170results about How to "Improve operation and maintenance level" patented technology

The invention provides an operation management method of an electric power system cloud simulation platform. The electric power system cloud simulation platform comprises a cloud simulation resource management system and a cloud simulation application supporting system. The method comprises the following steps that the cloud simulation resource management system is constructed; the cloud simulation application supporting system is constructed; the safety of the electric power system cloud simulation platform is determined; operation management of the electric power system cloud simulation platform is carried out. Cloud simulation analytical calculation application is achieved, multiple users can carry out currents, transient stability, small interference, short-circuit currents and other simulation calculation functions on one or more sets of data according to the permission in the mode of facing network services, and the limitation that services and data of standalone version software cannot be shared in large-scale interconnected power grid analytical calculation is eliminated.

The invention relates to an electric power system mass data management system and a use method thereof. The system comprises a simulation data distributed storage subsystem and a mass simulation data processing subsystem. The simulation data distributed storage subsystem stores data in a plurality of independent interconnecting devices in a dispersed manner, adopts a clustering mode and includes a metadata server master and a file server. The mass simulation data processing subsystem distributes the data onto different database servers through segmentation rules, accesses a specific database in a routing manner through routing rules and comprises a data access layer, a data management layer and a data storage layer. The method includes a simulation data distributed storage subsystem data processing method and a mass simulation data processing subsystem processing method.

The invention provides a photovoltaic power generation system performance evaluation method and device which are applied to the technical field of electronics. The method includes the steps of obtaining running data and meteorological data of a photovoltaic power generation system; calculating the function relation between theoretical output power of the photovoltaic power generation system and solar irradiance under a set reference temperature condition; obtaining the corresponding relation among actual output power of the photovoltaic power generation system, the temperature of a photovoltaic assembly and the solar irradiance; converting the actual output power to the power under the set reference temperature condition, and obtaining reference actual output power; determining the corresponding relation between the reference actual output power and the solar irradiance; drawing a curve of the theoretical output power; drawing a scatter diagram of the reference actual output power; evaluating performance of the photovoltaic power generation system. By means of the method and the device, a maintenance plan is made as required, the running and maintenance level of the photovoltaic power generation system is optimized, and life-cycle maintenance cost of the device is reduced.

The invention discloses an auxiliary decision-making method for the equipment state maintenance of information systems. The auxiliary decision-making method comprises the following steps: S1, establishing an auxiliary decision-making platform for the equipment state maintenance of an information system, and acquiring state parameters and operating parameters, which are relevant to state maintenance; S2, establishing a two-dimensional relational model of system evaluation indexes, and setting a maintenance timing sequence and maintenance grades; S3, establishing a two-dimensional relational model of time and failure omens, and setting a forewarning threshold and an alarm threshold in the model; S4, obtaining a historical change curve, comparing the historical change curve with the current parameters of the information system so as to judge the state of the current information system, and bringing the judged result into the step S2 so as to obtain a maintenance conclusion. The auxiliary decision-making method disclosed by the invention is used for diagnosing the states of the systems. According to the invention, the system state maintenance aid is realized through rules, models, algorithms and reasoning. The implementation of the method is help to improve the system maintenance level, improve the system availability, reduce the production cost, and improve the economic profits of enterprises.

The invention discloses an on-line diagnosing method for faults of a metering production facility. The method comprises the following steps that firstly, centralized monitoring data are collected; secondly, a diagnosing expert base (training sample) is established; thirdly, a fault prediction model based on an artificial neural network is established; fourthly, on-line diagnosis is carried out on the faults of the metering production facility. All of hardware production units of the metering production facility are provided with alarming equipment, however, when the faults actually occur, production is usually already influenced, and the alarming equipment does not send alarms aiming at production anomalies and some equipment faults. An on-line diagnosing system for the metering production facility constantly analyzes 'four-line-one-storeroom' system running data, a current system running state is judged, the faults are predicted, when the production anomalies or the equipment faults are predicted, staff can solve the problems in time, threats which might influence the production are eliminated, and the reliability of the metering production facility is greatly improved.

