A charging station abnormal charging pile identification and management system

Abstract

The present invention discloses an abnormal charging pile identification and management system for charging stations. The present invention relates to the field of charging pile management technology and solves the problem that different characteristic standards are not confirmed for different charging stations, resulting in large deviations in their assessment accuracy. The present invention monitors charging data in real time, and the band analysis and processing end compares it with preset band characteristics to quickly and accurately assess whether the charging pile is abnormal or faulty. Compared with a single determination method, this method based on multi-dimensional feature comparison has greatly improved comprehensiveness, effectively guarantees the accuracy of determining abnormal charging piles, greatly improves the reliability of charging pile status monitoring, timely discovers and handles potential problems, and reduces the inconvenience of use and operational losses caused by charging pile failures.

Description

Technical Field

[0001] The present invention relates to the technical field of charging pile management, and in particular to an abnormal charging pile identification and management system for a charging station. Background Art

[0002] Charging stations are places that provide charging services for various electric devices (such as electric vehicles and electric bicycles). With the rapid development of the new energy industry, their importance has become increasingly prominent, playing a key role in promoting green travel and energy transformation.

[0003] The application with publication number CN117565724B discloses a method for identifying abnormal status of a charging pile, including the following steps: obtaining basic information and charging data of the charging pile; pre-processing the charging data to obtain an effective charging band and a loss band of the charging pile body; setting a charging power variation coefficient threshold, calculating the effective charging band charging power variation coefficient and the charging pile body loss band charging power variation coefficient; judging whether the effective charging band charging power variation coefficient exceeds the charging power variation coefficient threshold, if so, it is considered that the charging pile access status is abnormal and a prompt is given, if not, it is considered that the charging pile status is normal; judging whether the charging pile body loss band charging power variation coefficient exceeds the charging power variation coefficient threshold, if so, it is considered that the charging pile loss status is abnormal and a prompt is given, if not, it is considered that the charging pile status is normal. The beneficial effects of this application: realizing the identification of abnormal access and abnormal loss of charging piles, improving the identification efficiency while ensuring the identification accuracy;

[0004] In the process of abnormal identification and processing, the charging stations generally identify abnormalities in the operating parameters of the charging piles based on preset specific standards and assess whether there are abnormal conditions in the charging piles. However, in actual application, this original identification and processing method has different power characteristics for each different charging station. The accuracy of the actual assessment using a unified standard needs to be improved. Since different characteristic standards have not been confirmed for different charging stations, the assessment accuracy deviation is relatively large. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides a charging station abnormal charging pile identification and management system, which solves the problem that different feature standards are not confirmed for different charging stations, resulting in large deviations in their assessment accuracy.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A charging station abnormal charging pile identification and management system, comprising:

[0007] The charging waveform analysis end extracts the charging waveforms associated with different charging power levels generated by this charging station in the past stages from the cloud library, performs preliminary classification of charging waveforms in different power ranges, and then performs band analysis on the multiple groups of charging waveforms that have been preliminarily classified to determine the band characteristics of the corresponding power ranges. The specific method is as follows:

[0008] Based on a preset power range, confirming a plurality of charging waveform groups associated with the corresponding power range, and marking the confirmed plurality of charging waveform groups as a waveform set to be analyzed;

[0009] Band confirmation of a single group of waveforms in the waveform set to be analyzed: Confirm the numerical change trend of adjacent points in a single group of waveforms, and calibrate the charging power associated with the corresponding points in the single group of waveforms as G i , where i represents different points, using: (G j -G j-1 )=Q k Confirm the numerical change trend Q of the corresponding adjacent points k , k represents different adjacent point value segments, j∈i, and j≥2, and confirm the value change trend of adjacent points in sequence based on the initial point of the waveform, and convert the corresponding waveform into several groups of value change trends Q k Sort and confirm Q k sequence;

[0010] Q k Sequence to confirm the trend, select different bands: identify adjacent Q k The difference between the change and the change is = Q q -Q q-1 , where q∈k and q≥2, when the change difference is ≤Y1, the turning points between the bands before and after the change difference are calibrated as the first group of turning points, otherwise no calibration is performed; when the change difference is ≥Y2, the turning points between the bands before and after the change difference are calibrated as the second group of turning points, otherwise no calibration is performed, where Y1 and Y2 are both preset values;

[0011] The waveform segment between the initial point and the first group of turning points in a single group of waveforms is calibrated as a constant current charging band, the waveform segment between the first group of turning points and the second group of turning points is calibrated as a constant voltage charging band, and the waveform segment between the second group of turning points and the end point is calibrated as a trickle charging band. The line lengths of the constant current charging band, the constant voltage charging band, and the trickle charging band are ratio-processed to determine the band ratio column;

[0012] The other waveforms in the waveform set to be analyzed are processed in the same way. The band ratio columns associated with the corresponding waveforms are confirmed. The minimum and maximum charging powers associated with several constant current charging bands are then confirmed. The power range belonging to this constant current charging band is locked. The power ranges of the constant voltage charging band and the trickle charging band are confirmed in the same way.

