2253results about How to "Reduce frequency" patented technology

The invention discloses a poultry breeding monitoring management system based on big data, and relates to the technical field of poultry breeding supervision, the poultry breeding monitoring management system monitors the environment in a poultry house in real time, immediately triggers a behavior monitoring module when abnormality is detected, generates a specific environmental abnormality score, and combines visual monitoring and infrared thermal imaging to realize the monitoring and management of poultry breeding. According to the method, individual behavior characteristics of each poultry are effectively extracted, an individual behavior data stream is generated, individual potential health risks are identified, a health archive is adopted to accumulate long-term behaviors and environmental data of each poultry, and a time sequence analysis model is utilized to identify individual behavior modes and health change trends. Possible health risks are predicted based on historical data and models, management perspectiveness and disease prevention and control efficiency are effectively improved, meanwhile, abnormal features with the most influence are automatically recognized through comprehensive risk scoring and contribution degree analysis and are pushed to management personnel, the health archive of each poultry is updated in real time, and the management efficiency is improved. And the overall operation efficiency of the farm is improved.

The invention relates to the technical field of industrial automation, and discloses a method for detecting abnormal operation of industrial control equipment based on industrial control protocol analysis, which comprises the following steps of: 1, acquiring operation data of the industrial control equipment through at least one industrial control protocol which is a Modbus protocol, an OPC UA protocol or a PROFIBUS protocol, the operation data comprises sensor data, register data and equipment state data of the equipment; and 2, analyzing the collected data packet by using a protocol analyzer, extracting key information related to the equipment operation state, the key information comprising parameters such as equipment working frequency, load, vibration, temperature and pressure, and converting the key information into a uniform data format. By collecting, analyzing and analyzing the operation data of the industrial control equipment in real time, abnormal conditions in operation of the equipment can be found in time, spreading of equipment faults is avoided, and stable operation of the equipment is guaranteed.

The invention relates to the technical field of communication networks, and discloses a service channel time slot allocation method, which comprises the following steps of: 1, acquiring network data in real time from network equipment, the network data comprising bandwidth utilization rate, delay, packet loss rate and service flow type; 2, predicting future network flow fluctuation through a long-short-term memory network model based on historical flow data and real-time network data; and step 3, dynamically adjusting the allocation of time slot resources according to the network flow fluctuation prediction result, and preferentially allocating the time slot resources for high-priority services. According to the method, the dynamic adjustment of the time slot resources is realized by combining the flow prediction of the LSTM model and the Q-learning reinforcement learning algorithm, so that the system can flexibly allocate the resources according to the actual network load condition, the resource waste is reduced, the utilization efficiency of the bandwidth is improved, and the utilization rate of the overall network resources is remarkably improved especially under the condition of high network load.

The invention discloses an LED large screen automatic repair and fault-tolerant display system and method, and relates to the technical field of LED display. The method comprises the steps that a sensor network and a high-definition camera collect data in real time; when an abnormal area is found, an intelligent diagnosis algorithm carries out comprehensive judgment according to sensor data and an image processing result, and the position and the type of a fault lamp bead are determined; starting an automatic repair process; redundant pixels are started to carry out hardware restoration; the dynamic reconstruction algorithm automatically adjusts the arrangement and brightness of redundant pixels, so that the redundant pixels replace fault lamp beads to participate in display; the system automatically adjusts the resolution and the display mode of the large screen according to the number and the distribution of the fault lamp beads. The problem that the display effect of an existing LED large screen is reduced when part of LED lamp beads are damaged is solved, it is ensured that the large screen can still maintain the good display effect under the fault condition through an innovative automatic repair and fault-tolerant mechanism, and the reliability of the system and the user experience are improved.

