CN110520374B - Elevator user movement prediction method and elevator user movement prediction device - Google Patents

Abstract

The invention accurately predicts the movement of a user when the user performs different actions from the actions assumed in an elevator system. The invention relates to an elevator user movement prediction method for predicting the movement of an elevator user in an elevator hall, based on the action of the elevator user and the elevator operation state (S102, e) along with the information input and output (S101) of the elevator operation_i) The movement of the elevator user is estimated (S105), and the actions of the elevator user include actions assumed in advance during the operation of the elevator and actions other than the assumed actions (S104).

Description

Elevator user movement prediction method and elevator user movement prediction device

Technical Field

The present invention relates to an elevator user movement prediction method and an elevator user movement prediction device for predicting movement behavior of an elevator user in an elevator hall or the like.

Background

An elevator system is provided in which a plurality of individual elevators (hereinafter referred to as "individual machines") are group-controlled for efficient transportation of elevator users (hereinafter referred to as "users") in elevators serving as main transportation means in a building. In a general up-down button type elevator system, when a moving direction is input from up-down buttons provided in an elevator hall, a single machine moving in the input moving direction is allocated to a boarding floor of a user. In this case, depending on the system, the operation of the up-down button is followed by the arrival of the stand-alone unit, and the operation of the warning light indicates which stand-alone unit of the plurality of stand-alone units will arrive. It is expected that the user will move to the front of the stand-alone with the warning light turned on and wait for the arrival of the stand-alone, thereby smoothly taking the elevator.

Further, in recent years, a destination floor reservation type elevator system in which a destination floor is input in an elevator hall is used. In a group control elevator system of a destination floor reservation type, a destination floor is inputted to a destination floor input terminal installed in an elevator hall for each user, and a single machine to be moved to the inputted destination floor is allocated. The individual units assigned to the user are displayed on a display device or the like of the destination layer input terminal, and the destination layer is displayed on a display provided for each individual unit. It is expected that the user waits for arrival and boarding before moving to the single machine shown on the terminal.

As described above, the action expected for the user is different depending on the elevator system. In addition, the user's actions are not limited to being consistent with the actions expected in the elevator system. For example, in a vertical push button type elevator system, there are users who press both vertical and vertical push buttons instead of pressing only a push button in the destination floor direction, or users who press a dedicated push button for wheelchair users in addition to the vertical and vertical push buttons. In addition, in the destination floor reservation type elevator, there are also users who decide a unit to be taken by an autonomous judgment, such as a unit with a small number of waiting persons or a unit to be sent first, by confirming a display provided in each unit, instead of confirming a unit indicated by a destination floor reservation terminal. Further, when a plurality of users go to the same destination floor, there is a so-called accompanying action in which only one user inputs the destination floor to the terminal and other users board the same stand-alone on which the user boards.

Since the elevator system performs operation control in accordance with the input of the user, there is a possibility that the performance cannot be sufficiently exhibited when the action of the user is different from the expected action.

As a conventional technique for dealing with this, for example, techniques described in patent document 1 and patent document 2 are known.

In the technique described in patent document 1, the movement of a person in the entire building is simulated in consideration of transfer of an elevator due to the layout of each floor in the building, a service floor at which the elevator is stopped, and the like.

In addition, in the technique described in patent document 2, the number of necessary terminals is calculated in accordance with a destination floor registration method (card reader method, numeric keypad method, password operation method) in a destination floor reservation type elevator system.

Documents of the prior art

Patent document

Patent document 1: japanese laid-open patent publication No. 2009-96612

Patent document 2: japanese patent laid-open publication No. 2016-190697

Disclosure of Invention

Technical problem to be solved by the invention

In the technique described in patent document 1, it is assumed that a user performs an appropriate input to the elevator system, and it is difficult to perform an accurate simulation in a situation where there are many actions other than the aforementioned actions. In addition, the influence of various notification modes (e.g., warning lights) of the elevator is not considered. In addition, the use behavior of the destination floor reservation elevator is not considered.

In the technique described in patent document 2, the time required for the operation is input in accordance with the destination floor registration method, but this is premised on that each user boards a single machine assigned by the elevator system. Therefore, in a situation where there are many actions other than the aforementioned, it is difficult to calculate the correct number of terminals.

Accordingly, the present invention provides an elevator user movement prediction method and an elevator user movement prediction device capable of accurately predicting the movement of a user when the user performs an action different from an action assumed in an elevator system.

Means for solving the problems

In order to solve the above problems, an elevator user movement prediction method of the present invention predicts movement of an elevator user in an elevator hall, and estimates movement of the elevator user based on an elevator user's action and an elevator running state accompanying information input and output regarding elevator running, and the elevator user's action includes an action assumed in advance during elevator running and an action other than the assumed action.

In order to solve the above problems, an elevator user movement prediction method according to the present invention predicts movement of an elevator user in an elevator hall, estimates movement of the elevator user based on an action of the elevator user according to an elevator operation state, and determines whether or not the elevator user takes a predetermined action based on the elevator operation state predicted based on an elevator specification and a determination of the elevator operation state by the elevator user.

In order to solve the above problem, an elevator user movement prediction device according to the present invention predicts movement of an elevator user in an elevator hall, the elevator user movement prediction device including: an elevator operation prediction unit which predicts an elevator operation based on an elevator specification; a user movement prediction unit that estimates movement of an elevator user based on the predicted elevator operation and movement of the elevator user associated with input and output of information related to the elevator operation, that is, movement assumed in advance during the elevator operation and movement other than the assumed movement; and a user action parameter setting means for setting a parameter associated with the probability of the unexpected action, wherein the user movement prediction unit determines whether or not the elevator user takes the unexpected action based on the set parameter.

In order to solve the above problem, an elevator user movement prediction device according to the present invention predicts movement of an elevator user in an elevator hall, the elevator user movement prediction device including: an elevator operation prediction unit which predicts an elevator operation based on an elevator specification; a user movement prediction unit that predicts a movement of an elevator user based on an action of the elevator user according to an elevator operation state; an elevator operation parameter setting means for setting a first parameter associated with a criterion for determining an elevator operation state in an elevator operation prediction unit; and a user action parameter setting means for setting a second parameter associated with a criterion for an elevator user to determine an elevator operation state, wherein the user movement prediction section determines whether or not the elevator user takes a predetermined action based on the set first parameter and second parameter.

Effects of the invention

According to the present invention, it is possible to accurately predict the movement of a user when there is a user who performs an action different from the action assumed in an elevator system.

Problems, structures, and effects other than those described above will be apparent from the following description of the embodiments.

Drawings

Fig. 1 is a functional block diagram showing the configuration of an elevator user movement prediction device according to embodiment 1.

Fig. 2 is a functional block diagram showing the configuration of an elevator user movement prediction device according to embodiment 2.

Fig. 3 is a functional block diagram showing the configuration of an elevator user movement prediction device according to embodiment 3.

Fig. 4 is a functional block diagram showing the configuration of an elevator user movement prediction device according to embodiment 4.

Fig. 5 is a functional block diagram showing the configuration of an elevator user movement prediction device according to embodiment 5.

Fig. 6 is a functional block diagram showing the configuration of an elevator user movement prediction device according to embodiment 6.

Fig. 7 is an input form set in software for setting various probabilities.

Fig. 8 is a report of the operation prediction result as an example of the output data.

Fig. 9 is a flowchart showing a prediction process executed by the destination-layer-reservation-type ascending/descending prediction unit and the destination-layer-reservation-type autonomous determination ascending/descending prediction unit in fig. 1.

Fig. 10 is a flowchart showing a prediction process executed by the up-down button type boarding/alighting prediction unit and the up-down button type consideration warning light boarding/alighting prediction unit in fig. 3.

