Communication pipeline fault alarm monitoring device

Abstract

The invention discloses a communication pipeline fault alarm monitoring device, and relates to the technical field of communication pipeline monitoring, the communication pipeline fault alarm monitoring device comprises a plurality of monitoring units, the signal of each monitoring unit is connected with an Internet of Things data collector, and the collected monitoring data is transmitted to a remote control terminal through a network communication module; the network switching module comprises a calculation module and an issuing module; the remote monitoring terminal is provided with an anomaly detection positioning module, a data sharing collaborative management module and an intelligent processing module; according to the invention, monitoring units on each monitoring point in a communication pipeline form a data monitoring network through a WBee ad hoc network technology, so that stable uploading of data of each monitoring point is ensured; the optimal backup route is calculated in advance according to the collected network topology information, and is issued to each router through the controller, so that the network path switching speed after the network communication module fails is improved. The fault problem of the communication pipeline can be accurately positioned by adopting the anomaly detection and geographic positioning technology, and quick response is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of communication pipeline monitoring, and particularly to a communication pipeline fault alarm monitoring device. Background Art

[0002] In daily life, since the conduction loss of light in optical fibers is much lower than that of electricity in electric wires, optical fibers are used for long-distance information transmission. Therefore, a large number of communication pipelines are definitely required in the construction of communication services. Communication pipelines are very important and play a protective role for communication lines. Therefore, the requirements for communication pipelines are also getting higher and higher. Existing communication pipelines are prone to failures after long-term use, and operators cannot directly observe the specific conditions of the internal optical fibers, which brings difficulties to optical fiber splicing repair and troubleshooting, thus increasing the consumption of manpower and material resources for repair and troubleshooting. Therefore, it is necessary to monitor copper pipelines, and a monitoring device is required for monitoring communication pipelines. However, existing monitoring devices are often affected by weather changes, signal blind spots, and even no network signal, which will affect the acquisition and transmission of monitoring data, and then affect the monitoring of the monitored pipelines. And when it is necessary to switch the network when a network failure occurs, although the FRR (Fast Reroute) technology can greatly reduce the switching delay, it is still limited by the convergence time of the routing algorithm and it is difficult to directly switch to the optimal backup path after a failure occurs.

[0003] In addition, existing monitoring devices can detect that a communication pipeline has failed, but maintenance operators cannot determine which specific section of the communication pipeline has failed and need to conduct troubleshooting one by one, increasing the work intensity of the operators. Summary of the Invention

[0004] To solve the problems of the existing technology, the present invention provides a communication pipeline fault alarm monitoring device, which includes a plurality of monitoring units arranged in a communication pipeline. The signal output end of each monitoring unit is electrically connected to an Internet of Things data collector, and the Internet of Things data collector is electrically connected to the WBee router. The Internet of Things data collectors of multiple acquisition units are all connected to a WBee coordinator arranged at the central monitoring point in the communication pipeline; the WBee routers of multiple acquisition units are interconnected to form a self-organizing network, and several monitoring units communicate with each other through the self-organizing network;

[0005] The monitoring data collected by the Internet of Things data collector is transmitted to a remote control terminal through a network communication module; the network communication module realizes network switching through a network fault switching device;

[0006] The network switching module includes a calculation module and a distribution module;

[0007] The computing module is configured to calculate backup routes according to network topology information, including: the controller enumerates one or more potential failure events in the network, and each failure event includes a link or a node in the network failing; and, for each potential failure event, the controller determines the backup route information corresponding to each router in the case of the occurrence of the potential failure event;

[0008] The distribution module is configured to distribute the backup route information to the routers in the network so that the routers can switch paths according to the backup route information in the case of a network failure;

[0009] The remote monitoring terminal is provided with an anomaly detection and location module, a data sharing and collaborative management module, and an intelligent processing module;

[0010] The remote monitoring terminal generates a real-time monitoring log based on the monitoring data;

[0011] The anomaly detection and location module generates an anomaly detection report and anomaly location information based on the real-time monitoring log by using an anomaly detection algorithm and a geolocation technology;

[0012] The data sharing and collaborative management module performs data sharing by using edge computing based on the anomaly detection report and the anomaly location information, and generates a shared database and a collaborative management strategy;

[0013] The intelligent processing module generates a fault handling report based on the shared database and the collaborative management strategy by using a decision tree and a linear programming algorithm.

