A method for monitoring cable surface defects

Abstract

The present invention belongs to the technical field of cable monitoring, and specifically is a cable surface defect monitoring method, including cable surface image acquisition, cable surface defect identification, defect early warning judgment, cable operation and maintenance processing, cable management difficulty analysis and key area management rationality evaluation; the present invention can automatically acquire, process and analyze the cable surface image, realize automatic detection and positioning of cable surface defects, has the advantages of high automation, high accuracy and strong real-time performance, provides strong guarantee for the safe operation of the power system, and analyzes through the regional cable decision module to determine the key area and the ordinary area, and the regional management tracking module judges the rationality of the cable management for the corresponding key area through analysis, which is conducive to the subsequent reasonable formulation and implementation of cable management plans for each area, reduces the work difficulty of management personnel and the risk of cable operation in each area, and has a high degree of intelligence.

Description

Technical Field

[0001] The invention relates to the technical field of cable monitoring, and in particular to a method for monitoring cable surface defects. Background Art

[0002] Cable is a device for transmitting electric energy or signals, usually composed of several or several groups of wires. It is widely used in the fields of power, communication, construction, transportation, industry, etc., to connect circuits, electrical appliances, equipment, etc., to achieve the transmission and distribution of electric energy or signals. With the rapid development of the power industry, cables are an important carrier of power transmission, and their safety and reliability are crucial to the stable operation of the power system.

[0003] However, after long-term use, cables are at risk of developing various surface defects, which can affect cable performance and easily cause serious safety accidents. Traditional cable surface defect monitoring methods are difficult to automatically detect and identify cable surface defects and provide timely warnings, and are unable to analyze and determine areas that require key monitoring and accurately evaluate the rationality of management in key areas, which is not conducive to reducing management difficulty and cable operation risks in various areas, and have low levels of automation and intelligence.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a cable surface defect monitoring method, which solves the problems that the prior art is difficult to realize automatic detection and identification of cable surface defects and timely warning, as well as the inability to analyze and determine the areas that need to be monitored and accurately evaluate the management rationality of the key areas, and the low degree of automation and intelligence.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A cable surface defect monitoring method comprises the following steps:

[0008] Step 1: The cable surface monitoring module collects the surface image of the corresponding cable and sends the collected cable surface image to the image processing and capturing module;

[0009] Step 2: The image processing and capturing module performs denoising and enhancement preprocessing operations on the cable surface image, extracts features and identifies defects on the cable surface image, captures various defects on the cable surface, and sends the cable surface defect identification information to the information analysis module;

[0010] Step 3: The information analysis module locates and classifies the defects based on the cable surface defect identification information, determines whether to generate defect warning information based on the severity and type of the defects, and sends the defect warning information to the cable integrated management terminal when it is generated;

[0011] Step 4: The cable integrated management terminal collects the location of the cable corresponding to the defect warning information to determine the inspection and maintenance personnel in the corresponding area, and notifies the corresponding inspection and maintenance personnel to go and handle the corresponding cable;

[0012] Step 5: Analyze the cable management difficulty of the corresponding area through the regional cable decision module, mark the corresponding area as a key area or a common area, and send the key area to the regional management tracking module;

[0013] Step 6. The regional management tracking module determines the rationality of cable management for the corresponding key areas through analysis, generates a signal to be optimized or a qualified management signal for the corresponding area, and sends the signal to be optimized or the qualified management signal for the corresponding key area to the cable integrated management terminal.

[0014] Furthermore, in step 5, the specific analysis process of the regional cable decision module is as follows:

[0015] Obtain all areas that need to be monitored for cables, mark the area of ​​the corresponding area as the monitoring area value, and mark the number of cables that need to be monitored in the corresponding area as the cable number inspection value, collect the length of the corresponding cables that need to be monitored, and sum up the lengths of all cables that need to be monitored in the corresponding area to obtain the total cable length table value;

[0016] The cable loss assessment value of the corresponding area is obtained, and the regional decision initial inspection value is obtained by numerically calculating the monitoring surface value, cable number inspection value, cable length total table value and cable loss assessment value. The regional decision initial inspection value is numerically compared with the preset regional decision initial inspection threshold. If the regional decision initial inspection value exceeds the preset regional decision initial inspection threshold, the corresponding area is marked as a key area.

