1456results about "Switchgear" patented technology

The invention discloses a substation autonomous inspection and foreign matter cleaning cooperative control system and method, and belongs to the technical field of intelligent inspection and foreign matter cleaning. The system comprises a multi-modal detection module used for acquiring images, point clouds and multi-source sensing data and identifying foreign matter coordinates and visual features; the space positioning module is used for executing space registration to obtain a three-dimensional coordinate of the foreign body; the risk decision module fuses the multi-dimensional information and evaluates the foreign matter risk level; the cleaning execution module generates a cleaning path and execution parameters and issues the cleaning path and the execution parameters; and the inspection execution module plans inspection paths and actions based on the state and constraint conditions, and completes subsequent equipment inspection tasks. According to the scheme, the system realizes clear division of labor and accurate control in multiple stages of foreign matter identification, space positioning, risk assessment, cleaning instruction generation, polling after cleaning and the like, and the expansibility and the overall response efficiency of the system are improved, so that efficient, safe and stable execution of autonomous polling and foreign matter cleaning tasks of the transformer substation is guaranteed.

The invention discloses a power distribution cabinet maintenance system based on artificial intelligence, and belongs to the technical field of intelligent power distribution cabinet diagnosis. Normalization, time sequence feature extraction and denoising are carried out on the collected data, an electrical topological graph is automatically constructed, node states are vectorized, text semantics are coded by utilizing a BERT class model, and a maintenance knowledge graph is generated; through fusion of multi-source data, a multi-branch neural network is constructed, state perception and risk determination are realized, and a fault trend and structure degradation are identified. Calculating a potential fault risk coefficient, and triggering a structure health monitoring mechanism; analyzing the structural health based on a topological graph and a graph neural network, and starting semantic strategy retrieval when the structure is abnormal; comparing the semantic conformity between the state and the historical strategy, and assisting in generating a precise maintenance strategy; according to the system, dynamic monitoring, intelligent early warning and strategy recommendation of the operation state of the power distribution cabinet are realized, and the operation and maintenance efficiency and the equipment reliability are improved.

The invention provides a multifunctional inspection device detection system based on a distribution network mobile operation terminal, and relates to the technical field of electric power detection, and the multifunctional inspection device detection system comprises a portable main terminal of a dynamic collaborative architecture, a wearable terminal for augmented reality interaction and a distributed heterogeneous sensing cluster, which form a closed-loop data chain through an electric power dedicated low-delay wireless communication network; the portable main terminal is integrated with a heterogeneous computing unit with adaptive computing power distribution, can perform real-time fusion analysis on multi-dimensional sensing data, and outputs a visual result containing fault location and confidence; the wearable terminal superposes fault information to a real scene in a three-dimensional marking form through a virtual-real fusion positioning technology, and supports eye movement and voice collaborative interaction; multi-module collaborative acquisition of the distributed heterogeneous sensing cluster is combined with a nanosecond timestamp synchronization mechanism, so that the limitation of traditional single parameter detection is broken through, rich and synchronous basic data is provided for subsequent analysis, and the comprehensiveness of routing inspection is greatly improved.

The invention discloses a power distribution cabinet cable monitoring method, system and device based on edge calculation, and relates to the technical field of power system monitoring and early warning, and the method comprises the steps: arranging a sensor in a power distribution cabinet, and collecting the displacement and deformation data of a cable; carrying out preprocessing and preliminary analysis on the collected data by utilizing edge computing equipment; the method comprises the following steps: determining whether cable displacement deformation is in an abnormal state or not according to a preset judgment condition through edge computing equipment, and uploading abnormal data to a cloud server if the cable displacement deformation is judged to be abnormal; and the cloud server receives the abnormal data and carries out deep analysis in combination with historical data. Through rapid processing of the edge computing device, once the cable is abnormal, the system can timely perceive and upload abnormal data, the real-time performance of monitoring is remarkably improved, it is ensured that the state change of the cable can be rapidly captured, meanwhile, a deep learning algorithm is introduced, more accurate anomaly detection is achieved, and the accuracy and reliability of early warning are improved.

