown in FIG. 7, the input form 1000 can be inputted for the occurrence probability 1001 to 1007 of different users actions and behavior to be expected in the elevator system. Incidentally, the probability 1004 (R 4 %) is a self-determined rate set in the first embodiment. For other probability 1001 to 1003, 1005 to 1007, a generation probability set in other embodiments, to be described later.
[0038]
　Incidentally, user behavior parameter setting unit 110, a probability (in the first embodiment self determination rate), without using an input form may be set by reading a value recorded in a database.
[0039]
　Figure 8 shows the operation prediction result of the report, which is an example of output data by the output unit 105.
[0040]
　As shown in FIG. 8, report 2000, as the elevator specification information 2001 of consideration, floors and the number stops, shows the capacity, as information 20002 and the predicted result 2003 of the time of day or the user of interest, elevator hall arrival and outputs the average waiting time and maximum wait number of up to ride the elevator from to.
[0041]
　Further, as shown in FIG. 8, user behavior parameter setting values of the probability set by means 110 (in this embodiment 1, the "self-determining factor R 4 %": see FIG. 7) to 2004 and 2005, together it may be output.
[0042]
　Then, as the user motion estimation method will be described prediction process executed in the first embodiment.
[0043]
　In the first embodiment, when simulating the movement of people in the building floors in view of the elevator operation, as described below, consideration is different actions and behavior of the user is assumed in the elevator system It is the (other examples as well). As the simulation technique the movement of a person in the building floors in view of the elevator operation, known techniques (e.g., see Patent Document 1 described above) is applied. Further, as a technique for simulating the movement of people, known technologies such as cellular automaton is applied.
[0044]
　Here, the movement of people, ambient conditions, for example, the destination of the person differs by the presence or absence of other people or obstacles, in the known art, depending on the circumstances at a certain point in time, person, following a certain point anywhere to at by setting whether (e.g., which direction) moves in advance, movement of people within a given space is predicted. As described below, in each embodiment, in order to predict the movement of human i.e. the user in the elevator floor, in order to set the movement of the user, as the state of the surroundings, with the elevator operating conditions are used, called the user's input operation for the elevator system, such as registration and, due to the output from the elevator system, such as a guide display on No. assigned to the call machine, is used behavior of the user.
[0045]
　9, the prediction process (mainly executed by the user movement prediction unit 113 (FIG. 1) destination floor reservation type landing prediction unit 123 and the destination floor reservation, self-determination landing prediction unit 124 in the determination of the behavior of the user process: other embodiments are flowcharts showing the same). In FIG. 9, abbreviated processing steps as "S" (similar to the flow chart of FIGS. 10 to 14 described later). Further, in FIG. 9, of the transition in the branch determination process, the transition time of the determination YES is indicated in practice arrows, transition indicated by a dotted arrow when the determination NO (flowcharts of FIGS. 10 to 14 described later as well) .
[0046]
　In the following description, users and elevators, unless described, the user or an elevator on software (data, program) (similar to the flow chart of FIGS. 10 to 14 described later).
[0047]
　First, in S101, the user to arrive at the elevator hall, enter the destination floor by operating the destination floor reservation terminal. Here, the user moves the prediction unit 113, the user generated by the user generating unit 101 (data including destination floor) is set. After S101 execution, the process proceeds to S102.
[0048]
　In S102, the user, from the destination floor reservation terminal, the destination floor moving Unit e to the user i to get the information of, Unit e i a, and ride to the Unit e. That is Unit e assigned by the system relative to the destination floor of the user which is set in S101 i is acquired from the elevator operation prediction unit 104, the acquired Unit e i is set as to the Unit e ride. After the S102 execution, the process proceeds to S103.
[0049]
　In S103, in response to self-determination rate set by a user action parameter setting unit 110, so that the next processing step S102 (transition destination) is selected stochastically, the processing flow from S102 branches . That is, after S102 executed, a transition to S104 with a probability of self-determination factor, a transition to S105 with the remaining probability i.e. probability of "1-self judgment rate".
