29results about How to "Improve fault location efficiency" patented technology

The invention provides a communication network operation and maintenance fault positioning and tracking method and system, relates to the technical field, and belongs to the technical field of communication network fault diagnosis. According to the method, historical operation data, including network flow data, performance index data and alarm log data, of communication network equipment are collected, fault feature vectors are generated through training of a deep learning model, and a fault feature knowledge base is constructed; receiving operation data reported by equipment in real time to perform feature extraction, and performing similarity matching based on the fault feature knowledge base to determine a fault type; and analyzing a fault propagation path by adopting a graph traversal algorithm, determining fault root cause equipment by calculating a fault probability score of an equipment node, and generating a fault tracking report. According to the invention, accurate positioning and rapid diagnosis of communication network faults are realized, the fault processing efficiency is improved, and the network operation and maintenance cost is reduced.

The embodiment of the invention provides a fault positioning method and device based on association rules, equipment and a program product. Relates to the field of energy storage system fault diagnosis. The method comprises the following steps: acquiring a state code, a fault code and an operation parameter of the energy storage thermal management equipment; based on the state code, the fault code and the operation parameter, generating a fault rule base by adopting an association rule mining algorithm; unsupervised clustering analysis is carried out on the operation parameters, and abnormal data deviating from the standard are screened out; fusing the abnormal data with the fault rule base to generate a fault map; and based on the fault map, a fault positioning report of the energy storage thermal management equipment is output, the fault positioning report at least comprises a fault propagation path and a maintenance scheme, and the fault propagation path is a path of a causal relationship between the fault code and the abnormal mode. The method is used for achieving the effect of improving the fault positioning efficiency and accuracy.

The invention relates to a fault warning method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring alarm data in a target time period and an alarm feature vector corresponding to the alarm data; performing clustering processing on the alarm data based on an area to which the alarm data belongs and the alarm feature vector to obtain at least one cluster; aiming at each clustering cluster, carrying out content aggregation on the alarm data contained in the clustering cluster to obtain an alarm node corresponding to the clustering cluster; and analyzing an association relationship among the alarm nodes through an association analysis strategy, generating a fault directed graph network based on the association relationship among the alarm nodes, and outputting the fault directed graph network. By adopting the method, the fault positioning efficiency can be improved.

The invention discloses an overhead line grounding fault positioning method and system based on a double-frequency signal, relates to the technical field of line fault identification and positioning, and solves the problem of providing high enough accuracy and efficiency in fault detection and positioning tasks in a complex environment in the prior art. According to the method, an online learning algorithm is combined, the model can be dynamically adjusted according to new data, and the positioning accuracy and the response speed are further improved. Through carefully designed feature selection and construction processes, features most related to fault types and positions can be captured, so that rich information is provided for the model. Advanced machine learning algorithms such as random forests are used, a cross validation technology is combined, fault modes are effectively learned from data, and model parameters are optimized. The method based on data driving not only improves the accuracy of fault detection, but also enhances the generalization ability of the model to unknown fault modes, and provides powerful support for stable operation of a power system.

The invention discloses a PIM neighbor Down fault positioning method and device. The method comprises the steps that S01, network alarm data are loaded, wherein the network alarm data comprise an equipment port Down alarm and a PIMNbrDown alarm; s02, checking whether a physical interface of the equipment enables PIM or not; s03, checking whether the PIM state of the interface is UP or not; and S04, checking whether the PIM configuration on the interface is correct or not. According to the PIM neighbor Down fault positioning method and device, alarm acquisition analysis, protocol state acquisition analysis and configuration acquisition analysis are carried out on the PIM neighbor Down fault network element, the PIM neighbor Down fault reason is positioned, the working pressure of network operation and maintenance personnel is relieved, and the operation and maintenance efficiency is improved.

The invention provides a fault positioning method, fault positioning equipment, a target network element and a device, the method is applied to the fault positioning equipment, the fault positioning equipment is connected with a plurality of network topology structures, the plurality of network topology structures comprise respective network elements, and the method comprises the following steps: responding to a fault positioning instruction; determining a fault collection file of a target network element to be positioned; sending the fault collection file to the target network element, wherein the fault collection file is used for the target network element to generate fault index data; receiving the fault index data sent by the target network element; and carrying out fault positioning on the target network element according to the fault index data. According to the scheme provided by the invention, the influence on the normal service of each network element in the network topology structure can be reduced, and the fault positioning efficiency is improved.

