WO2021220330A1 - データ収集装置、遠隔制御システム、データ収集方法及びプログラム - Google Patents

データ収集装置、遠隔制御システム、データ収集方法及びプログラム Download PDF

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Publication number
WO2021220330A1
WO2021220330A1 PCT/JP2020/017931 JP2020017931W WO2021220330A1 WO 2021220330 A1 WO2021220330 A1 WO 2021220330A1 JP 2020017931 W JP2020017931 W JP 2020017931W WO 2021220330 A1 WO2021220330 A1 WO 2021220330A1
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Prior art keywords
data
operation data
collected
evaluation
unit
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Ceased
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English (en)
French (fr)
Japanese (ja)
Inventor
知晃 行田
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Mitsubishi Electric Corp
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Mitsubishi Electric Corp
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Priority to US17/920,208 priority Critical patent/US20230160590A1/en
Priority to JP2022518430A priority patent/JP7539463B2/ja
Priority to EP20933904.3A priority patent/EP4145378A4/en
Priority to PCT/JP2020/017931 priority patent/WO2021220330A1/ja
Publication of WO2021220330A1 publication Critical patent/WO2021220330A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/16—Real estate
    • G06Q50/163—Real estate management
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/49—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring ensuring correct operation, e.g. by trial operation or configuration checks
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56—Remote control
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283—Price estimation or determination
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/04—Billing or invoicing

Definitions

  • This disclosure relates to data collection devices, remote control systems, data collection methods and programs.
  • a service that controls, maintains, etc. by remote control is known for equipment systems including equipment installed in properties such as office buildings and commercial facilities.
  • data is collected from the system that provides the service, and processing such as control and maintenance is performed using the analysis result of the collected data.
  • the centralized control center that collects the operation information of the air conditioner determines the necessity of maintenance based on the collected operation information, and the service provider receives the maintenance necessity from the centralized control center.
  • the technology for performing maintenance of air conditioners is disclosed based on the information regarding.
  • the present disclosure has been made in view of the above problems, and provides a data collection device, a remote control system, a data collection method and a program capable of efficiently collecting various data from an equipment system. With the goal.
  • the data collection device is Collection means for collecting operation data showing the operation status of equipment systems, and A storage means for storing the operation data and An evaluation means for calculating an evaluation value indicating the value of the collected operation data based on the comparison between the collected operation data and the stored operation data, and an evaluation means.
  • a determination means for determining the consideration for the provision of the collected operation data based on the evaluation value, and It is provided with a presentation means for presenting the determined consideration to the provider of the collected driving data.
  • Block diagram of the remote control system according to the first embodiment A block diagram showing a hardware configuration of a data collection device and a control device according to the first embodiment.
  • the remote control system 1 is a system that remotely controls the equipment system constructed in the property.
  • the equipment system is, for example, an air conditioning system that controls an air conditioner, a lighting system that controls lighting equipment, and a system that controls an elevator.
  • the equipment system will be described as an air conditioning system.
  • the administrator of the remote control system 1 is a person who provides services such as automatic control and maintenance of the air conditioner, and has a contract with the owner or administrator of the air conditioning system 300 to provide the services. ..
  • the remote control system 1 includes a data collection device 100 that collects operation data of the equipment system, and a control device 200 that remotely controls the equipment based on the collected operation data.
  • the data collection device 100 and the control device 200 are connected to each other via a network (not shown).
  • the data collection device 100 is connected to a plurality of air conditioning systems 300 via a network. It is assumed that the plurality of air conditioning systems 300 are installed in different properties. Properties are, for example, office buildings, commercial facilities, and condominiums.
  • the data collection device 100 collects operation data from a plurality of air conditioning systems 300.
  • the control device 200 remotely controls the air conditioning system 300 based on the operation data collected by the data collection device 100.
  • the remote control is, for example, automatic control of the air conditioner included in the air conditioning system 300 and failure diagnosis of the air conditioning system 300.
  • the air conditioning system 300 includes an air conditioner 310, a system controller 320, and a connection terminal 330.
  • the air conditioner 310 includes one or more indoor units 311 and one or more outdoor units 312.
  • the indoor unit 311 is arranged inside the air-conditioned space, and the outdoor unit 312 is arranged outside the air-conditioned space.
  • the indoor unit 311 and the outdoor unit 312 each include sensors for measuring temperature, pressure, and the like.
