A charging pile charging efficiency monitoring system based on artificial intelligence

Abstract

The present invention belongs to the technical field of charging pile supervision, and specifically is a charging pile charging efficiency monitoring system based on artificial intelligence, comprising a charging efficiency monitoring module, a charging pile aging analysis module, a charging pile operation and maintenance detection module, a charging cable diagnosis module, an environmental impact assessment module and a background management terminal; the present invention monitors the charging efficiency of the charging pile through the charging efficiency monitoring module, can reasonably analyze and accurately feedback the charging efficiency performance of the charging pile, performs charging pile aging analysis when generating a charging efficiency unqualified signal, analyzes the operation and maintenance urgency of the charging pile when generating a charging pile low-loss signal, performs abnormal diagnosis on the charging cable when generating an operation and maintenance low-emergency signal, analyzes the environment in which the charging pile is located when generating a charging cable lossless signal, can perform progressive and accurate diagnosis on the cause of abnormal charging efficiency, ensure the charging efficiency and charging safety of the charging pile, and has a high degree of intelligence.

Description

Technical Field

[0001] The present invention relates to the technical field of charging pile supervision, and in particular to a charging pile charging efficiency monitoring system based on artificial intelligence. Background Art

[0002] Charging piles are devices that provide electric energy for electric vehicles. They can convert AC or DC power into the voltage and current required by electric vehicles to achieve fast charging. Charging piles are generally installed in public buildings and residential parking lots. With the popularization of electric vehicles, the demand for charging piles is growing;

[0003] However, the current management of charging piles is poor, and it is unable to effectively monitor and accurately feedback the charging efficiency of charging piles. When the charging efficiency of charging piles is poor, it is unable to achieve progressive and accurate diagnosis of the causes of abnormal charging efficiency, which is not conducive to ensuring the charging efficiency and charging safety of charging piles, and the degree of intelligence is low.

[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 charging efficiency monitoring system based on artificial intelligence, which solves the problems that the prior art cannot effectively monitor and accurately feedback the charging efficiency status of the charging pile, and cannot realize progressive and accurate diagnosis of the causes of abnormal charging efficiency when the charging efficiency of the charging pile is poor, and has a low level of intelligence.

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

[0007] A charging pile charging efficiency monitoring system based on artificial intelligence includes a charging efficiency monitoring module, a charging pile aging analysis module, a charging pile operation and maintenance detection module, a charging cable diagnosis module, an environmental impact assessment module and a background management terminal; when the charging pile is charging an electric vehicle battery, the charging efficiency monitoring module monitors the charging efficiency of the charging pile, generates a charging efficiency qualified signal or a charging efficiency unqualified signal through analysis, and sends the charging efficiency unqualified signal to the background management terminal and the charging pile aging analysis module;

[0008] When the charging pile aging analysis module receives a signal indicating that the charging efficiency is unqualified, it generates a charging pile high-loss signal or a charging pile low-loss signal through the charging pile aging analysis, and sends the charging pile high-loss signal to the background management terminal, and sends the charging pile low-loss signal to the charging pile operation and maintenance detection module; when the charging pile operation and maintenance detection module receives the charging pile low-loss signal, it analyzes the operation and maintenance urgency of the charging pile, generates an operation and maintenance non-timely signal or an operation and maintenance low-urgency signal through analysis, and sends the operation and maintenance non-timely signal to the background management terminal, and sends the operation and maintenance low-urgency signal to the charging cable diagnosis module;

[0009] When the charging cable diagnosis module receives the operation and maintenance low emergency signal, it obtains the charging cable used by the charging pile for charging, diagnoses the abnormality of the charging cable and generates a charging cable damage signal or a charging cable intact signal, and sends the charging cable damage signal to the background management terminal, and sends the charging cable intact signal to the environmental impact assessment module; when the environmental impact assessment module receives the charging cable intact signal, it analyzes the environment in which the charging pile is located, generates an environmental high impact signal or an environmental low impact signal through analysis, and sends the environmental high impact signal or the environmental low impact signal to the background management terminal.

[0010] Furthermore, the specific operation process of the charging efficiency monitoring module includes:

[0011] A number of detection periods are set in a unit time, the electric energy input from the charging pile to the electric vehicle battery in the corresponding detection period is collected and marked as the charging pile output value, and the total electric energy received by the charging pile in the corresponding detection period is collected and marked as the charging pile input value, and the ratio of the charging pile output value to the charging pile input value is marked as the charging efficiency value;

[0012] Compare the charging efficiency value with the preset charging efficiency threshold. If the charging efficiency value does not exceed the preset charging efficiency threshold, mark the corresponding detection period as an abnormal discharge period. Obtain the number of abnormal discharge periods per unit time and mark them as abnormal discharge condition values. Calculate the average of the charging efficiency values ​​of all detection periods to obtain the charging efficiency value, and mark the charging efficiency value with the smallest value as the low charging detection value.

