Charging station pile operation monitoring system based on online power collection

Abstract

The present invention discloses a charging station pile operation monitoring system based on online electric energy collection. The present invention relates to the technical field of charging stations, and solves the problem that the original abnormal fluctuation electric pile assessment method is relatively one-sided and does not fully analyze the related impacts caused by voltage fluctuations. The present invention accurately distinguishes whether it is a problem with the charging pile itself or an abnormality caused by voltage fluctuations in the charging station by analyzing the proportion of the same frequency period, the voltage fluctuation state, etc., effectively avoiding misjudgment, providing a reliable basis for subsequent correct processing measures, and improving the system's analysis and processing capabilities for complex abnormal situations; for the calibrated abnormal fluctuation electric pile, a control method of reducing the charging power is adopted, and the current and voltage fluctuation values ​​are monitored in real time until they are stable; this measure can not only guarantee the charging quality and ensure that the current and voltage are relatively stable during the charging process, but also can respond quickly when an abnormality occurs, effectively reducing the risk of damage to charging equipment and vehicles due to abnormal fluctuations.

Description

Technical Field

[0001] The present invention relates to the technical field of charging stations, and in particular to a charging station pile operation monitoring system based on online electric energy collection. Background Art

[0002] Charging stations are places that provide electrical energy for electric vehicles such as electric vehicles. They are usually equipped with multiple charging piles. According to different charging needs and technologies, charging piles can be divided into different types such as AC slow charging piles and DC fast charging piles. AC slow charging piles have relatively low power and are generally suitable for long-term parking scenarios, such as residential communities and office places. They have a longer charging time and can meet the charging needs of vehicles when parked for a long time at night or on weekdays. DC fast charging piles have higher power and can replenish a large amount of electricity for vehicles in a short time. They are mainly used in places such as highway service areas and commercial centers, which facilitates car owners to charge quickly during short stops and reduce waiting time.

[0003] The application with publication number CN118182244A discloses an artificial intelligence-based charging pile operation safety management and control system, including a supervision platform, a charging pile monitoring module, a charging pile risk identification module, a charging pile automatic control module, a charging pile operation risk assessment module and a charging pile risk warning module; the present invention monitors the charging pile in real time through the charging pile monitoring module, and the charging pile risk identification module processes and analyzes the operation data package of the charging pile to determine whether there is a fault or potential risk. When generating dangerous information, the charging pile automatic control module determines whether it is necessary to automatically make corresponding adjustments, and when it is determined that corresponding adjustments are necessary, the charging pile is adaptively adjusted in operation, thereby realizing comprehensive monitoring and intelligent processing of the operating status of the charging pile, and being able to comprehensively evaluate the operating risk level of the charging pile and provide accurate feedback, thereby reducing the operating safety hazards of the charging pile, ensuring the safe and stable operation of the charging pile, and having a high degree of intelligence.

[0004] In the process of monitoring and processing the internal operating charging piles, the charging stations generally assess whether the corresponding charging piles are operating normally based on the operating parameters of the corresponding charging piles. However, this type of assessment and processing method is relatively one-sided. First, the charging station will cause fluctuations in the operating voltage due to related fluctuations in electricity, which in turn causes fluctuations in the operating parameters of the charging piles. Such band status is prone to misjudgment. Second, the charging station does not set up a better constant adjustment method for charging piles with abnormal fluctuations, which can easily lead to low charging quality generated by the corresponding charging piles in the corresponding period, resulting in poor charging effect. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides a charging station pile operation monitoring system based on online power collection, which solves the problem that the original abnormal fluctuation charging pile assessment method is relatively one-sided and does not fully analyze the related impacts caused by voltage fluctuations.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a charging station pile operation monitoring system based on online power collection, comprising:

[0007] The charging pile monitoring center monitors the power parameters of the charging piles running inside the charging station in real time;

[0008] The band anomaly assessment end, based on the power parameters monitored in real time by the charging pile, confirms the fluctuation value associated with the corresponding power parameter at the previous moment, and determines the abnormal fluctuation charging pile or the abnormal fluctuation period based on the confirmed fluctuation value. The specific method is as follows:

[0009] If there is only a single group of operating charging piles at the current moment: the voltage parameters, current parameters, and power parameters associated with the current moment are calibrated as U1, I1, and G1 in sequence, and the voltage parameters, current parameters, and power parameters associated with the moment before the current moment are calibrated as U2, I2, and G2 in sequence. The fluctuation characteristic Tz associated with the current moment is confirmed using: Tz = |U1-U2|×C1+|I1-I2|×C2+|G1-G2|×C3, where C1, C2, and C3 are all preset fixed coefficient factors. The confirmed fluctuation characteristic Tz is checked with the preset standard Y1: if Tz≤Y1, no processing is performed and monitoring is continued. If Tz>Y1, the charging pile is calibrated as an abnormal fluctuation charging pile, where Y1 is a preset value.