The invention discloses a BGP Down fault positioning method and device, and the method comprises the steps: S01, loading network data, and detecting a BGP state; s02, logging in the home terminal equipment, and detecting the state of the home terminal equipment; and S03, logging in the opposite-end equipment, and detecting the state of the opposite-end equipment. According to the BGP Down fault positioning method and device, expert ability is attached, alarm information, a network protocol and a test command are combined, BGP Down fault diagnosis is automatically carried out, check result data are analyzed and processed in real time, timeliness is guaranteed, BGP Down faults are processed and analyzed in a flow mode, network operation and maintenance personnel are helped to rapidly position service faults, and the fault positioning efficiency of the BGP Down is improved. And the working pressure is reduced, the fault positioning process is standardized and automatic, the possibility of manual error checking and missing checking is reduced, the accuracy of fault diagnosis is improved, and the efficiency of fault positioning is improved.

The present application discloses a fault location method and device, a storage medium and a computer program product, and relates to the field of computer technology. The method includes: obtaining the address information of a server; wherein the address information includes the address information of input and output ports, the system address topology, and the address information of each peripheral device; when a peripheral device fault is detected, determining the fault address corresponding to the peripheral device fault; determining the corresponding fault address type according to the fault address, and performing fault location based on the fault address type and the address information of the server. The fault location method provided by the present application realizes automatic location of peripheral device faults by a baseboard management controller, and the baseboard management controller collects the address information of the server in advance. When a peripheral device fault is detected, the fault location is automatically realized according to the fault address and the pre-collected address information, realizing full automation of fault data collection and fault location, and improving the efficiency of fault location.

The invention relates to the technical field of computers, and discloses a log printing method and device, equipment, a storage medium and a program product. The method comprises the following steps: in response to a situation that a service module does not generate a log of a target log level, according to a first log level currently corresponding to the service module in log configuration information, printing the log, which is not lower than the first log level, of the service module; in response to the log of the target log level generated by the service module, modifying the log level corresponding to the service module into a second log level in the log configuration information, and printing the log, which is not lower than the second log level, of the service module, the first log level is not higher than the target log level, and the log level corresponding to the service module in the log configuration information is used for representing the lowest log level needing to be printed by the service module. More log information for fault positioning can be obtained, so that the fault positioning efficiency is improved.

The embodiment of the invention discloses a performance root cause positioning method and device for a micro-service system, a medium and a product, and relates to the technical field of micro-services. The method comprises the following steps: in response to an abnormal instruction of a service performance index of a front-end entry service, determining a candidate service set which is in the same service calling link as the front-end entry service, and obtaining a response time sequence of each candidate service in a preset time window; determining a baseline value, converting the original response time into a normalized relative change rate, and determining a service subset having fluctuation similarity with the front-end entry service; performing timing causal analysis on the service subset to determine a timing causal score; and determining a comprehensive root cause score based on the fluctuation similarity, the influence weight and the time sequence causal score, determining a root cause service with the highest confidence coefficient according to the comprehensive root cause score, and outputting a root cause report. According to the scheme of the invention, when the performance of the front-end entry service is abnormal, the root cause service is automatically identified, and the fault positioning efficiency is improved.

The application discloses a fault prediction method and device, equipment and a storage medium, and belongs to the field of vehicle engineering. The method comprises the following steps: calling a fault prediction model, outputting a target fault based on vehicle data of a target vehicle; the vehicle data comprises k-dimensional data; k is an integer greater than 1; using an association rule mining algorithm, analyzing the vehicle data and the target fault, and determining a target dimension combination for explaining the fault cause; the target dimension combination comprises at least one dimension in the k dimensions; and outputting a fault diagnosis result, wherein the fault diagnosis result comprises the target fault and the target dimension combination. The method can improve the fault diagnosis accuracy.

The invention relates to the technical field of database monitoring, in particular to a Prometheus-based database monitoring method, which comprises the following steps of: for each database, capturing original data of the database based on Prometheus according to a preset data acquisition rule; processing the original data based on Prometheus to obtain dynamic information and static information, corresponding to a plurality of indexes, of a database; and determining at least one fault index corresponding to the database and the fault type and the fault level of each fault index in combination with the dynamic information and the static information of the plurality of indexes. The invention aims to improve the database monitoring efficiency and accuracy, improve the fault positioning efficiency, facilitate the reduction of the database fault risk, and improve the stability and reliability of the system.

