Cable quality inspection method and system

Abstract

The invention discloses a cable quality inspection method and system, and the method comprises the steps: dividing a cable into a plurality of monitoring regions at equal intervals, installing a monitoring unit in each monitoring region, arranging a temperature sensor, a vibration sensor and an acoustic emission sensor in each monitoring unit, and obtaining the data of temperature, vibration and acoustic emission signals of the cable; a current sensor is arranged at a cable head position of the cable, and the current sensor acquires current data of the cable; transmitting the obtained data to a processing unit through a transmission unit, and analyzing the data through the processing unit; based on a result obtained by analysis, positioning a monitoring area in which the cable is abnormal; and if no abnormal condition exists in the monitoring area, the monitoring unit continuously acquires data from the cable according to a certain time period. According to the invention, through a method of dividing monitoring areas, analyzing specific factors and comparing threshold values, the reliability of system quality inspection is improved, the dynamic assessment of cable operation risks is realized, the reliability of a cable system is improved, and the service life of the cable system is prolonged.

Description

Technical Field

[0001] The present invention belongs to the technical field of cable detection, and in particular relates to a cable quality inspection method and system. Background Art

[0002] With the continuous improvement of power and communications infrastructure, cables play an irreplaceable role in modern society. The stability and safety of cables are directly related to the smooth operation of power transmission and information exchange, making their inspection and maintenance particularly critical. In recent years, the environments in which cables operate have become increasingly complex, requiring them to withstand not only greater external pressures but also multiple environmental challenges. For example, extreme temperatures can cause drastic fluctuations, humidity fluctuations can cause insulation material aging, and mechanical shock can cause internal structural damage. These factors can weaken cable performance, increase the probability of failure, and pose a threat to the normal operation of power systems and communications networks.

[0003] A cable quality inspection method and system are now provided to perform real-time quality inspection and analysis on the operating status of the cable, thereby promptly discovering potential safety hazards and reducing the probability of failure. Summary of the Invention

[0004] In view of the above-mentioned defects in the prior art, an object of the present invention is to provide a cable quality inspection method and system.

[0005] The technical solution of the present invention: A cable quality inspection method and system, including a monitoring area, a monitoring unit, a transmission unit and a processing unit, characterized in that the method includes: S1: dividing the cable into multiple monitoring areas with equal intervals, and simultaneously collecting data in different intervals of the cable through multiple monitoring areas; S2: installing the monitoring unit in each monitoring area, and the monitoring unit is provided with a temperature sensor, a vibration sensor and an acoustic emission sensor for obtaining data on the temperature, vibration and acoustic emission signals of the cable; a current sensor is provided at the cable head position of the cable, and the current data of the cable is obtained through the current sensor; S3: transmitting the data obtained in S2 to the processing unit through the transmission unit, and then analyzing the data through the processing unit; S4: based on the results obtained by the S3 analysis, locating the monitoring area where the cable has an abnormality; if there is no abnormality in the monitoring area, the monitoring unit is enabled to continuously obtain data from the cable according to a certain time period.

[0006] Furthermore, the temperature sensor, the vibration sensor and the acoustic emission sensor provided in each monitoring area are all located at the same position.

[0007] Furthermore, in S3, the data is analyzed by the processing unit to set a current threshold, a temperature safety upper limit, a vibration threshold and an acoustic emission signal threshold; and the data obtained from S2 is analyzed based on the threshold.

[0008] Furthermore, the data obtained in each monitoring area in S3 is provided with a unique number, so as to facilitate locating the monitoring area where the cable abnormality occurs in S4.

[0009] Furthermore, the current data analysis includes: collecting the cable current data in real time through the current sensor; performing noise reduction processing on the current data using a sliding average method; setting the current threshold according to the cable specifications; performing real-time logical judgment based on the current threshold, and for sudden current changes, setting a current mutation threshold and performing real-time logical judgment.

[0010] Furthermore, the temperature data analysis includes: collecting the cable surface temperature data in real time through the temperature sensor; performing data filtering on the collected temperature data; setting the temperature safety upper limit value according to the cable material, and the temperature safety upper limit value includes a first-level temperature threshold and a second-level temperature threshold value; the first-level temperature threshold value is a warning function, and the second-level temperature threshold value is a serious alarm function; performing real-time logical judgment based on the temperature safety upper limit value, and for abnormal temperature rise rate, setting a temperature change threshold and performing real-time logical judgment.

