187 results about "Fault handling" patented technology

The invention relates to the technical field of circuit detection, discloses a power transmission line thermochromic wire clamp heating early warning method and system, effectively solves the problem of data acquisition distortion in a strong electromagnetic environment, and improves the accuracy of state evaluation through multi-source data fusion. The dynamically adjusted early warning model reduces the risk of false alarm and missing alarm caused by equipment aging, the intelligent decision support module shortens the fault handling response time, the data closed-loop mechanism ensures the reliability of the system in the whole life cycle, and the reliability of the system in the whole life cycle is improved through multi-sensor cooperative monitoring and edge calculation processing. And the influence of environmental factors on data acquisition is reduced. The two-channel transmission architecture guarantees the data transmission integrity under different network conditions, the CRC verification mechanism effectively recognizes and corrects transmission errors, a high-quality data basis is provided for a subsequent early warning model, the abnormal data recollection mechanism avoids data missing caused by single collection failure, and continuous and stable operation of the monitoring system is ensured.

The invention relates to the field of industrial equipment monitoring, and discloses a power plant steam-water system edge calculation monitoring terminal system, which comprises a data acquisition module used for performing real-time acquisition on temperature, pressure, flow and liquid level parameters of key parts such as a boiler, a steam turbine and a pipeline in a power plant steam-water system, an acquisition result is converted into a standard data format to be output; the edge calculation module is used for performing local processing on the data, including feature extraction, data modeling, anomaly recognition and operation state analysis, and the module establishes a state model based on historical data and outputs parameter optimization suggestions according to a set strategy; and the communication module is used for transmitting the processing result to a monitoring center and receiving an instruction issued by the monitoring center. Local modeling and recognition are carried out on collected data through the edge calculation module, delay caused by data return is avoided, an abnormal early warning mechanism of second-level response is achieved, and the fault handling capacity of the system is enhanced.

The invention discloses a data backup management system for communication, which belongs to the technical field of data management, and comprises an intelligent hierarchical backup module, a block chain security module, an AI resource scheduling module, a hybrid cloud backup module and an automatic fault processing module, the intelligent hierarchical backup module is used for dividing communication data into hot data, warm data and cold data according to the importance, use frequency and modification frequency of the data, and the block chain security module is used for generating a unique hash value for each backup data and recording the unique hash value on a block chain. The AI resource scheduling module is used for analyzing and learning historical backup data and operation records by using a deep learning algorithm, and the hybrid cloud backup module is used for combining a local data center and public cloud storage. And the automatic fault processing module is used for deploying the automatic fault detection module to monitor the running states of the backup server, the storage device and the network link in real time.

The invention discloses a power distribution network fault processing method, system and device based on a digital twinborn technology, and a medium. The method comprises the following steps: collecting real-time operation data of a power distribution network, constructing a digital twinborn model of the power distribution network, identifying a potential fault source through the digital twinborn model, and generating a candidate fault propagation path according to the potential fault source; calculating a propagation damping score for each candidate fault propagation path; comparing each propagation damping score with a propagation score threshold value corresponding to the current operation stage; and according to the deviation condition of the propagation damping score and the suppression result of the candidate fault propagation path in the actual fault response, a scoring factor is adjusted, and the suppression strategy of the candidate fault propagation path is adjusted. According to the power distribution network fault processing method based on the digital twinning technology, the digital twinning model comprising the equipment layer, the connection layer and the state layer is constructed, real-time mapping of the structure and the operation state of the power distribution network is achieved, and the accuracy of fault source positioning is improved.

The invention relates to the technical field of intelligent traffic equipment management, in particular to a signal equipment health state monitoring method and system, and the method comprises the steps: receiving operation, external field sensing and communication link data of signal equipment through a protocol conversion interface, converting the data into a unified format, and storing the data in a data medium; after abnormal value filtering and missing value completion, operation characteristic parameters are extracted, a layered health degree evaluation model is constructed, equipment-level, intersection-level and trunk-level health degrees are calculated in sequence, and early warning is triggered if the health degrees are lower than a preset threshold value; constructing a device-link-scene association map, positioning a fault type and a fault source in combination with a fault feature matching algorithm, and analyzing a fault influence range; and according to the fault influence range, the device priority and the operation and maintenance resource real-time state, generating an operation and maintenance work order and a resource scheduling suggestion, and pushing early warning information, a fault positioning result and a health degree report to an operation and maintenance terminal. Full-level health perception and operation and maintenance resource optimization can be realized, the fault handling period is shortened, and the traffic passing efficiency is guaranteed.

