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CN116795650B - Method, system and equipment for monitoring running state of energy storage system - Google Patents

Method, system and equipment for monitoring running state of energy storage system Download PDF

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Publication number
CN116795650B
CN116795650B CN202310792902.2A CN202310792902A CN116795650B CN 116795650 B CN116795650 B CN 116795650B CN 202310792902 A CN202310792902 A CN 202310792902A CN 116795650 B CN116795650 B CN 116795650B
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data
state
data object
linked list
threshold value
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CN116795650A (en
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容海林
邓荣钦
袁虎
庞美金
廖鑫航
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Zhejiang Haide Smart Energy Co ltd
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Zhejiang Haide Smart Energy Co ltd
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Abstract

The present disclosure relates to a method, a system and a device for monitoring an operation state of an energy storage system, wherein the method comprises the following steps: obtaining extremum data in a monitoring period of the energy storage system, and defining each extremum data as a data object; establishing a two-way linked list, and presetting a state threshold value related to a data value; comparing the data value of the data object with the corresponding state threshold value, if the data value reaches the preset state threshold value, entering the next step, otherwise, grabbing the next data object and repeating the step; searching whether the data object exists in the doubly linked list, if so, adding the count of the occurrence times of the state of the data object to update the doubly linked list, otherwise, inserting the data object into the doubly linked list; and repeating the comparison step until all the data objects are polled. The method and the device can effectively reduce the processing data volume of operation and maintenance personnel, intuitively reflect the operation trend of each single battery, reduce the workload of the operation and maintenance personnel and are beneficial to the monitoring of the energy storage system.

