CN112978529A

CN112978529A - Congestion degree prediction display system, congestion degree prediction display method, and computer-readable medium

Info

Publication number: CN112978529A
Application number: CN202011248901.4A
Authority: CN
Inventors: 伊藤秀树; 三好雅则; 小池幸裕
Original assignee: Hitachi Building Systems Co Ltd
Current assignee: Hitachi Building Systems Co Ltd
Priority date: 2019-12-02
Filing date: 2020-11-10
Publication date: 2021-06-18
Anticipated expiration: 2040-11-10
Also published as: JP2021089454A; JP7280811B2; SG10202010315YA; CN112978529B

Abstract

The invention provides a congestion degree prediction display system, a congestion degree prediction display method and a computer readable medium. It is possible to appropriately study the prediction of the operation state and the prediction of the effect of the congestion countermeasure during the operation including the operation stop of the elevator such as an elevator. A plurality of operation plans related to operations including operation stoppage, such as update operations and maintenance operations, are prepared. Then, the degree of congestion when at least a part of the elevator is stopped according to each work plan is predicted by simulation based on the past operation state and traffic data. Then, the degree of congestion (503) of the plurality of pieces of planning information obtained by prediction is displayed on a screen (500).

Description

Congestion degree prediction display system, congestion degree prediction display method, and computer-readable medium

Technical Field

The invention relates to a congestion degree prediction display system, a congestion degree prediction display method, and a program.

Background

Elevators such as elevators must be subjected to appropriate maintenance work, repair work, and the like. During these operations, the operation of the elevator must be stopped for all days, or from several hours to about half a day, and the elevator cannot be used during the operation stop. Therefore, when performing maintenance inspection work or renewal of an elevator such as an elevator, a time zone or a week is selected in which operation is not hindered even if operation is stopped due to work in a building in which the elevator is installed.

When planning a work including an operation stop of an elevator, it is necessary to grasp the number of people and the flow of people in a building from the use of the building, tenant information on each floor, and the like, and select a time and a week that have little influence on the operation of other elevators in the same building, and to make a work plan.

For example, when considering the case of performing a renovation work in an office building, generally, the renovation work is often performed at night, on saturday, or on sunday because there are many users of the elevator in daytime on weekdays and few users in nighttime, saturday, or sunday. In addition, since the elevators to be constructed are separated from the group management control during the update construction, the number of available elevators is reduced, which causes congestion in the time zone in which the user increases, such as at the time of attendance and at noon break.

Therefore, even during the stop of the operation of the elevator, the operation state is monitored by a building management company or a maintenance company that performs maintenance of the elevator, and it is checked whether there is no problem in the congestion state due to the work. In addition, according to the congestion state obtained by monitoring, the operation information of the elevator is collected, data analysis is carried out, the setting change of the operation control of the elevator and the like is carried out timely, the congestion of the elevator car at each floor is alleviated, and the adjustment is carried out so that the optimal operation can be carried out.

Patent document 1 describes a technique of calculating the number of users at each floor from information of elevator car keys, sensors, and the like at each time zone, performing statistical processing on the number of users at different times of the week to estimate the number of users, and performing guidance display for avoiding congestion when the estimated number of users exceeds the maximum number of people to be transported, and then determining whether the estimated number of users exceeds the maximum number of people to be transported.

Patent document 1: japanese patent laid-open publication No. 2019-108189

Disclosure of Invention

In order to alleviate the congestion of the elevator during operation, it is necessary to collect operation data on site for a certain period of time, and to perform setting change so that the operation control of the elevator becomes an optimum state based on the cause of the data analysis. As described in patent document 1, the use time of the elevator by the users of a plurality of tenants is shifted backward (time shift) in a congested time zone such as a commute time and a noon break, thereby coping with congestion relief. However, it is not appropriate to study a planning stage in which the work itself is appropriate in which time zone, because conventional measures such as analysis and timing errors are performed at a stage at which the date and time of the work are basically determined.

The invention aims to: provided are a congestion degree prediction display system, a congestion degree prediction display method, and a program, which can suitably perform the research of the prediction of the operation state and the prediction of the effect of congestion countermeasures in the operation period including the operation stop of an elevator such as an elevator.

In order to solve the above problem, for example, the structure described in the claims is adopted.

The present application includes a plurality of solutions to the above-described problems, but if one example is mentioned, the present application is a congestion degree prediction display system that predicts and displays a congestion degree when a plurality of installed elevators perform a job, the congestion degree prediction display system includes: a main information storage unit that stores information relating to the elevator; a job scheduling information storage unit that stores a plurality of scheduling information of jobs; a collected data storage unit for storing data of the number of users of the elevator; an operation simulation unit that predicts, by simulation, a degree of congestion of the elevator for each piece of plan information when at least a part of the elevators indicated by the information stored in the main information storage unit is stopped by a job in the plurality of pieces of plan information stored in the job plan information storage unit; and an operation status screen generating unit that generates a display screen for presenting the degree of congestion of the plurality of planning information predicted by the operation simulation unit.

