2022results 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 provides a photovoltaic power station operation state monitoring method based on unmanned aerial vehicle inspection, and the method comprises the steps: carrying out the surveying and mapping of the geographic position, landform and photovoltaic array layout of a photovoltaic power station through employing a surveying and mapping technology and a geographic information system, so as to build a digital photovoltaic power station model; acquiring technical parameters of each component of the photovoltaic power station, and mapping the technical parameters to the digital photovoltaic power station model; based on a preset inspection plan and the digital photovoltaic power station model, automatically generating an unmanned aerial vehicle inspection path; obtaining monitoring data obtained by the unmanned aerial vehicle according to the unmanned aerial vehicle inspection path, wherein the monitoring data comprises an appearance image of a photovoltaic array, temperature distribution of a photovoltaic module and illumination intensity data of different areas of a photovoltaic power station; vectorizing the monitoring data to obtain an input vector; and the operation state monitoring model performs feature extraction on the input vector so as to analyze the operation state of the photovoltaic power station.

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 intelligent monitoring control system, and relates to the technical field of power distribution cabinet monitoring control. The system is used for monitoring and controlling the operation state of the power distribution cabinet in real time and comprises a plurality of sensor units, a data acquisition module, an intelligent analysis module and a control execution module, the sensor units are used for acquiring various operation parameters of the power distribution cabinet, the data acquisition module is used for collecting data of the sensor units, and the intelligent analysis module is used for analyzing the data of the sensor units. And the intelligent analysis module is used for analyzing data and identifying an abnormal state. Operation parameters of the power distribution cabinet are collected in real time through the sensor unit, the data collection module carries out primary processing and verification and then transmits the operation parameters to the intelligent analysis module, and the module identifies and analyzes the operation state and potential faults of the power distribution cabinet by utilizing historical operation data and current abnormal data and combining a sensor position relation and a dynamic adjustment coefficient. And a corresponding early warning strategy is selected according to the fault type, and related control operation is executed through the control execution module.

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 low-voltage power distribution anti-misoperation device which comprises an anti-reverse power transmission module, an anti-misoperation module, a power regulation anti-misoperation auxiliary module, an interaction control screen and a state logic switching module. The invention discloses a low-voltage power distribution anti-misoperation method and device, and the method and device can effectively eliminate the above problems through an anti-reverse power transmission module, an anti-misoperation module and a power adjustment anti-misoperation auxiliary module, have the functions of preventing reverse power transmission and preventing power failure of a user caused by manual operation, and have a locking function when a line does not meet a loop closing condition. On the basis that an original secondary loop is provided with three locks and two keys, three heat reverse connection points are added, the device keeps the original three-lock and two-key protection function of a power supply company, and the intelligent heat reverse loop closing operation function is achieved. Therefore, the five-prevention function under the condition that the electric operation cannot be realized due to the defects of the device or the electrical secondary circuit can be met.

The invention relates to the technical field of electric power system digitization, in particular to an automatic efficient modeling method and system for an electricity utilization inspection scene. The automatic efficient modeling method for the electricity utilization inspection scene comprises the four steps of multi-source data collection, dynamic semantic modeling, intelligent modeling decision making and augmented reality rendering, the electricity utilization inspection scene modeling system comprises a data collection module, an intelligent modeling engine, an augmented reality terminal and edge computing equipment, and data interaction is achieved among the modules through a gRPC protocol. According to the method, an L4-level multi-physical field model is generated through unmanned aerial vehicle cluster collaborative collection and multi-source data millisecond-level fusion in combination with a dynamic semantic network and reinforcement learning resource allocation; edge calculation and dynamic LOD rendering are adopted to realize equipment internal perspective and multi-user collaborative labeling, quality closed-loop verification is matched, the bottlenecks of low modeling efficiency, multi-physical field data missing, high interaction delay and the like in the prior art are overcome, and the overall efficiency is improved by 80%.

