Cable fault monitoring and analyzing method based on communication power distribution

Abstract

The invention belongs to the technical field of communication power distribution cable fault monitoring, and discloses a cable fault monitoring analysis method based on communication power distribution. According to the invention, when the abnormal condition of the monitored current is analyzed, the voltage fluctuation condition of the external power grid is analyzed, and then the influence analysis of the abnormal condition of the monitored current is carried out, so that the analysis mode improves the accuracy of fault judgment, facilitates more accurate positioning of a fault point, optimizes the fault positioning effect, and improves the fault positioning efficiency. Possible communication power distribution cable fault hidden dangers can be found in time, fault expansion is prevented, and safe and stable operation of a communication power distribution system is guaranteed. According to the method, when the abnormal condition of the monitored communication distribution cable data is analyzed, comprehensive analysis of multi-source combination is carried out from the deformation condition of the communication distribution cable in each abnormal monitoring section and the abnormal condition of the physical data, and the analysis mode can realize accurate diagnosis of the fault of the communication distribution cable.

Description

Technical Field

[0001] The present invention belongs to the technical field of cable fault monitoring, and relates to a cable fault monitoring and analysis method based on communication power distribution. Background Art

[0002] Communication power distribution cables mostly adopt buried cables, which are cables buried underground for transmitting electric energy or signals. It mainly consists of a conductor, an insulating layer, a shielding layer, a sheath and other parts. This kind of cable can effectively avoid damage to the cable caused by above-ground environmental factors (such as bad weather, mechanical collision, etc.), and at the same time reduce the occupation of ground space, making the urban landscape more tidy and beautiful. The characteristics of buried cables make it difficult to locate faults during fault monitoring and limit the applicability of equipment. Therefore, the research on cable fault monitoring and analysis based on buried cables is of great significance.

[0003] In the prior art, there are also related solutions for cable fault monitoring. For example, a Chinese invention patent application for a cable fault monitoring method using an underground cable fault monitoring system with the publication number CN105353266B includes: a robot, a cable marking post and a host computer. The cable marking post includes a column, a solar panel, a lithium battery, a single-chip microcomputer, a GPS positioning module, a wireless power supply device, a data transfer device and a radio frequency induction device. The GPRS wireless transceiver module is communicatively connected to the host computer; the robot also includes a wireless power receiving device for receiving the electric energy of the wireless power supply device, a second wireless data transceiver module matching the first wireless data transceiver module of the data transfer device, and a radio frequency card cooperating with the radio frequency induction device; the host computer includes a map for displaying the cable position.

[0004] In addition, a Chinese invention patent application for a comprehensive monitoring method and system for cable faults and operating states with the publication number CN112363008A calculates the cable fault point by collecting the amplitude and phase information of the metal sheath current at different frequencies, and analyzes whether the cable has a fault; according to the determined fault, it judges the fault type and locates the cable fault; it sends the obtained cable fault point data, fault type, and fault location point information to the background. The present invention finds a method for judging the cable fault type by monitoring the metal sheath current information of the cable, overcoming the shortcoming that the traditional cable metal sheath current monitoring device only measures the current and cannot judge the cable fault information.

[0005] While the two aforementioned solutions offer some solutions for cable fault monitoring, they still have certain limitations: First, existing technical solutions ignore the impact of grid voltage fluctuations on monitoring parameters. This analysis significantly increases the rate of false positives, making it impossible to accurately assess cable health and posing a potential threat to power system stability. Second, existing technical solutions lack a comprehensive analysis of visual images and physical parameters when determining the presence of a fault point. This analysis reduces fault location accuracy, increases the risk of false positives and missed detections, fails to effectively leverage the advantages of multi-source data, and reduces the efficiency and reliability of fault diagnosis. Summary of the Invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a cable fault monitoring and analysis method based on communication power distribution is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: A cable fault monitoring and analysis method based on communication power distribution, including: S1, monitoring section division: dividing the target cable into monitoring sections based on equal intervals to obtain several monitoring sections.

[0008] S2. Electrical performance data collection: Current transformers are set at the junctions of each monitoring section, and the reference current and monitoring current of each monitoring section are obtained by using the current transformers.