[0050]
　In the first embodiment, in the stochastic branches such as S103, the pseudo-random number is used. After S102 execution, it generates a pseudo random number r between 0 and 1. Then, r is generated to transition to S104 in the case of self-determination index value smaller than, r is shifted to S105 in the case of more than self-judgment rate. Here, the pseudo-random number is generated using a known pseudorandom number generation method such as a Mersenne Twister method.
[0051]
　Note that the stochastic branch as described above, S108 and 9, the same applies probabilistic branches in the flowchart of FIGS. 10 to 14 described later.
[0052]
　In S104, Unit e rides at its discretion of the user i is selected, Unit e is selected j is to Unit e ride. That, and the Unit acquired in S102 (e i ) is Unit selected in S104 (e i is changed to).
[0053]
　User elevator Unit to ride at its discretion, the stop floor is displayed on the display device corresponding to the elevator Unit includes destination floor of the user is acquired from the elevator operation prediction unit 104. Furthermore, the user elevator Unit to ride at its discretion may be selected using a so-called utility function (function representing the efficacy and value of such objects and information numerically).
[0054]
　In the first embodiment, the utility function, elevator Unit arrival order k from self determination time, number of persons waiting n, at least one travel time t until the elevator Unit riding position from the position of the user as a variable, It is defined. The elevator Unit value of the utility functions defined is maximized is selected. For example, the utility function U is, U (k, n, t) = - αk-βn-γt (α, β, γ is an arbitrary coefficient) is defined as. Here, if, α = 0, β = 1, a γ = 0, U (n) = - n, and the fewest Unit is number of persons waiting n, since most utility function increases, is selected at its discretion to become Unit.
[0055]
　After the S104 execution, the process proceeds to S105. Further, as described above, after S102 executed, the process proceeds to S105 with a probability of (1-self determination index).
[0056]
　In S105, the user is estimated to wait until arriving in front of the ride to the Unit e. In other words, the user, toward the ride to the Unit e, to move up to the previous, is estimated to wait until at Unit arrival before riding to the Unit e. After the S105 execution, the process proceeds to S106.
[0057]
　In S106, riding to the Unit e arrives, the user is trying to ride to the Unit e ride. Here, the elevator operation prediction unit 104, the arrival data ride to Unit e is obtained. After the S106 execution, the process proceeds to S107.
[0058]
　In S107, based on the operational data of the ride to the Unit e is obtained from the elevator operation prediction unit 104, or not ride on Unit e to ride user is determined. If you can ride (Yes in S107), the user mobile prediction unit 113 terminates the prediction process. If you can not ride to ride to the Unit e (No of S107), for example, or when the elevator door that the number of passengers exceeds the capacity is close to the previous ride, and the process proceeds to S108.
[0059]
　In S108, the processing flow after S107 executed, stochastically branches similarly to S103. If the user in S107 is determined to have failed to take the Unit to ride (No in S107), a transition to S104 with a probability of self-determination rate, the remaining probability i.e. S101 with a probability of "1-self determination rate" Transition. In other words, the user, with a probability of self-judgment rate, perform an action based on the again self-judgment, with a probability of "1-self-judgment rate", is expected to repeat the action back to the operation of the terminal. In the first embodiment, in S103 and S108, the self-determined ratio of the same value that is set by a user action parameter setting unit 110 is used.
[0060]
　Note that in S103 and S108, may be used self-determination rate different values. In this case, the user action parameter setting unit 110 may be set to self-determination index, respectively, in first action and re-action, self determination rate set by a user action parameter setting means 110 with a predetermined rule it may be changed.
[0061]
　In the prediction processing shown in FIG. 9, S104 is a process of predicting selecting a Unit to ride by the user of the self-determination. Therefore, S104 is performed by the destination floor reservation, self-determination landing prediction unit 124. Further, S102 is a process of predicting that the Unit to ride in accordance with the guidance and instruction of the elevator system is determined. Therefore, S102 is performed by the destination floor reservation type landing prediction unit 123.