The invention relates to the technical field of equipment risk management and control, and particularly discloses an equipment risk management and control system based on model prediction control, which comprises a data acquisition processing module, a data analysis module, a model construction prediction module and an analysis regulation and control module, obtaining an equipment health condition score through standardization processing and weighted calculation; the data analysis module is used for distinguishing linear and nonlinear characteristic signals according to the score change trend; the model construction and prediction module selects corresponding algorithms to establish a prediction model according to different types of signals, so as to predict the health state of the equipment in the future; the analysis regulation and control module formulates a reasonable equipment maintenance plan based on the prediction result, and dynamically adjusts the production arrangement, the equipment state is continuously monitored and intelligently analyzed, faults can be effectively prevented, the probability of occurrence of non-planned shutdown events is reduced, and finally the purpose of improving production safety and economic benefits is achieved.

The invention relates to the field of coal mine underground roadway supporting processes, and discloses a roadway supporting process for regional high-stress discrete solidification. The method comprises the steps of geological exploration and stress testing, roadway support processing, support sorting, parameter determination and real-time monitoring and feedback, in the roadway support processing, a stress data processing module is constructed, stress data around a roadway are discretized into a plurality of area units, support sorting is conducted on the area units, and the roadway support processing module is constructed; and the high-stress area and the secondary high-stress area are sequentially subjected to supporting construction, parameters of anchor rods and anchor cables are determined before supporting construction, and the supporting effect is ensured. According to the roadway supporting method suitable for regional high-stress discrete solidification, the stability of the roadway is enhanced, the service life is prolonged, and the safety is improved by perfecting the supporting process.

The invention discloses a laser cutting parameter adjusting system based on machine learning, and relates to the technical field of laser cutting. According to the method, multiple laser cutting parameters in the laser cutting process are collected, a short-term state index and a long-term state index are calculated based on the cutting parameters, and a laser cutting instant index and a laser cutting long-term index are generated respectively; based on the laser cutting instant index and the laser cutting long-term index, optimized laser cutting parameters are generated, and working parameters of the laser cutting machine are adjusted in real time; the adjustment result and the related data are sent back to the data storage module for updating the historical database; a real-time distribution curve is generated and compared with a target distribution curve, deviation is calculated, and a parameter optimization target curve is generated; and according to the optimized sub-targets, laser cutting parameters are adjusted in real time, and the stability and high efficiency of the laser cutting process are ensured. According to the system, accurate control over the laser cutting path is achieved through multi-layer and non-uniform control unit division and time-space correlation model construction.

The invention relates to the technical field of electric energy metering, in particular to an insulation performance evaluation system and method for an insulation voltage transformer, and the system comprises an insulation monitoring and sensing optimization module, a central storage unit, a data processing and abnormity analysis module, and an equipment performance evaluation module. The insulation monitoring and sensing optimization module builds an intelligent sensor network and a data acquisition and processing terminal, and realizes real-time monitoring of the insulation voltage transformer; the data processing and anomaly analysis module extracts key features and analyzes the key features in real time by using a local anomaly factor algorithm, so that the abnormal change of the insulation performance can be found in time; and the equipment performance evaluation module calculates a comprehensive gain value index to carry out detailed performance evaluation on equipment with problems, so that operation and maintenance personnel can know the state of the equipment and formulate a reasonable maintenance, replacement or optimization strategy. The method is used for solving the technical problems of incomplete monitoring and insufficient evaluation of the insulation performance of the insulation voltage transformer.

The invention relates to the technical field of powder concentrator control, in particular to an unpowered powder concentrator air volume control method and system, which reduce the time and frequency of shutdown adjustment, improve the continuity and stability of a production line and finally improve the overall production efficiency through real-time and dynamic control. The method comprises the following steps: collecting a plurality of material grading samples obtained by grading and powder selecting of an unpowered powder selecting machine; based on preset material grading target features, target deviation feature extraction is carried out on each material grading sample, and a material grading deviation vector corresponding to the collection time is obtained; obtaining material grading deviation vectors at a plurality of collection times, and arranging the material grading deviation vectors according to a time sequence to obtain a material grading deviation matrix; and inputting the material grading deviation matrix into a pre-constructed powder concentrator grading precision evaluation model to obtain a material grading precision index corresponding to the unpowered powder concentrator.

