106results about How to "Improve troubleshooting efficiency" patented technology

The invention discloses a loss diagnosis and health management system and method for a transformer, and belongs to the technical field of intelligent transformers, and the system comprises a thermal fingerprint module which is used for recording a temperature drop curve of each part of the transformer after planned power failure, and obtaining a thermal inertia fingerprint of the transformer based on the fitting of multiple temperature drop curves; the theoretical temperature module is used for calculating the theoretical cold body temperature of each part of the transformer based on the real-time environment temperature and the thermal inertia fingerprint when the transformer runs; the net temperature rise module is used for acquiring the actual temperature value of each part of the transformer and subtracting the corresponding theoretical cold body temperature from the actual temperature value; weak thermal characteristic signals caused by insulation aging and loss abnormity of the transformer can be accurately extracted from strong background noise such as load fluctuation and environment temperature through technologies such as thermal inertia fingerprint construction and net temperature rise separation, early diagnosis of progressive health deterioration is realized, support is provided for intervening potential faults in advance, and the fault diagnosis accuracy is improved. And the passive situation of post-treatment of operation and maintenance is changed.

The invention discloses a belt conveyor fault intelligent inspection and diagnosis method and system based on digital twinning, and the method comprises the steps: building a digital twinning model of a belt conveyor, and fusing a three-dimensional geometric model and a physical behavior model, constructing a fault simulation model for simulating the incidence relation between different fault types and physical parameters based on a digital twinborn model; collecting and preprocessing multi-source data, loading a fault detection model to recognize an image, and fusing physical parameter data; performing fault reasoning by the intelligent reasoning model; the digital twin model reproduces a fault scene based on the fault simulation model and loads solution simulation; if the result is valid, issuing an instruction; according to the diagnosis method, a digital twin model associated with equipment behaviors is built, comprehensive diagnosis is performed by combining image data and physical parameter data, fault and behavior association is realized, and faults are accurately positioned; the fault simulation model cooperates with the digital twin model to reproduce a fault scene, and loads reasoning result simulation and a virtual-real combined mechanism control instruction to guarantee operation and maintenance safety.

The invention discloses a multi-source heterogeneous data dynamic causal blood relationship tracing method and a related device, and belongs to the technical field of data blood relationship detection.The method comprises the steps that static blood relationship metadata and dynamic index time sequence data of aviation test data are collected, a dynamic causal blood relationship map is constructed, each edge of the map is associated with a causal strength weight, and the dynamic causal blood relationship is obtained; and reverse traceability is carried out through the dynamic causal blood relationship map, and root cause nodes causing abnormity are determined. Static consanguinity and dynamic indexes are collected, a dynamic causal consanguinity map with nodes as triads and edges carrying causal strength weights is constructed, and dynamic attributes of the map break through static relevance limitation, so that traceability can reveal state change and causal dynamics; the influence degree between nodes is quantized by introducing a causal strength weight, and the root cause is determined by combining a probabilistic reasoning model, so that the spanning from fuzzy association to quantitative positioning is realized, and the problems that the root cause positioning is fuzzy and is lack of quantitative analysis are solved.

The invention discloses a lithium battery system with a remote upgrading function, belongs to the technical field of lithium battery management, and aims to solve the problems that an existing system is high in field upgrading cost, easy to fail in upgrading, split in operation and maintenance functions, lack of outdoor theft prevention and the like. The system comprises a lithium battery body, a BMS (Battery Management System), an embedded Web UI (User Interface) and a multi-protocol communication module, the BMS is integrated with an Ethernet, a CAN (Controller Area Network) and an RS485 (Recommended Standard 485) communication unit, an upgrade failure three-level protection mechanism is set, and host-slave parallel operation collaborative upgrade and configuration persistence are supported; the embedded Web UI integrates refined log management, three-level password authority control and anti-theft closed-loop control functions; the multi-protocol communication module is compatible with ModbusTCP and SNMP protocols, and has interface backup and fault redundancy design. According to the system, remote upgrading, integrated operation and maintenance and safety protection of the lithium battery are achieved, the upgrading success rate reaches 99.8% or above, the operation and maintenance cost is reduced by 90%, the fault processing efficiency is improved by 85%, and the system can flexibly adapt to scenes such as a communication base station and a data center and has high practicability and market competitiveness.