[0017] Furthermore, if the regional decision initial inspection value does not exceed the preset regional decision initial inspection threshold, the regional defect performance value is obtained through early warning detection analysis in each time period, and the regional defect performance value is numerically compared with the preset regional defect performance threshold. If the regional defect performance value exceeds the preset regional defect performance threshold, the corresponding area is marked as a key area; if the regional defect performance value does not exceed the preset regional defect performance threshold, the corresponding area is marked as an ordinary area.

[0018] Furthermore, the specific analysis process of early warning detection analysis by time period is as follows:

[0019] Set a detection cycle, set several detection periods within the detection cycle, and the duration of all detection periods is the same; through analysis, mark the corresponding detection period as a defect high-incidence period or a defect low-incidence period, obtain the number of defect high-incidence periods in the corresponding area within the detection cycle and mark it as the high-incidence period number inspection value, and sum up the defect warning detection values ​​of all detection periods to obtain the defect warning total frequency value;

[0020] The occurrence time of the corresponding defect warning information is collected and marked as the defect occurrence time, the interval between two adjacent groups of defect occurrence times is marked as the defect occurrence interval value, and the spacing between the cables corresponding to the two groups of defect warning information is marked as the defect occurrence distance table value, and the ratio of the defect occurrence interval value to the corresponding defect occurrence distance table value is marked as the processing emergency value, and the number of processing emergency values ​​that do not exceed the preset processing emergency threshold within the detection period is obtained and marked as the emergency processing number inspection value;

[0021] The regional defect warning value is obtained by numerically calculating the number of inspection values ​​in high-incidence periods, the total frequency value of defect warnings and the number of inspection values ​​for emergency processing.

[0022] Furthermore, the analysis and judgment method for the high-incidence period of defects and the low-incidence period of defects is as follows:

[0023] The number of defect warning information generated in the corresponding area of ​​the corresponding detection period is collected and marked as the defect warning detection value, and the defect warning detection value is numerically compared with the preset defect warning detection threshold. If the defect warning detection value exceeds the preset defect warning detection threshold, the corresponding detection period is marked as a high-incidence defect period; if the defect warning detection value does not exceed the preset defect warning detection threshold, the corresponding detection period is marked as a low-incidence defect period.

[0024] Furthermore, in step six, the specific analysis process of the regional management tracking module is as follows:

[0025] When generating corresponding defect warning information, the corresponding generation time is marked as the first time, and the completion time of the corresponding cable processing for the corresponding defect warning information is collected and marked as the second time, and the interval between the first time and the second time is marked as the performance time; the performance time is numerically compared with the corresponding preset performance time threshold, and if the performance time exceeds the preset performance time threshold, the corresponding performance time is marked as the red time;

[0026] The number of red-marked durations corresponding to the corresponding key areas within the detection period is obtained and marked as emergency non-good values, and the excess value of the corresponding red-marked duration compared to the corresponding preset performance duration is marked as a timeout detection value, and all timeout detection values ​​of the corresponding key areas within the detection period are averaged to obtain a timeout decision value, and the timeout detection value with the largest value is marked as a timeout amplitude value;

[0027] The management tracking value is obtained by numerically calculating the emergency non-good value, timeout decision value and timeout amplitude value, and the management tracking value is numerically compared with the corresponding preset management tracking threshold. If the management tracking value exceeds the preset management tracking threshold, the optimization signal for the corresponding key area is generated.

[0028] Furthermore, if the management tracking value does not exceed the preset management tracking threshold, when there is no operation and maintenance personnel on duty in the corresponding key area, it is judged that it is in an abnormal working state, and all single durations of the abnormal working state corresponding to the corresponding key area within the detection period are obtained, and the single durations of all abnormal working states are summed up to obtain the abnormal working state value, and the number of single durations exceeding the preset single duration is marked as the abnormal working state value;

[0029] And the management tracking value, the working status time difference value and the working status difference value are numerically calculated to obtain the rationality coefficient, and the rationality coefficient is numerically compared with the preset rationality coefficient threshold. If the rationality coefficient exceeds the preset rationality coefficient threshold, a signal for optimization of the corresponding key area is generated; if the rationality coefficient does not exceed the preset rationality coefficient threshold, a management qualified signal of the corresponding key area is generated.