[0062]
　Next, the movement prediction result of the user according to the first embodiment will be described with reference to FIGS. 15-17.
[0063]
　15, 16 and 17 are examples of the prediction result of the embodiment 1, showing the elevator states and user in the elevator hall destination floor reservation elevators are installed. In each figure, the terminal 3020 rows destination floor reservation type, 3000,3001 and 3002, respectively Unit e 1 , Unit e 2 and Unit e 3 shows a.
[0064]
　First described the state of FIG. 15.
[0065]
　Unit e 1 indicator 3010 corresponding to the f 2 indicates that stop at floor, Unit e 2 indicator 3011 corresponding to the f 5 indicate that stops the floor, Unit e 3 indicator 3012 corresponding to the f 2 , f 3 indicate that stops the floor. In addition, completion of the operation of the user 3101 row destination floor reservation terminal, destination floor f of the user 3101 2 against Unit E 3 is ride to have been instructed (3111). User 3100, in operation of the terminal, destination floor f 2 with respect to the Unit e 1 is indicated ride to (3112). User 3102, Unit E 2 are waiting for the arrival to move in front of the user 3103,3104,3105 and 3106 Unit E 3 are waiting for the arrival to move to the previous.
[0066]
　Next, the state of FIG. 16, that is, from the state of FIG. 15, all users on state when moved according to the instructions or guidance from the elevator system will be described.
[0067]
　Elevator state is the same as that of FIG. 15. User 3101 and 3100, and act in accordance with the destination floor of Unit instructions or guide, user 3101 Unit E 3 wait for the arrival to move in front of the user 3100 Unit E 1 moves to the front of the waiting for the arrival.
[0068]
　Next, the state of FIG. 17, that is, from the state of FIG. 15, a portion of the user (3101) is not follow the instructions or guidance from the elevator system, described state when moving at its discretion.
[0069]
　Elevator state is the same as that of FIG. 15. Destination floor f of the user 3101 2 to have been instructed by the elevator system Unit e 3 other two Unit e of 1 can be confirmed from the display device 3010 that can be moved any time. In addition, Unit E 3 against four people the number of people waiting for a ride, Unit E 1 the number of people waiting for a ride is 0 people at the time of FIG. 15, is little more waiting people. For this reason, the user 3101, a different Unit e is an instruction from the elevator system 1 is performing the decision to ride in.
[0070]
　In this prediction results, Unit E 3 passengers, which is expected to ride to the Unit E 1 by riding in, Unit E 3 will be starting with one person less state, Unit E 1 is assumed elevator system rather than number of people will be starting with one person many people. Alternatively, Unit e by elevator system 1 there is a possibility that the user who has been instructed to ride to not be riding occurs. In this way, by a difference occurs in the actual usage and elevator usage of the system is assumed, decrease in operating efficiency of the entire elevator system, said that can not be precise instructions and guidance to the user it is possible to predict the situation.
[0071]
　According to the first embodiment, by determining the user behavior of users using the probability to act by the user of the self-determination regardless of the Unit for instructing the elevator system, a behavior expected in the elevator system can predict the movement of precisely user when there are users to perform different actions. This improves the accuracy of elevator operation prediction, elevator transport capacity, such as latency and number of persons waiting can be accurately evaluated. Thus, by using the prediction result of the embodiment 1, in response to elevator demand in a building, it is possible to accurately elevator planning and accurate lift design. Further, a prediction result by the first embodiment, by using the group management control of the elevator is improved human transport efficiency in a building.
Example 2
[0072]
　Figure 2 is a second embodiment of the present invention is a functional block diagram showing the configuration of the elevator user mobile device for predicting a destination floor reservation elevators.
[0073]
　Elevator user mobile prediction apparatus 2, the user data 10, a layout data 20, the elevator specification data 30, a user generating unit 90, the elevator operation prediction unit 104 may set the destination floor reservation, self-determined rate constituted by a user action parameter setting unit 110, a user mobile prediction unit 152, a destination floor reservation type landing prediction unit 123 and the tailgating landing prediction unit 154 provided in the user mobile prediction unit 152, an output unit 105 . These processing unit and data are connected to each other, data or signals are exchanged.