According to the present invention, it is possible to simulate the prediction of the number of users of the elevator and the prediction of the congestion state during the operation of the elevator including maintenance inspection for operation stoppage, renewal construction, and the like, in various ways by changing the conditions, and to set an appropriate operation period.

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

Drawings

Fig. 1 is a block diagram showing an example of the configuration of a data center according to an embodiment of the present invention.

Fig. 2 is a block diagram showing a building-side configuration example according to an embodiment of the present invention.

Fig. 3 is a block diagram showing an example of a hardware configuration of a data center according to an example of the embodiment of the present invention.

Fig. 4 is a flowchart showing a flow of display processing according to an example of the embodiment of the present invention.

Fig. 5 is a diagram showing an example of a display screen (construction plan selection screen) according to an embodiment of the present invention.

Fig. 6 is a diagram showing an example of a display screen (entire congestion degree prediction screen) according to an embodiment of the present invention.

Fig. 7 is a diagram showing an example of a display screen (a detailed congestion degree prediction screen) according to an embodiment of the present invention.

Fig. 8 is a diagram showing an example of a display screen (a congestion degree prediction screen in the case where some users are shifted) according to an embodiment example of the present invention.

Fig. 9 is a diagram showing an example of a display screen (a comparison screen of the estimated construction amount) according to an embodiment of the present invention.

Fig. 10 is a diagram showing an example of a display screen (a search screen for maintenance scheduling) according to a modification of the present invention.

Detailed Description

An embodiment example of the present invention (hereinafter referred to as "the present example") will be described below with reference to the drawings.

[ Structure of data center ]

Fig. 1 shows a configuration of a data center 4 included in the congestion degree prediction display system of the present example.

The data center 4 collects information from the group management elevators 5 installed in the building and the traffic monitoring devices 6 that measure users of the group management elevators 5, predicts the degree of congestion at the time of each work, and transmits the prediction result to the portable terminal 3. The group management elevator 5 is composed of a plurality of elevators. Here, the work for predicting the degree of congestion includes various works performed by stopping the elevator, such as a refresh work (refresh work) for refreshing a part or all of the elevator, and a maintenance inspection work performed periodically or aperiodically. In the following example, the case of the update job is described.

The portable terminal 3 is a terminal held by the operation-related person 1 such as a salesperson or a technician related to the elevator. The mobile terminal 3 is applicable to a tablet terminal, a smart phone, a notebook personal computer, and the like, has a function of communicating with the data center 4, and is provided with a display unit for displaying information received from the data center 4. In fig. 1, the configuration of the mobile terminal 3 is omitted. The operation-related person 1 such as a salesperson or a technician consults a customer 2, which is a manager of the building in which the group management elevator 5 is installed, on the basis of the information displayed on the mobile terminal 3.

The data center 4 includes a server processing unit 10, an elevator operation simulation unit 20, a collected data storage unit 30, a building master information storage unit 40, an elevator operation plan information storage unit 50, an updated construction estimate information storage unit 60, a communication unit 70, and an operation traffic data collection unit 80.

The server processing unit 10 includes an elevator operation state screen generation unit 11 and an information retrieval unit 12.

The elevator operation status screen generation unit 11 generates information of a display screen of the congestion status based on a result of the simulation performed by the elevator operation simulation unit 20 (operation status screen generation processing). Then, the information of the display screen generated by the elevator operation status screen generation unit 11 is transmitted to the mobile terminal 3. Fig. 5 and the following illustrate an example of a display screen of a result of the simulation performed by the elevator operation simulation unit 20.

For example, the information is transmitted from the server processing unit 10 to the mobile terminal 3 using a wireless telephone line.

The information retrieval unit 12 retrieves and acquires information necessary for the simulation by the elevator operation simulation unit 20 from the

storage units

30, 40, 50, and 60.

The elevator operation simulation unit 20 performs operation simulation processing for simulating elevator operation based on the information retrieved by the information retrieval unit 12, and estimates the degree of congestion based on the number of users obtained by the simulation.

The collected data storage unit 30 includes an elevator operation information storage unit 31 and a traffic monitoring information storage unit 32, and performs collected data storage processing.

That is, the elevator running information storage unit 31 stores the information of the running states of the group management elevators 5 collected by the communication unit 70 via the running traffic data collection unit 80.

The traffic monitoring information storage unit 32 stores traffic information, which is information on the number of elevator users collected by the communication unit 70 and acquired via the traffic data collection unit 80.

The building master information storage unit 40 stores master information such as the type and format of each elevator constituting the group management elevator 5, the number of floors, and the number of elevators (master information storage processing).