[0009] S3. Electrical performance data analysis: Extract the reference current and monitoring current of each monitoring section within the pre-set monitoring period, analyze the current anomaly of each monitoring section, obtain the external grid voltage of each monitoring section within the monitoring period, analyze the external grid voltage fluctuation of each monitoring section, and then analyze the monitoring current anomaly of each monitoring section.

[0010] S4. Identification of abnormal monitoring sections: Determine whether each monitoring section has an abnormal situation, and record the monitoring section where the abnormal situation is determined to exist as an abnormal monitoring section.

[0011] S5. Automatic scanning device setting: An automatic detection device is set up, and the automatic detection device is provided with a self-moving structure, a temperature sensor, a magnetic field intensity sensor and a ground penetrating radar.

[0012] S6. Monitoring cable data acquisition: Use the automatic detection device to scan each abnormal monitoring section to obtain the monitoring cable data of each abnormal monitoring section, including temperature, magnetic field strength and underground structure image.

[0013] S7. Monitoring cable data analysis: Based on the underground structure images of each abnormal monitoring section, the cable deformation of each abnormal monitoring section is analyzed, and then the abnormality of the monitoring cable data of each abnormal monitoring section is analyzed.

[0014] S8. Abnormal cable position identification: Based on the abnormal conditions of the monitoring cable data in each abnormal monitoring section, determine whether there is a fault point in each abnormal monitoring section. If there is, further locate the fault point.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) When analyzing the abnormal situation of the monitoring current, the present invention analyzes the fluctuation situation of the external power grid voltage and then analyzes the influence of the abnormal situation of the monitoring current. This analysis method improves the accuracy of fault judgment, helps to more accurately locate the fault point, optimizes the effect of fault location, can timely detect potential cable fault hazards, prevent the expansion of faults, ensure the safe and stable operation of the power system, and avoid serious consequences such as large-scale power outages caused by cable faults.

[0016] (2) When analyzing the abnormal situation of the monitoring cable data, the present invention conducts a comprehensive analysis by combining multiple sources from the cable deformation situation and physical data abnormal situation in each abnormal monitoring section. This analysis method can achieve accurate diagnosis of cable faults. The combination of multiple sources can comprehensively consider, accurately identify whether the root cause of the fault is an internal electrical fault or an external mechanical damage, and greatly improve the diagnosis accuracy. This comprehensive perspective overcomes the limitation of one-sidedly focusing on a certain characteristic, completely outlines the real-time state of the cable, and provides a solid basis for formulating scientific and reasonable maintenance and replacement strategies. Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0018] Figure 1 It is a schematic diagram of the implementation steps of the method of the present invention.

[0019] Figure 2 It is a schematic diagram of an embodiment of the monitoring point layout provided by the present invention.

[0020] Reference numerals: 1 - vertical direction, 2 - cable, 3 - upper monitoring point, 4 - lower monitoring point. Detailed Embodiments

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0022] Please refer to Figure 1 As shown, the present invention provides a method for monitoring and analyzing cable faults based on communication power distribution, including: S1. Monitoring section division: The target cable is divided into several monitoring sections based on equal interval distances.

[0023] It should be noted that the reasons for dividing the monitoring sections are as follows: First, to achieve accurate fault location. The complex underground environment makes it difficult to locate faults if the cable has problems. Without dividing sections, fault troubleshooting is like looking for a needle in a haystack. Clear sections can greatly narrow the troubleshooting scope and quickly lock the general area of the fault. Second, it is convenient to concentrate resources to optimize monitoring. Different sections are in different geological conditions and surrounded by different electromagnetic interference sources. After division, detection equipment can be configured and monitoring parameters can be adjusted according to the characteristics of each section, making the monitoring more efficient. Third, it is beneficial to arrange maintenance and repair work. Clear section division allows the maintenance team to plan inspection routes in an orderly manner, reasonably arrange manpower and materials, timely discover and handle potential problems, and ensure the long-term stable operation of buried cables.

[0024] S2. Electrical performance data acquisition: Current transformers are set at the junctions of each monitoring section, and the reference current and monitoring current of each monitoring section are obtained by using the current transformers. [[ID=??]]