[0011] Furthermore, the vibration data analysis includes: collecting the cable vibration signal in real time through the vibration sensor; performing noise reduction processing on the vibration signal using a sliding average method; then performing feature value extraction on the vibration signal after noise reduction processing; setting the vibration signal threshold according to the cable; and performing real-time logical judgment based on the vibration signal threshold.

[0012] Furthermore, the acoustic emission signal analysis includes: collecting the acoustic emission signal of the cable in real time through the acoustic emission sensor; filtering and denoising the collected acoustic emission signal; then extracting the characteristic value of the acoustic emission signal after filtering and denoising; setting the acoustic emission signal threshold according to the cable; and performing real-time logical judgment based on the acoustic emission signal threshold.

[0013] A cable quality inspection system, for executing the cable quality inspection method described above, comprises a cable monitoring module, a current monitoring module, a transmission module, a processing module and a terminal; the cable monitoring module comprises a plurality of monitoring units for acquiring data on temperature changes, vibration conditions and acoustic emission signals in the cable; the current monitoring module comprises a current sensor for acquiring current data of the cable; the transmission module comprises a transmission unit for transmitting the data signals acquired by the cable monitoring module and the current monitoring module to the processing module; the processing module comprises a processing unit for analyzing the data in the cable monitoring module and the current monitoring module, and displaying the analysis results on the terminal; the terminal comprises an alarm unit and a positioning unit for recording and monitoring the analysis results obtained by the processing module, and performing alarm and positioning processing on abnormal data.

[0014] Compared with the prior art, the present invention has the following beneficial effects:

[0015] 1) The present invention divides the cable into multiple monitoring areas for simultaneous detection and rationally arranges sensors to ensure clear signals and timely detect minor anomalies. At the same time, different sections are greatly affected by the environment, and the zone monitoring can flexibly set thresholds according to actual conditions to avoid false alarms or missed alarms, thereby improving the reliability of system monitoring.

[0016] 2) The present invention performs cable quality inspection by monitoring current, temperature, vibration, and acoustic emission signals. By monitoring these four factors, a dynamic assessment of cable operation risks can be achieved, thereby improving the reliability and service life of the cable system.

[0017] 3) The present invention sets reasonable thresholds for the characteristic values of current, temperature, vibration, and acoustic emission signals. It only needs to compare the signal characteristics with the thresholds in real time without the need for complex modeling to quickly detect anomalies and trigger early warnings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flow chart of the steps of a cable quality inspection method of the present invention;

[0019] Figure 2 This is a flow chart of the steps of current data analysis in a cable quality inspection method of the present invention;

[0020] Figure 3 This is a flow chart of the steps of temperature data analysis in a cable quality inspection method of the present invention;

[0021] Figure 4 This is a flowchart of the steps of vibration data analysis of a cable quality inspection method of the present invention;

[0022] Figure 5This is a flowchart of the steps of acoustic emission signal analysis in a cable quality inspection method of the present invention;

[0023] Figure 6 It is a structural schematic diagram of a cable quality inspection system of the present invention.

[0024] 10-cable monitoring module, 20-current monitoring module, 30-transmission module, 40-processing module, 50-terminal, 11-monitoring unit, 12-temperature sensor, 13-vibration sensor, 14-acoustic emission sensor, 21-current sensor, 31-transmission unit, 41-processing unit, 51-alarm unit, 52-positioning unit DETAILED DESCRIPTION

[0025] The embodiments of the present invention are described in detail below. The following embodiments are implemented based on the technical solutions of the present invention, and provide detailed implementation methods and specific operating procedures. However, the protection scope of the present invention is not limited to the following embodiments.

[0026] The present invention discloses a cable quality inspection method and system, including a monitoring area, a monitoring unit 11, a transmission unit 31 and a processing unit 41. Figure 1 FIG. 1 shows a flow chart of the steps of a cable quality inspection method according to the present invention, wherein the cable quality inspection method comprises:

[0027] S1: Divide the cable into multiple monitoring zones at equal intervals, and simultaneously collect data from different sections of the cable through the multiple monitoring zones. Dividing the cable into multiple monitoring zones can accurately locate the fault location and improve monitoring sensitivity and accuracy. Since the effective monitoring range of the sensor is limited, monitoring the entire cable alone is prone to problems such as signal attenuation and noise interference. By dividing the cable into sections and arranging the sensors in a reasonable manner, it is possible to ensure clear signals and detect anomalies in a timely manner. At the same time, different sections are greatly affected by the environment. Zone monitoring can flexibly set thresholds based on actual conditions to avoid false alarms or missed alarms, improve the reliability of system monitoring, and facilitate subsequent zone management, maintenance, and repair.

