CN115310833B - Electrochemical energy storage container accident analysis method and device - Google Patents
Electrochemical energy storage container accident analysis method and device Download PDFInfo
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Abstract
The application provides an electrochemical energy storage container accident analysis method and device. The accident analysis method of the electrochemical energy storage container comprises the following steps: determining an operation control logic of the electrochemical container based on the device within the electrochemical container; determining an association between monitored parameters of devices within the electrochemical container; establishing a data coupling model based on the operation control logic and the association relation; acquiring monitoring data of each device; and when the accident happens, sequencing the responsibility of the accident-related equipment based on the monitoring data and the data coupling model of each equipment in the electrochemical container. The application solves the problem that the electrochemical energy storage container cannot judge the accident responsibility when the accident happens by combining with the internal structure of the electrochemical energy storage container, and provides reference and basis for judging the responsibility of the frequent accidents such as fire, explosion and the like of the electrochemical energy storage container.
Description
Technical Field
The embodiment of the application relates to the field of electrochemical energy storage, in particular to an electrochemical energy storage container accident analysis method and device.
Background
Electrochemical energy storage is one of the main energy storage forms of the current and future important development, however, due to the fact that the related technical details of the electrochemical energy storage are not completely mastered, the characteristics of different batteries are inconsistent, the control of an energy storage station is improper and other factors, the current electrochemical energy storage still has a large accident risk, and particularly in an electrochemical energy storage system taking a container as an independent unit, serious accidents such as fire and explosion occur more recently, so that huge losses are caused.
After an accident occurs in an electrochemical energy storage container, due to the custody of data and the policy and standard of accident judgment not established in advance, responsibility attribution is often difficult to divide, and each actual operation index and parameters of the electrochemical energy storage container before and after the accident cannot be clearly known.
Disclosure of Invention
The application provides an electrochemical energy storage container accident analysis method and device for solving the problem that an electrochemical energy storage container cannot judge accident responsibility when an accident happens.
In a first aspect, the present application provides a method for accident analysis of an electrochemical energy storage container, applied to a black box disposed inside the electrochemical energy storage container, the method comprising:
determining an operation control logic of the electrochemical container based on the device within the electrochemical container;
determining an association between monitored parameters of devices within the electrochemical container;
establishing a data coupling model based on the operation control logic and the association relation;
acquiring monitoring data of each device;
and when the accident happens, sequencing the responsibility of the accident-related equipment based on the monitoring data and the data coupling model of each equipment in the electrochemical container.
According to the application, the internal constitution of the electrochemical energy storage container is combined, a data coupling model is established according to the relation between the monitoring parameters and each accident under different working conditions, and the responsibility of the accident association equipment is determined through the monitoring data and the data coupling model of the equipment in the electrochemical energy storage container, so that the problem that the accident responsibility of the electrochemical energy storage container cannot be judged when the accident happens is solved, and references and bases are provided for the responsibility judgment of frequent accidents such as fire and explosion of the electrochemical energy storage container.
With reference to the first aspect, in a first embodiment of the first aspect, establishing a data coupling model based on the operation control logic and the association relation includes:
determining a safety threshold and an association weight between each monitoring parameter and each accident according to the operation control logic and the association relation;
a data coupling model is established based on the security threshold and the associated weights.
With reference to the first embodiment of the first aspect, in a second embodiment of the first aspect, the ranking of responsibility of the accident-related device based on the monitored data and the data coupling model of each device within the electrochemical container includes:
determining a monitoring parameter associated with the accident, and an association weight and a safety threshold corresponding to each monitoring parameter;
determining the size and the number of times that the monitoring data corresponding to the monitoring parameters exceeds the corresponding safety threshold value;
and sorting the responsibility of the accident-related equipment based on the corresponding association weight, the size and the number of times exceeding the corresponding safety threshold.
With reference to the first embodiment of the first aspect, in a third embodiment of the first aspect, when the monitored data exceeds the corresponding safety threshold, a hidden danger alarm is sent out, and an alarm level of the hidden danger alarm is determined according to the magnitude that the monitored data exceeds the corresponding safety threshold.
Through the embodiment, when the monitored data exceeds the preset safety threshold, the potential safety hazard alarm is triggered according to the range exceeding the safety threshold. And the monitoring data is subjected to real-time dynamic hidden danger analysis and judgment, so that the normal operation of the electrochemical energy storage container is ensured, and the probability of accidents is reduced.