[0030] Furthermore, the regional cable decision module is connected to the cable loss assessment module in communication. The cable loss assessment module is used to perform a loss assessment analysis on the cables to be monitored in the corresponding area to obtain a cable loss assessment value, and send the cable loss assessment value to the regional cable decision module. The specific analysis process is as follows:

[0031] The commissioning date of the corresponding cable in the corresponding area is obtained, the interval between the current date and the commissioning period is marked as the cable usage value, and the total time when the corresponding cable is in an abnormal operation state in the historical stage is marked as the cable abnormal time value. The cable performance value of the corresponding cable is obtained by numerically calculating the cable usage value and the cable abnormal time value, and the cable performance values ​​of all cables that need to be monitored in the corresponding area are averaged to obtain the cable loss assessment value.

[0032] Furthermore, the analysis and judgment process of the abnormal operation status of the cable is as follows:

[0033] The operating voltage value and the operating current value of the corresponding cable are collected. If the operating voltage value or the operating current value exceeds the corresponding preset threshold value, it is judged that the corresponding cable is in an abnormal operating state. If both the operating voltage value and the operating current value do not exceed the corresponding preset threshold value, the ambient temperature deviation value, the ambient humidity deviation value and the ultraviolet radiation value of the environment in which the corresponding cable is located are collected. If the ambient temperature deviation value, the ambient humidity deviation value or the ultraviolet radiation value exceeds the corresponding preset threshold value, it is judged that the corresponding cable is in an abnormal operating state.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] 1. In the present invention, the cable surface monitoring module collects the cable surface image, the image processing and capturing module captures various defects on the cable surface based on the cable surface image, and the information analysis module determines whether to generate defect warning information based on the cable surface defect identification information. When the defect warning information is generated, the cable integrated management terminal notifies the corresponding inspection and maintenance personnel to go to the corresponding cable for processing, and can automatically collect, process and analyze the cable surface image, which has the advantages of high automation, high accuracy and strong real-time performance, and provides a strong guarantee for the safe operation of the power system;

[0036] 2. In the present invention, the regional cable decision module is used to analyze and judge the difficulty of cable management in the corresponding area, and the key areas and ordinary areas are determined accordingly. The regional management tracking module is used to analyze and judge the rationality of cable management for the corresponding key areas, and accordingly generates a signal to be optimized or a qualified management signal for the corresponding area, which is conducive to the subsequent reasonable formulation and implementation of cable management plans for each area, reduces the work difficulty of management personnel and the risk of cable operation in each area, and has a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0038] Figure 1 is a flow chart of the method of the present invention;

[0039] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0040] 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.

[0041] Embodiment 1: Figure 1-2 As shown, a cable surface defect monitoring method proposed by the present invention comprises the following steps:

[0042] Step 1: The cable surface monitoring module (mainly using a high-resolution camera) collects the surface image of the corresponding cable and sends the collected cable surface image to the image processing and capturing module.

[0043] Step 2: The image processing capture module performs preprocessing operations such as denoising and enhancement on the cable surface image to improve image quality, reduce noise and interference, and enhance key features; the cable surface image is subjected to feature extraction and defect recognition, various defects on the cable surface are captured, and the cable surface defect recognition information is sent to the information analysis module;

[0044] Among them, feature extraction: use image processing algorithms to extract key features such as color, texture, shape, etc. from preprocessed images; defect recognition: based on the extracted features, machine learning or deep learning algorithms are used to identify defects on the cable surface. These defects include scratches, bulges, breakages, pits, etc.

[0045] Step 3: The information analysis module locates and classifies defects based on the cable surface defect identification information (classifies the identified defects and determines their specific locations on the cable, usually represented by pixel coordinates or actual distances), and determines whether to generate defect warning information based on the severity and type of the defects (i.e. when serious defects are detected, such as breakage, excessively long scratches or cracks, etc.), and when the defect warning information is generated, it is sent to the cable integrated management terminal.

[0046] Step 4: The cable integrated management terminal collects the position of the cable corresponding to the defect warning information to determine the inspection and maintenance personnel in the corresponding area, and notifies the corresponding inspection and maintenance personnel to go and handle the corresponding cable. It can automatically collect, process and analyze images of the cable surface, and realize automatic detection and positioning of cable surface defects. It has the advantages of high degree of automation, high accuracy, strong real-time performance, etc., which can greatly improve the efficiency and accuracy of cable detection, and provide strong guarantee for the safe operation of the power system.

