CN108883889B

CN108883889B - Elevator dispatching plan system and updating method of elevator dispatching plan

Info

Publication number: CN108883889B
Application number: CN201680084162.5A
Authority: CN
Inventors: 服部智宏
Original assignee: Mitsubishi Electric Corp
Current assignee: Mitsubishi Electric Corp
Priority date: 2016-04-08
Filing date: 2016-04-08
Publication date: 2020-07-28
Anticipated expiration: 2036-04-08
Also published as: WO2017175380A1; CN108883889A; JPWO2017175380A1; JP6485668B2

Abstract

An elevator dispatching planning system comprises: a travel situation prediction device that generates outgoing situation prediction data by statistically processing power consumption maps of each section of each floor in a residential building; a dispatch plan prediction device for making a dispatch plan for making the elevator stand by at a proper floor based on the external situation prediction data; and an elevator control device for executing allocation control according to the allocation plan, wherein the elevator control device collects elevator taking performance data for identifying which floor a user actually takes the elevator from after the elevator is made to stand by at the allocation floor through the allocation control, and the allocation plan prediction device corrects the allocation plan of the current situation according to the elevator taking performance data, thereby making a new allocation plan for making the elevator stand by at a more appropriate floor and making the elevator control device execute the allocation control based on the new allocation plan.

Description

Elevator dispatching plan system and updating method of elevator dispatching plan

Technical Field

The present invention relates to an elevator dispatching planning system and an elevator dispatching planning updating method for performing an appropriate dispatching plan of an elevator in accordance with the use status of residents in an office building, an apartment building, or the like.

Background

In an office building, an apartment building, or the like, a waiting time is shortened and an operation efficiency is improved by allocating an elevator to a specific floor in advance at the time of going to work, or the like.

In recent years, techniques such as HEMS (Home Energy Management System) have been introduced to enable the user to grasp the power usage status. Therefore, by predicting the movement of a person using the information obtained by the above-described technique and allocating an elevator based on the prediction result, the waiting time can be further reduced.

Various techniques have been proposed for predicting actions based on power consumption and the like (see, for example, patent documents 1 to 3). Patent document 1 discloses a system and a method for estimating a home state based on an operating state of an electric device during operation or based on attributes such as age of a subject person.

Further, patent document 2 discloses an apparatus having an action analysis section that analyzes a time zone in which a user performs a specific action based on a monitoring result of power consumption of equipment.

Further, patent document 3 discloses the following technique: in a collective housing, when a resident having a wireless medium also serving as an electronic lock reads the wireless medium by a room-side reader, a car of an elevator is moved to a corresponding floor.

Documents of the prior art

Patent document

Patent document 1: japanese patent laid-open No. 2010-182072

Patent document 2: japanese laid-open patent publication No. 2015-170048

Patent document 3: international publication No. 2009/069221

Disclosure of Invention

Problems to be solved by the invention

However, the prior art has the following problems.

At present, a technique for performing elevator allocation based on an action prediction using power consumption has not been implemented. It is sufficiently considered that even if the scheduling is performed based on the prediction result, a result that contributes to shortening of the waiting time or improvement of the operation efficiency is not necessarily obtained.

The present invention has been made to solve the above-described problems, and an object of the present invention is to provide an elevator dispatching plan system and an elevator dispatching plan updating method that can perform dispatching control with higher convenience in accordance with the actions of building occupants.

Means for solving the problems

The elevator dispatching planning system of the invention comprises: a movement situation prediction device that generates, for each of the sections, outgoing situation prediction data indicating indoor/outgoing situations for each time zone by statistically processing a power consumption map of each section of each floor in the residential building; a dispatch plan prediction device which makes a dispatch plan for making an elevator stand by at an appropriate floor according to the indoor/outdoor situation in a preset time range after the current time based on the outdoor situation prediction data generated by the moving situation prediction device; and a control device for executing allocation control of the elevator according to the allocation plan received from the allocation plan prediction device, wherein the control device collects elevator taking performance data for identifying which floor the user actually takes the elevator from after the elevator is made to stand by at the allocation floor by the allocation control, and transmits the elevator taking performance data to the allocation plan prediction device, and the allocation plan prediction device corrects the allocation plan of the current situation according to the elevator taking performance data received from the control device, thereby making a new allocation plan for making the elevator stand by at a more appropriate floor, and transmitting the new allocation plan to the control device, so that the control device executes the allocation control based on the new allocation plan.

