Research status and prospect of the application of artificial intelligence in industrial park wastewater treatment
Environmental Engineering|更新时间:2024-11-22
|
Research status and prospect of the application of artificial intelligence in industrial park wastewater treatment
“In the field of industrial park wastewater treatment, the application of artificial intelligence technology has made significant progress, providing new tools to reduce system complexity and risk, and promoting the development of wastewater treatment technology.”
Journal of Civil and Environmental EngineeringVol. 46, Issue 6, Pages: 192-202(2024)
作者机构:
1.重庆市传感器产业园建设运营有限公司,重庆 400000
2.重庆大学 环境与生态学院,重庆 400045
作者简介:
ZHANG Tao (1986- ), senior engineer, main research interests: municipal and housing engineering technology research, investment construction operation management of industrial parks and EOD projects, E-mail: zhangtao151490@139.com.
ZHANG Tao,CHEN Youpeng.Research status and prospect of the application of artificial intelligence in industrial park wastewater treatment[J].Journal of Civil and Environmental Engineering,2024,46(06):192-202.
ZHANG Tao,CHEN Youpeng.Research status and prospect of the application of artificial intelligence in industrial park wastewater treatment[J].Journal of Civil and Environmental Engineering,2024,46(06):192-202. DOI: 10.11835/j.issn.2096-6717.2023.117.
Research status and prospect of the application of artificial intelligence in industrial park wastewater treatment
Review of Mn-based materials for phosphate removal
Review and prospect of machine learning method in shield tunnel construction
Representation of structural design specifications based on first-order predicate logic
Applied research status and prospects of artificial intelligence in civil engineering field
Related Author
ZHANG Tao
LIU Wenbo
HE Wentao
ZHAI Jun
SU Dong
CHEN Xiangsheng
ZENG Shiqi
HAN Wenlong
Related Institution
Chongqing SENSOR Industrial Park Construction and Operation Co. LTD
Institute for Smart City of Chongqing University in Liyang
深圳大学,深圳市地铁地下车站绿色高效智能建造重点实验室
深圳大学,滨海城市韧性基础设施教育部重点实验室
College of Civil and Transportation Engineering; b. Key Laboratory for Resilient Infrastructures of Coastal Cities (MOE); c. Shenzhen Key Laboratory of Green, Efficient and Intelligent Construction of Underground Metro Station, Shenzhen University