[0028] S2: The monitoring unit 11 is installed in each monitoring area. The monitoring unit 11 is equipped with a temperature sensor 12, a vibration sensor 13, and an acoustic emission sensor 14 for obtaining temperature, vibration, and acoustic emission signal data of the cable. A current sensor 21 is installed at the cable head of the cable to obtain current data of the cable. The temperature sensor 23, the vibration sensor 13, and the acoustic emission sensor 14 installed in each monitoring area are all located at the same position to ensure that the sensors have the same detection range on the cable. The temperature, vibration, acoustic emission signal, and current detection of the cable are mainly used to understand the operating status of the cable, timely detect potential faults, and ensure the safe and stable operation of the cable system. Temperature detection is used to monitor whether the cable has abnormal temperature due to overload, insulation aging, or environmental factors to prevent overheating and burning. Vibration detection is used to identify abnormal vibration caused by external impact to prevent cable damage. Acoustic emission signal detection can capture micro-fission phenomena such as internal insulation cracking and partial discharge in the cable, providing early fault warning. Current detection is used to monitor the load status of the cable and detect abnormal conditions such as short circuit, overload, or poor connection. The incidence of cable failures can be reduced through comprehensive testing of these four aspects.

[0029] S3: The data obtained in S2 is transmitted to the processing unit 41 through the transmission unit 31 , and the processing unit 41 then analyzes the data.

[0030] S4: The data obtained in each monitoring area in S3 is uniquely numbered to facilitate locating the monitoring area where the cable anomaly is detected in S4. Based on the analysis results obtained in S3, the monitoring area where the cable anomaly is detected is located. If no anomalies are detected in the monitoring area, the monitoring unit 11 is instructed to continuously acquire data from the cable for a predetermined period of time. Based on the multiple monitoring areas divided in S1, the monitoring area where the anomaly is detected can be directly located, facilitating subsequent maintenance.

[0031] The overall operation steps of the cable quality inspection method described in S1-S4 above, wherein the data is analyzed by the processing unit 41 in S3, and a current threshold, a temperature safety upper limit, a vibration threshold and an acoustic emission signal threshold are set; and the data obtained from S2 is analyzed based on the threshold.

[0032] like Figure 2 FIG. 1 shows a flow chart of the steps of current data analysis in a cable quality inspection method according to the present invention, wherein the current data analysis includes:

[0033] The cable current data is collected in real time by the current sensor 21;

[0034] The current sensor 21 can be a Hall sensor and a current transformer, and the sampling frequency is set according to the detection accuracy requirement, such as 1Hz-10Hz;

[0035] Using a sliding average method to perform noise reduction on the current data;

[0036] Remove power frequency noise and outliers using the sliding average method:

[0037]

[0038] Where N is the sliding window size, such as the recommended value of 5-10;

[0039] Setting the current threshold according to the cable specifications;

[0040] Set the rated current I according to the cable specifications rated , such as 100A; the normal current fluctuation range is ±δ;

[0041] Set the upper and lower limits of the current threshold according to the set rated current and current fluctuation range:

[0042] I hight =I rated +δ,I low =I rated ―δ

[0043] If I rated If the current is 100A and δ is 10%, the upper and lower limits of the current threshold are 90A-100A;

[0044] Perform real-time logical judgment based on the current threshold. If a sudden current change occurs, set a current sudden change threshold and perform real-time logical judgment.

[0045] If the collected current is greater than the upper current threshold, it is determined to be an overload risk; if the collected current is less than the lower current threshold, it is determined to be a no-load abnormality or short-circuit risk; if the collected current is within the threshold, it is determined to be normal;

[0046] For sudden current changes, calculate the difference between the current and the previous moment:

[0047] ΔI=|I n ―I n―1 |

[0048] Set the current mutation threshold T jump , such as 20A, when ΔI is greater than T jump It is judged as a current mutation risk.

