WO2024052995A1 - Dispositif d'aide à la détermination de plan de contrat d'entretien et système d'aide à la détermination de plan de contrat d'entretien - Google Patents

Dispositif d'aide à la détermination de plan de contrat d'entretien et système d'aide à la détermination de plan de contrat d'entretien Download PDF

Info

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
Authority
WO
WIPO (PCT)
Prior art keywords
usage behavior
contract plan
maintenance contract
index value
facility
Prior art date
Application number
PCT/JP2022/033437
Other languages
English (en)
Japanese (ja)
Inventor
寛明 多田
仁 川▲崎▼
哲美 井澤
恭平 濱田
渉 伏見
Original Assignee
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
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 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 filed Critical 三菱電機ビルソリューションズ株式会社
Priority to PCT/JP2022/033437 priority Critical patent/WO2024052995A1/fr
Publication of WO2024052995A1 publication Critical patent/WO2024052995A1/fr

Links

Images

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B3/00—Applications of devices for indicating or signalling operating conditions of elevators
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators

Definitions

  • 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.

Landscapes

  • Maintenance And Inspection Apparatuses For Elevators (AREA)

Abstract

Ce système d'aide à la détermination de plan de contrat d'entretien comprend un ascenseur, un capteur de mouvement disposé dans une installation d'objet dans laquelle est installé l'ascenseur, et un dispositif d'aide à la détermination de plan de contrat d'entretien qui détermine un plan de contrat d'entretien sur la base d'un signal de détection provenant du capteur de mouvement. Le dispositif d'aide à la détermination de plan de contrat d'entretien est configuré de façon à utiliser le capteur de mouvement pour calculer un temps de séjour pendant lequel un utilisateur de l'installation reste dans une zone de détection, utiliser le temps de séjour pour calculer, en tant que valeur d'indice de comportement d'utilisation, une probabilité de mouvement que l'utilisateur de l'installation se déplace à l'extérieur de la zone de détection lorsqu'un temps de séjour de référence s'est écoulé, calculer un résultat d'évaluation dans lequel les avantages relatifs des comportements d'utilisation sont classés sur la base de la valeur d'indice de comportement d'utilisation, et sélectionner un plan de contrat d'entretien sur la base du résultat d'évaluation.
PCT/JP2022/033437 2022-09-06 2022-09-06 Dispositif d'aide à la détermination de plan de contrat d'entretien et système d'aide à la détermination de plan de contrat d'entretien WO2024052995A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/JP2022/033437 WO2024052995A1 (fr) 2022-09-06 2022-09-06 Dispositif d'aide à la détermination de plan de contrat d'entretien et système d'aide à la détermination de plan de contrat d'entretien

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2022/033437 WO2024052995A1 (fr) 2022-09-06 2022-09-06 Dispositif d'aide à la détermination de plan de contrat d'entretien et système d'aide à la détermination de plan de contrat d'entretien

Publications (1)

Publication Number Publication Date
WO2024052995A1 true WO2024052995A1 (fr) 2024-03-14

Family

ID=90192409

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2022/033437 WO2024052995A1 (fr) 2022-09-06 2022-09-06 Dispositif d'aide à la détermination de plan de contrat d'entretien et système d'aide à la détermination de plan de contrat d'entretien

Country Status (1)

Country Link
WO (1) WO2024052995A1 (fr)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002230196A (ja) * 2001-01-31 2002-08-16 Hitachi Ltd エレベーターの保守契約支援システム
US20020173970A1 (en) * 2001-03-09 2002-11-21 Tomoyuki Hamada Support system for maintenance contract of elevator
JP2005119857A (ja) * 2003-10-20 2005-05-12 Toshiba Elevator Co Ltd 昇降機の保守料金算出装置及びその算出方法
JP2017062705A (ja) * 2015-09-25 2017-03-30 株式会社日立ビルシステム 昇降機保守契約管理システムおよび昇降機保守契約管理方法
JP2019091304A (ja) * 2017-11-15 2019-06-13 株式会社日立ビルシステム 保守料金提示方法、保守料金提示システム
JP2019210086A (ja) * 2018-06-01 2019-12-12 株式会社日立ビルシステム エレベーター異常監視システム及びエレベーター異常監視方法
JP6878708B1 (ja) * 2020-06-03 2021-06-02 三菱電機株式会社 料金算出装置、料金算出方法、及び、料金算出プログラム

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002230196A (ja) * 2001-01-31 2002-08-16 Hitachi Ltd エレベーターの保守契約支援システム
US20020173970A1 (en) * 2001-03-09 2002-11-21 Tomoyuki Hamada Support system for maintenance contract of elevator
JP2005119857A (ja) * 2003-10-20 2005-05-12 Toshiba Elevator Co Ltd 昇降機の保守料金算出装置及びその算出方法
JP2017062705A (ja) * 2015-09-25 2017-03-30 株式会社日立ビルシステム 昇降機保守契約管理システムおよび昇降機保守契約管理方法
JP2019091304A (ja) * 2017-11-15 2019-06-13 株式会社日立ビルシステム 保守料金提示方法、保守料金提示システム
JP2019210086A (ja) * 2018-06-01 2019-12-12 株式会社日立ビルシステム エレベーター異常監視システム及びエレベーター異常監視方法
JP6878708B1 (ja) * 2020-06-03 2021-06-02 三菱電機株式会社 料金算出装置、料金算出方法、及び、料金算出プログラム

Similar Documents

Publication Publication Date Title
CN107235392B (zh) 电梯装置及电梯装置的控制方法
CN101531320B (zh) 电梯的门控制系统以及控制方法
WO2019087729A1 (fr) Système et procédé de prédiction de flux humain à l'intérieur de bâtiment
EP1125881B1 (fr) Appareil de commande de groupe d'ascenseurs
CN101402427A (zh) 电梯群管理系统
JP6335364B1 (ja) エレベータ制御装置、エレベータ群管理制御装置、エレベータシステム、およびエレベータ制御方法
JP4695329B2 (ja) エレベータ群管理方法
CN111689322B (zh) 电梯运行状态的可视化装置及可视化方法、电梯控制系统
JP6435215B2 (ja) エレベータシステム
JP2017178474A (ja) エレベーター装置及びエレベーター装置の制御方法
US7552802B2 (en) Controller for elevator
CN101802825A (zh) 用于新建筑物和现有建筑物中的电梯布置的设计方法
US10179717B2 (en) Destination dispatch passenger detection
CN111344244A (zh) 组管理控制装置及组管理控制方法
JP4995248B2 (ja) エレベータの交通需要予測装置
WO2024052995A1 (fr) Dispositif d'aide à la détermination de plan de contrat d'entretien et système d'aide à la détermination de plan de contrat d'entretien
AU656490B2 (en) Using fuzzy logic to determine the traffic mode of an elevator system
CN101903273B (zh) 电梯组群管理系统
JP5471102B2 (ja) エレベータ群管理シミュレーションシステム
CN113286757B (zh) 用于乘客交通系统的控制装置
JPH0891717A (ja) エレベーター群管理制御システム
JPH0449183A (ja) エレベータ制御装置
JP2017190193A (ja) システム機器の異常診断装置、エレベーターの異常診断装置及びエレベーターの異常診断方法
CN112744653B (zh) 电梯运行诊断装置、电梯运行诊断系统和电梯运行诊断方法
US20230373753A1 (en) Device and method for estimating elevator waiting time

Legal Events

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

Ref document number: 22958074

Country of ref document: EP

Kind code of ref document: A1