Description

Method, system and equipment for monitoring running state of energy storage system
Technical Field
The disclosure relates to the technical field of energy storage system monitoring, in particular to an energy storage system running state monitoring method, system and equipment.
Background
The chemical energy storage system comprises a plurality of battery cells which are connected in series and in parallel to form a battery module, then a plurality of battery modules are connected in series to form a battery cluster, and then a plurality of battery clusters form a battery stack, so that each battery stack is internally provided with a plurality of battery cells, the normal operation of the energy storage system can be influenced by the abnormality of any battery cell, and the monitoring of the state of each battery cell is of great significance for the stable operation of the energy storage system.
In the existing monitoring process of the energy storage system, the bus voltage, the bus current, the single maximum voltage value, the single maximum temperature value, the single minimum voltage value, the single minimum temperature value and the like are monitored in a key mode, the parameters are variable in the actual operation process of the energy storage system, analysis of the system operation trend is focused in the monitoring process, if the voltage of a certain battery cell frequently reaches the single maximum voltage value in the system charging process and the single minimum voltage value is frequently reached in the discharging process, it is judged that the short-circuit trend of the single battery cell possibly exists, and maintenance is needed.
In the prior art, the parameters are usually displayed in real time, an operation and maintenance person needs to check the historical data of each single battery, and compare each historical data with the corresponding maximum threshold value and the corresponding minimum threshold value, and judge the operation trend of each single battery according to the numerical comparison result.
Disclosure of Invention
In order to solve the problems in the prior art, the disclosure aims to provide a method, a system and a device for monitoring the operation state of an energy storage system. According to the method and the device, the doubly linked list can be updated according to the threshold comparison result, the monitoring result is presented to the operation and maintenance personnel through the doubly linked list, the operation trend of the energy storage system can be reflected, the processing data quantity of the operation and maintenance personnel can be effectively reduced, the operation trend of each single battery can be intuitively reflected, the workload of the operation and maintenance personnel is reduced, and the monitoring of the energy storage system is facilitated.
The method for monitoring the running state of the energy storage system comprises the following steps:
s01, obtaining extreme value data in a monitoring period of the energy storage system, defining each extreme value data as a data object, wherein the data object has data attributes, and the data attributes at least comprise a data unique identifier, a data value, a data state and state occurrence times;
S02, establishing a bidirectional linked list, and presetting a state threshold value related to a data value;
S03, comparing the data value of the data object with a corresponding state threshold value, entering the next step if the data value reaches the preset state threshold value, otherwise, grabbing the next data object and repeating the step;
S04, searching whether the data object exists in the doubly linked list, if yes, adding the state occurrence count of the data object to the doubly linked list to update the doubly linked list, otherwise, inserting the data object into the doubly linked list;
S05, repeating the steps S03 and S04 until all the data objects are polled.
Preferably, the data attributes further include data name, data type and frequency of occurrence of status.
Preferably, in step S04, the data object is searched by the data unique identifier, and the data unique identifier is a data ID.
Preferably, in step S05, an alarm threshold value related to the number of occurrence times or the frequency of occurrence of the state is preset, and when the number of occurrence times or the frequency of occurrence of the state of the data object reaches the alarm threshold value, an alarm signal is sent out.
Preferably, in step S05, when any data attribute of any data object changes, the doubly linked list is updated and published to the user terminal.
Preferably, in step S05, the user terminal subscribes to a part of the data objects in the pre-subscription, selects the pre-subscribed part of the data objects in the doubly linked list, and publishes the pre-subscribed part of the data objects to the user terminal.
Preferably, the doubly linked list is issued to the user terminal through the MQTT.
An energy storage system operation state monitoring system of the present disclosure includes:
The system comprises a data object definition module, a data object generation module and a data storage module, wherein the data object definition module is used for acquiring extremum data in a monitoring period of the energy storage system, defining a data object for each extremum data, and the data object is provided with a data attribute, and the data attribute at least comprises a data unique identifier, a data value, a data state and a state occurrence number;
The linked list construction module is used for establishing a bidirectional linked list and presetting a state threshold value related to a data value;
The selection comparison module is used for comparing the data value of the data object with the corresponding state threshold value in a numerical mode;
If the state threshold value reaches the preset state threshold value, searching whether the data object exists in the doubly linked list, if so, adding the state occurrence count of the data object to the doubly linked list to update the doubly linked list, otherwise, inserting the data object into the doubly linked list;
If the preset state threshold is not reached, the next data object is grabbed, and numerical comparison is repeated until all the data objects are polled.
A computer device of the present disclosure includes a processor and a memory in signal connection, where the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program performs the energy storage system operation state monitoring method as described above when loaded by the processor.
A computer readable storage medium of the present disclosure has stored thereon at least one instruction or at least one program which, when loaded by a processor, performs the energy storage system operating state monitoring method as described above.
The method, the system and the equipment for monitoring the running state of the energy storage system have the advantages that:
1. According to the method, the extremum data of the energy storage system are compared with the preset state threshold value, the bidirectional linked list is updated according to the comparison result, the monitoring result is presented to the operation and maintenance personnel through the bidirectional linked list, the operation trend of the energy storage system can be reflected, the processing data quantity of the operation and maintenance personnel can be effectively reduced, the operation trend of each single battery can be intuitively reflected, the workload of the operation and maintenance personnel is reduced, and the monitoring of the energy storage system is facilitated;
