Charging pile part management method based on RFID and sensor

By adopting RFID and sensor technology in the management of charging pile parts, automated monitoring and early warning of component status is achieved, and the problem of difficulty in timely discovering component status in the existing technology is solved, and the operational efficiency and reliability of charging piles are improved.

CN119761947APending Publication Date: 2025-04-04CHUXIONG POWER SUPPLY BUREAU OF YUNNAN POWER GRID CO LTD
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Patent Information

Application Number
CN202411822115.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-11
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

It is difficult to detect the status of the existing charging pile parts management in a timely manner, resulting in a high probability of charging pile failure and affecting stable operation.

Method used

Adopt RFID and sensor-based management methods, RFID tags on components are identified through RFID readers, warehouse locations are automatically allocated, transportation information is monitored in real time, and early warning information is sent according to abnormal situations.

Benefits of technology

The full process monitoring of charging pile components from storage to transportation is realized, logistics efficiency and response speed are improved, fault probability is reduced, and the stable operation of charging piles is ensured.

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Abstract

The invention discloses a charging pile part management method based on RFID and a sensor, and relates to the technical field of part management. The method comprises the following steps: identifying an RFID tag on a charging pile part through an RFID reader to obtain cargo information; warehouse locations are automatically distributed according to the cargo information, and the charging pile parts are stored in a warehouse according to the warehouse locations to obtain warehouse-in information; a warehouse-out instruction is obtained, and warehouse-out operation of the charging pile parts is completed according to the warehouse-in information and the warehouse-out instruction; the ex-warehouse charging pile parts are transported to a designated destination, and transportation information is acquired; and judging abnormal conditions of the charging pile parts according to the transportation information, and sending early warning information according to the abnormal conditions. The intelligent level and the operation stability of charging pile part management are effectively improved.
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Description

Technical Field

[0001] The present application relates to the technical field of parts management, and in particular to a charging pile parts management method based on RFID and sensors. Background Art

[0002] With the rapid growth of the global new energy vehicle market, charging piles, as key supporting facilities to support the development of new energy vehicles, are particularly important for efficient operation and maintenance. The management of charging pile parts is the basis for ensuring the stable operation of charging piles. By timely replacing aging, worn or faulty parts, the charging pile can be kept in good working condition to avoid charging interruptions or reduced charging efficiency due to parts problems. However, the existing management of charging pile parts is generally just simple allocation and storage, and it is difficult to find the status of charging pile parts in time, so as to find faults. This greatly increases the probability of failure of the charging pile and interferes with the stable operation of the charging pile. Summary of the invention

[0003] The purpose of the present invention is to provide a charging pile parts management method based on RFID and sensors to solve the problems raised in the above background technology.

[0004] The present application provides a charging pile parts management method based on RFID and sensors, which adopts the following technical solutions:

[0005] The RFID reader identifies the RFID tags on the charging pile components to obtain the cargo information;

[0006] Automatically allocate warehouse locations based on cargo information, store charging pile components in warehouses according to warehouse locations, and obtain warehouse entry information;

[0007] Obtain outbound instructions, and complete the outbound operation of charging pile parts according to the incoming information and outbound instructions;

[0008] Transport the outbound charging pile parts to the designated destination and collect transportation information;

[0009] Determine the abnormal situation of charging pile components based on transportation information, and send early warning information based on the abnormal situation.

[0010] Preferably, the step of identifying the RFID tags on the charging pile components by an RFID reader to obtain the cargo information is specifically as follows:

[0011] The placement locations of RFID readers are randomly selected and recorded as candidates;

[0012] The fitness of the initial placement position is calculated according to the fitness function, which is as follows:

[0013]

[0014] Where Fintess is the fitness, c is the total number of tags covered by the RFID reader in the candidate solution corresponding to the candidate, T is the number of RFID tags in the environment where the candidate is located, n is the number of RFID readers enabled in the candidate solution, N is the maximum number of RFID readers placed, and e is the number of RFID tags covered by multiple RFID readers;

[0015] a placement position of the RFID reader selected according to the fitness, and arranging the RFID reader according to the placement position;

[0016] The RFID tags on the charging pile components are identified by the RFID reader to obtain the cargo information.

