WO2022250090A1 - 稼働管理システム、稼働管理方法、および稼働管理プログラム - Google Patents
稼働管理システム、稼働管理方法、および稼働管理プログラム Download PDFInfo
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- 238000007726 management method Methods 0.000 title claims description 42
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 230000007704 transition Effects 0.000 claims description 3
- 238000000034 method Methods 0.000 description 14
- 230000008569 process Effects 0.000 description 12
- 238000011156 evaluation Methods 0.000 description 11
- 238000004891 communication Methods 0.000 description 10
- 238000012545 processing Methods 0.000 description 6
- 239000002253 acid Substances 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 230000005389 magnetism Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 1
- FFBHFFJDDLITSX-UHFFFAOYSA-N benzyl N-[2-hydroxy-4-(3-oxomorpholin-4-yl)phenyl]carbamate Chemical compound OC1=C(NC(=O)OCC2=CC=CC=C2)C=CC(=C1)N1CCOCC1=O FFBHFFJDDLITSX-UHFFFAOYSA-N 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 229910001416 lithium ion Inorganic materials 0.000 description 1
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- 230000002123 temporal effect Effects 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
Definitions
- One aspect of the present disclosure relates to an operation management system, an operation management method, and an operation management program.
- Patent Document 1 describes a state monitoring system for lead-acid batteries.
- This system includes a device for measuring the internal resistance of a lead-acid battery, obtains an average value of the internal resistance for each fixed period, and compares the average value of the internal resistance for each fixed period with the average value for the previous fixed period. and a device for calculating the rate of change between the average values, and a device for warning or displaying the time to replace the lead-acid battery when the rate of change exceeds a predetermined value.
- An operation management system includes an acquisition unit that acquires storage battery data indicating the state of a storage battery mounted on an electric vehicle, and an estimation unit that estimates the actual operation status of the electric vehicle based on the storage battery data. , a generation unit for generating a report indicating operation information based on the actual operation status, and an output unit for outputting the report.
- An operation management method is executed by an operation management system including at least one processor.
- This operation management method comprises the steps of acquiring storage battery data indicating the state of a storage battery mounted on the electric vehicle, estimating the actual operation status of the electric vehicle based on the storage battery data, and operating information based on the actual operation status. and outputting the report.
- An operation management program includes a step of acquiring storage battery data indicating a state of a storage battery mounted on an electric vehicle, a step of estimating an actual operation status of the electric vehicle based on the storage battery data, and a step of A computer is caused to execute a step of generating a report showing operating information based on the operating status and a step of outputting the report.
- the actual operation status of the electric vehicle can be estimated from the storage battery data related to the storage battery installed in the electric vehicle. Then, a report showing operation information based on the actual operation status is generated. This report can inform the user about the operational status of the electric vehicle.
- information regarding the actual operation of the electric vehicle can be transmitted to the user.
- FIG. 10 is a diagram showing another example of a report
- the operation management system 1 is a computer system that estimates the actual operation status of an electric vehicle and provides a user with a report based on the estimation results.
- An electric vehicle is a vehicle that runs using electric energy stored in a storage battery (secondary battery) as all or part of its power.
- the electric vehicle may be a vehicle for carrying people or a vehicle for moving cargo.
- the electric vehicle may be a cargo handling vehicle for moving cargo, such as a forklift.
- types of storage batteries include, but are not limited to, lead acid batteries and lithium ion batteries.
- the storage battery may be an assembled battery composed of a plurality of single cells of the same type.
- the “actual operation status of the electric vehicle” is information indicating how long the electric vehicle has actually been operated in the time span during which the electric vehicle should be operated.
- the operation management system 1 may provide the user with a report based on the actual operation status of cargo handling vehicles equipped with lead-acid batteries.
- FIG. 1 is a diagram showing an example of the functional configuration of the operation management system 1.
- the operation management system 1 has a server 10 .
- the server 10 can access, via a communication network, a database 20 that stores storage battery data indicating the state of the storage battery mounted on the electric vehicle 2 .
- the database 20 stores battery data for each of the at least one electric vehicle 2 .