With reference to the third embodiment of the first aspect, in a fourth embodiment of the first aspect, the monitoring data, the accident event log, and the hidden danger alarm log are stored in a local storage space.
With reference to the fourth embodiment of the first aspect, in a fifth embodiment of the first aspect, when the local storage space is full, the monitoring data, the accident event log, and the hidden danger alarm log are uploaded to the cloud server.
Through the embodiment, the characteristic of large system data volume in the container is considered, the mobile network connection module is set up, and when the local storage is full, the local data is automatically synchronized to the cloud server for remote backup storage, so that the data safety is ensured.
With reference to the first aspect, in a sixth embodiment of the first aspect, operation data of the black box is obtained, where the operation data of the black box characterizes an operation state of the black box;
and when the operation data of the black box reaches a preset limit, performing cooling protection on the black box.
Through the embodiment, the accident characteristics and the environmental characteristics of the electrochemical energy storage container are considered, the protection of the black box and the design of the fire protection cooling device are carried out, and the safety of the black box is ensured.
In a second aspect, the present application provides an electrochemical energy storage container accident analysis apparatus for use with a black box disposed within an electrochemical energy storage container, the apparatus comprising:
a first determination module for determining an operation control logic of the electrochemical container based on the device within the electrochemical container;
a second determining module for determining a correlation between monitored parameters of the devices within the electrochemical container;
the building module is used for building a data coupling model based on the operation control logic and the association relation;
the sequencing module is used for acquiring monitoring data of each device;
and the judging module is used for sequencing the responsibility of the accident-related equipment based on the monitoring data and the data coupling model of each equipment in the electrochemical container when the accident occurs.
By combining the internal components of the electrochemical energy storage container, the device establishes a data coupling model according to the relation between the monitoring parameters and each accident under different working conditions, and the device determines responsibility of accident-related equipment through the monitoring data and the data coupling model of the device in the electrochemical energy storage container, thereby solving the problem that the responsibility of the accident can not be judged when the accident happens, and providing reference and basis for judging the responsibility of the frequent accidents such as fire and explosion of the electrochemical energy storage container.
In a third aspect, the present application also provides a computer device comprising a memory and a processor, the memory and the processor being in communication with each other, the memory having stored therein computer instructions, the processor executing the steps of the electrochemical energy storage container incident analysis method of the first aspect or any of the embodiments of the first aspect by executing the computer instructions.
In a fourth aspect, the present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the electrochemical energy storage container incident analysis method of the first aspect or any embodiment of the first aspect.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present application, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method of electrochemical energy storage container incident analysis according to an exemplary embodiment;
FIG. 2 is a diagram of the main components of a black box within an electrochemical energy storage container in accordance with an exemplary embodiment;
FIG. 3 is an illustration of the core function of a black box within an electrochemical energy storage container in accordance with an exemplary embodiment;
FIG. 4 is a graph of black box acquisition data types within an electrochemical energy storage container in accordance with an exemplary embodiment;
FIG. 5 is a schematic structural view of an electrochemical energy storage container incident analysis device according to an exemplary embodiment;
fig. 6 is a schematic diagram of a hardware structure of a computer device according to an exemplary embodiment.
Detailed Description
The following description of the embodiments of the present application will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the application are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In addition, the technical features of the different embodiments of the present application described below may be combined with each other as long as they do not collide with each other.
Currently, there is no black box for electrochemical energy storage container systems for data storage and accident determination and analysis. At present, a black box related to energy storage is mainly used for monitoring and independently storing single-cell data of an energy storage battery, and the mode can be used for recording the running state of a single battery in detail, but the accident cause of an electrochemical energy storage container is always on a system level, and the accident cause can be judged by carrying out coupling analysis on various equipment and various parameter indexes of the system, and only recording the data of the battery can not support system-level analysis and accident responsibility judgment after the accident occurs to the system.
The current electrochemical energy storage power stations are mainly controlled by taking an energy storage container as a minimum energy storage unit for independent charge and discharge, and most electrochemical energy storage power stations take an energy storage container system as a main part in case of fire and explosion, so that the problems that accident causes cannot be traced, data are lost, data are easy to tamper and the like exist, and the defect that accidents have no legal responsibility exists.
