Charging station grading operation and maintenance method and device based on semantics and multi-dimensional analysis

Abstract

The invention relates to the technical field of charging equipment operation and maintenance, and particularly provides a charging station grading operation and maintenance method and device based on semantic and multi-dimensional analysis, and the method comprises the steps: carrying out the grid division of a target region, and determining the service pressure grade of a grid to which each charging station belongs; determining the operation and maintenance evaluation score of each charging station based on the index value of the last-stage index of each charging station in the operation and maintenance evaluation index system; and making a charging station operation and maintenance strategy based on the service pressure grade and the operation and maintenance evaluation score of the grid to which each charging station belongs, and performing hierarchical operation and maintenance on each charging station by using the charging station operation and maintenance strategy. According to the technical scheme provided by the invention, grading evaluation and operation and maintenance strategy optimization of the charging station are realized, and technical support is provided for intelligent operation and maintenance of the station.

Description

Technical Field

[0001] This invention relates to the field of charging equipment operation and maintenance technology, specifically to a hierarchical operation and maintenance method and device for charging stations based on semantic and multi-dimensional analysis. Background Technology With the rapid development of the new energy vehicle industry, its ownership and charging demand are showing a sustained high-speed growth trend. Charging stations have entered a new stage of operation characterized by large-scale deployment and high-frequency service. Under high-load operation, the equipment failure rate has increased by 40% compared to the initial stage. The traditional operation and maintenance model of regular inspection and passive repair is no longer able to meet the needs of reliable equipment operation, plug-and-charge for users, and efficient resource allocation.

[0002] After large-scale deployment, charging stations exhibit wide coverage and multi-scenario characteristics. In some cities, the maintenance radius of a single area exceeds 50 kilometers, and the round-trip time for maintenance personnel to conduct inspections accounts for over 60% of the total time, resulting in low effective working time. This leads to high-load equipment not receiving necessary maintenance and low-load equipment undergoing excessive maintenance, creating a contradiction between dispersed maintenance scope and low resource efficiency. Simultaneously, charging station operation data, user charging data, and environmental data are scattered across different systems, lacking unified integration and analysis. This prevents maintenance personnel from predicting equipment failures and optimizing inspection plans, leading to decisions based on experience rather than data. Traditional maintenance level evaluation indicators are singular, neglecting the spatial correlation between charging stations and the transmission effect of regional service pressure. Furthermore, the diverse sources of charging station data result in measurement errors and underreporting issues.

[0003] Under the dual pressure of a surge in the number of devices and the frequency of use, the existing operation and maintenance model cannot meet the needs of efficient, accurate and proactive operation and maintenance, thus restricting the improvement of charging service quality. Summary of the Invention

[0004] To overcome the above-mentioned shortcomings, this invention proposes a hierarchical operation and maintenance method and device for charging stations based on semantic and multi-dimensional analysis.

[0005] Firstly, a hierarchical operation and maintenance method for charging stations based on semantic and multi-dimensional analysis is provided, the method comprising: The target area is divided into grids, and the service pressure level of each charging station's grid is determined. The operation and maintenance evaluation score of each charging station is determined based on the index value of the last-level index in the operation and maintenance evaluation index system. Based on the service pressure level and operation and maintenance evaluation score of each charging station's grid, an operation and maintenance strategy for each charging station is formulated, and the operation and maintenance strategy is used to carry out hierarchical operation and maintenance of each charging station.

[0006] Preferably, determining the service pressure level of the grid to which each charging station belongs includes: Obtain the characteristic standard values ​​of charging stations within each grid, and determine the comprehensive service pressure index of each grid based on the characteristic standard values ​​of charging stations within each grid; Based on the comprehensive service pressure index of each grid, each grid is clustered and divided to obtain the service pressure level of each grid; The characteristics of the charging stations within the grid include at least one of the following: average number of repair requests per charging station, average number of work orders calculated per station, average monthly charging volume, and average simultaneous charging station rate.

[0007] Furthermore, the characteristic standard values ​​of the charging stations within the grid are as follows:

[0008] In the above formula, Let j be the standard value corresponding to the feature j of the charging station within grid k. Let j be the mean value corresponding to the feature j of the charging station within grid k. Let j be the mean value corresponding to feature j of all charging stations within the grid. Let be the standard deviation of feature j of all charging stations within the grid.

[0009] Furthermore, the overall service pressure index of the grid is as follows:

[0010] In the above formula, The overall service pressure index for grid k. The number of characteristic types of charging stations. Let be the weight corresponding to feature j of the charging station.