In addition, an elevator dispatching plan updating method according to the present invention is a method for executing dispatching control in accordance with an action of an elevator user in an elevator control device, the method including: a movement situation prediction step of generating, for each of the sections, outgoing situation prediction data indicating indoor/outgoing situations for each time zone by statistically processing a power consumption map of each section of each floor in the residential building; a dispatch plan prediction step of making a dispatch plan for causing the elevator to stand by at an appropriate floor based on the going-out situation prediction data generated by the movement situation prediction step and based on the indoor/outdoor situation within a preset time range after the current time; and an elevator control step of executing allocation control of the elevator based on the allocation plan prepared by the allocation plan prediction step, the elevator control step including: step 1, collecting elevator taking performance data for identifying which floor a user actually takes the elevator from after the elevator is made to stand by at the allocation floor by allocation control; a step 2 of correcting the allocation plan of the current situation according to the elevator taking performance data, thereby making a new allocation plan for making the elevator wait at a more proper floor; a 3 rd step of continuing the dispatching control under the dispatching plan already used in the elevator control step and collecting elevator taking performance data based on the continued dispatching control as data for evaluating the dispatching plan; and a 4 th step of comparing, based on the data for evaluating the allocation plan, the 1 st accuracy of the elevator on the allocation floor based on the allocation plan in use by the passenger and the 2 nd accuracy of the elevator on the allocation floor when the passenger assumes the use of the new allocation plan, executing the allocation control based on the new allocation plan when the 2 nd accuracy is higher than the 1 st accuracy, and continuing the allocation control in the allocation plan in use when the 2 nd accuracy is not more than the 1 st accuracy.

Effects of the invention

The invention has the following structure: the method comprises the steps of judging whether a building resident is out to predict the movement situation according to a power consumption map, making a deployment plan according to the movement situation prediction result, evaluating the appropriateness of the made deployment plan according to the actual elevator utilization performance, and updating the deployment plan as required. As a result, it is possible to provide an elevator dispatching plan system and an elevator dispatching plan updating method that can perform dispatching control with higher convenience in accordance with the actions of building occupants.

Drawings

Fig. 1 is a schematic diagram showing the overall structure of an elevator according to embodiment 1 of the present invention.

Fig. 2 is a configuration diagram of an elevator dispatching planning system according to embodiment 1 of the present invention.

Fig. 3 is a flowchart relating to a series of dispatch control processes executed in the elevator dispatch planning system according to embodiment 1 of the present invention.

Detailed Description

Hereinafter, preferred embodiments of an elevator dispatching plan system and an elevator dispatching plan updating method according to the present invention will be described with reference to the drawings.

Embodiment mode 1

First, the overall structure of an elevator that performs dispatch control will be described. Fig. 1 is a schematic diagram showing the overall structure of an elevator according to embodiment 1 of the present invention. As shown in fig. 1, a machine room 2 provided in an upper portion of a hoistway 1 includes: a hoisting machine 3 having a drive sheave; a deflector sheave 4 disposed at a distance from the hoisting machine 3; and a control device 5 for controlling the operation of the elevator.

A common main rope 6 is wound around the hoisting machine 3 and the deflector sheave 4. Examples of the main ropes 6 include cables, and belts.

The car 7 and the counterweight 8 are suspended in the hoistway 1 by the main rope 6. The car 7 and the counterweight 8 are raised and lowered in the hoistway 1 along corresponding car guide rails and counterweight guide rails, not shown, by the driving force of the hoisting machine 3. The car 7 and the counterweight 8 are raised and lowered in opposite directions.

A car-side input/output device 9 provided on the car 7 side is connected to the control device 5 via a communication cable 10. The car-side input/output device 9 includes an operation panel provided on the car side, a display, a weight sensor for detecting the weight of the car, and a photoelectric device provided on the car door for detecting the light-shielded state in the state where the car door is opened.

The control device 5 is connected to a landing side input/output device 12 provided at a landing 11 on each floor of the building via a communication cable 13. Here, the landing-side input/output device 12 is configured to include an operation panel and a display provided on the landing side.

The control device 5 controls the hoisting machine 3 to be raised and lowered based on input signals from the car side input/output device 9 and the landing side input/output device 12, and controls the car door and the landing door to be opened and closed to perform deployment control.

