54results about How to "Realize visual analysis" patented technology

The invention belongs to the field of physical experiment equipment of petroleum and natural gas exploitation, and particularly relates to a heterogeneous reservoir water injection commingling interlayer disturbance simulation system. The system comprises a constant-flux pump, a plurality of containers, a five-way valve, a core holding unit, an X-ray tube, a detector and a data processing and imaging system. The constant-flux pump is connected with the inlet of each container through pipelines; the inlet of the five-way valve is respectively connected with the outlet of each container through pipelines. A left sealing cover of the core holding unit is provided with an injection port, the right sealing cover of the core holding unit is provided with an output port, the inner sides of the left sealing cover and the right sealing cover are sequentially provided with a core end cap rubber mat, a core end cap and a sealing rubber mat from outside to inside, a plurality of circular holes are formed in the core end cap rubber mat, and the core end cap and the sealing rubber mat are provided with a plurality of layer chambers. A plurality of layers of heterogeneous reservoir slab models are arranged in a sealing rubber sleeve. The outlet of the five-way valve is connected with the injection port, and fluid passes through the output port and enters a measuring cylinder. The heterogeneous reservoir water injection commingling layer disturbance simulation system can reflect layer disturbance degree through the composition and size of liquid amount at the output end, and visualized analysis is achieved.

The invention provides a city space growth ring map making and analyzing method. The method comprises the steps of importing three-dimensional vector information data of a city into a geographic information system to form a map base map module; performing geographic information analysis of building distribution on buildings of different construction ages, performing city space growth ring history slice auto-correlation analysis on the basis of the geographic information analysis, superposing the analysis results and converting the results into contour lines, and establishing a city space growth ring three-dimensional analysis module based on the contour lines to form a city space growth ring analysis information module; establishing layers of different attributes for different objects of city space growth ring analysis information and city vector information, performing information data superposition according to geographic coordinates and displaying a city space growth ring map. The method correlates the city space growth ring analysis results and the geographic information, realizes geographic space demonstration of the city space growth ring analysis, can make thematic maps efficiently and conveniently, and can widely meet the current requirements of city planning and design engineering practices.

The invention discloses a GIS-based intelligent streetlamp management control system and a design method thereof. The system comprises a real-time monitoring module, a device archive module, a policy setting module, an alarm setting module, a maintenance management module, a vehicle management module, a statistical analysis module, and a user management module. According to the system and the design method, various management functions of a streetlamp can be enriched, and a running state of the streetlamp can be monitored in real time, so that the streetlamp management efficiency is improved, and the streetlamp power is saved while the time and labor are saved.

The invention relates to an elevator operating safety detection and early warning recognition system based on intelligent hardware. The system comprises an intelligent camera, a microphone, a loudspeaker and an emergency call button placed in a car, a wireless bridge, a computing unit, an acceleration sensor and an air pressure sensor placed on the top of the car, a photoelectric induction sensorplaced at a car door, a wireless bridge placed in an elevator machine room, a wireless bridge placed on the roof, a wireless bridge placed in a property office, a cloud server placed at the cloud endand any networked computers or mobile terminals, wherein a data processing module and an algorithm are arranged in the computing unit and the computing unit is connected to a cloud server through a network. The wireless bridge on the roof of the elevator, the wireless bridge of the machine room, the wireless bridge on the roof and the wireless bridge of the property office are wirelessly connectedto network and are connected to the cloud server for data interaction. The system provided by the invention has the advantage of being high in safety, low in cost, high in degree of intelligentization and convenient and stable.

The invention relates to the technical field of transfusion monitoring, and discloses a physician, nursing and pharmacy integrated omnibearing reasonable safety transfusion early-warning monitoring method. The method comprises the following flow: receiving a transfusion prescription and doctor advice information from a doctor work station, extracting pharmacy information, examination information and vital sign information from the prescription and doctor advice information; selecting a transfusion pharmacy knowledge base from a reasonable safety transfusion knowledge base rule base, wherein the reasonable transfusion pharmacy knowledge base comprises pharmacy rule information, clinic rule information, a medicine and pharmacy literature database and public prescription evaluation rule information. The method provided by the invention achieves the automatic screening and evaluation of the infusion reaction risks through the biochemical indexes of a patient, achieves the safety checking of a tool, achieves the marking and prompt of dripping speed, light avoiding and transfusion stable time, helps a nurse carry out the medication safety monitoring and take measures, and guarantees themedication safety.