The invention discloses a session management method and device, computer equipment and a storage medium. The method comprises the following steps executed by a participating node: receiving a first connection establishment request sent by a coordinating node when the coordinating node is switched from a fault state to a normal state, and obtaining a current state of the participating node; when the current state of the participating node is a normal state, inquiring a participating node session pool by adopting a global unique session identifier, and judging whether a historical local session corresponding to the participating node exists or not; when the historical local session corresponding to the participating node exists, verifying the historical local session based on the version information, and determining and executing a current local session corresponding to the participating node; and when the historical local session corresponding to the participating node does not exist, creating and executing a current local session corresponding to the participating node based on the session parameter information. According to the method, the dependence degree of the participating nodes on the coordination nodes can be reduced, the fault processing complexity and the system resource consumption are reduced, and the fault processing efficiency is improved.

The application relates to the technical field of ring network boxes, and discloses a one-two fusion convenient maintenance ring network box, which comprises a box body and a plurality of electrical elements arranged in the box body, the box body comprises a top plate, side plates and a bottom plate, a plurality of heat dissipation holes for heat dissipation are formed in the side plates, a switching-on and switching-off knife is arranged on the electrical elements, a connecting groove is formed in the switching-on and switching-off knife, a magnetic block is arranged on the groove wall of the connecting groove, a driving rod is further connected to the switching-on and switching-off knife, a plurality of trigger rods are arranged on the driving rod, an adsorption block which is magnetically opposite to the magnetic block is arranged at the end of the trigger rod away from the driving rod, and the adsorption block extends into the connecting groove. The one-two fusion convenient maintenance ring network box realizes the synchronous switching-on and switching-off of a plurality of switching-on and switching-off knives through single operation of the driving rod and the trigger rod, and the condensate water on the inner walls of the side plates is scraped off through the dehumidification mechanism, so that the maintenance efficiency of the ring network box is improved, and the safe work of the electrical elements in the ring network box is ensured.

This utility model relates to the field of manifold technology and discloses a gas manifold with gas leak detection function. The novel solution includes a gas manifold, with a mounting cover fitted around the gas delivery pipe. An externally threaded connecting ring is integrally formed at the bottom of the mounting cover, and a sealing sleeve is screwed onto the outside of the externally threaded connecting ring. A magnetic ring is embedded at the bottom of the sealing sleeve. This utility model, by setting the mounting cover and sealing sleeve at the connection between the gas delivery pipe joint of the gas manifold and the mouth of the gas storage cylinder, completely covers the joint where it meets the mouth of the gas storage cylinder, forming a closed detection space. This confines the leaked gas to a small area. Combined with a concentration detection sensor on the mounting cover, it enables rapid detection and source location of leaks. Simultaneously, an independent audible and visual alarm is installed on the outside of the mounting cover to ensure that operators are alerted immediately to pinpoint the fault when a leak occurs.

The application discloses a method for checking a short-circuit fault position point of a high-voltage device, which comprises the following steps: S1, establishing a substation feeder switch cabinet circuit breaker protection tripping historical fault information account; S2, establishing a substation feeder switch cabinet circuit breaker protection setting information account; S3, acquiring protection tripping fault information of a microcomputer protection device of a substation feeder switch cabinet circuit breaker; S4, converting a secondary action current value of the microcomputer protection device into a primary short-circuit current value, comparing and analyzing the primary short-circuit current value with a primary short-circuit current value of a line historical fault information account, and combining the protection setting information account to preliminarily analyze and determine the position of a short-circuit fault point; and S5, acquiring user-side device tripping fault information to finally determine the position of the short-circuit fault point. The application can quickly determine whether a fault point is on a power line side or a user side, comprehensively analyze and determine the position of a short-circuit fault point, realize quick searching of the short-circuit fault point, and improve the fault searching efficiency.

