Safety monitoring system of new energy vehicle charging pile

Abstract

The invention belongs to the field of charging pile safety monitoring, relates to a data analysis technology, is used for solving the problem that hidden risks of a charging pile in a residual current abnormity processing process and a triggering state cannot be evaluated in the prior art, and particularly relates to a safety monitoring system of a new energy vehicle charging pile. Comprising a residual monitoring module, a safety processing module, a processing analysis module and a trigger analysis module, the residual monitoring module, the safety processing module and the processing analysis module are sequentially in communication connection, and the safety processing module is further in communication connection with the trigger analysis module; the residual monitoring module is used for monitoring the residual current of the charging pile; the residual current of the charging pile can be monitored, the residual value is acquired in real time according to the residual current sensor, the safety of the residual current is evaluated through the residual value, safety processing is performed through the safety processing module when the residual current is abnormal, response data in the processing process is recorded, and an alarm is given when the response is abnormal.

Description

Technical Field

[0001] The present invention belongs to the field of charging pile safety monitoring, relates to data analysis technology, and specifically is a safety monitoring system for a new energy vehicle charging pile. Background Art

[0002] The safety performance of charging piles is guaranteed by multiple safety designs and strict quality control, but regular maintenance inspections, correct user operations and timely technical upgrades are still required to ensure safety. In order to ensure the safety performance of charging piles, a series of safeguards need to be taken; this includes regular comprehensive inspections and maintenance of charging piles, replacement of aging components, and ensuring the normal operation of all safety functions.

[0003] When performing residual current monitoring, the charging pile safety monitoring system in the prior art is often only able to alarm and process when the residual current is abnormal, but is unable to evaluate the hidden risks of the charging pile in the processing process and triggering state of the abnormal residual current, and thus is unable to generate corresponding optimization decisions based on the evaluation results, reduce the abnormal residual current triggering frequency of the charging pile, and improve the processing efficiency when the residual current is abnormal, thereby ensuring the residual current safety of the charging pile during operation. Summary of the invention

[0004] The purpose of the present invention is to provide a safety monitoring system for a new energy vehicle charging pile, which is used to solve the problem that the prior art cannot evaluate the hidden risks of the charging pile in the processing process and triggering state of residual current anomaly;

[0005] The technical problem to be solved by the present invention is: how to provide a safety monitoring system for a new energy vehicle charging pile that can evaluate the hidden risks of the charging pile in the processing process and triggering state of residual current anomaly.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A safety monitoring system for a new energy vehicle charging pile comprises a residual monitoring module, a safety processing module, a processing analysis module and a trigger analysis module, wherein the residual monitoring module, the safety processing module and the processing analysis module are sequentially connected in communication, and the safety processing module is also connected in communication with the trigger analysis module;

[0008] The residual monitoring module is used to monitor the residual current of the charging pile: mark the charging pile as a monitoring object, obtain the residual current value of the charging pile in real time through the residual current sensor and mark it as the residual value, and analyze the residual current safety through the residual value;

[0009] The safety processing module is used to process the residual current risk of the charging pile: after receiving the safety processing signal, the power supply of the charging pile is cut off, the generation time of the safety processing signal and the power supply cut-off time constitute a processing process, the duration of the processing process is marked as the response data of the processing process, and the response data is used to determine whether the response status of the processing process meets the requirements;

[0010] Evaluate and analyze the risk processing status of the charging pile: generate an evaluation cycle, mark the processing process within the evaluation cycle as the evaluation process, perform numerical calculations on the response data of all evaluation processes to obtain the processing coefficient CL of the evaluation cycle, and use the processing coefficient CL to determine whether the risk processing status of the charging pile within the evaluation cycle meets the requirements. If it does not meet the requirements, perform adaptability analysis;

[0011] The trigger analysis module is used to evaluate and analyze the trigger risk of the residual current of the charging pile: obtain the interval data JG, evaluation data PG and excess data GL of the evaluation period and perform numerical calculations to obtain the trigger coefficient CF, and use the trigger coefficient CF to determine whether the residual current trigger risk of the charging pile within the evaluation period meets the requirements.