[0074]
　Hereinafter, differences from the first embodiment mainly includes a user action parameter setting unit 110, the user generating unit 90 and the user movement prediction unit 152 will be described.
[0075]
　User behavior parameter setting unit 110 sets the tailgating rate and average tailgating number (see FIG. 7 above).
[0076]
　The user generator 90 on the basis of the user data 10 to generate a user who generated the elevator hall (data) at each time. Here, when generating a user, in the second embodiment, tailgating rate R is set by the user action parameter setting unit 110 5 appearance timing destination floor is the same on the basis of the average tailgating number n and is close utilized set in advance as travel companions a person.
[0077]
　Number of companion generated is set average (expectation) and distributed according to a Poisson distribution with a mean tailgating number n. Further, by using the generation time and destination floor of the user individual as the user data, by applying a companion information to the user either manually or automatically, it may set a condition that tailgating is occurring detail.
[0078]
　The user movement prediction unit 152, for users of the tailgating behavior, predict the movement by tailgating landing prediction unit 154, the user not to tailgating behavior, predict the movement by the destination floor reservation type landing prediction unit 123 to.
[0079]
　Then, as the user motion estimation method will be described prediction process executed in the second embodiment.
[0080]
　Figure 14 is a flowchart showing a part of the prediction process executed by the user movement prediction unit 152 (FIG. 2) the destination floor reservation type landing in the prediction unit 123 and the tailgating landing prediction unit 154.
[0081]
　In the flowchart of FIG. 9 showing a prediction process of Example 1, S101 and S102, that is, input and entered processing related to the Unit acquired moving to a destination floor to the destination floor to the destination floor registration device, the flow chart of FIG. 14 replace.
[0082]
　It will be described below the flow chart of FIG. 14.
[0083]
　In S601, it is determined whether the bank's, if there are companions (Yes in S601), the process proceeds to S602, (No in S601) if the companion is not, the process proceeds to S603. Here, S601, similar to S103 in FIG. 9, a probabilistic branching. That is, the user generated by the user generating unit 90, the user action is a parameter companions with a probability of tailgating rate set by the setting means 110 is present, the remaining probability or "1-tailgating rate travel companions is a not a probability of ".
[0084]
　In S602, whether the user has already transmitted the information of riding the elevator e from travel companions it is determined. Travel companions are by operating the destination floor reservation terminal earlier than the user, if they are told the ride to the Unit e (Yes of S602), the user without operating the destination floor reservation terminal, to ride moves toward the Unit e. That, companions are generated before the temporally user by the user generating unit 90, if the No. data to move to the destination floor of the companions have been acquired from the elevator operation prediction unit, accompanied user as already communicated information ride elevators e from user ends the series of processes shown in FIG. 14, then, S103 of FIG. 9 is executed. Further, companion is not operating the destination floor reservation device, the user travel companions, if not communicated ride to Unit e (No in S602), i.e., the bank's time by the user generating unit 90 when produced later than to users, the process proceeds to S603.
[0085]
　In S603, the destination floor to the destination floor reservation terminal is input. That is, the user movement prediction unit 152, destination floor of the user that is generated earlier in time than the companion by the user generating unit 90 is set. After the S603 execution, the process proceeds to S604.
[0086]
　In S604, the user, from the destination floor reservation terminal, the destination floor moving Unit e to the user i to get the information of, Unit e i a, and ride to the Unit e. That is Unit e assigned by the system relative to the destination floor of the user which is set in S603 i is acquired from the elevator operation prediction unit 104, the acquired Unit e i is set as to the Unit e ride. After the S604 execution, the process proceeds to S605.
[0087]
　In S605, the presence or absence of companions is determined. Advances to S606 in the case (Yes in S605) there are travel companions, if companions are not (No in S605), and ends the series of processes shown in FIG. 14, the process proceeds to S103 of FIG. 9.
