Intelligent inspection method and system for power distribution communication network

Abstract

The present invention discloses an intelligent inspection method and system for a power distribution communication network, which relates to the field of distribution network inspection technology. By comparing the real-time detection data of the optical fiber link and the completed project image, the problem area in the optical fiber link is accurately located, reducing the probability of misjudgment and missed judgment; at the same time, combined with image recognition technology and flow monitoring means, the operation and maintenance efficiency and quality are improved in all directions. Among them, the image recognition technology analyzes the optical fiber end face image in the optical junction box to obtain a fiber core status table, and then performs a two-level correction on the topological structure of the optical fiber link based on the fiber core status table and the flow monitoring means, fully considering the load difference and reducing path redundancy. The use of the embodiment of the present invention can significantly improve the utilization rate of network resources, effectively assist the operation and maintenance team to formulate a more scientific and reasonable operation and maintenance strategy, and ensure the stable and efficient operation of the power distribution communication network.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network inspection, and in particular to an intelligent inspection method and system for a distribution communication network. Background Art

[0002] As the nerve center of power system operation, the stability and reliability of the distribution communication network are crucial to ensuring power supply. With the advancement of smart grid construction, the complexity and scale of communication networks are constantly expanding.

[0003] Existing inspection methods for distribution communication networks mostly rely on manual inspections or simple automated tools, which are generally inefficient and have incomplete coverage. Especially when faced with the increasing complexity of ring network structures and dynamic adjustments to optical fiber resources, potential hidden dangers are often unable to be discovered in a timely manner, making it difficult to meet the needs of efficient and accurate operation and maintenance. Summary of the Invention

[0004] The purpose of the embodiments of the present invention is to provide an intelligent inspection method and system for the distribution communication network, which can accurately locate problem areas in the optical fiber link and reduce the probability of misjudgment and missed judgment; at the same time, combined with image recognition technology and traffic monitoring means, it can significantly improve the utilization rate of network resources, effectively assist the operation and maintenance team to formulate more scientific and reasonable operation and maintenance strategies, comprehensively improve the operation and maintenance efficiency and quality, and ensure the stable and efficient operation of the distribution communication network.

[0005] An embodiment of the present invention provides an intelligent inspection method for a power distribution communication network, comprising:

[0006] Comparing the real-time detection data of the optical fiber link with the completed image of the project to obtain abnormal attenuation points, and determining abnormal routing sections based on the abnormal attenuation points;

[0007] Acquire an image of an optical fiber end face in an optical cross-connection box in the abnormal routing section, use an image recognition algorithm to identify the working mode and usage status of the fiber core port, and obtain a fiber core status table;

[0008] generating a first topology correction scheme for the optical fiber link according to the fiber core state table, and correcting the initial topology structure of the optical fiber link using the first topology correction scheme to obtain a first topology structure;

[0009] Based on the first topology, traffic distribution is monitored, paths where traffic of the same service appears simultaneously are identified, and a list of overlapping paths is obtained;

[0010] extracting a load difference between each path in the overlapping path list, and obtaining a single transmission path from the overlapping path list according to the load difference;

[0011] An inspection report including a second topology correction solution is generated according to the single transmission path and the first topology structure.

[0012] As an improvement to the above solution, the method of comparing the real-time detection data of the optical fiber link with the completed project image to obtain abnormal attenuation points and determining abnormal routing segments based on the abnormal attenuation points includes:

[0013] Using an optical time domain reflectometry algorithm, the attenuation characteristics of the real-time detection data of the optical fiber link are extracted to obtain a first attenuation distribution map;

[0014] Extracting static attenuation data based on the completed engineering image of the optical fiber link to generate a second attenuation distribution map;

[0015] Calculating an attenuation deviation between the first attenuation distribution graph and the second attenuation distribution graph, and obtaining an attenuation abnormality point if the attenuation deviation is greater than a preset deviation threshold;

[0016] Corresponding physical routing data is obtained according to the attenuation abnormal point, and when the physical routing data is inconsistent with the initial topological structure of the project completion image, an abnormal routing segment is determined.

[0017] As an improvement to the above solution, the method of obtaining an image of the optical fiber end face in the optical cross-connection box in the abnormal routing segment, using an image recognition algorithm to identify the working mode and usage status of the fiber core port, and obtaining a fiber core status table includes:

[0018] Acquire an image of an optical fiber end face in an optical cross-connection box in the abnormal routing section to obtain a first image;

[0019] Preprocessing the first image to obtain a second image;

[0020] extracting edge features of the second image using an image edge detection algorithm, and obtaining position coordinates and brightness data of the fiber core port based on the edge features;

[0021] According to the position coordinates and brightness data, the working mode and usage status of the fiber core port are obtained; the working mode includes a main mode and a standby mode; the usage status includes an enabled state and an idle state;

[0022] A core status table is formed according to the distribution of the working modes and usage status.

[0023] As an improvement to the above solution, obtaining the working mode and usage status of the fiber core port according to the position coordinates and brightness data includes:

[0024] Obtaining a topological node where the corresponding fiber core port is located according to the position coordinates, and determining an operating mode of the fiber core port;

[0025] If the brightness data is greater than a preset first brightness threshold, it is considered that the use state of the fiber core port is an enabled state;

[0026] If the brightness data is less than a preset second brightness threshold, it is considered that the use state of the fiber core port is an idle state.

[0027] As an improvement to the above solution, generating a first topology correction scheme for the optical fiber link according to the fiber core state table, and correcting the initial topology structure of the optical fiber link using the first topology correction scheme to obtain a first topology structure, includes:

[0028] Obtaining a physical connection mapping between the optical cross-connection box port and the fiber core according to the optical fiber end face image;

[0029] Filtering the fiber core ports that are in both standby mode and idle state from the fiber core state table to obtain standby fiber core activation data;

[0030] Adjusting the fiber core port connected to the device port according to the physical connection mapping and the spare fiber core activation data to generate a first topology correction plan for the optical fiber link;

[0031] The initial topology structure of the optical fiber link is corrected using the first topology correction scheme to obtain a first topology structure, and the fiber core state table is updated based on the first topology structure.

[0032] As an improvement to the above solution, the method of monitoring traffic distribution according to the first topology structure, identifying paths where traffic of the same service appears simultaneously, and obtaining a list of overlapping paths includes:

[0033] According to the first topology structure, a current data transmission path and a historical data transmission path are obtained;

[0034] Using a traffic collection tool to monitor a first traffic distribution on the current data transmission path and a second traffic distribution on the historical data transmission path;

[0035] If the first traffic distribution and the second traffic distribution are both greater than a preset traffic distribution threshold and correspond to the same service, the current data transmission path and the historical data transmission path are used as an overlapping path list.

