Charging pile operation state evaluation method and system

Abstract

The invention discloses a charging pile operation state evaluation method and system, and the method comprises the following steps: S1, building a cross-source data integration library based on the operation state sample data of a charging pile, S2, carrying out the layering processing of the cross-source data integration library, S3, carrying out the segmentation processing of a charging pile cross-source data set, and S4, carrying out the evaluation of the operation state of the charging pile. Calculating the fatigue degree of the cross-source data set of the charging pile according to the cross-source data integration library, and marking when the fatigue degree exceeds a fatigue degree threshold value; s5, for the marked charging pile cross-source data set, the sensitivity of the charging pile cross-source data set is calculated according to the cross-source data integration library, and when the sensitivity exceeds a sensitivity threshold value, marking is carried out; s6, the fatigue degrees and the acuity degrees of all the charging piles in the charging pile cross-source data set are calculated independently, when the specific fatigue degree and the specific acuity degree exceed threshold values, marking is carried out, and the evaluation grade is improved; the normal operation state of the charging pile can be ensured to the maximum extent, the monitoring efficiency can be improved, and the computing power consumption is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of charging pile detection, and more specifically to a charging pile operation status evaluation method and system. Background Art

[0002] According to the charging method, charging piles can be divided into DC charging piles, AC charging piles and AC / DC integrated charging piles. At the same time, in the "Energy Industry Standard of the People's Republic of China NB / T 10905-2021" issued by the National Energy Administration, the fault classification and code of electric vehicle charging facilities detailedly lists the fault classification rules and fault coding rules.

[0003] During the use of charging piles, a charging behavior will go through many links and involve many uncontrollable fault factors. For example, in the AC charging pile fault classification alone, there are AC input faults, AC output faults, AC switching device faults, charging connection device faults, temperature faults, configuration faults, communication faults, human-computer interaction faults, and vehicle-pile interaction faults, etc. Any link in the entire charging chain may cause failures and result in a poor charging experience for users.

[0004] As the country continues to promote new energy vehicle policies and residents' lives continue to improve, the number of charging piles is also increasing rapidly. Due to the increasing number of charging piles, the detection and evaluation of the operating status of charging piles in the existing technology requires more and more computing power, which also leads to a slower detection and evaluation operation speed, resulting in untimely evaluation of the operating status of charging piles and a corresponding increase in the probability of potential failures. Summary of the invention

[0005] In order to solve the above problems and overcome the deficiencies of the prior art, the present invention provides a charging pile operation status evaluation method and system.

[0006] To achieve the above object, the present invention provides a charging pile operation status evaluation method, comprising the following steps: S1, construct a cross-source data integration library based on the charging pile operation status sample data, wherein the cross-source data integration library simultaneously integrates multiple DC charging pile operation status databases, multiple AC charging pile operation status databases, and multiple AC / DC integrated charging pile operation status databases, wherein the charging pile operation status sample data includes charging pile layout coordinates, charging pile charging times, charging pile single charging time, charging pile total charging time, total electric energy meter power data, and sub-electric energy meter power data; S2, hierarchical processing is performed on the cross-source data integration library, wherein the hierarchical processing strategy includes grid division and grid numbering according to the latitude and longitude of the regional map, and then mapping the charging piles to the grid numbers of the region where they are located according to the charging pile layout coordinates and charging pile numbers in the cross-source data integration library, and then establishing a charging pile cross-source data set corresponding to the grid numbers; S3, performing segmentation processing on the charging pile cross-source data set, wherein the segmentation processing strategy includes assigning district numbers according to the district characteristics of the regional map, and then mapping the charging piles to the district numbers according to the charging pile layout coordinates and charging pile numbers in the charging pile cross-source data set, and then establishing a charging pile cross-source data group corresponding to the district number; S4, calculating the fatigue degree of the charging pile cross-source data set according to the charging times, single charging time and total charging time of the charging pile in the cross-source data integration library, and marking when the fatigue degree exceeds the fatigue threshold; S5, for the marked charging pile cross-source data set, calculate the sensitivity of the charging pile cross-source data set according to the total electric energy meter power data and the sub-electric energy meter power data in the cross-source data integration library, and mark it when the sensitivity exceeds the sensitivity threshold; S6, the fatigue and acuity of all the charging piles in the charging pile cross-source data group are calculated separately, and when the specific fatigue and specific acuity exceed the threshold, they are marked to improve their evaluation level.

