A cable fault monitoring and analysis method based on communication power distribution

Abstract

The present invention belongs to the technical field of communication and power distribution cable fault monitoring, and discloses a cable fault monitoring and analysis method based on communication and power distribution. When analyzing abnormal conditions of the monitoring current, the present invention analyzes the voltage fluctuation of the external power grid and then performs an impact analysis of the abnormal conditions of the monitoring current. This analysis method improves the accuracy of fault judgment, helps to locate the fault point more accurately, optimizes the effect of fault location, and can timely discover potential hidden dangers of communication and power distribution cable faults, prevent the expansion of faults, and ensure the safe and stable operation of the communication and power distribution system. When analyzing abnormal conditions of the monitoring communication and power distribution cable data, the present invention conducts a comprehensive analysis of the deformation conditions and physical data abnormalities of the communication and distribution cables in each abnormal monitoring section. This analysis method can achieve accurate diagnosis of communication and distribution cable faults.

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] Communications and power distribution cables are often buried underground, transmitting power or signals. These cables primarily consist of a conductor, insulation, shielding, and sheath. These cables effectively protect against damage from aboveground environmental factors (such as inclement weather and mechanical collisions), while also reducing the amount of floor space occupied, contributing to a cleaner and more aesthetically pleasing urban landscape. However, the characteristics of buried cables make fault location difficult and limit the applicability of equipment during fault monitoring. Therefore, 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 with publication number CN105353266B is for a cable fault monitoring method using an underground cable fault monitoring system, which includes: a robot, a cable marking pile and a host computer. The cable marking pile 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 sensing device. The GPRS wireless transceiver module is communicatively connected to the host computer; the robot also includes a wireless receiving device for receiving electric energy from 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 sensing device; the host computer includes a map for displaying the location of the cable.

[0004] Another Chinese invention patent application, publication number CN112363008A, covers a method and system for comprehensively monitoring cable faults and operating status. This system collects the amplitude and phase information of the metal sheath current at different frequencies to calculate the cable fault point and analyze whether the cable has a fault. Based on the determined fault, the fault type is determined and the cable fault is located. The acquired cable fault point data, fault type, and fault location information are sent to the backend. This invention provides a method for determining the cable fault type by monitoring the cable metal sheath current, overcoming the shortcomings of traditional cable metal sheath current monitoring devices, which only measure current and cannot determine 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 location identification: Based on the abnormal situation of the monitoring cable data of each abnormal monitoring section, it is determined whether there is a fault point in each abnormal monitoring section. If there is, the fault point is further located.

[0015] Compared with the prior art, the present invention has the following beneficial effects: (1) When analyzing abnormal current monitoring conditions, the present invention analyzes the voltage fluctuation of the external power grid and then analyzes the impact of abnormal current monitoring conditions. This analysis method improves the accuracy of fault judgment, helps to locate the fault point more accurately, optimizes the effect of fault location, and can promptly discover 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 abnormal cable data, the present invention conducts a comprehensive analysis of cable deformation and physical data anomalies in each abnormal monitoring section. This analysis method can achieve accurate diagnosis of cable faults. The combination of multiple sources can comprehensively consider and accurately identify whether the root cause of the fault is an internal electrical fault or external mechanical damage, greatly improving the accuracy of diagnosis. This comprehensive perspective overcomes the limitation of focusing on a single characteristic, fully outlines the real-time status of the cable, and provides a solid basis for formulating scientific and reasonable maintenance and replacement strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 Schematic diagram of the implementation of the method steps of the present invention.

[0019] Figure 2 This is a schematic diagram of an embodiment of 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 DESCRIPTION

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0022] See also Figure 1 As shown, the present invention provides 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 a number of monitoring sections.