[0013] The charging efficiency monitoring value is obtained by numerically calculating the abnormal discharge condition value, the charging efficiency condition value and the charging low detection value, and the charging efficiency monitoring value is numerically compared with the preset charging efficiency monitoring threshold. If the charging efficiency monitoring value exceeds the preset charging efficiency monitoring threshold, an abnormal charging efficiency signal is generated; if the charging efficiency monitoring value does not exceed the preset charging efficiency monitoring threshold, a normal charging efficiency signal is generated.

[0014] Furthermore, the specific analysis process of charging pile aging analysis is as follows:

[0015] The production date of the charging pile is collected, and the interval between the production date and the current date is marked as the production time value of the charging pile. The total number of times the charging pile charges the electric vehicle battery in the historical stage is collected and marked as the total charging frequency value, and the duration of each charging process of the charging pile is marked as the charging single duration value. The number of charging single duration values ​​that exceed the preset charging single duration threshold in the historical stage is marked as the long operation frequency, and all charging single duration values ​​in the historical stage are summed up to obtain the charging condition value;

[0016] The charging pile aging value is obtained by numerically calculating the charging pile production time value, total charging frequency value, long operation frequency and charging condition value, and the charging pile aging value is numerically compared with the preset charging pile aging threshold. If the charging pile aging value exceeds the preset charging pile aging threshold, a charging pile high loss signal is generated; if the charging pile aging value does not exceed the preset charging pile aging threshold, a charging pile low loss signal is generated.

[0017] Furthermore, the specific operation process of the charging pile operation and maintenance detection module includes:

[0018] Collect the time when the charging pile was operated and maintained adjacently and mark it as the adjacent maintenance time, mark the interval between the current time and the adjacent maintenance time as the charging pile operation and maintenance interval value, and mark the working time of the charging pile within the interval between the current time and the adjacent maintenance time as the maintenance interval operation value;

[0019] By analyzing and obtaining all charging binding duration values ​​of the charging piles within the interval between the current moment and the adjacent maintenance moment, the charging binding duration value is numerically compared with the preset charging binding duration threshold. If the charging binding duration value exceeds the preset charging binding duration threshold, the corresponding charging binding duration value is marked as a high binding duration value, the number of high binding duration values ​​corresponding to the charging piles within the interval between the current moment and the adjacent maintenance moment is obtained and marked as a high binding value, and the high binding duration value with the largest value is marked as a high binding amplitude value;

[0020] The charging pile maintenance emergency value is obtained by numerically calculating the charging pile operation and maintenance interval value, maintenance interval value, high binding number inspection value and high binding amplitude value, and the charging pile maintenance emergency value is numerically compared with the preset charging pile maintenance emergency threshold. If the charging pile maintenance emergency value exceeds the preset charging pile maintenance emergency threshold, an operation and maintenance non-timely signal is generated; if the charging pile maintenance emergency value does not exceed the preset charging pile maintenance emergency threshold, an operation and maintenance low emergency signal is generated.

[0021] Furthermore, the method for analyzing and obtaining the charging binding duration value is as follows:

[0022] Obtain all charging processes of the charging pile within the interval between the current moment and the adjacent moment, calculate the time difference between the charging start moment of the corresponding charging process and the charging end moment of the previous adjacent charging process to obtain the idle measurement duration, compare the idle measurement duration with the preset idle measurement duration threshold, if the idle measurement duration does not exceed the preset idle measurement duration threshold, mark the previous adjacent charging process as the binding process of the corresponding charging process, and continue to trace back until the idle measurement duration of two adjacent groups of charging processes exceeds the preset idle measurement duration threshold, sort all the binding processes of the corresponding charging process in chronological order, calculate the time difference between the charging start moment of the first group of binding processes and the charging end moment of the corresponding charging process to obtain the charging binding duration value.

[0023] Furthermore, the specific operation process of the charging cable diagnostic module includes:

[0024] A charging cable used by the charging pile for charging is obtained, the depth of the charging gun entering the charging port of the electric vehicle is marked as the insertion depth, the insertion depth is numerically compared with a preset insertion depth threshold, and if the insertion depth does not exceed the preset insertion depth threshold, a charging cable damage signal is generated;

[0025] If the insertion depth exceeds the preset insertion depth threshold, several detection points are set on the insertion end of the charging gun. When the insertion end of the charging gun is inserted into the charging port of the electric vehicle and charging begins, the position of the corresponding detection point is collected and marked as the initial position. The distance between the current position of the corresponding detection point and the corresponding initial position is calculated to obtain the point displacement value; if there is a detection point whose point displacement value exceeds the preset point displacement threshold, a charging cable damage signal is generated;

[0026] If there is no detection point whose point shift value exceeds the preset point shift threshold, the point shift values ​​of all detection points are averaged to obtain the plugging instability value, and the plugging instability value is numerically compared with the preset plugging instability threshold. If the plugging instability value exceeds the preset plugging instability threshold, a charging cable damage signal is generated.

