WO2023053290A1 - 監視制御装置、監視制御システムおよび監視制御方法 - Google Patents

監視制御装置、監視制御システムおよび監視制御方法 Download PDF

Info

Publication number
WO2023053290A1
WO2023053290A1 PCT/JP2021/035943 JP2021035943W WO2023053290A1 WO 2023053290 A1 WO2023053290 A1 WO 2023053290A1 JP 2021035943 W JP2021035943 W JP 2021035943W WO 2023053290 A1 WO2023053290 A1 WO 2023053290A1
Authority
WO
WIPO (PCT)
Prior art keywords
log
people
floors
room
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2021/035943
Other languages
English (en)
French (fr)
Japanese (ja)
Inventor
恭平 濱田
広泰 田畠
淳 井上
拓弥 橋口
仁 川▲崎▼
理子 ▲高▼橋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mitsubishi Electric Corp
Mitsubishi Electric Building Solutions Corp
Original Assignee
Mitsubishi Electric Corp
Mitsubishi Electric Building Solutions Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mitsubishi Electric Corp, Mitsubishi Electric Building Solutions Corp filed Critical Mitsubishi Electric Corp
Priority to PCT/JP2021/035943 priority Critical patent/WO2023053290A1/ja
Priority to JP2023544370A priority patent/JP7351044B2/ja
Publication of WO2023053290A1 publication Critical patent/WO2023053290A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B3/00—Applications of devices for indicating or signalling operating conditions of elevators

