JP2023168390A - Maintenance terminal device, maintenance support method, maintenance support system, maintenance support device and computer program - Google Patents

Abstract

To provide a maintenance support method, a maintenance support system, a maintenance support device and a computer program which can stably and continuously utilize a system including a power storage element.SOLUTION: A maintenance support method detects a sign of an abnormality of a power storage element on the basis of measurement data about the power storage element successively stored in a storage device, decides at least one of a work period of the maintenance work corresponding to the detected sign of the abnormality, the number of workers, and articles including a replacement article or tool required for the maintenance work, and notifies the workers of the maintenance work of execution of the maintenance work corresponding to the decided items.SELECTED DRAWING: Figure 8

Description

The present invention relates to a maintenance support method, a maintenance support system, a maintenance support device, and a computer program that support maintenance and management work for power storage elements.

Energy storage elements are widely used in devices connected to renewable energy sources such as solar power generation and wind power generation, uninterruptible power supplies, DC or AC power supplies included in stabilized power supplies, and the like. The power storage element is used as a backup power source in case there is a problem with the power supply from the power generation system. Since troubles in power supply greatly hinder social activities, it is extremely important to stabilize power supply using power storage elements.

The power storage element used as a backup power source is in a standby state when the power supply from the power generation system is normal, that is, when no disaster or power system trouble has occurred. Even if a power storage element is in a standby state and is not charged or discharged, it gradually deteriorates from the time it is manufactured, and there is a possibility that it will not be able to be properly charged and discharged when it actually needs to be operated. Depending on the individual characteristics of the energy storage element and the environment in which it is used, it may not be possible to achieve the performance expected at the time of manufacture.

Patent Document 1 discloses that when an abnormal situation occurs in an electric power system, a report including information captured in progress is automatically created to reduce the burden on the operator of the electric power system, and the report is verified. A supervisory control device is disclosed that enables appropriate measures to be taken.

JP2010-206985A

Preventive maintenance is essential for power storage elements, such as performing maintenance inspections that include observing the progress of deterioration, and replacing them appropriately if the deterioration has progressed more than expected in the model. If an abnormality in the energy storage element is discovered during maintenance inspection, or if an abnormality is automatically detected by the monitoring and control device, we will then verify the abnormality, confirm the implementation of repairs to the customer based on the verification results, arrange for repairs, And while the actual repair work is being carried out to restore the normal state, the power storage element is forced to stop. In order not to interfere with social activities, power supply must be stable 24 hours a day, 365 days a year, and the period when power storage elements in standby are out of service must be kept as short as possible, and if possible, reduced to zero. .

In order to shorten downtime, frequent maintenance and inspections are expected to prevent problems from occurring. However, frequent maintenance and inspection requires a large amount of human resources and is difficult to implement. There is a need to reduce the burden on maintenance workers, to achieve efficient and reliable maintenance of systems including power storage elements, and to provide a stable supply of electric power even when unpredictable situations occur.

An object of the present invention is to provide a maintenance support method, a maintenance support system, a maintenance support device, and a computer program for stably operating a system including a power storage element.

The maintenance support method detects a sign of abnormality in the power storage element based on measurement data regarding the power storage element that is sequentially stored in a storage device, and detects the period of maintenance work, the number of workers, and the number of workers corresponding to the detected sign of abnormality. and determining at least one of a replacement item or an article including tools necessary for the maintenance work, and notifying the operator of the maintenance work of the maintenance work corresponding to the determination.

An overview of the maintenance support system is shown. FIG. 2 is a block diagram showing the internal configuration of devices included in the maintenance support system. FIG. 2 is a block diagram showing the internal configuration of maintenance equipment. It is a flowchart which shows an example of the process procedure of detecting the sign of abnormality of a 2nd phase in a remote monitoring system. An overview of the judgment model is shown below. 12 is a flowchart illustrating another example of the processing procedure for detecting signs of a second phase abnormality in the remote monitoring system. An overview of the image judgment model is shown below. It is a flowchart which shows an example of the processing procedure in a 3rd phase in a maintenance support system.

The maintenance support method detects a sign of abnormality in the power storage element based on measurement data regarding the power storage element that is sequentially stored in a storage device, and detects the period of maintenance work, the number of workers, and the number of workers corresponding to the detected sign of abnormality. and determining at least one of a replacement item or an article including tools necessary for the maintenance work, and notifying the operator of the maintenance work of the maintenance work corresponding to the determination.

With the above configuration, signs of abnormality are automatically detected based on stored measurement data, so the burden on maintenance workers is reduced. By sequentially storing the measurement data, the computer can use the measurement data to detect signs of abnormality and determine necessary maintenance work. Compared to the case where a maintenance worker actually inspects the power storage element to determine the cause after an abnormality appears, the time required to investigate the cause can be shortened, and the period during which the device including the power storage element is stopped can be shortened.

When the power storage element is configured to include a plurality of power storage elements, the detection of the sign of abnormality is performed for each of the plurality of power storage elements or a group of the power storage elements. For the energy storage element or energy storage element group for which a sign has been detected, the construction period, the number of workers or materials, the workers, and the implementation date and time are determined so that the operation of other energy storage elements can be continued.

When a plurality of power storage elements are included, it is possible to continue operation as a whole even if some of the power storage elements have an abnormality. With the above configuration, operation is continued with other power storage elements for which no signs of abnormality have been detected, and a stable state can be maintained 24 hours a day, 365 days a year.