Next, an elevator dispatching planning system according to embodiment 1 of the present invention will be described. Fig. 2 is a configuration diagram of an elevator dispatching planning system according to embodiment 1 of the present invention. The elevator dispatching planning system 20 of embodiment 1 is configured to include a movement situation prediction device 21, a dispatching plan prediction device 22, and a prediction result determination device 23, and further includes the control device 5 as shown in fig. 1.

Here, the travel situation prediction device 21, the scheduling plan prediction device 22, and the prediction result determination device 23 correspond to other devices connected to a control panel in which the control device 5 is housed. However, the devices may be separate or integrated in one apparatus.

In the case where only one car is provided as shown in fig. 1, the control device 5 can include the functions of the movement prediction device 21, the allocation plan prediction device 22, and the prediction result determination device 23. In the case of a plurality of cars, these functions can be included in a group management panel or a representative control panel that controls a plurality of control devices.

The elevator dispatching planning system 20 is connected to the power information measurement system 30. Here, the electric power information measurement system 30 is, for example, a building facility installed in an administrator room, and corresponds to HEMS and the like.

The power information measurement system 30 can output power information corresponding to the power consumption amount of each section in the building in which the elevator is installed as a signal SG 1. The sections correspond to areas obtained by dividing the floor into sections, and for example, in the case of a collective housing in which buildings are used, the room numbers of the individual residents correspond to the sections.

First, the movement situation prediction apparatus 21 will be described. The movement situation prediction apparatus 21 has the following functions.

[ function ] function for generating outgoing situation prediction data

Therefore, the function will be described in detail below.

The travel situation prediction apparatus 21 stores the power information on each section acquired from the power information measurement system 30 in the storage unit as time series data. Then, the travel situation prediction apparatus 21 predicts the outgoing situation of the resident in each section in the building according to the transition state of the time series data, the outgoing situation corresponding to the time zone.

For example, the travel situation prediction device 21 can determine, from the time series data of the power information of one day, that the time zone in which the power consumption amount is smaller than the predetermined determination threshold is a time zone in which the resident is out and does not consume power.

In addition, when the building includes a living section, it is conceivable that a time zone in which the power consumption amount is smaller than the determination threshold value because the resident is sleeping although the resident is not out exists in the living section. Therefore, the travel situation prediction apparatus 21 sets an outgoing determination exclusion time zone in advance for each section, and when the power consumption amount is smaller than the determination threshold value in a range including the time zone, can determine that the travel situation prediction apparatus is not outgoing for the corresponding time zone.

Specifically, a case will be described in which a time period except for the outgoing determination is determined in advance from 1 am to 5 am in a certain living section. In this case, the travel situation prediction apparatus 21 unconditionally determines that the occupant is not out of the house in the living section between 1 point in the early morning and 5 points in the early morning, regardless of the amount of power consumption.

Further, for example, in the case where the amount of power consumption between 11 pm and 2 am is smaller than the determination threshold value, the time period includes a part of the outgoing determination exclusion time period. In this case, the travel situation prediction apparatus 21 may determine that the travel situation is a non-outgoing time zone by including 11 pm to 1 am, which are not included in the outgoing determination exclusion time zone.

In this way, the travel situation prediction apparatus 21 can determine which time zone is out for each of the sections based on the time series data for one day. The travel situation prediction apparatus 21 can determine a time zone during travel from more data by analyzing time series data for a certain number of days, such as one day, and performing statistical processing such as averaging.

In addition, when determining the time period during which the user is going out, the travel situation prediction apparatus 21 may be configured to determine the time period during which the user is going out by dividing the time period into several groups and determining the time period during which the user is going out for each of the groups, for example, by dividing the time period during which the user is going out into 7 groups and determining the time period during which the user is going out for each day of the week, or by dividing the time period during which the user is going out for each.

The travel situation prediction apparatus 21 can perform optimization grouping for each area based on the characteristics of the building or the characteristics of each section, and individually set an outgoing determination exclusion time period for each of the groups.

In addition, the movement situation prediction means 21 can estimate the number of registered persons in the area from the size of the power consumption amount by further distinguishing the time period in which the power consumption amount is equal to or more than the determination threshold value by a plurality of threshold values.

The travel situation prediction apparatus 21 may also be configured to store the number of persons who are stationary in the seats in advance for each section, and to simply assume that the number of persons corresponding to the number of persons who are stationary is on the seats for a time zone in which the power consumption amount is equal to or greater than the determination threshold, and to simply assume that the number of persons corresponding to the number of persons who are stationary is out for a time zone in which the power consumption amount is less than the determination threshold.

