期刊
CMC-COMPUTERS MATERIALS & CONTINUA
卷 61, 期 3, 页码 1217-1231出版社
TECH SCIENCE PRESS
DOI: 10.32604/cmc.2019.06354
关键词
Adaptive weighting; multi-source sensor; data fusion; loss of data processing; grubbs elimination
资金
- National Key Research and Development Project [2017YFD0301506]
- National Social Science Foundation [71774052]
- Hunan Education Department Scientific Research Project [17K044, 17A092]
Data fusion can effectively process multi-sensor information to obtain more accurate and reliable results than a single sensor. The data of water quality in the environment comes from different sensors, thus the data must be fused. In our research, self-adaptive weighted data fusion method is used to respectively integrate the data from the PH value, temperature, oxygen dissolved and NH3 concentration of water quality environment. Based on the fusion, the Grubbs method is used to detect the abnormal data so as to provide data support for estimation, prediction and early warning of the water quality.
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