[0013] Score the confirmed groups of band ratio columns, adjust the ratios associated with the constant current charging bands to the same ratio, and during the ratio adjustment process, adjust the corresponding band ratio columns accordingly. Confirm the score associated with the corresponding band ratio column, which is the score = constant current charging band ratio ÷ constant voltage charging band ratio ÷ trickle charging band ratio. Then confirm the minimum and maximum scores confirmed by the groups of band ratio columns to lock the score range.

[0014] The multiple power intervals and score intervals confirmed for the waveform set to be analyzed are used as the band features of this power range, and are stored in the band feature classification storage terminal;

[0015] The band feature classification storage terminal stores the band features associated with different power ranges;

[0016] The charging pile monitoring center monitors the charging data of the charging piles in the charging station in real time and transmits the real-time monitored charging data to the band analysis and processing terminal or the abnormal charging pile analysis terminal;

[0017] The band analysis and processing end performs initial processing on the monitored charging data, first determining the power range associated with this charging data, then confirming the band of the charging waveform generated by this charging data, and comparing the confirmed band with the band characteristics associated with the corresponding power range to assess whether the corresponding charging pile is abnormal or faulty. The specific method is as follows:

[0018] Confirm the power range associated with the corresponding charging pile during charging, and lock the stored band characteristics based on this power range. After the charging pile is fully charged, generate the charging waveform belonging to this charging;

[0019] Confirm the numerical change trend of adjacent points in the charging waveform, and use the same method of band confirmation for a single group of waveforms in the waveform set to be analyzed to lock the constant current charging band, constant voltage charging band and trickle charging band associated with this charging waveform. Then calibrate the band line lengths of the constant current charging band, constant voltage charging band and trickle charging band as L1, L2 and L3 respectively, and use: feature score = L1 ÷ L2 ÷ L3 to confirm the feature score associated with this charging waveform, and check this feature score with the score interval locked in the band feature: if the feature score ∈ score interval, then perform subsequent feature comparison. If the feature score is The score range is such that the charging pile is marked as a faulty charging pile;

[0020] Based on the power range of the constant current charging band in the band characteristics, the constant current charging band in this charging waveform is compared, and the bands that do not belong to this power range are calibrated as substandard bands. Similarly, the substandard bands of the constant voltage charging band and the trickle charging band are confirmed, and the substandard band line length ratio ZB associated with this charging waveform is confirmed, where ZB = substandard band line length ÷ total length of the charging waveform band. If ZB>10%, the charging pile is directly calibrated as an abnormal charging pile. Otherwise, no calibration is performed;

[0021] The abnormal charging pile analysis terminal confirms the abnormal cause of the calibrated abnormal charging pile. Based on the current data associated with the abnormal charging pile during the charging process, it identifies whether the current waveform is affected by harmonics, confirms the abnormal cause based on the identification result, and simultaneously displays the signal through the signal terminal. The specific method is as follows:

[0022] Confirm the current data associated with the abnormal charging pile during the charging process and generate a current waveform. Then, locate the band distortion point from the current waveform. If the current change value before and after the band distortion point exceeds 5A, calibrate the band distortion points in sequence. If not, directly generate a voltage fluctuation signal through the signal terminal for display.

[0023] Identify the time intervals between band distortion points within the current waveform: Starting from the initial point of the current waveform, identify the first group of band distortion points, and then confirm the time intervals between the first and second groups of band distortion points, and then confirm the time intervals between subsequent consecutive band distortion points.

[0024] The confirmed groups of time intervals are subjected to variance processing to confirm the time variance. If the time variance is less than Y3, a harmonic influence signal is generated and displayed through the signal terminal, where Y3 is a preset value.

[0025] Preferably, the charging data includes battery power data, power data and current data.