[0049] like Figure 3FIG. 1 shows a flow chart of temperature data analysis steps in a cable quality inspection method according to the present invention. The temperature data analysis includes:

[0050] The cable surface temperature data is collected in real time by the temperature sensor 11;

[0051] The temperature sensor 11 can be a patch temperature sensor or an optical fiber temperature sensor, and the sampling frequency is set according to the detection accuracy and resources, such as 1 Hz-1 time / 10 seconds;

[0052] Performing data filtering processing on the collected temperature data;

[0053] According to the moving average method:

[0054]

[0055] Where N is the sliding window size, such as the recommended value of 3-10, setting a smooth temperature curve to avoid misjudgment;

[0056] The temperature safety upper limit is set according to the cable material. The temperature safety upper limit includes a first-level temperature threshold and a second-level temperature threshold. The first-level temperature threshold is a warning function, and the second-level temperature threshold is a serious alarm function. Real-time logical judgment is performed based on the temperature safety upper limit. For abnormal temperature rise rate, a temperature change threshold is set and real-time logical judgment is performed.

[0057] Set the temperature safety upper limit T according to the cable material max , such as 70℃; if the collected temperature is greater than the temperature safety upper limit, it is determined to be an overheating risk. If 70℃ is set as the secondary temperature threshold T alarm , you can also set the first level temperature threshold T warn For example, if the collected temperature is greater than the first-level temperature threshold, such as 65°C, it is first determined to be a warning temperature. If the temperature continues to rise and exceeds the second-level temperature threshold, it is determined to be a serious alarm temperature.

[0058] To determine the temperature increase rate, calculate the temperature change rate per unit time:

[0059]

[0060] Set the temperature change rate threshold according to the cable material, such as 1.0℃ / min. If the R t When the temperature change rate is greater than the temperature change rate threshold, it is determined that the temperature rise rate is abnormal. Based on the above analysis, it is possible to quickly identify abnormalities such as short-term rapid temperature rise caused by sudden load changes, joint heating, and insulation breakdown precursors.

[0061] like Figure 4FIG. 1 shows a flow chart of the steps of vibration data analysis of a cable quality inspection method according to the present invention, wherein the vibration data analysis includes:

[0062] The vibration sensor 12 is used to collect the cable vibration signal in real time;

[0063] The vibration sensor 12 may be an acceleration sensor or a cable surface-attached vibration sensor, and the original vibration signal is a set of time series acceleration data;

[0064] Using a sliding average method to perform noise reduction on the vibration signal;

[0065] Use a bandpass filter (e.g. 5Hz-1kHz) to remove background low-frequency trends and high-frequency noise, and use the sliding average method to reduce noise:

[0066]

[0067] Then, performing feature value extraction on the vibration signal after noise reduction processing;

[0068] Extract the core characteristic values of vibration anomalies: RSM root mean square value (overall vibration energy), peak value (instantaneous impact), Kurtosis (identification of impact)

[0069] RMS reflects the overall energy of the entire vibration signal and is an important quantitative indicator of vibration intensity:

[0070]

[0071] N is the total number of sampling points, a i is the acceleration value collected at the i-th moment; when the cable is operating normally, the vibration energy is low and the RMS value is stable. When an abnormality occurs, the RMS value will increase significantly;

[0072] The peak value indicates the maximum amplitude in the vibration signal and is used to capture instantaneous impact or severe vibration events. When the cable is subjected to external force, a significant peak acceleration will be generated in a short period of time:

[0073] a peak =max(|a i |), i∈[1, N]

[0074] N is the total number of sampling points, |a i | is the absolute value of the i-th acceleration value. The maximum value of all the absolute values of acceleration is taken to quickly identify sudden abnormal events or shocks.

[0075] Kurtosis measures the degree of spikes or abnormal shocks in the signal distribution and can effectively identify sudden and impactful vibration characteristics:

[0076]

[0077] Where N is the total number of sampling points, is the average value of all acceleration data; normal vibration signals are close to Gaussian distribution, and the kurtosis value is close to 3; when there is an abnormal impact, the kurtosis value is much greater than 3;

[0078] The vibration signal threshold is set according to the cable for the three vibration abnormality core indicator characteristic values, such as a RMS The threshold is 0.02-0.05g, a peak The threshold is less than or equal to 0.2g, K≈3;

[0079] A real-time logical judgment is performed based on the vibration signal threshold. If any one of the three vibration abnormality core indicator characteristic values is greater than or equal to the set threshold, it is determined to be a vibration abnormality.