[0025] It should be noted that current transformers are respectively connected to both ends of each monitoring section. Taking the current direction as the reference direction, the current transformers are divided into reference current transformers and monitoring current transformers. The reference current transformers of each monitoring section are used to detect the reference current of the corresponding monitoring section, and the monitoring current transformers of each monitoring section are used to detect the monitoring current of the corresponding monitoring section. Theoretically, the reference current and monitoring current of each monitoring section should be the same.

[0026] S3. Electrical performance data analysis: The reference current and monitoring current of each monitoring section within the preset monitoring period are extracted, the current abnormal conditions of each monitoring section are analyzed, the external grid voltage of each monitoring section within the monitoring period is obtained, the external grid voltage fluctuation conditions of each monitoring section are analyzed, and then the monitoring current abnormal conditions of each monitoring section are analyzed.

[0027] In a preferred embodiment of the present invention, to analyze the current abnormal conditions of each monitoring section, an current abnormal index of each monitoring section needs to be constructed. The specific method is as follows: The reference current and monitoring current of each monitoring section within the monitoring period are extracted, and then based on the preset equal interval duration, data selection is performed on the reference current and monitoring current of each monitoring section to obtain the respective reference currents and respective monitoring currents of each monitoring section.

[0028] The respective reference currents and respective monitoring currents of each monitoring section are respectively subjected to mean value calculation to obtain the average reference current and average monitoring current of each monitoring section.

[0029] The absolute value is taken after calculating the difference between the average reference current and the average monitored current of each monitoring section to obtain the monitoring current deviation of each monitoring section, and then the ratio is calculated with the reference current of each corresponding monitoring section to obtain the current anomaly index of each monitoring section.

[0030] It should be noted that the reasons for analyzing the current anomaly index of each monitoring section are as follows: On the one hand, this can play a role in fault warning. Given the complex operating environment of underground cables, the insulation is prone to aging and external forces are likely to cause damage. By continuously monitoring the current, once the anomaly index exceeds the threshold, it may indicate the coming of a fault, gaining the upper hand for emergency repair and avoiding large-scale power outages. On the other hand, it helps to accurately locate the fault. When the system is overall abnormal and the current changes in different sections are different, by comparing the anomaly indices and combining with the line layout, the fault section can be locked, reducing the time-consuming for troubleshooting.

[0031] In a preferred embodiment of the present invention, to analyze the external power grid voltage fluctuation situation of each monitoring section, it is necessary to construct the external power grid voltage fluctuation index of each monitoring section, and the specific method is as follows: Obtain the external power grid voltage of each monitoring section during the monitoring period, and then draw the external power grid voltage fluctuation curve of each monitoring section with time as the abscissa and voltage as the ordinate. Uniformly distribute points on each curve to obtain a number of monitoring points, and record the ordinate of the external power grid voltage fluctuation curve of each monitoring section corresponding to each monitoring point as the monitoring voltage of each monitoring section corresponding to each monitoring point.

[0032] The average voltage of each monitoring section is calculated by taking the mean value of the monitoring voltages of each monitoring section corresponding to each monitoring point. Then, the absolute value is taken after calculating the difference between the monitoring voltage of each monitoring section corresponding to each monitoring point and the average voltage of the corresponding monitoring section to obtain the monitoring voltage deviation of each monitoring section corresponding to each monitoring point. Then, the ratio is calculated with the average voltage of the corresponding monitoring section to obtain the monitoring voltage deviation degree of each monitoring section corresponding to each monitoring point.

[0033] The average value of the monitoring voltage deviation degrees of each monitoring section corresponding to each monitoring point is calculated to obtain the external power grid voltage fluctuation index of each monitoring section.

[0034] It should be noted that the reasons for analyzing the external power grid voltage fluctuation index of each monitoring section and then using it as a correction factor for the abnormal situation of the monitoring current in each monitoring section are as follows: On the one hand, according to Ohm's law, the resistance of underground cables is relatively fixed, and the power grid voltage fluctuation will inevitably drive the change of current, and the two are closely related. On the other hand, it is easy to misjudge the cable fault only based on the current anomaly. For example, when the monitored current increases, it may be caused by the instantaneous rise of the power grid voltage, rather than the cable's own fault. Considering the voltage fluctuation index can accurately identify the root cause of the current anomaly, greatly improve the accuracy of fault judgment, optimize the overall performance of the cable monitoring system, and lay a solid foundation for ensuring the stable operation of underground cables.

