64results about How to "Improve digitization" patented technology

The invention provides a manufacturing-oriented test process digital twinning and dynamic optimization management method, which relates to the technical field of testing, and comprises the following steps of: acquiring real-time test data through a multi-source data acquisition device, and establishing a test process digital model; constructing a test process digital twin system; establishing a test process prediction model by using a deep learning algorithm; comparing and analyzing the real-time data and the prediction result, and identifying abnormity and optimization opportunities; generating and implementing a test process optimization scheme; and closed-loop optimization management is realized through feedback control. According to the method, the efficiency and quality of the test process are improved.

The invention provides an intelligent heat supply operation and maintenance scheduling system integrating inspection and repair. The intelligent heat supply operation and maintenance scheduling system comprises a monitoring data acquisition module used for acquiring temperature, flow and pressure data of a water supply end and a water return end; the real-time monitoring and early warning module is used for monitoring the running state of the heat supply pipe network in real time and quickly positioning the fault occurrence position; the intelligent routing inspection path planning module is used for planning an optimal routing inspection path according to the layout of the heat supply pipe network and the actual fault condition; the fault first-aid repair resource optimization configuration module is used for formulating a resource configuration strategy according to the planned optimal inspection path and the requirement of the maintenance task; and the user interaction and authority management module is used for providing a user interface, facilitating the operation and query of the user, and simultaneously sending a notification to the user in time to inform the maintenance progress and result. According to the invention, the optimal planning emergency repair route can be given according to the priority of the emergency repair task in combination with the actual condition of the road network, pipe network faults are efficiently eliminated, and the completion quality of the emergency repair task is improved.

The present invention provides a production control method and system for an intelligent clothing industry based on data analysis, which relates to the field of intelligent manufacturing technology, and includes: setting an intelligent data acquisition platform, collecting heterogeneous data for common feature extraction, generating a comprehensive data set, and constructing a digital twin model for clothing production; performing data extraction based on the comprehensive data set, generating triples and constructing a clothing production knowledge graph, constructing a clothing production data analysis model, extracting key features and determining implicit association rules, generating a cross-modal knowledge graph, identifying clothing production control rules, and solving clothing production control parameters; constructing a decision evaluation model to parse clothing production control parameters into production control decisions, perform evaluation, dynamically correct based on the evaluation results, obtain optimized production control decisions, send them to equipment terminals, adaptively optimize clothing production, collect real-time production data, update the clothing production digital twin model and the clothing production knowledge graph, and periodically optimize until the production task is completed.

The invention relates to the technical field of medical apparatuses and instruments, in particular to a medical apparatus and instrument state management system based on the Internet of Things technology, which can remotely monitor and manage medical equipment and medical consumables in the whole period. Through the combination of the equipment sensor, the Internet of Things platform and the mobile terminal application, medical equipment management personnel can know information such as the operation state, the energy consumption condition, the maintenance period and the operation time of the medical equipment in real time, meanwhile, preventive maintenance can be carried out, related faults can be handled in time, and the quality and efficiency of medical services are improved. By means of intelligent remote monitoring and management, information islands are eliminated, efficiency is improved, data unification and sharing among all systems and departments are achieved, and the purpose of conducting real-time remote monitoring and management on medical instruments in the whole period is achieved.

The invention relates to a digital twin model construction method and device of a converter station and computer equipment. The method comprises the following steps: processing a visible light image of a converter station by adopting a motion recovery structure model and a multi-view stereoscopic model to obtain dense point cloud data of the converter station; fusing the dense point cloud data and the laser scanning point cloud data of the converter station to obtain geometric point cloud data of the converter station; constructing a grid model of the converter station according to the geometric point cloud data; according to the visible light image and the grid model, obtaining a visible light texture mapping relation corresponding to the visible light image, and according to the visible light image, performing registration processing on other multi-source images of the converter station to obtain other texture mapping relations corresponding to the other multi-source images; and obtaining a multi-source texture digital twin model of the converter station according to the grid model, the visible light texture mapping relation and other texture mapping relations. By adopting the method, the precision of the digital twin model of the converter station can be improved.

