WO2024052995A1 - Device for assisting in maintenance contract plan determination, and system for assisting in maintenance contract plan determination - Google Patents

Device for assisting in maintenance contract plan determination, and system for assisting in maintenance contract plan determination Download PDF

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Publication number
WO2024052995A1
WO2024052995A1 PCT/JP2022/033437 JP2022033437W WO2024052995A1 WO 2024052995 A1 WO2024052995 A1 WO 2024052995A1 JP 2022033437 W JP2022033437 W JP 2022033437W WO 2024052995 A1 WO2024052995 A1 WO 2024052995A1
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usage behavior
contract plan
maintenance contract
index value
facility
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PCT/JP2022/033437
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French (fr)
Japanese (ja)
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寛明 多田
仁 川▲崎▼
哲美 井澤
恭平 濱田
渉 伏見
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三菱電機ビルソリューションズ株式会社
三菱電機株式会社
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Priority to PCT/JP2022/033437 priority Critical patent/WO2024052995A1/en
Publication of WO2024052995A1 publication Critical patent/WO2024052995A1/en

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B3/00Applications of devices for indicating or signalling operating conditions of elevators
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00Applications of checking, fault-correcting, or safety devices in elevators

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  • the present disclosure relates to technology that supports determining a maintenance contract plan for elevators and escalators.
  • Patent Document 1 discloses a technique related to a method for calculating maintenance fees for elevators.
  • the maintenance fee is calculated by taking into account not only elevator operation information, but also the aging status and the dispatch status of maintenance personnel, as a maintenance fee calculation method that is likely to increase the satisfaction of elevator users.
  • the present disclosure has been made in order to solve the above-mentioned problems, and aims to provide technology that is advantageous in determining a maintenance contract plan that will provide a high level of satisfaction to maintenance contractors for elevators and escalators.
  • the maintenance contract plan decision support device of the present disclosure includes a usage behavior calculation unit that calculates a usage behavior index value that is an index value of the usage behavior of a facility user over a certain period in the past for a target facility in which an elevator is installed;
  • the system includes a usage behavior evaluation unit that calculates an evaluation result that ranks the superiority or inferiority of usage behavior based on the value, and a contract plan selection unit that selects a maintenance contract plan based on the evaluation result.
  • the maintenance contract plan decision support system of the present disclosure includes an elevator, a human sensor that is placed in the target facility where the elevator is installed, and that detects the entry and exit of facility users into the detection area.
  • a maintenance contract plan determination support device that determines a maintenance contract plan based on equipment data detected by the The probability of a facility user moving out of the detection area when the standard stay time has elapsed is calculated using the stay time over a certain period in the past.
  • a usage behavior calculation unit that calculates a usage behavior index value that is an indicator of usage behavior; a usage behavior evaluation unit that calculates an evaluation result that ranks the superiority or inferiority of usage behavior based on the usage behavior index value; and a contract plan selection unit that selects a maintenance contract plan based on the maintenance contract plan.
  • FIG. 1 is a block diagram showing a configuration example of a maintenance contract plan determination support system according to a first embodiment
  • FIG. FIG. 2 is a functional block diagram showing an example of the internal configuration of a storage device.
  • FIG. 3 is a functional block diagram showing functions realized by a processor of the control device executing a program.
  • FIG. 3 is a diagram for explaining usage behavior calculation processing according to the first embodiment.
  • 3 is a flowchart showing a routine of usage behavior calculation processing executed by the control device 12.
  • FIG. 3 is a flowchart showing a routine of usage behavior evaluation processing and contract plan selection processing executed by the control device 12.
  • FIG. FIG. 3 is a diagram for explaining the overall configuration of a maintenance contract plan decision support system according to a second embodiment. It is a table illustrating modified examples of usage behavior. It is a figure which shows the modification of the hardware resource of a control device.
  • FIG. 1 is a block diagram showing an example of the configuration of the maintenance contract plan determination support system according to the first embodiment.
  • the maintenance contract plan determination support system 100 according to the present embodiment is a system that determines a maintenance contract plan for the elevator 2.
  • the elevator 2 is, for example, an elevator.
  • the lift 2 may be an escalator or a moving walkway.
  • the elevator 2 is installed in a target facility such as a tenant building.
  • the maintenance contract plan decision support system 100 includes a maintenance contract plan decision support device 10, an elevator 2, and a human sensor 4.
  • the maintenance contract plan decision support device 10, the elevator 2, and the human sensor 4 are connected to each other via a network 6.
  • the network 6 is a wireless or wired communication network.
  • network 6 is the Internet.
  • the human sensor 4 is a detection device for detecting the entry and exit of a person into the detection area.
  • the human sensor 4 is, for example, a passive sensor.
  • the human sensor 4 is placed at one or more locations within the target facility where the elevator 2 is installed.
  • the area detected by the human sensor 4 is hereinafter referred to as a "detection area".
  • the human sensor 4 switches the detection signal from OFF to ON while a person enters the detection area.
  • the ON/OFF detection signal detected by the human sensor 4 is also called equipment data because it is part of the data regarding the equipment of the target facility.
  • the maintenance contract plan determination support device 10 is a device for determining a maintenance contract plan for the elevator 2.
  • the maintenance contract plan here includes a contract for costs related to maintenance management of the elevator 2.
  • the maintenance contract plan decision support device 10 includes a control device 12, a communication device 18, and a storage device 20.
  • the communication device 18 is an input/output interface that controls communication with the outside of the maintenance contract plan decision support device 10.
  • the communication device 18 communicates with the elevator 2 and the human sensor 4 via the network 6.
  • Equipment data detected by the human sensor 4 is taken into the maintenance contract plan decision support device 10 using the communication device 18.
  • data used for determining a maintenance contract plan is taken into the maintenance contract plan determination support device 10 using the communication device 18.
  • Such elevator 2 data includes, for example, operation history data that stores the operation history of the elevator 2, aging status data that stores the aging status of the elevator 2, and maintenance attendance data that stores the maintenance attendance history of the elevator 2. is exemplified.
  • the storage device 20 is a device that temporarily stores data processed by the maintenance contract plan decision support device 10 and also stores various databases.
  • the storage device 20 is, for example, a RAM, an HDD, or the like.
  • FIG. 2 is a functional block diagram showing an example of the internal configuration of the storage device 20.
  • the storage device 20 includes an operating status data storage unit 201, an aging status data storage unit 202, a maintenance attendance data storage unit 203, an equipment data storage unit 204, a calculation rule storage unit 205, It includes a usage behavior data storage section 206, an evaluation rule storage section 207, an evaluation result data storage section 208, and a contract plan storage section 209.
  • the operating status data storage unit 201, aging status data storage unit 202, and maintenance attendance data storage unit 203 store operating status data measured from operation history data taken in from the elevator 2 and aging status data in which the aging status of the elevator 2 is stored. , and maintenance attendance data in which the maintenance attendance history of the elevator 2 is stored.
  • the equipment data storage unit 204 stores equipment data detected by the human sensor 4.
  • the calculation rule storage unit 205, usage behavior data storage unit 206, evaluation rule storage unit 207, evaluation result data storage unit 208, and contract plan storage unit 209 store data processed in usage behavior calculation processing and usage behavior evaluation processing, which will be described later. is stored.
  • control device 12 has the function of a processing device as a computer.
  • controller 12 includes at least one processor 14 and at least one memory 16 coupled to processor 14 .
  • the memory 16 stores at least one program 161 executable by the processor 14 and various data 162 related thereto.
  • FIG. 3 is a functional block diagram showing functions realized by the processor 14 of the control device 12 executing the program 161.
  • the processor 14 includes a data acquisition unit 141, an operating status measurement unit 142, a maintenance fee calculation unit 143, a billing unit 144, a usage behavior calculation unit 145, a usage behavior evaluation unit 146, A contract plan selection section 147 is provided.
  • the data acquisition unit 141 is a functional block for executing a data acquisition process of acquiring equipment data transmitted from the human sensor 4 from the communication device 18.
  • the equipment data taken in by the data acquisition process is stored in the equipment data storage unit 204.
  • the operating status measurement unit 142 is a functional block for executing an operating status measurement process that measures the operating status of the elevator 2 based on the operation history data taken in from the elevator 2. Examples of the operating status here include the operating status of the elevator 2, the history of button operations, the torque when the door gauge is closed, the weighing value in the car, and the like. The measured operating status is stored in the operating status data storage unit 201.
  • the maintenance fee calculation unit 143 is a functional block for executing maintenance fee calculation processing for calculating the maintenance fee for the elevator 2. In the maintenance fee calculation process, the maintenance fee calculation unit 143 calculates the maintenance fee based on operating status data, aging status data, maintenance attendance data, and a maintenance contract plan to be described later. The maintenance fee calculated in the maintenance fee calculation process is sent to the billing unit 144.
  • the billing unit 144 is a functional block for presenting the maintenance fee sent from the maintenance fee calculation unit 143 to the maintenance contractor.
  • the usage behavior calculation unit 145 is a functional block for executing usage behavior calculation processing that calculates an index value of usage behavior of facility users for the target facility where the elevator 2 is installed.
  • the usage behavior index value here is an index value for determining whether the usage behavior of the target facility by the facility user is excellent, and is hereinafter referred to as the "usage behavior index value.”
  • the maintenance contract plan decision support device 10 of the present embodiment calculates, as a usage behavior index value, an index indicating whether or not the facility user's movement behavior within the target facility is in a hurry, which is determined from the detection signal of the human sensor 4. It has certain characteristics.
  • the calculation rule storage unit 205 stores calculation rules for calculations performed in the usage behavior calculation process.
  • the usage behavior calculation unit 145 calculates usage behavior according to the calculation rule read from the calculation rule storage unit 205.
  • the calculated usage behavior data is stored in the usage behavior data storage unit 206. Details of the usage behavior calculation process will be described later.
  • the evaluation rule storage unit 207 stores evaluation rules for evaluation performed in the evaluation result calculation process.
  • the usage behavior evaluation section 146 comprehensively evaluates the usage behavior for each detection area according to the evaluation rule read out from the evaluation rule storage section 207. Evaluation result data is stored in the evaluation result data storage section 208. Details of the usage behavior evaluation process will be described later.
  • the contract plan storage unit 209 stores maintenance contract plans that are options selected in the contract plan selection process.
  • the contract plan selection unit 147 selects one of the maintenance contract plan options stored in the contract plan storage unit 209 based on the evaluation result read from the evaluation result data storage unit 208. This process is hereinafter referred to as "contract plan selection process.”
  • the selected maintenance contract plan is sent to the maintenance fee calculation unit 143.
  • FIG. 4 is a diagram for explaining the usage behavior calculation process of the first embodiment.
  • the human sensor 4 is installed on the ceiling of a passageway in the target facility where the elevator 2 is installed.
