CN112465158A - Charging pile charging operation and maintenance fault analysis and emergency processing system based on edge calculation - Google Patents
Charging pile charging operation and maintenance fault analysis and emergency processing system based on edge calculation Download PDFInfo
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Abstract
The invention relates to a charging pile charging operation and maintenance fault analysis and emergency processing system based on edge calculation, which comprises: the intelligent charging pile fault diagnosis system comprises an edge processing module, a cloud center module and an emergency processing module, wherein the edge processing module classifies collected charging pile operation information, conveys the collected charging pile operation information to the cloud center module for self intelligent fault information type identification or artificial fault type identification, and starts the emergency processing module to remove faults according to the fault types after the fault types are confirmed. The system saves the analysis and classification time of the operation faults of the charging pile by utilizing edge calculation, and can start the emergency processing module in time.
Description
Technical Field
The invention belongs to the technical field of charging piles, and relates to a charging operation and maintenance fault analysis and emergency processing system of a charging pile based on edge calculation.
Background
The charging facility is used as a main mode of energy supply of the electric automobile, and the planning and construction of the charging facility must take account of the industrial development progress and the economy, so that the intelligent charging service network of the electric automobile is developed rapidly, actively responds to the charging demand, realizes orderly charging through the active cooperation among the charger, the battery management system and the power grid, and forms a wide-area coverage service network with networking, intelligentization and standardization characteristics.
Along with the increase of the scale of the charging facility, the risk of the fault detection and the charging safety protection of the electric automobile is increased, and the current automobile-pile intelligentization and information interconnection degree is not high, so that the charging operation platform cannot analyze and process the fault in real time, the operation and maintenance personnel of the charging facility cannot perform maintenance and improvement, and the healthy and rapid development of the electric automobile industry is severely restricted.
Therefore, the electric automobile and the charging pile are used as terminals of the internet of things, the intelligent fault and networked analysis technology of the electric automobile charging facility based on edge calculation is researched, the large data resources of the charging network are utilized to complete the operation safety assessment and emergency treatment of the charging facility, and the operation safety level of the charging network is improved.
Disclosure of Invention
The invention aims to solve the defects of the prior art and provides a charging operation and maintenance fault analysis and emergency processing system of a charging pile based on edge calculation.
The technical problem to be solved by the invention is realized by the following technical scheme:
the utility model provides a fill electric pile operation and maintenance fault analysis and emergency treatment system that charges based on edge calculation which characterized in that: the system comprises an edge processing module, a cloud center module and an emergency processing module; after classifying the collected charging pile operation information, the edge processing module conveys the collected charging pile operation information to the cloud center module for fault information type identification, and after the fault type is confirmed, the emergency processing module is started to remove the fault.
Moreover, the edge processing module comprises a real-time data acquisition unit, an abnormality detection unit and a data pre-storage unit;
the real-time data acquisition unit is used for acquiring operation information and then transmitting the operation information to the abnormality detection unit;
a charging pile safe operation data threshold value is arranged in the abnormality detection unit, if the data transmitted by the real-time data acquisition unit is within the safe operation threshold value range, the data is transmitted to the data pre-storage unit for edge storage and then transmitted to the historical data unit in the cloud center module, if the data transmitted by the real-time data acquisition unit is not within the safe operation threshold value range, the acquired data is transmitted to the abnormality diagnosis knowledge base unit in the cloud center module, the abnormality diagnosis knowledge base unit performs fault recognition on the charging pile, if the data is not the existing fault type in the abnormality diagnosis knowledge base, the data is transferred to the non-identification fault base, and if the data is the existing fault type in the abnormality diagnosis knowledge base, the data is transferred to the fault information classification unit in the emergency processing module.
And transmitting the fault data transferred into the non-identification fault library to a manual diagnosis unit in the emergency processing module, classifying and identifying fault types, and transmitting the identified data to the abnormal diagnosis knowledge base unit.
Moreover, the cloud center module comprises a historical data unit, a data mining unit, an abnormality diagnosis knowledge base unit and a non-identification fault base; and the data of the historical data unit is transmitted to the data mining unit, and the data mining unit transmits the data to the abnormal diagnosis knowledge base.