The elevator operation plan information storage unit 50 stores a plurality of operation plans (operation plan information storage processing) when performing an operation (update operation) of the group management elevator 5. The operation plan information stored in the elevator operation plan information storage unit 50 is created by the construction information creation terminal 7, and is a plurality of operation plans in which at least any one of the day (week) of performing the operation, the time period of performing the operation, and the number of car operators performing the operation at the same time is different.

The updated construction estimated information storage unit 60 stores the estimated amount of money required for the work for each piece of work plan information stored in the elevator work plan information storage unit 50. For example, the estimated amount of money stored in the updated estimated construction information storage unit 60 is acquired from the construction information creation terminal 7.

[ Structure of side of building ]

Fig. 2 shows the group management elevators 5 and the traffic monitoring facility 6, which are the structures on the building side where the traffic data collection unit 80 of the data center 4 collects information.

The group management elevator 5 includes a plurality of (a plurality of) elevators 101a to 101n (n is an integer corresponding to the number of) and controls the operation of the plurality of elevators 101a to 101n by the group management elevator control unit 102. The operation control of the plurality of elevators 101a to 101n by the group management elevator control unit 102 may be performed in a case where a plurality of elevators are controlled collectively as one or a plurality of groups or in a case where a plurality of elevators are controlled individually. The group management elevator control unit 102 performs control to stop the operation of the elevator when performing an update operation or a maintenance operation for any one or more of the plurality of elevators 101a to 101 n.

The operation conditions of the elevators 101a to 101n of each machine controlled by the group management elevator control unit 102 are stored in the operation data storage unit 104.

The operation data stored in the operation data storage unit 104 is transmitted to the data center 4 via the communication unit 103.

The traffic monitoring device 6 includes, as sensors for monitoring traffic of the elevator, an elevator car camera 201 installed in an elevator car of each floor, an in-car camera 202 installed in a car of each elevator, and a traffic monitoring device 203. The elevator car camera 201 and the in-car camera 202 acquire the number of people at each shooting position by analyzing the captured images. The people flow monitoring device 203 is a device that directly counts the number of passing people such as a security gate.

The traffic monitoring data, which is the information on the number of people obtained by the elevator car camera 201, the in-car camera 202, and the traffic monitoring device 203, is stored in the traffic monitoring data storage unit 211. The person flow monitoring data stored in the person flow monitoring data storage unit 211 additionally stores the date (week), time period, and the like at which the data was acquired.

Further, the people flow monitoring data stored in the people flow monitoring data storage 211 is transmitted to the data center 4 via the communication unit 212.

Further, it is not necessary to transmit the operation data of the elevator stored in the operation data storage unit 104 and the traffic monitoring data stored in the traffic monitoring data storage unit 211 to the data center 4 in real time. For example, the operation data and the traffic monitoring data for a certain period of time, such as 1 month or several months, may be collectively transmitted to the data center 4. In this case, the operation data and the traffic monitoring data may be recorded in a recording medium such as a memory card, and the recording medium may be transmitted to the data center 4.

[ hardware configuration of data center ]

Fig. 3 shows an example of the hardware configuration of the data center 4.

The data center 4 is constituted by a computer that performs information processing.

The data center (computer) 4 shown in fig. 3 includes a CPU (Central Processing Unit)301, a ROM (Read Only Memory) 302, and a RAM (Random Access Memory) 303, which are connected to a bus, respectively. The data center 4 includes a nonvolatile memory 304, a network interface 305, an input unit 306, and a display unit 307.

The CPU301 is an arithmetic processing unit that reads out and executes program codes of software for executing the prediction processing and the screen generation processing of the data center 4 from the ROM302, and functions as a control unit.

Variables, parameters, and the like generated during the arithmetic processing are temporarily written in the RAM 303.

As the nonvolatile memory 304, a large-capacity information storage unit such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive) is used. The nonvolatile memory 304 stores a program for executing the prediction function executed by the data center 4 and data stored in the storage units 30 to 60.

For example, a NIC (Network Interface Card) or the like is used for the Network Interface 305. The network interface 305 transmits and receives various information to and from the outside (the mobile terminal 3, the group control elevator 5, the traffic monitoring device 6, and the like).

The input unit 306 performs input processing of various kinds of information necessary in accordance with settings of the data center 4 and the like.

The display unit 307 displays the operation status of the data center 4. Further, the screen generated by the elevator operation status screen generation unit 11 may be displayed on the display unit 307.

The data center 4 is provided with the input unit 306 and the display unit 307, for example, and the data center 4 may be configured without the input unit 306 and the display unit 307.

The data center 4 is an example of a computer shown in fig. 3, and may be configured by a device for performing arithmetic processing other than a computer. For example, part or all of the functions performed by the data center 4 may be implemented by hardware such as an FPGA (Field Programmable Gate Array) or an ASIC (Application Specific Integrated Circuit).