2. The method has two data release modes of updating release and subscribing release, can push monitoring information to operation and maintenance personnel in real time, can be flexibly selected according to actual requirements, and meanwhile, can be compatible with a plurality of different terminals by adopting the release mode of the MQTT, and has good universality.
Drawings
FIG. 1 is a flow chart of steps of a method for monitoring an operating state of an energy storage system according to the present disclosure;
fig. 2 is a schematic structural diagram of the computer device according to the present embodiment.
Reference numerals illustrate: 101-processor, 102-memory.
Detailed Description
As shown in fig. 1, a method for monitoring an operation state of an energy storage system according to the present disclosure includes the following steps:
s01, extreme value data in a monitoring period of the energy storage system is obtained, and particularly, extreme value data of monitoring statistics during normal operation of the energy storage system, such as maximum voltage of a single body, minimum voltage of the single body, maximum temperature of the single body, minimum temperature of the single body, maximum current of a battery cluster, maximum voltage of the battery cluster, minimum current of the battery cluster, minimum voltage of the battery cluster and the like, can be directly obtained.
Each extremum data is defined abstractly as a data object, each data object containing the following data attributes:
the unique data identifier, such as data ID, is a unique number or letter number, and is used to distinguish each extremum data.
Data names facilitate the distribution of data via MQTT (Message Queuing Telemetry Transport, message queue telemetry transport).
The data type, such as the data belonging to current, temperature or voltage, etc., is classified.
Data value, extremum data specific numerical value size.
And recording the data state, namely, the state corresponding to the triggering of the data when the data occurs, such as alarm, protection and the like.
The number of state occurrences, the number of data state occurrences, such as the number of times the data reaches the corresponding state threshold in a monitoring period.
The frequency of occurrence of states, the frequency of occurrence of the data state within a monitoring period, is equal to the number of state occurrences divided by the monitoring period.
S02, establishing a bidirectional linked list, and presetting a state threshold value related to a data value;
Specifically, statistical analysis is performed on each extremum data by using a doubly linked list, for example, for a single maximum voltage, a protection threshold value about the single maximum voltage is preset according to parameters of the single battery and safety requirements of an energy storage system, and the protection threshold value is a state threshold value.
S03, comparing the data value of the data object with the corresponding state threshold value, judging whether the data value reaches the preset state threshold value, if so, entering the next step, otherwise, grabbing the next data object and repeating the step.
S04, if the data value reaches a preset state threshold, searching whether the data object exists in the doubly linked list, specifically searching and searching through a unique identifier of the data object, if the data object exists in the doubly linked list, adding the state occurrence count of the data object to the doubly linked list, updating the doubly linked list, and further calculating the state occurrence frequency on the basis of the updated state occurrence count for the data object with the configured state occurrence frequency.
If the data object does not exist, the data object and the data attribute of the data object are inserted into the tail of the doubly linked list.
S05, repeating the steps S03 and S04 until all the data objects are polled, wherein the obtained doubly linked list is a monitoring result obtained after the statistical analysis of the extreme value data.
The method comprises the steps of obtaining the single maximum voltage value of each single battery, namely the extreme value data, defining the single maximum voltage value of each single battery as a data object, wherein the data object has a data attribute, and the data attribute comprises data unique identifiers, such as 01, 02 and 03, and meanwhile, has information such as data values, data states, state occurrence times and the like.
Establishing a bidirectional linked list, and presetting a protection threshold value about the maximum voltage of the single battery according to parameters of the single battery and safety requirements of an energy storage system, wherein the protection threshold value is a state threshold value.
And according to the sequence of the unique data identification, each extremum data is grabbed one by one to carry out numerical comparison judgment with the state threshold value, when the extremum data does not reach the state threshold value, the single battery is in a normal working state, and the next extremum data can be continuously judged by skipping the extremum data without paying attention to the extremum data.
When the extremum data reach the state threshold value, the single battery is indicated to trigger the corresponding state, such as alarm or protection state, at the moment, whether the data object exists in the data link list is searched, if yes, the state occurrence times of the data object are added together to update the doubly-linked list, and otherwise, the data object is inserted into the doubly-linked list.
And repeating the steps until all the data objects are polled, screening all the data points reaching the state threshold value in one monitoring period, and counting the times of each data point reaching the state threshold value at the same time so as to realize effective monitoring of each single battery and facilitate quick screening and finding out the battery possibly having a short plate trend.
Furthermore, the warning threshold value related to the occurrence times or the occurrence frequency of the states can be preset, when the occurrence times or the occurrence frequency of the states of the data object reach the warning threshold value, a warning signal can be sent out timely, and in the charging and discharging process, when a certain battery cell frequently reaches the preset state threshold value, a warning can be sent out timely, so that operation and maintenance personnel are prompted to pay attention to the battery cell, and maintenance is performed timely.
Furthermore, for the obtained data linked list, the obtained data linked list can be published to the user terminal of the operation and maintenance personnel in two modes of update publication or subscription publication, wherein the update publication is specifically as follows:
When any data attribute of any data object changes, the doubly linked list is updated and issued to the user side, so that an operation and maintenance person can observe the attribute change of the data object in real time.
The subscription and release are specifically as follows:
The user terminal subscribes part of the data objects in the user terminal in advance, selects the pre-subscribed part of the data objects in the doubly linked list and publishes the pre-subscribed part of the data objects to the user terminal.
