Electric vehicle charging pile fault diagnosis system and method

Abstract

The invention discloses an electric vehicle charging pile fault diagnosis system and method, and relates to the technical field of voltage control, the system comprises a charging pile monitoring module, a charging pile analysis module, a charging pile processing module, a Web set display end and a data warehouse, the position of a lightning stroke point is determined, so that the fault risk of a charging pile is corrected, and the fault diagnosis accuracy of the charging pile is improved. The defects in the prior art are overcome, the risk of time delay is reduced, and the influence of lightning stroke on the charging pile is analyzed more accurately from a more macroscopic angle in combination with the relative position information of the lightning stroke point and the charging pile, so that the damage degree of the lightning stroke point on the charging pile is judged accurately, and the charging pile is protected. And meanwhile, the fault of the gun head of the charging pile and the fault of the charging pile are analyzed, so that potential safety hazards are avoided, normal use of the charging pile is guaranteed, and the subsequent maintenance efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of charging pile fault diagnosis, and in particular to a system and method for diagnosing a fault of an electric vehicle charging pile. Background Art

[0002] With the popularity of electric vehicles, the number of charging piles is increasing, and their stable operation is crucial to ensure the normal charging of electric vehicles. However, charging piles will inevitably have various faults during long-term use. Therefore, timely and accurate fault diagnosis of charging piles is particularly important.

[0003] Prior art, such as the invention patent application with announcement number: CN111505430B, discloses a charging data recording method and recorder for an electric vehicle charging pile, which can record relevant data such as fault voltage and current signals when an electric vehicle charging pile fails, and perform fault analysis and improve the next electric vehicle charging pile based on the measured data, thereby improving the safety and reliability of the electric vehicle charging pile. Compared with existing electric vehicle charging stations, the electric vehicle charging pile of the invention monitors the charging process of electric vehicles comprehensively and completely, and can obtain relevant data when an electric vehicle has a charging failure, which is conducive to analyzing the cause of the charging failure.

[0004] By comparing the above schemes, it can be found that most of the existing technologies directly use the magnetic field sensor array near the charging pile to determine the impact of lightning strikes on the charging pile. It is necessary to wait for the magnetic field signal to propagate to the location of the sensor before monitoring and analysis can be performed. This will cause time delays to a certain extent. It is rare to determine the location of the lightning strike point to correct the failure risk of the charging pile. Determining the location of the lightning strike point first can more accurately analyze the impact of the lightning strike on the charging pile from a more macro perspective, combined with the relative position information of the lightning strike point and the charging pile. The neglect of this aspect in the existing technology makes it difficult to accurately determine the degree of harm caused by the lightning strike point on the charging pile, and the reaction speed is relatively slow, the real-time performance is insufficient, and the comprehensiveness is not high. At the same time, the attention to the failure of the charging pile gun head and the charging column is not high, thereby increasing safety hazards, affecting the normal use of the charging pile, and reducing the efficiency of subsequent maintenance. Summary of the invention

[0005] The purpose of the present invention is to provide an electric vehicle charging pile fault diagnosis system and method, which solves the problems existing in the background technology.

[0006] To solve the above technical problems, the present invention adopts the following technical solutions: The first aspect of the present invention provides an electric vehicle charging pile fault diagnosis system, including: a charging pile monitoring module, which is used to monitor a number of charging piles in each area and obtain prior monitoring data of the charging piles in each area.

[0007] The charging pile analysis module is used to determine the fault indicator parameter set of each charging pile in each area, and obtain the fault risk indicator set of each charging pile in each area after correction processing.

[0008] The charging pile processing module is used to generate charging pile group labels for each area.

[0009] The web integrated display terminal is used to display the charging pile group labels of each area.

[0010] A second aspect of the present invention provides a method for executing the electric vehicle charging pile fault diagnosis system of the present invention, comprising: step 1, monitoring a number of charging piles in each area to obtain prior monitoring data of the charging piles in each area.

