Water Environment Remote Monitor And Data Management Based On Embedded System Internet Connecting And GIS

To improve the informationization of water environment supervision, this thesis proposes a system of water environment remote monitor and water quality data management which bases on embedded internet connecting technic and GIS (Global Information System). This thesis includes primarily embedded operation system, embedded TCP/IP stacks and GIS which are hot fields of computer technic in these years. To connect the water remote monitor terminal on internet, firstly this thesis research the achicticture of eCos which is an excellent open source RTOS(real time operation system), and resolves how to port eCos on the board of the terminal;then I add TCP/IP packages to eCos by adoping LwIP, which is very small and compeled TCP/IP stacks, especially suitable for embedded application. Both eCos and LwIP can make the development of application software simple and robustioust. Because the rivers are geographical objects, I use GIS to design the water environment information management and connect GIS with database. This thesis discusses the way how to built GIS by MapInfo series tools combined with VC or ASP( Vbscript). When the users open this software, they would see a beautiful digital map, rather than any input boxs. Users can get data they need by operate the digital map, and the data of water quality even can display on the digital map by charts or different colors. In the last chapter, I adopt BP neural network to forecast the water quality data. BP neural network is wildly used to water quality data forecast, but in this thesis, I give a different method to design network. By this method, BP neural network has strong causation between input and output data. This method can improve the veracity of forecasting. Besides, this BP neural network is even able to forecast the consequence of faculative water pollution. I hope all of these can do something to stop the depravation of water environment.