[0035] In a preferred embodiment of the present invention, to analyze the abnormal conditions of the monitoring currents in each monitoring section, it is necessary to construct an abnormal index of the monitoring current for each monitoring section, and the specific method is as follows: Extract the abnormal index of the current and the voltage fluctuation index of the external power grid in each monitoring section, and then perform a product calculation to obtain the correction amount of the abnormal index of the current in each monitoring section.

[0036] Perform a difference calculation between the abnormal index of the current in each monitoring section and the corresponding correction amount of the abnormal index of the current in each monitoring section to obtain the abnormal index of the monitoring current in each monitoring section.

[0037] S4. Identification of abnormal monitoring sections: Determine whether there are abnormal conditions in each monitoring section, and mark the monitoring sections determined to have abnormal conditions as abnormal monitoring sections.

[0038] In a preferred embodiment of the present invention, the specific method for determining whether there are abnormal conditions in each monitoring section is as follows: Extract the abnormal index of the monitoring current in each monitoring section, and then compare it with the preset threshold of the abnormal index of the monitoring current. If the abnormal index of the monitoring current in a certain monitoring section is greater than the threshold of the abnormal index of the monitoring current, it is determined that there are abnormal conditions in this monitoring section; otherwise, it is determined that there are no abnormal conditions in this monitoring section.

[0039] Exemplarily, the threshold of the abnormal index of the monitoring current is .

[0040] It should be noted that the setting basis of the threshold of the abnormal index of the monitoring current: First, based on the rated parameters of the cable, the rated current of the cable is determined by the conductor material, cross-sectional area, insulation heat resistance level, etc., so as to define the safe range of the current carried by the cable and prevent problems such as overheating and insulation damage caused by overload. Second, historical operation data is crucial. By analyzing the past normal operation current fluctuations and changes under different loads, and at the same time referring to the abnormal current values that have occurred, the threshold can be made to fit the actual situation and accurately capture potential dangers. Third, fully consider the influence of environmental factors. Buried cables are affected by underground temperature, humidity, soil thermal conductivity, etc. High temperature and high humidity change the resistance and heat dissipation, so the threshold needs to be adjusted as required to ensure that the current adapts to the environment. Fourth, according to the system safety margin requirements, in places with extremely high requirements for power reliability such as hospitals and data centers, the threshold setting is more strict.

[0041] S5. Setting of the automatic scanning device: Set an automatic detection device, and a self-moving structure, a temperature sensor, a magnetic field intensity sensor, and a ground penetrating radar are arranged on the automatic detection device.

[0042] S6. Acquisition of monitoring cable data: Use the automatic detection device to scan each abnormal monitoring section to obtain the monitoring cable data of each abnormal monitoring section, specifically including temperature, magnetic field intensity, and underground structure images.

[0043] S7. Analysis of monitoring cable data: Based on the underground structure images of each abnormal monitoring section, analyze the cable deformation conditions of each abnormal monitoring section, and then analyze the abnormal conditions of the monitoring cable data in each abnormal monitoring section.

[0044] In a preferred embodiment of the present invention, to analyze the cable deformation conditions of each abnormal monitoring section, it is necessary to construct a cable deformation index for each abnormal monitoring section. The specific method is as follows: Extract the underground structure images of each abnormal monitoring section, locate the underground cables in each abnormal monitoring section, and then arrange monitoring points for the underground cables in each abnormal monitoring section based on equal interval distances to obtain a number of monitoring point groups. The monitoring point group includes a first monitoring point and a second monitoring point.

[0045] It should be noted that please refer to Figure 2 As shown, the first monitoring point refers to the upper monitoring point corresponding to the cable in the vertical direction, and the second monitoring point refers to the lower monitoring point corresponding to the cable in the vertical direction.

[0046] Obtain the distance between the first monitoring point and the second monitoring point corresponding to each monitoring point group, and record it as the monitoring spacing corresponding to each monitoring point group.