The invention discloses a multi-terminal collaborative modular power operation and maintenance method and system based on digital twinning, and the method comprises the following steps: constructing a global power topological graph of a power energy site, mapping power equipment, sensors and connecting lines into graph nodes and graph edges, and binding the static attributes of the equipment with the topological structure; and acquiring real-time operation data of the power equipment, and distributing a unified time label for the multi-source heterogeneous data. According to the method, a unified twinborn model of cross-voltage class, cross-region and cross-equipment type is established in a digital twinborn platform, and operation data of different equipment such as photovoltaic equipment, battery energy storage equipment, an inverter, a protection device, an electric energy meter and temperature control equipment are expressed in a unified data semantic mode; according to the invention, the system can still automatically establish a consistent device portrait under the conditions of a large number of multi-terminal devices and diversified communication protocols, and the multi-terminal cooperative computing capability is significantly improved.

The invention discloses an unmanned aerial vehicle routing inspection abnormal target detection method and device based on deep learning, and relates to the technical field of unmanned aerial vehicle routing inspection, and the method comprises the steps: obtaining routing inspection data collected by an unmanned aerial vehicle in a photovoltaic routing inspection region according to a routing inspection route, and obtaining environment feature data and photovoltaic feature data through separation according to the routing inspection data, updating a photovoltaic environment model based on the environment characteristic data and the photovoltaic characteristic data, determining an abnormal influence factor of a current inspection task according to the photovoltaic environment model, and inputting the photovoltaic characteristic data and the abnormal influence factor into the photovoltaic inspection model to obtain an abnormal photovoltaic characteristic of a photovoltaic panel, and determining an abnormal target according to the abnormal photovoltaic characteristics, and outputting abnormal information of the abnormal target. Through the above mode, the relation between the environment change and the photovoltaic is used for judging the working condition of the photovoltaic, and the accuracy of determining the abnormal target in photovoltaic inspection by the unmanned aerial vehicle is improved.

The invention discloses a method for determining the position of a box-type transformer of a sand hill photovoltaic power station, and the method comprises the steps: extracting the topographic features of a sand hill through a graph embedding model, converting the topographic features into a high-dimensional vector, and dividing a photovoltaic module layout point matrix in combination with a plane point matrix model layout algorithm. Based on parameters of rated capacity, power supply radius and the like of the box-type transformer, a layout position is determined through the steps of screening effective point locations, dividing power supply partitions, constructing an electrical performance evaluation matrix, optimally screening an optimal candidate point location, performing final verification and the like. According to the method, topographic features and equipment parameters are fused, through multi-step system optimization, the limitation that the prior art depends on experience and single index judgment is overcome, the position determination accuracy and reasonability are improved, the method adapts to the complex sand mountain environment, losses and risks are reduced, and the operation efficiency of a power station is guaranteed.

The invention discloses an automatic wiring method and system of a secondary screen cabinet, a medium and a product, and belongs to the field of automatic wiring of the secondary screen cabinet, and the method comprises the steps: obtaining the design drawing data of the secondary screen cabinet, and extracting the installation position of each component and the insertion starting point and end point of a wiring harness; setting a plurality of bundling middle points for each wire harness based on the positions of the components, and forming a node sequence by combining starting and ending points; generating path fragments for each pair of adjacent nodes in the sequence by adopting a fast exploration random tree connection algorithm with sampling region constraint and an obstacle approaching penalty term; and sequentially splicing all the segments into a complete wiring path, and controlling a wiring device to automatically complete wiring harness arrangement and fixation according to the complete wiring path. By implementing the method, the problems of low efficiency and poor safety of automatic wiring path planning of the wiring harnesses in the secondary screen cabinet in the prior art can be solved.

The invention relates to the technical field of new energy power generation, and discloses an operation and maintenance decision-making method of a new energy station. The method comprises the following steps: acquiring meteorological data of a target new energy station, and equipment operation data and position relation data of each piece of target equipment; fusing the meteorological data, the equipment operation data and the position relation data based on the space-time correlation features of the target equipment to carry out space-time fusion, and determining the real-time state of the target equipment based on the space-time fusion features obtained through fusion; determining a first operation and maintenance decision result based on the real-time state and a preset operation and maintenance decision knowledge graph; performing physical verification on the first operation and maintenance decision result to obtain a physical verification result; performing security verification on the real-time state, the first operation and maintenance decision result and the physical verification result to obtain a security verification result; the first operation and maintenance decision result is verified based on the physical verification result and the safety verification result, the obtained second operation and maintenance decision result serves as the operation and maintenance decision result of the new energy station, and the method has the advantage of being high in fault recognition accuracy.