[0011] Furthermore, the clustering of each grid based on the comprehensive service pressure index of each grid includes: When grid k meets the high-pressure condition and the number of grids meeting the high-pressure condition exceeds the preset density threshold, grid k is determined to be a high-pressure grid. When grid k satisfies the low-pressure condition and the number of grids satisfying the low-pressure condition exceeds a preset density threshold, grid k is determined to be a low-pressure grid. When grid k satisfies the medium pressure condition, grid k is determined to be a medium pressure grid; The high-pressure condition is as follows: The low pressure condition is The medium pressure condition is , The average comprehensive service pressure index for all grids. Standard deviation of the comprehensive service stress index for all grids.

[0012] Preferably, the operation and maintenance evaluation index system is a two-level status evaluation system. The first-level index includes at least one of the following: location index, customer demand index, operation index, and equipment status analysis index. The second-level indexes corresponding to the location index include: important area description index of the charging station, distance from the local city center index, and distance from the target city center index. The second-level indexes corresponding to the customer demand index include: number of customer repair requests index, customer consultation and complaint index, and surrounding service pressure index. The second-level indexes corresponding to the operation index include: annual average monthly charging volume index and maximum simultaneous charging rate index of the charging station. The second-level indexes corresponding to the equipment status analysis index include: health index of core components of the charging station, probability index of charging station fault warning, and communication stability index.

[0013] Preferably, the operation and maintenance evaluation score of the charging station is as follows:

[0014] In the above formula, Let X be the operation and maintenance evaluation score of the charging station, X be the set of index values ​​for the final-level indicator, and U be the polyhedral uncertainty set corresponding to the set of index values ​​for the final-level indicator. Let be the value of the i-th final-level indicator. Let be the weight coefficient of the i-th final-level indicator, and I be the number of final-level indicators.

[0015] Furthermore, the weight coefficients of the primary indicators are determined using the analytic hierarchy process (AHP), and the weight coefficients of the secondary indicators are determined using the entropy method.

[0016] Furthermore, the step of formulating charging station operation and maintenance strategies based on the service pressure level and operation and maintenance evaluation score of each charging station's grid includes: The robustness level of operation and maintenance of each charging station is determined based on its operation and maintenance evaluation score. The operation and maintenance strategy for each charging station is formulated based on the service pressure level of the grid to which each charging station belongs and the robust operation and maintenance level of each charging station.

[0017] Furthermore, the determination of the robust operation and maintenance level of each charging station based on its operation and maintenance evaluation score includes: When the operation and maintenance evaluation score of a charging station exceeds 80, the robust operation and maintenance level of the charging station is Level 1. When the operation and maintenance evaluation score of the charging station is in the range of [60, 80], the robust operation and maintenance level of the charging station is Level 2. When the operation and maintenance evaluation score of a charging station is less than 60, the robust operation and maintenance level of the charging station is level three.

[0018] Furthermore, the charging station operation and maintenance strategy is formulated based on the service pressure level of the grid to which each charging station belongs and the robust operation and maintenance level of each charging station, including: When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to be once every 3 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to be once every 4 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to once every 5 days. When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 5 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 7 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 10 days. When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station shall be set to once every 7 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station is set to be once every 14 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station is set to once every 20 days.

[0019] Secondly, a hierarchical operation and maintenance device for charging stations based on semantic and multi-dimensional analysis is provided, the device comprising: The first determination module is used to divide the target area into grids and determine the service pressure level of each charging station's grid. The second determining module is used to determine the operation and maintenance evaluation score of each charging station based on the index value of the last-level index in the operation and maintenance evaluation index system. The operation and maintenance module is used to formulate operation and maintenance strategies for each charging station based on the service pressure level and operation and maintenance evaluation score of the grid to which each charging station belongs, and to use the operation and maintenance strategies to perform hierarchical operation and maintenance on each charging station.

[0020] Preferably, determining the service pressure level of the grid to which each charging station belongs includes: Obtain the characteristic standard values ​​of charging stations within each grid, and determine the comprehensive service pressure index of each grid based on the characteristic standard values ​​of charging stations within each grid; Based on the comprehensive service pressure index of each grid, each grid is clustered and divided to obtain the service pressure level of each grid; The characteristics of the charging stations within the grid include at least one of the following: average number of repair requests per charging station, average number of work orders calculated per station, average monthly charging volume, and average simultaneous charging station rate.

[0021] Furthermore, the characteristic standard values ​​of the charging stations within the grid are as follows:

[0022] In the above formula, Let j be the standard value corresponding to the feature j of the charging station within grid k. Let j be the mean value corresponding to the feature j of the charging station within grid k. Let j be the mean value corresponding to feature j of all charging stations within the grid. Let be the standard deviation of feature j of all charging stations within the grid.

[0023] Furthermore, the overall service pressure index of the grid is as follows:

[0024] In the above formula, The overall service pressure index for grid k. The number of characteristic types of charging stations. Let be the weight corresponding to feature j of the charging station.