Fig. 11 is a flowchart showing a part of the prediction processing executed by the destination floor reservation type boarding/alighting prediction unit and the destination floor reservation type wheelchair button in the user movement prediction unit (fig. 6) while using the boarding/alighting prediction unit.

Fig. 12 is a flowchart showing a part of the prediction processing executed by the up-down button type boarding/descent prediction unit and the up-down button type wheelchair button in the user movement prediction unit (fig. 6) while using the boarding/descent prediction unit.

Fig. 13 is a flowchart showing a part of the prediction processing executed by the up/down button type boarding/descent prediction unit and the up/down button simultaneous setting boarding/descent prediction unit in the user movement prediction unit (fig. 4).

Fig. 14 is a flowchart showing a part of the prediction processing performed by the destination layer reservation type boarding/alighting prediction unit and the accompanying boarding/alighting prediction unit in the user movement prediction unit (fig. 2).

Fig. 15 shows an example of the prediction result in example 1.

Fig. 16 shows an example of the prediction result in example 1.

Fig. 17 shows an example of the prediction result in example 1.

Fig. 18 is an example of the prediction result of embodiment 3.

Fig. 19 shows an example of the prediction result in embodiment 3.

Fig. 20 shows an example of the prediction result in embodiment 3.

Fig. 21 shows an example of the prediction result in embodiment 3.

Fig. 22 is a functional block diagram showing the configuration of an elevator user movement prediction device according to embodiment 7.

Fig. 23 is a flowchart showing boarding determination processing in embodiment 7.

Detailed Description

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the drawings, the same reference numerals denote the same constituent elements or constituent elements having similar functions.

Example 1

Fig. 1 is a functional block diagram showing a configuration of an elevator user movement prediction device of a destination-floor reservation elevator according to embodiment 1 of the present invention.

In embodiment 1, each function is provided by executing a predetermined program by an arithmetic processing device such as a microcomputer. Each data is stored in a storage device such as a semiconductor memory. The same applies to other embodiments described later.

The elevator user movement prediction device 1 includes user data 10, layout data 20, elevator specification data 30, a user generation unit 101, an elevator operation prediction unit 104, a user action parameter setting unit 110 capable of setting a target floor reservation type autonomous determination rate, a user movement prediction unit 113, a target floor reservation type boarding/alighting prediction unit 123 and a target floor reservation type autonomous determination boarding/alighting prediction unit 124 which the user movement prediction unit 113 has, and an output unit 105. These processing sections are connected to each other for exchanging data or signals.

The user data 10 has information on the number of users who arrive at the elevator hall and the destination floor of the users for each time zone.

The elevator specification data 30 has information on the boarding floor and the stopping floor (service floor) of each elevator. The elevator specification data 30 may further include specification information such as a rated speed, a door opening/closing speed, and a control method of group management.

The layout data 20 has information on the number of elevators and the number of destination floor reservation terminals. The layout data 20 may further include layout information such as the layout of the elevator hall, the installation position of the elevator, and the installation position of the destination floor reservation terminal.

The user generation unit 101 generates a user (data) generated in the elevator hall at each time based on the user data 10.

The user action parameter setting means 110 sets the autonomous determination rate as a parameter relating to the user's action pattern, as a ratio of occurrence of a user who autonomously determines an action, not in accordance with the individual information indicated by the elevator system in accordance with the input to the destination floor reservation terminal, among users (users who have performed the input operation to the destination floor reservation terminal in the present embodiment). In addition, the occurrence ratio of users who act as expected in the elevator system, that is, users who act according to the individual information indicated by the elevator system in response to the input to the destination floor reservation terminal is "1-autonomous determination rate". The autonomic determination rate may be indicated by "%".

The user movement prediction unit 113 predicts the movement of the user who gets on the elevator and the movement of the user after the elevator is taken off the elevator based on the user data 10 and the layout data 20. In the present embodiment, the movement of the user is predicted by the destination floor reservation type boarding/alighting prediction unit 123 when it is determined that the user is acting in accordance with the instructions and guidance of the elevator system, and the movement of the user is predicted by the destination floor reservation type autonomous determination boarding/alighting prediction unit 124 when it is determined that the user is acting in accordance with the autonomous determination of the user, based on the autonomous determination rate set by the user action parameter setting unit 110.

The actions of the user are generated in association with the input and output of information on the operation of the elevator in the elevator hall, and the actions and responses of the elevator system, such as the assignment and guidance display of the single machine corresponding to the input operation, with respect to the input operation to the elevator system performed by the user are determined by the user movement prediction unit 113, and are determined by the elevator operation prediction unit 104 described below.

The elevator operation prediction unit 104 predicts the operation state of the elevator at each time based on the elevator operation behavior of the user predicted by the user movement prediction unit 113 and the elevator specification data 30.

The output unit 105 outputs the prediction results of the elevator operation prediction unit 104 and the user movement prediction unit 113.

The data outputted from the elevator operation prediction unit 104 is, for example, the time interval (operation interval) at which the elevator starts at any floor, the number of people (transportation capacity) of the user transported by the elevator in any period, the time interval (one-week operation time) at which 1 elevator starts from any floor, and the waiting time of the user at any floor. These data may be represented by means of an average, minimum, maximum, median, and the like.

The data output from the user movement prediction unit 113 is, for example, the number of waiting persons in the entire elevator hall at any floor at each time, the number of waiting persons for each individual elevator, the waiting time until the elevator is taken in any floor, and the time taken for moving between any floors. These data may be represented by means of an average, minimum, maximum, median, and the like.

The output unit 105 may animate the prediction result with a computer graphic using the position and the number of passengers of each individual predicted by the elevator operation prediction unit 104, the number of lines of the user for each individual elevator in the elevator hall predicted by the user movement prediction unit 113, and the number of lines of the destination floor reservation terminal.

Fig. 7 shows an input form provided in software for setting various probabilities in the user behavior parameter setting unit 110.

As shown in FIG. 7, probability 1001-1007 of occurrence of a user action different from an action expected in an elevator system can be input from an input form 1000. Wherein, the occurrence probability 1004 (R)₄%) is the autonomic determination rate set in example 1. The other occurrence probabilities 1001 to 1003 and 1005 to 1007 are the occurrence probabilities set in the other embodiments, and will be described later.

In addition, the user behavior parameter setting unit 110 may read a value recorded in a database or the like without using an input form to set the occurrence probability (the autonomous determination rate in the present embodiment).

Fig. 8 shows a report of the operation prediction result as an example of the output data of the output unit 105.

As shown in fig. 8, a report 2000 shows the floor and the number of stopped floors, specification information 2001 of an elevator to which a person is fixed as a study target, information 20002 of a target time zone and a user is output, and an average waiting time and a maximum number of waiting persons from arrival at an elevator hall until boarding an elevator are output as a prediction result 2003.

As shown in fig. 8, the value of the occurrence probability set by the user action parameter setting means 110 (in example 1, "autonomous determination rate R") may be output together₄Percent ": see fig. 7)2004, 2005.

Next, the prediction processing executed in embodiment 1 will be described as a user movement prediction method.

In example 1, when the movement of a person in a building floor is simulated in consideration of elevator operation, as described below, an action different from the action of a user assumed in an elevator system is considered (the same applies to other examples). As a technique for simulating the movement of a person in a building floor in consideration of elevator operation, a known technique is applied (for example, refer to patent document 1). As a technique for simulating human movement, a known technique such as cellular automata is applied.