[0011] Step 2: determine the fault indicator parameter set of each charging pile in each area, and obtain the fault risk indicator set of each charging pile in each area after correction.

[0012] Step 3: Generate charging pile group labels for each area.

[0013] Step 4: Display the charging pile group labels in each area.

[0014] The beneficial effects of the present invention are as follows: (1) The present invention corrects the failure risk of the charging pile by determining the position of the lightning strike point, thereby compensating for the shortcomings of the prior art and reducing the risk of time delay. From a more macroscopic perspective, the present invention combines the relative position information of the lightning strike point and the charging pile to more accurately analyze the impact of the lightning strike on the charging pile. The reaction speed is relatively fast, the real-time nature of the monitoring and analysis is improved, and the monitoring and analysis is more comprehensive, thereby accurately determining the degree of harm caused by the lightning strike point on the charging pile.

[0015] (2) The present invention analyzes the faults of the charging pile gun head and the charging column, thereby avoiding safety hazards, ensuring the normal use of the charging pile, and improving the efficiency of subsequent maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a schematic diagram of the system structure connection of the present invention.

[0018] Figure 2 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Reference Figure 1 As shown, the first aspect of the present invention provides an electric vehicle charging pile fault diagnosis system, including: a charging pile monitoring module, a charging pile analysis module, a charging pile processing module, a Web integrated display terminal and a data warehouse.

[0021] The charging pile monitoring module is connected to the charging pile analysis module, the charging pile analysis module is connected to the charging pile processing module, the charging pile processing module is connected to the Web integrated display terminal, and the data warehouse is connected to the charging pile analysis module.

[0022] The charging pile monitoring module is used to monitor a number of charging piles in each area and obtain prior monitoring data of the charging piles in each area.

[0023] In a specific embodiment of the present invention, the charging pile prior monitoring data includes characteristic values ​​of each communication parameter of each charging pile, gun head usage monitoring parameters of each charging pile, charging column usage monitoring parameters and environmental monitoring parameters, and the characteristic values ​​of each communication parameter include packet loss rate, bit error rate and transmission rate, etc. The characteristic values ​​of each communication parameter are obtained from the charging pile operation platform.

[0024] The gun head usage monitoring parameters include a plug-in and pull-out number set, a plug-in and pull-out distance set, and a friction characteristic value.

[0025] It should be noted that the plug-in and unplugging times set is specifically the total plug-in and unplugging times of the charging pile's gun head in each historical use, the plug-in and unplugging angle set is specifically the angle between the charging pile's gun head and the charging interface during each historical use, and the friction characteristic value set is specifically the total number of times the charging pile's gun head collides with other objects during use.

[0026] It should also be noted that, based on the monitoring platform of each area, the set of plug-in and unplugging times and the friction characteristic values ​​of each charging pile in each area can be directly obtained through the monitoring video, which will not be elaborated here. For the plug-in and unplugging angle set, the center point of the gun head of the charging pile can be selected as the first origin, and the center point of the charging interface can be selected as the second origin through three-dimensional modeling technology, so as to obtain the distance between the first origin and the second origin as the plug-in and unplugging distance. The position of the gun head of the charging pile and the position of the charging interface can also be located by a locator. The relative position of the center point of the gun head and the locator and the relative position of the center point of the charging interface and the locator can be used to obtain the position of the center point of the gun head of the charging pile and the center point of the charging interface, so as to obtain the distance between the gun head of the charging pile and the charging interface as the plug-in and unplugging distance.

[0027] The charging column usage monitoring parameters include an offset coefficient, a plug-in distance set, a friction characteristic value, various damage types and their corresponding characteristic parameters.