[0088]
　In S606, the user communicates the ride to travel companions Unit e. In other words, Unit rides for travel companions e is set. After S606 execution, it terminates the series of processes shown in FIG. 14, the process proceeds to S103 of FIG. 9.
[0089]
　According to the second embodiment, by predicting the behavior of a user using a tailgating rate, exactly the user when there are users to perform different tailgating actions and behavior expected in the elevator system it is possible to predict the movement. Therefore, using the prediction result of Example 2, or enables accurate lift plans and accurate lift design, or improved elevator transportation efficiencies group control.
[0090]
　In the present embodiment 2, since a modification of the S101 and S102 of the flowchart of FIG. 9, in addition to the tailgating rate, it is considered self determination factor described above. Of tailgating rate and self determination rate, when considering only the tailgating rate may be set to self-determination factor to zero.
Example 3
[0091]
　Figure 3 is a third embodiment of the present invention is a functional block diagram showing the configuration of the upper and lower buttons elevators of elevator users moving prediction apparatus.
[0092]
　Elevator user mobile prediction apparatus 3, the user data 10, a layout data 20, the elevator specification data 30, a user generating unit 101, an elevator operation prediction unit 104, a user action that can be set to notice lamp account index a parameter setting means 110 constituted by a user mobile prediction unit 111, and the upper and lower button type landing prediction unit 121 and the upper and lower button type notice lamp considering landing prediction unit 122 provided in the user mobile prediction unit 111, an output unit 105 . These processing unit and data are connected to each other, data or signals are exchanged.
[0093]
　Hereinafter, differences from the first embodiment mainly includes a user action parameter setting unit 110 will be described user mobile prediction unit 111.
[0094]
　User behavior parameter setting unit 110 sets the warning lamp considering rate (R in FIG. 7 of the aforementioned 1 reference).
[0095]
　The user movement prediction unit 111, the user who performs the passenger behavior in consideration of the notice lamp predicts a movement by the upper and lower button type notice lamp considering landing prediction unit 122 performs passenger behavior without considering the notice lamp use for users to predict the movement by the upper and lower button type landing prediction unit 121.
[0096]
　Then, as the user motion estimation method will be described prediction process executed in the third embodiment.
[0097]
　Figure 10 is a flowchart showing a prediction process executed by the user movement prediction unit 111 up and down button type landing prediction unit 121 and the upper and lower button type notice lamp considering landing prediction unit 122 in (FIG. 3).
[0098]
　In S201, whether up or down button corresponding to the destination floor in the vertical direction of the user is not pressed is determined. That is, whether a hall call to the elevator operation prediction unit 104 is set is determined. If the up or down button has not been pressed (Yes in S201), the process proceeds to S202, (No in S201) if pressed, the process proceeds to S203.
[0099]
　In S202, it pushed up and down buttons that correspond to the vertical direction of the destination floor. After the S202 execution, the process proceeds to S203.
[0100]
　S203, similar to S103 in FIG. 9, a probabilistic branching. That is, after S202 executed, the process proceeds to user behavior parameter setting means S205 chance notice lamp consideration rate set by 110, the process proceeds to S204 with probability remaining probability or "1 notice lamp consideration rate".
[0101]
　In S204, the user, the Unit prior notice lights in the same direction as the direction of the destination floor is lit, confirm, and ride to the Unit e. That is, the Unit of notice lamp assigned by the system in accordance with the vertical direction of any hall call is lit, it is set by the elevator operation prediction unit 104, a user is set as to the Unit e ride. After S204 execution, the process proceeds to S206.
[0102]
　In S205, the user confirms the arrival of a Unit the same as the direction of the destination floor, and the Unit e ride the Unit that has arrived. Incidentally, the arrival of a Unit identical to the direction of the destination floor is set by the elevator operation prediction unit 104. After S205 execution, the process proceeds to S206.
[0103]
　In S206, the user, in front of the Unit e, Unit e is to wait until the arrival. In other words, the user, to move to the front of the ride to the Unit e, is expected to wait until at Unit arrival before riding to the Unit e. Incidentally, if the S206 after S205 executed is executed, may be waiting time is zero. After S206 execution, the process proceeds to S207.