Therefore, how to develop a black box specially used in an electrochemical energy storage container by utilizing software and hardware technical means, record system-level data, and make accident analysis and judgment strategies in the black box in advance according to system characteristics, and realize periodic permanent storage of data and storage of information and internal data coupling analysis on the premise of ensuring that the data is not erased, tampered and deleted, and when a container system-level fire and explosion accident occurs, effective data can be extracted from the black box to learn accident reasons and responsibility judgment, so that the method is a key for promoting safety analysis in the energy storage field.
In order to solve the problems, the application provides an electrochemical energy storage container accident analysis method and device.
Fig. 1 is a flow chart of a method of electrochemical energy storage container incident analysis according to an exemplary embodiment. As shown in fig. 1, the electrochemical energy storage container accident analysis method includes the following steps S101 to S105.
In step S101, operation control logic of the electrochemical container is determined from the devices within the electrochemical container.
Specifically, determining the operation control logic of the electrochemical energy storage container refers to carding hardware equipment and software systems associated in the container according to the characteristics inside the electrochemical energy storage container, docking each sensor remote control point table, remote signaling point table and remote control point table related to the system, and determining various working conditions in the electrochemical energy storage container.
In step S102, an association between monitored parameters of devices within the electrochemical container is determined.
In an alternative embodiment, the monitoring parameters include, but are not limited to, data related to batteries, PCS, BMS, ventilation, fire protection, video monitoring, etc., and safety related monitoring parameters under different working conditions according to past engineering experience.
Specifically, the monitoring parameters of the devices of the electrochemical energy storage container are related to each other, for example, the monitoring parameter current 1 is the sum of the current 2 and the current 3, so that the devices corresponding to the current 1 and the devices corresponding to the current 2 and the devices corresponding to the current 3 are related to each other, and the related relationship between the devices needs to be considered when the accident responsibility is determined.
In step S103, a data coupling model is built based on the operation control logic and the association relationship.
In step S104, monitoring data of each device is acquired.
Specifically, the collection and storage frequency of the black box for each monitoring data can be determined according to the operation characteristics of the electrochemical container and the actual collection frequency of each sensor.
In step S105, when an incident occurs, the order of the magnitude of the responsibilities of the incident-associated devices is performed based on the monitored data and the data coupling model of each device within the electrochemical container.
Specifically, when an accident occurs, the method calculates according to the monitoring parameters such as the amplitude, the speed and the like of the change of the monitoring parameters related to the accident, so as to define the accident related equipment and the final responsible party.
According to the embodiment of the application, the internal structure of the electrochemical energy storage container is combined, a data coupling model is established according to the relation between the monitoring parameters and accidents under different working conditions, and the responsibility of the accident association equipment is determined through the monitoring data and the data coupling model of the equipment in the electrochemical energy storage container, so that the problem that the accident responsibility of the electrochemical energy storage container cannot be judged when the accident happens is solved, and references and bases are provided for judging the responsibility of frequent accidents such as fire and explosion of the electrochemical energy storage container.
In the embodiment of the application, the data coupling model and the algorithm are embedded into the black box by writing the data coupling model and the algorithm into a script.
In an example, the step S103 specifically includes the following steps:
firstly, according to the operation control logic and the association relation, a safety threshold value and an association weight between each monitoring parameter and each accident are determined.
In an alternative embodiment, the safety threshold and associated weights between each monitoring parameter and each incident are determined based on operating conditions, incident category, and engineering experience.
Second, a data coupling model is built based on the security threshold and the associated weights.
In yet another example, the step S105 specifically includes the steps of:
first, the monitoring parameters associated with the accident and the associated weights and the safety thresholds corresponding to the monitoring parameters are determined.
In an alternative embodiment, a data, equipment, manufacturer, associated data, associated equipment and information collecting relation network inside the container of the manufacturer of the associated equipment is established, and corresponding monitoring parameter association weights and safety thresholds are set according to actual working condition requirements and performance requirements of batteries and other equipment.
In an alternative embodiment, the weights and safety thresholds for different monitoring parameters are different for the same incident, and the weights and safety thresholds in different incidents are also different for the same monitoring parameter.
And then, determining the size and the times that the monitoring data corresponding to the monitoring parameters exceeds the corresponding safety threshold value.
In an alternative embodiment, when an accident occurs, monitoring data corresponding to each monitoring parameter in a preset time period is obtained, and the responsibility of the accident-related equipment is ordered according to the monitoring data in the preset time period, wherein the preset time period can be the first two weeks of the accident.