The invention provides a comprehensive service intelligent management method, which comprises the following steps: S1, acquiring a service demand submitted by a user, and analyzing and generating a resource configuration scheme through an AI algorithm; s2, the resource configuration scheme is automatically checked through an AI auditing engine, and manual auxiliary auditing is triggered; s3, automatically executing cross-system equipment configuration and verifying link performance according to the resource configuration scheme passing the audit; and S4, on the basis of the real-time monitoring data, utilizing an AI algorithm to predict equipment faults and schedule maintenance tasks. According to the method, through full-process AI enabling and cross-system collaborative management, the core pain points of low efficiency, fault processing lagging, non-standard auditing and high cost in traditional communication network management are effectively solved, and powerful support is provided for intelligent, efficient and low-cost operation of the communication network.

The invention discloses a server management system, a server management method and electronic equipment, and relates to the technical field of computers.In the method, on one hand, edge nodes are arranged in a plurality of different areas respectively, and each edge node is connected with a server in the area where the edge node is located through a first communication line; and connecting a cloud management platform through a second communication line. The edge node can perform autonomous management on the server in the area based on the management information issued by the cloud management platform. The server and the edge node are located in the same area, and the communication delay is short, so that when the server fails, the edge node can timely issue an instruction to perform fault processing, and the fault recovery duration of the server can be shortened. And on the other hand, the theoretical communication rate of the first communication line is higher than the theoretical communication rate of the second communication line, so that the data transmission rate between the server and the edge node can be improved, and the fault recovery duration of the server is further shortened.

The invention discloses a passive fault positioning system and method based on SRv6 data plane detection, and the method comprises the steps: deploying a data collection module at an SRv6 network node, passively collecting a passing data message, and adding detection information into the data message; analyzing an SRH extension head in the message to extract detection information, and filtering and processing the detection information to provide formatted data; summarizing detection information in the monitoring data of different nodes in different time periods, and performing association and fusion to form a to-be-analyzed data packet; according to the detection information in the to-be-analyzed data packet, performing fault positioning analysis by using a fault analysis method to lock a fault position; and performing root cause tracing based on the fault positioning position to obtain a fault cause, outputting a fault positioning result and linking a fault processing flow. According to the method, the existing information of the SRv6 data plane is multiplexed to realize non-overhead passive detection, and high-precision and real-time fault positioning of the SRv6 network is realized.

The invention belongs to the field of network communication, and provides a network fault automatic processing method and system, and the method comprises the steps: collecting a multi-source monitoring signal, and constructing a space-time matrix used for representing a network state; training the decision tree model by using a reinforcement learning algorithm, and constructing a reward function according to the root cause positioning accuracy and the repair effect; when the decision tree model determines a fault root cause, calling a software defined network (SDN) controller interface, generating a corresponding rerouting strategy according to the fault root cause, and issuing the rerouting strategy to network equipment for path adjustment; applying the rerouting strategy in a simulation environment, collecting QoS (Quality of Service) indexes before and after adjustment, and verifying the validity of a repair strategy; and feeding back a repair verification result to a training process of the decision tree model, and updating parameters of the reinforcement learning algorithm. According to the invention, the accuracy of network fault automatic processing can be improved.

The invention discloses an emergency broadcast decision-making method for dynamically reconstructing a broadcast list, which is characterized by comprising the following steps of: 1, monitoring running state parameters of a broadcast link in real time, the running state parameters comprising a signal quality parameter, a network link parameter, a server resource parameter and an audio stream content parameter; 2, when it is monitored that the operation state parameters are abnormal, fault diagnosis is carried out based on a preset knowledge base, and the knowledge base stores the mapping relation between fault features and disposal plans; step 3, generating a broadcast list reconstruction strategy according to the diagnosis result and a multi-dimensional characteristic factor of the current broadcast program, wherein the multi-dimensional characteristic factor at least comprises a program type, an importance level and a switching smoothness requirement; and step 4, executing automatic switching of the emergency audio streams according to the playlist reconstruction strategy. According to the invention, the problems of untimely emergency response, inaccurate decision, discontinuous fault handling and the like in a complex broadcast environment can be solved, the broadcast content can be quickly and dynamically reconstructed, and the broadcast continuity and the service quality are ensured.