[0023] It should be explained that the reasons for dividing the monitoring sections are: first, to achieve accurate fault positioning. The complex underground environment makes it difficult to find a fault without dividing the sections. Clear sections can greatly narrow the scope of investigation and quickly locate the approximate area of ​​the fault. Second, it is convenient to concentrate resources for optimized monitoring. Different sections have different geological conditions and surrounding electromagnetic interference sources. After division, detection equipment can be configured and monitoring parameters can be adjusted according to the characteristics of each section to make monitoring more efficient. Third, it is conducive to arranging maintenance and inspection work. Clear section division allows the maintenance team to plan inspection routes in an orderly manner, arrange manpower and material resources reasonably, discover and deal with potential problems in a timely manner, and ensure the long-term and stable operation of underground cables.

[0024] 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.

[0025] It should be noted that a current transformer is connected to both ends of each monitoring section, and the current transformer is divided into a reference current transformer and a monitoring current transformer with the current direction as the reference direction. The reference current transformer of each monitoring section is used to detect the reference current of the corresponding monitoring section, and the monitoring current transformer of each monitoring section is used to detect the monitoring current of the corresponding monitoring section. In theory, the reference current and monitoring current of each monitoring section should be consistent.

[0026] 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.

[0027] In a preferred embodiment of the present invention, the analysis of the current anomaly of each monitoring section requires the construction of a current anomaly index for each monitoring section, and the specific method is as follows: extracting the reference current and monitoring current of each monitoring section within the monitoring period, and then performing data selection on the reference current and monitoring current of each monitoring section based on a pre-set equal interval time length to obtain the reference current and monitoring current of each monitoring section.

[0028] The reference currents and monitoring currents of each monitoring section are averaged to obtain the average reference current and average monitoring current of each monitoring section.

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

[0030] It's important to clarify the reasons for analyzing the current anomaly index in each monitoring section: First, it serves as a fault warning. Given the complex operating environment of buried cables, where insulation is susceptible to aging and damage from external forces, continuous current monitoring can indicate an impending fault if the anomaly index exceeds a threshold, preempting repairs and preventing widespread power outages. Second, it helps pinpoint faults. When the system as a whole exhibits an anomaly, current changes vary across different sections. By comparing the anomaly index and combining it with the line layout, the faulty section can be identified, reducing troubleshooting time.

[0031] In a preferred embodiment of the present invention, the analysis of the external grid voltage fluctuation of each monitoring section requires the construction of an external grid voltage fluctuation index for each monitoring section, and the specific method is as follows: the external grid voltage of each monitoring section within the monitoring period is obtained, and then the external grid voltage fluctuation curve of each monitoring section is plotted with time as the horizontal coordinate and voltage as the vertical coordinate, each curve is evenly distributed to obtain a number of monitoring points, and the vertical coordinate of the external grid voltage fluctuation curve of each monitoring section corresponding to each monitoring point is marked as the monitoring voltage of each monitoring section corresponding to each monitoring point.

[0032] The monitoring voltages of each monitoring point corresponding to each monitoring section are averaged to obtain the average voltage of each monitoring section. The monitoring voltages of each monitoring point corresponding to each monitoring section are then differenced with the average voltage of each monitoring section to obtain the absolute value to obtain the monitoring voltage deviation of each monitoring point corresponding to each monitoring section. The monitoring voltage deviation of each monitoring point corresponding to each monitoring section is then ratio-calculated with the average voltage of each monitoring section to obtain the monitoring voltage deviation degree of each monitoring point corresponding to each monitoring section.

[0033] The monitoring voltage deviation of each monitoring point in each monitoring section is averaged and calculated to obtain the external grid voltage fluctuation index of each monitoring section.

[0034] It should be noted that the reason for analyzing the external grid voltage fluctuation index in each monitoring section and using it as a factor to correct abnormal monitoring current in each monitoring section is: on the one hand, according to Ohm's law, the resistance of underground cables is relatively fixed, and grid voltage fluctuations inevitably lead to changes in current, and the two are closely related. On the other hand, judging cable faults based solely on current anomalies is prone to misjudgment. For example, an increase in monitored current may be caused by a momentary increase in grid voltage, not a cable fault. Taking the voltage fluctuation index into consideration can accurately identify the root cause of current anomalies, greatly improve the accuracy of fault diagnosis, optimize the overall performance of the cable monitoring system, and lay a solid foundation for the stable operation of underground cables.