The application provides a power transformation equipment fault tripping monitoring system, method, medium and program product, and relates to the technical field of power grid fault processing. The monitoring system comprises: a data acquisition system, configured to acquire system operation data of a power grid system; if it is detected that the system operation data contains alarm information of a target substation and position change information of a switch in the target substation, the alarm information and the position change information are sent to a tripping judgment system; the tripping judgment system is configured to determine whether there is an operation and maintenance record corresponding to a time stamp; if not, it is determined that the switch has failed tripping, and the time stamp and a target switch identifier of the switch are sent to a tripping analysis system; the tripping analysis system is configured to determine system operation data of the target substation within a first preset time length corresponding to the time stamp according to the target switch identifier, and generate a fault tripping report of the switch. The application improves data collection efficiency, automatically realizes research and judgment of fault tripping, and further improves fault troubleshooting efficiency and fault processing efficiency.

The invention discloses a data processing method, a data processing device, a computer readable storage medium, electronic equipment and a computer program product, and the method comprises the steps: obtaining memory usage data and event response data of a target application, and determining the correlation degree of an interaction event and memory leak according to the memory usage data and the event response data, and positioning an interaction event causing the memory leak. Thus, a developer can check the function point corresponding to the interaction event based on the positioned interaction event so as to check whether the function point can cause memory leakage, and compared with a mode that the developer checks all the function points one by one, assistance can be provided for the check work of the developer, so that the check efficiency is improved.

The invention discloses a fault diagnosis method and device for an unmanned sweeper. According to the scheme, the method comprises the steps that vehicle running state data, environment monitoring data and automatic driving sensing data related to automatic charging and water adding are collected through a multi-source sensor; transmitting the data to a fault diagnosis center, performing early prediction on progressive faults by the fault diagnosis center by adopting a preset algorithm, and performing real-time detection and classification on sudden faults including overcurrent faults, short-circuit faults and leakage faults; the collaborative decision-making center generates a safety protection strategy adaptive to an automatic charging and water adding scene based on fault type and grade information output by the fault diagnosis center, and issues a control instruction to a vehicle automatic driving system and an energy control system; and executing the control instruction to realize fault loop isolation, automatic charging and water adding task adjustment or charging and water adding equipment protection, and meanwhile, reporting fault information to a remote monitoring system for operation and maintenance management of the unmanned sweeper in a classified manner according to a preset grade.

The invention belongs to the technical field of transformer fault detection, and discloses a transformer fault diagnosis method and related device.The transformer fault diagnosis method comprises the steps that primary side power data and box surface vibration data of a to-be-diagnosed transformer are collected, and primary side data and vibration data are obtained; comparing the primary side data with a preset power data threshold value, and judging whether the primary side data is abnormal or not; if the abnormity judgment result of the primary side data is abnormal, outputting and obtaining an electrical operation state fault diagnosis result of the to-be-diagnosed transformer; if the abnormity judgment result of the primary side data is normal, performing feature extraction on the vibration data to obtain vibration feature data; inputting the vibration characteristic data into a pre-trained support vector machine model for fault diagnosis, and outputting a mechanical health state fault diagnosis result of the to-be-diagnosed transformer; according to the invention, through multi-dimensional data acquisition, a multi-level diagnosis process and an advanced data processing algorithm, accurate and rapid identification of the transformer fault is realized.

The invention discloses a multi-mode operation and maintenance data processing method and device, electronic equipment and a storage medium. The method comprises the following steps: in response to each task request initiated by front-end equipment, generating a task identifier of each task request, the task identifier being a globally unique user experience session identifier; obtaining task operation data of a plurality of modes associated with the task identifier of each task request, wherein the task operation data of each mode is correspondingly acquired from one data source; and with the task identifier of each task request as a main key, aggregating the task operation data of the multiple modals belonging to the same task identifier into the user interaction conversation object corresponding to the task identifier of each task request. According to the technical scheme, the problems of low operation and maintenance data utilization efficiency and low problem positioning efficiency in the prior art can be solved, the scientificity of operation and maintenance decision and the problem troubleshooting efficiency can be improved, and optimization and upgrading of a digital platform and improvement of service quality are promoted.