The invention relates to the technical field of mechanical arm motion planning and digital twinning, in particular to a mechanical arm multi-target trajectory planning method and system based on digital twinning, and aims to solve the problems that during large-scale rapid disordered feeding, a mechanical arm continuously grabs and transports materials with high strength, and the working efficiency is high. In order to solve the problems of large start-stop impact, easy shaking, reduced production operation efficiency, shortened service life and the like in the prior art, a multi-objective function of efficiency, impact and energy consumption is solved through LNSGA-II, and a seven-order B spline curve is utilized to optimize a joint track of the mechanical arm, so that angular displacement, angular velocity and angular acceleration motion curves of multiple joints of the mechanical arm are smoother and more continuous, a servo motor can be protected, and the mechanical arm is more stable in operation. And a digital twin platform is built through an MATLAB-AppeliaSim entity mechanical arm, the trajectory planning model is applied to an actual operation task of the mechanical arm, the working condition of the mechanical arm is monitored, and a factory task scene is coped with.

The invention discloses a digital twin model evolution method and system based on constructional engineering. The invention relates to the technical field of constructional engineering. Related data of the long-distance water conveyance project are collected, wherein the related data comprise BIM model data, oblique photography three-dimensional model data and GIS data; meanwhile, the data are preprocessed, including format conversion, coordinate unification and denoising, so that the quality and consistency of the data are ensured. A three-dimensional BIM model of the engineering facility is constructed based on Autodesk Revit according to a design drawing and collected data, the facility and equipment in the BIM model are coded according to a KKS coding rule, and a coding database is updated; according to the method, the BIM model data, the oblique photography three-dimensional model data, the GIS data and other multi-source data are fused, a refined three-dimensional scene model is constructed, and comprehensive integration of engineering facility information is achieved. Therefore, data sharing and collaboration among different departments and professions are facilitated, and the overall working efficiency is improved.

The invention discloses a digital twinborn management system and method for a fine chemical engineering nitration process production process, the digital twinborn management system simulates a factory production area to establish a 1: 1 three-dimensional digital map, and a chemical plant area scene is visually presented in a platform, including factors such as buildings, roads, pipelines, dynamic equipment, static equipment, instruments and meters, raw materials and the like; the system comprises a signal acquisition module, a data analysis processing module, a valve and pump adjusting module, a safety early warning module and a network management module. According to the method, information such as actual operation conditions, process parameters and equipment states of a real factory is integrated and matched with the virtual digital model, so that real-time tracking, adjustment and optimization in the aspects of factory flow, equipment operation, process parameters, production capacity, quality monitoring and the like are realized, and the flexible production requirements of fine chemical engineering can be better met.

The invention discloses an aviation flight management method and device, a medium, equipment and a product. A preliminary flight plan is established according to acquired airplane data information; according to the preliminary flight calculation and the obtained flight opening plan, flight route planning is carried out; according to the take-off and landing airports of different routes in the flight route planning, determining a take-off standby landing field and a landing standby landing field which meet alternative conditions, and determining a standby landing result; according to the take-off standby landing fields and the landing standby landing fields of the different air routes in the flight route planning, aircraft performance indexes of the different air routes are measured and calculated; and performing flight operation evaluation according to the flight route plan, the standby landing result and the airplane performance index, and outputting the flight route plan passing the evaluation as a flight operation plan. The flight plane plan management efficiency can be remarkably improved, and the digital, integrated and intelligent level of flight pre-flight plan management is improved.

The invention discloses a multi-dimensional business control method based on an artificial intelligence technology, and the method comprises the steps: constructing an automatic business process through an RPA technology, and enabling the automatic business process to be used for processing a to-be-processed business. And when the original data of the to-be-processed service is the to-be-identified image, processing the original data in combination with an OCR technology. And when the original data are characters expressed by using a human natural language, processing the to-be-processed service in combination with an NLP technology. And establishing a business rule engine and a knowledge base, and processing the to-be-processed business in combination with the business rule engine and the knowledge base. According to the method, related business data can be efficiently collected and analyzed, a large amount of repeated, tedious, highly standardized and regular business work is automatically processed, the burden of employees is relieved, and the overall digitization and intelligentization of the business processing flow are improved from multiple dimensions.

The invention discloses a low-voltage transformer area branch relation checking method, which comprises the following steps of: acquiring current and voltage data of each user in the same transformer area, and recording a matching number between current and voltage effective value cross phases; according to the recorded matching number and the normalized association strength, constructing a voltage and current change association matrix between the users; according to the incidence matrix, constructing a distance matrix based on a Pearson correlation coefficient; using a DBSCAN clustering method to carry out clustering analysis on the user to obtain a preliminary user branch; the DBSCAN clustering result is fused with the minimum spanning tree, and user branch division is optimized; branch relation checking is conducted, a final branch division result is output, and the branch division result comprises normal branches and abnormal users. The invention further discloses a corresponding system. According to the method, the existing voltage and current data are utilized, and the DBSCAN clustering and the minimum spanning tree algorithm are combined, so that accurate identification and optimization of the branch relation are realized.