[0036] As an improvement to the above solution, if both the first traffic distribution and the second traffic distribution are greater than a preset traffic distribution threshold and correspond to the same service, the current data transmission path and the historical data transmission path are used as an overlapping path list, including:

[0037] If both the first traffic distribution and the second traffic distribution are greater than a preset traffic distribution threshold and correspond to the same service, a clustering algorithm is used to group the first traffic distribution and the second traffic distribution to obtain a resource-wasting path combination;

[0038] Extracting repeatedly transmitted service data from the resource-wasting path combination to obtain a resource-wasting list;

[0039] An overlapping path list is obtained according to the resource waste list, the current data transmission path and the historical data transmission path.

[0040] As an improvement to the above solution, extracting the load difference of each path in the overlapping path list and obtaining a single transmission path from the overlapping path list according to the load difference includes:

[0041] Obtaining load data of each path in the overlapping path list, and extracting path features according to the load data; the path features include load value features and delay grouping;

[0042] Clustering the path features to obtain the optimization priority of each path;

[0043] According to the optimization priority, a greedy algorithm is used to merge the paths to obtain a single transmission path.

[0044] As an improvement to the above solution, generating an inspection report including a second topology correction solution based on the single transmission path and the first topology structure includes:

[0045] Adjusting the first topology structure according to the single transmission path to obtain a second topology structure;

[0046] Calculating a link attenuation value of the optical fiber link according to the second topology structure;

[0047] When the link attenuation value is less than a preset attenuation threshold, a second topology correction plan is generated according to the second topology structure; otherwise, an abnormality flag is generated according to the link attenuation value as the second topology correction plan;

[0048] According to the second topology correction solution, the fiber core status table is updated and an inspection report is generated.

[0049] An embodiment of the present invention further provides an intelligent inspection system for a power distribution communication network, comprising:

[0050] An abnormal routing segment identification module is used to compare the real-time detection data of the optical fiber link with the completed project image to obtain the attenuation abnormal point position, and determine the abnormal routing segment based on the attenuation abnormal point position;

[0051] A fiber core status table generating module is used to obtain an image of the optical fiber end face in the optical cross-connection box in the abnormal routing section, identify the working mode and usage status of the fiber core port using an image recognition algorithm, and obtain a fiber core status table;

[0052] A first topology correction module is configured to generate a first topology correction scheme for the optical fiber link according to the fiber core state table, and to correct the initial topology structure of the optical fiber link using the first topology correction scheme to obtain a first topology structure;

[0053] an overlapping path list screening module, configured to monitor traffic distribution according to the first topology, identify paths where traffic of the same service appears simultaneously, and obtain an overlapping path list;

[0054] a single transmission path acquisition module, configured to extract a load difference between each path in the overlapping path list and obtain a single transmission path from the overlapping path list according to the load difference;

[0055] The second topology correction module is configured to generate an inspection report including a second topology correction solution according to the single transmission path and the first topology structure.

[0056] Compared with the prior art, the present invention discloses an intelligent inspection method and system for a power distribution communication network. By comparing the real-time detection data of the optical fiber link and the completed project image, the method obtains the attenuation abnormality point, and determines the abnormal routing segment based on the attenuation abnormality point; obtains the optical fiber end face image in the optical junction box in the abnormal routing segment, and uses an image recognition algorithm to identify the working mode and usage status of the fiber core port to obtain a fiber core status table; generates a first topology correction scheme for the optical fiber link based on the fiber core status table, and uses the first topology correction scheme to correct the initial topology structure of the optical fiber link to obtain a first topology structure; monitors the traffic distribution based on the first topology structure, identifies the paths where the traffic of the same service appears simultaneously, and obtains an overlapping path list; extracts the load difference of each path in the overlapping path list, and obtains a single transmission path from the overlapping path list based on the load difference; generates an inspection report including a second topology correction scheme based on the single transmission path and the first topology structure. By adopting the embodiments of the present invention, problem areas in optical fiber links can be accurately located, reducing the probability of misjudgment and missed judgment; at the same time, combined with image recognition technology and traffic monitoring means, network resource utilization can be significantly improved, effectively assisting the operation and maintenance team to formulate more scientific and reasonable operation and maintenance strategies, comprehensively improving operation and maintenance efficiency and quality, and ensuring the stable and efficient operation of the distribution communication network. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 This is a schematic flow chart of the steps of an intelligent inspection method for a power distribution communication network provided by an embodiment of the present invention;

[0058] Figure 2 The present invention provides a schematic diagram of the structure of an intelligent inspection system for a power distribution communication network. DETAILED DESCRIPTION

[0059] 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. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0060] In the description of the specification and claims, it should be understood that the terms "first," "second," etc., are used solely for descriptive purposes to distinguish between identical technical features and are not to be construed as indicating or implying relative importance or implicitly specifying the number of technical features being referred to, nor do they necessarily describe a sequential or chronological order. The terms are interchangeable where appropriate. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one of those features.

[0061] Existing inspection methods, such as simple automated tools, only provide basic monitoring capabilities and are unable to fully examine the complex operational status of distribution and communication networks. Furthermore, they lack the ability to deeply mine and analyze collected data, hindering the timely identification of potential risks hidden within the data. Comprehensive inspections using manual inspection methods require significant manpower and time, and are also subject to personnel expertise, experience, and work status, potentially overlooking potential risks.

[0062] Based on the above considerations, an embodiment of the present invention provides an intelligent inspection method for a power distribution communication network. Figure 1 In this embodiment, the intelligent inspection method of the power distribution communication network is specifically performed through steps S1 to S6:

[0063] S1. Compare the real-time detection data of the optical fiber link with the completed project image to obtain abnormal attenuation points, and determine abnormal routing segments based on the abnormal attenuation points.

[0064] It should be noted that existing technologies often rely on manual inspections or simple automated tools to detect fiber links, making it difficult to comprehensively and promptly obtain real-time data and accurately compare it with as-built images. The embodiments of the present invention can quickly identify discrepancies between fiber links and the initial engineering state, accurately locating abnormal attenuation points and abnormal routing segments.

[0065] S2. Obtain an image of the optical fiber end face in the optical cross-connection box in the abnormal routing section, use an image recognition algorithm to identify the working mode and usage status of the fiber core port, and obtain a fiber core status table.

[0066] In the embodiment of the present invention, an image recognition algorithm is used to achieve automated and high-precision recognition, greatly improving the efficiency and accuracy of fiber core port status detection, effectively managing optical fiber resources, and providing a reliable basis for topology adjustment and resource allocation.

[0067] S3. Generate a first topology correction scheme for the optical fiber link according to the fiber core state table, and use the first topology correction scheme to correct the initial topology structure of the optical fiber link to obtain a first topology structure.

[0068] Optimizing fiber link connections based on fiber core status can make the network topology more consistent with actual business needs, improve network reliability and flexibility, avoid waste or overuse of fiber core resources, rationally allocate business traffic, and reduce network congestion.

[0069] S4. Based on the first topology, monitor traffic distribution, identify paths where traffic of the same service appears simultaneously, and obtain a list of overlapping paths.

