Distributed high-voltage cable fault early warning and positioning system

Through optical pulse monitoring technology and current characteristic analysis, the problem of inaccurate fault positioning in distributed high-voltage cable fault monitoring is solved, and accurate monitoring and fault evaluation of high-voltage cables are realized, which improves fault identification efficiency and reduces the risk of power outage.

CN119902021AActive Publication Date: 2025-04-29NANJING DAHE POWER TECH CO LTD
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Patent Information

Application Number
CN202510081655.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-20
Publication Date
2025-04-29
Estimated Expiration
2045-01-20

AI Technical Summary

Technical Problem

The prior art cannot quickly locate the specified fault point in distributed high-voltage cable fault monitoring, and there is a lack of evaluation standards for different cables, resulting in inaccurate fault determination.

Method used

Optical pulse monitoring technology is adopted to accurately lock the position and temperature of the reflection point of the high-voltage cable by sending optical pulse electrical test signals and analyzing scattered light data, and combine current characteristic analysis and trend assessment to achieve rapid positioning and evaluation of faults.

Benefits of technology

Accurate monitoring and fault positioning of high-voltage cables are achieved, fault identification efficiency is improved, the possibility of misjudgment and misjudgment is reduced, the safe and stable operation of the cable is ensured, and the risk of power outages and economic losses caused by faults is reduced.

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Abstract

The invention discloses a distributed high-voltage cable fault early warning and positioning system, relates to the technical field of cable fault monitoring, solves the problem that different evaluation standards are not adopted for carrying out related evaluation aiming at different cables, and provides a distributed high-voltage cable fault early warning and positioning system based on current data monitored in real time and determined current characteristics. Whether the cable is short-circuited, open-circuit or abnormal current fluctuation and the like is accurately evaluated, and corresponding signals can be timely and accurately sent out by setting specific monitoring time and continuously tracking and carefully analyzing current data, such as judging the current change trend through an assignment sequence. Precious time is won for operation and maintenance personnel to quickly take countermeasures, safe and stable operation of the high-voltage cable is effectively guaranteed, and power failure risks and economic losses caused by cable faults are greatly reduced.
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Description

Technical Field

[0001] The present invention relates to the technical field of cable fault monitoring, and in particular to a distributed high-voltage cable fault early warning and positioning system. Background Art

[0002] Distributed high-voltage cables are key components of modern power transmission systems and play an important role in urban power grids, industrial power transmission and large-scale energy transmission projects. They are generally made of copper or aluminum materials with high conductivity. Copper has good conductivity and mechanical strength, while aluminum is relatively low in cost and light in weight. The cross-sectional shape and size of the conductor are designed according to the rated current and voltage level of the cable to ensure that it can withstand the corresponding current load when transmitting electrical energy and reduce resistance loss and heat generation.

[0003] The application with publication number CN106124939A discloses a distributed high-voltage cable partial discharge online monitoring and positioning system, including a signal preprocessing module that filters and amplifies the sensor coupling signal; a partial discharge acquisition module that collects, displays and stores the signal processed by the signal preprocessing module; then the data is transferred to the data signal processing module for analysis and processing, and the parameters and discharge spectrum information of the partial discharge are calculated, and the data is remotely transmitted to the data analysis module through the communication module. The power supply module provides the required voltage for the above functions; the invention adopts a high sampling rate and a high pulse capture repetition rate, which can improve the accuracy and sensitivity of cable partial discharge monitoring, and at the same time can realize the positioning and identification of the partial discharge fault point of the cable; the present invention can adopt an external power frequency signal or an internal power frequency signal according to the site conditions, and phase match the collected partial discharge, thereby improving the accuracy of partial discharge pattern recognition.

