73results about How to "Realize visual display" patented technology

The invention relates to a data access method and system of an intelligent Internet of Things gateway. The method comprises the following steps: performing feature matching and protocol identification on a plurality of sensors and terminal equipment connected to the intelligent Internet of Things gateway by using an equipment feature library to obtain an equipment protocol type; analyzing the original data to obtain standardized data; performing encryption processing to obtain an encrypted security data packet and an encrypted session key; performing multi-factor transmission channel selection to obtain an optimal transmission channel combination; and based on the optimal transmission channel combination, sending the encrypted security data packet to the Internet of Things platform, verifying the received data confirmation information based on a consensus algorithm, and outputting a data access state report through a data visual interface and an AI voice assistant. The processing strategy can be dynamically adjusted according to the equipment characteristics, the data characteristics and the network environment, and the flexibility and adaptability of the system are improved.

The invention provides a compressor air system management and control system based on an Internet of Things smart cloud platform. The compressor air system management and control system comprises an edge computing unit, the smart cloud platform and an intelligent terminal. And the edge calculation unit collects the operation parameters of the compressor in real time through the Internet of Things sensor, processes the collected data, generates preprocessed data, and executes a high-priority local quick response control task. And the smart cloud platform receives the data uploaded by the edge computing unit, performs fault prediction on the running state of the compressor by using a neural network model, dynamically calculates and optimizes running parameters, and sends an optimization result to the edge computing unit to execute adjustment. The intelligent terminal interacts with the intelligent cloud platform and the edge computing unit to display the real-time operation state and the fault prediction result of the compressor; in an emergency, the intelligent terminal cooperates with the edge computing unit through direct communication to execute localized emergency management. The operation efficiency, the fault response capability and the energy consumption optimization level of the compressor system are improved.

The invention relates to the technical field of wind resource assessment and wind power plant optimization, and discloses a multi-source information fusion measurement system combining laser radar data and wind resource assessment, and the system comprises a data collection module which is used for collecting laser radar data, synthetic aperture radar data, numerical weather forecast data and ground weather station data; the data preprocessing module is used for carrying out noise filtering, time alignment, space alignment and data calibration on the collected data; the information fusion module is used for dynamically fusing the preprocessed multi-source data and outputting high-precision wind speed and turbulence characteristic distribution; and the wind field modeling and prediction module is used for constructing a dynamic three-dimensional wind field based on the fusion data and performing short-time wind speed prediction. Through multi-source data deep fusion, dynamic wind field modeling and intelligent optimization modules, the comprehensive effects of high-precision wind field evaluation, nonlinear wind speed prediction and fan layout global optimization are achieved.

The invention relates to the technical field of water traffic safety supervision, and particularly discloses a water traffic safety risk grading management and control system and method, and the system comprises a data collection and processing module, a risk judgment module, and a risk grading management and control module. The data acquisition and processing module is used for acquiring and preprocessing risk data; the risk judgment module is used for carrying out risk level judgment on the preprocessed risk data to obtain a risk level judgment result; the risk grading management and control module is used for constructing a risk grading management and control measure library, and performing automatic matching of management and control measures in the risk grading management and control measure library based on a risk grade judgment result to obtain risk management and control measures; and transmitting the risk level judgment result and the risk management and control measures to different institution users. The system provides relatively objective and accurate risk level judgment rules, supports risk information level management and control, and supports collaborative linkage of the risk information among different users.

The invention discloses a coal mine carbon emission prediction method and system based on digital twinning and LSTM, and the method comprises the steps: building a carbon emission source information coding standard based on a business demand and a digital twinning model of a mining area in combination with a production link and an auxiliary production link of the mining area; performing carbon emission edge calculation on the carbon emission energy consumption data of the carbon emission source by using a coal mine carbon emission accounting method to obtain carbon emission data; establishing a corresponding mapping relation between the coal mine digital twinborn model and a database of carbon edge computing equipment by utilizing a carbon emission source information coding standard; according to the mapping relation, mapping the carbon emission data of each link to a coal mine digital twinborn model one by one; and establishing a carbon emission prediction model by using an LSTM algorithm, inputting historical actual carbon emission data into the model, and predicting carbon emission data of the current day. According to the method, the current carbon emission situation of each link of coal mine production and auxiliary production can be known, the carbon emission trend of each emission point is mastered in real time, and the emission reduction strength of enterprise energy-saving measures is quantified.