Provided is a geo-environmental simulation and prediction platform for coupled geo-environmental elements. The platform comprises an infrastructure layer, a data layer, a supporting layer, an application layer and a presentation layer; the application layer comprises a basic module, a data management module, a data mining module, a subject analysis module, a regional analysis module and a compressive assessment module, wherein the basic module is used for serving as basic auxiliary of the simulation and prediction of typical regions; the data management module is used for the simulation of typical regional elements; the data mining module performs ground-object recognition, change detection, trajectory analysis, hot point detection and visualized analysis; the subject analysis module conducts geopolitical pattern analysis, geopolitical conflict analysis and geopolitical relation analysis; the regional analysis module analyzes specific regions; and the comprehensive assessment module conducts terrorist attack risk evaluation, armed conflict risk evaluation and geo-environmental risk comprehensive evaluation. The geo-environmental simulation and prediction platform for the coupled geo-environmental elements provides a set of visualized and visual analysis platforms for geo-environmental researchers, decision-makers and managers, and can assist the researchers in analysis and decision-making.

The invention discloses a deep learning characteristic visualization and model assessment method, and the method comprises the steps: inputting image data into a deep learning network model from an image database, carrying out the forwarding propagation of the inputted image data for one time through a convolution layer, a nonlinear layer and a pooling layer, and obtaining a classification result; calculating a characteristic pattern of a corresponding inputted image through a back propagation algorithm or a deconvolution algorithm or an LRP algorithm; carrying out the visualization analysis based on the characteristic pattern, and evaluating the deep learning network model.

The invention discloses a method for monitoring the dynamic height of overlying strata damage in underground coal seam mining, which specifically comprises the following steps of S1, selecting and customizing a mining overlying strata deformation monitoring sensing optical fiber, and calibrating the performance indexes of the sensing optical fiber; S2, analyzing the coupling effect and the deformation coordination of the optical fiber and a rock-soil body, and correspondingly optimizing the installation process of a drilling backfill material and the sensing optical fiber; and S3, establishinga coal seam mining overlying strata deformation damage distributed optical fiber monitoring system to monitor the dynamic height of overlying strata damage in underground coal seam mining. A coal mining overlying strata deformation damage dynamic monitoring method based on the distributed optical fiber sensing technology is established, a new method and a new technology are provided for coal development geological disaster prevention and control, an optical fiber- rock-soil body interface mechanical transmission model is constructed by analyzing sensing optical fiber-surrounding rock deformation consistency, a monitoring error range and a correction method are provided, and the problem of accurate monitoring of large deformation and discontinuity of a rock-soil body is solved.

The invention discloses a big data intelligent control bag-type dust collector optimization control method and system. The method comprises the following steps: S1, establishing a physical working model; S2, establishing a big data analysis model; S3, selecting an influence variable and environment information; S4, performing data analysis by utilizing the big data analysis model, and establishinga mathematical prediction model of a bag-type dust removal system; S5, solving a coupling optimal solution; and S6, carrying out visual representation. The system comprises a physical working model establishing module, a big data analysis model establishing module, an information screening module, a mathematical prediction model establishing module, an optimal solution calculating module and a visual representation module. Energy conservation and efficiency improvement of a bag-type dust removal system of a coal-fired power plant are taken as the research direction, an optimal scheme is provided for optimized operation of the bag-type dust removal system, the problem that pollutant emission is deeply reduced by equipment and energy consumption is high is solved, dust removal can be optimized, the utilization efficiency of dust removal equipment/system is improved, and the production cost is reduced.

The invention discloses a high-throughput single-cell genome 5-hydroxymethylpyrimidine single-molecule visual analysis method, belonging to the technical field of analytical chemistry. According to the invention, a microfluidic chip technology is utilized to obtain agarose gel microspheres wrapping a single-cell genome; and after single cells in the agarose gel microspheres are subjected to cracking treatment, each agarose gel microsphere wraps a single cell genome. Primers are marked on 5-hmC and 5-hmU of the single-cell genome through a specific chemical reaction; rolling circle amplification is then performed; a fluorescent probe is hybridized; and single-molecule visual analysis of modified bases 5-hmC and 5-hmU is achieved. According to the invention, a large amount of liquid drops can be formed in a short time through a microfluidic liquid drop method; the high-throughput agarose gel microspheres wrapping the single-cell genome are efficiently obtained; thus, analysis of a high-throughput single-cell target object is realized; the difference caused by cell heterogeneity is avoided; accurate detection is realized; and the reaction has the advantages of specificity, high yield,simple reaction conditions, high reaction speed and the like.