Definitions

  • the present disclosure relates to a supervisory control device, a supervisory control system, and a supervisory control method for monitoring and controlling an elevator system installed in a building.
  • Patent Document 1 Japanese Patent Application Laid-Open No. 2020-23375
  • Patent Document 2 an auto-lock door is installed on the entrance floor as a building facility, and by receiving a door unlock signal from the auto-lock door, from the entrance floor
  • Patent Document 1 Japanese Patent Application Laid-Open No. 2020-23375
  • a technology has been disclosed that enables an elevator control device to grasp in advance that an elevator will be used.
  • Patent Document 1 it is only possible to detect the use of elevators on specific floors in advance, and it is not possible to ascertain how crowded the platform is.
  • the present disclosure has been made in order to solve such problems, and its purpose is to appropriately grasp the congestion situation at the boarding area of each floor by using information on the elevator system and building equipment other than the elevator system. It is to provide technology that can
  • a monitoring control device monitors and controls an elevator system installed in a building.
  • the supervisory control device includes an acquisition unit, a prediction unit, and an output unit.
  • the acquisition unit acquires a log.
  • the prediction unit predicts, based on the log, the number of people waiting for the car at each landing of a plurality of floors on which the car of the elevator can stop.
  • the output unit outputs information based on the number of waiting people predicted by the prediction unit 131 to the elevator system.
  • the logs include a first log in which car operation information is recorded, a second log in which registration information of hall calls to the car is recorded, and a third log in which information on building equipment other than the elevator system is recorded. .
  • the third log includes operation information and location information of building equipment regarding exits from each room on a plurality of floors.
  • the prediction unit calculates the number of passengers who boarded the car from each landing of the plurality of floors.
  • the prediction unit predicts the number of people who have left each room on the plurality of floors based on the operation information and the layout information.
  • the prediction unit predicts the number of people waiting for each of the plurality of floors based on the number of people leaving and the number of passengers on each of the plurality of floors.
  • a supervisory control system includes a supervisory control device and an elevator system.
  • the supervisory control device can communicate with the elevator system and is installed at a location different from the building in which the elevator system is installed.
  • the elevator system changes the settings of the elevator system based on the change command output by the output unit.
  • the processing method is a method of monitoring and controlling an elevator system installed in a building.
  • the supervisory control method includes a step of acquiring a log, a step of predicting, based on the log, the number of people waiting for the car at each landing of a plurality of floors on which the car of the elevator can stop, and a waiting time predicted by the predicting step. and outputting the information based on the number of people to the elevator system.
  • the logs include a first log in which car operation information is recorded, a second log in which registration information of hall calls to the car is recorded, and a third log in which information on building equipment other than the elevator system is recorded. .
  • the third log includes operation information and location information of building equipment regarding exits from each room on a plurality of floors.
  • the step of predicting includes a step of calculating the number of passengers who boarded the car from the landing of each of the plurality of floors based on the first log and the second log, and predicting the number of people waiting for each of the plurality of floors based on the number of people leaving and the number of passengers on each of the plurality of floors.
  • FIG. 4 is a flowchart of main processing according to the first embodiment; 7 is a flow chart of the number of passengers calculation process according to the first embodiment; It is a figure explaining the call registration log which concerns on 1st Embodiment. It is a figure explaining the elevator operation log which concerns on 1st Embodiment. It is a figure explaining the number of passengers concerning a 1st embodiment. 7 is a flow chart of a process of predicting the number of people leaving the room according to the first embodiment; It is a figure explaining the equipment operation log which concerns on 1st Embodiment. It is a figure explaining the equipment layout information which concerns on 1st Embodiment. FIG.
  • FIG. 4 is a diagram for explaining the predicted number of people leaving the room according to the first embodiment
  • 7 is a flow chart of a process of predicting the number of people waiting (the number of people in a hall) according to the first embodiment; It is a figure explaining the prediction hall number of people (waiting number of people) concerning a 1st embodiment.
  • 9 is a flowchart of main processing according to the second embodiment
  • 10 is a flowchart of main processing according to the third embodiment
  • FIG. 14 is a flowchart of main processing according to the fourth embodiment
  • FIG. FIG. 14 is a flowchart of main processing according to the fifth embodiment
  • FIG. FIG. 14 is a flowchart of main processing according to the sixth embodiment
  • FIG. 12 is a flowchart of main processing according to the seventh embodiment;
  • FIG. 14 is a flowchart of main processing according to the eighth embodiment;
  • FIG. 14 is a flowchart of main processing according to the eighth embodiment;
  • FIG. 1 is a diagram illustrating an outline of a monitoring control system 1 according to the first embodiment.
  • FIG. 2 is a diagram showing an example of the hardware configuration of the monitoring control system 1 according to the first embodiment.
  • the supervisory control system 1 includes a supervisory control device 100 and building equipment such as an elevator system 30 (see FIG. 2) installed in a four-story building 10 .
  • the monitoring control device 100 is a device that monitors and controls the elevator system 30 .
  • the monitoring control device 100 is configured to be able to communicate with the elevator system 30.
  • a monitoring control device 100 is installed in a building 20 .
  • Building 20 is at a different location than building 10 where elevator system 30 is installed. Note that the monitoring control device 100 may be installed inside the building 10 .
  • the monitoring control system 1 includes various building facilities in addition to the elevator system 30. As shown in FIG. 2, in this embodiment, an entrance/exit management system 231, a lighting system 232, and an air conditioning system 233 are further provided as building equipment. Furthermore, the supervisory control system 1 includes a conference room management system 234 in addition to the building equipment. A conference room management system 234 is also installed in building 10 . Details of these facilities will be described later with reference to FIG. 3 and subsequent figures.
  • the monitoring control device 100 includes a CPU (Central Processing Unit) 111, a ROM (Read Only Memory) 112, a RAM (Random Access Memory) 113, a storage section 114, a communication interface 115, and an I/O interface 116. have. These are communicably connected to each other via a bus.
  • CPU Central Processing Unit
  • ROM Read Only Memory
  • RAM Random Access Memory
  • the CPU 111 comprehensively controls the entire monitoring control device 100 .
  • the CPU 111 develops a program stored in the ROM 112 in the RAM 113 and executes it.
  • the ROM 112 stores a program in which processing procedures for processing performed by the monitoring control device 100 are described.
  • the RAM 113 serves as a work area when the CPU 111 executes programs, and temporarily stores programs and data used when executing the programs.
  • the storage unit 114 is a non-volatile storage device, such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive).
  • the I/O interface 116 is an interface for the CPU 111 to connect with external equipment.
  • the CPU 111 can be connected to a display device 121 such as a display or an input device 122 such as a keyboard and a mouse via an I/O interface 116 .
  • the communication interface 115 controls communication with the elevator system 30, entrance/exit management system 231, lighting system 232, air conditioning system 233, and conference room management system 234.
  • the supervisory control device 100 can communicate with these systems (building equipment, etc.) via the communication interface 115 .
  • the elevator system 30 includes a control panel 50, cars 341 and 342, and 1F to 4F (also referred to as 1F to 4F) hall devices 222 to 224.
  • the control panel 50 has a group supervisory control device 200 and individual car control devices 201 and 202 .
  • the group management control device 200 has a CPU 211 , a ROM 212 , a RAM 213 and a communication interface 215 . These are communicably connected to each other via a bus.
  • the CPU 211 comprehensively controls the group supervisory control device 200 as a whole.
  • the CPU 211 develops a program stored in the ROM 212 in the RAM 213 and executes it.
  • the ROM 212 stores a program in which processing procedures for processing performed by the group supervisory control device 200 are described.
  • the RAM 213 serves as a work area when the CPU 211 executes the program, and temporarily stores the program and data used when executing the program.
  • the communication interface 215 controls communication with each car control device 201, 202, 1F to 4F hall devices 221 to 224, and the supervisory control device 100.
  • Group supervisory control device 200 can communicate with these devices via communication interface 215 .
  • the car controller 201 can communicate with the car 341 and controls the car 341 .
  • the per-car controller 202 can communicate with the car 342 and controls the car 342 .
  • each car control device 201, 202 also has a CPU, a ROM, a RAM, and a communication interface like the group supervisory control device 200.
  • FIG. 1 A block diagram illustrating an exemplary computing environment in accordance with the present disclosure.
  • the group management control device 200 controls the car 341 via the individual car control device 201 .
  • the group supervisory control device 200 controls the car 342 via the individual car control device 202 .
  • the group supervisory control device 200 controls 1F-4F hall devices 221-224 installed on the 1F-4F.
  • a hall call button is installed in each of the hall devices 221 to 224 on the 1st to 4th floors.
  • the group supervisory control device 200 acquires the hall call information and registers it.
  • Group supervisory control device 200 assigns either car 341 or car 342 to the registered hall call.
  • the group supervisory control device 200 assigns the car 341 to the hall call.
  • the group supervisory control device 200 issues a command to each car control device 201 so that the car 341 responds to the hall call.
  • the car 341 responds to the third floor up hall call.
  • the group supervisory control device 200 exchanges various information (signals) with the car control devices 201 and 202 and the hall devices 221 to 224 on the 1st to 4th floors.
  • these various types of information can be stored as logs.
  • the cars 341 and 342 can ascend or descend in the hoistway 351 and stop at each floor from 1F (first floor) to 4F (fourth floor).