[ flow of processing for creating display screen by data center ]

Fig. 4 is a flowchart showing a flow of processing performed by the data center 4 of the present example.

The flow of the process shown in fig. 4 is a flow of the process in which the person 1 (salesperson or technician) having the portable terminal 3 confirms the degree of congestion of each work plan (plan) at the time of the elevator renewal operation through the portable terminal 3, thereby making an investigation with the customer 2.

First, the work related person 1 selects an elevator to be updated on the screen of the portable terminal 3 (step S1). In the update construction plan selection screen 400 of the elevator in fig. 5, the elevator to be updated is selected. That is, on the updated construction plan selection screen 400 of the elevator shown in fig. 5, an updated construction target elevator selection field 401 is displayed, and all elevators in the target building are displayed in a list in the updated construction target elevator selection field 401.

Here, the work related person 1 selects a car of an elevator for which the update construction is to be performed, among the elevators displayed in the update construction target elevator selection field 401. Here, when selecting an elevator, a plurality of elevators can be selected at the same time. When a plurality of machines are simultaneously selected, a congestion degree prediction process is performed when a plurality of update works are executed.

Next, the work related person 1 selects a renewal construction type desired by the customer 2 on the screen of the portable terminal 3. For example, the work related person 1 selects any one of the control update, the quasi-removal update, and the full-removal update displayed in the update construction type selection field 402 of the update construction plan selection screen 400 for the elevator. The control update is a task of updating a control device of the elevator and the like. The quasi-dismantling renewal is an operation of renewing a part of a rope, a control device, and the like of the elevator. The total removal and replacement is a work of removing the entire elevator and replacing it except for a part of structures such as guide rails.

Then, the work related person 1 presses the search key 403 on the updated construction plan selection screen 400 of the elevator to perform the search of the data center 4 (step S2).

If there is a search instruction regarding the updated construction plan of the elevator on the screen, the data center 4 searches for the construction plan of the car and the type of construction selected on the screen from the information registered in advance in the elevator operation plan information storage unit 50. For example, the information retrieval unit 12 of the server processing unit 10 performs the retrieval in the data center 4. Then, a list of the updated construction plans searched for in the data center 4 is displayed on the screen of the mobile terminal 3 (step S3).

For example, a list of the retrieved updated construction plans is displayed in an updated construction plan selection field 404 of the updated construction plan selection screen 400 of the elevator shown in fig. 5. For example, the display screen is created by the elevator operation status screen generating unit 11 of the server processing unit 10.

In the example of fig. 5, a list of project names, construction periods, construction days, and project contents is displayed as an updated construction project selection field 404. As the contents of the plan, details such as construction performed all day, construction performed on weekday nights and saturday days, construction performed on weekday daytime, and construction performed on saturday are shown. The plan displayed in the updated construction plan selection field 404 is based on the information registered in the elevator operation plan information storage unit 50, but the construction period display field 405 may be configured so that the operation-related person 1 can change (input) the operation start date and the operation end date while listening to the desire from the customer 2.

Then, the work related person 1 updates the construction plan selection field 404, selects one or more plans of the predicted operation conditions, and presses an operation condition prediction button 406.

In addition, a rough estimation calculation button 407 and an end button 408 for calculating a rough estimation of the selected plan are displayed on the updated construction plan selection screen 400 of the elevator.

When the operation condition prediction button 406 is pressed, the elevator operation simulation unit 20 of the data center 4 predicts the degree of congestion when the designated construction is executed and the elevator of the corresponding machine stops during construction. When the degree of congestion is expected, the elevator operation simulation unit 20 uses the past operation information stored in the elevator operation information storage unit 31 of the collected data storage unit 30 and the past traffic information stored in the traffic monitoring information storage unit 32.

For example, the elevator operation simulation unit 20 obtains average traffic information of the same week and time period in a certain past period from the collected data storage unit 30, and estimates the number of users of each machine operating during the work period when each pattern of construction is executed. Then, the elevator operation simulation unit 20 calculates the congestion degree of the entire group management elevator for each time zone based on the estimated number of users. Then, the predicted number of users and the result of the degree of congestion are displayed on the screen of the mobile terminal 3 (step S4).

For example, the during-construction-time-update-construction-period operation state prediction screen 500 of the elevator shown in fig. 6 is displayed on the screen of the mobile terminal 3. For example, the display screen is created by the elevator operation status screen generating unit 11 of the server processing unit 10.

In the elevator during-construction-period-for-update-operation-state prediction screen 500 shown in fig. 6, a construction implementation time period display field 501, an elevator user number display field 502, a congestion degree prediction table 503, a congestion degree threshold value 504, a date selection field 505, and a construction plan selection field 506 are displayed. In addition, in the elevator in-construction work progress prediction screen 500, a work progress button 507 and a return button 508 are displayed for each time slot. Here, the congestion degree threshold 504 is a threshold for determining a very congested state such as a state in which the number of passengers in the car of the elevator is full. That is, the congestion degree exceeding the congestion degree threshold 504 is undesirable.

