An intelligent analysis and processing system for charging pile faults based on smart charging

Abstract

The present invention belongs to the technical field of charging pile management and control, and specifically is a charging pile fault intelligent analysis and processing system based on smart charging, comprising an intelligent management and control platform, a fault intelligent analysis module, a protection mechanism execution module, a charging pile operation evaluation module and a background supervision terminal; the present invention uses the fault intelligent analysis module to intelligently analyze the working status data of the charging pile to determine whether the charging pile has a fault and determine the fault type, the protection mechanism execution module determines a suitable protection strategy based on the corresponding charging pile fault information, and executes the corresponding protection strategy to adaptively and automatically control the charging pile. If there is no suitable protection strategy, the charging pile is manually controlled, which is beneficial to ensuring the safe and stable operation of the charging pile, and can comprehensively evaluate the operating performance of the charging pile, and help to reasonably adjust the management planning scheme of the charging piles in the corresponding area, with a high degree of intelligence.

Description

Technical Field

[0001] The present invention relates to the technical field of charging pile management and control, and in particular to a charging pile fault intelligent analysis and processing system based on smart charging. Background Art

[0002] Charging piles are energy replenishment devices that provide power for electric vehicles. Their functions are similar to those of gas pumps in gas stations. They are commonly installed in public buildings and parking lots in residential areas. They charge various types of electric vehicles by adjusting voltage and current. With the popularization of new energy vehicles, the number and coverage of charging piles are constantly expanding, and they have become an important part of urban infrastructure.

[0003] At present, it is difficult to accurately identify the operating failures of charging piles and take corresponding control measures in a timely manner during their operation. It is also impossible to reasonably evaluate the operating performance of the corresponding charging piles and comprehensively judge the management difficulty of the charging piles in the corresponding area, which is not conducive to the management personnel to carry out targeted management plan adjustments. The intelligence level is low and the safe and stable operation of the charging piles in the corresponding area cannot be guaranteed.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a charging pile fault intelligent analysis and processing system based on smart charging, which solves the problem that the prior art is difficult to accurately identify its operating faults and make corresponding control measures in time, and cannot reasonably evaluate the operating performance of the corresponding charging piles and comprehensively judge the management difficulty of the charging piles in the corresponding area, and has a low degree of intelligence.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A charging pile fault intelligent analysis and processing system based on smart charging includes an intelligent management and control platform, a fault intelligent analysis module, a protection mechanism execution module, a charging pile operation evaluation module and a background supervision terminal; when the charging pile is charging the vehicle, the fault intelligent analysis module monitors the charging process, collects the working status data of the charging pile, and intelligently analyzes the working status data based on deep learning algorithms and big data analysis technology to determine whether the charging pile has a fault and determine the fault type, and sends the charging pile fault information to the protection mechanism execution module and the background supervision terminal via the intelligent management and control platform;

[0008] After receiving the corresponding charging pile fault information, the protection mechanism execution module determines the appropriate protection strategy based on the charging pile fault information, and executes the corresponding protection strategy to adaptively and automatically adjust the charging pile; the background supervision end issues an early warning after receiving the corresponding charging pile fault information. If there is no appropriate protection strategy, the charging pile is manually adjusted; the charging pile operation evaluation module conducts a comprehensive evaluation of the operating performance of the charging pile, generates an excellent meter signal or a poor meter signal of the corresponding charging pile through analysis, and sends the excellent meter signal or the poor meter signal of the corresponding charging pile to the background supervision end via the intelligent management and control platform.

[0009] Furthermore, the intelligent management and control platform is communicatively connected with the fault response monitoring module. The fault response monitoring module detects and analyzes the fault response efficiency of the corresponding charging pile within the detection period, obtains the fault response monitoring value of the corresponding charging pile through analysis, and sends the fault response monitoring value of the corresponding charging pile to the intelligent management and control platform for storage.

[0010] Furthermore, the specific analysis process of the fault response monitoring module is as follows:

[0011] When judging that there is a fault in the charging pile and determining the fault type, the corresponding time is marked as the fault determination time, and the time when the corresponding fault is solved through automatic control or manual control is collected and marked as the fault elimination time, the time difference between the fault elimination time and the fault determination time is calculated to obtain a fault response detection value, and the fault response detection value is numerically compared with the corresponding preset fault response detection threshold. If the fault response detection value exceeds the preset fault response detection threshold, the response symbol YP-1 is assigned to the corresponding fault response process;

[0012] The number of fault response processes corresponding to the response symbol YP-1 within the detection period is obtained and marked as the fault response inefficiency value, and the fault response detection value is ratio-calculated with the corresponding preset fault response detection threshold to obtain the fault response detection value, the average of all fault response detection values ​​within the detection period is calculated to obtain the fault response detection condition value, and the fault response monitoring value is obtained by numerically calculating the fault response inefficiency value and the fault response detection condition value.