[0004] In the process of fault monitoring and early warning of distributed high-voltage cables, fault judgment is generally based on the relevant operating parameters of the corresponding high-voltage cables. However, the original fault judgment method has a wide range and cannot quickly locate the specified fault point. Instead, it determines that there is a fault problem in the entire cable. The original fault assessment and analysis method needs to be improved. The numerical characteristics associated with different cables are different, so different assessment standards need to be used for different cables for relevant assessment. Summary of the invention

[0005] In view of the deficiencies of the prior art, the present invention provides a distributed high-voltage cable fault warning and positioning system, which solves the problem of not using different assessment standards for different cables to perform relevant assessments.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a distributed high-voltage cable fault warning and positioning system, comprising:

[0007] The optical pulse data processing end performs optical pulse monitoring processing on the monitored high-voltage cable, sends an optical pulse electrical test signal from the source of the high-voltage cable, and locks the position of the corresponding reflection point and the relevant temperature of the reflection point based on the scattered light data generated by the optical pulse electrical test signal;

[0008] The specific method of locking the corresponding reflection point position is:

[0009] Determine the emission time of the optical pulse electrical test signal and the reception time of the corresponding scattered light to confirm the time difference T i , where i represents different reflection points;

[0010] Use: (T i ×Vs)÷2=L i Confirm the distance length L associated with the corresponding reflection point i , where Vs is the preset speed parameter based on the source of the high voltage cable and the confirmed distance length L i , lock the specific position of the reflection point in the high-voltage cable and record it;

[0011] The specific method of locking the corresponding temperature of the corresponding reflection point is:

[0012] From the generated reflected light data, confirm the anti-Stokes Raman scattered light intensity I as and the Stokes Raman scattered light intensity I s, and determine the constant A associated with the material characteristics of the high-voltage cable, where A is a preset value;

[0013] use: Confirm the relevant temperature W associated with the corresponding reflection point, where C1 and C2 are preset correction coefficients, and calibrate the different relevant temperatures associated with different reflection points as W i ;

[0014] The node temperature assessment end, based on the relevant temperature associated with the corresponding reflection point during the optical pulse monitoring process, checks the relevant temperature with the set associated threshold to assess whether the corresponding reflection point is an abnormal node: the relevant temperature W associated with the corresponding reflection point is i Verify with the associated threshold Yz, where Yz is a preset value. i ≤Yz, no processing is performed. If W i >Yz, the corresponding reflection point is marked as an abnormal node;

[0015] The current characteristic confirmation terminal analyzes the relevant historical data of the cable to which the abnormal node belongs based on the abnormal node marked by the high-voltage cable, confirms the current characteristics of the corresponding cable, and transmits the confirmed current characteristics of the cable to the trend analysis and evaluation terminal. The specific method is as follows:

[0016] Based on the calibrated abnormal node, confirm that the cable to which the abnormal node belongs is recorded as the calibration cable, and then confirm the historical data associated with the calibration cable. From the confirmed historical data, select the current data of a time period, take the current moment as the reference moment, confirm a group of time periods, the end moment of this time period is the reference moment, and the time period is a preset period;

[0017] Execute the data selection of the first stage: starting from the current data associated with the first moment of the time period, select the current data in turn for variance processing, confirm the associated variance F, if F<Y2, where Y2 is a preset value, continue to select the current data, if F≥Y2, stop selecting, and use the current data selected this time as the initial data associated with the second stage, that is, the data selected when F≥Y2 is not used as the current data selected in the first stage, and the current data selected in this stage is calibrated as the first current data column;

[0018] Using the same processing method as in the first stage, a plurality of sets of current data columns are identified from the different current data associated with the time period, wherein the current data columns include a single set of data;

[0019] Confirm the data characteristics of different current data columns: mark the number of current data in the corresponding current data column as G k , where k represents different current data columns, and then confirm the maximum and minimum values ​​of the current data in the corresponding current data column, and confirm the current difference CZ based on the maximum and minimum values k , using: CZ k ÷G k =T k Confirm the data characteristics T of the corresponding current data column k ;