- the database 20 may be a component of the operation management system 1 or may be provided in a computer system separate from the operation management system 1 .
- the server 10 further connects with at least one user terminal 30 via a communication network.
- a communication network used for the operation management system 1 is configured by, for example, at least one of the Internet and an intranet.
- Each electric vehicle 2 provides storage battery data to the database 20.
- the electric vehicle 2 includes a battery management unit (BMU) 3 that monitors or controls the storage battery.
- the BMU 3 repeatedly measures the state of the battery at given time intervals and generates battery data indicating the state. Then, the BMU 3 transmits the storage battery data to the database 20 via the communication network at given timing.
- the storage battery data is time-series data indicating the state of the storage battery.
- each record of storage battery data includes the date and time of measurement and at least one physical quantity indicating the state of the storage battery. Examples of the physical quantity include, but are not limited to, measured voltage, measured current, and measured temperature.
- Storage battery data indicates a physical quantity measured every 100 milliseconds, for example.
- battery data is associated with at least one of a battery ID and an electric vehicle ID.
- a storage battery ID is an identifier that uniquely identifies a storage battery.
- the electric vehicle ID is an identifier that uniquely identifies the electric vehicle 2 .
- the server 10 is a computer that estimates the actual operation status of the electric vehicle based on the storage battery data and provides the user with a report based on the actual operation status.
- the server 10 includes a receiver 11, an acquirer 12, an estimator 13, a generator 14, and a transmitter 15 as functional modules.
- the receiving unit 11 is a functional module that receives a request for report generation and provision from the user terminal 30 .
- the acquisition unit 12 is a functional module that acquires storage battery data from the database 20 based on the request.
- the estimating unit 13 is a functional module that estimates the actual operation status of the electric vehicle based on the storage battery data.
- the generation unit 14 is a functional module that generates a report indicating operation information based on the actual operation status.
- a transmission unit 15 is a functional module that transmits the report to the user terminal 30 . This transmission is an example of report output, and therefore the transmission section 15 functions as an output section.
- the user terminal 30 is a computer operated by the user of the operation management system 1. Examples of users include, but are not limited to, the owner or administrator of the electric vehicle 2 .
- FIG. 2 is a diagram showing an example of a general hardware configuration of the computer 100 that constitutes the server 10.
- the computer 100 includes a processor (e.g., CPU) 101 that executes an operating system, application programs, etc., a main storage unit 102 that includes a ROM and a RAM, and an auxiliary storage device that includes a hard disk, a flash memory, or the like. It comprises a storage unit 103, a communication control unit 104 configured by a network card or a wireless communication module, an input device 105 such as a keyboard and a mouse, and an output device 106 such as a monitor.
- a processor e.g., CPU
- main storage unit 102 that includes a ROM and a RAM
- an auxiliary storage device that includes a hard disk, a flash memory, or the like.
- It comprises a storage unit 103, a communication control unit 104 configured by a network card or a wireless communication module, an input device 105 such as a keyboard and a mouse, and an output
- Each functional module of the server 10 is realized by loading a predetermined program into the processor 101 or the main storage unit 102 and causing the processor 101 to execute the program.
- the processor 101 operates the communication control unit 104, the input device 105, or the output device 106 according to the program, and reads and writes data in the main storage unit 102 or the auxiliary storage unit 103.
- FIG. Data or databases necessary for processing are stored in the main memory unit 102 or the auxiliary memory unit 103 .
- the server 10 is composed of at least one computer. When a plurality of computers are used, one server 10 is logically constructed by connecting these computers via a communication network such as the Internet or an intranet.
- FIG. 3 is a flow chart showing an example of the process as a process flow S1.
- the receiving unit 11 receives a report request from the user terminal 30.
- a report request is a data signal for requesting the server 10 to generate and provide a report.
- the user terminal 30 generates a report request based on user's operation and transmits the report request to the server 10 .
- the report request includes at least one electric vehicle ID.
- the report request includes the electric vehicle ID of at least one electric vehicle 2 located at a specific location such as a sales office, work site, or the like.