[0014] In a further solution, each of the monitoring units includes a temperature monitoring unit, a humidity monitoring unit, and an optical power monitoring unit. The temperature monitoring unit uses a temperature sensor to monitor the surface temperature of the optical fiber in real time. The humidity monitoring unit uses a humidity sensor to monitor the humidity inside the optical fiber junction box in real time. The optical power monitoring unit uses an optical power meter to monitor the power attenuation of the optical fiber in real time.

[0015] In a further solution, the controller determines the optimal path composed of other links other than the link involved in the fault in the case of the occurrence of the potential failure event, and determines the backup route information corresponding to each router according to the optimal path;

[0016] The optimal path is any one of the shortest path, the path with the minimum delay, and the path with the optimal bandwidth.

[0017] A further solution is that the controller uses the shortest path tree algorithm to determine an optimal path composed of links other than the links involved in the fault in the event of the potential fault event, where the path weight of the shortest path tree algorithm includes at least one of the distance, bandwidth, and delay between routers or the weighted result of at least two of the distance, bandwidth, and delay.

[0018] A further solution is that in the event of a network fault in the network communication module, the router switches the path according to the backup routing information issued by the controller.

[0019] A further solution is that the anomaly detection and location module includes a data mining sub-module, an anomaly detection sub-module, and a precise location sub-module;

[0020] The data sharing and collaborative management module includes a data integration sub-module, a data sharing sub-module, and a collaborative management sub-module;

[0021] The intelligent processing module includes a data analysis sub-module, a comprehensive evaluation sub-module, and a processing generation sub-module.

[0022] A further solution is that the data mining sub-module generates a data cluster distribution based on real-time monitoring logs through a clustering algorithm;

[0023] The anomaly detection sub-module performs anomaly detection using the isolation forest algorithm according to the data cluster distribution and generates an anomaly detection result;

[0024] The precise location sub-module performs precise location through geocoding technology based on the anomaly detection result and generates anomaly location information.

[0025] A further solution is that the data integration sub-module performs data integration through ETL technology based on the anomaly location information and generates integrated data;

[0026] The data sharing sub-module generates a shared data link using Web service technology based on the integrated data;

[0027] The collaborative management sub-module performs permission management using the RBAC algorithm based on the shared data link and generates a collaborative management strategy.

[0028] A further solution is that the data analysis sub-module extracts the key data characteristics of the communication pipeline through the principal component analysis method based on the shared database and the collaborative management strategy and generates a key data feature report;

[0029] The comprehensive evaluation sub-module evaluates the real-time status of the anomaly location of the communication pipeline using the fuzzy evaluation method based on the key data feature report and generates a communication pipeline monitoring report;

[0030] The decision-making generation sub-module formulates fault handling measures and generates a fault handling report according to the communication pipeline monitoring report by using a multi-criteria decision-making method.

[0031] A further solution is that the remote control terminal is further provided with a VR simulation unit. The VR simulation unit uses VR virtual reality technology to construct a three-dimensional scene of the communication pipeline. When a fault occurs in the communication pipeline that needs to be processed, on-site simulation maintenance is carried out through VR devices.

[0032] Advantages of the present invention:

[0033] In the present invention, the monitoring units at each monitoring point in the communication pipeline are formed into a data monitoring network through WBee self-organizing network technology. When a certain monitoring unit is unable to transmit the collected data, the data can be transmitted to another monitoring unit with good network signal through the data monitoring network for data transmission, ensuring the stable upload of data at each monitoring point.

[0034] The present invention pre-calculates the optimal backup route according to the collected network topology information and distributes it to each router through the controller. Thus, when a fault occurs in the network communication module, without waiting for the routing protocol to converge, each router can directly switch the path quickly according to the obtained optimal backup route information, improving the network path switching speed after the network communication module fails.

[0035] The present invention can accurately locate the communication pipeline fault problem by using anomaly detection and geolocation technologies, realizing rapid response. Through edge computing, the collaborative work and data sharing of operators are realized, improving the fault response and handling efficiency. Using decision tree and linear programming algorithms to generate reasonable and economical fault handling solutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic structural diagram of a communication pipeline fault alarm monitoring device provided by an embodiment of the present invention;

[0037] Figure 2 It is a schematic structural diagram of a network switching module provided by an embodiment of the present invention;

[0038] Figure 3 It is a schematic structural diagram of a remote control terminal provided by an embodiment of the present invention;

[0039] Figure 4 It is a schematic structural diagram of a monitoring unit provided by an embodiment of the present invention; DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention.