[0017] Preferably, the step of determining the abnormal situation of the charging pile components according to the transportation information and sending warning information according to the abnormal situation is specifically as follows:

[0018] Use a three-axis acceleration sensor to monitor the real-time transportation information of charging pile parts in real time;

[0019] Obtain standard transportation information when there is no abnormality in the charging pile parts;

[0020] Compare the information similarity between real-time transportation information and standard transportation information. When the information similarity reaches the preset information similarity standard, determine that the transportation is abnormal;

[0021] Acquire transportation abnormality data, determine the degree of failure of charging pile components based on the transportation abnormality data, and send early warning information based on the degree of failure.

[0022] Preferably, the steps of obtaining abnormal transportation data, determining the degree of failure of charging pile components according to the abnormal transportation data, and sending warning information according to the degree of failure are specifically as follows:

[0023] Establish reliability evaluation indicators and evaluate the reliability performance of charging pile components based on the reliability evaluation indicators;

[0024] Establish recycling and reuse evaluation indicators, and evaluate the recycling performance of charging pile components based on the recycling and reuse evaluation indicators;

[0025] Extract the indicators of reliability performance and recycling performance, perform consistency aggregation based on the indicators, and obtain the performance degree;

[0026] Sorting is done according to performance, the corresponding fault degree of the charging pile components is obtained, and warning information is sent according to the fault degree.

[0027] Preferably, the step of establishing a reliability evaluation index and evaluating the reliability performance of the charging pile components according to the reliability evaluation index is specifically as follows:

[0028] The reliability evaluation index includes the probability level of failure mode occurrence, the severity level of impact, and the difficulty level of detection;

[0029] The reliability evaluation indicators are classified, among which the probability level of failure mode occurrence is a quantitative indicator, and the impact severity level and detection difficulty level are qualitative indicators;

[0030] The evaluation results of several experts on various reliability evaluation indicators of different charging pile components are obtained respectively to obtain the reliability performance of the charging pile components.

[0031] Preferably, the step of establishing a recycling and reuse evaluation index and evaluating the recycling performance of charging pile components according to the recycling and reuse evaluation index is specifically as follows:

[0032] The recycling and reusability evaluation index includes disassembly difficulty, testing difficulty, market value and interchangeability;

[0033] The evaluation indicators of recycling and reuse are classified, among which the difficulty of disassembly and market value are quantitative indicators, and the difficulty of testing and interchangeability are qualitative indicators;

[0034] The evaluation results of several experts on various recycling and reuse evaluation indicators of different charging pile components are obtained respectively to obtain the recycling performance of the charging pile components.

[0035] Preferably, the step of extracting the indicators of reliability performance and recovery performance, performing consistency aggregation according to the indicators, and obtaining the performance degree is specifically as follows:

[0036] Extract quantitative and qualitative indicators of reliability and recycling performance respectively;

[0037] Assume that there are u quantitative indicators (R1, R2, ..., R U ) and w qualitative indicators (Q1, Q2, …, Q w ), and evaluate e evaluation objects (F1, F2, …, F e ) to make decisions;

[0038] Establish the initialization decision matrix X of quantitative indicators = (x ij ) e×u :

[0039]

[0040] Establish the initial decision matrix Y of qualitative indicators ij ) e×w :

[0041]

[0042] Substitute the initialization decision matrix of the quantitative indicators and the initialization decision matrix of the qualitative indicators into the decision model to obtain the performance index.

[0043] Preferably, the step of sorting according to performance to obtain the fault degree corresponding to the charging pile components and sending warning information according to the fault degree is specifically as follows:

[0044] Set a fault degree threshold to determine whether the fault degree reaches the fault degree threshold. If the fault degree threshold is not reached, the detection result is determined to be normal.

[0045] Automatically archive data and transport charging pile components to their destination;

[0046] If the fault severity threshold is reached, an early warning message is sent according to the fault severity settings.

[0047] Preferably, if the fault level threshold is reached, the step of sending warning information is set according to the fault level, specifically:

[0048] Set different levels of warnings according to the degree of fault and match the corresponding warning levels;

[0049] Matching a corresponding warning method from the preset warning methods according to the corresponding warning level;

[0050] Generate early warning information based on the severity of the fault, and send the early warning information to the safety officer in the corresponding early warning method, waiting for the safety officer to handle it.

[0051] Preferably, the warning levels corresponding to the matching are: level one warning, the system records and archives; level two warning, the system sends a reminder to the person in charge; level three warning, the system directly disables related components and triggers an emergency response mechanism.