[0035] In a preferred embodiment of the present invention, the analysis of the abnormal monitoring current of each monitoring section requires the construction of a monitoring current abnormality index for each monitoring section, and the specific method is as follows: extract the current abnormality index of each monitoring section and the external power grid voltage fluctuation index, and then perform multiplication calculation to obtain the current abnormality index correction amount of each monitoring section.

[0036] The monitoring current anomaly index of each monitoring section is obtained by performing a difference calculation between the current anomaly index of each monitoring section and the corresponding current anomaly index correction amount of each monitoring section.

[0037] 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.

[0038] In a preferred embodiment of the present invention, the specific method of judging whether there is an abnormal situation in each monitoring section is as follows: extract the monitoring current abnormality index of each monitoring section, and then compare it with the pre-set monitoring current abnormality index threshold. If the monitoring current abnormality index of a monitoring section is greater than the monitoring current abnormality index threshold, it is judged that there is an abnormal situation in the monitoring section; otherwise, it is judged that there is no abnormal situation in the monitoring section.

[0039] For example, the monitoring current abnormality index threshold is .

[0040] It should be noted that the threshold for monitoring the abnormal current index is set based on the following: First, it is based on the rated parameters of the cable. The rated current of the cable is determined by the conductor material, cross-sectional area, and insulation heat resistance level. This defines the safe range of the cable's carrying current to prevent problems such as overheating and insulation damage caused by overload. Second, historical operating data is crucial. By analyzing past normal operating current fluctuations and changes under different loads, and referring to abnormal current values ​​that have occurred, the threshold is tailored to reality and potential dangers are accurately captured. Third, the impact of environmental factors is fully considered. Underground cables are affected by underground temperature, humidity, soil thermal conductivity, etc. High temperature and high humidity cause changes in resistance and heat dissipation, prompting the threshold to be adjusted as needed to ensure that the current adapts to the environment. Fourth, based on the system safety margin requirements, in places with extremely high power reliability requirements such as hospitals and data centers, the threshold setting is more stringent.

[0041] 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.

[0042] 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.

[0043] 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.

[0044] In a preferred embodiment of the present invention, the analysis of the cable deformation conditions of each abnormal monitoring section requires the construction of a cable deformation index for each abnormal monitoring section, and the specific method is as follows: extracting the underground structure image of each abnormal monitoring section, locating the underground cables of each abnormal monitoring section, and then arranging monitoring points for the underground cables of each abnormal monitoring section based on equal intervals to obtain a number of monitoring point groups, wherein the monitoring point groups include a first monitoring point and a second monitoring point.

[0045] For clarification, 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] The distance between the first monitoring point and the second monitoring point corresponding to each monitoring point group is obtained, and recorded as the monitoring interval corresponding to each monitoring point group.

[0047] The monitoring spacing corresponding to each monitoring point group in each abnormal monitoring section is averaged and calculated to obtain the average monitoring spacing of each abnormal monitoring section. The monitoring spacing corresponding to each monitoring point group in each abnormal monitoring section is then compared with the average monitoring spacing of the corresponding abnormal monitoring section. The spacing anomaly corresponding to each monitoring point group in each abnormal monitoring section is analyzed and obtained. The maximum spacing anomaly is then compared and selected as the cable deformation index of each abnormal monitoring section.