  • the detection signal of the human sensor 4 is switched from OFF to ON.
  • the detection signal of the human sensor 4 switches from ON to OFF.
  • the period during which the detection signal of the human sensor 4 is ON ie, the time (t2-t1), will be referred to as the "stay time" of the facility user in the detection area.
  • Such human sensors 4 are installed at multiple locations within the target facility.
  • the detection signal of each human sensor 4 is stored in the equipment data storage unit 204 as equipment data after being associated with the time of detection.
  • FIG. 5 is a flowchart showing the routine of the usage behavior calculation process executed by the control device 12.
  • a method in which the control device 12 calculates usage behavior through usage behavior calculation processing will be described.
  • a usage behavior calculation rule is acquired from the calculation rule storage unit 205.
  • the calculation rules here include the equipment data acquisition period, usage behavior calculation method, and the like.
  • step S102 equipment data for a certain period of time in the past is acquired from the elevator 2 according to the acquired calculation rule.
  • the equipment data includes detection signals of all installed human sensors 4 and their detection times.
  • the past fixed period here is, for example, the past one month.
  • the acquired equipment data is stored in the equipment data storage section 204.
  • step S104 it is determined whether calculation of usage behavior has been completed in all detection areas.
  • the detection area here is a detection area assigned to each human sensor 4.
  • the usage behavior has not been calculated yet, so the process proceeds to step S106.
  • step S106 a detection area is selected.
  • one of the detection areas whose usage behavior has not yet been calculated is selected.
  • step S108 usage behavior is calculated from the equipment data of the detection area selected in step S106 according to the acquired calculation rule.
  • the stay time is calculated from each of the equipment data of the selected detection area.
  • the obtained residence time distribution is fitted to the Weibull distribution, and parameters ⁇ and ⁇ of the probability density function shown in equation (1) are determined.
  • step S108 the standard stay time corresponding to the selected detection area is read.
  • the standard stay time here is a standard value of the time that a facility user in a normal state who is not in a hurry stays in the detection area, and is a predetermined value.
  • a hazard function representing the probability of movement out of the detection area after time t has elapsed is calculated.
  • the hazard function is shown in equation (2).
  • the standard sojourn time is given to the hazard function, and the probability of moving out of the detection area when the standard sojourn time has elapsed is calculated.
  • the calculated movement probability is stored in the usage behavior data storage unit 206 as a usage behavior index value for the detection area.
  • step S108 When the process of step S108 is completed, the process proceeds to step S104 again. Then, by repeatedly executing the processes from step S104 to step S108, usage behavior is calculated for all detection areas, and this routine ends.
  • FIG. 6 is a flowchart showing a routine of usage behavior evaluation processing and contract plan selection processing executed by the control device 12.
  • an evaluation rule is acquired from the evaluation rule storage unit 207.
  • the evaluation rules here include evaluation methods for usage behavior.
  • step S122 it is determined whether evaluation of usage behavior has been completed in all detection areas. In the first step S122, the usage behavior has not been evaluated yet, so the process proceeds to step S124.
  • step S124 a detection area to be evaluated is selected.
  • one of the detection areas whose usage behavior has not yet been evaluated is selected.
  • step S126 the movement probability of the selected detection area is read from the usage behavior data storage unit 206.
  • the movement probability statistically indicates that the higher the probability value, the greater the proportion of facility users who passed through the detection area in a hurry. Facility users' usage behavior when they are in a hurry is likely to be more sloppy than when they are not. In other words, it can be said that the movement probability is a value that can be used as an index for determining the superiority or inferiority of the usage behavior of facility users. Therefore, the evaluation rules define the relationship between movement probability and the superiority or inferiority of usage behavior.
  • a first range with a low probability of movement is associated with rank A, where the usage behavior is excellent
  • a second range, which is higher than the first range is associated with rank B, where the usage behavior is average
  • a third range higher than the second range is associated with rank C, which indicates bad usage behavior.
  • the first range, the second range, and the third range are examples of evaluation criteria for ranking the superiority or inferiority of usage behavior. There are no limitations on the number of ranks and the range of ranks.
  • step S126 according to the acquired evaluation rule, it is determined to which range of the first range, second range, or third range the movement probability of the detection area selected in step S124 belongs. Then, a rank corresponding to the determination result is calculated as the evaluation result. The calculated evaluation results are stored in the evaluation result data storage section 208.
  • step S126 When the process of step S126 is completed, the process proceeds to step S122 again. Then, by repeatedly executing the processes from step S122 to step S126, usage behavior is evaluated for all detection areas, and the process proceeds to step S128. In this way, steps S120 to S126 are steps for executing the usage behavior evaluation process.
  • Step S128 is a step of executing contract plan selection processing.
  • a maintenance contract plan is selected based on the evaluation result.
  • the contract plan storage unit 209 stores a plurality of maintenance contract plans corresponding to the superiority and inferiority of usage behavior.
  • the plurality of contract plans have different standards for calculating maintenance fees.
  • one of the plurality of maintenance contract plans stored in the contract plan storage section 209 is selected based on the evaluation results corresponding to each detection area. There is no limitation on the method of selecting a maintenance contract plan, as long as it is selected so that the better the usage behavior is, the greater the benefit to the maintenance contractor regarding the maintenance fee will be.
  • the usage behavior calculation process as described above, it is possible to calculate the movement probability as the usage behavior index value for all detection areas within the target facility. Further, according to the usage behavior evaluation process, it is possible to evaluate whether the usage behavior of facility users is good or not, and to reflect this in the selection of a maintenance contract plan. As a result, it is possible to increase the level of satisfaction with maintenance fees among maintenance contractors of target facilities with excellent usage behavior.
  • FIG. 7 is a diagram for explaining the overall configuration of the maintenance contract plan decision support system according to the second embodiment.
  • the maintenance contract plan decision support system 200 of the second embodiment includes, in addition to the maintenance contract plan decision support system 100 of the first embodiment, an entry/exit history acquisition device 5 at the entrance of the target facility.
  • the entry/exit history acquisition device 5 is a device for obtaining a history of entry/exit to the floor area where the platform 2a of the elevator 2 of the target facility is installed.
  • the entry/exit history acquisition device 5 stores entry/exit history information in which the time of entry/exit is associated with the ID information by reading the ID information of the facility user.
  • the room entry/exit history acquisition device 5 is connected to the maintenance contract plan decision support device 10 via the network 6.
  • the entry/exit history information acquired by the entry/exit history acquisition device 5 is taken into the maintenance contract plan decision support device 10 using the communication device 18 and stored in the equipment data storage unit 204 as part of the equipment data.
  • the data acquisition unit 141 acquires the operation history of the elevator 2 as part of the equipment data, and stores it in the equipment data storage unit 204.
  • the operation history here includes information on the time when the car arrived by registering a hall call from the platform 2a of the elevator 2.
  • the maintenance contract plan decision support device 10 further uses the entry/exit history information and the operation history in the usage behavior calculation process.
  • the operation history of the elevator 2 is acquired, and from the acquired operation history, the arrival time when the car arrived at the platform 2a by registering a platform call from the platform 2a. is read out.
  • the facility user who registered the platform call from platform 2a is the facility user who entered the floor area immediately before, the facility user's entry time is determined from the previous entry/exit history information. is obtained.
  • the time from the acquired entry time to the arrival time when the car arrives corresponds to the travel time from when the facility user using the elevator 2 enters the floor area until when he gets on the elevator 2.
  • a hazard function representing the movement probability of moving out of the detection area when the standard stay time has elapsed is calculated using the Weibull distribution and the standard stay time.
  • the calculated movement probability is stored in the usage behavior data storage unit 206 as an index value of the usage behavior of the detection area.
  • the usage behavior is calculated by dividing only the time period related to the movement of the facility user who uses the elevator 2. This deepens the relationship between the calculated usage behavior and the usage behavior of the elevator 2, so that the usage behavior of the elevator 2 can be grasped more accurately.
  • the maintenance contract plan decision support system 100 of this embodiment may be modified as follows.
  • the method of calculating the usage behavior from the equipment data of the detection area is not limited to the method using the Weibull distribution, but may also use other known probability density functions.
  • the maintenance contract plan selection support system 100 may select a maintenance contract plan at the request of the maintenance contractor, or may select the maintenance contract plan periodically, such as every predetermined period or at the time of contract renewal. may be executed. Alternatively, if there is a change in tenants within the target facility, there is a possibility that the usage behavior of facility users will change. Therefore, the maintenance contract plan decision support system 100 executes the usage behavior evaluation process when the usage behavior for a certain period in the past has changed from the standard value from the usage behavior for a period longer than the certain period in the past. You may also want to re-evaluate your usage behavior.
  • the reference value here is a threshold value for determining the degree of change in usage behavior, and a predetermined value is used.
  • the maintenance contract plan decision support system 100 may execute a notification process in the notification unit of the processor 14 to notify the maintenance contractor that the usage behavior has changed. There are no restrictions on the form of notification. According to such an operation, the maintenance contract plan can be changed at a more appropriate timing.
  • Usage behavior evaluation processing The evaluation method using usage behavior evaluation processing not only ranks each target facility based on absolute evaluation criteria, but also ranks based on relative comparison with usage behavior of other target facilities. Good too.
  • the usage behavior evaluation unit 146 further calculates a ranking result that ranks the superiority or inferiority of usage behavior between the target facility and other facilities based on the usage behavior index value.
  • the contract plan selection unit selects a maintenance contract plan based on the evaluation results and ranking results in the contract plan selection process. According to such an operation, for example, even if the target facilities are classified into evaluations of the same rank, different contract plans can be selected in consideration of the ranking. This allows a more detailed maintenance contract plan to be determined.
  • Usage behavior may change to the advantageous side, such as when the equipment of the elevator 2 in the target facility is replaced or monitoring is strengthened through an option contract. In such a case, it may be determined that the real estate value of the target facility has improved, and the usage behavior evaluation process may be executed to re-evaluate the usage behavior. Furthermore, in the contract plan selection process, in addition to the evaluation results of usage behavior, the contribution to the improvement of real estate value may be considered. In this case, for example, if the usage behavior changes to the favorable side, the usage behavior evaluation unit 146 calculates the degree of contribution of the target facility to the real estate value in the usage behavior evaluation process.
  • Such a degree of contribution may be estimated by comparing, for example, the amount of reduction in management costs, the reduction in the number of complaints, the maintenance period of the interior of the target facility, etc. with the actual results at other facilities. Then, in the contract plan selection process, the contract plan selection unit 147 selects a maintenance contract plan based on the evaluation result and the degree of contribution. According to such an operation, it becomes possible to determine a maintenance contract plan that takes into account the degree of contribution of real estate value.