The invention discloses an energy-saving and carbon-reducing control method based on AI intelligent assistance and a comprehensive management platform, and the method comprises the steps: obtaining the energy-saving data of each piece of equipment in real time, and calculating the carbon emission of each piece of equipment according to each piece of energy-saving data; a carbon emission plan and a characteristic curve of each device are obtained, and the optimal carbon emission of the target factory is determined; determining a target electric energy distribution plan of each device of the target factory in a future preset time period according to the optimal carbon emission; receiving planned execution data of each device, and calculating the actual carbon emission and the actual carbon saving amount of each device according to the planned execution data and the carbon emission of each device; and according to each equipment ID and the corresponding actual carbon emission and actual carbon saving amount, newly adding the attribute of the data object of each equipment in the data twinborn model of the target factory, so as to display the actual carbon saving amount and actual carbon emission amount of each equipment of the target factory in real time through the data object in the data twinborn model in the data twinborn module.

The invention discloses a flexible pressure monitoring system for hip replacement surgery, and belongs to the technical field of biomedical instruments. The flexible pressure monitoring system comprises a flexible front-end signal acquisition module, a rear-end signal processing module and an upper computer system, the flexible front-end signal acquisition module is connected with the rear-end signal processing module, and the rear-end signal processing module is connected with the upper computer system; the flexible front-end signal acquisition module comprises a flexible pressure sensor, and the flexible pressure sensor is arranged at a hip joint; the flexible pressure sensor comprises a flexible substrate, an electrode layer, a spacing layer, a sensitive layer and a packaging layer. According to the flexible pressure monitoring system, the uncertainty that the operation effect is judged only according to experience in the hip joint replacement operation process is made up, clear pressure distribution at the hip joint in the operation process can be provided for surgeons, and objective mechanical data are provided for selection and adaptation of prostheses.

The invention discloses an implementation supervision method and system for an industrial project, a medium and a program product, and relates to the field of Internet data services, and the method comprises the steps: determining an associated project corresponding to a new project according to the project data of the new project; monitoring the process progress of the new project in real time, and determining the approval efficiency of the new project; when the approval efficiency is lower than a preset efficiency threshold value, determining a current process of the new project and an associated process of an associated project corresponding to the current process; when the approval confirmation time of the current process exceeds the historical approval time of the associated process, generating an approval delay report; and sending the approval delay report to the user terminal. By implementing the method, the project approval processing efficiency can be improved.

The invention relates to the technical field of logistics management, in particular to an in-transit supervision method for large-size transportation on an expressway. The method comprises the following steps: acquiring transportation speed data and transportation vibration data; carrying out transportation speed feature extraction on the transportation speed data to obtain transportation speed feature data, and carrying out transportation vibration feature extraction on the transportation vibration data to obtain transportation vibration feature data; performing feature map construction on the transportation speed feature data and the transportation vibration feature data to obtain transportation speed vibration feature map data; abrupt change feature collection and change degree extraction are carried out according to the transportation speed vibration feature map data, and transportation abrupt change feature data and transportation change degree data are obtained so as to carry out large piece transportation anomaly detection operation. According to the invention, the safety and the management level of the large-piece transportation process are effectively improved.

The invention discloses a direct connection unit electricity carbon sensitivity analysis method, system and device and a storage medium, and the method comprises the steps: building a power grid full-amount topological graph model based on a graph database, and carrying out the simplification of the power grid full-amount topological graph model, and obtaining a power grid power supply relation graph model, and calculating the total power supply power of the target station and the dynamic electrical carbon sensitivity of the direct connection unit of the target station based on the power grid power supply relation graph model, and visually displaying the dynamic electrical carbon sensitivity. According to the method, the incidence relation between the topological structure of the power grid and the nodes is considered, and the electric carbon sensitivity of the direct connection unit is defined as the product of the ratio of the power of the direct connection unit to the total power of the target station and the unit carbon emission coefficient dynamically updated through real-time metering. The method can dynamically evaluate the influence degree of the direct-connected unit on the station carbon emission, so that the method can preferentially replace the direct-connected unit to maximize the carbon reduction effect. Compared with a traditional method, the processing speed and efficiency of the graph calculation technology and the power grid power supply relation graph model constructed in a simplified mode are obviously improved.