The invention relates to the field of hoisting equipment, in particular to a crane monitoring system and a crane monitoring method, and the operation efficiency, the safety and the reliability of the system are remarkably improved through real-time monitoring analysis, trend analysis and fault analysis. Real-time monitoring and analysis can respond to abnormal conditions in time, operation parameters are optimized, and the equipment utilization rate is improved. Trend analysis supports predictive maintenance and resource optimization, and downtime is reduced. Fault reasons are accurately diagnosed through fault analysis, detailed reports and prevention measures are provided, and safety is guaranteed. Data quality and analysis accuracy are improved through data preprocessing, and long-term stable operation of the system is ensured through historical data analysis and trend prediction. And the comprehensive report and data visualization assist in management decision making, and the operation cost is reduced. On the whole, the data analysis module brings comprehensive optimization and remarkable benefit improvement to the crane monitoring system.

The invention discloses a sand source resistance and control dynamic configuration method for a hole-to-wind sand area, and relates to the technical field of wind and sand protection, and the method comprises the following steps: collecting meteorological data, wind and sand data and historical sand source change data of the hole-to-wind sand area, and obtaining geographic information and vegetation coverage conditions of the sand source area through a remote sensing technology and ground monitoring equipment; by monitoring key parameters such as wind speed, wind direction and dust concentration in real time and combining high-resolution ground image data acquired by an unmanned aerial vehicle and a satellite remote sensing technology, real-time sensing and accurate analysis of sand source changes are realized, the efficiency and accuracy of data collection are improved, and the detection accuracy is improved. In addition, the prevention and control measures can be dynamically and accurately arranged according to the specific sand source, and by dynamically adjusting the arrangement and density of prevention and control facilities and optimizing the type and area of vegetation coverage, sand storm invasion can be more effectively prevented, the occurrence frequency and intensity of sand storm are reduced, and the efficiency and accuracy of sand source prevention and control are remarkably improved.

The invention relates to the technical field of drinking water safety monitoring, and discloses a rural drinking water safety monitoring method, which comprises the following steps: S1, water sample collection; s2, monitoring a water sample; s3, data acquisition and transmission; s4, data processing and analysis; s5, early warning; s6, water quality reporting, water quality safety of rural drinking water sources and water delivery pipe networks is ensured by monitoring and evaluating water quality parameters in real time, potential water quality problems can be found and dealt with in time through regular and instant monitoring, health risks caused by water quality pollution are reduced, automatic and continuous water quality monitoring and data transmission are achieved, and the water quality monitoring efficiency is improved. The frequency of manual sampling and inspection is reduced, the monitoring efficiency is greatly improved, real-time collection and analysis of data also shorten the problem discovery and response time, the response speed is improved, and a scientific basis is provided for water quality management and decision making through comprehensive water quality index CWQI calculation and water quality report generation. A decision maker can analyze according to data and trends in the report.

The invention relates to the technical field of wireless sensor networks, and discloses an automatic maintenance method for wireless sensor network nodes in a mine laneway, which comprises the following steps: S1, network topology structure design: establishing a wireless sensor network consisting of sensing nodes, relay nodes and gateway nodes, the sensing nodes being distributed in the mine laneway, the relay nodes being distributed in the mine laneway, and the gateway nodes being distributed in the mine laneway; the data acquisition node is used for acquiring environment data, the relay node is used for multi-hop transmission of the data, and the gateway node is used for communicating with a ground monitoring system; s2, a fault detection mechanism: integrating a fault detection module in each node; s3, a self-repairing mechanism: when the node detects a fault, automatically triggering the self-repairing mechanism; s4, performing fault early warning and reporting; and S5, energy consumption management and optimization: the system integrates an energy consumption management module in the node. Through the integrated fault detection module and the self-repairing mechanism, the system can automatically identify and try to repair the fault when the fault occurs, so that the downtime of the system is reduced, and the continuous and stable operation of the network is ensured.