[0027] Furthermore, if the plugging instability value does not exceed the preset plugging instability threshold, the temperature growth value of the corresponding position on the charging cable within a unit time is collected, and the temperature growth value of the corresponding position is numerically compared with the preset temperature growth threshold. If the temperature growth value exceeds the preset temperature growth threshold, the corresponding position is marked as a temperature-dangerous position; if there is a temperature-dangerous position on the charging cable, a charging cable damage signal is generated;

[0028] If there is no temperature-hazardous position on the charging cable, the temperature growth values ​​of all positions are averaged to obtain the cable temperature increase value, and the cable temperature increase value is numerically compared with the preset cable temperature increase threshold. If the cable temperature increase value exceeds the preset cable temperature increase threshold, a charging cable loss signal is generated; if the cable temperature increase value does not exceed the preset cable temperature increase threshold, a charging cable lossless signal is generated.

[0029] Furthermore, the specific operation process of the environmental impact assessment module includes:

[0030] The ambient temperature and ambient humidity of the environment where the charging pile is located are obtained, and the deviation value of the ambient temperature compared with the preset suitable temperature standard value is marked as the charging temperature detection value, and the deviation value of the ambient humidity compared with the preset suitable humidity standard value is marked as the charging humidity detection value, and the dust pollution value of the environment where the charging pile is located is collected, and the charging environment detection value is obtained by numerically calculating the charging temperature detection value, the charging humidity detection value and the dust pollution value, and the charging environment detection value is numerically compared with the preset charging environment detection threshold value. If the charging environment detection value exceeds the preset charging environment detection threshold value, it is determined that the charging pile is in an abnormal charging environment state;

[0031] The total time that the charging pile is in the abnormal charging environment state within a unit time is obtained and marked as the charging environment inspection time value, and the average of all charging environment inspection values ​​within a unit time is calculated to obtain the charging environment inspection condition value, and the charging environment inspection value with the largest value within a unit time is marked as the charging environment inspection amplitude value, and the charging environment inspection evaluation value is obtained by numerically calculating the charging environment inspection time value, the charging environment inspection condition value and the charging environment inspection amplitude value, and the charging environment inspection evaluation value is numerically compared with the preset charging environment inspection evaluation threshold value. If the charging environment inspection evaluation value exceeds the preset charging environment inspection threshold value, a high environmental impact signal is generated; if the charging environment inspection value does not exceed the preset charging environment inspection threshold value, a low environmental impact signal is generated.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] 1. In the present invention, the charging efficiency of the charging pile is monitored by the charging efficiency monitoring module, and a qualified charging efficiency signal or a unqualified charging efficiency signal is generated by analysis, so that the charging efficiency performance of the charging pile can be reasonably analyzed and accurately fed back, so that corresponding improvement and optimization measures can be made in time, thereby ensuring the charging efficiency and charging safety of the charging pile;

[0034] 2. In the present invention, when generating a charging efficiency unqualified signal, an aging analysis of the charging pile is performed, when generating a charging pile low-loss signal, the operation and maintenance urgency of the charging pile is analyzed, when generating an operation and maintenance low-emergency signal, an abnormality diagnosis of the charging cable is performed, and when generating a charging cable lossless signal, the environment in which the charging pile is located is analyzed. When it is determined that the charging efficiency of the charging pile is poor, the cause of the abnormality can be automatically and progressively diagnosed accurately, which is beneficial to ensuring the charging efficiency and charging safety of the charging pile, and has a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0036] Figure 1 is the overall system block diagram of the present invention;

[0037] Figure 2The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0038] 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.

[0039] Embodiment 1: Figure 1 As shown, the present invention proposes an artificial intelligence-based charging pile charging efficiency monitoring system, including a charging efficiency monitoring module, a charging pile aging analysis module, a charging pile operation and maintenance detection module, a charging cable diagnosis module, an environmental impact assessment module and a background management terminal;

[0040] Among them, when the charging pile charges the electric vehicle battery, the charging efficiency monitoring module monitors the charging efficiency of the charging pile, generates a qualified charging efficiency signal or a unqualified charging efficiency signal through analysis, and sends the unqualified charging efficiency signal to the background management terminal and the charging pile aging analysis module, which can reasonably analyze and accurately feedback the charging efficiency performance of the charging pile, so as to make corresponding improvement and optimization measures in time, thereby ensuring the charging efficiency and charging safety of the charging pile; the specific operation process of the charging efficiency monitoring module is as follows:

