Study Of The Information Fusion In Measuring The Sediment In Flow-water By Capacitive Sensor

Measuring the sediment is one of the important questions in the sediment question research. In which the sediment concentration is a parameter that must be measured . Presently, the means of drying and weighing the sediment liquor are usually used to measure the sediment concentration in many countries. But this method is not only taking time but also strenuosity. This is becoming a question which must be solved urgently in sediment measuring and studying. This paper tries to use the capacitive method to measure sediment concentration in flow-water and use the self-regulating capacitance sensor to carry experimentation in order to study a way and technology used to measure the sediment concentration in a nicety - speediness and on-line way. The contents and results of this paper as follow:1. The paper ascertained the response characteristic of the capacitive senser is linear. The sediment concentration from 0 to 800kg/m3 measured by capacitive sensor is demarcated.2. Usually,there is cross responses in common sensors. The sensor in the paper has also with the character. In order to ensure the interferefering factor, the examination of the temperature effect, the earth kind, the saline earth are done in the paper. The conclusion that the temperature is the main effect factor is gotten from the examination. The effect of temperature from 0 to 45 C to the sensor is also measured in the paper.3. In order to eliminate the effect of the temperature and to advance the precision of the sensor, the method based on curl suface is used to fusion the information. The fusing result indicate that the precision of the sensor is improved.4. The method based on artificial neural network has also been used to fusion the information. The fusing result indicate that the precision of the sensor is improved 96 times. Comparing the two fusion ways, the latter is used in the measuring system.5. In course of training the network, the structure of the network has been analysed. Using the nonlinear theory, the node of the hidden layer is ascertained. By comparing this method is very efficient.6. Software for measuring the sediment was developed by using of Visual Basic. It has a friendly interface and can be used in on-line measuring.