Distributed high-voltage cable fault warning and positioning system

Abstract

The present invention discloses a distributed high-voltage cable fault early warning and positioning system, which relates to the field of cable fault monitoring technology and solves the problem of not using different assessment standards for different cables for relevant assessment. The present invention accurately assesses whether the cable has short circuit, open circuit or abnormal current fluctuation based on real-time monitored current data and determined current characteristics. By setting a specific monitoring time, the current data is continuously tracked and carefully analyzed. For example, the current change trend is judged by the assignment sequence, and the corresponding signal can be issued in a timely and accurate manner, which buys valuable time for operation and maintenance personnel to quickly take countermeasures, effectively ensures the safe and stable operation of the high-voltage cable, and greatly reduces the risk of power outages and economic losses caused by cable faults.

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 a key component 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 with high conductivity. Copper has good conductivity and mechanical strength, while aluminum is relatively low in cost and lightweight. 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, reducing resistance loss and heat generation.

[0003] Application 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; the data is then transferred to a data signal processing module for analysis and processing, and the partial discharge parameters and discharge spectrum information are calculated. The data is remotely transmitted to the data analysis module via a 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 to improve the accuracy and sensitivity of cable partial discharge monitoring, and can also realize the positioning and identification of the cable partial discharge fault point. The present invention can use external power frequency signals or internal power frequency signals according to the site conditions to phase match the collected partial discharge, thereby improving the accuracy of partial discharge pattern recognition.

[0004] During the fault monitoring and early warning process of its distributed high-voltage cables, fault determination is generally based on the relevant operating parameters of the corresponding high-voltage cables. However, the original fault determination 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 relevant assessments for different cables. Summary of the Invention

[0005] In view of the shortcomings of the existing technology, 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 for relevant assessment.

[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 and processing on the monitored high-voltage cable. It 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 correlation threshold to assess whether the corresponding reflection point is an abnormal node: the relevant temperature W associated with the corresponding reflection point is i Check with the associated threshold Yz, where Yz is a preset value. If W 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 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 assessment terminal. The specific method is as follows:

[0016] Based on the calibrated abnormal node, the cable to which the abnormal node belongs is confirmed and recorded as the calibration cable. Then, the historical data associated with the calibration cable is confirmed. From the confirmed historical data, the current data of a time period is selected. With the current moment as the reference moment, a set of time periods is confirmed. The end moment of this time period is the reference moment, and the time period is a preset period.

[0017] Execute the first stage of data selection: starting from the current data associated with the first moment of the time period, select the current data in sequence for variance processing, confirm the associated variance F, if F < Y2, where Y2 is a preset value, continue to select 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 the first stage above, a plurality 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;

[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 is used as the selected data column, and based on the maximum and minimum current data values ​​of the selected data column, a set of current data intervals is generated, and the generated current data intervals are used as the current characteristics of the corresponding cable;

[0021] The trend analysis and assessment end confirms the real-time current data of the corresponding cable based on the current characteristics confirmed by the corresponding cable. Based on the specific performance of the current data, it assesses whether the cable has a short circuit or a break, and displays the signal through the signal end based on the assessment results. 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 compared 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 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 the identification and confirmation.

[0024] Based on the confirmed assignment sequence, identify the numerical proportion ZB1 of assignment 1, where ZB1 = the total number of assignments 1 ÷ the 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, and a suspected short-circuit signal is directly generated through the signal terminal and displayed;

[0026] If ZB1 < 90%, then the percentage of values ​​assigned a value of -1 is ZB -1 , if the value accounts for ZB -1 Meet: ZB -1 If the value is ≥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 the value 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 fluctuating and there is an abnormal fluctuation. In this case, a current fluctuation abnormality signal is directly generated through the signal terminal for display to external personnel.