[0025] Furthermore, the clustering of each grid based on the comprehensive service pressure index of each grid includes: When grid k meets the high-pressure condition and the number of grids meeting the high-pressure condition exceeds the preset density threshold, grid k is determined to be a high-pressure grid. When grid k satisfies the low-pressure condition and the number of grids satisfying the low-pressure condition exceeds a preset density threshold, grid k is determined to be a low-pressure grid. When grid k satisfies the medium pressure condition, grid k is determined to be a medium pressure grid; The high-pressure condition is as follows: The low pressure condition is The medium pressure condition is , The average comprehensive service pressure index for all grids. Standard deviation of the comprehensive service stress index for all grids.

[0026] Preferably, the operation and maintenance evaluation index system is a two-level status evaluation system. The first-level index includes at least one of the following: location index, customer demand index, operation index, and equipment status analysis index. The second-level indexes corresponding to the location index include: important area description index of the charging station, distance from the local city center index, and distance from the target city center index. The second-level indexes corresponding to the customer demand index include: number of customer repair requests index, customer consultation and complaint index, and surrounding service pressure index. The second-level indexes corresponding to the operation index include: annual average monthly charging volume index and maximum simultaneous charging rate index of the charging station. The second-level indexes corresponding to the equipment status analysis index include: health index of core components of the charging station, probability index of charging station fault warning, and communication stability index.

[0027] Preferably, the operation and maintenance evaluation score of the charging station is as follows:

[0028] In the above formula, Let X be the operation and maintenance evaluation score of the charging station, X be the set of index values ​​for the final-level indicator, and U be the polyhedral uncertainty set corresponding to the set of index values ​​for the final-level indicator. Let be the value of the i-th final-level indicator. Let be the weight coefficient of the i-th final-level indicator, and I be the number of final-level indicators.

[0029] Furthermore, the weight coefficients of the primary indicators are determined using the analytic hierarchy process (AHP), and the weight coefficients of the secondary indicators are determined using the entropy method.

[0030] Furthermore, the step of formulating charging station operation and maintenance strategies based on the service pressure level and operation and maintenance evaluation score of each charging station's grid includes: The robustness level of operation and maintenance of each charging station is determined based on its operation and maintenance evaluation score. The operation and maintenance strategy for each charging station is formulated based on the service pressure level of the grid to which each charging station belongs and the robust operation and maintenance level of each charging station.

[0031] Furthermore, the determination of the robust operation and maintenance level of each charging station based on its operation and maintenance evaluation score includes: When the operation and maintenance evaluation score of a charging station exceeds 80, the robust operation and maintenance level of the charging station is Level 1. When the operation and maintenance evaluation score of the charging station is in the range of [60, 80], the robust operation and maintenance level of the charging station is Level 2. When the operation and maintenance evaluation score of a charging station is less than 60, the robust operation and maintenance level of the charging station is level three.

[0032] Furthermore, the charging station operation and maintenance strategy is formulated based on the service pressure level of the grid to which each charging station belongs and the robust operation and maintenance level of each charging station, including: When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to be once every 3 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to be once every 4 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to once every 5 days. When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 5 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 7 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 10 days. When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station shall be set to once every 7 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station is set to be once every 14 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station is set to once every 20 days.

[0033] Thirdly, a computer device is provided, comprising: one or more processors; The processor is used to execute one or more programs; When the one or more programs are executed by the one or more processors, the hierarchical operation and maintenance method for charging stations based on semantic and multi-dimensional analysis is implemented.

[0034] Fourthly, a computer-readable storage medium is provided, on which a computer program is stored, wherein when the computer program is executed, the described hierarchical operation and maintenance method for charging stations based on semantic and multi-dimensional analysis is implemented.

[0035] The above-described technical solutions of the present invention have at least one or more of the following beneficial effects: This invention provides a hierarchical operation and maintenance method and apparatus for charging stations based on semantic and multi-dimensional analysis. The method includes: dividing a target area into grids and determining the service pressure level of each charging station's grid; determining the operation and maintenance evaluation score of each charging station based on the index value of the lowest-level indicator in the operation and maintenance evaluation index system; formulating a charging station operation and maintenance strategy based on the service pressure level and operation and maintenance evaluation score of each charging station's grid; and using this strategy to perform hierarchical operation and maintenance on each charging station. The technical solution provided by this invention enables hierarchical evaluation and operation and maintenance strategy optimization of charging stations, providing technical support for intelligent operation and maintenance of charging stations. Attached Figure Description

[0036] Figure 1 This is a schematic diagram of the main steps of the hierarchical operation and maintenance method for charging stations based on semantic and multi-dimensional analysis according to an embodiment of the present invention. Detailed Implementation

[0037] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0038] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0039] Example 1 See appendix Figure 1 , Figure 1 This is a schematic diagram illustrating the main steps of a hierarchical operation and maintenance method for charging stations based on semantic and multi-dimensional analysis, according to an embodiment of the present invention. Figure 1 As shown, the hierarchical operation and maintenance method for charging stations based on semantic and multi-dimensional analysis in this embodiment of the invention mainly includes the following steps: Step S101: Divide the target area into grids and determine the service pressure level of each charging station's grid; Step S102: Determine the operation and maintenance evaluation score of each charging station based on the index value of the last-level index in the operation and maintenance evaluation index system. Step S103: Formulate a charging station operation and maintenance strategy based on the service pressure level and operation and maintenance evaluation score of the grid to which each charging station belongs, and use the charging station operation and maintenance strategy to carry out hierarchical operation and maintenance of each charging station.