[0048] It should be added that the specific method of obtaining the spacing abnormality corresponding to each monitoring point group in each abnormal monitoring section through analysis is as follows: the monitoring spacing corresponding to each monitoring point group in each abnormal monitoring section is calculated by difference with the average monitoring spacing of each abnormal monitoring section, and then the absolute value is taken to obtain the monitoring spacing deviation corresponding to each monitoring point group in each abnormal monitoring section, and then the ratio is calculated with the average monitoring spacing of each abnormal monitoring section to obtain the spacing abnormality corresponding to each monitoring point group in 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's important to note that temperature and magnetic field strength are selected as factors influencing the physical data anomaly index for each anomaly monitoring section. Firstly, due to the inherent characteristics of the cable, the current generated during operation generates heat. Faults such as local short circuits or poor contact can cause a sudden temperature rise, making them crucial for determining the presence and severity of the fault. Furthermore, the magnetic field strength generated by power flow is related to the current and structure. Internal damage or wiring changes can cause the magnetic field to change, accurately reflecting the cable's operating status. Secondly, environmental factors cannot be ignored. Underground temperatures fluctuate seasonally. High temperatures accelerate insulation aging, while low temperatures reduce flexibility. Monitoring temperature helps ensure timely protection. Furthermore, the numerous electromagnetic field sources in the surrounding area can interfere with the cable's own magnetic field. Monitoring magnetic field strength can help identify internal and external issues and ensure stable operation. Furthermore, given the critical need for fault diagnosis and early warning, temperature and magnetic field anomalies are often precursors to faults. Capturing early changes and modeling correlations can provide early warnings, enabling proactive repairs, minimizing outage losses, and safeguarding power system security.

[0054] Using the formula Analyze and obtain the abnormal index of monitoring cable data in each abnormal monitoring section ,in Respectively represent the influence weight factors corresponding to the cable deformation index and the physical data anomaly index.

[0055] For example, .

[0056] It should be noted that when analyzing the monitoring cable data anomaly index of each abnormal monitoring section, the setting basis of the influence weight factors corresponding to the cable deformation index and the physical data anomaly index is: on the one hand, considering the degree of correlation between 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 geologically active areas easily causing short circuits, or temperature anomalies in high temperature environments often causing insulation aging failures, the corresponding index weight will be increased; on the other hand, based on the severity of the consequences of the fault, severe cable deformation can cause large-scale power outages, while a slightly higher temperature only slightly reduces transmission efficiency. The former has a higher weight because the consequences are more serious; furthermore, the sensitivity of data changes cannot be ignored. For example, a small deformation of a high-precision cable will affect its performance, and its deformation index is sensitive to faults, and the weight is increased accordingly. However, a large temperature change is required to actually affect the cable, and the weight is different; in addition, the accuracy and reliability of the monitoring data also play a key role. The weight of the index with high equipment precision and reliable data, such as accurate cable deformation monitoring, can be increased, while the weight of data that is susceptible to interference 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 of each abnormal monitoring section is as follows: extract the temperature and magnetic field intensity of each abnormal monitoring section, and record them as 、 .

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

[0059] For example, .

[0060] It's important to note that when analyzing the physical data anomaly index for each abnormal monitoring section, the weighting factors for temperature and magnetic field strength are determined based on the following: First, considering the closeness of fault correlation, excessively high temperatures can easily degrade the insulation of cable materials, leading to short circuits and leakage. If such temperature anomalies in a particular area lead to frequent faults, the weight should be increased. Regarding magnetic field strength, this can change due to internal cable anomalies or external interference, so areas with high fault frequency should also receive a higher weight. Secondly, the impact of rate and range of change is considered. Rapid temperature increases and out-of-range variations can increase thermal stress and impair mechanical properties. Rapid changes in magnetic field strength can induce induced currents and interference signals. Weighting is determined based on the degree of impact on the cable. Furthermore, monitoring accuracy and reliability are crucial. If temperature monitoring is accurate and the data is reliable, the weight can be increased; if it is inaccurate due to interference, the weight can be reduced. Similarly, for magnetic field strength, the weight should be increased if the monitoring is good, but adjusted if it is susceptible to interference.

[0061] S8. Abnormal cable location identification: Based on the abnormal situation of the monitoring cable data of each abnormal monitoring section, it is determined whether there is a fault point in each abnormal monitoring section. If there is, the fault point is further located.