[0012] Furthermore, the specific process of analyzing the residual current safety includes: comparing the residual value with the preset residual threshold: if the residual value is less than the residual threshold, it is determined that the residual current safety of the charging pile meets the requirements; if the residual value is greater than or equal to the residual threshold, it is determined that the residual current safety of the charging pile does not meet the requirements, generating a safety processing signal and sending the safety processing signal to the safety processing module.

[0013] Furthermore, the process of obtaining the processing coefficient CL of the evaluation cycle includes: summing up the response data of all evaluation processes and taking the average value to obtain the response performance value YX, performing variance calculation on the response data of all evaluation processes to obtain the response stability value YW, and obtaining the processing coefficient CL of the evaluation cycle through the formula CL=k1*YX+k2*YW, wherein k1 and k2 are both proportional coefficients, and k1>k2>1.

[0014] Furthermore, the specific process of determining whether the risk handling status of the charging pile during the evaluation period meets the requirements includes: comparing the processing coefficient CL of the evaluation period with the preset processing threshold CLmax: if the processing coefficient CL is less than the processing threshold CLmax, it is determined that the risk handling status of the charging pile during the evaluation period meets the requirements; if the processing coefficient CL is greater than or equal to the processing threshold CLmax, it is determined that the risk handling status of the charging pile during the evaluation period does not meet the requirements.

[0015] Furthermore, an adaptability analysis is performed on the evaluation cycle: the air temperature value of the environment in which the charging pile is located at the beginning of the evaluation process is obtained and marked as the air temperature value, the standard temperature range of the operating environment of the charging pile is retrieved, the average of the maximum and minimum values ​​of the standard temperature range is marked as the temperature scale value, the absolute value of the difference between the air temperature value and the temperature scale value is marked as the temperature deviation value of the evaluation process, the evaluation processes are arranged in order from large to small according to the temperature deviation value values ​​to obtain a temperature deviation sequence, the evaluation processes are arranged in order from large to small according to the response data values ​​to obtain a response sequence, the absolute value of the difference between the sequence number of the evaluation process in the temperature deviation sequence and the sequence number in the response sequence is marked as the environmental adaptation value, the environmental adaptation values ​​of all evaluation processes are summed and averaged to obtain the environmental adaptation coefficient of the evaluation period, and the environmental adaptation coefficient is compared with the preset environmental adaptation threshold: if the environmental adaptation coefficient is less than the environmental adaptation threshold, an adaptation optimization signal is generated and sent to the mobile phone terminal of the administrator; if the environmental adaptation coefficient is greater than or equal to the environmental adaptation threshold, a response optimization signal is generated and sent to the mobile phone terminal of the administrator.

[0016] Furthermore, the process of acquiring the interval data JG, the evaluation data PG and the excess data GL includes: marking the start time of the evaluation process as the trigger time, marking the time difference between the trigger times of adjacent evaluation processes within the evaluation cycle as the interval value, marking the minimum value of the interval value within the evaluation cycle as the interval data JG, marking the number of evaluation processes within the evaluation cycle as the evaluation data PG, marking the difference between the remaining value at the end time of the evaluation process and the remaining threshold as the excess value of the evaluation process, and summing and averaging the excess values ​​of all evaluation processes to obtain the excess data GL.

[0017] Furthermore, the specific process of determining whether the residual current trigger risk of the charging pile within the evaluation period meets the requirements includes: comparing the trigger coefficient CF of the evaluation period with the preset trigger threshold CFmax: if the trigger coefficient CF is less than the trigger threshold CFmax, it is determined that the residual current trigger risk of the charging pile within the evaluation period meets the requirements; if the trigger coefficient CF is greater than or equal to the trigger threshold CFmax, it is determined that the residual current trigger risk of the charging pile within the evaluation period does not meet the requirements, and an insulation optimization signal is generated and sent to the mobile phone terminal of the administrator.