[0010] If there are multiple groups of charging piles in operation at the current moment: use the same processing method as above to confirm the fluctuation characteristics associated with the corresponding charging piles in operation and mark them as Tz k , where k represents the different charging piles in operation at the current moment, and the multiple sets of fluctuation characteristics Tz confirmed at the current moment are k Perform mean processing, confirm the characteristic mean, and check the confirmed characteristic mean with the preset standard Y2: if the characteristic mean is greater than Y2, the current moment is recorded as the abnormal moment; if the characteristic mean is less than or equal to Y2, no calibration is performed and monitoring is continued, where Y2 is the preset value and Y2 is less than Y1. If the abnormal moments do not appear continuously, no calibration is performed; if the abnormal moments appear continuously, the continuous time periods associated with the continuous abnormal moments are locked and recorded as abnormal fluctuation periods, and the locked abnormal fluctuation periods are transmitted to the traceability band analysis terminal;

[0011] The traceability band analysis end, based on the calibrated abnormal fluctuation period, confirms the same-frequency period between different charging piles within the period, and then confirms the overall proportion of the same-frequency period in the abnormal fluctuation period. The overall proportion is checked with the set standard to confirm whether the traceability signal is generated. The specific method is as follows:

[0012] The confirmed abnormal fluctuation period is used as the tracing period, and the band characteristics Tz associated with multiple charging piles in operation during the tracing period are confirmed. k , and generate the band characteristic change curve according to the different band characteristics corresponding to different moments;

[0013] Based on the confirmed tracing period, confirm the changing trend of the characteristic change curves of different bands in the same unit period. If the changing trend is upward, then this unit period is recorded as the same frequency period. Otherwise, no calibration is performed.

[0014] Based on the specific duration of the same-frequency period and the tracing period, the overall proportion of the same-frequency period is determined. The overall proportion = the duration of the same-frequency period ÷ the duration of the tracing period. Confirm whether the overall proportion meets the requirement of: the overall proportion is greater than 90%. If so, a tracing signal is directly generated. If not, the charging pile with fluctuation characteristics greater than Y1 is marked as an abnormal fluctuation charging pile.

[0015] The voltage band analysis and processing end receives the generated traceability signal and confirms the voltage data associated with the abnormal fluctuation period based on the traceability signal, identifies the voltage fluctuation status of the charging station and displays the signal. The specific method is as follows:

[0016] Based on the confirmed abnormal fluctuation period, the voltage data associated with the charging station during this period is confirmed, and based on the different voltage data corresponding to different moments, a voltage data change curve belonging to this abnormal fluctuation period is generated;

[0017] Confirm the voltage fluctuation segment of the voltage data change curve: identify the voltage fluctuation values ​​at adjacent moments, where the voltage fluctuation value = |voltage value at the previous moment - voltage value at the current moment|. If the voltage fluctuation value is greater than Y3, where Y3 is a preset value, the period associated with the adjacent moments is recorded as the voltage fluctuation period. Otherwise, no calibration is performed.

[0018] Confirm the total duration of multiple voltage fluctuation periods within the abnormal fluctuation period and record it as SC, then record the total duration of the abnormal fluctuation period as SS, and use: HD = SC ÷ SS to determine the calibration ratio HD of the voltage fluctuation period. If HD is greater than 80%, directly generate and display the voltage fluctuation signal. If HD is less than or equal to 80%, the charging pile with fluctuation characteristics greater than Y1 is calibrated as an abnormal fluctuation charging pile.

[0019] Preferably, the power parameters include voltage parameters, current parameters and power parameters.