  • the system controller 320 is a device that controls the operation of the air conditioner 310.
  • the system controller 320 can communicate with the indoor unit 311 and the outdoor unit 312 by wireless communication or wired communication.
  • the system controller 320 acquires operation data including the values set in the indoor unit 311 and the outdoor unit 312, the values measured by the sensors included in the indoor unit 311 and the outdoor unit 312, and the like.
  • connection terminal 330 connects to the data collection device 100 via the network 400. Further, the connection terminal 330 can communicate with the system controller 320 by wireless communication or wired communication. The connection terminal 330 acquires operation data from the system controller 320 and transmits the acquired operation data to the data collection device 100.
  • the network 400 is a wireless or wired communication network, for example, the Internet, an intranet, an extranet, a LAN (Local Area Network), a VPN (Virtual Private Network), a telephone network, and the like.
  • a wireless or wired communication network for example, the Internet, an intranet, an extranet, a LAN (Local Area Network), a VPN (Virtual Private Network), a telephone network, and the like.
  • the data collection device 100 includes a processor 11 that executes a process for collecting data, a main storage unit 12 that is used as a work area of the processor 11, and an auxiliary storage unit 13 that stores various data used for the processing of the processor 11.
  • the main storage unit 12, the auxiliary storage unit 13, the communication unit 14, the input unit 15, the output unit 16, and the RTC 17 are all connected to the processor 11 via the bus 18.
  • the processor 11 includes a CPU (Central Processing Unit).
  • the processor 11 realizes various functions of the data collection device 100 by executing a program stored in the auxiliary storage unit 13.
  • the main storage unit 12 includes a RAM (RandomAccessMemory). A program is loaded into the main storage unit 12 from the auxiliary storage unit 13. Then, the main storage unit 12 is used as a work area of the processor 11.
  • RAM RandomAccessMemory
  • the auxiliary storage unit 13 includes a non-volatile memory represented by an EEPROM (Electrically Erasable Programmable Read-Only Memory).
  • the auxiliary storage unit 13 stores various data used in the processing of the processor 11 in addition to the program.
  • the auxiliary storage unit 13 supplies the data used by the processor 11 to the processor 11 according to the instruction of the processor 11, and stores the data supplied from the processor 11.
  • the communication unit 14 includes a network interface circuit for communicating with an external device.
  • the communication unit 14 receives a signal from an external device and outputs the data indicated by this signal to the processor 11. Further, the communication unit 14 transmits a signal indicating the data output from the processor 11 to an external device.
  • the input unit 15 includes an input device such as an input key and a pointing device.
  • the input unit 15 acquires the information input by the user of the data collection device 100, and notifies the processor 11 of the acquired information.
  • the output unit 16 includes an output device such as an LCD (Liquid Crystal Display) and a speaker.
  • the output unit 16 may form a touch screen integrally formed with the pointing device constituting the input unit 15.
  • the output unit 16 presents various information to the user according to the instruction of the processor 11.
  • RTC17 is a timekeeping device equipped with an oscillation circuit using a crystal oscillator.
  • the RTC 17 has a built-in battery, for example, and continues timing even while the power of the data collection device 100 is off.
  • the control device 200 includes a processor 21 that performs remote control processing, a main storage unit 22 that is used as a work area of the processor 21, an auxiliary storage unit 23 that stores various data used in the processing of the processor 21, and an external device. It has a communication unit 24 for communicating with, an input unit 25 for acquiring input information, an output unit 26 for presenting various information, and an RTC 27 for measuring time.
  • the main storage unit 22, the auxiliary storage unit 23, the communication unit 24, the input unit 25, the output unit 26, and the RTC 27 are all connected to the processor 21 via the bus 28.
  • the processor 21, the main storage unit 22, the auxiliary storage unit 23, the communication unit 24, the input unit 25, the output unit 26, and the RTC 27 are the processor 11, the main storage unit 12, the auxiliary storage unit 13, the communication unit 14, and the input unit 15, respectively. , Has the same functions as the output unit 16 and RTC17.
  • the data collection device 100 includes a collection unit 101 that collects operation data from the air conditioning system 300, an operation data storage unit 102 that stores operation data, and an evaluation unit that calculates an evaluation value indicating the value of operation data. It includes 103, a determination unit 104 that determines a consideration for providing operation data based on an evaluation value, and a presentation unit 105 that presents the determined consideration.