The invention discloses a business data chart generation method and device, electronic equipment and a storage medium, and relates to the technical field of data processing or other related fields, the method comprises the following steps: receiving a data processing demand, the data processing demand being a chart generation demand for target business data, the target business data comprises static data and / or dynamic data; inputting the data processing demand into the target model, and outputting a data processing code and a task configuration file; compiling the data processing code to obtain a data processing task, and deploying the task configuration file and the data processing task to a real-time data processing platform; and running the data processing task based on the task configuration file in the real-time data processing platform, and generating a target display chart of the target business data. According to the invention, the technical problem of low efficiency of visualized display of real-time business data in a business data chart display method in the related art is solved.

The invention relates to the technical field of intelligent aviation oil systems, and discloses an intelligent aviation oil filter separator pressure difference acquisition and analysis system, which expands an intelligent refueling system in combination with pressure difference electronization, realizes pressure difference electronization, supports automatic reading of pressure difference, can realize pressure difference real-time monitoring through system sampling analysis during working, and improves the working efficiency. Normality of a pressure difference value is automatically judged, an alarm is given for abnormal pressure difference, intelligent analysis and visual display of the pressure difference can be achieved, the conditions of pressure difference value abnormity and pressure difference change abnormity are automatically evaluated, alarm is given, equipment management and control and decision-making capacity is improved, maintenance and management of the filter can be achieved through maintenance and management of the filter in the later period, and the maintenance efficiency of the filter is improved. Through function expansion of the scheme, the efficiency and accuracy of pressure difference collection of the filter can be greatly improved, the accuracy and timeliness of pressure difference monitoring and early warning are ensured, and the intelligence and automation level of an intelligent refueling system is further improved.

The invention belongs to the technical field of a DCS (Distributed Control System) of a nuclear power plant, aims to solve the problems of poor data quality of DCS multi-source heterogeneous data, serious metadata missing, difficulty in data sharing, complexity in user data access and the like, and discloses a multi-source heterogeneous data visualization method for a data warehouse of the DCS of the nuclear power plant. According to the method, metadata management, data source configuration, PASS tenant selection, data large-screen display and the like are carried out. According to the invention, the quality of data related to DCS equipment is improved, unified management and visual display of multi-source heterogeneous data are realized, a convenient and efficient data query and analysis platform is provided for business personnel, the state of a data warehouse can be monitored and mastered in real time, and the operation management level of a nuclear power plant is improved.

An RFID modeling method for virtual simulation in a warehousing and logistics environment is used. On the Twinbricks digital simulation platform, digital modeling is performed on the RFID reader and electronic tag to generate a digital twin for virtual simulation; multiple embedded RFID readers are simulated and constructed on the Proteus software, and data is exchanged with the Twinbricks simulation platform reader twin, and data is monitored in real time to simulate the actual production site to obtain real-time data of products on the production line; the background system interacts with the simulation controller, updates the database product status data in real time, and records product historical data; the staff uses the data management control front desk to view the operating status of different production lines in real time, manually optimizes the production status, and systematically analyzes the data for optimization and tuning, generates the optimal solution, and feeds it back to the simulation platform to optimize the production status. This method realizes the simulation of RFID equipment in a warehousing and logistics environment, and completes the simulation and tuning of the production line on the virtual simulation platform.

The invention discloses a recycled concrete intelligent sink promotion platform based on a waste-free city, and relates to the technical field of environmental protection material promotion platforms, the recycled concrete intelligent sink promotion platform comprises a main body game model, a numerical simulation module, a sustainable development evaluation module, a decision result visualization module and an information sharing module, the subject game model and numerical simulation module receives parameters and data through a data line and executes corresponding calculation and simulation, the decision result visualization module visually presents results of the game model and numerical simulation through an interactive interface, and the sustainable development evaluation module interacts with the information sharing module. Through the subject game model, multi-party cooperation and win-win are realized, resource allocation and decision are optimized, technical innovation and industrial upgrading are promoted, the problems of economy, technical bottleneck, low market cognition degree and policy and standard deficiency are solved, and powerful support is provided for popularization and application of recycled concrete.