[0047] Step 5: Analyze through the regional cable decision module to determine the difficulty of cable management in the corresponding area, mark the corresponding area as a key area or a common area, and send the key area to the regional management tracking module. In the future, the key areas will be continuously monitored and strengthened in management, which is conducive to the subsequent reasonable formulation and implementation of cable management plans for each area, reducing the difficulty of management personnel's work and having a high degree of intelligence. The specific analysis process is as follows:

[0048] Obtain all the areas that need to be monitored, mark the area of ​​the corresponding area as the monitoring area value, and mark the number of cables that need to be monitored in the corresponding area as the cable number inspection value, collect the length of the corresponding cable that needs to be monitored, and sum up the length of all cables that need to be monitored in the corresponding area to obtain the total table value of the cable length, and obtain the cable loss assessment value of the corresponding area;

[0049] By formula The monitoring value QM, the cable number inspection value QS, the cable length total table value QC and the cable loss assessment value QT are numerically calculated to obtain the regional decision initial inspection value QK, where a1, a2, a3, and a4 are preset proportional coefficients, and the values ​​of a1, a2, a3, and a4 are all positive numbers; and the larger the value of the regional decision initial inspection value QK, the greater the difficulty of cable monitoring and management in the corresponding area;

[0050] The regional decision initial inspection value QK is numerically compared with the preset regional decision initial inspection threshold. If the regional decision initial inspection value QK exceeds the preset regional decision initial inspection threshold, it indicates that the cable monitoring management difficulty of the corresponding area is initially poor and continuous key supervision of the corresponding area is required, then the corresponding area will be marked as a key area.

[0051] If the regional decision initial inspection value QK does not exceed the preset regional decision initial inspection threshold, the regional defect performance value is obtained through early warning detection analysis in each period, specifically: setting a detection cycle, preferably, the detection cycle is forty days; setting a number of detection periods within the detection cycle, and the duration of all detection periods is the same;

[0052] The number of defect warning information generated in the corresponding area of ​​the corresponding detection period is collected and marked as the defect warning detection value, and the defect warning detection value is numerically compared with the preset defect warning detection threshold. If the defect warning detection value exceeds the preset defect warning detection threshold, the corresponding detection period is marked as a defect high-incidence period; if the defect warning detection value does not exceed the preset defect warning detection threshold, the corresponding detection period is marked as a defect low-incidence period;

[0053] The number of defect high-incidence periods in the corresponding area within the detection period is obtained and marked as the high-incidence period number inspection value, and the defect warning detection values ​​of all detection periods are summed up to obtain the total defect warning frequency value;

[0054] The occurrence time of the corresponding defect warning information is collected and marked as the defect occurrence time, the interval between two adjacent groups of defect occurrence times is marked as the defect occurrence interval value, and the spacing between the cables corresponding to the two groups of defect warning information is marked as the defect occurrence distance table value, and the ratio of the defect occurrence interval value to the corresponding defect occurrence distance table value is marked as the processing emergency value, wherein, if the value of the processing emergency value is too small, it indicates that it is more difficult to process the cable corresponding to the next defect warning information in time; the processing emergency value is numerically compared with the preset processing emergency threshold, and the number of processing emergency values ​​that do not exceed the preset processing emergency threshold within the detection period is obtained and marked as the emergency processing value;

[0055] By formula The high-incidence period number inspection value LS, the defect warning total frequency value LP and the emergency processing number inspection value LM are numerically calculated to obtain the regional defect warning value LY, where us1, us2 and us3 are preset proportional coefficients, us1>us3>us2>0; and the larger the value of the regional defect warning value LY, the greater the overall difficulty of cable management in the corresponding area;

[0056] The regional defect performance value LY is numerically compared with the preset regional defect performance threshold. If the regional defect performance value LY exceeds the preset regional defect performance threshold, it indicates that the cable management difficulty of the corresponding area is generally large, and the corresponding area is marked as a key area; if the regional defect performance value LY does not exceed the preset regional defect performance threshold, it indicates that the cable management difficulty of the corresponding area is generally small, and the corresponding area is marked as an ordinary area.