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 relates to the technical field of monitoring of low-voltage side circuit breakers, and discloses a monitoring and overhauling method of a 35kV box-type transformer low-voltage side circuit breaker, which comprises the following steps of: formulating a monitoring information sampling period according to acquired equipment parameter information; constructing a low-voltage side circuit breaker maintenance model based on the historical data of the low-voltage side circuit breaker; setting a monitoring node based on the monitoring information sampling period, and obtaining low-voltage side circuit breaker real-time data of the current monitoring node; and detecting the operation fault risk of the equipment through the low-voltage side circuit breaker maintenance model, and carrying out maintenance according to the detection result. According to the invention, intelligent monitoring and automatic control of the state of the circuit breaker are realized, more refined maintenance management can be realized through evaluation of the health state of equipment and detection of operation fault risks, optimization of resource allocation is facilitated, unnecessary maintenance activities are reduced, the maintenance cost is reduced, and the efficiency and effect of maintenance work are improved at the same time.

The invention discloses power distribution cabinet assembly equipment and an assembly process thereof, and relates to the technical field of power distribution cabinet assembly.The assembly process comprises the following steps that S1, a foundation is stabilized, specifically, the equipment is integrally moved to a proper position through universal wheels, the equipment is integrally stood on the ground through stabilizing pieces, and stability is ensured; according to the power distribution cabinet assembly equipment and the assembly technology thereof, the posture of the assembly equipment is adjusted through an adjusting piece, self-definition can be achieved according to the personal condition of a worker, S3, stable installation is achieved, a tightening piece is connected to the upper face of a power distribution board installation top frame, and in S2, the overall posture of the power distribution cabinet assembly equipment is adjusted by arranging a conversion unit. According to the power distribution cabinet assembling equipment, the height suitable for an installation worker can be adjusted according to the height of the installation worker, the purpose that each worker can adjust the height of the pitching angle and the overall height of the equipment according to the needs of the worker is achieved, and therefore the working efficiency can be improved when the power distribution cabinet assembling equipment is used for actually assembling a power distribution box.

The invention discloses a three-dimensional point cloud-based intelligent management and control method and system for non-power-cut operation of a distribution network, and relates to the technical field of power operation management and control, and the method comprises the steps: integrating distribution network line data through a GIS, and eliminating a no-fly zone and an interference zone to generate an unmanned plane inspection route; a high-definition camera and a laser radar are used for collecting images and environment parameters, and a three-dimensional point cloud model is constructed. And calculating a shooting angle and classifying images based on the position relationship between the unmanned aerial vehicle and the tower, and fusing multi-source data to optimize the model precision. Effective images are screened, optimal angle parameters are determined, an optimal route is generated, the abnormal state of equipment is automatically recognized according to a route real-time collection data comparison model, fault alarm is triggered, maintenance resources are dispatched, and dynamic monitoring and closed-loop management and control are achieved. The method has the advantages that three-dimensional modeling, intelligent path planning and real-time analysis are integrated, the inspection efficiency and safety are remarkably improved, the manual intervention requirement is reduced, and the method is suitable for complex environment distribution network operation and maintenance.

The invention provides a layered and distributed collaborative inspection system for an intelligent substation. The layered and distributed collaborative inspection system comprises a collaborative inspection server, an inspection robot and a plurality of intelligent sensing units, when communicating with the inspection robot, the collaborative inspection server generates an inspection task carrying coordinates and identity codes of the to-be-inspected intelligent sensing units, issues the inspection task to the inspection robot, and receives transformer substation related data fed back by the inspection robot for fault analysis; when receiving an inspection task, the inspection robot writes all identity codes into the first RFID tag, then performs path planning according to all coordinates, and interacts with each intelligent sensing unit to be inspected; and when the intelligent sensing unit reads that one identity code in the first RFID tag is consistent with a pre-stored identity code, the intelligent sensing unit activates and collects related data of the transformer substation and writes the related data into the second RFID tag, and then the inspection robot reads the related data. According to the invention, the problems that hidden danger information is not obtained timely and the inspection position is not in place, so that data analysis results exist are solved.