The invention discloses mechanical intelligent equipment for secondary wiring of a transformer substation. A lifting mechanism is arranged on a rack and is combined with a lifting module to control the height of a wiring working platform; the tool library module is mounted on the wiring working platform, so that cutting, peeling, cable marker sleeving and bending operations can be performed on a cable core; two mechanical arms are installed on a wiring working platform, and a main mechanical arm and an electric clamping jaw, a first visual module and a force sensing module in a main wiring execution module are used for grabbing a wire core, inserting the battery core into a terminal strip jack and detecting whether the battery core is inserted in place or fastened or not; the auxiliary mechanical arm and a tightening module and a second visual module in the auxiliary wiring execution module are used for achieving the technical purpose of screwing side screws of the terminal strip. The above secondary wiring operation can be realized through a control program deployed in the upper computer module and combined with the lower computer module for action control. The invention further discloses a transformer substation secondary wiring mechanical intelligent construction method.

The invention discloses a coal mine substation intelligent operation and maintenance early warning management system based on multi-source information fusion, and belongs to the technical field of coal mine substation operation and maintenance early warning. The multi-source sensing layer comprises an environment sensor arranged in a substation switch cabinet, an ultrahigh frequency partial discharge sensor array embedded in the root part of a switch cabinet insulating sleeve and the periphery of a GIS basin-type insulator, and vibration sensors mounted on a transformer shell and a circuit breaker operating mechanism mounting surface, and the environment sensor is used for detecting humidity and dust concentration; the ultrahigh-frequency partial discharge sensor array is used for capturing ns-level partial discharge pulses in real time and dynamically predicting the growth trend of the insulator surface contamination degree through the partial discharge amount, and the vibration sensor recognizes mechanical looseness through vibration spectrum features. According to the method, the pollution degree is associated with the partial discharge amount, so that early warning is changed from passive fault response to active risk pre-judgment, an accurate triggering condition and a decision basis are provided for operation and maintenance, and a changing curve of the insulator pollution degree along with the environment or the operation time is analyzed through data accumulation.

The invention discloses an operation system, method and equipment of a live working robot with an intelligent distribution network, and a storage medium, and relates to the technical field of intelligent distribution networks of robots, and the system comprises a first man-machine interaction module which supports bidirectional interaction with an operator through voice, characters, images and the like; the second multi-mode sensing module senses the equipment state, the obstacle and the environment change in the working environment in real time through a visual sensor, an auditory sensor, a force sensor and the like; the big language model processes and analyzes the instruction through a natural language and generates a task execution step, and adjusts a task strategy according to the perception data; the decision planning module formulates a task path and resource scheduling in combination with a multi-objective optimization algorithm; the safety monitoring module monitors the safety state in the operation process in real time and triggers early warning; the anomaly detection and processing module receives the early warning information and starts an autonomous navigation and path planning technology; according to the system, autonomous and safe operation of the robot is achieved, and task execution efficiency, adaptability and flexibility are improved.

The invention discloses an internal inspection system and method for oil filling equipment, and the system comprises a non-oil-discharge butt joint device which is in sealed butt joint with a manhole door and forms a sealed channel for an inspection robot to go in and out, and the inspection robot which is in a fish-shaped streamline shape and is provided with a multi-mode sensor group, the data acquisition module is used for acquiring internal structure data when moving in oil in the oil filling equipment; the ground control terminal is arranged outside the oil charging equipment; and the signal transmission module is in communication connection with the ground control terminal, the inspection robot and the multi-mode sensor group so as to receive and process the structural data and send a control instruction to the inspection robot. Accurate sealing butt joint with the manhole door of the oil filling equipment is achieved through the adapter, the cabin door mechanism and the butt joint cabin, opening and closing of the cabin door can be stably controlled through the driving mechanism in the closed space, and insulation oil leakage and external environment interference are effectively blocked. A fish-shaped inspection robot is adopted to adapt to a narrow space and a complex structure in the oil filling equipment.