[0041] Several detection periods are set within a unit time, and the electric energy input from the charging pile to the electric vehicle battery during the corresponding detection period is collected and marked as the charging pile output value, and the total electric energy received by the charging pile during the corresponding detection period is collected and marked as the charging pile input value, and the ratio of the charging pile output value to the charging pile input value is marked as the charging efficiency value; it should be noted that the larger the value of the charging efficiency value, the higher the electric energy conversion rate of the charging pile in the corresponding detection period, and the higher the charging efficiency;

[0042] Compare the charging efficiency value with the preset charging efficiency threshold. If the charging efficiency value does not exceed the preset charging efficiency threshold, it indicates that the electric energy conversion rate of the charging pile in the corresponding detection period is low, and the corresponding detection period is marked as an abnormal discharge period. The number of abnormal discharge periods per unit time is obtained and marked as an abnormal discharge condition value. The charging efficiency values ​​of all detection periods are averaged to obtain the charging efficiency value, and the charging efficiency value with the smallest value is marked as a low charging detection value.

[0043] By formula The abnormal discharge condition value WK, the charging efficiency condition value WP and the low charging detection value WL are numerically calculated to obtain the charging efficiency monitoring value WX, wherein a1, a2 and a3 are preset proportional coefficients, and the values ​​of a1, a2 and a3 are all positive numbers; and the larger the value of the charging efficiency monitoring value WX is, the worse the charging efficiency performance of the charging pile per unit time is in general;

[0044] The charging efficiency monitoring value WX is numerically compared with the preset charging efficiency monitoring threshold. If the charging efficiency monitoring value WX exceeds the preset charging efficiency monitoring threshold, it indicates that the charging efficiency of the charging pile per unit time is poor on the whole, and a charging efficiency abnormal signal is generated; if the charging efficiency monitoring value WX does not exceed the preset charging efficiency monitoring threshold, it indicates that the charging efficiency of the charging pile per unit time is good on the whole, and a charging efficiency normal signal is generated.

[0045] When the charging pile aging analysis module receives a signal indicating that the charging efficiency is unqualified, it generates a high-loss signal or a low-loss signal through the aging analysis of the charging pile, and sends the high-loss signal to the background management terminal, and sends the low-loss signal to the charging pile operation and maintenance detection module. It can automatically analyze and determine the correlation between the poor charging efficiency performance of the charging pile and the aging of the charging pile, so as to remind the management personnel to replace the corresponding charging pile in time. The specific analysis process of the charging pile aging analysis is as follows:

[0046] The production date of the charging pile is collected, and the interval between the production date and the current date is marked as the production time value of the charging pile. The total number of times the charging pile charges the electric vehicle battery in the historical stage is collected and marked as the total charging frequency value, and the duration of each charging process of the charging pile is marked as the charging single duration value. The number of charging single duration values ​​that exceed the preset charging single duration threshold in the historical stage is marked as the long operation frequency, and all charging single duration values ​​in the historical stage are summed up to obtain the charging condition value;

[0047] By formula The charging pile production time value RS, the total charging frequency value RF, the long operation frequency RK and the charging condition value RP are numerically calculated to obtain the charging pile aging value RY, where ew1, ew2, ew3 and ew4 are preset proportional coefficients, ew3>ew2>ew4>ew1>0; and the larger the value of the charging pile aging value RY, the more serious the aging performance of the charging pile is, and the closer its life state is to being scrapped;

[0048] The charging pile aging value RY is numerically compared with the preset charging pile aging threshold. If the charging pile aging value RY exceeds the preset charging pile aging threshold, it indicates that the aging performance of the charging pile is serious and it needs to be scrapped in time, then a charging pile high-loss signal is generated; if the charging pile aging value RY does not exceed the preset charging pile aging threshold, it indicates that the aging performance of the charging pile is not serious, then a charging pile low-loss signal is generated.

[0049] When the charging pile operation and maintenance detection module receives the low-loss signal of the charging pile, it analyzes the operation and maintenance urgency of the charging pile, generates an operation and maintenance non-timely signal or an operation and maintenance low-urgency signal through analysis, and sends the operation and maintenance non-timely signal to the background management terminal, and sends the operation and maintenance low-urgency signal to the charging cable diagnosis module, which can automatically analyze and determine the correlation between the poor charging efficiency of the charging pile and the non-timely operation and maintenance of the charging pile, and remind the management personnel to operate and maintain the charging pile as soon as possible when the operation and maintenance non-timely signal is generated; the specific operation process of the charging pile operation and maintenance detection module is as follows:

[0050] Collect the time when the charging pile was operated and maintained adjacently and mark it as the adjacent maintenance time, mark the interval between the current time and the adjacent maintenance time as the charging pile operation and maintenance interval value, and mark the working time of the charging pile within the interval between the current time and the adjacent maintenance time as the maintenance interval operation value;

