Identification and management system for abnormal charging piles in charging station

Abstract

The invention discloses an identification and management system for abnormal charging piles in a charging station, relates to the technical field of charging pile management, and solves the problem that the evaluation accuracy deviation is large due to the fact that different characteristic standards are not confirmed for different charging stations. The wave band analysis processing end can quickly and accurately evaluate whether the charging pile is abnormal or has a fault through comparison with preset wave band characteristics; compared with a single determination mode, the mode based on multi-dimensional feature comparison has the advantages that the comprehensiveness is greatly improved, the determination accuracy of the abnormal charging pile is effectively guaranteed, the reliability of state monitoring of the charging pile is greatly improved, potential problems are found and processed in time, and inconvenience in use and operation loss caused by faults of the charging pile are reduced.

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 cars, electric bicycles, etc.). 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; preprocessing 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 charging power variation coefficient of the effective charging band and the charging power variation coefficient of the charging pile body loss band; judging whether the charging power variation coefficient of the effective charging band exceeds the charging power variation coefficient threshold, if so, it is considered that the access status of the charging pile is abnormal and a prompt is given, if not, it is considered that the charging pile state is normal; judging whether the charging power variation coefficient of the charging pile body loss band exceeds the charging power variation coefficient threshold, if so, it is considered that the loss status of the charging pile is abnormal and a prompt is given, if not, it is considered that the charging pile state is normal. Beneficial effects of the present 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, this original identification and processing method, in actual application, each different charging station has different power characteristics. The accuracy of the actual assessment using a unified standard needs to be improved, because different characteristic standards have not been confirmed for different charging stations, resulting in large deviations in the assessment accuracy. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an abnormal charging pile identification and management system for charging stations, which solves the problem that different characteristic standards are not confirmed for different charging stations, resulting in large deviations in 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 the 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 initially classified to confirm the band characteristics of the corresponding power range. The specific method is as follows:

[0008] Based on a preset power range, confirming a plurality of charging waveforms associated with the corresponding power range, and marking the confirmed plurality of charging waveforms 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 confirms the value change trend of adjacent points in sequence from the initial point of the waveform, and converts several groups of value change trends Q confirmed by the corresponding waveform into k Sort and confirm Q k sequence;

[0010] Q k Sequence to confirm the trend, select different bands: identify adjacent Q in the sequence k The change difference between the two is Q q -Q q-1 , where q∈k, and q≥2, when the change difference is ≤Y1, the turning point between the bands before and after the change difference is calibrated as the first group of turning points, otherwise no calibration is performed; when the change difference is ≥Y2, the turning point between the bands before and after the change difference is 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 confirm the band ratio column;

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

[0013] The confirmed groups of band ratio columns are scored, and the ratios associated with the constant current charging bands are adjusted to the same ratio. During the ratio adjustment process, the corresponding band ratio columns are adjusted accordingly, and the scores associated with the corresponding band ratio columns are confirmed, and the score = constant current charging band ratio ÷ constant voltage charging band ratio ÷ trickle charging band ratio. Then the minimum score and the maximum score confirmed by the groups of band ratio columns are confirmed to lock the score range;

[0014] 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;

[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 processing end or the abnormal charging pile analysis end;

[0017] The band analysis and processing end performs initial processing on the monitored charging data, prioritizes the power range associated with this charging data, and then performs band confirmation on the charging waveform generated by this charging data. The confirmed band is compared 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 a 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, and 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 The score range marks this charging pile 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 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;

[0021] The abnormal charging pile analysis terminal 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, and confirms the abnormal cause based on the identification result, and synchronously 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, 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, calibrate the band distortion points in turn. If not, directly generate a voltage fluctuation signal through the signal end for display;

[0023] Identify the time interval between the band distortion points in the current waveform: starting from the initial point of the current waveform, confirm the first group of band distortion points, and confirm the time interval between the first group of band distortion points and the second group of band distortion points, and then confirm the time interval between the subsequent consecutive band distortion points;

[0024] The confirmed groups of time intervals are processed for variance 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, wherein Y3 is a preset value.