The invention relates to a computer application method in the field of electrical automation and a system using the computer application method, in particular to a power grid dispatching automation main-and-standby system model synchronizing method and a synchronizing system using the power grid dispatching automation main-and-standby system model synchronizing method. A centralized cloud standby dispatching center is built, and whole power grid model united storage of graphs real-time data sections corresponding to a physical network model, a power grid calculation model and a power grid model is achieved. Any model maintenance operation of the cloud standby dispatching center is carried out through a standby dispatching maintenance center, region dispatching centers maintain static models in the jurisdiction scopes of the region dispatching centers respectively, the formed whole power grid model united storage ensures uniqueness of whole power grid models, and a unified model sharing access service mechanism is provided. The models of the region dispatching centers exist in the mode of views of full models, and are in self synchronization, so that service systems of the dispatching center can have access to the whole power grid models through standard and unified data access interfaces.

The invention, which belongs to the field of electrical equipment safety assessment, particular relates to an oil-paper insulation aging diagnosis method based on an insulating oil Raman spectrum wavelet packet energy entropy. According to the method, an insulating oil Raman spectrum wavelet packet energy entropy is used as an aging characteristic quantity; an aging diagnosis model that is obtained by combining a Kennard-Stone algorithm, multi-class support vector machine construction, optimization based on a genetic algorithm is used to realize an overall aging state diagnosis of field oil-paper insulating equipment rapidly and effectively. Therefore, a quantitative analysis of dissolve aging characteristic concentration in a certain kind of oil is not needed and the fault-tolerant performance is good. The method has the good growth. An oil-paper insulating sample obtained in the field operating transformer can be used for expanding a sample base of the diagnosis model in work in future, so that the diagnosis model can be improved and corrected continuously and thus the operation and maintenance level of the oil-paper insulation equipment can be improved.

The invention discloses a real-time and online method for lossless and precise measurement of storage batteries. The invention uses a low frequency and alternating signal generator to infuse the storage battery with low frequency and alternating signal, thus measuring the low frequency and alternating voltage at both ends of the storage battery, the low frequency and alternating electric current through the storage battery, and the phase difference between both ends. The invention achieves reliable real-time and online monitoring, provides rich and timely operating data to people who maintain the service of storage batteries, and greatly improves the maintenance level of the service of storage batteries, and the invention is markedly characterized by reliable data acquisition and precise detection of the essential resistance of storage batteries.

The invention belongs to the technical field of operation and maintenance in a virtual computing environment, and particularly relates to an automatic resource adjusting method on the basis of operation and maintenance rules of a virtual device. The automatic resource adjusting method includes: (1) setting a virtual computing environment; (2) deploying a virtual resource adjusting engine; (3) deploying agent software of a virtual machine; (4) deploying communication software of a physical host; (5) describing the operation and maintenance rules of the virtual device; (6) editing the operation and maintenance rules when the virtual device is generated; (7) deploying the virtual device into the virtual computing environment and starting an operation and maintenance program; (8) adjusting resources of the virtual machine and notifying a system administrator. A technical scheme of the automatic resource adjusting method includes that an online dynamic resource adjusting technology for the virtual machine is adopted on the basis of the operation and maintenance rules of the virtual device, and in the operating process of the virtual machine, resource distribution of the virtual machine can be automatically adjusted according to a loading state of the virtual machine. On one hand, resource utilization rate is increased, and on the other hand, normality and stability of operation of a business system are guaranteed, and operation and maintenance levels are improved.

The present invention discloses a four-line one-storehouse spare part inventory prediction system which comprises a data acquisition module, a data analysis processing module, a fault online diagnosis module, an inventory prediction module and a model correction module, wherein the model correction module is respectively and bidirectionally connected with the fault online diagnosis module and the inventory prediction module; the fault online diagnosis module is also connected with an early warning and alarming module; and the early warning and alarming module is connected with a fault processing knowledge base. The present invention also discloses an establishing method of the four-line one-storehouse spare part inventory prediction system, which comprises: establishing a four-line one-storehouse system fault online diagnosis module carrying out extraction and analysis on fault diagnosis information; establishing a spare part inventory prediction model; and correcting the spare part inventory prediction model. According to the present invention, not only can fault online diagnosis be carried out on production equipment and reliability of production facilities and the operation and maintenance level of a measurement center are improved, but also an inventory of spare parts can be minimized when the production requirements are met.