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 belongs to the technical field of power equipment, and discloses an outdoor safety distribution box, which comprises a distribution box shell and a door body, and also comprises an abutting module, which is installed at one side, close to the door body, of an inner cavity of the distribution box shell; the first shielding plate is arranged in the upper end of the distribution box shell; the power module is installed in the distribution box shell and provides outward moving power for the first shielding plate; according to the power distribution box, through cooperation of the structures such as the movable assembly and the pressing assembly, the situation that when the wind power is large, the wind power continuously blows the door plate to swing back and forth, the outer side of the power distribution box shell and the body of an operator are flapped, and the safety of the operator is improved is avoided. Therefore, the door plate swings back and forth to influence the maintenance process of the operator, and the situation can also be suitable for normal weather conditions, so that the maintenance process of the operator on the interior of the distribution box shell is ensured.

The present invention discloses an assembly machine for a split-assembly modular power distribution cabinet, which relates to the technical field of power distribution cabinet assembly, and comprises a frame, a first slide rail is installed on the top of the frame, a frame is slidably connected to the first slide rail, a support plate is arranged in the middle of the frame, a second slide rail is installed on the top of the frame, the support plate is slidably connected to the second slide rail, a lifting rod is installed through the middle area of ​​the support plate, a counter plate is symmetrically installed on the top of the support plate, a slider is installed on the facing surface of the counter plate, the slider is slidably connected to the lifting rod through a track, a reinforcement plate is fixedly installed on the bottom of the lifting rod, and when bolts are tightened on the same assembly surface, all the bolt holes thereof are tightly fitted with the assembly plate, so that the assembly plate has high installation accuracy.

The invention relates to the technical field of remote inspection, and particularly discloses a remote intelligent inspection system and method for a transformer substation, and the method comprises the steps: collecting a state image of a hard pressing plate through an inspection robot, introducing an image processing technology based on deep learning, and carrying out the fine-grained feature extraction of the state image of the hard pressing plate and a set state image, the method comprises the steps that firstly, a hard pressing plate state image and a hard pressing plate set state image are acquired, image semantic features of all local areas of the hard pressing plate state image and the hard pressing plate set state image are mined, and then feature similarity fine-grained analysis based on the local areas is carried out on the two images so as to achieve real-time monitoring and abnormity warning of the hard pressing plate state. Through the mode, the operation and maintenance efficiency and safety of the transformer substation can be remarkably improved, the labor cost is reduced, and meanwhile, the safety risk caused by manual operation errors is reduced.

The invention relates to the technical field of robots, in particular to an inspection robot mother ship split robot folding and unfolding manipulator system which comprises an inspection vehicle base and a manipulator arranged on the inspection vehicle base. The manipulator comprises a telescopic mechanism; the inspection vehicle base is provided with a folding mechanism; the system further comprises a split robot and a storage bin for containing the split robot. An access channel is arranged above the storage bin; an elastic mechanism is arranged at the bottom of the storage bin; a pressing mechanism is arranged above the access channel; the in-out channel is provided with a retracting opening, and the retracting opening faces the direction opposite to the direction in which the folding mechanism folds the telescopic mechanism. The access channel is further provided with a push-pull mechanism, and the push-pull mechanism is provided with an electric locking device. A Halbach permanent magnetic mechanism is arranged on the front side of the split robot; an electromagnetic induction coil is wound outside the middle permanent magnet and the yoke, and the electromagnetic induction coil generates magnetism opposite to the middle permanent magnet after being electrified. The inspection robot is prevented from rolling over, and the split robot is prevented from falling.

The invention provides a power distribution cabinet safety early warning method and system, and belongs to the technical field of power distribution cabinet safety early warning. Monitoring areas are accurately divided, operation data of core components are monitored in real time, and comprehensive analysis of historical data and construction of a correlation influence network diagram are combined; according to the invention, deep understanding and intelligent prediction of the operation state of the power distribution cabinet are realized, a fault area can be timely found and pre-warned, a monitoring area associated with the fault area is automatically identified as a potential safety hazard monitoring area, a pre-warning notification is triggered, and in addition, the detection frequency can be dynamically adjusted according to the operation parameters of the potential safety hazard monitoring area. The use efficiency of monitoring resources is optimized, and the operation and maintenance efficiency and safety of the power distribution cabinet are remarkably improved.