[0026] Preferably, if the time variance is ≥ Y3, a voltage fluctuation signal is generated and displayed through the signal terminal.

[0027] The present invention provides a charging station abnormal charging pile identification and management system. Compared with the existing technology, it has the following advantages:

[0028] By extracting charging waveforms from the cloud library and performing preliminary classification and band analysis on charging waveforms in different power ranges, the present invention can accurately identify the band characteristics of the corresponding power range, including ratio characteristics and numerical characteristics. This provides a solid data foundation for subsequent charging pile status assessment and abnormality judgment, making the analysis more targeted and scientific.

[0029] The charging pile monitoring center monitors charging data in real time. The band analysis and processing end can quickly and accurately assess whether a charging pile is abnormal or faulty by comparing it with preset band characteristics. This multi-dimensional feature comparison method is significantly more comprehensive than a single determination method, effectively ensuring the accuracy of abnormal charging pile identification and greatly improving the reliability of charging pile status monitoring. It can promptly detect and address potential problems and reduce the inconvenience and operational losses caused by charging pile failures.

[0030] For calibrated abnormal charging piles, the cause of the anomaly can be accurately identified based on current data and waveform analysis. By identifying the band distortion points of the current waveform and analyzing the time interval, it can effectively determine whether it is affected by harmonics. This information is then displayed on the signal terminal, providing operators with clear fault information, allowing them to quickly take targeted measures, improve troubleshooting and repair efficiency, and reduce operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a schematic diagram of the principle framework of the present invention;

[0032] Figure 2 This is a schematic diagram of current waveform evaluation according to the present invention. DETAILED DESCRIPTION

[0033] 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.

[0034] First embodiment

[0035] See also Figure 1 , the present application provides a charging station abnormal charging pile identification and management system, including a charging waveform analysis end, a waveform feature classification and storage end, a band analysis and processing end, an abnormal charging pile analysis end, a charging pile monitoring center and a signal end;

[0036] The charging waveform analysis terminal is electrically connected to the waveform feature classification storage terminal input node, and the waveform feature classification storage terminal is electrically connected to the band analysis processing terminal input node. The charging pile monitoring center is electrically connected to the band analysis processing terminal or the abnormal charging pile analysis terminal input node, and the band analysis processing terminal, the abnormal charging pile analysis terminal and the signal terminal are electrically connected in sequence from the output node to the input node.

[0037] The charging waveform analysis end extracts the charging waveforms associated with different charging powers generated by this charging station in the past stages from the cloud library, performs preliminary classification of the charging waveforms in different power ranges, and then performs band analysis on the multiple groups of charging waveforms that have been preliminarily classified to confirm the band characteristics of the corresponding power range. Specifically, the band characteristics include the ratio characteristics of the charging waveform bands and the numerical characteristics of the power. The charging waveform bands include the constant current charging band, the constant voltage charging band, and the trickle charging stage. Based on the specific numerical length of the corresponding band and the associated power value, the band characteristics of the corresponding power range are confirmed.

[0038] The specific method for determining the corresponding power range band characteristics is:

[0039] Based on a preset power range (there are multiple power ranges, representing the remaining power of the rechargeable battery, generally 0%-5%, 5%-10%, ..., 50%-55%, 55%-60%, where 0%-5% is represented by an interval format of (0%, 5%], where "]" includes 5% and "(" does not include 0%), several groups of charging waveforms associated with the corresponding power range are confirmed, and the confirmed several groups of charging waveforms are calibrated as a waveform set to be analyzed;

[0040] Band confirmation of a single group of waveforms in the waveform set to be analyzed: Confirm the numerical change trend of adjacent points in a single group of waveforms, and calibrate the charging power associated with the corresponding points in the single group of waveforms as G i , where i represents different points, using: (G j -G j-1 )=Q k Confirm the numerical change trend Q of the corresponding adjacent points k , k represents different adjacent point value segments, j∈i, and j≥2, and confirm the value change trend of adjacent points in sequence based on the initial point of the waveform, and convert the corresponding waveform into several groups of value change trends Q k Sort and confirm Q k sequence;

[0041] Q k Sequence to confirm the trend, select different bands: identify adjacent Q k The difference between the change and the change is = Q q -Q q-1 , where q∈k and q≥2, when the change difference is ≤Y1, the turning points between the bands before and after the change difference are calibrated as the first group of turning points, otherwise no calibration is performed; when the change difference is ≥Y2, the turning points between the bands before and after the change difference are calibrated as the second group of turning points, otherwise no calibration is performed, where Y1 and Y2 are both preset values;

