Intelligent fault detection method in communication network

Abstract

The invention discloses an intelligent fault detection method in a communication network. The method comprises the following steps: carrying out transformation optimization and noise reduction management on electric power communication network signals; performing selection management on the wavelet scale of the electric power communication network signal; fault detection, analysis and management of the power communication network are carried out; transmitting and querying fault detection data information of the power communication network; the step of carrying out transformation optimization and noise reduction management on the electric power communication network signal comprises the following steps of: detecting an operation transmission signal of an electric power communication network by adopting a wavelet singularity detection method, and dividing an initial signal in the electric power communication network into an even sequence and an odd sequence according to a serial number of electric power communication equipment, carrying out optimization management on wavelet transform processing; and after completing the optimization design of wavelet transform processing, carrying out noise reduction processing on an OTDR curve signal in the electric power communication network, and filtering high-frequency information through a set threshold to weaken a noise signal. The system has the characteristics of intelligent management and control analysis and high stability.

Description

Technical Field

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

[0002] Due to the characteristics of good confidentiality, large capacity, and strong anti-interference ability, power optical fiber has been widely used in power system communications and undertakes more than 95% of power communication business. The good transmission performance, adaptive protection recovery capability and reliable stability of power optical fiber play a vital role in optical fiber relay protection work. As a key component of the power communication network, the stability and reliability of power optical fiber are of great significance to the entire power grid. The informatization construction of power enterprises is developing rapidly, and the construction scale of power communication networks is also expanding. Simply relying on manual processing of communication resources and management of communication networks can no longer adapt to the characteristics of large amount, variety, rapid change and complex management of line equipment. At present, there is a problem of low efficiency in fault detection and processing. Once a power optical fiber fails, it will cause communication interruption, especially relay protection business interruption, which may cause power grid accidents and cause significant losses. Therefore, it is necessary to design an intelligent fault detection method in a communication network with intelligent control analysis and strong stability. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent fault detection method in a communication network to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent fault detection method in a communication network, comprising: Perform transformation optimization and noise reduction management on power communication network signals; Select and manage the wavelet scale of power communication network signals; Conduct fault detection, analysis and management of power communication networks; Conduct transmission query of power communication network fault detection data information; The transformation optimization and noise reduction management of the power communication network signal includes: The wavelet singularity detection method is used to detect the operation transmission signal of the power communication network, and the initial signal in the power communication network is divided into an even sequence and an odd sequence according to the serial number of the power communication equipment, and the wavelet transform processing is optimized and managed; After completing the optimization design of wavelet transform processing, the OTDR curve signal in the power communication network is subjected to noise reduction processing, and the noise signal is weakened by filtering the high-frequency information through a set threshold.

[0005] According to the above technical solution, the selection and management of the wavelet scale of the power communication network signal includes: According to the calculation results of the signal-to-noise ratio of the power communication network signal, the wavelet scale is selected and managed so that the signal-to-noise ratio data and the selected wavelet scale are kept within the set range data.

[0006] According to the above technical solution, the fault detection, analysis and management of the power communication network includes: After the power communication network is layered to generate power communication network layers with different sparsity levels, the next adjacent node that meets the set information is searched on different power communication network layers for merging according to the distance between the current node and the target node.

[0007] According to the above technical solution, the fault detection, analysis and management of the power communication network further includes: After decomposing the intersecting arc objects on the GIS map into multiple arc objects in the order of intersection points, delete redundant nodes and overlapping arc objects, merge false nodes and adjacent nodes, check topological errors, and finally build a network topology model based on the vector map data of the network to generate the topological relationship of interconnected nodes and arcs; After completing the construction of the network topology model, the optical fiber fault point and the repair vehicle position are located on the GIS map based on the received fault detection result data to obtain the path planning result.

[0008] According to the above technical solution, the transmission query of the power communication network fault detection data information includes: The obtained path planning result information is transmitted to the emergency repair workbench for emergency repair staff to review and process; The fault detection data of the power communication network is stored in a database and interacted with the staff to retrieve, store, query and manage the data information.

[0009] According to the above technical solution, an intelligent fault detection system in a communication network includes: A control processing module, used for controlling and processing power communication network signals; Analysis and management module, used to analyze and control the fault detection and processing of the power communication network; The notification query module is used to perform notification query management of data information.

[0010] According to the above technical solution, the control processing module includes: Transform optimization module, used to optimize the wavelet transform of power communication network signals; A signal noise reduction module is used to perform noise reduction processing on power communication network signals; The scale selection module is used to select the scale for wavelet processing.

[0011] According to the above technical solution, the analysis management module includes: A network layering module is used for performing network layering control processing; Model building module, used for network model building management; The planning and analysis module is used to carry out planning, analysis and processing of emergency repair routes.

[0012] According to the above technical solution, the notification query module includes: Notification transmission module, used for notification transmission of data information; The query management module is used to query and control fault information.