The invention provides a universal storage adaptation method for a cloud computing platform, which belongs to the technical field of cloud computing, and is characterized in that an OpenStack Cinder is cut, only a driver of a butt-joint storage manufacturer and a relevant part of a configuration file are reserved, an API (Application Program Interface) entry and business logic are self-researched to form an IaaS (Infrastructure as a Service) micro-service storage adapter storage-cinder, and RESTful interfaces such as volumes, snapshots and the like are externally provided. When new storage is docked, information such as a management IP and a storage pool is collected, a corresponding cinder driver file is obtained and put into a K8S specified directory, and ciner.conf is edited and written into back-end configuration; and the cloud platform block storage service calls an adapter interface through a driver of the cloud platform block storage service to complete operations such as management and subsequent creation, deletion, mounting, unloading and the like. According to the scheme, the new storage adaptation development and joint debugging workload is reduced, and the delivery efficiency is improved.

The invention discloses an operator DICT project management and control system and method based on machine learning, belongs to the technical field of communication network operation and maintenance, and aims to solve the technical problem of how to realize automatic monitoring and fault prediction of each stage process of a DICT project and improve the operation and maintenance efficiency and accuracy. Comprising a data acquisition layer which acquires multi-source data through an edge operation and maintenance box and uploads the preprocessed multi-source data to a data fusion layer; the data fusion layer is used for carrying out standardization processing and feature extraction on the preprocessed multi-source data; the intelligent analysis layer is used for performing fault prediction analysis, root cause positioning and optimization suggestion generation on the time series data based on the model in the model library; and the management and control display layer issues the early warning notice to the executor and is used for displaying an execution result log recorded by the executor and returning the execution result log to the data acquisition layer to form closed-loop management and control.

This invention discloses a data management system and method for memory chip testing, relating to the field of chip testing technology. The invention acquires the memory chip under test from a hard disk drive, collects raw event data during the testing process and generates standard event data, compresses it according to the testing process sequence to obtain stage status data, and connects adjacent stages into directed stage pairs. It extracts the deviation values ​​of preceding and following terms, calculates the forward sequence ratio, response enhancement value, average deviation value of the preceding term, and average deviation value of the following term to obtain the influence relationship; filters effective influence relationships and splices them into candidate influence chains according to the testing process sequence; combines the link stability value and hard disk anomaly coverage value to calculate the link attribution value, determines the main influence chain, and outputs test conclusions including chip identity, region, environmental conditions, initial anomaly type, and associated hard disk performance. This invention can achieve quantitative localization of abnormal links in the testing process, improving the efficiency of memory chip test data analysis.

The invention provides a service monitoring method, a model training method, equipment, a medium and a product, and relates to the field of artificial intelligence, and the service monitoring method comprises the steps: obtaining first operation data of a service platform; analyzing the first operation data, and determining a first log key set in the first operation data; determining a first operation state of the service platform according to the first log key set; and under the condition that the first operation state indicates abnormity, determining a first abnormal service corresponding to the abnormity in the service platform according to the first operation data. Namely, the service platform operation data is taken as a processing object, whether the platform service abnormity exists is judged, the service corresponding to the abnormity is further judged, and the fault positioning efficiency can be improved.

The present invention discloses an integrated architecture and implementation method of an automated terminal production command and control system, including a terminal production system, an equipment control system, a data conversion system, an information management system, and a client; the terminal production system and the data conversion system both adopt a distributed architecture; the terminal production system includes a first command distribution service, a first load balancing service, and multiple first functional services; the data conversion system includes a second command distribution service, a second load balancing service, and a second functional service; the load balancing service is respectively connected to the client, the command distribution service, and each functional service for communication, receiving the service request of the client, the microservice list formed by each functional service registered on the command distribution service, and issuing service requests to each functional service according to the classification of the service request and the microservice list. The present invention improves the isolation between each microservice, improves the stability, reliability, and scalability of the system, shortens the fault location time, and improves the troubleshooting efficiency.

The application discloses a PIM neighbor Down fault positioning method and device, wherein the method comprises the following steps: S01, loading network alarm data, including: device port Down alarm and PIM NbrDown alarm; S02, checking whether the physical interface of the device enables PIM; S03, checking whether the PIM state of the interface is UP; and S04, checking whether the PIM configuration on the interface is correct. The application discloses a PIM neighbor Down fault positioning method and device, wherein the network element with the PIM neighbor Down fault is analyzed through alarm collection, protocol state collection and configuration collection, the cause of the PIM neighbor Down fault is positioned, the work pressure of network operation and maintenance personnel is reduced, and the operation and maintenance efficiency is improved.