In this way, the travel situation prediction apparatus 21 can generate the outgoing situation prediction data for identifying the outgoing time zone and the non-outgoing time zone for each of the sections, based on the time series data of the power information on each of the sections acquired from the power information measurement system 30. The outgoing situation prediction data may include a prediction of the number of registered persons in each section for each time zone determined to be outgoing or not outgoing.

On the other hand, when preparing the scheduling plan, the scheduling plan predicting device 22 can appropriately read the going-out situation prediction data stored in the travel situation predicting device 21 as the signal SG 2.

Therefore, the allocation plan prediction apparatus 22 will be described below. The deployment plan prediction device 22 has the following 3 functions.

[ function 1] Dispatch plan creation function based on going-out situation prediction data

[ function 2] Dispatch plan making function based on Elevator-taking actual Performance data

[ function 3] correction function of deployment plan

Therefore, these functions will be described in detail below.

The dispatch plan prediction device 22 has a function of making an elevator dispatch plan based on the outgoing situation prediction data of each of the sections generated by the travel situation prediction device 21.

For example, the allocation plan predicting device 22 can estimate which floor has the most occupants or does not need to be allocated based on the outgoing situation prediction data acquired from the travel situation predicting device 21, and can make an allocation plan based on the estimation result.

The allocation plan prediction device 22 may estimate the future transition state of the total number of occupants from the travel situation prediction data, instead of the total number of occupants at the current time of each floor. Therefore, focusing on the transition of the statistically obtained traveling situation prediction data, the distribution can be performed to the entrance floor when the distribution is performed in advance for a floor predicted to increase the number of people going out in the future or when the number of people going out of the entire building is decreased (i.e., when it is predicted that the user will go home). In other words, the deployment plan prediction device 22 can make a deployment plan based on the travel situation prediction data in a predetermined time range from the current time.

In this way, the deployment plan prediction device 22 can generate a deployment plan based on the travel situation prediction data acquired from the travel situation prediction device 21 and output the deployment plan to the control device 5 as a signal SG 3.

The deployment plan prediction device 22 has the following functions: by referring to the boarding performance data acquired as the signal SG5 from the control device 5, a deployment plan that is different from the deployment plan based on the estimation made by the function 1 and that matches the performance basis of the actual usage situation is generated. Here, the elevator boarding performance data refers to performance data for identifying which floor a user actually boards the car after the car is moved to the allocation floor by allocation control, and details thereof will be described later.

The deployment plan prediction device 22 can judge the adequacy of the deployment plan based on the estimation by each time zone by comparing the deployment plan based on the estimation made for each time zone based on the travel situation prediction data with the boarding performance data for each time zone.

For example, consider the following: the plan based on the estimation is allocated to 5 floors, and although the floor 5 is on standby with the door open, it is actually in response to a landing call from 3 floors. In this case, it is preferable to prepare 3 layers as a result. Therefore, the deployment plan prediction device 22 can quantify the validity of the deployment plan based on the estimation as the accuracy calculated in a statistical manner by accumulating such boarding performance data.

As an example, assuming that the dispatch plan prediction device 22 dispatches an elevator to 5 floors based on a dispatch plan based on an estimation of a certain same time slot during a 10-day period based on the same outgoing situation prediction data, the elevator-taking performance data of each floor at this time is in the following ratio.

When such elevator-taking performance data is obtained, the accuracy of the allocation to 5 floors reaches 50%, and the accuracy is the highest for 5 floors. However, in a state where the car is empty, the energy consumption for moving the elevator upward is less than that for moving the elevator downward. In the above example, it is expected that the accuracy of about 30% can be obtained when the composition is prepared in 3 layers.

Therefore, the deployment plan prediction device 22 can update the deployment plan based on the estimation basis of the traveling-out situation prediction data in consideration of the waiting time or energy consumption of the passenger for the time zone, and deploy the deployment plan to 3 floors or 4 floors.

That is, the dispatch plan prediction device 22 can make a dispatch plan based on the actual results by correcting the dispatch plan in the current situation based on the boarding actual results data, thereby reducing the waiting time of passengers and reducing the energy consumption.

