Spatio-Temporal Estimation And Visualization Method Of Sensory Data For Environmental Monitoring

Recently, with the rapid development of economy and society, the environmental pollution is increasingly serious, resulting in the stronger demand for environmental monitoring. In the practical environmental monitoring application, the real-time prediction of the variation trend of the environmental monitoring data and the visualization of sensory data could offer a better intuition and timeliness.In this thesis, we design and implement a spatio-temporal estimation and visualization system for the sensory data of environmental monitoring. Then we analyze the functional requirements and key technology of the environmental monitoring system, and generate the detailed design of implement scheme and specific module partition. Finally, we display the operation effect of each module. The study can be divided into two parts:spatio-temporal estimation of the sensory data and the visualization of the system. For the spatio-temporal estimation, the system makes time series prediction analysis with autoregressive model on the scalar data of the water quality monitoring, and uses thin plate spline function method to implement spatial interpolation of the scalar data. For the visualization, the system uses comprehensive methods including drawing scalar data trend line chart and displaying real-time node status and network topology with Baidu Map API.The results show that the spatio-temporal estimation and visualization system for the sensory data of the environmental monitoring in this thesis could synthetically display real-time environmental data from both time and space dimensions. The system can improve the intuition and timeliness of the environmental monitoring, and run stably for a long time.