[0052] In summary, the beneficial technical effects of the present invention are:

[0053] 1. The whole process monitoring of charging pile parts from warehousing, transportation to final replacement is realized, which greatly improves the logistics efficiency and response speed. The use of RFID tags and sensors realizes the automated warehouse management of the status of parts, including automatic recording of cargo information, automatic allocation of warehouse locations, intelligent outbound operations, etc., which greatly improves the intelligent level of warehouse management. At the same time, it improves the efficiency and quality of charging pile construction. The system can monitor the status of charging pile parts in real time, detect and handle faults in time, and ensure the stable operation of charging piles.

[0054] 2. Plan the placement of RFID readers and optimize the layout of readers to achieve the goal of minimum number of RFID readers and maximum coverage, reducing costs while improving efficiency.

[0055] 3. By analyzing the failure mode, severity and detection difficulty, the reliability evaluation of charging pile components is improved. Combined with expert judgment and statistical data, the recycling and reuse of components are comprehensively ranked and evaluated to help managers make scientific decisions. The intelligent level of charging pile component management and operational stability are effectively improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a schematic diagram of the specific steps of an embodiment of a charging pile parts management method based on RFID and sensors of the present invention. DETAILED DESCRIPTION

[0057] Below is a combination of the embodiments and Figure 1 The present invention is further described in detail, but the embodiments of the present invention are not limited thereto.

[0058] The present invention discloses a charging pile parts management method based on RFID and sensors, which specifically includes the following steps:

[0059] Step S1, identifying the RFID tags on the charging pile components through an RFID reader to obtain cargo information.

[0060] Step S2, automatically allocating warehouse locations according to the cargo information, storing the charging pile components in the warehouse according to the warehouse locations, and obtaining the warehouse entry information.

[0061] Step S3, obtaining the outbound instruction, and completing the outbound operation of the charging pile parts according to the incoming information and the outbound instruction.

[0062] Step S4, transporting the charging pile components shipped out of the warehouse to the designated destination, and collecting the transportation information.

[0063] Step S5, determining the abnormal situation of the charging pile components according to the transportation information, and sending an early warning message according to the abnormal situation.

[0064] In actual application, with the rapid development of new energy vehicles, charging piles are key facilities for energy replenishment, and their construction and operation efficiency directly affect the popularization and promotion of new energy vehicles. However, there are many challenges in the construction, maintenance and operation of charging piles, especially in the logistics monitoring, inventory management, and recycling and reuse of parts. These problems not only affect the reliability and operational efficiency of charging piles, but also the rational use of resources and environmental protection. The introduction of RFID optimization strategy to solve the placement and inventory misplacement problems, the introduction of sensor network monitoring of the entire logistics process and the evaluation method of the recycling and reuse of parts can solve the above challenges, improve the operational efficiency and reliability of charging piles, and promote the rational use of resources and environmental protection.

[0065] The steps to obtain cargo information by using an RFID reader to identify the RFID tags on the charging pile components are as follows:

[0066] Step S11, randomly select a placement location for the RFID reader and record it as a candidate.

[0067] Step S12, calculating the fitness of the initial placement position according to the fitness function, the fitness function is as follows:

[0068]

[0069] Among them, Fintess is the fitness, c is the total number of tags covered by the RFID reader in the candidate solution corresponding to the candidate, T is the number of RFID tags in the environment where the candidate is located, n is the number of RFID readers enabled in the candidate solution, N is the maximum number of RFID readers placed, and e is the number of RFID tags covered by multiple RFID readers.

[0070] Step S13, the placement positions of the RFID readers are selected according to the fitness, and the RFID readers are arranged according to the placement positions.

[0071] Step S14, identifying the RFID tags on the charging pile components through the RFID reader to obtain the cargo information.

[0072] In practice, this fitness function is sufficient to ensure that the optimization process tends to favor the candidate solution with the minimum number of readers and the maximum coverage. Coverage (weight of 0.6) is more important because it is more important in the reader placement problem.

[0073] The steps of judging the abnormal situation of the charging pile parts according to the transportation information and sending the warning information according to the abnormal situation are as follows:

[0074] Step S51, using a three-axis acceleration sensor to monitor real-time transportation information of charging pile components during transportation.

[0075] Step S52, obtaining standard transportation information when there is no abnormality in the charging pile components.

[0076] Step S53, comparing the information similarity between the real-time transportation information and the standard transportation information, and when the information similarity reaches a preset information similarity standard, determining that the transportation is abnormal.

[0077] A similarity threshold (80%) is set to distinguish normal transport from abnormal situations.