[0028] It should be noted that the specific analysis method of the offset coefficient is: overlapping and comparing the three-dimensional model of the charging column with the initial three-dimensional model of the charging column stored in the data warehouse, obtaining the overlapping volume of the three-dimensional model of the charging column and the initial three-dimensional model, and dividing the volume of the initial three-dimensional model of the charging column by the overlapping volume to obtain the offset coefficient. The plug-in and unplug distance set is the same as the plug-in and unplug distance set in the monitoring parameters of the gun head usage. The friction characteristic value is specifically the total number of times the charging column collides with other objects during use. The damage types are scratches, cracks and corrosion, etc. The characteristic parameters corresponding to the damage types are specifically unit area, which is obtained through image recognition technology.

[0029] The charging pile analysis module is used to determine the fault indicator parameter set of each charging pile in each area, and obtain the fault risk indicator set of each charging pile in each area through correction processing.

[0030] In a specific embodiment of the present invention, the fault indication parameter set of each charging pile in each area is determined by a specific method: based on the prior monitoring data of the charging piles in each area, the fault type feature set of each charging pile in each area is judged.

[0031] Based on the prior monitoring data of charging piles in each area, the first fault risk coefficient, the second fault risk coefficient and the third fault risk coefficient of each charging pile in each area are obtained through numerical processing, and a fault indicator parameter set of each charging pile in each area is generated, and the fault indicator parameter set includes any combination of JY, ​​I1X1, and I2X2.

[0032] It should be noted that the specific generation method of the fault indication parameters of each charging pile in each area is as follows: if the fault type characteristic value of a charging pile is J, the first fault risk coefficient Y of the charging pile is obtained, and the fault indication parameter of the charging pile is recorded as JY; if the fault type characteristic value of a charging pile is I1, the second fault risk coefficient X1 of the charging pile is obtained, and the fault indication parameter of the charging pile is recorded as I1Y1; if the fault type characteristic value of a charging pile is I2, the second fault risk coefficient X2 of the charging pile is obtained, and the fault indication parameter of the charging pile is recorded as I2Y2. According to the above method, based on the fault type characteristic set of each charging pile in each area, a fault indication parameter set of each charging pile in each area is generated.

[0033] In a specific embodiment of the present invention, the fault type feature set of each charging pile in each area is determined by extracting the characteristic value β of each communication parameter of each charging pile from the prior monitoring data of the charging piles in each area. _im_j , and import it into the communication fault judgment model The communication fault judgment value of each charging pile in each area is output, and the communication fault judgment value includes the values ​​of 1 and -1. When the communication fault judgment value is 1, it indicates that the communication of the charging pile is faulty. When the communication fault judgment value is -1, it indicates that the communication of the charging pile is normal.

[0034] In the formula Respectively represent existential quantifier and universal quantifier, β _im_0 is the characteristic value of a communication parameter of the mth charging pile in the ith area, β _ ' im_0 is the characteristic value convergence interval of the communication parameter, i is the number of each area, i=1,2,...,n, m is the number of each charging pile, m=1,2,...,l, j is the number of each communication parameter, j=1,2,...,k.

[0035] It should be supplemented that the characteristic value convergence interval of the communication parameter is specifically extracted based on the characteristic value convergence interval corresponding to each communication parameter stored in the data warehouse.

[0036] Extract the monitoring parameters of the charging head and the charging column usage of each charging pile from the prior monitoring data of the charging piles in each area.

[0037] The fault judgment value of the charging pile gun head is recorded as 1. If,

[0038]

[0039] The fault judgment value of the gun head of the charging pile is recorded as -1, and the charging column fault judgment value of each charging pile in each area is obtained by processing.

[0040] Where χ _im , _im_p , γ _im_h They respectively represent the friction characteristic value of the mth charging pile in the ith area, the pth data in the plug-in number set, and the hth data in the plug-in distance set. χ′, λ′, and γ′ respectively represent the friction characteristic convergence value, the plug-in number convergence interval, and the plug-in distance convergence interval in the data bin. ∨ and ∧ are logical symbols or and, respectively. p is the number of each data in the plug-in number set, p=1,2,...,q. h is the number of each data in the plug-in distance set, h=1,2,...,g.

