36results about How to "Improve the level of visualization" patented technology

The invention relates to a management, induction and control system of urban traffic, which solves a problem of technology integration of a traffic signal control subsystem, a traffic induction display subsystem, a traffic monitoring subsystem and a mobile early-warning subsystem of the intelligent early-warning subsystem. The invention is characterized in that: a traffic database is in bidirectional connection with the traffic signal control subsystem, the traffic induction display subsystem, the traffic monitoring subsystem and the mobile early-warning subsystem and a traffic information issuing subsystem; and multi-source data fusion of detectors, which includes a microwave probe, a video probe, an ultrasonic probe, a geomagnetic coil, a wireless geomagnetic head, and a geomagnetic detecting head and the like. The beneficial effects are as follows: various data formats are converted into a format of a same standard; the share of traffic basic data and historical data is allowed; the levels of intellectualization, informatization and visualization of urban traffic management are improved; stop frequency is reduced, travel time is shortened, and discharge of automobile exhaust isreduced; and reliable guarantee is provided for energy conservation and travel safety.

The invention discloses a three-dimensional visual robot intelligent inspection system for a transformer substation. The system comprises an inspection robot, a data transmission device, a self-service charging device and a robot intelligent inspection system monitoring background. The inspection robot is used for collecting video image information of to-be-detected equipment and sending the acquired video image information to a robot intelligent inspection system monitoring background through a data transmission device; the data transmission device is used for uploading data acquired by the inspection robot and issuing control data of the robot intelligent inspection system monitoring background, the self-service charging device is used for an automatic charging function of the inspectionrobot, and the robot intelligent inspection system monitoring background is used for storing, analyzing and displaying inspection acquired data. According to the invention, the visualization level ofthe inspection system is improved, and the diagnosis early warning performance of the inspection system is improved through cooperation of the intelligent diagnosis process and the multi-source data.

The invention discloses a tunnel state detection, monitoring and management system, and the system comprises an acceptance detection module which processes the data at a key position of a tunnel so asto recognize a defect in the tunnel, and carries out the two-dimensional display on the processed data; a key monitoring module which is used for displaying the monitoring information of different monitoring objects obtained by monitoring the structure at the key monitoring position of the tunnel according to different display modes; and a tunnel visualization display module which is used for carrying out three-dimensional modeling on the tunnel by utilizing the relevant information of the tunnel subjected to disease monitoring, creating a three-dimensional model of the relevant diseases of the tunnel in real time, and displaying the three-dimensional model in a tunnel space according to the position coordinates of various diseases in the tunnel. The system can improve the informatization, intelligence and visualization level of a road network system.

The invention provides a policy file based secondary electric power equipment simulation modeling method. The method comprises: collecting equipment information, configuring a policy file for secondary equipment by utilizing a policy compiling program E language, and storing the policy file in a secondary equipment policy library, wherein the policy file is used for describing controls, object types and control logic relationships of the secondary equipment. The method provided by the invention realizes establishment of a hierarchical secondary equipment simulation model in simulation software and greatly improves building efficiency of simulation development personnel to a secondary equipment refined simulation model.

The invention provides a grid voltage monitoring and prediction system and method based on a geographic information system and belongs to the field of grid voltage monitoring technologies. The system comprises a basic information setting module, a map service module and a voltage monitoring and prediction module. The method includes the steps that monitoring data are preprocessed according to historical voltage data of a monitored object and current voltage monitor running status parameters; a voltage prediction model is established; according to the voltage prediction model, the voltage change trend of a monitoring point within future requested time is predicted, if the prediction result exceeds the upper limit range and the lower limit range of voltage of the monitoring point, an alarm prompt is displayed at the position, on a map view, of the monitoring point, and the alarm prompt is also displayed at a corresponding position of a thematic layer where a monitoring point administrative department to which the monitoring point belongs is located. Mapping of grid voltage monitoring and visualization of operating data are achieved, effective early warning is provided for grid voltage abnormities, and grid equipment can be conveniently adjusted, overhauled and scheduled before the abnormities occur.