The invention discloses a full-rotation photovoltaic support capable of being adjusted digitally and intelligently, belongs to the technical field of photovoltaic supports, and can solve the problem that the power generation efficiency of a photovoltaic system is low due to the fact that the adjustment capacity of an existing photovoltaic support is limited. The photovoltaic support comprises a telescopic stand column arranged on the ground; the supporting frame is located above the telescopic stand columns; the bottom end of the rotatable stand column is connected to the top end of the telescopic stand column, and the top end of the rotatable stand column is rotationally connected with the bottom of the supporting frame and used for driving the supporting frame to rotate horizontally. The telescopic part is located on one side of the rotatable stand column, one end of the telescopic part is rotationally connected with the bottom of the supporting frame, the other end of the telescopic part is rotationally connected with the side wall of the rotatable stand column, and the telescopic part is used for driving the supporting frame to obliquely rotate in the telescopic process. The invention is used for installing the photovoltaic module.

The invention provides an efficient underground accurate delineation method for a steep dip thin and fine quartz vein type ore body, and belongs to the technical field of mine underground prospecting, and the scheme comprises the following steps: firstly, utilizing capital construction engineering and development engineering, preliminarily exposing the ore body, constructing a database in three-dimensional mining software, delineating the ore body at a time, and establishing an ore body three-dimensional model; different laser reflection spectral characteristics of targets with different colors are utilized, three-dimensional laser is used for scanning an ore body form and a roadway form, and an ore body model is updated by combining digital geological recording, mechanical sampling and secondary ore body delineating. Three-dimensional laser scanning, digital geological logging and mechanical sampling are fused, on the premise that expenditure and time are limited, the safety of underground operation and digitization of prospecting engineering achievements are improved, the ore body form and the spatial position are mastered more accurately, mining design is guided and optimized, precise implementation of mining is guaranteed, the mining engineering amount is reduced, digital energy saving is achieved, and the working efficiency is improved. The method belongs to a key technical new method for green low-carbon transformation industry development.

The invention discloses a super-large-span high-precision special-shaped structure construction monitoring method, equipment and a medium, relates to the technical field of image processing, and provides a building construction monitoring and optimization process based on a construction data model library and live image data. The actual situation of a construction site can be monitored more accurately, it is ensured that the construction precision, progress and quality conform to expectations, deep feature extraction can be conducted on the building framework point cloud segments through the feature extraction backbone network, the building framework point cloud segments are fused based on the extracted local features, more comprehensive overall features can be obtained, and the construction efficiency is improved. The extraction precision of the building structure is enhanced, the building framework generated according to the overall features is compared with the construction data model library, rod piece machining can be secondarily guided, the practicability and accuracy of the model library are improved, and the precision, efficiency and quality of building construction are improved.

The invention relates to the technical field of power distribution network power dispatching, and discloses a digital twinborn intelligent optimization dispatching system and method, which dynamically and accurately counts real-time power dispatching total power load parameters of a target power distribution network line power distribution end according to real-time demand power load parameters of a power distribution network user end in combination with numerical analysis. The power management platform is combined to efficiently and autonomously execute power dispatching operation of the power distribution end of the power distribution network; and according to the spatial three-dimensional model parameters of the overall line of the power distribution network, the power dispatching parameters and the three-dimensional model combination parameters of the power distribution terminal, and the power load parameters and the three-dimensional model combination parameters of the user terminal, carrying out dynamic matching on the power dispatching electrical variables of the power distribution terminal and the user terminal in the power distribution network line and the power distribution network line. The digital twinborn full-scene accurate matching of the power dispatching parameters and the power dispatching objects of the power distribution network is realized, and the scientificity and the intelligence of the power dispatching operation are improved.