[0078] Step S54 sets a similarity threshold (80%) for distinguishing normal transportation from abnormal situations;

[0079] Step S55, obtaining transportation abnormality data, determining the degree of failure of the charging pile components according to the transportation abnormality data, and sending warning information according to the degree of failure.

[0080] In actual use, RFID scanning is used when parts enter the warehouse, the cargo information is recorded, and the warehouse location is automatically assigned. When leaving the warehouse, the administrator selects the target shelf according to the cargo status and completes the departure operation. When transporting parts, a three-axis acceleration sensor is used to monitor abnormalities in cargo transportation (such as collisions and dumping) in real time. The data is uploaded to the server, and the system analyzes and determines the safety status. When abnormal behavior is detected, the system will send an early warning message. If there is no abnormality, the data will be automatically archived and the transportation process will be optimized.

[0081] When new parts are transported to the charging station that needs to be replaced, the system tracks the progress of the goods delivery and provides real-time status updates. It also provides abnormal warning functions to support administrators to respond quickly.

[0082] The steps of obtaining abnormal transportation data, determining the degree of failure of charging pile components according to the abnormal transportation data, and sending early warning information according to the degree of failure are as follows:

[0083] Step S551, establishing reliability evaluation indicators, and evaluating the reliability performance of charging pile components according to the reliability evaluation indicators.

[0084] Step S552, establishing a recycling and reuse evaluation index, and evaluating the recycling performance of the charging pile components according to the recycling and reuse evaluation index.

[0085] Step S553, extracting the indicators of reliability performance and recovery performance, performing consistency aggregation according to the indicators, and obtaining the performance degree.

[0086] Step S554, sorting according to performance, obtaining the fault degree corresponding to the charging pile components, and sending warning information according to the fault degree.

[0087] The steps of establishing reliability evaluation indicators and evaluating the reliability performance of charging pile components according to the reliability evaluation indicators are as follows:

[0088] Step S5511, reliability evaluation indicators include the probability level of failure mode occurrence, the impact severity level and the detection difficulty level.

[0089] Step S5512, classifying the reliability evaluation indicators, wherein the probability level of the failure mode is a quantitative indicator, and the impact severity level and the detection difficulty level are qualitative indicators.

[0090] Step S5513, respectively obtain the evaluation results of several experts on various reliability evaluation indicators of different charging pile components to obtain the reliability performance of the charging pile components.

[0091] In actual application, all possible failure modes of the product and their possible impacts are analyzed, and they are classified according to the severity of the impact of each failure mode and its probability of occurrence. Risk priority values ​​are defined and used as key assessment factors in traditional FMECA. It contains three risk factors, among which the failure mode probability level is used to assess the possibility of a certain failure mode actually occurring; the impact severity level is used to assess the final impact of the analyzed failure mode; and the detection difficulty level is used to assess the possibility of finding various causes of the analyzed failure mode through the enterprise's predetermined inspection procedures.

[0092] The steps to establish recycling and reuse evaluation indicators and evaluate the recycling performance of charging pile components based on the recycling and reuse evaluation indicators are as follows:

[0093] Step S5521, the recycling and reusability evaluation indicators include disassembly difficulty, testing difficulty, market value and interchangeability.

[0094] Step S5522, classifying the recycling and reusability evaluation indicators, wherein disassembly difficulty and market value are quantitative indicators, and testing difficulty and interchangeability are qualitative indicators.

[0095] Step S5523, respectively obtain the evaluation results of several experts on various recycling and reuse evaluation indicators of different charging pile components to obtain the recycling performance of the charging pile components.

[0096] In actual use, recycling and reuse can maximize the recycling value of charging piles. If the recycled parts that meet the needs of re-service are used to replace new parts in the production and daily operation and maintenance of charging piles, the production and operation and maintenance costs can be effectively reduced and resource waste can be avoided. Before the parts enter the reuse stage, they need to go through two key links: disassembly and testing. The difficulty of recycling parts is determined by these two links. Whether the recycled parts can smoothly enter the reuse stage is closely related to the market value and interchangeability of the parts. The higher the market value and interchangeability of the parts, the greater the recycling rate, the greater the degree of passing, and the greater the chance of entering the reuse stage. Market value and interchangeability jointly determine the reuse potential of parts. Among them, disassembly difficulty is a quantitative indicator, which is measured by disassembly time. Test difficulty is a qualitative indicator, which is defined as the difficulty level of determining the fault location and damage degree of the reused parts. It reflects the feasibility and test cost of the service performance test of the parts. Market value can be directly referenced from the market price, which is a quantitative indicator. Interchangeability is a qualitative indicator, which predicts the market size of the reuse of parts and needs to be evaluated by technical experts.