The subscription and release can select key data objects of interest of operation and maintenance personnel, after the bidirectional linked list is updated in a polling way, partial data objects subscribed in advance in the bidirectional linked list are selected and released to a user side, and the key data can be selected and displayed according to the requirements of the operation and maintenance personnel.
Furthermore, the bidirectional linked list is issued to the user terminal through the MQTT, and the MQTT can access the energy storage system to the Internet of things for communication and can be compatible with various user terminals.
According to the method, the extremum data of the energy storage system are compared with the preset state threshold value, the bidirectional linked list is updated according to the comparison result, the monitoring result is presented to the operation and maintenance personnel through the bidirectional linked list, the operation trend of the energy storage system can be reflected, the processing data quantity of the operation and maintenance personnel can be effectively reduced, the operation trend of each single battery can be intuitively reflected, the workload of the operation and maintenance personnel is reduced, and the monitoring of the energy storage system is facilitated;
The method has two data release modes of updating release and subscribing release, can push monitoring information to operation and maintenance personnel in real time, can be flexibly selected according to actual requirements, and meanwhile, can be compatible with a plurality of different terminals by adopting the release mode of the MQTT, and has good universality.
The embodiment also provides an energy storage system operation state monitoring system, which comprises:
The system comprises a data object definition module, a data object generation module and a data storage module, wherein the data object definition module is used for acquiring extremum data in a monitoring period of the energy storage system, defining a data object for each extremum data, and the data object is provided with a data attribute, and the data attribute at least comprises a data unique identifier, a data value, a data state and a state occurrence number;
The linked list construction module is used for establishing a bidirectional linked list and presetting a state threshold value related to a data value;
The selection comparison module is used for comparing the data value of the data object with the corresponding state threshold value in a numerical mode;
If the state threshold value reaches the preset state threshold value, searching whether the data object exists in the doubly linked list, if so, adding the state occurrence count of the data object to the doubly linked list to update the doubly linked list, otherwise, inserting the data object into the doubly linked list;
If the preset state threshold is not reached, the next data object is grabbed, and numerical comparison is repeated until all the data objects are polled.
The operation state monitoring system of the energy storage system in this embodiment and the operation state monitoring method of the energy storage system belong to the same inventive concept, and can be understood with reference to the above description, and are not repeated here.
As shown in fig. 2, this embodiment further provides a computer device, which includes a processor 101 and a memory 102 connected by a bus signal, where at least one instruction or at least one program is stored in the memory 102, and the at least one instruction or the at least one program performs the method for monitoring the operation state of the energy storage system as described above when the at least one instruction or the at least one program is loaded by the processor 101. The memory 102 may be used to store software programs and modules, and the processor 101 executes various functional applications by running the software programs and modules stored in the memory 102. The memory 102 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, application programs required for functions, and the like; the storage data area may store data created according to the use of the device, etc. In addition, memory 102 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 102 may also include a memory controller to provide access to the memory 102 by the processor 101.
The method embodiments provided by the embodiments of the present disclosure may be performed in a computer terminal, a server, or a similar computing device, i.e., the above-described computer apparatus may include a computer terminal, a server, or a similar computing device. The internal structure of the computer device may include, but is not limited to: processor, network interface and memory. Wherein the processor, network interface, and memory within the computer device may be connected by a bus or other means.
The processor 101 (or CPU) is a computing core and a control core of a computer device. The network interface may optionally include a standard wired interface, a wireless interface (e.g., WI-FI, mobile communication interface, etc.). Memory 102 (Memory) is a Memory device in a computer device for storing programs and data. It is understood that the memory 102 herein may be a high-speed RAM memory device or a non-volatile memory device (non-volatile memory), such as at least one magnetic disk memory device; optionally, at least one memory device located remotely from the aforementioned processor 101. The memory 102 provides storage space that stores an operating system of the electronic device, which may include, but is not limited to: windows (an operating system), linux (an operating system), android (an Android, a mobile operating system) system, IOS (a mobile operating system) system, etc., which are not limiting of the present disclosure; also stored in this memory space are one or more instructions, which may be one or more computer programs (including program code), adapted to be loaded and executed by the processor 101. In the embodiment of the present disclosure, the processor 101 loads and executes one or more instructions stored in the memory 102 to implement the method for monitoring the operation state of the energy storage system according to the above embodiment of the method.
Embodiments of the present disclosure also provide a computer readable storage medium having stored thereon at least one instruction or at least one program that when loaded by the processor 101 performs the energy storage system operating condition monitoring method as described above. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples may include, but are not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
In the description of the present disclosure, it should be understood that the azimuth or positional relationships indicated by the azimuth terms such as "front, rear, upper, lower, left, right", "lateral, vertical, horizontal", and "top, bottom", etc., are generally based on the azimuth or positional relationships shown in the drawings, merely to facilitate description of the present disclosure and simplify the description, and without being otherwise described, these azimuth terms do not indicate and imply that the apparatus or elements referred to must have a specific azimuth or be configured and operated in a specific azimuth, and thus should not be construed as limiting the scope of protection of the present disclosure.
It will be apparent to those skilled in the art from this disclosure that various other changes and modifications can be made which are within the scope of the invention as defined in the claims.