Here, the movement of a person differs depending on the surrounding state, for example, the destination of the person, the presence or absence of another person, or an obstacle, and in the known technology, the movement of a person in a predetermined space is predicted by setting in advance where (for example, in what direction) the person moves from a certain time to the next time according to the surrounding situation at the certain time. As described below, in each of the embodiments, when predicting the movement of a user, which is a person on an elevator floor, in order to set the movement of the user, the elevator operation state is used as a surrounding state, and the user's actions are used along with the input operation of the elevator system by the user such as call registration and the output from the elevator system such as a guidance display for a single machine assigned to a call.

Fig. 9 is a flowchart showing a prediction process (mainly a determination process of the user's action: the same as in the other embodiments) performed by the target-level reservation-type boarding/alighting prediction unit 123 and the target-level reservation-type autonomous determination boarding/alighting prediction unit 124 in the user movement prediction unit 113 (fig. 1). In fig. 9, the processing steps are abbreviated as "S" (the same applies to flowcharts of fig. 10 to 14 described later). In fig. 9, in the transition at the branch of the determination process, the transition when the determination is YES is indicated by a solid arrow, and the transition when the determination is NO is indicated by a broken arrow (the same applies to the flowcharts of fig. 10 to 14 described later).

In the following description, unless otherwise specified, the user and the elevator are the user and the elevator in software (data, program) (the same applies to flowcharts of fig. 10 to 14 described later).

First, in S101, a user arriving at an elevator hall operates a destination floor reservation terminal and inputs a destination floor. Here, the user movement prediction unit 113 sets the user (including the data of the destination layer) generated by the user generation unit 101. After S101 is executed, the process proceeds to S102.

In S102, the user obtains a single computer e moving to the user' S destination layer from the destination layer reservation terminal_iInformation of (2), single unit e_iAs a single machine e to be picked up. That is, the individual e allocated by the system to the user' S destination floor set in S101 is acquired from the elevator operation prediction unit 104_iObtained stand-alone machine e_iIs set as the stand-alone e to be taken. After S102 is executed, the process proceeds to S103.

In S103, the process flow from S102 branches to probabilistically select the next process step (transition destination) in S102 based on the autonomic determination rate set by the user action parameter setting unit 110. That is, after execution of S102, the process proceeds to S104 with a probability of the autonomic determination rate, and proceeds to S105 with a probability of "1 — autonomic determination rate" as the remaining probability.

In embodiment 1, pseudo random numbers are used for probabilistic branching such as S103. After execution of S102, a pseudo random number r ranging from 0 to 1 is generated. Then, when the generated r is a value smaller than the self-determination rate, the process proceeds to S104, and when r is equal to or larger than the self-determination rate, the process proceeds to S105. Here, the pseudo random number is generated by a known pseudo random number generation method such as mersene twister (merson rotation) algorithm.

The same applies to the probabilistic branch as described above, namely S108 in fig. 9 and the probabilistic branches in the flowcharts of fig. 10 to 14 described later.

In S104, the selected unit e is taken according to the user' S own judgment_iSelected single machine e_jAs a single machine e to be picked up. That is, the single machine acquired in S102 (e)_i) Is changed to the stand-alone selected in S104 (e)_i)。

The user obtains from the elevator operation prediction unit 104 the destination floor of the user included in the stop floor displayed on the display corresponding to the elevator individual based on the elevator individual which the user has autonomously determined to be riding. Further, for the elevator individual which the user autonomously judges to take, so-called utility function (function which numerically expresses utility and value of articles, information, and the like) is used for selection.

In embodiment 1, the utility function is defined by variables including at least one of the order k of arrival of the elevator machine from the time of the autonomous determination, the number of waiting persons n, and the moving time t from the position of the user to the boarding position of the elevator machine. Then, the elevator stand with the maximum value of the defined utility function is selected. For example, the utility function U is defined as U (k, n, t) ═ α k- β n- γ t (α, β, γ are arbitrary coefficients). Here, when α is 0, β is 1, and γ is 0, u (n) is — n, and the stand-by number n of the stand-by number n is the smallest unit because the utility function is the largest, and therefore, the stand-by number n is selected by the autonomous determination.

After S104 is executed, the process proceeds to S105. In addition, as described above, after S102 is executed, the process proceeds to S105 with a probability of (1 — autonomous determination rate).

In S105, the user is estimated to wait until the arrival before the single machine e to be taken. That is, it is estimated that the user moves to the front of the boarding pass toward the boarding pass e, and waits until the boarding pass arrives before the boarding pass e. After S105 is executed, the process proceeds to S106.

In S106, the pickup unit e arrives, and the user picks up the pickup unit e. Here, arrival data of the unit e to be taken is acquired from the elevator operation prediction unit 104. After execution of S106, the process proceeds to S107.

In S107, it is determined whether or not the user successfully boards the machine e to be boarded based on the operation data of the machine e to be boarded, which is acquired from the elevator operation prediction unit 104. If the boarding is successful (yes in S107), the user movement prediction unit 113 ends the prediction processing. If the boarding of the unit e to be boarded is not successful (no in S107), for example, if the number of boarding persons exceeds the number of boarding persons or if the doors of the elevator are closed before boarding, the process proceeds to S108.

In S108, the flow of processing after execution of S107 is probabilistically branched as in S103. If it is determined in S107 that the user has not successfully picked up the unit to be picked up (no in S107), the process proceeds to S104 with a probability of the self-determination rate, and proceeds to S101 with a probability of "1-self-determination rate" as the remaining probability. That is, it is predicted that the user performs the action based on the autonomous determination again with a probability of the autonomous determination rate, and returns to the terminal with a probability of "1 — autonomous determination rate" to perform the action again. In this embodiment 1, in S103 and S108, the same value of the autonomic determination rate set by the user action parameter setting unit 110 is used.

In S103 and S108, autonomous determination rates having different values may be used. In this case, the autonomic determination rates in the first action and the second action may be set by the user action parameter setting means 110, or the autonomic determination rate set by the user action parameter setting means 110 may be changed according to a predetermined rule.

In the prediction processing shown in fig. 9, S104 is processing for predicting that a unit to be picked up is selected according to the autonomous determination of the user. Accordingly, S104 is executed by the destination layer reservation type autonomous determination ascending/descending prediction unit 124. In addition, S102 is a process of predicting a stand-alone to be taken in accordance with guidance and instruction of the elevator system. Accordingly, S102 is executed by the destination layer reservation type ascending/descending prediction unit 123.

Next, the result of the movement prediction of the user in embodiment 1 will be described with reference to fig. 15 to 17.

Fig. 15, 16, and 17 are examples of the prediction results of embodiment 1, and show the states of the user and the elevator in the elevator hall in which the destination-floor-reservation-type elevator is installed. In the drawings, 3020 denotes a destination layer reservation type terminal, and 3000, 3001, and 3002 denote units e₁Stand-alone unit e₂And a single machine e₃。

First, the state of fig. 15 will be described.

With a single machine e₁The corresponding display 3010 is shown at f₂Landing ladder and single machine e₂The corresponding display 3011 is shown at f₅Landing ladder and single machine e₃The corresponding display 3012 is shown at f₂、f₃And (5) stopping the ladder layer by layer. Further, the user 3101 finishes the operation of the destination layer reservation terminal, and the destination layer f of the user 3101 is subjected to₂Indicate taking a single machine e₃(3111). User 3100 is in operation of the terminal, with respect to destination floor f₂Indicate taking a single machine e₁(3112). User 3102 has moved to stand-alone e₂The former waits for arrival, and the users 3103, 3104, 3105 and 3106 have moved to the stand-alone e₃And waits for arrival.

Next, the state of fig. 16, that is, the state in the case where all users follow instructions or guidance from the elevator system from the state of fig. 15 will be described.

The state of the elevator is the same as that of fig. 15. Users 3101 and 3100 move user 3101 to individual e according to the indication or guide action of destination-level individual₃Front waiting arrives, user 3100 has moved to stand-alone e₁And waits for arrival.