The invention relates to the technical field of intelligent space operation and maintenance, and discloses an intelligent space operation and maintenance optimization method and device based on data elements, and the method comprises the steps: collecting the operation data of an Internet of Things terminal, an edge node and a cloud platform in an intelligent space, and carrying out the fusion of the operation data, and obtaining the fusion data; performing sensitive information identification and encryption on the fused data to obtain encrypted data; inputting the encrypted data into a local model of each edge node to extract equipment operation characteristics, and integrating an equipment operation characteristic set in a cloud aggregation server; performing exception identification based on the equipment operation feature set to obtain equipment exception state information; according to the method, an interpretable anomaly analysis path and a comprehensive situation awareness report are provided for operation and maintenance personnel, the fault processing efficiency is remarkably improved, and intelligent operation and maintenance management of the intelligent space is realized.

The invention relates to the technical field of vehicle safety, and provides a vehicle fault determination method, electronic equipment and a vehicle, and the method comprises the steps: determining that the vehicle has a fault, obtaining vehicle log data and fault text data, and carrying out the coding processing of the vehicle log data, and obtaining a fault signal vector; analyzing the fault text data to obtain a fault semantic vector; determining a target fusion weight, and performing fusion processing on the fault signal vector and the fault semantic vector based on the target fusion weight to obtain a multi-modal fusion vector; and inputting the multi-modal fusion vector into a pre-trained vehicle fault analysis model, processing the multi-modal fusion vector by the vehicle fault analysis model, and outputting a target fault type and a target fault processing mode. According to the method and the device, the target fault type and the target fault processing mode are determined, so that a user can clearly know the fault type of the vehicle fault, and the user can conveniently and correspondingly process the fault of the current vehicle according to the determined target fault processing mode.

The invention belongs to the technical field of power systems, and particularly relates to a power distribution line fault accurate positioning method and system, and the method comprises the steps: constructing a dynamic updating topological impedance library containing a topological structure, line parameters and terminal information; after a fault signal is triggered, the multiple terminals cooperatively collect a traveling wave signal and a timestamp and complete integrity verification; preprocessing the signal, and extracting a traveling wave leading edge feature point timestamp and a voltage-current amplitude ratio; determining a fault associated branch through time difference, impedance deviation and signal polarity screening in combination with topological impedance library information; tracing and simplifying a traveling wave path, and calculating an actual propagation speed initial fault distance; and correcting the distance according to the impedance distribution characteristics and converting into geographic coordinates for output. According to the method, the problems of large deviation and high misjudgment rate of a traditional positioning method are solved, the accuracy and response speed of fault positioning are improved, the fault handling time is shortened, the operation and maintenance cost is reduced, and safe and reliable operation of a distribution line is guaranteed.

The invention discloses a fault early warning and quick response processing method based on network equipment operation and maintenance data, and relates to the technical field of network equipment operation and maintenance. According to the method, network equipment hardware, software and link state data and key component energy consumption data are collected in a multi-dimensional mode, a correlation model and a rule base are constructed, quantitative grading and correlation analysis are combined, fault hidden dangers and correlation components are accurately recognized, fault early warning is achieved, an adaptive response disposal scheme is generated based on the hidden danger level, and the fault handling efficiency is improved. The execution safety is ensured through instruction verification, the fault handling efficiency is greatly improved, and the operation and maintenance cost and the fault influence are reduced; meanwhile, on the premise of guaranteeing safety, the equipment operation state is optimized, the energy consumption of key components is regulated and controlled to the optimal interval, and the energy utilization rate and the equipment operation stability are improved; according to the invention, fault early warning precision, response processing high efficiency and operation state optimization are realized, and the intelligent level and comprehensive benefits of network equipment operation and maintenance are significantly improved.