The actual result-based deployment plan created by the deployment plan prediction device 22 is not limited to one, and may be a plurality of plans. In the above-described specific example, the deployment plan prediction device 22 can create a deployment plan based on actual results in a case where 5 layers are corrected to 4 layers and a case where 5 layers are corrected to 3 layers.

The accuracy is not limited to the ratio of matching of the allocation floor and the boarding floor. The elevator riding performance data on floors other than the allocation floor may be multiplied by an appropriate weight to be considered in the calculation of the accuracy, with a view to making the energy consumption for the upward movement smaller than that for the downward movement, a view to shortening the waiting time of the passengers in the entire system, and a view to reducing the energy consumption in the entire system.

In the following description, the deployment plan used for actual deployment will be referred to as a deployment plan of the current situation, and the deployment plan based on the actual performance, which is prepared by correcting the deployment plan of the current situation in consideration of the elevator-taking performance data, will be referred to as a new deployment plan, for classification. The deployment plan prediction device 22 corrects the deployment plan of the current situation based on more elevator-taking performance data and calculates a new deployment plan, thereby statistically obtaining an appropriate deployment plan.

[ function 3] correction function of deployment plan

The deployment plan prediction device 22 has the following functions: after the new deployment plan is created, the elevator boarding performance data acquired as the signal SG5 from the control device 5 is referred to, and it is determined which of the deployment plan of the current situation and the new deployment plan is more appropriate, and the deployment plan to be transmitted to the control device 5 is updated.

The dispatch plan prediction device 22 refers to the dispatch plan of the current situation already transmitted to the control device 5 as the signal SG3 and one or more new dispatch plans based on the actual results, which are prepared by correcting the dispatch plan of the current situation in consideration of the elevator riding performance data in the function 2, as data for evaluating the dispatch plan, and calculates the accuracy rate. Then, the deployment plan prediction device 22 determines which deployment plan is most suitable based on the accuracy calculated for each deployment plan.

That is, the blending plan prediction device 22 quantitatively grasps the adequacy of the blending plan in the current situation used for the operation control in the current situation based on the accuracy of the blending plan in the current situation.

On the other hand, the deployment plan prediction device 22 quantitatively grasps the appropriateness of the new deployment plan in the following cases, based on the accuracy of the new deployment plan: that is, it is assumed that the operation control is performed using one or more performance-based deployment plans, which are not used for the operation control in the current situation.

The deployment plan prediction device 22 determines that the deployment plan in the current situation is maintained and does not update the deployment plan, while the accuracy of the deployment plan in the current situation is higher than that of the new deployment plan.

On the other hand, when the accuracy of any of the new blending plans is higher than that of the current blending plan, the blending plan prediction device 22 transmits the new blending plan that can obtain the highest accuracy to the control device 5 as a signal SG3, and updates the blending plan.

That is, the allocation plan of the current situation is set as an allocation plan a, and two new allocation plans obtained by correcting the allocation plan of the current situation based on the boarding performance data are set as an allocation plan B and an allocation plan C, respectively. In this case, the deployment plan prediction device 22 calculates the accuracy using the boarding performance data obtained after the deployment plan B, C is created, selects a deployment plan having the highest accuracy from the deployment plans a to C, and transmits the selected deployment plan to the control device 5.

When it is assumed that the scheduling plan B is selected and transmitted as the signal SG3, the scheduling plan predicting apparatus 22 can adopt the scheduling plan a, which has been adopted until the previous time, as a comparison target. In this case, by evaluating the adequacy after the above, when the deployment plan a is the deployment plan having the highest accuracy, the system can return to the deployment plan a again.

Next, the control device 5 will be explained. The control device 5 has the following two functions.

[ function 1] Dispatch control function based on Dispatch plan

[ function 2] Elevator-riding performance data generating function

Therefore, these functions will be described in detail below.

[ function 1] Dispatch control function based on Dispatch plan

The control device 5 performs normal operation control based on the car call and the hall call, and also refers to the dispatch plan received from the dispatch plan prediction device 22 to select a standby floor (dispatch floor) when there is no car call and no hall call, and performs dispatch control. For example, when receiving a call plan indicating that a car should be allocated to 5 floors from the call plan prediction device 22 in the current time zone in a situation where there is no car call or landing call, the control device 5 executes call plan control for moving the car to 5 floors and waiting in an open state.

When a landing call from a floor other than 5 floors occurs during the 5-floor standby, the control device 5 moves the car to the landing call floor after closing the door, and causes the passenger to ride in the car after opening the door, thereby performing normal operation control.