[0057] Step 6. The regional management tracking module determines the rationality of cable management for the corresponding key areas through analysis, and generates a signal to be optimized or a qualified management signal for the corresponding area, and sends the signal to be optimized or the qualified management signal for the corresponding key area to the cable integrated management end. When the cable integrated management end receives the signal to be optimized, it issues a corresponding warning, and timely trains the operation and maintenance personnel in the corresponding area, and strengthens the subsequent personnel management of the corresponding area, so as to ensure the subsequent management effect of the cables in the corresponding area and reduce the risk of cable operation in the corresponding area. The specific analysis process is as follows:

[0058] When generating corresponding defect warning information, the corresponding generation time is marked as the first time, and the completion time of the corresponding cable processing for the corresponding defect warning information is collected and marked as the second time, and the interval between the first time and the second time is marked as the performance time; wherein, the larger the value of the performance time, the less timely the processing of the corresponding cable; the performance time is numerically compared with the corresponding preset performance time threshold, if the performance time exceeds the preset performance time threshold, it indicates that the processing of the corresponding cable is not timely, and the corresponding performance time is marked as the red time;

[0059] The number of red-marked durations corresponding to the corresponding key areas within the detection period is obtained and marked as emergency non-good values, and the excess value of the corresponding red-marked duration compared to the corresponding preset performance duration is marked as a timeout detection value, and all timeout detection values ​​of the corresponding key areas within the detection period are averaged to obtain a timeout decision value, and the timeout detection value with the largest value is marked as a timeout amplitude value;

[0060] By formula The emergency non-good value F, the timeout decision value R and the timeout amplitude value Z are numerically calculated to obtain the management tracking value GX, wherein e1, e2 and e3 are preset proportional coefficients, e1>e2>e3>0; and the larger the value of the management tracking value GX, the worse the cable early warning processing efficiency for the corresponding area within the detection period;

[0061] The management tracking value GX is numerically compared with the corresponding preset management tracking threshold. If the management tracking value GX exceeds the preset management tracking threshold, it indicates that the cable warning processing efficiency for the corresponding area during the detection period is poor, and a signal to be optimized is generated for the corresponding key area.

[0062] Furthermore, if the management tracking value GX does not exceed the preset management tracking threshold, then when there is no operation and maintenance personnel on duty in the corresponding key area, it is judged that it is in an abnormal working state, and all single durations of the abnormal working state corresponding to the corresponding key area within the detection period are obtained, and the single durations of all abnormal working states are summed up to obtain the abnormal working state value, and the single duration is numerically compared with the preset single duration threshold, and the number of single durations exceeding the preset single duration is marked as the abnormal working state value;

[0063] And through the formula The management tracking value GX, the working state abnormal time value GY and the working state abnormal holding value GP are numerically calculated to obtain the rationality coefficient HX, wherein wq1, wq2 and wq3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the rationality coefficient HX, the worse the management performance of the corresponding area in the detection period is.

[0064] The rationality coefficient HX is numerically compared with the preset rationality coefficient threshold. If the rationality coefficient HX exceeds the preset rationality coefficient threshold, it indicates that the management performance of the corresponding area during the detection period is poor on the whole, and it is necessary to timely optimize and adjust the management plan of the corresponding area, strengthen personnel supervision and training for the corresponding area, then generate a signal for optimization of the corresponding key area; if the rationality coefficient HX does not exceed the preset rationality coefficient threshold, it indicates that the management performance of the corresponding area during the detection period is good on the whole, then generate a qualified management signal for the corresponding key area.

[0065] Embodiment 2: Figure 2As shown, the difference between this embodiment and embodiment 1 is that the regional cable decision module is connected to the cable loss assessment module in communication, and the cable loss assessment module performs a loss assessment analysis on the cables to be monitored in the corresponding area to obtain a cable loss assessment value; and sends the cable loss assessment value of the corresponding area to the regional cable decision module and the cable integrated management terminal, which can not only accurately feedback the status of each cable in the corresponding area, but also provide data support for the analysis process of the regional cable decision module to ensure the accuracy of its analysis results; the specific analysis process is as follows:

[0066] The operating voltage value and the operating current value of the corresponding cable are collected. If the operating voltage value or the operating current value exceeds the corresponding preset threshold value, it is judged that the corresponding cable is in an abnormal operating state. If both the operating voltage value and the operating current value do not exceed the corresponding preset threshold value, the ambient temperature deviation value (i.e., the data value of the degree of deviation of the ambient temperature from the preset cable suitable temperature standard value), the ambient humidity deviation value (i.e., the data value of the degree of deviation of the ambient humidity from the preset cable suitable humidity standard value) and the ultraviolet radiation value (i.e., the data value of the ultraviolet radiation intensity) of the environment in which the corresponding cable is located are collected. If the ambient temperature deviation value, the ambient humidity deviation value or the ultraviolet radiation value exceeds the corresponding preset threshold value, it is judged that the corresponding cable is in an abnormal operating state;

