JP6485668B2 - Elevator dispatch plan system and elevator dispatch plan update method - Google Patents

Description

  The present invention relates to an elevator vehicle allocation plan system and an elevator vehicle allocation plan update method for performing an appropriate vehicle allocation plan for an elevator according to the use situation of residents such as offices and apartments.

  In condominiums and offices, elevators are dispatched to specific floors in advance when going to work or leaving work to reduce waiting time and improve operation efficiency.

  Further, in recent years, a technology for visualizing the usage state of power, such as HEMS (Home Energy Management System), has been introduced. Therefore, it is possible to further reduce waiting time by predicting the movement of a person using information obtained from such a technique and dispatching an elevator based on the prediction result.

  Numerous techniques have been proposed for behavior prediction based on power consumption and the like (see, for example, Patent Documents 1 to 3). Patent Document 1 discloses a system and method for estimating a home state from an operation state indicating whether or not an electric device is operating in accordance with an attribute such as the age of the subject.

  Further, Patent Document 2 discloses an apparatus including a behavior analysis unit that analyzes a time zone in which a user performs a specific behavior based on a monitoring result of power consumption of a device.

  Furthermore, Patent Document 3 discloses a technique for bringing an elevator car to the corresponding floor when a resident who possesses a wireless medium that also serves as an electronic lock in an apartment house has the wireless medium read by a room-side reader. ing.

JP 2010-182072 A Japanese Patent Laid-Open No. 2015-170048 International Publication No. 2009/069221

However, the prior art has the following problems.
Based on behavior prediction using power consumption, no technology has been implemented to allocate elevators. In addition, even if the vehicle is allocated based on the prediction result, it is sufficiently conceivable that the waiting time is not necessarily shortened or the operation efficiency is not improved.

  The present invention has been made to solve the above-described problems, and is an elevator dispatch plan system and an elevator dispatch plan capable of performing more convenient dispatch control in accordance with the behavior of a building occupant. The purpose is to obtain an update method.

  The elevator dispatch planning system according to the present invention statistically processes the power consumption pattern of each section of each floor in a residential building, so that each section has an out-of-room situation indicating the occupancy / out-of-room situation in each time zone Based on the motion prediction device that generates prediction data and the out-of-home situation prediction data generated by the motion prediction device, the elevator waits at the appropriate floor from the occupancy / out-of-office situation for a preset time span after the current time. A vehicle allocation plan prediction device for preparing a vehicle allocation plan to be executed and a control device for executing vehicle allocation control of the elevator based on the vehicle allocation plan received from the vehicle allocation plan prediction device. The control device is made to wait on the vehicle allocation floor by vehicle allocation control. Later, it collects the boarding result data that identifies the floor from which the user actually boarded, sends the boarding result data to the dispatching plan prediction device, and The measuring device makes a new vehicle allocation plan for making the elevator stand by on a more appropriate floor by correcting the current vehicle allocation plan based on the boarding result data received from the control device. A new vehicle allocation plan is transmitted, and vehicle allocation control based on the new vehicle allocation plan is executed.

  An elevator dispatch plan updating method according to the present invention is an elevator dispatch plan update method applied to an elevator control device to execute a dispatch control in accordance with an elevator user's behavior, and is a residential building. By performing statistical processing on the power consumption pattern of each section of each floor in the floor, a motion prediction step for generating out-of-room status prediction data indicating the occupancy / outing status in each time zone for each section, and a motion prediction step A dispatch plan prediction step for creating a dispatch plan for waiting for an elevator on an appropriate floor from the occupancy / outing situation in a preset time width after the current time based on the predicted travel situation data generated by An elevator control step for executing the vehicle allocation control based on the vehicle allocation plan prepared in the plan prediction step. The elevator control step includes a first step of collecting boarding result data for identifying the floor from which the user actually boarded after waiting on the boarding floor by the car assignment control, and a current car assignment based on the boarding result data. By correcting the plan, the second step of creating a new dispatching plan to make the elevator stand by at a more appropriate floor and the dispatching control in the dispatching plan already in use in the elevator control step are continued and continued. The third step of collecting the actual vehicle ride control data by the vehicle assignment control as the data for vehicle assignment plan evaluation, and the first correct answer rate that passengers get on the vehicle assignment floor according to the vehicle assignment plan based on the vehicle assignment plan evaluation data, and When the second correct answer rate that the passenger has boarded on the allocation floor when assuming that a new allocation plan is used is compared with the second correct answer rate is higher than the first correct answer rate Executes dispatch control with a new dispatch plan, when the second correct answer rate is less than the first percentage of correct answers is to continue the dispatch control in the vehicle allocation plan being used.