Next, the state of fig. 17, that is, the state in the case where a part of the users (3101) judge movement by their own authorities, not according to instructions or guidance from the elevator system, from the state of fig. 15, will be described.

The state of the elevator is the same as that of fig. 15. Can confirm from the display 3010 that the stand-alone machine e instructed from the elevator system₃Outside and single machine e₁Can also be directed to the destination layer f of the user 3101₂And (4) moving. Further, a single machine e₃Unlike the case where the number of persons waiting for boarding is 4, the single machine e₁The number of waiting persons in (1) is 0 at the time point of fig. 15, and the number of waiting persons is smaller. Therefore, the user 3101 takes a separate unit e from the instruction from the elevator system₁And (4) judging.

In the prediction result, the expected pickup unit e₃Passenger boarding unit e₁Whereby a single machine e₃Starting with one or less persons, one machine e₁The elevator system starts with one more person than the number of persons assumed by the elevator system. Alternatively, the presence of the elevator system indicating the boarding pass e₁But the possibility of a user not riding. Thus, it is possible to predict the cause systemThe difference between the assumed use state of the elevator and the actual use state of the elevator causes a reduction in the operation efficiency of the entire elevator system or a failure to give accurate instructions and guidance to the user.

According to embodiment 1, by determining the behavior of the user based on the probability that the user autonomously determines the behavior without depending on the single machine instructed by the elevator system, it is possible to accurately predict the movement of the user when there is a user who performs a different behavior from the behavior expected in the elevator system. This improves the accuracy of the prediction of the operation of the elevator, and enables accurate evaluation of the transportation capacity, the waiting time, the number of waiting persons, and the like of the elevator. Thus, by using the prediction results of embodiment 1, it is possible to perform reliable elevator planning and reliable elevator design in accordance with the elevator demand in the building. In addition, by using the prediction result of embodiment 1 in the group management control of the elevator, the efficiency of transporting people in the building is improved.

Example 2

Fig. 2 is a functional block diagram showing a configuration of an elevator user movement prediction device of a destination-floor reservation elevator according to embodiment 2 of the present invention.

The elevator user movement prediction device 2 includes user data 10, layout data 20, elevator specification data 30, a user generation unit 90, an elevator operation prediction unit 104, a user action parameter setting unit 110 capable of setting a target floor reservation-type autonomous determination rate, a user movement prediction unit 152, a target floor reservation-type boarding/alighting prediction unit 123 and an accompanying boarding/alighting prediction unit 154 included in the user movement prediction unit 152, and an output unit 105. These processing sections are connected to each other for exchanging data or signals.

The following description is directed to differences from embodiment 1, mainly to user behavior parameter setting section 110, user generation section 90, and user movement prediction section 152.

The user behavior parameter setting unit 110 sets the accompanying rate and the average accompanying number (refer to fig. 7 described above).

The user generation unit 90 generates the time of each time based on the user data 10Users (data) occurring in the elevator lobby. Here, when generating a user, in embodiment 2, the user behavior parameter is set based on the accompanying rate R set by the user behavior parameter setting unit 110₅And the average accompanying number n, in which users whose destination layers are the same and whose appearance timings are close to each other are set as parallels in advance.

The number of the fellow pedestrians is set according to the poisson distribution in which the average value (expected value) and the variance are both set as the average accompanying number n. Further, the occurrence time and the destination layer of each user may be used as user data, and the conditions for accompanying occurrence may be set in detail by giving the user information of the fellow passenger manually or automatically.

The user movement prediction unit 152 predicts movement of a user who performs accompanying action by the accompanying travel/descent prediction unit 154, and predicts movement of a user who does not perform accompanying action by the destination-layer reservation-type travel/descent prediction unit 123.

Next, the prediction processing executed in embodiment 2 will be described as a user movement prediction method.

Fig. 14 is a flowchart showing a part of the prediction processing performed by the destination floor reservation type boarding/alighting prediction unit 123 and the accompanying boarding/alighting prediction unit 154 in the user movement prediction unit 152 (fig. 2).

In the flowchart of fig. 9 showing the prediction processing of embodiment 1, S101 and S102, that is, the processing for inputting a destination layer to the destination layer registration device and acquiring a single device to move to the input destination layer, are replaced with the flowchart of fig. 14.

The flowchart of fig. 14 will be explained below.

In S601, it is determined whether or not a co-operator is present, and if a co-operator is present (yes in S601), the process proceeds to S602, and if no co-operator is present (no in S601), the process proceeds to S603. Here, S601 is a probabilistic branch as in S103 of fig. 9. That is, it is assumed that the user generated by the user generation unit 90 has a probability of having a coincidence rate set by the user behavior parameter setting unit 110, and has no co-existence with a probability of "1-coincidence" which is the remaining probability.

In S602, it is determined whether or not the user is notified of the boarding of the elevator e by the fellow passenger. When the user operates the destination-layer reservation terminal before the user and is notified of the individual e to be picked up (yes at S602), the user moves to the individual e to be picked up without operating the destination-layer reservation terminal. That is, when the user generation unit 90 generates a fellow passenger temporally before the user and the elevator operation prediction unit acquires the individual data to be moved to the destination floor of the fellow passenger, it is considered that the user has been notified of boarding of the elevator e by the fellow passenger, and the series of processing shown in fig. 14 is terminated, and subsequently, S103 in fig. 9 is executed. If the fellow passenger does not operate the destination layer reservation terminal and the user is not notified of the stand-by e to be taken by the fellow passenger (no in S602), that is, if the user generation unit 90 generates the fellow passenger temporally after the user, the process proceeds to S603.

In S603, the destination layer is input to the destination layer reservation terminal. That is, the user movement prediction unit 152 sets the user destination layer that is generated by the user generation unit 90 temporally before the fellow passenger. After S603 is executed, the process proceeds to S604.

In S604, the user obtains a single computer e moving to the user' S destination layer from the destination layer reservation terminal_iInformation of (2), single unit e_iAs a single machine e to be picked up. That is, the individual e allocated by the system to the user' S destination floor set in S603 is acquired from the elevator operation prediction unit 104_iObtained stand-alone machine e_iIs set as the stand-alone e to be taken. After execution of S604, the process proceeds to S605.

In S605, the presence or absence of a person who is a parallel person is determined. If a co-operator is present (yes in S605), the process proceeds to S606, and if no co-operator is present (no in S605), the series of processing shown in fig. 14 is ended, and the process proceeds to S103 in fig. 9.

In S606, the user notifies the fellow passenger of the stand e to be taken. That is, the unit e to be picked up is set for the fellow passenger. After S606 is executed, the series of processing shown in fig. 14 is ended, and the process proceeds to S103 in fig. 9.

According to embodiment 2, by predicting the behavior of the user using the accompanying rate, it is possible to accurately predict the movement of the user when there is a user performing an accompanying behavior different from the behavior expected in the elevator system. Therefore, reliable elevator planning, reliable elevator design, and improved transportation efficiency of elevators controlled by group management can be achieved using the prediction results of embodiment 2.

In addition, in embodiment 2, since S101 and S102 in the flowchart of fig. 9 are changed, the above-described autonomous determination rate is considered in addition to the accompanying rate. When only the accompanying rate is considered from among the accompanying rate and the autonomous determination rate, the autonomous determination rate may be set to 0.

Example 3

Fig. 3 is a functional block diagram showing the configuration of an elevator user movement prediction device of a vertical push button elevator according to embodiment 3 of the present invention.