[0041] AsFigures 1-4 As shown in Figures 1-4 , an embodiment of the present invention discloses a communication pipeline fault alarm monitoring device, which includes a plurality of monitoring units arranged in the communication pipeline. The signal output end of each monitoring unit is electrically connected to an Internet of Things data collector, and the Internet of Things data collector is electrically connected to a WBee router. The Internet of Things data collectors of multiple acquisition units are all connected to a WBee coordinator arranged at the central monitoring point in the communication pipeline; the WBee routers of multiple acquisition units are interconnected to form an ad-hoc network, and several monitoring units communicate with each other through the ad-hoc network; the monitoring data collected by the Internet of Things data collector is transmitted to the remote control terminal through the network communication module;

[0042] Through the above settings, the embodiment of the present invention can achieve that since the WBee routers of multiple acquisition units are interconnected to form an ad-hoc network, and multiple acquisition units communicate with each other through the ad-hoc network. When the network signal of the network communication module at a certain monitoring point in the communication pipeline is poor or even has no signal, the remote control terminal controls the Internet of Things data collector of another monitoring unit with a good network signal to receive the monitoring data sent by the monitoring unit with a poor network signal through the ad-hoc network, and transmits the monitoring data to the remote control terminal through the network communication module for monitoring.

[0043] That is to say, the embodiment of the present invention forms a data acquisition network for the monitoring units at each monitoring point through the WBee ad-hoc network technology. When the data collected by a certain monitoring unit cannot be uploaded to the monitoring in real time, the data can be transmitted to another monitoring unit with a good network signal through the data acquisition network for data uploading. This ensures the stable and real-time uploading of data at each monitoring point.

[0044] In this embodiment, each monitoring unit includes a temperature monitoring unit, a humidity monitoring unit, and an optical power monitoring unit. The temperature monitoring unit uses a temperature sensor to monitor the surface temperature of the optical fiber in real time, the humidity monitoring unit uses a humidity sensor to monitor the humidity inside the optical fiber junction box in real time, and the optical power monitoring unit uses an optical power meter to monitor the power attenuation of the optical fiber in real time.

[0045] Through the above settings, the embodiment of the present invention can achieve the collection of temperature, humidity, and power attenuation data of the communication pipeline through the temperature monitoring unit, the humidity monitoring unit, and the optical power monitoring unit. Thus, the state of each section of the entire communication pipeline can be further understood.

[0046] The network communication module realizes network switching through a network fault switching device;

[0047] The network switching module includes a calculation module and a distribution module;

[0048] The calculation module is configured to calculate backup routes according to network topology information, including: the controller enumerates one or more potential failure events in the network, and each failure event includes a link or a node in the network failing; and, for each potential failure event, the controller determines the backup route information corresponding to each router in the case of the potential failure event occurring.

[0049] It should be noted that the controller in the embodiments of the present invention may be an SDN (Software Defined Network) controller. Of course, the controller may also be a controller of other functional types, and the embodiments of the present invention do not limit this.

[0050] Before a failure actually occurs, the backup route information in the case of a failure can be calculated in advance.

[0051] The distribution module is configured to distribute the backup route information to the routers in the network so that the routers can switch paths according to the backup route information in the case of a network failure.

[0052] It should be noted that the controller in the embodiments of the present invention may use protocols such as OpenFlow to distribute the backup route information.

[0053] In this embodiment, the controller determines the optimal path composed of other links except the link involved in the failure in the case of a potential failure event occurring, and determines the backup route information corresponding to each router according to the optimal path; the optimal path is any one of the shortest path, the path with the minimum delay, and the path with the optimal bandwidth.

[0054] Through the above settings, the embodiments of the present invention can achieve that when a failure occurs in the network communication module for data transmission to the remote terminal, the shortest link, the link with the minimum delay, and the link with the maximum bandwidth can be used as the switched link to improve the network communication performance as much as possible.

[0055] When determining the optimal path, the controller may use the Shortest Path First (SPF) algorithm. The path weight of the shortest path tree algorithm is, for example, at least one of the distance, bandwidth, and delay between routers or the weighted result of at least two of the distance, bandwidth, and delay as the path weight. Thus, the goal of network quality can be set as needed, and the optimal path can be calculated according to this goal.

