TY  - EJOU
AU  - Li, Donghui 
AU  - Shen, Cong 
AU  - Dai, Xiaopeng 
AU  - Zhu, Xinghui 
AU  - Luo, Jian 
AU  - Li, Xueting 
AU  - Chen, Haiwen 
AU  - Liang, Zhiyao 

TI  - Research on Data Fusion of Adaptive Weighted Multi-Source Sensor
T2  - Computers, Materials \& Continua

PY  - 2019
VL  - 61
IS  - 3
SN  - 1546-2226

AB  - 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.
KW  - Adaptive weighting
KW  -  multi-source sensor
KW  -  data fusion
KW  -  loss of data processing
KW  -  grubbs elimination

DO  - 10.32604/cmc.2019.06354