[0007] Furthermore, the charging pile cross-source data set, the charging pile cross-source data group and the fatigue and acuity data of the high-assessment-level charging piles are reset every 72 hours, and steps S1 to S6 are repeated.

[0008] Furthermore, fatigue is used to evaluate the operating reliability of the cross-source data set of charging piles in the cross-source data integration library. It is calculated based on the number of charging times of the charging piles in a cycle, the single charging time of the charging piles, and the total charging time of the charging piles. The calculation formula is P=N*D*Z, where P is fatigue degree, N is the average number of charging times of charging piles in the area, D is the average single charging time of charging piles in the area, and Z is the average total charging time of charging piles in the area.

[0009] Furthermore, the sensitivity is used to evaluate the operating status reliability of the charging pile cross-source data set in the charging pile cross-source data set, and is calculated through the total power meter power data and the sub-power meter power data within the cycle. The calculation formula is: , in, is the conversion power, P 分 is the power data of the electric energy meter in the area, P 总is the total electric energy meter power data in the area, P 待 It is the standby power loss of charging piles in the area.

[0010] Another aspect of the present invention provides a charging pile operation status evaluation system, comprising: A database construction module is used to extract the number of charging times of charging piles, the single charging time of charging piles, the total charging time of charging piles, the total power data of electric energy meters and the power data of electric energy meters based on multiple DC charging pile operation status databases, multiple AC charging pile operation status databases and multiple AC / DC integrated charging pile operation status databases, and to construct a cross-source data integration library according to the pre-input charging pile layout coordinates; A parsing module, used for stratifying and segmenting the cross-source data integration library according to the stratification processing strategy and the segmentation processing strategy based on the cross-source data integration library to establish a charging pile cross-source data set and a charging pile cross-source data group; The analysis module is used to calculate fatigue based on the cross-source data integration library, based on the number of charging times of the charging pile, the single charging time of the charging pile and the total charging time of the charging pile, and calculate acuity based on the total power meter power data and the sub-power meter power data.

[0011] The beneficial effects of the present invention are: A database is built for all the charging pile data in the entire area, and the database is layered and segmented according to the layered processing strategy and the segmentation processing strategy. The amount of operating status data that needs to be monitored in real time is reduced according to the strategy of breaking the whole into parts, thereby reducing the required computing power. Then, specific charging piles are marked for real-time monitoring. For charging piles in other unmarked areas, it is not necessary to spend a lot of computing power to monitor them, which ensures that the normal operating status of the charging piles can be guaranteed to the greatest extent, and the monitoring efficiency can be improved and the computing power consumption can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A schematic diagram showing a flow chart of a charging pile operation status evaluation method according to a preferred embodiment of the present application is shown; DETAILED DESCRIPTION

[0013] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be applied to other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.

[0014] Those skilled in the art should understand that, in the disclosure of the specification, the terms "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the drawings, which are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation. Therefore, the above terms should not be understood as limiting the present invention.

[0015] It is to be understood that the term "one" should be understood as "at least one" or "at least one", that is, in one embodiment, the number of an element may be one, while in another embodiment, the number of the element may be multiple, and the term "one" should not be understood as a limitation on the quantity.

[0016] refer to Figure 1 A charging pile operation status evaluation method according to a preferred embodiment of the present invention will be described in detail below, wherein the charging pile operation status evaluation method includes the following steps.