[0020] Different data features T identified from different current data columns k In the k min as the selected data column, and based on the maximum and minimum values ​​of the current data in the selected data column, generate a set of current data intervals, and use the generated current data intervals as the current characteristics of the corresponding cable;

[0021] The trend analysis and evaluation end confirms the real-time current data of the corresponding cable based on the current characteristics confirmed by the corresponding cable, and based on the specific performance of the current data, evaluates whether the cable has a short circuit or a break, and displays the signal through the signal end based on the evaluation result. The specific method is as follows:

[0022] Determine the cable to which the abnormal node belongs, and monitor the current data of the cable in real time. The specific monitoring time is 5 minutes. The real-time monitored current data is calibrated as DL. The real-time monitored DL is checked with the current characteristics of the cable to which it belongs: if DL∈current data interval, the monitoring is continued until the specific monitoring time ends. If Then the current moment is recorded as the mutation moment;

[0023] Process the current data associated with the mutation moment and subsequent different moments: identify whether the current data at the subsequent moment is greater than the previous set of current data. If so, generate a value of "1", if equal, generate a value of "0", if less, generate a value of "-1", and confirm the assignment sequence based on the results of sequential identification and confirmation;

[0024] Based on the confirmed assignment sequence, identify the numerical proportion ZB1 of assignment 1, where ZB1 = total number of assignments 1 ÷ total number of assignments in the assignment sequence. If the numerical proportion ZB1 satisfies:

[0025] If ZB1≥90%, it means that the current data at different subsequent moments is in a real-time rising state, then a suspected short-circuit signal is directly generated through the signal terminal, and the generated suspected short-circuit signal is displayed;

[0026] If ZB1 < 90%, the percentage of values ​​assigned a value of -1 is ZB -1 , if the value accounts for ZB -1 Meet: ZB -1 ≥90%, it means that the current data at different subsequent moments is in a real-time decreasing state, and a suspected circuit breaker signal is directly generated through the signal terminal for display;

[0027] If ZB -1 <90%, then identify the value proportion ZB0 of 0. If the value proportion ZB0 satisfies: ZB0 ≥ 70%, it means that there is a new situation in the current data associated with the subsequent corresponding time period, and no processing is required;

[0028] If ZB0 is less than 70%, it means that the current data currently monitored is too volatile and there is an abnormal fluctuation. Then, a current fluctuation abnormality signal is directly generated through the signal terminal for display to be viewed by external personnel.

[0029] The present invention provides a distributed high-voltage cable fault early warning and positioning system. Compared with the prior art, it has the following beneficial effects:

[0030] The present invention uses a unique optical pulse monitoring technology to accurately lock the position and temperature of the reflection point of the high-voltage cable. With the help of optical pulse electrical test signals and scattered light data, combined with accurate calculation methods, such as accurately calculating the distance of the reflection point based on the time difference and preset speed parameters, the error can be controlled within a very small range, and detailed monitoring of the entire cable line can be achieved. This allows potential fault hazards such as local overheating of the cable to be discovered in a timely manner, providing a strong guarantee for taking maintenance measures in advance and avoiding faults.

[0031] The node temperature assessment terminal can quickly and accurately compare the reflection point temperature with the carefully set correlation threshold for different types of high-voltage cables. Whether it is a cross-linked polyethylene insulated cable or an oil-paper insulated cable, it can accurately determine whether its reflection point is an abnormal node. This efficient assessment method greatly improves the efficiency of identifying abnormal situations and reduces the possibility of misjudgment and missed judgment.

[0032] The current feature confirmation terminal analyzes the historical data of the cables to which the abnormal nodes are calibrated. Through a complex and rigorous calculation process, such as multi-stage data selection and variance processing, and accurate calculation of the characteristics of different current data columns, it finally determines the precise current feature interval. This process can effectively determine whether the cables associated with the abnormal nodes have fault problems, providing a key basis for comprehensive evaluation of the cable operation status.