[0070] Existing technologies are relatively weak in in-depth traffic monitoring and analysis, making it difficult to comprehensively and real-timely monitor traffic and accurately identify overlapping paths. The embodiments of the present invention can clearly visualize the direction and distribution of service traffic in the network and identify overlapping paths, providing a key basis for optimizing network resource allocation, helping to discover redundant paths or unreasonable traffic distribution issues, and providing guidance for path optimization.

[0071] S5. Extract the load difference of each path in the overlapping path list, and obtain a single transmission path from the overlapping path list according to the load difference.

[0072] It should be noted that selecting a single transmission path based on load differences can optimize network resource utilization efficiency, direct business traffic to paths with lighter loads, avoid path overload, improve overall network performance, and simplify path management and maintenance.

[0073] S6. Generate an inspection report including a second topology correction solution based on the single transmission path and the first topology structure.

[0074] In the above scheme, by comparing the real-time detection data of the optical fiber link and the completed image of the project, the problem area in the optical fiber link is accurately located, reducing the probability of misjudgment and missed judgment; at the same time, by combining image recognition technology and flow monitoring means, the operation and maintenance efficiency and quality are improved in all aspects. Among them, the image recognition technology analyzes the image of the optical fiber end face in the optical junction box to obtain the fiber core status table, and then performs a two-level correction on the topology structure of the optical fiber link based on the fiber core status table and flow monitoring means, fully considering the load difference and reducing path redundancy. The use of the embodiment of the present invention can significantly improve the utilization rate of network resources, effectively assist the operation and maintenance team to formulate more scientific and reasonable operation and maintenance strategies, and ensure the stable and efficient operation of the distribution communication network.

[0075] As a preferred embodiment, step S1 compares the real-time detection data of the optical fiber link with the completed image of the project to obtain attenuation abnormal points, and determines the abnormal routing segment based on the attenuation abnormal points, and performs the following steps S11-S14:

[0076] S11, using an optical time domain reflectometry algorithm to extract attenuation characteristics of real-time detection data of the optical fiber link to obtain a first attenuation distribution map;

[0077] S12. Extracting static attenuation data based on the completed image of the optical fiber link to generate a second attenuation distribution map;

[0078] S13, calculating the attenuation deviation between the first attenuation distribution map and the second attenuation distribution map, and if the attenuation deviation is greater than a preset deviation threshold, obtaining an attenuation abnormality point;

[0079] S14. Obtain corresponding physical routing data according to the attenuation abnormal point, and when the physical routing data is inconsistent with the initial topological structure of the completed project image, determine an abnormal routing segment.

[0080] In this embodiment of the present invention, the first attenuation profile, obtained through real-time monitoring of the optical fiber link, accurately reflects the actual attenuation of the optical fiber. The second attenuation profile, obtained through as-built images, provides the theoretical attenuation value of the optical fiber under normal conditions. The attenuation deviation reflects any inconsistency between the first and second attenuation profiles and can also reveal potential aging or damage issues, such as unexpected attenuation of a specific segment due to long-term use.

[0081] Preferably, step S11 includes:

[0082] An optical time domain reflectometer is used to send light pulses into the optical fiber, and the attenuation characteristic data along the length of the optical fiber is obtained based on the time and intensity of the reflected signal.

[0083] The attenuation characteristic data is smoothed, and a first attenuation distribution graph is obtained according to the smoothed attenuation characteristic data.

[0084] For example, in a 10-kilometer-long single-mode optical fiber, detection might reveal that the signal strength at a certain section drops from 100% at the transmitting end to 70% at 8 kilometers. When extracting event loss and segment attenuation, it can be observed that the loss at the connector is 0.5 dB, and the attenuation rate at a certain section is 0.2 dB / km. Data smoothing uses a preset threshold to filter out noise. In this embodiment of the present invention, the preset threshold is preferably 0.1 dB.

[0085] It's important to note that the reflected signal reflects the attenuation characteristics of the optical fiber, providing foundational data for subsequent analysis. Considering that the raw data may experience minor fluctuations due to external vibrations, smoothing using a sliding average method allows the first attenuation distribution graph to more clearly reveal key attenuation trends, such as changes in attenuation at connectors and over long distances.

[0086] In some preferred embodiments, step S12 is performed by scanning the fiber loss values ​​marked in the completed project image as static attenuation data to generate a second attenuation distribution map. This utilizes historical static data to provide a reference for dynamic monitoring, thereby enhancing the accuracy of analysis.

[0087] For example, a completed image shows a joint loss of 0.6 decibels, which can be compared with real-time data to verify consistency. Using the fiber loss values ​​at each node in the completed image, the theoretical static attenuation data for each joint can be calculated. A second attenuation distribution map can be generated by integrating all interfaces and the distribution and communication network topology.

[0088] Next, if the attenuation of a point in the first attenuation distribution map is 0.8 dB, and the attenuation of the point in the second attenuation distribution map is 0.5 dB, the attenuation deviation can be calculated to be 0.3 dB, and the preset threshold is 0.2 dB, then the point is marked as an attenuation abnormal point.

[0089] In some preferred embodiments, the fault location can be further located and the fault area can be predicted based on the attenuation abnormality point, which helps to intervene in advance.

[0090] For example, an abnormal point is displayed 5 kilometers from the starting point. Comparing it with the topology map shows that this is the location of an underground joint box. This positioning method is intuitive and efficient, facilitating rapid response by maintenance personnel. When judging persistent characteristics based on historical detection data, if the attenuation value at a certain point increases from 0.4dB to 0.8dB over the past week and continues to increase, it can be inferred that the connector is loose or the fiber is damaged.

[0091] Preferably, step S14 includes:

[0092] According to the abnormal attenuation point, data including the geographical coordinates and path identifier of the abnormal attenuation point is obtained as physical routing data;

[0093] Extracting an initial topological structure including the abnormal attenuation point from the completed project image;

[0094] The physical routing data is matched with the initial topology structure to obtain an abnormal routing segment.

[0095] It should be noted that the acquisition of physical routing data mainly relies on the pre-entered GIS database. When matching it with the completed project image, it can be understood as using image recognition technology to analyze the static layout of the optical cable.

[0096] For example, in a city fiber optic network, assuming that an abnormal point shows that the attenuation exceeds the threshold, the routing record of the point is retrieved, including the latitude and longitude data and the corresponding optical cable number, to form the physical routing data. Then, the expected path of a section of optical fiber is extracted from the completed image of the project, including the straight line connection from node A to node B, and compared with the physical routing data. In one possible implementation, the vector comparison algorithm converts the two sets of paths into vector sequences, and calculates the cosine value of the angle to determine the consistency. If the consistency is lower than the preset threshold of 0.8, it is considered that there is a deviation. Assuming that the completion drawing shows that the path is a straight line of 10 kilometers, and the real-time data is offset to 12 kilometers due to construction, the difference calculation can mark the 2-kilometer abnormal routing segment and include it in the hidden danger list.