- the report request may include the electric vehicle ID of at least one electric vehicle 2 at each of the multiple locations.
- the report request may include a target period for estimating the production status. In one example, the target period is set in units of days, weeks, months, or years.
- step S12 the acquisition unit 12 selects one electric vehicle 2 (one electric vehicle ID) based on the report request.
- step S13 the acquisition unit 12 acquires the storage battery data of the selected electric vehicle 2.
- the acquisition unit 12 reads storage battery data corresponding to the selected electric vehicle ID from the database 20 .
- the estimation unit 13 estimates the actual operation status of the selected electric vehicle 2 based on the storage battery data.
- the estimator 13 calculates a moving average of measured currents for each of a plurality of intervals set along the time axis. Subsequently, the estimator 13 selects a section group in which the moving average of the measured current is equal to or greater than a given threshold.
- This threshold value may be a value for distinguishing whether the electric vehicle 2 is in an idling state, and may be set to 1 (A) or 0.05 (CA), for example.
- the unit “A” means measured current value and the unit "CA” means C rate.
- the estimation unit 13 calculates the actual operating hours for each day within the target period based on the number of selected sections, and calculates the actual operating rate based on the actual operating hours and the business hours of the day. do.
- This actual operation rate is an example of the actual operation status of the electric vehicle 2 .
- the estimating unit 13 obtains the ratio of the actual operation time to business hours as the actual operation rate.
- the business hours are the time widths set as the hours during which the electric vehicle 2 is operated.
- the business hours are set, for example, based on the working hours of the work site where the electric vehicle 2 is arranged. It should be noted that a section in which the moving average of the measured current is equal to or greater than a given threshold may also occur during non-business hours.
- the idling state refers to a state in which the electric vehicle 2 is operating with no load.
- An example of a device for grasping the operation rate of an electric vehicle is a cumulative hour meter for a forklift. However, this integrated hour meter measures the operating time so as to include the idling time zone. Therefore, in one example, it is required to grasp the actual operating time excluding the idling time period.
- FIG. 4 is a graph showing an example of temporal changes in the moving average of the measured current during business hours (9:00 to 17:00) on a certain day.
- the horizontal axis indicates time, and the vertical axis indicates current (A).
- the estimation unit 13 sets the interval to 10 seconds, and calculates the average value of 100 measured currents in the interval every 10 seconds. That is, the estimator 13 calculates the average value of the measured current for each of a plurality of intervals each having a length of 10 seconds. If the interval length is 10 seconds, a moving average is obtained for each of 8640 intervals of one day (24 hours).
- a given threshold value for example, 1(A)
- step S15 the server 10 repeats the processing of steps S12 to S14 until all electric vehicles 2 indicated in the report request are processed. If the process is repeated, the next electric vehicle 2 is selected in step S12, and the actual operation status of that electric vehicle 2 is estimated by a series of processes in steps S13 and S14.
- step S16 the generation unit 14 generates a report indicating operation information based on the actual operation status of each electric vehicle 2.
- This report is electronic data that can be visualized.
- the generation unit 14 may generate a report that indicates, as operation information, changes in the actual operation status of each electric vehicle 2 during the target period.
- the generation unit 14 may generate a report indicating statistical values of the actual operation status of each electric vehicle 2 as operation information.
- the generation unit 14 may calculate the average value of the actual operating conditions of a plurality of electric vehicles 2 at a specific location such as a sales office or work site, and generate a report showing the average value.
- step S17 the transmission unit 15 transmits the report to the user terminal 30.
- User terminal 30 receives and displays the report.
- the user can grasp the actual operation status of each electric vehicle 2 from this report.
- the user can use this report to determine the appropriate number of electric vehicles 2 in a specific location such as a sales office or work site, or to relocate the electric vehicles 2 between locations to achieve the appropriate number. can do.
- Fig. 5 shows two examples of reports. Both examples (a) and (b) show reports showing the actual operation status of eight electric vehicles 2 identified as FL-01 to FL-08 on a weekly basis.
- the report 310 in example (a) expresses the transition of the actual operation status by a time series heat map of the actual operation rate.