[0020] Preferably, it also includes:

[0021] The control center controls the abnormally fluctuating charging piles that have been calibrated, reduces the charging power of the abnormally fluctuating charging piles, and stops charging when the current and voltage of the abnormally fluctuating charging piles are stable. The specific methods of controlling the abnormally fluctuating charging piles are as follows:

[0022] Based on the calibrated abnormal fluctuation charging pile, reduce the charging power of this abnormal fluctuation charging pile, record the current fluctuation value and voltage fluctuation value of this abnormal fluctuation charging pile during the reduction process, its current fluctuation value = |current value at the previous moment - current value at the current moment|, its voltage fluctuation value = |voltage value at the previous moment - voltage value at the current moment|, and identify whether the current fluctuation value and voltage fluctuation value simultaneously meet the following conditions: voltage fluctuation value ≤ Y3, current fluctuation value ≤ Y4, where Y3 and Y4 are both preset values. If both conditions are met, stop the charging power reduction process of this abnormal fluctuation charging pile. If not, continue to reduce until the current fluctuation value and voltage fluctuation value simultaneously meet the evaluation conditions and stop.

[0023] The present invention provides a charging station pile operation monitoring system based on online power collection. Compared with the existing technology, it has the following advantages:

[0024] This system uses a charging pile monitoring center to comprehensively and in real time collect the voltage, current, and power parameters of charging piles. Using a unique algorithm from the fluctuation anomaly assessment terminal, it can accurately determine abnormal fluctuations in a single charging pile, as well as identify periods of abnormal fluctuations when multiple charging piles are operating. Whether in a single-pile or multi-pile scenario, it can quickly and accurately detect anomalies, greatly improving the efficiency and accuracy of anomaly monitoring and effectively avoiding charging accidents and equipment damage caused by untimely or inaccurate monitoring.

[0025] The tracing band analysis terminal and the voltage band analysis and processing terminal work together to identify the abnormal fluctuation period and conduct in-depth analysis of the cause of the abnormality. By analyzing the proportion of the same frequency period and the voltage fluctuation status, it can accurately distinguish whether the abnormality is caused by the charging pile itself or the voltage fluctuation of the charging station. This effectively avoids misjudgment, provides a reliable basis for subsequent corrective measures, and improves the system's ability to analyze and handle complex abnormal situations.

[0026] For charging piles identified as experiencing abnormal fluctuations, the control center reduces charging power and monitors current and voltage fluctuations in real time until they stabilize. This measure not only ensures charging quality and relatively stable current and voltage during the charging process, but also enables rapid response when anomalies occur, effectively reducing the risk of damage to charging equipment and vehicles caused by abnormal fluctuations, improving the safety and stability of charging stations and ensuring the normal charging needs of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a schematic diagram of the principle framework of the present invention;

[0028] Figure 2 This is a schematic diagram of the charging power reduction process of the present invention. DETAILED DESCRIPTION

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0030] First embodiment

[0031] See also Figure 1 , the present application provides a charging station pile operation monitoring system based on online electric energy collection, including a charging pile monitoring center, a fluctuation anomaly assessment terminal, a traceability band analysis terminal, a voltage band analysis and processing terminal, and a control center, wherein the charging pile monitoring center, the fluctuation anomaly assessment terminal, the traceability band analysis terminal, and the voltage band analysis and processing terminal are electrically connected from the output node to the input node in sequence, and the traceability band analysis terminal and the voltage band analysis and processing terminal are both electrically connected to the input node of the control center;

[0032] The charging pile monitoring center monitors the power parameters of the charging piles running inside the charging station in real time, and transmits the real-time monitored power parameters belonging to different charging piles to the fluctuation abnormality assessment terminal. The power parameters include voltage parameters, current parameters and power parameters. The charging piles are equipped with designated power monitoring sensors, which can quickly and effectively monitor the relevant power parameters of the designated charging piles in real time, and based on the real-time monitored power parameters, assess whether the corresponding charging piles have band abnormalities.