The elevator user movement prediction device 3 includes user data 10, layout data 20, elevator specification data 30, a user generation unit 101, an elevator operation prediction unit 104, a user behavior parameter setting unit 110 capable of setting a warning light consideration rate, a user movement prediction unit 111, a top-bottom button type boarding/alighting prediction unit 121 and a top-bottom button type warning light boarding/alighting prediction unit 122 provided in the user movement prediction unit 111, and an output unit 105. These processing sections are connected to each other for exchanging data or signals.

The following description is directed mainly to user behavior parameter setting section 110 and user movement prediction section 111, which are different from embodiment 1.

The user behavior parameter setting unit 110 sets the advance notice lamp consideration rate (refer to R in fig. 7 described above)₁)。

The user movement prediction unit 111 predicts the movement of a user who performs an ascending/descending action in consideration of a notice lamp by the up/down button type ascending/descending prediction unit 122, and predicts the movement of a user who performs an ascending/descending action in consideration of a notice lamp by the up/down button type ascending/descending prediction unit 121.

Next, the prediction processing executed in embodiment 3 will be described as a user movement prediction method.

Fig. 10 is a flowchart showing a prediction process performed by the up-down button type boarding/alighting prediction unit 121 and the up-down button type consideration pilot lamp boarding/alighting prediction unit 122 in the user movement prediction unit 111 (fig. 3).

In S201, it is determined whether the up-down button corresponding to the up-down direction of the user' S destination layer is not pressed. That is, it is determined whether or not a hall call is set in the elevator operation prediction unit 104. If the up-down button is not pressed (yes in S201), the process proceeds to S202, and if it is pressed (no in S201), the process proceeds to S203.

In S202, the up-down button corresponding to the up-down direction of the destination layer is pressed. After executing S202, the process proceeds to S203.

S203 is a probabilistic branch as in S103 of fig. 9. That is, after S202 is executed, the process proceeds to S205 with the probability of the notice lamp consideration rate set by the user action parameter setting unit 110, and proceeds to S204 with the probability of "1-notice lamp consideration rate" which is the remaining probability.

In S204, the user confirms the unit on which the warning light in the same direction as the destination floor is turned on, and sets it as the unit e to be picked up. That is, the elevator operation prediction unit 104 sets a unit that is allocated by the system and that has the advance warning lamp turned on in accordance with a hall call in either the up-down direction, and sets this as the unit e on which the user is to board. After executing S204, the process proceeds to S206.

In S205, the user confirms the arrival of the same ticket as the destination floor direction, and sets the arriving ticket as the ticket e to be taken. The arrival of a single machine in the same direction as the destination floor is set by the elevator operation prediction unit 104. After S205 is executed, the process proceeds to S206.

In S206, the user is caused to wait before the stand-alone e until the stand-alone e arrives. That is, it is predicted that the user moves to the stand-by e and waits until the stand-by arrives before the stand-by e. Note that, when S205 is executed and then S206 is executed, the standby time may be set to 0. After S206 is executed, the process proceeds to S207.

In S207, the pickup unit e arrives, and the user picks up the pickup unit e. Here, arrival data of the unit e to be taken is acquired from the elevator operation prediction unit 104. After S207 is executed, the process proceeds to S208.

In S208, it is determined whether or not the user successfully boards the machine e to be boarded based on the operation data of the machine e to be boarded, which is acquired from the elevator operation prediction unit 104. If the boarding is successful (yes in S208), the user movement prediction unit 111 ends the prediction processing. If the pickup of the unit e to be picked up is not successful (no in S208), the process returns to S201 to execute the prediction process again.

Next, the result of the movement prediction of the user in embodiment 3 will be described with reference to fig. 18 to 21.

Fig. 18, 19, 20, and 21 are examples of the prediction results of embodiment 3, and show the states of the user and the elevator in the elevator hall in which the up-down button elevator is installed.

In each figure, 4001, 4002 and 4003 represent stand-alone units e₄Stand-alone unit e₅And a single machine e₆. Each of 4011, 4012, 4021, 4022, 4031, and 4032 represents a single machine e₄Up direction warning light, single unit e₄Down direction warning light, single unit e₅Up direction warning light, single unit e₅Down direction warning light, single unit e₆Up direction warning light and single unit e₆A down direction pilot lamp.

In the drawings, 4051 and 4052 denote up-direction hall buttons and down-direction hall buttons, respectively. Hall calls are registered with up-direction hall buttons 4051 and down-direction hall buttons 4052, and a single machine e is assigned to the registered calls₄Stand-alone unit e₅Stand-alone unit e₆1 station of (3). The individual to which the call is assigned to the floor on which the hall call is registered as an individual to the direction of the pressed button.

First, the state of fig. 18 will be described.

Single machine e₄Stand-alone unit e₅Stand-alone unit e₆The doors of (1) are all closed. In addition, the hall button 4051 in the up direction is pressed. User 4101 just ends up pressing hall button 4051 in the up direction, and user 4102 just arrives at the elevatorA hall. Here, the destination layers of the users 4101 and 4102 are both upward.

Next, for the state of FIG. 19, i.e., from the state of FIG. 18, stand-alone device e₄When the warning light of (2) is turned on, the explanation will be given in consideration of the action of the user of the warning light.

In the state of FIG. 19, the stand-alone unit e₄The up direction pilot lamp 4011 is lighted. The user 4101 and the user 4102 both have the single unit e according to the lighted warning light 4011₄As a stand-alone unit to be taken, move to stand-alone unit e₄In front of, at, e₄Front standby until single unit e₄And (4) arriving.

Next, the state of fig. 20, that is, the case where the user does not change the action even if the warning light is turned on from the state of fig. 18, and does not act until the stand-alone unit arrives or the door is opened, will be described.

In the state of FIG. 20, the stand-alone e is similar to that of FIG. 19₄The up direction pilot lamp 4011 is lighted. In contrast, neither the user 4101 nor the user 4102 performs an action in accordance with the lighted warning lamp 4011. Therefore, the state of the user, that is, the position of the user does not change from the state of fig. 18.

Next, for the state of FIG. 21, i.e., from the state of FIG. 20, stand-alone device e₅Arrival, stand-alone e₅The case of opening the door of (1) will be explained. In this case, the user 4101 and the user 4102 are riding the single machine e₅Move to the single machine e₅In front of, at, e₅And waiting.

In FIG. 21, the stand-alone e is turned on together with a pilot lamp₄Different single machines e₅Even if a single unit arrives as a single unit with the advance notice lamp turned on, it is predicted that the user 4101 and the user 4102 stay at the position of fig. 18 without performing the action according to the turned-on advance notice lamp 4011, and the single unit e is present₄After arrival, adopting the single machine e to take₄The action of (2).

In this way, the result of prediction of the movement behavior of the user waiting for the elevator differs depending on whether or not the lighting of the warning light is considered. The user can expect to take the elevator in a short time if he/she waits at a position close to the arriving stand-alone, but the elevator may have a long time when he/she is far from the arriving stand-alone or waits before a different stand-alone. Therefore, the conveyance capacity, the waiting time, the number of waiting persons, and the like of the elevator can be accurately evaluated by considering the result of prediction of the lighting of the warning light.

According to embodiment 3, by predicting the behavior of the user using the notice lamp consideration rate, it is possible to accurately predict the movement of the user in the case where there is a user who performs a behavior without considering the notice lamp, which is different from the behavior expected in the elevator system. Therefore, reliable elevator planning, reliable elevator design, and improved transportation efficiency of elevators controlled by group management can be achieved using the prediction results of embodiment 3.

Example 4

Fig. 4 is a functional block diagram showing a configuration of an elevator user movement prediction device of a vertical push button elevator according to embodiment 4 of the present invention.