In an alternative embodiment, the magnitude of exceeding the corresponding safety threshold includes, but is not limited to, the proportion of the monitored data exceeding the safety threshold, for example, a certain monitored parameter safety threshold is (0.5-1), and if the monitored parameter is 1.5 before the accident occurs, the magnitude of exceeding the corresponding safety threshold is (1.5-1)/1; if the monitoring parameter is 0.3 before the accident occurs, the magnitude exceeding the corresponding safety threshold is (0.5-0.3)/0.5.
In an alternative embodiment, the number of times of exceeding the corresponding safety threshold may be the number of times of exceeding the safety threshold range, or may be a proportion of the occurrence frequency exceeding the safety threshold range, for example, the number of times of exceeding the safety threshold by all the monitoring parameters related to the accident is 10, the number of times of exceeding the monitoring parameter a is 3, and the proportion of the occurrence frequency of exceeding the safety threshold range by the monitoring parameter a is 3/10. Of course, the similarity with the accident occurrence time can be referred, and the closer the time is, the greater the accident responsibility is.
And finally, sorting the responsibility of the accident association equipment based on the corresponding association weight, the size and the times exceeding the corresponding safety threshold.
In an alternative embodiment, the associated weights of the monitoring parameters, the magnitudes and the times exceeding the corresponding safety thresholds are multiplied, and the ranking and probability distribution of the accident main responsible party are formed according to the magnitudes of the multiplied results. The larger the multiplied result is, the larger the accident responsibility is, and the larger the accident related equipment corresponding to the monitoring parameter is and the larger the supplier responsibility is.
In an example, the black box further has a hidden danger alarm function: and when the monitoring data exceeds the corresponding safety threshold, a hidden danger alarm is sent out, and the alarm level of the hidden danger alarm is determined according to the magnitude that the monitoring data exceeds the corresponding safety threshold.
In yet another example, the black box further has data and alarm event storage functionality: storing the monitoring data, the accident event log and the hidden danger alarm log into a local storage space; and uploading the monitoring data, the accident event log and the hidden danger alarm log to the cloud server when the local storage space is full. Of course, in order to avoid the loss of the data and the log in the local storage space, the local storage space and the cloud server can be synchronized regularly, so that the complete safety of the data is ensured. In this example, the black box may also query and display the monitoring data, the incident event log, and the hidden danger alarm log in real time.
In an alternative embodiment, after the hidden danger alarm log is uploaded to the cloud server, a short message prompt is sent to an established black box manager, after the manager informs operation and maintenance personnel of the on-site maintenance and release of the hidden danger, the black box manager has the right to release the hidden danger alarm, and meanwhile, the cloud server records the alarm release time and the operators into corresponding alarm log information.
In an alternative embodiment, after the monitoring data in the container is collected, the verification of the storage space capacity in the black box is automatically performed, and generally speaking, the black box should meet the storage space required by storing the whole data in the container for at least one month; if the storage space is still available locally in the black box, encrypting and storing the data and the potential safety hazard alarm event log into the black box; if the storage space of the black box is full, the black box encrypts and uploads all data stored in the black box to the cloud server for transfer storage through a built-in SIM card network or a local area network in the system, and synchronously stores the newly acquired data locally when enough space is vacated for local data storage. If the network connection problem exists in the period, the black box immediately gives out a storage overrun alarm, a special person is required to check and restore the network, new data generated in the period is temporarily stored in a cache module arranged in the black box for storage, and the local storage can be carried out again after the restoration.
Meanwhile, the hidden danger analysis and accident judgment results can independently form an event log and a hidden danger alarm log, when data and the event log are uploaded at the cloud end, the data stored in the cloud server can be encrypted, one or two black box administrators with the highest rights are required to be determined before the black box operates, and the data in the cloud server are entitled to be decoded and checked.
In another example, considering the characteristics of main accident hidden trouble such as thermal runaway in an electrochemical energy storage container, the functions of monitoring the temperature of the black box and self-protection of fire protection and temperature reduction are added, and the normal local data and normal functions of the black box are ensured after the container is lost, specifically: firstly, acquiring operation data of a black box, wherein the operation data of the black box represents the operation state of the black box; and then, when the operation data of the black box reaches a preset limit, performing cooling protection on the black box.