[0033] The band anomaly assessment end, based on the power parameters monitored in real time by the charging pile, confirms the fluctuation value associated with the corresponding power parameter at the previous moment, and determines the abnormal fluctuation charging pile or the abnormal fluctuation period based on the confirmed fluctuation value. The specific method of confirmation is:

[0034] If there is only a single group of operating charging piles at the current moment: the voltage parameter, current parameter, and power parameter associated with the current moment are calibrated as U1, I1, and G1 in sequence, and the voltage parameter, current parameter, and power parameter associated with the moment before the current moment are calibrated as U2, I2, and G2 in sequence. The fluctuation characteristic Tz associated with the current moment is confirmed using: Tz = |U1-U2|×C1+|I1-I2|×C2+|G1-G2|×C3, where C1, C2, and C3 are preset fixed coefficient factors, and their specific values ​​are determined by the operator based on experience. The confirmed fluctuation characteristic Tz is checked with the preset standard Y1: if Tz≤Y1, no processing is performed and monitoring is continued. If Tz>Y1, the charging pile is calibrated as an abnormal fluctuation pile, where Y1 is a preset value, and its specific value is determined by the operator based on experience.

[0035] If there are multiple groups of charging piles in operation at the current moment: use the same processing method as above to confirm the fluctuation characteristics associated with the corresponding charging piles in operation and mark them as Tz k , where k represents the different charging piles in operation at the current moment, and the multiple sets of fluctuation characteristics Tz confirmed at the current moment are k Perform mean processing, confirm the characteristic mean, and check the confirmed characteristic mean with the preset standard Y2: If the characteristic mean is greater than Y2, the current moment is recorded as the abnormal moment. If the characteristic mean is ≤ Y2, no calibration is performed and monitoring is continued. Y2 is a preset value, and its specific value is determined by the operator based on experience. If Y2 is less than Y1, no calibration is performed if the abnormal moments do not appear continuously. If the abnormal moments appear continuously, the continuous time periods associated with the continuous abnormal moments are locked and recorded as abnormal fluctuation periods. The locked abnormal fluctuation periods are transmitted to the traceability band analysis terminal;

[0036] Specifically, when there are multiple charging piles fluctuating synchronously and the overall fluctuation value is high, it is possible that it is caused by voltage fluctuations in the charging station. Therefore, it is necessary to re-analyze the fluctuation data generated by each charging pile in a continuous period to determine the specific abnormal fluctuation situation and avoid the misjudgment of charging pile fluctuations due to voltage fluctuations.

[0037] Among them, the traceability band analysis end, based on the calibrated abnormal fluctuation period, confirms the same frequency period between different charging piles within the period, and then confirms the overall proportion of the same frequency period in the abnormal fluctuation period. The overall proportion is checked with the set standard to confirm whether the traceability signal is generated. The specific method of confirmation is as follows:

[0038] The confirmed abnormal fluctuation period is used as the tracing period, and the band characteristics Tz associated with multiple charging piles in operation during the tracing period are confirmed. k , and generate the band characteristic change curve according to the different band characteristics corresponding to different moments;

[0039] Based on the confirmed tracing period, confirm the changing trend of the characteristic change curves of different bands in the same unit period (the unit period is the specific period between two adjacent unit moments, and the unit moment is the preset moment, generally 1 second). If the changing trend is upward, then this unit period is recorded as the same-frequency period. Otherwise, no calibration is performed.

[0040] Based on the specific duration of the same-frequency period and the tracing period, confirm the overall proportion of the same-frequency period, which is the overall proportion = the duration of the same-frequency period ÷ the duration of the tracing period. Confirm whether the overall proportion meets the requirement: the overall proportion is greater than 90%. If so, directly generate the tracing signal (representing that there are many periods of same-frequency fluctuations and synchronous rises, so voltage tracing analysis is required). If not, the charging pile with fluctuation characteristics greater than Y1 will be calibrated as an abnormal fluctuation charging pile.

[0041] The voltage band analysis and processing end receives the generated traceability signal and confirms the voltage data associated with the abnormal fluctuation period based on the traceability signal, identifies the voltage fluctuation status of the charging station and displays the signal. The specific method of identification is:

[0042] Based on the confirmed abnormal fluctuation period, the voltage data associated with the charging station during this period is confirmed, and based on the different voltage data corresponding to different moments, a voltage data change curve belonging to this abnormal fluctuation period is generated;

[0043] Confirm the voltage fluctuation segment of the voltage data change curve: identify the voltage fluctuation values ​​at adjacent moments, where the voltage fluctuation value = |voltage value at the previous moment - voltage value at the current moment|. If the voltage fluctuation value is greater than Y3, where Y3 is a preset value, the specific value is determined by the operator based on experience. Then the period associated with the adjacent moments is recorded as the voltage fluctuation period. Otherwise, no calibration is performed.