  • the collection unit 101 collects operation data indicating the operation status of the air conditioning system 300.
  • the collecting unit 101 is realized by the cooperation of the processor 11 and the communication unit 14.
  • the collecting unit 101 is an example of collecting means.
  • the operation data is data indicating the operation status of the air conditioning system 300.
  • the operation data includes dynamic data that changes with the passage of time and static data that does not change with the passage of time.
  • the dynamic data is, for example, information on remote control set values such as set temperature, wind direction, and wind speed, sensor values of the air conditioner 310, operating time of the air conditioner 310, operation mode, presence / absence of abnormality, and control contents. be.
  • the static data is, for example, information on the model of the air conditioner 310 and information on the system scale of the air conditioning system 300.
  • the information on the system scale is, for example, information on the number of indoor units 311 and outdoor units 312 included in the air conditioning system 300.
  • the dynamic data of the operation data is time series data at 1-minute intervals.
  • the collection unit 101 periodically collects operation data from the air conditioning system 300, for example, at 1-hour intervals. That is, the collecting unit 101 collectively collects the operation data including the time-series data at 1-minute intervals every hour.
  • the collection interval is arbitrarily determined by the administrator of the data collection device 100.
  • the static data included in the operation data may not be collected periodically, but may be collected only at a predetermined timing. For example, the collecting unit 101 collects static data at the timing when the air conditioner 310 is started.
  • the collecting unit 101 sends the collected operation data to the control device 200, which will be described later. Further, the collection unit 101 registers the collected operation data in the operation data storage unit 102 after the evaluation unit 103, which will be described later, calculates an evaluation value for the collected operation data.
  • the operation data storage unit 102 stores operation data of a plurality of air conditioning systems 300 for which the remote control system 1 provides a remote control service.
  • the operation data storage unit 102 is realized by the auxiliary storage unit 13.
  • the operation data storage unit 102 is an example of storage means.
  • FIG. 4 shows an example of operation data stored in the operation data storage unit 102. It is assumed that the table of FIG. 4 shows, for example, the operation data collected from the air conditioning system 300 constructed in the property A. It is assumed that the air conditioning system 300 of the property A has an air conditioning system ID "0001".
  • the operation data storage unit 102 stores a table of operation data as shown in FIG. 4 for each air conditioning system 300. In the table of FIG. 4, the model of the air conditioner 310 included in the air conditioning system 300, the system scale of the air conditioning system 300, the date and time when the dynamic data of the operation data was measured, and the air conditioner 310 are set.
  • An abnormality code indicating the content, an operation mode of the air conditioner 310, and a power consumption amount of the air conditioner 310 are registered in association with each other.
  • the temperature sensor value is, for example, the suction temperature of the air sucked from the suction port of the indoor unit 311.
  • the pressure sensor value is, for example, the value of the pressure of the refrigerant flowing through the piping of the outdoor unit 312.
  • the function used is a function related to the control of the air conditioner 310 of the air conditioning system 300, and is a function capable of realizing energy saving.
  • "normal” indicates a control state in which no special control is performed to realize energy saving.
  • “Function A” indicates, for example, evaporation temperature control that controls the temperature in the evaporator in order to suppress power consumption when the temperature approaches a set temperature.
  • “Function B” indicates, for example, rotation control in which a plurality of indoor units 311 are regarded as one group, at least one indoor unit in the group is stopped, and the operation is sequentially switched to an operation of suppressing power consumption such as blowing air.
  • the abnormality code is a code associated with the content of the abnormality that occurs in the air conditioning system 300.
  • the abnormality code is "none", it means that no abnormality has occurred in the air conditioning system 300.
  • “Code A” indicates, for example, a refrigerant leak in the outdoor unit 312.
  • the power consumption indicates the amount of power consumed by the air conditioner 310 in a predetermined unit period.
  • the unit period is 1 minute, which is the amount of electric power measured in the most recent 1 minute on the date and time when the operation data was collected.
  • the record in the first row of the table in FIG. 4 shows that the model of the air conditioner 310 included in the air conditioning system 300 of the air conditioning system ID "0001" is "A11-1", and the air conditioning system 300 has "indoor unit: “12 units, outdoor unit: 2 units” are included, and the dynamic data of the operation data is measured at "8:00 on July 1, 2019", and the set temperature of the air conditioner 310 is "26 ° C”.