[0033] The trend analysis and assessment end accurately assesses whether the cable has short circuits, breaks, or abnormal current fluctuations based on real-time monitored current data and determined current characteristics. By setting a specific monitoring duration, the current data is continuously tracked and carefully analyzed. For example, by judging the current change trend through the assignment sequence, the corresponding signal can be issued in a timely and accurate manner, buying precious time for operation and maintenance personnel to quickly take countermeasures, effectively ensuring the safe and stable operation of high-voltage cables, and greatly reducing the risk of power outages and economic losses caused by cable failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the principle framework of the present invention. DETAILED DESCRIPTION

[0035] 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.

[0036] See also Figure 1, the present application provides a distributed high-voltage cable fault warning and positioning system, including an optical pulse data processing terminal, a node temperature assessment terminal, a current characteristic confirmation terminal, a trend analysis and assessment terminal, and a signal terminal;

[0037] Among them, the optical pulse data processing end, the node temperature assessment end, the current characteristic confirmation end, and the trend analysis assessment end are electrically connected from the output node to the input node in sequence, and the trend analysis assessment end is electrically connected to the signal end input node;

[0038] Among them, the optical pulse data processing end performs optical pulse monitoring and processing on the monitored high-voltage cable, sends optical pulse electrical test signals from the source of the high-voltage cable, and locks the position of the corresponding reflection point and the relevant temperature of the reflection point based on the scattered light data generated by the optical pulse electrical test signal. By monitoring the changes in the optical signal in the optical fiber, the temperature, strain and other physical quantities around the cable are sensed; it can be laid along the entire cable to realize distributed monitoring of the entire cable line, and can promptly discover potential fault hazards such as local overheating of the cable. The specific method of locking the corresponding reflection point position is:

[0039] Determine the emission time of the optical pulse electrical test signal and the reception time of the corresponding scattered light, and confirm the time difference T i , where i represents different reflection points;

[0040] Use: (T i ×Vs)÷2=L i Confirm the distance length L associated with the corresponding reflection point i , where Vs is the preset speed parameter, which is prepared in advance by the relevant operators, generally two-thirds of the speed of light, based on the source of the high-voltage cable and the confirmed distance length L i , lock the specific position of the reflection point in the high-voltage cable and record it (because the signal is in a reflection state, that is, it will walk twice to follow up, so it needs to be divided by 2 to confirm the corresponding relevant distance);

[0041] The specific method of locking the corresponding temperature of the corresponding reflection point is:

[0042] From the generated reflected light data, confirm the anti-Stokes Raman scattered light intensity I as and the Stokes Raman scattered light intensity I s, and determine the constant A associated with the material characteristics of this high-voltage cable, where A is a preset value, which is prepared in advance by relevant operators based on experience;

[0043] use: Confirm the relevant temperature W associated with the corresponding reflection point, where C1 and C2 are preset correction coefficients, which are prepared in advance by relevant operators based on experience, and the different relevant temperatures associated with different reflection points are calibrated as W iIn the actual testing process, the test is usually conducted once at a certain interval, and the certain period is usually 2 hours or longer, which is specifically formulated by the personnel.

[0044] The node temperature assessment end checks the relevant temperature with the set relevant threshold value based on the relevant temperature associated with the corresponding reflection point in the optical pulse monitoring process, and assesses whether the corresponding reflection point belongs to an abnormal node. The specific method of assessment is as follows:

[0045] The relevant temperature W associated with the corresponding reflection point i Check with the associated threshold Yz, where Yz is a preset value, which is set by relevant operators based on experience. i ≤Yz, no processing is performed. If W i >Yz, the corresponding reflection point is marked as an abnormal node;

[0046] Specifically, the set associated threshold Yz has different values ​​for different high-voltage cables, 90° C. for cross-linked polyethylene insulated cables and 75° C. for oil-paper insulated cables.