[0044] Confirm the total duration of multiple voltage fluctuation periods within the abnormal fluctuation period and record it as SC, and then record the total duration of the abnormal fluctuation period as SS. Use: HD = SC ÷ SS to determine the calibration ratio HD of the voltage fluctuation period. If HD>80%, directly generate and display the voltage fluctuation signal. If HD≤80%, the charging pile with fluctuation characteristics>Y1 is calibrated as an abnormal fluctuation charging pile. Specifically, when it is not a same-frequency fluctuation caused by voltage fluctuation, it is necessary to conduct a single analysis of the single operating charging pile and reconfirm the abnormal fluctuation charging pile to further improve the specific accuracy of the operating charging pile assessment process.

[0045] Second embodiment

[0046] In the specific implementation process, compared with the above embodiment, this embodiment mainly focuses on the actual control and operation of abnormal fluctuation charging piles, which is executed by a designated control center;

[0047] The control center controls the abnormally fluctuating charging piles that have been calibrated, reduces the charging power of the abnormally fluctuating charging piles, and stops charging when the current and voltage of the abnormally fluctuating charging piles are stable. The specific methods of the control are as follows:

[0048] Combine Figure 2Based on the calibrated abnormally fluctuating charging pile, reduce the charging power of the abnormally fluctuating charging pile, record the current fluctuation value and voltage fluctuation value of the abnormally fluctuating charging pile during the reduction process, where the current fluctuation value = |current value at the previous moment - current value at the current moment|, and the voltage fluctuation value = |voltage value at the previous moment - voltage value at the current moment|, and identify whether the current fluctuation value and the voltage fluctuation value simultaneously meet the following conditions: voltage fluctuation value ≤ Y3, current fluctuation value ≤ Y4, where Y3 and Y4 are both preset values. If both conditions are met, stop the charging power reduction process of the abnormally fluctuating charging pile. If not, continue to reduce the charging power until both the current fluctuation value and the voltage fluctuation value meet the evaluation conditions.

[0049] Specifically, when there are numerical fluctuations in the abnormally fluctuating charging pile, in order to ensure the charging quality, it is necessary to reduce the degree of fluctuation in the charging pile parameters so that the charging current and voltage are relatively stable, thereby ensuring the charging effect of the abnormally fluctuating charging pile.

[0050] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0051] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. Charging station pile operation monitoring system based on online power collection, characterized by: include: The charging pile monitoring center monitors the power parameters of the charging piles running inside the charging station in real time; The band anomaly assessment end, based on the power parameters monitored in real time by the charging pile, confirms the fluctuation value associated with the corresponding power parameter at the previous moment, and determines the abnormal fluctuation charging pile or the abnormal fluctuation period based on the confirmed fluctuation value. The specific method is as follows: If there is only a single group of operating charging piles at the current moment: the voltage parameters, current parameters, and power parameters associated with the current moment are calibrated as U1, I1, and G1 in sequence, and the voltage parameters, current parameters, and power parameters associated with the moment before the current moment are calibrated as U2, I2, and G2 in sequence. The fluctuation characteristic Tz associated with the current moment is confirmed using: Tz=|U1-U2|×C1+|I1-I2|×C2+|G1-G2|×C3, where C1, C2, and C3 are preset fixed coefficient factors. The confirmed fluctuation characteristic Tz is checked against the preset standard Y1: if Tz≤Y1, no processing is performed and monitoring is continued. If Tz>Y1, the charging pile is calibrated as an abnormal fluctuation charging pile, where Y1 is the preset value. If there are multiple groups of charging piles in operation at the current moment: use the same processing method as above to confirm the fluctuation characteristics associated with the corresponding charging piles in operation and mark them as Tz k , where k represents the different charging piles in operation at the current moment, and the multiple sets of fluctuation characteristics Tz confirmed at the current moment are k Perform mean processing, confirm the characteristic mean, and check the confirmed characteristic mean with the preset standard Y2: if the characteristic mean is greater than Y2, the current moment is recorded as the abnormal moment; if the characteristic mean is less than or equal to Y2, no calibration is performed and monitoring is continued, where Y2 is the preset value and Y2 is less than Y1. If the abnormal moments do not appear continuously, no calibration is performed; if the abnormal moments appear continuously, the continuous time periods associated with the continuous abnormal moments are locked and recorded as abnormal fluctuation periods, and the locked abnormal fluctuation periods are transmitted to the traceability band analysis terminal; The traceability band analysis end, based on the calibrated abnormal fluctuation period, confirms the same-frequency period between different charging piles within the period, and then confirms the overall proportion of the same-frequency period in the abnormal fluctuation period. The overall proportion is checked with the set standard to confirm whether the traceability signal is generated. The specific method is as follows: The confirmed abnormal fluctuation period is used as the tracing period, and the band characteristics Tz associated with multiple charging piles in operation during the tracing period are confirmed. k , and generate the band characteristic change curve according to the different band characteristics corresponding to different moments; Based on the confirmed tracing period, confirm the changing trend of the characteristic change curves of different bands in the same unit period. If the changing trend is upward, then this unit period is recorded as the same frequency period. Otherwise, no calibration is performed. Based on the specific duration of the same-frequency period and the tracing period, the overall proportion of the same-frequency period is determined. The overall proportion = the duration of the same-frequency period ÷ the duration of the tracing period. Confirm whether the overall proportion meets the requirement of > 90%. If so, a tracing signal is directly generated. If not, the charging pile with fluctuation characteristics > Y1 is marked as an abnormal fluctuation charging pile. The voltage band analysis and processing end receives the generated traceability signal, and based on this traceability signal, confirms the voltage data associated with the abnormal fluctuation period, identifies the voltage fluctuation status of the charging station and displays the signal.