  • Temperature sensor value is "26.5 ° C”
  • Pressure sensor value is "12.0Pa”
  • Function used is "Function A”
  • Operation mode is "Cooling”
  • Presence or absence of abnormality is "No”
  • Power consumption is " It shows that it is "0.1kWh”.
  • the evaluation unit 103 of FIG. 3 calculates an evaluation value indicating the value of the collected operation data based on the comparison between the collected operation data and the stored operation data.
  • the evaluation unit 103 is realized by the processor 11.
  • the evaluation unit 103 is an example of the evaluation means.
  • the value of the operation data is arbitrarily determined by the administrator of the remote control system 1. For example, suppose that the higher the degree to which the administrator wants to acquire the data, the higher the value of the driving data. In the present embodiment, the administrator acquires the same type of operation data as the operation data having a smaller amount as the rarity of the operation data is higher, that is, the amount of the operation data stored in the operation data storage unit 102 is smaller. Such driving data is valuable. For example, for a predetermined evaluation item, the distribution of operation data is obtained, and operation data belonging to the same class are regarded as the same type.
  • the evaluation unit 103 obtains the distribution of the stored driving data for the predetermined evaluation items, and in the obtained distribution, the smaller the amount of the driving data included in the class to which the collected driving data belongs, the more the data is collected. Calculate a high evaluation value for the operation data.
  • the amount of operation data is represented by the number of samples, the amount of data such as bytes, and the like.
  • the amount of stored operation data is referred to as "accumulated amount", and the accumulated amount is expressed by the number of samples.
  • the evaluation unit 103 obtains values for the collected operation data with respect to predetermined evaluation items.
  • the evaluation items are, for example, operating time, model, system scale, abnormality code, and function used.
  • the evaluation unit 103 for the evaluation items of the operation time. Obtains the cumulative operating hours from the date and time when the air conditioning system 300 of the air conditioning system ID "0001" was constructed to 9:00 on March 7, 2020. Regarding the evaluation items of the model, the evaluation unit 103 obtains a model number indicating the model of the air conditioner 310 included in the air conditioning system 300 of the air conditioning system ID "0001". Regarding the evaluation items of the system scale, the evaluation unit 103 obtains the number of each of the indoor unit 311 and the outdoor unit 312 included in the air conditioning system 300 of the air conditioning system ID "0001".
  • the evaluation unit 103 obtains the abnormality code included in the operation data from 8:00 to 9:00 on March 7, 2020.
  • the evaluation unit 103 obtains the value of the function to be used included in the operation data from 8:00 to 9:00 on March 7, 2020.
  • the evaluation unit 103 obtains the distribution of the evaluation items from the operation data of the other air conditioning system 300 stored in the operation data storage unit 102. For example, the evaluation unit 103 obtains the operating time of another air conditioning system 300 for the evaluation item of the operating time, and obtains a histogram in which the operating time is a class as shown in FIG. The histogram class of FIG. 5 is set every 5000 hours. Assuming that the operating time of the air conditioning system 300 of the air conditioning system ID "0001" is 6000 hours, the evaluation unit 103 indicates that the operating time of the air conditioning system 300 of the air conditioning system ID "0001" is 5000 hours in the histogram of FIG. It is determined that the system belongs to the class of 5,000 to 10,000 hours (the shaded columns in FIG.
  • the evaluation unit 103 obtains the number of samples Y1 included in all the classes of the histogram of FIG. Similarly, the evaluation unit 103 obtains histograms for other evaluation items, and the number of samples Xi (i: 1 to n, n: number of evaluation items) of the class to which the collected operation data belongs and the number of all classes. Find the number of samples Yi.
  • the evaluation unit 103 calculates the evaluation value i for each evaluation item based on the following (Equation 1).
  • the evaluation value obtained by the above formula (1) approaches 1 as the number of samples of the class to which the collected operation data belongs is smaller. That is, the smaller the accumulated amount of operation data that can be regarded as the same type as the collected operation data, the higher the evaluation value of the collected operation data is required.
  • the determination unit 104 determines the consideration for the provision of the collected operation data based on the evaluation value.
  • the determination unit 104 is realized by the processor 11.
  • the determination unit 104 is an example of the determination means.
  • the consideration is the reward given to the provider who provided the collected driving data.
  • the provider who provided the operation data is typically the owner of the air conditioning system 300 receiving the remote control service.
  • the consideration will be described as an evaluation point that can be used for discounting the service usage fee of the remote control system.
