Research on Water Quality Monitoring Section Optimization Based on Multi-agent Model
In order to conduct reasonable and effective water quality(WQ)section monitoring of lakes,water reservoirs,and rivers this paper presents a multi-agent model to optimize the WQ monitoring sections.First,the paper establishes a normalized matrix based on the original WQ monitoring data and from the data extracted principal/nonprincipal components as effective WQ features.Then,multi-WQ-agents model is built including comprehensive evaluation scores(CES)of principal/nonprincipal components in each WQ-agent and interaction rules of WQ-agents on the basis of the multiagent theory,in which the adjacent WQ-agents can be merged or split according to the similarity of CES.Therefore,the research realizes merge in the coarse segmentation of all WQ-agents,called as Agent#.On the condition that the number of Agent#s is smaller than the predefined threshold,the Agent#s would be spilt further in the fine segmentation,called as Agent*s.Finally,the central points of Agent* are selected as the measuring samples of WQ monitoring sections.The result shows that multiagent model can improve the monitoring quality,cut cost,and provides a creative measure of WQ monitoring section optimization.
Water quality monitoring Section optimization Multi-WQ-Agent model Coarse/fine segmentation
Sen Peng Xiaofeng Lian Xiaoyi Wang Jiping Xu
School of Computer and Information Engineering,Beijing Technology and Business University,Beijing 10048,China
国际会议
The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)
福州
英文
287-295
2015-05-08（万方平台首次上网日期，不代表论文的发表时间）