[0041] It should be noted that the processing obtains the charging column fault judgment value of each charging pile in each area, and the specific processing method is: the offset coefficient of each charging pile in each area, the plug-in distance set, the friction characteristic value, each damage type and its corresponding characteristic parameters are respectively compared with the offset coefficient convergence value, the plug-in distance convergence interval, and the convergence characteristic parameters corresponding to each damage type in the data bin. If the offset coefficient of a charging pile is greater than or equal to the offset coefficient convergence value, a certain data in the plug-in distance set is not within the plug-in distance convergence interval, and the characteristic parameter of a certain damage type is greater than or equal to the convergence characteristic parameter, then the charging column fault characteristic value of the charging pile is judged to be 1; otherwise, the charging column fault judgment value of the charging pile is judged to be -1.

[0042] If the communication fault judgment value of a charging pile is 1, the fault type characteristic value of the charging pile is recorded as J. If the gun head fault judgment value of a charging pile is 1, the fault type characteristic value of the charging pile is recorded as I1. If the charging column fault judgment value of a charging pile is 1, the fault type characteristic value of the charging pile is recorded as I2. The fault type feature set of the charging pile is summarized, which is any combination of J, I1, and I2. The fault type feature set of each charging pile in each area is obtained in this way.

[0043] In a specific embodiment of the present invention, the first fault risk coefficient, the second fault risk coefficient and the third fault risk coefficient of each charging pile in each area are specifically evaluated by: based on the characteristic values ​​and suitable characteristic value intervals of each communication parameter of each charging pile in each area, determining the offset of each communication parameter of each charging pile in each area.

[0044] It should be noted that the offset of each communication parameter of each charging pile in each area is specifically the deviation between the characteristic value of each communication parameter and the middle value of the appropriate characteristic value interval.

[0045] Based on the offset of each communication parameter of each charging pile in each area, the monitoring parameter of the gun head and the monitoring parameter of the charging column, the first fault risk coefficient of each charging pile in each area is determined respectively. Second Failure Risk Factor and the third failure risk factor

[0046]

[0047] Where μ _im_f , μ′ _im_f is the characteristic parameter and convergent characteristic parameter corresponding to the fth damage type of the mth charging pile in the ith region, χ′ _im , They are respectively represented as the friction characteristic value and the offset coefficient of the mth charging pile in the ith area, f is the number of each damage type, f=1,2,...,t.

[0048] The present invention analyzes the faults of the gun head of the charging pile and the faults of the charging column, thereby avoiding potential safety hazards, ensuring the normal use of the charging pile, and improving the efficiency of subsequent maintenance.

[0049] In a specific embodiment of the present invention, the correction processing obtains a set of fault risk indicators for each charging pile in each area, and the specific correction process is: obtaining the environmental monitoring parameters of each charging pile from the prior monitoring data of each area, wherein the environmental monitoring parameters include a temperature distribution map and a magnetic field strength distribution map within the monitoring period, locating the lightning strike points in each area, and determining the temperature treatment plan for each charging pile in each area, and executing the temperature treatment plan for each charging pile in each area.

[0050] Based on the lightning strike points in each area, obtain the distance JL between each charging pile in each area and the lightning strike point _im , obtain the power used by each charging pile E from the charging pile operation platform im , heat dissipation device uses characteristic value T im , the correction process obtains the first fault correction risk coefficient of each charging pile in each area The second fault correction risk coefficient and the third fault correction risk coefficient are based on the fault indication parameter set of each charging pile in each area to obtain the fault risk indicator set of each charging pile in each area, and the fault risk indicator set is any combination of the first fault correction risk coefficient, the second fault correction risk coefficient and the third fault correction risk coefficient.

[0051] Where δ _1 ,δ _1 ,δ _1 They are respectively represented as the safety factor corresponding to the unit lightning strike distance of the first fault in the data warehouse, the risk factor corresponding to the unit power usage, and the risk factor corresponding to the use of the heat dissipation device.