  • the evaluation results of each of the multiple usage behaviors are calculated in the usage behavior evaluation process, and the A final evaluation result may be calculated from the evaluation results.
  • the evaluation result is calculated using the number of vibrations at which the vibration sensor detects vibrations greater than a reference value as the usage behavior index value.
  • the evaluation result is calculated using the movement probability calculated from the stay time in the detection area including the door of the elevator as the elevator 2 as the usage behavior index value.
  • Each evaluation result here may be ranked based on evaluation criteria or may be ranked based on relative comparison with usage behavior of other target facilities.
  • the ranking obtained by adding these two evaluation results is used as the final evaluation result.
  • the evaluation result is a ranking, for example, an intermediate value between the ranks of these two evaluation results is used as the final evaluation result. According to such an operation, the accuracy of evaluation of usage behavior increases, so that a more optimal maintenance contract plan can be determined.
  • the usage behavior of facility users is not limited to the stay time within the detection area calculated from the detection signal of the human sensor 4. That is, as long as the behavior can determine the superiority or inferiority of the use of the target facility, it may be only the number of vibrations detected by the vibration sensor described above, or it may be the usage behavior shown in the table of FIG. 8, for example.
  • FIG. 8 shows modified examples of usage behavior, examples of each usage behavior, and related data that can be used to detect usage behavior.
  • FIG. 9 is a diagram showing a modification of the hardware resources of the control device 12.
  • the control device 12 includes a processing circuit 17 including, for example, a processor 14, a memory 16, and dedicated hardware 15.
  • FIG. 9 shows an example in which some of the functions of the control device 12 are realized by dedicated hardware 15. All of the functions of the control device 12 may be realized by dedicated hardware 15.
  • the dedicated hardware 15 can be a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof.

Abstract

This system for assisting in maintenance contract plan determination comprises an elevator, a motion sensor disposed in an object facility in which the elevator is installed, and a device for assisting in maintenance contract plan determination that determines a maintenance contract plan on the basis of a detection signal from the motion sensor. The device for assisting in maintenance contract plan determination is configured so as to use the motion sensor to calculate a residence time for which a facility user stays in a detection area, use the residence time to calculate, as a utilization behavior index value, a movement probability of the facility user moving outside the detection area when a reference residence time has elapsed, calculate an evaluation result in which the relative merits of utilization behaviors are ranked on the basis of the utilization behavior index value, and select a maintenance contract plan on the basis of the evaluation result.

Description

保守契約プラン決定支援装置、及び保守契約プラン決定支援システムMaintenance contract plan decision support device and maintenance contract plan decision support system
 本開示は、昇降機の保守契約プランの決定を支援する技術に関する。 The present disclosure relates to technology that supports determining a maintenance contract plan for elevators and escalators.
 特許文献1には、エレベーターの保守料金算出方法に関する技術が開示されている。この技術では、エレベーター利用者の満足度を得られやすい保守料金算出方法として、エレベーターの稼働情報のほか、経年状況及び保守員の出動状況を考慮して保守料金が算出される。 Patent Document 1 discloses a technique related to a method for calculating maintenance fees for elevators. With this technology, the maintenance fee is calculated by taking into account not only elevator operation information, but also the aging status and the dispatch status of maintenance personnel, as a maintenance fee calculation method that is likely to increase the satisfaction of elevator users.
日本特開2002-12376号公報Japanese Patent Application Publication No. 2002-12376
 エレベーター、エスカレーター等の昇降機は、利用者の利用行動によって将来的な保守負担が変動する。例えば、利用者の利用行動が優良であれば、粗雑な場合よりも将来的な部品交換回数又は保守員の出動回数を抑えることが期待できる。特許文献1の技術では、このような潜在的な要因を保守契約プランの決定に反映させることについて、改善の余地がある。 For elevators, escalators, and other elevators, the future maintenance burden will vary depending on the usage behavior of users. For example, if the user's usage behavior is excellent, it can be expected that the number of parts replacements or maintenance personnel dispatched in the future will be reduced compared to the case where the usage behavior is poor. With the technology of Patent Document 1, there is room for improvement in reflecting such potential factors in determining a maintenance contract plan.
 本開示は、上述のような課題を解決するためになされたもので、昇降機の保守契約者の満足度が高い保守契約プランを決定する上で有利になる技術を提供することを目的とする。 The present disclosure has been made in order to solve the above-mentioned problems, and aims to provide technology that is advantageous in determining a maintenance contract plan that will provide a high level of satisfaction to maintenance contractors for elevators and escalators.
 本開示の保守契約プラン決定支援装置は、昇降機が設置された対象施設に対する施設利用者の過去一定期間の利用行動の指標値である利用行動指標値を算出する利用行動算出部と、利用行動指標値に基づいて、利用行動の優劣をランク付けした評価結果を算出する利用行動評価部と、評価結果に基づいて、保守契約プランを選択する契約プラン選択部と、を備えるものである。 The maintenance contract plan decision support device of the present disclosure includes a usage behavior calculation unit that calculates a usage behavior index value that is an index value of the usage behavior of a facility user over a certain period in the past for a target facility in which an elevator is installed; The system includes a usage behavior evaluation unit that calculates an evaluation result that ranks the superiority or inferiority of usage behavior based on the value, and a contract plan selection unit that selects a maintenance contract plan based on the evaluation result.
 また、本開示の保守契約プラン決定支援システムは、昇降機と、昇降機が設置された対象施設に配置され、検知エリア内への施設利用者の進入及び退出を検知する人感センサと、人感センサによって検知される設備データに基づいて、保守契約プランを決定する保守契約プラン決定支援装置と、を備え、保守契約プラン決定支援装置は、設備データを用いて、施設利用者が検知エリア内に滞在している滞在時間を算出し、過去一定期間における滞在時間を用いて、標準滞在時間の経過時に施設利用者が検知エリアの外へ移動する移動確率を、対象施設に対する施設利用者の過去一定期間の利用行動の指標となる利用行動指標値として算出する利用行動算出部と、利用行動指標値に基づいて、利用行動の優劣をランク付けした評価結果を算出する利用行動評価部と、評価結果に基づいて、保守契約プランを選択する契約プラン選択部と、を備えるものである。 In addition, the maintenance contract plan decision support system of the present disclosure includes an elevator, a human sensor that is placed in the target facility where the elevator is installed, and that detects the entry and exit of facility users into the detection area. a maintenance contract plan determination support device that determines a maintenance contract plan based on equipment data detected by the The probability of a facility user moving out of the detection area when the standard stay time has elapsed is calculated using the stay time over a certain period in the past. a usage behavior calculation unit that calculates a usage behavior index value that is an indicator of usage behavior; a usage behavior evaluation unit that calculates an evaluation result that ranks the superiority or inferiority of usage behavior based on the usage behavior index value; and a contract plan selection unit that selects a maintenance contract plan based on the maintenance contract plan.
 本開示の技術によれば、昇降機が設置されている対象施設の施設利用者の利用行動の優劣を保守契約プランの決定に反映させることができる。これにより、昇降機の保守契約者の満足度が高い保守契約プランを決定することが可能となる。 According to the technology of the present disclosure, it is possible to reflect the superiority or inferiority of usage behavior of facility users of a target facility where elevators and escalators are installed in determining a maintenance contract plan. This makes it possible to determine a maintenance contract plan that will provide a high degree of satisfaction to the elevator maintenance contractor.
実施の形態1の保守契約プラン決定支援システムの構成例を示すブロック図である。1 is a block diagram showing a configuration example of a maintenance contract plan determination support system according to a first embodiment; FIG. 記憶装置の内部構成例を示す機能ブロック図である。FIG. 2 is a functional block diagram showing an example of the internal configuration of a storage device. 制御装置のプロセッサがプログラムを実行することによって実現される機能を示す機能ブロック図である。FIG. 3 is a functional block diagram showing functions realized by a processor of the control device executing a program. 実施の形態1の利用行動算出処理を説明するための図である。FIG. 3 is a diagram for explaining usage behavior calculation processing according to the first embodiment. 制御装置12が実行する利用行動算出処理のルーチンを示すフローチャートである。3 is a flowchart showing a routine of usage behavior calculation processing executed by the control device 12. FIG. 制御装置12が実行する利用行動評価処理及び及び契約プラン選択処理のルーチンを示すフローチャートである。3 is a flowchart showing a routine of usage behavior evaluation processing and contract plan selection processing executed by the control device 12. FIG. 実施の形態2の保守契約プラン決定支援システムの全体構成を説明するための図である。FIG. 3 is a diagram for explaining the overall configuration of a maintenance contract plan decision support system according to a second embodiment. 利用行動の変形例を例示した表である。It is a table illustrating modified examples of usage behavior. 制御装置のハードウェア資源の変形例を示す図である。It is a figure which shows the modification of the hardware resource of a control device.
 以下、図面を参照して実施の形態について説明する。なお、各図において共通する要素には、同一の符号を付して、重複する説明を省略する。 Hereinafter, embodiments will be described with reference to the drawings. Note that common elements in each figure are denoted by the same reference numerals, and redundant explanations will be omitted.
1.実施の形態1.
1-1.保守契約プラン決定支援システムの全体構成
 図1は、実施の形態1の保守契約プラン決定支援システムの構成例を示すブロック図である。本実施の形態に係る保守契約プラン決定支援システム100は、昇降機2の保守契約プランを決定するシステムである。昇降機2は、例えばエレベーターである。昇降機2は、エスカレーター又は動く歩道であってもよい。昇降機2は、テナントビル等の対象施設に設置されている。
1. Embodiment 1.
1-1. Overall Configuration of Maintenance Contract Plan Determination Support System FIG. 1 is a block diagram showing an example of the configuration of the maintenance contract plan determination support system according to the first embodiment. The maintenance contract plan determination support system 100 according to the present embodiment is a system that determines a maintenance contract plan for the elevator 2. The elevator 2 is, for example, an elevator. The lift 2 may be an escalator or a moving walkway. The elevator 2 is installed in a target facility such as a tenant building.
 保守契約プラン決定支援システム100は、保守契約プラン決定支援装置10と、昇降機2と、人感センサ4と、を備えている。保守契約プラン決定支援装置10と昇降機2と人感センサ4とは、ネットワーク6を介して互いに接続されている。ネットワーク6は、無線又は有線による通信網である。例えば、ネットワーク6は、インターネットである。 The maintenance contract plan decision support system 100 includes a maintenance contract plan decision support device 10, an elevator 2, and a human sensor 4. The maintenance contract plan decision support device 10, the elevator 2, and the human sensor 4 are connected to each other via a network 6. The network 6 is a wireless or wired communication network. For example, network 6 is the Internet.
