40results 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 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 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 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 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 utility model relates to the technical field of automobile spraying equipment discloses a color changing valve structure and robot atomizer, include: color changing valve body, color changing valve body is rectangular, cleaning structure, cleaning structure includes first cleaning part and second cleaning part, first cleaning part includes the first limiting groove of setting up in the inside of color changing valve body, the inside of first limiting groove is provided with color changing valve inner chamber, the inside of color changing valve inner chamber is provided with the feed hole groove, the inside of feed hole groove is provided with first piston plate, one end fixed mounting of first piston plate has first fixed round plate, two groups of cleaning brush plates are fixedly installed on the outer wall of first fixed round plate, the outer wall of cleaning brush plate is close to the inner wall of color changing valve inner chamber, reach the pigment of color changing valve inner wall residue and clean up, reduce the condition that pigment mixes, improve the convenience of device use, improve the quality of paint spraying, improve the paint spraying effect of automobile appearance.

The utility model discloses a precise mechanical part grabbing structure which comprises a supporting assembly, a rotary stretching assembly is fixedly installed on the top of the supporting assembly, an angle adjusting assembly is fixedly installed on the bottom face of the rotary stretching assembly, a telescopic assembly is fixedly installed on the bottom face of the angle adjusting assembly, and a clamping assembly is fixedly installed on the bottom face of the telescopic assembly. According to the device, the problems that an existing grabbing component cannot selectively fix the two ends of a machined product, and the product may slide off due to vibration and the like in the machining process are solved, a bottom supporting plate is arranged, and therefore the two ends of the machined product can be fixed through the bottom supporting plate; the auxiliary clamping device is simple in structure and convenient to use, can be effectively matched with a buffer clamp for use, is matched with product lifting during clamping, prevents downward displacement of a product caused by shaking or vibration during machining, accordingly, machining problems and untight machining are caused, and effectively plays a role in auxiliary clamping.

This invention provides a system status monitoring method, apparatus, computer equipment, and storage medium. The method includes: constructing a simulation environment based on environmental data, digital elevation model (DEM) data, and an equipment model; receiving data packets sent by a test device through the constructed data-driven model, the data packets carrying driving information; driving the equipment model in real time based on the driving information in the simulation environment, and outputting visualized operational data; and realizing status monitoring and alarm of the launch support system based on the visualized operational data. The technical solution provided by this invention utilizes digital twin technology to construct a simulation environment, perform driving and simulation analysis on the launch support system, output visualized operational data, and realize real-time status monitoring of the launch support system. Furthermore, it generates intuitive alarm information when the visualized operational data is outside the normal range, assisting in fault diagnosis and improving the intelligence, digitalization, and informatization level of the launch support monitoring system.

The invention provides a drilling cost parameter intelligent extraction method based on a natural language processing technology, and relates to the technical field of artificial intelligence and natural language processing, and the method comprises the steps: building a cost parameter standardized form, and carrying out the standardized definition of the form according to the requirements of a drilling project cost file; establishing a mapping relationship between the standardized parameters and scheme design contents, and forming a standardized form database model; an identification rule for data extraction is formulated, wherein the identification rule comprises inclusion relation matching and complete matching; keyword definitions are extracted, and professional keywords including well drilling, well logging, well logging, well cementation and the like are defined and recognized; performing traversal identification in the document; and carrying out framework extraction by adopting a keyword extraction model to realize extraction of cost parameters. According to the invention, through efficient and high-precision acquisition of estimation and budget calculation parameters, digital and intelligent development of cost business is promoted.

The application relates to the technical field of credit entry, in particular to a credit entry method and terminal equipment based on a smart contract, which comprises the following steps: S1, uploading credit proof materials, performing feature rough extraction on the credit proof materials to obtain rough recognition results; S2, matching the rough recognition results based on a preset certificate template library to extract key recognition results; S3, matching the key recognition results based on a smart contract deployed on a blockchain to obtain credit values; S4, performing hash calculation on the credit proof materials to obtain material hash values, and performing blockchain storage on the credit values and the corresponding material hash values to complete credit entry. Through the whole-process processing of credit material uploading, key information recognition and credit calculation to blockchain storage, the artificial input and time cost are greatly reduced, the efficiency, digitization and intelligentization of credit entry management are effectively improved, and the technical effect that the material storage is unalterable is achieved.

The present application is applicable to the field of gas supervision technology, and proposes a gas supervision system, including terminal equipment, intelligent Internet of Things security gateway and gas supervision platform connected in sequence; the terminal equipment is used to connect to the intelligent Internet of Things security gateway and upload the terminal equipment information data to the intelligent Internet of Things security gateway; the intelligent Internet of Things security gateway is used to encrypt and package the information data of the terminal equipment into encrypted data packets and upload the encrypted data packets to the gas supervision platform using the 5G network; the gas supervision platform includes an integrated smart gas management and control subsystem, a blockchain subsystem, an identity authentication subsystem and a timestamp subsystem; the present application utilizes identity authentication, cryptographic algorithms, blockchain, edge computing combined with 5G technology to ensure equipment safety issues, data security issues, real-time supervision and accident tracing issues in the gas supervision process, and effectively improves the automation, digitization, visualization and intelligence level of gas supervision.

The present invention discloses an automatic pressure-maintaining test method and system for hydraulic support seals, including a first hydraulic system for reversing and filling the extension and retraction of the tested jack, and a second hydraulic system for completing the automatic pressure-maintaining test of a rodless cavity or a rod cavity. When the large-flow system of the present invention completes the pressure-maintaining test, it can control the rapid reversal and filling of the jack; the small-flow system completes the pressure-maintaining test required by the test standard. The design of the dual hydraulic system pressure-maintaining test circuit, coupled with PLC control and computer interface, realizes the automation of the pressure-maintaining test, improves the tediousness of the test that usually relies on manual operation, shortens the pressure-maintaining test time, and the small-flow boost pressure-maintaining system provides extremely high test safety. The pressure-maintaining system can not only complete low-pressure and high-pressure pressure-maintaining tests at one time, but also complete step-shaped pressure-maintaining tests under different pressures at one time according to the test requirements. The control system can automatically generate test reports and test curves, with a very high degree of digitization and automation.

The invention provides a refining production process management and control system, method and equipment and a storage medium, and belongs to the field of refining process management. The system comprises a data acquisition module used for acquiring index data of a refining process; the key index data monitoring module is used for analyzing and managing the process index data to obtain a process analysis result; the alarm evaluation optimization module is used for evaluating and managing the alarm index data to obtain an alarm evaluation result; the control loop evaluation and diagnosis module is used for evaluating and optimizing the control loop index data to obtain a control loop evaluation result; and the evaluation module is used for determining the stability of the refining process based on the process analysis result, the alarm evaluation result and the control loop evaluation result. According to the invention, real-time monitoring, dynamic analysis and comprehensive research and judgment on the production process of the refinery enterprise device can be realized, and the method has a very positive effect on improving the stable operation level and automation, digitization and intelligence levels of the enterprise process.