Claims (8)

1. The method for monitoring the operation state of the energy storage system is characterized by comprising the following steps of:
s01, obtaining extreme value data in a monitoring period of the energy storage system, defining each extreme value data as a data object, wherein the data object has data attributes, and the data attributes at least comprise a data unique identifier, a data value, a data state and state occurrence times;
S02, establishing a bidirectional linked list, and presetting a state threshold value related to a data value;
S03, comparing the data value of the data object with a corresponding state threshold value, entering the next step if the data value reaches the preset state threshold value, otherwise, grabbing the next data object and repeating the step;
S04, searching whether the data object exists in the doubly linked list, if yes, adding the state occurrence count of the data object to the doubly linked list to update the doubly linked list, otherwise, inserting the data object into the doubly linked list;
S05, repeating the steps S03 and S04 until all the data objects are polled;
The data attributes further comprise data names, data types and state occurrence frequencies;
in step S05, an alarm threshold value related to the occurrence number or the occurrence frequency of the state is preset, and when the occurrence number or the occurrence frequency of the state of the data object reaches the alarm threshold value, an alarm signal is sent out.
2. The method according to claim 1, wherein in step S04, the data object is searched by the data unique identifier, and the data unique identifier is a data ID.
3. The method according to claim 1, wherein in step S05, when any data attribute of any data object changes, the doubly linked list is updated and issued to the client.
4. The method for monitoring an operation state of an energy storage system according to claim 1, wherein in step S05, a user terminal subscribes to a part of data objects in the data objects in advance, selects the part of the data objects subscribed in advance in the doubly linked list, and publishes the selected data objects to the user terminal.
5. The method for monitoring an operation state of an energy storage system according to claim 3 or 4, wherein the doubly linked list is issued to the user terminal through an MQTT.
6. An energy storage system operating condition monitoring system, comprising:
The system comprises a data object definition module, a data object generation module and a data storage module, wherein the data object definition module is used for acquiring extremum data in a monitoring period of the energy storage system, defining a data object for each extremum data, and the data object is provided with a data attribute, and the data attribute at least comprises a data unique identifier, a data value, a data state and a state occurrence number;
The linked list construction module is used for establishing a bidirectional linked list and presetting a state threshold value related to a data value;
The selection comparison module is used for comparing the data value of the data object with the corresponding state threshold value in a numerical mode;
If the state threshold value reaches the preset state threshold value, searching whether the data object exists in the doubly linked list, if so, adding the state occurrence count of the data object to the doubly linked list to update the doubly linked list, otherwise, inserting the data object into the doubly linked list;
If the state threshold value does not reach the preset state threshold value, grabbing the next data object and repeatedly comparing the values until all the data objects are polled;
The data attributes further comprise data names, data types and state occurrence frequencies;
an alarm threshold value related to the occurrence times or the occurrence frequency of the states is preset, and an alarm signal is sent out when the occurrence times or the occurrence frequency of the states of the data object reach the alarm threshold value.
7. A computer device comprising a processor and a memory in signal connection, wherein the memory has stored therein at least one instruction or at least one program, which when loaded by the processor performs the energy storage system operation state monitoring method according to any of claims 1-5.
8. A computer readable storage medium having stored thereon at least one instruction or at least one program, wherein the at least one instruction or the at least one program when loaded by a processor performs the energy storage system operating condition monitoring method according to any one of claims 1-5.
CN202310792902.2A 2023-06-29 2023-06-29 Method, system and equipment for monitoring running state of energy storage system Active CN116795650B (en)