The invention discloses a permanent-magnet direct-drive top drive and a power transmission system thereof, a permanent-magnet direct-drive top drive system and a power transmission system.The permanent-magnet direct-drive top drive system comprises a permanent-magnet direct-drive motor and a main shaft used for being connected with a drilling tool, the permanent-magnet direct-drive motor is provided with a rotor, and the rotor is connected with the main shaft through an expansion sleeve to transmit torque; the permanent magnet direct-drive top drive comprises a top drive monitoring group and the power transmission system, the top drive monitoring group comprises the transmission system monitoring group, and the top drive monitoring group is connected with the input end of the control assembly; the permanent magnet direct-drive top drive system comprises a guide rail assembly used for being installed on a derrick, a permanent magnet direct-drive top drive and the control assembly, and the permanent magnet direct-drive top drive is installed on the guide rail assembly. The device has the advantages of being smaller in size, lighter in weight and higher in efficiency; meanwhile, the top drive system can meet the requirements for high automation and intelligence of drilling operation.

The embodiment of the invention provides an intelligent construction comprehensive management system and method, and relates to the technical field of construction equipment comprehensive management, and the system comprises a data layer, a construction layer, a platform layer and a visualization layer. The data layer, the construction layer and the platform layer are in communication connection with one another through an edge computing gateway; wherein the data layer provides data support for model training in the construction layer; the construction layer provides a multi-modal fusion model for the platform layer; the platform layer performs intelligent scheduling of each module according to the multi-modal fusion model provided by the construction layer; and the visualization layer is connected with the platform layer according to an interface provided by the platform layer, and is used for controlling the platform layer and displaying information. According to the invention, the real-time data collected by the sensor and the camera is utilized to train the multi-modal fusion model, and the model is utilized to perform unified scheduling of the platform, so that the digitization, automation and intelligence of construction management are further enhanced.

This invention relates to an intelligent method and system for collecting reconnaissance data for power distribution network projects. The method includes: collecting real-time audio data, historical audio data, and geographic coordinate information from the reconnaissance site; constructing a dedicated corpus for power distribution network reconnaissance based on the historical audio data; fine-tuning a general reconnaissance speech recognition model using the dedicated corpus; inputting real-time audio data into the fine-tuned general reconnaissance speech recognition model to generate original reconnaissance text data; constructing a knowledge base for the power distribution network reconnaissance domain, performing domain matching on the original reconnaissance text data within the knowledge base to generate structured reconnaissance data that conforms to power distribution network projects; and fusing geographic coordinate information and the structured reconnaissance data to obtain a reconnaissance dataset with geographic coordinate location information.

The invention relates to the cross technical field of a computer information technology and a college management information system, and provides a college institution service intelligent response system fusing self-service questions and answers and task work orders. The system comprises a user interaction module, a self-service question and answer engine, a work order generation and distribution module, a background processing and feedback module and a service statistics and optimization module. According to the invention, an advanced natural language processing technology, knowledge graph construction and intelligent work order management are fused, so that a college institution service intelligent response system integrating self-service question answering and task work orders is constructed. The system not only realizes seamless access and efficient intelligent interaction of multiple channels and multiple terminals, but also ensures that various problems are timely and accurately processed through automatic classification, responsibility distribution and closed-loop management.

The invention discloses a CCUS production well yield metering method based on an oil well indicator diagram. The method comprises the steps that S1, CCUS production well data are collected; s2, solving a downhole pump indicator diagram according to the collected data; s3, establishing a downhole pump indicator diagram opening and closing point intelligent pickup model; s4, based on the pump opening and closing point calculation result, the pump effective stroke and the pump filling degree are calculated, the pump leakage amount, the plunger loss and the crude oil volume coefficient of the oil well pump are analyzed, and the CCUS well yield is obtained; s5, the obtained CCUS well yield is compared with the actual oil well yield, the pump indicator diagram conversion condition and the pump opening and closing piece picking condition are analyzed, if the accuracy in the pump indicator diagram conversion process is lower than a first threshold value, the step S2 is executed, and if the pump indicator diagram opening and closing point recognition effect is lower than a second threshold value, the step S3 is executed; and the precision requirement of oil well yield metering is met. According to the invention, the influence of noise, vibration and other external interference on yield metering is reduced, the yield metering precision is improved, and the digitization, intelligence and automation degrees of the metering process are improved.