[0040] In this embodiment, determining the service pressure level of the grid to which each charging station belongs includes: Obtain the characteristic standard values ​​of charging stations within each grid, and determine the comprehensive service pressure index of each grid based on the characteristic standard values ​​of charging stations within each grid; Based on the comprehensive service pressure index of each grid, each grid is clustered and divided to obtain the service pressure level of each grid; The characteristics of the charging stations within the grid include at least one of the following: average number of repair requests per charging station, average number of work orders calculated per station, average monthly charging volume, and average simultaneous charging station rate.

[0041] In one implementation, the characteristic standard values ​​of the charging stations within the grid are as follows:

[0042] In the above formula, Let j be the standard value corresponding to the feature j of the charging station within grid k. Let j be the mean value corresponding to the feature j of the charging station within grid k. Let j be the mean value corresponding to feature j of all charging stations within the grid. Let be the standard deviation of feature j of all charging stations within the grid.

[0043] In one implementation, the overall service pressure index of the grid is as follows:

[0044] In the above formula, The overall service pressure index for grid k. The number of characteristic types of charging stations. Let be the weight corresponding to feature j of the charging station.

[0045] In one implementation, the clustering of each grid based on the comprehensive service pressure index of each grid includes: When grid k meets the high-pressure condition and the number of grids meeting the high-pressure condition exceeds the preset density threshold, grid k is determined to be a high-pressure grid. When grid k satisfies the low-pressure condition and the number of grids satisfying the low-pressure condition exceeds a preset density threshold, grid k is determined to be a low-pressure grid. When grid k satisfies the medium pressure condition, grid k is determined to be a medium pressure grid; The high-pressure condition is as follows: The low pressure condition is The medium pressure condition is , The average comprehensive service pressure index for all grids. Standard deviation of the comprehensive service stress index for all grids.

[0046] In this embodiment, the operation and maintenance evaluation index system is a two-level status evaluation system. The primary index includes at least one of the following: location index, customer demand index, operation index, and equipment status analysis index. The secondary indexes corresponding to the location index include: charging station important area description index, distance from local city center index, and distance from target city center index. The secondary indexes corresponding to the customer demand index include: customer repair frequency index, customer consultation and complaint index, and surrounding service pressure index. The secondary indexes corresponding to the operation index include: annual average monthly charging volume index and charging station maximum simultaneous rate index. The secondary indexes corresponding to the equipment status analysis index include: charging station core component health index, charging station fault warning probability index, and communication stability index.

[0047] In one specific implementation, multi-source data, including data from the e-charging platform, customer service records, and WeChat official account monitoring of charging equipment operation, is acquired through a standard interface to construct a charging equipment operation status dataset. This dataset includes: transaction serial number, charging equipment number, vehicle VIN code, transaction termination reason, charging start and end times, and charging amount from the charging order information; voltage, current, and power during the charging process, as well as millisecond-level waveform recordings; customer service record text; ambient temperature and humidity; season; and charging equipment's operating years, manufacturer information, and operating location.

[0048] Based on multi-source data, an operation and maintenance evaluation index system is constructed, which specifically includes: location indicators, customer demand indicators, operational indicators, and equipment status analysis indicators. Among them, location indicators include indicators describing important areas of the charging station, distance from the local city center, and distance from the target city center; customer demand indicators include indicators of the number of customer repair requests, customer inquiries and complaints, and surrounding service pressure; operational indicators include annual average monthly charging volume and maximum simultaneous charging rate of charging piles; equipment status analysis indicators include health indicators of core components of charging piles, probability indicators of charging pile fault warnings, and communication stability indicators.

[0049] Based on semantic model recognition of customer service record text information, keywords are automatically extracted and structured data samples are constructed by controlling generation parameters and prompt words. Specifically, this includes a customer repair report frequency indicator, where the semantic model automatically identifies repair reports in the text, groups and counts monthly repair reports by charging station name, and generates monthly sample data for this indicator; and a customer inquiry and complaint indicator, which identifies inquiry and complaint records, calculates work orders according to rules, and generates sample data for this indicator. The specific operation and maintenance evaluation indicator system is shown in Table 1.