This invention discloses an automated terminal equipment operation status monitoring device and method, belonging to the field of power distribution automation equipment monitoring technology. The device consists of an MCU, a current signal acquisition module, a voltage signal acquisition module, a temperature acquisition module, an A / D converter module, a power supply module, an alarm module, a communication recording module, a data storage module, and a display module. Each module is electrically connected according to a preset configuration to form a complete monitoring architecture. Based on this device, the method sequentially executes the following steps: system initialization self-calibration, multi-source signal synchronous acquisition and preprocessing, fault judgment threshold dynamic correction, multi-dimensional feature fusion fault analysis, hierarchical linkage response and data partitioning storage, and cyclic monitoring. This invention improves the accuracy of fault detection and analysis, can quickly locate faults and respond hierarchically, significantly shortens repair time, effectively improves the operation and maintenance management capabilities of terminal equipment, and ensures the safety of power distribution networks and equipment.

The embodiment of the invention provides a fault diagnosis method and device of a shield tunneling machine, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring working condition data of the electrical control system of the shield tunneling machine, and classifying the working condition data to obtain multi-dimensional grouped data; performing keyword extraction on the multi-dimensional grouped data to generate keyword information; performing electrical principle analysis on the pre-imported schematic diagram of the shield tunneling machine to generate a structural topological diagram of the shield tunneling machine; searching a structure topological graph of the shield tunneling machine according to the keyword information, and generating a fault node list; comparing the target state data of the plurality of fault nodes in the fault node list with an initial state array of the shield tunneling machine to generate a fault diagnosis result; the fault source of the shield tunneling machine is displayed in a highlighted mode through the three-dimensional model according to the fault diagnosis result, and the fault elimination efficiency is improved.

The invention provides a method for detecting and positioning a large-current loop fault of a temporarily-arranged color board room on a construction site, and the method comprises the following steps: determining a fault type: determining the fault type, and carrying out the preprocessing; a range delimiting step of determining a laying path of a fault line and delimiting a scanning range of a fault area; a preliminary determination step: scanning the line in the scanning range, and preliminarily determining a fault position; and a determination step: detecting the fault position and determining a fault point. According to the method, through preprocessing, preliminary determination through scanning and final determination through detection, rapid and accurate identification of fault points can be realized, manual line disassembly is not needed, the detection time is saved, the troubleshooting efficiency is improved, and the operation safety can be ensured.

The embodiment of the invention relates to a PCIe (Peripheral Component Interconnect Express) equipment loss retry method. The method comprises the following steps: acquiring power supply fault state information of PCIe equipment; judging whether the power supply fault state information is warm start or not; if yes, the slot position of the PCIe equipment is scanned, and slot position state information is obtained; judging whether the slot position state information is first preset state information or not; and if yes, restarting the PCIe equipment. According to the method, the initialization success rate of the equipment can be optimized, and the robustness of the system is improved.

The invention discloses a complete machine production equipment information intelligent management and control method and system, and relates to the technical field of production test management and control. The method comprises a whole machine assembly process and a whole machine test verification process. An automatic cross-process information comparison and judgment function is added in an MES (Manufacturing Execution System), an obtained MAC (Media Access Control) code and a product SN (Serial Number) code are uploaded to the MES in a midstream complete machine test stage, and the system automatically calls upstream assembly reference data for cross-link comparison, so that a full-function closed loop of'automatic data acquisition-uploading-calling-comparison-result management and control 'in a complete machine production process is realized. According to the complete machine production equipment information intelligent management and control method and system provided by the invention, various pain points caused by traditional dependence on a manual mode are solved, and intelligent management and control of product information are realized.

The invention discloses a traffic field AI Agent agent based on consanguinity analysis and a fine-tuning large model, belongs to the cross technical field of artificial intelligence and traffic data processing, and adapts to traffic core business scenes such as online car-hailing operation and the like. The implementation path is as follows: collecting original table establishment data of traffic core business, implementing three-level standardization operation, and constructing a consanguinity knowledge graph containing association of business fields, core indexes and traffic scenes; vectorization coding of traffic semantic enhancement is carried out on the map, and a vector knowledge base is built; based on a Qwen3 and Transform fusion architecture, a vector knowledge base is used as a support, traffic industry specifications and the like are fused to construct a pre-training corpus, and after pre-training, a LoRA lightweight fine tuning strategy is used to adapt to traffic exclusive tasks to construct an interaction model Agent; and carrying out blood relationship analysis on traffic service data by means of Agent, and generating a structured diagnosis report containing service insight and decision suggestions. According to the method, the problem that the accuracy is insufficient when the existing AI Agent processes the business data in the traffic field is solved, the traffic data quality and the decision reliability are improved, and technical support is provided for traffic business data abnormity positioning and operation optimization.