[0018] The present invention has the following beneficial effects:

[0019] 1. The residual current of the charging pile can be monitored through the residual monitoring module. The residual value can be obtained in real time according to the residual current sensor, and the safety of the residual current can be evaluated through the residual value. When the residual current is abnormal, the safety processing module can be used for safety processing, and the response data of the processing process can be recorded at the same time. When the response is abnormal, an alarm will be issued;

[0020] 2. The risk processing status of the charging pile can be evaluated and analyzed through the processing analysis module, and the response data of all evaluation processes within the evaluation cycle can be calculated to obtain the processing coefficient, so as to evaluate the timeliness and stability of the risk processing of the charging pile through the processing coefficient. When the timeliness and stability of risk processing are abnormal, the corresponding sensor optimization decision is generated through adaptive analysis, and the optimization direction of the sensor is automatically matched for the management personnel;

[0021] 3. The trigger analysis module can be used to evaluate and analyze the trigger risk of the residual current of the charging pile, and the trigger coefficient can be obtained by comprehensively calculating multiple parameters of the evaluation process in the evaluation cycle. The trigger coefficient can be used to evaluate the trigger frequency and danger of the abnormal residual current in the evaluation cycle. Based on the trigger coefficient, the necessity of insulation optimization of the charging pile can be fed back, and insulation optimization can be performed when necessary to improve the operating safety of the charging pile. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 is a system block diagram of Embodiment 1 of the present invention;

[0024] Figure 2 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0025] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0026] Residual current protection, as an important safety measure, aims to prevent electric shock accidents, damage to electrical equipment and electrical fires caused by leakage. In charging piles, the role of residual current protection mechanism is particularly critical. It can quickly cut off the power supply when it detects that the residual current reaches a certain value, thereby protecting personal safety and equipment from damage.

[0027] Embodiment 1: Figure 1As shown, a safety monitoring system for a new energy vehicle charging pile includes a residual monitoring module, a safety processing module, a processing analysis module and a trigger analysis module. The residual monitoring module, the safety processing module and the processing analysis module are communicatively connected in sequence, and the safety processing module is also communicatively connected with the trigger analysis module.

[0028] The residual monitoring module is used to monitor the residual current of the charging pile: mark the charging pile as a monitoring object, obtain the residual current value of the charging pile in real time through the residual current sensor and mark it as the residual value, and compare the residual value with the preset residual threshold: if the residual value is less than the residual threshold, it is determined that the residual current safety of the charging pile meets the requirements; if the residual value is greater than or equal to the residual threshold, it is determined that the residual current safety of the charging pile does not meet the requirements, generate a safety processing signal and send the safety processing signal to the safety processing module.

[0029] The safety processing module is used to process the residual current risk of the charging pile: after receiving the safety processing signal, the power supply of the charging pile is cut off. The processing process is composed of the generation time of the safety processing signal and the power supply cut-off time. The duration of the processing process is marked as the response data of the processing process, and the response data is compared with the preset response threshold: if the response data is less than the response threshold, it is determined that the response status of the processing process meets the requirements; if the response data is greater than or equal to the response threshold, it is determined that the response status of the processing process does not meet the requirements, and a safety warning signal is generated and sent to the mobile phone terminal of the manager; the residual current of the charging pile is monitored, the residual value is obtained in real time according to the residual current sensor, and the safety of the residual current is evaluated by the residual value. When the residual current is abnormal, the safety processing module is used for safety processing, and the response data of the processing process is recorded at the same time, and an alarm is issued in the case of abnormal response.

[0030] The processing and analysis module is used to evaluate and analyze the risk processing status of the charging pile: generate an evaluation cycle of D1 days, mark the processing process within the evaluation cycle as the evaluation process, sum and average the response data of all evaluation processes to obtain the response performance value YX, calculate the variance of the response data of all evaluation processes to obtain the response stability value YW, and obtain the processing coefficient CL of the evaluation cycle through the formula CL=k1*YX+k2*YW, where k1 and k2 are both proportional coefficients, and k1>k2>1;

[0031] Compare the processing coefficient CL of the evaluation period with the preset processing threshold CLmax: if the processing coefficient CL is less than the processing threshold CLmax, it is determined that the risk processing status of the charging pile during the evaluation period meets the requirements; if the processing coefficient CL is greater than or equal to the processing threshold CLmax, it is determined that the risk processing status of the charging pile during the evaluation period does not meet the requirements, and the adaptability analysis of the evaluation period is performed:

[0032] Obtain the air temperature value of the environment where the charging pile is located at the beginning of the evaluation process and mark it as the air temperature value; retrieve the standard temperature range of the operating environment of the charging pile; mark the average of the maximum and minimum values ​​of the standard temperature range as the temperature scale value; mark the absolute value of the difference between the air temperature value and the temperature scale value as the temperature deviation value of the evaluation process; arrange the evaluation processes in order from large to small according to the temperature deviation value to obtain a temperature deviation sequence; arrange the evaluation processes in order from large to small according to the response data value to obtain a response sequence; mark the absolute value of the difference between the sequence number of the evaluation process in the temperature deviation sequence and the sequence number in the response sequence as the environmental adaptation value; sum and average the environmental adaptation values ​​of all evaluation processes to obtain the environmental adaptation coefficient of the evaluation period; and The coefficient is compared with the preset environmental adaptation threshold: if the environmental adaptation coefficient is less than the environmental adaptation threshold, an adaptation optimization signal is generated and sent to the mobile terminal of the manager; if the environmental adaptation coefficient is greater than or equal to the environmental adaptation threshold, a response optimization signal is generated and sent to the mobile terminal of the manager; the risk processing status of the charging pile is evaluated and analyzed, and the response data of all evaluation processes within the evaluation period are calculated to obtain the processing coefficient, so as to evaluate the timeliness and stability of the risk processing of the charging pile through the processing coefficient. When the timeliness and stability of the risk processing are abnormal, the corresponding sensor optimization decision is generated through adaptability analysis, and the optimization direction of the sensor is automatically matched for the manager.

[0033] The trigger analysis module is used to evaluate and analyze the trigger risk of the residual current of the charging pile: the start time of the evaluation process is marked as the trigger time, the time difference between the trigger times of adjacent evaluation processes within the evaluation cycle is marked as the interval value, the minimum value of the interval value within the evaluation cycle is marked as the interval data JG, the number of evaluation processes within the evaluation cycle is marked as the evaluation data PG, and the difference between the residual value at the end of the evaluation process and the residual threshold is marked as the excess value of the evaluation process. The excess values ​​of all evaluation processes are summed and averaged to obtain the excess data GL. The formula The trigger coefficient CF of the evaluation period is obtained, where m1, m2 and m3 are all proportional coefficients, and m1>m2>m3>1;

[0034] The trigger coefficient CF of the evaluation period is compared with the preset trigger threshold CFmax: if the trigger coefficient CF is less than the trigger threshold CFmax, it is determined that the residual current trigger risk of the charging pile during the evaluation period meets the requirements; if the trigger coefficient CF is greater than or equal to the trigger threshold CFmax, it is determined that the residual current trigger risk of the charging pile during the evaluation period does not meet the requirements, and an insulation optimization signal is generated and sent to the mobile phone terminal of the manager; a plurality of parameters of the evaluation process in the evaluation period are comprehensively calculated to obtain the trigger coefficient, and the trigger frequency and danger of the abnormal residual current during the evaluation period are evaluated through the trigger coefficient, so as to provide feedback on the necessity of insulation optimization of the charging pile according to the trigger coefficient, and perform insulation optimization when necessary to improve the operation safety of the charging pile.

[0035] Embodiment 2: Figure 2 As shown, a safety monitoring method for a new energy vehicle charging pile includes the following steps:

[0036] Step 1: Monitor the residual current of the charging pile: mark the charging pile as the monitoring object, obtain the residual current value of the charging pile in real time through the residual current sensor and mark it as the residual value, and judge whether the residual current safety of the charging pile meets the requirements through the residual value. If it does not meet the requirements, execute step 2;

[0037] Step 2: Processing the residual current risk of the charging pile: After receiving the safety processing signal, the power supply of the charging pile is cut off. The generation time of the safety processing signal and the power supply cut-off time constitute a processing process. The duration of the processing process is marked as the response data of the processing process. The response status of the response data processing process is judged to see whether it meets the requirements.