As shown in fig. 6, the congestion degree prediction table 503 displays all the construction plans selected in the updated construction plan selection field 404 of the updated construction plan selection screen 400 in fig. 5 so as to be distinguishable from each other. Specifically, 3 congestion degree predictions of the a-plan, the B-plan, and the C-plan are displayed in a superimposed manner on one congestion degree prediction table 503.

The congestion degree prediction table 503 is also displayed to refer to the congestion degree when no construction (work) is performed, that is, when all the machines are operated. Thus, the updated construction period operation state prediction screen 500 can compare the degree of congestion for each updated construction plan with the degree of congestion at a normal time (before construction is performed).

In the example shown in fig. 6, the congestion degree predictions of a plurality of plans (plans a, B, and C) are displayed in a superimposed manner on one congestion degree prediction chart 503, but charts for respective plans may be displayed side by side on the screen.

Returning again to fig. 4, the description will be made. The work related person 1 who has viewed the updated construction period operation state prediction screen 500 in fig. 6 determines whether or not there is a plan that exceeds the congestion degree threshold 504 and whether or not there is an effect on the operation of the elevator during construction (step S5).

If the recipe does not exceed the congestion degree threshold 504 in step S5 (no in step S5), the work related person 1 further determines whether or not to confirm another recipe (step S10). If another plan is confirmed in step S10 (yes in step S10), the process returns to the elevator selection in step S1, and prediction and display of another plan are performed.

If the congestion degree threshold 504 is exceeded in step S5 (yes in step S5), the work related person 1 presses the time zone operation status key 507 for updating the during-construction operation status prediction screen 500, and shifts the screen displayed on the mobile terminal 3 to the operation status prediction display screen for the construction time zone (step S6).

Fig. 7 shows a time-interval-based operation condition prediction screen 600 in elevator renewal construction.

In the current-time-period-based operation status prediction screen 600 in the elevator update operation, a current-time-period-based user number transition 601, a congestion degree display field 602, a congestion degree prediction table 603, a congestion degree threshold 604, and user number tables 606 and 607 are displayed. The user number tables 606, 607 are 12: 00-13: 00 user count for this time period chart 606, 13: 00-14: 00 user count for this time period chart 607. In addition, on the time zone-by-time operation status prediction screen 600 in the elevator renewal construction, a shift target time zone selection field 608, a shift time width selection field 609, a shift number of people input field 610, a time shift operation prediction key 611, and a return key 612 are displayed.

In the example of fig. 7, the congestion degree deterioration period 605 indicates that the congestion degree threshold 604 is exceeded.

Here, by the operation-related person 1 viewing the time-interval operation state prediction screen 600 pressing the time-shift operation prediction key 611, the elevator operation simulation unit 20 of the data center 4 performs prediction of shifting the use time intervals of some users of the building (step S7).

Here, first, the work related person 1 looks at the time-slot user count transition 601 shown in fig. 7, and selects the user count chart 606 of the congested time slot by the shift target time slot selection field 608.

Next, the work related person 1 selects the time width of the shift from the shift time width selection field 609, and after inputting the number of persons to be shifted to the number-of-persons-to-be-shifted input field 610, selects the time shift operation prediction key 611. In the example of fig. 7, the offset time width selection field 609 can select 4 of 15 minutes, 30 minutes, 45 minutes, and 60 minutes, and the offset number of persons input field 610 can input an arbitrary number of persons.

Further, for the user to be subjected to the shift, the user in the target time zone may be randomly extracted by the elevator operation simulation unit 20, but the user at the specific floor may be subjected to the shift, or the user in the specific area of the specific floor may be subjected to the shift. Alternatively, the floor on which the group control elevator stops may be divided into a high floor and a low floor, and the number of users may be set to be different in time, or the number of people per floor, or the number of tenants who enter the elevator may be set. Here, the shift may be considered to be a case where the noon break time of the office on a specific floor is shifted by a predetermined time.

Fig. 8 shows an example of an elevator operation state prediction screen 700 for each updated construction time zone in a case where the use time zones of some users are shifted.

The display content of the elevator operation condition prediction screen 700 for each updated construction period shown in fig. 8 is basically the same as the operation condition prediction screen 600 for each period shown in fig. 7, except that 12: 00-13: 00 user count table 701 for this period is a table in which the user periods are reduced by staggering, 13: 00-14: 00 this time period user number chart 702 is a period in which the user is increased by staggering.

The congestion degree prediction table 703 before the time shift and the congestion degree prediction table 704 after the time shift are displayed in a superimposed manner. In the example of fig. 8, it is understood that the congestion degree prediction table 704 after the time shift is less than the congestion degree threshold 707. That is, it is expected that users are dispersed by time shifts.