[0052] It should be added that the heat sink usage characteristic value specifically includes values ​​of 1 and 0. When the heat sink usage characteristic value is 1, it indicates that the charging pile uses a heat sink. When the heat sink usage characteristic value is 0, it indicates that the charging pile does not use a heat sink.

[0053] It should also be noted that the analysis method of the second fault correction risk coefficient and the third fault correction risk coefficient of each charging pile in each area is consistent with the first fault correction risk coefficient.

[0054] In a specific embodiment of the present invention, the lightning strike points in each area are located, and the specific positioning method is: based on the magnetic field strength distribution map of each charging pile in each area, the magnetic field strength of each lightning monitoring device in each area is obtained, and it is compared with the lightning magnetic field strength convergence value stored in the data warehouse. If the magnetic field strength of a lightning monitoring device is greater than or equal to the lightning magnetic field strength convergence value, the lightning monitoring device is recorded as a risk monitoring device, thereby obtaining the risk monitoring devices in each area.

[0055] Based on the risk monitoring devices in each area, the lightning strike risk circle of each area is drawn, a coordinate system is established with the center point of each area as the origin, and the centroid position of the lightning strike risk circle of each area is determined by existing technology, and the centroid of the lightning strike risk circle of each area is used as the lightning strike point of each area.

[0056] It should be noted that the method for determining the centroid position of the lightning risk circle in each area is relatively mature, such as determining the center point of an irregular closed loop figure in the prior art. Assume that the figure is composed of u vertices (x1, y1), (x2, y2), ..., (x v ,y v ),...,(x u ,y u ), first use the polygon area formula to calculate the area of ​​the shape Next, calculate the coordinates of the center of mass. For example, if the vertices of a quadrilateral are (1,1), (4,2), (3,5), (0,4), calculate the area Calculate A=10, then calculate the centroid coordinates Calculate x _0 =2,

[0057]

[0058] Calculate y _0 =2, and thus the coordinates of the center of mass are obtained.

[0059] In a specific embodiment of the present invention, the temperature processing scheme for each charging pile in each area is specifically confirmed by: based on the temperature distribution diagram of each charging pile in each area during the monitoring period, the maximum temperature and temperature change slope of each charging pile in each area are obtained, and compared with the charging pile processing temperature threshold and temperature change slope threshold stored in the data warehouse.

[0060] If the maximum temperature of a charging pile exceeds the charging pile processing temperature threshold or the temperature change slope is greater than or equal to the temperature change slope threshold, it is judged that the processing method of the charging pile is to adjust the power, and the maximum temperature and temperature change slope of the charging pile are compared with the appropriate power corresponding to each temperature change slope interval preset in the data warehouse in each temperature interval, and the appropriate power of the charging pile is screened.

[0061] It should be noted that the appropriate power usage corresponding to each temperature change slope interval in each temperature interval in the data bin is specifically determined based on the historical usage data of the charging pile. For example, the power usage, the highest temperature, and the temperature change slope of each successful historical adjustment are obtained from the historical usage data of the charging pile, and then summarized into the power usage of each temperature change slope interval for each successful historical adjustment in each temperature interval, and the average is processed to obtain the appropriate power usage corresponding to each temperature change slope interval in each temperature interval.

[0062] If the maximum temperature of a charging pile exceeds the charging pile processing temperature threshold and the temperature change slope is greater than or equal to the temperature change slope threshold, it is determined that the processing method of the charging pile is auxiliary heat dissipation, thereby obtaining the temperature processing plan for each charging pile in each area.

[0063] The charging pile processing module is used to generate charging pile group labels for each area.

[0064] In a specific embodiment of the present invention, the generation of charging pile group labels for each area is specifically implemented as follows: obtaining a fault risk indicator set for each charging pile in each area; if the number of elements in the fault risk indicator set of a certain charging pile is 3, then the charging pile is recorded as a charging pile with a first-class group label; if the number of elements in the fault risk indicator set of a certain charging pile is 2, then the charging pile is recorded as a charging pile with a second-class group label; if the number of elements in the fault risk indicator set of a certain charging pile is 1, then the charging pile is recorded as a charging pile with a first-class group label.