[0067] Obtain the commissioning date of the corresponding cable in the corresponding area, mark the interval between the current date and the commissioning period as the cable usage value, and mark the total time that the corresponding cable is in an abnormal operating state in the historical stage as the cable abnormal time value;

[0068] By formula The cable usage value TP and the cable asynchronous value TK are numerically calculated to obtain the cable performance value NY of the corresponding cable, wherein t1 and t2 are preset proportional coefficients, and t2>t1>0; and when the value of the cable performance value NY is too large, it indicates that the corresponding cable itself is in poor condition and is prone to surface defects, and the corresponding cable needs to be monitored in the future; and the cable performance values ​​of all cables that need to be monitored in the corresponding area are averaged to obtain the cable loss rating value QT, wherein the cable loss rating value NW comprehensively reflects the cable quality status of the corresponding area, and the larger the value of the cable loss rating value QT, the worse the cable quality status of the corresponding area is overall.

[0069] The working principle of the present invention is as follows: when in use, the cable surface monitoring module collects the cable surface image, the image processing and capturing module captures various defects on the cable surface based on the cable surface image, the information analysis module locates and classifies the defects based on the cable surface defect recognition information and determines whether to generate defect warning information, when the defect warning information is generated, the cable integrated management terminal notifies the corresponding inspection and maintenance personnel to go to the corresponding cable for processing, and can automatically collect, process and analyze the cable surface image to realize automatic detection and positioning of cable surface defects, with the advantages of high degree of automation, high accuracy and strong real-time performance, providing strong guarantee for the safe operation of the power system, and through the regional cable decision module to analyze to determine the difficulty of cable management in the corresponding area, and mark the corresponding area as a key area or an ordinary area, the regional management tracking module determines the rationality of cable management for the corresponding key area through analysis, and generates a signal to be optimized or a qualified management signal for the corresponding area, which is conducive to the subsequent reasonable formulation and implementation of cable management plans for each area, reducing the work difficulty of management personnel and the risk of cable operation in each area, and having a high degree of intelligence.