As described above, according to this example, it is possible to specify a congested time zone such as a commute time or a lunch break, and to simulate an operation in which the specified number of users of the elevator in the time zone is shifted to a later (or earlier) time.

In the time-interval operation condition prediction screen 600 of fig. 7, it is preferable to input a value in the offset number input field 610 so that the number of users in the user number table 606 is averaged with the users in the user number table 607. However, depending on the time width set in the offset time width selection column 609, the time width may not be averaged properly. In this case, the time width of the shift time width selection field 609 is changed to another value on the time-interval operation state prediction screen 600 in fig. 7, and the operation simulation is executed again to set the optimum time width. The time width (minutes) may be directly input as a numerical value to the time set in the offset time width selection field 609.

Since the elevator operation state prediction screen 700 in fig. 8 shows that the operation state is being shifted by the update construction time period, the time shift operation prediction key 705 is displayed in a light color such as gray. Further, the display of fig. 7 and the like is returned to by pressing the return button 706 of the elevator in the update construction period operation status prediction screen 700.

The explanation is continued again returning to fig. 4. The work related person 1 who confirmed the shift effect on the elevator operation state prediction screen 700 for each update construction period in fig. 8 determines whether or not congestion is alleviated by the shift and there is no influence on the operation of the elevator (step S8).

If the deviation is still significant in step S8 (no in step S8), the work related person 1 and the customer 2 are questioned to reconsider the construction plan and plan (step S9), and the elevator selection in step S1 is returned to perform prediction and display of the reconsidered plan.

If the influence is eliminated by the shift in step S8 (yes in step S8), the work related person 1 further determines whether or not to confirm another recipe (step S10). If another plan is confirmed in step S10 (yes in step S10), the process returns to the elevator selection in step S1, and prediction and display of another plan are performed.

If no other plan is confirmed in step S10 (no in step S10), the work related person 1 instructs display of rough estimation, confirms the cost comparison result for each construction plan (step S11), and ends the process.

Fig. 9 shows an example of the updated estimated construction amount comparison screen 800 for the elevator displayed in step S11. The updated construction estimate amount comparison screen 800 is created by the elevator operation state screen creating unit 11 based on the updated construction estimate information stored in the updated construction estimate information storage unit 60. However, when the conditions such as the period of the update construction are changed by the flow of steps S1 to S10, the rough estimation under the changed conditions is displayed.

As shown in fig. 9, the updated estimated construction amount comparison screen 800 of the elevator has a construction plan estimated amount comparison table 801 and a return button 802.

The column of the construction plan estimated amount comparison table 801 displays the estimated amount of the payment for construction (work) for each plan. For example, when customer 2 has a request for presentation of rough estimation or the like, updated construction estimate amount comparison screen 800 of the elevator is displayed and presented to customer 2.

As described above, according to the system of the present example, when performing the update work of the elevator installed in the building managed by the customer such as the building management company or the building owner, it is possible to predict the congestion of the elevator at the time of the work in advance and present the prediction to the customer. In addition, even when a response for alleviating congestion is required based on the prediction, the number of people to be shifted and the time shift width are set after the time zone of congestion is specified, and the effect of alleviating congestion can be confirmed by simulating the operation change of the time shift of the user who performs the time zone.

Further, the estimated amount of money in the case where the update construction of the elevator is performed according to each of the plans can be calculated and displayed, and the construction plan can be presented to the customer appropriately.

[ modified examples ]

The present invention is not limited to the above embodiment examples, and includes various modified examples. For example, in the examples of fig. 5 to 8, the degree of congestion based on the work plan at the time of performing the renewal construction of the elevator is estimated. In contrast, the data center 4 may similarly estimate the degree of congestion in the case of work performed by stopping the elevator other than the update work.

For example, instead of the updated construction plan selection screen 400 shown in fig. 5, the data center 4 may create a maintenance work plan search screen 900 for the elevator shown in fig. 10 and perform a plan related to the maintenance work for the elevator in the same procedure.

The maintenance work plan search screen 900 for an elevator shown in fig. 10 includes a work start date and time selection field 901, a work end date and time selection field 902, a search key 903, a maintenance work plan list display field 904, an operating condition prediction key 905, and an end key 906.

Then, the work related person 1 presses the search button 903 after specifying the range in the work start date and time selection field 901 and the work end date and time selection field 902 of the maintenance work plan search screen 900. Thus, a list of maintenance jobs scheduled within a predetermined range is displayed in the maintenance job plan list display section 904. The operation of the elevator is temporarily stopped to perform the maintenance operation.

In a state where a list is displayed in the maintenance work plan list display field 904, the operation state prediction key 905 is pressed, and the operation state is shifted to a display screen of the degree of congestion at the time of each work in the list display. The display screen of the degree of congestion is the same as the screen at the time of update construction. In addition, when the date (week) and time zone on which the maintenance job is executed are selected, the estimated amount of money required for each of the selected maintenance jobs may be displayed.