[0029] The present invention provides a distributed high-voltage cable fault warning and positioning system. Compared with the existing technology, it has the following advantages:

[0030] The present invention uses unique optical pulse monitoring technology to accurately locate the location and temperature of the reflection point of the high-voltage cable. By using optical pulse electrical test signals and scattered light data, combined with precise calculation methods, such as accurately calculating the distance to the reflection point based on time difference and preset speed parameters, the error can be controlled to an extremely small range, achieving detailed monitoring of the entire cable line. This allows potential fault hazards such as localized cable overheating 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 carefully set correlation thresholds 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 the 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 signature confirmation terminal analyzes the historical data of the cables associated with the identified abnormal nodes. Through a complex and rigorous calculation process, including multi-stage data selection and variance processing, and precise calculation of the characteristics of different current data columns, it ultimately determines the precise current signature range. This process can effectively determine whether the cable associated with the abnormal node has a fault problem, providing a key basis for comprehensively evaluating the cable's operating status.

[0033] The trend analysis and assessment terminal accurately assesses whether the cable has short circuits, open circuits, or abnormal current fluctuations based on real-time monitored current data and determined current characteristics. By setting a specific monitoring time, 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 valuable 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 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.

[0036] See also Figure 1, this 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] The optical pulse data processing terminal, the node temperature evaluation terminal, the current characteristic confirmation terminal, and the trend analysis and evaluation terminal are electrically connected from the output node to the input node in sequence, and the trend analysis and evaluation terminal is electrically connected to the signal terminal input node.

[0038] The optical pulse data processing end performs optical pulse monitoring and processing on the monitored high-voltage cable. It 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 related 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, it can sense the temperature, strain and other physical quantities around the cable. It can be laid along the entire cable to achieve distributed monitoring of the entire cable line, and can promptly detect 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 corresponding reception time of the 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 and is 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 it back, so it is necessary to divide it 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 the relevant operator 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 the 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 generally conducted once at a certain interval, and the certain period is generally 2 hours or longer, which is specifically formulated by the personnel.

[0044] The node temperature assessment end compares the temperature associated with the corresponding reflection point during the optical pulse monitoring process with the set correlation threshold to determine whether the corresponding reflection point is an abnormal node. The specific method for the assessment is as follows:

[0045] The relevant temperature W associated with the corresponding reflection point i Verify with the associated threshold Yz, where Yz is a preset value, which is determined by the 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 correlation threshold Yz has different values ​​for different high-voltage cables. For cross-linked polyethylene insulated cables, it is 90° C., and for oil-paper insulated cables, it is 75° C.

[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. Based on the current characteristic performance monitored by the corresponding current sensor, the current characteristic range associated with the cable is determined. The specific method of confirming the current characteristic is:

[0048] Based on the calibrated abnormal node, the cable to which the abnormal node belongs is confirmed and recorded as the calibration cable. Then, the historical data associated with the calibration cable is confirmed. From the confirmed historical data, the current data of a time period is selected. With the current moment as the reference moment, a set of time periods is confirmed. The end moment of this time period is the reference moment. The time period is a preset period, which is prepared in advance by relevant personnel.

[0049] Execute the first stage of data selection: starting from the current data associated with the first moment of the time period, select the current data in sequence for variance processing, confirm the associated variance F, if F < Y2, where Y2 is a preset value, continue to select 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 above, a plurality 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 is used as the selected data column, and based on the maximum and minimum current data values ​​of the selected data column, a set of current data intervals is generated, and the generated current data intervals are used 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 cable is comprehensively evaluated to determine whether the corresponding cable has related abnormalities.

[0054] The trend analysis and assessment end confirms the real-time current data of the corresponding cable based on the current characteristics confirmed by the corresponding cable. Based on the specific performance of the current data, it assesses whether the cable has a short circuit or a break, and displays the signal through the signal end based on the assessment result. The specific method of assessment is as follows:

[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 compared 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 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 the identification and confirmation.

[0057] Based on the confirmed assignment sequence, identify the numerical proportion ZB1 of assignment 1, where ZB1 = the total number of assignments 1 ÷ the 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. 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 terminal and displayed.