[ function 2] Elevator-riding performance data generating function

The control device 5 can determine that a user has taken the car by using a photoelectric sensor provided in the car door. Here, the photosensor corresponds to the prediction result determination device 23 shown in fig. 2. The detection result of the photosensor of the prediction result determination device 23 corresponds to a signal SG4 shown in fig. 2.

When the car is moved to the 5 floors by the dispatch control and stands by in the open-door state, the control device 5 can determine that the user gets into the car from the 5 floors by switching the on/off state of the photoelectric sensor. In this case, the control device 5 considers that the user takes the elevator at 5 floors and counts the number of the elevator, and performs allocation control for 5 floors.

On the other hand, when a landing call from the 3 th floor occurs while no person is boarding the car from the 5 th floor, although the car is moved to the 5 th floor by the dispatch control and stands by in the door-open state, the control device 5 moves the car to the 3 rd floor. After reaching the 3 rd floor, the door is opened, and the photoelectric sensor is switched between on and off states, so that it can be determined that the user has taken the elevator from the 3 rd floor into the car. In this case, the control device 5 counts the number of users who take the elevator at 3 floors instead of 5 floors as a result of the allocation control for 5 floors.

In this way, the control device 5 can generate the following elevator boarding performance data used for the explanation of the function 2 of the allocation plan prediction device 22 as an example by counting the relationship between the allocation floor based on the allocation control and the floor where the elevator is actually taken in the same time zone.

Then, the control device 5 transmits the generated elevator boarding performance data to the dispatch plan prediction device 22 as a signal SG 5.

Although the description is omitted, signal SG6 in fig. 2 is described in addition. The signal SG6 is a signal corresponding to the prediction error result fed back to the travel situation prediction apparatus 21 by the scheduling prediction apparatus 22.

The deployment plan prediction device 22 makes a deployment plan based on the going-out situation prediction data acquired from the travel situation prediction device 21. On the other hand, the dispatch plan prediction unit 22 acquires elevator riding performance data for the dispatch plan from the control unit 5.

For example, as the travel-out situation prediction data in a certain time period, the sections belonging to the 2-level floor show more travel-out sections, and the 2-level floor is set to the dispatch floor with a low possibility, but the travel-in performance data is the travel-in from the 2-level floor. In this case, the dispatch plan prediction apparatus 22 can transmit the prediction error result indicating that the elevator is actually taken from the 2-level floor to the travel situation prediction apparatus 21 as a signal SG 6.

In contrast, the travel situation prediction apparatus 21 that has received the prediction error result can correct the outgoing situation prediction data on layer 2 by, for example, lowering the determination threshold of the power consumption amount in the corresponding time zone. Alternatively, the travel situation prediction apparatus 21 may correct the power consumption map of each section of the 2-layer obtained by the statistical processing in a direction in which the consumption amount increases.

As a result, the travel situation prediction device 21 can correct the outgoing situation prediction data in a direction approaching the riding performance based on the prediction error result fed back from the allocation plan prediction device 22.

Next, a series of processing of the above-described blending control will be described with reference to a flowchart. Fig. 3 is a flowchart relating to a series of dispatch plan update processes executed in the elevator dispatch plan system according to embodiment 1 of the present invention.

In step S301, the travel situation prediction apparatus 21 generates, for each of the respective sections, the outgoing situation prediction data indicating the indoor/outdoor situation for each time zone, based on the power information.

Next, in step S302, the deployment plan prediction apparatus 22 refers to the outgoing situation prediction data corresponding to the current time zone, and makes a deployment plan for the current time zone. The deployment plan prediction device 22 transmits the prepared deployment plan to the control device 5.

Next, in step S303, the control device 5 determines a dispatch floor in a state where there is no car call or landing call based on the dispatch plan received from the dispatch plan prediction device 22, and executes dispatch control. In the allocation control, the controller 5 moves the car to the allocation floor and then waits in a state where the door is opened.

On the other hand, although not described in detail in the flowchart, as described above, when a landing call from another floor occurs while the allocated floor is on standby, the control device 5 causes the car to perform a series of operations of closing the door, moving the car to the floor where the landing call has occurred, and opening the door, and waits for the user to ride on the floor where the landing call has occurred.

