CN117979345A - Fault detection method and device for communication network, electronic equipment and storage medium - Google Patents

Fault detection method and device for communication network, electronic equipment and storage medium Download PDF

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Publication number
CN117979345A
CN117979345A CN202410081763.7A CN202410081763A CN117979345A CN 117979345 A CN117979345 A CN 117979345A CN 202410081763 A CN202410081763 A CN 202410081763A CN 117979345 A CN117979345 A CN 117979345A
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China
Prior art keywords
communication network
detection
communication
architecture
information
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CN202410081763.7A
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Chinese (zh)
Inventor
徐�明
郑春辉
张晓宇
王伟
王大元
靳现林
董俊芳
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Guohua Jiangsu Wind Power Co ltd
State Energy Group Dongtai Offshore Wind Power Co ltd
Guohua Energy Investment Co ltd
Original Assignee
Guohua Jiangsu Wind Power Co ltd
State Energy Group Dongtai Offshore Wind Power Co ltd
Guohua Energy Investment Co ltd
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Priority to CN202410081763.7A priority Critical patent/CN117979345A/en
Publication of CN117979345A publication Critical patent/CN117979345A/en
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Abstract

The disclosure relates to a fault detection method and device of a communication network, electronic equipment and a storage medium, and is applied to the technical field of wireless communication. In the disclosure, feature extraction is performed on communication network information to obtain communication network features, so that a data receiving node and a data transmitting node of a communication network can be obtained. Determining a current communication network architecture according to the communication network characteristics; since the offshore communication network can dynamically change in real time, the current communication network architecture can be determined to determine the operation condition of the communication network at the moment. And determining a communication network detection path according to the current communication network architecture, the data receiving node and the data sending node. And performing fault detection on the communication network based on the communication network detection path. The detection path determined in this way is matched with the current communication network architecture, and even if the actual working condition of the offshore wind farm ad hoc network changes in the use process, the communication network after the change can be detected. Thus, the stability of the offshore communication network can be improved.

Description

Fault detection method and device for communication network, electronic equipment and storage medium
Technical Field
The disclosure relates to the technical field of wireless communication, and in particular relates to a fault detection method, device, electronic equipment and storage medium of a communication network.
Background
In general, the offshore wind farm ad hoc network communication system can realize wireless network coverage of a wind turbine end of an offshore wind farm and can communicate with shore-based equipment. Meanwhile, a worker can perform data communication or check a network link through an offshore wind power ad hoc network communication operation and maintenance management system constructed by the wireless ad hoc network.
In general, when a network fails or communication is abnormal, the offshore ad hoc network communication operation and maintenance management system based on Mesh (wireless Mesh network) ad hoc network can detect the failure or the abnormality by using a preset detection method. However, the offshore wind farm ad hoc network may change according to actual conditions during use, so that fault detection cannot be performed according to a preset method. Thus, the stability of the offshore communication network may be reduced.
Disclosure of Invention
The disclosure aims to provide a fault detection method, a fault detection device, electronic equipment and a storage medium of a communication network, which can improve the stability of the offshore communication network.
The embodiment of the application discloses the following technical scheme:
in a first aspect, the present disclosure provides a fault detection method for a communication network, including:
Extracting characteristics of communication network information to obtain communication network characteristics, wherein the communication network characteristics comprise data receiving nodes of the communication network and data transmitting nodes of the communication network;
Determining a current communication network architecture according to the communication network characteristics;
Determining a communication network detection path according to the current communication network architecture, the data receiving node and the data sending node;
And performing fault detection on the communication network based on the communication network detection path.
Optionally, the determining a current communication network architecture according to the communication network characteristics and the communication network information includes:
And analyzing and processing the communication network characteristics and the communication network information based on a communication network architecture model, wherein the communication network architecture model is obtained by training the communication network information acquired by a preset period and the corresponding communication network characteristics.