[0051] Obtain all charging processes of the charging pile within the interval between the current moment and the adjacent moment, calculate the time difference between the charging start moment of the corresponding charging process and the charging end moment of the adjacent previous charging process to obtain the idle measurement duration, compare the idle measurement duration with the preset idle measurement duration threshold, if the idle measurement duration does not exceed the preset idle measurement duration threshold, mark the adjacent previous charging process as the binding process of the corresponding charging process, and continue to trace back until the idle measurement duration of the two adjacent groups of charging processes exceeds the preset idle measurement duration threshold, sort all the binding processes of the corresponding charging process in chronological order, calculate the time difference between the charging start moment of the first group of binding processes and the charging end moment of the corresponding charging process to obtain the charging binding duration value;

[0052] Among them, the larger the value of the charging binding duration value, the worse the rest and repair performance of the charging pile in the corresponding time period, and the greater the damage caused to the charging pile; obtain all the charging binding duration values ​​of the charging pile in the interval between the current moment and the adjacent maintenance moment, compare the charging binding duration value with the preset charging binding duration threshold, if the charging binding duration value exceeds the preset charging binding duration threshold, mark the corresponding charging binding duration value as a high binding duration value, obtain the number of high binding duration values ​​corresponding to the charging pile in the interval between the current moment and the adjacent maintenance moment and mark it as a high binding number value, and mark the highest high binding duration value as a high binding amplitude value;

[0053] The charging pile maintenance emergency value FX is obtained by numerically calculating the charging pile operation and maintenance interval value FW, maintenance interval value FN, high binding number inspection value FM and high binding amplitude value FY through the formula FX=(hy1*FW+hy2*FN) / 2+hy3*FM+hy4*FY, wherein hy1, hy2, hy3 and hy4 are preset proportional coefficients, and the values ​​of hy1, hy2, hy3 and hy4 are all positive numbers; and the larger the value of the charging pile maintenance emergency value FX, the more timely the operation and maintenance of the charging pile is required; the charging pile maintenance emergency value FX is numerically compared with the preset charging pile maintenance emergency threshold value, if the charging pile maintenance emergency value FX exceeds the preset charging pile maintenance emergency threshold value, it indicates that the charging pile needs to be operated and maintained in time, and an operation and maintenance non-timely signal is generated; if the charging pile maintenance emergency value FX does not exceed the preset charging pile maintenance emergency threshold value, it indicates that the charging pile does not need to be operated and maintained in time, and an operation and maintenance low emergency signal is generated.

[0054] When the charging cable diagnosis module receives the low emergency signal of operation and maintenance, it obtains the charging cable used by the charging pile for charging, diagnoses the abnormality of the charging cable and generates a charging cable damage signal or a charging cable intact signal, and sends the charging cable damage signal to the background management terminal, and sends the charging cable intact signal to the environmental impact assessment module. It can automatically analyze and determine the correlation between the poor charging efficiency of the charging pile and the condition of the charging cable, and remind the management personnel to check the charging cable in time and take corresponding treatment measures when generating the charging cable damage signal. The specific operation process of the charging cable diagnosis module is as follows:

[0055] A charging cable used by the charging pile for charging is obtained, the depth of the charging gun entering the charging port of the electric vehicle is marked as the insertion depth, and the insertion depth is numerically compared with a preset insertion depth threshold. If the insertion depth does not exceed the preset insertion depth threshold, it indicates that the connection state between the charging gun and the charging port of the electric vehicle is not good, and a charging cable damage signal is generated;

[0056] If the insertion depth exceeds the preset insertion depth threshold, several detection points are set on the insertion end of the charging gun. When the insertion end of the charging gun is inserted into the charging port of the electric vehicle and charging begins, the position of the corresponding detection point is collected and marked as the initial position, and the distance between the current position of the corresponding detection point and the corresponding initial position is calculated to obtain the point displacement value; if there is a detection point whose point displacement value exceeds the preset point displacement threshold, it indicates that the connection between the charging gun and the charging port of the electric vehicle is likely to be loose, and a charging cable damage signal is generated;

[0057] If there is no detection point whose point shift value exceeds the preset point shift threshold, the point shift values ​​of all detection points are averaged to obtain the plugging instability value, and the plugging instability value is numerically compared with the preset plugging instability threshold. If the plugging instability value exceeds the preset plugging instability threshold, it indicates that the connection between the charging gun and the charging port of the electric vehicle is likely to be loose, and a charging cable damage signal is generated;