In an alternative embodiment, the black box is arranged inside the container, and the temperature sensor arranged on the black box can always collect the temperature value around the black box in the working process of the black box, and the temperature overrun judgment is carried out; meanwhile, hidden danger analysis is executed in the black box, and if the related hidden danger analysis results threaten the safety of the black box, such as overhigh temperature, the hidden danger analysis results can synchronously enter a black box self-protection analysis module; when the temperature sensor exceeds a safety threshold or the hidden danger analysis result reaches the self-limit of the black box, the black box can automatically start a matched black box cooling self-protection device, fully spray a disposable cooling fire-fighting medium to cool, stop data transmission and seal and store local storage data in the black box.
After the self-protection device is started by the black box, alarm information can be immediately sent to the cloud server to carry out emergency alarm, the emergency alarm represents that high temperature or serious safety accidents occur in the electrochemical energy storage container, people are required to carry out emergency rescue, after the danger is relieved, key data evidence can be extracted from the black box, meanwhile, a black box manager can be contacted, cloud data are analyzed, and accordingly accident judgment is carried out. If the black box with normal functions needs to be continuously used, enough fire protection self-medium needs to be supplemented.
In yet another example, after a destructive accident occurs in the electrochemical energy storage container system, the black box sends a short message notification to a black box manager through the cloud server at a first time after triggering the self-protection device, and the black box manager takes charge of the security of the black box after the first time arrives at the site. After the self-protection device is triggered, the black box can automatically block the container data information stored locally and at the cloud, only two administrators are present at the same time, and the data can be read after the two administrators input passwords. After two black box administrators input passwords, copying local data of the black boxes, extracting related data information of the accident container stored by the cloud server, and transferring the data information to a container accident handling responsibility fixing department.
In another example, the cloud server data reading and accident determination of the black box includes the steps of:
firstly, according to the data stored in the local black box and the data stored in the cloud server, the accident handling department asks professionals to analyze the data and multiplex the accident.
Then, starting an accident analysis function of the black box, and automatically extracting data of two weeks before and after the accident occurs in the cloud for accident analysis by the black box to obtain responsibility ordering and probability distribution of accident responsibility parties for reference by an accident judging department.
And secondly, the accident judging department comprehensively judges the responsible party of the accident and the accident cause according to the analysis result of the black box on the accident responsibility, the analysis of the recent operation data of the actual container accident, the on-site environment and other factors.
In one example, the black box also has data acquisition and processing analysis functions. The method specifically comprises the following steps:
firstly, according to the data communication requirement, the type and the number of the communication interfaces of the black box and the container are determined, and the complete butt joint of the container data is ensured.
And then, carrying out embedded and customized optimization of the black box supporting protocol according to the protocol adopted by the data transmission of the equipment in the container. And ensuring the data transmission rate and encrypting the data.
Finally, rules for preprocessing data are customized and developed in advance for the data collected in the electrochemical energy storage container system, and include data deduplication, data cleaning, data compression and the like.
Fig. 2 is a diagram of the main components of a black box in an electrochemical energy storage container according to an exemplary embodiment. As shown, the black box in the electrochemical energy storage container is composed of a processor, a memory unit, a display, a sensor, a fire protection and cooling device, a local storage medium and a network module. The network module supports SIM card, optical fiber and WIFI functions. The communication interfaces in the black box include, but are not limited to, industrial control common interfaces supporting IEC104, modbus TCP/RTU, 61850, CAN and the like.
Fig. 3 is an illustration of the core function of a black box in an electrochemical energy storage container in accordance with an exemplary embodiment. The core functions of the black box include: the method comprises the steps of data information acquisition in a container, data preprocessing of acquisition, full data storage (local storage for one month), container alarming, hidden danger and accident judgment, regular cloud synchronization of stored data, real-time data query and display, black box temperature monitoring, fireproof and explosion-proof and log event recording.
Fig. 4 is a graph of the type of data collected by a black box within an electrochemical energy storage container in accordance with an exemplary embodiment. The electrochemical energy storage container data collected by the black box comprises: each item of monitoring data such as battery cell, module, battery cluster voltage and current, BMS telemetering remote signaling remote control data, PCS telemetering remote signaling remote control data in the container, air conditioning system telemetering remote signaling remote control data in the container, ventilation system telemetering remote signaling remote control data in the container, fire control system telemetering remote signaling remote control data in the container, monitoring video data in the container, telemetering data of other devices in the container, alarm data of each device in the container and manual operation log record and configuration information of each device in the container.