Furthermore, the emergency processing module includes: the system comprises a fault information classification unit, a fault information sending unit and a manual diagnosis unit; and fault data in the emergency processing module is subjected to fault classification in the fault type classification unit, and fault information is sent to operation and maintenance personnel with different fault types through the fault information sending unit according to a classification result.
Further, the failure information transmitting means transmits the information once at intervals of 20 minutes until the failure is resolved.
The invention has the advantages and beneficial effects that:
compared with the prior art, the charging pile charging operation and maintenance fault analysis and emergency processing system based on the edge calculation is used for researching the electric automobile charging pile charging operation and maintenance fault analysis and emergency response technology, and the charging facility operation safety assessment, early warning and emergency processing are completed by utilizing the charging network big data resources in the electric automobile charging facility fault intelligent and networked analysis technology based on the edge calculation, so that the charging network operation safety level is improved.
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Fig. 1 is a flowchart of a charging pile charging operation and maintenance fault analysis and emergency processing system based on edge calculation.
Detailed Description
The present invention is further illustrated by the following specific examples, which are intended to be illustrative, not limiting and are not intended to limit the scope of the invention.
Referring to fig. 1, an embodiment of the present invention provides an edge-computing-based charging pile charging operation and maintenance fault analysis and emergency processing system, which is innovative in that: the system comprises an edge processing module 1, a cloud center module 2 and an emergency processing module 3.
In this embodiment, after the edge processing module 1 classifies the collected charging pile operation information, the collected charging pile operation information is conveyed to the cloud center module 2 to be identified as the fault information type, and after the fault type is confirmed, the emergency processing module 3 is started to remove the fault.
The single edge processing module 1 includes a real-time data acquisition unit 11, an anomaly detection unit 12, and a data pre-storage unit 13.
The cloud center module 2 includes a history data unit 21, a data mining unit 22, an abnormality diagnosis knowledge base unit 23, and a non-identification fault base 24.
The emergency processing module 3 includes a fault information classifying unit 31, a fault information transmitting unit 32, and a manual diagnosis unit 33.
The real-time data acquisition unit 11 includes some detection devices, these devices generally are current sensor, voltage transformer, temperature sensor, insulation detection device etc., and the information that detects includes current value, voltage value, temperature value, insulation conductance numerical value etc. real-time data acquisition unit 11 conveys to the unusual detection unit 12 in unison after gathering required information.
A charging pile safe operation data threshold value is arranged in the abnormality detection unit 12, if data transmitted by the real-time data acquisition unit 11 is within a safe operation threshold value range, the charging pile operation data are directly transmitted to the data pre-storage unit 13 for edge storage, and then transmitted to the historical data unit 21 in the cloud center module 2, if the data transmitted by the real-time data acquisition unit 11 are not within the safe operation threshold value range, the acquired data are transmitted to the abnormality diagnosis knowledge base unit 23 in the cloud center module 2, the abnormality diagnosis knowledge base unit 23 performs fault identification on the charging pile, if the data are not the existing fault type in the abnormality diagnosis knowledge base 23, the data are transferred to the non-identification fault base 24, and if the data are the existing fault type in the abnormality diagnosis knowledge base 23, the data are transferred to the fault information classification unit 31 in the emergency processing module 3.
The fault data transferred into the non-identification fault library 24 is transmitted to the manual diagnosis unit 33 in the emergency processing module 3, the fault types are classified and identified, and the identified data is transmitted to the abnormality diagnosis knowledge base unit 23.
In the cloud center module 2, the data of the history data unit 21 is transmitted to the data mining unit 22, and the data mining unit 22 transmits the data to the abnormality diagnosis knowledge base 23.
In the emergency processing module 3, the transmitted fault data is subjected to fault classification in the fault type classification unit 31, fault information is transmitted to operation and maintenance personnel with different fault types through the fault information transmission unit 32 according to the classification result, and the information is transmitted once every 20 minutes until the fault is relieved or the target charging pile is stopped.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (6)
1. The utility model provides a fill electric pile operation and maintenance fault analysis and emergency treatment system that charges based on edge calculation which characterized in that: the system comprises an edge processing module, a cloud center module and an emergency processing module; after classifying the collected charging pile operation information, the edge processing module conveys the collected charging pile operation information to the cloud center module for fault information type identification, and after the fault type is confirmed, the emergency processing module is started to remove the fault.