[0042] The waveform segment between the initial point and the first group of turning points in a single group of waveforms is calibrated as the constant current charging band, the waveform segment between the first group of turning points and the second group of turning points is calibrated as the constant voltage charging band, and the waveform segment between the second group of turning points and the end point is calibrated as the trickle charging band. The line lengths of the constant current charging band, constant voltage charging band, and trickle charging band are ratio-processed to determine the band ratio sequence. For example, if the line lengths of the constant current charging band, constant voltage charging band, and trickle charging band are 15, 20, and 25, respectively, then after the ratio processing, the determined band ratio sequence is 3:4:5.

[0043] The other waveforms in the waveform set to be analyzed are processed in the same way. The band ratio columns associated with the corresponding waveforms are confirmed. The minimum and maximum charging powers associated with several constant current charging bands are then confirmed. The power range belonging to this constant current charging band is locked. The power ranges of the constant voltage charging band and the trickle charging band are confirmed in the same way.

[0044] Score the confirmed groups of band ratio columns, adjust the ratios associated with the constant current charging bands to the same ratio, and during the ratio adjustment process, the corresponding band ratio columns will be adjusted accordingly. Confirm the score associated with the corresponding band ratio column, which is the score = constant current charging band ratio ÷ constant voltage charging band ratio ÷ trickle charging band ratio. Then confirm the minimum score and maximum score confirmed by the groups of band ratio columns to lock the score range. Specifically, it is proposed that there are two groups of band ratio columns, which are 1:2 :5 and 2:3:8, then after adjustment, the ratio of the constant current charging band is adjusted to the same value, that is, adjusted to 2, then the first ratio column is adjusted to 2:4:10, so the two ratio columns are adjusted to 2:4:10 and 2:3:8, and then the score confirmation method is used to lock the score associated with the corresponding ratio column, its score = 2÷4÷10 = 1 / 20, and its other group score = 2÷3÷8 = 1 / 12, then the confirmed score interval is [1 / 20, 1 / 12];

[0045] The multiple groups of power intervals and score intervals confirmed for the waveform set to be analyzed are used as the band features of this power range and are stored through the band feature classification storage terminal.

[0046] Second embodiment

[0047] The above embodiment is for the specific determination of relevant standards. This embodiment is mainly aimed at the specific determination of abnormal charging piles.

[0048] The charging pile monitoring center monitors the charging data of the charging piles in the charging station in real time and transmits the real-time monitored charging data to the band analysis and processing end or the abnormal charging pile analysis end. The charging data includes battery power data, power data and current data.

[0049] The band analysis and processing end performs initial processing on the monitored charging data, first determining the power range associated with this charging data, then confirming the band of the charging waveform generated by this charging data, and comparing the confirmed band with the band characteristics associated with the corresponding power range to assess whether the corresponding charging pile is abnormal or faulty. The specific method of comparison is as follows:

[0050] Confirm the power range associated with the corresponding charging pile during charging, and lock the stored band characteristics based on this power range. After the charging pile is fully charged, generate the charging waveform belonging to this charging;

[0051] Confirm the numerical change trend of adjacent points in the charging waveform, and use the same method of band confirmation for a single group of waveforms in the waveform set to be analyzed to lock the constant current charging band, constant voltage charging band and trickle charging band associated with this charging waveform. Then calibrate the band line lengths of the constant current charging band, constant voltage charging band and trickle charging band as L1, L2 and L3 respectively, and use: feature score = L1 ÷ L2 ÷ L3 to confirm the feature score associated with this charging waveform, and check this feature score with the score interval locked in the band feature: if the feature score ∈ score interval, then perform subsequent feature comparison. If the feature score is The score range is such that the charging pile is marked as a faulty charging pile;

[0052] Based on the power range of the constant current charging band in the band characteristics, the constant current charging band in this charging waveform is compared, and the bands that do not belong to this power range are calibrated as substandard bands. Similarly, the substandard bands of the constant voltage charging band and the trickle charging band are confirmed, and the substandard band line length ratio ZB associated with this charging waveform is confirmed, where ZB = substandard band line length ÷ total length of the charging waveform band. If ZB>10%, the charging pile is directly calibrated as an abnormal charging pile. Otherwise, no calibration is performed.