[0047] Among them, the current characteristic confirmation end analyzes the relevant historical data of the cable to which the abnormal node belongs based on the abnormal node marked by the high-voltage cable, confirms the current characteristics of the corresponding cable, and transmits the confirmed current characteristics of the cable to the trend analysis and evaluation end. Specifically, at the end point of each cable section, an associated current sensor is set, and the current characteristic interval associated with the cable is determined based on the current characteristic performance monitored by the corresponding current sensor. The specific method of confirming the current characteristics is:

[0048] Based on the calibrated abnormal node, confirm that the cable to which the abnormal node belongs is recorded as the calibration cable, and then confirm the historical data associated with the calibration cable. From the confirmed historical data, select the current data of a time period, take the current moment as the reference moment, confirm a group of time periods, the end moment of this time period is the reference moment, and the time period is a preset period, which is prepared in advance by relevant personnel;

[0049] Execute the data selection of the first stage: starting from the current data associated with the first moment of the time period, select the current data in turn for variance processing, confirm the associated variance F, if F<Y2, where Y2 is a preset value, continue to select the current data, if F≥Y2, stop selecting, and use the current data selected this time as the initial data associated with the second stage, that is, the data selected when F≥Y2 is not used as the current data selected in the first stage, and the current data selected in this stage is calibrated as the first current data column;

[0050] Using the same processing method as in the first stage, a plurality of groups of current data columns are identified from the different current data associated with the time period, wherein the current data columns include a single group of data (i.e., the corresponding data column may only have one group of data);

[0051] Confirm the data characteristics of different current data columns: mark the number of current data in the corresponding current data column as G k , where k represents different current data columns, and then confirm the maximum and minimum values ​​of the current data in the corresponding current data column, and confirm the current difference CZ based on the maximum and minimum values k , using: CZ k ÷G k =T k Confirm the data characteristics T of the corresponding current data column k , the smaller the data feature is, the denser the current data included in the corresponding current data column is, and the stronger the feature expression is;

[0052] Different data features T identified from different current data columns k In the k min as the selected data column, and based on the maximum and minimum values ​​of the current data in the selected data column, generate a set of current data intervals, and use the generated current data intervals as the current characteristics of the corresponding cable;

[0053] Specifically, this method can effectively confirm whether the cable associated with the corresponding abnormal node has related fault problems. Based on the specific results of real-time monitoring and the associated current data interval, the abnormal state of the corresponding cable is comprehensively evaluated to determine whether the corresponding cable has related abnormalities.

[0054] Among them, the trend analysis and evaluation end confirms the real-time current data of the corresponding cable based on the current characteristics confirmed by the corresponding cable, and evaluates whether the cable has a short circuit or a break based on the specific performance of the current data, and displays the signal through the signal end based on the evaluation result. The specific way of evaluation is:

[0055] Determine the cable to which the abnormal node belongs, and monitor the current data of the cable in real time. The specific monitoring time is 5 minutes. The real-time monitored current data is calibrated as DL. The real-time monitored DL is checked with the current characteristics of the cable to which it belongs: if DL∈current data interval, the monitoring is continued until the specific monitoring time ends. If Then the current moment is recorded as the mutation moment;

[0056] Process the current data associated with the mutation moment and subsequent different moments: identify whether the current data at the subsequent moment is greater than the previous set of current data. If so, generate a value of "1", if equal, generate a value of "0", if less, generate a value of "-1", and confirm the assignment sequence based on the results of sequential identification and confirmation;

[0057] Based on the confirmed assignment sequence, identify the numerical proportion ZB1 of assignment 1, where ZB1 = total number of assignments 1 ÷ total number of assignments in the assignment sequence. If the numerical proportion ZB1 satisfies:

[0058] If ZB1≥90%, it means that the current data at different subsequent moments is in a real-time rising state, and the cable to which it belongs may have a short circuit. In this case, a suspected short circuit signal is directly generated through the signal end, and the generated suspected short circuit signal is displayed;