[0013] Furthermore, the specific operation process of the charging pile operation evaluation module includes:

[0014] Obtain all charging pile fault information within the detection period, classify the faults based on the fault information of all charging piles, obtain the types of all faults that occur in the corresponding charging piles within the detection period, and mark the number of occurrences of the corresponding type of faults within the detection period as the fault count detection value; set each type of fault to correspond to a set of preset fault weight values ​​in advance, and multiply the fault count detection value of the corresponding type of fault by the corresponding preset fault weight value to obtain the fault danger value;

[0015] The fault risk analysis value is obtained by summing up the fault risk values ​​of all types of faults occurring in the corresponding charging pile within the detection period, and the fault response monitoring value of the corresponding charging pile is retrieved from the intelligent management and control platform. The charging pile operation initial evaluation value is obtained by numerically calculating the fault risk analysis value and the fault response monitoring value. The charging pile operation initial evaluation value is numerically compared with a preset charging pile operation initial evaluation threshold. If the charging pile operation initial evaluation value exceeds the preset charging pile operation initial evaluation threshold, a fault signal of the corresponding charging pile is generated.

[0016] Furthermore, if the charging pile operation initial evaluation value does not exceed the preset charging pile operation initial evaluation threshold, the total working time of the charging pile in the detection period is collected, and the ratio of the charging pile operation initial evaluation value to the total working time is marked as the charging pile fault analysis value, and the input power and output power in the corresponding charging process are obtained, and the output power is calculated by the ratio of the input power to the output power to obtain the transmission energy efficiency value, and the transmission energy efficiency value is numerically compared with the preset transmission energy efficiency threshold. If the transmission energy efficiency value does not exceed the preset transmission energy efficiency threshold, the corresponding charging process is marked as a high-loss process;

[0017] The number of high-loss processes within the detection period is obtained and the ratio is calculated by comparing it with the total number of charging times of the corresponding charging pile within the detection period to obtain the high-loss percentage value, and the average of all transmission energy efficiency values ​​within the detection period is calculated to obtain the transmission efficiency inspection value. The charging pile inspection and evaluation value is obtained by numerically calculating the charging pile fault analysis value, the high-loss percentage value and the transmission efficiency inspection value. The charging pile inspection and evaluation value is numerically compared with the preset charging pile inspection and evaluation threshold. If the charging pile inspection and evaluation value exceeds the preset charging pile inspection and evaluation threshold, a poor meter signal of the corresponding charging pile is generated; if the charging pile inspection and evaluation value does not exceed the preset charging pile inspection and evaluation threshold, a good meter signal of the corresponding charging pile is generated.

[0018] Furthermore, the intelligent monitoring platform is communicatively connected with the charging pile management planning module, which is used to obtain all charging piles that need to be managed in the corresponding area, mark the corresponding charging piles as i, and i is a natural number greater than 1; by performing charging pile management planning analysis on the corresponding area to generate a strong management signal or a weak management signal, and sending the strong management signal or the weak management signal to the background supervision end via the intelligent monitoring platform, the background supervision end issues a corresponding warning when receiving the strong management signal.

[0019] Furthermore, the specific analysis process of charging pile management planning analysis is as follows:

[0020] Several detection time points are set within the detection cycle, and the proportion of the number of charging piles in the corresponding area that are in working state at the corresponding detection time point is collected and marked as the charging number detection value, and the charging number detection values ​​of all detection time points are averaged to obtain the regional analysis value; and the number of charging piles corresponding to the inferior meter signal and the number of charging piles corresponding to the excellent meter signal in the corresponding area are obtained, and the ratio of the number of charging piles corresponding to the inferior meter signal to the number of charging piles corresponding to the excellent meter signal is calculated to obtain the charging pile inferior proportion value;

[0021] The total number of times the corresponding charging pile i is suspended due to a fault within the detection period is obtained and marked as the temporary operation frequency, and the duration of each suspension is marked as the temporary operation duration. All temporary operation durations of the corresponding charging pile i within the detection period are summed up to obtain a temporary operation condition value, and the number of temporary operation durations exceeding a preset temporary operation duration threshold within the detection period is marked as a temporary operation high-inspection value; the charging pile operation stop value is obtained by numerically calculating the temporary operation frequency, the temporary operation condition value and the temporary operation high-inspection value, and the charging pile operation stop value of all charging piles in the corresponding area is averaged to obtain the charging pile stop condition value;

[0022] Through the charging pile collision warning analysis to obtain the charging pile collision damage analysis value, the regional operation analysis value, the charging pile poor occupancy value, the charging pile parking value and the charging pile collision damage analysis value are numerically calculated to obtain the management planning value, and the management planning value is numerically compared with the preset management planning threshold. If the management planning value exceeds the preset management planning threshold, a strong management signal is generated; if the management planning value does not exceed the preset management planning threshold, a weak management signal is generated.