  According to the present invention, motion prediction is performed by determining whether or not a building occupant is out based on a power consumption pattern, and a vehicle allocation plan is prepared based on the motion prediction result, and the vehicle allocation plan that has been formulated Is evaluated based on actual use results of elevators, and a vehicle dispatch plan is updated as necessary. As a result, it is possible to obtain an elevator dispatch plan system and an elevator dispatch plan update method that can perform more convenient dispatch control in accordance with the behavior of the building occupants.

It is a schematic diagram which shows the whole structure of the elevator in Embodiment 1 of this invention. It is a block diagram of the elevator vehicle allocation plan system in Embodiment 1 of this invention. It is a flowchart regarding a series of vehicle allocation control processing performed in the elevator vehicle allocation planning system in Embodiment 1 of this invention.

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

Embodiment 1 FIG.
First, the overall configuration of an elevator that performs vehicle allocation control will be described. FIG. 1 is a schematic diagram showing an overall configuration of an elevator according to Embodiment 1 of the present invention. As shown in FIG. 1, in a machine room 2 provided at the upper part of the hoistway 1, a hoisting machine 3 having a driving sheave and a deflecting wheel 4 arranged at an interval with respect to 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 deflecting wheel 4. Examples of the main rope 6 include a wire, a rope, and a belt.

  A car 7 and a counterweight 8 are suspended in the hoistway 1 by a main rope 6. The car 7 and the counterweight 8 are moved up and down in the hoistway 1 along the corresponding car guide rail (not shown) and the weight guide rail (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. Here, the car-side input / output device 9 includes an operation panel provided on the car side, an indicator, a weight sensor for detecting the car weight, and a car door for detecting a light-shielding state when the car door is open. It is configured including the provided photoelectric device.

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

  And the control apparatus 5 performs raising / lowering control of the hoisting machine 3 based on the input signal from the car side input / output device 9 and the landing side input / output device 12, and performing opening / closing control of the car door and the landing door. The vehicle allocation control will be executed.

  Next, the elevator vehicle allocation planning system according to the first embodiment will be described. FIG. 2 is a configuration diagram of the elevator allocation planning system according to Embodiment 1 of the present invention. The elevator vehicle allocation planning system 20 according to the first embodiment includes a motion prediction device 21, a vehicle allocation planning prediction device 22, and a prediction result determination device 23, and includes the control device 5 shown in FIG. Yes.

  Here, the motion prediction device 21, the vehicle allocation plan prediction device 22, and the prediction result determination device 23 correspond to different devices connected to the control panel in which the control device 5 is accommodated. However, each device may be separate, but may be combined into one device.

  In addition, when only one car is used as shown in FIG. 1, the functions of the motion prediction device 21, the vehicle allocation plan prediction device 22, and the prediction result determination device 23 can be included in the control device 5. Is possible. In the case of a plurality of cages, these functions can be included in a group management board or a representative control board that controls a plurality of control devices.

  Further, the elevator vehicle allocation planning system 20 is connected to the power information measurement system 30. Here, the power information measurement system 30 is, for example, building equipment installed in a manager's room, and corresponds to HEMS or the like.

  And the electric power information measurement system 30 can output the electric power information equivalent to the electric power consumption for every division in the building in which the elevator is installed as the signal SG1. In addition, the section corresponds to an area subdivided on each floor. For example, if the building is a residential complex, the room number of each resident corresponds to the section.

First, the motion prediction apparatus 21 will be described. The motion prediction apparatus 21 has the following functions.
[Function] Function to Create Out-of-Office Situation Prediction Data Therefore, this function will be described in detail below.

  The motion prediction apparatus 21 stores the power information about each section acquired from the power information measurement system 30 in the storage unit as time series data. And the movement prediction apparatus 21 predicts the going-out situation according to the time zone of the resident of each division in a building based on the transition state of time series data.

  As an example, the motion prediction apparatus 21 uses the power because the resident is out of the time zone in which the power consumption is less than the preset determination threshold based on the time-series data for one day of the power information. It can be determined that the time is not consumed.