Optionally, the fault detection of the communication network based on the communication network detection path includes:
acquiring detection information of the communication network, wherein the detection information is used for detecting whether the data receiving node can receive the communication network information sent by the data sending node;
And determining a detection result of the communication network according to the detection path of the communication network and the detection information.
Optionally, the fault detection of the communication network based on the communication network detection path includes:
Detecting the signal intensity of the communication network according to the communication network detection path and the communication network information;
if the signal strength is detected to be abnormal, extracting a signal strength abnormal period operation log;
and obtaining a detection result of the abnormal time period communication network according to the abnormal time period operation log.
Optionally, the obtaining the detection result of the abnormal period communication network according to the abnormal period operation log includes:
analyzing and processing the abnormal time period operation log based on a communication network architecture twin model to obtain an abnormal time period communication network architecture, wherein the communication network architecture twin model is a mirror image model of the communication network architecture model and is used for detecting a communication network;
and performing simulated communication detection on each node of the abnormal period communication network architecture to obtain a detection result of the abnormal period communication network.
Optionally, the method further comprises:
Acquiring a historical communication network architecture;
comparing the historical communication network architecture with the current communication network architecture to obtain a change communication node in a communication network;
and performing fault detection on the change communication node to obtain a detection result of the communication network.
Optionally, the communication network is a primary communication channel, and after the fault detection is performed on the communication network based on the communication network detection path, the method further includes:
matching the detection result with preset fault information;
If the matching result is consistent, repairing is carried out based on a repairing strategy corresponding to the preset fault information;
And if the matching result is inconsistent, switching the communication network to be a standby communication network.
In a second aspect, the present disclosure provides a fault detection device for a communication network, including:
The extraction module is used for extracting characteristics of the communication network information to obtain communication network characteristics, wherein the communication network characteristics comprise data receiving nodes of the communication network and data sending nodes of the communication network;
a first determining module, configured to determine a current communication network architecture according to the communication network characteristics;
The second determining module is used for determining a communication network detection path according to the current communication network architecture, the data receiving node and the data sending node;
And the first detection module is used for detecting faults of the communication network based on the communication network detection path.
In a third aspect, the present disclosure provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the fault detection method of the communication network provided in the first aspect.
In a fourth aspect, the present disclosure provides an electronic device, which when executed implements the steps of the fault detection method of the communication network provided in the first aspect.
The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects:
In the disclosure, feature extraction is performed on communication network information to obtain communication network features, so that a data receiving node and a data transmitting node of a communication network can be obtained. Determining a current communication network architecture according to the communication network characteristics; due to the unfixed characteristic of the Mesh ad hoc network topology, the offshore communication network can dynamically change in real time, and the current communication network architecture is determined to determine the operation condition of the communication network at the moment. And determining a communication network detection path according to the current communication network architecture, the data receiving node and the data sending node. And performing fault detection on the communication network based on the communication network detection path. The detection path determined in this way is matched with the current communication network architecture, and even if the actual working condition of the offshore wind farm ad hoc network changes in the use process, the communication network after the change can be detected. Thus, the stability of the offshore communication network can be improved.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of the disclosure, and are incorporated in and constitute a part of this specification, illustrate the disclosure and together with the description serve to explain, but do not limit the disclosure. In the drawings:
Fig. 1 is a flowchart of a fault detection method of a communication network provided in the present disclosure;
fig. 2 is a schematic structural diagram of a fault detection device of a communication network provided in the present disclosure;
Fig. 3 is a schematic structural diagram of an electronic device provided in the present disclosure.
Detailed Description
In order to enable those skilled in the art to more clearly understand the technical solutions of the present disclosure, the following first describes application scenarios of the solutions of the present disclosure.
Because of the problems of lack of public network signals, high erection cost of communication submarine cables and the like in offshore communication, an offshore wireless ad hoc network communication system is generated. The wireless ad hoc network signal of the system covers a wind power plant and has a wind turbine generator set, so that the problem of difficult access of wireless signals of offshore operation and maintenance is solved, and communication between terminal equipment such as PC (Personal Computer ), mobile phone, PAD (Portable Device) and shore-based equipment in the range of the wind power plant is realized.