  • the evaluation point is, for example, the average value of the evaluation values i obtained for each evaluation item.
  • the presentation unit 105 presents the determined consideration to the provider of the collected operation data.
  • the presentation unit 105 is realized by the processor 11.
  • the presentation unit 105 is an example of the presentation means.
  • the presentation unit 105 is the air conditioning system of the air conditioning system ID "0001".
  • a message including the value of the evaluation point is transmitted to the connection terminal 330 of 300.
  • the control device 200 includes a control unit 201 that executes remote control, a usage data storage unit 202 that stores information related to the use of remote control, and a notification unit 203 that notifies information related to remote control.
  • the control unit 201 remotely controls the air conditioning system 300 based on the collected operation data.
  • the control unit 201 is realized by the cooperation of the processor 21 and the communication unit 24.
  • the control unit 201 is an example of the control means.
  • the control unit 201 includes a control execution unit 211 that executes control of the air conditioner 310 of the air conditioning system 300, and a failure diagnosis unit 212 that performs a failure diagnosis of the air conditioning system 300.
  • the control execution unit 211 predicts the power demand for the next day based on the operation data stored in the operation data storage unit 102, and equalizes the power load based on the predicted power demand and the collected operation data. To execute.
  • the failure diagnosis unit 212 diagnoses that, for example, if the collected operation data has a high degree of similarity with the operation data before the failure in the past at another property, a sign of failure is seen.
  • control unit 201 registers the information of the time when the remote control service is provided in the usage data storage unit 202.
  • the usage data storage unit 202 stores usage data related to the services of the plurality of air conditioning systems 300.
  • the usage data storage unit 202 is realized by the auxiliary storage unit 23.
  • the usage data is data indicating the usage status of the service of the air conditioning system 300.
  • the usage data includes, for example, service usage time, usage fee, and evaluation points.
  • FIG. 6 shows an example of usage data stored in the usage data storage unit 202.
  • the air conditioning system ID for identifying the air conditioning system 300, the usage time using the service, the charge required for using the service during the usage time, and the operation data collected during the usage time were obtained. Evaluation points and are registered in association with each other. The evaluation point is a value registered by the determination unit 104.
  • the air conditioning system 300 with the air conditioning system ID "0001" provides a remote control service from "8:00 on March 7, 2020 to 9:00 on March 7, 2020". It is used, and the charge for using the service during this period is "10 yen", which indicates that the evaluation point "0.4" was given for the provision of the operation data collected during this period.
  • the notification unit 203 notifies the operation data provider of the information related to the remote control.
  • the notification unit 203 is realized by the cooperation of the processor 21 and the communication unit 24.
  • the notification unit 203 is an example of the notification means.
  • the information related to remote control is, for example, information related to the control content executed by the control execution unit 211 and the result of failure diagnosis.
  • the information regarding the remote control includes the value of the cost required to execute the remote control, which is obtained by referring to the consideration for the data provision.
  • the value of the cost required to execute the remote control which is obtained by referring to the consideration, is, for example, the value of the billing amount obtained by subtracting the evaluation points from the service usage fee.
  • the notification unit 203 obtains the billing amount by referring to the items of the usage fee and the evaluation point in the table of FIG. 6 stored in the usage data storage unit 202.
  • the billing amount is obtained by subtracting the value obtained by multiplying the evaluation point by a predetermined amount from the usage fee per usage time, for example.
  • the predetermined amount is "10 yen”
  • the amount billed for the air conditioning system 300 with the air conditioning system ID "0001" between "8:00 on March 7, 2020 and 9:00 on March 7, 2020”. Is calculated as "10 (yen) -0.4 x 10 (yen) 6 (yen)".
  • FIG. 7 shows an example of information related to remote information notified by the notification unit 203.
  • the notification unit 203 transmits, for example, information on remote information to the connection terminal 330 of the air conditioning system 300 in which the operation data is collected, the image 500 of FIG. 7 is displayed on the screen of the system controller 320.
  • the data collection device 100 executes, for example, the data collection process of FIG. 8 in an hour cycle.
  • the collecting unit 101 collects operation data from the air conditioning system 300 (step S101).
  • the evaluation unit 103 obtains the values of the collected operation data for the predetermined evaluation items (step S102).
  • the evaluation unit 103 obtains the distribution of the evaluation items for the operation data of the air conditioning system 300 stored in the operation data storage unit 102 (step S103).