  In addition, when a building includes a residential block, there is a time zone in which the amount of power consumption is less than the determination threshold because the resident is not going out in the residential block because of sleeping. Conceivable. Therefore, the motion prediction device 21 preliminarily sets a time-out determination exclusion time zone for each section, and when the power consumption is less than the determination threshold within a range including this time zone, the corresponding time zone. Can be determined not to be out.

  Specifically, let us consider a case where it is possible to specify in advance from 1:00 am to 5:00 am as an outing determination exclusion time zone in a certain residential area. In this case, the motion prediction apparatus 21 determines that the resident is not out of the room from 1 am to 5 am unconditionally regardless of the amount of power consumption for the corresponding residential section.

  Furthermore, for example, when the power consumption between 11:00 pm and 2 am is less than the determination threshold, this time zone includes a part of the out-of-home determination exclusion time zone. . In such a case, the motion prediction apparatus 21 can determine that the time zone is not going out, including 11:00 PM to 1 AM, which is not included in the outage determination exclusion time zone.

  In this way, the motion prediction device 21 can identify which time zone is going out for each section based on the time-series data for one day. In addition, the motion prediction device 21 analyzes the time series data for one day for a certain number of days, and performs statistical processing such as averaging to identify the time zone when the user is going out from more data. You can also

  In addition, the movement prediction device 21 is used to specify the time zone when the user is out of the office by dividing it into seven groups for each day of the week, or separately for two groups from Monday to Friday. In addition, it can be grouped into several groups, and the time zone when going out can be specified for each group.

  Furthermore, the motion prediction device 21 performs optimum grouping for each section according to the characteristics of the building or the characteristics of each section, and sets the outing judgment exclusion time zone individually for each group. Is possible.

  Moreover, the motion prediction apparatus 21 estimates the number of enrolled persons in the section according to the magnitude of the power consumption amount by further classifying the time zone in which the power consumption amount is equal to or greater than the determination threshold value by a plurality of threshold values. It is also possible to do.

  In addition, the motion prediction apparatus 21 stores in advance the number of occupants for each section, and during a time period in which the power consumption is equal to or greater than the determination threshold, a person corresponding to the capacity is simply present. On the other hand, on the contrary, it can be simply assumed that the person corresponding to the capacity is out during the time period in which the power consumption is less than the determination threshold.

  In this way, the motion prediction device 21 determines the time zone during and outside the time period for each section from the time series data of the power information regarding each section acquired from the power information measurement system 30. The outing situation prediction data to be identified can be created. And in this going-out situation prediction data, the prediction of the number of enrolled persons in each section can be included for each time zone specified to be out or not out.

  On the other hand, the vehicle allocation plan prediction device 22 can appropriately read out-going situation prediction data stored in the movement prediction device 21 as the signal SG2 when planning the vehicle allocation plan.

Then, next, the vehicle allocation plan prediction apparatus 22 is demonstrated. The vehicle allocation plan prediction device 22 has the following three functions.
[Function 1] Vehicle allocation plan planning function based on outing situation prediction data [Function 2] Vehicle allocation plan planning function based on boarding result data [Function 3] Vehicle allocation plan correction function These functions will be described in detail below.

[Function 1] Vehicle allocation plan planning function based on outing situation prediction data The vehicle allocation plan prediction device 22 is a function for planning an elevator allocation plan based on the outing status prediction data for each section generated by the motion prediction device 21. have.

  For example, the vehicle allocation plan prediction device 22 determines which floor has the most seats or which floor does not need to be allocated based on the outing situation prediction data acquired from the motion prediction device 21. A vehicle allocation plan can be made based on the estimation result.

  The vehicle allocation plan prediction device 22 can also estimate the transition state of the future total number of occupants based on the going-out state prediction data, instead of the current total number of occupants on each floor. Therefore, paying attention to the transition of the outing situation prediction data obtained statistically, the number of people who go out will decrease in the whole building by pre-allocating to the floor where the number of people going out is expected to increase in the future. In the case of (that is, expected to return home), it can be dispatched to the entrance floor. In other words, the vehicle allocation plan prediction device 22 can make a vehicle allocation plan from the outing situation prediction data in a preset time width after the current time.