[0047] Calculate the average monitoring spacing of each abnormal monitoring section by averaging the monitoring spacings corresponding to each monitoring point group of each abnormal monitoring section. Then, compare the monitoring spacings corresponding to each monitoring point group of each abnormal monitoring section with the average monitoring spacing of the corresponding abnormal monitoring section to analyze and obtain the spacing abnormality degree corresponding to each monitoring point group of each abnormal monitoring section. Then, make a comparison and select the maximum spacing abnormality degree as the cable deformation index of each abnormal monitoring section.

[0048] It should be supplemented that the specific method for analyzing and obtaining the spacing abnormality degree corresponding to each monitoring point group of each abnormal monitoring section is as follows: Calculate the difference between the monitoring spacing corresponding to each monitoring point group of each abnormal monitoring section and the average monitoring spacing of the corresponding abnormal monitoring section, and then take the absolute value to obtain the monitoring spacing deviation amount corresponding to each monitoring point group of each abnormal monitoring section. Then, calculate the ratio with the average monitoring spacing of the corresponding abnormal monitoring section to obtain the spacing abnormality degree corresponding to each monitoring point group of each abnormal monitoring section.

[0049] It should be noted that the maximum spacing anomaly is selected as the cable deformation index for each abnormal monitoring section because it provides a visual indicator of the degree of cable deformation. Under normal circumstances, buried cables maintain relatively stable spacing between their internal components and between the cable and surrounding fixed structures (such as the inner wall of a pipe). When a cable deforms, such as by compression, stretching, or twisting, these spacings change. The maximum spacing anomaly directly reflects the most severe cable deformation by quantifying the maximum value of this spacing change. For example, if a cable is squeezed by a heavy external object, causing the spacing between the insulation and the conductor at a specific location to increase or decrease significantly compared to normal, the maximum spacing anomaly can effectively capture this extreme change, allowing us to clearly understand whether the degree of cable deformation has exceeded the normal range.

[0050] It's important to clarify the reason for analyzing cable deformation index: From a safety perspective, excessive deformation of buried cables can damage the internal conductors, insulation, and shielding structures. Insulation rupture, exposing the conductors, significantly increases the risk of leakage and short circuits. Analyzing the deformation index can proactively detect potential hazards and allow for timely maintenance to prevent accidents like electric shock and fire. Regarding performance maintenance, cable performance is closely linked to its physical form. Excessive deformation can disrupt the electric field distribution, alter electrical parameters, and affect signal or power transmission. Continuous monitoring ensures transmission efficiency and quality. Regarding lifespan assessment, deformation is a key factor affecting cable lifespan. Repeated deformation accelerates insulation aging. Analyzing the deformation index can construct a lifespan model, allowing for rational replacement planning and reducing maintenance costs. Regarding fault prevention, many cable failures show signs of deformation before they occur. Monitoring the deformation index can detect anomalies, facilitate early prevention, and reduce the likelihood of failure.

[0051] In a preferred embodiment of the present invention, the analysis of the abnormality of the monitoring cable data of each abnormal monitoring section requires the construction of the monitoring cable data abnormality index of each abnormal monitoring section, which is specifically done as follows: extract the cable deformation index of each abnormal monitoring section, recorded as ,in Indicates the number of the abnormal monitoring section, , Indicates the number of abnormal monitoring segments.

[0052] Extract the temperature and magnetic field intensity of each abnormal monitoring section, and analyze the physical data anomaly index of each abnormal monitoring section .

[0053] It should be noted that the reasons for selecting temperature and magnetic field intensity as the influencing factors of the physical data anomaly index for each anomaly monitoring section for monitoring are as follows: On the one hand, determined by the characteristics of the cable itself, the current in the operating cable generates heat. In case of faults such as local short circuits or poor contacts, the temperature will rise sharply, which becomes an important basis for judging whether there is a fault and its severity. At the same time, the magnetic field intensity generated by energization is related to the current and structure. When the internal part is damaged or the line changes, the magnetic field changes accordingly, accurately reflecting the operating state of the cable. On the other hand, environmental factors cannot be ignored. The underground temperature fluctuates throughout the year. High temperatures accelerate the aging of the insulation layer, and low temperatures cause poor flexibility. Monitoring the temperature helps for timely protection. Moreover, there are many electromagnetic field sources around, and external magnetic fields interfere with the cable's own magnetic field. Monitoring the magnetic field intensity can detect internal and external problems and ensure stable operation. Furthermore, based on the urgent need for fault diagnosis and early warning, temperature and magnetic field anomalies are often precursors to faults. Capturing early changes and establishing modeling correlations can provide early warnings, seize the opportunity for repair, reduce power outage losses, and escort the safety of the power system.