[0056] The controller can pre - distribute multiple determined backup routing information to each router in advance, so that each router can find the corresponding backup routing information by itself. In some embodiments, in response to a current network failure, the router detects the current failure event; the router switches the path according to the backup routing information corresponding to the current failure event. Each backup routing information stored in the router is the routing information of the optimal path corresponding to each failure event.

[0057] Thus, the router can pre - store multiple backup routing information and find the corresponding backup routes and perform switching by itself according to the actual failure situation, reducing the amount of data interacted with the controller.

[0058] In this embodiment, in the case of a network failure in the network communication module, the router switches the path according to the backup routing information issued by the controller.

[0059] Through the above settings, the embodiments of the present invention can enable the controller to pre - calculate the optimal backup routes according to the collected network topology information and distribute them to each router. Thus, when a network failure occurs, without waiting for the routing protocol to converge, each router can directly implement fast switching of the path according to the obtained optimal backup routing information, improving the network path switching speed after a network failure.

[0060] The remote monitoring terminal is provided with an anomaly detection and location module, a data sharing and collaborative management module, and an intelligent processing module;

[0061] The remote monitoring terminal generates a real - time monitoring log based on the monitoring data;

[0062] Based on the real - time monitoring log, the anomaly detection and location module uses anomaly detection algorithms and geolocation technologies to generate an anomaly detection report and anomaly location information;

[0063] Based on the anomaly detection report and anomaly location information, the data sharing and collaborative management module uses edge computing for data sharing to generate a shared database and a collaborative management strategy;

[0064] Based on the shared database and the collaborative management strategy, the intelligent processing module uses decision trees and linear programming algorithms to generate a fault handling report.

[0065] In this embodiment, the anomaly detection and location module includes a data mining sub - module, an anomaly detection sub - module, and a precise location sub - module;

[0066] In the embodiments of the present invention, the data mining sub - module of the anomaly detection and location module uses data mining algorithms and technologies to extract valuable information from the monitoring data. The anomaly detection sub - module can accurately detect the abnormal conditions of the communication pipeline. The precise location sub - module can accurately locate the specific location of the problem based on the monitoring data and location technologies.

[0067] The data sharing and collaborative management module includes a data integration sub-module, a data sharing sub-module, and a collaborative management sub-module;

[0068] In the embodiment of the present invention, the data integration sub-module of the data sharing and collaborative management module can integrate different monitoring data into a shared database, improving data consistency and accessibility. The data sharing sub-module uses the network communication module to achieve real-time data sharing and transmission. The collaborative management sub-module can coordinate the work of communication pipeline maintenance personnel, improving the collaborative efficiency of fault handling.

[0069] The intelligent processing module includes a data analysis sub-module, a comprehensive evaluation sub-module, and a processing generation sub-module.

[0070] In the embodiment of the present invention, the data analysis sub-module of the intelligent processing module can analyze and process relevant data, providing support for subsequent comprehensive evaluation. The comprehensive evaluation sub-module can comprehensively consider multiple factors to evaluate the need for repair of communication pipeline failures. The processing production sub-module generates a fault handling report based on the evaluation results.

[0071] In this embodiment, the data mining sub-module generates a data cluster distribution based on real-time monitoring logs through a clustering algorithm;

[0072] The anomaly detection sub-module performs anomaly detection using the isolation forest algorithm based on the data cluster distribution, generating an anomaly detection result;

[0073] The precise positioning sub-module performs precise positioning through geocoding technology based on the anomaly detection result, generating anomaly location information.

[0074] In the embodiment of the present invention, through the above settings, it is possible to use the data mining sub-module to mine data based on real-time monitoring logs using a clustering algorithm to generate a data cluster distribution. Such a data mining process can help the system understand the data situation and identify different data clusters. Then, the anomaly detection sub-module performs anomaly detection using the isolation forest algorithm based on the data cluster distribution. This algorithm can quickly and accurately detect outliers according to the characteristics and distribution of the data. By applying this algorithm, the system can identify anomalies in the communication pipeline monitoring data and generate an anomaly detection result. Then, the precise positioning sub-module, based on the anomaly detection result, uses geocoding technology to precisely locate the anomaly location. This technology can convert the anomaly location information into specific geographical coordinates or specific areas for subsequent response and processing.