 人感センサ4は、検知エリア内への人の進入及び退出を検知するための検知装置である。人感センサ4は、例えばパッシブセンサである。人感センサ4は、昇降機2が設置されている対象施設内において1又は複数箇所に配置される。人感センサ4によって検知されるエリアは、以下「検知エリア」と呼ばれる。人感センサ4は、検知エリア内に人が進入している間、検知信号をOFFからON信号へと切り替える。人感センサ4によって検知されるON/OFFの検知信号は、対象施設の設備に関するデータの一部であることから、設備データとも呼ばれる。 The human sensor 4 is a detection device for detecting the entry and exit of a person into the detection area. The human sensor 4 is, for example, a passive sensor. The human sensor 4 is placed at one or more locations within the target facility where the elevator 2 is installed. The area detected by the human sensor 4 is hereinafter referred to as a "detection area". The human sensor 4 switches the detection signal from OFF to ON while a person enters the detection area. The ON/OFF detection signal detected by the human sensor 4 is also called equipment data because it is part of the data regarding the equipment of the target facility.
 保守契約プラン決定支援装置10は、昇降機2の保守契約プランを決定するための装置である。ここでの保守契約プランは、昇降機2の保守管理に関する費用の契約を含む。保守契約プラン決定支援装置10は、制御装置12と、通信装置18と、記憶装置20と、を備えている。 The maintenance contract plan determination support device 10 is a device for determining a maintenance contract plan for the elevator 2. The maintenance contract plan here includes a contract for costs related to maintenance management of the elevator 2. The maintenance contract plan decision support device 10 includes a control device 12, a communication device 18, and a storage device 20.
 通信装置18は、保守契約プラン決定支援装置10の外部との通信を制御する入出力インターフェースである。通信装置18は、ネットワーク6を介して昇降機2及び人感センサ4と通信を行う。人感センサ4によって検知される設備データは、通信装置18を用いて保守契約プラン決定支援装置10に取り込まれる。また、昇降機2の各種データのうち、保守契約プランの決定に利用されるデータが、通信装置18を用いて保守契約プラン決定支援装置10に取り込まれる。このような昇降機2のデータは、例えば、昇降機2の運行履歴が記憶された運行履歴データ、昇降機2の経年状況が記憶された経年状況データ、昇降機2の保守出勤履歴が記憶された保守出勤データが例示される。 The communication device 18 is an input/output interface that controls communication with the outside of the maintenance contract plan decision support device 10. The communication device 18 communicates with the elevator 2 and the human sensor 4 via the network 6. Equipment data detected by the human sensor 4 is taken into the maintenance contract plan decision support device 10 using the communication device 18. Further, among the various data of the elevator 2, data used for determining a maintenance contract plan is taken into the maintenance contract plan determination support device 10 using the communication device 18. Such elevator 2 data includes, for example, operation history data that stores the operation history of the elevator 2, aging status data that stores the aging status of the elevator 2, and maintenance attendance data that stores the maintenance attendance history of the elevator 2. is exemplified.
 記憶装置20は、保守契約プラン決定支援装置10にて処理されるデータを一時的に格納するとともに、各種データベースを格納する装置である。記憶装置20は、例えばRAM、HDD等の記憶装置である。 The storage device 20 is a device that temporarily stores data processed by the maintenance contract plan decision support device 10 and also stores various databases. The storage device 20 is, for example, a RAM, an HDD, or the like.
1-2.記憶装置20の内部構成例
 図2は、記憶装置20の内部構成例を示す機能ブロック図である。この図に示す例では、記憶装置20は、稼働状況データ格納部201と、経年状況データ格納部202と、保守出勤データ格納部203と、設備データ格納部204と、算出ルール格納部205と、利用行動データ格納部206と、評価ルール格納部207と、評価結果データ格納部208と、契約プラン格納部209と、を備えている。
1-2. Example of Internal Configuration of Storage Device 20 FIG. 2 is a functional block diagram showing an example of the internal configuration of the storage device 20. As shown in FIG. In the example shown in this figure, the storage device 20 includes an operating status data storage unit 201, an aging status data storage unit 202, a maintenance attendance data storage unit 203, an equipment data storage unit 204, a calculation rule storage unit 205, It includes a usage behavior data storage section 206, an evaluation rule storage section 207, an evaluation result data storage section 208, and a contract plan storage section 209.
 稼働状況データ格納部201、経年状況データ格納部202、及び保守出勤データ格納部203は、昇降機2から取り込んだ運行履歴データから測定した稼働状況データ、昇降機2の経年状況が記憶された経年状況データ、及び昇降機2の保守出勤履歴が記憶された保守出勤データをそれぞれ格納する。設備データ格納部204は、人感センサ4によって検知された設備データが格納される。 The operating status data storage unit 201, aging status data storage unit 202, and maintenance attendance data storage unit 203 store operating status data measured from operation history data taken in from the elevator 2 and aging status data in which the aging status of the elevator 2 is stored. , and maintenance attendance data in which the maintenance attendance history of the elevator 2 is stored. The equipment data storage unit 204 stores equipment data detected by the human sensor 4.
 算出ルール格納部205、利用行動データ格納部206、評価ルール格納部207、評価結果データ格納部208、及び契約プラン格納部209は、後述する利用行動算出処理及び利用行動評価処理において処理されるデータが格納される。 The calculation rule storage unit 205, usage behavior data storage unit 206, evaluation rule storage unit 207, evaluation result data storage unit 208, and contract plan storage unit 209 store data processed in usage behavior calculation processing and usage behavior evaluation processing, which will be described later. is stored.
1-3.制御装置12の内部構成例
 制御装置12は、コンピュータとしての処理装置の機能を備える。典型的には、制御装置12は、少なくとも1つのプロセッサ14とプロセッサ14に結合された少なくとも1つのメモリ16とを備えている。メモリ16は、プロセッサ14で実行可能な少なくとも1つのプログラム161とそれに関連する種々のデータ162とが記憶されている。
1-3. Example of Internal Configuration of Control Device 12 The control device 12 has the function of a processing device as a computer. Typically, controller 12 includes at least one processor 14 and at least one memory 16 coupled to processor 14 . The memory 16 stores at least one program 161 executable by the processor 14 and various data 162 related thereto.
 プロセッサ14がプログラム161を実行することにより、プロセッサ14による各種処理が実現される。図3は、制御装置12のプロセッサ14がプログラム161を実行することによって実現される機能を示す機能ブロック図である。図3に示すように、プロセッサ14は、データ取得部141と、稼働状況測定部142と、保守料金算出部143と、請求部144と、利用行動算出部145と、利用行動評価部146と、契約プラン選択部147と、を備えている。 Various processes by the processor 14 are realized by the processor 14 executing the program 161. FIG. 3 is a functional block diagram showing functions realized by the processor 14 of the control device 12 executing the program 161. As shown in FIG. 3, the processor 14 includes a data acquisition unit 141, an operating status measurement unit 142, a maintenance fee calculation unit 143, a billing unit 144, a usage behavior calculation unit 145, a usage behavior evaluation unit 146, A contract plan selection section 147 is provided.
 データ取得部141は、人感センサ4から送信される設備データを通信装置18から取り込むデータ取得取得処理を実行するための機能ブロックである。データ取得取得処理によって取り込まれた設備データは、設備データ格納部204に格納される。 The data acquisition unit 141 is a functional block for executing a data acquisition process of acquiring equipment data transmitted from the human sensor 4 from the communication device 18. The equipment data taken in by the data acquisition process is stored in the equipment data storage unit 204.
 稼働状況測定部142は、昇降機2から取り込んだ運行履歴データに基づいて昇降機2の稼働状況を測定する稼働状況測定処理を実行するための機能ブロックである。ここでの稼働状況は、例えば昇降機2の運行状況、ボタンの操作履歴、ドア計閉時のトルク、かご内の秤値、等が例示される。測定された稼働状況は、稼働状況データ格納部201に格納される。 The operating status measurement unit 142 is a functional block for executing an operating status measurement process that measures the operating status of the elevator 2 based on the operation history data taken in from the elevator 2. Examples of the operating status here include the operating status of the elevator 2, the history of button operations, the torque when the door gauge is closed, the weighing value in the car, and the like. The measured operating status is stored in the operating status data storage unit 201.
 保守料金算出部143は、昇降機2の保守料金を算出する保守料金算出処理を実行するための機能ブロックである。保守料金算出処理において、保守料金算出部143は、稼働状況データ、経年状況データ、保守出勤データ、及び後述する保守契約プランに基づいて、保守料金を算出する。保守料金算出処理において算出された保守料金は請求部144に送られる。 The maintenance fee calculation unit 143 is a functional block for executing maintenance fee calculation processing for calculating the maintenance fee for the elevator 2. In the maintenance fee calculation process, the maintenance fee calculation unit 143 calculates the maintenance fee based on operating status data, aging status data, maintenance attendance data, and a maintenance contract plan to be described later. The maintenance fee calculated in the maintenance fee calculation process is sent to the billing unit 144.
 請求部144は、保守料金算出部143から送られた保守料金を保守契約者に対して提示するための機能ブロックである。 The billing unit 144 is a functional block for presenting the maintenance fee sent from the maintenance fee calculation unit 143 to the maintenance contractor.
 利用行動算出部145は、昇降機2が設置されている対象施設に対する施設利用者の利用行動の指標値を算出する利用行動算出処理を実行するための機能ブロックである。ここでの利用行動の指標値は、施設利用者による対象施設の利用行動が優良かどうかを判断するための指標値であり、以下「利用行動指標値」と呼ばれる。本実施の形態の保守契約プラン決定支援装置10は、人感センサ4の検知信号から判断される施設利用者の対象施設内の移動行動が急いでいるかどうかの指標を利用行動指標値として算出する点に特徴を有している。 The usage behavior calculation unit 145 is a functional block for executing usage behavior calculation processing that calculates an index value of usage behavior of facility users for the target facility where the elevator 2 is installed. The usage behavior index value here is an index value for determining whether the usage behavior of the target facility by the facility user is excellent, and is hereinafter referred to as the "usage behavior index value." The maintenance contract plan decision support device 10 of the present embodiment calculates, as a usage behavior index value, an index indicating whether or not the facility user's movement behavior within the target facility is in a hurry, which is determined from the detection signal of the human sensor 4. It has certain characteristics.
 算出ルール格納部205は、利用行動算出処理で行われる演算の算出ルールが格納されている。利用行動算出部145は、算出ルール格納部205から読み出した算出ルールに従い利用行動を算出する。算出された利用行動のデータは、利用行動データ格納部206に格納される。利用行動算出処理の詳細は後述する。 The calculation rule storage unit 205 stores calculation rules for calculations performed in the usage behavior calculation process. The usage behavior calculation unit 145 calculates usage behavior according to the calculation rule read from the calculation rule storage unit 205. The calculated usage behavior data is stored in the usage behavior data storage unit 206. Details of the usage behavior calculation process will be described later.
