32results about How to "Reduce fault repair time" patented technology

The invention discloses a polling passive optical network optical layer detection device and method based on optical pre-coding. The device comprises three major modules including a detection pulse pre-coding module, a link fault recognition module and a decoder module, wherein the detection pulse pre-coding module and the link fault recognition module are connected with an OLT (optical line terminal) device and a feed-in optical fiber through an optical circulator and a wavelength division multiplexer, and the feed-in optical fiber is connected with each distributive optical fiber through an optical branching device positioned at a remote end node, and is connected with each user end through different decoders at the tail end of each distributive optical fiber. The device and the method have the advantages that pre-coding detection pulse signals are used, a polling mode is adopted, and the fault monitoring only aims at the optical fiber link of one target user in one time. The length of the monitored branch link is known, a detection time window is reduced to a very small time window, the code word coherent distance is reduced, and the accuracy of a monitoring system is improved.

The invention discloses an intelligent campus network operation and maintenance system. The intelligent campus network operation and maintenance system is mainly based on application layer monitoring. The intelligent campus network operation and maintenance system comprises a management module, a monitoring module, an operation and maintenance knowledge base module, a fault reporting module, a user terminal and an evaluation module; wherein the monitoring module, the operation and maintenance knowledge base module, the fault reporting module and the evaluation module are all connected with the management module; and the user terminal is in communication connection with the management module. The invention provides an intelligent campus network operation and maintenance system. By means of the intelligent campus network operation and maintenance system, the elements such as the operation and maintenance personnel, the network devices and the fault repair in the operation and maintenance process of the network are managed and deployed comprehensively combined with the corresponding monitoring function, therefore, the network faults can be troubleshot as fast as possible, the repair time of the fault can be shortened, the availability of the campus network can be furthest guaranteed.

The invention discloses a recipe function module integrating product batch operation, monitoring and maintenance. The recipe function module comprises a UWinBatch, a BatchSvr and a BatchCtlWin, wherein the UWinBatch controls the BatchSvr in real time, the BatchSvr controls the BatchCtlWin, the BatchCtlWin monitors operating information of the BatchSvr, the UWinBatch is embodied as recipe production and management in the aspect of control, the BatchSvr is embodied as production planning and scheduling, process management, equipment monitoring, process control and personnel and environmental protection in the aspect of control, and the BatchCtlWin is embodied as production information management in the aspect of control. The recipe function module is connected with a database of a control station through scripts, the database of the control station is used for controlling a distributed control system DCS, the recipe function module is used for defining control codes in the distributed control system DCS, and disintegrating the distributed control system DCS into smaller control modules, thereby being more conductive to modifying recipes.

The invention discloses a fault detection device, which comprises a temperature detection unit, a pressure detection unit, a transformer detection unit, a controller detection unit and a test data injection unit, wherein the temperature detection unit is used for detecting whether the output data of a temperature sensor is within the allowable deviation range of the preset temperature output data; the pressure detection unit is used for detecting whether the output data of a pressure sensor is within the allowable deviation range of the preset pressure output data; the transformer detection unit is used for detecting whether the output data of a transformer is within the allowable deviation range of the preset voltage output data; the controller detection unit is used for detecting whether the output data of a controller is matched with the preset logic data; the test data injection unit is used for respectively inputting temperature test data, pressure test data, voltage test data and logic test data to the temperature sensor, the pressure sensor, the transformer and the controller. According to the fault detection device disclosed by the invention, each part of a compressor is respectively detected so as to quickly determine the component of the compressor, which fails.

The invention belongs to the technical field of logistics transportation, and relates to a logistics automatic sorting remote diagnosis system. The logistics automatic sorting remote diagnosis systemcomprises a sorting line used for sorting and wrapping, and the sorting line comprises a plurality of belt-type conveyors for conveying trolleys. The sorting line is characterized in that the sortingline further comprises photoelectric baffles, a plurality of feeding tables, a plurality of discharging ports and a code reader, the photoelectric baffles are located on the track of a feeding port, the feeding tables are positioned at the feeding port and used for feeding materials, and the code reader is located between the feeding port and the discharging ports and used for reading bar codes onan express item, photoelectric switches are arranged in front of the trolleys, the photoelectric switches can be in contact with the photoelectric baffles and can be triggered, the photoelectric switches, the feeding tables, the trolleys and the code reader are in signal connection with a control platform, the control platform is in signal connection with a plurality of lattice point servers, andthe lattice point serves are in signal connection with a headquarter server. The diagnosis system can accurately track in real time, can ensure accurate operation of the system, and can find the reasons of faults by analyzing the abnormity.