[0097] As a preferred embodiment, step S2, obtaining an image of the optical fiber end face in the optical cross-connection box in the abnormal routing segment, using an image recognition algorithm to identify the working mode and usage status of the fiber core port, and obtaining a fiber core status table, includes:

[0098] S21, acquiring an image of an optical fiber end face in an optical cross-connection box in the abnormal routing section to obtain a first image;

[0099] S22. Preprocess the first image to obtain a second image;

[0100] S23, extracting edge features of the second image using an image edge detection algorithm, and obtaining position coordinates and brightness data of the fiber core port based on the edge features;

[0101] S24, obtaining a working mode and a usage status of the fiber core port according to the position coordinates and the brightness data; the working mode includes a main mode and a standby mode; the usage status includes an enabled state and an idle state;

[0102] S25. Form a fiber core status table according to the distribution of the working modes and usage status.

[0103] It should be noted that the number of active backup fiber cores and the number of idle primary fiber cores directly impact resource allocation efficiency. In this embodiment of the present invention, a fiber core status table is generated through an image detection algorithm, which facilitates monitoring of fiber core ports and efficiently screens for potentially abnormal and available fiber cores, significantly improving management efficiency. The fiber core status table can be repeatedly accessed in subsequent use, and historical information can be further retrieved, making it easier to understand fiber core changes and promptly identify anomalies.

[0104] In some preferred embodiments, the preprocessing performed on the first image in step S22 includes denoising, enhancement, and mean filtering. Mean filtering smoothes the image by taking the average value of a preset-size area around each pixel, reducing noise interference. For example, if the edge of a fiber core in the original image is blurred due to dust, after mean filtering, the edge becomes more continuous, facilitating subsequent identification. This processing also improves image contrast, making the fiber core more clearly distinguishable from the background.

[0105] Preferably, during step S23, a gradient-based edge detection algorithm is used to obtain the position coordinates and brightness data of the fiber core ports. For example, eight fiber core ports are identified, six of which have intact edges and two of which exhibit irregularities due to wear. The generated data helps quickly determine whether the fiber core is functioning properly.

[0106] Furthermore, preferably, step S24, obtaining the working mode and usage status of the fiber core port according to the position coordinates and brightness data, includes:

[0107] Obtaining a topological node where the corresponding fiber core port is located according to the position coordinates, and determining an operating mode of the fiber core port;

[0108] If the brightness data is greater than a preset first brightness threshold, it is considered that the use state of the fiber core port is an enabled state;

[0109] If the brightness data is less than a preset second brightness threshold, it is considered that the use state of the fiber core port is an idle state.

[0110] It should be noted that if analysis reveals that a spare fiber core is repeatedly activated, there may be improper resource scheduling. By identifying the working mode of the fiber core port, potential faults can be discovered in a timely manner, improving maintenance efficiency.

[0111] The first brightness threshold and the second brightness threshold are adjusted according to the actual lighting conditions of the optical junction box to ensure accurate classification. For example, the full brightness value is 225 units, the first brightness threshold is 200 units, and the second brightness threshold is 100 units. It should be noted that if the brightness threshold of a port is between the first brightness threshold and the second brightness threshold, it is considered that the port is not connected to the fiber core. Therefore, in the embodiment of the present invention, since the fiber core port is identified, under normal circumstances, the brightness threshold will not be between the first brightness threshold and the second brightness threshold. However, preferably, once abnormal brightness data is found during the inspection process, it should be reported in a timely manner.

[0112] As a preferred embodiment, step S3, generating a first topology correction scheme for the optical fiber link according to the fiber core state table, and correcting the initial topology structure of the optical fiber link using the first topology correction scheme to obtain a first topology structure, includes:

[0113] Obtaining a physical connection mapping between the optical cross-connection box port and the fiber core according to the optical fiber end face image;

[0114] Filtering the fiber core ports that are in both standby mode and idle state from the fiber core state table to obtain standby fiber core activation data;

[0115] Adjusting the fiber core port connected to the device port according to the physical connection mapping and the spare fiber core activation data to generate a first topology correction plan for the optical fiber link;

[0116] The initial topology structure of the optical fiber link is corrected using the first topology correction scheme to obtain a first topology structure, and the fiber core state table is updated based on the first topology structure.

[0117] It should be noted that in the power distribution communication network of the embodiments of the present invention, the ends of the fiber core are connected to the optical cross-connect box port and the device port, respectively. However, it is understandable that both the optical cross-connect box and the device can have multiple ports. As long as their ports meet the connection standards, they can all be connected through the fiber core. Therefore, when a fault occurs, timely adjustment of the activation status of the fiber core can effectively troubleshoot the fault. For example, if the original logical link is device A connecting to device B via fiber core 1, and an investigation reveals that fiber core 1 may be abnormal, and the backup fiber core 5 is now activated, the corrected logical link becomes device A connecting to device B via fiber core 5.

[0118] For example, an end-face image of an optical cross-connect box displays 12 ports. After image processing, it is identified that port P3 is connected to fiber core 3, and port P5 is connected to fiber core 5, forming a physical connection mapping table. When determining whether a port number matches a device port, assume that the device-side ports are D1-D12 and the optical cross-connect box ports are P1-P12. If the physical connection mapping shows that P3 is connected to fiber core 3, and fiber core 3 corresponds to D3, then the connected device port number D3 is generated.

[0119] In one embodiment, when core 5 is activated and the logical link changes, the core status table is updated to show core 5 as "activated" and core 1 as "idle." The final activation data therefore includes a record of core 5's activation. This update ensures the status table is consistent with the actual network. The spare core is also recorded as core 5, the device port number is D5, and the logical link is A-D5-B. This record provides a clear reference for subsequent maintenance.

[0120] As a preferred embodiment, step S4 monitors the traffic distribution according to the first topology structure, identifies the paths where traffic of the same service appears simultaneously, obtains a list of overlapping paths, and executes steps S41-S43:

[0121] S41. Obtain a current data transmission path and a historical data transmission path according to the first topology structure;

[0122] S42: Using a traffic collection tool to monitor a first traffic distribution on the current data transmission path and a second traffic distribution on the historical data transmission path;

[0123] S43: If the first traffic distribution and the second traffic distribution are both greater than a preset traffic distribution threshold and correspond to the same service, the current data transmission path and the historical data transmission path are used as an overlapping path list.

[0124] It should be noted that, in the embodiment of the present invention, when the traffic distribution reaches a preset traffic distribution threshold, it is considered that there is valid business data on the path. The specific setting of the traffic distribution threshold does not affect the beneficial effects of the present invention.

[0125] In the above solution, traffic on both the old and new data transmission paths is analyzed. If service data flows simultaneously on both the new and old paths, there may be duplicate transmission of service data, resulting in wasted resources. Existing technologies do not achieve high-precision matching between virtual network models and actual physical conditions, and it is difficult to quickly identify resource waste issues during network transformation. However, the embodiments of the present invention can identify resource waste caused by the simultaneous transmission of the same service data through both the old and new paths during the transformation of the power dispatch communication network. Based on this, network topology adjustments can be made, improving the resource transmission efficiency and utilization rate of the distribution communication network.