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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102411599A (en) * 2011-08-01 2012-04-11 中国民生银行股份有限公司 Processing method of abnormal behaviors in data warehouse and monitoring server
CN104572460A (en) * 2014-12-30 2015-04-29 大唐移动通信设备有限公司 Memory leak detecting method and memory leak detecting device
CN105607983A (en) * 2015-11-09 2016-05-25 北京京东尚科信息技术有限公司 Data exception monitoring method and apparatus
CN111897701A (en) * 2020-07-15 2020-11-06 中国工商银行股份有限公司 Alarm processing method, device, computer system and medium for application
CN112685277A (en) * 2020-12-31 2021-04-20 海光信息技术股份有限公司 Warning information checking method and device, electronic equipment and readable storage medium
CN113377682A (en) * 2021-07-29 2021-09-10 中国工商银行股份有限公司 Service testing method and device
CN114090369A (en) * 2021-10-28 2022-02-25 青岛海尔科技有限公司 Service instance monitoring method, device and storage medium
CN114328132A (en) * 2022-03-15 2022-04-12 北京百度网讯科技有限公司 Method, device, equipment and medium for monitoring state of external data source
CN114328102A (en) * 2021-12-24 2022-04-12 浪潮(北京)电子信息产业有限公司 Equipment state monitoring method, device, equipment and computer readable storage medium
CN116008834A (en) * 2023-01-03 2023-04-25 中国电力科学研究院有限公司 Battery monitoring operation and maintenance method, system, equipment and medium of mobile energy storage system

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8060851B2 (en) * 2006-10-13 2011-11-15 Verigy (Singapore) Pte. Ltd. Method for operating a secure semiconductor IP server to support failure analysis
US10831670B2 (en) * 2017-11-22 2020-11-10 Blackberry Limited Method and system for low latency data management

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102411599A (en) * 2011-08-01 2012-04-11 中国民生银行股份有限公司 Processing method of abnormal behaviors in data warehouse and monitoring server
CN104572460A (en) * 2014-12-30 2015-04-29 大唐移动通信设备有限公司 Memory leak detecting method and memory leak detecting device
CN105607983A (en) * 2015-11-09 2016-05-25 北京京东尚科信息技术有限公司 Data exception monitoring method and apparatus
CN111897701A (en) * 2020-07-15 2020-11-06 中国工商银行股份有限公司 Alarm processing method, device, computer system and medium for application
CN112685277A (en) * 2020-12-31 2021-04-20 海光信息技术股份有限公司 Warning information checking method and device, electronic equipment and readable storage medium
CN113377682A (en) * 2021-07-29 2021-09-10 中国工商银行股份有限公司 Service testing method and device
CN114090369A (en) * 2021-10-28 2022-02-25 青岛海尔科技有限公司 Service instance monitoring method, device and storage medium
CN114328102A (en) * 2021-12-24 2022-04-12 浪潮(北京)电子信息产业有限公司 Equipment state monitoring method, device, equipment and computer readable storage medium
CN114328132A (en) * 2022-03-15 2022-04-12 北京百度网讯科技有限公司 Method, device, equipment and medium for monitoring state of external data source
CN116008834A (en) * 2023-01-03 2023-04-25 中国电力科学研究院有限公司 Battery monitoring operation and maintenance method, system, equipment and medium of mobile energy storage system

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