The invention provides a circuit breaker with a thermal bimetal tripping linkage mechanism and a control method. Comprising a shell, a contact system, an operating mechanism, a locking mechanism, a thermal bimetallic strip overload protection mechanism, an electronic protection module, a mechanical linkage device and a state indicating device, the mechanical linkage device comprises an L-shaped driving lever capable of rotating around a rotating shaft, and the L-shaped driving lever is provided with a first driving arm and a second driving arm; the output end of the thermal bimetallic strip overload protection mechanism is operationally coupled with the first driving arm and is used for driving the first driving arm to enable the L-shaped shifting rod to rotate around the rotating shaft in a first direction during overload; the electronic protection module comprises an electromagnetic tripper, a movable ejector pin of the electromagnetic tripper is operatively coupled with the second driving arm, and the electromagnetic tripper is used for driving the second driving arm to enable the L-shaped shifting rod to rotate around the rotating shaft in a second direction opposite to the first direction during short circuit or electronic protection action; and the indicating piece displays different protection action type identifiers according to different rotation directions of the L-shaped driving lever.

The application discloses a kind of key efficient management methods based on national secret algorithm, it is related to information security and data storage technical field, including the following steps: step one, generating master key MK and storing in secure encryption hardware, using master key is encrypted by national secret algorithm and is transformed to obtain protection key PK1;Step two, administrator inputs protection password and the key ciphertext data needing storage, and uses SM3 algorithm to calculate the input protection password, obtains protection key PK2;Protection key and national secret algorithm are used to encrypt the key data, wherein, the generation mode of protection key PK1 is fixed and depends on master key and protection factor S, the generation mode of protection key PK2 is determined by the password input by administrator, the complete independent controllable of protection key and encryption algorithm is realized, at the same time, the storage of key and the access of key are operated in the form of ciphertext, greatly improve the security of key.

This disclosure relates to the field of rail transit, and more specifically, to a method, medium, device, and train control system for determining a train running a red light. The method includes: when a first signal is not open, acquiring the occupancy status of the section approaching the first signal; when the section approaching the first signal is occupied, determining, based on target information, that the first signal ran a red light during the current closed state; wherein the target information includes at least any one of the following: the turnout orientation of the section approaching the first signal, the locking status of the first section inside the first signal, the locking direction of the first section, and the turnout status of the first section.

The utility model discloses a kind of urea nozzle test cleaning trolley, by setting test cleaning component, including L-type support, urea nozzle and collection container, the working condition of urea nozzle is simulated on trolley, external cleaning agent, and then realize the effect of quickly cleaning urea nozzle, by repeatedly simulating urea nozzle work, observe the injection state of collection container inner wall, judge whether urea nozzle is cleaned successfully or whether it needs to be replaced.Compared with prior art, the utility model is integrated by low cost design, so that maintenance personnel can efficiently complete urea nozzle cleaning+test series of work, it is convenient for on-site operation, shorten the repair time, improve fault handling rate, reduce the cost of spare parts replacement.

The application provides a fault handling evaluation method and system for a combined anchor and tunneling machine based on operation data tracking, and relates to the technical field of fault handling. The method comprises the following steps: collecting an operation data sequence of the combined anchor and tunneling machine; identifying abnormal behavior characteristics based on a standard operation behavior model to generate abnormal behavior data; establishing an association rule between the abnormal behavior data and a fault event; monitoring and tracking the operation data sequence based on the association rule to obtain operation characteristics of fault handling process data; constructing a fault handling effect evaluation index based on the operation characteristics to obtain a fault handling quality evaluation result; performing grade determination on a fault handling effectiveness score of the fault handling evaluation result; and executing feedback-driven optimization and auxiliary decision-making. The application can solve the technical problem of lacking dynamic monitoring of the whole fault handling process in the prior art, realize dynamic monitoring and comprehensive evaluation of the fault handling process, and achieve the technical effect of improving fault handling efficiency.

