1514results about How to "Improve troubleshooting efficiency" patented technology

The invention discloses a method for starting a test network element to locate and remove faults in an NFV platform, and relates to the field of VNF. The method comprises the following steps: firstlypredetermining multiple NFF image templates for troubleshooting; selecting the NFF image templates and starting parameters according to fault pre-judgment, and then manually pre-judging or pre-judgingby the information collected by MANO; on the basis of the troubleshooting, judging whether an iteration mod is needed to further check whether the fault is a problem caused by many reasons; and finally reporting a troubleshooting result and releasing resources used in the troubleshooting process. The manual or upper layer MANO reference fault expression is imported, and the test network element is automatically started to detect and remove faults, thereby greatly reducing the troubleshooting efficiency and saving the locating time of network elements.

The invention discloses a construction method of a knowledge graph library for network fault analysis and application thereof, and relates to the technical field of network communication. The method comprises: using an intelligent method to carry out data acquisition on communication network data; constructing ontology libraries in different fields, constructing a global ontology library by adopting a data fusion and mapping technology according to the ontology libraries in different fields, and finally constructing a knowledge map library with consistent semantic relationships of various datasources through entity alignment, entity linking and knowledge calculation in sequence. The constructed knowledge graph library is used for retrieving possible reasons for causing the network fault,suggestions of a fault solution are provided for a user, rapid positioning and solution of the network fault are facilitated, the fault processing efficiency is improved, and meanwhile the influence of human factors is reduced.

The embodiment of the invention provides a worker dispatching method and device for fault repair. The method comprises steps of: obtaining fault reporting information including a fault location and fault information; determining worker dispatching factors according to the fault location and the fault information, wherein the worker dispatching factors are factors that affect the fault repair, and include first repair time, the level of a repair task and the idle degrees of repair workers, and the first repair time is the time required by the repair worker to reach the fault location; and finally, determining the repair worker to reach the fault location for repair according to the first repair time, the level of the repair task and the idle degrees of the repair workers. In the embodiment of the invention, respective worker dispatching factors that affect the fault repair are determined according to the fault location and the fault information, and then a worker is dispatched by comprehensively considering the respective worker dispatching factors rather than just the distance. A worker dispatching result more satisfies the actual situation of the fault so as to improve fault processing efficiency.

The invention provides a method for remotely monitoring and predicting the fault of a forklift loader. A pressure sensor, a temperature sensor, a vibration sensor, and a current/voltage sensor are installed on corresponding components of the forklift loader. A vehicular smart terminal acquires the status data of the corresponding sensors of the components and is proactively connected with a data center server. The data center server performs data interaction and instruction communication with the vehicular smart terminal via the Internet and stores acquired data in a corresponding data table. A data center monitor program periodically scans and compares historical data samples in a database, checks whether a fault exists in combination with an equipment maintenance log and component fatigue information, predicts components possibly generating faults, communicates with a user if finding out a abnormal condition, guides a forklift loader driver to troubleshooting the faults, prepares spare components and makes maintenance preparation, shortens detection, component preparation, transport, and maintenance time consumed between a shutdown caused by the faults and a restart as much as possible, and decreases losses caused by the faults.

The invention discloses a network monitoring method and a network monitoring system to solve the problems that the processes for performing analysis and fault elimination in the current network optimization and fault treatment flows have low real-time, poor accuracy and low efficiency. The network monitoring method provided by the invention comprises the following steps that: a network side receives session information reported by each terminal when sessions performed by the terminals respectively have abnormal events; according to the session information reported by a first terminal in the terminals, the network side acquires network side signaling information, which is received and transmitted during the time when the session information reported by the first terminal happens and belongs to corresponding sessions of the terminal, from acquired signaling information received and transmitted by a network side network element; and the network side performs fault analysis according to the session information reported by the first terminal and the acquired network side signaling information.

The invention provides a fault diagnosis method, a fault diagnosis device and a server. The fault diagnosis method comprises the following steps: establishing topology of a network system; obtaining alarm information in a network system; associating the alarm information with nodes in the topology, and determining a fault link; and determining a fault root node in the fault link according to a preset fault probability calculation rule. According to the method, the fault link is determined by associating the alarm information with the topology of the network system, so that the service influence range and degree caused by the alarm can be quickly obtained, the fault root node is determined in the fault link according to the preset rule, the automatic positioning and accurate positioning ofthe fault are realized, and the fault processing efficiency is improved.

The invention discloses an abnormal data analysis and fault positioning system of first-aid repair of a power distribution network and a method. The system comprises a power distribution network first-aid repair command platform which is connected with an intelligent public transformation monitoring system, an intelligent comprehensive leakage protector power distribution automation system, a 95598 system, an onsite line patrol monitoring device and an electricity utilization information acquisition system. The power distribution network first-aid repair command platform is used for distributing unique ID numbers to the power distribution automation system, the 95598 system, the onsite line patrol monitoring device and the electricity utilization information acquisition system respectively. Attributes of fault positioning schemes are gathered according to the fault positioning schemes, and each ID number is bonded a matched fault positioning scheme in the corresponding fault positioning scheme. Information transmitted by the power distribution automation system, the 95598 system, the onsite line patrol monitoring device and the electricity utilization information acquisition system are received and associated with corresponding ID numbers for classified storage. Fault positioning is performed on the information with the same ID numbers and positioning results are output.