The invention relates to the technical field of transformer substation intelligent inspection, and discloses a transformer substation automatic inspection device and method.The transformer substation automatic inspection device comprises an inspection robot, a transmission mechanism is movably connected to the inspection robot, a negative pressure adsorption device and a mechanical arm are rotationally connected to the top of the transmission mechanism, and an actuator is rotationally connected to the mechanical arm; an adsorption hose is fixedly connected to the top of the negative pressure adsorption device, the actuator comprises a shell plate, a cleaning brush is fixedly connected to the shell plate, an adsorption cavity is formed in the shell plate, the adsorption cavity is formed in the bottom of the cleaning brush, and a mechanical claw is fixedly connected to the bottom of the shell plate; the inspection robot is provided with an information acquisition module, a model identification module, an upper computer communication module, a dynamic task scheduling module, a multi-source data fusion module and a closed loop verification module; according to the device, air-ground collaborative operation is realized through an intelligent closed-loop inspection process, so that the response time from abnormality discovery to accurate confirmation is greatly shortened, and the accuracy and reliability of defect identification are remarkably improved.

The invention discloses an intelligent safety management system for a transformer substation and an implementation management method. The system comprises a remote intelligent patrol subsystem, an intelligent analysis subsystem and a client interaction subsystem. The remote intelligent inspection subsystem is deployed at a substation end and is composed of an inspection host, a multi-modal data acquisition device and a communication module. The intelligent analysis subsystem is deployed in a cloud server and comprises an image preprocessing module, an anomaly recognition module, an equipment classification module and a risk assessment module, the recognition precision is improved through multi-algorithm fusion, the image quality problem in a complex environment is solved through CycleGAN preprocessing, the anomaly recognition accuracy is improved through the combination of YOLOv5 and CycleGAN, and the risk assessment accuracy is improved. By combining with a random forest classifier, the equipment classification accuracy is improved; closed-loop management from data acquisition to decision support is intelligently realized in the whole process, so that the inspection efficiency is improved. According to the invention, by fusing multiple algorithms and the Internet of Things technology, the substation inspection efficiency and the safety management level are improved.

The present invention discloses a remote operation and maintenance management system for a power distribution station, which relates to the technical field of power distribution station operation and maintenance, and comprises: an information module, wherein the information module comprises a data acquisition unit and a data transmission unit, wherein the data acquisition unit is used to acquire operating parameter data of the power distribution station, and the data transmission unit is used to convert the operating parameter data of the data acquisition unit into an electrical signal and transmit the signal; the specific working mode of the data transmission unit comprises: first deploying sensors and image acquisition equipment; being able to automatically cache key data when the network is unstable, and retransmit it after the network is restored to ensure data integrity; utilizing real-time monitoring and local data analysis to timely warn of anomalies and reduce safety hazards; improving the accuracy and reliability of remote control through intelligent emergency response and delay compensation mechanisms; optimizing maintenance plans through intelligent evaluation and maintenance prompts, and reducing the workload of maintenance personnel and the number of on-site maintenance times.

The invention relates to the technical field of safety measure ticket automatic optimization, and discloses a safety measure ticket automatic generation and checking method and system, and the method comprises the steps: obtaining a maintenance plan; generating a work ticket based on the maintenance plan; obtaining topological data and real-time operation data of the power grid; generating safety measure tickets based on the topological data and the real-time operation data of the work ticket and the power grid, wherein the safety measure tickets comprise a mounting safety measure ticket and a dismounting safety measure ticket; performing time sequence dependence analysis on the installation instructions of the safety measure items in the installation safety measure tickets, and generating an optimal operation sequence of each installation safety measure ticket; carrying out association analysis on the safety measure items in each safety measure ticket, and generating a mistaken dismounting verification strategy for dismounting the safety measure ticket; according to the method, the problems of safety measure redundancy, safety measure time sequence conflict and mistaken dismounting risk which often occur in a complex maintenance scene of multi-ticket parallel execution are effectively solved.

The invention belongs to the technical field of hot-line work, and particularly discloses a complete insulation baffle plate for replacing a disconnecting link load side lead in 10kV hot-line work and a use method, the complete insulation baffle plate comprises a hanging plate, and the hanging plate is of an insulated plane plate-shaped structure; the upper side edge and the lower side edge of the hanging plate are provided with a cross arm hook and a baffle handle respectively. The cross arm hook is used for being matched with a cross arm; one side surface of the hanging plate is provided with a disconnecting link inner side insulating cover; the carrying head baffle is arranged on the side of the hanging plate; the head carrying baffle is bent to be of a C-shaped structure, a second notch is formed in the bottom of the head carrying baffle, the second notch is provided with a disconnecting link outer side insulation cover, and the disconnecting link outer side insulation cover is matched with the disconnecting link inner side insulation cover and used for being matched with a disconnecting link. The disconnecting link shield is bent to be of a U-shaped structure; and the opening end of the disconnecting link shield is matched and connected with the bottom of the carrying head baffle plate. According to the invention, the electrified body and the grounding body can be effectively isolated, the structural stability in the operation process is improved, and the operation time and manpower consumption are reduced.