The application discloses a kind of network unmanned aerial vehicle inspection achievement automatic back transmission and defect identification method, it is related to power distribution network inspection technical field.The purpose is to solve the problems of low efficiency, fault response lag, data transmission without security and defect identification relying on artificial in traditional manual inspection.The method comprises: unmanned vehicle carries unmanned aerial vehicle and hangar drives to parking point, unmanned aerial vehicle takes off and carries out inspection and collects achievement data;After unmanned aerial vehicle returns, unmanned aerial vehicle platform processes and transmits achievement data to unmanned aerial vehicle management platform;Management platform uses AI image recognition technology to identify defects in data, generates identification results;Finally, management platform synchronizes identification results to power grid digital brain platform, and is associated with equipment operating state storage.The application realizes the full-process automation and intelligentization of distribution network inspection, greatly improves the inspection efficiency and the accuracy of data processing, optimizes the fault response mechanism, and provides strong support for the intelligent operation and maintenance of distribution network line.

The invention relates to the technical field of cyberspace surveying and mapping data processing, and discloses a cyberspace surveying and mapping element formalized modeling system and method, and the system comprises an information object IP address identification generation module, an information object data processing software and hardware information acquisition module, and a transmission network object information acquisition and visual display module. Generating space surveying and mapping result parameters of the time-space network of the information object by combining a preset earth surface geographic space model and the space coordinate parameters with an intelligent recognition algorithm; information object time-space cyberspace surveying and mapping result parameters are visually displayed through a display screen according to the time point sequence and the geographic space, and time and space visual display of the data processing process of the information object cyberspace surveying and mapping element formalized modeling process and the geographic space position is achieved.

The invention provides a test system and a test method for water vapor migration in a soil freezing and thawing process, and the test system is provided with a soil sample loading device, a refrigeration system, a water supplementing system, a traffic load simulation system, an air pressure control system and a data analysis system. The influence of contact water replenishing, non-contact water replenishing and non-water replenishing on water vapor migration in the one-dimensional freezing and thawing process of the soil can be realized; the influence of different temperatures and different freezing times on water vapor migration in the soil freezing and thawing process is researched by adjusting the temperature and the freezing time of the refrigerating device; by adjusting the frequency and the size of the output load, the influence of the traffic load effect on the water vapor migration of the soil body in the soil freezing and thawing process is researched. The device is simple, and research and visual display of the influence of soil moisture migration under different water replenishing conditions, freezing and thawing temperatures, freezing and thawing time and traffic load conditions can be realized.

The present invention relates to an upper limb rehabilitation training system based on virtual reality, and relates to the field of medical rehabilitation, and includes: an upper limb motion data acquisition module, a target mode selection module, a motion posture generation module, and a motion posture display module; the target mode selection module is used to select an upper limb teaching action mode from a plurality of preset upper limb teaching action modes as a target mode; the upper limb motion data acquisition module is used to collect the upper limb motion data of a trainee, and send the collected upper limb motion data to the motion posture generation module; the motion posture generation module is used to generate the motion posture of the trainee according to the upper limb motion data; the motion posture display module is used to display the upper limb teaching action corresponding to the target mode, and the motion posture display module is also used to virtually display the upper limb action of the trainee according to the motion posture of the trainee, and synchronously display the upper limb teaching action corresponding to the target mode. The present invention reduces the cost of rehabilitation training.

The present application relates to the technical field of limited space safety management, and particularly relates to a limited space import and export state intelligent supervision system and method, which comprises an intelligent lock module, an authorization control module, a state monitoring module, a data transmission module and a cloud platform management module; the intelligent lock module controls the opening and closing state of the import and export, the authorization control module configures the lock opening permission, authorization validity and operation frequency limit, the state monitoring module collects the lock opening and closing state, lock opening operation record and equipment operation parameter in real time, the data transmission module realizes the data interaction between the intelligent lock module and the cloud platform management module, and the cloud platform management module has the functions of permission configuration, state visual monitoring, abnormal alarm, operation record storage and traceability analysis; the system solves the technical problems of large supervision blind area, information lag, inaccurate authorization and untraceable state in the traditional limited space import and export management, realizes the whole-process digital management and control of the import and export state, and improves the safety coefficient of limited space operation.