The invention relates to the wireless network technology, in particular to a method for judging a fault of a network element. The method for judging the fault of the network element comprises the steps of S1, collecting alarm information of the network element according to a preset time period; S2, obtaining unhandled alarm information according to alarm handling zone bits; S3, grouping the unhandled alarm information according to an ID of the network element, analyzing the unhandled alarm information, and determining the type of the fault of the network element; S4, carrying out fault prejudgment based on historical fault information if the type of the fault of the network element cannot be determined, and determining the log extraction type; S5, having access to the network element according to the log extraction type to obtain logs of the network element; S6, carrying out fault analysis according to the logs of the network element, comparing the fault analysis result and the fault prejudgment result, marking the alarm handling zone bits of the alarm information to be handled if the fault analysis result and the fault prejudgment result are consistent, modifying the fault prejudgment result to be the fault analysis result if the fault analysis result and the fault prejudgment result are not consistent, and marking the alarm handling zone bits to be handled. Due to the fact that fault prejudgment is carried out on an alarm of the network element, fault removal efficiency can be improved, and manpower can be saved.

The invention discloses a running state monitoring and failure diagnosis method for a tobacco logistics system. The method comprises the following steps: (1) acquiring the whole running state information of the logistics system in real time on line through a data acquisition system; (2) remotely monitoring the state of common logistics system equipment in real time, and performing failure diagnosis; (3) firstly, determining various combination modes of the failure reasons of each key logistics equipment, and secondly, inputting a diagnosis rule into an SQL (Structured Query Language) database of a failure diagnosis server, wherein the diagnosis rule serves as the source of a failure experience knowledge base; (4) storing failure result information which is obtained by automatic diagnosis through the failure diagnosis server and serves as alarm information into a failure alarm record base, triggering a wireless alarm module, and informing an on-duty equipment maintainer of failure information immediately in a short message mode. According to the method, the failure burst rate of the tobacco logistics system is effectively reduced, the failure maintenance efficiency is improved, and the equipment maintenance cost is reduced.

The invention provides a method for diagnosing faults of a multi-model flight control system based on expected model expansion, comprising the following steps: making a statistic of various faults of the flight control system, and building a basic model collection; forecasting the probability of the multiple fault models at the current time, and building an expected model collection; combining the basic model collection with the expected model collection to build a fault model collection at the current time; filtering each fault model in the model collection at the current time, and updating the probability; if the probability of certain fault model in the model collection at the current time is more than or equal to the preset probability threshold value, judging that the flight control system has the fault corresponding to the fault model. The invention further provides a device for diagnosing the faults of the multi-model flight control system based on expected model expansion, comprising a basic model collection building module, an expected model collection building module, a model collection at the current time building module, a filtering and probability updating module and a fault judging module. The invention further provides a flight control system.

The invention relates to an automatic selling system. The automatic selling system is characterized by comprising multiple vending machines, a goods-replenishing site and a background server, whereinthe vending machines and the goods-replenishing site are both in communication connection with the background server. In the automatic selling system, automatic selling and automatic return goods replenishment can be achieved for the vending machines, and consumed labor resources are effectively reduced.

The invention discloses an online fault processing method and processing system. The method comprises the following steps: when having an online fault, collecting current device state information on an automated line; according to the current device state information, determining fault type; judging whether the fault type belongs to a severe fault; and if so, recommending an optimal fault reason and solution of the fault type according to preset fault priority, or otherwise, carrying out system automatic reset processing. The method can recommend the optimal fault reason and solution of the fault type, thereby not only reducing intervention and repairing frequency of maintenance personnel, but also improving fault solution efficiency, and realizing a purpose of intelligent fault processing; and the method is simple and easy to realize.

The invention provides a cable insulation state online automatic monitoring and diagnosis system. A real-time data acquisition module acquires discharge data of a cable; a data automatic analysis and processing module processes and analyzes the data and calculates earth leakage capacitive reactance and impedance of the cable, expresses change of the cable insulation state through the change trend of earth leakage capacitive reactance and impedance, sets an early warning threshold with an average value obtained through long term of measurement and calculation acting as a reference value and compares a real-time measurement result with the reference value to obtain relative deviation which is compared with the early warning threshold; a change curve drawing module draws a real-time cable insulation change curve so as to obtain a cable insulation change trend curve and draw an impedance change curve; a cable insulation fault early warning module performs early warning; and a database module is used for storing the acquired data and the results of the aforementioned modules. Monitoring and fault diagnosis can be automatically performed so that the aspect of accuracy of cable insulation monitoring and fault line selection can be powerfully and reliably guaranteed.