The present invention discloses an EHV line protection method with the integration with a traveling wave ranging function. The method is characterized in that a traveling wave CPU is added to an existing EHV line protection device, a current transformer is used to measure current traveling wave, and a traveling wave CPU is used to collect failed traveling wave data to carrying out traveling wave ranging. The traveling wave CPU comprises a traveling wave MCU, and a high speed data collection circuit. The traveling wave CPU is connected to the high speed data collection circuit. The high speed data collection circuit is used for recording the failed traveling wave data. The traveling wave CPU is used for analyzing and processing the failed traveling wave data from the high speed data collection circuit. According to the method, the functions of traveling wave ranging and line protection are fused in one body and are integrated into the EHV line protection device, substation resource allocation is greatly optimized, and the economic efficiency of substation investment is improved.

The invention discloses a redundant fault-tolerant technology applied to an FPGA (Field Programmable Gate Array) digital circuit. The concept of a digital circuit reconfigurable technology is applied to fault tolerance of an FPGA logical resource circuit fault so as to improve the reliability of system operation. Switching of a logical function for a digital circuit reconfigurable region A is realized through dynamic loading of a circuit bit stream data configuration file A1.bit or A2.bit.

The invention discloses a control system for curing forming of a bent portion of a stator coil of a large-capacity air-cooled generator. The control system for curing forming of the bent portion of the stator coil of the large-capacity air-cooled generator comprises a master station control system, a heating and curing temperature control driving system, a temperature control system, a heater line breakage detection system, an industrial monitoring system and a mechanical electrical substation. According to the control system for curing forming of the bent portion of the stator coil of the large-capacity air-cooled generator, a master station controller is adopted, all control is automatically completed through the master station controller, manual intervention is not needed, control over heating, curing forming is achieved fully automatically, the labor is liberated greatly; temperature compensation is achieved by each temperature sensor through a standard thermal resistance temperature compensation instrument, and the accuracy of the temperature is improved; due to the fact each sensor is in zero-distance contract with the coil, heating precision is improved; the side which a heating plate coil leans against is integrally flat through full-screw-thread fit; on the whole, the quality of the coil is improved; due to the fact that the closed-loop PID algorithm is adopted, the temperature control precision can be improved, overshoot can be reduced, and the curing quality of the coil is improved remarkably.

The invention discloses an SEU fault tolerance design applied to an FPGA. An idea of a reconfigurable technology is used for SEU fault tolerance in the FPGA to improve the operation reliability of a system. Switching of a logic function is achieved by a reconfigurable region A through dynamically loading a configuration file A1.bit or A2.bit.

An overall architecture design method for an intelligent comprehensive operation and maintenance system relates to the technical field of intelligent synthesis, adopts an integrated hardware architecture design, takes an onboard computer as a core, takes each subsystem of a detector as a whole, overall plans and distributes resources, and combines lower computers in the design of the detector into functional modules of a single machine. A private cloud platform is constructed by using a hyper-convergence technology, and calculation, storage, network and security resources and management components are all fused into a server. According to the invention, through comprehensive management and deployment of elements such as operation and maintenance personnel, network equipment and fault repair in the network operation and maintenance process, in combination with corresponding monitoring functions, network faults can be checked at the highest speed, monitored accidents and dangerous cases are processed, the fault repair time is effectively shortened, and the network operation and maintenance efficiency is improved. Meanwhile, the operation and maintenance personnel can timely discover and quickly position the fault of the campus network at the terminal management office, so that the operation and maintenance personnel can timely process the fault, and the normal operation of the operation and maintenance system is ensured.