  • a control panel 50 is installed in the machine room of the building 10 , and a group management control device 200 and the like are installed in the control panel 50 .
  • a card reader also referred to as “CR”: card readers 324a to 324d, etc.
  • CR card readers 324a to 324d, etc.
  • a card reader 324a is installed in the living room 314 on the fourth floor. At present, one person 374 is waiting for the car 341 at the landing 334 on the 4th floor. A card reader 323a is installed in the living room 313 on the third floor. In the living room 313, a person 363 is about to leave. At present, three people 373 are waiting for the car 341 at the landing 333 on the 3rd floor.
  • a card reader 322a is installed in the living room 312 on the second floor. At present, one person 372 is waiting for the car 341 at the landing 332 on the 2nd floor.
  • a card reader 321a is installed in the living room 311 on the first floor. At present, no one is waiting for the car 341 at the landing 331 on the 1st floor. Two people 381 are riding in the car 341 .
  • the monitoring control device 100 predicts the congestion situation (the number of people waiting) at each floor.
  • a crowded floor is set as a park floor (also referred to as a "waiting floor").
  • the 3rd floor is set as the park floor.
  • group supervisory control device 200 dispatches vehicles to the park floor. Specifically, group supervisory control device 200 issues a park command (standby command) to either car 341 or car 342 . For example, group supervisory control device 200 issues a parking command to a car that has finished responding to all hall calls and car calls. The car that receives the park command runs to the park floor (the third floor in the above example) and waits on the park floor.
  • a park command standby command
  • group supervisory control device 200 issues a parking command to a car that has finished responding to all hall calls and car calls.
  • the car that receives the park command runs to the park floor (the third floor in the above example) and waits on the park floor.
  • the park floor can be set for the first floor, and the park command is issued for one car.
  • the park command may be issued to a plurality of cars.
  • the group supervisory control device 200 is not limited to issuing a standby command (park command) to a car to wait on a floor for which a park floor has been set, but registers a hall call for that floor, A car may be assigned to a call. Also, in this case, a plurality of cars may be assigned to the hall call according to the state of congestion.
  • two cars are installed in the building 10, but the present invention is not limited to this, and one car may be installed, or three or more cars may be installed. good too.
  • one car control device instead of the group supervisory control device, one car control device communicates with one car and hall device, and the car control device communicates with the supervisory control device 100 .
  • FIG. 3 is a diagram explaining detection of a person by the entrance/exit management system 231 according to the first embodiment.
  • the entry/exit management system 231 is a system for managing entry/exit of each room on the first to fourth floors.
  • a person (employee of an office, etc.) who goes in and out of each living room has an ID card that can identify the individual.
  • An employee who has an ID card reads the ID card with a card reader (also called "CR") installed near the entrance of the room to unlock the door, enter the room, and exit the room. By reading an ID card with a card reader provided, the door is unlocked and the user leaves the living room.
  • a card reader also called "CR”
  • FIG. 3 shows a living room 313 on the third floor, a landing 333 on the third floor, and cars 341 and 342.
  • a card reader 323 a is installed near the doorway 361 (exit) in the living room 313
  • a card reader 323 b is installed near the doorway 362 (exit) in the living room 313 .
  • Card readers 323 c and 323 d are installed near the entrance to the living room 313 .
  • the left figure shows a person 363 unlocking the doorway 361 using the card reader 323a.
  • the right figure shows a person 373 who has left the doorway 361 after unlocking the doorway 361 using the card reader 323a and is waiting for the arrival of the car 341 or 342 at the hall 333 .
  • FIG. 4 is a diagram explaining detection of a person by the air conditioning system 233 according to the first embodiment.
  • the air conditioning system 233 includes thermal image sensors (thermal image sensors 423a-423d, etc.).
  • the thermal image sensor can detect a person passing within the detection range of the thermal image sensor (a method of detecting a person will be described later).
  • FIG. 4 shows a living room 313 on the third floor, a landing 333 on the third floor, and cars 341 and 342.
  • Thermal image sensors 423 a to 423 d included in the air conditioning system 233 are installed in the living room 313 .
  • a thermal image sensor 423a is installed near the doorway 361 (exit) in the living room 313, and a thermal image sensor 423b is installed near the doorway 362 (exit) in the living room 313.
  • the left diagram shows how a person 363 is detected by the thermal image sensor 423a.
  • the right figure shows a person 373 who has exited the doorway 361 after being detected by the thermal image sensor 423a and is waiting for the arrival of the car 341 or 342 at the landing 333 .
  • FIG. 5 is a diagram explaining detection of a person by the illumination system 232 according to the first embodiment.
  • the lighting system 232 includes human sensors (human sensors 523a to 523f, etc.).
  • the human sensor can detect a person passing through the detection range of the human sensor (a method of detecting a person will be described later).
  • FIG. 5 shows a living room 313 on the third floor, a landing 333 on the third floor, and cars 341 and 342.
  • Human sensors 523a to 523f included in the air conditioning system 233 are installed in the living room 313. As shown in FIG.
  • a human sensor 523a is installed near the doorway 361 (exit) in the living room 313, and a human sensor 523c is installed near the doorway 362 (exit) in the living room 313.
  • the left diagram shows how a person 363 is detected by the human sensor 523a.
  • the right figure shows a person 373 who has exited the doorway 361 after being detected by the human sensor 523a and is waiting for the car 341 or 342 to arrive at the landing 333.
  • FIG. 1 The left diagram shows how a person 363 is detected by the human sensor 523a.
  • the right figure shows a person 373 who has exited the doorway 361 after being detected by the human sensor 523a and is waiting for the car 341 or 342 to arrive at the landing 333.
  • the monitoring control system 1 may include one of the entrance/exit management system 231, the lighting system 232, the air conditioning system 233, and the conference room management system 234, or may include two or more of these systems. may be In the example of the first embodiment shown below, an example in which the lighting system 232 is used to predict the number of people waiting at the hall and to set the park floor will be described.
  • FIG. 6 is a diagram showing an example of a functional block diagram of the monitoring control system 1 according to the first embodiment.
  • the monitoring control device 100 includes a log recording unit 129 , an acquisition unit 130 , a prediction unit 131 , a generation unit 132 and an output unit 133 .
  • Log recording unit 129 generates a log and stores it in storage unit 114 .
  • Acquisition unit 130 acquires the log generated by log recording unit 129 from storage unit 114 .
  • the above logs include a first log, a second log, a third log, and a fourth log.
  • the first log (also called “elevator operation log") is a log in which car operation information (also called “car information”) is recorded.
  • the log recording unit 129 acquires information output from the individual vehicle control devices 201 and 202 and the group supervisory control device 200 and generates a first log.
  • the second log (also referred to as "call registration log”) is a log in which registration information (also referred to as "platform information”) of hall calls for cars is recorded.
  • the log recording unit 129 acquires information output from the 1st to 4th floor devices 221 to 224 and the group supervisory control device 200, and generates a second log.
  • the third log is a log that includes equipment operation logs and equipment layout information.
  • the third log is a log in which information on building facilities other than the elevator system 30 (the entry/exit management system 231, the lighting system 232, and the air conditioning system 233) is recorded.
  • the log recording unit 129 acquires information output by one or more of the entrance/exit management system 231, the lighting system 232, and the air conditioning system 233, and generates a third log.
  • the equipment operation log is the operation information of the building equipment related to exiting from each room on multiple floors (1st to 4th floors) where the car can be stopped.
  • the facility layout information is arrangement information of building facilities regarding exit from each room on a plurality of floors (1st to 4th floors).
  • the fourth log is a log in which information of the conference room management system 234 is recorded as facilities other than building facilities.
  • the log recording unit 129 acquires information output by the conference room management system 234 and generates a fourth log.
  • the log of the lighting system 232 is acquired as the third log, and the fourth log is not acquired.
  • the log recording unit 129 is configured to generate the log, but the configuration is such that various building equipment such as the group supervisory control device 200 generates the log, and the acquisition unit 130 acquires the log. You may
  • the flow of processing executed by the monitoring and control system 1 will be described below with reference to the flowchart.
  • the main process is a process executed by the acquisition unit 130, the prediction unit 131, the generation unit 132, and the output unit 133, and is a process of generating a change command to the elevator based on the acquired log and outputting the change command.
  • the group supervisory control device 200 changes the park floor setting based on the change command. Note that if there is no change in the park floor, the output unit 133 does not have to output the change command.
  • FIG. 7 is a flowchart of main processing according to the first embodiment.
  • the main process may be activated by, for example, operation of the input device 122 connected to the monitoring control device 100 by a maintenance person who maintains the elevator or a manager who manages the building.
  • the main process may be started at regular intervals (for example, every 1 day, every 3 days).
  • step is also simply referred to as "S".
  • the acquisition unit 130 acquires a log, and advances the process to S2.
  • the acquisition unit 130 acquires from the storage unit 114 the first and second logs based on the information from the group supervisory control device 200 and the third log based on the information from the lighting system 232 . It is assumed that the log recording unit 129 records a log in the storage unit 114 each time it acquires information from the group supervisory control device 200, the lighting system 232, and the like.
  • the prediction unit 131 selects each of the halls (halls 331 to 334 ) predicts the number of people waiting for the car.
  • the prediction unit 131 executes a process of calculating the number of passengers, and advances the process to S3.
  • the prediction unit 131 calculates the number of passengers who have boarded the car from each landing of a plurality of floors (1st to 4th floors) based on the first log and the second log. The process of calculating the number of passengers will be described later with reference to FIGS. 8 to 11.