Mesh networks (wireless Mesh networks), also multi-hop networks, are developed from ad hoc (wireless ad hoc networks) networks, and are one of the key technologies for solving the problem of the last kilometer. In the evolution towards the next generation network, wireless is an indispensable technology. The wireless Mesh network can cooperatively communicate with other networks, is a dynamic network architecture which can be continuously expanded, and any two devices can keep wireless interconnection. There are two types of current wireless mobile networks: the first is a network based on a network infrastructure, a typical application of which is Wireless Local Area Network (WLAN). The second is a network without network infrastructure, commonly referred to as an AD HOC network (AD HOC). Such networks have no fixed routers and the nodes in the network are free to move and communicate with each other in any way.
Mesh is a multi-node, centerless, self-organizing wireless multi-hop communications network in which any wireless device node can send and receive signals as a router and can dynamically maintain connected communications with other single or multiple nodes in any manner. The wireless Mesh can cooperatively communicate with other networks to solve the communication problem of most areas not covered by the wired network. The Mesh ad hoc network does not need equipment (base station) except communication nodes, consists of two or more nodes, and is convenient to increase the nodes. The system has the advantages of no central flexible networking, no or little configuration, support of mutual communication among any nodes, and support of multiple relays.
Mesh networking has the following advantages: the deployment is quick, the installation is simple, and the power-on is needed; by adopting NLOS (Non Line of Sight) channel, the direct-view node can forward signal to the non-direct-view node; the nodes are failed or interfered, the data packets are automatically and seamlessly routed to a better path to continue to be transmitted, the network is not dropped when the data packets are subjected to cross-routing, and the operation of the whole network is not affected; each device has a plurality of available transmission paths, and the network can dynamically allocate communication routes according to the communication load condition of each node, thereby effectively avoiding the communication congestion of the nodes and having flexible structure; when the wireless configuration information of the main route is modified, the sub-route can automatically synchronize the configuration of parameters such as wifi (wireless communication technology), and the like, and the newly added nodes can automatically synchronize without setting after being accessed; the number of nodes is large, and when data is transmitted through a plurality of short hops, the interference is small, the data loss is small, and the total bandwidth is large.
In general, the offshore wind farm ad hoc network transmission system can realize wireless network coverage of a fan end of an offshore wind farm, provide a data transmission channel for an information system, bear mobile application, and communicate with shore-based equipment through the offshore wind farm ad hoc network communication system.
The networking application of the offshore wind farm ad hoc network transmission system adopts the architecture of an ad hoc network as the whole network of the offshore wind farm ad hoc network transmission system. And placing an ad hoc network base station in the cabin of the specific fan. And installing an ad hoc network terminal to access an ad hoc network on the operation and maintenance ship site. The booster station is addressed to place a wireless ad hoc network base station which is used as a converging network access point of the ad hoc network nodes of the fans in all directions, and the existing machine room of the booster station is used for arranging a network switch to physically isolate the ad hoc network transmission system of the offshore wind farm. The service end personnel are provided with handheld mobile terminals to access the network.
Through the wireless ad hoc network, a worker can directly connect cabin WiFi signals through a handheld terminal or a notebook computer to conduct data communication or check a network link. On operation and maintenance ship and the road of patrolling and examining, the staff can carry out wiFi through handheld relay equipment and connect, wholly realizes the wireless signal full coverage in the big most regions of wind field. The self-networking equipment supports the 802.11a/b/g/n protocol standard, the transmission frequency band is 2.4GHz, and field equipment required by service can be directly accessed into a communication network through wireless.