The invention relates to the field of force-electromagnetic coupling measurement, and discloses a low-voltage electric energy metering box internal arrangement method and system based on a modular mutual inductor plugging structure, and the method comprises the steps: synchronously collecting three-phase module magnetic flux density, base strain field and pre-tightening force time sequence data through deploying a multi-source sensor; a directed weighted hypergraph is constructed to represent a magnetoelastic coupling topology, the topology is converted into a time-varying creep rate matrix through a viscoelastic creep memory operator, a compensation strategy is generated in combination with phase space division and a magnetostriction response tree, and finally an optimization scheme of module spacing and interface rigidity is reversely mapped. By accurately capturing the time-varying mechanical law of the strain field and the pre-tightening force, the problem of time-varying coupling drift of the modular mutual inductor caused by structure-electromagnetic coupling and viscoelastic memory effect is solved, the limitation of traditional static independent calibration is broken through, and long-term stability of three-phase metering precision is achieved.

The invention relates to the technical field of insulating rod auxiliary equipment, and particularly discloses an insulating rod auxiliary fastening method and device. The method comprises the steps that a rotating handle on the insulating rod is clamped through a clamping device, and the clamping device comprises a clamping assembly used for clamping the rotating handle, a transmission assembly used for driving the rotating handle to rotate and an output motor used for controlling starting and stopping of the transmission assembly; controlling an output motor to start, and acquiring a real-time current value of the output motor; when the real-time current value is larger than or equal to the preset current value, the output motor is controlled to be According to the scheme, the clamping device can clamp the rotating handle and drive the rotating handle to rotate, the operation burden of a worker is reduced, the risk that the insulating rod slips out of the hand is reduced, meanwhile, whether the conductor end is clamped by the insulating rod or not is judged by obtaining the real-time current value, the accuracy of judging whether the insulating rod is clamped or not by the worker can be improved, and the working efficiency is improved. The problems that in the operation process, the risk that the insulating rod slips out of the hand is high and the accuracy of judging whether the insulating rod is clamped is low are solved.

The invention discloses an automatic door control device, an electric power cabinet inspection method based on a robot and an electric power cabinet. The automatic door control device comprises a shell, a mounting plate, a driving module, an adjusting module and a connecting rod mechanism. The driving module drives the cabinet door to open and close through the rotating shaft and the linkage. The adjusting module comprises a second triggering piece slidably arranged on the arc-shaped groove of the limiting plate, and the position of the adjusting module is changed through the adjusting piece, so that the opening angle of the cabinet door is preset; a rotating lug on the rotating shaft triggers the first triggering piece when the cabinet door is closed, and triggers the second triggering piece when the cabinet door is opened to a preset angle. The inspection method based on the device comprises the following steps: receiving an instruction through the robot, navigating to the power cabinet, identifying an identity, triggering the adjusting switch through the mechanical arm, wirelessly sending a door opening parameter to control the adjusting module to preset an angle, and then driving the cabinet door to open; and the cabinet door is automatically closed after inspection is completed. The power cabinet integrates the device and the method. According to the invention, flexible adjustability of the opening angle of the cabinet door and automatic intelligent control of the door opening and closing process are realized, the problem of double-cabinet-door interference is effectively solved, and the inspection efficiency and safety of the robot are remarkably improved.

The invention discloses a power grid transformer technical renovation and overhaul time domain interval evaluation method. The method comprises the steps of 1, establishing an evaluation basic data set through multi-source data acquisition and data preprocessing; 2, screening key influence variables, quantifying variable influence weights by adopting regression modeling, and realizing accurate quantification of the health state of the transformer in combination with a TOPSIS algorithm; 3, forming a dynamic fault rate model; 4, constructing a system dynamics-Monte Carlo cooperation model, a fault tree-Bayesian network dynamic and static diagnosis model and a long and short term memory network time sequence prediction model; 5, setting an optimization target and a constraint condition, and outputting an optimal time point and a reasonable time domain interval of technical renovation and overhaul of the transformer by adopting a multi-target optimization solution method; and 6, model evaluation precision is tested back and verified through historical data, and key parameters of the model are subjected to feedback adjustment by adopting a particle swarm optimization algorithm. The method effectively solves the problems that a traditional method is low in evaluation precision, single in target and poor in dynamic adaptability, and is convenient to popularize and use.

