Application of Data Mining Technology in Intelligent Environmental Protection Systems

作者：Gao Guikang^*; Xiao Mingbo; Wang Zhen

来源：International Conference on Artificial Intelligence - Technologies and Applications (ICAITA), 2016-01-24 to 2016-01-25.

• intelligent environmental protection
• data mining techniques
• association rules
• flue gas desulfurization monitor

Among the pollutants in the power industry emissions, sulfur dioxide so far has the most serious impact on the environment. In the desulfurization process, it is common to have data with complex correlations, high real-time, and huge amount. Data mining has become an important technique to deal with these data, and to facilitate better environmental protection and pollution control over the total emissions. The theme of this paper is to effectively analyze the correlation between data, via data mining technology and data association rules, to improve overall decision-making capabilities, and then to provide a reliable basis for intelligent environmental protection. In this paper, we propose parameters predictive model. We verify the proposed algorithms using actual monitoring data of desulfurization processes, and demonstrate that the application of the models has achieved good performance in desulfurization monitoring.

• 出版日期2016
• 单位杭州电子科技大学