The invention discloses a partition control method based on hybrid energy storage life economy and frequency modulation limit, and belongs to the technical field of thermal power-energy storage combined frequency modulation. According to the method, dynamic equilibrium quotation and each energy storage performance representation are established by using real-time SOC to serve as an upper layer model, energy type energy storage optimal life evaluation is provided, an energy storage charging and discharging switching model is constructed, frequent switching of energy type energy storage is limited, and the life is prolonged; the bottom model constructs a power type energy storage frequency modulation limit standard, introduces multi-target constraints, proposes a hybrid energy storage operation scheme suitable for a full scene, employs evaluation indexes, carries out the frequency modulation effect evaluation of the provided frequency modulation control model from the adjustment rate, precision and response time, improves the net income, reduces the service life loss and frequency deviation of a battery, and improves the reliability of the system. The frequency modulation reliability and sustainability of regional energy storage can be improved; the method has the advantages of being scientific, reasonable, high in applicability, good in effect and the like.

The invention relates to the field of water treatment and video treatment, and discloses a water plant coagulating sedimentation effect estimation method, system, medium and equipment based on alumen ustum target tracking, and the method comprises the following steps: collecting alumen ustum video images, and aligning online flow water quality instrument data with the alumen ustum video images; inputting the aligned online flow water quality instrument data and alumen ustum video images into a video target tracking large model, tracking each alumen ustum target, and constructing the form and motion characteristics of alumen ustum to obtain alumen ustum characteristic data; based on alumen ustum characteristic data and online flow water quality instrument data, a sedimentation tank effluent turbidity estimation model is trained; reading alumen ustum video streams and online instrument data on line, inputting the alumen ustum video streams and the online instrument data into the large video target tracking model, and estimating the effluent turbidity of the sedimentation tank through the effluent turbidity estimation model of the sedimentation tank. The risk that the adding amount of the coagulant is not adjusted in time can be reduced, the water quality stability of effluent of the sedimentation tank is improved, and the backwashing frequency and economic cost of the filter tank are reduced.

The invention relates to the field of vehicle emission prediction, and discloses a gasoline vehicle emission prediction method based on an XGBoost-SVR combined model, and the method comprises the following steps: S1, collecting the instantaneous emission data of pollutants of a gasoline vehicle and vehicle driving parameters, and carrying out the time sequence calibration processing; s2, singular spectrum analysis is adopted to decompose and reconstruct the pollutant emission data; s3, dividing the processed pollutant emission data and vehicle driving parameters into a training set, a verification set and a test set; s4, establishing an XGBoost model, and predicting the instantaneous discharge amount of pollutants by inputting vehicle driving parameters; s5, calculating a residual error between a predicted value and an actual value based on the verification set; and S6, correcting the residual error by using an SVR model to obtain a final pollutant emission prediction value. According to the method, the XGBoost and SVR models are combined, so that high-precision prediction of the pollutant emission of the gasoline car is realized, data noise is effectively removed, the experiment cost is reduced, and the generalization ability and adaptability of the model under complex working conditions are improved.

The embodiment of the invention provides a memory management method and device for a large language model, and the method comprises the steps: obtaining an input lexical element which is a basic unit for processing the large language model; reasoning the input lexical unit through a large language model to obtain a key value cache of a first length, the key value cache of the first length being a key value cache corresponding to a lexical unit needing to be deleted by the input lexical unit; under the condition that the first length is smaller than a second length, the target memory management block is set to store the key value cache of the first length, and the second length is the maximum length, allowed to store the key value cache, of the target memory management block; and when the first length is equal to the second length, setting the target memory management block to cancel the storage of the key value cache of the first length. By means of the method and device, the problem that the memory management stability of the large language model is low is solved, and then the effect of improving the memory management stability of the large language model is achieved.