The invention discloses a visual analysis system based on mass documental information. The system comprises a data acquisition module, a data temporary storage base, a data processing module, a visualanalysis database and a visual analysis module, wherein the data acquisition module comprises a crawling unit, a classification unit and a querying and marking unit; the data temporary storage base is used for storing queried and marked documental information; the data processing module is used for scanning the documental information in the data temporary storage base and processing and analyzingthe scanned documental information; and the visual analysis database performs visual analysis according to an association analysis result to output a visual analysis result to a user. According to the system, by collecting, classifying and marking mass documental information and performing association analysis on keywords in the documental information and input keywords, a reliable reference basis is provided for visual analysis, it is convenient to effectively sort out mass documental information, visual analysis is realized, and a decision is provided for the user.

The invention provides a modeling method and system for a data analysis model, and relates to the field of data analysis modeling. The modeling method for the data analysis model comprises the following steps: obtaining a service demand and a data set set set by a user on a user interface; determining a corresponding time sequence prediction scene according to data characteristics of the data set, and determining a simulation data analysis target according to service requirements; determining a modeling strategy through the data characteristics and the corresponding time sequence prediction scene, selecting at least one analysis angle for the target, and analyzing the target through different angles; and constructing a data analysis and calculation model according to the modeling strategy and the target analysis result. Data visualization analysis modeling can be achieved, models generated by modeling are managed in a unified mode, the modeling workload is reduced, and the modeling efficiency and effectiveness are improved. In addition, the invention further provides the modeling system for the data analysis model. The modeling system comprises an acquisition module, a determination module, an analysis module and a construction module.

The invention discloses a multi-source heterogeneous intelligence convergence cooperative-processing platform based on content recognition, which comprises a basic environment layer, a data resources layer, a business processing layer and an application service layer, and is characterized in that the basic environment layer comprises a hardware support environment and a software support environment, and the hardware support environment comprises a distributed storage environment and a distributed computing environment; the data resources layer comprises map data, business data, full-text retrieval data, unstructured data, business processing intermediate data and business processing result data, and the data resources layer provides a unified data source and support for the business processing layer; the business processing layer comprises a multi-source data collection module, a preprocessing module and an automatic monitoring storage module; a large amount of data can have the searching, analyzing and exploring capacity conveniently, multi-dimensional intelligence query of units, types, time, hotspots, keywords and the like is supported, full-text searching is carried out on documents in nearly real time, and the full-text searching efficiency of the data is effectively improved.

The invention discloses an ocean temperature visual analysis method, an intelligent terminal and a storage medium. The method comprises the steps: acquiring ocean wind satellite data meeting preset conditions; analyzing the ocean wind satellite data, and calculating the position of a display area according to a rectangular imaging method; setting color changes for the sea surface temperatures of different areas, wherein the color changes are used for displaying the change trend of the sea temperature; drawing a rectangle, carrying out primitive pre-calculation and data merging, and carrying out visualized analysis on the ocean temperature according to a data processing result. According to the invention, the marine wind satellite data is collected by using the satellite data, the visual analysis of the marine temperature is realized, the marine temperature field only composed of massive vector information points is displayed in a smooth manner, reasonable transition is given, and excellent performance is ensured.

The invention belongs to the technical field of e-commerce, and discloses an e-commerce statistical system based on a cloud platform, which comprises an e-commerce statistical platform and a cloud server, the e-commerce statistics platform is carried on the cloud server, and a central processing unit and a database are arranged in the e-commerce statistics platform; the e-commerce statistical platform is used for collecting, processing, sorting, retrieving and calling the e-commerce data, and finally establishing a physical model and drawing and displaying images through statistical analysis;an enhanced firewall is programmed on the cloud server based on a software program; and the e-commerce statistics platform is connected with a second display screen. By arranging the data on the cloudplatform, overload of the system is well avoided, a text, voice and picture input mode can be adopted, and the application range of the system is expanded, so that various statistical analysis requirements are met; therefore, calculation and acquisition of various target data are realized, and great convenience is brought to use of workers; the analysis accuracy is improved, and the simulation analysis of the data is realized.