When measurement data measured for each energy storage element or for each energy storage element group including a plurality of energy storage elements is input, whether or not the measurement data includes measurement data of a different energy storage element is input. A decision model trained to output a corresponding score may be used. If it is determined that measurement data of a different power storage element is included based on the score output by the determination model, the heterogeneity is determined, and a sign of abnormality of the power storage element is determined based on the determined heterogeneity. is detected.

With the above configuration, it is possible to detect abnormality signs with higher precision and faster than human manual analysis of measurement data. By using the degree of heterogeneity and identifying a heterogeneous energy storage element that does not match the assumed model at the time of manufacture as the cause of the abnormality, it is possible to make the energy storage element as a whole match the assumed model, and improve the accuracy of abnormality detection and life prediction.

The maintenance support method creates a time distribution of scores output from the judgment model in response to input of measurement data of the power storage element group, and distinguishes urgency and eliminates heterogeneity based on the created time distribution. It may include processing for determining.

With the above configuration, the heterogeneity of the power storage element can be determined by distinguishing whether it is urgent or not according to the change in the heterogeneity score with respect to time, and maintenance work can be efficiently performed according to the urgency.

In the maintenance support method, when an image of a created time distribution is input, measurement data of a power storage element or a group of power storage elements corresponding to the time distribution includes measurement data of a different power storage element. An image judgment model that has been trained to output a score corresponding to whether the The maintenance support method may include a process of converting the created time distribution into an image and inputting it to the image determination model, and determining heterogeneity of the power storage element group based on a score output from the image determination model.

The above configuration makes it possible to detect signs of abnormality and determine heterogeneity with higher accuracy and speed than human manual analysis of measurement data. By being able to identify heterogeneity, rapid maintenance work based on accurate preparation becomes possible.

The maintenance support method determines a worker and an implementation date and time for the maintenance work based on a list of workers who can perform the maintenance work and schedule data of each worker, and sends the maintenance work to the determined worker. It may include processing for notifying implementation.

With the above configuration, the schedule data automatically determines the workers who can perform the work within the required construction period. Work can be allocated according to an appropriate schedule.

The maintenance support method may receive approval for implementation of the maintenance work from the owner of the power storage element, and notify implementation of the maintenance work when the implementation approval is received.

As a result, maintenance work can be smoothly performed with the consent of the owner of the power storage element. Depending on the nature of the abnormality in the power storage element and the nature of maintenance work, the owner may choose not to consent.

The maintenance support method may determine an implementation date and time based on device operation information obtained from the owner when the implementation approval is accepted.

Since the actual date and time of the maintenance work is determined based on the operation information of the device, the owner can make a selection that allows the maintenance work to be performed while continuing the operation of the device including the power storage element.

If the implementation approval is accepted, the items necessary for the maintenance work may be automatically ordered from the seller of the items. The identification data of the ordered item is notified to the worker.

With the above configuration, ordering work is also performed automatically, reducing the burden on maintenance workers or sales personnel.

Estimate data for the maintenance work may be created based on the determined construction period, number of workers, and necessary items, and the implementation approval may be accepted based on the estimate data.

With the above configuration, it is possible to reduce the burden on maintenance workers or sales personnel when it comes to preparing estimates. Meetings with customers regarding maintenance and inspection implementation become smoother.

The power storage element may be a power storage element included in an uninterruptible power supply. With the above configuration, maintenance and inspection for preventing troubles in the power storage element used as a backup power source can be carried out efficiently and reliably. This can contribute to stabilizing the power supply. Uninterruptible power supplies are used for backup during power outages. Since it is unacceptable to be unable to back up data in the event of a power outage, it is extremely important to detect signs of abnormality in order to prevent trouble.

The maintenance support method can be implemented by a system that includes multiple devices. The maintenance support system includes: a storage device that periodically acquires and sequentially stores measurement data regarding power storage elements; a maintenance terminal device that can be connected to the storage device; and a maintenance support device that can be connected for communication from the maintenance terminal device. including. When an abnormality or a sign of abnormality in the power storage element is detected based on measurement data regarding the power storage element, the maintenance support device determines the period of maintenance work, the number of workers, and the number of workers related to the detected abnormality or sign of abnormality. Determine replacement items and/or items, including tools, required for maintenance work. The maintenance support device transmits execution instructions including decisions to be made to the maintenance worker.

The maintenance support device detects the detected abnormality when an abnormality sign of the power storage element is detected based on measurement data regarding the power storage element that is sequentially stored in a storage device in association with identification data for identifying the power storage element. a determining unit that determines at least one of the period of maintenance work, the number of workers, and items including replacement items or tools necessary for the maintenance work regarding the signs of the maintenance work; and a transmitter that transmits the implementation instruction.

The maintenance support method may be realized as a computer program. This computer program causes a computer to detect a sign of abnormality in the power storage element based on measurement data regarding the power storage element that is sequentially stored in a storage device in association with identification data for identifying the power storage element, and detects a sign of abnormality in the power storage element. Determine at least one of the period of maintenance work, the number of workers, and the replacement items or items including tools required for the maintenance work in response to the signs of abnormality, and respond to the decisions made to the maintenance work workers. Executes a process that notifies you of the maintenance work to be performed.

The present invention will be specifically described with reference to drawings showing embodiments thereof.