[0126] For example, in a fiber optic network, a certain service data flows from device A to device C, and the logical topology diagram shows that possible paths include ABC and ADC. When parsing the path structure, the specific line of each path can be determined by tracing the core connection relationship, such as ABC uses fiber cores 1 and 2, and ADC uses fiber cores 3 and 4. In view of the distribution of service data on the new and old paths, the traffic collection tool can be deployed on the port of the optical junction box to monitor the data traffic in real time. The collection results show that the traffic of the ABC path is 50Mbps, the ADC path is 30Mbps, and the historical transmission path AEC has been abandoned but still has 10Mbps of traffic. It is possible that some services have not been completely switched between the current data transmission path and the historical data transmission path.

[0127] In some preferred embodiments, when service data flows simultaneously on the current data transmission path and the historical data transmission path, it is determined whether there is repeated transmission, and then an overlapping path list is further generated.

[0128] Preferably, in step S43, if both the first traffic distribution and the second traffic distribution are greater than a preset traffic distribution threshold and correspond to the same service, the current data transmission path and the historical data transmission path are used as an overlapping path list, including:

[0129] If both the first traffic distribution and the second traffic distribution are greater than a preset traffic distribution threshold and correspond to the same service, a clustering algorithm is used to group the first traffic distribution and the second traffic distribution to obtain a resource-wasting path combination;

[0130] Extracting repeatedly transmitted service data from the resource-wasting path combination to obtain a resource-wasting list;

[0131] An overlapping path list is obtained according to the resource waste list, the current data transmission path and the historical data transmission path.

[0132] For example, a resource waste list shows that the 10 Mbps traffic on the historical data transmission path AEC is redundant. Key fields are extracted from the list, such as "Path ID: AEC" and "Wasted Traffic: 10 Mbps," and mapped to generate a structured record. This record facilitates subsequent optimization of resource allocation. After generating the structured record, network administrators can adjust fiber core allocation accordingly to reduce redundant transmission and improve bandwidth utilization. For example, completely migrating the 10 Mbps traffic from AEC to ABC frees up fiber core resources.

[0133] In some preferred scenarios, deploy a traffic sniffer on selected ports within the traffic collection tool to periodically collect traffic peaks every five minutes to ensure data accuracy. Classify traffic based on traffic similarity and target devices to avoid misjudgment. When analyzing resource-wasting path combinations, consider multiple factors, such as latency and bandwidth usage.

[0134] In a specific application scenario, logs of all data transmission paths can be extracted from the network management system.

[0135] For example, in an enterprise's data center network, there are 100 path records, each containing fields such as a transmission path identifier, source address, and destination address. By comparing the transmission path identifiers in the path records, duplicate paths are filtered out and marked with duplicate identifiers to obtain a labeled path set.

[0136] If paths ABC and ABD appear multiple times, they are marked as "duplicate," forming a set containing duplicate identifiers. This method facilitates subsequent analysis of the distribution of duplicate paths. Within this marked path set, the transmission paths are grouped according to the duplicate identifiers to obtain path grouping results. Specifically, all paths marked as "duplicate" can be grouped together, while non-duplicate paths can be grouped together.

[0137] Assume there are 20 duplicate paths among 100 paths. After grouping, the resulting "duplicate group" contains 20 paths, and the "non-duplicate group" contains 80 paths. This grouping helps quickly identify problematic paths. From the path grouping results, we extract the abnormal paths and obtain the data traffic corresponding to the abnormal paths to obtain the traffic data for the abnormal paths. Understandably, in some scenarios, the abnormal path may be the portion of the repeated path with abnormally high traffic.

[0138] For example, if path ABC in a repetitive group transfers 500GB of data daily, while other repetitive paths average only 100GB, ABC can be considered an abnormal path. Using a traffic monitoring tool, record its traffic data for further analysis. By analyzing the traffic data on the abnormal path, the repetitive transmission characteristics can be identified, revealing the transmission pattern of the abnormal path.

[0139] It's important to note that repeated transmission characteristics can manifest as consistent traffic peak times or highly similar packet content. For example, if traffic on path ABC peaks at 200GB at 9:00 AM daily and the content transmitted is always the same service backup data, this indicates a repeated transmission pattern. Identifying this pattern helps locate the root cause of the problem. A clustering algorithm is used to classify transmission patterns. Based on the classification results, the matching relationship between repeated transmission characteristics and service identifiers is extracted to generate feature association data.

[0140] In one embodiment, the transmission patterns of 20 abnormal paths were clustered and divided into two categories: "peak" and "stable." Peak paths were highly correlated with the service identifier "backup data," with a matching degree of 90%. This correlation data provided a basis for subsequent judgment. Based on the feature correlation data, if the matching degree between the service identifier and the repeated transmission feature exceeded a preset matching threshold, it was confirmed that the same service traffic was being transmitted on the repeated path, and a judgment result was obtained.

[0141] Preferably, the matching threshold is set at 85%. If the matching degree for path ABC reaches 90%, duplicate transmission is confirmed. This judgment method improves the accuracy of problem identification. Based on the judgment results, a set of duplicate paths involving the same service traffic is obtained. By counting the transmission frequencies of duplicate paths, the priority of abnormal paths is determined, providing a basis for optimization. If path ABC repeats 10 times per day and path ABD repeats 5 times, ABC has a higher priority. This ranking provides a clear direction for resource optimization, helping to prioritize frequently duplicated paths and reduce resource waste.

[0142] In some embodiments, the method for obtaining a single transmission path from the overlapping path list in step S5 may be to directly select one of the paths in the overlapping path list as the single transmission path based on the transmission characteristics of each path, such as load capacity and communication speed. More preferably, considering the sustainable optimization of the optical fiber link, the transmission characteristics of each path may be analyzed and improved, and then the paths may be merged to generate a single transmission path.

[0143] As a preferred embodiment, step S5, extracting the load difference of each path in the overlapping path list and obtaining a single transmission path from the overlapping path list according to the load difference, includes:

[0144] Obtaining load data of each path in the overlapping path list, and extracting path features according to the load data; the path features include load value features and delay grouping;

[0145] Clustering the path features to obtain the optimization priority of each path;

[0146] According to the optimization priority, a greedy algorithm is used to merge the paths to obtain a single transmission path.

[0147] In an embodiment of the present invention, by obtaining the load data of each path in the overlapping path list and extracting the load value characteristics, the current workload of each path can be intuitively understood, and the basic data for subsequent analysis of the efficiency of path use and whether resource allocation is balanced can be provided. Extracting the delay group characteristics can measure the transmission performance of the path from the time dimension. Further clustering the path characteristics to obtain the optimization priority can group paths with similar path characteristics, thereby distinguishing the importance of each path in the entire network transmission based on the characteristics of different groups, and providing an orderly input for the subsequent use of the greedy algorithm for path merging. By merging the paths through the greedy algorithm to obtain a single transmission path, a single transmission path with better overall performance can be gradually constructed, which simplifies the transmission path layout of the network and reduces the complexity and cost of operation and maintenance.