The application provides an electric energy metering box, and relates to the field of electric energy metering boxes.The electric energy metering box comprises a shell, a first wire bundling device, a second wire bundling device, an illuminating device and four moving devices, the shell comprises a first shell, a splicing frame and a second shell, the first wire bundling device and the second wire bundling device are arranged inside the first shell and the second shell respectively, the second wire bundling device comprises a cylinder fixedly arranged inside the first shell and a bearing seat fixedly arranged on an inner wall, a rotating column is fixedly arranged inside the bearing seat, the rotating column extends into the cylinder, and a plurality of partition plates are fixedly arranged on the outer wall of the rotating column.In the application, the first shell and the second shell are arranged in a split mode, a new splicing frame can be added between the first shell and the second shell, a separate electric energy metering box does not need to be added for installing the electronic components exceeding the capacity, and the problem that the newly added electric energy metering box cannot be fully utilized and the land occupation is increased is avoided.

The invention provides circuit breaker assembling equipment for ultrahigh-voltage alternating-current power transmission and an assembling method of the circuit breaker assembling equipment, and belongs to the technical field of circuit breaker assembling equipment. The bottom plate is fixedly connected to the bottom of the top plate, electromagnetic blocks are arranged at the two side ends of the top plate, the top plate, the bottom plate and the two electromagnetic blocks are wrapped with a case, and two grips are fixedly connected to the top of the top plate; the lifting hook is arranged at the bottom of the bottom plate; the adjusting mechanism is arranged between the top plate and the bottom plate, and the winding wheel winds one end of the steel rope through rotation and is used for pulling the modularized circuit breaker parts to ascend and descend through the lifting hook, so that the circuit breaker parts are subjected to three-dimensional space displacement in the case, accurate butt joint between the modularized circuit breaker parts is facilitated, and the practicability is high. Assembly workers are assisted to accurately assemble modularized circuit breaker parts, the assembling difficulty of the modularized circuit breaker is reduced, and the assembling efficiency of the modularized circuit breaker is improved.

The GCB arc extinguish chamber disassembly device comprises a frame body, a positioning structure is arranged at the bottom in the frame body, the top of the frame body is open, one side of the top of the frame body extends outwards to form an overhanging part, a transverse frame is movably installed on the top of the frame body, sliding blocks are longitudinally installed on the two sides of the frame body in a sliding mode respectively, and the sliding blocks are arranged on the transverse frame in a sliding mode. The bottom of the sliding block is connected with a lifting device, the lifting device is supported and installed on the frame body, a clamping structure is installed on the sliding block, the clamping structure comprises a limiting unit, a connecting rod and a rotating pipe, the rotating pipe is transversely and rotatably installed on the sliding block, and the connecting rod is rotationally connected with an inner hole of the rotating pipe in a threaded fit mode; a limiting unit used for clamping the GCB arc extinguish chamber is rotationally installed at the end, close to the interior of the frame body, of the connecting rod, and a screwing part is arranged at the other end of the connecting rod. Under the condition that a crane is not adopted, the GCB arc extinguish chamber can be conveniently disassembled completely and stably, and the GCB arc extinguish chamber is not prone to being damaged in the disassembling process.

The invention provides an AI-driven new energy equipment fault early warning and self-healing method and system, and the method comprises the steps: obtaining multi-source physical data of new energy equipment, carrying out the preprocessing, and extracting a key feature quantity reflecting the health state of the new energy equipment; inputting the key characteristic quantity into a constructed diagnosis model for fault diagnosis to obtain a diagnosis result; if the diagnosis result shows that a fault exists, logic judgment is conducted according to the diagnosis result and a preset intelligent self-healing strategy, and whether self-healing operation is allowed to be executed or not is determined; if the self-healing operation is allowed to be executed, a standardized control instruction is generated and sent to an equipment executing mechanism, and the equipment executing mechanism is driven to complete the self-healing operation; and if the self-healing operation is not allowed to be executed, the diagnosis information, the early warning report and the disposal suggestion are pushed to the operation and maintenance monitoring end, so that accurate prediction, fusion diagnosis and safe self-healing of the fault are realized, and the operation and maintenance efficiency and the equipment reliability are improved.