FIG. 1 shows an overview of a maintenance support system 100. The maintenance support system 100 includes a maintenance support device 1 and a maintenance terminal device 2 used by a maintenance worker. The maintenance support system 100 can be communicatively connected to the remote monitoring system 300. The maintenance support system 100 can be communicatively connected to the customer data management system 400. In this embodiment, the maintenance support system 100, the remote monitoring system 300, and the customer data management system 400 are managed by the manufacturer of the power storage element 50 to be maintained, and communicate with each other via the manufacturer's network MN or a dedicated line. Connectable. Maintenance support system 100 may be communicatively connectable to a manufacturing management system (not shown) for power storage element 50.

Network MN is a local network for manufacturers. The network MN is, for example, Ethernet (registered trademark), and may be an optical line. The network MN may include a VPN (Virtual Private Network) to connect systems 100, 300, and 400 in different locations as a local network. The connection between the maintenance support system 100 and the remote monitoring system 300 and between the maintenance support system 100 and the customer data management system 400 may be part of the network MN, or may be a dedicated line or VPN.

The maintenance terminal device 2 and the maintenance support device 1 can be communicatively connected via the communication network N or the network MN. The communication network N is the so-called Internet. The communication network N may include a carrier network that implements wireless communication according to a predetermined mobile communication standard. The communication network N may include a general optical line.

Customer data management system 400 stores data on customers who have purchased power storage elements to be maintained. The customer data management system 400 stores attribute data such as the customer's name, customer's contact information, and address in association with the customer ID. When a customer installs and manages a plurality of power storage devices 5 at different locations, customer data management system 400 stores the locations in association with location IDs that identify the locations. Customer data management system 400 stores the serial number of power storage element 50 purchased by the customer in association with the customer ID. When a customer installs and manages multiple power storage devices 5 in different locations, customer data management system 400 stores the serial number of the installed power storage device 50 in association with the customer ID and location ID. .

Remote monitoring system 300 collects data indicating the state of power storage element 50 to be maintained, and realizes remote status viewing based on the data collected via the network. Remote monitoring system 300 sequentially stores state data of power storage element 50 in association with the serial number of power storage element 50. When the remote monitoring system 300 receives state data of the power storage element 50, it determines whether or not there is a sign of an abnormality in the power storage element 50 using a determination model 3M that outputs a score related to a sign of abnormality. The remote monitoring system 300 may derive diagnostic data for each power storage element 50, including the SOC (State Of Charge), SOH (State Of Health), predicted lifespan, etc., for each power storage element 50 based on the state data. .

The manufacturing management system preferably stores the manufacturing lot number and shipping date and time in association with the manufacturing number of the power storage element 50.

The power storage element 50 to be maintained in the maintenance support system 100 is preferably rechargeable, such as a secondary battery including a lead acid battery and a lithium ion battery, or a capacitor. A portion of the power storage element 50 may be a non-rechargeable primary battery. Each of the power storage elements 50 in this embodiment is a lead-acid battery. The power storage element 50 may be a power storage module in which a plurality of power storage cells are connected. The power storage element 50 may be a power storage cell itself or a power storage module group in which a plurality of power storage modules are connected.

Power storage device 5 includes one or more power storage elements 50. Power storage device 5 may be used alone. The power storage device 5 may be used as a group of power storage devices 5 communicatively connected to a customer network CN managed by the customer (user) of the power storage element 50 . A group of power storage devices 5 managed by the same customer transmits state data of power storage elements 50 to a management device 51 managed by the customer via the customer's network CN. The status data includes at least a voltage value, and may also include an internal resistance value, a current value, and a temperature. The status data is transmitted from a unit connected to a terminal of a power storage element 50, which is a lead-acid battery, to a management device 51 via a maintenance communication device 6. The status data may be transmitted by a maintenance communication device 6 connected to a battery management unit (BMU) provided in a power storage module including a lithium ion battery. The status data may also be transmitted from the maintenance communication device 6 to the maintenance terminal device 2. Status data transmitted from the plurality of power storage devices 5 is transmitted to remote monitoring system 300 via dedicated line N2 or communication network N. The state data is stored as a state history in association with identification data such as a serial number that identifies each power storage element 50. Identification data for identifying each power storage element 50 is stored for each power storage device 5 in association with identification data for identifying the power storage device 5.

A maintenance communication device 6 is provided in the power storage device 5 . The maintenance communication device 6 can exchange data with the maintenance terminal device 2 used by a maintenance worker without going through the network CN. The maintenance communication device 6 can be communicatively connected to a unit that acquires status data about each of the power storage elements 50 of the power storage device 5 . The maintenance communication device 6 in this embodiment can be connected to a unit connected to a terminal of a lead-acid battery by wireless communication. The maintenance communication device 6 may be able to be communicatively connected to a battery management unit (BMU) provided in a power storage module of a lithium ion battery. The maintenance communication device 6 stores the same state data as the state data transmitted from the power storage device 5 to the management device 51 in its built-in memory.

Network CN is a local network of a customer that operates a plurality of power storage devices 5. The network CN is, for example, Ethernet (registered trademark), and may be an optical line. Network CN may include a VPN. The network CN may be an ECHONET (registered trademark)/ECHONETLite (registered trademark) compatible network. Dedicated line N2 is a private network that connects the customer of power storage device 5 and remote monitoring system 300. The dedicated line N2 may be the communication network N. The dedicated line N2 may be a dedicated network compatible with ECHONET/ECHONETLite.