  • FIG. 8 to 11 The process of calculating the number of passengers will be described later with reference to FIGS. 8 to 11.
  • the prediction unit 131 executes the process of predicting the number of people leaving the room, and advances the process to S4.
  • the prediction unit 131 based on the operation information and arrangement information of the lighting system 232 (human sensors 523a to 523f, etc.), exits from each room on a plurality of floors (1st to 4th floors). Predict how many people will leave.
  • the exiting number prediction processing will be described later with reference to FIGS. 12 to 15.
  • the prediction unit 131 executes the process of predicting the number of people waiting, and advances the process to S5.
  • the prediction unit 131 calculates the number of people waiting for each of the plurality of floors (1st to 4th floors) based on the number of people leaving and the number of passengers on each of the plurality of floors (1st to 4th floors). Predict.
  • the waiting number prediction processing will be described later with reference to FIGS. 16 and 17. FIG.
  • the generation unit 132 generates a command to change the setting of the elevator system 30 (park floor setting) based on the number of people waiting for each of the floors (1st to 4th floors), and executes the process. Proceed to S6. For example, in this example, when it is determined that the floor with the largest number of waiting people among the first to fourth floors is the third floor, a command is generated to set the park floor to the third floor.
  • the output unit 133 outputs a change command to the elevator system 30 as information based on the number of people waiting, and ends the process.
  • Park floor settings may vary depending on the time of day. For example, a command to set the park floor to the 3rd floor may be output during times when the 3rd floor is congested, and a command to set the park floor to the 1st floor may be output during times when the 1st floor is congested.
  • the elevator system 30 changes the settings of the elevator system 30 based on the change command output by the output unit 133 .
  • group supervisory control device 200 sets a park floor.
  • the group supervisory control device 200 sets the third floor as the park floor.
  • the group supervisory control device 200 transmits a command to the car 341 or the car 342 to wait on the third floor.
  • the group supervisory control device 200 sends a command to the individual car control device 201 to make the car 341 stand by on the third floor.
  • a command is sent to put the car 342 on standby on the 3rd floor.
  • the group supervisory control device 200 performs car allocation control so that one car stands by on the third floor.
  • FIG. 8 is a flow chart of the number of passengers calculation process according to the first embodiment.
  • FIG. 9 is a diagram illustrating a call registration log (second log) according to the first embodiment.
  • FIG. 10 is a diagram illustrating an elevator operation log (first log) according to the first embodiment.
  • FIG. 11 is a diagram for explaining the number of passengers according to the first embodiment.
  • Call registration log (second log) is a log in which registration information (platform information) of hall calls is recorded. As shown in FIG. 9, the call registration log is a log in which "call registration log ID”, “elevator ID”, “direction”, "floor” and “time” are recorded.
  • Plate call registration ID is a number assigned each time a platform call is registered.
  • Direction indicates the direction of the hall call.
  • Floor also called “floor” or “floor”)” indicates the floor where the hall call is registered.
  • “Time” indicates the time when the hall call was registered.
  • the "upward direction” will also be referred to as the "UP direction”
  • the “downward direction” will also be referred to as the "DN direction”.
  • "Upward hall call” is also called “UP call”
  • “downward hall call” is also called “DN call”.
  • an UP call registered on the 3rd floor is also written as “3rd floor UP call”.
  • the call registration log is accumulated.
  • the car 341 is assigned to the second floor hall call (2nd floor DN call). ing.
  • the car 341 is assigned to the upward hall call on the 3rd floor (3rd floor UP call). .
  • the "elevator operation log (first log)” is a log in which car operation information (car information) is recorded.
  • the elevator operation log is a log in which "elevator operation log ID”, “elevator ID”, "direction”, “floor”, “scale value”, “door state” and “time” are recorded. is.
  • Each car holds information (signal) about "direction”, “floor”, “weighing value”, and "door state” as the state of the car.
  • Direction indicates the traveling direction or planned traveling direction of the car.
  • a car has one of upward (UP direction), downward (DN direction), and non-directional (available) states.
  • Floor indicates the current position of the car (at which floor it is stopped or at which floor it is running).
  • Each cage is equipped with a weighing device. A weighing device can measure the total weight of the passengers in the car.
  • Weighting value indicates the total weight of the passengers in the car measured by the weighing device.
  • Door state indicates the state of the door.
  • the elevator operation log may be recorded, for example, each time the "door state” changes.
  • the "direction”, "floor”, “elevator ID”, “scale value”, and "door state” at the "time” when the "door state” changed are recorded together with the "elevator operation log ID”.
  • the record (A) whose elevator ID, direction, and floor match the call registration, door state "open", and the closest time after the call registration time is acquired from the elevator operation log, and the process proceeds to S13.
  • the car 341 is on the 1st floor and the door is open in the UP direction, and the weight value is "0 kg”.
  • the calculated number of passengers may be recorded as a log as shown in FIG. 11, for example. Every time the number of passengers is calculated in S15, a "passenger number ID” is assigned, and the "call registration log ID", "elevator ID”, "floor”, "passenger number” and "time” are recorded. Here, the door opening time is recorded as "time”.
  • the number of passengers in the car 341 on the first floor is calculated as one by the processing of S11 to S15.
  • FIG. 12 is a flowchart of the process of predicting the number of people leaving the room according to the first embodiment.
  • FIG. 13 is a diagram explaining an equipment operation log according to the first embodiment.
  • FIG. 14 is a diagram illustrating facility layout information according to the first embodiment.
  • FIG. 15 is a diagram for explaining the predicted number of people leaving the room according to the first embodiment.
  • the equipment operation log and equipment layout information are the equipment operation log and equipment layout information for the human sensors (such as the human sensors 523a to 523f) provided in the lighting system 232.
  • Human sensor ID is an ID for specifying each human sensor.
  • the “state” is “ON” when the human sensor detects a person, and “OFF” when the human sensor stops detecting the person.
  • “Time” is the time when the state became ON or OFF.
  • "human sensor ID”, "floor”, “room”, “coordinates”, and “attributes” are recorded as equipment layout information.
  • “Floor” indicates the floor on which the human sensor is installed.
  • “Room” indicates a room (living room) in which the human sensor is installed.
  • Coordinats indicates the position where the human sensor is installed in the living room as coordinates.
  • the living room on the third floor shown in FIG. 5 is the G room, and the position of the human sensor 523a in the G room can be identified by coordinates (100, 100). Also, since the human sensor 523a is installed near the entrance 361, the attribute is set to "entrance”.
  • the position of the human sensor 523c in room G can be identified by coordinates (200, 100). Also, since the human sensor 523c is installed near the window, the attribute is set to "window side”.
  • a record with a matching human sensor ID is acquired from the facility operation log, and the process proceeds to S23.
  • the duration of the ON state is obtained from the time of the ON record and the time of the next OFF record, and the process proceeds to S24.
  • human sensor ID "01001”
  • the difference from the time "2020/11/11 11:11:11” when the state turned ON to the time "2020/11/11 11:11:15" when the state turned OFF is "4 seconds”. Therefore, the duration of the ON state is 4 seconds.
  • "1" is calculated
  • FIG. 16 is a flowchart of the process of predicting the number of people waiting (the number of people at the hall) according to the first embodiment.
  • FIG. 17 is a diagram for explaining the predicted number of people in the hall (the number of people waiting) according to the first embodiment.
  • the number of people in the hall on the floor is updated to the number of people in the hall on the floor + the predicted number of people leaving the room, the predicted number of people in the hall is output together with the time, and the process proceeds to S41.
  • the number of people in the hall on the floor the number of people in the hall on the floor - the number of passengers is updated, and the estimated number of people in the hall is output together with the time. However, if the number of passengers on the floor is less than 0, it is set to 0 and the process proceeds to S41.
  • the floor is counted up and the process proceeds to S43.
  • the floor is set to the second floor by counting up.
  • the number of floors 2nd floor does not exceed the number of floors in the building, so the process returns to S31.
  • the process of predicting the number of people waiting ends.
  • a log regarding the number of waiting people calculated as described above may be recorded as shown in FIG. "Predicted boarding number ID" is assigned in the order of calculation, and "predicted departure time” of the log of the predicted number of passengers leaving or “time” of the log of the number of passengers is recorded as the "time”. In addition, the "estimated number of passengers" on each floor is recorded.
  • the floor with the largest number of people waiting is determined as the "park floor".
  • Park floor settings may vary depending on the time of day. For example, if the number of people waiting on the 2nd floor is the largest from 12:00 to 13:00, the park floor may be set to the 2nd floor from 12:00 to 13:00. If the number of people waiting on the 3rd floor is the largest from 18:00 to 19:00, the park floor may be set to the 3rd floor from 18:00 to 19:00. More precisely, the park floor may be changed every five minutes, or one floor may always be set as the park floor without being changed for each time slot. Also, even if it is the same day time zone, the setting of the park floor may be changed between weekdays and holidays.
  • the log of the air conditioning system 233 is used as the third log and the process of predicting the number of people leaving the room is performed.
  • a person can be detected from the distribution of heat in the thermal image obtained from the thermal sensor.
  • the process of detecting a person may be performed by the air conditioning system 233 or by the monitoring control device 100 .
  • the "state” is set to "ON” when a person is detected, and the “state” is set to "OFF” when the person is no longer detected.
  • "ID”, "status” and “time” are recorded in the same manner as the equipment operation log in FIG.
  • the facility layout information in FIG. 14 and the log of the predicted number of people leaving the room in FIG. 15 have the same configuration.
  • the log of the entrance/exit management system 231 is used as the third log and the process of predicting the number of people leaving the room is performed.
  • the ID card possessed by each person is read by a card reader near the exit, the number of people leaving the room is detected as 1.