[0017] The present invention provides a charging pile operation status evaluation method, comprising the following steps: S1, construct a cross-source data integration library based on the charging pile operation status sample data, wherein the cross-source data integration library simultaneously integrates multiple DC charging pile operation status databases, multiple AC charging pile operation status databases, and multiple AC / DC integrated charging pile operation status databases, wherein the charging pile operation status sample data includes charging pile layout coordinates, charging pile charging times, charging pile single charging time, charging pile total charging time, total electric energy meter power data, and sub-electric energy meter power data; S2, hierarchical processing is performed on the cross-source data integration library, wherein the hierarchical processing strategy includes grid division and grid numbering according to the latitude and longitude of the regional map, and then mapping the charging piles to the grid numbers of the region where they are located according to the charging pile layout coordinates and charging pile numbers in the cross-source data integration library, and then establishing a charging pile cross-source data set corresponding to the grid numbers; S3, performing segmentation processing on the charging pile cross-source data set, wherein the segmentation processing strategy includes assigning district numbers according to the district characteristics of the regional map, and then mapping the charging piles to the district numbers according to the charging pile layout coordinates and charging pile numbers in the charging pile cross-source data set, and then establishing a charging pile cross-source data group corresponding to the district number; S4, calculating the fatigue degree of the charging pile cross-source data set according to the charging times, single charging time and total charging time of the charging pile in the cross-source data integration library, and marking when the fatigue degree exceeds the fatigue threshold; S5, for the marked charging pile cross-source data set, calculate the sensitivity of the charging pile cross-source data set according to the total electric energy meter power data and the sub-electric energy meter power data in the cross-source data integration library, and mark it when the sensitivity exceeds the sensitivity threshold; S6, the fatigue and acuity of all the charging piles in the charging pile cross-source data group are calculated separately, and when the specific fatigue and specific acuity exceed the threshold, they are marked to improve their evaluation level.

[0018] Reset the fatigue and acuity data of the charging pile cross-source data set, the charging pile cross-source data group and the high-assessment-level charging piles every 72 hours, and repeat steps S1 to S6; fatigue is used to evaluate the operating status reliability of the charging pile cross-source data set in the cross-source data integration library, and is calculated through the charging times of the charging piles, the single charging time of the charging piles and the total charging time of the charging piles within the cycle. The calculation formula is P=N*D*Z, where P is fatigue, N is the average charging times of the charging piles in the region, D is the average single charging time of the charging piles in the region, and Z is the average total charging time of the charging piles in the region; acuity is used to evaluate the operating status reliability of the charging pile cross-source data group in the charging pile cross-source data set, and is calculated through the total power data of the electric energy meter and the power data of the sub-electric energy meter within the cycle. The calculation formula is , in, is the conversion power, P 分 is the power data of the electric energy meter in the area, P 总 is the total electric energy meter power data in the area, P 待 It is the standby power loss of charging piles in the area.

[0019] In another aspect of the present invention, a charging pile operation status evaluation system is provided, including a database construction module, which is used to extract the number of charging pile charging times, the single charging time of the charging pile, the total charging time of the charging pile, the total power data of the electric energy meter and the power data of the sub-electric energy meter based on multiple DC charging pile operation status databases, multiple AC charging pile operation status databases and multiple AC / DC integrated charging pile operation status databases, and construct a cross-source data integration library according to the pre-input charging pile layout coordinates; a parsing module, which is used to stratify and segment the cross-source data integration library based on the cross-source data integration library according to the stratification processing strategy and the segmentation processing strategy to establish a charging pile cross-source data set and a charging pile cross-source data group; an analysis module, which is used to calculate fatigue based on the cross-source data integration library based on the number of charging pile charging times, the single charging time of the charging pile and the total charging time of the charging pile, and calculate acuity based on the total power data of the electric energy meter and the power data of the sub-electric energy meter.

[0020] Embodiment 1 is as follows: A method for evaluating the operating status of a charging pile comprises the following steps: S1, construct a cross-source data integration library based on the charging pile operation status sample data, wherein the cross-source data integration library simultaneously integrates multiple DC charging pile operation status databases, multiple AC charging pile operation status databases, and multiple AC / DC integrated charging pile operation status databases, wherein the charging pile operation status sample data includes charging pile layout coordinates, charging pile charging times, charging pile single charging time, charging pile total charging time, total electric energy meter power data, and sub-electric energy meter power data; Realizing efficient data integration between heterogeneous data sources is the key to data management and analysis. For example, different database systems including DC charging pile fault database, AC charging pile fault database and AC / DC integrated charging pile fault database may use different data types, such as integer, floating point and Boolean. Solving the mapping problem between different data types to ensure the accuracy and consistency of data during the transfer process is the core of data integration. Using cross-source data synchronization to merge multiple databases across different database systems to form a cross-source data integration library, users can directly call the merged cross-source data integration library when using any of the three types of charging piles mentioned above. In cross-source data synchronization, the key lies in the cross-database automatic table creation mechanism. Through this mechanism, the adaptive table structure can be automatically created in the target database, thereby ensuring the error-free data insertion process and achieving smooth data synchronization.