[0050] Table 1

[0051] In this embodiment, the operation and maintenance evaluation score of the charging station is as follows:

[0052] In the above formula, Let X be the operation and maintenance evaluation score of the charging station, X be the set of index values ​​for the final-level indicator, and U be the polyhedral uncertainty set corresponding to the set of index values ​​for the final-level indicator. Let be the value of the i-th final-level indicator. Let be the weight coefficient of the i-th final-level indicator, and I be the number of final-level indicators.

[0053] In one implementation, the weight coefficients of the primary indicators are determined using the analytic hierarchy process (AHP), and the weight coefficients of the secondary indicators are determined using the entropy method.

[0054] In one implementation, the step of formulating a charging station operation and maintenance strategy based on the service pressure level and operation and maintenance evaluation score of the grid to which each charging station belongs includes: The robustness level of operation and maintenance of each charging station is determined based on its operation and maintenance evaluation score. The operation and maintenance strategy for each charging station is formulated based on the service pressure level of the grid to which each charging station belongs and the robust operation and maintenance level of each charging station.

[0055] In one implementation, determining the robust operation and maintenance level of each charging station based on its operation and maintenance evaluation score includes: When the operation and maintenance evaluation score of a charging station exceeds 80, the robust operation and maintenance level of the charging station is Level 1. When the operation and maintenance evaluation score of the charging station is in the range of [60, 80], the robust operation and maintenance level of the charging station is Level 2. When the operation and maintenance evaluation score of a charging station is less than 60, the robust operation and maintenance level of the charging station is level three.

[0056] In one implementation, the step of formulating charging station operation and maintenance strategies based on the service pressure level of the grid to which each charging station belongs and the robust operation and maintenance level of each charging station includes: When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to be once every 3 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to be once every 4 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to once every 5 days. When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 5 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 7 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 10 days. When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station shall be set to once every 7 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station is set to be once every 14 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station is set to once every 20 days.

[0057] In one specific implementation, the charging station operation and maintenance strategy is shown in Table 2: Table 2

[0058] Example 2 Based on the same inventive concept, this invention also provides a hierarchical operation and maintenance device for charging stations based on semantic and multi-dimensional analysis, the hierarchical operation and maintenance device for charging stations based on semantic and multi-dimensional analysis comprising: The first determination module is used to divide the target area into grids and determine the service pressure level of each charging station's grid. The second determining module is used to determine the operation and maintenance evaluation score of each charging station based on the index value of the last-level index in the operation and maintenance evaluation index system. The operation and maintenance module is used to formulate operation and maintenance strategies for each charging station based on the service pressure level and operation and maintenance evaluation score of the grid to which each charging station belongs, and to use the operation and maintenance strategies to perform hierarchical operation and maintenance on each charging station.

[0059] Preferably, determining the service pressure level of the grid to which each charging station belongs includes: Obtain the characteristic standard values ​​of charging stations within each grid, and determine the comprehensive service pressure index of each grid based on the characteristic standard values ​​of charging stations within each grid; Based on the comprehensive service pressure index of each grid, each grid is clustered and divided to obtain the service pressure level of each grid; The characteristics of the charging stations within the grid include at least one of the following: average number of repair requests per charging station, average number of work orders calculated per station, average monthly charging volume, and average simultaneous charging station rate.

[0060] Furthermore, the characteristic standard values ​​of the charging stations within the grid are as follows:

[0061] In the above formula, Let j be the standard value corresponding to the feature j of the charging station within grid k. Let j be the mean value corresponding to the feature j of the charging station within grid k. Let j be the mean value corresponding to feature j of all charging stations within the grid. Let be the standard deviation of feature j of all charging stations within the grid.

[0062] Furthermore, the overall service pressure index of the grid is as follows:

[0063] In the above formula, The overall service pressure index for grid k. The number of characteristic types of charging stations. Let be the weight corresponding to feature j of the charging station.

[0064] Furthermore, the clustering of each grid based on the comprehensive service pressure index of each grid includes: When grid k meets the high-pressure condition and the number of grids meeting the high-pressure condition exceeds the preset density threshold, grid k is determined to be a high-pressure grid. When grid k satisfies the low-pressure condition and the number of grids satisfying the low-pressure condition exceeds a preset density threshold, grid k is determined to be a low-pressure grid. When grid k satisfies the medium pressure condition, grid k is determined to be a medium pressure grid; The high-pressure condition is as follows: The low pressure condition is The medium pressure condition is , The average comprehensive service pressure index for all grids. Standard deviation of the comprehensive service stress index for all grids.