The elevator user movement prediction device 4 includes user data 10, layout data 20, elevator specification data 30, a user generation unit 101, an elevator operation prediction unit 104, a user behavior parameter setting unit 110 capable of setting both the up-down button setting rates, a user movement prediction unit 142, an up-down button type boarding/landing prediction unit 121 and an up-down button simultaneous setting boarding/landing prediction unit 144 which the user movement prediction unit 142 has, and an output unit 105. These processing sections are connected to each other for exchanging data or signals.

The following description is directed mainly to user behavior parameter setting section 110 and user movement prediction section 142, which are different from embodiment 1.

The user action parameter setting unit 110 sets both the up-down button setting rates (refer to R in FIG. 7 described above)₂)。

The user movement prediction unit 142 predicts the movement of the user by using the up-down button simultaneous setting up/down prediction unit 144 for a user who presses both the up and down buttons, not only the button in the destination layer direction, but also the up-down button type ascending/descending prediction unit 121 for a user who presses only the button in the destination layer direction.

Next, the prediction processing executed in embodiment 4 will be described as a user movement prediction method.

Fig. 13 is a flowchart showing a part of the prediction processing executed by the up/down button type boarding/descent prediction unit 121 and the up/down button simultaneous setting boarding/descent prediction unit 144 in the user movement prediction unit 142 (fig. 4).

In the flowchart of fig. 10 showing the prediction processing of embodiment 3, S202, i.e., the processing concerning the operation of the up/down button, is replaced with the flowchart of fig. 13.

The flowchart of fig. 13 will be explained below.

S501 is a probabilistic branch as in S103 of fig. 9. That is, after S201 in fig. 10 is executed, the probability of setting the rate by both the up-down buttons set by the user action parameter setting means 110 proceeds to S503, and the probability of "1 — both the up-down buttons set rate" as the remaining probability proceeds to S502.

In S502, only the user' S button in the destination layer direction is pressed among the up-down buttons provided in the entrance hall. After S502 is executed, the series of processing in fig. 13 is ended, and the process proceeds to S203 in fig. 10.

In S503, both the up-down button and the down button are pressed regardless of the direction of the destination layer. After S503 is executed, the series of processing in fig. 13 is ended, and the process proceeds to S203 in fig. 10.

According to embodiment 4, by predicting the behavior of the user using both the up-down button setting rates, it is possible to accurately predict the movement of the user when there is a user who performs a behavior of pressing both the up-down button and the down button which is different from the behavior expected in the elevator system. Therefore, reliable elevator planning, reliable elevator design, and improved transportation efficiency of elevators controlled by group management can be achieved using the prediction results of embodiment 3.

In addition, in embodiment 4, since S202 of the flowchart of fig. 10 is changed, the above-described advance notice lamp consideration rate is considered in addition to the rate set by both the up and down buttons. In the case where only the both up-down button setting rate is considered out of the both up-down button setting rate and the forenotice light consideration rate, the forenotice light consideration rate may be set to 0.

Example 5

Fig. 5 is a functional block diagram showing a configuration of an elevator user movement prediction device applicable to both a top/bottom button elevator and a destination-floor reservation elevator according to embodiment 5 of the present invention.

The elevator user movement prediction device 5 includes user data 10, layout data 20, elevator specification data 30, a user generation unit 101, an elevator operation prediction unit 104, a user behavior parameter setting unit 110, a user movement prediction unit 114, a top-bottom button type boarding/descent prediction unit 121 provided in the user movement prediction unit 114, a top-bottom button type consideration warning lamp boarding/descent prediction unit 122, a destination floor reservation type boarding/descent prediction unit 123, a destination floor reservation type autonomous determination boarding/descent prediction unit 124, and an output unit 105. These processing sections are connected to each other for exchanging data or signals.

The data and the processing units are the same as those described in examples 1 to 4. The simultaneous setting of the ascending/descending prediction unit 144 along with the ascending/descending prediction unit 154 and the up/down buttons described in embodiments 1 to 4 may be added.

In embodiment 5, the user movement prediction unit 114 uses the up-down button type boarding/descent prediction unit 121 or the up-down button type consideration warning light boarding/descent prediction unit when the up-down button is provided in the elevator hall as the prediction target, and uses the destination floor reservation type boarding/descent prediction unit 123 or the destination floor reservation type autonomous determination boarding/descent prediction unit 124 when the destination floor reservation terminal is provided in the elevator hall as the prediction target, in order to predict the movement of the user. That is, the user movement prediction unit 114 appropriately selects a prediction unit for the up-down button type (a set of the up-down button type boarding/alighting prediction unit 121 and the up-down button type consideration warning light boarding/alighting prediction unit 122) and a prediction unit for the target floor reservation type (a set of the target floor reservation type boarding/alighting prediction unit 123 and the target floor reservation type autonomous determination boarding/alighting prediction unit 124) according to the prediction target.

According to embodiment 5, the transport capacity, waiting time, the number of waiting persons, and the like of the elevator can be accurately evaluated in accordance with both the elevator hall in which the up-down button is provided in the elevator hall of each floor and the elevator hall in which the destination floor reservation terminal is provided.

Example 6

Fig. 6 is a functional block diagram showing a configuration of an elevator user movement prediction device that can be applied to both an up-down push-button elevator and a destination floor reservation elevator and takes into consideration the operation of a wheelchair button as embodiment 6 of the present invention.

The elevator user movement prediction device 6 includes user data 10, layout data 20, elevator specification data 30, a user generation unit 101, an elevator operation prediction unit 104, a user behavior parameter setting unit 110 capable of setting a wheelchair button simultaneous use rate, a user movement prediction unit 132, a up-down button type boarding/alighting prediction unit 121 provided in the user movement prediction unit 132, a up-down button type wheelchair button simultaneous use boarding/alighting prediction unit 133, a destination floor reservation type boarding/alighting prediction unit 123, a destination floor reservation type wheelchair button simultaneous use boarding/alighting prediction unit 134, and an output unit 105. These processing sections are connected to each other for exchanging data or signals.

The following description is directed mainly to user behavior parameter setting section 110 and user movement prediction section 132, which are different from embodiment 1.

The user behavior parameter setting unit 110 sets the wheelchair button simultaneous usage rate in the up-down button elevator (refer to R in fig. 7 described above)₃) Simultaneous usage rate with wheelchair button in destination floor reservation elevator (refer to R in fig. 7 described above)₆). These probabilities are individually set as shown in fig. 7 described above. In addition, the simultaneous usage rate of one wheelchair button may not be set separately in the up-down button type and the destination floor reservation type.

In the up-down button type elevator, the user movement prediction unit 132 predicts the movement of the user by using the up-down button type wheelchair button and the boarding/alighting prediction unit 133 for the user who uses not only the normal up-down button but also the up-down button for the wheelchair user, and predicts the movement of the user by using the up-down button type boarding/alighting prediction unit 121 for the user who presses only the normal up-down button.

In the destination floor reservation type elevator, the user movement prediction unit 132 predicts the movement of the user by using the destination floor reservation type wheelchair button and the boarding/alighting prediction unit 134 for the user who presses the wheelchair use button to input the destination floor when the destination floor reservation terminal is operated, and predicts the movement of the user by using the destination floor reservation type boarding/alighting prediction unit 123 for the user who does not press the wheelchair use button to input the destination floor.

The user movement prediction unit 132 appropriately selects a prediction unit for the up-down button type (a group in which the up-down button type boarding/descent prediction unit 121 and the up-down button type wheelchair button simultaneously use the boarding/descent prediction unit 133) and a prediction unit for the destination floor reservation type (a group in which the target floor reservation type boarding/descent prediction unit and the target floor reservation type wheelchair button simultaneously use the boarding/descent prediction unit 134) according to the prediction target (the up-down button type, the target floor reservation type).

Next, the prediction processing executed in embodiment 6 will be described as a user movement prediction method with reference to fig. 12 and 11.