[0013] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by providing a control processing module, an analysis management module and a notification query module, makes the detection and identification of power communication network signals more efficient and accurate, effectively removes noise in OTDR signals, reduces interference from other factors, and effectively reduces the number of nodes and the scale of the power communication network, making fault detection operation analysis more convenient and stable, and improving the efficiency of fault handling path planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 is a flow chart of an intelligent fault detection method in a communication network provided by Embodiment 1 of the present invention; Figure 2 This is a module structure diagram of an intelligent fault detection system in a communication network provided in Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] Embodiment 1: Figure 1 This is a flow chart of an intelligent fault detection method in a communication network provided by Embodiment 1 of the present invention. This embodiment can be applied to a system. The method can be executed by an intelligent fault detection system in a communication network provided by an embodiment of the present invention. The system is composed of multiple software and hardware modules, such as Figure 1 As shown, the method specifically comprises the following steps: S101, performing conversion optimization and noise reduction management on power communication network signals; Exemplarily, in an embodiment of the present invention, a wavelet singularity detection method is used to detect the operating transmission signal of the power communication network, and the initial signal in the power communication network is divided into an even sequence and an odd sequence according to the serial number of the power communication equipment, and the wavelet transform processing is optimized and managed; since a certain point of the signal in the power communication network and an irregular mutation part (such as an abnormal time-varying signal, a transient signal, etc.) often contain rich information for pattern recognition in the operation of the equipment, in signal processing and fault diagnosis, accurately and quickly determining the singular point appearing in the signal can make fault detection more efficient. Therefore, through this step, the wavelet singularity detection method is used to make the detection and identification of the power communication network signal more efficient and accurate. At the same time, according to the serial number of the power communication equipment, the initial signal in the power communication network is divided into an even sequence and an odd sequence, and the detail signal data is obtained by subtracting the even sequence from the estimated odd sequence. The even sequence and the odd sequence are further updated and supplemented in combination with the set overview signal, and then the initial signal is restored after merging, and the optimization of the wavelet transform is completed, so that the wavelet transform processing is more efficient and accurate, and the error generation is reduced.

[0017] After completing the optimization design of wavelet transform processing, the OTDR curve signal in the power communication network is subjected to noise reduction processing, and the noise signal is weakened by filtering the high-frequency information through a set threshold value; since the actual operation of the optical fiber to be tested is well reflected in the OTDR curve signal, the abnormal condition of the optical fiber can be detected by analyzing the signal, but it is very difficult to distinguish the actual operation of the optical fiber to be tested from the high-frequency part of the noise, and it is difficult for the traditional signal denoising method to fully suppress the noise. Therefore, through this step, the OTDR curve signal is first subjected to wavelet transform, and the high-frequency information is filtered through a set threshold value. After the noise is weakened, the wavelet transform optimization processing is performed to highlight the noise information, which can effectively remove the noise in the OTDR signal, and at the same time, the actual operation of the optical fiber to be tested is still retained in the curve.

[0018] S102, selecting and managing the wavelet scale of the power communication network signal; Exemplarily, in an embodiment of the present invention, the wavelet scale is selected and managed according to the calculation result of the signal-to-noise ratio of the power communication network signal, so that the signal-to-noise ratio data and the selected wavelet scale are kept within the set range data; because the selected wavelet scale is too large, it will lead to an increase in the amount of calculation for the operation analysis of the power communication network, resulting in the loss of some important local features of the signal, affecting the detection of optical fiber faults. At the same time, the larger the wavelet scale, the more obvious the different characteristics of the signal and noise, and the more beneficial it is to the separation of the signal and noise. If the selected wavelet scale is too small, the separation effect is not obvious, and it is impossible to determine whether there is a singular point on the OTDR curve. Therefore, through this processing, the signal-to-noise ratio data and the selected wavelet scale are kept within the set range data, which can make fault detection more efficient and stable, and reduce interference from other factors.

[0019] S103, performing fault detection, analysis and management of the electric power communication network; Exemplarily, in an embodiment of the present invention, the power communication network is layered to generate power communication network layers with different degrees of sparsity, and then, according to the distance between the current node and the target node, the next adjacent node that meets the set information is searched on different power communication network layers for merging processing; in this step, the shortest distance D from all nodes in the power communication network to the starting point or the end point is calculated, and the nodes whose D is less than the custom parameter R (the lower limit of the length from the starting point or the end point) are removed. The processed power communication network is used as a primary simplified power communication network. For the primary simplified power communication network, it is determined whether each node therein meets the custom removal conditions (such as network level). If the conditions are met, the node is removed, and a virtual edge is generated to connect the previous node and the next node corresponding to the node. The generated network layers are merged, which can effectively reduce the number of nodes and the scale of the power communication network, making fault detection and operation analysis more convenient and stable.

[0020] After decomposing the intersecting arc objects on the GIS map into multiple arc objects in the order of intersection points, delete redundant nodes and overlapping arc objects, merge false nodes and adjacent nodes, check topological errors, and finally build a network topology model based on the vector map data of the network to generate the topological relationship of interconnected nodes and arcs; in this step, through model construction, GIS technology can manage the vector maps of transportation road networks and power communication networks, and improve the efficiency of subsequent fault handling path planning.