[0070] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A cable surface defect monitoring method, characterized in that: The following steps are involved: Step 1: The cable surface monitoring module collects the surface image of the corresponding cable and sends the collected cable surface image to the image processing and capturing module; Step 2: The image processing and capturing module performs denoising and enhancement preprocessing operations on the cable surface image, extracts features and identifies defects on the cable surface image, captures various defects on the cable surface, and sends the cable surface defect identification information to the information analysis module; Step 3: The information analysis module locates and classifies the defects based on the cable surface defect identification information, determines whether to generate defect warning information based on the severity and type of the defects, and sends the defect warning information to the cable integrated management terminal when it is generated; Step 4: The cable integrated management terminal collects the location of the cable corresponding to the defect warning information to determine the inspection and maintenance personnel in the corresponding area, and notifies the corresponding inspection and maintenance personnel to go and handle the corresponding cable; Step 5: Analyze the cable management difficulty of the corresponding area through the regional cable decision module, mark the corresponding area as a key area or a common area, and send the key area to the regional management tracking module; Step 6: The regional management tracking module determines the rationality of cable management for the corresponding key area through analysis, generates a signal to be optimized or a qualified management signal for the corresponding area, and sends the signal to be optimized or the qualified management signal for the corresponding key area to the cable integrated management terminal; In step 5, the specific analysis process of the regional cable decision module is as follows: Obtain all areas that need to be monitored for cables, mark the area of ​​the corresponding area as the monitoring area value, and mark the number of cables that need to be monitored in the corresponding area as the cable number inspection value, collect the length of the corresponding cables that need to be monitored, and sum up the lengths of all cables that need to be monitored in the corresponding area to obtain the total cable length table value; The cable loss assessment value of the corresponding area is obtained, and the regional decision initial inspection value is obtained by numerically calculating the monitoring surface value, the cable number inspection value, the cable length total table value and the cable loss assessment value. The regional decision initial inspection value is numerically compared with the preset regional decision initial inspection threshold. If the regional decision initial inspection value exceeds the preset regional decision initial inspection threshold, the corresponding area is marked as a key area; If the regional decision initial inspection value does not exceed the preset regional decision initial inspection threshold, the regional defect performance value is obtained through early warning detection analysis in each period, and the regional defect performance value is numerically compared with the preset regional defect performance threshold. If the regional defect performance value exceeds the preset regional defect performance threshold, the corresponding area is marked as a key area; if the regional defect performance value does not exceed the preset regional defect performance threshold, the corresponding area is marked as a normal area; The specific analysis process of early warning detection analysis by time period is as follows: Set a detection cycle, set several detection periods within the detection cycle, and the duration of all detection periods is the same; through analysis, mark the corresponding detection period as a defect high-incidence period or a defect low-incidence period, obtain the number of defect high-incidence periods in the corresponding area within the detection cycle and mark it as the high-incidence period number inspection value, and sum up the defect warning detection values ​​of all detection periods to obtain the defect warning total frequency value; The occurrence time of the corresponding defect warning information is collected and marked as the defect occurrence time, the interval between two adjacent groups of defect occurrence times is marked as the defect occurrence interval value, and the spacing between the cables corresponding to the two groups of defect warning information is marked as the defect occurrence distance table value, and the ratio of the defect occurrence interval value to the corresponding defect occurrence distance table value is marked as the processing emergency value, and the number of processing emergency values ​​that do not exceed the preset processing emergency threshold within the detection period is obtained and marked as the emergency processing number inspection value; The regional defect warning value is obtained by numerically calculating the number inspection value of the high-incidence period, the total frequency value of the defect warning and the number inspection value of the emergency treatment; The analysis and judgment methods for high-incidence and low-incidence periods of defects are as follows: The number of defect warning information generated in the corresponding area of ​​the corresponding detection period is collected and marked as a defect warning detection value, and the defect warning detection value is numerically compared with a preset defect warning detection threshold. If the defect warning detection value exceeds the preset defect warning detection threshold, the corresponding detection period is marked as a defect high-incidence period; If the defect warning detection value does not exceed the preset defect warning detection threshold, the corresponding detection period is marked as a low defect occurrence period; The regional cable decision module is connected to the cable loss assessment module. The cable loss assessment module is used to perform a loss assessment analysis on the cables to be monitored in the corresponding area to obtain a cable loss assessment value, and send the cable loss assessment value to the regional cable decision module. The specific analysis process is as follows: Obtain the commissioning date of the corresponding cable in the corresponding area, mark the interval between the current date and the commissioning period as the cable usage value, and mark the total time that the corresponding cable is in an abnormal operating state in the historical stage as the cable abnormal time value, and obtain the cable performance value of the corresponding cable by numerically calculating the cable usage value and the cable abnormal time value, and calculate the average of the cable performance values ​​of all cables that need to be monitored in the corresponding area to obtain the cable loss assessment value; The analysis and judgment process of the abnormal operation status of the cable is as follows: The operating voltage value and the operating current value of the corresponding cable are collected. If the operating voltage value or the operating current value exceeds the corresponding preset threshold value, it is judged that the corresponding cable is in an abnormal operating state. If both the operating voltage value and the operating current value do not exceed the corresponding preset threshold value, the ambient temperature deviation value, the ambient humidity deviation value and the ultraviolet radiation value of the environment in which the corresponding cable is located are collected. If the ambient temperature deviation value, the ambient humidity deviation value or the ultraviolet radiation value exceeds the corresponding preset threshold value, it is judged that the corresponding cable is in an abnormal operating state.

2. A cable surface defect monitoring method according to claim 1, characterized in that: In step six, the specific analysis process of the regional management tracking module is as follows: The number of red-marked durations corresponding to the corresponding key areas within the detection period is obtained and marked as emergency non-good values, and the excess value of the corresponding red-marked duration compared to the corresponding preset performance duration is marked as a timeout detection value, and all timeout detection values ​​of the corresponding key areas within the detection period are averaged to obtain a timeout decision value, and the timeout detection value with the largest value is marked as a timeout amplitude value; The management tracking value is obtained by numerically calculating the emergency non-good value, the timeout decision value and the timeout amplitude value. If the management tracking value exceeds the preset management tracking threshold, the optimization signal for the corresponding key area is generated.

3. A cable surface defect monitoring method according to claim 2, characterized in that: If the management tracking value does not exceed the preset management tracking threshold, the management tracking value, the working state time difference value and the working state difference value are numerically calculated to obtain the rationality coefficient. If the rationality coefficient exceeds the preset rationality coefficient threshold, the optimization signal for the corresponding key area is generated; If the rationality coefficient does not exceed the preset rationality coefficient threshold, a management qualification signal for the corresponding key area is generated.

Images