| Applications of artificial intelligence technology to wastewater treatment fields in China |
| |
| 作者姓名： | QING Xiao-xia WANG Bo MENG De-tao |
| |
| 作者单位： | [1]Key Laboratory of the Three Gorges Reservoir Region＇s Eco-Environment Under the Ministiy of Education, Chongqing University, Chongqing 400030, P.R. China [2]College of Computer, Chongqing University, Chongqing 400030, P.R. China |
| |
| 基金项目： | Funded by the Natural Science Foundation of Chongqing City （No.2005BB7250） |
| |
| 摘 要： | 1 Introduction a Water pollution is quite severe in China. According to the statistical data of The Environmental Protection Ministry of China in 2003, the whole wastewater discharge came to 4.46 × 1014t all over the country. 46.2% in that were industrial wastewater and 53.8% were sewage. In 407 environmental monitoring sections of the seven main rivers of China in 2003, only 38.1% of the tested sections accorded with the the national water quality standard of Grade III, and 29.7% of the …
|
| 关 键 词： | 废水处理 人工智能 人工神经网络 智能控制 模糊控制 |
| 文章编号： | 1671-8224（2005）04-0213-05 |
| 收稿时间： | 2005-03-20 |
| 修稿时间： | 2005-10-18 |
Applications of artificial intelligence technology to wastewater treatment fields in China |
| |
| QING Xiao-xia WANG Bo MENG De-tao.Applications of artificial intelligence technology to wastewater treatment fields in China[J].Journal of Chongqing University,2005,4(4):213-217. |
| |
| Authors: | QING Xiao-xi WANG Bo MENG De-tao |
| |
| Abstract: | Current applications of artificial intelligence technology to wastewater treatment in China are summarized. Wastewater treatment plants use expert system mainly in the operation decision-making and fault diagnosis of system operation, use artificial neuron network for system modeling, water quality forecast and soft measure, and use fuzzy control technology for the intelligence control of wastewater treatment process. Finally, the main problems in applying artificial intelligence technology to wastewater treatment in China are analyzed. |
| |
| Keywords: | wastewater treatment artificial intelligence Artificial Neuron Network intelligent control fuzzy control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《重庆大学学报(英文版)》浏览原始摘要信息 |
| 点击此处可从《重庆大学学报(英文版)》下载免费的PDF全文 |