[0021] The charging pile layout coordinates are collected according to the charging pile layout and installation plan, and the charging pile layout coordinates are mapped to the charging pile numbers one by one. Similarly, the number of charging times of the charging pile, the single charging time of the charging pile, and the total charging time of the charging pile are collected in real time through the data network and mapped to the charging pile numbers one by one.

[0022] The total electric energy meter power data and the sub-electric energy meter power data are collected from the total electric energy meter and the sub-electric energy meter network through the data network.

[0023] S2, hierarchical processing is performed on the cross-source data integration library, wherein the hierarchical processing strategy includes grid division and grid numbering according to the latitude and longitude of the regional map, and then mapping the charging piles to the grid numbers of the region where they are located according to the charging pile layout coordinates and charging pile numbers in the cross-source data integration library, and then establishing a charging pile cross-source data set corresponding to the grid numbers; The area is divided according to longitude and latitude to form a rectangular grid, and the grids are numbered and divided according to the horizontal coordinates X1~N and the vertical coordinates Y1~M, forming numbers such as 11, 46 or NM to form regional divisions. The charging piles in the area are then divided into the grid to form a cross-source data set of charging piles divided according to the longitude and latitude regions.

[0024] S3, performing segmentation processing on the charging pile cross-source data set, wherein the segmentation processing strategy includes assigning district numbers according to the district characteristics of the regional map, and then mapping the charging piles to the district numbers according to the charging pile layout coordinates and charging pile numbers in the charging pile cross-source data set, and then establishing a charging pile cross-source data group corresponding to the district number; The geographical scope of the area is divided according to zoning characteristics, which include residential areas, streets, parking lots, apartments and other features. A cross-source data group of charging piles is formed according to the zoning. The formation of a cross-source data group of charging piles according to the zoning is convenient for management and data statistics, and in reality, it is convenient to contact with the management unit.

[0025] S4, calculating the fatigue degree of the charging pile cross-source data set according to the charging times, single charging time and total charging time of the charging pile in the cross-source data integration library, and marking when the fatigue degree exceeds the fatigue threshold; S5, for the marked charging pile cross-source data set, calculate the sensitivity of the charging pile cross-source data set according to the total electric energy meter power data and the sub-electric energy meter power data in the cross-source data integration library, and mark it when the sensitivity exceeds the sensitivity threshold; S6, the fatigue and acuity of all the charging piles in the charging pile cross-source data group are calculated separately, and when the specific fatigue and specific acuity exceed the threshold, they are marked to improve their evaluation level.

[0026] Reset the fatigue and acuity data of the charging pile cross-source data set, the charging pile cross-source data group and the high-assessment-level charging piles every 72 hours, and repeat steps S1 to S6. Since various types of data are continuously accumulated during the operation of the charging pile, the longer the time, the greater the error, and the greater the probability of being affected by historical data in this time interval, resulting in inaccurate fatigue and acuity calculation results. Therefore, deduplication is required, that is, the historical data is eliminated, and only the data in this time interval is calculated to ensure the accuracy of the calculated data.

[0027] 72 hours is selected as a cycle, which takes into account the influence of time factors and the characteristics of different zoning. The cycle time can be modified. For example, for areas such as residential areas and company parking lots where the frequency of charging piles is high and the time is long, the cycle can be shortened appropriately, while for areas with low frequency of use such as streets, the cycle can be extended appropriately.