  • the evaluation unit 103 calculates the evaluation value based on which class the value of the evaluation item of the collected operation data belongs to in the distribution of the evaluation item of the stored operation data (step S104).
  • the determination unit 104 determines the evaluation points based on the evaluation value (step S105).
  • the presentation unit 105 presents the determined points to the provider of the collected driving data (step S106).
  • the control device 200 executes the control process of FIG. 9 in a one-hour cycle at the timing when the data collection process of the data collection device 100 is completed, for example.
  • the control execution unit 211 transmits information indicating the control content of the next cycle to the air conditioning system 300 based on the collected operation data (step S201).
  • the failure diagnosis unit 212 performs a failure diagnosis on the collected operation data (step S202).
  • the notification unit 203 obtains the billing amount per usage time based on the usage data stored in the usage data storage unit 202 (step S203). Then, the notification unit 203 notifies the provider of the operation data of the information regarding the remote control including the billed amount (step S204).
  • the consideration for the provision of the collected driving data is determined according to the value of the collected driving data, and the determined consideration is presented to the provider who provided the collected driving data.
  • the data that the administrator of the remote control system wants to acquire is determined to have a high price, and the data that the administrator does not want to acquire is determined to have a low price. The cost can be suppressed. Therefore, according to the present embodiment, various data can be efficiently collected from the viewpoint of time and cost.
  • the amount of data stored in the remote control system is small in the short period after the operation of the remote control system. Therefore, a high price is paid for the provision of data.
  • the remote control system is operated for a long period of time and the amount of accumulated data is large, a low price is paid for the provision of the data.
  • customers who use the remote control system can use the service at a low price shortly after the remote control system is put into operation.
  • the evaluation value is calculated so that the operation data of the desired model is required to have a high evaluation value.
  • Expressions can be set. For example, if an air conditioning system including an air conditioner of a model for cold regions wants to acquire operation data, a high price is paid for providing the operation data. Due to the small population of cold regions, the number of air conditioning systems is small and the data that can be collected is small, but at a high price, it is possible to encourage customers to provide data and collect more data quickly. can do.
  • the consideration for the provision of the data can be automatically calculated and presented, so that it is not necessary to manually analyze the collected data. Therefore, the operating cost can be reduced.
  • various data can be collected, and the quality of service can be improved by using the data.
  • various data can be collected, so that it is possible to perform highly accurate market analysis based on the collected data, and a product having high added value for the customer. Development can be done.
  • the remote control system 1 is a system that collects additional data together with operation data.
  • the remote control system 1 of the second embodiment includes a data collection device 100 and a control device 200.
  • the control device 200 of the second embodiment has the same function as the control device 200 of the first embodiment.
  • the data collection device 100 of the second embodiment has the following functions in addition to the functions of the data collection device 100 of the first embodiment.
  • the data collection device 100 includes a collection unit 101 that collects operation data from the air conditioning system 300, an operation data storage unit 102 that stores operation data, and an evaluation unit that calculates an evaluation value indicating the value of operation data. 103, a determination unit 104 that determines the consideration for providing the operation data based on the evaluation value, a presentation unit 105 that presents the determined consideration, a reception unit 106 that accepts additional data, and a classification unit that classifies the operation data. 107 and.
  • the reception unit 106 accepts the input of additional data.
  • the reception unit 106 is realized by the cooperation of the processor 11 and the communication unit 14.
  • the reception unit 106 is an example of reception means.
  • the additional data is data associated with the operation data, and is data that cannot be automatically collected from the equipment system to be remotely controlled like the operation data. That is, the additional data is data that cannot be obtained unless it is input from the outside.
  • the input from the outside may be either manual or automatic.
  • the additional data is, for example, the installation location of the air conditioner 310, the building information of the building in which the air conditioning system 300 is constructed, and the intended use of the air conditioning system 300.
  • the installation location includes, for example, the arrangement of the indoor unit on the floor and the installation position of the outdoor unit.
  • the installation position of the outdoor unit is, for example, a position such as a rooftop, a veranda, or the ground.
  • Building information includes age, size, insulation, pipe length, window location, and direction.
  • the building information may be Building Information Modeling (BMI) data.
  • BMI Building Information Modeling
  • the intended use is, for example, an item indicating an office, a store, or a hospital.