[0075] In this embodiment, the data integration sub-module performs data integration through ETL technology based on the anomaly location information, generating integrated data;

[0076] The data sharing sub-module generates a shared data link based on the integrated data using Web service technology;

[0077] The collaborative management sub-module performs permission management using the RBAC algorithm based on the shared data link and generates a collaborative management strategy.

[0078] Through the above settings, the data integration sub-module of the data sharing and collaborative management module in the embodiment of the present invention can perform data integration based on the anomaly detection results and anomaly location information using ETL (Extract, Transform, and Load) technology. This process can extract, transform, and load data from different data sources to generate integrated data. Such a data integration process helps to integrate and unify data from different sources, improving data consistency and availability. Then, the data sharing sub-module generates a shared data link based on the integrated data using Web service technology. By providing a unified data interface, relevant personnel can access and obtain the shared data through the network. Such a data sharing method improves data accessibility and shareability, enabling different departments and systems to share data and achieve mutual communication and collaborative work. Then, the collaborative management sub-module performs permission management using the RBAC (Role-Based Access Control) algorithm based on the shared data link and generates a collaborative management strategy. The RBAC algorithm can perform access control based on the roles and permissions of users to ensure that only personnel with appropriate permissions can access and operate the corresponding data. Through the collaborative management strategy, the system can achieve permission control and management of the shared data, ensuring data security and compliance.

[0079] In this embodiment, the data analysis sub-module extracts the key data characteristics of the communication pipeline and generates a key data feature report through the principal component analysis method based on the shared database and the collaborative management strategy;

[0080] The comprehensive evaluation sub-module evaluates the real-time status of the anomaly location of the communication pipeline using the fuzzy evaluation method based on the key data feature report and generates a communication pipeline monitoring report;

[0081] The decision-making generation sub-module formulates fault handling measures using the multi-criteria decision-making method based on the communication pipeline monitoring report and generates a fault handling report.

[0082] In the embodiment of the present invention, through the above settings, the data analysis sub-module can extract the key data characteristics of the communication pipeline based on the shared database and the collaborative management strategy, and generate a key data feature report by using the principal component analysis method. This helps to identify and analyze the key data in the communication pipeline monitoring data. Then, based on the key data feature report, the comprehensive evaluation sub-module uses the fuzzy evaluation method to evaluate the real-time status of the abnormal location of the communication pipeline and generate a communication pipeline monitoring report. Then, according to the communication pipeline monitoring report, the decision-making generation sub-module uses the multi-criteria decision-making method to formulate fault handling measures and generate a fault handling report. Based on the fault handling report and the relevant fault handling manuals, the handling measures for different faults are formulated to ensure the stable operation of the communication pipeline.

[0083] In this embodiment, the remote control terminal is further provided with a VR simulation unit. The VR simulation unit uses VR virtual reality technology to construct a three-dimensional scene of the communication pipeline. When a fault occurs in the communication pipeline and needs to be processed, on-site simulation maintenance is carried out through VR devices.

[0084] In the embodiment of the present invention, by setting the VR simulation unit, the monitoring device can construct a three-dimensional scene of the communication pipeline based on VR virtual reality technology. When a fault occurs in the communication pipeline and needs to be processed, on-site simulation is carried out through VR devices, so that maintenance personnel can quickly understand the on-site situation and simulate maintenance, improving the accuracy of fault repair and reducing accidents during the actual operation of employees.

[0085] Finally, it should be noted that the above only describes the specific embodiments of the present invention in detail. However, the present invention is not limited to the above-described specific embodiments. Equivalent modifications and substitutions made by those skilled in the art to the present invention are also within the scope of the present invention. Therefore, all equivalent transformations and modifications made without departing from the spirit and scope of the present invention are covered by the present invention.