The application provides a vehicle battery replacement method and device. The method comprises the following steps: detecting whether a target vehicle is in a battery replacement state; if yes, outputting a battery replacement state signal and a fault shielding signal; controlling the target vehicle to enter a battery replacement mode according to the battery replacement state signal, and shielding a fault signal according to the fault shielding signal. It can be seen that the method and device can shield the fault detection scheme, avoid triggering various fault signals, eliminate the possibility that the vehicle cannot run due to battery replacement, improve the problem troubleshooting efficiency, and thus help improve the user experience.

This application provides a method, apparatus, and vehicle network cloud platform for vehicle system performance testing. The method includes: acquiring raw performance data reported by the vehicle system; performing anomaly cleaning and trip segmentation on the raw performance data to obtain performance time-series data corresponding to each trip; performing trend analysis based on the performance time-series data to obtain trend information corresponding to the performance time-series data; and determining the performance testing result based on the trend information corresponding to the performance time-series data. This method aims to improve the timeliness of performance anomaly detection.

The invention provides a photovoltaic string monitoring and diagnosing system and method based on a state machine, and relates to the field of photovoltaic power generation operation and maintenance. The method comprises the following steps: acquiring real-time electrical parameters of each photovoltaic string, and uploading the real-time electrical parameters to a cloud analysis platform; and constructing a state machine model in which a plurality of mutually exclusive operation states are pre-defined for each photovoltaic string. And operating the low-frequency recognition engine to perform pattern recognition, and generating a first diagnosis result containing the physical access state and the long-term performance state of the string. And operating the high-frequency diagnosis engine to carry out trend analysis and correlation comparison, and generating a second diagnosis result containing transient faults and short-time anomalies of the string. And judging a preset judgment condition for conversion among the operation states, and driving the current state of the string to be migrated and updated to the target state. And monitoring a state updating event of the state machine model, and automatically generating multi-dimensional alarm information when the state of the string is transited from a non-abnormal state to an abnormal state. The technical problems of poor data collaboration and incomplete fault diagnosis coverage are solved.

This application relates to a cable testing method, apparatus, computer equipment, storage medium, and computer program product. The method includes: acquiring a cable path diagram of a data exchange device and a diagnostic terminal; matching at least two diagnostic terminals through the data exchange device to obtain a first matching result; controlling one diagnostic terminal in the first matching result to send first test data to the other diagnostic terminal to obtain a first test result; if the first test result indicates a cable abnormality, then re-selecting a diagnostic terminal from other diagnostic terminals besides the first matching result for matching to obtain a second matching result; controlling one diagnostic terminal in the second matching result to send second test data to the other diagnostic terminal to obtain a second test result; and determining the abnormal location information of the cable based on the first and second test results. This method, by obtaining the abnormal location information of the cable based on the first and second test results, improves the efficiency of fault diagnosis.

The utility model discloses an intelligent weak current control cabinet and air washing machine system relates to the technical field of control cabinet, aims at solving the current control cabinet in the layout of the line after bundling is more disorderly, is not favorable to the quick troubleshooting, has greatly increased the technical problem of maintenance difficulty and maintenance cost, including control cabinet body and wiring frame that sets up in control cabinet body, be provided with mounting panel in control cabinet body, wiring frame includes fixed plate, the front end symmetry of fixed plate is provided with second wiring ring and first wiring ring, the side end equidistance of fixed plate is provided with mounting rod, the front end equidistance of mounting rod is provided with connecting rod, the end of connecting rod is provided with wiring ring. The utility model has realized the layering arrangement of line regulation, has greatly promoted troubleshooting efficiency, simultaneously, the wiring ring design of innovation increases the line layout amount, significantly improves work efficiency, effectively reduces the advantages such as maintenance difficulty and cost.

This invention proposes a method, system, device, and medium for detecting the installation status of a CPU heatsink module. The method includes: detecting whether the pin impedance of each CPU on the motherboard is abnormal using a CPLD; if an abnormality is found, immediately shutting off the main power supply to the motherboard; activating a CPU heatsink module abnormality alert mechanism; and marking the pins with abnormal impedance using the CPLD. This invention determines whether the heatsink module is improperly installed by detecting whether the pin impedance of each CPU on the motherboard is abnormal. Upon confirming an abnormality, it provides an abnormality alert and an abnormality marker, ensuring that operators can promptly troubleshoot the problem, thereby improving troubleshooting efficiency.