An novel information fusion algorithm of multi-Agent water quality monitoring system
- SHEN Xiaojing, CHEN Ming, CHI Tao
JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE). 2014, 44(4):
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In the intensive freshwater aquaculture of Litopenaeus Vannamei, temperature, pH value, and non-ionic ammonium mass concentration are the three important factors to evaluate water quality. Based on the existing nonlinear coupling relationship among the three factors, the inner structure of water information fusion agent and a novel two-layer-information-fusion-algorithm were proposed. In the first layer of the fusion algorithm, a forward reasoning machine could infer whether or not the water quality factors are out of the standard range based on a rule base. In the sencond layer of the fusion algorithm, database searching and fixed step strategies were adopted to find the proper values of temperature and pH value based on the coupling relationship model of water quality factors. Then, the fusion algorithm adjusted the values of temperature, pH value, and non-ionic ammonium mass concentration to meet the aquaculture requirements. Experimental results showed that the proposed information fusion algorithm could adjust the aquaculture water quality effectively, and reduce the frequency of water exchange.