 評価ルール格納部207は、評価結果算出処理で行われる評価の評価ルールが格納されている。利用行動評価部146は、評価ルール格納部207から読み出した評価ルールに従い、検知エリア毎の利用行動を総合的に評価する。評価結果のデータは、評価結果データ格納部208に格納される。利用行動評価処理の詳細は後述する。 The evaluation rule storage unit 207 stores evaluation rules for evaluation performed in the evaluation result calculation process. The usage behavior evaluation section 146 comprehensively evaluates the usage behavior for each detection area according to the evaluation rule read out from the evaluation rule storage section 207. Evaluation result data is stored in the evaluation result data storage section 208. Details of the usage behavior evaluation process will be described later.
 契約プラン格納部209は、契約プラン選択処理において選択される選択肢の保守契約プランが格納されている。契約プラン選択部147は、評価結果データ格納部208から読み出した評価結果に基づいて、契約プラン格納部209に格納されている保守契約プランの選択肢から1つを選択する。この処理は、以下「契約プラン選択処理」と呼ばれる。選択された保守契約プランは、保守料金算出部143に送られる。 The contract plan storage unit 209 stores maintenance contract plans that are options selected in the contract plan selection process. The contract plan selection unit 147 selects one of the maintenance contract plan options stored in the contract plan storage unit 209 based on the evaluation result read from the evaluation result data storage unit 208. This process is hereinafter referred to as "contract plan selection process." The selected maintenance contract plan is sent to the maintenance fee calculation unit 143.
1-4.保守契約プラン決定支援システム100の動作
 次に、保守契約プラン決定支援システム100において実行される利用行動算出処理、評価結果算出処理及び契約プラン選択処理の具体的処理について説明する。
1-4. Operation of Maintenance Contract Plan Determination Support System 100 Next, specific processing of the usage behavior calculation process, evaluation result calculation process, and contract plan selection process executed in the maintenance contract plan determination support system 100 will be described.
 図4は、実施の形態1の利用行動算出処理を説明するための図である。この図に示す例では、人感センサ4は、昇降機2が設置されている対象施設内の通路の天井に設置されている。施設利用者が人感センサ4の検知エリアに時間t1において進入すると、人感センサ4の検知信号がOFFからONに切り替わる。そして、当該施設利用者が検知エリア内を移動して時間t2において検知エリア外に移動すると、人感センサ4の検知信号がONからOFFに切り替わる。以下の説明では、人感センサ4の検知信号がONの期間、すなわち時間(t2-t1)を、当該施設利用者の検知エリア内での「滞在時間」と呼ぶ。このような人感センサ4が対象施設内の複数箇所に設置されている。それぞれの人感センサ4の検知信号は、検知された時間に関連付けられた上で、設備データとして設備データ格納部204に格納される。 FIG. 4 is a diagram for explaining the usage behavior calculation process of the first embodiment. In the example shown in this figure, the human sensor 4 is installed on the ceiling of a passageway in the target facility where the elevator 2 is installed. When a facility user enters the detection area of the human sensor 4 at time t1, the detection signal of the human sensor 4 is switched from OFF to ON. Then, when the facility user moves within the detection area and moves out of the detection area at time t2, the detection signal of the human sensor 4 switches from ON to OFF. In the following description, the period during which the detection signal of the human sensor 4 is ON, ie, the time (t2-t1), will be referred to as the "stay time" of the facility user in the detection area. Such human sensors 4 are installed at multiple locations within the target facility. The detection signal of each human sensor 4 is stored in the equipment data storage unit 204 as equipment data after being associated with the time of detection.
 図5は、制御装置12が実行する利用行動算出処理のルーチンを示すフローチャートである。以下、図5に示すフローチャートを参照しながら、制御装置12が利用行動算出処理によって利用行動を算出する方法について説明する。図5に示すルーチンのステップS100では、算出ルール格納部205から利用行動の算出ルールが取得される。ここでの算出ルールは、設備データの取得期間、利用行動の演算方法、等を含む。ステップS100の処理が完了すると、処理はステップS102に進む。 FIG. 5 is a flowchart showing the routine of the usage behavior calculation process executed by the control device 12. Hereinafter, with reference to the flowchart shown in FIG. 5, a method in which the control device 12 calculates usage behavior through usage behavior calculation processing will be described. In step S100 of the routine shown in FIG. 5, a usage behavior calculation rule is acquired from the calculation rule storage unit 205. The calculation rules here include the equipment data acquisition period, usage behavior calculation method, and the like. When the process of step S100 is completed, the process proceeds to step S102.
 ステップS102では、取得した算出ルールに従い、昇降機2から過去一定期間の設備データが取得される。設備データは、設置されている全ての人感センサ4の検知信号と、その検知時間を含む。ここでの過去一定期間は、例えば過去1か月間である。取得された設備データは、設備データ格納部204に格納される。ステップS102の処理が完了すると、処理はステップS104に進む。 In step S102, equipment data for a certain period of time in the past is acquired from the elevator 2 according to the acquired calculation rule. The equipment data includes detection signals of all installed human sensors 4 and their detection times. The past fixed period here is, for example, the past one month. The acquired equipment data is stored in the equipment data storage section 204. When the process of step S102 is completed, the process advances to step S104.
 ステップS104では、全ての検知エリアで利用行動の算出が完了したかどうかが判定される。ここでの検知エリアは、各人感センサ4に割り当てられた検知エリアである。初回のステップS104の処理では、未だ利用行動の算出が行われていないため、処理はステップS106に進む。 In step S104, it is determined whether calculation of usage behavior has been completed in all detection areas. The detection area here is a detection area assigned to each human sensor 4. In the first step S104, the usage behavior has not been calculated yet, so the process proceeds to step S106.
 ステップS106では、検知エリアが選択される。ここでは、未だ利用行動が算出されていない検知エリアのうちの1つが選択される。ステップS106の処理が完了すると、処理はステップS108に進む。 In step S106, a detection area is selected. Here, one of the detection areas whose usage behavior has not yet been calculated is selected. When the process of step S106 is completed, the process advances to step S108.
 ステップS108では、取得した算出ルールに従い、ステップS106にて選択された検知エリアの設備データから利用行動が算出される。ここでは、先ず、選択された検知エリアの設備データのそれぞれから滞在時間が演算される。次に、得られた滞在時間の分布がワイブル分布にフィッティングされて、式(1)に示す確率密度関数のパラメータα及びβが決定される。 In step S108, usage behavior is calculated from the equipment data of the detection area selected in step S106 according to the acquired calculation rule. Here, first, the stay time is calculated from each of the equipment data of the selected detection area. Next, the obtained residence time distribution is fitted to the Weibull distribution, and parameters α and β of the probability density function shown in equation (1) are determined.
Figure JPOXMLDOC01-appb-M000001
Figure JPOXMLDOC01-appb-M000001
 ステップS108では、選択された検知エリアに対応する標準滞在時間が読み込まれる。ここでの標準滞在時間は、急いでいない平常状態の施設利用者が当該検知エリア内に滞在する時間の標準値であり、予め定められた値である。次に、ワイブル分布を用いて、時間tの経過時に検知エリア外へ移動する移動確率を表すハザード関数を計算する。ハザード関数を式(2)に示す。ハザード関数に標準滞在時間を与えて、標準滞在時間の経過時に検知エリア外へ移動する移動確率を計算する。計算された移動確率は、当該検知エリアの利用行動指標値として、利用行動データ格納部206に格納される。 In step S108, the standard stay time corresponding to the selected detection area is read. The standard stay time here is a standard value of the time that a facility user in a normal state who is not in a hurry stays in the detection area, and is a predetermined value. Next, using the Weibull distribution, a hazard function representing the probability of movement out of the detection area after time t has elapsed is calculated. The hazard function is shown in equation (2). The standard sojourn time is given to the hazard function, and the probability of moving out of the detection area when the standard sojourn time has elapsed is calculated. The calculated movement probability is stored in the usage behavior data storage unit 206 as a usage behavior index value for the detection area.
Figure JPOXMLDOC01-appb-M000002
Figure JPOXMLDOC01-appb-M000002
 ステップS108の処理が完了すると、処理は再びステップS104に進む。そして、ステップS104からステップS108の処理が繰り返し実行されることにより、全ての検知エリアに対して利用行動が算出され、本ルーチンは終了される。 When the process of step S108 is completed, the process proceeds to step S104 again. Then, by repeatedly executing the processes from step S104 to step S108, usage behavior is calculated for all detection areas, and this routine ends.
 次に、図6のフローチャートを参照しながら、制御装置12が利用行動評価処理によって利用行動を評価する手順、及び契約プラン選択処理によって保守契約プランを選択する手順について説明する。図6は、制御装置12が実行する利用行動評価処理及び及び契約プラン選択処理のルーチンを示すフローチャートである。図6に示すルーチンのステップS120では、評価ルール格納部207から評価ルールが取得される。ここでの評価ルールは、利用行動の評価方法を含む。ステップS120の処理が完了すると、処理はステップS122に進む。 Next, with reference to the flowchart of FIG. 6, a procedure in which the control device 12 evaluates usage behavior through usage behavior evaluation processing and a procedure in which a maintenance contract plan is selected through contract plan selection processing will be described. FIG. 6 is a flowchart showing a routine of usage behavior evaluation processing and contract plan selection processing executed by the control device 12. In step S120 of the routine shown in FIG. 6, an evaluation rule is acquired from the evaluation rule storage unit 207. The evaluation rules here include evaluation methods for usage behavior. When the process of step S120 is completed, the process proceeds to step S122.
 ステップS122では、全ての検知エリアで利用行動の評価が完了したかどうかが判定される。初回のステップS122の処理では、未だ利用行動の評価が行われていないため、処理はステップS124に進む。 In step S122, it is determined whether evaluation of usage behavior has been completed in all detection areas. In the first step S122, the usage behavior has not been evaluated yet, so the process proceeds to step S124.
 ステップS124では、評価対象の検知エリアが選択される。ここでは、未だ利用行動の評価が実施されていない検知エリアのうちの1つが選択される。ステップS124の処理が完了すると、処理はステップS126に進む。 In step S124, a detection area to be evaluated is selected. Here, one of the detection areas whose usage behavior has not yet been evaluated is selected. When the process of step S124 is completed, the process proceeds to step S126.