The embodiment of the invention discloses a communication network fault processing method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a working state of each communication network element in a communication network in a target time period, and determining a fault network element in each communication network element based on the working state of each communication network element; under the condition that the number of the fault network elements is multiple, for each current fault network element, determining a fault coupling degree between the current fault network element and a reference fault network element, and based on the fault coupling degree, determining a scoring result that the current fault network element is a fault root cause; and determining the processing priority of the current fault network element based on the scoring result, sorting the processing sequence of the current fault network element based on the fault priority, and obtaining the target fault processing sequence of the communication network, thereby ensuring that key faults are firstly processed, improving the fault processing efficiency, reducing the influence of the faults on the stable operation of the communication network, and improving the reliability of the communication network. And the communication experience is improved.

The application provides a power distribution network fault disposal simulation training evaluation method based on a seven-layer track node tracking array. First, the simulation training operation result information of seven links, such as a sensing node, in the fault disposal process of a dispatcher is described by establishing a seven-layer track node tracking array model. Then, the fault disposal process of the dispatcher is quantitatively evaluated by establishing a sensing node evaluation index. Secondly, the whole process from the sensing node to the archiving node of the dispatcher in disposing a certain fault is evaluated by establishing a single fault disposal evaluation index. Finally, the comprehensive evaluation of all fault disposal conditions in the simulation training of the dispatcher is performed by establishing a power distribution network fault disposal simulation training comprehensive evaluation index. The scheme can comprehensively reflect the fault disposal process of the dispatcher, better reflect the fault disposal level of the dispatcher, the method is simple and reliable, can meet the field application requirements, and has good popularization value.

The invention relates to a sensing task processing method, system and device, communication equipment and a storage medium. The method comprises the following steps of: sending a sensing capability registration request to a standby SCF corresponding to a main SCF in advance under the condition that a sensing RAN (Radio Access Network) which registers the sensing capability in the main SCF detects that the main SCF fails, so as to register the sensing capability in the standby SCF; no data synchronization channel exists between the main SCF and the standby SCF; receiving a first sensing task request returned by the standby SCF; the first perception task request is generated by the standby SCF according to a perception task associated with the perception RAN after the standby SCF perceives the registration perception capability of the RAN; a sensing task associated with the sensing RAN is sent to the main SCF and the standby SCF by a sensing task issuing module; and in response to the first sensing task request, returning first sensing data to the standby SCF, so that the standby SCF reports the first sensing data to a sensing task issuing module. By adopting the method, the fault processing efficiency can be improved, and the continuity of the 5G sensing service can be ensured.

The embodiment of the invention relates to the technical field of vehicles, and discloses a fault processing method, system and equipment, and the method comprises the steps: determining a first data identifier in a first mapping relation according to a first fault code reported by a first controller hung below a domain controller; the first data identifier is issued to the first controller, so that the first controller determines first parameter information in the parameter information before and after the current fault based on the first data identifier; and generating a current fault message according to the first data identifier, the first parameter information and a first identifier corresponding to the first controller. By applying the technical scheme of the invention, the pertinence and analysis efficiency of fault data recording can be improved, and a solid data foundation is laid for subsequent rapid fault positioning and root cause analysis.

The application relates to the technical field of network communication, in particular to a fault processing method and device, electronic equipment and a storage medium. The method is applied to a network device, the network device is respectively configured with a primary equivalent route group and a backup equivalent route group for each destination address; after receiving first traffic with a target address as the destination address, the network device forwards the first traffic based on each equivalent route included in the primary equivalent route group corresponding to the target address; the method comprises the following steps: monitoring the available states of each equivalent route included in the primary equivalent route group corresponding to the target address; if it is monitored that a target equivalent route is unavailable, determining second traffic which needs to be forwarded by using the target equivalent route; and forwarding the second traffic by using each equivalent route included in the backup equivalent route group corresponding to the target address.