But the natural environment on the sea can influence the shortwave of the communication ground wave, and mainly comprises wave refraction caused by wave front inclination caused by the consumption of the sea surface, wave diffraction caused by the uneven distribution of the dielectric constants of the lower atmosphere, wave dispersion caused by the curvature of the earth outside the sight distance, and the like. The influence of these natural environments on short-wave communication is sometimes obvious, and particularly, the interference on the short-wave communication is serious, which can cause network failure or communication abnormality. The staff can carry out data communication or check network links through an offshore wind power ad hoc network communication operation and maintenance management system constructed based on the Mesh ad hoc network.
At present, when the self-networking network of the offshore wind farm fails or has communication abnormality, the communication operation and maintenance management system of the offshore self-networking network based on the Mesh self-networking network can diagnose the failure or abnormality by using a preset diagnosis method. However, the offshore wind farm ad hoc network may change according to the interference of the actual offshore natural environment during the use process, so that the detection cannot be performed according to a preset method. Thus, the stability of the offshore communication network may be reduced. In addition, network communication cannot be recovered as soon as possible, so that communication of the offshore wind power ad hoc network is interrupted, and stability of the offshore communication network is also affected.
Specific embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the disclosure, are not intended to limit the disclosure.
It should be noted that, all actions for acquiring signals, information or data in the present disclosure are performed under the condition of conforming to the corresponding data protection rule policy of the country of the location and obtaining the authorization given by the owner of the corresponding device.
Fig. 1 is a flow chart illustrating a method of fault detection for a communication network according to an exemplary embodiment. As shown in fig. 1, the method includes:
In step S11, feature extraction is performed on the communication network information to obtain a communication network feature, where the communication network feature includes a data receiving node of the communication network and a data transmitting node of the communication network.
Specifically, in this embodiment, the offshore communication network relies on the Mesh ad hoc network structure, and according to the characteristic that the topology of the Mesh network is not fixed, the communication network information also changes in real time. The real-time communication network information is acquired, the characteristics of the communication network information are extracted, the communication network characteristics are obtained, and the subsequent determination of the real-time communication network architecture can be facilitated. The communication network characteristics comprise a data receiving node of the communication network and a data transmitting node of the communication network, and the receiving and transmitting attribute of each node in the communication network is determined so as to be convenient for the determination of a subsequent communication network detection path.
In step S12, a current communication network architecture is determined from the communication network characteristics and the communication network information.
Specifically, as mentioned above, the offshore communication network may change the communication network architecture along with the change of the real-time working condition, and if the fault detection is performed according to the historical communication network architecture, the detection result may not match with the current operation condition of the communication network. Therefore, it is necessary to determine the current communication network architecture, that is, the real-time communication network architecture, according to the communication network information and the corresponding communication network characteristics, so that fault detection of the communication network is facilitated, and the detection result is matched with the current communication network.
In step S13, a communication network detection path is determined according to the current communication network architecture, the data receiving node, and the data transmitting node.
As mentioned above, the offshore communication network may change along with the change of the working condition, that is, each node in the communication network also changes dynamically, if the fault detection is performed according to the fixed detection path, the detection path may not match with the current communication network, and it is required to keep the detection path consistent with the flow direction of the communication data flow, so that an accurate communication network detection result may be obtained.
Specifically, the obtained data receiving node and the data sending node correspond to each node in the current communication network architecture, so that a communication network detection path of the current communication network can be obtained, and accurate communication network detection results are facilitated to be obtained.
In step S14, the communication network is subjected to fault detection based on the communication network detection path.
Specifically, the fault detection is performed on the communication network according to the communication network detection paths corresponding to the nodes in the current communication network architecture, so that whether the communication network has faults or not can be timely determined, and the stability of the offshore communication network is improved. In addition, the method is beneficial to repairing and processing faults.