[0104]
　In S207, riding to the Unit e arrives, the user is trying to ride to the Unit e ride. Here, the elevator operation prediction unit 104, the arrival data ride to Unit e is obtained. After the S207 execution, the process proceeds to S208.
[0105]
　In S208, based on the operational data of the ride to the Unit e is obtained from the elevator operation prediction unit 104, or not ride on Unit e to ride user is determined. If you can ride (Yes in S208), the user mobile prediction unit 111 ends the estimation process. Failure to take the ride to Unit e (No in S208), the prediction process again returns to S201 is executed.
[0106]
　Next, the movement prediction result of the user according to the third embodiment will be described with reference to FIGS. 18-21.
[0107]
　18, 19, 20 and 21 are examples of the prediction results of this Example 3, showing the elevator states and user in the elevator hall vertical button elevators are installed.
[0108]
　In the drawings, 4001, 4002 and 4003, respectively, Unit e 4 , Unit e 5 and Unit e 6 shows a. Further, 4011,4012,4021,4022,4031 and 4032, respectively, Unit e 4 on the direction of the notice lamp, Unit e 4 downward notice lamp, Unit e 5 upward notice lamp, Unit e 5 down notice lamp, Unit e of 6 notice lamp and Unit e on the direction of the 6 shows a downward notice lamp.
[0109]
　Moreover, in each figure, 4051 and 4052, respectively, indicating an upward hall button and the downward direction of the hall button. The upward hall button 4051 and down the hall button 4052, the landing call is registered for call registered Unit e 4 , Unit e 5 , Unit e 6 any one of the is assigned. Unit that call is assigned, hall call is dispatched to a floor that has been registered as a Unit towards the direction of the pressed button.
[0110]
　First described the state of FIG. 18.
[0111]
　Unit E 4, Unit E 5, Unit E 6 are both doors are closed. In addition, Hall button 4051 in the upward direction is pressed. User 4101, finished press the up direction of the hall button 4051 just, user 4102 is where you have just arrived at the elevator hall. Here, the destination floor of the user 4101 and 4102 are upward together.
[0112]
　Next, the state of FIG. 19, that is, from the state of FIG. 18, No. e 4 when notice lamp is lit will be described actions of the user in consideration of the notice lamp.
[0113]
　In the state of FIG. 19, No. e 4 notice lamp 4011 upward direction is lit. User 4101 and the user 4102, both, in accordance with the lighted notice lamp 4011, Unit E 4 as a Unit to ride the, Unit E 4 to move to the front of, Unit E 4 in front of, Unit E 4 arrives until the wait.
[0114]
　Next, the state shown in FIG. 20, that is, from the state of FIG. 18, the user without changing the behavior even notice lamp is lit, the Unit until the arrival, or for when the door is not to act until just before the opening described .
[0115]
　In the state of FIG. 20, similarly to FIG. 19, No. e 4 notice lamp 4011 on direction is on. On the other hand, the user 4101 and the user 4102, together, will not carry out action in accordance with the lighted notice lamp 4011. Therefore, the user of the state, i.e., the user's position is not changed from the state in FIG. 18.
[0116]
　Next, the state of FIG. 21, that is, from the state of FIG. 20, No. e 5 is arrived, No. e 5 will be described a case where the door is opening. User 4101 and the user 4102 this time, Unit E 5 in order to ride in, Unit E 5 to move to the front of, Unit E 5 to try to wait in front of.
[0117]
　In Figure 21, notice lamp is Unit e lights 4 different Unit e 5 is a case of arriving, even if the same Unit as Unit to notice lamp is lighted arrived, the user 4101 and the user 4102, lighting without performing the action in accordance with the notice lamp 4011 that remains in the position shown in FIG. 18, Unit E 4 from the arrival, Unit E 4 are expected to take action to try to ride to.