[0062] In a preferred embodiment of the present invention, the specific method of judging whether there is a fault point in each abnormal monitoring section is as follows: extract the monitoring cable data abnormality index of each abnormal monitoring section, and then compare it with the pre-set monitoring cable data abnormality index threshold. If the monitoring cable data abnormality index of a certain abnormal monitoring section is greater than the monitoring cable data abnormality index threshold, it is judged that there is a fault point in the abnormal monitoring section; otherwise, it is judged that there is no fault point in the abnormal monitoring section.

[0063] For example, the abnormal index threshold of monitoring cable data is .

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

[0065] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. 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 scope of protection of the present invention.

Claims

1. A cable fault monitoring and analysis method based on communication power distribution, characterized in that: include: S1. Divide the target cable into monitoring sections to obtain a number of monitoring sections; S2. Setting a current transformer at the junction of each monitoring section to obtain the reference current and monitoring current of each monitoring section; S3. Analyze the current anomaly of each monitoring section based on the preset reference current and monitoring current, and simultaneously analyze the external grid voltage fluctuation of each monitoring section based on the external grid voltage, and then analyze the monitoring current anomaly of each monitoring section; S4, identifying abnormal conditions in the monitoring section and recording it as an abnormal monitoring section; S5. Setting an automatic detection device equipped with a self-moving structure, a temperature sensor, a magnetic field strength sensor, and a ground penetrating radar; S6. Scan each abnormal monitoring section through the automatic detection device to obtain monitoring cable data of temperature, magnetic field strength and underground structure image; S7. Analyze cable deformation based on underground structure images, and then analyze abnormalities in monitoring cable data; S8. Determine whether there is a fault point in each abnormal monitoring section based on the abnormality of the monitoring cable data, and locate the fault point if so; To analyze the cable deformation of each abnormal monitoring section, it is necessary to construct the cable deformation index of each abnormal monitoring section. The specific method is as follows: Extracting an underground structure image of each abnormal monitoring section, locating the underground cables of each abnormal monitoring section, and then arranging monitoring points for the underground cables of each abnormal monitoring section based on equal intervals to obtain a plurality of monitoring point groups, wherein the monitoring point groups include a first monitoring point and a second monitoring point; 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 interval corresponding to each monitoring point group; The monitoring spacing corresponding to each monitoring point group of each abnormal monitoring section is averaged and calculated to obtain the average monitoring spacing of each abnormal monitoring section. The monitoring spacing corresponding to each monitoring point group of each abnormal monitoring section is then compared with the average monitoring spacing of the corresponding abnormal monitoring section. The spacing abnormality corresponding to each monitoring point group of each abnormal monitoring section is analyzed and compared, and the maximum spacing abnormality is selected as the cable deformation index of each abnormal monitoring section. To analyze the abnormality of the monitoring cable data in each abnormal monitoring section, it is necessary to construct the monitoring cable data abnormality index of each abnormal monitoring section. The specific method is as follows: Extract the cable deformation index of each abnormal monitoring section and record it as ,in Indicates the number of the abnormal monitoring section, , Indicates the number of abnormal monitoring sections; Extract the temperature and magnetic field intensity of each abnormal monitoring section, and analyze the physical data anomaly index of each abnormal monitoring section ; Using the formula Analyze and obtain the abnormal index of monitoring cable data in each abnormal monitoring section ,in Respectively represent the impact weight factors corresponding to the cable deformation index and the physical data anomaly index; The specific process of analyzing and obtaining the physical data anomaly index of each abnormal monitoring section is as follows: Extract the temperature and magnetic field intensity of each abnormal monitoring section and record them as 、 ; Using the formula Analyze and obtain the physical data anomaly index of each abnormal monitoring section ,in Indicates the preset reference temperature. Indicates the preset reference magnetic field strength, Indicates the allowable difference between the preset reference temperature and the temperature. Indicates the allowable difference between the preset reference magnetic field strength and the magnetic field strength. Represent the influence weight factors corresponding to temperature and magnetic field strength respectively.