[0097] The steps of extracting the indicators of reliability performance and recycling performance, performing consistency aggregation based on the indicators, and obtaining the performance degree are as follows:

[0098] Step S5531, extracting quantitative indicators and qualitative indicators of reliability performance and recycling performance respectively.

[0099] Step S5532, assuming that there are u quantitative indicators (R1, R2, ..., R U ) and w qualitative indicators (Q1, Q2, …, Q w ), and evaluate e evaluation objects (F1, F2, …, F e ) to make decisions.

[0100] Step S5533, establish the initialization decision matrix X of the quantitative index = (x ij ) e×u :

[0101]

[0102] Step S5534, establish the initial decision matrix Y of qualitative indicators = (y ij ) e×w :

[0103]

[0104] Step S5535, substitute the initialization decision matrix of the quantitative index and the initialization decision matrix of the qualitative index into the decision model to obtain the performance index.

[0105] In practical applications, there are qualitative and quantitative indicators in the decision analysis of reliability and recyclability, and the performance index is obtained through the pre-trained decision model.

[0106] Sorting by performance to obtain the fault degree corresponding to the charging pile components, and sending warning information according to the fault degree are as follows:

[0107] Step S5541, setting a fault degree threshold, determining whether the fault degree reaches the fault degree threshold, and if it does not reach the fault degree threshold, determining that the detection result is normal.

[0108] Step S5542, automatically archive the data and transport the charging pile components to the destination.

[0109] Step S5543: If the fault level threshold is reached, an early warning message is sent according to the fault level setting.

[0110] In actual use, the higher the performance, the lower the fault rate. Charging pile parts without faults can be directly delivered to the destination for use.

[0111] If the fault severity threshold is reached, the steps for sending warning information are set according to the fault severity, specifically:

[0112] Step S55431, set different levels of warnings according to the degree of fault, and match the corresponding warning levels: Level 1 warning, the system records and archives; Level 2 warning, the system sends a reminder to the person in charge; Level 3 warning, the system directly disables the relevant components and triggers the emergency response mechanism;

[0113] Step S55432, matching the corresponding warning method from the preset warning methods according to the corresponding warning level.

[0114] Step S55433, generate warning information according to the degree of fault, send the warning information to the safety officer in the corresponding warning method, and wait for the safety officer to process.

[0115] In actual use, the safety officer needs to be notified in a timely manner if the charging pile components have serious faults, so as to reduce the interference of the faulty components on the stable operation of the charging pile.

[0116] The corresponding warning levels are: Level 1 warning, the system records and archives. Level 2 warning, the system sends a reminder to the person in charge. Level 3 warning, the system directly disables the relevant components and triggers the emergency response mechanism.

[0117] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A charging pile parts management method based on RFID and sensors, characterized in that: The following steps are involved: The RFID reader identifies the RFID tags on the charging pile components to obtain the cargo information; Automatically allocate warehouse locations based on cargo information, store charging pile components in warehouses according to warehouse locations, and obtain warehouse entry information; Obtain outbound instructions, and complete the outbound operation of charging pile parts according to the incoming information and outbound instructions; Transport the outbound charging pile parts to the designated destination and collect transportation information; Determine the abnormal situation of charging pile components based on transportation information, and send early warning information based on the abnormal situation.

2. A charging pile parts management method based on RFID and sensors according to claim 1, characterized in that: The step of identifying the RFID tags on the charging pile components by the RFID reader to obtain the cargo information is specifically as follows: The placement locations of RFID readers are randomly selected and recorded as candidates; The fitness of the initial placement position is calculated according to the fitness function, which is as follows: Where Fintess is the fitness, c is the total number of tags covered by the RFID reader in the candidate solution corresponding to the candidate, T is the number of RFID tags in the environment where the candidate is located, n is the number of RFID readers enabled in the candidate solution, N is the maximum number of RFID readers placed, and e is the number of RFID tags covered by multiple RFID readers; a placement position of the RFID reader selected according to the fitness, and arranging the RFID reader according to the placement position; The RFID tags on the charging pile components are identified by the RFID reader to obtain the cargo information.