[0080] like Figure 5 FIG. 1 shows a flowchart of the steps of analyzing acoustic emission signals in a cable quality inspection method according to the present invention, wherein the acoustic emission signal analysis includes:

[0081] The acoustic emission signal of the cable is collected in real time by the acoustic emission sensor 13;

[0082] The acoustic emission sensor uses a broadband acoustic emission sensor (100kHz–1MHz), and the output original signal is a continuous time series;

[0083] Performing filtering and denoising on the collected acoustic emission signal;

[0084] A bandpass filter (20kHz–500kHz) was used to remove background noise and low-frequency interference, and short-time Fourier transform (STFT) was used for time and frequency analysis:

[0085]

[0086] Where x(τ) is the original acoustic emission signal, w(τ-t) is the sliding window function, f is the frequency variable, and t is the time variable; the non-stationary acoustic emission signal is converted to the time-frequency domain to observe the spectrum distribution of the signal energy changing with time; the burst signal is subjected to envelope detection to enhance the recognition rate;

[0087] Then, extracting characteristic values of the acoustic emission signal after filtering and denoising;

[0088] The extracted eigenvalues include peak amplitude, signal energy and calculation rate;

[0089] The peak amplitude is the amplitude of the acoustic emission signal with the largest absolute value in the time domain:

[0090] A peak=max(|x(t)|)

[0091] Where x(t) is the time series acoustic emission signal. The larger the peak value, the more intense the energy release event inside the material, which facilitates rapid judgment of the severity of the anomaly.

[0092] The energy of the acoustic emission signal is the total sum of the squares of the amplitudes of all sampling points:

[0093]

[0094] Where N is the total number of sampling points, x i is the amplitude of the i-th sampling point; high energy means that the energy released by an acoustic emission event is large, which can better distinguish between subtle noise and real fault events;

[0095] The counting rate is the number of times the acoustic emission signal amplitude exceeds the set threshold for the first time within a unit time (such as 1 second). An increase in the counting rate indicates an increase in damage activity inside the material. A threshold level is set, such as 50mV. When the signal amplitude changes from below the threshold to exceeding the threshold, a hit is recorded, and the number of hits per second is counted according to the time sliding window.

[0096] Setting the acoustic emission signal threshold according to the cable;

[0097] The extracted characteristic values including peak amplitude, signal energy and calculation rate are set to threshold values according to the cable, such as peak amplitude A peak Less than 40mV, signal energy E less than 500mV 2 , the counting rate is less than 2 times / second;

[0098] A real-time logical judgment is performed based on the acoustic emission signal threshold. If any one of the above characteristic values is greater than or equal to the set threshold, it is determined that the acoustic emission is abnormal.

[0099] like Figure 6As shown, a structural schematic diagram of a cable quality inspection system of the present invention is shown, a cable quality inspection system, used to execute the cable quality inspection method as described above, including a cable monitoring module 10, a current monitoring module 20, a transmission module 30, a processing module 40 and a terminal 50; the cable monitoring module 10 includes a plurality of monitoring units 11, used to obtain data on temperature changes, vibration conditions and acoustic emission signals in the cable; the current monitoring module 20 includes the current sensor 21, used to obtain current data of the cable; the transmission module 30 includes the transmission unit 31, used to transmit the data signals obtained by the cable monitoring module 10 and the current monitoring module 20 to the processing module 40; the processing module 40 includes the processing unit 41, used to analyze the data in the cable monitoring module 10 and the current monitoring module 20, and display the analysis results on the terminal 50; the terminal 50 includes an alarm unit 51 and a positioning unit 52, used to record and monitor the results analyzed by the processing module, and to alarm and locate abnormal data.

[0100] To sum up, the principle of a cable quality inspection method and system is: through the monitoring unit 11 and the current sensor 21, the data to be analyzed is continuously obtained from the cable divided into multiple monitoring areas. These data include current, temperature, vibration, and acoustic emission signals. The acquired data is transmitted to the processing unit 41 through the transmission unit 31 for threshold analysis and judgment. The judgment results are sent to the terminal 50. For abnormal data, an alarm is issued by the alarm unit 51 and the positioning unit 52 is used for positioning.