The invention discloses a rice-wheat combine harvester and a swath detection device and detection method thereof. The rice-wheat combine harvester comprises the swath detection device; the swath detection device comprises a laser sensor, a signal collector and a vehicle-mounted monitor; the laser sensor is installed above a header of the rice-wheat combine harvester and used for acquiring the boundary of a harvested area and an unharvested area of the rice-wheat combine harvester and outputting distance and angle information of a measured object; the signal collector is installed on the rice-wheat combine harvester, connected with the laser sensor through a data bus and used for acquiring and sending distance and angle information data output by the laser sensor; the vehicle-mounted monitor is installed on the rice-wheat combine harvester, connected with the signal collector and used for completing processing, analyzing and displaying on signals sent by the signal collector and data storage. The invention further discloses the swath detection method of the swath detection device.

The invention discloses an indoor and field integrated system based on dam three-dimension forward intersection measurement. The system comprises field airborne software based on total station development and an indoor data processing and management system based on Windows system development, wherein the field airborne software comprises a survey station preparation module, a measurement learning module and an automatic measurement module; the indoor data processing and management system comprises a data transmission module, a data preprocessing module, a data adjustment module, a data management query module and an output module. The system has complete functions and a unique algorithm, and forms automated and integrated operation of data gathering, processing, management, analysis, mapping and outlet of dam appearance three-dimension forward intersection measurement. Compared with the prior art, the system has the advantages that the automation degree and the reliability are greatly improved compared with the traditional method, and the system not only improves the operation efficiency, but also reduces the operation intensity, and has applicability and generalization performance in the appearance measurement of similar dams at home and abroad.

The invention discloses a distribution network monitoring analysis and first-aid repair command method based on a power grid GIS. The distribution network monitoring analysis and first-aid repair command method comprises the steps that: 1, a main processor collects system information connected with an information interaction bus through the information interaction bus; 2, the main processor processes the gathered information, displays the processed information through a display, and inputs auxiliary information and control information through a keyboard, a mouse and scanner equipment; 3, the main processor processes the collected and received information, divides the collected and received information into production command information, power failure studying and judging information, first-aid repair command information and analysis decision information, and then transmits the information to the corresponding auxiliary processor for processing; 4, the auxiliary processor processes the received information and returns the processed information to the main processor to be displayed through the display, and the display content is controlled by the keyboard and the mouse; various kinds of detection information are integrated on the basis of an existing power grid GIS and a detection working module; unified detection management is achieved; first-aid repair steps are optimized; poor information is reduced; and the emergency response efficiency is reduced.

An internet of things perception method for furniture flexible production is provided; the furniture enterprise mechanization and industrialization level in our nation needs to develop; the internet of things perception method for furniture flexible production comprises the following steps: raw material storage information acquisition and process; material use and material cutting information acquisition and process; board material deep processing information acquisition and process; sorting and packaging information acquisition and process; transfer warehouse information acquisition and process; quality examination and reworking repair information acquisition and process. In a parts processing process, the method uses a digital mode to store information, thus reducing manual errors, and improving production efficiency; in a storage management process, the cargo warehouse in / out information can be updated in real time, thus automatically monitoring the stock, saving massive tedious examination and inventory works, and saving cargo inventory time.

The invention provides a full-automatic closed-loop detection method and device for an intelligent substation, and the method comprises the steps: comparing an SCD file of a detected substation with an equipment type data template file, so as to judge whether the configuration information of the detected substation is correct or not; When it is judged that the configuration information of the tested transformer substation is correct, analyzing the SCD file of the tested transformer substation and generating an SSD topological graph of the tested transformer substation; And acquiring a test item from a preset test item library based on the tested substation SSD topological graph, generating a test scheme of the tested substation, carrying out item test, and outputting a test result. According to the technical scheme provided by the invention, the problem that the visualization level is low due to the fact that an existing transformer substation closed-loop test cannot automatically formulate a test scheme is solved.