Next, in step S304, the control device 5 detects that the user has taken the elevator based on the detection result of the photoelectric sensor every time the allocation control for the allocation floors is executed, and updates the elevator taking performance data indicating the correspondence relationship between the allocation floors and the actual elevator taking floors. Then, the control device 5 transmits the boarding performance data to the allocation plan prediction device.

Next, in step S305, the dispatch plan prediction device 22 corrects the dispatch plan of the current situation based on the elevator riding performance data, thereby virtually creating a new dispatch plan that matches the actual elevator riding situation. As described above, the deployment plan prediction apparatus 22 is not limited to the one new deployment plan, and may create a plurality of new deployment plans.

Next, in step S306, the dispatch plan prediction device 22 calculates the accuracy based on the elevator riding performance data after the new dispatch plan is generated for each of the dispatch plan of the current situation already transmitted to the control device 5 in step S302 and the new one or more dispatch plans virtually generated in step S305.

Next, in step S307, the deployment plan prediction device 22 evaluates which deployment plan is most suitable based on the calculated accuracy. When determining that the current deployment plan is the most suitable, the deployment plan prediction device 22 proceeds to step S308, and continues the deployment control of the current situation without transmitting a new deployment plan to the control device 5.

On the other hand, when determining that there is an optimal deployment plan among the one or more deployment plans virtually created, the deployment plan prediction device 22 proceeds to step S309, transmits the new deployment plan determined to be optimal to the control device 5, and causes the control device 5 to execute new deployment control.

Next, in step S310, the deployment plan prediction device 22 refers to the outgoing situation data to determine whether or not the current time is the update time of the deployment plan based on the outgoing situation data. When determining that the time is the update time, the deployment plan prediction device 22 returns to step S302, and when not, returns to step S304 to repeat a series of processes.

In addition, when a sufficient amount of data cannot be accumulated as the boarding performance data, the deployment plan prediction device 22 may maintain the deployment plan of the current situation without performing the processing of steps S305 to S307.

As described above, the elevator dispatching planning system according to embodiment 1 can execute a series of processes shown in fig. 3 by having the configuration shown in fig. 2. As a result, the following elevator dispatching plan system and method for updating an elevator dispatching plan can be provided: they can perform allocation control of elevators by using the result of prediction of the movement situation of the building occupants, and perform allocation with high convenience in accordance with the actions of the building occupants.

The scheduling control based on the movement situation prediction is not necessarily the prediction. Therefore, embodiment 1 also has the following functions: the actual elevator riding performance accompanying the dispatching control is fed back, the validity of the prediction result is evaluated, and the dispatching plan is updated to be an appropriate dispatching plan according to the evaluation result.

At the same time, since the initial elevator-taking performance is operated with a small amount of data and low reliability, the allocation control based on the movement situation prediction is first performed, and the allocation plan of the current situation is corrected based on the elevator-taking performance at the time when a sufficient amount of elevator-taking performance data is accumulated, thereby making a new allocation plan in a hypothetical manner. Then, in the case where it can be determined that the new plan for allocation made in a hypothetical manner is more appropriate than the plan for allocation in the current situation actually used, the plan for allocation collected after the new plan for allocation is made is updated with the new plan for allocation made in a hypothetical manner, and allocation control is executed.

As a result, it is possible to provide an elevator dispatching plan system and an elevator dispatching plan updating method that can realize dispatching control with further improved convenience in consideration of actual usage conditions, and realize reduction of waiting time and improvement of operation efficiency.

In embodiment 1, the movement situation prediction device 21, the deployment plan prediction device 22, and the control device 5 are described as independent devices. However, these means may be in the form of one or two means including a device structure having a part of the functions.

Further, although a photoelectric sensor provided in the car is exemplified as the prediction result determination device 23, a weight measuring device for measuring the weight of the car may be used instead as the prediction result determination device 23.

Further, instead of using hardware devices such as a photoelectric sensor and a weight measuring device, the control device 5 may be configured to recognize, by software processing, whether a user who takes the elevator at the allocation floor has made a car call in the car or after moving from the allocation floor to another floor in response to a hall call, and then, by software processing, to make a car call in the car by a user who takes the elevator at the other floor.

In embodiment 1 described above, a case where the system waits in a door-open state after reaching the allocation floor is described. However, the present invention is not limited to such control, and can be applied to a case where the car is moved only to the allocation floor and the door is closed, and similar effects can be obtained.