[0023] Furthermore, the specific analysis process of charging pile collision warning analysis is as follows:

[0024] When the corresponding charging pile i is hit, the duration and average collision force data of the corresponding collision process are collected and marked as the collision time detection value and the collision force detection value respectively, the collision time detection value and the collision force detection value are numerically calculated to obtain the collision damage detection value, and the collision damage detection value is numerically compared with the preset collision damage detection threshold. If the collision damage detection value exceeds the preset collision damage detection threshold, the collision symbol TP-1 is assigned to the corresponding collision process;

[0025] The number of times the corresponding charging pile i is assigned with the collision symbol TP-1 within the detection period is obtained and marked as a high-damage collision detection value, the high-damage collision detection values ​​of all the charging piles in the corresponding area are averaged to obtain the charging pile damage measurement value, and the high-damage collision detection value is numerically compared with the preset high-damage collision detection threshold. If the high-damage collision detection value exceeds the preset high-damage collision detection threshold, the corresponding charging pile is marked as a vulnerable pile, the number of vulnerable piles is obtained and the ratio is calculated with the total number of charging piles in the corresponding area to obtain the percentage of vulnerable piles, and the charging pile collision damage analysis value is obtained by numerically calculating the charging pile damage measurement value and the percentage of vulnerable piles.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] 1. In the present invention, the working status data of the charging pile is intelligently analyzed by the fault intelligent analysis module to determine whether the charging pile has a fault and determine the fault type. The protection mechanism execution module determines the corresponding protection strategy based on the corresponding charging pile fault information, and executes the corresponding protection strategy to adaptively and automatically adjust the charging pile. If there is no suitable protection strategy, the charging pile is manually adjusted, which is conducive to ensuring the safe and stable operation of the charging pile. The operation performance of the charging pile is comprehensively evaluated by the charging pile operation evaluation module. When the meter signal is generated, the subsequent continuous key supervision of the corresponding charging pile is strengthened, which significantly reduces the subsequent operation risk of the corresponding charging pile.

[0028] 2. In the present invention, all charging piles that need to be managed in the corresponding area are acquired through the charging pile management planning module, and the charging pile management planning analysis is performed on the corresponding area to generate a strong management signal or a weak management signal. When the strong management signal is generated, reasonable planning is made for the corresponding area, and the supervision of the charging piles in the corresponding area is strengthened to ensure the safe and stable operation of all charging piles in the corresponding area, with a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0030] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0031] Figure 2 This is a system block diagram of Embodiment 2 of the present invention;

[0032] Figure 3 This is a system block diagram of Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0033] 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.

[0034] Embodiment 1: Figure 1 As shown, the present invention proposes a charging pile fault intelligent analysis and processing system based on smart charging, including an intelligent management and control platform, a fault intelligent analysis module, a protection mechanism execution module, a charging pile operation evaluation module and a background supervision terminal;

[0035] When the charging pile is charging the vehicle, the fault intelligent analysis module monitors the charging process, collects the working status data of the charging pile, and intelligently analyzes the working status data based on the deep learning algorithm and big data analysis technology to determine whether the charging pile has a fault and determine the fault type. The charging pile fault information is sent to the protection mechanism execution module and the background supervision end through the intelligent management and control platform; it should be noted that the analysis process of the fault intelligent analysis module is as follows:

[0036] Data preprocessing: Before analysis, the received working status data of the charging pile is preprocessed. The purpose of preprocessing is to improve the quality and accuracy of the data so as to better carry out subsequent analysis. The preprocessing steps include data cleaning (removing noise, outliers and incomplete data), data conversion (converting data into a form suitable for analysis) and data standardization (adjusting data to a unified scale).

[0037] Feature extraction: After preprocessing, key features are extracted from the data. These features are closely related to the failure mode of the charging pile and can reflect the working status and potential problems of the charging pile. The feature extraction methods include statistical methods, signal processing technology and machine learning technology;

[0038] Fault detection: Fault detection is performed using the extracted features. The purpose of fault detection is to determine whether the charging pile has a fault. For example, this can be achieved by comparing the current features with the feature patterns under normal conditions. If there is a significant difference between the current features and the normal patterns, the charging pile is considered to have a fault.