[0065] Preferably, the operation and maintenance evaluation index system is a two-level status evaluation system. The first-level index includes at least one of the following: location index, customer demand index, operation index, and equipment status analysis index. The second-level indexes corresponding to the location index include: important area description index of the charging station, distance from the local city center index, and distance from the target city center index. The second-level indexes corresponding to the customer demand index include: number of customer repair requests index, customer consultation and complaint index, and surrounding service pressure index. The second-level indexes corresponding to the operation index include: annual average monthly charging volume index and maximum simultaneous charging rate index of the charging station. The second-level indexes corresponding to the equipment status analysis index include: health index of core components of the charging station, probability index of charging station fault warning, and communication stability index.

[0066] Preferably, the operation and maintenance evaluation score of the charging station is as follows:

[0067] In the above formula, Let X be the operation and maintenance evaluation score of the charging station, X be the set of index values ​​for the final-level indicator, and U be the polyhedral uncertainty set corresponding to the set of index values ​​for the final-level indicator. Let be the value of the i-th final-level indicator. Let be the weight coefficient of the i-th final-level indicator, and I be the number of final-level indicators.

[0068] Furthermore, the weight coefficients of the primary indicators are determined using the analytic hierarchy process (AHP), and the weight coefficients of the secondary indicators are determined using the entropy method.

[0069] Furthermore, the step of formulating charging station operation and maintenance strategies based on the service pressure level and operation and maintenance evaluation score of each charging station's grid includes: The robustness level of operation and maintenance of each charging station is determined based on its operation and maintenance evaluation score. The operation and maintenance strategy for each charging station is formulated based on the service pressure level of the grid to which each charging station belongs and the robust operation and maintenance level of each charging station.

[0070] Furthermore, the determination of the robust operation and maintenance level of each charging station based on its operation and maintenance evaluation score includes: When the operation and maintenance evaluation score of a charging station exceeds 80, the robust operation and maintenance level of the charging station is Level 1. When the operation and maintenance evaluation score of the charging station is in the range of [60, 80], the robust operation and maintenance level of the charging station is Level 2. When the operation and maintenance evaluation score of a charging station is less than 60, the robust operation and maintenance level of the charging station is level three.

[0071] Furthermore, the charging station operation and maintenance strategy is formulated based on the service pressure level of the grid to which each charging station belongs and the robust operation and maintenance level of each charging station, including: When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to be once every 3 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to be once every 4 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to once every 5 days. When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 5 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 7 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 10 days. When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station shall be set to once every 7 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station is set to be once every 14 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station is set to once every 20 days.

[0072] Example 3 Based on the same inventive concept, this invention also provides a computer device, which includes a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement corresponding method flows or corresponding functions, thereby realizing the steps of the hierarchical operation and maintenance method for charging stations based on semantic and multi-dimensional analysis in the above embodiments.

[0073] Example 4 Based on the same inventive concept, this invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the hierarchical operation and maintenance method for charging stations based on semantic and multi-dimensional analysis in the above embodiments.

[0074] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can 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, etc.) containing computer-usable program code.

[0075] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can 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, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0076] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0077] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0078] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A hierarchical operation and maintenance method for charging stations based on semantic and multi-dimensional analysis, characterized in that, The method includes: The target area is divided into grids, and the service pressure level of each charging station's grid is determined. The operation and maintenance evaluation score of each charging station is determined based on the index value of the last-level index in the operation and maintenance evaluation index system. Based on the service pressure level and operation and maintenance evaluation score of each charging station's grid, an operation and maintenance strategy for each charging station is formulated, and the operation and maintenance strategy is used to carry out hierarchical operation and maintenance of each charging station.

2. The method as described in claim 1, characterized in that, Determining the service pressure level of each charging station's grid includes: Obtain the characteristic standard values ​​of charging stations within each grid, and determine the comprehensive service pressure index of each grid based on the characteristic standard values ​​of charging stations within each grid; Based on the comprehensive service pressure index of each grid, each grid is clustered and divided to obtain the service pressure level of each grid; The characteristics of the charging stations within the grid include at least one of the following: average number of repair requests per charging station, average number of work orders calculated per station, average monthly charging volume, and average simultaneous charging station rate.

3. The method as described in claim 2, characterized in that, The characteristic standard values ​​of the charging stations within the grid are as follows: In the above formula, Let j be the standard value corresponding to the feature j of the charging station within grid k. Let j be the mean value corresponding to the feature j of the charging station within grid k. Let j be the mean value corresponding to feature j of all charging stations within the grid. Let be the standard deviation of feature j of all charging stations within the grid.

4. The method as described in claim 3, characterized in that, The overall service pressure index of the grid is as follows: In the above formula, The overall service pressure index for grid k. The number of characteristic types of charging stations. Let be the weight corresponding to feature j of the charging station.

