Application of Data Fusion Based on Least Squares in Sediment Concentration Data Processing

摘要

In the process of measuring the sediment concentration in flow-water, the temperature in the water will greatly influence the output of the capacitive differential pressure sensor. This paper uses least squares method to fuse the results of experiment to eliminate influence of the temperature and depth. The system uses value of the capacitive differential pressure sensor, the temperature sensor and the depth sensor as input. This paper particularly introduces principle of the least squares method, PLC hardware design and multi-channels data fusion technology. The results indicate that data fusion method based least squares can obtain accurate and steady outputs.