2. The charging station pile operation monitoring system based on online power collection according to claim 1 is characterized in that: The power parameters include voltage parameters, current parameters and power parameters.

3. The charging station pile operation monitoring system based on online power collection according to claim 1 is characterized in that: The specific method for the voltage band analysis and processing end to identify the voltage fluctuation state of the charging station is: Based on the confirmed abnormal fluctuation period, the voltage data associated with the charging station during this period is confirmed, and based on the different voltage data corresponding to different moments, a voltage data change curve belonging to this abnormal fluctuation period is generated; Confirm the voltage fluctuation segment of the voltage data change curve: identify the voltage fluctuation values ​​at adjacent moments, where the voltage fluctuation value = |voltage value at the previous moment - voltage value at the current moment|. If the voltage fluctuation value is greater than Y3, where Y3 is the preset value, the period associated with the adjacent moments is recorded as the voltage fluctuation period. Otherwise, no calibration is performed. Confirm the total duration of multiple voltage fluctuation periods within the abnormal fluctuation period and record it as SC, then record the total duration of the abnormal fluctuation period as SS, and use: HD=SC÷SS to determine the calibration ratio HD of the voltage fluctuation period. If HD>80%, directly generate and display the voltage fluctuation signal. If HD≤80%, the charging pile with fluctuation characteristics>Y1 is calibrated as an abnormal fluctuation charging pile.

4. The charging station pile operation monitoring system based on online power collection according to claim 1 is characterized in that: Also includes: The control center makes relevant adjustments to the calibrated abnormally fluctuating charging piles, reduces the charging power of the abnormally fluctuating charging piles, and stops when the current and voltage of the abnormally fluctuating charging piles are stable.

5. The charging station pile operation monitoring system based on online power collection according to claim 4 is characterized in that: The specific method for the control center to control the abnormal fluctuation of the charging pile is as follows: Based on the calibrated abnormal fluctuation charging pile, reduce the charging power of this abnormal fluctuation charging pile, and record the current fluctuation value and voltage fluctuation value of this abnormal fluctuation charging pile during the reduction process. Its current fluctuation value = |current value at the previous moment - current value at the current moment|, its voltage fluctuation value = |voltage value at the previous moment - voltage value at the current moment|, and identify whether the current fluctuation value and voltage fluctuation value simultaneously meet the following conditions: voltage fluctuation value ≤ Y3, current fluctuation value ≤ Y4, where Y3 and Y4 are both preset values. If both conditions are met, stop the charging power reduction process of this abnormal fluctuation charging pile. If not, continue to reduce until the current fluctuation value and voltage fluctuation value simultaneously meet the evaluation conditions and stop.

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