[0065] The first-class road group labels of each area are counted and belong to each charging pile to generate a charging pile group one label, the second-class road group labels of each area are counted and belong to each charging pile to generate a charging pile group two label, and the third-class road group labels of each area are counted and belong to each charging pile to generate a charging pile group three label.

[0066] It should be noted that among the charging pile group one label, the charging pile group two label and the charging pile group three label, the importance of the charging pile group one label is greater than that of the charging pile group two label, and the importance of the charging pile group two label is greater than that of the charging pile group three label. That is to say, the charging piles in the charging pile group one label have a higher risk of being affected by lightning strikes and having their own failures. They can be given priority in the subsequent maintenance of the charging piles, and the monitoring frequency can be increased, thereby providing solid data support for the subsequent daily maintenance and monitoring allocation of the charging piles in each area, which is conducive to reducing the maintenance and management costs of the charging piles, while ensuring the rationality of the monitoring allocation of the charging piles in each area.

[0067] The present invention corrects the failure risk of the charging pile by determining the position of the lightning strike point, thereby compensating for the shortcomings of the prior art and reducing the risk of time delay. From a more macroscopic perspective, the present invention combines the relative position information of the lightning strike point and the charging pile to more accurately analyze the impact of the lightning strike on the charging pile. The reaction speed is relatively fast, the real-time nature of the monitoring and analysis is improved, and the monitoring and analysis is more comprehensive, thereby accurately determining the degree of harm caused by the lightning strike point on the charging pile.

[0068] The Web integrated display terminal is used to display the charging pile group labels of each area.

[0069] Reference Figure 2 As shown, the second aspect of the present invention provides a method for executing the electric vehicle charging pile fault diagnosis system of the present invention, including: step 1, monitoring a number of charging piles in each area to obtain prior monitoring data of the charging piles in each area.

[0070] Step 2: determine the fault indicator parameter set of each charging pile in each area, and obtain the fault risk indicator set of each charging pile in each area after correction.

[0071] Step 3: Generate charging pile group labels for each area.

[0072] Step 4: Display the charging pile group labels in each area.

[0073] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An electric vehicle charging pile fault diagnosis system, characterized in that: include: The charging pile monitoring module is used to monitor a number of charging piles in each area and obtain a priori monitoring data of charging piles in each area; The charging pile analysis module is used to determine the fault indicator parameter set of each charging pile in each area, and obtain the fault risk indicator set of each charging pile in each area after correction processing; Charging pile processing module, used to generate charging pile group labels for each area; The web integrated display terminal is used to display the charging pile group labels of each area.

2. The electric vehicle charging pile fault diagnosis system according to claim 1, characterized in that: The charging pile priori monitoring data includes characteristic values ​​of each communication parameter of each charging pile, gun head usage monitoring parameters of each charging pile, charging column usage monitoring parameters and environmental monitoring parameters; The gun tip usage monitoring parameters include a plug-in / plug-out number set, a plug-in / plug-out distance set, and a friction characteristic value; The charging column usage monitoring parameters include an offset coefficient, a plug-in distance set, a friction characteristic value, various damage types and their corresponding characteristic parameters.

3. The electric vehicle charging pile fault diagnosis system according to claim 2, characterized in that: The specific determination method of the fault indicator parameter set of each charging pile in each area is as follows: Based on the prior monitoring data of charging piles in each area, determine the fault type feature set of each charging pile in each area; Based on the prior monitoring data of charging piles in each area, the first fault risk coefficient, the second fault risk coefficient and the third fault risk coefficient of each charging pile in each area are obtained through numerical processing, and a fault indicator parameter set of each charging pile in each area is generated, and the fault indicator parameter set includes any combination of JY, ​​I1X1, and I2X2.