[0039] Fault classification: After a fault is detected, the fault is further classified. The purpose of fault classification is to determine the specific type of the fault so that appropriate processing and control measures can be taken in a timely manner. Fault classification methods include rule-based classification, statistics-based classification, and machine learning-based classification. Among them, rule-based classification: the fault type is judged according to preset rules and thresholds. For example, if the current exceeds a certain threshold, it is considered that there is an overcurrent fault.

[0040] Classification based on statistics: Use historical fault data and statistical models to predict the type of current fault. This method requires a large amount of historical data and complex statistical models. Classification based on machine learning: Use machine learning algorithms (such as decision trees, neural networks, support vector machines, etc.) to train a classifier to identify different fault types. This method requires a large amount of labeled data for training and can provide higher classification accuracy and flexibility.

[0041] After receiving the corresponding charging pile fault information, the protection mechanism execution module determines the appropriate protection strategy (such as overcurrent protection strategy, overvoltage protection strategy and overtemperature protection strategy, etc.) based on the charging pile fault information, and executes the corresponding protection strategy to adaptively and automatically adjust the charging pile; after receiving the corresponding charging pile fault information, the background supervision end issues an early warning. If there is no appropriate protection strategy, the charging pile is manually adjusted to ensure the safe and stable operation of the charging pile;

[0042] The charging pile operation evaluation module comprehensively evaluates the operation performance of the charging pile, generates a good meter signal or a bad meter signal of the corresponding charging pile through analysis, and sends the good meter signal or the bad meter signal of the corresponding charging pile to the background supervision end through the intelligent management and control platform. When the background supervision end receives the bad meter signal, it strengthens the subsequent continuous key supervision of the corresponding charging pile to reduce the subsequent operation risk of the corresponding charging pile. The specific operation process of the charging pile operation evaluation module is as follows:

[0043] A detection cycle of L1 is set, preferably, the detection cycle is forty days; all charging pile fault information within the detection cycle is obtained, and fault classification is performed based on the fault information of all charging piles, thereby obtaining the types of all faults occurring in the corresponding charging piles within the detection cycle, and marking the number of occurrences of the corresponding type of fault within the detection cycle as the fault number detection value; each type of fault is set in advance to correspond to a set of preset fault weight values, wherein the values ​​of the preset fault weight values ​​are all positive numbers, and the greater the safety risk brought by the corresponding type of fault, the greater the value of the preset fault weight value adapted thereto; the fault number detection value of the corresponding type of fault is multiplied by the corresponding preset fault weight value to obtain the fault risk value;

[0044] The fault risk analysis value is obtained by summing up the fault risk values ​​of all types of faults occurring in the corresponding charging pile within the detection period, and the fault response monitoring value of the corresponding charging pile is retrieved from the intelligent management and control platform. The fault risk analysis value GY and the fault response monitoring value GS are numerically calculated by the formula GX=a1*GY+a2*GS to obtain the charging pile operation initial evaluation value GX, wherein a1 and a2 are preset proportional coefficients, and the values ​​of a1 and a2 are both positive numbers; and the larger the value of the charging pile operation initial evaluation value GX, the worse the fault performance and response condition of the corresponding charging pile within the detection period; the charging pile operation initial evaluation value GX is numerically compared with the preset charging pile operation initial evaluation threshold. If the charging pile operation initial evaluation value GX exceeds the preset charging pile operation initial evaluation threshold, it indicates that the fault performance and response condition of the corresponding charging pile within the detection period are poor, and subsequent supervision needs to be strengthened, then a poor performance signal of the corresponding charging pile is generated.

[0045] Furthermore, if the charging pile operation initial evaluation value GX does not exceed the preset charging pile operation initial evaluation threshold, the total working time of the charging pile in the detection period is collected, and the ratio of the charging pile operation initial evaluation value to the total working time is marked as the charging pile fault analysis value, and the input power and output power in the corresponding charging process are obtained, and the output power is calculated by the ratio of the input power to the output power to obtain the transmission energy efficiency value, and the transmission energy efficiency value is numerically compared with the preset transmission energy efficiency threshold. If the transmission energy efficiency value does not exceed the preset transmission energy efficiency threshold, it indicates that the energy loss of the corresponding charging process is large, and the corresponding charging process is marked as a high-loss process;

[0046] The number of high-loss processes in the detection period is obtained and the ratio thereof is calculated with the total number of charging times of the corresponding charging pile in the detection period to obtain the high-loss number percentage, and the average of all transmission energy efficiency values ​​in the detection period is calculated to obtain the transmission efficiency detection value;

[0047] The charging pile fault analysis value WF, the high loss number value WY and the transmission efficiency inspection value WK are numerically calculated by the formula WX=hq1*WF+hq2*WY+hq3*(1-WK) to obtain the charging pile inspection value WX, wherein hq1, hq2, and hq3 are preset proportional coefficients, and the values ​​of hq1, hq2, and hq3 are all positive numbers; and the larger the value of the charging pile inspection value WX, the worse the operating performance of the corresponding charging pile during the detection period; the charging pile inspection value WX is numerically compared with the preset charging pile inspection threshold value. If the charging pile inspection value WX exceeds the preset charging pile inspection threshold value, it indicates that the operating performance of the corresponding charging pile during the detection period is poor, and a poor meter signal of the corresponding charging pile is generated; if the charging pile inspection value WX does not exceed the preset charging pile inspection threshold value, it indicates that the operating performance of the corresponding charging pile during the detection period is good, and a good meter signal of the corresponding charging pile is generated.