[0028] Fatigue is used to evaluate the operating status reliability of the cross-source data set of charging piles in the cross-source data integration library. It is calculated based on the number of charging times of the charging piles in the cycle, the single charging time of the charging piles, and the total charging time of the charging piles. The calculation formula is P=N*D*Z, where P is fatigue, N is the average number of charging times of the charging piles in the area, D is the average single charging time of the charging piles in the area, and Z is the average total charging time of the charging piles in the area. Fatigue shows the usage status of the charging piles within the cycle time. The iteration cycle of charging pile equipment is generally 2-3 years. Different manufacturers and product types have different iteration cycles. In addition, market demand factors, technological innovation factors, and policy support factors also affect the iteration cycle of charging pile equipment. For example, the continuous innovation of new technologies has increased the functions and performance of charging pile equipment, which helps to improve user experience and the competitiveness of equipment. Therefore, in the later stage, when the functions of charging pile equipment are more complete and the performance is more stable, the iteration cycle of charging pile equipment may be extended to 4-5 years. In other words, the higher the frequency of use of the charging pile, the longer the single use time and the total use time, the more likely the charging pile will fail and the more attention it needs, which means that the higher the fatigue of the charging pile. When the fatigue of the charging pile exceeds the threshold, it needs to be focused on. Here, since the calculation based on the charging times of the charging pile, the single charging time of the charging pile and the total charging time of the charging pile results in fuzzy results, it is impossible to make an accurate judgment on the operating status of the charging pile, but it has great reference significance for the overall judgment. Therefore, fatigue is used to select key charging piles for cross-source data set screening.

[0029] Sensitivity is used to evaluate the operating status reliability of the charging pile cross-source data set in the charging pile cross-source data set. It is calculated through the total power meter power data and the sub-power meter power data in the cycle. The calculation formula is: , in, is the conversion power, P 分 is the power data of the electric energy meter in the area, P 总 is the total electric energy meter power data in the area, P 待 It is the standby power loss of charging piles in the area.

[0030] The total energy meter is a rail-type energy meter, the sub-energy meter is a DC energy meter, and the charging pile is a DC charging pile; a corresponding relationship between the rail-type energy meter and the DC charging pile is established, and the DC charging pile has one or more DC energy meters built in, and each DC energy meter corresponds to one or more charging guns.

[0031] The total power meter power data and the sub-power meter power data can make a relatively accurate judgment on the charging pile. The operating status of the charging pile can be judged by the conversion power. The time series analysis method (such as ARIMA (autoregressive moving average model)) can be used to analyze the trend change of the conversion efficiency curve to determine whether there is a problem with the reliability of the charging pile. If the conversion efficiency trend is good, remains stable or improves, it means that the operation of the charging pile is relatively stable. If the conversion efficiency trend continues to decline or fluctuates greatly, it means that the charging pile may have a fault or performance degradation problem, which requires further fault diagnosis and maintenance.

[0032] Here, sensitivity can judge the charging efficiency of the charging pile across source data groups. The higher the charging efficiency, the healthier the charging pile is, the less likely it is to fail, and the less attention is needed.

[0033] Through fatigue and sensitivity, the scope of charging piles that need to be inspected can be gradually narrowed. By consuming a small amount of computing power, the key range can be narrowed to a reasonable range. Then, the charging piles whose operating status needs to be focused on are marked, and key inspections are carried out within the cycle, including fatigue, sensitivity and conversion power, as well as other data such as the number of failures.

[0034] Another aspect of the present invention provides a charging pile operation status evaluation system, comprising: A database construction module is used to extract the number of charging times of charging piles, the single charging time of charging piles, the total charging time of charging piles, the total power data of electric energy meters and the power data of electric energy meters based on multiple DC charging pile operation status databases, multiple AC charging pile operation status databases and multiple AC / DC integrated charging pile operation status databases, and to construct a cross-source data integration library according to the pre-input charging pile layout coordinates; A parsing module, used for stratifying and segmenting the cross-source data integration library according to the stratification processing strategy and the segmentation processing strategy based on the cross-source data integration library to establish a charging pile cross-source data set and a charging pile cross-source data group; The analysis module is used to calculate fatigue based on the cross-source data integration library, based on the number of charging times of the charging pile, the single charging time of the charging pile and the total charging time of the charging pile, and calculate acuity based on the total power meter power data and the sub-power meter power data.

[0035] In the present application, the charging pile operation status evaluation system and the charging pile operation status evaluation method both have the same detection control logic. Therefore, the various beneficial effects or functions of the charging pile operation status evaluation method also exist in the charging pile operation status evaluation system and will not be repeated here.

[0036] It should be noted that the terms "first, second and third" in the present invention are only used for descriptive purposes and do not indicate any order. They cannot be understood as indicating or implying relative importance. These terms can be interpreted as names.