The invention discloses an isolating switch heating live-line processing control system and method. The system comprises a temperature monitoring module, a current acquisition module, a control module and a shunting module. The heating condition is judged by accurately monitoring the temperature current so as to control the shunting module to work, and shunting is realized by means of a wire clamp tightly connected with the moving contact and the static contact and a direct-connection shunting wire. The method comprises the steps of strict preparation before operation, careful assembly of the device, accurate operation, proper rod taking and careful follow-up inspection. The power supply reliability is improved, and the adverse effect of power-off maintenance is avoided; the maintenance efficiency and economic benefits are improved, the maintenance time is shortened, and the cost is reduced; the technical progress and management innovation are promoted, the technical blank is filled, and a new thought is developed. According to full verification of the embodiment, safe and stable operation of the power grid can be effectively guaranteed in various scenes, and the method is of great significance to development of the power industry.

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.

Embodiments of the present disclosure provide a solid-state transformer in-grid operations and maintenance circuit and a method therefor, a controller, and a storage medium. The solid-state transformer in-grid operations and maintenance circuit comprises solid-state transformer units, input side switches, output side switches, and an auxiliary energy charging loop; the input side of each solid-state transformer unit is connected to an input bus, and the output side is connected to an output bus; the input side switches are arranged on the input sides of the solid-state transformer units, and the output side switches are arranged on the output sides of the solid-state transformer units; one solid-state transformer unit corresponds to one input side switch and one output side switch; and a voltage output end of the auxiliary energy charging loop is connected between the solid-state transformer units and the output side switches. When a solid-state transformer unit needs to be maintained or replaced, the input side switches and the output side switches of some of the solid-state transformer units can be disconnected, and since the decrease in system capacity is small, the system can still operate normally; additionally, the solid-state transformer units are charged by means of the auxiliary energy charging loop, so that the inputs and outputs of the units are restored in a surge-free manner.

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 a modularized high-low voltage power distribution cabinet and a use method thereof, and relates to the technical field of power distribution cabinets, the modularized high-low voltage power distribution cabinet comprises a power distribution cabinet body, two side walls of the power distribution cabinet body are provided with support assemblies, the support assemblies are slidably connected in a limiting mechanism, the limiting mechanism is arranged on an adjusting mechanism, and the adjusting mechanism is arranged on the power distribution cabinet body. The two sets of adjusting mechanisms are symmetrically arranged, and the bottom end of the power distribution cabinet body is placed on a transportation plate trailer to be transported. A gap in the bottom end of a traditional power distribution cabinet is small, dust and impurities are easy to accumulate in the gap, and heat dissipation of equipment in the cabinet is affected, and according to the design of the device, through cooperation of the adjusting mechanism and the supporting assembly, the bottom end of the power distribution cabinet body can be lifted, enough space is provided, and a worker can conveniently use a conventional cleaning tool to conduct thorough cleaning.

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 automatic on-duty inspection method for a master station dispatching system OCS, and the method comprises the steps: carrying out the clustering analysis of feature vectors according to a preset clustering model, and obtaining a clustering result of equipment; dynamically adjusting a data sampling period according to the clustering result, and shortening or prolonging the sampling period according to the equipment state change rate; establishing a delay prediction model according to historical data of equipment communication delay, and if the predicted delay exceeds a preset threshold value, starting a standby communication channel; aiming at the abnormally fluctuating equipment state data, generating a control instruction execution sequence by adopting a priority scheduling algorithm; generating a control instruction through a real-time control decision engine and issuing the control instruction to the target equipment; adjusting a control strategy according to an execution result of the control instruction; and optimizing a data acquisition and control instruction issuing strategy through a detection result of network fluctuation and hardware performance.

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.