  In this way, the vehicle allocation plan prediction device 22 can create a vehicle allocation plan based on the outing situation prediction data acquired from the movement prediction device 21, and can output the vehicle allocation plan to the control device 5 as the signal SG3.

[Function 2] Vehicle allocation plan planning function based on boarding actual data The vehicle allocation plan prediction device 22 refers to the boarding actual data acquired as the signal SG5 from the control device 5, so that the estimation-based vehicle allocation plan designed as the function 1 is Separately, it has a function to generate a vehicle-based dispatch plan based on actual usage conditions. Here, the boarding record data is track record data for identifying the floor on which the user actually boarded the car after moving the car to the boarding floor by the car assignment control. Details will be described later. To do.

  The vehicle allocation plan prediction device 22 compares the estimated base vehicle allocation plan designed for each time zone based on the outing situation prediction data with the boarding result data in each time zone, so that the estimation base for each time zone is estimated. The validity of the vehicle allocation plan can be judged.

  For example, let us consider a case where a vehicle is allocated to the fifth floor based on an estimation-based vehicle allocation plan and actually corresponds to a hall call from the third floor even though the fifth floor is waiting in the open state. In this case, as a result, it should have been dispatched to the 3rd floor. Therefore, the vehicle allocation plan prediction device 22 can quantify the validity of the estimation-based vehicle allocation plan as a statistically calculated correct answer rate by accumulating such boarding result data.

As an example, it is assumed that the vehicle allocation plan prediction device 22 performs vehicle allocation to the fifth floor by an estimation-based vehicle allocation plan in a certain time zone for 10 days based on the same outing situation prediction data. Suppose that the boarding record data on each floor is as follows.
・ 50% ride on the 5th floor
・ After moving to the 4th floor, boarding 5%
・ 30% ride after moving to the 3rd floor
・ After moving on the second floor, boarding 5%
・ After moving on the 1st floor, boarding 10%

  When such boarding result data is obtained, the correct answer rate allocated to the fifth floor is 50%, and the fifth floor is the highest correct answer rate. However, the elevator requires less energy to move upward than to move downward when the car is empty. In the above-described example, it is expected that a correct answer rate of about 30% is obtained when the vehicle is allocated on the third floor.

  Therefore, the vehicle allocation plan prediction device 22 considers the waiting time or energy consumption of passengers for this time zone, and performs an estimation-based vehicle allocation plan based on the outing situation prediction data so that the vehicle is allocated to the third or fourth floor. Can be updated.

  That is, the vehicle allocation plan predicting device 22 makes a performance-based vehicle allocation plan by correcting the current vehicle allocation plan based on the actual vehicle allocation data in order to shorten the waiting time of passengers and reduce energy consumption. can do.

  It should be noted that the performance-based vehicle allocation plan formulated by the vehicle allocation plan prediction device 22 is not limited to one, and can be a plurality of plans. In the specific example described above, the vehicle allocation plan prediction device 22 can formulate two types of performance-based vehicle allocation plans when the fifth floor is corrected to the fourth floor and when the fifth floor is corrected to the third floor.

  In addition, the correct answer rate is not limited to a ratio in which the vehicle allocation floor and the boarding floor coincide with each other. Pay attention to the viewpoints that the upward movement requires less energy than the downward movement, the viewpoint of shortening the waiting time of passengers as a whole system, and the viewpoint of reducing the energy consumption as a whole system. It is also possible to add appropriate weight to the boarding record data related to the floor and add it to the calculation of the correct answer rate.

  In the following explanation, the vehicle allocation plan used for actual vehicle allocation is referred to as the current vehicle allocation plan, and the actual vehicle allocation plan formulated by correcting the current vehicle allocation plan in consideration of the actual vehicle allocation data, This is referred to as a new vehicle allocation plan. Further, the vehicle allocation plan prediction device 22 can calculate a new vehicle allocation plan by correcting the current vehicle allocation plan based on more boarding record data, thereby obtaining a statistically more appropriate vehicle allocation plan.

[Function 3] A function for correcting a vehicle allocation plan The vehicle allocation plan prediction device 22 creates a new vehicle allocation plan, and then refers to the boarding record data acquired as the signal SG5 from the control device 5, so that the current vehicle allocation plan and a new vehicle allocation plan are updated. It has a function of determining which of the vehicle allocation plans is more appropriate and updating the vehicle allocation plan to be transmitted to the control device 5.