In the disclosure, feature extraction is performed on communication network information to obtain communication network features, so that a data receiving node and a data transmitting node of a communication network can be obtained. Determining a current communication network architecture according to the communication network characteristics; due to the unfixed characteristic of the Mesh ad hoc network topology, the offshore communication network can dynamically change in real time, and the current communication network architecture is determined to determine the operation condition of the communication network at the moment. And determining a communication network detection path according to the current communication network architecture, the data receiving node and the data sending node. And performing fault detection on the communication network based on the communication network detection path. The detection path determined in this way is matched with the current communication network architecture, and even if the actual working condition of the offshore wind farm ad hoc network changes in the use process, the communication network after the change can be detected. Thus, the stability of the offshore communication network can be improved.
In one possible embodiment, determining an exemplary implementation of the current communication network architecture based on the communication network characteristics and the communication network information may include:
and analyzing and processing the communication network characteristics and the communication network information based on a communication network architecture model to acquire a current communication network architecture, wherein the communication network architecture model is trained by utilizing the communication network information acquired in a preset period and the corresponding communication network characteristics.
Specifically, the communication network information of the offshore ad hoc network can be collected according to a preset period, and the collected communication network information is subjected to feature extraction to obtain corresponding communication network features. By way of example, it may be provided that the communication network information is collected every 5 s. And training the communication network architecture model to be trained by utilizing the acquired communication network information and the corresponding communication network characteristics to obtain the communication network architecture model.
And analyzing and processing the communication network information acquired in real time and the corresponding communication network characteristics by using the trained communication network architecture model, so that the current communication network architecture can be obtained. The current communication network architecture may facilitate fault detection of the communication network such that the detection result matches the current communication network.
In addition, the communication network information collected in the preset period can be stored in the blockchain, and a hash value corresponding to the communication network data is generated. The communication network information and the corresponding hash value are stored in the database, so that the communication accident caused by the fact that the communication network information is tampered can be prevented. And because of the variability of the Mesh network, the acquired communication network architecture can be stored in a database and can be used for subsequent fault detection.
In one possible embodiment, an exemplary implementation of fault detection for a communication network based on a communication network detection path may include:
and acquiring detection information of the communication network.
The detection information is used for detecting whether the data receiving node can receive the communication network information sent by the data sending node.
And then, determining the detection result of the communication network according to the detection path and the detection information of the communication network.
Specifically, the communication node in the current communication network architecture transmits or receives detection information according to the communication network detection path. If the detection information can be successfully sent or received, the communication node is indicated to be a node with normal communication; if the detection information is sent or received in a failure mode, the communication node is indicated to be abnormal in communication, meanwhile, the communication network is abnormal, and the detection result of the communication network is failure.
The detection result of the communication network is determined according to the detection path and the detection information of the communication network, the working condition of the change of the offshore communication network can be detected, and the obtained detection result of the communication network is more accurate.
In one possible embodiment, an exemplary implementation of fault detection for a communication network based on a communication network detection path may include:
and detecting the signal strength of the communication network according to the communication network detection path and the communication network information.
Specifically, the signal intensity detection of the communication network can be performed according to the communication network detection path at the current moment and the corresponding communication network information acquired in real time, which are obtained by the current communication network architecture, and the detection result of the communication network is determined according to the signal intensity detection result.
The signal strength detection can acquire network signals from various places after being connected to a network, and test the signal strength. And detecting the network signal to obtain the network signal strength value. The quality of the signal can be determined by looking at the signal strength, and in general, the smaller the number of the signal, the stronger the signal. When the signal does not meet the expectations, the network signal strength is weaker. The network signal strength detection principle is embodied in a signal-to-noise ratio manner. The signal-to-noise ratio refers to the ratio of the intensity of a signal to the noise that exists at the same time, and the larger the signal-to-noise ratio is, the better the signal quality is represented, and the worse the signal quality is conversely.
And if the signal strength is detected to be abnormal, extracting a signal strength abnormal period operation log.
And then, obtaining a detection result of the abnormal period communication network according to the abnormal period operation log.
For example, an implementation of obtaining a detection result of the abnormal period communication network according to the abnormal period operation log may include:
and analyzing and processing the abnormal time period operation log based on the communication network architecture twin model to obtain an abnormal time period communication network architecture.