Based on the same inventive concept, an embodiment of the present application further provides an electrochemical energy storage container accident analysis apparatus, as shown in fig. 5, applied to a black box disposed inside an electrochemical energy storage container, the apparatus comprising:
a first determination module 501 is used to determine the operation control logic of the electrochemical container based on the devices within the electrochemical container. The details are described in step S101 in the above embodiments, and are not described herein.
A second determination module 502 is configured to determine an association between monitored parameters of devices within the electrochemical container. The details refer to the description of step S102 in the above embodiment, and are not repeated here.
The establishing module 503 is configured to establish a data coupling model based on the operation control logic and the association relationship. The details are described in step S103 in the above embodiments, and are not described herein.
A first obtaining module 504, configured to obtain monitoring data of each device. The details are referred to the description of step S104 in the above embodiment, and will not be repeated here.
A ranking module 505 for ranking the magnitude of liability of the incident associated devices based on the monitored data and data coupling model of each device within the electrochemical container when an incident occurs. The details are described in step S105 in the above embodiments, and are not described herein.
In an example, the setup module 503 further includes:
and the first determining submodule is used for determining the safety threshold and the association weight between each monitoring parameter and each accident according to the operation control logic and the association relation. The details are described in the above embodiments, and are not repeated here.
And the establishing sub-module is used for establishing a data coupling model based on the security threshold and the association weight. The details are described in the above embodiments, and are not repeated here.
In an example, the ranking module 505 further includes:
and the second determining submodule is used for determining the monitoring parameters associated with the accident and the association weights and the safety thresholds corresponding to the monitoring parameters. The details are described in the above embodiments, and are not repeated here.
And the third determining submodule is used for determining the magnitude and the times that the monitoring data corresponding to the monitoring parameters exceeds the corresponding safety threshold value. The details are described in the above embodiments, and are not repeated here.
And the sequencing sub-module is used for sequencing the responsibility of the accident-related equipment based on the corresponding association weight, the size and the times exceeding the corresponding safety threshold. The details are described in the above embodiments, and are not repeated here.
In yet another example, the apparatus further comprises:
and the hidden danger early warning module is used for sending out hidden danger warning when the monitoring data exceeds the corresponding safety threshold value, and the warning level of the hidden danger warning is determined according to the magnitude that the monitoring data exceeds the corresponding safety threshold value. The details are described in the above embodiments, and are not repeated here.
In an example, the apparatus further comprises:
the first storage module is used for storing the monitoring data, the accident event log and the hidden danger alarm log into the local storage space. The details are described in the above embodiments, and are not repeated here.
In another example, the apparatus further comprises:
and the second storage module is used for uploading the monitoring data, the accident event log and the hidden danger alarm log to the cloud server when the local storage space is full. The details are described in the above embodiments, and are not repeated here.
In an example, the apparatus further comprises:
the second acquisition module is used for acquiring the operation data of the black box, wherein the operation data of the black box represents the operation state of the black box. The details are described in the above embodiments, and are not repeated here.
And the protection module is used for cooling and protecting the black box when the operation data of the black box reaches a preset limit. The details are described in the above embodiments, and are not repeated here.
The specific limitations and advantages of the device described above may be found in the above description of the method for analyzing an accident in an electrochemical energy storage container, and will not be described in detail herein. The various modules described above may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
Fig. 6 is a schematic diagram of a hardware structure of a computer device according to an exemplary embodiment. As shown in fig. 6, the device includes one or more processors 610 and a memory 620, the memory 620 including persistent memory, volatile memory and a hard disk, one processor 610 being illustrated in fig. 6. The apparatus may further include: an input device 630 and an output device 640.
The processor 610, memory 620, input devices 630, and output devices 640 may be connected by a bus or other means, for example in fig. 6.
The processor 610 may be a central processing unit (Central Processing Unit, CPU). The processor 610 may also be a chip such as other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination thereof. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 620 is used as a non-transitory computer readable storage medium, including persistent memory, volatile memory, and hard disk, and can be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the electrochemical energy storage container accident analysis method in the embodiments of the present application. The processor 610 executes various functional applications of the server and data processing, i.e., implements any of the electrochemical energy storage container incident analysis methods described above, by running non-transitory software programs, instructions, and modules stored in the memory 620.