[0053] Specifically, based on the numerical characteristic standards confirmed in past historical stages, the charging data generated during the current charging process are subjected to relevant confirmation of the numerical characteristics to assess whether the charging piles in this charging station are in normal operation. This determination method is more comprehensive than a single determination method, and can effectively ensure the specific accuracy of the determination of abnormal charging piles, thereby improving the overall effect of the determination of charging piles.

[0054] Its abnormal electric pile analysis terminal, combined with Figure 2, confirm the abnormal cause of the calibrated abnormal charging pile, identify whether the current waveform is affected by harmonics based on the current data associated with the abnormal charging pile during the charging process, and confirm the abnormal cause based on the identification result, and synchronously display the signal through the signal end. The specific method of identification is:

[0055] Confirm the current data associated with the abnormal charging pile during the charging process and generate a current waveform. Then, locate the band distortion point from the current waveform. If the current change value before and after the band distortion point exceeds 5A, calibrate the band distortion points in sequence. If not, directly generate a voltage fluctuation signal through the signal terminal for display.

[0056] Identify the time intervals between band distortion points within the current waveform: Starting from the initial point of the current waveform, identify the first group of band distortion points, and then confirm the time intervals between the first and second groups of band distortion points, and then confirm the time intervals between subsequent consecutive band distortion points.

[0057] Perform variance processing on the confirmed time intervals to confirm the time variance. If the time variance is less than Y3 (indicating that the time interval dispersion is extremely small, i.e., the distortion points appear regularly), a harmonic impact signal is generated and displayed through the signal terminal. Y3 is a preset value, and its specific value is determined by the operator based on experience. Otherwise, a voltage fluctuation signal is generated and displayed through the signal terminal.

[0058] Specifically, when harmonics are present, the current waveform will have corresponding variation distortion points, and these variation distortion points appear regularly. By locking the variation distortion points and analyzing the time intervals, it is possible to assess whether the corresponding charging pile is affected by the corresponding harmonics and display the signal.

[0059] 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.

[0060] 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. A charging station abnormal charging pile identification and management system, characterized by: include: The charging waveform analysis end extracts the charging waveforms associated with different charging power levels generated by this charging station in the past from the cloud library, performs preliminary classification of charging waveforms in different power ranges, and then performs band analysis on the multiple groups of pre-classified charging waveforms to confirm the band characteristics of the corresponding power ranges; The band feature classification storage terminal stores the band features associated with different power ranges; The charging pile monitoring center monitors the charging data of the charging piles in the charging station in real time and transmits the real-time monitored charging data to the band analysis and processing terminal or the abnormal charging pile analysis terminal; The band analysis and processing end performs initial processing on the monitored charging data, first determining the power range associated with this charging data, then confirming the band of the charging waveform generated by this charging data, and comparing the confirmed band with the band characteristics associated with the corresponding power range to assess whether the corresponding charging pile is abnormal or faulty; The abnormal charging pile analysis end confirms the abnormal cause of the calibrated abnormal charging pile, identifies whether the current waveform is affected by harmonics based on the current data associated with the abnormal charging pile during the charging process, confirms the abnormal cause based on the identification result, and simultaneously displays the signal through the signal end.