[0048] Embodiment 2: Figure 2 As shown, the difference between this embodiment and embodiment 1 is that the intelligent management and control platform is connected in communication with the fault response monitoring module, and the fault response monitoring module detects and analyzes the fault response efficiency of the corresponding charging pile within the detection period, obtains the fault response monitoring value of the corresponding charging pile through analysis, and sends the fault response monitoring value of the corresponding charging pile to the intelligent management and control platform for storage, which can not only reasonably analyze and accurately feedback the fault response performance of the corresponding charging pile within the detection period, but also provide data support for the analysis process of the charging pile operation evaluation module to ensure the accuracy of its analysis results; the specific analysis process of the fault response monitoring module is as follows:

[0049] When judging that there is a fault in the charging pile and determining the fault type, the corresponding moment is marked as the fault determination moment, and the moment when the corresponding fault is solved through automatic control or manual control is collected and marked as the fault elimination moment, and the time difference between the fault elimination moment and the fault determination moment is calculated to obtain a fault response detection value, wherein the larger the value of the fault response detection value is, the slower the response efficiency for the corresponding fault is; the fault response detection value is numerically compared with the corresponding preset fault response detection threshold value, if the fault response detection value exceeds the preset fault response detection threshold value, indicating that the response efficiency for the corresponding fault is relatively slow, then the response symbol YP-1 is assigned to the corresponding fault response process;

[0050] The number of fault response processes corresponding to the response symbol YP-1 in the detection cycle is obtained and marked as the fault response inefficiency value, and the fault response detection value is calculated by ratio with the corresponding preset fault response detection threshold to obtain the fault response detection value, and all fault response detection values ​​in the detection cycle are averaged to obtain the fault response detection value. The fault response inefficiency value GF and the fault response detection value GW are numerically calculated to obtain the fault response monitoring value GS; wherein, fg1 and fg2 are preset proportional coefficients, and the values ​​of fg1 and fg2 are both positive numbers; and, the larger the value of the fault response monitoring value GS, the worse the fault response performance for the corresponding charging pile during the detection period.

[0051] Embodiment 3: Figure 3 As shown, the difference between this embodiment and embodiment 1 and embodiment 2 is that the intelligent monitoring platform is connected to the charging pile management planning module in communication, the intelligent monitoring platform obtains the area where the charging pile management is required, and the charging pile management planning module obtains all the charging piles that need to be managed in the corresponding area, and marks the corresponding charging pile as i, and i is a natural number greater than 1;

[0052] By analyzing the charging pile management planning of the corresponding area to generate a strong management signal or a weak management signal, and sending the strong management signal or the weak management signal to the background supervision end through the intelligent monitoring platform, the background supervision end will issue a corresponding warning when receiving the strong management signal. When the management personnel receive the warning, they will make reasonable plans for the corresponding area, strengthen the supervision of the charging piles in the corresponding area, and ensure the safe and stable operation of all charging piles in the corresponding area, with a high degree of intelligence; the specific analysis process of the charging pile management planning analysis is as follows:

[0053] Several detection time points are set within the detection cycle, and the proportion of the number of charging piles in the corresponding area that are in working state at the corresponding detection time point is collected and marked as the charging number detection value, and the charging number detection values ​​of all detection time points are averaged to obtain the regional analysis value; and the number of charging piles corresponding to the inferior meter signal and the number of charging piles corresponding to the excellent meter signal in the corresponding area are obtained, and the ratio of the number of charging piles corresponding to the inferior meter signal to the number of charging piles corresponding to the excellent meter signal is calculated to obtain the charging pile inferior proportion value;

[0054] The total number of times the corresponding charging pile i is suspended due to a fault during the detection period is obtained and marked as the temporary operation frequency, and the duration of each suspension is marked as the temporary operation duration. All temporary operation durations of the corresponding charging piles during the detection period are summed up to obtain the temporary operation condition value, and the number of temporary operation durations exceeding the preset temporary operation duration threshold during the detection period is marked as the temporary operation high detection value;