[0118]
　In this way, on whether or not to consider the lighting of the warning lamp, the prediction result of the movement behavior of the user to wait for the elevator is different. If a user at a position near the Unit to arrive can be expected it is getting on and off in a short period of time if the stand-by position and away from the Unit to arrive, the user in front of the different Units are waiting, getting on and off time there is likely to increase. Therefore, the prediction result of considering the lighting of the warning lamp, transport capacity and elevators, and waiting time or number of persons waiting can be accurately evaluated.
[0119]
　According to the third embodiment, by predicting the behavior of the user with a warning lamp considered constant, exactly when there are users to perform actions without considering different notice lamp and behavior expected in the elevator system it is possible to predict the movement of the user in. Therefore, using the prediction results of Example 3, or enables accurate lift plans and accurate lift design, or improved elevator transportation efficiencies group control.
Example 4
[0120]
　Figure 4 is a fourth embodiment of the present invention is a functional block diagram showing the configuration of the upper and lower buttons elevators of elevator users moving prediction apparatus.
[0121]
　Elevator user movement prediction unit 4, the user data 10, a layout data 20, the elevator specification data 30, a user generating unit 101, a user where the elevator operation prediction unit 104 may set the upper and lower buttons both set rate and behavior parameter setting means 110 constituted by a user mobile prediction unit 142, and the upper and lower button type landing prediction unit 121 and the upper and lower buttons both setting landing prediction unit 144 provided in the user mobile prediction unit 142, an output unit 105. These processing unit and data are connected to each other, data or signals are exchanged.
[0122]
　Hereinafter, differences from the first embodiment mainly includes a user action parameter setting unit 110 will be described user mobile prediction unit 142.
[0123]
　User behavior parameter setting unit 110 sets the upper and lower buttons both set rate (R in FIG. 7 of the aforementioned 2 reference).

claims

In elevator user movement prediction method for predicting a movement of the elevator user in the elevator hall,
　the behavior of the elevator user associated with the information input and output relating to elevator service, and elevator operating state, based on, of the elevator user estimates the motion,
　said actions of the elevator user, a behavior which has been previously assumed in the elevator operation, the elevator user movement prediction method characterized by including the unexpected behavior.
[Requested item 2]
　In elevator user mobile prediction method described in claim 1,
　elevator user movement prediction method, characterized in that the elevator user whether take action outside the assumption is determined according to a predetermined parameter.
[Requested item 3]
　In elevator user mobile prediction method described in claim 2,
　wherein the predetermined parameters, elevator user movement prediction method, characterized in that the elevator user is associated with the probability to take action outside the assumption.
[Requested item 4]
　In elevator user mobile prediction method described in claim 1,
　the ride Unit that is set in accordance with the elevator user behavior, the one elevator user could ride, is determined on the basis of the elevator operating state Elevator user mobile prediction method, characterized in that.
[Requested item 5]
　In elevator user mobile prediction method described in claim 2,
　wherein the action is assumed is that the ride No. machine No. assigned by the system according to the destination floor the elevator user inputs,
　wherein unexpected behavior, the elevator user is to select the ride No. machine based on the self-determination,
　the parameter is related to the probability that the elevator user is selected based on the boarding No. machine on the self-determination Elevator user mobile prediction method which is a self-determined rate to.
[Requested item 6]
　In elevator user mobile prediction method according to claim 5,
　wherein the boarding No. machine the elevator user is selected based on the self-determination,
　as stop floor information, the destination floor of the elevator user is displayed a Unit,
　and order of No. arriving from the time of the self-determination, and waiting persons, utility function whose variable is at least one of the travel time from the position of the user to the boarding position is No. maximized Elevator user mobile prediction method characterized in that it is selected.
[Requested item 7]
　In elevator user mobile prediction method described in claim 2,
　wherein the unexpected behavior, as boarding Nos machine No. assigned by the system according to the destination floor the elevator user inputs does not perform the destination floor input a tailgating act of riding on the riding Unit with companion,
　the parameters, the elevator user movement prediction method which is a tailgating ratio indicates the probability that the companions are.