  The vehicle allocation plan prediction device 22 has one or more actual results prepared by correcting the current vehicle allocation plan in consideration of the actual vehicle allocation data in the function 2 and the actual vehicle allocation plan transmitted as the signal SG3 to the control device 5. For each new vehicle allocation plan based on the base, the correct answer rate is calculated by referring to the actual boarding data obtained after the new vehicle allocation plan has been formulated as data for vehicle allocation plan evaluation. Then, the vehicle allocation plan prediction device 22 determines which vehicle allocation plan is most suitable from the correct answer rate calculated for each vehicle allocation plan.

  That is, the vehicle allocation plan prediction device 22 can quantitatively grasp the validity of the current vehicle allocation plan used for the current operation control from the correct answer rate regarding the current vehicle allocation plan.

  On the other hand, the vehicle allocation plan prediction device 22 is not used for the current operation control based on the correct answer rate regarding the new vehicle allocation plan, but the operation control is performed by employing one or more performance-based vehicle allocation plans. When this is assumed, the validity of the new dispatching plan can be grasped quantitatively.

  The vehicle allocation plan prediction device 22 determines that the current vehicle allocation plan is to be maintained while the current vehicle allocation plan has a higher correct answer rate than the new vehicle allocation plan, and does not update the vehicle allocation plan.

  On the other hand, if any of the new vehicle allocation plans has a higher correct answer rate than the current vehicle allocation plan, the vehicle allocation plan prediction device 22 controls the new vehicle allocation plan with the highest correct answer rate as a signal SG3. It transmits to the apparatus 5 and updates a dispatch plan.

  That is, the current allocation plan is referred to as allocation plan A, and the two new allocation plans obtained by correcting the actual allocation plan based on the actual boarding data are referred to as allocation plan B and allocation plan C, respectively. In this case, the vehicle allocation plan prediction device 22 calculates the correct answer rate using the boarding result data obtained after planning the vehicle allocation plans B and C, and the vehicle allocation plan having the highest correct answer rate among the vehicle allocation plans A to C. Is selected, and the selected dispatch plan is transmitted to the control device 5.

  If it is assumed that the vehicle allocation plan prediction device 22 selects the vehicle allocation plan B and transmits it as the signal SG3, then the vehicle allocation plan A that has been adopted until the previous time can also be adopted as a comparison target. In this case, if the vehicle allocation plan A becomes the vehicle allocation plan having the highest response rate by the subsequent evaluation of validity, it can be returned to the vehicle allocation plan A again.

Next, the control device 5 will be described. The control device 5 has the following two functions.
[Function 1] Vehicle allocation control function based on vehicle allocation plan [Function 2] Boarding result data generation function These functions will be described in detail below.

[Function 1] A vehicle allocation control function based on a vehicle allocation plan The control device 5 performs normal operation control in accordance with a car call and a hall call, and also refers to the vehicle allocation plan received from the vehicle allocation plan prediction device 22 and calls the car. And, when there is no hall call, the waiting floor (the dispatch floor) is selected and the dispatch control is performed. For example, in a situation where there is no car call and no hall call, the control device 5 receives a vehicle allocation plan indicating that the current time zone should be allocated to the 5th floor from the vehicle allocation plan prediction device 22. The car allocation control is executed by moving the car to the fifth floor and waiting in the open state.

  In addition, when the control device 5 is waiting on the 5th floor and there is a landing call from a floor other than the 5th floor, the control device 5 moves to the landing call floor after closing the door, and opens the passenger in the car after the door is opened. Get on and run the normal operation control.

[Function 2] Boarding Record Data Generation Function The control device 5 can determine that the user has boarded the car by using a photoelectric sensor provided on the car door. Here, the photoelectric sensor corresponds to the prediction result judging device 23 shown in FIG. Moreover, the detection result of the photoelectric sensor which is the prediction result judgment apparatus 23 corresponds to the signal SG4 shown in FIG.

  When the control device 5 moves to the fifth floor by the vehicle allocation control and stands by in the door open state, it is determined that the user has entered the car from the fifth floor by switching the on / off state of the photoelectric sensor. it can. Then, in this case, the control device 5 counts that the user gets on the fifth floor as a result of the vehicle allocation control on the fifth floor.