[0148] For example, in the overlapping path list, path ABD carries 50 Mbps of traffic, while path ACD carries 30 Mbps. ABD is the new path with an average load of 70%, while ACD is the old path with an average load of 50%, resulting in a 20% difference. Using the K-means algorithm to cluster path features, paths can be grouped by load and latency to determine optimization priority. The highly loaded path ABD has a higher priority than ACD.

[0149] When merging the ABD and ACD, the ACD with the lower load is selected as the single path candidate set to reduce resource usage. For load balancing differences, if the actual difference exceeds the preset threshold of 15%, the path allocation is adjusted, such as migrating some traffic from the ABD to the ACD, to obtain an optimized single path. After the new path is load-balanced, the ACD load increases to 55%, while the ABD load drops to 60%, improving balance.

[0150] In some preferred embodiments, a link load verification tool is used to check the distribution and further determine the single transmission path. For example, if the verification results show that the ACD load is stable at 55% and there is no overload risk, the single path is determined as the final single path. Topology correction parameters such as path length and bandwidth utilization are extracted from this, and confirmation data is generated through solution calculation.

[0151] We can also further combine historical data for path identification and load analysis. For example, if the ABD load continued to exceed 70% in the past week, while the ACD load was lower, it proves the rationality of adjusting the path allocation.

[0152] In a city fiber ring network, the original logical topology may contain redundant paths between some nodes, leading to uneven resource allocation. After adjustment, the new topology data will reflect a simpler node connection relationship. For example, suppose a ring network has five nodes. Before the adjustment, there were two paths from A to B. After the adjustment, the recommended correction merges them into a single path, reducing the number of paths in the topology data from 10 to 8. This adjustment can reduce maintenance complexity and improve resource utilization. When extracting fiber link information from the adjusted topology data.

[0153] It can be seen that in the embodiment of the present invention, a single transmission path can not only improve the load balancing of the path and enhance transmission stability, but also effectively reduce the waste of resources caused by repeated transmission and improve network efficiency.

[0154] As a preferred implementation, step S6, generating an inspection report including a second topology correction solution based on the single transmission path and the first topology structure, includes:

[0155] Adjusting the first topology structure according to the single transmission path to obtain a second topology structure;

[0156] Calculating a link attenuation value of the optical fiber link according to the second topology structure;

[0157] When the link attenuation value is less than a preset attenuation threshold, a second topology correction plan is generated according to the second topology structure; otherwise, an abnormality flag is generated according to the link attenuation value as the second topology correction plan;

[0158] According to the second topology correction solution, the fiber core status table is updated and an inspection report is generated.

[0159] It should be noted that the single transmission path is the optimal path determined through business traffic distribution analysis and path screening. Adjusting the first topology based on this can better align the network architecture with actual business transmission needs, avoid path redundancy or unreasonable traffic distribution, and improve network transmission efficiency and resource utilization. The newly generated second topology is more concise and reasonable, making it easier for operations personnel to understand and manage the network. Subsequent maintenance work, whether troubleshooting or performance optimization, can more quickly locate problems and implement actions, reducing operation and maintenance difficulty and costs.

[0160] As you can understand, link attenuation is a key indicator of fiber link transmission quality. By calculating this value, you can intuitively understand the signal transmission loss of the fiber link under the current topology. This provides a quantitative basis for evaluating network operation and helps to promptly identify potential transmission problems.

[0161] In a specific embodiment, a section of optical fiber is 2 kilometers long from node A to node B, and another section is 1.5 kilometers long from B to C. Based on an attenuation of 0.2 dB per kilometer, the attenuation value of the 2-kilometer link is 0.4 dB, and that of the 1.5-kilometer link is 0.3 dB.

[0162] In some preferred embodiments, when calculating the link attenuation value, the attenuation value is estimated based on the optical fiber length and material properties.

[0163] When the link attenuation value is less than the preset attenuation threshold, the fiber link transmission performance in the current second topology is good. If the link attenuation value is greater than the preset attenuation threshold, an anomaly flag is generated as a second topology correction plan, promptly alerting operations personnel to network issues. Based on this anomaly flag, operations personnel can quickly locate the abnormal link, further troubleshoot and resolve the issue, and prevent it from escalating and impacting normal network communication.

[0164] It's also important to note that updating the fiber status table ensures that fiber-related information is consistent with the latest network topology and operational status, providing operations personnel with one-stop maintenance data. This is crucial for accurate fiber resource management, ensuring that operations personnel are based on the latest and most accurate data when performing tasks such as fiber core deployment and troubleshooting, avoiding operational errors caused by inconsistent data.

[0165] The intelligent inspection method for the power distribution communication network provided by the embodiment of the present invention can accurately locate the problem area in the optical fiber link, reducing the probability of misjudgment and missed judgment; at the same time, combining image recognition technology and traffic monitoring means to perform two topology corrections can significantly improve network resource utilization, effectively assist the operation and maintenance team to formulate more scientific and reasonable operation and maintenance strategies, comprehensively improve operation and maintenance efficiency and quality, and ensure the stable and efficient operation of the power distribution communication network.

[0166] The embodiment of the present invention provides an intelligent inspection system for a power distribution communication network. Figure 2 The intelligent inspection system of the power distribution communication network includes an abnormal routing segment identification module 11, a fiber core status table generation module 12, a first topology correction module 13, an overlapping path list screening module 14, a single transmission path acquisition module 15, and a second topology correction module 16, wherein:

[0167] The abnormal route segment identification module 11 is used to compare the real-time detection data of the optical fiber link with the completed project image to obtain the attenuation abnormal point position, and determine the abnormal route segment based on the attenuation abnormal point position;

[0168] A fiber core status table generating module 12 is configured to obtain an image of an optical fiber end face in the optical cross-connection box in the abnormal routing section, identify an operating mode and a usage status of a fiber core port using an image recognition algorithm, and obtain a fiber core status table;

[0169] A first topology correction module 13 is configured to generate a first topology correction scheme for the optical fiber link according to the fiber core state table, and use the first topology correction scheme to correct the initial topology structure of the optical fiber link to obtain a first topology structure;

[0170] The overlapping path list screening module 14 is configured to monitor the traffic distribution according to the first topology structure, identify paths where traffic of the same service appears simultaneously, and obtain an overlapping path list;

[0171] a single transmission path acquisition module 15, configured to extract a load difference between each path in the overlapping path list and obtain a single transmission path from the overlapping path list according to the load difference;

[0172] The second topology correction module 16 is configured to generate an inspection report including a second topology correction solution according to the single transmission path and the first topology structure.