[0059] If ZB1 < 90%, the percentage of values ​​assigned a value of -1 is ZB -1 , if the value accounts for ZB -1 Meet: ZB -1 ≥90%, it means that the current data at different subsequent moments is in a real-time decreasing state, and the cable to which it belongs may be broken, so a suspected broken signal is directly generated through the signal end for display;

[0060] If ZB -1 <90%, then identify the value proportion ZB0 of 0. If the numerical value proportion ZB0 satisfies: ZB0≥70%, it means that there are new additions in the current data associated with the corresponding time period, and there may be new related power nodes, resulting in new current in the cable. No processing is required. If ZB0<70%, it means that the current data currently monitored is too volatile and there are abnormal fluctuations. In this case, the abnormal current fluctuation signal is directly generated through the signal terminal for display by external personnel.

[0061] Based on the real-time monitored current data and the determined current characteristics, it can accurately assess whether the cable has short circuit, open circuit or abnormal current fluctuation. By setting a specific monitoring time, the current data can be continuously tracked and carefully analyzed. For example, by judging the current change trend through the assignment sequence, the corresponding signal can be issued in a timely and accurate manner, which can buy precious time for the operation and maintenance personnel to quickly take countermeasures, effectively ensuring the safe and stable operation of the high-voltage cable, and greatly reducing the risk of power outages and economic losses caused by cable failures.

[0062] 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.

[0063] 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. Distributed high-voltage cable fault warning and positioning system, characterized in that: include: The optical pulse data processing end performs optical pulse monitoring processing on the monitored high-voltage cable, sends an optical pulse electrical test signal from the source of the high-voltage cable, and locks the position of the corresponding reflection point and the relevant temperature of the reflection point based on the scattered light data generated by the optical pulse electrical test signal; The node temperature assessment end, based on the relevant temperature associated with the corresponding reflection point during the optical pulse monitoring process, checks the relevant temperature with the set associated threshold to assess whether the corresponding reflection point is an abnormal node; The current characteristic confirmation terminal analyzes the relevant historical data of the cable to which the abnormal node belongs based on the abnormal node marked by the high-voltage cable, confirms the current characteristics of the corresponding cable, and transmits the confirmed current characteristics of the cable to the trend analysis and evaluation terminal; The trend analysis and evaluation end confirms the real-time current data of the corresponding cable based on the current characteristics confirmed by the corresponding cable, and based on the specific performance of the current data, evaluates whether the cable has a short circuit or open circuit, and displays the signal through the signal end based on the evaluation result.

2. The distributed high-voltage cable fault early warning and positioning system according to claim 1 is characterized in that: The specific method of the optical pulse data processing end to lock the position of the corresponding reflection point is: Determine the emission time of the optical pulse electrical test signal and the reception time of the corresponding scattered light to confirm the time difference T i , where i represents different reflection points; Use: (T i ×Vs)÷2=L i Confirm the distance length L associated with the corresponding reflection point i , where Vs is the preset speed parameter based on the source of the high voltage cable and the confirmed distance length L i , lock the specific position of the reflection point in the high-voltage cable and record it.

3. The distributed high-voltage cable fault early warning and positioning system according to claim 2 is characterized in that: The specific method of the optical pulse data processing end to lock the corresponding temperature corresponding to the corresponding reflection point is: From the generated reflected light data, confirm the anti-Stokes Raman scattered light intensity Ias and the Stokes Raman scattered light intensity Is, and determine the constant A associated with the material characteristics of the high-voltage cable, where A is a preset value; use: Confirm the relevant temperature W associated with the corresponding reflection point, where C1 and C2 are preset correction coefficients, and calibrate the different relevant temperatures associated with different reflection points as W i .

4. The distributed high-voltage cable fault early warning and positioning system according to claim 1 is characterized in that: The node temperature assessment end assesses whether the corresponding reflection point is an abnormal node in the following specific manner: The relevant temperature W associated with the corresponding reflection point i Verify with the associated threshold Yz, where Yz is a preset value. i ≤Yz, no processing is performed. If W i >Yz, the corresponding reflection point is marked as an abnormal node.