[0101] The above describes in detail the preferred embodiments of the present invention. It should be understood that numerous modifications and variations based on the concepts of the present invention are possible by those skilled in the art without inventive effort. Therefore, any technical solution that can be derived by those skilled in the art through logical analysis, reasoning, or limited experimentation based on the concepts of the present invention and the prior art should be within the scope of protection defined by the claims.

Claims

1. A cable quality inspection method, comprising a monitoring area, a monitoring unit, a transmission unit and a processing unit, characterized in that: The method comprises: S1: Divide the cable into a plurality of monitoring areas at equal intervals, and simultaneously collect data in different sections of the cable through the plurality of monitoring areas; S2: Installing the monitoring unit in each monitoring area, wherein the monitoring unit is provided with a temperature sensor, a vibration sensor, and an acoustic emission sensor for acquiring temperature, vibration, and acoustic emission signal data of the cable; and providing a current sensor at the cable head position of the cable for acquiring current data of the cable through the current sensor; S3: transmitting the data obtained in S2 to the processing unit through the transmission unit, and then analyzing the data through the processing unit; S4: Based on the analysis result of S3, the monitoring area where the cable is abnormal is located; if there is no abnormality in the monitoring area, the monitoring unit is enabled to continuously obtain data from the cable according to a certain time period.

2. The cable quality inspection method according to claim 1, characterized in that: The temperature sensor, the vibration sensor and the acoustic emission sensor arranged in each monitoring area are all at the same position.

3. The cable quality inspection method according to claim 1, wherein the processing unit analyzes the data in S3, A current threshold, a temperature safety upper limit, a vibration threshold, and an acoustic emission signal threshold are set; and the data obtained from S2 are analyzed based on the thresholds.

4. The cable quality inspection method according to claim 1, characterized in that: The data obtained in each monitoring area in S3 is provided with a unique number, so as to facilitate locating the monitoring area where the cable abnormality occurs in S4.

5. The cable quality inspection method according to claim 1 or 3, characterized in that: The current data analysis includes: Collecting the cable current data in real time through the current sensor; Using a sliding average method to perform noise reduction on the current data; Setting the current threshold according to the cable specifications; A real-time logic judgment is performed based on the current threshold. If a current mutation occurs, a current mutation threshold is set and a real-time logic judgment is performed.

6. The cable quality inspection method according to claim 1 or 3, characterized in that: The temperature data analysis includes: Collecting the cable surface temperature data in real time through the temperature sensor; Performing data filtering processing on the collected temperature data; The temperature safety upper limit is set according to the cable material. The temperature safety upper limit includes a first-level temperature threshold and a second-level temperature threshold. The first-level temperature threshold is a warning function, and the second-level temperature threshold is a serious alarm function. Real-time logical judgment is performed based on the temperature safety upper limit. For abnormal temperature rise rate, a temperature change threshold is set and real-time logical judgment is performed.

7. The cable quality inspection method according to claim 1 or 3, characterized in that: The vibration data analysis includes: The cable vibration signal is collected in real time by the vibration sensor; Using a sliding average method to perform noise reduction on the vibration signal; Then, performing feature value extraction on the vibration signal after noise reduction processing; Setting the vibration signal threshold according to the cable; Real-time logical judgment is performed according to the vibration signal threshold.

8. The cable quality inspection method according to claim 1 or 3, characterized in that: The acoustic emission signal analysis includes: Acquiring the acoustic emission signal of the cable in real time through the acoustic emission sensor; Performing filtering and denoising on the collected acoustic emission signal; Then, extracting characteristic values of the acoustic emission signal after filtering and denoising; Setting the acoustic emission signal threshold according to the cable; Real-time logical judgment is performed according to the acoustic emission signal threshold.

9. A cable quality inspection system for executing the cable quality inspection method according to any one of claims 1 to 8, comprising a cable monitoring module, a current monitoring module, a transmission module, a processing module and a terminal, characterized in that: The cable monitoring module includes a plurality of monitoring units for acquiring data on temperature changes, vibration conditions, and acoustic emission signals in the cable; the current monitoring module includes a current sensor for acquiring current data of the cable; The transmission module includes the transmission unit, which is used to transmit the data signals obtained by the cable monitoring module and the current monitoring module to the processing module; The processing module includes the processing unit, which is used to analyze the data in the cable monitoring module and the current monitoring module, and display the analysis results on the terminal; The terminal includes an alarm unit and a positioning unit, which are used to record and monitor the results analyzed by the processing module, and to perform alarm and positioning processing on abnormal data.

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