Maintenance support system 100 of this embodiment supports maintenance management of power storage element 50 or power storage device 5. The maintenance support system 100 uses status data obtained via the maintenance terminal device 2 or the customer's network CN, customer data obtained from the customer data management system 400, and data obtained from the remote monitoring system 300 to support maintenance management. Use diagnostic data. In the maintenance support system 100, the remote monitoring system 300 detects a sign of an abnormality from the aggregated status data, and the maintenance support device 1 supports work before a trouble occurs based on the detected abnormality or the sign of the abnormality. The maintenance support device 1 arranges for maintenance work to prevent trouble in accordance with the content of the detected sign of an abnormality, and after receiving confirmation from the customer, stops the customer's system in a planned manner. Have maintenance work carried out. There is no need for maintenance workers to analyze and analyze condition data manually. Since the maintenance support device 1 deals with trouble before it occurs, maintenance work can be carried out according to a schedule planned in advance so as not to hinder operation, and as a result, the downtime of the customer's system can be shortened. When a plurality of power storage elements 50 are used as power storage device 5, maintenance support device 1 can plan maintenance work to continue operation of power storage device 5 by detecting signs of abnormality in some parts. . Maintenance workers do not need to visit the customer's system multiple times because they can perform pre-arranged maintenance work according to a pre-planned schedule.

A detailed configuration for realizing such a maintenance support system 100 for power storage element 50 will be described.

FIG. 2 is a block diagram showing the internal configuration of devices included in the maintenance support system 100. The maintenance support device 1 uses a server computer and includes a control section 10, a storage section 11, and a communication section 12. Although the maintenance support device 1 will be described as one server computer in this embodiment, processing may be distributed among a plurality of server computers.

The control unit 10 is a processor using a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit), and uses built-in memories such as ROM and RAM to control each component and execute processing. The control unit 10 executes processing based on the maintenance support program 1P stored in the storage unit 21.

The storage unit 11 uses a nonvolatile memory such as a hard disk or SSD (Solid State Drive), for example. The storage unit 11 stores the maintenance support program 1P described above. The maintenance support program 1P may be a maintenance support program 7P stored in the recording medium 7 that is read out by the control unit 10 and copied into the storage unit 11. The storage unit 11 stores worker data including worker IDs of maintenance workers. The worker data includes contact information such as a worker name and an e-mail address in association with a worker ID.

The communication unit 12 is a communication device that realizes communication connection and data transmission/reception via the network MN. Specifically, the communication unit 12 is a network card compatible with the network MN. The communication unit 12 may realize communication via the communication network N via a router device (not shown) connected to the network MN. The control unit 10 transmits and receives data to and from the remote monitoring system 300 and the customer data management system 400 through the communication unit 12 .

The maintenance terminal device 2 is a computer used by a maintenance worker. The maintenance terminal device 2 may be a desktop or laptop personal computer, or may be a so-called smartphone or tablet communication terminal. The maintenance terminal device 2 includes a control section 20, a storage section 21, a first communication section 22, a second communication section 23, a display section 24, and an operation section 25. The maintenance terminal device 2 may include an imaging unit 26 as shown in the figure.

The control unit 20 is a processor using a CPU or GPU. The control unit 20 causes the display unit 24 to display the repair procedure based on the maintenance terminal program 2P stored in the storage unit 21. The control unit 20 executes a process of reading information data from the maintenance communication device 6. The control unit 20 executes information processing with the maintenance support device 1 using a Web browser included in the maintenance terminal program 2P.

The storage unit 21 uses, for example, a hard disk or a nonvolatile memory such as a flash memory. The storage unit 21 stores various programs including the maintenance terminal program 2P. The storage unit 21 stores screen data based on the maintenance terminal program 2P. The maintenance terminal program 2P may be obtained by reading the maintenance terminal program 8P stored in the recording medium 8 by the control unit 20 and copying it into the storage unit 21.

The first communication unit 22 is a communication device for realizing data communication via the communication network N or network MN. The first communication unit 22 may be a communication device such as a network card for wired communication. The first communication unit 22 may be a wireless communication device for mobile communication connected to the base station BS (see FIG. 1). The first communication unit 22 may use a wireless communication device that supports connection to the access point AP.

The second communication unit 23 is a communication device that is communicatively connected to the maintenance communication equipment 6 to realize data communication. The second communication unit 23 may be a wireless communication device such as Wifi or Bluetooth (registered trademark). The second communication unit 23 may be a USB (Universal Serial Bus) interface.

The display unit 24 uses a display such as a liquid crystal display or an organic EL (Electro Luminescence) display. The display unit 24 displays an operation screen based on the maintenance terminal program 2P of the control unit 20 and an image of a web page provided by the maintenance support device 1. The display unit 24 is preferably a display with a built-in touch panel. The display unit 24 may be a display without a built-in touch panel.

The operation unit 25 is a keyboard and pointing device that can input and output data to and from the control unit 20 . The operation unit 25 may be a user interface such as a voice input unit. The operation unit 25 may use a touch panel of the display unit 24 or a physical button provided on the housing. The operation unit 25 notifies the control unit 20 of operation information by the user.

The imaging unit 26 outputs a captured image obtained using an image sensor. The control unit 20 can acquire an image captured by the image sensor of the image capture unit 26 at any timing.