2. A cable fault monitoring and analysis method based on communication and power distribution according to claim 1, characterized in that: The analysis of the abnormal current situation in each monitoring section requires the construction of the abnormal current index of each monitoring section, and the specific method is as follows: Extracting the reference current and monitoring current of each monitoring section within the monitoring period, and then performing data selection on the reference current and monitoring current of each monitoring section based on a preset equal interval time to obtain each reference current and each monitoring current of each monitoring section; Calculate the average value of each reference current and each monitoring current of each monitoring section to obtain the average reference current and average monitoring current of each monitoring section; The difference between the average reference current and the average monitoring current of each monitoring section is calculated, and the absolute value is taken to obtain the monitoring current deviation of each monitoring section, and then the ratio is calculated with the corresponding reference current of each monitoring section to obtain the current anomaly index of each monitoring section.

3. A cable fault monitoring and analysis method based on communication and power distribution according to claim 2, characterized in that: The analysis of the external grid voltage fluctuation of each monitoring section requires constructing the external grid voltage fluctuation index of each monitoring section, and 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 horizontal axis and voltage as the vertical axis. Evenly distribute points on each curve to obtain a number of monitoring points. The vertical axis of the external grid voltage fluctuation curve of each monitoring section corresponding to each monitoring point is marked as the monitoring voltage of each monitoring section corresponding to each monitoring point. The monitoring voltages of each monitoring point corresponding to each monitoring section are averaged to obtain the average voltage of each monitoring section. The monitoring voltages of each monitoring point corresponding to each monitoring section are then subtracted from the average voltage of each monitoring section to obtain the absolute value of the monitoring voltage deviation of each monitoring point corresponding to each monitoring section. The monitoring voltage deviation of each monitoring point corresponding to each monitoring section is then calculated by ratio with the average voltage of each monitoring section to obtain the monitoring voltage deviation degree of each monitoring point corresponding to each monitoring section. The monitoring voltage deviation of each monitoring point in each monitoring section is averaged and calculated to obtain the external grid voltage fluctuation index of each monitoring section.

4. A cable fault monitoring and analysis method based on communication and power distribution according to claim 3, characterized in that: The analysis of the abnormality of the monitoring current in each monitoring section requires the construction of the abnormality index of the monitoring current in each monitoring section, and the specific method is as follows: Extract the current anomaly index and the external grid voltage fluctuation index of each monitoring section, and then perform product calculation to obtain the current anomaly index correction value of each monitoring section; The monitoring current anomaly index of each monitoring section is obtained by performing a difference calculation between the current anomaly index of each monitoring section and the corresponding current anomaly index correction amount of each monitoring section.

5. The cable fault monitoring and analysis method based on communication and power distribution according to claim 4, characterized in that: The specific methods for determining whether there are abnormal conditions in each monitoring section are as follows: The monitoring current anomaly index of each monitoring section is extracted and then compared with the pre-set monitoring current anomaly index threshold. If the monitoring current anomaly index of a monitoring section is greater than the monitoring current anomaly index threshold, it is judged that there is an abnormality in the monitoring section. Otherwise, it is judged that there is no abnormality in the monitoring section.

6. The cable fault monitoring and analysis method based on communication and power distribution according to claim 1, characterized in that: The specific method of determining whether there is a fault point in each abnormal monitoring section is as follows: The monitoring cable data anomaly index of each abnormal monitoring section is extracted and then compared with the pre-set 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 judged that there is a fault point in the abnormal monitoring section. Otherwise, it is judged that there is no fault point in the abnormal monitoring section.

7. The cable fault monitoring and analysis method based on communication and power distribution according to claim 1, characterized in that: The specific method of locating the fault point is as follows: The automatic detection device is used to scan each abnormal monitoring section, and the location where the temperature is greater than the preset temperature threshold is recorded as the fault point.

Images