 ステップS126では、先ず、選択された検知エリアの移動確率が利用行動データ格納部206から読み込まれる。移動確率は、その確率値が高いほど検知エリアを急いで通過した施設利用者の割合が多いことを統計的に示している。急いでいるときの施設利用者の利用行動は、そうでないときよりも粗雑になる可能性が高い。つまり、移動確率は、施設利用者の利用行動の優劣を決める際の指標となり得る値であるといえる。そこで、評価ルールには、移動確率と利用行動の優劣との関係が定められている。例えば、移動確率が低い第一範囲には利用行動が優良とされるランクAが対応付けられ、第一範囲よりも高い第二範囲には利用行動が普通とされるランクBが対応付けられ、第二範囲よりもさらに高い第三範囲には利用行動が悪いとされるランクCが対応付けられている。第一範囲、第二範囲及び第三範囲は、利用行動の優劣をランク分けする評価基準の一例である。ランク分けのランク数及びその範囲の設定に限定はない。 In step S126, first, the movement probability of the selected detection area is read from the usage behavior data storage unit 206. The movement probability statistically indicates that the higher the probability value, the greater the proportion of facility users who passed through the detection area in a hurry. Facility users' usage behavior when they are in a hurry is likely to be more sloppy than when they are not. In other words, it can be said that the movement probability is a value that can be used as an index for determining the superiority or inferiority of the usage behavior of facility users. Therefore, the evaluation rules define the relationship between movement probability and the superiority or inferiority of usage behavior. For example, a first range with a low probability of movement is associated with rank A, where the usage behavior is excellent, and a second range, which is higher than the first range, is associated with rank B, where the usage behavior is average. A third range higher than the second range is associated with rank C, which indicates bad usage behavior. The first range, the second range, and the third range are examples of evaluation criteria for ranking the superiority or inferiority of usage behavior. There are no limitations on the number of ranks and the range of ranks.
 ステップS126では、取得した評価ルールに従い、ステップS124にて選択された検知エリアの移動確率が第一範囲、第二範囲及び第三範囲の何れの範囲に属するかが判定される。そして、判定結果に対応するランクが評価結果として算出される。算出された評価結果は、評価結果データ格納部208に格納される。 In step S126, according to the acquired evaluation rule, it is determined to which range of the first range, second range, or third range the movement probability of the detection area selected in step S124 belongs. Then, a rank corresponding to the determination result is calculated as the evaluation result. The calculated evaluation results are stored in the evaluation result data storage section 208.
 ステップS126の処理が完了すると、処理は再びステップS122に進む。そして、ステップS122からステップS126の処理が繰り返し実行されることにより、全ての検知エリアに対して利用行動が評価され、処理はステップS128に進む。このように、ステップS120からステップS126は、利用行動評価処理を実行するステップである。 When the process of step S126 is completed, the process proceeds to step S122 again. Then, by repeatedly executing the processes from step S122 to step S126, usage behavior is evaluated for all detection areas, and the process proceeds to step S128. In this way, steps S120 to S126 are steps for executing the usage behavior evaluation process.
 ステップS128は、契約プラン選択処理を実行するステップである。ステップS128では、評価結果に基づいて保守契約プランが選択される。契約プラン格納部209には、利用行動の優劣に対応した複数の保守契約プランが格納されている。複数の契約プランは、それぞれ保守料金の算出基準が異なるものである。ここでは、各検知エリアに対応する評価結果に基づいて、契約プラン格納部209に格納されている複数の保守契約プランの中から1つが選択される。利用行動が優良であるほど、保守料金に関する保守契約者の利益が大きくなるように選択されるのであれば、保守契約プランの選択方法に限定はない。ステップS128の処理が完了すると、本ルーチンは終了される。 Step S128 is a step of executing contract plan selection processing. In step S128, a maintenance contract plan is selected based on the evaluation result. The contract plan storage unit 209 stores a plurality of maintenance contract plans corresponding to the superiority and inferiority of usage behavior. The plurality of contract plans have different standards for calculating maintenance fees. Here, one of the plurality of maintenance contract plans stored in the contract plan storage section 209 is selected based on the evaluation results corresponding to each detection area. There is no limitation on the method of selecting a maintenance contract plan, as long as it is selected so that the better the usage behavior is, the greater the benefit to the maintenance contractor regarding the maintenance fee will be. When the process of step S128 is completed, this routine is ended.
 以上のような利用行動算出処理によれば、対象施設内の全ての検知エリアに対して、利用行動指標値としての移動確率を算出することができる。また、利用行動評価処理によれば、施設利用者の利用行動が優良であるかどうかを評価して、保守契約プランの選択に反映させることができる。これにより、利用行動が優良な対象施設の保守契約者の保守料金に対する満足度を高めることができる。 According to the usage behavior calculation process as described above, it is possible to calculate the movement probability as the usage behavior index value for all detection areas within the target facility. Further, according to the usage behavior evaluation process, it is possible to evaluate whether the usage behavior of facility users is good or not, and to reflect this in the selection of a maintenance contract plan. As a result, it is possible to increase the level of satisfaction with maintenance fees among maintenance contractors of target facilities with excellent usage behavior.
2.実施の形態2.
 実施の形態2の保守契約プラン決定支援システムの特徴
 図7は、実施の形態2の保守契約プラン決定支援システムの全体構成を説明するための図である。実施の形態2の保守契約プラン決定支援システム200は、実施の形態1の保守契約プラン決定支援システム100に加えて、対象施設の入口に入退室履歴取得装置5を備えている。入退室履歴取得装置5は、対象施設の昇降機2の乗り場2aが設置されたフロアエリアへの入退室の履歴を取得するための装置である。入退室履歴取得装置5は、施設利用者のID情報を読み込むことにより、入退室の時刻とID情報を関連付けた入退室履歴情報を記憶する。
2. Embodiment 2.
Features of the maintenance contract plan decision support system according to the second embodiment FIG. 7 is a diagram for explaining the overall configuration of the maintenance contract plan decision support system according to the second embodiment. The maintenance contract plan decision support system 200 of the second embodiment includes, in addition to the maintenance contract plan decision support system 100 of the first embodiment, an entry/exit history acquisition device 5 at the entrance of the target facility. The entry/exit history acquisition device 5 is a device for obtaining a history of entry/exit to the floor area where the platform 2a of the elevator 2 of the target facility is installed. The entry/exit history acquisition device 5 stores entry/exit history information in which the time of entry/exit is associated with the ID information by reading the ID information of the facility user.
 入退室履歴取得装置5は、ネットワーク6を介して保守契約プラン決定支援装置10と接続されている。入退室履歴取得装置5によって取得された入退室履歴情報は、通信装置18を用いて保守契約プラン決定支援装置10に取り込まれ、設備データの一部として設備データ格納部204に格納される。 The room entry/exit history acquisition device 5 is connected to the maintenance contract plan decision support device 10 via the network 6. The entry/exit history information acquired by the entry/exit history acquisition device 5 is taken into the maintenance contract plan decision support device 10 using the communication device 18 and stored in the equipment data storage unit 204 as part of the equipment data.
 また、データ取得部141は、昇降機2の運行履歴を設備データの一部として取得し、設備データ格納部204に格納する。ここでの運行履歴は、昇降機2の乗り場2aからの乗り場呼び登録によってかごが到着した時刻の情報を含む。 Additionally, the data acquisition unit 141 acquires the operation history of the elevator 2 as part of the equipment data, and stores it in the equipment data storage unit 204. The operation history here includes information on the time when the car arrived by registering a hall call from the platform 2a of the elevator 2.
 保守契約プラン決定支援装置10は、利用行動算出処理において、入退室履歴情報と運行履歴とをさらに利用する。典型的には、図5に示す利用行動算出処理のステップS108において、昇降機2の運行履歴が取得され、取得した運行履歴から、乗り場2aからの乗り場呼び登録によってかごが乗り場2aに到着した到着時刻が読み出される。次に、乗り場2aから乗り場呼び登録を行った施設利用者が、その直前にフロアエリアに入室した施設利用者であることを想定して、その直前の入退室履歴情報から施設利用者の入室時刻が取得される。取得された入室時刻からかごが到着した到着時刻までの時間は、昇降機2を利用する施設利用者がフロアエリアに入室してから昇降機2に乗車するまでの移動時間に相当する。そこで、この移動時間に限定して、ワイブル分布と標準滞在時間とを用いて、標準滞在時間の経過時に検知エリア外へ移動する移動確率を表すハザード関数を計算する。計算された移動確率は、当該検知エリアの利用行動の指標値として、利用行動データ格納部206に格納される。 The maintenance contract plan decision support device 10 further uses the entry/exit history information and the operation history in the usage behavior calculation process. Typically, in step S108 of the usage behavior calculation process shown in FIG. 5, the operation history of the elevator 2 is acquired, and from the acquired operation history, the arrival time when the car arrived at the platform 2a by registering a platform call from the platform 2a. is read out. Next, assuming that the facility user who registered the platform call from platform 2a is the facility user who entered the floor area immediately before, the facility user's entry time is determined from the previous entry/exit history information. is obtained. The time from the acquired entry time to the arrival time when the car arrives corresponds to the travel time from when the facility user using the elevator 2 enters the floor area until when he gets on the elevator 2. Therefore, limited to this travel time, a hazard function representing the movement probability of moving out of the detection area when the standard stay time has elapsed is calculated using the Weibull distribution and the standard stay time. The calculated movement probability is stored in the usage behavior data storage unit 206 as an index value of the usage behavior of the detection area.
 以上のような動作によれば、昇降機2を利用する施設利用者の移動に関係する時間帯のみを区切って利用行動が算出される。これにより、算出される利用行動と昇降機2の利用行動との関連性が深まるので、より正確に昇降機2の利用行動を把握することができる。 According to the above-described operation, the usage behavior is calculated by dividing only the time period related to the movement of the facility user who uses the elevator 2. This deepens the relationship between the calculated usage behavior and the usage behavior of the elevator 2, so that the usage behavior of the elevator 2 can be grasped more accurately.
3.本実施の形態の変形例
 本実施の形態の保守契約プラン決定支援システム100は、以下のように変形した態様を適用してもよい。
3. Modifications of this Embodiment The maintenance contract plan decision support system 100 of this embodiment may be modified as follows.
3-1.ワイブル分布
 検知エリアの設備データから利用行動が算出する手法は、ワイブル分布を用いる方法に限られず、他の公知の確率密度関数を用いることとしてもよい。
3-1. Weibull Distribution The method of calculating the usage behavior from the equipment data of the detection area is not limited to the method using the Weibull distribution, but may also use other known probability density functions.