4. The electric vehicle charging pile fault diagnosis system according to claim 3, characterized in that: The specific judgment method of judging the fault type feature set of each charging pile in each area is as follows: Extract the characteristic value β of each communication parameter of each charging pile from the prior monitoring data of charging piles in each area _im_j , and import it into the communication fault judgment model , outputting the communication fault judgment value of each charging pile in each area, wherein the communication fault judgment value includes values ​​of 1 and -1. When the communication fault judgment value is 1, it indicates that the communication of the charging pile is faulty, and when the communication fault judgment value is -1, it indicates that the communication of the charging pile is normal; In the formula Respectively represent existential quantifier and universal quantifier, β _im_0 is the characteristic value of a communication parameter of the mth charging pile in the ith area, β′ _im_0 is the characteristic value convergence interval of the communication parameter, i is the number of each area, i=1,2,...,n, m is the number of each charging pile, m=1,2,...,l, j is the number of each communication parameter, j=1,2,...,k; Extract the monitoring parameters of the charging head and the charging column usage of each charging pile from the prior monitoring data of the charging piles in each area. , then the fault judgment value of the charging pile gun head is recorded as 1, if, , then the fault judgment value of the charging pile's gun tip is recorded as -1, and the charging column fault judgment value of each charging pile in each area is obtained by processing; Where χ _im , _im_p , γ _im_h They are respectively represented as the friction characteristic value of the mth charging pile in the ith area, the pth data in the plug-in number set, and the hth data in the plug-in distance set. χ′, λ′, and γ′ are respectively represented as the friction characteristic convergence value, the plug-in number convergence interval, and the plug-in distance convergence interval in the data bin. ∨ and ∧ are respectively the logical symbols or and, p is the number of each data in the plug-in number set, p=1,2,...,q, h is the number of each data in the plug-in distance set, h=1,2,...,g; If the communication fault judgment value of a charging pile is 1, the fault type characteristic value of the charging pile is recorded as J. If the gun head fault judgment value of a charging pile is 1, the fault type characteristic value of the charging pile is recorded as I1. If the charging column fault judgment value of a charging pile is 1, the fault type characteristic value of the charging pile is recorded as I2. The fault type feature set of the charging pile is summarized, which is any combination of J, I1, and I2. The fault type feature set of each charging pile in each area is obtained in this way.

5. The electric vehicle charging pile fault diagnosis system according to claim 3, characterized in that: The specific evaluation method of the first fault risk coefficient, the second fault risk coefficient and the third fault risk coefficient of each charging pile in each area is as follows: Determine the offset of each communication parameter of each charging pile in each area based on the characteristic value and the suitable characteristic value interval of each communication parameter of each charging pile in each area; Based on the offset of each communication parameter of each charging pile in each area, the monitoring parameters of the gun head and the monitoring parameters of the charging column, the first fault risk coefficient of each charging pile in each area is determined respectively. Second Failure Risk Factor and the third failure risk factor Where μ _im_f , μ′ _im_f is the characteristic parameter and convergent characteristic parameter corresponding to the fth damage type of the mth charging pile in the ith region, χ′ _im ,θ _im They are respectively represented as the friction characteristic value and the offset coefficient of the mth charging pile in the ith area, f is the number of each damage type, f=1,2,...,t.