The invention relates to a ground penetrating radar detection data processing system and method, electronic equipment and a medium. The system comprises a data acquisition module used for acquiring original detection data sent by a ground penetrating radar; the data transmission module is used for safely and quickly transmitting the original detection data acquired by the data acquisition module to the data processing module; the data processing module is used for identifying and analyzing the original detection data; the pipeline display module is used for drawing a pipeline according to a result obtained by analysis of the data processing module and performing visual display; and the data storage module is used for safely storing the data. According to the scheme provided by the invention, various underground pipelines can be detected through the ground penetrating radar, the detected data are subjected to surveying and mapping processing, the map is superposed to generate the pipeline map, and the pipeline map is stored, so that digital storage and visual display are realized, accurate and comprehensive pipeline information is provided for a user, and the user experience is improved. And the problem of underground pipeline damage caused by blind construction is reduced.

The invention discloses a multi-dimensional space visualization transformer equipment monitoring and early warning system, relates to the technical field of transformer equipment, and aims to solve the problem that more comprehensive monitoring and data early warning cannot be performed on a transformer. According to the invention, through coordinate axis confirmation and data type classification, the suitable chart type is selected to display the monitoring data, three-dimensional visualization of the data is realized, the visualization mode enables the data change trend and abnormal points to be clear at a glance, an operator is helped to rapidly understand and grasp the equipment state, and the operation efficiency is improved. And the target deployment transformer data after data fusion is imported into three-dimensional model software for scene creation, so that the direct display of the transformer equipment in a three-dimensional space is realized, the fastest transmission channel is automatically selected to ensure that the data can be quickly transmitted to a processing center from the equipment, the transmission delay is reduced, and the real-time response capability of the system is improved.

The invention relates to the technical field of metallurgy monitoring, and particularly provides a combustible toxic gas monitoring and early warning method and system, a terminal and a storage medium, and the method comprises the steps: building an equal-proportion digital model for a factory production line in advance, and generating a sensor identifier at a corresponding position of the digital model; acquiring the concentration of combustible toxic gas detected by a sensor, and if the concentration exceeds a preset concentration threshold value, setting a corresponding sensor identifier in the digital model as a warning color; according to the upstream and downstream relation of the sensor identifiers in the digital model, the local area of the model between the adjacent sensor identifiers set to be in the warning color is set to be in the warning color; acquiring a display interface image where the digital model is located, and identifying the display interface image by using a pre-trained neural network model to obtain an anomaly type; and sending early warning information to a corresponding early warning terminal based on a preset corresponding relationship between the abnormal type and the early warning terminal. According to the invention, the calculation amount is reduced and the monitoring efficiency is improved.

The invention belongs to the technical field of safety maintenance, and particularly relates to a predictive maintenance method and system for a bridge crane. The invention discloses a predictive maintenance method for a bridge crane. The method comprises the following steps: monitoring and collecting state data of the bridge crane in real time through a sensor, preprocessing each piece of data, and converting the data into time sequence data; in combination with a risk assessment and fault prediction model, according to historical data and current data, assessing the remaining service life, the fault occurrence probability and the health degree of each piece of equipment; performing quantitative evaluation on the monitoring result of the equipment by using a multi-parameter weighted scoring principle according to the state judgment evaluation model, and dividing the health state of the equipment according to a scoring result; and the evaluation result is displayed on the HMI in a chart form, and corresponding maintenance measures are sent to maintenance personnel for optimization according to the result. The operation state of the bridge crane is effectively monitored and evaluated, equipment faults are predicted and prevented, and the reliability and safety of the equipment are improved.

The invention discloses an extracorporeal shock wave treatment parameter generation method and system based on image semanteme, and the method comprises the following steps: S1, inputting an ultrasonic and / or X-ray image, and carrying out the preprocessing of the image; s2, image features are extracted, and focus information is analyzed; a lightweight medical image model, a multi-modal model and a clinical reasoning big language model are adopted, image features are converted into structured image features, and structured focus information is reasoned; s3, in-vitro shock wave treatment parameters are generated, and real-time compliance verification is carried out; and S4, visually displaying image labels, treatment parameters and compliance prompts. Therefore, through the collaborative architecture of the lightweight medical image model and the clinical reasoning large language model, the unstructured image is converted into the structured focus feature, the treatment parameter is generated, the treatment accuracy is improved, the double-image information can be fused, and the treatment parameter accuracy is further improved.