[0055] By formula The temporary operation frequency RKi, the temporary operation condition value RPi and the temporary operation high detection value RLi are numerically calculated to obtain the charging pile operation stop value RWi, wherein tp1, tp2 and tp3 are preset proportional coefficients, tp3>tp1>tp2>0; and the larger the value of the charging pile operation stop value RWi, the worse the operation condition of the corresponding charging pile i during the detection period; the charging pile operation stop value of all charging piles in the corresponding area is averaged to obtain the charging pile stop condition value;

[0056] The collision damage analysis value of the charging pile is obtained through the collision warning analysis of the charging pile, specifically: when the corresponding charging pile i is collided, the duration of the corresponding collision process and the average collision force data are collected and marked as the collision time detection value and the collision force detection value respectively, and the collision time detection value PRi and the collision force detection value PWi are numerically calculated by the formula PXi=c1*PRi+c2*PWi to obtain the collision damage detection value PXi, wherein c1 and c2 are preset proportional coefficients, and the values ​​of c1 and c2 are both greater than zero;

[0057] Moreover, the larger the value of the collision damage detection value PXi is, the greater the damage caused to the charging pile i by the corresponding collision process is; the collision damage detection value PXi is numerically compared with the preset collision damage detection threshold value, and if the collision damage detection value PXi exceeds the preset collision damage detection threshold value, it indicates that the corresponding collision process has caused greater damage to the charging pile i, and the collision symbol TP-1 is assigned to the corresponding collision process;

[0058] The number of times the corresponding charging pile i is assigned the collision symbol TP-1 within the detection period is obtained and marked as a high-damage collision detection value, the high-damage collision detection values ​​of all charging piles in the corresponding area are averaged to obtain a charging pile damage value, and the high-damage collision detection value is numerically compared with a preset high-damage collision detection threshold. If the high-damage collision detection value exceeds the preset high-damage collision detection threshold, the corresponding charging pile is marked as a vulnerable pile;

[0059] The number of vulnerable piles is obtained and the ratio is calculated with the total number of charging piles in the corresponding area to obtain the percentage of vulnerable piles. The charging pile damage measurement value QW and the percentage of vulnerable piles QK are numerically calculated by the formula QF=ry1*QW+ry2*QK to obtain the charging pile collision damage value QF; wherein ry1 and ry2 are preset proportional coefficients, the values ​​of ry1 and ry2 are both positive numbers, and the larger the value of the charging pile collision damage value QF, the greater the collision risk of the charging piles in the corresponding area;

[0060] By formula The regional operation value YK, the charging pile occupancy value YN, the charging pile stop value YW and the charging pile collision damage value QF are numerically calculated to obtain the management planning value YX, wherein fy1, fy2, fy3, and fy4 are preset proportional coefficients, and the values ​​of fy1, fy2, fy3, and fy4 are all positive numbers; and the larger the numerical value of the management planning value YX, the greater the management difficulty of the charging piles in the corresponding area, and the more it is necessary to strengthen the management of the charging piles in the corresponding area in the future; the management planning value YX is numerically compared with the preset management planning threshold. If the management planning value YX exceeds the preset management planning threshold, it indicates that the management difficulty of the charging piles in the corresponding area is greater, and a strong management signal is generated; if the management planning value YX does not exceed the preset management planning threshold, it indicates that the management difficulty of the charging piles in the corresponding area is smaller, and a weak management signal is generated.

[0061] The working principle of the present invention: when in use, the working status data of the charging pile is intelligently analyzed through the fault intelligent analysis module to determine whether the charging pile has a fault and determine the fault type. The protection mechanism execution module determines the corresponding protection strategy based on the corresponding charging pile fault information, and executes the corresponding protection strategy to adaptively and automatically adjust the charging pile to realize the intelligent charging of the charging pile. If there is no suitable protection strategy, the charging pile is manually adjusted, which is beneficial to ensure the safe and stable operation of the charging pile. The charging pile operation evaluation module is used to comprehensively evaluate the operating performance of the charging pile, and the excellent meter signal or the poor meter signal of the corresponding charging pile is generated through analysis. When the poor meter signal is generated, the subsequent continuous key supervision of the corresponding charging pile is strengthened, which significantly reduces the subsequent operation risk of the corresponding charging pile.