The invention discloses a power distribution network operation online analysis and evaluation system. The power distribution network operation online analysis and evaluation system comprises an online collection unit, a comprehensive evaluation unit and a data application unit, wherein the online collection unit comprises an evaluation data preprocessing module and a plurality of data acquisition interfaces; a data processing result of the evaluation data preprocessing module is sent into the comprehensive evaluation unit; the comprehensive evaluation unit is combined with an evaluation system base and an evaluation rule provided by an evaluation rule base, and a comprehensive evaluation result is output to the data application unit after the calculation; and the data application unit comprises an evaluation reporting module and a comprehensive exhibition module and is used for outputting the comprehensive evaluation result of the operation of a power distribution network to the outside. With the adoption of the power distribution network operation online analysis and evaluation system, defects and deviation in operation and maintenance processes of the power distribution network can be found, and necessary technical measures are adopted to solve the problems in time, so that the operation and maintenance level of a power distribution automatic system is effectively improved.

The invention discloses a system for operating and maintaining a power distribution room of an electric power user. The system includes a field device which includes a field sensing instrument for acquiring one or more of an electrical parameter, a switching state parameter, an environmental parameter, and a safety parameter of the power distribution room of the user, and a data collector connected to the field sensing instrument, the data collector having a processing function for alarming information; a cloud platform communicatively connected with the data collector; and a user terminal communicatively connected with the cloud platform and capable of wireless communication with the data collector. The power distribution room operation and maintenance system of the invention enables a user to carry out comprehensive real-time monitoring on the operation state of the power distribution room, improves the reliability of alarm information, enables the user or offline operation and maintenance personnel to interact with the platform in time, makes up for the defect of internet of things monitoring, and greatly improves the operation and maintenance level and operation and maintenanceefficiency of the power distribution room.

The invention relates to a self-adaptive detection method for abnormal wind turbine output power. The method includes collecting wind turbine output powers corresponding to different wind speeds in the initial operating period of a wind turbine in fine operating state, allowing the wind turbine output powers to serve as standard sample data, and establishing a standard sample database; adopting a Shepard interpolation method, and establishing a wind turbine output power standard model on the basis of wind speed information; substituting wind speed data of the wind turbine in monitoring state into the wind turbine output power standard model, calculating a standard value of the wind turbine output power in current wind speed, and calculating the power deviation of the wind turbine output power in the current wind speed according to the standard value and a practically-measured valve of the wind turbine output power; comparing the power deviation with a preset power deviation threshold, if the power deviation is larger than the preset power deviation threshold, determining the wind turbine output power is abnormal, and warning. The method can be widely applied to early warning of the wind turbine output power.

The invention discloses an intelligent monitoring system for a high-voltage power transmission line. The monitoring system comprises two or more cross arms arranged at the top end of an electric powertower at equal intervals. The two adjacent cross arms are provided with a power transmission line monitoring terminal used for monitoring a power transmission line and a multi-rotor unmanned aerial vehicle, and a remote monitoring terminal which is in communication connection with the power transmission line monitoring terminal and the multi-rotor unmanned aerial vehicle; a UWB guiding module isarranged on the power transmission line monitoring terminal, and a high-definition camera is arranged below the multi-rotor unmanned aerial vehicle. The invention also discloses a monitoring method ofthe system, and the method comprises the following steps: setting a measuring point of the power transmission line on the power tower, monitoring the measuring point of the power transmission line inreal time, inspecting the periphery of the measuring point, and sending real-time monitoring information and inspection monitoring information for processing and analysis so as to determine an abnormal fault. According to the invention, through on-line monitoring and inspection and comprehensive summarization of monitoring information and inspection information, the real-time monitoring is realized, and the maintenance measures can be conveniently and integrally formulated.

The invention discloses an intelligent transformer substation process layer network communication fault locating method based on a list of proof. The intelligent transformer substation process layer network communication fault locating method includes analyzing an SCD file to acquire physical port information, virtual terminal information and communication link alarm information of an equipment process layer, acquiring physical communication links corresponding to logical communication links of the equipment process layer through a topology search algorithm, integrating the logical communication links with the corresponding physical communication links to generate the list of proof of process layer communication faults, writing logical communication link alarm values into the list of proof of process layer communication faults to complete the fault proof process, counting values of proof of physical fault nodes and taking the physical fault node with the maximum value of proof as a fault locating result. According to one-to-one correspondence relation between the physical communication link fault nodes and the logical communication links of the equipment process layer, the fault nodes are proofed through fault-less communication links and the fault communication links, so that the node which is most possible to be in fault is located to facilitate improvement of intelligent transformer substation network running maintenance level.