- the actual operating rate in the “total” row of the report 310 is the average value of the eight electric vehicles 2 .
- the report 320 in example (b) expresses the actual operation status by means of a time-series heat map of evaluation indexes set based on the actual operation rate.
- the evaluation index is an example of the actual operation status of the electric vehicle 2 .
- the generation unit 14 sets the relationship between the evaluation index and the actual operation rate as follows. An actual operation rate of 100% or more and an evaluation index of 1.2 indicate that the electric vehicle 2 has been operating longer than business hours.
- the evaluation index in the “whole” row of the report 320 is the total value of the eight electric vehicles 2 .
- the generation unit 14 may generate at least one of the reports 310 and 320, or may generate both the reports 310 and 320. In any event, the user can refer to report 310 or 320 and take steps to improve the number or placement of electric vehicles.
- FIG. 6 is a diagram showing another example of a report.
- a report 330 shown in this figure indicates the average actual operation status of the electric vehicle 2 in a certain year in each of the four sales offices on a monthly basis.
- a report 330 is an example of a report that indicates the actual operation status at each of a plurality of locations as operation information.
- the report 330 expresses the actual operation status by a line graph of the average value of the actual operation rate.
- the report 330 also shows a tightness level that is set based on each month's average.
- the tightness level is an index indicating whether or not the operation of the electric vehicle 2 is tight, and is also an example of the expression of the actual operation status. As the operation of the electric vehicle 2 loses its leeway, the tightness level increases.
- a report 330 indicates that sales office V and Y have low demand levels throughout the year, sales office X has a high demand level depending on the season, and sales office Z has a high demand level throughout the year.
- the user can refer to the report 330 and take steps to improve the number or placement of electric vehicles. For example, the user moves some electric vehicles 2 from sales office V or Y to sales office Z, or temporarily adds electric vehicles 2 to sales office X through a lease or rental contract at a specific time. can be adjusted.
- An operation management program for causing a computer or computer system to function as the operation management system 1 or server 10 functions as a receiving unit 11, an acquiring unit 12, an estimating unit 13, a generating unit 14, and a transmitting unit 15.
- contains program code for This operation management program may be provided after being non-temporarily recorded in a tangible recording medium such as a CD-ROM, a DVD-ROM, or a semiconductor memory.
- the operation management program may be provided via a communication network as a data signal superimposed on a carrier wave.
- the provided operation management program is stored in the auxiliary storage unit 103, for example.
- the processor 101 reads the operation management program from the auxiliary storage unit 103 and executes it, thereby realizing each of the functional modules described above.
- the operation management system includes an acquisition unit that acquires storage battery data indicating the state of a storage battery mounted on an electric vehicle, and an actual operation status of the electric vehicle based on the storage battery data. , a generation unit for generating a report indicating operation information based on the actual operation status, and an output unit for outputting the report.
- An operation management method is executed by an operation management system including at least one processor.
- This operation management method comprises the steps of acquiring storage battery data indicating the state of a storage battery mounted on the electric vehicle, estimating the actual operation status of the electric vehicle based on the storage battery data, and operating information based on the actual operation status. and outputting the report.
- An operation management program includes a step of acquiring storage battery data indicating a state of a storage battery mounted on an electric vehicle, a step of estimating an actual operation status of the electric vehicle based on the storage battery data, and a step of A computer is caused to execute a step of generating a report showing operating information based on the operating status and a step of outputting the report.
- the actual operation status of the electric vehicle can be estimated from the storage battery data related to the storage battery installed in the electric vehicle. Then, a report showing operation information based on the actual operation status is generated. This report can inform the user about the operational status of the electric vehicle. In one example, the user can refer to the report and take steps to improve the number of electric vehicles.
- the estimation unit estimates the actual operation rate, which is the ratio of the actual operation time of the electric vehicle to the business hours set as the time for operating the electric vehicle, as the actual operation status. good too. By using the ratio of actual operating hours to business hours, it is possible to provide the user with operating information that takes into account the actual use of the electric vehicle.
- the state of the storage battery may include at least the measured current of the storage battery.