Memory 620 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store data, etc., as needed, used as desired. In addition, memory 620 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 620 optionally includes memory remotely located relative to processor 610, which may be connected to the data processing apparatus via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 630 may receive input numeric or character information and generate signal inputs related to user settings and function control. The output device 640 may include a display device such as a display screen.
One or more modules are stored in the memory 620 that, when executed by the one or more processors 610, perform the method illustrated in fig. 1.
The product can execute the method provided by the embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method. Technical details which are not described in detail in the present embodiment can be found in the embodiment shown in fig. 1.
The embodiment of the application also provides a non-transitory computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions can execute the analysis method in any of the method embodiments. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Flash Memory (Flash Memory), a Hard Disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
The foregoing is merely exemplary of embodiments of the present application to enable those skilled in the art to understand or practice the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A method for accident analysis of an electrochemical energy storage container, applied to a black box disposed inside the electrochemical energy storage container, the method comprising:
determining an operation control logic of the electrochemical container based on the device within the electrochemical container;
determining an association between monitored parameters of devices within the electrochemical container;
establishing a data coupling model based on the operation control logic and the association relation;
acquiring monitoring data of each device;
when the accident happens, sorting the responsibility of the accident-related equipment based on the monitoring data of each equipment in the electrochemical container and the data coupling model;
the establishing a data coupling model based on the operation control logic and the association relation comprises the following steps:
determining a safety threshold and an association weight between each monitoring parameter and each accident according to the operation control logic and the association relation;
establishing a data coupling model based on the security threshold and the association weight;
the sequencing of the responsibility of the accident-related equipment based on the monitoring data of each equipment in the electrochemical container and the data coupling model comprises the following steps:
determining a monitoring parameter associated with the accident, and an associated weight and a safety threshold corresponding to each monitoring parameter;
determining the size and the number of times that the monitoring data corresponding to the monitoring parameters exceeds the corresponding safety threshold value;
and sorting the responsibility of the accident-related equipment based on the corresponding association weight, the size and the number of times exceeding the corresponding safety threshold.
2. The method according to claim 1, wherein the method further comprises:
and when the monitoring data exceeds the corresponding safety threshold, a hidden danger alarm is sent out, and the alarm level of the hidden danger alarm is determined according to the magnitude that the monitoring data exceeds the corresponding safety threshold.
3. The method as recited in claim 2, wherein the method further comprises:
and storing the monitoring data, the accident event log and the hidden danger alarm log into a local storage space.
4. A method according to claim 3, characterized in that the method further comprises:
and uploading the monitoring data, the accident event log and the hidden danger alarm log to a cloud server when the local storage space is full.
5. The method according to claim 1, wherein the method further comprises:
acquiring the operation data of the black box, wherein the operation data of the black box represents the operation state of the black box;
and when the operation data of the black box reaches a preset limit, performing cooling protection on the black box.
6. An electrochemical energy storage container accident analysis apparatus, applied to a black box disposed inside an electrochemical energy storage container, comprising:
a first determination module for determining an operation control logic of the electrochemical container based on the device within the electrochemical container;
a second determining module for determining a correlation between monitored parameters of the devices within the electrochemical container;
the building module is used for building a data coupling model based on the operation control logic and the association relation;
the sequencing module is used for acquiring monitoring data of each device;
the judging module is used for sequencing the responsibility of the accident-related equipment based on the monitoring data of each equipment in the electrochemical container and the data coupling model when the accident occurs;
the establishing a data coupling model based on the operation control logic and the association relation comprises the following steps:
determining a safety threshold and an association weight between each monitoring parameter and each accident according to the operation control logic and the association relation;
establishing a data coupling model based on the security threshold and the association weight;
the sequencing of the responsibility of the accident-related equipment based on the monitoring data of each equipment in the electrochemical container and the data coupling model comprises the following steps:
determining a monitoring parameter associated with the accident, and an associated weight and a safety threshold corresponding to each monitoring parameter;
determining the size and the number of times that the monitoring data corresponding to the monitoring parameters exceeds the corresponding safety threshold value;
and sorting the responsibility of the accident-related equipment based on the corresponding association weight, the size and the number of times exceeding the corresponding safety threshold.
7. A computer device comprising a memory and a processor, the memory and the processor being communicatively coupled to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the steps of the electrochemical energy storage container incident analysis method of any one of claims 1-5.
8. A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the electrochemical energy storage container incident analysis method of any of claims 1-5.
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