The invention discloses a transformer substation equipment state intelligent identification system based on machine vision. The system comprises an intelligent inspection monitoring platform, a videoserver, an intelligent image recognition server and a monitoring terminal; the intelligent inspection monitoring platform is in communication connection with the intelligent image recognition server and the video server. The monitoring terminal is connected to the video server. The substation equipment state intelligent identification system is connected with the SCADA system through the forward isolation device and the reverse isolation device. The intelligent inspection monitoring platform is used for monitoring and managing inspection videos, wherein the intelligent image recognition serveris used for carrying out image recognition on the on-off state of the transformer substation equipment and outputting a recognition result, the video server is used for controlling the video monitoring terminal and caching videos and images collected by the video monitoring terminal, and the video monitoring terminal is used for collecting videos and images of the transformer substation equipment. According to the invention, the inspection efficiency and quality are improved, the personal safety is ensured, and the operation and maintenance level of substation equipment is improved.

The invention relates to a distributed photovoltaic system efficiency evaluation method and device based on cloud data analysis. The method comprises the steps: establishing a comprehensive evaluationindex system with the natural resource index, the electric quantity, the energy consumption, the equipment operation level and the economic benefit as the indexes and calculating the indexes; obtaining the index data to form an evaluation judgment matrix; determining the index weight by using the comprehensive objective weight method; and calculating the evaluation value of the photovoltaic powerstation operation characteristics according to the weight and performing performance analysis of the photovoltaic system through comprehensive evaluation of the single index and multiple indexes fromdifferent time scales and spatial scales. The device comprises an index calculation module, a standardized processing module, an objective weight calculation module and an evaluation value calculation module. The evaluation result can be used for analyzing the potential safety hazards of photovoltaic modules and other components as well as the actual impact on power generation of the power station and giving suggestions to improve the efficiency of photovoltaic power generation.

The invention provides an electronic transformer with a self-calibration function. The electronic transformer comprises a sensing head, a signal processing unit, a merging unit, a standard direct current power supply, a multipath switch, a control unit and a calibration module. A standard direct current voltage source is used for outputting a standard signal with a known amplitude and a phase under a calibration mode. The multipath switch is used for switching between the sensing head and the standard direct current voltage source. The control unit is used for making the multipath switch be switched to a standard direct current voltage source side. The calibration module is used for comparing a standard-source detected value calculated and acquired by the merging unit to a standard-source theoretical value so as to acquire a ratio difference and an angle difference of the electronic transformer. The self-calibration function of the electronic transformer is realized and / or whether an acquisition circuit in the signal processing unit works normally is determined.

The invention discloses a cloud platform-based automatic infrastructure management system of a data center. The system comprises a plurality of cabinets, a cloud platform-based background server and APP client software, wherein the cabinets are all wirelessly connected with the background server; the background server is wirelessly connected with the APP client software; the background server is used for multi-point centralized monitoring control management; the APP client software is used for monitoring a running pre-warning state; and each cabinet internally comprises an intelligent control module, a data acquisition module and a power distribution management module. The system is composed of the plurality of cabinets, the background server and the multiple pieces of APP client software; energy resources, assets and physical links of equipment of the data center are managed, and remote security access and health states are diagnosed; and infrastructures and IT equipment of the data center are monitored and controlled in real time, the performances and states of modification, faults, health, assets and the like of the equipment are dynamically displayed, the data center is assisted to improve the energy efficiency, the operation and maintenance level is improved, fault resources are reduced, and the operation and maintenance cost is reduced.

The invention relates to a plant growth precision control method based on a production base. The plant growth precision control method comprises the steps of: 1, carrying out monitoring and photographing on a plant, acquiring plant images, and recognizing a current growth stage of the plant according to image recognition processing; 2, performing spectral analysis on the shot plant pictures, determining growth characteristics of the plant, wherein the growth characteristics comprise a coupling relation between canopy leaves of the plant and nutrient elements; 3, collecting environmental factors in a planting region, and determining the environmental factors correspondingly matched with each growth stage of the plant according to the environmental factors; and 4, forming growth environmentfactors according to the current growth stage of the plant in combination with the growth characteristics and the environment factors, matching a growth management and control model corresponding to the growth stage according to the growth environment factors, and controlling and adjusting the growth environment factors of the plant according to the growth control model. According to the plant growth precision control method, the plant production operation and maintenance level is improved, the personnel labor is reduced, the labor cost is reduced, and factory planting of plants is realized.