The invention provides a game prize pool expectation regression testing method and device, electronic equipment and a storage medium, and relates to the technical field of regression testing. The method comprises the following steps: receiving a Taiyte-level production data flow of a game prize pool, and labeling according to a business risk level, an access frequency and a historical defect rate in a partitioned manner; based on a preset four-dimensional weight formula, calculating a sampling weight of each partition data stream, and performing differential sampling by using a dynamic sampling probe; the KL divergence of the current weight distribution and the target weight distribution is calculated by taking a preset time window as a unit, and if the KL divergence exceeds an alarm threshold value, a weight drift root cause is positioned through LIME sensitive path analysis and call chain tracking; calculating a weight deviation compensation value through a PID (Proportion Integration Differentiation) controller, and adjusting the sampling weight in real time; long-tail scene coverage is enhanced based on a GAN model and a traffic playback amplification technology; and carrying out KS test and quantile anchoring on the test data to verify the weight distribution consistency. A long-tail scene is fully covered, and a verification-drift-correction closed loop is realized.

The invention discloses a machine room asset checking method and system based on an online visualization tool, belongs to the technical field of communication machine room asset management, and aims to solve the technical problems of data authenticity, position visualization and planar graph effectiveness in communication machine room asset management. Comprising the steps of drawing a machine room plane graph through an online visual tool, generating rack positions in batches by initializing layout parameters, splitting AB operation surfaces or combining adjacent AB surfaces according to a rule, calculating a safe distance between the rack positions and obstacles, performing typesetting and alignment on the rack positions, and dynamically displaying the rack positions / rack states in a color and frame mode. Editing the outline of the machine room and the position of the rack in a dragging mode; and synchronizing the drawn plane graph data to a checking system through an API (Application Program Interface), carrying out three-level comparison on the plane graph data and stock data of the comprehensive capital system, marking the position of a problem rack, and exporting a rectification list containing coordinate screenshots.

This invention discloses a method and system for fault diagnosis of substation monitoring information acceptance, comprising: obtaining actual trigger signals from on-site commissioning personnel and querying the point number and Chinese description of the signal in the monitoring information table; forming full-link configuration information of the actual trigger signals on-site using the point number, SCD file, RCD file, and monitoring information table; performing a first self-check on the RCD file, SCD file, and monitoring information table based on the Chinese description of the signal; receiving a 104 message output by the automatic acceptance device and obtaining the point number and timestamp of the monitoring information based on the 104 message; finding the corresponding information in the MMS message and GOOSE message based on the point number and timestamp to form a monitoring information transmission stream; performing a second self-check on the Chinese description of each link in the monitoring information transmission stream; and comparing the monitoring information transmission stream with the full-link configuration information to find the fault point. This invention has a high fault location accuracy.

The invention discloses a fault information processing method and device for a solid state disk, equipment and a medium, which are applied to the technical field of computers and aim to solve the problem that fault information is easy to lose. If a completion message returned to the flash translation layer exists within a first preset duration, determining a target register and a target storage area in the double-rate synchronous dynamic random access memory according to the current read-write operation request, and adding fault field information to the completion message; triggering the target register to interrupt the current operation, and importing the fault information in the target register into the target storage area; returning the completion message added with the fault field information to the flash memory conversion layer, and writing the fault information in the target storage area into the nonvolatile memory through other normal channels based on a write request returned by the flash memory conversion layer; data loss can be effectively prevented, and the fault positioning efficiency can be improved.

The embodiment of the invention provides a vehicle fault positioning method and system, and the method comprises the steps: determining whether a vehicle is in a preset state or not through controlling the states of a plurality of relays in a battery system if the condition that the insulation resistance value of the vehicle is abnormal is monitored in the charging process of the vehicle, the preset state is used for representing that the battery system is in a working state and does not exchange energy with charging equipment outside the vehicle; under the condition that the vehicle is in the preset state, the states of switch tube assemblies in the multiple load components are controlled according to the preset triggering sequence, and the insulation resistance value of the vehicle is monitored; and based on the insulation resistance value, determining a target component of which the load component has an abnormal insulation resistance value. According to the invention, the technical problem of low vehicle fault positioning efficiency in the prior art is solved.

The invention provides an information management method and system based on an integrated management platform and electronic equipment, and the method comprises the steps: carrying out the preprocessing of original multi-source data collected by a preset interface, and carrying out the classified storage of the preprocessed data and the configuration data of the integrated management platform; judging whether the integrated management platform triggers hierarchical alarm or not based on the classified and stored data; if the integrated management platform triggers grading alarm, alarm information is generated based on a preset alarm grading processing strategy, the alarm is processed, and then root cause analysis is carried out based on the alarm information and the classified and stored data; and performing visualization based on the target data to generate visual information and displaying the visual information. According to the invention, the infrastructure, the application performance, the interface operation and the business log can be monitored in a centralized and classified manner, the fault positioning efficiency is improved, and related personnel can make accurate decisions based on the business data.