[0059] If ZB1 < 90%, then the percentage of values ​​assigned a value of -1 is ZB -1 , if the value accounts for ZB -1 Meet: ZB -1 If the value is ≥90%, it means that the current data at different subsequent moments is decreasing in real time. The cable to which it belongs may be broken, and a suspected broken signal will be directly generated through the signal terminal 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 is a new situation in the current data associated with the subsequent corresponding time period. There may be a new related power node, which leads to an increase in the current in the cable. No processing is required. If ZB0<70%, it means that the current data currently monitored is too volatile and there is an abnormal fluctuation. In this case, a current fluctuation abnormality signal is directly generated through the signal terminal for display for external personnel to view.

[0061] Based on real-time current data and identified current characteristics, the system accurately assesses whether the cable has short circuits, breaks, or abnormal current fluctuations. By setting a specific monitoring duration, the system continuously tracks and meticulously analyzes current data. For example, by assigning a sequence to determine current trends, the system can issue timely and accurate signals, buying valuable time for maintenance personnel to quickly implement countermeasures. This effectively ensures the safe and stable operation of high-voltage cables and significantly reduces 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 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. Distributed high-voltage cable fault warning and positioning system, characterized by: include: The optical pulse data processing end performs optical pulse monitoring and processing on the monitored high-voltage cable. It 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 compares the temperature associated with the corresponding reflection point during the optical pulse monitoring process with the set correlation threshold to assess whether the corresponding reflection point is an abnormal node; The current characteristic confirmation terminal analyzes the 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 assessment terminal. The specific method is as follows: Based on the calibrated abnormal node, the cable to which the abnormal node belongs is confirmed and recorded as the calibration cable. Then, the historical data associated with the calibration cable is confirmed. From the confirmed historical data, the current data of a time period is selected. With the current moment as the reference moment, a set of time periods is confirmed. The end moment of this time period is the reference moment, and the time period is a preset period. Execute the first stage of data selection: starting from the current data associated with the first moment of the time period, select the current data in sequence for variance processing, confirm the associated variance F, if F < Y2, where Y2 is a preset value, continue to select 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 the first stage above, a plurality 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; 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 used as the selected data column, and based on the maximum and minimum current data values ​​of the selected data column, a set of current data intervals is generated, and the generated current data intervals are used as the current characteristics of the corresponding cable; 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. Based on the specific performance of the current data, it evaluates whether the cable has a short circuit or a break, and displays the signal through the signal end based on the evaluation result.

2. The distributed high-voltage cable fault warning and positioning system according to claim 1 is characterized in that: The optical pulse data processing end locks the position of the corresponding reflection point in the following specific manner: 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 warning and positioning system according to claim 2 is characterized in that: The optical pulse data processing end locks the corresponding temperature corresponding to the corresponding reflection point in a specific manner: 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 warning and positioning system according to claim 1, characterized in that: The node temperature assessment end assesses whether its corresponding reflection point is an abnormal node in the following specific manner: The relevant temperature W associated with the corresponding reflection point i Check with the associated threshold Yz, where Yz is a preset value. If W 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 warning and positioning system according to claim 1 is characterized in that: The trend analysis and assessment end assesses whether the cable is short-circuited or open-circuited in the following specific ways: 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, the monitoring is continued 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 sudden change 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 the identification and confirmation. Based on the confirmed assignment sequence, identify the numerical proportion ZB1 of assignment 1, where ZB1 = the total number of assignments 1 ÷ the 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, and a suspected short-circuit signal is directly generated through the signal terminal and displayed; If ZB1 < 90%, then the percentage of values ​​assigned a value of -1 is ZB -1 , if the value accounts for ZB -1 Meet: ZB -1 If the value is ≥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.

6. The distributed high-voltage cable fault warning and positioning system according to claim 5, characterized in that: If ZB -1 <90%, then identify the value proportion ZB0 of the assignment 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.

7. The distributed high-voltage cable fault warning and positioning system according to claim 6, characterized in that: If ZB0 is less than 70%, it means that the current data currently monitored is too fluctuating and there is an abnormal fluctuation. In this case, a current fluctuation abnormality signal is directly generated through the signal terminal for display to external personnel.

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