FIG. 3 is a block diagram showing the internal configuration of the maintenance communication device 6. As shown in FIG. The maintenance communication device 6 includes a control section 60 , a storage section 61 , a first communication section 62 , a second communication section 63 , and a third communication section 64 . The control unit 60 uses a CPU or a microprocessor. The storage unit 61 stores a predefined program.

The storage unit 61 uses nonvolatile memory such as flash memory. Storage unit 61 stores state data received from power storage element 50.

The first communication unit 62 is a communication device that realizes a communication connection with a unit connected to the power storage element 50. In this embodiment, the first communication unit 62 communicates with the power storage element unit by wireless communication such as Bluetooth (registered trademark).

The second communication unit 63 is a communication device that realizes a communication connection via the network CN. The maintenance communication device 6 can transmit the status data received from the power storage element 50 to the management device 51 using the second communication unit 63 . When the power storage element 50 includes a battery management device having a communication function, the second communication unit 63 is unnecessary.

The third communication unit 64 is a communication device that realizes a communication connection between the maintenance communication equipment 6 and the maintenance terminal device 2. In this embodiment, the third communication unit 64 is a USB interface. The third communication unit 64 may be a different wireless communication device from the first communication unit 62.

The control unit 60 of the maintenance communication device 6 periodically acquires status data from the power storage element 50 using the first communication unit 62 based on the program. The control unit 60 sequentially stores the acquired state data in the storage unit 61. The storage cycle is, for example, about once a day when the power storage element 50 is a lead battery. The control unit 60 stores the acquired date and time in the storage unit 61 in association with the status data. The control unit 60 sequentially transmits the acquired state data from the second communication unit 63 to the management device 51. Based on the program, when the control unit 60 is communicatively connected to the maintenance terminal device 2 by the third communication unit 64, the control unit 60 reads the status data from the storage unit 61 in response to an instruction from the maintenance terminal unit 2, and stores the status data in the third communication unit 64. It is transmitted from the communication unit 64.

Maintenance support system 100 configured as described above and maintenance communication device 6 provided in power storage device 5 support maintenance management as described below.

First, the remote monitoring system 300 can also aggregate status data that is not transmitted to the remote monitoring system 300 by the maintenance communication device 6 via the network CN. The maintenance terminal device 2 owned by a maintenance worker acquires status data accumulated in the maintenance communication device 6 when performing periodic maintenance inspections. The maintenance terminal device 2 transmits status data to the remote monitoring system 300 via the network MN or communication network N, and causes the remote monitoring system 300 to aggregate the status data. Even if the communication connection between the customer's network CN and the remote monitoring system 300 is difficult for security reasons, status data can be aggregated in the remote monitoring system 300 during periodic inspections.

Second, the remote monitoring system 300 that aggregates state data periodically executes the process described below for each target power storage element 50, for example, each power storage device 5 to which a plurality of power storage elements 50 are connected, and detects abnormalities. Determine whether there is a sign (second phase). When the power storage element 50 is a lead-acid battery, the execution cycle is 3 months, 6 months, etc. The execution cycle is shorter than the regular inspection cycle. When the power storage element 50 is a lithium ion battery, the execution cycle may similarly be 3 months or 6 months. The execution cycle may be shortened depending on the period of use.

Thirdly, when it is detected that there is a sign of an abnormality through the processing of the remote monitoring system 300, the maintenance support device 1 arranges for maintenance work to prevent trouble before it occurs. 3 phases). The details of the arrangement will be notified to the maintenance worker. Based on the notified work details, the maintenance worker goes to the installation location of the power storage device 5 where the sign was detected and performs the work.

The processing in the second phase and the third phase will be explained in detail below.

FIG. 4 is a flowchart illustrating an example of a processing procedure for detecting signs of abnormality in the second phase in the remote monitoring system 300. The remote monitoring system 300 executes the following process each time a cycle arrives.

Remote monitoring system 300 selects some of the plurality of power storage elements 50 included in power storage device 5 (step S101). In step S101, remote monitoring system 300 selects identification data of a power storage element group (power storage element group) that corresponds to identification data of power storage device 5 to which power storage element 50 belongs.

Remote monitoring system 300 acquires status data of the selected power storage element group (step S102). In step S102, the remote monitoring system 300 acquires, for example, the latest data on voltage values as state data. The state data may be an internal resistance value.

The remote monitoring system 300 inputs the acquired state data to the determination model 3M (step S103), and acquires a score regarding the determination output from the determination model 3M (step S104). The score in this embodiment is a score corresponding to whether or not the input state data includes measurement data of a different power storage element.

The remote monitoring system 300 determines whether measurement data of a different power storage element is included based on the score output from the determination model 3M (step S105). If it is determined in step S105 that the remote monitoring system 300 is included (S105: YES), the remote monitoring system 300 determines heterogeneity (step S106). In step S106, remote monitoring system 300 determines heterogeneity based on state data of a plurality of power storage elements 50 included in power storage device 5 determined to have a sign. The determination model 3M will be described later.

Remote monitoring system 300 determines whether all the plurality of power storage elements 50 included in target power storage device 5 have been selected (step S107). If it is determined that it has not been selected (S107: NO), the remote monitoring system 300 returns the process to step S101.