3. The method for managing charging pile parts based on RFID and sensors according to claim 1, characterized in that: The step of determining the abnormal situation of the charging pile components according to the transportation information and sending the warning information according to the abnormal situation is specifically as follows: Use a three-axis acceleration sensor to monitor the real-time transportation information of charging pile parts in real time; Obtain standard transportation information when there is no abnormality in the charging pile parts; Compare the information similarity between real-time transportation information and standard transportation information. When the information similarity reaches the preset information similarity standard, determine that the transportation is abnormal; Acquire transportation abnormality data, determine the degree of failure of charging pile components based on the transportation abnormality data, and send early warning information based on the degree of failure.

4. A charging pile parts management method based on RFID and sensors according to claim 3, characterized in that: The steps of obtaining the abnormal transportation data, determining the degree of failure of the charging pile components according to the abnormal transportation data, and sending the warning information according to the degree of failure are specifically as follows: Establish reliability evaluation indicators and evaluate the reliability performance of charging pile components based on the reliability evaluation indicators; Establish recycling and reuse evaluation indicators, and evaluate the recycling performance of charging pile components based on the recycling and reuse evaluation indicators; Extract the indicators of reliability performance and recycling performance, perform consistency aggregation based on the indicators, and obtain the performance degree; Sorting is done according to performance, the corresponding fault degree of the charging pile components is obtained, and warning information is sent according to the fault degree.

5. A charging pile parts management method based on RFID and sensors according to claim 4, characterized in that: The steps of establishing the reliability evaluation index and evaluating the reliability performance of the charging pile components according to the reliability evaluation index are specifically as follows: The reliability evaluation index includes the probability level of failure mode occurrence, the severity level of impact, and the difficulty level of detection; The reliability evaluation indicators are classified, among which the probability level of failure mode occurrence is a quantitative indicator, and the impact severity level and detection difficulty level are qualitative indicators; The evaluation results of several experts on various reliability evaluation indicators of different charging pile components are obtained respectively to obtain the reliability performance of the charging pile components.

6. A charging pile parts management method based on RFID and sensors according to claim 4, characterized in that: The steps of establishing the recycling and reuse evaluation index and evaluating the recycling performance of the charging pile components according to the recycling and reuse evaluation index are specifically as follows: The recycling and reusability evaluation index includes disassembly difficulty, testing difficulty, market value and interchangeability; The evaluation indicators of recycling and reuse are classified, among which the difficulty of disassembly and market value are quantitative indicators, and the difficulty of testing and interchangeability are qualitative indicators; The evaluation results of several experts on various recycling and reuse evaluation indicators of different charging pile components are obtained respectively to obtain the recycling performance of the charging pile components.

7. A charging pile parts management method based on RFID and sensors according to claim 4, characterized in that: The step of extracting the indicators of reliability performance and recovery performance, performing consistency aggregation according to the indicators, and obtaining the performance degree is specifically as follows: Extract quantitative and qualitative indicators of reliability and recycling performance respectively; If there are u quantitative indicators (R1, R2, ..., R U ) and w qualitative indicators (Q1, Q2, ..., Q w ), and evaluate e evaluation objects (F1, F2, ..., F e ) to make decisions; Establish the initialization decision matrix X of quantitative indicators = (x ij ) e×u : Establish the initial decision matrix Y of qualitative indicators ij ) e×w : Substitute the initialization decision matrix of the quantitative indicators and the initialization decision matrix of the qualitative indicators into the decision model to obtain the performance index.

8. The method for managing charging pile parts based on RFID and sensors according to claim 4, characterized in that: The steps of sorting according to the performance degree, obtaining the fault degree corresponding to the charging pile components, and sending warning information according to the fault degree are specifically as follows: Set a fault degree threshold to determine whether the fault degree reaches the fault degree threshold. If the fault degree threshold is not reached, the detection result is determined to be normal. Automatically archive data and transport charging pile components to their destination; If the fault severity threshold is reached, an early warning message is sent according to the fault severity settings.

9. A charging pile parts management method based on RFID and sensors according to claim 8, characterized in that: If the fault level threshold is reached, the steps of sending warning information are set according to the fault level, specifically: Set different levels of warnings according to the severity of the fault and match the corresponding warning levels: Match the corresponding warning method from the preset warning methods according to the corresponding warning level; Generate early warning information based on the severity of the fault, and send the early warning information to the safety officer in the corresponding early warning method, waiting for the safety officer to handle it.

10. A charging pile parts management method based on RFID and sensors according to claim 9, characterized in that: The warning levels corresponding to the matches are: level one warning, the system records and archives; level two warning, the system sends a reminder to the person in charge; level three warning, the system directly deactivates the relevant components and triggers the emergency response mechanism.