Specifically, the communication network architecture twin model can adopt an SAAS platform to carry out data interface butt joint, and can realize real-time data transmission and generate an abnormal period communication network architecture. The communication network architecture twin model is a mirror model of the communication network architecture model, can be used for detecting a communication network, and can avoid error influence on the communication network architecture model when the communication network architecture is generated in an abnormal period.
And performing analog communication detection on each node of the abnormal period communication network architecture to obtain a detection result of the abnormal period communication network.
Specifically, detection information of analog communication can be obtained, and the detection information is sent or received according to a chained distribution relationship among nodes of the communication network architecture in an abnormal period. If the transmission or the reception is abnormal, the communication node is indicated to be faulty, and meanwhile, the detection result of the communication network in the abnormal period can be obtained.
In one possible embodiment, the method may further comprise:
A historical communications network architecture is obtained.
Specifically, when determining the detection result of the communication network, the detection can be performed according to the determined detection path, and the determination can be performed by a communication network architecture comparison method.
Specifically, the historical communication network architecture may be retrieved from the database for comparison of the communication network architecture. For example, if the current time period is the third time period, the historical communication network architecture of the first time period and the historical communication network architecture of the second time period may be retrieved from the database for subsequent comparison with the current communication network architecture.
And then, comparing the historical communication network architecture with the current communication network architecture to obtain the change communication nodes in the communication network.
Specifically, the current communication network architecture is compared with the acquired historical communication network architecture, so that the communication node which enables the communication network architecture to change can be obtained. At this time, the changed communication node may be a node having a failure.
And then, performing fault detection on the change communication node to obtain a detection result of the communication network.
Specifically, it is detected whether the changing communication node can normally transmit or receive communication data. If yes, the detection result of the change communication node is normal; if not, the abnormal detection result of the change communication node is indicated, and the communication network is in fault.
In one possible embodiment, where the communication network is the primary communication channel, an exemplary implementation after failure detection of the communication network based on the communication network detection path may include:
and matching the detection result with preset fault information.
Specifically, the preset fault information can construct a fault database, and the fault database comprises common communication network fault reasons, emergency treatment strategies and the like. The fault information may include a fault node, a fault type, a fault cause, a fault repair policy, and the like.
And if the matching result is consistent, repairing based on a repairing strategy corresponding to the preset fault information.
Specifically, the fault repairing policy corresponding to the fault information is stored in the fault database, and when the detection structures are matched and consistent, the fault repairing policy in the fault database can be directly called, so that the normal operation of the communication network can be quickly recovered.
If the matching result is inconsistent, the communication network is switched to be a standby communication network.
Specifically, if the matching results are inconsistent, the failure cannot quickly recover normal operation through a preset failure recovery strategy in a short time, and a communication channel switching instruction needs to be triggered at this time. And switching the main communication channel into the standby communication channel, thereby ensuring the normal operation of the offshore communication network.
The method is characterized by comprising the steps of controlling a communication network of an offshore wind power plant according to the operation conditions of the communication network, wherein the communication network is based on different time scales, and the flexible distributed control of a free control mode or a forced control mode is correspondingly adopted. The free control mode is generally triggered by an optimization control function with low requirement on adjustment time, is suitable for steady-state optimization control of the micro-grid with low requirement on real-time property, is a algorithmic control mode, and can be selected by nodes to participate in control or not; the forced control mode is generally triggered by functions such as running state adjustment with higher requirement on adjustment time, can be used for steady-state optimization control, can also be used for running state adjustment with higher requirement on real-time, is a regular control mode, and is characterized in that a master node designates a node participating in a control task; the free control mode and the forced control mode can also realize coordination through interaction, for example, when the free control mode fails to be regulated, the control mode is switched to the forced control mode so as to realize flexible control. The standby communication channel can adopt Beidou+LoRa ad hoc network, and the main communication channel can adopt CDMA signals.