If it is determined that all have been selected (S107: YES), remote monitoring system 300 determines whether there is a sign of abnormality in power storage device 5 based on the heterogeneity determined in step S106 (step S108). Heterogeneity also includes things that are not related to abnormalities, such as being new or having a longer life than the assumed model at the time of manufacture. In step S<b>108 , remote monitoring system 300 detects a sign of an abnormality if a heterogeneous power storage element 50 having an abnormally short life span is included. There is a non-zero possibility that the long-life energy storage element 50 and the new energy storage element 50 will be in an unbalanced state with other energy storage elements 50 and cause trouble, so the remote monitoring system 300 also detects abnormalities regarding these heterogeneities. It may be determined that there is a sign. The determination model 3M may output a score regarding heterogeneity, and the remote monitoring system 300 may execute steps S105 to S108 all at once.

If it is determined that there is a sign of an abnormality (S108: YES), the remote monitoring system 300 uses the identification data of the selected power storage device 5 and the identification data of the power storage element group determined to include the different power storage element 50. and a message of sign detection including heterogeneity is notified to the maintenance support device 1 (step S109). Remote monitoring system 300 ends the process.

If it is determined in step S105 that it is not included (S105: NO), and if it is determined in step S108 that there is no sign of an abnormality (S108: NO), the remote monitoring system 300 continues the process as is. finish.

FIG. 5 shows an overview of the determination model 3M. In one example, the determination model 3M uses a convolutional neural network. The determination model 3M is a classifier that classifies power storage devices 5 that include standard power storage elements 50 that are not foreign and power storage devices 5 that include other power storage elements 50 that are different. The determination model 3M includes an input layer 301 that inputs the voltage value of each of the power storage elements 50 included in the selected power storage device 5. The determination model 3M includes an output layer 302 that outputs a score regarding the degree of heterogeneity based on the input voltage value. The decision model 3M includes an intermediate layer 303 including a convolution layer or a pooling layer. The determination model 3M uses a neural network to process training data including state data labeled as a non-different standard energy storage cell (e.g., "0") and state data labeled with a different label (e.g., "1"). They are learning by giving to others. The determination model 3M is trained using the voltage values measured for each of the power storage elements 50. The determination model 3M may be trained using internal resistance values. The determination model 3M outputs a heterogeneity score (a numerical value between 0 and 1) from the output layer 302 for given state data.

The determination model 3M is not limited to a classifier, but may be a convolutional neural network that outputs feature amounts. The determination model 3M may be configured with a network using a recurrent neural network, LSTM (Long Short-term Memory), etc., which inputs time-series data of measurement data of the same power storage element 50 and outputs a feature amount.

Judgment model 3M is a model that uses the average, standard deviation, median, etc. of voltage values or internal resistance values to statistically calculate whether or not outliers are included, and if so, the degree of outliers. There may be. The determination model 3M may be a model that determines a trend using time-series data of the state data and outputs a score representing the degree of heterogeneity based on the difference in the trend. The determination model 3M may use a k-nearest neighbor algorithm. Using this determination model 3M, the remote monitoring system 300 may determine whether the target measurement data belongs to a non-different class or a different class that has been learned in advance based on teacher data. The remote monitoring system 300 may perform clustering and determination based on a determination model 3M (determination program) that uses the k-means method or the EM method. The remote monitoring system 300 reduces target measurement data to determine whether or not it is heterogeneous based on a determination model 3M (determination program) using PCA (Principal Component Analysis). Good too.

The accuracy of determining whether or not a heterogeneous power storage element 50 is included in the power storage element group is improved by using the time transition of the output heterogeneity degree. FIG. 6 is a flowchart illustrating another example of the processing procedure for detecting signs of abnormality in the remote monitoring system 300. Among the processing procedures shown in FIG. 6, the same steps as those shown in FIG. 4 are given the same step numbers, and detailed description thereof will be omitted.

Remote monitoring system 300 stores the degree of heterogeneity acquired in step S104 in association with the identification data and time information of the selected power storage device 5 (step S121).

Remote monitoring system 300 reads out the degree of heterogeneity of the stored past predetermined period for power storage device 5 selected in step S101 (step S122). The remote monitoring system 300 creates a time distribution of the degree of heterogeneity for a predetermined period in the past (step S123).

The remote monitoring system 300 determines the power storage element group based on the heterogeneity value read in step S122, the time distribution created in step S123, and/or the state data of the power storage elements 50 included in the selected power storage device 5. It is determined whether or not the storage cell includes a different kind of storage cell (S105). If it is determined in step S105 that a different kind of energy storage cell is included (S105: YES), the remote monitoring system 300 uses the time distribution created in step S123 in step S106 to distinguish the urgency. good. The remote monitoring system 300 may determine whether the heterogeneity is such that a trouble will occur within one month or three months, or the heterogeneity is such that continuous operation can be expected for about six months.

Detection accuracy can be improved by detecting signs of abnormality based on time distribution. There is a possibility that the heterogeneity of the connected power storage element group will balance out over time and become normal. In order to avoid mistakenly detecting this as a sign of abnormality, the sign of abnormality is detected based on the time distribution.

Deep learning may be applied to the process itself in step S105. The time distribution of the degree of heterogeneity may be input as an image, and whether or not it is heterogeneous and the heterogeneity (type) may be determined based on the pattern of the time distribution. FIG. 7 shows an outline of the image judgment model 32M used for detecting signs of abnormality. The image judgment model 32M shown in FIG. 7 inputs the temporal distribution of the degree of heterogeneity outputted from the judgment model 3M, which has been trained to output the degree of heterogeneity when state data is input, and determines whether the degree of heterogeneity includes cells that are heterogeneous or not. Outputs a score indicating the probability of failure.