- the estimation unit calculates a moving average of the measured current for each of a plurality of intervals set along the time axis, and sets a threshold for distinguishing whether the electric vehicle is in an idling state. selects a group of sections in which the moving average of the measured current is equal to or greater than the threshold from a plurality of sections, and calculates the actual operating time of the electric vehicle based on the number of sections that make up the group of sections and the length of each section. However, the actual operating status may be estimated based on the actual operating hours.
- the offset error due to temperature and the hysteresis error due to residual magnetism become large when the current is small, which increases the error in the measured value.
- the error can be reduced or avoided, and the actual operating time can be calculated with high accuracy.
- the generation unit may generate a report that expresses changes in the actual operation status in a given target period using a time-series heat map. With this time-series heat map, it is possible to present the user with an easy-to-understand transition of the actual operation status of the electric vehicle.
- the acquisition unit acquires storage battery data for at least one electric vehicle at each of a plurality of locations
- the estimation unit estimates the actual operation status of each electric vehicle
- the generation unit
- a report may be generated that shows the actual operation status at each of a plurality of locations as operation information.
- information regarding the actual operation of the electric vehicle can be transmitted to the user so that the user can grasp the situation at each of the plurality of locations at a glance.
- the electric vehicle may be a cargo handling vehicle.
- information regarding the actual operation of the cargo handling vehicle can be communicated to the user.
- the BMU 3 may calculate a moving average of the measured current and transmit storage battery data indicating this moving average to the database 20.
- the BMU 3 may transmit to the database 20 only the data of the section group in which the moving average of the measured current is equal to or greater than a given threshold.
- the threshold may be a value for distinguishing whether the electric vehicle 2 is in an idling state. In these cases, the amount of communication between the BMU 3 and the database 20 can be reduced, and the processing load on the server 10 can be reduced.
- the processing procedure of the method executed by at least one processor is not limited to the examples in the above embodiments. For example, some of the steps (processes) described above may be omitted, or the steps may be performed in a different order. Also, any two or more of the steps described above may be combined, and some of the steps may be modified or deleted. Alternatively, other steps may be performed in addition to the above steps.
