15results about How to "Improve fault location efficiency" patented technology

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 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 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 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 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.