[0038] Step 3: Evaluate and analyze the risk processing status of the charging pile: generate an evaluation cycle, mark the processing process within the evaluation cycle as the evaluation process, perform numerical calculations on the response data of all evaluation processes to obtain the processing coefficient CL, and use the processing coefficient CL to determine whether the risk processing status of the charging pile within the evaluation cycle meets the requirements;

[0039] Step 4: Evaluate and analyze the triggering risk of the residual current of the charging pile and obtain the triggering coefficient CF of the evaluation period. Use the triggering coefficient CF to determine whether the residual current triggering risk of the charging pile within the evaluation period meets the requirements.

[0040] A safety monitoring system for a new energy vehicle charging pile, when in operation, marks the charging pile as a monitoring object, obtains the residual current value of the charging pile in real time through a residual current sensor and marks it as a residual value, judges whether the residual current safety of the charging pile meets the requirements through the residual value, cuts off the power supply of the charging pile when the requirements are not met, and forms a processing process with the generation time of a safety processing signal and the power supply cut-off time, marks the duration of the processing process as response data of the processing process, and judges whether the response state of the processing process meets the requirements through the response data; generates an evaluation cycle, marks the processing process within the evaluation cycle as an evaluation process, performs numerical calculation on the response data of all evaluation processes to obtain a processing coefficient CL, and judges whether the risk processing state of the charging pile within the evaluation cycle meets the requirements through the processing coefficient CL; evaluates and analyzes the triggering risk of the residual current of the charging pile and obtains the triggering coefficient CF of the evaluation cycle, and judges whether the residual current triggering risk of the charging pile within the evaluation cycle meets the requirements through the triggering coefficient CF.

[0041] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0042] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The coefficients in the formula are set by technicians in this field according to actual conditions; for example: Formula A technician in this field collects multiple groups of sample data and sets a corresponding trigger coefficient for each group of sample data; substitutes the set trigger coefficient and the collected sample data into the formula, any three formulas constitute a three-variable linear equation system, and the calculated coefficients are screened and averaged to obtain the values ​​of m1, m2 and m3, which are 4.38, 2.65 and 2.13 respectively;

[0043] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the initial setting of the corresponding trigger coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the trigger coefficient is proportional to the value of the evaluation data.

[0044] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0045] 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 content 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 those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A safety monitoring system for a new energy vehicle charging pile, characterized in that: It includes a residual monitoring module, a safety processing module, a processing analysis module and a trigger analysis module, wherein the residual monitoring module, the safety processing module and the processing analysis module are sequentially connected in communication, and the safety processing module is also connected in communication with the trigger analysis module; The residual monitoring module is used to monitor the residual current of the charging pile: mark the charging pile as a monitoring object, obtain the residual current value of the charging pile in real time through the residual current sensor and mark it as the residual value, and analyze the residual current safety through the residual value; The safety processing module is used to process the residual current risk of the charging pile: after receiving the safety processing signal, the power supply of the charging pile is cut off, the generation time of the safety processing signal and the power supply cut-off time constitute a processing process, the duration of the processing process is marked as the response data of the processing process, and the response data is used to determine whether the response status of the processing process meets the requirements; Evaluate and analyze the risk processing status of the charging pile: generate an evaluation cycle, mark the processing process within the evaluation cycle as the evaluation process, perform numerical calculations on the response data of all evaluation processes to obtain the processing coefficient CL of the evaluation cycle, and use the processing coefficient CL to determine whether the risk processing status of the charging pile within the evaluation cycle meets the requirements. If it does not meet the requirements, perform adaptability analysis; The trigger analysis module is used to evaluate and analyze the trigger risk of the residual current of the charging pile: obtain the interval data JG, evaluation data PG and excess data GL of the evaluation period and perform numerical calculations to obtain the trigger coefficient CF, and use the trigger coefficient CF to determine whether the residual current trigger risk of the charging pile within the evaluation period meets the requirements.