Claims

1. A communication pipeline fault alarm monitoring device, characterized in that: It comprises a plurality of monitoring units arranged in a communication pipeline, wherein the signal output end of each monitoring unit is electrically connected to an Internet of Things data collector, the Internet of Things data collector is electrically connected to the WBee router, and the Internet of Things data collectors of a plurality of collection units are all connected to a WBee coordinator arranged at a central monitoring point in the communication pipeline; the WBee routers of a plurality of the collection units are interconnected to form an ad hoc network, and a plurality of the monitoring units communicate with each other through the ad hoc network; The monitoring data collected by the Internet of Things data collector is transmitted to the remote control terminal through the network communication module; the network communication module realizes network switching through the network fault switching device; The network switching module includes a calculation module and a sending module; The calculation module is configured to calculate the backup route according to the network topology information, including: the controller lists one or more potential failure events in the network, each failure event includes a failure of a link or a node in the network; and for each potential failure event, the controller determines the backup route information corresponding to each router in the event of the potential failure event; The sending module is configured to send the backup routing information to the routers in the network so that the routers can switch paths according to the backup routing information in case of a network failure; The remote monitoring terminal is provided with an abnormality detection and positioning module, a data sharing and collaborative management module and an intelligent processing module; The remote monitoring terminal generates a real-time monitoring log based on the monitoring data; The anomaly detection and positioning module generates anomaly detection reports and anomaly location information based on real-time monitoring logs using anomaly detection algorithms and geolocation technology; The data sharing collaborative management module uses edge computing to share data based on anomaly detection reports and anomaly location information, and generates a shared database and collaborative management strategy; The intelligent processing module generates a fault handling report based on a shared database and collaborative management strategy, using a decision tree and linear programming algorithm.

2. A communication pipeline fault alarm monitoring device according to claim 1, characterized in that: Each of the monitoring units includes a temperature monitoring unit, a humidity monitoring unit and an optical power monitoring unit. The temperature monitoring unit uses a temperature sensor to monitor the surface temperature of the optical fiber in real time. The humidity monitoring unit uses a humidity sensor to monitor the humidity inside the optical fiber junction box in real time. The optical power monitoring unit uses an optical power meter to monitor the power attenuation of the optical fiber in real time.

3. A communication pipeline fault alarm monitoring device according to claim 1, characterized in that: The controller determines, in the event of the potential failure event, an optimal path formed by other links other than the link involved in the failure, and determines backup routing information corresponding to each router according to the optimal path; The optimal path is any one of the shortest path, the path with the minimum delay, and the path with the optimal bandwidth.

4. A communication pipeline fault alarm monitoring device according to claim 3, characterized in that: The controller uses a shortest path tree algorithm to determine the optimal path composed of other links other than the link involved in the fault in the event of the potential fault event, wherein the path weight of the shortest path tree algorithm includes at least one of the distance, bandwidth, and delay between routers, or a weighted result of at least two of the distance, bandwidth, and delay.

5. A communication pipeline fault alarm monitoring device according to claim 1, characterized in that: In the event of a network failure in the network communication module, the router switches the path according to the backup routing information sent by the controller.

6. A communication pipeline fault alarm monitoring device according to claim 1, characterized in that: The anomaly detection and positioning module includes a data mining submodule, an anomaly detection submodule, and a precise positioning submodule; The data sharing collaborative management module includes a data integration submodule, a data sharing submodule, and a collaborative management submodule; The intelligent processing module includes a data analysis submodule, a comprehensive evaluation submodule, and a processing generation submodule.

7. A communication pipeline fault alarm monitoring device according to claim 6, characterized in that: The data mining submodule generates data cluster distribution based on real-time monitoring logs through clustering algorithms; The anomaly detection submodule uses the isolation forest algorithm to perform anomaly detection based on the data cluster distribution and generates anomaly detection results; The precise positioning submodule performs precise positioning based on the anomaly detection result through geocoding technology to generate anomaly location information.

8. A communication pipeline fault alarm monitoring device according to claim 6, characterized in that: The data integration submodule integrates data based on the abnormal location information through ETL technology to generate integrated data; The data sharing submodule generates a shared data link based on the integrated data using Web service technology; The collaborative management submodule uses the RBAC algorithm to perform authority management based on shared data links and generate collaborative management strategies.

9. A communication pipeline fault alarm monitoring device according to claim 1, characterized in that: The data analysis submodule extracts key data characteristics of the communication pipeline and generates a key data feature report based on a shared database and collaborative management strategy through principal component analysis; The comprehensive evaluation submodule uses a fuzzy evaluation method based on the key data feature report to evaluate the real-time status of the abnormal position of the communication pipeline and generate a communication pipeline monitoring report; The decision generation submodule adopts a multi-criteria decision-making method according to the communication pipeline monitoring report, formulates fault handling measures, and generates a fault handling report.

10. A communication pipeline fault alarm monitoring device according to claim 1, characterized in that: The remote control terminal is also provided with a VR simulation unit, which uses VR virtual reality technology to construct a three-dimensional scene of the communication pipeline. When a communication pipeline fails and needs to be processed, on-site simulated maintenance is performed through VR equipment.

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