[0058] If the plug-in unstable value does not exceed the preset plug-in unstable threshold, indicating that the connection between the charging gun and the charging port of the electric vehicle is relatively small, then the temperature growth value of the corresponding position on the charging cable per unit time is collected, and the temperature growth value of the corresponding position is numerically compared with the preset temperature growth threshold. If the temperature growth value exceeds the preset temperature growth threshold, indicating that the temperature rises too fast at the corresponding position, the corresponding position is marked as the temperature hazard position; if the temperature hazard position on the charging cable, indicating that there is an abnormality in the charging cable, a charging cable storage loss signal is generated;

[0059] If there is no temperature hazard position on the charging cable, the average temperature growth value of all positions is calculated to obtain the cable temperature increase value, and the cable temperature increase value is numerically compared with the preset cable temperature increase threshold. If the cable temperature increase value exceeds the preset cable temperature increase threshold, it indicates that there is an abnormality in the charging cable, and a lossless signal of the charging cable is generated; if the cable temperature increase value does not exceed the preset cable temperature increase threshold, it indicates that there is no abnormality in the charging cable, and the possibility of poor charging efficiency of the charging pile due to charging cable factors is small, a lossless signal of the charging cable is generated.

[0060] When the environmental impact assessment module receives the lossless signal of the charging cable, it analyzes the environment where the charging pile is located. Through analysis, it generates environmental high-impact signals or environmental low-impact signals, and sends environmental high-impact signals or environmental low-impact signals to the backend management terminal. It can automatically analyze and judge the correlation between the poor charging efficiency of the charging pile and the environmental conditions where the charging pile is located. When generating environmental high-impact signals, the management personnel are reminded to take corresponding measures in a timely manner to effectively ensure the charging efficiency and charging safety of the charging pile. The specific operation process of the environmental impact assessment module is as follows:

[0061] Obtain the ambient temperature and environmental humidity of the environment in which the charging pile is located, mark the deviation value of the ambient temperature compared to the preset suitable temperature standard value as the charging temperature detection value, mark the deviation value of the ambient humidity compared to the preset suitable humidity standard value as the charging humidity detection value, and collect the dust pollution value of the environment in which the charging pile is located (i.e. the dust concentration value of the environment in which the charging pile is located); it should be noted that temperature, humidity, and dust factors can easily affect the heat dissipation, insulation and other properties inside the charging pile, and thus affect the power conversion rate;

[0062] The charging temperature detection value HW, the charging humidity detection value HS and the dust pollution value HY are numerically calculated by the formula HF=(b1*HW+b2*HS+b3*HY) / 3 to obtain the charging environment detection value HF, wherein b1, b2 and b3 are preset proportional coefficients, and the values ​​of b1, b2 and b3 are all positive numbers; and the larger the value of the charging environment detection value HF is, the worse the environmental performance of the environment in which the charging pile is located at the corresponding moment is; the charging environment detection value HF is numerically compared with the preset charging environment detection threshold value. If the charging environment detection value HF exceeds the preset charging environment detection threshold value, it indicates that the environmental performance of the environment in which the charging pile is located at the corresponding moment is poor, and it is judged that the charging pile is in a charging environment abnormal state;

[0063] The total time that the charging pile is in the abnormal charging environment state within a unit time is obtained and marked as the charging environment detection time value, and all charging environment detection values ​​within a unit time are averaged to obtain the charging environment detection value, and the charging environment detection value with the largest value within a unit time is marked as the charging environment detection amplitude value;

[0064] The charging environment inspection time value QW, the charging environment inspection condition value QY and the charging environment inspection amplitude value QN are numerically calculated by the formula QK=wq1*QW+(wq2*QY+wq3*QN) / 2 to obtain the charging environment inspection evaluation value QK, wherein wq1, wq2, and wq3 are preset proportional coefficients, and the values ​​of wq1, wq2, and wq3 are all positive numbers; and the larger the value of the charging environment inspection evaluation value QK, the greater the adverse effect of the environment on the charging efficiency of the charging pile in general;

[0065] The charging environment evaluation value QK is numerically compared with the preset charging environment evaluation threshold. If the charging environment evaluation value QK exceeds the preset charging environment evaluation threshold, it indicates that overall, the poor charging efficiency of the charging pile is greatly correlated with the performance of its environment, and a high environmental impact signal is generated; if the charging environment evaluation value QK does not exceed the preset charging environment evaluation threshold, it indicates that overall, the possibility of poor charging efficiency of the charging pile due to environmental performance is small, and a low environmental impact signal is generated.