[0037] It should be understood by those skilled in the art that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The advantages of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments, and the embodiments of the present invention may be deformed or modified in any way without departing from the principles.

Claims

1. A charging pile operation status evaluation method, characterized in that: The following steps are involved: S1, construct a cross-source data integration library based on the charging pile operation status sample data, wherein the cross-source data integration library simultaneously integrates multiple DC charging pile operation status databases, multiple AC charging pile operation status databases, and multiple AC / DC integrated charging pile operation status databases, wherein the charging pile operation status sample data includes charging pile layout coordinates, charging pile charging times, charging pile single charging time, charging pile total charging time, total electric energy meter power data, and sub-electric energy meter power data; S2, hierarchical processing is performed on the cross-source data integration library, wherein the hierarchical processing strategy includes grid division and grid numbering according to the latitude and longitude of the regional map, and then mapping the charging piles to the grid numbers of the region where they are located according to the charging pile layout coordinates and charging pile numbers in the cross-source data integration library, and then establishing a charging pile cross-source data set corresponding to the grid numbers; S3, performing segmentation processing on the charging pile cross-source data set, wherein the segmentation processing strategy includes assigning district numbers according to the district characteristics of the regional map, and then mapping the charging piles to the district numbers according to the charging pile layout coordinates and charging pile numbers in the charging pile cross-source data set, and then establishing a charging pile cross-source data group corresponding to the district number; S4, calculating the fatigue degree of the charging pile cross-source data set according to the charging times, single charging time and total charging time of the charging pile in the cross-source data integration library, and marking when the fatigue degree exceeds the fatigue threshold; S5, for the marked charging pile cross-source data set, calculate the sensitivity of the charging pile cross-source data set according to the total electric energy meter power data and the sub-electric energy meter power data in the cross-source data integration library, and mark it when the sensitivity exceeds the sensitivity threshold; S6, the fatigue and acuity of all the charging piles in the charging pile cross-source data group are calculated separately, and when the specific fatigue and specific acuity exceed the threshold, they are marked to improve their evaluation level.

2. The charging pile operation status evaluation method according to claim 1, characterized in that: In a cycle of every 72 hours, the charging pile cross-source data set, the charging pile cross-source data group and the fatigue and acuity data of the high-assessment-level charging piles are reset, and steps S1 to S6 are repeated.

3. The charging pile operation status evaluation method according to claim 1, characterized in that: Fatigue is used to evaluate the operating status reliability of the cross-source data set of charging piles in the cross-source data integration library. It is calculated based on the number of charging times of the charging piles in the cycle, the single charging time of the charging piles, and the total charging time of the charging piles. The calculation formula is P=N*D*Z, where P is fatigue degree, N is the average number of charging times of charging piles in the area, D is the average single charging time of charging piles in the area, and Z is the average total charging time of charging piles in the area.

4. The charging pile operation status evaluation method according to claim 1, characterized in that: Sensitivity is used to evaluate the operating status reliability of the charging pile cross-source data set in the charging pile cross-source data set. It is calculated through the total power meter power data and the sub-power meter power data in the cycle. The calculation formula is: ， in, is the conversion power, P 分 is the power data of the electric energy meter in the area, P 总 is the total electric energy meter power data in the area, P 待 It is the standby power loss of charging piles in the area.

5. A charging pile operation status evaluation system, characterized in that: include A database construction module is used to extract the number of charging times of charging piles, the single charging time of charging piles, the total charging time of charging piles, the total power data of electric energy meters and the power data of electric energy meters based on multiple DC charging pile operation status databases, multiple AC charging pile operation status databases and multiple AC / DC integrated charging pile operation status databases, and to construct a cross-source data integration library according to the pre-input charging pile layout coordinates; A parsing module, used for stratifying and segmenting the cross-source data integration library according to the stratification processing strategy and the segmentation processing strategy based on the cross-source data integration library to establish a charging pile cross-source data set and a charging pile cross-source data group; The analysis module is used to calculate fatigue based on the cross-source data integration library, based on the number of charging times of the charging pile, the single charging time of the charging pile and the total charging time of the charging pile, and calculate acuity based on the total power meter power data and the sub-power meter power data.

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