  On the other hand, the control device 5 moved to the 5th floor by the vehicle allocation control, and there was a call from the 3rd floor while nobody got on from the 5th floor even though it was waiting in the door open state. If this is the case, move the car to the third floor. After arriving on the third floor, the door is opened, and the on / off state of the photoelectric sensor is switched, so that it can be determined that the user has entered the car from the third floor. Then, in this case, the control device 5 counts that the user gets on the third floor instead of the fifth floor as a result of the vehicle allocation control on the fifth floor.

As described above, the control device 5 counts the relationship between the vehicle allocation floor by the vehicle allocation control and the actually boarded floor in the same time zone, and as an example, the function 2 by the vehicle allocation plan prediction device 22 The following boarding result data as used in the description of can be created.
・ 50% ride on the 5th floor
・ After moving to the 4th floor, boarding 5%
・ 30% ride after moving to the 3rd floor
・ After moving on the second floor, boarding 5%
・ After moving on the 1st floor, boarding 10%

  And the control apparatus 5 transmits the produced boarding performance data to the vehicle allocation plan prediction apparatus 22 as signal SG5.

  Although explanation is omitted, the signal SG6 in FIG. 2 will be supplementarily explained. This signal SG6 is a signal corresponding to a prediction correct / incorrect result fed back from the vehicle allocation plan prediction device 22 to the motion prediction device 21.

  The vehicle allocation plan prediction device 22 makes a vehicle allocation plan based on the outing situation prediction data acquired from the motion prediction device 21. On the other hand, the vehicle allocation plan prediction device 22 can acquire boarding result data for the vehicle allocation plan from the control device 5.

  For example, as for the outing situation prediction data in a certain time zone, although the section belonging to the second floor has many sections indicating going out and it is unlikely to be set as the dispatch floor, Suppose that In this case, the vehicle allocation plan prediction device 22 can transmit a prediction correct / incorrect result indicating that the vehicle has actually boarded from the second floor to the movement prediction device 21 as a signal SG6.

  On the other hand, the motion prediction apparatus 21 that has received the prediction correct / incorrect result can correct the out-of-home situation prediction data related to the second floor, for example, by lowering the determination threshold value of the power consumption in the corresponding time zone. Alternatively, the motion prediction device 21 can correct the power consumption pattern in each section on the second floor obtained by statistical processing in a direction in which the amount of consumption increases.

  As a result, the movement prediction device 21 can correct the going-out situation prediction data in a direction approaching the boarding result, based on the prediction correct / incorrect result fed back from the vehicle allocation plan prediction device 22.

  Next, a series of the above-described vehicle allocation control processing will be described using a flowchart. FIG. 3 is a flowchart relating to a series of vehicle allocation plan update processing executed in the elevator vehicle allocation planning system according to Embodiment 1 of the present invention.

  In step S <b> 301, the motion prediction device 21 generates outing state prediction data indicating the occupancy / outing state in each time zone for each section based on the power information.

  Next, in step S302, the vehicle allocation plan prediction apparatus 22 makes a vehicle allocation plan in the current time zone with reference to the outing situation prediction data corresponding to the current time zone. Furthermore, the vehicle allocation plan prediction device 22 transmits the planned vehicle allocation plan to the control device 5.

  Next, in step S303, the control device 5 determines a vehicle allocation floor in a state where there is no car call and no hall call based on the vehicle allocation plan received from the vehicle allocation plan prediction device 22, and executes vehicle allocation control. In this vehicle allocation control, the control device 5 waits in the door open state after moving the car to the vehicle allocation floor.

  On the other hand, although details are not described in the flowchart, as described above, when a landing call is received from another floor while waiting at the dispatch floor, the control device 5 performs door closing, landing call A series of movements to the floor and door opening are performed, and the user waits for the user to board on the floor where the hall is called.

  Next, in step S304, the control device 5 detects that the user has boarded the vehicle based on the detection result of the photoelectric sensor every time the vehicle allocation control to the vehicle allocation floor is executed. The boarding result data indicating the correspondence with the boarding floor is updated. And the control apparatus 5 transmits boarding performance data to a vehicle allocation plan prediction apparatus.

  Next, in step S305, the vehicle allocation plan prediction device 22 virtually creates a new vehicle allocation plan that matches the actual boarding situation by correcting the current vehicle allocation plan based on the boarding result data. Note that the vehicle allocation plan prediction device 22 does not limit the number of new vehicle allocation plans to one as described above, and can also create a plurality of new vehicle allocation plans.