  • "time" detection time
  • ID information in FIG. 14 has the same configuration.
  • the "time” is set as the "start time of leaving the room", and the "number of people leaving the room” is counted as "1" for each record.
  • the ID card information may be recorded in the equipment operation log. By doing so, it becomes possible to identify an individual.
  • the prediction unit 131 predicts each landing (1st to 4th floors) of a plurality of floors where the car can stop based on the first log (elevator operation log) and the second log (call registration log). The number of passengers who boarded the car from the car platform) is calculated.
  • the prediction unit 131 predicts the number of people leaving the rooms on the 1st to 4th floors based on the operation information and the arrangement information (third log) of the lighting system 232 .
  • the prediction unit 131 predicts the number of people waiting on the 1st to 4th floors based on the number of people leaving the room and the number of passengers on the 1st to 4th floors. By doing so, it is possible to appropriately grasp the congestion situation at the hall of each floor using the information of the elevator system and the building equipment other than the elevator system.
  • the generation unit 132 generates a setting change command (park floor setting) for the elevator system 30 based on the number of people waiting on the 1st to 4th floors. Specifically, the most crowded floor is determined as the park floor.
  • Output unit 133 outputs a change command to elevator system 30 . When changing the park floor for each time period, a change command is output to the elevator system 30 when the time period for changing the park floor comes.
  • the elevator system 30 (group control device 200) changes the setting of the park floor based on the change command.
  • the group supervisory control device 200 can set a busy floor as a park floor and dispatch a car to the busy floor.
  • the log of the lighting system 232 is the third log
  • the log of the entrance/exit management system 231 may be the third log
  • the log of the air conditioning system 233 may be the third log.
  • the acquisition unit 130 acquires the log of the lighting system 232 as the third log.
  • the log of the entrance/exit management system 231 is also acquired as the third log. Note that the log of the air conditioning system 233 may be used instead of the log of the lighting system 232 .
  • FIG. 18 is a flowchart of main processing according to the second embodiment.
  • the flowchart in FIG. 18 shows the processing from obtaining the log to estimating the number of people waiting.
  • the subsequent processing is the same as the processing of S5 and S6 (generation and output of change command) in the first embodiment, so the description is omitted here.
  • the acquisition unit 130 acquires the logs of the entry/exit management system 231 and the lighting system 232 as the third log, acquires the first and second logs (elevator logs), and proceeds to S102. proceed to
  • the prediction unit 131 executes the number of passengers calculation process, and advances the process to S103. This process is the same as the process of S2.
  • the prediction unit 131 obtains the operation information and layout of the lighting system 232 on the condition that the entrance/exit management system 231 detects that the user has left one of the rooms on the plurality of floors (1st to 4th floors). Based on the information, the number of people leaving the room from which leaving was detected is predicted, and the process proceeds to S104.
  • the number of people leaving the room "1" in room A on the first floor.
  • a predetermined period of time for example, 30 seconds
  • the number of people leaving the room count as 0. This is because even if the human sensor near the exit of the living room detects a person, the person does not necessarily leave the room.
  • the prediction unit 131 executes waiting number prediction processing, and ends the main processing. This process is the same as the process of S4.
  • the entrance/exit management system 231 checks whether or not the people actually left the room, thereby improving the prediction accuracy of the number of people leaving the room.
  • the acquisition unit 130 acquires the log of the lighting system 232 as the third log.
  • the log of the entrance/exit management system 231 is acquired as the third log.
  • FIG. 19 is a flowchart of main processing according to the third embodiment.
  • the flowchart in FIG. 19 shows the processing from obtaining the log to estimating the number of people waiting.
  • the subsequent processing is the same as the processing of S5 and S6 (generation and output of change command) in the first embodiment, so the description is omitted here.
  • the acquisition unit 130 acquires the log of the entry/exit management system 231 as the third log, acquires the first and second logs (elevator log), and advances the process to S202.
  • the entrance/exit management system 231 can identify individuals.
  • the ID card owner information is recorded in the third log along with the room exit time.
  • the prediction unit 131 executes the number of passengers calculation process, and advances the process to S203. This process is the same as the process of S2.
  • the prediction unit 131 detects individual exits based on the operation information and layout information of the entrance/exit management system 231, predicts the number of people leaving each floor, and advances the process to S204. Basically, the same process as in S3 is performed. If the number of people leaving the room is counted again, the latter should not be counted. This eliminates duplicate counts of the same person.
  • the prediction unit 131 executes waiting number prediction processing, and ends the main processing. This process is the same as the process of S4.
  • an individual may be identified by a combination of a smart phone and a BLE beacon.
  • the configuration may be such that the monitor control device 100 can acquire the ID information of the beacon read by the smartphone.
  • the beacon ID information is associated with the beacon position information.
  • the acquisition unit 130 acquires the log of the lighting system 232 as the third log.
  • the log of the entrance/exit management system 231 is acquired as the third log, as in the third embodiment.
  • FIG. 20 is a flowchart of main processing according to the fourth embodiment.
  • the flowchart in FIG. 20 shows the processing from obtaining the log to estimating the number of people waiting.
  • the subsequent processing is the same as the processing of S5 and S6 (generation and output of change command) in the first embodiment, so the description is omitted here.
  • the acquisition unit 130 acquires the log of the entrance/exit management system 231 as the third log, acquires the first and second logs (elevator log), and advances the process to S302.
  • the entrance/exit management system 231 can identify individuals.
  • the operation information also includes pattern information that defines behavior patterns for each individual after leaving the living room.
  • ID card owner information and pattern information are recorded in the third log along with the room exit time.
  • Pattern information information such as the probability that the owner of the ID card who has left the room moves between floors using stairs, the probability that the rest room is used, and the probability that the toilet is used is recorded.
  • the prediction unit 131 executes the number of passengers calculation process, and advances the process to S303. This process is the same as the process of S2.
  • the prediction unit 131 detects individual exits based on the operation information and layout information of the entrance/exit management system 231, predicts the number of people leaving each floor, and advances the process to S304.
  • duplicate counting of the same person is excluded by the same method as in the third embodiment.
  • the prediction unit 131 predicts the number of people heading to the hall out of the number of people leaving each of the plurality of floors, and advances the process to S305.
  • the prediction unit 131 predicts the number of people waiting for each of the plurality of floors based on the number of people heading to the halls of each of the plurality of floors and the number of passengers, and ends the main processing.
  • the number of waiting people can be predicted based on individual behavioral patterns, such as the probability of using stairs, rest rooms, or toilets, so the prediction accuracy of the number of waiting people can be improved.
  • the acquisition unit 130 acquires the log of the lighting system 232 as the third log.
  • the logs of the lighting system 232 and the air conditioning system 233 are acquired as the third log. Note that this is not restrictive, and logs of a plurality of building facilities may be acquired as the third log, and logs of other building facilities may be used.
  • FIG. 21 is a flowchart of main processing according to the fifth embodiment.
  • the flowchart in FIG. 21 shows the processing from log acquisition to prediction of the number of people waiting. Subsequent processing is the same as the processing of S5 and S6 (generation and output of change command) in the first embodiment, so description thereof will be omitted here.
  • the acquisition unit 130 acquires the logs of the lighting system 232 and the air conditioning system 233 as the third log, acquires the first and second logs (elevator logs), and advances the process to S402. .
  • the prediction unit 131 executes the number of passengers calculation process, and advances the process to S403. This process is the same as the process of S2.
  • the prediction unit 131 predicts the number of people leaving each floor based on the operation information and layout information of the lighting system 232 and the air conditioning system 233, and advances the process to S404.
  • the operation information and location information of the lighting system 232 are used when predicting the number of people leaving the room.
  • the operation information and location information of the air conditioning system 233 are used when predicting the number of people leaving the room.
  • the number of people leaving the room is predicted using the sensor closest to the exit.
  • the prediction unit 131 executes waiting number prediction processing, and ends the main processing. This process is the same as the process of S4.
  • the acquisition unit 130 acquires the first and second logs (elevator logs), and acquires the lighting system 232 log as the third log.
  • the acquisition unit 130 further obtains a fourth log (log of the conference room management system 234) in which information of the conference room management system 234 is recorded as equipment other than building equipment. get.
  • the flow of people generated by holding a conference such as the conference room ID that identifies the conference room, the floor where the conference room is located, the start time and end time of the conference, the number of participants, etc. Acquire information that can be grasped as a log.
  • FIG. 22 is a flowchart of main processing according to the sixth embodiment.
  • the flowchart in FIG. 22 shows the processing from obtaining the log to estimating the number of people waiting.
  • the subsequent processing is the same as the processing of S5 and S6 (generation and output of change command) in the first embodiment, so the description is omitted here.
  • the acquisition unit 130 acquires the log of the lighting system 232 as the third log, acquires the log of the conference room management system 234 as the fourth log, and obtains the first and second logs (elevator log). log), and the process advances to S502.
  • the prediction unit 131 executes the number of passengers calculation process, and advances the process to S503. This process is the same as the process of S2.