3-2.保守契約プランの変更時期
 保守契約プラン決定支援システム100による保守契約プランの選択は、保守契約者の求めに応じて実行してもよいし、予め定められた期間毎或いは契約更新時等、定期的に実行してもよい。或いは、対象施設内のテナントに入れ替えがあった場合などには、施設利用者の利用行動に変化が生じる可能性がある。そこで、保守契約プラン決定支援システム100は、過去一定期間の利用行動が、当該過去一定期間よりも長い期間の利用行動から基準値よりも変化している場合に、利用行動評価処理を実行して利用行動を再評価することとしてもよい。ここでの基準値は、利用行動の変化度合を判断するための閾値であり、予め定められた値が使用される。また、この場合、保守契約プラン決定支援システム100は、プロセッサ14の通知部において、利用行動が変化したことを保守契約者に通知する通知処理を実行することとしてもよい。通知形態に限定はない。このような動作によれば、より適切なタイミングで保守契約プランの変更することができる。
3-2. Maintenance contract plan change timing The maintenance contract plan selection support system 100 may select a maintenance contract plan at the request of the maintenance contractor, or may select the maintenance contract plan periodically, such as every predetermined period or at the time of contract renewal. may be executed. Alternatively, if there is a change in tenants within the target facility, there is a possibility that the usage behavior of facility users will change. Therefore, the maintenance contract plan decision support system 100 executes the usage behavior evaluation process when the usage behavior for a certain period in the past has changed from the standard value from the usage behavior for a period longer than the certain period in the past. You may also want to re-evaluate your usage behavior. The reference value here is a threshold value for determining the degree of change in usage behavior, and a predetermined value is used. Further, in this case, the maintenance contract plan decision support system 100 may execute a notification process in the notification unit of the processor 14 to notify the maintenance contractor that the usage behavior has changed. There are no restrictions on the form of notification. According to such an operation, the maintenance contract plan can be changed at a more appropriate timing.
3-3.利用行動評価処理
 利用行動評価処理による評価方法は、対象施設毎の絶対的な評価基準に基づくランク付けだけでなく、他の対象施設の利用行動との相対的な比較による順位付けも行うこととしてもよい。この場合、利用行動評価部146は、利用行動評価処理において、利用行動指標値に基づいて、対象施設とは異なる施設との間の利用行動の優劣を順位づけした順位結果を更に算出する。そして、契約プラン選択部は、契約プラン選択処理において、評価結果と順位結果に基づいて、保守契約プランを選択する。このような動作によれば、例えば、同じランクの評価に分類された対象施設であっても、更に順位付けも考慮して異なる契約プランを選択することができる。これにより、より細やかに保守契約プランを決定することができる。
3-3. Usage behavior evaluation processing The evaluation method using usage behavior evaluation processing not only ranks each target facility based on absolute evaluation criteria, but also ranks based on relative comparison with usage behavior of other target facilities. Good too. In this case, in the usage behavior evaluation process, the usage behavior evaluation unit 146 further calculates a ranking result that ranks the superiority or inferiority of usage behavior between the target facility and other facilities based on the usage behavior index value. Then, the contract plan selection unit selects a maintenance contract plan based on the evaluation results and ranking results in the contract plan selection process. According to such an operation, for example, even if the target facilities are classified into evaluations of the same rank, different contract plans can be selected in consideration of the ranking. This allows a more detailed maintenance contract plan to be determined.
3-4.利用行動評価処理及び契約プラン選択処理
 対象施設の昇降機2の設備のリプレース或いはオプション契約によって監視を強化した場合等、利用行動が優側に変化することがある。このような場合、対象施設の不動産価値が向上したと判断して、利用行動評価処理を実行して利用行動を再評価することとしてもよい。また、契約プラン選択処理では、利用行動の評価結果に加えて、不動産価値の向上への寄与分を考慮してもよい。この場合、例えば、利用行動が優側に変化した場合、利用行動評価部146は、利用行動評価処理において、対象施設の不動産価値に対する寄与度合を算出する。このような寄与度合の算出は、例えば、管理費の削減額、クレームの減少数、対象施設内装の維持期間等を、他の施設での実績と比較することで推定すればよい。そして、契約プラン選択部147は、契約プラン選択処理において、評価結果と寄与度合に基づいて、保守契約プランを選択する。このような動作によれば、不動産価値の寄与度合を考慮した保守契約プランの決定が可能となる。
3-4. Usage Behavior Evaluation Process and Contract Plan Selection Process Usage behavior may change to the advantageous side, such as when the equipment of the elevator 2 in the target facility is replaced or monitoring is strengthened through an option contract. In such a case, it may be determined that the real estate value of the target facility has improved, and the usage behavior evaluation process may be executed to re-evaluate the usage behavior. Furthermore, in the contract plan selection process, in addition to the evaluation results of usage behavior, the contribution to the improvement of real estate value may be considered. In this case, for example, if the usage behavior changes to the favorable side, the usage behavior evaluation unit 146 calculates the degree of contribution of the target facility to the real estate value in the usage behavior evaluation process. Such a degree of contribution may be estimated by comparing, for example, the amount of reduction in management costs, the reduction in the number of complaints, the maintenance period of the interior of the target facility, etc. with the actual results at other facilities. Then, in the contract plan selection process, the contract plan selection unit 147 selects a maintenance contract plan based on the evaluation result and the degree of contribution. According to such an operation, it becomes possible to determine a maintenance contract plan that takes into account the degree of contribution of real estate value.
3-5.複数の利用行動の例
 利用行動算出処理において共通の検知エリアに複数の利用行動が算出された場合、利用行動評価処理では、複数の利用行動のそれぞれの評価結果を算出し、算出された複数の評価結果から最終的な評価結果を算出してもよい。例えば、昇降機2としてのエレベーターのドアに振動センサを備えている場合、振動センサが基準値以上の振動を検知した振動回数を利用行動指標値として、評価結果を算出する。また、昇降機2としてのエレベーターのドアを含む検知エリアにおいて滞在時間から算出される移動確率を利用行動指標値として、評価結果を算出する。ここでのそれぞれの評価結果は、評価基準に基づくランク付けでもよいし、他の対象施設の利用行動との相対的な比較による順位付けでもよい。評価結果が順位付けの場合、例えばこれら2つの評価結果を足し合わせた順位を最終的な評価結果として利用する。或いは、評価結果がランク付けの場合、例えばこれら2つの評価結果のランクの中間値を最終的な評価結果として利用する。このような動作によれば、利用行動の評価精度が高まるので、より最適な保守契約プランを決定することができる。
3-5. Example of multiple usage behaviors If multiple usage behaviors are calculated in a common detection area in the usage behavior calculation process, the evaluation results of each of the multiple usage behaviors are calculated in the usage behavior evaluation process, and the A final evaluation result may be calculated from the evaluation results. For example, when a vibration sensor is provided on the door of an elevator serving as the elevator 2, the evaluation result is calculated using the number of vibrations at which the vibration sensor detects vibrations greater than a reference value as the usage behavior index value. Furthermore, the evaluation result is calculated using the movement probability calculated from the stay time in the detection area including the door of the elevator as the elevator 2 as the usage behavior index value. Each evaluation result here may be ranked based on evaluation criteria or may be ranked based on relative comparison with usage behavior of other target facilities. When the evaluation results are ranked, for example, the ranking obtained by adding these two evaluation results is used as the final evaluation result. Alternatively, if the evaluation result is a ranking, for example, an intermediate value between the ranks of these two evaluation results is used as the final evaluation result. According to such an operation, the accuracy of evaluation of usage behavior increases, so that a more optimal maintenance contract plan can be determined.
3-6.他の利用行動の例
 施設利用者の利用行動は、人感センサ4の検知信号から算出される検知エリア内の滞在時間に限らない。すなわち、対象施設の利用の優劣を判断可能な行動であれば、上述の振動センサによって検知される振動回数のみでもよいし、例えば図8の表に示す利用行動でもよい。図8では、利用行動の変形例と、それぞれの利用行動の例示、及び利用行動の検知に利用可能な関連データが例示されている。
3-6. Examples of Other Usage Behaviors The usage behavior of facility users is not limited to the stay time within the detection area calculated from the detection signal of the human sensor 4. That is, as long as the behavior can determine the superiority or inferiority of the use of the target facility, it may be only the number of vibrations detected by the vibration sensor described above, or it may be the usage behavior shown in the table of FIG. 8, for example. FIG. 8 shows modified examples of usage behavior, examples of each usage behavior, and related data that can be used to detect usage behavior.
3-7.制御装置12の変形例
 図9は、制御装置12のハードウェア資源の変形例を示す図である。図9に示す例では、制御装置12は、例えばプロセッサ14、メモリ16、及び専用ハードウェア15を含む処理回路17を備える。図9は、制御装置12が有する機能の一部を専用ハードウェア15によって実現する例を示す。制御装置12が有する機能の全部を専用ハードウェア15によって実現しても良い。専用ハードウェア15として、単一回路、複合回路、プログラム化したプロセッサ、並列プログラム化したプロセッサ、ASIC、FPGA、又はこれらの組み合わせを採用できる。
3-7. Modification of Control Device 12 FIG. 9 is a diagram showing a modification of the hardware resources of the control device 12. In the example shown in FIG. 9, the control device 12 includes a processing circuit 17 including, for example, a processor 14, a memory 16, and dedicated hardware 15. FIG. 9 shows an example in which some of the functions of the control device 12 are realized by dedicated hardware 15. All of the functions of the control device 12 may be realized by dedicated hardware 15. The dedicated hardware 15 can be a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof.
 2 昇降機、2a 乗り場、 4 人感センサ、 5 入退室履歴取得装置、 6 ネットワーク、 10 保守契約プラン決定支援装置、 12 制御装置、 14 プロセッサ、 15 専用ハードウェア、 16 メモリ、 17 処理回路、 18 通信装置、 20 記憶装置、 100,200 保守契約プラン決定支援システム、 141 データ取得部、 142 稼働状況測定部、 143 保守料金算出部、 144 請求部、 145 利用行動算出部、 146 利用行動評価部、 147 契約プラン選択部、 161 プログラム、 162 データ、 201 稼働状況データ格納部、 202 経年状況データ格納部、 203 保守出勤データ格納部、 204 設備データ格納部、 205 算出ルール格納部、 206 利用行動データ格納部、 207 評価ルール格納部、 208 評価結果データ格納部、 209 契約プラン格納部 2 Elevator, 2a Platform, 4 Human sensor, 5 Entrance/exit history acquisition device, 6 Network, 10 Maintenance contract plan decision support device, 12 Control device, 14 Processor, 15 Dedicated hardware, 16 Memory, 17 Processing circuit, 1 8 Communication Device, 20 Storage device, 100,200 Maintenance contract plan decision support system, 141 Data acquisition unit, 142 Operating status measurement unit, 143 Maintenance fee calculation unit, 144 Billing unit, 145 Usage behavior calculation unit, 146 Usage behavior evaluation unit, 147 Contract plan selection section, 161 program, 162 data, 201 operating status data storage section, 202 aging status data storage section, 203 maintenance attendance data storage section, 204 equipment data storage section, 205 calculation rule storage section, 206 usage behavior data storage section , 207 Evaluation rule storage section, 208 Evaluation result data storage section, 209 Contract plan storage section

Claims (10)

  1.  昇降機が設置された対象施設に対する施設利用者の過去一定期間の利用行動の指標値である利用行動指標値を算出する利用行動算出部と、
     前記利用行動指標値に基づいて、前記利用行動の優劣をランク付けした評価結果を算出する利用行動評価部と、
     前記評価結果に基づいて、保守契約プランを選択する契約プラン選択部と、
     を備える保守契約プラン決定支援装置。
    a usage behavior calculation unit that calculates a usage behavior index value that is an index value of the usage behavior of facility users over a certain period of time in the past with respect to the target facility in which the elevator is installed;
    a usage behavior evaluation unit that calculates an evaluation result that ranks the superiority or inferiority of the usage behavior based on the usage behavior index value;
    a contract plan selection unit that selects a maintenance contract plan based on the evaluation result;
    A maintenance contract plan decision support device.