The invention discloses a distributed solar power generation system monitoring and remote diagnosis SaaS platform. The distributed solar power generation system monitoring and remote diagnosis SaaS platform comprises a data acquisition module, a data transmission module, an operation and maintenance database and an operation and maintenance management module; each independently distributed photovoltaic system is provided with the data acquisition module; the data acquisition module is used for acquiring monitoring data of the distributed photovoltaic system; the data transmission module is connected with the data acquisition module, and used for uploading the monitoring data to a network server; the operation and maintenance database is connected with the network server, and used for storing the monitoring data; the operation and maintenance management module is connected with the operation and maintenance database, and used for judging and analyzing the monitoring data; and, if the set of monitoring data has a problem or a potential safety hazard, a corresponding solution is provided. By means of the distributed solar power generation system monitoring and remote diagnosis SaaS platform disclosed by the invention, the operation and maintenance level of a small distributed power station and a power generation system can be effectively increased; and power generating benefits of small micro-photovoltaic users can be ensured.

The invention relates to a fully automatic intelligent inspection robot. The first fixed plate and the connecting plate are connected through a connecting frame, the connecting plate and the fixed platform of the collecting end are connected through the connecting frame, and the driving motor and the first bearing seat assembly are fixed on the first fixed plate. The second bearing seat assembly is fixed on the upper end of the connecting plate and is located directly above the first bearing seat assembly, and the attitude controller is fixed on the upper end of the connecting plate to control the lifting of the upper image acquisition end and the lifting device; the lifting slide rail is vertically arranged Between the first fixed plate and the connecting plate, the two ends of the loop belt are respectively installed on the pulleys of the first bearing seat assembly and the second bearing seat assembly, the output shaft of the driving motor is connected with the pulley, and the output shaft of the driving motor The shaft is connected with the first bearing block assembly through the connecting shaft. The invention can transmit the working status of the equipment in the power control room to the control center to collect information in real time, effectively improves the ability to discover hidden dangers of the equipment, and ensures the safe, reliable and efficient operation of the power equipment in the machine room.

The invention relates to a control system for a full-intelligent inspection robot for an electric system machine room. The robot is used for collecting operation instruction status data of all equipment inside an electricity control machine room, the data are transmitted to a remote monitoring terminal for being analyzed, and therefore the equipment inside the automatic electricity control machine room can be monitored in real time. The control system comprises an image collection unit collecting data of the operation status of all the equipment and transmitting the data to a data master control unit, a walking stability control unit realizing the optimal collection posture through adjustment by a drive control unit, the drive control unit realizing the requirement of collecting information by adjusting and controlling the walking track, the data master control unit transmitting the received data to the remote monitoring terminal after the data are analyzed and a power management unit monitoring and managing the status of rechargeable batteries. According to the control system, internal environment data of the machine room can be monitored in real time, and therefore the ability to find hidden trouble of the equipment is effectively improved, and safe, reliable and efficient operation of the equipment is guaranteed.

The invention provides a centralized configuration and remote monitoring system for a network communication device in a substation. The system performs centralized configuration and remote monitoring of the network communication device in the substation. The system is characterized by comprising a remote control communication module, an agent module, a protocol module and a communication terminal module in communication connection sequentially; the agent module, the protocol module and the communication terminal module are arranged in the substation; and the communication terminal module is connected to the network communication device. Management control information of the network communication device is transmitted in an out-of-band monitoring management mode by adopting optical fibre, visible light, wireless and power line carrier communication technology manners; a monitoring signal transmission channel of the network communication device is constructed economically, flexibly and effectively; the centralized configuration, remote monitoring and control problems of the network communication device in the substation can be solved; the reliability and the operation and maintenance level of substation equipment can be improved; and automatic and intelligent operation management requirements of the substation can be satisfied.

The invention provides a power fault intelligent analysis and inversion system and method, and the method comprises the steps: carrying out the ordered arrangement and graphic display of fault information on a time axis; restoring the information of the whole fault system; enabling a file generation module to form a CFG file, a DAT file, a DMF file and an HDR file through the restored information, thereby forming a COMTRADE file, wherein the file generation module, a fault intelligent analysis module, an accident reversion module, a fault positioning module, a time sequence logic module and a man-machine interaction module are connected sequentially; sequentially carrying out the fault intelligent analysis, accident reversion, fault positioning and time sequence editing according to the files generated by the file generation module; and transmitting a fault diagnosis result to an operator through the man-machine interaction module. Therefore, the method solves problems that the relay protection fault analysis data is scattered in different and relatively independent systems and there is currently no complete system for integrating the data collected by independent systems. The invention belongs to the field of power systems.