The application relates to a power distribution network fault positioning method, device, equipment, storage medium and product. The method comprises the following steps: in response to a fault occurring in a power distribution network, acquiring electrical signals of different fault recording devices in the power distribution network before and after the fault occurring in the power distribution network; processing each electrical signal respectively to obtain time-frequency characteristics of the corresponding fault recording device; selecting at least one candidate fault line from different power distribution lines of the power distribution network according to the time-frequency characteristics; and determining a target fault position of the power distribution network according to the time-frequency characteristics and historical fault information of each candidate fault line. The method can improve the fault positioning efficiency and meet the real-time requirement.

The application provides a method and device for recommending an alarm node, wherein the topological relationship, level and alarm data in a specified time window of each alarm node are acquired, the alarm time sequence feature score of each alarm node is determined according to the alarm time and the topological relationship, the topological influence range score of each alarm node is determined according to the topological relationship and the level, the abnormal intensity score of each alarm node is determined according to the alarm level and the alarm level weight, the comprehensive confidence score of each alarm node is comprehensively determined, the scores are determined through the time dimension, the topological influence and the alarm abnormal intensity, the decision process is clear and the accuracy of the comprehensive confidence score is improved, the recommended alarm node is determined according to the size of the quantitative comprehensive confidence score, a clear troubleshooting order basis is provided for operation and maintenance personnel, and the fault positioning efficiency is improved.

The invention relates to the field of online monitoring of cable joints, in particular to an online monitoring method and device special for a cable joint, and the method comprises the core steps: S1, carrying out the induction power taking through a redundant energy capturing unit CT, and carrying out the power supply through a backup lithium battery; s2, the anti-interference sensor unit collects signals through hardware isolation and time sharing; s3, an intelligent data processing unit processes data by using a three-layer convolution + two-layer full-connection CNN (Convolutional Neural Network); s4, the high-protection wireless communication unit transmits through LoRa; s5, the dual-mode positioning unit carries out positioning through GPS / Beidou + LoRaTDoA; s6, remote data modification unit wireless interaction and authority management and control; and S7, performing self-repairing shell protection. Each power utilization unit is powered by the redundant energy capture unit and cooperatively monitors the temperature and the operation state of the connector. The device has the advantages of strong anti-interference capability, continuous power supply, IP68 protection, full-scene positioning, remote operation and maintenance, adaptation to high-voltage and low-voltage joints, cost reduction and fault finding time shortening.

The application discloses a kind of electrochemical energy storage power station safety debugging and detection method and system, it is related to electrochemical energy storage power station operation safety and operation and maintenance detection field.The method is by electricity and safety confirmation, communication connection and equipment topology identification, low voltage isolation and insulation pre-inspection, high voltage controlled closing and double authorization, multi-source data acquisition and fusion diagnosis, step-by-step fault location and safety rollback, structured report generation and health record update, realize the safety, standardization and intelligent processing of energy storage power station first commissioning, periodic retest and fault location.The system is encapsulated in multifunctional safety inspection box, with electricity, measurement, acquisition, control and host computer collaborative function, can carry out comprehensive detection and linkage control to voltage, temperature, insulation, grounding and communication state, can improve abnormal identification precision, fault location efficiency and operation safety, and enhance life cycle management capability.

The present application provides a fault detection circuit, instrument, method, device, system, equipment and medium, wherein the fault detection circuit includes a first signal interface, a second signal interface, a first indicator light and a second indicator light; the first signal interface is used to connect to the transmitting end of the node device to be detected of the broadband satellite access network; the second signal interface is used to connect to the receiving end of the node device to be detected; the first indicator light has unidirectional conductivity, and the positive pole of the first indicator light is connected to the first signal interface; the negative pole of the first indicator light is grounded through a first protective resistor; the second indicator light has unidirectional conductivity, and the positive pole of the second indicator light is connected to the second signal interface through a second protective resistor; the negative pole of the second indicator light is connected to the first signal interface. The fault of the broadband satellite access network can be determined by the status of the first indicator light and the second indicator light, which is convenient and quick; and the fault detection circuit provided in the embodiment of the present application is easy to make and low in cost.