Thus, in addition to the renewal work, the degree of congestion at the time of various works such as maintenance work performed by stopping the elevator can be predicted and displayed. When the process related to the maintenance operation plan is performed, the maintenance plan information is stored in the elevator operation plan information storage unit 50 of the data center 4.

In the embodiment and the modified examples described above, the degree of congestion during the update work and the maintenance work of the elevator can be compared, and the degree of congestion during the update work and the maintenance work of the elevator other than the elevator can be compared by the same processing. For example, the present invention can be applied to elevators such as escalators.

In the above embodiment example, the server processing unit 10 and the elevator operation simulation unit 20 provided in the data center 4 generate a screen of the operation status, transmit information of the display screen to the mobile terminal 3 held by the salesperson or technician, and display the result by the mobile terminal 3. On the other hand, the created screen may be displayed on a display device provided in the data center 4.

Alternatively, a program (software) for executing the processing of this example may be installed in the mobile terminal 3 held by a salesperson or a technician, the mobile terminal 3 may acquire each piece of information necessary for estimating the degree of congestion from the data center 4 side, and the mobile terminal 3 may perform the processing for estimating the degree of congestion and the processing for creating a display screen at the time of work.

The examples of the screens shown in fig. 5 to 10 are merely examples, and other forms of display screens are also possible. For example, although the elevator user number display field 502 is provided in the during-construction-time running state prediction screen 500 for an elevator shown in fig. 6, the elevator user number display field 502 may be omitted and only the congestion degree prediction table 503 may be displayed. The display form of the congestion degree prediction is an example of a graph showing the congestion degree for each time zone, and the congestion degree may be shown by characters or figures showing the states of large, medium, small, and the like for each time zone. Alternatively, the degree of congestion may be expressed by a numerical value such as a percentage.

The above embodiment examples are described in detail to explain the present invention easily and understandably, and are not necessarily limited to having all the configurations described.

In the above embodiment examples, the configuration of the apparatus or the system may be changed, and a part of the processing steps may be omitted or replaced without changing the main content of the present invention. Information such as a program for performing the operation mode switching process can be stored in a memory, a recording device such as a hard disk or an SSD (solid state drive), or a recording medium such as an IC card, an SD card, or an optical disc.

In addition, in the block diagrams of fig. 1 and 2, only control lines and information lines that are considered necessary for explanation are shown, and not necessarily all the control lines and information lines are shown on a product. It is also conceivable to connect virtually all structures to one another. In the flowchart shown in fig. 4, a plurality of processes may be executed simultaneously or the order of the processes may be changed within a range that does not affect the processing result.

Description of the symbols

1: work related personnel (salespersons, technicians); 2: a customer; 3: a portable terminal; 4: a data center; 5: group management elevators; 6: a people flow monitoring device; 7: a construction information making terminal; 10: a server processing unit; 11: an elevator running state picture generating part; 12: an information retrieval unit; 20: an elevator operation simulation part; 30: a collected data storage unit; 31: an elevator operation information storage unit; 32: a people flow monitoring information storage unit; 40: a building main information storage unit; 50: an elevator operation plan information storage unit; 60: an update construction estimation information storage unit; 70: a communication unit; 80: a traffic data collection unit; 101a to 101 n: an elevator; 102: a group management elevator control unit; 103: a communication unit; 104: an operation data storage unit; 201: a cab camera; 202: an in-car camera; 203: a people flow monitoring device; 211: a people flow monitoring data storage unit; 212: a communication unit; 301: a Central Processing Unit (CPU); 302: a ROM; 303: a RAM; 304: a non-volatile memory; 305: a network interface; 306: an input section; 307: a display unit; 400: updating a construction plan selection picture; 401: updating a construction object elevator selection bar; 402: updating the construction type selection column; 403: a retrieval key; 404: updating a construction scheme selection column; 405: a construction period display column; 406: an operating condition prediction key; 407: roughly estimating and calculating a key; 408: ending the key; 500: an elevator operation condition prediction picture during update construction; 501: a construction implementation time period display column; 502: an elevator user number display field; 503: a congestion degree prediction chart; 504: a congestion degree threshold; 505: a date selection field; 506: a construction scheme selection column; 507: operating status keys according to time periods; 508: returning to the key; 600: predicting a picture of the running condition of the elevator according to the updated construction time period; 601: the number of users is advanced according to the time period; 602: a congestion degree display section; 603: a congestion degree prediction chart; 604: a congestion degree threshold; 605: a congestion degree deterioration period; 606: a user number chart (12: 00-13: 00); 607: a user number chart (13: 00-14: 00); 608: a staggered object time period selection column; 609: staggering the time and amplitude selection column; 610: staggering the number of people input fields; 611: the time is staggered to use the prediction key; 612: returning to the key; 700: predicting a picture of the running condition of the elevator according to the updated construction time period; 701: a user number chart (12: 00-13: 00); 702: a user number chart (13: 00-14: 00); 703: congestion degree prediction tables (before time shift); 704: congestion degree prediction tables (after time shifts); 705: the time is staggered to use the prediction key; 706: returning to the key; 800: updating construction estimated amount comparison pictures of the elevator; 801: a construction plan estimated amount comparison table; 802: returning to the key; 900: a maintenance operation plan search screen for the elevator; 901: a job start date/time selection field; 902: a job end date and time selection field; 903: a retrieval key; 904: a maintenance operation plan list display section; 905: an operating condition prediction key; 906: and (6) ending the key pressing.