The image determination model 32M is a neural network including an intermediate layer including a convolution layer or a pooling layer for extracting feature amounts. When an image of a time distribution is input, the image determination model 32M outputs a degree of accuracy (score) that includes measurement data of a different power storage cell in the measurement data related to the time distribution. Image judgment model 32M is stored in remote monitoring system 300 together with judgment model 3M. As shown in FIG. 7, the image judgment model 32M is trained using teacher data that is a pair of an image of a time distribution and a result judged by an operator.

The image determination model 32M may be trained as a model for determining the heterogeneity of different electricity storage cells, if training data can be collected. The image determination model 32M may determine, for example, which pattern is pattern A, pattern B, or pattern C in FIG. 7, that is, the heterogeneity. The remote monitoring system 300 determines the degree of heterogeneity based on the value of the degree of heterogeneity used for the determination in step S105 in the flowchart of FIG. may be determined. The remote monitoring system 300 may identify the degree of foreignness, ie, how much it deviates from the standard power storage element 50. The remote monitoring system 300 uses the image judgment model 32M to determine whether the foreign substance is a "new energy storage cell" or "a energy storage element of better quality (longer life) than a standard energy storage element"; Heterogeneity may be determined, such as whether the power storage element has a shorter lifespan than the power storage element.

The judgment model 3M was trained to output the degree of heterogeneity as described above. By replacing a foreign energy storage element 50 that does not match the assumed model at the time of manufacture, the energy storage element 50 included in the power storage device 5 is made to match the assumed model at the time of manufacture, and the accuracy of deterioration level or life prediction can be improved. It is expected that this will improve the results. Detection of signs of abnormality is not limited to methods using heterogeneity.

The determination model 3M may be trained as a model that does not use the degree of heterogeneity and outputs a discrimination label of the content of the sign of abnormality and a score indicating the accuracy. The determination model 3M is based on the time distribution of the state data of the power storage element 50 in which an abnormality was detected in the past and the time distribution of the state data until the standard power storage element 50 that matches the assumed model at the time of manufacture reaches its end of life. The accumulated data is used as known training data for learning.

FIG. 8 is a flowchart showing an example of the processing procedure in the third phase in the maintenance support system 100. The maintenance support device 1 receives a sign detection message from the remote monitoring system 300 (step S201). The control unit 10 determines necessary maintenance work based on the identification data and heterogeneity of the power storage element group including the different power storage elements 50 included in the message (step S202). The control unit 10 may determine the necessary maintenance work by referring to the contents of the maintenance work tabulated in the storage unit 11 in association with the heterogeneity. The control unit 10 performs machine learning based on the past maintenance work history so as to output the details of the maintenance work (the construction period, number of workers, and required materials, which will be described later) when the history of heterogeneity or status data is input. Maintenance work may be determined based on the learned model.

In step S202, when urgency is distinguished from heterogeneity, the control unit 10 can appropriately determine the content of the maintenance work according to the urgency of the sign. The urgency of a sign is classified into whether it is a sign that a problem will occur within one month, or whether it is a sign that normal operation will be possible for about six months. It is preferable that the storage unit 11 stores the correspondence between the heterogeneity and the content of the maintenance work by distinguishing the urgency.

In step S202, the control unit 10 determines maintenance work for the power storage element group including the different power storage elements 50 so that the operation of the other power storage element groups can continue and the power storage device 5 as a whole can continue to operate. The power storage device 5 includes a plurality of power storage elements 50, and even if there is an abnormality in one part, it is possible to continue the operation of the power storage device 5 as a whole.

The control unit 10 determines the construction period of the determined maintenance work, the number of workers, and the replacement items or items including tools necessary for the maintenance work (step S203). In step S203, the control unit 10 may determine based on a table as described above, or may determine based on machine learning.

The control unit 10 creates estimate data based on the determined construction period, number of workers, and necessary items (step S204). The storage unit 11 stores the construction period for creating the estimate data, the unit price for the worker, the amount of work, and the cost of necessary goods. The control unit 10 refers to this and automatically creates estimate data. The unit price may be changed depending on the skill of the worker.

The control unit 10 notifies the sales person of the target power storage device 5 of the created quotation data or an implementation approval request including a link to the data (step S205).

The maintenance terminal device 2 used by the sales person receives a maintenance work implementation approval request (step S301). The sales person submits an estimate to the customer based on the estimate data included in the received implementation approval request, and receives approval to perform the maintenance work. If approval is received, the control unit 20 of the maintenance terminal device 2 receives the approval operation according to the operation of the operation unit 25 (step S302). The control unit 20 receives, through the operation unit 25, an input of a schedule candidate based on an agreement with the customer as well as an approval operation (step S303). The control unit 20 transmits the received implementation approval and schedule candidate to the maintenance support device 1 (step S304).

The maintenance support device 1 receives implementation approval and schedule candidates from the maintenance terminal device 2 (step S206). The control unit 10 determines the maintenance work worker and implementation date and time based on the schedule received in step S206, the operation information of the power storage device 5 based on the customer data management system 400, the maintenance work worker list, and the schedule data of each worker. is determined (step S207). In step S207, the control unit 10 may decide the implementation date and time depending on the urgency. In step S207, the control unit 10 receives approval from the operation information and the customer to continue operation of the power storage device 5 as a whole using other power storage element groups excluding the power storage element group including the different power storage element 50. Workers and implementation dates and times can be determined based on the schedule.