[0066] Embodiment 2: Figure 2 As shown, the difference between this embodiment and embodiment 1 is that the present invention proposes a charging pile charging efficiency monitoring method based on artificial intelligence, comprising the following steps:

[0067] Step 1: The charging efficiency monitoring module monitors the charging efficiency of the charging pile and generates a qualified charging efficiency signal or a unqualified charging efficiency signal through analysis;

[0068] Step 2: When generating a charging efficiency unqualified signal, the charging pile aging analysis module generates a charging pile high loss signal or a charging pile low loss signal through charging pile aging analysis;

[0069] Step 3: When generating a low-loss signal of the charging pile, the charging pile operation and maintenance detection module analyzes the operation and maintenance urgency of the charging pile, and generates an operation and maintenance non-timely signal or an operation and maintenance low-urgency signal through analysis;

[0070] Step 4: when the operation and maintenance low emergency signal is generated, the charging cable used by the charging pile for charging is obtained through the charging cable diagnosis module, the charging cable is diagnosed abnormally and a charging cable damage signal or a charging cable intact signal is generated;

[0071] Step 5: When generating a lossless signal of the charging cable, the environmental impact assessment module analyzes the environment in which the charging pile is located, and generates an environmental high impact signal or an environmental low impact signal through analysis.

[0072] The working principle of the present invention: when in use, the charging efficiency of the charging pile is monitored through the charging efficiency monitoring module, and a qualified charging efficiency signal or an unqualified charging efficiency signal is generated by analysis. The charging efficiency performance of the charging pile can be reasonably analyzed and accurately fed back. When an unqualified charging efficiency signal is generated, the charging pile aging analysis is performed through the charging pile aging analysis module. When a charging pile low-loss signal is generated, the operation and maintenance urgency of the charging pile is analyzed through the charging pile operation and maintenance detection module. When an operation and maintenance low-emergency signal is generated, the charging cable is diagnosed for abnormality through the charging cable diagnosis module. When a charging cable lossless signal is generated, the environment of the charging pile is analyzed through the environmental impact assessment module. When it is determined that the charging efficiency of the charging pile is poor, the cause of the abnormality can be automatically and progressively diagnosed accurately, so that the management personnel can accurately make corresponding reasonable handling measures, ensure the charging efficiency and charging safety of the charging pile, reduce the management difficulty of the management personnel, and have a high degree of intelligence.

[0073] 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 charging efficiency monitoring system based on artificial intelligence, characterized in that: It includes a charging efficiency monitoring module, a charging pile aging analysis module, a charging pile operation and maintenance detection module, a charging cable diagnosis module, an environmental impact assessment module and a background management terminal; when the charging pile is charging the electric vehicle battery, the charging efficiency monitoring module monitors the charging efficiency of the charging pile, generates a charging efficiency qualified signal or a charging efficiency unqualified signal through analysis, and sends the charging efficiency unqualified signal to the background management terminal and the charging pile aging analysis module; When the charging pile aging analysis module receives a signal indicating that the charging efficiency is unqualified, it generates a charging pile high-loss signal or a charging pile low-loss signal through the charging pile aging analysis, and sends the charging pile high-loss signal to the background management terminal, and sends the charging pile low-loss signal to the charging pile operation and maintenance detection module; when the charging pile operation and maintenance detection module receives the charging pile low-loss signal, it analyzes the operation and maintenance urgency of the charging pile, generates an operation and maintenance non-timely signal or an operation and maintenance low-urgency signal through analysis, and sends the operation and maintenance non-timely signal to the background management terminal, and sends the operation and maintenance low-urgency signal to the charging cable diagnosis module; When the charging cable diagnosis module receives the operation and maintenance low emergency signal, it obtains the charging cable used by the charging pile for charging, diagnoses the abnormality of the charging cable and generates a charging cable damage signal or a charging cable intact signal, and sends the charging cable damage signal to the background management terminal, and sends the charging cable intact signal to the environmental impact assessment module; when the environmental impact assessment module receives the charging cable intact signal, it analyzes the environment in which the charging pile is located, generates an environmental high impact signal or an environmental low impact signal through analysis, and sends the environmental high impact signal or the environmental low impact signal to the background management terminal.

2. According to the artificial intelligence-based charging pile charging efficiency monitoring system of claim 1, it is characterized in that: The specific operation process of the charging efficiency monitoring module includes: The charging efficiency monitoring value is obtained by numerically calculating the abnormal discharge condition value, the charging efficiency condition value and the charging low detection value. If the charging efficiency monitoring value exceeds the preset charging efficiency monitoring threshold, an abnormal charging efficiency signal is generated; if the charging efficiency monitoring value does not exceed the preset charging efficiency monitoring threshold, a normal charging efficiency signal is generated.

3. The charging efficiency monitoring system of a charging pile based on artificial intelligence according to claim 1 is characterized in that: The specific analysis process of charging pile aging analysis is as follows: The charging pile aging value is obtained by numerically calculating the charging pile production time value, the total charging frequency value, the long operation frequency and the charging condition value. If the charging pile aging value exceeds the preset charging pile aging threshold, a charging pile high loss signal is generated; If the charging pile aging value does not exceed the preset charging pile aging threshold, a charging pile low loss signal is generated.