[0062] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A charging pile fault intelligent analysis and processing system based on smart charging, characterized in that: It includes an intelligent management and control platform, a fault intelligent analysis module, a protection mechanism execution module, a charging pile operation evaluation module and a background supervision terminal; when the charging pile is charging the vehicle, the fault intelligent analysis module monitors the charging process, collects the working status data of the charging pile, and intelligently analyzes the working status data based on deep learning algorithms and big data analysis technology to determine whether the charging pile has a fault and determine the fault type, and sends the charging pile fault information to the protection mechanism execution module and the background supervision terminal via the intelligent management and control platform; After receiving the corresponding charging pile fault information, the protection mechanism execution module determines the appropriate protection strategy based on the charging pile fault information, and executes the corresponding protection strategy to adaptively and automatically control the charging pile; After receiving the corresponding charging pile fault information, the backend monitoring terminal issues an early warning. If there is no matching protection strategy, the charging pile is manually adjusted; The charging pile operation evaluation module comprehensively evaluates the operation performance of the charging pile, generates a good meter signal or a bad meter signal of the corresponding charging pile through analysis, and sends the good meter signal or the bad meter signal of the corresponding charging pile to the backend supervision end through the intelligent management and control platform; The intelligent management and control platform is connected in communication with the fault response monitoring module. The fault response monitoring module detects and analyzes the fault response efficiency of the corresponding charging pile within the detection period, obtains the fault response monitoring value of the corresponding charging pile through analysis, and sends the fault response monitoring value of the corresponding charging pile to the intelligent management and control platform for storage; The specific analysis process of the fault response monitoring module is as follows: When judging that there is a fault in the charging pile and determining the fault type, the corresponding time is marked as the fault determination time, and the time when the corresponding fault is solved through automatic control or manual control is collected and marked as the fault elimination time, the time difference between the fault elimination time and the fault determination time is calculated to obtain a fault response detection value, and the fault response detection value is numerically compared with the corresponding preset fault response detection threshold. If the fault response detection value exceeds the preset fault response detection threshold, the response symbol YP-1 is assigned to the corresponding fault response process; The number of fault response processes corresponding to the response symbol YP-1 within the detection cycle is obtained and marked as the fault response inefficiency value, and the fault response detection value is calculated by ratio with the corresponding preset fault response detection threshold to obtain the fault response detection value, and all fault response detection values ​​within the detection cycle are averaged to obtain the fault response detection value; through the formula The fault response inefficiency value GF and the fault response detection value GW are numerically calculated to obtain the fault response monitoring value GS; wherein fg1 and fg2 are preset proportional coefficients, and the values ​​of fg1 and fg2 are both positive numbers.

2. According to claim 1, a charging pile fault intelligent analysis and processing system based on smart charging is characterized in that: The specific operation process of the charging pile operation evaluation module includes: Obtain all charging pile fault information within the detection period, classify the faults based on the fault information of all charging piles, obtain the types of all faults that occur in the corresponding charging piles within the detection period, and mark the number of occurrences of the corresponding type of faults within the detection period as the fault count detection value; set each type of fault to correspond to a set of preset fault weight values ​​in advance, and multiply the fault count detection value of the corresponding type of fault by the corresponding preset fault weight value to obtain the fault danger value; The fault risk analysis value is obtained by summing up the fault risk values ​​of all types of faults occurring in the corresponding charging pile within the detection period, and the fault response monitoring value of the corresponding charging pile is retrieved from the intelligent management and control platform. The fault risk analysis value GY and the fault response monitoring value GS are numerically calculated using the formula GX=a1*GY+a2*GS to obtain the charging pile operation initial evaluation value GX, wherein a1 and a2 are preset proportional coefficients, and the values ​​of a1 and a2 are both positive numbers; the charging pile operation initial evaluation value is numerically compared with the preset charging pile operation initial evaluation threshold. If the charging pile operation initial evaluation value exceeds the preset charging pile operation initial evaluation threshold, a bad meter signal of the corresponding charging pile is generated.

3. According to claim 2, a charging pile fault intelligent analysis and processing system based on smart charging is characterized in that: If the charging pile operation initial evaluation value does not exceed the preset charging pile operation initial evaluation threshold, the total working time of the charging pile in the detection period is collected, and the ratio of the charging pile operation initial evaluation value to the total working time is marked as the charging pile fault analysis value, and the input power and output power in the corresponding charging process are obtained, and the output power is calculated by the ratio of the input power to the output power to obtain the transmission energy efficiency value, and the transmission energy efficiency value is numerically compared with the preset transmission energy efficiency threshold. If the transmission energy efficiency value does not exceed the preset transmission energy efficiency threshold, the corresponding charging process is marked as a high-loss process; The number of high-loss processes in the detection period is obtained and the ratio thereof is calculated with the total number of charging times of the corresponding charging pile in the detection period to obtain the high-loss number percentage, and the average of all transmission energy efficiency values ​​in the detection period is calculated to obtain the transmission efficiency detection value; The charging pile fault analysis value WF, the high loss number value WY and the transmission efficiency inspection value WK are numerically calculated by the formula WX=hq1*WF+hq2*WY+hq3*(1-WK) to obtain the charging pile inspection value WX, where hq1, hq2, and hq3 are preset proportional coefficients, and the values ​​of hq1, hq2, and hq3 are all positive numbers; the charging pile inspection value is numerically compared with the preset charging pile inspection threshold. If the charging pile inspection value exceeds the preset charging pile inspection threshold, a poor meter signal of the corresponding charging pile is generated; if the charging pile inspection value does not exceed the preset charging pile inspection threshold, a good meter signal of the corresponding charging pile is generated.