Claims

1. An elevator dispatching planning system, wherein the elevator dispatching planning system comprises:

A movement situation prediction device that generates, for each of the sections, outgoing situation prediction data indicating indoor/outgoing situations for each time zone by statistically processing a power consumption map of each section of each floor in the residential building;

A dispatch plan prediction device that creates a dispatch plan for causing an elevator to stand by at an appropriate floor based on the outbound situation prediction data generated by the travel situation prediction device and based on the indoor/outbound situation within a predetermined time range after the current time; and

A control device for executing the dispatch control of the elevator according to the dispatch plan received from the dispatch plan prediction device,

The control device collects elevator taking performance data for identifying which floor a user actually takes the elevator from after the elevator is made to stand by at the allocation floor by the allocation control, and transmits the elevator taking performance data to the allocation plan prediction device,

The allocation plan prediction device corrects an allocation plan of a current situation based on the elevator riding performance data received from the control device, thereby making a new allocation plan for making the elevator stand by at a more appropriate floor, and transmits the new allocation plan to the control device, so that the control device executes allocation control based on the new allocation plan.

2. The elevator dispatching planning system of claim 1,

The allocation plan predicting device continues allocation control under the allocation plan of the current situation already sent to the control device in a stage after the new allocation plan is made and before the new allocation plan is sent to the control device, acquires elevator boarding performance data based on the continued allocation control from the control device as allocation plan evaluation data, compares a 1 st accuracy of elevator boarding of an allocation floor of the allocation plan based on the current situation with a 2 nd accuracy of elevator boarding of the allocation floor of the passenger when the new allocation plan is supposed to be used, based on the allocation plan evaluation data, and sends the new allocation plan to the control device when the 2 nd accuracy obtains a value higher than the 1 st accuracy, so that the control device executes allocation control based on the new allocation plan, and continuing the scheduling control in the scheduling plan of the current situation when the 2 nd accuracy is equal to or less than the 1 st accuracy.

3. The elevator dispatching planning system of claim 1 or 2,

The allocation plan prediction means does not execute the processing for creating the new allocation plan until the elevator-taking performance data reaches the statistical processing allowance for creating the new allocation plan.

4. The elevator dispatching planning system of claim 1 or 2,

The dispatch plan prediction device compares the dispatch plan transmitted to the control device with the boarding performance data acquired from the control device as a result of the dispatch control being performed based on the dispatch plan, thereby determining whether the travel situation prediction data generated by the travel situation prediction device is correct and generating prediction correct-error data, and transmitting the prediction correct-error data to the travel situation prediction device,

The travel situation prediction means corrects the outgoing situation prediction data based on the prediction correctness data fed back from the deployment plan prediction means.

5. The elevator dispatching planning system of claim 3,

6. An updating method of an elevator dispatching plan for performing dispatching control conforming to actions of elevator users in an elevator control device, comprising:

A movement situation prediction step of generating, for each of the sections, outgoing situation prediction data indicating indoor/outgoing situations for each time zone by statistically processing a power consumption map of each section of each floor in the residential building;

A dispatch plan prediction step of making a dispatch plan for causing an elevator to stand by at an appropriate floor based on the going-out situation prediction data generated in the travel situation prediction step and based on the indoor/outdoor situation within a preset time range after the current time; and

An elevator control step of executing the dispatch control of the elevator based on the dispatch plan created by the dispatch plan prediction step,

The elevator controlling step includes:

Step 1, collecting elevator taking performance data for identifying which floor a user actually takes the elevator from after the elevator is made to stand by at the allocation floor by the allocation control;

A step 2 of correcting a deployment plan of a current situation based on the elevator riding performance data to create a new deployment plan for making the elevator wait at a more appropriate floor;

A 3 rd step of continuing the dispatching control under the dispatching plan already used in the elevator control step and collecting elevator riding performance data based on the continued dispatching control as data for evaluating the dispatching plan; and

And a 4 th step of comparing, based on the data for evaluating the allocation plan, a 1 st accuracy rate of the elevator on the allocation floor based on the allocation plan in use by the passenger and a 2 nd accuracy rate of the elevator on the allocation floor when the passenger assumes the use of the new allocation plan, executing the allocation control based on the new allocation plan when the 2 nd accuracy rate is higher than the 1 st accuracy rate, and continuing the allocation control under the allocation plan in use when the 2 nd accuracy rate is equal to or lower than the 1 st accuracy rate.