The invention belongs to the field of electric digital data processing, and particularly relates to a power distribution network power failure range positioning method, system and device and a medium. The method comprises the following steps: establishing an information interaction and data integration platform on the basis of an on-line power grid system; constructing a power grid topological structure according to the archive relationship, and forming a geographical wiring diagram in cooperation with the equipment coordinates; obtaining a user power failure event record in real time through an intelligent electric meter HPLC module; processing user power failure event record data; associating the user power failure event with the distribution transformer according to the user relationship, and analyzing the power failure range of the distribution transformer; and calling label adding and coloring API services, and carrying out positioning, power failure label labeling and highlight display on the distribution transformer and the distribution line in the geographical wiring diagram. Based on the HPLC technology, the granularity of power failure range analysis is reduced to be below a transformer area, the accuracy of power failure range analysis of the power distribution network is remarkably improved, intelligent analysis of the power failure range is achieved, and second-level identification of a single power failure event can be achieved.

The invention relates to a virtual experiment teaching platform based on Unity3D, which comprises a base, a notch, a stepping motor fixing base, an adjusting nut, a stepping motor, an encoder, an active synchronous pulley, a synchronous belt, a column, a cross beam, a sliding groove, a moving link, a sliding block, a position limiting switch, a control panel, a driven synchronous pulley mounting base and a driven synchronous pulley. The platform is characterized in that programs are edited in the control panel, and then virtual experiments are carried out; and after that, actual experiments are performed. The platform of the invention reduces the cost of laboratory teaching, increases the visualization degree of the experiments, improves the intelligent and visualization level of laboratory teaching, and facilitates the reform and development of laboratory teaching.

A drug traceability system provided by the present invention comprises a drug database, a production information management module, a quality information management module, a storage information management module, a sale information management module and a data terminal module, wherein the drug database is used for enterprises to upload the information of drugs to a server after the drugs are produced and adjust the drug information at any time, the production information management module is used to record the relevant information of the production equipment, the raw materials and the production technologies of the enterprises during a production process, the quality information management module is used to record the relevant information of the drug quality analysis and the quality control, the storage information management module is used to record the drug warehouse-in, warehouse shifting and warehouse-out relevant information, the sale information management module is used to record the relevant information during a drug sale process, and the data terminal module is used for the data pre-processing and the result query. The drug traceability system enables the visualization level of a drug supply chain to be enhanced and the drug traceability and product quality to be improved.

The invention discloses a material intelligent screening system which comprises a screening machine, fed material, oversize product and undersize product automatic taking systems, fed material, oversize product and undersize product particle size and weight intelligent analysis systems, a screening effect online intelligent analysis system and an intelligent dynamic regulation and control system.The fed material, oversize product and undersize product automatic taking devices automatically take fed materials, oversize products and undersize products in the screening process, the fed material,oversize product and undersize product particle size and weight intelligent analysis systems analyze particle size compositions of the fed materials, the oversize products and the undersize products,corresponding data are imported into the screening effect online intelligent analysis system, screening effect evaluation indexes are calculated and displayed on line and then fed back to the intelligent dynamic regulation and control system to carry out screening machine technological parameter self-adaptive dynamic regulation and control, and therefore efficient screening of materials is achieved. The system has the advantages of being high in intelligent degree, high in visualization level, high in working condition adaptability, large in processing capacity, low in failure rate, good in screening effect and the like.

The invention relates to a smart city embedded big data visualization engine cluster based on a video cloud platform. The engine cluster comprises a big data preprocessing engine, an industry flow feature extraction engine, an event flow feature extraction engine, a tool library optimization engine, a big data visualization deep learning and decision engine and a big data visualization drive engine, wherein the big data preprocessing engine is used for obtaining a big data visualization representation request and calling to-be-represented big data from a big data storage pool; the industry flow feature extraction engine is used for conducting industry flow feature extraction on the to-be-represented big data to obtain industry flow features of the to-be-represented big data; the event flow feature extraction engine is used for conducting event flow feature extraction on the to-be-represented big data to obtain event flow features of the to-be-represented big data; the tool library optimization engine is used for optimization of tool sets from a tool library; the big data visualization deep learning and decision engine is used for making a decision according to the obtained industry flow features, the obtained event flow features and the optimized tool sets to obtain a decision result; the big data visualization drive engine is used for transmitting the decision result to a large-size screen display driving system so that the decision result can be represented. The visualization level of big data is improved.