4. According to claim 1, a charging pile fault intelligent analysis and processing system based on smart charging is characterized in that: The intelligent monitoring platform is communicated with the charging pile management planning module. The charging pile management planning module is used to obtain all charging piles that need to be managed in the corresponding area, mark the corresponding charging pile as i, and i is a natural number greater than 1; the charging pile management planning analysis of the corresponding area is performed to generate a strong management signal or a weak management signal, and the strong management signal or the weak management signal is sent to the background supervision end via the intelligent monitoring platform.

5. According to claim 4, a charging pile fault intelligent analysis and processing system based on smart charging is characterized in that: The specific analysis process of charging pile management planning analysis is as follows: Several detection time points are set within the detection cycle, and the proportion of the number of charging piles in the corresponding area that are in working state at the corresponding detection time point is collected and marked as the charging number detection value, and the charging number detection values ​​of all detection time points are averaged to obtain the regional analysis value; and the number of charging piles corresponding to the inferior meter signal and the number of charging piles corresponding to the excellent meter signal in the corresponding area are obtained, and the ratio of the number of charging piles corresponding to the inferior meter signal to the number of charging piles corresponding to the excellent meter signal is calculated to obtain the charging pile inferior proportion value; The total number of times the corresponding charging pile i is suspended due to a fault during the detection period is obtained and marked as the temporary operation frequency, and the duration of each suspension is marked as the temporary operation duration. All temporary operation durations of the corresponding charging pile i during the detection period are summed up to obtain the temporary operation condition value, and the number of temporary operation durations exceeding the preset temporary operation duration threshold during the detection period is marked as the temporary operation high detection value; By formula The temporary operation frequency RKi, the temporary operation condition value RPi and the temporary operation high detection value RLi are numerically calculated to obtain the charging pile operation stop value RWi, wherein tp1, tp2, and tp3 are preset proportional coefficients, and tp3>tp1>tp2>0; the charging pile operation stop values ​​of all charging piles in the corresponding area are averaged to obtain the charging pile stop condition value; By formula The regional operation analysis value YK, the charging pile inferior occupancy value YN, the charging pile stop condition value YW and the charging pile collision damage analysis value QF are numerically calculated to obtain the management planning value YX, where fy1, fy2, fy3, and fy4 are preset proportional coefficients, and the values ​​of fy1, fy2, fy3, and fy4 are all positive numbers; The management planning value is numerically compared with the preset management planning threshold. If the management planning value exceeds the preset management planning threshold, a strong management signal is generated; if the management planning value does not exceed the preset management planning threshold, a weak management signal is generated.

6. The intelligent analysis and processing system for charging pile faults based on smart charging according to claim 5 is characterized in that: The specific analysis process of charging pile collision warning analysis is as follows: When the corresponding charging pile i is hit, the duration and average collision force data of the corresponding collision process are collected and marked as the collision time detection value and the collision force detection value respectively. The collision time detection value PRi and the collision force detection value PWi are numerically calculated by the formula PXi=c1*PRi+c2*PWi to obtain the collision damage detection value PXi, where c1 and c2 are preset proportional coefficients, and the values ​​of c1 and c2 are both greater than zero; the collision damage detection value is numerically compared with the preset collision damage detection threshold. If the collision damage detection value exceeds the preset collision damage detection threshold, the collision symbol TP-1 is assigned to the corresponding collision process; The number of times the corresponding charging pile i is assigned with the collision symbol TP-1 within the detection period is obtained and marked as a high-damage collision detection value, the high-damage collision detection values ​​of all charging piles in the corresponding area are averaged to obtain the charging pile damage value, and the high-damage collision detection value is numerically compared with the preset high-damage collision detection threshold. If the high-damage collision detection value exceeds the preset high-damage collision detection threshold, the corresponding charging pile is marked as a vulnerable pile, the number of vulnerable piles is obtained and the ratio is calculated to the total number of charging piles in the corresponding area to obtain the percentage of vulnerable piles; The charging pile collision damage value QF is obtained by numerically calculating the charging pile damage measurement value QW and the vulnerable pile number value QK through the formula QF=ry1*QW+ry2*QK; among them, ry1 and ry2 are preset proportional coefficients, and the values ​​of ry1 and ry2 are both positive numbers.

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