  Next, in step S306, the vehicle allocation plan prediction device 22 determines each of the current vehicle allocation plan that has been transmitted to the control device 5 in step S302 and one or more new vehicle allocation plans virtually created in step S305. The correct answer rate is calculated based on the boarding result data after creating a new vehicle allocation plan.

  Next, in step S307, the vehicle allocation plan prediction device 22 evaluates which vehicle allocation plan is most appropriate based on the calculated correct answer rate. If the vehicle allocation plan prediction device 22 determines that the current vehicle allocation plan is most appropriate, the vehicle allocation plan prediction device 22 proceeds to step S308 and continues the current vehicle allocation control without transmitting the new vehicle allocation plan to the control device 5. Let

  On the other hand, if the vehicle allocation plan prediction device 22 determines that there is the most appropriate vehicle allocation plan among the one or more vehicle allocation plans virtually created, the vehicle allocation plan prediction device 22 proceeds to step S309, and determines the new optimal allocation plan. The dispatching plan is transmitted to the control device 5 to cause the control device 5 to execute a new dispatching control.

  Next, in step S310, the vehicle allocation plan prediction device 22 refers to the going-out situation data, and determines whether or not the current time is the update timing of the allocation plan based on the going-out situation data. If the vehicle allocation plan prediction device 22 determines that it is the update time, it returns to step S302, and if it is not the update time, it returns to step S304 and repeats the series of processes.

  If a sufficient amount of data as boarding result data has not been accumulated, the vehicle allocation plan prediction device 22 can maintain the current vehicle allocation plan without performing the processing of steps S305 to S307.

  As described above, the elevator dispatching planning system in the first embodiment can execute a series of processes as shown in FIG. 3 by having the configuration as shown in FIG. As a result, an elevator dispatch planning system and an elevator dispatch capable of performing elevator dispatch control using the result of movement prediction of the building occupant and performing highly convenient dispatch according to the behavior of the building occupant. A plan update method can be obtained.

  Further, the vehicle allocation control based on the motion prediction is not always as predicted. Therefore, the first embodiment further includes a function of feeding back an actual boarding result associated with the dispatching control, evaluating the validity of the prediction result, and updating to an appropriate dispatching plan based on the evaluation result. Yes.

  At the same time, since the number of data on boarding results is small and reliability is low at the beginning of operation, the vehicle allocation control based on motion prediction is first implemented, and when a sufficient amount of boarding data is accumulated, Then, a new vehicle allocation plan is virtually created by correcting the current vehicle allocation plan. And if it can be judged that the new vehicle allocation plan that is virtually planned is more suitable than the current vehicle allocation plan that is actually used for the boarding records collected after the new vehicle allocation plan is formulated The vehicle allocation plan is updated by a new vehicle allocation plan that is virtually prepared, and vehicle allocation control is executed.

  As a result, it is possible to realize a vehicle allocation control with further improved convenience in consideration of actual usage conditions, and to obtain an elevator vehicle allocation planning system and an elevator vehicle allocation plan updating method that reduce waiting time and improve operation efficiency. be able to.

  In the first embodiment described above, the motion prediction device 21, the vehicle allocation plan prediction device 22, and the control device 5 have been described as independent devices. However, it is also possible to adopt a device configuration that includes some functions in the form of one or two devices.

  Moreover, although the photoelectric sensor provided in the car was mentioned as an example of the prediction result judging device 23, a weight measuring device for measuring the weight of the car can be substituted for the prediction result judging device 23.

  In addition, instead of using hardware devices such as photoelectric sensors and weight measuring devices, users who boarded at the vehicle assignment floor made a car call in the car, or after moving from the vehicle assignment floor to other floors in response to the boarding call The control device 5 can also create the situation result data by identifying by software processing whether the user who has boarded on the other floor has made a car call in the car.

  Moreover, in Embodiment 1 mentioned above, after arriving at a dispatch floor, the case where it waits in a doorstep state was demonstrated. However, the present invention is not limited to such control, and can be applied to a case where the door is closed only by moving to the vehicle allocation floor, and the same effect can be obtained.