The invention discloses a safety management system based on an intelligent safety helmet, particularly relates to the field of intelligent safety helmets, and comprises an intelligent safety helmet terminal, an electronic fence module, a cloud data center and a mobile management terminal. According to the invention, through cooperation of the positioning module and the electronic fence, automatic and accurate attendance checking and regional compliance monitoring are realized; the wearing state of the safety helmet is monitored in real time through the human body induction sensor, and uncapping alarm is achieved; all data are uploaded to a cloud data center through the Internet of Things module for unified management and analysis, the problems that traditional manual attendance checking is low in efficiency, personnel positions and states cannot be monitored in real time, safety supervision is passively lagged and the like are solved, and active, intelligent and whole-process safety management of field operation personnel is achieved.

The invention discloses a smart city monitoring system based on digital twinning. The smart city monitoring system comprises a sensing module, an edge gateway, an Internet of Things platform and a local large model. The sensing module comprises a sensor module, a data acquisition system and a peripheral thermal insulation material; the edge gateway comprises an industrial computer and a communication module; the microcomputer can communicate with the data acquisition box to obtain the environment temperature and the water temperature, and the ice layer thickness is obtained by establishing a mathematical model; the Internet of Things platform performs bidirectional interaction with the edge gateway through an MQTT protocol, is integrated with a data visualization module, can display the pipeline icing process in a three-dimensional manner, and dynamically displays the thickness of an ice layer; and the local large model can perform bidirectional data interaction with the Internet of Things platform to obtain pipeline physical parameters, environment temperature, ice layer thickness and pipeline pressure, so that prediction of the stress state of the pipeline is realized, and finally intelligent operation and maintenance of the urban pipe network are realized.

The invention provides a brain region association display method and device, equipment and a storage medium. The method comprises the steps that a segmented image representing brain region space information is displayed; displaying segmented images obtained by segmenting each brain region; in response to an input operation of a user, determining a target spot corresponding to the input operation and a target spot position of the target spot, the target spot being a brain region corresponding to the input operation; determining each related brain region of the target spot, connection information of the target spot and each related brain region, and a brain region position of each related brain region; and based on the position of the target spot, the connection information and the brain region position of each related brain region, displaying the target spot and each related brain region on the segmented image in an associated manner. According to the embodiment of the invention, the connection information of the related brain region related to the target spot is determined and displayed, so that the neural signal conduction path is visually displayed.

The present invention provides a bioaerosol scene simulation system based on artificial intelligence, which relates to the field of aerosol detection technology, including: a constraint relationship determination module, which is used to perform inter-class interaction analysis and intra-class multiphase flow motion analysis to determine motion constraint relationships; a fitting field construction module, which is used to construct a fitting field; a simulation scene construction module, which is used to build a visual simulation scene; a diffusion behavior analysis module, which is used to perform motion diffusion behavior analysis based on fluid mechanics to determine the first scene simulation data; a scene simulation switching module, which is used to perform scene simulation switching and analysis to determine the second scene simulation data; a simulation result determination module, which is used to determine the scene simulation result. The present invention solves the technical problems that the prior art is difficult to accurately simulate the complex dynamic behavior of bioaerosols, and is difficult to meet the simulation requirements under different demand scenarios, resulting in poor simulation accuracy and operability.

The invention discloses a GIM analysis method and system based on a Cesium platform. Relates to the technical field of building information model systems. Comprising the following steps: step 1), importing a file in a. Gim format in a Cesium platform; (2), a GIM analysis plug-in is loaded in the Cesium engine; 3) decompressing the GIM file to obtain parameter information, including header information, primitive information and fixed point information; 4) obtaining a GIM type according to the header information, constructing an engineering hierarchical relationship in combination with a GIM standard, and traversing the engineering hierarchical relationship; 5) according to the fixed point information, superposing the matrix relationship of each level to obtain a rendering position; according to the GIM three-dimensional model rendering method based on the Cerium engine, the operation efficiency is improved, and reliable conditions are provided for deepening application of GIM achievements in the stages of power grid project design, construction, operation and maintenance and the like.