The invention discloses a scene fusion visualization method based on multiple geographic information platforms, the method comprising the following steps in detail: the upper scene and the lower sceneare fused and synchronized; the upper scene and the lower scene are fused and synchronized; connections are established to maintain the consistency of spatial analysis between the upper scenario andthe lower scenario; the scene is rendered by judging mechanism. The invention provides a scene fusion method based on multiple geographic information platforms to realize the fusion of scenes under aplurality of dimensions and platforms through a unified standard to achieve synchronous rendering and synchronous operation. The invention combines the single geographic scene with the digital earth,endows the spatial coordinate attribute of the geographic scene and improves the visualization level of the digital earth, realizes the diversification of the earth big data elements, and avoids the dependence of the WebGIS platform on the single geographic scene. Different scenarios can interact with each other to achieve the consistency of data representation and spatial analysis.

The invention discloses a power grid edge layout mapping method and device based on geographic information. The method comprises the following steps: determining the starting position of a power grid starting node for any power grid starting node in a power grid geographic information graph; according to the power grid starting node, determining any power distribution line taking the power grid starting node as a starting point and a power grid termination node of the power distribution line, and according to the power distribution line, determining a final position of the power grid termination node; according to the starting point position and the final point position, determining a shortest path between the starting point position and the final point position according to an A star path planning algorithm; and generating a power grid edge layout of the distribution line according to the shortest path. Therefore, the method can achieve the automatic generation of the power grid edge layout based on the geographic information, and improves the generation efficiency and accuracy of the edge layout.

The invention provides an automatic mapping method based on topological structure dynamic analysis, which comprises the step of acquiring a display equipment logic connection relationship from a database, and comprises the following steps of: dynamically calibrating a display area through four-point coordinates according to the size of an actual screen; performing row and column grid division in the display area by automatically searching the levels of the topological connection relationship and the types and the number of the devices contained in each level, and generating a topological connection relationship and automatically generating a corresponding graph through automatic calculation; setting the center coordinate of each switch as the center coordinate position of the unit grid according to the division of the display area and the number of the switches of the LL layer of the corresponding transformer area, and determining the coordinates of all the switches of the LL layer and the center coordinates of the grid in a one-to-one correspondence manner; automatically deducing the upper-level and lower-level coordinates of the corresponding coordinates of each switch of the LL layer according to the determined coordinates of each switch of the LL layer and the upper-level and lower-level relevance in the transformer area; and displaying the topological line based on four-point coordinate positioning.

The invention discloses an extraction method of an overhead line system wire abrasion area, and relates to the technical field of subway system overhead line system wire measurement in urban rail transit. According to the method, Direct3D software is used for image calculation acceleration, and a high-order shader language (HLSL) is used for pipeline coding of image calculation; image processing calculation is replaced by the GPU graphics card from a traditional CPU, the powerful image calculation capacity of the GPU is utilized, all cores are submitted to the GPU graphics card to work, the processing speed is greatly increased, the requirement for computer configuration is low, the method can be achieved through an integrated graphics card or an independent graphics card, and the calculation efficiency of extracting the abrasion area from the image can be greatly improved.

A policy file based simulation modeling method of power system secondary equipment is provided. The method comprises: collecting equipment information, configuring a policy file for secondary equipment using a policy compiling program E language, and saving the policy file in a secondary equipment policy library, wherein the policy file is used for describing the control, object type and control logical relationship of the secondary equipment. The method provided by the present invention realizes the building of a layering secondary equipment simulation model in simulation software and therefore greatly improves the building efficiency of simulation development personnel for a fine simulation model of secondary equipment.