[0173] As a preferred embodiment, the abnormal routing segment identification module 11 includes:

[0174] A first attenuation profile generating unit is configured to extract attenuation characteristics of real-time detection data of an optical fiber link using an optical time domain reflectometry algorithm to obtain a first attenuation profile;

[0175] A second attenuation distribution map generating unit is configured to extract static attenuation data based on the completed engineering image of the optical fiber link and generate a second attenuation distribution map;

[0176] an attenuation abnormal point acquisition unit, configured to calculate an attenuation deviation between the first attenuation distribution map and the second attenuation distribution map, and obtain an attenuation abnormal point if the attenuation deviation is greater than a preset deviation threshold;

[0177] A topology matching unit is configured to obtain corresponding physical routing data according to the attenuation abnormality point, and to determine an abnormal routing segment when the physical routing data is inconsistent with the initial topology of the completed project image.

[0178] As a preferred implementation, the core state table generating module 12 includes:

[0179] A first image acquisition unit is configured to acquire an image of an optical fiber end face in the optical cross-connection box in the abnormal routing section to obtain a first image;

[0180] a second image generating unit, configured to preprocess the first image to obtain a second image;

[0181] a feature extraction unit, configured to extract edge features of the second image using an image edge detection algorithm, and obtain position coordinates and brightness data of the fiber core port according to the edge features;

[0182] A fiber core data acquisition unit, configured to obtain a working mode and a usage status of the fiber core port according to the position coordinates and the brightness data; the working mode includes a main mode and a standby mode; and the usage status includes an enabled state and an idle state;

[0183] The state table integration unit is used to form a fiber core state table according to the distribution of the working mode and the use state.

[0184] Furthermore, preferably, the fiber core data acquisition unit is specifically configured to:

[0185] Obtaining a topological node where the corresponding fiber core port is located according to the position coordinates, and determining an operating mode of the fiber core port;

[0186] If the brightness data is greater than a preset first brightness threshold, it is considered that the use state of the fiber core port is an enabled state;

[0187] If the brightness data is less than a preset second brightness threshold, it is considered that the use state of the fiber core port is an idle state.

[0188] As a preferred embodiment, the first topology correction module 13 includes:

[0189] A mapping relationship acquisition unit, configured to obtain a physical connection mapping between the optical cross-connection box port and the optical fiber core according to the optical fiber end face image;

[0190] A standby data acquisition unit, configured to filter the fiber core ports that are both in standby mode and idle state from the fiber core state table to obtain standby fiber core activation data;

[0191] a first correction scheme generating unit, configured to adjust the fiber core port connected to the device port according to the physical connection mapping and the spare fiber core activation data, and generate a first topology correction scheme for the optical fiber link;

[0192] The first topology correction unit is configured to correct the initial topology structure of the optical fiber link by adopting the first topology correction scheme to obtain a first topology structure, and update the fiber core state table based on the first topology structure.

[0193] As a preferred embodiment, the overlapping path list screening module 14 includes:

[0194] A new and old path acquisition unit, configured to obtain a current data transmission path and a historical data transmission path according to the first topology structure;

[0195] a traffic distribution statistics unit, configured to monitor a first traffic distribution on the current data transmission path and a second traffic distribution on the historical data transmission path using a traffic collection tool;

[0196] An overlapping path screening unit is configured to use the current data transmission path and the historical data transmission path as an overlapping path list if both the first traffic distribution and the second traffic distribution are greater than a preset traffic distribution threshold and correspond to the same service.

[0197] Furthermore, preferably, the overlapping path screening unit is specifically used to:

[0198] If both the first traffic distribution and the second traffic distribution are greater than a preset traffic distribution threshold and correspond to the same service, a clustering algorithm is used to group the first traffic distribution and the second traffic distribution to obtain a resource-wasting path combination;

[0199] Extracting repeatedly transmitted service data from the resource-wasting path combination to obtain a resource-wasting list;

[0200] An overlapping path list is obtained according to the resource waste list, the current data transmission path and the historical data transmission path.

[0201] As a preferred implementation, the single transmission path acquisition module 15 includes:

[0202] a path feature extraction unit, configured to obtain load data of each path in the overlapping path list and extract path features according to the load data; the path features include load value features and delay grouping;

[0203] A priority acquisition unit, configured to cluster the path features to obtain an optimization priority for each path;

[0204] The path merging unit is configured to merge the paths using a greedy algorithm according to the optimization priority to obtain a single transmission path.

[0205] As a preferred embodiment, the second topology correction module 16 includes:

[0206] a second topology correction unit, configured to adjust the first topology structure according to the single transmission path to obtain a second topology structure;

[0207] a link attenuation value calculation unit, configured to calculate a link attenuation value of the optical fiber link according to the second topology;

[0208] a second correction scheme generating unit, configured to generate a second topology correction scheme according to the second topology structure when the link attenuation value is less than a preset attenuation threshold, and otherwise generate an abnormality flag according to the link attenuation value as the second topology correction scheme;

[0209] The inspection report generating unit is used to update the fiber core status table according to the second topology correction scheme and generate an inspection report.

[0210] An intelligent inspection system for a power distribution communication network provided by an embodiment of the present invention can accurately locate problem areas in optical fiber links, reducing the probability of misjudgment and missed judgment; at the same time, combining image recognition technology and traffic monitoring means to perform two topology corrections can significantly improve network resource utilization, effectively assist the operation and maintenance team in formulating more scientific and reasonable operation and maintenance strategies, comprehensively improve operation and maintenance efficiency and quality, and ensure the stable and efficient operation of the power distribution communication network.

[0211] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a computer-readable storage medium, and when executed, the program can include the processes in the above-described method embodiments. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0212] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. An intelligent inspection method for a power distribution communication network, characterized in that: include: Comparing the real-time detection data of the optical fiber link with the completed image of the project to obtain abnormal attenuation points, and determining abnormal routing sections based on the abnormal attenuation points; Acquire an image of an optical fiber end face in an optical cross-connection box in the abnormal routing section, use an image recognition algorithm to identify the working mode and usage status of the fiber core port, and obtain a fiber core status table; generating a first topology correction scheme for the optical fiber link according to the fiber core state table, and correcting the initial topology structure of the optical fiber link using the first topology correction scheme to obtain a first topology structure; Based on the first topology, traffic distribution is monitored, paths where traffic of the same service appears simultaneously are identified, and a list of overlapping paths is obtained; extracting a load difference between each path in the overlapping path list, and obtaining a single transmission path from the overlapping path list according to the load difference; generating an inspection report including a second topology correction solution according to the single transmission path and the first topology structure; The comparing the real-time detection data of the optical fiber link with the completed image of the project to obtain abnormal attenuation points, and determining abnormal routing segments according to the abnormal attenuation points, includes: Using an optical time domain reflectometry algorithm, the attenuation characteristics of the real-time detection data of the optical fiber link are extracted to obtain a first attenuation distribution map; Extracting static attenuation data based on the completed engineering image of the optical fiber link to generate a second attenuation distribution map; Calculating an attenuation deviation between the first attenuation distribution graph and the second attenuation distribution graph, and obtaining an attenuation abnormality point if the attenuation deviation is greater than a preset deviation threshold; Obtaining corresponding physical routing data according to the attenuation abnormal point, and determining an abnormal routing segment when the physical routing data is inconsistent with the initial topological structure of the completed project image; The extracting the load difference of each path in the overlapping path list and obtaining a single transmission path from the overlapping path list according to the load difference includes: Obtaining load data of each path in the overlapping path list, and extracting path features according to the load data; the path features include load value features and delay grouping; Clustering the path features to obtain the optimization priority of each path; According to the optimization priority, a greedy algorithm is used to merge the paths to obtain a single transmission path.