[0025] Preferably, the charging data includes battery charge 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 prior art, it has the following beneficial effects:

[0028] The present invention extracts charging waveforms from the cloud library, performs preliminary classification and band analysis on charging waveforms in different power ranges, and can accurately confirm 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 abnormal judgment, making the analysis more targeted and scientific;

[0029] The charging pile monitoring center monitors charging data in real time, and the band analysis and processing end can quickly and accurately assess whether the charging pile is abnormal or faulty by comparing it with the preset band characteristics. Compared with a single determination method, this method based on multi-dimensional feature comparison is more comprehensive, effectively guarantees the accuracy of abnormal charging pile determination, greatly improves the reliability of charging pile status monitoring, and promptly discovers and handles potential problems, reducing the inconvenience and operational losses caused by charging pile failures.

[0030] For calibrated abnormal charging piles, the cause of the abnormality can be accurately identified based on current data and waveform analysis. By locking the band distortion point and analysis time interval of the current waveform, it is effectively determined whether it is affected by harmonics, and through the signal end display, it provides clear fault information for operation and maintenance personnel, facilitating them to quickly take targeted measures, improve fault detection and repair efficiency, and reduce operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It 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 be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] 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 terminal, a waveform feature classification storage terminal, a band analysis and processing terminal, an abnormal charging pile analysis terminal, a charging pile monitoring center and a signal terminal;

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

[0037] Among them, 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 charging waveforms of different power ranges, and then performs band analysis on the multiple groups of charging waveforms initially classified to confirm the band characteristics of the corresponding power range. Specifically, the band characteristics include the ratio characteristics of the charging waveform band and the numerical characteristics of the power. The charging waveform band includes a constant current charging band, a constant voltage charging band and a 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%, wherein the interval format of 0%-5% is (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 waveform sets 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 confirms the value change trend of adjacent points in sequence from the initial point of the waveform, and converts several groups of value change trends Q confirmed by the corresponding waveform into k Sort and confirm Q k sequence;

[0041] Q k Sequence to confirm the trend, select different bands: identify adjacent Q in the sequence k The change difference between the two is Q q -Q q-1 , where q∈k, and q≥2, when the change difference is ≤Y1, the turning point between the bands before and after the change difference is calibrated as the first group of turning points, otherwise no calibration is performed; when the change difference is ≥Y2, the turning point between the bands before and after the change difference is 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 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 confirm the band ratio column. For example, if the line lengths of the constant current charging band, the constant voltage charging band and the trickle charging band are 15, 20 and 25 respectively, then after the ratio processing, the confirmed band ratio column is 3:4:5;

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

[0044] The confirmed groups of band ratio columns are scored, and the ratios associated with the constant current charging bands are adjusted to the same ratio. During the ratio adjustment process, the corresponding band ratio columns are adjusted accordingly. The scores associated with the corresponding band ratio columns are confirmed, and the score = constant current charging band ratio ÷ constant voltage charging band ratio ÷ trickle charging band ratio. The minimum and maximum scores confirmed by the groups of band ratio columns are then confirmed 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 adopted 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 characteristics of this power range, and are stored through the band characteristic classification storage end.

[0046] Second embodiment

[0047] The above embodiments are for specific determination of relevant standards, and this embodiment is mainly aimed at 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 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, prioritizes the power range associated with this charging data, and then performs band confirmation on the charging waveform generated by this charging data, compares the confirmed band with the band characteristics associated with the corresponding power range, and assesses 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 a 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, and 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 The score range marks this charging pile 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 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;

[0053] Specifically, based on the numerical characteristic standards confirmed in the past historical stages, the charging data generated in 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 guarantee 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, wherein 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, 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, calibrate the band distortion points in turn. If not, directly generate a voltage fluctuation signal through the signal end for display;