Based on the same inventive concept, the embodiment of the present disclosure further provides a fault detection device of a communication network, as shown in fig. 2, the fault detection device 20 of the communication network includes an extraction module 21, a first determination module 22, a second determination module 23, and a detection module 24:
The extraction module is used for extracting characteristics of the communication network information to obtain communication network characteristics, wherein the communication network characteristics comprise data receiving nodes of the communication network and data sending nodes of the communication network;
a first determining module, configured to determine a current communication network architecture according to the communication network characteristics;
The second determining module is used for determining a communication network detection path according to the current communication network architecture, the data receiving node and the data sending node;
And the first detection module is used for detecting faults of the communication network based on the communication network detection path.
Optionally, the first determining module is configured to:
And analyzing and processing the communication network characteristics and the communication network information based on a communication network architecture model, wherein the communication network architecture model is obtained by training the communication network information acquired by a preset period and the corresponding communication network characteristics.
Optionally, the first detection module is configured to:
acquiring detection information of the communication network, wherein the detection information is used for detecting whether the data receiving node can receive the communication network information sent by the data sending node;
And determining a detection result of the communication network according to the detection path of the communication network and the detection information.
Optionally, the first detection module includes:
The detection sub-module is used for detecting the signal intensity of the communication network according to the communication network detection path and the communication network information;
The extraction submodule is used for extracting a signal strength abnormal period operation log if the signal strength is detected to be abnormal;
And the acquisition sub-module is used for acquiring the detection result of the abnormal time period communication network according to the abnormal time period operation log.
Optionally, the acquiring submodule is configured to:
analyzing and processing the abnormal time period operation log based on a communication network architecture twin model to obtain an abnormal time period communication network architecture, wherein the communication network architecture twin model is a mirror image model of the communication network architecture model and is used for detecting a communication network;
and performing simulated communication detection on each node of the abnormal period communication network architecture to obtain a detection result of the abnormal period communication network.
Optionally, the apparatus further comprises:
The first acquisition module is used for acquiring a historical communication network architecture;
the second acquisition module is used for comparing the historical communication network architecture with the current communication network architecture to obtain a change communication node in a communication network;
and the second detection module is used for carrying out fault detection on the change communication node to obtain a detection result of the communication network.
Optionally, the communication network is a primary communication channel, and the apparatus further includes:
the matching module is used for matching the detection result with preset fault information;
The repair module is used for repairing based on a repair strategy corresponding to the preset fault information if the matching result is consistent;
and the switching module is used for switching the communication network into a standby communication network if the matching result is inconsistent.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
Fig. 3 is a schematic diagram of an electronic device 300, according to an example embodiment. For example, the electronic device 300 may be provided as a server. Referring to fig. 3, the electronic device 300 includes a processor 322, which may be one or more in number, and a memory 332 for storing computer programs executable by the processor 322. The computer program stored in memory 332 may include one or more modules each corresponding to a set of instructions. Further, the processor 322 may be configured to execute the computer program to perform the above-described fault detection method of the communication network.
In addition, the electronic device 300 may further include a power supply component 326 and a communication component 350, the power supply component 326 may be configured to perform power management of the electronic device 300, and the communication component 350 may be configured to enable communication of the electronic device 300, such as wired or wireless communication. In addition, the electronic device 300 may also include an input/output (I/O) interface 358. The electronic device 300 may operate an operating system based on memory 332.
In another exemplary embodiment, a computer readable storage medium is also provided comprising program instructions which, when executed by a processor, implement the steps of the above-described fault detection method of a communication network. For example, the non-transitory computer readable storage medium may be the memory 332 including program instructions described above that are executable by the processor 322 of the electronic device 300 to perform the fault detection method of the communication network described above.
In another exemplary embodiment, a computer program product is also provided, comprising a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-described fault detection method of a communication network when executed by the programmable apparatus.