The invention belongs to the technical field of building decoration construction, and particularly discloses a mold forming Lingnan grey sculpture relief building method based on AI generative design, which comprises the following steps: S1, preparing paper strip lime mortar test blocks and grass strip lime mortar test blocks, and testing material parameters; s2, model training: setting model training parameters for training and selecting a model; s3, designing and adjusting the grey sculpture relief: converting the grey sculpture relief into a 3D grey sculpture relief model, and carrying out stress analysis; s4, mold manufacturing; and S5, site construction. According to the mold forming Lingnan grey sculpture relief construction method based on the AI generative design, grey sculpture relief design is generated with the help of the pre-training model, material mechanics test optimization design is carried out, a mold is manufactured through the 3D printing process, construction is carried out, the design efficiency of traditional grey sculpture relief construction and repairing work is improved, and the construction cost is reduced. The personalized requirements of the user are better met, the safety of the gray plastic component is improved, the labor cost is saved, and meanwhile the dependence on the experience of the craftsman is reduced.

The present invention proposes a remote security management and control method supporting a local area network. The remote security management and control method connects the station-side equipment and the program to the same local area network through user creation of a ledger. When the equipment is running, the equipment sensor collects data, links the camera, and performs real-time image monitoring of the equipment. It also supports remote control of the equipment at the center end, thereby assisting in remote control of the entry and exit of important areas. During real-time monitoring of the system, an equipment ledger is established through relevant communication protocols, and the sensor data is fed back to the monitoring platform in real time, so that the platform can see the equipment status at a glance. At the same time, the monitoring platform performs in-depth statistical analysis of the data, discovers abnormalities in time, and issues alarm information, so as to achieve the purpose of timely handling hidden dangers. The remote security management and control method supporting a local area network has the characteristics of high data timeliness, diverse control means and easy maintenance, and is remotely controlled and convenient and fast.

The utility model discloses a low-voltage electric appliance digital control device for a mining explosion-proof trackless rubber-tyred vehicle, which comprises a mining explosion-proof and intrinsic safety type signal control box body, the mining explosion-proof and intrinsic safety type signal control box body is provided with an explosion-proof control cavity and an intrinsic safety wiring cavity, a signal control module is arranged in the explosion-proof control cavity, and an explosion-proof cable leading-in device is arranged outside the explosion-proof control cavity. The explosion-proof cable introducing device is used for introducing an explosion-proof cable of explosion- An intrinsic safety type connector is arranged on the intrinsic safety wiring cavity, and intrinsic safety cable butt joint of intrinsic safety associated equipment is achieved. The mining intrinsically safe display screen is connected with the intrinsically safe connector on the intrinsically safe wiring cavity through the intrinsically safe cable and used for displaying vehicle running state information. The mining intrinsic safety type display screen is used for digital display control, a driver can conveniently observe the running state of the current anti-explosion trackless rubber-tyred vehicle, driving information is directly controlled through the signal control module, the vehicle runs more safely, the man-machine interaction degree is high, operation is easy, and the operation difficulty of the driver is reduced.

The utility model discloses an intelligent ventilation control system for a transformer substation. The system comprises a control module, a sensor module, a fan power module and a communication module, the sensor module comprises a temperature sensor module, a wind speed sensor module, a wind pressure sensor module and a gas sensor module; the temperature sensor module, the wind speed sensor module, the wind pressure sensor module and the gas sensor module are connected with the control module based on the communication module; the fan power module comprises a PWM control module, the PWM control module is connected with the communication module, and a first PID operation module and a second PID operation module are arranged in the PWM control module. According to the utility model, through the multi-sensor data multi-source fusion technology and the PID control adjustment technology, intelligent control of the ventilation effect of the fan of the transformer substation is realized, the ventilation environment of the transformer substation is optimized, and the intelligent ventilation and heat dissipation efficiency of the transformer substation is improved.

The present invention provides a three-dimensional clothing design and plate making system and method, which belongs to the field of clothing intelligent engineering technology. The system includes: a three-dimensional space curve drawing pen, a visual positioning camera array, a server and an operation space; the visual positioning camera array includes a plurality of visual positioning cameras, and the plurality of visual positioning cameras are arranged around the center of the operation space at each oblique upper side, and each visual positioning camera is facing the direction of the center of the operation space; the three-dimensional space curve drawing pen and each visual positioning camera are connected to the server respectively. The present invention can realize the precise production of personalized clothing customized patterns for specific human bodies, directly draw from three-dimensional forms, and ensure the fit of clothing patterns. At the same time, the operator can control the distance from the clothing to the human body surface during the three-dimensional drawing process according to the plate making requirements to achieve the purpose of controlling the scaling amount, and directly generate a two-dimensional clothing pattern through the three-dimensional pattern surface, thereby improving the accuracy and fit of clothing customized pattern making.