  2.  前記対象施設内に配置され、検知エリア内への前記施設利用者の進入及び退出を検知する人感センサの設備データを取得するデータ取得部を備え、
     前記利用行動算出部は、
     前記設備データを用いて、前記過去一定期間における前記施設利用者が前記検知エリア内に滞在している滞在時間を算出し、
     前記滞在時間を用いて、標準滞在時間の経過時に前記施設利用者が前記検知エリアの外へ移動する移動確率を前記利用行動指標値として算出するように構成され、
     前記利用行動評価部は、
     前記移動確率と評価基準とを比較することによって前記評価結果を算出する
     ように構成される請求項1に記載の保守契約プラン決定支援装置。
    comprising a data acquisition unit that acquires equipment data of a human sensor that is placed in the target facility and detects entry and exit of the facility user into the detection area;
    The usage behavior calculation unit is
    Using the facility data, calculating the length of stay of the facility user in the detection area during the past certain period;
    The facility is configured to use the stay time to calculate a movement probability of the facility user moving out of the detection area when the standard stay time has elapsed as the usage behavior index value;
    The usage behavior evaluation department is
    The maintenance contract plan determination support device according to claim 1, wherein the evaluation result is calculated by comparing the movement probability and an evaluation standard.
  3.  前記利用行動算出部は、ワイブル分布を用いて前記利用行動指標値を算出する
     ように構成される請求項2に記載の保守契約プラン決定支援装置。
    The maintenance contract plan determination support device according to claim 2, wherein the usage behavior calculation unit calculates the usage behavior index value using a Weibull distribution.
  4.  前記昇降機はエレベーターであり、
     前記施設利用者が前記対象施設へ入室した入室時刻を取得する入退室履歴取得装置と、
     前記昇降機の呼び登録に応じてかごが乗り場に到着した到着時刻を含む運行履歴を取得するデータ取得部と、をさらに備え、
     前記利用行動算出部は、前記入室時刻から前記到着時刻までの時間に限定して前記利用行動指標値を算出する
     ように構成される請求項1から請求項3の何れか1項に記載の保守契約プラン決定支援装置。
    The elevator is an elevator;
    an entrance/exit history acquisition device that acquires the entry time when the facility user entered the target facility;
    further comprising a data acquisition unit that acquires an operation history including an arrival time at which the car arrived at the platform in response to the call registration of the elevator;
    The usage behavior calculation unit is configured to calculate the usage behavior index value only for the time from the room entry time to the arrival time. Maintenance contract plan decision support device.
  5.  前記利用行動評価部は、
     前記過去一定期間の前記利用行動指標値が、当該過去一定期間よりも長い期間の前記利用行動指標値に対して基準値よりも変化している場合に、前記過去一定期間の前記利用行動指標値に基づいて前記評価結果を算出する
     ように構成される請求項1から請求項4の何れか1項に記載の保守契約プラン決定支援装置。
    The usage behavior evaluation department is
    If the usage behavior index value for the past certain period changes more than the reference value with respect to the usage behavior index value for a period longer than the past certain period, the usage behavior index value for the past certain period The maintenance contract plan determination support device according to any one of claims 1 to 4, configured to calculate the evaluation result based on.
  6.  前記過去一定期間の前記利用行動指標値が、当該過去一定期間よりも長い期間の前記利用行動指標値に対して基準値よりも変化している場合に、前記利用行動指標値の変化を通知する通知部を更に備える請求項5に記載の保守契約プラン決定支援装置。 Notifying a change in the usage behavior index value when the usage behavior index value for the past certain period changes from a reference value with respect to the usage behavior index value for a period longer than the past certain period. The maintenance contract plan decision support device according to claim 5, further comprising a notification section.
  7.  前記利用行動評価部は、
     前記利用行動指標値に基づいて、前記対象施設とは異なる施設との間の前記利用行動の優劣を順位づけした順位結果を更に算出するように構成され、
     前記契約プラン選択部は、前記評価結果と前記順位結果に基づいて、前記保守契約プランを選択する請求項1から請求項6の何れか1項に記載の保守契約プラン決定支援装置。
    The usage behavior evaluation department is
    further configured to calculate a ranking result that ranks the superiority or inferiority of the usage behavior between the target facility and a facility different from the target facility based on the usage behavior index value,
    7. The maintenance contract plan determination support device according to claim 1, wherein the contract plan selection unit selects the maintenance contract plan based on the evaluation result and the ranking result.
  8.  前記利用行動評価部は、
     前記利用行動が優側に変化した場合、前記対象施設の不動産価値に対する寄与度合を算出するように構成され、
     前記契約プラン選択部は、前記評価結果と前記寄与度合に基づいて、前記保守契約プランを選択する請求項1から請求項6の何れか1項に記載の保守契約プラン決定支援装置。
    The usage behavior evaluation department is
    configured to calculate the degree of contribution of the target facility to real estate value when the usage behavior changes to the advantageous side;
    7. The maintenance contract plan determination support device according to claim 1, wherein the contract plan selection unit selects the maintenance contract plan based on the evaluation result and the degree of contribution.
  9.  前記昇降機は、エレベーターであり、
     前記エレベーターのドアに設置された振動センサを更に備え、
     前記利用行動算出部は、
     前記振動センサを用いて、前記過去一定期間において前記振動センサが基準値以上の振動を検知した振動回数を前記利用行動指標値として算出するように構成され、
     前記利用行動評価部は、
     前記振動回数と評価基準とを比較することによって前記評価結果を算出する
     ように構成される請求項1から請求項8の何れか1項に記載の保守契約プラン決定支援装置。
    The elevator is an elevator,
    further comprising a vibration sensor installed on the elevator door,
    The usage behavior calculation unit is
    configured to use the vibration sensor to calculate, as the usage behavior index value, the number of vibrations at which the vibration sensor detected vibrations equal to or higher than a reference value during the past certain period;
    The usage behavior evaluation department is
    The maintenance contract plan decision support device according to any one of claims 1 to 8, configured to calculate the evaluation result by comparing the number of vibrations with an evaluation standard.
  10.  昇降機と、
     前記昇降機が設置された対象施設に配置され、検知エリア内への施設利用者の進入及び退出を検知する人感センサと、
     前記人感センサによって検知される設備データに基づいて、保守契約プランを決定する保守契約プラン決定支援装置と、を備え、
     前記保守契約プラン決定支援装置は、
     前記設備データを用いて、前記施設利用者が前記検知エリア内に滞在している滞在時間を算出し、過去一定期間における前記滞在時間を用いて、標準滞在時間の経過時に前記施設利用者が前記検知エリアの外へ移動する移動確率を、前記対象施設に対する前記施設利用者の前記過去一定期間の利用行動の指標となる利用行動指標値として算出する利用行動算出部と、
     前記利用行動指標値に基づいて、前記利用行動の優劣をランク付けした評価結果を算出する利用行動評価部と、
     前記評価結果に基づいて、保守契約プランを選択する契約プラン選択部と、
     を備える保守契約プラン決定支援システム。
    elevator and
    a human sensor that is placed in the target facility where the elevator is installed and detects entry and exit of facility users into the detection area;
    A maintenance contract plan determination support device that determines a maintenance contract plan based on equipment data detected by the human sensor,
    The maintenance contract plan decision support device includes:
    Using the equipment data, calculate the stay time that the facility user is staying in the detection area, and using the stay time in the past certain period, when the standard stay time has elapsed, the facility user a usage behavior calculation unit that calculates a movement probability of moving out of the detection area as a usage behavior index value that is an index of the usage behavior of the facility user for the target facility during the past certain period;
    a usage behavior evaluation unit that calculates an evaluation result that ranks the superiority or inferiority of the usage behavior based on the usage behavior index value;
    a contract plan selection unit that selects a maintenance contract plan based on the evaluation result;
    Maintenance contract plan decision support system.
PCT/JP2022/033437 2022-09-06 2022-09-06 Device for assisting in maintenance contract plan determination, and system for assisting in maintenance contract plan determination WO2024052995A1 (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002230196A (en) * 2001-01-31 2002-08-16 Hitachi Ltd Maintenance contract support system for elevator
US20020173970A1 (en) * 2001-03-09 2002-11-21 Tomoyuki Hamada Support system for maintenance contract of elevator
JP2005119857A (en) * 2003-10-20 2005-05-12 Toshiba Elevator Co Ltd Device and method for calculating maintenance charge of elevator
JP2017062705A (en) * 2015-09-25 2017-03-30 株式会社日立ビルシステム Elevator maintenance contract management system and elevator maintenance contract management method
JP2019091304A (en) * 2017-11-15 2019-06-13 株式会社日立ビルシステム Maintenance fee presenting method, and maintenance fee presentation system
JP2019210086A (en) * 2018-06-01 2019-12-12 株式会社日立ビルシステム Elevator abnormality monitoring system and elevator abnormality monitoring method
JP6878708B1 (en) * 2020-06-03 2021-06-02 三菱電機株式会社 Charge calculation device, charge calculation method, and charge calculation program

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002230196A (en) * 2001-01-31 2002-08-16 Hitachi Ltd Maintenance contract support system for elevator
US20020173970A1 (en) * 2001-03-09 2002-11-21 Tomoyuki Hamada Support system for maintenance contract of elevator
JP2005119857A (en) * 2003-10-20 2005-05-12 Toshiba Elevator Co Ltd Device and method for calculating maintenance charge of elevator
JP2017062705A (en) * 2015-09-25 2017-03-30 株式会社日立ビルシステム Elevator maintenance contract management system and elevator maintenance contract management method
JP2019091304A (en) * 2017-11-15 2019-06-13 株式会社日立ビルシステム Maintenance fee presenting method, and maintenance fee presentation system
JP2019210086A (en) * 2018-06-01 2019-12-12 株式会社日立ビルシステム Elevator abnormality monitoring system and elevator abnormality monitoring method
JP6878708B1 (en) * 2020-06-03 2021-06-02 三菱電機株式会社 Charge calculation device, charge calculation method, and charge calculation program

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