Fig. 11 is a flowchart showing a part of the prediction processing executed by the destination floor reservation type boarding/alighting prediction unit 123 and the destination floor reservation type wheelchair button in the user movement prediction unit 132 (fig. 6) while using the boarding/alighting prediction unit 134.

In the flowchart of fig. 9 showing the prediction processing of embodiment 1, S101, i.e., the processing concerning the operation of the destination layer reservation terminal, is replaced with the flowchart of fig. 11.

The flowchart of fig. 11 will be explained below.

S301 is a probabilistic branch as in S103 of fig. 9. That is, the probability of the target floor reservation type wheelchair button simultaneous use rate set by the user action parameter setting unit 110 proceeds to S303, and the probability of the remaining probability, that is, the "1-wheelchair button simultaneous use rate" proceeds to S302.

In S302, the destination floor is not input to the destination floor reservation terminal using the wheelchair use button at the same time. After S302 is executed, the series of processing in fig. 11 is ended, and the process proceeds to S102 in fig. 9.

In S303, the user inputs a destination layer to the destination layer reservation terminal and presses the wheelchair use button. After S303 is executed, the series of processing in fig. 11 is ended, and the process proceeds to S102 in fig. 9.

Fig. 12 is a flowchart showing a part of the prediction processing executed by the up-down button type boarding/descent prediction unit 121 and the up-down button type wheelchair button in the user movement prediction unit 132 (fig. 6) while using the boarding/descent prediction unit 133.

In the flowchart of fig. 10 showing the prediction processing of embodiment 3, S202, i.e., the processing concerning the operation of the up/down button, is replaced with the flowchart of fig. 12.

The flowchart of fig. 12 will be explained below.

S401 is a probabilistic branch as in S103 of fig. 9. That is, after S201 in fig. 10 is executed, the probability of the simultaneous wheelchair button use rate of the up-down button type set by the user action parameter setting unit 110 proceeds to S403, and the probability of the remaining probability, that is, the "1-simultaneous wheelchair button use rate" proceeds to S402.

In S402, the up-down button for the wheelchair user in the destination layer direction is not pressed simultaneously with the up-down button for the wheelchair user. After S402 is executed, the series of processing in fig. 12 is ended, and the process proceeds to S203 in fig. 10.

In S403, the up-down button in the destination floor direction of the user is pressed, and the up-down button for the wheelchair user is also pressed. After S403 is executed, the series of processing in fig. 12 is ended, and the process proceeds to S203 in fig. 10.

According to embodiment 6, by using the wheelchair button for destination floor reservation type and the simultaneous usage rate to predict the user's behavior, it is possible to accurately predict the user's movement when there is a user who performs a behavior that is different from the behavior expected in the destination floor reservation type elevator system and uses the wheelchair button simultaneously when inputting a destination floor to the destination floor reservation terminal. Therefore, reliable elevator planning, reliable elevator design, and improved transportation efficiency of elevators controlled by group management can be achieved using the prediction results of example 5.

Further, according to embodiment 6, by predicting the user's behavior using the simultaneous use rate of the up-down button type wheelchair buttons, it is possible to accurately predict the movement of the user in the case where there is a user who performs a different behavior than expected in the elevator system using the up-down button type wheelchair buttons simultaneously and also uses the up-down button for the wheelchair user. Therefore, reliable elevator planning, reliable elevator design, and improved transportation efficiency of elevators controlled by group management can be achieved using the prediction results of example 5.

In addition, in embodiment 6, since S101 in the flowchart of fig. 9 is changed, the above-described autonomous determination rate is considered in addition to the simultaneous use rate of the wheelchair buttons for the destination floor reservation type. In the case where only the wheelchair button simultaneous use rate for the destination floor reservation type is considered in the wheelchair button simultaneous use rate for the destination floor reservation type and the autonomous determination rate, the autonomous determination rate may be set to 0.

In addition, in example 6, since S202 of the flowchart of fig. 10 is changed, the above-described rate of taking into account the forenotice lamp in addition to the simultaneous use rate of the push button type wheelchair buttons. In the case where only the simultaneous wheelchair button usage rate of the up-down button type is considered among the simultaneous wheelchair button usage rate of the up-down button type and the notice lamp consideration rate, the notice lamp consideration rate may be set to 0.

Example 7

Fig. 22 is a functional block diagram showing a configuration of an elevator user movement prediction device applicable to both a top/bottom button elevator and a destination-floor reservation elevator in embodiment 7 of the present invention.

The elevator user movement prediction device 7 includes user data 10, layout data 20, elevator specification data 30, a user generation unit 101, an elevator operation prediction unit 104, an elevator operation parameter setting means 141 capable of setting an elevator full-scale boarding rate, a user behavior parameter setting means 110 capable of setting a user full-scale boarding rate, a user movement prediction unit 140, a top-bottom button type boarding/descent prediction unit 121 and a destination floor reservation type boarding/descent prediction unit 123 which are included in the user movement prediction unit 140, and an output unit 105. These processing sections are connected to each other for exchanging data or signals.

The following description is made mainly of the user behavior parameter setting means 110, the user movement prediction unit 140, the elevator operation prediction unit 104, and the elevator operation parameter setting means 141, which are different from the embodiments 1 to 6.

The elevator operation parameter setting means 141 sets the elevator full-length boarding rate. The elevator full-ride determination lap ratio is used for elevator full-ride determination in the elevator operation prediction unit 104.

Generally, when an elevator is determined to be full, the control of the elevator is often changed so that the user who has already mounted the elevator moves to the destination floor with the highest priority without responding to a call in the hall. Then, the elevator operation prediction unit 104 changes the control of the operation when it is determined that the elevator is full based on the number of passengers or the load of the elevator. Here, the elevator is determined to be full when the number of passengers of the elevator is equal to or greater than the product of the full-elevator-state determination and the rated elevator-state determination, or when the load of the elevator is equal to or greater than the product of the full-elevator-state determination and the rated load capacity of the elevator.

The user behavior parameter setting unit 110 sets a user full-occupancy determination boarding rate. The user full-ride determination is a parameter used by the user movement prediction unit 140 to determine whether or not the user can ride the elevator.

As described above, in example 7, the full ride determination boarding rates are set independently on the elevator system side and the user side as parameters for full ride determination.

The other data and the processing units are the same as those described in examples 1 to 4. The simultaneous ascending/descending prediction unit 154, the simultaneous ascending/descending button setting simultaneous ascending/descending prediction unit 144, the simultaneous ascending/descending prediction unit 133 for the upper/lower button wheelchair button, and the simultaneous ascending/descending prediction unit 134 for the destination-level-reserving wheelchair button described in embodiments 1 to 6 may be added.

Next, the prediction processing executed in embodiment 7 will be described as a user movement prediction method. The following description will mainly deal with a user movement prediction process executed by the user movement prediction unit 140 to determine the boarding rate using the user full ride rate set by the user behavior parameter setting means 110, which is a difference from the other embodiments.

In each of the prediction processes of the up-down button type boarding/alighting prediction unit 121 and the destination floor reservation type boarding/alighting prediction unit 123 in the user movement prediction unit 140, the user full-occupancy determination is used for a boarding determination for determining whether or not each user successfully boards the elevator. Here, the boarding determination processing is S107 in fig. 9 and S208 in fig. 10.

Fig. 23 is a flowchart showing the boarding determination process in embodiment 7.

In S701, it is determined whether the number of passengers getting off the elevator from the arriving station e is less than the passenger c. In example 7, the operator c is the product of the user full-length ride rate and the rated operator of the single machine e set by the elevator operation parameter setting means 141. If the number of persons riding the stand e is less than the number of persons standing for c (yes in S701), the process proceeds to S702, and if the number of persons riding the stand e is equal to or more than the number of persons standing for c (no in S701), the process proceeds to S704.