  • the prediction unit 131 predicts the number of people leaving each of the plurality of floors based on the operation information and arrangement information of the lighting system 232, and advances the process to S504. This process is the same as the process of S3.
  • the prediction unit 131 executes waiting number prediction processing, and advances the processing to S504. This process is the same as the process of S4.
  • the prediction unit 131 corrects the predicted number of people waiting for each of the plurality of floors based on the fourth log (log of the conference room management system 234), and ends the main processing.
  • the number of people waiting is corrected assuming that the number of participants in the meeting will head to the platform at the end of the meeting from the floor where the meeting room where the meeting was held is located.
  • the number of participants calculated by the prediction unit 131 plus the number of participants may be corrected as the number of participants waiting. If the lighting system 232 is installed in the conference room, the log of the conference room management system 234 may be used instead of the log of the lighting system 232 to predict the number of people leaving the conference room.
  • the log of the conference room management system 234 is used as the fourth log, it is not limited to this, and any log of facilities other than building facilities may be used.
  • it may be an event management system that manages the holding of events.
  • event management system information such as the venue (floor) where the event is held, the start time and end time of the event, etc. is acquired as a log so that the flow of people that occurs by holding the event can be grasped.
  • the monitoring control device 100 includes an acquisition unit 130, a prediction unit 131, a generation unit 132, and an output unit 133, as shown in FIG.
  • FIG. 23 is a diagram showing an example of a functional block diagram of the monitoring control system 1 according to the seventh embodiment.
  • the monitoring control device 100 further includes a correction section 134 .
  • the correction unit 134 corrects the number of people who have left the room predicted in the process of predicting the number of people who have left the room based on the information on the number of people who have left the room.
  • FIG. 24 is a flowchart of main processing according to the seventh embodiment.
  • the acquisition unit 130 determines whether or not the prescribed period has passed.
  • the defined period is a predetermined period (for example, one day, one week, one month, etc.).
  • the number of people waiting is periodically predicted, and a change command based on the prediction is output to the elevator.
  • the prediction of the number of waiting people and the command to change may be performed periodically. You can try not to break it.
  • the process proceeds to S602. If the obtaining unit 130 does not determine that the specified period has elapsed (NO in S601), the determination in S601 is performed again. As a result, the process of S602 is executed after the specified period has elapsed.
  • the acquisition unit 130 acquires logs for a predetermined period in the past, and advances the process to S603. Specifically, the acquiring unit 130 acquires the first and second logs, and acquires the log of the lighting system 232 as the third log.
  • the prediction unit 131 executes the number of passengers calculation process, and advances the process to S604. This process is the same as the process of S2.
  • the prediction unit 131 executes the process of predicting the number of people leaving the room, and advances the process to S605. This process is the same as the process of S3.
  • the correction unit 134 compares the number of people leaving each of the plurality of floors predicted by the prediction unit 131 and the actual number of people leaving the room corresponding to the number of people leaving the room in a certain period of time. The number of people leaving each of the plurality of floors is corrected to the corrected number of people leaving, and the process proceeds to S606.
  • time-series data of the actual number of people leaving each floor for a certain period of time for example, two weeks
  • time-series data of the number of people leaving each floor predicted by the prediction unit 131 during the above period is prepared. From the difference between the former and the latter, it is possible to grasp the error of the predicted number of people leaving the room with respect to the actual number of people leaving the room.
  • the rate of leaving the room is 70%
  • the predicted number of people leaving the room ⁇ 0.7 the actual number of people leaving the room.
  • the correction coefficient the rate of leaving the room (0.7)
  • the predicted number of people leaving the room ⁇ correction coefficient (0.7) corrected number of people leaving the room.
  • the exit rate may be calculated from the sum of the actual number of people leaving the room for a certain period of time/the predicted number of people leaving the room for a certain period of time.
  • the trend of errors may differ depending on the time of day or floor, so not limited to the above, based on the differences for each time period and floor, correct the predicted number of people leaving the room for each time period and for each floor. You may make it
  • the correction method is not limited to the above method, and any method may be used as long as it is a correction method that minimizes the error between the actual number of people leaving the room and the predicted number of people leaving the room.
  • correct data may be measured by installing some device (for example, a camera) at the exit of the room that can count the number of people leaving the room for a certain period of time.
  • correct data may be created by combining existing sensors, elevator operation data, and the like.
  • correct data may be created based on the number of passengers in each car. For example, in the example of FIG. 11, six people are boarding on the second floor at "2020/11/11 12:02:00", but there are no waiting times before "2020/11/11 12:02:00". Add 6 people to the number of people. Then, the number of waiting people may be reduced by one every time a predetermined time (for example, 10 seconds) goes back, and the increased number of waiting people may be equal to the number of people leaving the room.
  • a predetermined time for example, 10 seconds
  • the prediction unit 131 predicts the number of people waiting for each of the plurality of floors based on the corrected exiting number of people and the number of passengers on each of the plurality of floors, and advances the process to S607.
  • the generating unit 132 generates a setting change command (park floor setting) for the elevator system 30 based on the number of people waiting for each of the floors, and advances the process to S608. This process is the same as the process of S5.
  • the output unit 133 outputs a change command to the elevator system 30 as information based on the number of people waiting, and returns the process to S601. This process is the same as the process of S6.
  • the elevator system 30 changes the settings of the elevator system 30 based on the change command output by the output unit 133 .
  • the correction unit 134 compares the number of people leaving each of the floors predicted by the prediction unit 131 and the actual number of people leaving the room corresponding to the number of people leaving the room during a certain period of time. 131 corrects the exiting number of people on each of the plurality of floors predicted to the corrected exiting number of people.
  • the prediction unit 131 predicts the number of people waiting for each of the plurality of floors based on the corrected number of people leaving the room and the number of passengers on each of the plurality of floors. In this way, by correcting the number of people who have left the room based on the data of the actual number of people who have left the room, it is possible to improve the prediction accuracy of the number of waiting people.
  • the monitoring control device 100 includes an acquisition unit 130, a prediction unit 131, a generation unit 132, and an output unit 133, as shown in FIG.
  • FIG. 25 is a diagram showing an example of a functional block diagram of the monitoring control system 1 according to the eighth embodiment.
  • the monitoring control device 100 further includes a determination section 135 .
  • the determination unit 135 generates and outputs alert information when determining that the operation of the elevator system 30 is not efficient based on the first and second logs.
  • the supervisory control device 100 reviews the park floor setting.
  • the output alert information may be displayed on the display device 121 of the supervisory control device 100, or the group supervisory control device 200 may receive the alert information.
  • FIG. 26 is a flowchart of main processing according to the eighth embodiment.
  • the acquisition unit 130 acquires logs for a predetermined period in the past, and advances the process to S702. Specifically, the acquiring unit 130 acquires the first and second logs, and acquires the log of the lighting system 232 as the third log.
  • S702 to S706 The processing of S702 to S706 is the same as the processing of S2 to S6, so the description is omitted.
  • a change command is generated based on a log for a predetermined period of time in the past, and the change command is transmitted to the elevator system 30 .
  • the elevator system 30 changes the settings of the elevator system 30 based on the change command output by the output unit 133 .
  • the acquisition unit 130 determines whether or not a specified period (for example, one week) has passed.
  • the defined period is a predetermined period.
  • the process proceeds to S708. If the obtaining unit 130 does not determine that the specified period has elapsed (NO in S707), the determination in S707 is performed again. As a result, the processing of S708 is executed after the specified period has elapsed.
  • the determination unit 135 acquires the log of the elevator, and advances the process to S709.
  • the determination unit 135 acquires a first log (elevator operation log) and a second log (call registration log).
  • the determination unit 135 determines whether or not the operation of the elevator system 30 after outputting the change command is efficient based on the acquired elevator log, and advances the process to S710.
  • comparing the average waiting time in the entire building before issuing the change order and the average waiting time in the entire building after issuing the change order it is possible to find that the average waiting time is longer after issuing the change order. In this case, it may be determined that the operation of the elevator system 30 after outputting the change command is not efficient.
  • a log of the number of people waiting as shown in FIG. 17 may be compared with the set park floor. When floors other than the floors set as park floors are the most congested, it may be determined that the operation of the elevator system 30 after outputting the change command is not efficient.
  • the process returns to S707. If the determination unit 135 does not determine that the operation of the elevator system 30 is efficient (NO in S710), the process proceeds to S711. By returning the process to S707, it is possible to check whether the operation of the elevator system 30 is efficient or not at regular intervals (one week).
  • the determination unit 135 acquires the first log (elevator operation log) and the second log (call registration log) after the change command is output, and based on the acquired first log and second log, changes It is determined whether the operation of the elevator system 30 after outputting the command is efficient.