- either of the two criteria of "greater than” and “greater than” may be used, and either of the two criteria of "less than” and “less than” may be used. may be Selection of such a criterion does not change the technical significance of the process of comparing two numerical values.
- the concept is shown including the case where the executing subject (that is, the processor) of n processes from process 1 to process n changes in the middle. That is, this expression shows a concept including both the case where all of the n processes are executed by the same processor and the case where the processors are changed according to an arbitrary policy in the n processes.
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Abstract
Description
実施形態に係る稼働管理システム1は、電動車の実稼働状況を推定し、その推定結果に基づくレポートをユーザに提供するコンピュータシステムである。電動車とは、蓄電池(二次電池)に蓄えられた電気エネルギを動力のすべてまたは一部として用いて走行する車両をいう。電動車は人を乗せるための車両でもよいし、荷物を移動させるための車両でもよい。電動車は荷物を移動させるための荷役車両でもよく、例えばフォークリフトでもよい。蓄電池の種類の例として鉛蓄電池およびリチウムイオン電池が挙げられるが、これらに限定されない。蓄電池は同じ種類の複数の単電池によって構成される組電池でもよい。「電動車の実稼働状況」とは、電動車が稼働すべき時間幅において、該電動車が実際にどのくらいの時間だけ稼働したかを示す情報である。一例では、稼働管理システム1は、鉛蓄電池を搭載する荷役車両の実稼働状況に基づくレポートをユーザに提供してもよい。
図3を参照しながら、稼働管理システム1(サーバ10)による処理の一例を説明するとともに、本実施形態に係る稼働管理方法の一例を説明する。図3はその処理の一例を処理フローS1として示すフローチャートである。
・評価指数=0.4(実稼働率が20%以上40%未満)
・評価指数=0.6(実稼働率が40%以上60%未満)
・評価指数=0.8(実稼働率が60%以上80%未満)
・評価指数=1.0(実稼働率が80%以上100%未満)
・評価指数=1.2(実稼働率が100%以上)
コンピュータまたはコンピュータシステムを稼働管理システム1またはサーバ10として機能させるための稼働管理プログラムは、該コンピュータまたはコンピュータシステムを受信部11、取得部12、推定部13、生成部14、および送信部15として機能させるためのプログラムコードを含む。この稼働管理プログラムは、CD-ROM、DVD-ROM、半導体メモリ等の有形の記録媒体に非一時的に記録された上で提供されてもよい。あるいは、稼働管理プログラムは、搬送波に重畳されたデータ信号として通信ネットワークを介して提供されてもよい。提供された稼働管理プログラムは例えば補助記憶部103に記憶される。プロセッサ101が補助記憶部103からその稼働管理プログラムを読み出して実行することで、上記の各機能モジュールが実現する。
以上説明したように、本開示の一側面に係る稼働管理システムは、電動車に搭載された蓄電池の状態を示す蓄電池データを取得する取得部と、蓄電池データに基づいて、電動車の実稼働状況を推定する推定部と、実稼働状況に基づく稼働情報を示すレポートを生成する生成部と、レポートを出力する出力部とを備える。
以上、本発明をその実施形態に基づいて詳細に説明した。しかし、本発明は上記実施形態に限定されるものではない。本発明は、その要旨を逸脱しない範囲で様々な変形が可能である。
Claims (8)
- 電動車に搭載された蓄電池の状態を示す蓄電池データを取得する取得部と、
前記蓄電池データに基づいて、前記電動車の実稼働状況を推定する推定部と、
前記実稼働状況に基づく稼働情報を示すレポートを生成する生成部と、
前記レポートを出力する出力部と、
を備える稼働管理システム。 - 前記推定部が、前記電動車を稼働させる時間として設定される営業時間に対する、前記電動車の実稼働時間の比である実稼働率を、前記実稼働状況として推定する、
請求項1に記載の稼働管理システム。 - 前記蓄電池の状態が、前記蓄電池の測定電流を少なくとも含み、
前記推定部が、
前記蓄電池データに基づいて、時間軸に沿って設定された複数の区間のそれぞれについて前記測定電流の移動平均を算出し、
前記電動車がアイドリング状態であるか否かを区別するための閾値を用いて、前記複数の区間から、前記測定電流の移動平均が該閾値以上である区間群を選択し、
前記区間群を構成する区間の個数と各区間の長さとに基づいて前記電動車の実稼働時間を算出し、
前記実稼働時間に基づいて前記実稼働状況を推定する、
請求項1または2に記載の稼働管理システム。 - 前記生成部が、所与の対象期間における前記実稼働状況の推移を時系列ヒートマップによって表現する前記レポートを生成する、
請求項1~3のいずれか一項に記載の稼働管理システム。 - 前記取得部が、複数の場所のそれぞれにおける少なくとも一つの前記電動車について前記蓄電池データを取得し、
前記推定部が、それぞれの電動車について前記実稼働状況を推定し、
前記生成部が、前記複数の場所のそれぞれにおける前記実稼働状況を前記稼働情報として示す前記レポートを生成する、
請求項1~4のいずれか一項に記載の稼働管理システム。 - 前記電動車が荷役車両である、
請求項1~5のいずれか一項に記載の稼働管理システム。 - 少なくとも一つのプロセッサを備える稼働管理システムにより実行される稼働管理方法であって、
電動車に搭載された蓄電池の状態を示す蓄電池データを取得するステップと、
前記蓄電池データに基づいて、前記電動車の実稼働状況を推定するステップと、
前記実稼働状況に基づく稼働情報を示すレポートを生成するステップと、
前記レポートを出力するステップと、
を含む稼働管理方法。 - 電動車に搭載された蓄電池の状態を示す蓄電池データを取得するステップと、
前記蓄電池データに基づいて、前記電動車の実稼働状況を推定するステップと、
前記実稼働状況に基づく稼働情報を示すレポートを生成するステップと、
前記レポートを出力するステップと、
をコンピュータに実行させる稼働管理プログラム。
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