Design And Inplementation Of Shaky Removal Fire Positioning System Based On Geographic Imformation System

In recent years, with the growth of world population, forest resources arebecoming more and more precious. More industrial production need to use the forestresources. But forest fire will cause irreparable loss because of long regenerationcycle of forest. Therefore, it is very necessary to develop a high reliability andaccurate positioning forest fire monitoring system.At present domestic forest region using the forest fire monitoring system basedon GIS, the basic working princip le is to detect forest pictures and obtain thedirection of fire. However, because of the distortion error of camera and the badenvironment influencing the observation tower, the traditional forest fire monitoringsystem cannot make accurate position of forest fire. The existing position error willcause lower efficiency of putting out and searching the fire under the influence ofterrain of the forest. Therefore, it is the key to use the corresponding imageprocessing technology, in order to improve the positioning accuracy.The paper introduces the project background, the importance of the project andthe basic situation of forest fire monitoring system both at home and abroad. Andthen the current main problems of domestic forest fire detection system areanalyzing.In the second chapter, this paper introduced some techniques which are used inthe fire position system, including geographic information system, digital elevationmodel and the algorithms of using digital elevation model to position fire, theoptical model of camera and some commonly used fault tolerance technologies inthe design of system.In the third chapter, the shaky removal forest fire position system which isdeveloped by FPGA and Nios II is described, including the basic function of eachmodule and the overall architecture. The corresponding fault-tolerant design isconsidered in the process of design system. In addition, the communication protocolbetween the back-end control center and the front-end acquisition node is designed,including the frame type and frame content.The fourth chapter is the focus of this article, and this chapter proposes theprocess of position algorithm, including the image threshold segmentation, image erosion, feature extraction, excluding isolated fuzzy point. Fina lly the rest fuzzyfeature point is conducted by corresponding cluster analysis algorithm, in order toobtain the fire of the pixel information and finish fire point positioning.In the fifth chapter, the space geographic model is set up by using mathematicaltool MATLAB. And then the performance of shaky removal forest fire positionsystem is simulated in the simulation platform programmed by MATLAB. Theposition error of the system can be known by using position algorithm which is usedon the hardware platform.Finally, this article summarizes and the algorithm decreases the position error;the skill of aiming to center also decreases the position error.