  • the output unit 133 outputs an alert indicating that the operation of the elevator system 30 is not efficient, and returns the process to S701. That is, when the determination unit 135 determines that the operation of the elevator system 30 is not efficient, the output unit 133 outputs an alert indicating that the operation of the elevator system 30 is not efficient.
  • the output alert information may be configured so that it can be displayed on the display device 121 of the monitoring control device 100 .
  • the display device 121 of the monitoring control device 100 allows maintenance personnel, building managers, and the like to check the alert information.
  • alert information may be output to the group supervisory control device 200 .
  • Group supervisory control device 200 stores alert information in RAM 213 . With this configuration, alert information can be checked by connecting a maintenance computer for maintenance to the group supervisory control device 200 .
  • the acquisition unit 130 acquires a new log when the determination unit 135 determines that the operation of the elevator system 30 is not efficient.
  • the prediction unit 131 predicts the number of people waiting for each floor based on the log newly acquired by the acquisition unit 130 .
  • the elevator system 30 changes the setting (park floor setting) of the elevator system 30 based on the newly generated change command. In this way, when it is determined that the operation of the elevator system 30 is not efficient, the most recent log is acquired, and the park floor is reviewed again based on this log.
  • both the process of outputting an alert (S711) and the process of outputting a new change command (S701 to S706) are configured to be executed.
  • only the former may be executed, or only the latter may be executed.
  • the monitoring control device 100 monitors and controls the elevator system 30 installed in the building 10 .
  • the monitoring control device 100 includes an acquisition section 130 , a prediction section 131 and an output section 133 .
  • Acquisition unit 130 acquires a log.
  • the prediction unit 131 predicts the number of people waiting for the elevator cars (cars 341 and 342) at each of the halls (halls 331 to 334) of a plurality of floors on which the cars (cars 341 and 342) can stop.
  • the output unit 133 outputs information based on the number of waiting people predicted by the prediction unit 131 to the elevator system 30 .
  • the logs include a first log (elevator operation log) in which car operation information (car information) is recorded, a second log (call registration log) in which registration information (platform information) of hall calls to the car is recorded, A third log (facility operation log, facility layout information) in which information of building facilities (entrance control system 231, lighting system 232, air conditioning system 233) other than the elevator system 30 is recorded.
  • the third log includes operation information (equipment operation log) and arrangement information (equipment layout information) of building equipment regarding exits from each room on a plurality of floors.
  • the prediction unit 131 calculates the number of passengers who boarded the car from each landing of the plurality of floors.
  • the prediction unit 131 predicts the number of people who have left each room on a plurality of floors based on the operation information and the layout information.
  • the prediction unit 131 predicts the number of people waiting for each of the plurality of floors based on the number of people leaving and the number of passengers on each of the plurality of floors. As a result, it is possible to appropriately grasp the congestion situation at the boarding point of each floor using the information of the elevator system and the building equipment other than the elevator system.
  • the supervisory control device 100 further includes a generator 132 .
  • the generation unit 132 generates a setting change command for the elevator system 30 based on a plurality of waiting people corresponding to each of a plurality of floors.
  • Output unit 133 outputs a change command to elevator system 30 .
  • the building equipment includes an entrance/exit management system 231 that manages entrance/exit to each room on each floor, and a lighting system 232 different from the entrance/exit management system 231 .
  • the prediction unit 131 determines the room from which the exit is detected based on the operation information and the layout information of the lighting system 232 on the condition that the entrance/exit management system 231 detects the exit from one of the rooms on the plurality of floors. Predict the number of people leaving the room. As a result, it is possible to prevent the number of people leaving the room from being predicted without depending on the leaving operation (counting the number of people leaving the room even though they have not left the room), so that the prediction accuracy of the number of people leaving the room can be improved.
  • the building facility includes an entrance/exit management system 231 that can identify individuals.
  • the prediction unit 131 detects the exit of each individual based on the operation information and the layout information of the entrance/exit management system 231, and predicts the number of people leaving each floor. As a result, since it is possible to grasp the leaving of the room on an individual basis, it is possible to prevent the same person from being counted twice, and it is possible to improve the prediction accuracy of the number of leaving the room.
  • the operation information includes pattern information that defines behavioral patterns for each individual after leaving each room on multiple floors. Based on the pattern information, the prediction unit 131 predicts the number of people heading to the boarding hall among the number of people leaving each of the plurality of floors. The prediction unit 131 predicts the number of people waiting for each of the plurality of floors, based on the number of people heading to the hall and the number of passengers on each of the plurality of floors. As a result, the number of waiting people can be predicted based on the behavior pattern of each individual, such as the probability of using stairs, rest rooms, or toilets, so the prediction accuracy of the number of waiting people can be improved.
  • the monitoring control device 100 further includes a correction section 134 .
  • the correction unit 134 compares the number of people leaving each floor predicted by the prediction unit 131 and the actual number of people leaving the room corresponding to the number of people leaving the room during a certain period of time. The number of people leaving each floor is corrected to the corrected number of people leaving.
  • the prediction unit 131 predicts the number of people waiting for each of the plurality of floors based on the corrected number of people leaving the room and the number of passengers on each of the plurality of floors. In this way, by correcting the number of people who have left the room based on the data of the actual number of people who have left the room, it is possible to improve the prediction accuracy of the number of waiting people.
  • the acquisition unit 130 periodically acquires logs for a predetermined period in the past.
  • the prediction unit 131 predicts the number of people waiting for each of the floors based on the log periodically acquired by the acquisition unit 130 . As a result, it is possible to continuously improve the prediction accuracy of the number of people waiting after the introduction of this system.
  • the monitoring control device 100 further includes a determination unit 135 .
  • the determination unit 135 acquires the first log (elevator operation log) and the second log (call registration log) after the change command is output, and based on the acquired first log and second log, after the change command is output to determine whether the operation of the elevator system 30 is efficient.
  • the output unit 133 outputs an alert indicating that the operation of the elevator system 30 is not efficient.
  • maintenance personnel, building managers, etc. who have confirmed the alert can manually change the settings of the elevator system 30 (park floor settings). ) can be prevented.
  • the acquisition unit 130 acquires a new log when the determination unit 135 determines that the operation of the elevator system 30 is not efficient.
  • the prediction unit 131 predicts the number of people waiting for each floor based on the log newly acquired by the acquisition unit 130 . As a result, even if operation based on an inappropriate change command (park floor setting) is started, inappropriate operation (decrease in operation efficiency) can be improved without human intervention.
  • Building facilities include a lighting system 232 and an air conditioning system 233 .
  • Acquisition unit 130 acquires logs of lighting system 232 and air conditioning system 233 .
  • the prediction unit 131 predicts the number of people leaving each floor based on the operation information and the layout information of the lighting system 232 and the air conditioning system 233 . In this way, by performing a prediction that combines a plurality of building facilities, it is possible to further improve the prediction accuracy of the number of people leaving the room.
  • the acquisition unit 130 further acquires a fourth log (log of the conference room management system 234) in which information of equipment (conference room management system 234) other than building equipment is recorded.
  • the prediction unit 131 corrects the predicted number of people waiting for each of the plurality of floors based on the fourth log. This makes it possible to predict the number of people waiting, taking into account an increase in the number of people leaving the room due to an event that cannot be determined by the elevator system or other building equipment.
  • the supervisory control system 1 includes a supervisory control device 100 and an elevator system 30 .
  • the monitoring control device 100 can communicate with the elevator system 30 and is installed at a location different from the building 10 in which the elevator system 30 is installed.
  • the elevator system 30 changes the settings of the elevator system 30 based on the change command output by the output unit 133 .
  • it is possible to dispatch cars to congested floors, thereby improving the operating efficiency (transportation efficiency) of the elevator and improving user satisfaction. can be done.
  • the monitoring control device 100 in the building 20 different from the building 10, it is possible to provide a service for improving the operation efficiency of the elevator without adding a device on site.
  • the monitoring control method is a method of monitoring and controlling the elevator system 30 installed in the building.
  • the supervisory control method includes a step of acquiring a log, a step of predicting, based on the log, the number of people waiting for the car at each landing of a plurality of floors on which the car of the elevator can stop, and a waiting time predicted by the predicting step. and outputting information based on the number of people to the elevator system 30 .
  • the logs include a first log that records car operation information, a second log that records registration information of hall calls to cars, and a third log that records information on building equipment other than the elevator system 30. include.
  • the third log includes operation information and arrangement information of building equipment regarding exits from each room on a plurality of floors.
  • the step of predicting includes a step of calculating the number of passengers who boarded the car from the landing of each of the plurality of floors based on the first log and the second log, and predicting the number of people waiting for each of the plurality of floors based on the number of people leaving and the number of passengers on each of the plurality of floors.