[0056] Identify the time interval between the band distortion points in the current waveform: starting from the initial point of the current waveform, confirm the first group of band distortion points, and confirm the time interval between the first group of band distortion points and the second group of band distortion points, and then confirm the time interval between the subsequent consecutive band distortion points;

[0057] The variance of the confirmed time intervals is processed to confirm the time variance. If the time variance is less than Y3 (which means that the discrete degree of the time interval is very small, that is, the distorted points appear regularly), a harmonic influence signal is generated and displayed through the signal terminal, where 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 there is harmonic influence, there will be corresponding change distortion points in the current waveform, and the change distortion points appear regularly. By locking the change distortion points and analyzing the time interval, it is possible to evaluate 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 numerically calculated by removing their dimensions. 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 rather than to limit it. 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 in that: include: The charging waveform analysis end extracts the charging waveforms associated with the 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 initially classified to confirm the band characteristics of the corresponding power range; 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 processing end or the abnormal charging pile analysis end; The band analysis and processing end performs preliminary processing on the monitored charging data, prioritizes the power range associated with this charging data, and then performs band confirmation on the charging waveform generated by this charging data, compares the confirmed band with the band characteristics associated with the corresponding power range, and assesses 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 of a charging station according to claim 1, characterized in that: The charging waveform analysis end determines the characteristics of the corresponding power range band in a specific manner as follows: Based on a preset power range, confirming a plurality of charging waveforms associated with the corresponding power range, and marking the confirmed plurality of charging waveforms 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 confirms the value change trend of adjacent points in turn according to the initial point of the waveform, and converts several groups of value change trends Q confirmed by the corresponding waveform into k Sort and confirm Q k sequence; Q k Sequence to confirm the trend, select different bands: identify adjacent Q in the sequence k The change difference between the two is Q q -Q q-1 , where q∈k, and q≥2, when the change difference is ≤Y1, the turning point between the bands before and after the change difference is calibrated as the first group of turning points, otherwise no calibration is performed; when the change difference is ≥Y2, the turning point between the bands before and after the change difference is 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 confirm the band ratio column; The other waveforms in the waveform set to be analyzed are processed in the same way, the band ratio column associated with the corresponding waveform is confirmed, and then the minimum charging power and the maximum charging power associated with several constant current charging bands are confirmed, and the power range belonging to this constant current charging band is locked. The power range of the constant voltage charging band and the trickle charging band is confirmed in the same way; The confirmed groups of band ratio columns are scored, and the ratios associated with the constant current charging bands are adjusted to the same ratio. During the ratio adjustment process, the corresponding band ratio columns are adjusted accordingly, and the scores associated with the corresponding band ratio columns are confirmed, and the score = constant current charging band ratio ÷ constant voltage charging band ratio ÷ trickle charging band ratio. Then the minimum score and the maximum score confirmed by the groups of band ratio columns are confirmed 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 characteristics of this power range, and are stored through the band characteristic classification storage end.

3. The abnormal charging pile identification and management system of a charging station 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 of a charging station according to claim 1, characterized in that: The specific method of the band analysis 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 a 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, and 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 The score range marks this charging pile as a faulty charging pile.

5. The abnormal charging pile identification and management system of a charging station according to claim 4, characterized in that: The specific method of the band analysis processing end to assess whether the corresponding charging pile is abnormal is: 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 proportion ZB associated with this charging waveform is confirmed, where ZB = substandard band line length ÷ total charging waveform band length. 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 of a charging station according to claim 5, characterized in that: The abnormal charging pile analysis terminal confirms the abnormal cause 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 of a charging station according to claim 6, characterized in that: The abnormal charging pile analysis terminal may further include: Identify the time interval between the band distortion points in the current waveform: starting from the initial point of the current waveform, confirm the first group of band distortion points, and confirm the time interval between the first group of band distortion points and the second group of band distortion points, and then confirm the time interval between the subsequent consecutive band distortion points; The confirmed groups of time intervals are processed for variance 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, wherein Y3 is a preset value.

8. The abnormal charging pile identification and management system for a charging station 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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