Claims (5)

By performing statistical processing on the power consumption pattern of each section of each floor in the residential building, a motion prediction device that generates outing state prediction data indicating the occupancy / outing situation in each time zone for each section,
Vehicle allocation for planning a vehicle allocation plan for causing an elevator to wait on an appropriate floor from the occupancy / exit status in a preset time width after the current time based on the going-out status prediction data generated by the motion prediction device A plan forecasting device;
A control device that executes vehicle allocation control of the elevator based on the vehicle allocation plan received from the vehicle allocation plan prediction device;
The control device collects boarding result data for identifying from which floor the user actually boarded after waiting on the vehicle assignment floor by the vehicle assignment control, and transmits the boarding result data to the vehicle assignment plan prediction device And
The vehicle allocation plan prediction device makes a new vehicle allocation plan for making the elevator stand by on a more appropriate floor by correcting the current vehicle allocation plan based on the boarding result data received from the control device. An elevator vehicle allocation planning system that transmits the new vehicle allocation plan to the control device and executes vehicle allocation control based on the new vehicle allocation plan. The vehicle allocation plan prediction device is a device that has already been transmitted to the control device in a stage after the new vehicle allocation plan is formulated and before the new vehicle allocation plan is transmitted to the control device. The vehicle allocation control in the vehicle allocation plan is continued, and the actual boarding result data obtained by the vehicle allocation control is acquired from the control device as data for vehicle allocation plan evaluation, and the current vehicle allocation plan is obtained based on the data for vehicle allocation plan evaluation. The first correct answer rate at which passengers get on the allocation floor is compared with the second correct answer rate at which passengers get on the allocation floor when it is assumed that the new allocation plan is used, and the second correct answer rate is When a value higher than the first correct answer rate is obtained, the new dispatching plan is transmitted to the control device, the dispatching control based on the new dispatching plan is executed, and the second correct answer is executed. Rate is the first If: answer rate, elevator dispatch planning system according to claim 1 to continue the dispatch control in the vehicle allocation plan of the current. The said dispatch plan prediction apparatus does not perform the planning process of the said new dispatch plan until the said boarding performance data reaches the statistical processing allowance for formulating the said new dispatch plan. The elevator dispatch planning system described. The vehicle allocation plan prediction device compares the vehicle allocation plan transmitted to the control device with the boarding result data acquired from the control device as a result of performing the vehicle allocation control based on the vehicle allocation plan. Determining the correctness of the outing situation prediction data generated by the motion prediction device, generating prediction correctness data, and transmitting the prediction correctness data to the motion prediction device,
The elevator allocation planning system according to any one of claims 1 to 3, wherein the movement prediction apparatus corrects the outing situation prediction data based on the prediction correctness data fed back from the allocation plan prediction apparatus. In the elevator control device, an elevator vehicle allocation plan updating method applied to execute vehicle allocation control in accordance with the behavior of the elevator user,
By performing statistical processing on the power consumption pattern of each section of each floor in the residential building, a movement prediction step for generating outing state prediction data indicating the occupancy / outing situation in each time zone for each section,
Vehicle allocation for planning a vehicle allocation plan for waiting an elevator on an appropriate floor from the occupancy / outing status in a preset time width after the current time based on the outing status prediction data generated by the motion prediction step A planned forecasting step;
An elevator control step for executing the vehicle allocation control of the elevator based on the vehicle allocation plan planned in the vehicle allocation plan prediction step;
With
The elevator control step includes:
A first step of collecting boarding result data for identifying the floor from which the user actually boarded after waiting on the boarding floor by the vehicle dispatching control;
A second step of developing a new vehicle allocation plan for making the elevator stand by on a more appropriate floor by correcting the current vehicle allocation plan based on the boarding result data;
A third step of continuing the vehicle allocation control in the vehicle allocation plan already in use in the elevator control step, and collecting the actual boarding result data by the vehicle allocation control as the vehicle allocation plan evaluation data;
Based on the vehicle allocation plan evaluation data, the first correct answer rate that passengers boarded on the vehicle allocation floor according to the vehicle allocation plan in use, and the passengers boarded on the vehicle allocation floor when the new vehicle allocation plan was used. When the second correct answer rate is compared, and the second correct answer rate is higher than the first correct answer rate, vehicle allocation control based on the new allocation plan is executed, and the second correct answer rate is An elevator dispatch plan updating method for continuing the dispatch control in the busy dispatch plan when the first correct answer rate is equal to or lower.

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