| With the rapid development of economy,the urban population is rising rapidly,and the discharge of waste generated by human consumption is increasing rapidly.The problem of black odor in urban water is also rising sharply.In 2017,Jiangsu province listed water pollution as one of the top ten livelihood projects.In this context,I further analyzed the current situation of water quality monitoring station system by consulting the literature,using the latest sensor,SCM,GPRS and Java and other new programs,the formal completion of the monitoring program on the Internet of Things.First,the current analysis of China’s current situation,comprehensive current technical achievements,a reliable design scheme.Secondly,the hardware circuit of sensor data acquisition system based on ARM chip STM32F103 is introduced.Based on STM32F103 chip with the characteristics of multi-channel analog input,the system uses multi-channel sequential sampling technology to realize the acquisition and processing of sensor data.Moreover,the concrete principle and scheme of each circuit are discussed in detail.Then,the specific principle of M6312 system and the AT instruction set used are analyzed,and a more detailed design is carried out for the software scheme.This paper also designs a two-level data fusion model using adaptive weighted average algorithm and BP neural network to solve the problems of low quality early warning,false alarm and missing report.Firstly,the weighted average scheme is used to complete data fusion,which is a convenient,efficient and accurate data fusion algorithm,suitable for the preliminary fusion of water quality parameters;after the initial fusion values of each parameter are obtained,the BP neural network is used to analyze the data of different kinds of sensors,and the preliminary results of water quality early warning level evaluation are obtained.In the system implementation stage,this paper describes each related page based on Android technology app software,and tests some experimental data through relevant experiments.Finally,the experiment shows that the system design effect is good,has a certain practical application value,can realize the real-time monitoring of water environment quality,and can achieve early detection and early treatment,significantly improve the actual management efficiency,for the relevant functional organizations to provide reliable decision-making and management support,has a very significant guiding value. |