[0054] Using the formula Analyze and obtain the monitoring cable data anomaly index for each anomaly monitoring section , where respectively represent the influence weight factors corresponding to the cable deformation index and the physical data anomaly index.

[0055] Exemplarily, .

[0056] It should be noted that when analyzing the monitoring cable data anomaly index for each anomaly monitoring section, the setting basis of the influence weight factors corresponding to the cable deformation index and the physical data anomaly index is as follows: On the one hand, considering the degree of association with fault risks, if past experience shows that a certain type of anomaly has a high probability of causing a fault, such as cable deformation in a geologically active area is likely to cause a short circuit, or temperature anomalies in a high-temperature environment often cause insulation aging faults, the corresponding index weight will be increased. On the other hand, based on the severity of the fault consequences, severe cable deformation can lead to a large-scale power outage. Compared with a slightly higher temperature that only slightly reduces the transmission efficiency, the former has a higher weight due to more serious consequences. Moreover, the sensitivity of data changes cannot be ignored. For example, for high-precision cables, minor deformations affect performance, and its deformation index is sensitive to faults, so the weight is increased accordingly. However, the temperature needs to change significantly to actually affect the cable, and the weights are different. In addition, the accuracy and reliability of the monitoring data also play a key role. For indexes with high equipment accuracy and reliable data, such as accurate cable deformation monitoring, the weight can be increased. Conversely, the weight of data that is easily interfered with and inaccurate is reduced.

[0057] In a preferred embodiment of the present invention, the specific process of analyzing and obtaining the physical data anomaly index for each anomaly monitoring section is as follows: Extract the temperature and magnetic field intensity of each anomaly monitoring section, and record them as , .

[0058] Using the formula Analyze to obtain the physical data anomaly index of each abnormal monitoring section , where represents the preset reference temperature, represents the preset reference magnetic field strength, represents the allowable difference between the preset reference temperature and the temperature, represents the allowable difference between the preset reference magnetic field strength and the magnetic field strength, respectively represent the influence weight factors corresponding to the temperature and the magnetic field strength.

[0059] Exemplarily, .

[0060] It should be noted that when analyzing the physical data anomaly index of each abnormal monitoring section, the setting basis of the influence weight factors corresponding to the temperature and the magnetic field strength is as follows: First, from the perspective of the tightness of the fault association, too high temperature easily deteriorates the performance of the cable insulation material, leading to short - circuit leakage. If such temperature anomalies in a certain area cause frequent failures, its weight should be increased; in terms of the magnetic field strength, when there are internal anomalies in the cable or external interference, it will change. For areas with a high failure frequency, the corresponding weight should also be increased. Second, consider the influence of the change rate and range. A sharp rise or a change beyond the range of the temperature will cause an increase in thermal stress and damage to the mechanical properties; a rapid change in the magnetic field strength will cause induced current and interference signals, and the weights are set according to the degree of influence on the cable. Third, the monitoring accuracy and reliability are very important. If the temperature monitoring is accurate and the data is reliable, the weight can be increased, otherwise it will be reduced if it is interfered and inaccurate; the same is true for the magnetic field strength, the weight will increase if the monitoring is good, and it will be adjusted if it is easily interfered.

[0061] S8. Identification of the abnormal cable position: Based on the abnormal situation of the monitoring cable data of each abnormal monitoring section, determine whether there is a fault point in each abnormal monitoring section. If there is, further locate the fault point.

[0062] In a preferred embodiment of the present invention, the specific method for determining whether there is a fault point in each abnormal monitoring section is as follows: Extract the monitoring cable data anomaly index of each abnormal monitoring section, and then compare it with the preset monitoring cable data anomaly index threshold. If the monitoring cable data anomaly index of an abnormal monitoring section is greater than the monitoring cable data anomaly index threshold, it is determined that there is a fault point in this abnormal monitoring section; otherwise, it is determined that there is no fault point in this abnormal monitoring section.

