| With the development of society and economy, modernization of hydrological resources monitoring system is particularly important, however, the current hydrologic information monitoring technology is relatively backward, low level of automation, can not have satisfied the need of the hydrological resource information, networking, automation, etc. In this paper,based on the study of existing domestic hydrological monitoring technology,with making full use of sensor technology, wireless communication technology and electronics information technology to design an intelligent river monitoring system. The system is designed based on GPRS (General Packet Radio Service, General Packet Radio Service) network, which is more mature at the moment, as a communication bridge between the monitoring center and telemetry sites, combined with advanced microprocessor technology to monitor the river water level, water temperature, flow rate, and wind speed hydrological information, collecting and analysing the data and monitoring the river in real-time.Firstly, the domestic and foreign common wireless communication was researched, GPRS wireless network transmission scheme was selected by comparison and analysis a variety of transmission modes and combined with the basis of this paper which studyed, achieve a long-distance transmission of a hydrological data to monitoring terminal site.Secondly, the overall block diagram of the river intelligent monitoring system is proposed. On this basis, the hardware and software design of the system are introduced in detail. The river intelligent monitoring system consists of three parts:data collection terminal, GPRS wireless transmission module and the computer-monitoring center. The first part is designed to gather the status information of hydrological sensors in real time.The second part is designed to receive the data fromRS232serial port, and the information processing as a certain frame format, then the data was sent to the the monitoring center from GPRS network to the Internet. Computer-monitoring center receives data from internet,and display in real time by curve,then save in the hard disk in order to inquiry and print in the future.Finally, Recursive median average filtering algorithm and Kalman filter algorithm process several groups of level, temperature, flow rate, and the actual wind speed data which collected, The test results prove that the Kalman filter algorithm processed data closer to the true value, also shows that the reliability of the intelligence river monitoring system. |