The Data Visualization Presentation And Implementation Technologies In Mine Ground Disaster Monitoring

Infographics has been widely applied to assist users to analyze data in thenetwork media, financial and business intelligence, and other fields, and foundthat it contains. Typical monitoring data visualization mainly adopts time-displacement curveto visual expression ofmonitoring data, can effectivelyreflectthe change trend of monitoring data, but lack of monitoring data to the descriptionof the spatial location and regional overall monitoring data, expression isrelatively single. Using real-time sensor data information figure expression studyis geographic information services is a hot research problem, it can provideintuitive and efficient, highlight, form rich visual graphics, the mine grounddisaster monitoring has an important meaning and function.The paper analyses and summarizes the research present situation of datavisualization in the domestic and foreign, Expounds the implementation ofinformation graph technology，that laid a certain technical foundation for thisarticle. From the meaning of Infographics, the visualization expression ofInfographics and the design of Infographics, interpret the basic theory ofInfographics. Based on the basis of monitoring data types and visual complexityanalysis the Infographics of monitoring data in detail, Including displacementcurve, histogram, scatter plot, the basic information such as instrument paneldiagram, point map plotting, strength figure, multipoint data points, such asdynamic figure and contour, contour interval, deformation data field, multiple relationship map, regional clustering information figure data information.Analyzed the Canvas, the Dojo, information such as the implementationtechnology, geographic information service technology laid a certain technicalfoundation for this article. Summary the Infographics technology method toImplementation visualization tools.Through different graphic elements and visual features to distinguishbetween different types of disaster emergency events. Based on data visualizationexpression process to monitor the direction of the data stream as the main line,from the selection of monitoring results data sets, monitoring data visualizationmapping and expression, monitoring data visualization view selection andinteractive detailed analysis to establish monitoring methods of data visualizationexpression.Using the Entity-Relationship (E-R) model to analysis the monitoring data’sstructure in a detail. Aim at the three morphology which the points arestabilization, continuous deformation, mutations, analysis monitoring data’sstatistical characteristics of the center trends, the distribution and the similarcharacteristics. Based on the data visualization expression process, take thedirection of the data stream as the main line, and establish the visual expressionmethod from the selection of monitoring results data sets, monitoring datavisualization mapping and expression, monitoring data visualization viewselection and interaction analysis in a detail.The paper analyses monitoring data sources and the method of dataconversion technology. From the application of technology system structure,function design, the structure of the field monitoring data visualization programrealization method.According to the monitoring data and event information havethe characteristics of geographical spatial attribute, elaborate how to convert thedata to a JavaScript program processing standard format of GIS information,named GeoJSON format data, and analyzes the corresponding transformation method.Then publishing the mine high resolution remote sensing image, functionpartition and the geographic grid geographic data as the map service. Explaininghow to use the JavaScript scripting language to call the map service. Using theDojoframework wasdesigned anddeveloped areaoveralldeformation heatmaps.Expoundstheoverallregionaldeformationintensitymapimplementationprocess,and analyze the monitoring data by day, week, month and year in the form of hotchart overall regional deformation monitoring data.