[0063] Exemplarily, the monitoring cable data anomaly index threshold is .

[0064] In a preferred embodiment of the present invention, the specific method for further locating the fault point is as follows: Use an automatic detection device to scan each abnormal monitoring section, and mark the position where the temperature is greater than the preset temperature threshold as the fault point.

[0065] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A method for monitoring and analyzing cable faults based on communication power distribution, characterized in that Including: S1. Divide the monitoring sections of the target cable to obtain several monitoring sections; S2. Set current transformers at the junctions of each monitoring section to obtain the reference current and monitoring current of each monitoring section; S3. Analyze the current anomaly situation of each monitoring section based on the preset reference current and monitoring current, and simultaneously analyze the external grid voltage fluctuation situation of each monitoring section based on the external grid voltage, and then analyze the monitoring current anomaly situation of each monitoring section; S4. Identify the anomaly situation of the monitoring section and record it as an abnormal monitoring section; S5. Set an automatic detection device configured with a self-moving structure, a temperature sensor, a magnetic field intensity sensor, and a ground penetrating radar; S6. Scan each abnormal monitoring section through the automatic detection device to obtain the monitoring cable data of temperature, magnetic field intensity, and underground structure image; S7. Analyze the cable deformation situation based on the underground structure image, and then analyze the abnormal situation of the monitoring cable data; S8. Judge whether there is a fault point in each abnormal monitoring section based on the abnormal situation of the monitoring cable data. If so, locate the fault point.

2. The cable fault monitoring and analysis method based on communication power distribution according to claim 1, characterized in that: The analysis of the current anomaly situation of each monitoring section requires constructing the current anomaly index of each monitoring section. The specific method is as follows: Extract the reference current and monitoring current of each monitoring section during the monitoring period, and then perform data selection on the reference current and monitoring current of each monitoring section based on the preset equal interval duration to obtain the reference currents and monitoring currents of each monitoring section; Calculate the average value of the reference currents and monitoring currents of each monitoring section respectively to obtain the average reference current and average monitoring current of each monitoring section; Calculate the difference between the average reference current and average monitoring current of each monitoring section, take the absolute value to obtain the monitoring current deviation amount of each monitoring section, and then calculate the ratio with the corresponding reference current of each monitoring section to obtain the current anomaly index of each monitoring section.

3. The cable fault monitoring and analysis method based on communication power distribution according to claim 2, wherein: The analysis of the external grid voltage fluctuation situation of each monitoring section requires constructing the external grid voltage fluctuation index of each monitoring section. The specific method is as follows: Obtain the external grid voltage of each monitoring section during the monitoring period, and then draw the external grid voltage fluctuation curve of each monitoring section with time as the abscissa and voltage as the ordinate. Uniformly distribute points on each curve to obtain several monitoring points, and record the ordinate of the external grid voltage fluctuation curve of each monitoring section corresponding to each monitoring point as the monitoring voltage of each monitoring section corresponding to each monitoring point; Calculate the average value of the monitoring voltages of each monitoring section corresponding to each monitoring point to obtain the average voltage of each monitoring section. Then calculate the difference between the monitoring voltage of each monitoring section corresponding to each monitoring point and the corresponding average voltage of each monitoring section, take the absolute value to obtain the monitoring voltage deviation amount of each monitoring section corresponding to each monitoring point, and then calculate the ratio with the corresponding average voltage of each monitoring section to obtain the monitoring voltage deviation degree of each monitoring section corresponding to each monitoring point; Calculate the average value of the monitoring voltage deviation degrees of each monitoring section corresponding to each monitoring point to obtain the external grid voltage fluctuation index of each monitoring section.

4. The cable fault monitoring and analysis method based on communication power distribution according to claim 3, characterized in that: To analyze the abnormal conditions of the monitoring current in each monitoring section, it is necessary to construct the monitoring current abnormal index for each monitoring section, and the specific method is as follows: Extract the current abnormal index and the external power grid voltage fluctuation index of each monitoring section, and then perform a product calculation to obtain the correction amount of the current abnormal index for each monitoring section; Perform a difference calculation between the current abnormal index of each monitoring section and the corresponding correction amount of the current abnormal index of each monitoring section to obtain the monitoring current abnormal index for each monitoring section.