2. The intelligent inspection method for a power distribution communication network as claimed in claim 1, characterized in that: The step of obtaining an image of an optical fiber end face in the optical cross-connection box in the abnormal routing section, identifying the working mode and usage status of the fiber core port using an image recognition algorithm, and obtaining a fiber core status table includes: Acquire an image of an optical fiber end face in an optical cross-connection box in the abnormal routing section to obtain a first image; Preprocessing the first image to obtain a second image; extracting edge features of the second image using an image edge detection algorithm, and obtaining position coordinates and brightness data of the fiber core port based on the edge features; According to the position coordinates and brightness data, the working mode and usage status of the fiber core port are obtained; the working mode includes a main mode and a standby mode; the usage status includes an enabled state and an idle state; A core status table is formed according to the distribution of the working modes and usage status.

3. The intelligent inspection method for a power distribution communication network as claimed in claim 2, characterized in that: The obtaining of the working mode and usage status of the fiber core port according to the position coordinates and brightness data includes: Obtaining a topological node where a corresponding fiber core port is located according to the position coordinates, and determining an operating mode of the fiber core port; If the brightness data is greater than a preset first brightness threshold, it is considered that the use state of the fiber core port is an enabled state; If the brightness data is less than a preset second brightness threshold, it is considered that the use state of the fiber core port is an idle state.

4. The intelligent inspection method for a power distribution communication network as claimed in claim 1, characterized in that: Generating a first topology correction scheme for the optical fiber link according to the fiber core state table, and correcting the initial topology structure of the optical fiber link using the first topology correction scheme to obtain a first topology structure, including: Obtaining a physical connection mapping between the optical cross-connection box port and the fiber core according to the optical fiber end face image; Filtering the fiber core ports that are in both standby mode and idle state from the fiber core state table to obtain standby fiber core activation data; Adjusting the fiber core port connected to the device port according to the physical connection mapping and the spare fiber core activation data to generate a first topology correction plan for the optical fiber link; The initial topology structure of the optical fiber link is corrected using the first topology correction scheme to obtain a first topology structure, and the fiber core state table is updated based on the first topology structure.

5. The intelligent inspection method for a power distribution communication network as claimed in claim 1, characterized in that: The monitoring of traffic distribution according to the first topology structure, identifying paths where traffic of the same service appears simultaneously, and obtaining a list of overlapping paths includes: According to the first topology structure, a current data transmission path and a historical data transmission path are obtained; Using a traffic collection tool to monitor a first traffic distribution on the current data transmission path and a second traffic distribution on the historical data transmission path; If the first traffic distribution and the second traffic distribution are both greater than a preset traffic distribution threshold and correspond to the same service, the current data transmission path and the historical data transmission path are used as an overlapping path list.

6. The intelligent inspection method for a power distribution communication network as claimed in claim 5, characterized in that: If both the first traffic distribution and the second traffic distribution are greater than a preset traffic distribution threshold and correspond to the same service, the current data transmission path and the historical data transmission path are used as an overlapping path list, including: If both the first traffic distribution and the second traffic distribution are greater than a preset traffic distribution threshold and correspond to the same service, a clustering algorithm is used to group the first traffic distribution and the second traffic distribution to obtain a resource-wasting path combination; Extracting repeatedly transmitted service data from the resource-wasting path combination to obtain a resource-wasting list; An overlapping path list is obtained according to the resource waste list, the current data transmission path and the historical data transmission path.

7. The intelligent inspection method for a power distribution communication network as claimed in claim 1, characterized in that: Generating an inspection report including a second topology correction solution based on the single transmission path and the first topology structure includes: Adjusting the first topology structure according to the single transmission path to obtain a second topology structure; Calculating a link attenuation value of the optical fiber link according to the second topology structure; When the link attenuation value is less than a preset attenuation threshold, a second topology correction plan is generated according to the second topology structure; otherwise, an abnormality flag is generated according to the link attenuation value as the second topology correction plan; According to the second topology correction solution, the fiber core status table is updated and an inspection report is generated.

8. An intelligent inspection system for a power distribution communication network, characterized in that: include: An abnormal routing segment identification module is used to compare the real-time detection data of the optical fiber link with the completed project image to obtain the attenuation abnormal point position, and determine the abnormal routing segment based on the attenuation abnormal point position; A fiber core status table generating module is used to obtain an image of the optical fiber end face in the optical cross-connection box in the abnormal routing section, identify the working mode and usage status of the fiber core port using an image recognition algorithm, and obtain a fiber core status table; A first topology correction module is configured to generate a first topology correction scheme for the optical fiber link according to the fiber core state table, and to correct the initial topology structure of the optical fiber link using the first topology correction scheme to obtain a first topology structure; an overlapping path list screening module, configured to monitor traffic distribution according to the first topology, identify paths where traffic of the same service appears simultaneously, and obtain an overlapping path list; a single transmission path acquisition module, configured to extract a load difference between each path in the overlapping path list and obtain a single transmission path from the overlapping path list according to the load difference; A second topology correction module is configured to generate an inspection report including a second topology correction solution according to the single transmission path and the first topology structure; The abnormal routing segment identification module includes: A first attenuation profile generating unit is configured to extract attenuation characteristics of real-time detection data of an optical fiber link using an optical time domain reflectometry algorithm to obtain a first attenuation profile; A second attenuation distribution map generating unit is configured to extract static attenuation data based on the completed engineering image of the optical fiber link and generate a second attenuation distribution map; an attenuation abnormal point acquisition unit, configured to calculate an attenuation deviation between the first attenuation distribution map and the second attenuation distribution map, and obtain an attenuation abnormal point if the attenuation deviation is greater than a preset deviation threshold; a topology matching unit, configured to obtain corresponding physical routing data according to the attenuation abnormality point, and determine an abnormal routing segment when the physical routing data is inconsistent with the initial topology structure of the completed project image; The single transmission path acquisition module includes: a path feature extraction unit, configured to obtain load data of each path in the overlapping path list and extract path features according to the load data; the path features include load value features and delay grouping; A priority acquisition unit, configured to cluster the path features to obtain an optimization priority for each path; The path merging unit is configured to merge the paths using a greedy algorithm according to the optimization priority to obtain a single transmission path.

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