A thin-wall annular part zero-point quick-change tool with cutting waste liquid collecting and discharging functions belongs to the technical field of aero-engine part manufacturing and comprises a zero-point quick-change tool mother disc, a zero-point quick-change tool son disc, a pneumatic blind rivet locking and positioning mechanism, a guide positioning pin mechanism, a thin-wall annular part clamp and a cutting waste liquid collecting and discharging assembly. According to the zero-point quick-change tool for the thin-wall annular part, cutting waste liquid can be efficiently discharged in the machining process of the thin-wall annular part, meanwhile, cutting impurities are filtered, and the reliability and stability of cutting waste liquid discharging are guaranteed; in the transferring process of the thin-wall annular part, the cutting waste liquid can be automatically sealed and stored, the cutting waste liquid is prevented from dripping on a mechanical arm or other transferring equipment of an automatic production line, the frequency and difficulty of equipment cleaning and maintenance are reduced, the production time occupancy rate of equipment cleaning and maintenance is further reduced, and the production efficiency is further improved. Meanwhile, potential safety hazards caused by the fact that cutting waste liquid drips on equipment are avoided.

The invention relates to the technical field of bus joint temperature measurement, and discloses a method for automatically monitoring the temperature of each phase busbar for infrared temperature measurement of a bus joint, and the method comprises the steps: collecting the surface temperature data and real-time images of each phase busbar of the bus joint in real time through installing an infrared temperature measurement sensor and image collection equipment. After preprocessing, temperature data is converted into an image form, and the image form and a bus bar real-time image are superposed to generate a fusion image, so that the actual form and the temperature distribution condition of the bus bar can be observed at the same time. Through presetting a high temperature early warning threshold value and a temperature gradient change threshold value, a temperature gradient direction is calculated and a change trend is analyzed so that prediction and early warning of temperature abnormity are realized. And when the temperature or temperature gradient change exceeds a preset threshold value, an early warning mechanism is triggered, an alarm signal is sent out, and an abnormal position and related information are displayed through a visual interface. According to the invention, the use safety and reliability of the bus duct are improved, and the fault risk caused by abnormal temperature is reduced.

The invention discloses a venue building fire automatic early warning construction integrated device and a using method. The venue building fire automatic early warning construction integrated device comprises a mounting base, a shell is arranged at the lower end of the mounting base, an air inlet cover is arranged in the center of the lower end of the shell, a filter screen is fixedly mounted at the position, close to the bottom, of the surface of the air inlet cover, and the upper end of the air inlet cover penetrates into the shell. According to the automatic early warning construction integrated device for the venue building fire, through the scheme of the mounting base, the rotating column, a second gear, a third gear, a threaded rod, a threaded plate, a clamping plate, a connecting block, a clamping groove, a clamping block and a rotating button, an operator rotates the rotating button, and then the second gear can be meshed with the second gear to drive the threaded rod to rotate; the two threaded plates can horizontally move oppositely or oppositely, so that the clamping blocks on the clamping plates are driven to be tightly combined with or separated from the clamping grooves, the mounting and dismounting steps are simplified, and the complexity caused by a traditional screw fixing mode is avoided.

The invention discloses an existing anchoring and shotcreting side slope ecological restoration technology and method with shrub planting as the core, a side slope vegetation hole environment improving device and a hole filling layered structure design are included, and the side slope vegetation hole environment improving device is mainly composed of a conical threaded drill bit, a connecting rod, a motor, a metal connecting hose, a pressure storage tank and an air compressor. The motor provides power for penetration of the gas injection needle head, and the air compressor provides power for injection of the plant nutrient solution; the vegetation hole layered structure comprises a bottom water retention layer, a base fertilizer layer, a nutrient soil layer and a surface covering layer; environment improvement is conducted on the vertical and horizontal directions of the planting holes through an environment improvement device, local dominant shrubs are planted in the planting holes, and local dominant vine plants are planted at the top of the slope to comprehensively and ecologically protect the slope; comprising the following steps: step 1, investigating and surveying plant communities and analyzing slope stability; step 2, slope vegetation hole environment improvement; 3, planting hole construction; and 4, slope top vine plant ecological slope protection construction is carried out.