[0021] After the network topology model is constructed, the fiber optic fault point and the location of the repair vehicle are located on the GIS map based on the received fault detection result data, and the path planning result is obtained. In this step, when the inspection personnel find a fiber optic fault, the specific location of the fiber optic fault is transmitted to the network topology model through the mobile GIS device. According to the fiber optic fault point and the location of the repair vehicle, the optimal path for fault repair is planned through the network topology model.

[0022] S104, performing transmission query of power communication network fault detection data information; Exemplarily, in an embodiment of the present invention, the obtained path planning result information is transmitted to a repair workstation for the repair staff to review and process; The fault detection data of the power communication network is stored in a database and interacted with the staff to retrieve, store, query and manage the data information.

[0023] Embodiment 2: Embodiment 2 of the present invention provides an intelligent fault detection system in a communication network. Figure 2 A schematic diagram of the module structure of an intelligent fault detection system in a communication network provided in the second embodiment, such as Figure 2 As shown, the system includes: A control processing module, used for controlling and processing power communication network signals; Analysis and management module, used to analyze and control the fault detection and processing of the power communication network; The notification query module is used to manage the notification query of data information.

[0024] In some embodiments of the present invention, the control processing module includes: Transform optimization module, used to optimize the wavelet transform of power communication network signals; A signal noise reduction module, used for performing noise reduction processing on power communication network signals; The scale selection module is used to select the scale for wavelet processing.

[0025] In some embodiments of the present invention, the analysis management module includes: A network layering module is used for performing network layering control processing; Model building module, used for network model building management; The planning and analysis module is used to carry out planning, analysis and processing of emergency repair routes.

[0026] In some embodiments of the present invention, the notification query module includes: Notification transmission module, used for notification transmission of data information; The query management module is used to query and control fault information.

[0027] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0028] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent fault detection method in a communication network, characterized in that: include: Perform transformation optimization and noise reduction management on power communication network signals; Select and manage the wavelet scale of power communication network signals; Conduct fault detection, analysis and management of power communication networks; Conduct transmission query of power communication network fault detection data information; The transformation optimization and noise reduction management of the power communication network signal includes: The wavelet singularity detection method is used to detect the operation transmission signal of the power communication network, and the initial signal in the power communication network is divided into an even sequence and an odd sequence according to the serial number of the power communication equipment. The detail signal data is obtained by subtracting the even sequence from the estimated odd sequence, and then the even sequence and the odd sequence are combined and restored after being updated and supplemented with the set overview signal, thus completing the optimization management of the wavelet transform processing; After completing the optimization design of wavelet transform processing, the OTDR curve signal in the power communication network is subjected to noise reduction processing, and the noise signal is weakened by filtering the high-frequency information through a set threshold; The selection and management of the wavelet scale of the power communication network signal includes: According to the calculation results of the signal-to-noise ratio of the power communication network signal, the wavelet scale is selected and managed so that the signal-to-noise ratio data and the selected wavelet scale are kept within the set range data; The fault detection, analysis and management of the power communication network includes: After the power communication network is layered to generate power communication network layers with different sparsity levels, the next adjacent node that meets the set information is searched on different power communication network layers for merging according to the distance between the current node and the target node.

2. The intelligent fault detection method in a communication network according to claim 1, characterized in that: The fault detection, analysis and management of the power communication network further includes: After decomposing the intersecting arc objects on the GIS map into multiple arc objects in the order of intersection points, the redundant nodes and overlapping arc objects are deleted, the false nodes and adjacent nodes are merged, the topological errors are checked, and finally the network topology model is constructed according to the vector map data of the network to generate the topological relationship of interconnected nodes and arcs.

3. The intelligent fault detection method in a communication network according to claim 2, characterized in that: The fault detection, analysis and management of the power communication network further includes: After completing the construction of the network topology model, the optical fiber fault point and the repair vehicle position are located on the GIS map based on the received fault detection result data to obtain the path planning result.

4. The intelligent fault detection method in a communication network according to claim 3, characterized in that: The transmission query of the power communication network fault detection data information includes: The obtained path planning result information is transmitted to the emergency repair workbench for emergency repair staff to review and process; The fault detection data of the power communication network is stored in a database and interacted with the staff to retrieve, store, query and manage the data information.

5. An intelligent fault detection system in a communication network, characterized in that: include: A control processing module, used for controlling and processing power communication network signals; Analysis and management module, used to analyze and control the fault detection and processing of the power communication network; The notification query module is used to manage the notification query of data information.

6. The intelligent fault detection system in a communication network according to claim 5, characterized in that: The control processing module comprises: Transform optimization module, used to optimize the wavelet transform of power communication network signals; A signal noise reduction module, used for performing noise reduction processing on power communication network signals; The scale selection module is used to select the scale for wavelet processing.

7. The intelligent fault detection system in a communication network according to claim 5, characterized in that: The analysis management module includes: A network layering module is used for performing network layering control processing; Model building module, used for network model building management; The planning and analysis module is used to carry out planning, analysis and processing of emergency repair routes.

8. The intelligent fault detection system in a communication network according to claim 5, characterized in that: The notification query module includes: Notification transmission module, used for notification transmission of data information; The query management module is used to query and control fault information.

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