6. The electric vehicle charging pile fault diagnosis system according to claim 2, characterized in that: The correction process obtains the fault risk indicator set of each charging pile in each area, and the specific correction process is as follows: Obtain environmental monitoring parameters of each charging pile from the prior monitoring data of each area, where the environmental monitoring parameters include the temperature distribution map and the magnetic field strength distribution map during the monitoring period, locate the lightning strike point in each area, and determine the temperature treatment plan for each charging pile in each area, and execute the temperature treatment plan for each charging pile in each area; Based on the lightning strike points in each area, obtain the distance JL between each charging pile in each area and the lightning strike point _im , obtain the power consumption E of each charging pile from the charging pile operation platform im , heat dissipation device uses characteristic value T im , the correction process obtains the first fault correction risk coefficient of each charging pile in each area The second fault correction risk coefficient and the third fault correction risk coefficient are based on the fault indication parameter set of each charging pile in each area, and the fault risk indicator set of each charging pile in each area is obtained, and the fault risk indicator set is any combination of the first fault correction risk coefficient, the second fault correction risk coefficient and the third fault correction risk coefficient; Where δ _1 , δ _1 , δ _1 They are respectively represented as the safety factor corresponding to the unit lightning strike distance of the first fault in the data warehouse, the risk factor corresponding to the unit power usage, and the risk factor corresponding to the use of the heat dissipation device.

7. The electric vehicle charging pile fault diagnosis system according to claim 6, characterized in that: The specific positioning method for locating the lightning strike points in each area is as follows: Based on the magnetic field strength distribution diagram of each charging pile in each area, the magnetic field strength of each lightning monitoring device in each area is obtained, and it is compared with the lightning magnetic field strength convergence value stored in the data warehouse. If the magnetic field strength of a lightning monitoring device is greater than or equal to the lightning magnetic field strength convergence value, the lightning monitoring device is recorded as a risk monitoring device, thereby obtaining each risk monitoring device in each area; Based on the risk monitoring devices in each area, the lightning strike risk circle of each area is drawn, a coordinate system is established with the center point of each area as the origin, and the centroid position of the lightning strike risk circle of each area is determined by existing technology, and the centroid of the lightning strike risk circle of each area is used as the lightning strike point of each area.

8. The electric vehicle charging pile fault diagnosis system according to claim 6, characterized in that: The specific confirmation method of the temperature treatment scheme of each charging pile in each area is as follows: Based on the temperature distribution diagram of each charging pile in each area during the monitoring period, the maximum temperature and temperature change slope of each charging pile in each area are obtained, and compared with the charging pile processing temperature threshold and temperature change slope threshold stored in the data warehouse; If the maximum temperature of a charging pile exceeds the charging pile processing temperature threshold or the temperature change slope is greater than or equal to the temperature change slope threshold, it is determined that the processing method of the charging pile is to adjust the power, and the maximum temperature and temperature change slope of the charging pile are compared with the appropriate power corresponding to each temperature change slope interval preset in the data warehouse in each temperature interval, and the appropriate power of the charging pile is screened; If the maximum temperature of a charging pile exceeds the charging pile processing temperature threshold and the temperature change slope is greater than or equal to the temperature change slope threshold, it is determined that the processing method of the charging pile is auxiliary heat dissipation, thereby obtaining the temperature processing plan for each charging pile in each area.

9. The electric vehicle charging pile fault diagnosis system according to claim 1, characterized in that: The specific implementation method of generating charging pile group labels for each area is as follows: Obtain the fault risk index set of each charging pile in each area. If the number of elements in the fault risk index set of a charging pile is 3, the charging pile is recorded as a charging pile with a first-class group label. If the number of elements in the fault risk index set of a charging pile is 2, the charging pile is recorded as a charging pile with a second-class group label. If the number of elements in the fault risk index set of a charging pile is 1, the charging pile is recorded as a charging pile with a first-class group label. The first-class road group labels of each area are counted and belong to each charging pile to generate a charging pile group one label, the second-class road group labels of each area are counted and belong to each charging pile to generate a charging pile group two label, and the third-class road group labels of each area are counted and belong to each charging pile to generate a charging pile group three label.

10. A method for executing the electric vehicle charging pile fault diagnosis system according to any one of claims 1 to 9, characterized in that: include: Step 1: monitor a number of charging piles in each area to obtain prior monitoring data of the charging piles in each area; Step 2: determine the fault indicator parameter set of each charging pile in each area, and obtain the fault risk indicator set of each charging pile in each area through correction processing; Step 3: Generate charging pile group labels for each area; Step 4: Display the charging pile group labels in each area.

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