An embodiment of the invention relates to the technology field of computers, and particularly relates to a monitoring method and a device thereof. The monitoring method and the device thereof comprise the steps of, according to detected configuration information of a monitoring client, obtaining a monitored item of the monitoring client; according to the monitored item of the monitoring client, determining a monitoring strategy corresponding to the monitored item in a pre-set monitoring strategy library; sending the monitoring strategy corresponding to the monitored item to the monitoring client, so that the monitoring client performs monitoring of the monitored item according to the monitoring strategy. Therefore, according to the monitored item of the monitoring client, the monitoring strategy corresponding to the monitored item in the pre-set monitoring strategy library is automatically determined, and the monitoring strategy is automatically sent to the monitoring client, so that the monitoring client automatically performs monitoring of the monitored item according to the monitoring strategy. In the process, manual participation is not needed, thereby reducing labor cost and improving efficiency of monitoring configuration.

Provided is a resource pool fault diagnosis and positioning processing method based on the probe technology, characterized by being capable of completely realizing the resource pool trouble shooting and relevance analysis of infrastructures such as a server, a network, a storage layer, etc. The beneficial effects are that the probe technology can push the standardization and intensification of cloud calculating resource pool operation management, improve the operation stability of a resource pool, provide an operation environment of high stability for a service system virtual machine, and play a significant role in promoting a cloud calculating resource SLA. The probe technology provides a new technical method for the cloud calculating management technology; cloud calculating operation data can be collected through constructing different probe technologies, thereby comprehensively controlling the operation management of cloud calculation, and establishing basic technical theory conditions for future cloud calculation development.

The invention relates to an intelligent monitoring system of a switching room. The intelligent monitoring system comprises a cloud server which is correspondingly connected with a terminal display device and a monitoring device, wherein the monitoring device collects and uploads the real-time data of the switching room; the cloud server receives the real-time data of the switching room, carries out data processing on the real-time data of the switching room, obtains and stores the final data of the switching room, and outputs switching room data; and the terminal display device receives the switching room data and interacts with a user. By use of the intelligent monitoring system, problems can be found and positioned in real time, and system problems can be guaranteed to be quickly solved with shortest time so as to recover power utilization. Remote monitoring and centralized monitoring are effectively added for the switching room, the operation and maintenance effect of the switching room is improved, the unattended effect of an enterprise switching room is realized, a professional maintenance crew is in charge of work including touring, overhauling, accident processing and the like, manpower cost is saved for enterprises, cost is lowered, the automatic temperature reduction and cooling of an electronic element can be realized, and the operation reliability of the intelligent monitoring system of the switching room is improved.

The invention discloses an intelligent substation comprehensive monitoring system based on Beidou Internet of Things. The system comprises a monitoring main station and a monitoring station end, and the monitoring main station communicates with the monitoring station end through a Beidou communication system. The monitoring station end integrates transformer oil chromatography monitoring data, a transformer iron core grounding current, transformer infrared temperature measurement data, switch mechanical characteristic information, partial discharge information in a transformer and a switch cabinet, a temperature and humidity in the switch cabinet, a cable joint temperature, cable joint ultraviolet monitoring data, cable interlayer water immersion information, lightning arrester monitoringdata, a grounding point grounding resistance and the temperature and humidity of each power distribution chamber in a substation so as to realize all-weather full-coverage state monitoring on a main electrical equipment working condition, an electrical equipment surrounding environment and an electrical equipment safety protection condition of the substation. Linkage control is carried out on power equipment defects, abnormal information alarm and front-end alarm so that safety of power grid operation is improved, labor intensity of front-line personnel is reduced, and an enterprise operationbenefit is improved.

The invention discloses an intelligent operation and maintenance method for relay protection equipment based on a mobile 5G network, and the method employs mobile terminal equipment to replace manual on-site recording in the operation and maintenance process of the relay protection equipment, and improves the efficiency and accuracy. The method comprises the steps that firstly, unique identity identification on equipment is collected through mobile terminal equipment, then after information input is completed, the mobile terminal equipment packages the unique identity identification information and standing book information and sends the packaged unique identity identification information and standing book information to a management server through a mobile network, and the management server updates a standing book information table according to on-site input information. The method further supports remote operation and maintenance, image collection equipment is preset around the relay protection equipment, action or state information of the equipment is judged through the image recognition technology, then a relay protection equipment standing book information table is updated correspondingly, and remote operation and maintenance are achieved. The management server is also provided with a data visualization processing module and a data mining module to realize visualization processing and fault pre-tightening analysis of the operation and maintenance data.