The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, but the present disclosure is not limited to the specific details of the embodiments described above, and various simple modifications may be made to the technical solutions of the present disclosure within the scope of the technical concept of the present disclosure, and all the simple modifications belong to the protection scope of the present disclosure.
In addition, the specific features described in the above embodiments may be combined in any suitable manner without contradiction. The various possible combinations are not described further in this disclosure in order to avoid unnecessary repetition.
Moreover, any combination between the various embodiments of the present disclosure is possible as long as it does not depart from the spirit of the present disclosure, which should also be construed as the disclosure of the present disclosure.

Claims (10)

1. A method for fault detection in a communication network, comprising:
Extracting characteristics of communication network information to obtain communication network characteristics, wherein the communication network characteristics comprise data receiving nodes of the communication network and data transmitting nodes of the communication network;
determining a current communication network architecture according to the communication network characteristics and the communication network information;
Determining a communication network detection path according to the current communication network architecture, the data receiving node and the data sending node;
And performing fault detection on the communication network based on the communication network detection path.
2. The method of claim 1, wherein said determining a current communication network architecture based on said communication network characteristics and said communication network information comprises:
And analyzing and processing the communication network characteristics and the communication network information based on a communication network architecture model to acquire the current communication network architecture, wherein the communication network architecture model is obtained by training the communication network information acquired by a preset period and the corresponding communication network characteristics.
3. The method of claim 1, wherein the fault detection of the communication network based on the communication network detection path comprises:
acquiring detection information of the communication network, wherein the detection information is used for detecting whether the data receiving node can receive the communication network information sent by the data sending node;
And determining a detection result of the communication network according to the detection path of the communication network and the detection information.
4. The method of claim 1, wherein the fault detection of the communication network based on the communication network detection path comprises:
Detecting the signal intensity of the communication network according to the communication network detection path and the communication network information;
if the signal strength is detected to be abnormal, extracting a signal strength abnormal period operation log;
and obtaining a detection result of the abnormal time period communication network according to the abnormal time period operation log.
5. The method according to claim 4, wherein obtaining the detection result of the abnormal period communication network according to the abnormal period operation log comprises:
analyzing and processing the abnormal time period operation log based on a communication network architecture twin model to obtain an abnormal time period communication network architecture, wherein the communication network architecture twin model is a mirror image model of the communication network architecture model and is used for detecting a communication network;
and performing simulated communication detection on each node of the abnormal period communication network architecture to obtain a detection result of the abnormal period communication network.
6. The method according to claim 1, wherein the method further comprises:
Acquiring a historical communication network architecture;
comparing the historical communication network architecture with the current communication network architecture to obtain a change communication node in a communication network;
and performing fault detection on the change communication node to obtain a detection result of the communication network.
7. The method according to any one of claims 3,4 or 6, wherein the communication network is a primary communication channel, and wherein after the fault detection of the communication network based on the communication network detection path, the method further comprises:
matching the detection result with preset fault information;
If the matching result is consistent, repairing is carried out based on a repairing strategy corresponding to the preset fault information;
And if the matching result is inconsistent, switching the communication network to be a standby communication network.
8. A fault detection device for a communication network, comprising:
The extraction module is used for extracting characteristics of the communication network information to obtain communication network characteristics, wherein the communication network characteristics comprise data receiving nodes of the communication network and data sending nodes of the communication network;
a first determining module, configured to determine a current communication network architecture according to the communication network characteristics;
The second determining module is used for determining a communication network detection path according to the current communication network architecture, the data receiving node and the data sending node;
And the first detection module is used for detecting faults of the communication network based on the communication network detection path.
9. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the program when executed by a processor realizes the steps of the method according to any of claims 1-7.
10. An electronic device, comprising:
A memory having a computer program stored thereon;
A processor for executing the computer program in the memory to implement the steps of the method of any one of claims 1-7.
CN202410081763.7A 2024-01-19 2024-01-19 Fault detection method and device for communication network, electronic equipment and storage medium Pending CN117979345A (en)

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