The invention discloses a fault positioning method and device for a business board card; the method comprises the steps: monitoring whether the business board card enters another operation stage from a current operation stage or not after power-on; if it is monitored that the own service board card enters the other operation stage from the current operation stage, writing first identification information corresponding to the other operation stage into a first set memory included in the own service board card, After monitoring that the management board card cannot establish communication connection with the own service board card within a set duration, acquiring, by the management board card, the first identification information in the first set memory, and determining an operation stage corresponding to the first identification information according to a first corresponding relationship between the identification information and the operation stage, thereby obtaining the fault operation stage of the self service board card. According to the scheme, the fault of the service board card can be positioned.

The invention discloses a support vector machine power fault classification method based on multi-feature fuzzification processing. The method comprises a training step and a classification step. The training step comprises: collecting a sample characteristic signal characterizing a power equipment fault, and carrying out step membership function fuzzification processing to obtain fuzzified sample characteristic values; performing dimensionality reduction processing on the fuzzified sample characteristic values to reduce the quantity of the sample characteristic values; and constructing a support vector machine, optimizing parameters of the support vector machine by using a chaos optimization algorithm, and inputting the sample characteristic values into the support vector machine, wherein the output of the support vector machine is the type of the power equipment fault. The classification step comprises: collecting an actually measured characteristic signal of the power equipment and carrying out step membership function fuzzification processing to obtain fuzzified actually measured characteristic values; performing dimensionality reduction processing on the fuzzified actually measured characteristic values, and inputting the actually-measured characteristic values into a support vector machine, wherein the output of the support vector machine is the type of the power equipment fault.

The invention discloses a local area network remote monitoring system based on an SIEMENS 840D numerical control system. The local area network remote monitoring system is composed of a hardware partand a software part. The hardware part comprises a monitoring center and a plurality of independent local area networks connected with the monitoring center, and each local area network comprises a plurality of devices adopting the SIEMENS 840D numerical control system and connected by network equipment and a special server; the software part is remote monitoring software; and the monitoring center accesses the host of each device adopting the SIEMENS 840D numerical control system by accessing the special server, remotely monitors the device, checks device fault and related information, and diagnoses and preprocesses the fault. According to the invention, the fault processing efficiency is improved, the fault repair time is shortened, the equipment shutdown rate is reduced, and the workingefficiency of equipment maintenance personnel is greatly improved.

The invention relates to the technical field of artificial intelligence, and discloses a self-healing scheme determination method and device based on artificial intelligence, equipment and a medium, and the method comprises the steps: obtaining target alarm data and target alarm associated data corresponding to the target alarm data; performing target common label vector generation on the target alarm data and the target alarm associated data; performing target personalized label vector generation on the target alarm data and the target alarm associated data; and according to the target common label vector and the target personalized label vector, performing self-healing scheme screening from a preset label and a self-healing scheme library to obtain a target self-healing scheme. Therefore, self-healing scheme screening based on the generality and personality of the alarm data and the alarm associated data is realized, the screened self-healing scheme is suitable for a complex and multi-link scene, the self-healing effect is improved, the dependence on manpower is reduced, and the fault repair time is shortened.

The invention discloses a radial plunger pump amplification plate debugging zero drift suppression method, which comprises the following steps: analyzing the display condition of a display lamp on a panel of an amplification plate of a main pump, and determining an alarm fault reason; the servo valve of the main pump and the mechanical zero point position of the main pump are detected through port communication of the amplification plate; and comparing the measurement data with the standard zero data, calculating a deviation value between the detection data and the standard zero data, and performing zero deviation correction according to the deviation value. By correcting the mechanical zero position and the electrical zero position of the equipment, zero position drift of the mechanical zero position and the electrical zero position is solved, the accurate corresponding relation between the mechanical zero position and the electrical zero position is recovered and kept, and accurate control over the main pump is achieved.

The invention relates to the field of vehicle braking systems, and discloses a three-cavity spring braking gas chamber. The three-cavity spring braking gas chamber comprises a cylinder body, a connecting base and a fixing base. A spring cavity is formed in the cylinder body. A membrane cavity is formed between the connecting base and the fixing base. A relief piston is further connected with the interior of the cylinder body in a sliding mode, and a remote control forced relief cavity is formed between the relief piston and the connecting base. A communicating opening which is used for communicating with the external gas is formed in the connecting base. By the adoption of the scheme, the forced relief can be relatively conveniently achieved, and the parking braking operation can also be normally applied after the forced relief is accomplished.