5. The method as described in claim 4, characterized in that, The clustering of each grid based on the comprehensive service pressure index of each grid includes: When grid k meets the high-pressure condition and the number of grids meeting the high-pressure condition exceeds the preset density threshold, grid k is determined to be a high-pressure grid. When grid k satisfies the low-pressure condition and the number of grids satisfying the low-pressure condition exceeds a preset density threshold, grid k is determined to be a low-pressure grid. When grid k satisfies the medium pressure condition, grid k is determined to be a medium pressure grid; The high-pressure condition is as follows: The low pressure condition is The medium pressure condition is , The average comprehensive service pressure index for all grids. Standard deviation of the comprehensive service stress index for all grids.

6. The method as described in claim 1, characterized in that, The aforementioned operation and maintenance evaluation index system is a two-level status evaluation system. The primary indicators include at least one of the following: location indicators, customer demand indicators, operational indicators, and equipment status analysis indicators. The secondary indicators corresponding to the location indicators include: charging station important area description indicators, distance from the local city center indicators, and distance from the target city center indicators. The secondary indicators corresponding to the customer demand indicators include: customer repair frequency indicators, customer inquiries and complaints indicators, and surrounding service pressure indicators. The secondary indicators corresponding to the operational indicators include: annual average monthly charging volume indicators and maximum simultaneous charging rate indicators for charging stations. The secondary indicators corresponding to the equipment status analysis indicators include: charging station core component health indicators, charging station fault warning probability indicators, and communication stability indicators.

7. The method as described in claim 1, characterized in that, The operation and maintenance evaluation scores for the charging stations are as follows: In the above formula, Let X be the operation and maintenance evaluation score of the charging station, X be the set of index values ​​for the final-level indicator, and U be the polyhedral uncertainty set corresponding to the set of index values ​​for the final-level indicator. Let be the value of the i-th final-level indicator. Let be the weight coefficient of the i-th final-level indicator, and I be the number of final-level indicators.

8. The method as described in claim 6, characterized in that, The weight coefficients of the primary indicators are determined using the analytic hierarchy process (AHP), and the weight coefficients of the secondary indicators are determined using the entropy method.

9. The method as described in claim 2, characterized in that, The charging station operation and maintenance strategy is formulated based on the service pressure level and operation and maintenance evaluation score of the grid to which each charging station belongs, including: The robustness level of operation and maintenance of each charging station is determined based on its operation and maintenance evaluation score. The operation and maintenance strategy for each charging station is formulated based on the service pressure level of the grid to which each charging station belongs and the robust operation and maintenance level of each charging station.

10. The method as described in claim 9, characterized in that, The robustness level of operation and maintenance for each charging station, determined based on its operation and maintenance evaluation score, includes: When the operation and maintenance evaluation score of a charging station exceeds 80, the robust operation and maintenance level of the charging station is Level 1. When the operation and maintenance evaluation score of the charging station is in the range of [60, 80], the robust operation and maintenance level of the charging station is Level 2. When the operation and maintenance evaluation score of a charging station is less than 60, the robust operation and maintenance level of the charging station is level three.

11. The method as described in claim 10, characterized in that, The charging station operation and maintenance strategy is formulated based on the service pressure level of the grid to which each charging station belongs and the robust operation and maintenance level of each charging station, including: When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to be once every 3 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to be once every 4 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to once every 5 days. When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 5 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 7 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 10 days. When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station shall be set to once every 7 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station is set to be once every 14 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station is set to once every 20 days.

12. A hierarchical operation and maintenance device for charging stations based on semantic and multi-dimensional analysis, characterized in that, The device includes: The first determination module is used to divide the target area into grids and determine the service pressure level of each charging station's grid. The second determining module is used to determine the operation and maintenance evaluation score of each charging station based on the index value of the last-level index in the operation and maintenance evaluation index system. The operation and maintenance module is used to formulate operation and maintenance strategies for each charging station based on the service pressure level and operation and maintenance evaluation score of the grid to which each charging station belongs, and to use the operation and maintenance strategies to perform hierarchical operation and maintenance on each charging station.

13. The apparatus as claimed in claim 12, characterized in that, Determining the service pressure level of each charging station's grid includes: Obtain the characteristic standard values ​​of charging stations within each grid, and determine the comprehensive service pressure index of each grid based on the characteristic standard values ​​of charging stations within each grid; Based on the comprehensive service pressure index of each grid, each grid is clustered and divided to obtain the service pressure level of each grid; The characteristics of the charging stations within the grid include at least one of the following: average number of repair requests per charging station, average number of work orders calculated per station, average monthly charging volume, and average simultaneous charging station rate.

14. The apparatus as claimed in claim 13, characterized in that, The characteristic standard values ​​of the charging stations within the grid are as follows: In the above formula, Let j be the standard value corresponding to the feature j of the charging station within grid k. Let j be the mean value corresponding to the feature j of the charging station within grid k. Let j be the mean value corresponding to feature j of all charging stations within the grid. Let be the standard deviation of feature j of all charging stations within the grid.