  • the reception unit 106 When the reception unit 106 receives the input of the additional data, it registers it in the operation data storage unit 102 in association with the operation data. For example, assuming that the reception unit 106 receives the input of the building information of the property in which the air conditioning system 300 of the air conditioning system ID "0001" is constructed, the input building information is input to the air conditioning system 300 of the air conditioning system ID "0001". It is registered in the operation data storage unit 102 in association with the operation data.
  • FIG. 11 shows an example of additional data stored in the operation data storage unit 102.
  • the table of FIG. 11 shows the air conditioning system ID for identifying the air conditioning system 300, the installation location of the air conditioner 310, the building information of the property in which the air conditioning system 300 is constructed, and the property in which the air conditioning system 300 is constructed.
  • the intended use and the intended use are registered in association with each other.
  • the installation location of the air conditioner 310 is the installation location of the outdoor unit 312, and the building information is the age of the building.
  • the additional data is associated with the operation data of FIG. 4 using the air conditioning system ID as a key.
  • the outdoor unit 312 of the air conditioning system 300 with the air conditioning system ID "0001" is installed on the “rooftop", and the age of the property in which the air conditioning system 300 is built is ". It is "one year”, which indicates that the purpose of use of this property is "office".
  • the classification unit 107 classifies the operation data stored in the operation data storage unit 102 into one or more groups based on the value of the operation data stored in the operation data storage unit 102. When the determination unit 104 determines that the additional data is added to the collected operation data, the classification unit 107 classifies the collected operation data.
  • the classification unit 107 is realized by the processor 11.
  • the classification unit 107 is an example of the classification means.
  • driving data is classified by clustering, which is one of unsupervised learning.
  • classification using clustering by the k-means method will be described.
  • the cluster obtained by classification is defined as the above group.
  • the operation data stored in the operation data storage unit 102 is divided into data for each unit time.
  • the evaluation items used for classification are determined.
  • the unit time is set to 1 hour, and classification is performed based on the temperature sensor value and the pressure sensor value. Since the operation data is measured every minute, the data divided for each unit time can be represented by a multidimensional vector having a dimension of 60 (number of measured data) x 2 (temperature sensor value and pressure sensor value). can.
  • the air conditioning system 300 of the air conditioning system ID "0002" has 1000 multidimensional vectors.
  • the air conditioning system 300 has a plurality of multidimensional vectors for motion data.
  • the classification unit 107 clusters all the multidimensional vectors stored in the operation data storage unit 102 of the total air conditioning system 300.
  • the determination unit 104 identifies the group to which the collected operation data belongs from among the one or more classified groups.
  • the determination unit 104 calculates the distance between each center of gravity vector of k clusters obtained by the k-means method and the vector indicating the collected operation data, and the distance between the vector indicating the collected operation data. Identifyes the cluster with the shortest centroid vector as the cluster to which the collected operational data belongs.
  • the determination unit 104 obtains the grant rate to which the additional data is added to the operation data included in the cluster specified to which the collected operation data belongs.
  • the grant rate is the ratio of the operation data to which the additional data is assigned to all the operation data included in the specified cluster.
  • the determination unit 104 corrects the consideration based on the grant rate. Specifically, the corrected evaluation points are obtained based on the following (Equation 2).
  • the corrected evaluation point obtained by the above equation (2) is that the higher the rate of addition, that is, the higher the rate of additional data added to the operation data included in the cluster to which the collected operation data belongs, the more the operation. It approaches the evaluation point determined based on the amount of data accumulated.
  • the lower the rate of addition that is, the lower the rate of addition of additional data to the operation data included in the cluster to which the collected operation data belongs, the higher the evaluation points.
  • the evaluation points corrected by the above equation (2) have the same values as the evaluation points determined based on the accumulated amount of operation data when the grant rate is 100%. When the grant rate is 0%, the evaluation point is 1.
  • the presentation unit 105 presents the corrected evaluation points to the provider of the collected driving data. For example, when the operation data from 8:00 to 9:00 on March 7, 2020 is collected from the air conditioning system 300 of the air conditioning system ID "0001" and additional data is added to the collected operation data, it is presented. The unit 105 transmits a message including the corrected evaluation point value to the connection terminal 330 of the air conditioning system 300 of the air conditioning system ID “0001”.
  • the data collection device 100 executes, for example, the data collection process of FIG. 12 in an hour cycle.
  • steps S301 to S305 is the same as the processing of steps S101 to S105 in the flowchart of FIG.