2. The abnormal charging pile identification and management system for charging stations according to claim 1 is characterized in that: The charging waveform analysis terminal determines the characteristics of the corresponding power range band in the following specific manner: Based on a preset power range, confirming a plurality of charging waveform groups associated with the corresponding power range, and marking the confirmed plurality of charging waveform groups as a waveform set to be analyzed; Band confirmation of a single group of waveforms in the waveform set to be analyzed: Confirm the numerical change trend of adjacent points in a single group of waveforms, and calibrate the charging power associated with the corresponding points in the single group of waveforms as G i , where i represents different points, using: (G j -G j-1 )=Q k Confirm the numerical change trend Q of the corresponding adjacent points k , k represents different adjacent point value segments, j∈i, and j≥2, and confirm the value change trend of adjacent points in sequence based on the initial point of the waveform, and convert the corresponding waveform into several groups of value change trends Q k Sort and confirm Q k sequence; Q k Sequence to confirm the trend, select different bands: identify adjacent Q k The difference between the change and the change is = Q q -Q q-1 , where q∈k and q≥2, when the change difference is ≤Y1, the turning points between the bands before and after the change difference are calibrated as the first group of turning points, otherwise no calibration is performed; when the change difference is ≥Y2, the turning points between the bands before and after the change difference are calibrated as the second group of turning points, otherwise no calibration is performed, where Y1 and Y2 are both preset values; The waveform segment between the initial point and the first group of turning points in a single group of waveforms is calibrated as a constant current charging band, the waveform segment between the first group of turning points and the second group of turning points is calibrated as a constant voltage charging band, and the waveform segment between the second group of turning points and the end point is calibrated as a trickle charging band. The line lengths of the constant current charging band, the constant voltage charging band, and the trickle charging band are ratio-processed to determine the band ratio column; The other waveforms in the waveform set to be analyzed are processed in the same way. The band ratio columns associated with the corresponding waveforms are confirmed. The minimum and maximum charging powers associated with several constant current charging bands are then confirmed. The power range belonging to this constant current charging band is locked. The power ranges of the constant voltage charging band and the trickle charging band are confirmed in the same way. Score the confirmed groups of band ratio columns, adjust the ratios associated with the constant current charging bands to the same ratio, and during the ratio adjustment process, adjust the corresponding band ratio columns accordingly. Confirm the score associated with the corresponding band ratio column, which is the score = constant current charging band ratio ÷ constant voltage charging band ratio ÷ trickle charging band ratio. Then confirm the minimum and maximum scores confirmed by the groups of band ratio columns to lock the score range. The multiple groups of power intervals and score intervals confirmed for the waveform set to be analyzed are used as the band features of this power range and are stored through the band feature classification storage terminal.

3. The abnormal charging pile identification and management system for charging stations according to claim 1, characterized in that: The charging data includes battery power data, power data, and current data.

4. The abnormal charging pile identification and management system for charging stations according to claim 1, characterized in that: The specific method for the band analysis and processing end to assess whether the corresponding charging pile is faulty is: Confirm the power range associated with the corresponding charging pile during charging, and lock the stored band characteristics based on this power range. After the charging pile is fully charged, generate the charging waveform belonging to this charging; Confirm the numerical change trend of adjacent points in the charging waveform, and use the same method of band confirmation for a single group of waveforms in the waveform set to be analyzed to lock the constant current charging band, constant voltage charging band and trickle charging band associated with this charging waveform. Then calibrate the band line lengths of the constant current charging band, constant voltage charging band and trickle charging band as L1, L2 and L3 respectively, and use: feature score = L1 ÷ L2 ÷ L3 to confirm the feature score associated with this charging waveform, and check this feature score with the score interval locked in the band feature: if the feature score ∈ score interval, then perform subsequent feature comparison. If the feature score is The score range is used to mark this charging pile as a faulty charging pile.

5. The abnormal charging pile identification and management system for charging stations according to claim 4 is characterized in that: The specific method for the band analysis and processing end to assess whether the corresponding charging pile is abnormal is as follows: Based on the power range of the constant current charging band in the band characteristics, the constant current charging band in this charging waveform is compared, and some bands that do not belong to this power range are calibrated as substandard bands. Similarly, the substandard bands of the constant voltage charging band and the trickle charging band are confirmed, and the substandard band line length ratio ZB associated with this charging waveform is confirmed, where ZB = substandard band line length ÷ total length of the charging waveform band. If ZB>10%, the charging pile is directly calibrated as an abnormal charging pile. Otherwise, no calibration is performed.

6. The abnormal charging pile identification and management system for charging stations according to claim 5, characterized in that: The abnormal charging pile analysis terminal confirms the cause of the abnormality in the following specific ways: Confirm the current data associated with the abnormal charging pile during the charging process and generate a current waveform, and lock the band distortion point from the current waveform. The current change value before and after the band distortion point exceeds 5A. If it exists, the band distortion points are calibrated in turn. If not, a voltage fluctuation signal is directly generated through the signal end for display.

7. The abnormal charging pile identification and management system for charging stations according to claim 6, characterized in that: The abnormal charging pile analysis terminal may further include: Identify the time intervals between band distortion points within the current waveform: Starting from the initial point of the current waveform, identify the first group of band distortion points, and then confirm the time intervals between the first and second groups of band distortion points, and then confirm the time intervals between subsequent consecutive band distortion points. The confirmed groups of time intervals are subjected to variance processing to confirm the time variance. If the time variance is less than Y3, a harmonic influence signal is generated and displayed through the signal terminal, where Y3 is a preset value.

8. The abnormal charging pile identification and management system for charging stations according to claim 7, characterized in that: If the time variance is ≥ Y3, a voltage fluctuation signal is generated and displayed through the signal terminal.

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