The invention provides a vacuum high-speed image photographing system for ground separation and experiment carrying-out of a spacecraft component. The invention discloses the vacuum high-speed image photographing system for analog equipment in a vacuum environment. The vacuum high-speed image photographing system comprises the components of a high-speed image camera, a remote electric ternary variable lens, an airtightness protecting tool, an LED lamp array, a portable display device, electric connectors, etc. The image camera is a standard lens-interchangeable high-speed image camera. The remote electric ternary variable lens realizes remote operation capabilities of focal length adjustment and aperture focusing on a camera. The airtightness protecting tool satisfies an airtight function. The leakage rate of the airtightness protecting tool is lower than 10<-7>Pa*L / S. The LED lamp array is composed of a plurality of high-power LED lamps. A programmable power supply is used for controlling the LED lamps. A control terminal performs direct control and comprises a control computer and a lens control terminal. A requirement for remote control capability for various parameters of the camera and the lens can be satisfied. Furthermore a remote switching capability for the LED lamp is realized.

The invention discloses a visual electric power energy-saving system based on the Internet of Things and real-time electric power parameters. Comprising Internet of Things electrical equipment, an electric power parameter collection module, an electric power parameter analysis module, an electric power energy-saving calculation module, an Internet of Things electrical equipment opening module, an Internet of Things electrical equipment closing control module, a network instruction input, a hardware switch element, an Internet of Things electrical equipment power supply module and an electric power parameter visual display terminal. The electric power energy-saving calculation module calculates the quantitative indexes of the power utilization parameters, calculates the electrical equipment of the Internet of Things with the function overlapping degree, and transmits a closing instruction to the electrical equipment closing control module of the Internet of Things. And the Internet of Things electrical equipment with the calculated function overlapping degree is closed through the control connection between the Internet of Things electrical equipment closing control module and the Internet of Things electrical equipment, so that power waste caused by a plurality of Internet of Things terminal electrical equipment is avoided, and the effect of saving power is achieved.

The invention provides an endoscope with shape estimation and a disease online auxiliary diagnosis function. Based on an electromagnetic positioning principle, real-time three-dimensional shape display can be carried out on an endoscope section inserted into the body; and based on a computer monocular vision mode, real-time reconstruction is carried out on a lesion three-dimensional form in the endoscopy process, and online intelligent auxiliary judgment is carried out on the disease type, so that the visualization level of the deformation of an in-vivo endoscope insertion section and the disease form is improved. The endoscope with shape estimation and a disease online auxiliary diagnosis function comprises an endoscope body, a displayer, an endoscope processing system and an electromagnetic emission component; and the endoscope body, the electromagnetic emission component and the displayer are all connected to the endoscope processing system, the endoscope processing system generatesa three-dimensional reconstructed image according to the received two-dimensional image sent by the endoscope body, the three-dimensional reconstructed image is matched with standard case database information, and the disease type and the position result are judged according to the matching degree.

The invention discloses a power grid equipment bearing capacity evaluation result pushing method and system. The method comprises the steps: obtaining multi-source service system data in real time; performing monitoring capability evaluation and operation state evaluation on the equipment according to the corresponding indexes based on the multi-source service system data; calculating the equipment bearing capacity according to an evaluation result; carrying out permission configuration based on the monitoring responsibility range of the power grid regulation and control related specialty, carrying out hierarchical display mode configuration based on the composition structure of the power grid, and completing hierarchical pushing of the equipment bearing capacity result by fusing permission configuration and hierarchical display mode configuration. The method has the advantages that multi-source data is fused, the power grid equipment bearing capacity evaluation result is automaticallycalculated, the workload of manually checking the equipment operation state is reduced, and the safety level of power grid operation is improved; the working efficiency of personnel is improved; thevisualization level of the equipment bearing capacity result is improved, and a more focused display mode is provided for personnel of all levels.