The invention relates to an intelligent auxiliary decision-making system for nuclear power serious accident management, and the system comprises a serious accident main interface which simulates a containment monitoring index and triggers an alarm and an alarm prompt; the accident risk and parameter evaluation interface is used for quickly assisting in judging accident risks and estimating parameters; and the serious accident decision-making interface determines decision-making action content according to the decision-making action subitem selected by the user, and generates an electronic serious accident decision-making list based on the decision-making action subitem and the decision-making action content. According to the method, the corresponding sub-regulations can be automatically guided to carry out decision sub-regulation reference and construction of the electron flow decision-making list, so that the circulation time for drawing and executing the decision-making list is remarkably shortened, the decision-making efficiency of emergency personnel on serious accident disposal is improved, the problems that the execution efficiency is low due to too many paper SAMG programs, and human errors are easily caused are solved, and the safety of emergency personnel is improved. And the overall digital and intelligent level of the emergency command system is also improved.

The present invention discloses an intelligent control system and method for a hydrogen-oxygen generating device, belonging to the field of data intelligent analysis and control technology. The system includes: an operation data storage module, a digital analysis module, a time warning processing module and an intelligent control module; the output end of the operation data storage module is connected to the input end of the digital analysis module; the output end of the digital analysis module is connected to the input end of the time warning processing module; the output end of the time warning processing module is connected to the input end of the intelligent control module. The present invention can realize data analysis and processing of the electrolyte during the electrolysis process, replacing conventional manual experience settings or observations, reducing the failure rate of the electrolyte, and at the same time, considering the magnitude of the input, further improving the accuracy of the analysis results, and can increase the service life of the hydrogen-oxygen generating device, improve the user experience, and further improve the level of digitization and intelligence.

The application discloses a plasma-TIG integrated welding device capable of adjusting arc thermal power distribution, which comprises a plasma welding torch and a control circuit. The plasma welding torch comprises a plasma arc power supply, a high-frequency generator and a tungsten electrode; the plasma arc power supply is connected with the tungsten electrode through the high-frequency generator, and the tungsten electrode faces the workpiece directly; the control circuit comprises a dynamic push-pull device, and the dynamic push-pull device is connected with the tungsten electrode. The device improves the plasma welding circuit and the arc starting mode. When plasma welding is carried out, the dynamic push-pull device is used to make the tungsten electrode move downward before arc starting, the distance between the workpiece and the tungsten electrode is reduced, the arc is directly started with the workpiece, the dynamic push-pull device is used to make the tungsten electrode move upward after arc starting, and the tungsten electrode is recycled into the nozzle. Through the triple action of mechanical compression, thermal compression and magnetic compression, a stable constrained arc is formed, the plasma welding enters into a normal working state, and the conversion between the plasma welding and the TIG welding is realized.

The present invention relates to the field of photovoltaic power generation technology, and specifically to a method for investigating regional photovoltaic development potential based on drones, comprising the following steps: conducting drone aerial surveys, planning routes and deploying image control points; establishing a digital model of regional terrain; analyzing and modeling regional lighting conditions; determining a suitable scope for the construction of a photovoltaic power station in the region; and determining the potential photovoltaic resource development capacity of the region. The present invention solves the problems of single means, long cycle, and inaccuracy in investigating the potential photovoltaic development capacity in a large region, especially in a county, provincial or larger region, and achieves the goal of improving the quality and efficiency of the regional photovoltaic development potential investigation work. The drone technology is used to obtain real data of natural environment mapping with outstanding efficiency and advantages such as mobility, speed, digitization and intelligence, and improves the efficiency of the regional photovoltaic development potential investigation.

The invention discloses a capacitive voltage transformer metering performance online monitoring system and method. The system comprises a capacitive voltage transformer metering performance monitoring device, an acquisition terminal and a metering online monitoring platform. The capacitor voltage transformer metering performance monitoring device is used for collecting data information of a secondary side of a capacitor voltage transformer and carrying out data processing and calculation, wherein error evaluation is realized by constructing an EMD-LSTM neural network. The acquisition terminal actively uploads sampling data, evaluation data and abnormal event data to the metering online monitoring platform; and the metering online monitoring platform is used for realizing remote online monitoring, data display and data storage. According to the invention, online monitoring and state evaluation of the capacitor voltage transformer can be realized, real-time operation errors of the capacitor can be monitored on the premise that power failure is not needed and detection personnel do not need to be present, and directional power failure verification and operation and maintenance of the transformer can be guided according to a state evaluation result.