In S702, it is judged whether or not the door of the arriving single-computer e is opened. If the door is opened (yes in S702), the process proceeds to S703, and if the door is not opened (no in S702), the process proceeds to S704. Here, the case where the door is not opened refers to, for example, a case where the elevator operation prediction unit 104 predicts that the elevator is full and therefore the elevator passes through the floor where the waiting passenger is located. As described above, the full-ride prediction by the elevator operation prediction unit 104 determines the boarding ratio using the full-ride state of the elevator set by the elevator operation parameter setting means 141.

In S703, it is predicted that the user who is a waiting passenger will take the unit e and successfully take the unit e. After execution of S703, the boarding determination process of fig. 23 ends.

In S704, when the user determines that the number of passengers is full (no in S701) or when the door is not opened because of being full (no in S702), it is predicted that the passengers have failed. After execution of S704, the boarding determination process of fig. 23 ends.

In S701, instead of determining whether the number of passengers is less than the number of passengers c, it may be determined whether the load after the passengers have fallen down is less than the product of the user' S full-capacity determination of the load factor and the rated load capacity of the elevator.

According to embodiment 7, the movement behavior of the user is predicted in consideration of the full state of the elevator, and therefore the movement behavior of the user can be predicted accurately. The full-ride determination riding rate is set independently on the elevator system side and the user side, and therefore the elevator operation state predicted when the user is full and the determination of the full-ride state of the user based on the congestion state in the elevator are reflected in the prediction of the user behavior. This improves the accuracy of prediction of the movement behavior of the user when the elevator is crowded.

Therefore, reliable elevator planning, reliable elevator design, and improved transportation efficiency of elevators controlled by group management can be achieved using the prediction results of example 7.

The present invention is not limited to the above embodiment, and includes various modifications. For example, the above embodiments are described in detail to explain the present invention easily and understandably, and are not limited to having all the configurations described. In addition, other configurations can be added, deleted, and replaced for a part of the configurations of the embodiments.

Description of the reference numerals

1. 2, 3, 4, 5, 6, 7 … … elevator user movement prediction device, 10 … … user data, 20 … … layout data, 30 … … elevator specification data, 90, 101 … … user generation section, 104 … … elevator operation prediction section, 105 … … output section, 110 … … user action parameter setting means, 111, 113, 114, 132, 140, 142, 152 … … user movement prediction section, 121 … … up-down button type boarding/landing prediction section, 122 … … up-down button type consideration advance indicator lamp boarding/landing prediction section, 123 … … destination floor reservation type boarding/landing prediction section, 124 … … destination floor reservation type autonomous determination boarding/landing prediction section, 133 … … up-down button type wheelchair button simultaneously using boarding/landing prediction section, 36134 34 destination floor reservation type wheelchair button simultaneously using boarding/landing prediction section, 36141 elevator operation parameter setting means, 39144 38 up-down button simultaneously setting boarding/landing prediction section, 154 … … along with a ride-fall predictor.

Claims (11)

1. An elevator user movement prediction method for predicting movement of an elevator user in an elevator hall having a plurality of elevators from arrival at the elevator hall to the front of the elevator, the elevator user movement prediction method characterized by:

the movement of the elevator user in the elevator hall is simulated by presetting where the elevator user moves in a floor from one time to the next time based on the action of the elevator user and the elevator running state at the one time with the input and output of information on the elevator running,

the actions of the elevator user include actions envisaged in advance and actions other than those envisaged in the operation of the elevator,

determining whether the elevator user takes the envisaged action or an action other than the envisaged action on the basis of prescribed parameters,

the specified parameter is associated with the probability of the elevator user taking the action other than the assumption,

in the simulation, whether the elevator user takes the assumed action or takes an action other than the assumed action is probabilistically selected as the action of the elevator user at the one time point based on the probability associated with the predetermined parameter.

2. The elevator user movement prediction method of claim 1, characterized in that:

and judging whether the elevator user successfully takes the single elevator car set according to the action of the elevator user or not based on the elevator running state.

3. The elevator user movement prediction method of claim 1, characterized in that:

the envisaged action is that the elevator user will have the unit allocated by the system according to the destination floor entered as a pickup unit,

the unexpected action is that the elevator user selects the pickup unit based on an autonomous decision,

the parameter is an autonomous decision rate associated with a probability that the elevator user selects the pickup unit based on the autonomous decision.

4. The elevator user movement prediction method of claim 3, characterized in that:

the boarding single machine selected by the elevator user based on the autonomous judgment is a single machine displaying the destination floor of the elevator user as stop floor information,

selecting a station having the largest utility function with at least one of the arrival order of the stations, the number of waiting persons, and the moving time from the user's location to the boarding location as variables from the time of the autonomous judgment.

5. The elevator user movement prediction method of claim 1, characterized in that:

the unexpected action is a accompanying action in which the elevator user takes a single machine allocated by the system according to the destination floor inputted as a boarding single machine together with a fellow person who has not performed destination floor input,

the parameter is an accompanying rate representing a probability of the presence of the co-worker.

6. The elevator user movement prediction method of claim 1, characterized in that:

the proposed action is to take a stand-alone with a warning light turned on assigned in response to a hall call as a boarding stand-alone,

the action other than the assumption is to confirm the arrival of the single machine, to use the arrived single machine as the pickup single machine,

the parameter is a forecast lamp consideration rate associated with a probability that the elevator user considers the forecast lamp.

7. The elevator user movement prediction method of claim 1, characterized in that:

the envisaged action is to press only the button in the direction of the destination floor of the elevator user among the up and down buttons,

the action other than the assumption is to press both the up and down buttons,

the parameter is a set rate of both up and down buttons associated with a probability of the elevator user pressing the two of the up and down buttons.

8. The elevator user movement prediction method of claim 1, characterized in that:

the contemplated action is to enter the destination floor without pressing the wheelchair access button,

the action other than the assumption is to enter the destination floor and press the wheelchair use button,

the parameter is a wheelchair button simultaneous usage rate associated with a probability that the elevator user enters the destination floor and presses the wheelchair usage button.

9. The elevator user movement prediction method of claim 1, characterized in that:

the contemplated action is to press only the up-down button among the up-down button and the wheelchair using up-down button,

the action that is not envisaged is to press both the up-down button and the wheelchair up-down button,

the parameter is a wheelchair button simultaneous usage rate associated with a probability of the elevator user pressing the up-down button and the wheelchair up-down button.

10. The elevator user movement prediction method of claim 2, characterized in that:

the elevator operating state is a full state,

and judging whether the elevator user successfully takes the single elevator according to the full-passenger state of the elevator system side predicted based on the elevator specification and the full-passenger state of the user side judged by the elevator user according to the congestion condition.

11. An elevator user movement prediction device that predicts movement of an elevator user in an elevator hall having a plurality of elevators from arrival at the elevator hall to the front of the elevator, the elevator user movement prediction device comprising:

an elevator operation prediction unit which predicts an elevator operation based on an elevator specification;

a user movement prediction unit that simulates the movement of the elevator user in the elevator hall by setting in advance where the elevator user moves within a floor from one time point to the next time point based on the predicted elevator operation at the one time point and the action of the elevator user associated with the input and output of information on the elevator operation, that is, the action assumed in advance and the action other than the assumed action in the elevator operation; and

a user action parameter setting unit that sets a parameter associated with a probability of the action other than the assumption,

the user movement prediction unit may probabilistically select, as the action of the elevator user at the one time point, whether the elevator user takes the assumed action or an action other than the assumed action, based on the probability associated with the set parameter, at the time of the simulation.

Images