5. The cable fault monitoring and analysis method based on communication power distribution according to claim 4, characterized in that: The specific method for judging whether there are abnormal conditions in each monitoring section is as follows: Extract the monitoring current abnormal index of each monitoring section, and then compare it with the pre-set monitoring current abnormal index threshold. If the monitoring current abnormal index of a certain monitoring section is greater than the monitoring current abnormal index threshold, it is judged that there is an abnormal condition in this monitoring section; otherwise, it is judged that there is no abnormal condition in this monitoring section.

6. The cable fault monitoring and analysis method based on communication power distribution according to claim 1, wherein: To analyze the cable deformation condition of each abnormal monitoring section, it is necessary to construct the cable deformation index for each abnormal monitoring section, and the specific method is as follows: Extract the underground structure images of each abnormal monitoring section, locate the underground cables in each abnormal monitoring section, and then arrange monitoring points for the underground cables in each abnormal monitoring section based on equal interval distances to obtain a number of monitoring point groups. The monitoring point group includes a first monitoring point and a second monitoring point; Obtain the distance between the corresponding first monitoring point and the second monitoring point of each monitoring point group, and record it as the monitoring distance corresponding to each monitoring point group; Perform an average calculation on the monitoring distances corresponding to each monitoring point group in each abnormal monitoring section to obtain the average monitoring distance for each abnormal monitoring section. Then, compare the monitoring distances corresponding to each monitoring point group in each abnormal monitoring section with the average monitoring distance corresponding to each abnormal monitoring section, analyze to obtain the distance abnormality degree corresponding to each monitoring point group in each abnormal monitoring section, and then compare them to select the maximum distance abnormality degree as the cable deformation index for each abnormal monitoring section.

7. The method for monitoring and analyzing cable faults based on communication power distribution according to claim 6, wherein: To analyze the abnormal conditions of the monitoring cable data in each abnormal monitoring section, it is necessary to construct the monitoring cable data abnormal index for each abnormal monitoring section, and the specific method is as follows: Extract the cable deformation index of each abnormal monitoring section, denoted as , where represents the number of the abnormal monitoring section, , indicating the number of abnormal monitoring sections; Extract the temperature and magnetic field intensity of each abnormal monitoring section, and analyze to obtain the physical data anomaly index of each abnormal monitoring section ; Using the formula Analyze to obtain the monitoring cable data anomaly index for each abnormal monitoring section , where respectively represent the influence weight factors corresponding to the cable deformation index and the physical data anomaly index 8. The cable fault monitoring and analysis method based on communication power distribution according to claim 6, characterized in that: The specific process of analyzing and obtaining the physical data abnormal index for each abnormal monitoring section is as follows: Extract the temperature and magnetic field strength of each abnormal monitoring section, and denote them as and ; Using the formula Analyze to obtain the physical data anomaly index of each abnormal monitoring section , where represents the pre-set reference temperature, represents the pre-set reference magnetic field strength, represents the permitted difference between the pre-set reference temperature and the temperature, represents the permitted difference between the pre-set reference magnetic field strength and the magnetic field strength, respectively represent the influence weight factors corresponding to the temperature and the magnetic field strength.

9. A method for monitoring and analyzing cable faults based on communication power distribution according to claim 8, characterized in that: The specific method for judging whether there is a fault point in each abnormal monitoring section is as follows: Extract the monitoring cable data abnormal index of each abnormal monitoring section, and then compare it with the pre-set monitoring cable data abnormal index threshold. If the monitoring cable data abnormal index of a certain abnormal monitoring section is greater than the monitoring cable data abnormal index threshold, it is judged that there is a fault point in this abnormal monitoring section; otherwise, it is judged that there is no fault point in this abnormal monitoring section.

10. A cable fault monitoring and analysis method based on communication power distribution according to claim 1, characterized in that: The specific method for fault point location is as follows: Use an automatic detection device to scan each abnormal monitoring section, and record the position where the temperature is greater than the preset temperature threshold as the fault point.

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