The invention relates to a method for detecting food-borne pathogenic bacteria based on a nucleic acid chromatography biosensing technology. The method comprises the following steps: screening out a high-specific virulence gene according to pathogenic bacteria, establishing a novel universal adaptor recombinant polymerase amplification technology, assembling a single strand nucleic acid chromatography test strip based on peptide nucleic acid, and establishing a universal adaptor blocking RPA biosensor detection technology based on functional nucleic acid. The method is applied to the on-site rapid detection of food-borne pathogenic bacteria, can efficiently capture single strand nucleic acid, improve the detection sensitivity and stability and realize visual detection.

The invention discloses an ecological environment health quality assessment method. The ecological environment health quality assessment method comprises the following steps that video data of a to-be-detected area is collected through an unmanned aerial vehicle; a map of the to-be-detected area is generated through a map generation module; a monitoring point distribution map and a robot walking path are generated based on an input monitoring target and the generated map of the to-be-detected area; the robot is adopted to complete the arrangement of monitoring devices at monitoring points based on the monitoring point distribution map and the robot walking path; the data of ecological environment parameters are collected based on the monitoring devices, and a wireless communication modulesends the parameter data to a monitoring terminal; and after the monitoring terminal receives the data and completes the preprocessing of the target data, real-time weather data mining on each weatherforecasting base station is performed through a network crawler module, the assessment of the current ecological environment is completed based on the completed pre-processed data and corresponding real-time weather data. The ecological environment health quality assessment method greatly improves the accuracy of the monitoring result, and is convenient to operate and high in flexibility.

The invention discloses a software network representation, storage and retrieval method of large complex software with constraint logic attribute. The method comprises the following steps: firstly, performing static analysis to obtain related information of packages, classes, methods, statements, variables, videos, audio, pictures and their relationships in open source object-oriented software; then, converting statement information into the constraint logic attribute in combination with the constraint logic theory, and establishing a software network model related to target software according to the extracted information in combination with the complex network theory; and storing the software network model in a Redis cluster by using an absolute path of a node of the software network model as a key and the edge as a value; retrieving information related to a to-be-analyzed keyword in the Redis cluster according to the to-be-analyzed keyword and an accessibility analysis algorithm; and finally, engraving global structure behavior information of the target software and local information of the to-be-analyzed keyword by using a visual tool.

The invention discloses a method for drawing a dam contour line based on a cubic interpolation method, which comprises the following steps of: selecting sections of a dam along a river direction and atransverse river direction as typical sections for measuring point prediction, establishing a finite element model of the dam in Hypermesh, performing grid division, and exporting grid node numbers and corresponding coordinate information of the typical sections; reading known measuring point coordinate information and measuring point measuring values of corresponding coordinates in a dam monitoring cloud platform database; based on a support vector machine algorithm, with the known measuring point coordinate information read from the dam monitoring cloud platform database as an independent variable and the measuring point measured value of the corresponding coordinate read from the dam monitoring cloud platform database as a target variable, performing nonlinear training; importing the parameters into the trained model, and solving predicted values of the corresponding nodes; drawing a monitoring point measured value contour line; and visualizing the drawn contour map.

The invention discloses a sponge city optimal layout and comprehensive benefit evaluation method, relates to the technical field of environmental engineering, and aims to solve the problems of relatively outstanding planning efficiency, poor planning accuracy and large planning effect error in existing sponge city planning. Decision variables selected by the project scientifically and reliably includea green roof area, a permeable pavement area, a concave green land area, a bioretention pond area, a grassed swale area and a rainwater garden area respectively; and the objective functions comprise an LID facility total construction cost function, a rainwater annual comprehensive runoff coefficient function and an LID system comprehensive pollutant control rate function. A decision maker can select decision schemes under different target preferences by comprehensively considering factors such as cost, water quantity and water quality according to main problems and contradictions in a transformation area, and a decision thought is provided for constructing various LID facilities according to local conditions.