2. A safety monitoring system for a new energy vehicle charging pile according to claim 1, characterized in that: The specific process of analyzing the residual current safety includes: comparing the residual value with the preset residual threshold: if the residual value is less than the residual threshold, it is determined that the residual current safety of the charging pile meets the requirements; if the residual value is greater than or equal to the residual threshold, it is determined that the residual current safety of the charging pile does not meet the requirements, generating a safety processing signal and sending the safety processing signal to the safety processing module.

3. A safety monitoring system for a new energy vehicle charging pile according to claim 2, characterized in that: The process of obtaining the processing coefficient CL of the evaluation cycle includes: summing up the response data of all evaluation processes and taking the average value to obtain the response performance value YX, calculating the variance of the response data of all evaluation processes to obtain the response stability value YW, and obtaining the processing coefficient CL of the evaluation cycle through the formula CL=k1*YX+k2*YW, wherein k1 and k2 are both proportional coefficients, and k1>k2>1.

4. A safety monitoring system for a new energy vehicle charging pile according to claim 3, characterized in that: The specific process of determining whether the risk handling status of the charging pile during the evaluation period meets the requirements includes: comparing the processing coefficient CL of the evaluation period with the preset processing threshold CLmax: if the processing coefficient CL is less than the processing threshold CLmax, it is determined that the risk handling status of the charging pile during the evaluation period meets the requirements; if the processing coefficient CL is greater than or equal to the processing threshold CLmax, it is determined that the risk handling status of the charging pile during the evaluation period does not meet the requirements.

5. A safety monitoring system for a new energy vehicle charging pile according to claim 4, characterized in that: Conduct adaptability analysis on the evaluation cycle: obtain the air temperature value of the environment where the charging pile is located at the beginning of the evaluation process and mark it as the air temperature value, retrieve the standard temperature range of the operating environment of the charging pile, mark the average of the maximum and minimum values ​​of the standard temperature range as the temperature scale value, mark the absolute value of the difference between the air temperature value and the temperature scale value as the temperature deviation value of the evaluation process, arrange the evaluation processes in order from large to small according to the temperature deviation value to obtain a temperature deviation sequence, arrange the evaluation processes in order from large to small according to the response data value to obtain a response sequence, mark the absolute value of the difference between the sequence number of the evaluation process in the temperature deviation sequence and the sequence number in the response sequence as the environmental adaptation value, sum and average the environmental adaptation values ​​of all evaluation processes to obtain the environmental adaptation coefficient of the evaluation cycle, and compare the environmental adaptation coefficient with the preset environmental adaptation threshold: if the environmental adaptation coefficient is less than the environmental adaptation threshold, generate an adaptation optimization signal and send the adaptation optimization signal to the mobile phone terminal of the manager; If the environmental adaptation coefficient is greater than or equal to the environmental adaptation threshold, a response optimization signal is generated and sent to the mobile phone terminal of the administrator.

6. A safety monitoring system for a new energy vehicle charging pile according to claim 5, characterized in that: The process of acquiring the interval data JG, the evaluation data PG and the excess data GL includes: marking the start time of the evaluation process as the trigger time, marking the time difference between the trigger times of adjacent evaluation processes within the evaluation cycle as the interval value, marking the minimum value of the interval value within the evaluation cycle as the interval data JG, marking the number of evaluation processes within the evaluation cycle as the evaluation data PG, marking the difference between the remaining value at the end time of the evaluation process and the remaining threshold as the excess value of the evaluation process, and summing and averaging the excess values ​​of all evaluation processes to obtain the excess data GL.

7. A safety monitoring system for a new energy vehicle charging pile according to claim 6, characterized in that: The specific process of determining whether the residual current trigger risk of the charging pile within the evaluation period meets the requirements includes: comparing the trigger coefficient CF of the evaluation period with the preset trigger threshold CFmax: if the trigger coefficient CF is less than the trigger threshold CFmax, it is determined that the residual current trigger risk of the charging pile within the evaluation period meets the requirements; if the trigger coefficient CF is greater than or equal to the trigger threshold CFmax, it is determined that the residual current trigger risk of the charging pile within the evaluation period does not meet the requirements, and an insulation optimization signal is generated and sent to the administrator's mobile phone terminal.

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