2. The charging pile charging operation and maintenance fault analysis and emergency processing system based on edge computing as claimed in claim 1, wherein: the edge processing module comprises a real-time data acquisition unit, an abnormality detection unit and a data pre-storage unit;
the real-time data acquisition unit is used for acquiring operation information and then transmitting the operation information to the abnormality detection unit;
a charging pile safe operation data threshold value is arranged in the abnormality detection unit, if the data transmitted by the real-time data acquisition unit is within the safe operation threshold value range, the data is transmitted to the data pre-storage unit for edge storage and then transmitted to the historical data unit in the cloud center module, if the data transmitted by the real-time data acquisition unit is not within the safe operation threshold value range, the acquired data is transmitted to the abnormality diagnosis knowledge base unit in the cloud center module, the abnormality diagnosis knowledge base unit performs fault recognition on the charging pile, if the data is not the existing fault type in the abnormality diagnosis knowledge base, the data is transferred to the non-identification fault base, and if the data is the existing fault type in the abnormality diagnosis knowledge base, the data is transferred to the fault information classification unit in the emergency processing module.
3. The charging pile charging operation and maintenance fault analysis and emergency processing system based on edge computing as claimed in claim 1, wherein: and transmitting the fault data transferred into the non-identification fault library to a manual diagnosis unit in the emergency processing module, classifying and identifying fault types, and transmitting the identified data to the abnormal diagnosis knowledge base unit.
4. The charging pile charging operation and maintenance fault analysis and emergency processing system based on edge computing as claimed in claim 1, wherein: the cloud center module comprises a historical data unit, a data mining unit, an abnormality diagnosis knowledge base unit and a non-identification fault base; and the data of the historical data unit is transmitted to the data mining unit, and the data mining unit transmits the data to the abnormal diagnosis knowledge base.
5. The charging pile charging operation and maintenance fault analysis and emergency processing system based on edge computing as claimed in claim 1, wherein: the emergency processing module comprises: the system comprises a fault information classification unit, a fault information sending unit and a manual diagnosis unit; and fault data in the emergency processing module is subjected to fault classification in the fault type classification unit, and fault information is sent to operation and maintenance personnel with different fault types through the fault information sending unit according to a classification result.
6. The charging pile charging operation and maintenance fault analysis and emergency processing system based on edge computing as claimed in claim 5, wherein: the failure information transmitting unit transmits information once at intervals of 20 minutes until failure is resolved.
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| CN202011267051.2A CN112465158A (en) | 2020-11-13 | 2020-11-13 | Charging pile charging operation and maintenance fault analysis and emergency processing system based on edge calculation |
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| CN202011267051.2A CN112465158A (en) | 2020-11-13 | 2020-11-13 | Charging pile charging operation and maintenance fault analysis and emergency processing system based on edge calculation |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109635992A (en) * | 2018-10-22 | 2019-04-16 | 成都万江港利科技股份有限公司 | A kind of internet of things equipment operating analysis diagnosis algorithm based on big data |
| CN110596486A (en) * | 2019-08-26 | 2019-12-20 | 国创新能源汽车能源与信息创新中心(江苏)有限公司 | Intelligent early warning operation and maintenance method and system for charging pile |
| CN111275321A (en) * | 2020-01-19 | 2020-06-12 | 重庆国翰能源发展有限公司 | Charging pile state analysis system and method |
| CN111652758A (en) * | 2020-05-27 | 2020-09-11 | 国网新源水电有限公司富春江水力发电厂 | Hydropower station emergency disposal auxiliary system and emergency method |
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- 2020-11-13 CN CN202011267051.2A patent/CN112465158A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109635992A (en) * | 2018-10-22 | 2019-04-16 | 成都万江港利科技股份有限公司 | A kind of internet of things equipment operating analysis diagnosis algorithm based on big data |
| CN110596486A (en) * | 2019-08-26 | 2019-12-20 | 国创新能源汽车能源与信息创新中心(江苏)有限公司 | Intelligent early warning operation and maintenance method and system for charging pile |
| CN111275321A (en) * | 2020-01-19 | 2020-06-12 | 重庆国翰能源发展有限公司 | Charging pile state analysis system and method |
| CN111652758A (en) * | 2020-05-27 | 2020-09-11 | 国网新源水电有限公司富春江水力发电厂 | Hydropower station emergency disposal auxiliary system and emergency method |
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Application publication date: 20210309 |