The invention discloses an edge calculation control method and equipment for a power transmission line image acquisition device, and the method comprises the steps: deploying a plurality of edge calculation nodes at a preset position node of a power transmission line, and enabling all edge calculation nodes to be connected with a management system of a cloud server; the control method comprises the following steps: preferentially processing tasks with high priorities and high security levels by adopting a dynamic resource allocation strategy according to the priorities and the security levels of image acquisition tasks; the tasks can be distributed to adjacent idle nodes through the centralized management system; or uploading the data corresponding to the processing task of the edge computing node to a cloud server for collaborative analysis; and an analysis result can be sent to a monitoring center and maintenance personnel in real time. According to the method, edge computing resources are reasonably optimized, so that edge computing nodes can perform data processing locally; edge-edge and edge-cloud cooperative processing can be realized through control; the system can cope with complex and changeable field environments, and provides powerful guarantee for safe and stable operation of a power transmission line.

The invention relates to an oilfield underground slow-release scale and corrosion inhibitor and a production process thereof, and aims to solve the problems of scaling and corrosion caused by water injection in the oilfield exploitation process. According to the scale and corrosion inhibitor, various components such as the inorganic salt, the organic corrosion inhibitor and the natural plant extract are compounded, and a production process is combined, so that excellent properties such as long-acting slow release, efficient scale and corrosion inhibition, sterilization and algae removal, environmental protection and degradability are realized. The production process comprises the steps of raw material preparation, mixing reaction, melting homogenization, cooling forming, annealing treatment and the like, and stable performance and reliable quality of the scale and corrosion inhibitor are ensured by controlling process parameters of each step. The scale and corrosion inhibitor disclosed by the invention has obvious long-term effect, the workload of frequent addition and maintenance can be reduced, and the production cost is reduced; the environment-friendly and degradable characteristics meet the modern environment-friendly requirements, and the ecological environment can be protected. In addition, the scale and corrosion inhibitor has good adaptability and can adapt to different oil field geological conditions and fluid property differences.

The invention provides a robot customer service question intelligent processing method and system. The method comprises the steps that user questions are acquired, and feature extraction and integration are conducted on the user questions; constructing a user dynamic causal reasoning model, and generating a multi-level problem solving strategy according to user problems; constructing a self-adaptive response strategy generation model according to the generated multi-level problem solving strategy and the integrated feature vector to generate a response strategy most adaptive to the current corresponding context; executing the response strategy and judging whether to perform learning triggering according to the feedback of the user; performing real-time adaptive learning and optimization on the adaptive response strategy generation model through user feedback and historical user feedback; and analyzing the long-term trend of the historical user feedback and the model parameters of the adaptive response strategy generation model after multiple times of optimization, performing global optimization in combination with the long-term trend, and generating a final response strategy. The method and the device can be excellently expressed in a complex user service scene.

The invention relates to the technical field of power system control, in particular to an intelligent low-voltage power distribution network interconnection control method and system. The method comprises the following steps: collecting low-distribution voltage network region and node data, and preprocessing the data; a low-voltage power distribution network system is divided into a global optimization layer, a regional coordination layer and an equipment control layer, the global optimization layer generates a global optimization instruction, the regional coordination layer realizes power distribution and voltage regulation in a region through a regional controller, the equipment control layer monitors node operation state information in real time and feeds back the information, and the node operation state information is determined based on a state detection result. And making a control strategy. Through the intelligent control and optimization technology, the real-time monitoring and dynamic adjustment of the power distribution network are realized, and the efficient and stable operation of the power grid is ensured. The multi-level control architecture is adopted, the power grid is finely managed on different levels, and the overall performance of the system is improved. The operation efficiency and reliability of a power grid are improved, and the requirements of a modern power system are met.

The invention relates to the technical field of silo grain storage engineering, and particularly discloses a construction process of a conical silo top of a large-diameter squat silo, which comprises the following steps: step 1, lifting a steel truss to a height not lower than the mounting position of a bracket, and then fixedly mounting the bracket on an embedded threaded pipe on a silo wall; secondly, a supporting plate of the bracket is fixedly connected with a stress plate fixed to the radiation beam through a bolt; wherein a plurality of mounting holes are formed in the supporting plate of the bracket, a plurality of matching holes are formed in the stress plate, fixed connection is achieved by inserting bolts into the mounting holes and the matching holes, and the mounting holes and / or the lap joint holes are adjusting holes. And thirdly, formworks are installed on the steel trusses, steel bars are bundled, then the silo top is poured, and during pouring, according to the principle of first bottom and then top, the lower ring beam connected with the silo wall is poured firstly, then the conical shell is poured, and finally the center of the silo top is poured. The scheme is used for solving the problems that disassembly is time-consuming and secondary utilization is affected due to welding of the steel truss and the bracket at present.