15. The apparatus as claimed in claim 14, characterized in that, The overall service pressure index of the grid is as follows: In the above formula, The overall service pressure index for grid k. The number of characteristic types of charging stations. Let be the weight corresponding to feature j of the charging station.

16. The apparatus as claimed in claim 15, characterized in that, The clustering of each grid based on the comprehensive service pressure index of each grid includes: When grid k meets the high-pressure condition and the number of grids meeting the high-pressure condition exceeds the preset density threshold, grid k is determined to be a high-pressure grid. When grid k satisfies the low-pressure condition and the number of grids satisfying the low-pressure condition exceeds a preset density threshold, grid k is determined to be a low-pressure grid. When grid k satisfies the medium pressure condition, grid k is determined to be a medium pressure grid; The high-pressure condition is as follows: The low pressure condition is The medium pressure condition is , The average comprehensive service pressure index for all grids. Standard deviation of the comprehensive service stress index for all grids.

17. The apparatus as claimed in claim 12, characterized in that, The aforementioned operation and maintenance evaluation index system is a two-level status evaluation system. The primary indicators include at least one of the following: location indicators, customer demand indicators, operational indicators, and equipment status analysis indicators. The secondary indicators corresponding to the location indicators include: charging station important area description indicators, distance from the local city center indicators, and distance from the target city center indicators. The secondary indicators corresponding to the customer demand indicators include: customer repair frequency indicators, customer inquiries and complaints indicators, and surrounding service pressure indicators. The secondary indicators corresponding to the operational indicators include: annual average monthly charging volume indicators and maximum simultaneous charging rate indicators for charging stations. The secondary indicators corresponding to the equipment status analysis indicators include: charging station core component health indicators, charging station fault warning probability indicators, and communication stability indicators.

18. The apparatus as claimed in claim 12, characterized in that, The operation and maintenance evaluation scores for the charging stations are as follows: In the above formula, Let X be the operation and maintenance evaluation score of the charging station, X be the set of index values ​​for the final-level indicator, and U be the polyhedral uncertainty set corresponding to the set of index values ​​for the final-level indicator. Let be the value of the i-th final-level indicator. Let be the weight coefficient of the i-th final-level indicator, and I be the number of final-level indicators.

19. The apparatus as claimed in claim 17, characterized in that, The weight coefficients of the primary indicators are determined using the analytic hierarchy process (AHP), and the weight coefficients of the secondary indicators are determined using the entropy method.

20. The apparatus as claimed in claim 14, characterized in that, The charging station operation and maintenance strategy is formulated based on the service pressure level and operation and maintenance evaluation score of the grid to which each charging station belongs, including: The robustness level of operation and maintenance of each charging station is determined based on its operation and maintenance evaluation score. The operation and maintenance strategy for each charging station is formulated based on the service pressure level of the grid to which each charging station belongs and the robust operation and maintenance level of each charging station.

21. The apparatus as claimed in claim 20, characterized in that, The robustness level of operation and maintenance for each charging station, determined based on its operation and maintenance evaluation score, includes: When the operation and maintenance evaluation score of a charging station exceeds 80, the robust operation and maintenance level of the charging station is Level 1. When the operation and maintenance evaluation score of the charging station is in the range of [60, 80], the robust operation and maintenance level of the charging station is Level 2. When the operation and maintenance evaluation score of a charging station is less than 60, the robust operation and maintenance level of the charging station is level three.

22. The apparatus as claimed in claim 21, characterized in that, The charging station operation and maintenance strategy is formulated based on the service pressure level of the grid to which each charging station belongs and the robust operation and maintenance level of each charging station, including: When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to be once every 3 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to be once every 4 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level one, the operation and maintenance inspection cycle of the charging station is set to once every 5 days. When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 5 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 7 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level 2, the operation and maintenance inspection cycle of the charging station is set to once every 10 days. When the service pressure level of the grid to which the charging station belongs is a high-pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station shall be set to once every 7 days. When the service pressure level of the grid to which the charging station belongs is a medium pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station is set to be once every 14 days. When the service pressure level of the grid to which the charging station belongs is a low-pressure grid and the robust operation and maintenance level of the charging station is level three, the operation and maintenance inspection cycle of the charging station is set to once every 20 days.

23. A computer device, characterized in that, include: One or more processors; The processor is used to execute one or more programs; When the one or more programs are executed by the one or more processors, the hierarchical operation and maintenance method for charging stations based on semantic and multi-dimensional analysis as described in any one of claims 1 to 11 is implemented.

24. A computer-readable storage medium, characterized in that, It contains a computer program, which, when executed, implements the hierarchical operation and maintenance method for charging stations based on semantic and multi-dimensional analysis as described in any one of claims 1 to 11.

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