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

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 181-182)
• Pages: 1064-1068
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.181-182.1064
• Online since: January 2011
• Authors: Ming Tang Liu, Li Bin Fu, Yan Hui Xin, Li Li
• Keywords: Capacitive Differential Pressure, Data Fusion, Least-Square Method (LSM), PLC Design, Sediment Concentration

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DOI: 10.25103/jestr.073.14