The invention provides an automatic black broadcast analysis method and intelligent identification device based on multi-attribute analysis. The device comprises a monitoring command center and one or more remote monitoring stations, the remote monitoring station receives measurement data of a to-be-measured broadcast signal and uploads the measurement data to the monitoring command center to maintain a monitoring database MDB, meanwhile maintaining a station database SDB by the monitoring command center, and storing the legal station information of the area. According to the method and device, the frequency attributes, geographic position attributes, channel occupancy attributes, launch time rule attributes, bandwidth attributes, polarization manner attributes and voice attributes of frequency points are extracted from the collected measurement data, the validity of the attributes of the frequency points are automatically analyzed, and whether the broadcast signal is a black broadcast signal is comprehensively analyzed. By adoption of the method and device, the working efficiency of signal monitoring and collection in a black broadcast investigation process can be effectively improved, the accuracy of identifying suspected signals is improved, and the black broadcast investigation efficiency is improved.

The invention relates to a single-phase earth fault direction judgment and processing method of a small current grounding system. In terms of a fault direction judgment method, the session which a single-phase fault point belongs to on a main line is judged according to zero-sequence currents, zero-sequence voltage and the included angle relation between the zero-sequence currents and the zero-sequence voltage tested through a section switch on the main line where a single-phase earth fault occurs, the fault session is isolated according to the judgment result, and normal power supply of a non-fault session line is guaranteed to the largest extent. According to the judgment and processing method, the single-phase earth fault session of the main line can be automatically isolated, and power supply reliability of a power distribution network is improved; additionally, according to the single-phase grounding direction judgment method, a main line boundary function is embedded in the section switch of a 10kV feeder line, the range in power failure caused by the single-phase earth fault can be shortened to the largest extent, and accordingly reliability and safety of power supply are improved.

The invention discloses a log processing method and log processing electronic equipment. The method comprises the following steps: when a log processing condition of a preset type is conformed, obtaining target log information corresponding to at least one piece of target service from the log information of each piece of service which is uniformly stored; and carrying out the log processing of the preset type on the target log information. obviously, the multi-service log information is uniformly stored to overcome the problem caused in a way that the log information of each piece of service is independently stored in a partitioning way in the prior art; when a certain API (Application Program Interface) carries out penetration access among different pieces of micro-service, the log information of different pieces of service to which the penetration access relates can be uniformly obtained from the multi-service log information which is uniformly stored, so that the uniform analysis and the quick and accurate error positioning of the log information can be subsequently carried out, debugging efficiency is effectively improved, and convenience is provided for log processing under a micro-service environment.

The embodiments of the application disclose a network fault positioning method. The method comprises the following steps that: a network device detects a fault and determines a fault cause; the network device generates a fault packet according to the fault cause, and sends the fault packet to a fault analysis device; and the fault analysis device receives the fault packet sent by the network device, obtains the fault information corresponding to the fault packet, and determines that the network device is a target device if the fault information meets a preset condition. According to the network fault positioning method, a related device, and a computer storage medium, the problems that the positioning is inaccurate, the efficiency is low, and the like when the network fault caused by a spanning tree protocol is artificially analyzed are solved.

The invention provides a vehicle fault processing method and device and an electric vehicle. The vehicle fault processing method comprises the steps of determining a fault grade of the vehicle and a fault processing strategy corresponding to the fault grade according to a target fault of the vehicle, wherein different fault grades correspond to different fault processing strategies; and transmitting first indication information to a user, wherein the first indication information is used for indicating the fault processing strategy corresponding to the fault grade of the vehicle. According to the embodiment of the invention, the different fault processing strategies are indicated for the user according to different fault grades so that the fault processing efficiency is enhanced; and furthermore, a function of intelligently prompting the fault processing strategies is increased for the vehicle, market problem treatment is made more convenient, the user satisfaction degree is increased,and the occurrence probability of traffic accidents is reduced.

The invention is suitable for the field of artificial intelligence, and provides a power grid inspection method and device based on artificial intelligence, computer equipment and a storage medium, and the method comprises the steps: obtaining a first image; performing feature recognition on the first image through a pre-trained target detection model, detecting whether target features exist in the first image or not, wherein the target features include power part features; if the target feature exists in the first image, calculating position information of the target feature in the first image; calculating pan-tilt control parameters according to the position information of the target features in the first image; and sending the pan-tilt control parameters to a pan-tilt to adjust the poseof the pan-tilt, obtaining a second image through shooting, wherein the second image comprises the target features. The operation amount of an operator and the searching amount of a technician for photos can be reduced, so that the troubleshooting efficiency of the technician is improved.

The invention discloses a terminal fault processing method. The terminal fault processing method comprises the following steps: when detecting a fault by a terminal, acquiring a current fault code according to a preset fault code table; generating fault information according to the fault code; and calling a fault active reporting interface to transmit the fault information, a fault file and identification information of the terminal to a server, so that the server can store the fault information, the fault file and the identification information of the terminal in association, wherein the fault file comprises a log file. The invention further discloses a terminal fault processing device and system. The terminal fault processing method, device and system provided by the invention improve the fault processing efficiency of the terminal.