  • the determination unit 104 determines whether or not additional data is added to the collected operation data (step S306).
  • the classification unit 107 uses the operation data stored in the operation data storage unit 102 as the operation data of the operation data. Classify into a plurality of clusters based on the values (step S307).
  • the determination unit 104 determines that no additional data is added to the collected operation data (step S306; NO)
  • the process proceeds to step S310, and the presentation unit 105 presents the evaluation points obtained in step S305. (Step S310).
  • step S307 when the operation data stored in the operation data storage unit 102 is classified into a plurality of clusters, the determination unit 104 collects the cluster to which the collected operation data belongs among the classified clusters. It is specified based on the value of the operation data (step S308). The determination unit 104 obtains the addition rate of the additional data added to the operation data included in the specified cluster, and corrects the evaluation points based on the addition rate (step S309). Then, the presentation unit 105 presents the corrected evaluation points (step S310).
  • the collected operation data is provided. Determine a high price for. As a result, it is possible to promote the addition of additional data, and it is possible to efficiently collect additional data that is difficult to automatically acquire from the system.
  • the data collection device 100 and the control device 200 are connected via a network, but the present invention is not limited to this.
  • the data collection device 100 and the control device 200 may be one device. Further, a part or all of each part of the data collection device 100 and the control device 200 may be provided on the cloud server.
  • the evaluation unit 103 has obtained the distribution of operation data for a single evaluation item of "operation time", but may obtain the distribution for a combination of evaluation items. For example, a histogram may be obtained in which an item combining a model and an abnormality code is used as a class. Further, for example, in general, the amount of accumulated operation data of the air conditioning system constructed in the office is large, but the amount of accumulated operation data of the air conditioning system constructed in the ward is small. In such a case, by combining the evaluation items and creating a class representing the characteristics of the ward, it is possible to efficiently collect the operation data of the ward.
  • the consideration has been described as an evaluation point that can be used for discounting the service usage fee, but the consideration is not limited to this.
  • it may be money, a ticket to receive a business trip service in the event of a breakdown free of charge, a right to receive a higher-priced remote control service, or the like.
  • the evaluation points are corrected based only on the addition rate of the additional data, but the correction amount of the evaluation points may be changed according to the type of the additional data.
  • the correction amount is changed based on the utility value of the additional data, the difficulty of acquiring the additional data, and the like.
  • operation data to which data that affects the efficiency of the air conditioner, such as data on the heat insulation of the property, is added, is corrected so that the evaluation point has a higher value.
  • the consideration can be defined according to the type of the additional data, and the cost of the consideration to be paid can be suppressed as compared with the case where the consideration is paid uniformly for all the additional data.
  • the data collection process of FIG. 8 is executed in a one-hour cycle
  • the control process of FIG. 9 is executed in a one-hour cycle at the timing when the data collection process is completed.
  • the data collection process of FIG. 8 and the control process of FIG. 9 may be periodically executed at predetermined timings, respectively.
  • the order of the steps of the control process executed by the control device 200 is not limited to the order shown in FIG.
  • the order of step S201 and step S202 can be exchanged.
  • the data related to the embodiment of the personal computer or information terminal device can be applied. It is also possible to function as the collection device 100 and the control device 200.
  • the distribution method of such a program is arbitrary, and is stored and distributed in a computer-readable recording medium such as a CD-ROM (Compact Disk Read-Only Memory), a DVD (Digital Versatile Disk), or a memory card. It may be distributed via a communication network such as the Internet.
  • a computer-readable recording medium such as a CD-ROM (Compact Disk Read-Only Memory), a DVD (Digital Versatile Disk), or a memory card. It may be distributed via a communication network such as the Internet.
  • Remote control system 11,21 processor, 12,22 main memory, 13,23 auxiliary memory, 14,24 communication unit, 15,25 input unit, 16,26 output unit, 17,27 RTC, 100 data collection Device, 101 collection unit, 102 operation data storage unit, 103 evaluation unit, 104 decision unit, 105 presentation unit, 106 reception unit, 107 classification unit, 200 control device, 201 control unit, 202 usage data storage unit, 203 notification unit, 211 control execution unit, 212 failure diagnosis unit, 300 air conditioning system, 310 air conditioner, 311 indoor unit, 312 outdoor unit, 320 system controller, 330 connection terminal, 400 network, 500 images.

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