Landscapes

  • Indicating And Signalling Devices For Elevators (AREA)
  • Elevator Control (AREA)
PCT/JP2021/035943 2021-09-29 2021-09-29 監視制御装置、監視制御システムおよび監視制御方法 Ceased WO2023053290A1 (ja)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/JP2021/035943 WO2023053290A1 (ja) 2021-09-29 2021-09-29 監視制御装置、監視制御システムおよび監視制御方法
JP2023544370A JP7351044B2 (ja) 2021-09-29 2021-09-29 監視制御装置、監視制御システムおよび監視制御方法

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2021/035943 WO2023053290A1 (ja) 2021-09-29 2021-09-29 監視制御装置、監視制御システムおよび監視制御方法

Publications (1)

Publication Number Publication Date
WO2023053290A1 true WO2023053290A1 (ja) 2023-04-06

Family

ID=85780493

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2021/035943 Ceased WO2023053290A1 (ja) 2021-09-29 2021-09-29 監視制御装置、監視制御システムおよび監視制御方法

Country Status (2)

Country Link
JP (1) JP7351044B2 (https=)
WO (1) WO2023053290A1 (https=)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007284149A (ja) * 2006-04-12 2007-11-01 Hitachi Ltd エレベータの群管理制御方法およびシステム
JP2015009909A (ja) * 2013-06-26 2015-01-19 東芝エレベータ株式会社 エレベータの群管理システム
WO2019087249A1 (ja) * 2017-10-30 2019-05-09 株式会社日立製作所 エレベーター運行管理システムおよびエレベーター運行管理方法
JP2020045240A (ja) * 2018-09-21 2020-03-26 株式会社日立ビルシステム エレベーター制御装置、および、それを用いたエレベーターシステム

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007284149A (ja) * 2006-04-12 2007-11-01 Hitachi Ltd エレベータの群管理制御方法およびシステム
JP2015009909A (ja) * 2013-06-26 2015-01-19 東芝エレベータ株式会社 エレベータの群管理システム
WO2019087249A1 (ja) * 2017-10-30 2019-05-09 株式会社日立製作所 エレベーター運行管理システムおよびエレベーター運行管理方法
JP2020045240A (ja) * 2018-09-21 2020-03-26 株式会社日立ビルシステム エレベーター制御装置、および、それを用いたエレベーターシステム

Also Published As

Publication number Publication date
JP7351044B2 (ja) 2023-09-26
JPWO2023053290A1 (https=) 2023-04-06

Similar Documents

Publication Publication Date Title
US10035679B2 (en) Elevator control system using meeting information to control car destinations
CN111263729A (zh) 电梯运行管理系统以及运行管理方法
JP6866275B2 (ja) 外部システム連携配車システム及び方法
CN104973471B (zh) 群管理电梯装置
JP2011105452A (ja) エレベータの群管理システム及び群管理方法
KR950007372B1 (ko) 엘리베이터의 그룹관리 제어장치
CN102414108A (zh) 用于在建筑物中根据位置管理人员的方法
JP5535708B2 (ja) エレベータの群管理制御装置
CN105967007B (zh) 电梯系统
JP6960463B2 (ja) 渋滞回避運転システム及び方法
CN111225866A (zh) 自动呼叫登记系统以及自动呼叫登记方法
JP2015009909A (ja) エレベータの群管理システム
CN111344244B (zh) 组管理控制装置及组管理控制方法
JP4995248B2 (ja) エレベータの交通需要予測装置
JP4575030B2 (ja) エレベータ交通需要予測装置およびそれを備えるエレベータ制御装置
JPH04246077A (ja) エレベータ制御装置における階床人口検出装置
CN113511566A (zh) 群管理控制装置、调度控制方法和电梯
CN112744653A (zh) 电梯运行诊断装置、电梯运行诊断系统和电梯运行诊断方法
JP4679909B2 (ja) エレベータの火災時運転システム
JP7351044B2 (ja) 監視制御装置、監視制御システムおよび監視制御方法
JP6243787B2 (ja) 群管理エレベータ装置
JPS6236954B2 (https=)
JP6799161B2 (ja) エレベーター装置
KR102745310B1 (ko) 로봇 연동 엘리베이터 시스템
JPH04133981A (ja) エレベーターの制御装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21959334

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 2023544370

Country of ref document: JP

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21959334

Country of ref document: EP

Kind code of ref document: A1