4. The charging efficiency monitoring system of a charging pile based on artificial intelligence according to claim 1 is characterized in that: The specific operation process of the charging pile operation and maintenance detection module includes: The time of the last operation and maintenance of the charging pile is collected and marked as the adjacent maintenance time. All charging binding duration values ​​of the charging pile within the interval between the current time and the adjacent maintenance time are obtained through analysis. If the charging binding duration value exceeds the preset charging binding duration threshold, the corresponding charging binding duration value is marked as a high binding duration value. The number of high binding duration values ​​corresponding to the charging pile within the interval between the current time and the adjacent maintenance time is obtained and marked as a high binding value, and the high binding duration value with the largest value is marked as a high binding amplitude value. The charging pile maintenance emergency value is obtained by numerically calculating the charging pile operation and maintenance interval value, maintenance interval time value, high binding number inspection value and high binding amplitude value. If the charging pile maintenance emergency value exceeds the preset charging pile maintenance emergency threshold, an operation and maintenance non-timely signal is generated; if the charging pile maintenance emergency value does not exceed the preset charging pile maintenance emergency threshold, an operation and maintenance low emergency signal is generated.

5. The charging efficiency monitoring system of a charging pile based on artificial intelligence according to claim 4 is characterized in that: The analysis and acquisition method of charging binding duration value is as follows: Obtain all charging processes of the charging pile within the interval between the current moment and the adjacent moment, calculate the time difference between the charging start moment of the corresponding charging process and the charging end moment of the previous adjacent charging process to obtain the idle measurement duration, compare the idle measurement duration with the preset idle measurement duration threshold, if the idle measurement duration does not exceed the preset idle measurement duration threshold, mark the previous adjacent charging process as the binding process of the corresponding charging process, and continue to trace back until the idle measurement duration of two adjacent groups of charging processes exceeds the preset idle measurement duration threshold, sort all the binding processes of the corresponding charging process in chronological order, calculate the time difference between the charging start moment of the first group of binding processes and the charging end moment of the corresponding charging process to obtain the charging binding duration value.

6. The charging efficiency monitoring system of a charging pile based on artificial intelligence according to claim 1 is characterized in that: The specific operation process of the charging cable diagnostic module includes: A charging cable used by the charging pile for charging is obtained, and the depth of the charging gun entering the charging port of the electric vehicle is marked as the insertion depth. If the insertion depth does not exceed the preset insertion depth threshold, a charging cable damage signal is generated; if the insertion depth exceeds the preset insertion depth threshold, a number of detection points are set on the insertion end of the charging gun, and the current position of the corresponding detection point and the corresponding initial position are calculated to obtain a point displacement value; if there is a detection point whose point displacement value exceeds the preset point displacement threshold, a charging cable damage signal is generated; If there is no detection point whose point shift value exceeds the preset point shift threshold, the point shift values ​​of all detection points are averaged to obtain the plugging instability value. If the plugging instability value exceeds the preset plugging instability threshold, a charging cable damage signal is generated.

7. The charging efficiency monitoring system of a charging pile based on artificial intelligence according to claim 6 is characterized in that: If the plugging instability value does not exceed the preset plugging instability threshold, the temperature increase value of the corresponding position on the charging cable per unit time is collected. If the temperature increase value exceeds the preset temperature increase threshold, the corresponding position is marked as a temperature-dangerous position; if there is a temperature-dangerous position on the charging cable, a charging cable damage signal is generated; If there is no temperature-hazardous position on the charging cable, the temperature increase values ​​of all positions are averaged to obtain the cable temperature increase value. If the cable temperature increase value exceeds the preset cable temperature increase threshold, a charging cable damage signal is generated. If the cable temperature increase does not exceed the preset cable temperature increase threshold, a charging cable lossless signal is generated.

8. The charging efficiency monitoring system of a charging pile based on artificial intelligence according to claim 1 is characterized in that: The specific operation process of the environmental impact assessment module includes: The charging environment detection value is obtained by numerically calculating the charging temperature detection value, the charging humidity detection value and the dust pollution value. If the charging environment detection value exceeds the preset charging environment detection threshold, it is judged that the charging pile is in the abnormal charging environment state; the total time that the charging pile is in the abnormal charging environment state per unit time is obtained and marked as the charging environment detection time value, and the charging environment detection value with the largest value per unit time is calculated as the charging environment detection amplitude value, and the charging environment detection time value, the charging environment detection condition value and the charging environment detection amplitude value are numerically calculated to obtain the charging environment detection evaluation value. If the charging environment detection evaluation value exceeds the preset charging environment detection evaluation threshold, a high environmental impact signal is generated; if the charging environment detection evaluation value does not exceed the preset charging environment detection threshold, a low environmental impact signal is generated.

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