[Requested item 8]
　In elevator user mobile prediction method described in claim 2,
　wherein the action is assumed, allocated in accordance with the hall call is to a boarding No. machine No. of notice lamp is lit,
　the unexpected behavior, check the unit arrival, is that the unit that has arrived to ride No. machine, the parameters, and characterized in that the elevator user is a warning lamp consideration rate associated with probability to take into account the notice lamp Elevator user mobile prediction method to.
[Requested item 9]
　In elevator user mobile prediction method described in claim 2,
　wherein the action is assumed, among the upper and lower buttons, and by pressing only destination floor direction buttons of the elevator user,
　the unexpected behavior, and by pressing both of the upper and lower buttons,
　elevators use said parameter, the lift user, characterized in that it is a vertical button both set rate associated with probability pressing the both of the upper and lower buttons movement prediction method's.
[Requested item 10]
　In elevator user mobile prediction method described in claim 2,
　wherein the action is assumed, it is to enter the destination floor without pressing wheelchairs button,
　the unexpected behavior, the destination floor with the entering, it is to push the wheelchair button,
　in that said parameter is, the elevator user, along with the inputs the destination floor, a wheelchair button combination rate associated with the probability to push the wheelchair button Elevator user mobile prediction method according to claim.
[Requested item 11]
　In elevator user mobile prediction method described in claim 2,
　wherein the action is assumed, among the upper and lower buttons and wheelchairs up or down button, and by pressing only up or down button,
　said unexpected behavior, the upper and lower is to press both buttons and upper and lower buttons for wheelchair,
　said parameters, the elevator user is a wheelchair button combination rate associated with probability pressing the both the upper and lower buttons the wheelchair up and down buttons Elevator user mobile prediction method according to claim.
[Requested item 12]
　In elevator user mobile prediction method described in claim 4,
　wherein the lift operating state is packed state,
　the riding Unit, the one elevator user could ride, elevator system side which is predicted based on the elevator specifications and packed state, the elevator user and user side packed state determines in accordance with the congestion, based on the determination elevator user mobile prediction method characterized by.
[Requested item 13]
　In elevator user movement prediction method for predicting a movement of the elevator user in the elevator hall,
　on the basis of the elevator user behavior corresponding to the elevator operating conditions, to estimate the motion of the elevator user,
　the elevator user or take a predetermined action, and the elevator operating conditions to be expected on the basis of elevator specifications, a determination of the elevator operating state by the elevator user, based on, the elevator user and judging moves prediction method.
[Requested item 14]
　In elevator user mobile prediction method described in claim 13,
　elevator user mobile prediction method the elevator operating state is characterized by a packed state.
[Requested item 15]
　In elevator user mobile prediction apparatus for predicting a movement of the elevator user in the elevator hall,
　the elevator operation prediction unit for predicting the elevator operation based on the elevator specifications, and the elevator operation to be predicted, the information input related to the elevator service wherein a behavior of the elevator user associated with the output, on the basis of the advance supposed to have behavioral and unexpected behavior in elevator operation, the user mobile prediction unit estimates the motion of the elevator user,
　the and user behavior parameter setting means for setting parameters related to the probability of unexpected behavior,
has,
　the user mobile prediction unit, whether the elevator user takes the unexpected behavior, set d, characterized in that the determination according to the parameter Elevators user mobile prediction apparatus.
[Requested item 16]
　In elevator user mobile prediction apparatus for predicting a movement of the elevator user in the elevator hall,
　the elevator operation prediction unit for predicting the elevator operation based on the elevator specifications, based on the elevator user behavior corresponding to the elevator operating conditions a user mobile prediction unit estimates the motion of the elevator user
　in the elevator operation prediction unit, and elevator operation parameter setting means for setting a first parameter related to criteria for determining elevator operating state,
　the elevator and user behavior parameter setting means for the user to set a second parameter associated with the reference determining said elevator operating state,
has,
　the user mobile prediction unit, the elevator user a predetermined action or take, it has been set Elevator user mobile prediction apparatus and judging in accordance with the first parameter and the second parameter.