The invention provides a vehicle-cloud cooperative vehicle-mounted network fault processing method and system, and relates to the technical field of vehicle-mounted network fault processing, and the method comprises the steps: deploying a network probe at a vehicle end, and collecting wireless communication indexes in real time, wherein the wireless communication indexes comprise reference signal receiving power, a signal-to-interference-plus-noise ratio, reference signal receiving quality and TCP / HTTP (Transmission Control Protocol / Hyper Text Transport Protocol) service success rate; a multi-module fault diagnosis mechanism is combined to carry out accurate anomaly detection on various vehicle-mounted services, and context information is uploaded to a cloud end once a fault is found; and the cloud side intelligently generates a recovery strategy such as module reset, neighbor cell forced switching or flow routing optimization by relying on the regional base station load and historical network quality data, issues the recovery strategy to the vehicle side for execution, and receives execution feedback to form closed-loop control at the same time. According to the method, the perception precision, the diagnosis efficiency and the recovery speed of the vehicle-mounted network fault are improved, the vehicle-cloud cooperative operation and maintenance mode from passive response to active prediction, decision making and execution is realized, and the continuity of the vehicle-mounted service and the user experience are effectively guaranteed.

The embodiment of the application provides a kind of ring network fault processing method and device.It relates to network technical field, it is applied to first node, method includes: receiving the first message sent by second node;According to first destination IP address, from FIB, obtain the first FIB table item matched with first destination IP address, first FIB table item includes first out interface identifier and first forwarding attribute, first out interface identifier indicates first interface;If the value of first forwarding attribute is first value, and first interface is in DOWN state, then by second interface, third node in ring network topology is forwarded second message, first destination MAC address included in second message is preset MAC address, to make third node according to preset MAC address, forwarding second message, first interface and second interface belong to same ring interface group.Application the scheme provided in the embodiment of the application can reduce the resource amount consumed by ring network fault processing, realize simple fault recovery.

The invention discloses a link fault processing method and device, electronic equipment and a nonvolatile storage medium. The method comprises the following steps: under the condition that a main link abnormity alarm sent by a chip layer is received, sending a first notification message to a protocol layer and the chip layer; obtaining network interface state information of an operating system kernel, and according to the network interface state information, judging whether the main link has a fault actually to obtain a judgment result; and notifying the protocol layer and / or the chip layer to execute the target operation according to the judgment result. According to the method and the device, the technical problem that the link bearing service is poor in stability due to the fact that the link fault detection result is lack of verification in the prior art and the link state misjudgment condition is easy to occur is solved.

The embodiment of the invention provides a network fault processing method and device, a network fault processing system and a storage medium, and relates to the technical field of network fault processing. The method comprises the steps of collecting first data related to a network fault; wherein the first data comprises network equipment operation state data, network connection data and / or user access data; detecting whether a fault exists in the network according to the first data; and when it is detected that a fault exists in the network, executing a repair strategy corresponding to the fault. A multi-dimensional fault related data set is formed by collecting network equipment operation state data, network connection data and / or user access data. The network fault is detected based on the data, the limitation that a traditional scheme only depends on equipment indexes can be broken through, whether the fault exists or not is comprehensively judged from multiple dimensions such as equipment operation, network connection and user experience, missed judgment or misjudgment caused by a single data dimension is avoided, and timeliness and accuracy of network fault processing are improved.

The invention relates to the technical field of computer networks, in particular to an ONU (Optical Network Unit) gateway fault diagnosis method and device based on a PON (Passive Optical Network), computer equipment and a medium, which can be applied to fiber to room (FTTR), enterprise-level fiber to room (FTTR-B) and broadband fusion terminal products. Wherein if the execution of the call request from the voice terminal fails, the failure reason of the execution of the call request is determined; receiving an input fault diagnosis instruction; acquiring a first voice audio corresponding to a fault reason according to the fault diagnosis instruction; the first voice audio is sent to the voice terminal, the first voice audio is played by the voice terminal to indicate the fault reason, the fault processing efficiency can be improved, and the operation and maintenance cost can be reduced.

A middleware alarm and intelligent recovery system includes: a middleware client, which is pre-installed with an agent program algorithm to collect and send host indicator information and receive service operation commands and fault recovery commands from a server service system; a server service system, which establishes a communication connection with the middleware client through a Kafka message queue; a fault recovery service system, which establishes a communication connection with the server service system to perform AI fault diagnosis and AI fault self-healing operations, and after completing the fault diagnosis and processing, notifies the server service system to display the fault processing details on a web display device and notify the staff; and an alarm and fault information processor, which establishes a communication connection with the server service system and is equipped with a web display device to display alarm information and fault processing information.