5. The distributed high-voltage cable fault early warning and positioning system according to claim 1 is characterized in that: The current characteristic confirmation terminal confirms the current characteristic of the corresponding cable in the following specific manner: Based on the calibrated abnormal node, confirm that the cable to which the abnormal node belongs is recorded as the calibration cable, and then confirm the historical data associated with the calibration cable. From the confirmed historical data, select the current data of a time period, take the current moment as the reference moment, confirm a group of time periods, the end moment of this time period is the reference moment, and the time period is a preset period; Execute the data selection of the first stage: starting from the current data associated with the first moment of the time period, select the current data in turn for variance processing, confirm the associated variance F, if F<Y2, where Y2 is a preset value, continue to select the current data, if F≥Y2, stop selecting, and use the current data selected this time as the initial data associated with the second stage, that is, the data selected when F≥Y2 is not used as the current data selected in the first stage, and the current data selected in this stage is calibrated as the first current data column; Using the same processing method as in the first stage, a plurality of sets of current data columns are identified from the different current data associated with the time period, wherein the current data columns include a single set of data; Confirm the data characteristics of different current data columns: mark the number of current data in the corresponding current data column as G k , where k represents different current data columns, and then confirm the maximum and minimum values ​​of the current data in the corresponding current data column, and confirm the current difference CZ based on the maximum and minimum values k , using: CZ k ÷G k =T k Confirm the data characteristics T of the corresponding current data column k ; Different data features T identified from different current data columns k In the k min is taken as the selected data column, and based on the maximum and minimum values ​​of the current data of the selected data column, a set of current data intervals is generated, and the generated current data intervals are taken as the current characteristics of the corresponding cable.

6. The distributed high-voltage cable fault early warning and positioning system according to claim 1 is characterized in that: The specific method for the trend analysis and evaluation end to evaluate whether the cable is short-circuited or open-circuited is as follows: Determine the cable to which the abnormal node belongs, and monitor the current data of the cable in real time. The specific monitoring time is 5 minutes. The real-time monitored current data is calibrated as DL. The real-time monitored DL is compared with the current characteristics of the cable to which it belongs: if DL∈current data interval, continue monitoring until the specific monitoring time ends; if DL If the current data interval is too large, the current moment is recorded as the mutation moment; Process the current data associated with the mutation moment and subsequent moments: identify whether the current data at the subsequent moment is greater than the previous set of current data. If so, generate a value of "1", if equal, generate a value of "0", if less, generate a value of "-1", and confirm the assignment sequence based on the results of sequential identification and confirmation; Based on the confirmed assignment sequence, identify the numerical proportion ZB1 of assignment 1, where ZB1 = total number of assignments 1 ÷ total number of assignments in the assignment sequence. If the numerical proportion ZB1 satisfies: If ZB1≥90%, it means that the current data at different subsequent moments is in a real-time rising state, then a suspected short-circuit signal is directly generated through the signal terminal, and the generated suspected short-circuit signal is displayed; If ZB1 < 90%, the percentage of values ​​assigned a value of -1 is ZB -1 , if the value accounts for ZB -1 Meet: ZB -1 ≥90%, it means that the current data at different subsequent times is in a real-time decreasing state, and a suspected circuit breaker signal is directly generated through the signal end for display.

7. The distributed high-voltage cable fault early warning and positioning system according to claim 6 is characterized in that: If ZB -1 <90%, then identify the value proportion ZB0 of 0. If the value proportion ZB0 satisfies: ZB0≥70%, it means that there is a new situation in the current data associated with the subsequent corresponding time period, and no processing is required.

8. The distributed high-voltage cable fault early warning and positioning system according to claim 7 is characterized in that: If ZB0 is less than 70%, it means that the current data currently monitored is too volatile and there is an abnormal fluctuation. Then, a current fluctuation abnormality signal is directly generated through the signal terminal for display to be viewed by external personnel.

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