The invention discloses a mine equipment control system and method, and relates to the technical field of camping mine equipment control, and the method comprises the following steps: during the operation period of a crusher, obtaining various parameter information generated in the crushing process of the crusher in real time, including vibration response characteristics and energy transfer and dissipation characteristics; according to the method, the vibration response characteristics and the energy transfer characteristics of the crusher are obtained in real time, intelligent analysis is carried out in combination with a machine learning model, the system can efficiently recognize abnormal states and dynamically classify the abnormal states into accidental or non-accidental anomalies, and shutdown and false alarms are reduced. For accidental abnormity, the system automatically adjusts parameters to return to normal; and for non-accidental abnormity, the system triggers early warning and carries out maintenance, so that further damage is avoided. According to the method, the service life, the operation efficiency and the automation level of equipment are improved, and the maintenance cost and the sudden failure risk are reduced.

The invention belongs to the technical field of power switch cabinets, and particularly provides a switch cabinet with a stroke measurement function, which comprises a cabinet body, a handcart, a stroke measurement assembly and an attitude detection assembly, and is characterized in that the stroke measurement assembly comprises a first range finder and a current detector, the first range finder is arranged on the handcart, and the current detector is arranged on the handcart; and the current detector is connected between the moving contact mechanism and the bus. And the handcart is pushed forwards until the current detector is electrified, and the distance S1 measured by the first range finder is recorded. The handcart continues to be pushed until the handcart reaches a preset working position, the distance S2 measured by the first distance meter is recorded, and the difference between the two distances is the contact stroke of the contact. According to the invention, the stroke measurement assembly can measure the contact stroke of the contact, and the attitude detection assembly can detect the position attitude of the moving contact mechanism, so that the problem of poor contact of the contact can be found and processed in time, the frequency and cost of equipment overhaul and maintenance can be reduced, and the operation stability of a power grid can be improved.

The invention discloses a transformer state monitoring method and system based on voiceprint perception and a medium, and the method comprises the following steps: collecting a sound wave signal and a vibration signal of a transformer, carrying out the preprocessing of the collected signals, and carrying out the feature extraction; converting the obtained signal into frequency domain information, and detecting and marking an abnormal value in the signal; the method comprises the following steps: constructing a T-Manba model, and training the Mamba model by using known signal data of a transformer in a normal operation state; and inputting the obtained data into the trained Mamba model, and identifying the abnormal state of the transformer. According to the invention, real-time monitoring and diagnosis of the operation state of the transformer are realized through sound analysis, automation and intelligentization of state monitoring of the transformer are realized, and real-time and accurate monitoring and diagnosis of the operation state of the transformer are provided.

The utility model discloses a copper bar welding fixing device which comprises a supporting assembly, a fixing assembly and a first locking assembly, the supporting assembly comprises a plurality of vertical rods and a frame arranged on the tops of the vertical rods, and a plurality of transverse rods used for bearing copper bars are arranged on the frame in the length direction of the frame at intervals; the fixing assembly comprises a pressing plate movably connected to the frame, and the pressing plate is used for abutting against the multiple copper bars at the same time to fix the multiple copper bars. The first locking assembly is arranged on the frame, the first locking assembly is used for locking the pressing plate and the frame and enabling the pressing plate to abut against the multiple copper bars at the same time, and the copper bar welding device has the advantages that under the action of the first locking assembly, the pressing plate can fix the multiple copper bars to the transverse rod at the same time, and therefore the multiple copper bars can be welded at the same time; the frequency of fixing and adjusting the copper bar is reduced, and the production efficiency and the production quality are improved.