The invention discloses a power grid dispatching plan matching method and system based on visual character enhancement, belongs to the technical field of power grid dispatching, and aims to extract key dispatching entries through text simplification processing to remove redundant information, only retain core contents directly related to fault phenomena and disposal strategies, reduce the calculated amount of subsequent vectorization and matching and improve the matching efficiency. According to the method, the overall processing efficiency is improved, the semantic understanding capability on faults is improved by combining the visual features and semantic information of the keyword items, and the matching precision of a scheduling plan for solving the faults is improved on the basis of the relatively high semantic understanding capability, so that the matching efficiency and accuracy are improved, the timeliness and reliability of fault handling are ensured, and the fault handling efficiency is improved. And the operation stability of the power grid is obviously improved.

The invention relates to a multi-segment multi-contact power distribution network fault self-adaptive recovery method and system based on dynamic optimization. The method comprises the following steps: S1, fault primary judgment: judging whether a line has a fault or not; s2, segment merging: based on a dynamic optimization algorithm, merging the multi-segment line to a specified segment number according to the distribution transformer capacity; s3, path selection: the power distribution main station selects the longest trunk line for trial pull; s4, sequential test pull: the distribution master station remotely breaks the last section switch or outgoing line at the tail end of the line; step S5, fault re-judgment: the power distribution main station collects the terminal signal again to judge whether the fault is eliminated or not; s6, transferring and recovering power: judging whether a line fault still exists or not; and step S7, path optimization. Under the condition of limited remote control times, accurate isolation of a fault section can be adaptively completed, power supply of a non-fault section is efficiently recovered, the fault handling time is remarkably shortened, and the power failure range is narrowed.

The invention provides a spacecraft fault handling flow chart construction method and device and an executable script generation method and device, and can be applied to the technical field of computers. According to the spacecraft fault disposal flow chart construction and executable script generation method and device provided by the embodiment of the invention, the fault disposal process is described by adopting the state nodes, the fault disposal process is bound in a graphical manner, the fault disposal process is visually displayed, the operation is easy, the binding correctness of the fault disposal process is conveniently checked, and the fault disposal efficiency is improved. According to the fault disposal process description method based on the structured text, a starting node serves as a starting point, an ending node serves as an ending point, a node relation network is traversed according to a connection relation, graphical nodes and the relation network are converted into a fault disposal process structured description text, and the fault disposal process description text is converted into a fault disposal program. And the spacecraft fault can be automatically handled.

The embodiment of the invention provides an MRP redundant domain link fault processing method, network equipment and a system, relates to the technical field of networks, is applied to first network equipment, and comprises the following steps: after determining that a first port fails, judging whether a first message is received within a first preset duration, the first message is broadcasted in the first MRP redundant domain after the second network equipment determines that the second port is in a fault state; under the condition that the first network equipment is the MIM equipment in the MRP interconnection domain, switching the state of the first interconnection port into a forwarding state in which the message is allowed to be forwarded; and under the condition that the first network equipment is not the MIM equipment in the MRP interconnection domain, sending a second message to the MIM equipment, so that the MIM equipment switches the state of a second interconnection port of the MIM equipment to a forwarding state. By applying the scheme provided by the embodiment of the invention, when multiple links in the MRP redundant domain fail, the data message can be normally forwarded as far as possible.

This invention relates to the field of artificial intelligence technology and discloses a drilling operation assistance and fault analysis method and system based on multi-agent collaboration. By acquiring problem text data, it jointly processes problem semantic vector data and equipment parameter status snapshot data to generate knowledge-enhanced result data. Parallel reasoning is performed using operation assistance agents and fault detection agents. Inconsistent data states are processed for consistency based on a multi-agent collaboration mechanism. Finally, a comprehensive evaluation agent performs fusion reasoning to generate drilling operation assistance and fault handling suggestions. This invention combines a vector knowledge base and a knowledge graph dual-knowledge engine. Through multi-agent collaborative consistency processing, and with division of labor and cooperation under a unified scheduling mechanism, it continuously optimizes decision quality through context sharing and memory feedback loops. This provides on-site operators with full-process, traceable intelligent support, from operation guidance to fault tracing and handling suggestions.