The invention discloses a transformer substation secondary system modeling method and related equipment, and relates to the field of power system modeling.The method comprises the steps that firstly, feature information, hierarchical relations and connection relations of electrical elements are extracted from a transformer substation secondary system configuration file, and the system structure is comprehensively mastered; generating a historical information time sequence in combination with historical information of the transformer substation; then respectively mining a time influence factor and a space influence factor by using a long short-term memory network and a multiple regression model; and finally, establishing a global simulation model based on a digital twinning technology. According to the scheme, equipment operation data is deeply mined, and the data integration problem is solved; the space-time dimension is fully considered, and the equipment state is accurately simulated; information delay is reduced by means of a real-time data mechanism, and virtual-real synchronization is guaranteed; model lightweight and compatibility are achieved, and the multi-scene requirement is met. Therefore, active operation and maintenance decision is achieved, and the operation and maintenance efficiency and safety of the substation are remarkably improved.

The invention relates to the field of power equipment installation, and discloses a special transformer intelligent fusion terminal guide rail modular installation system and method.The method comprises the steps that the installation state of an intelligent fusion terminal body is dynamically sensed, and an initial constraint model of the installation direction is generated in combination with an attitude angle detection result; performing direction deviation detection on the initial constraint model, and calculating attitude offsets in the longitudinal and transverse directions; the expansion module is pushed into the standard interface of the terminal body along the guide rail direction, and the propulsion angle and the contact pressure are monitored in real time in the plugging process; when it is detected that the propelling angle deviates from the preset range and changes abnormally along with the contact pressure, whether propelling angle adjustment is associated with pressure distribution correction or not is judged, and if the pressure cannot be recovered to be normal after angle adjustment, a pressure auxiliary adjustment strategy is synchronously started in the propelling angle correction process; after the propelling angle and the contact pressure return to the balance state again, self-adaptive propelling stability control is executed; the method has the advantage that the installation and maintenance efficiency is improved.

The invention relates to the technical field of ring main units, in particular to a prefabricated metal closed ring main unit convenient to overhaul, which comprises a box body and four box doors, the front surface of the box body is open and is provided with an inner cavity, the box doors are used for closing the box body, the box doors are divided into two groups, the two groups of box doors are arranged along the width direction of the box body, and the four box doors are arranged in the box body. The two box doors in one group are a first box door and a second box door respectively, the second box door is located on the side, away from the adjacent group of box doors, of the first box door, the first box door can be arranged on the second box door in a sliding mode in the width direction of the box body, and when the first box door slides to be completely opened, the second box door is located on the second box door. The locking assembly is used for locking the first box door to the second box door, the second box door can be rotationally arranged on the box body around a rotating axis extending in the vertical direction, and after the second box door is rotationally opened, the limiting assembly is used for preventing the second box door from being reversely closed.

The invention discloses an intelligent electric crank for a handcart of a high-voltage switch cabinet of a transformer substation, and relates to the technical field of electrical equipment operation tools, a driving device of the intelligent electric crank integrates a direct-current brushless motor and a planetary reducer, and continuous torque adjustment of 10-50Nm is realized; the multi-specification adaptive transmission joint is forged by alloy, and supports multi-specification interfaces and quick release structures; the control module is based on a high-performance microcontroller and is provided with a multi-path interface and an AI processing unit; the sensor array monitors multi-dimensional data in real time; the man-machine interaction module provides a visual operation interface; the power management module supports a fast charging technology; a high-precision sensor and an edge AI are integrated, real-time health monitoring and dynamic adjustment of handcart operation of the high-voltage switch cabinet are achieved, faults are early warned in advance, parameters are optimized, meanwhile, modular design is adopted, a multi-specification adaptive transmission connector rapidly adapts to multiple specifications, man-machine interaction is visual, power management supports rapid charging, communication is compatible with a station control system, and high-voltage switch cabinet handcart operation real-time health monitoring and dynamic adjustment are achieved. And the operation flexibility and the system expansibility are both considered.