The control unit 10 notifies the determined worker of the determined implementation date and time, necessary items, and work content (step S208). The control unit 10 orders the necessary items (step S209), notifies the worker of the ordering information (step S210), and ends the process. The order information in step S209 may be registered as customer assets in the customer data management system 400.

In this way, the content of maintenance work to prevent trouble is determined and an estimate is prepared at the stage of the sign of an abnormality that is difficult for humans to detect. Therefore, the burden on maintenance workers is reduced.

The embodiments disclosed above are illustrative in all respects and are not restrictive. The scope of the present invention is indicated by the claims, and includes all changes within the meaning and range equivalent to the claims.

100 Maintenance support system 1 Maintenance support device 10 Control unit 11 Storage unit 1P Maintenance support program 2 Maintenance terminal device 20 Control unit 21 Storage unit 2P Maintenance terminal program 300 Remote monitoring system 3M Judgment model 32M Image judgment model 400 Customer data management system 6 Maintenance communication equipment

The present invention relates to a maintenance terminal device, a maintenance support method, a maintenance support system, a maintenance support device, and a computer program that support maintenance management work of power storage elements.

An object of the present invention is to provide a maintenance terminal device, a maintenance support method, a maintenance support system, a maintenance support device, and a computer program for stably operating a system including a power storage element.

Claims (13)

Detecting a sign of abnormality in the power storage element based on measurement data regarding the power storage element sequentially stored in a storage device,
determining at least one of the construction period and number of workers for maintenance work corresponding to the detected sign of abnormality, and the replacement items or items including tools necessary for the maintenance work;
A maintenance support method that notifies the operator of the maintenance work of decisions and implementation of the corresponding maintenance work. The power storage element is configured to include a plurality of power storage elements,
Detection of the sign of abnormality is performed for each of the plurality of power storage elements or a group,
The maintenance support according to claim 1, which determines the construction period, the number of workers or materials, the workers, and the implementation date and time for the energy storage element or energy storage element group in which a sign has been detected so that the operation of other energy storage elements can be continued. Method. When measurement data measured for each energy storage element or for each energy storage element group including a plurality of energy storage elements is input, whether or not the measurement data includes measurement data of a different energy storage element is input. Using a decision model trained to output the corresponding score,
If it is determined that measurement data of a heterogeneous power storage element is included based on the score output by the determination model, determine the heterogeneity,
The maintenance support method according to claim 1 or 2, wherein a sign of abnormality in the power storage element is detected based on the determined heterogeneity. creating a time distribution of scores output from the determination model according to input of measurement data of the power storage element group;
The maintenance support method according to claim 3, wherein urgency is distinguished and heterogeneity is determined based on the created time distribution. When an image of the created time distribution is input, it corresponds to whether the measurement data of a power storage element or a power storage element group corresponding to the time distribution includes measurement data of a different power storage element. Using an image judgment model that has been trained to output a score that
converting the created time distribution into an image and inputting it into the image judgment model;
The maintenance support method according to claim 4, wherein the heterogeneity of the power storage element group is determined based on the score output from the image determination model. determining the worker and implementation date and time of the maintenance work based on a list of workers who can perform the maintenance work and schedule data of each of the workers;
The maintenance support method according to any one of claims 1 to 5, further comprising notifying the determined operator of the maintenance work. receiving approval for implementation of the maintenance work from the owner of the energy storage element;
The maintenance support method according to any one of claims 1 to 6, wherein execution of the maintenance work is notified when the implementation approval is accepted. 8. The maintenance support method according to claim 7, wherein when the implementation approval is accepted, an implementation date and time is determined based on device operation information obtained from the owner. If the implementation approval is received, order the items necessary for the maintenance work from the seller of the items,
The maintenance support method according to claim 7 or 8, further comprising notifying the worker of identification data of the ordered item. Create estimate data for the maintenance work based on the determined construction period, number of workers, and necessary supplies,
The maintenance support method according to any one of claims 7 to 9, wherein the implementation approval is accepted based on the estimate data. A storage device that periodically acquires and sequentially stores measurement data regarding power storage elements, a maintenance terminal device that can be connected to the storage device, and a maintenance support device that can be communicatively connected to the maintenance terminal device,
The maintenance support device includes:
When an abnormality or a sign of an abnormality in the power storage element is detected based on measurement data regarding the power storage element, the maintenance work period, number of workers, and necessary for the maintenance work related to the detected abnormality or sign of abnormality. determining at least one of replacement items or items including tools;
A maintenance support system that transmits implementation instructions including decisions to the maintenance worker. If a sign of an abnormality in the power storage element is detected based on measurement data regarding the power storage element that is sequentially stored in a storage device in association with identification data for identifying the power storage element, maintenance regarding the detected sign of abnormality is performed. a determining unit that determines at least one of the work period, the number of workers, and items including replacement items or tools necessary for the maintenance work;
and a transmitting unit that transmits implementation instructions including decisions to the maintenance worker. to the computer,
Detecting a sign of abnormality in the power storage element based on measurement data regarding the power storage element that is sequentially stored in a storage device in association with identification data for identifying the power storage element,
determining at least one of the construction period and number of workers for maintenance work corresponding to the detected sign of abnormality, and the replacement items or items including tools necessary for the maintenance work;
A computer program that executes a process of notifying the maintenance worker of the decision and the implementation of the corresponding maintenance work.

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