A Visualization System Based On Vertical Impermeable Membrane Detection

Now with the production of solid waste's increasing, it is essential to deal with solid waste. Because solid waste often contains a lot of toxic substances, heavy metals and chemical waste and other ingredients, Long-term heavy metal's diffusion will erosion layer of soil. Once it into the groundwater, water quality will undermine and endanger the health of residents. Therefore, the leak detection is essential.Visualization technology is developing rapidly and used in many fields, data generated in scientific computing which through geometry and color mapping, transparency, texture,structure and animation means to form the image of the graphic image to visually show.Visualization technology also enables cross-platform interactive processing of information.Therefore, in this paper, the visualization process visualization techniques are detecting vertical membrane impermeable membrane to realize detecting HDPE. Compared to traditional methods of detection, visualization technology can improve the efficiency and accuracy of the detection process, and the process will be seepage through visual leak detection results show the film intuitively clear.Existing HDPE film data collected interference data and leakage point positioning are not accurate, because HDPE film collected data analysis and processing, so as to achieve the removal of interference data retention vulnerability data purposes. Finally, HDPE film data,data visualization is completed detection process. The main work includes the following aspects:1, according to the characteristics of the data collected HDPE film, the first derivative values proposed method for removing data interference, to ensure the stability and reliability of the data of the sample data. The whole process will be subject to potential interference and increased vulnerability data to distinguish data, data retention vulnerability data to remove interference, to remove the global data interference edge data purposes.2, it is proposed to predict the location and method of leakage vulnerability,vulnerability to obtain regional data center by seeking maximum vulnerability, seeking to obtain a generally poor value method wide vulnerability edge of the region, and then by the range of data requirements eigenvalues, according to the characteristic values of the cluster analysis to determine the vulnerability of the region.3, it will leak detection technology for visualization of imaging data using visualization to analyze the processed data. The combination of MATLAB matrix operations and flexible three-dimensional imaging data correlation function, use file input and stored in the form of a grid specification for HDPE film imaging data for three-dimensional mesh specifications, 3D visualization effect HDPE film data.