Claims

1. A congestion degree prediction display system that predicts and displays a congestion degree when a plurality of installed elevators perform work, the congestion degree prediction display system comprising:

a main information storage unit that stores information related to the elevator;

a job scheduling information storage unit that stores a plurality of scheduling information of the job;

a collected data storage unit for collecting and storing data of the number of users of the elevator;

an operation simulation unit that predicts, through simulation, a degree of congestion of the elevator for each piece of plan information when at least a part of the elevators indicated by the information stored in the main information storage unit is stopped by a job in the plurality of pieces of plan information stored in the job plan information storage unit; and

and an operation status screen generating unit that generates a display screen for presenting the degree of congestion of the plurality of planning information predicted by the operation simulation unit.

2. The congestion degree prediction display system according to claim 1,

at least one of the day of executing the job, the time period of executing the job, and the number of elevators for simultaneously executing the job is different for the plurality of schedule information,

the operation status screen generating unit generates a display screen on which the degree of congestion of each of the plurality of simulated planning information can be compared on one screen.

3. The congestion degree prediction display system according to claim 2,

transmitting a display screen of the degree of congestion of each of the plurality of pieces of planning information obtained by the operation simulation unit to a terminal held by a worker related to the job,

the degree of congestion of each of the plurality of simulated planning information is displayed on a screen of a display unit provided in the terminal.

4. The congestion degree prediction display system according to claim 3,

the operation simulation unit also predicts the degree of congestion of the elevator in a normal state without stopping the elevator by simulation, and presents the predicted degree of congestion in the normal state on the display screen generated by the operation status screen generation unit.

5. The congestion degree prediction display system according to claim 3,

among the plurality of pieces of schedule information stored in the job schedule information storage unit, the schedule information simulated by the operation simulation unit is selected in accordance with an instruction from the terminal.

6. The congestion degree prediction display system according to claim 3,

the congestion degree prediction display system includes: an estimated information storage unit that stores an estimated amount of money required for the job for each piece of the schedule information stored in the job schedule information storage unit,

the estimated amount of money for each job plan is displayed on a screen of a display unit provided in the terminal based on the information on the estimated amount of money stored in the estimated information storage unit.

7. The congestion degree prediction display system according to claim 1,

the operation simulation unit predicts and presents the degree of congestion of the elevator when the usage time period of the user on a part of the floor or a part of the area is shifted among the number-of-persons data stored in the collected data storage unit by simulation.

8. The congestion degree prediction display system according to claim 1,

the work schedule information stored in the work schedule information storage unit is schedule information of a work for renewing construction of the elevator or schedule information of a maintenance work of the elevator.

9. A congestion degree prediction display method for predicting and displaying a congestion degree when a plurality of installed elevators perform a job, the congestion degree prediction display method comprising:

main information storage processing for storing information on the elevator;

a job plan information storage process of storing a plurality of pieces of plan information of the jobs;

collecting data storage processing, collecting and storing data of the number of users of the elevator;

running simulation processing for predicting, by simulation, a degree of congestion of the elevator for each piece of plan information when at least a part of the elevators indicated by the information stored in the main information storage processing is stopped by a job in the plurality of pieces of plan information stored in the job plan information storage processing; and

and an operation status screen generation process of generating a display screen for presenting the degree of congestion of the plurality of planning information predicted by the operation simulation process.

10. A computer-readable medium storing a program for causing a computer to execute a process of predicting a degree of congestion when a plurality of elevators are installed to execute a job, the computer-readable medium comprising:

a main information storage step of storing information on the elevator;

a job plan information storage step of storing a plurality of pieces of plan information of the jobs;

a collected data storage step of collecting and storing data of the number of users of the elevator;

an operation simulation step of predicting, by simulation, a degree of congestion of the elevator for each piece of plan information when at least a part of the elevators indicated by the information stored in the main information storage step are stopped by a job in the plurality of pieces of plan information stored in the job plan information storage step; and

and an operation status screen generation step of generating a display screen for presenting the degree of congestion of the plurality of planning information predicted by the operation simulation step.