环境工程学报2025，Vol.19Issue(7)：1580-1588,9.DOI:10.12030/j.cjee.202405013
AI运维决策控制化工废水深度处理的运行效果中试应用
Pilot application on the operational effectiveness of AI operation and maintenance decision control for advanced treatment of chemical wastewater
摘要
Abstract
Under the background of"carbon peak and carbon neutral",it requires green and low-carbon transformation and upgrading in wastewater treatment,especially in the field of deep treatment of industrial wastewater,from pursuing the standard discharge to both pollution reduction and carbon reduction.Ozone oxidation is the mainstream process in its deep treatment.In actual operation,due to the fluctuation of water quality,it causes the artificial setting of higher operational safety boundaries,resulting in high carbon emission problems such as excessive ozone dosing.In recent years,artificial intelligence has been developing rapidly,which can carry out more precise control and management compared with manual control.In order to realize the demand of pollution reduction and carbon reduction in the deep treatment of high-salt chemical wastewater and combine with the existing wastewater treatment process applied in Industrial Wastewater Comprehensive Treatment Center of Lianyungang Petrochemical Industry Base,this study compared the operational effects of ozone oxidation deep treatment of high salt chemical wastewater through AI operation and maintenance decision control system and manual operation,and verified the reliability,safety,and stability of the AI O&M decision control system.The results showed that the AI O&M decision control system could precisely regulate the ozone dosage and achieve 20％savings in ozone operation cost compared with manual control while ensuring stable effluent compliance,which had strong technical and economic advantages and application prospects.关键词
人工智能/难降解工业废水/臭氧氧化/减污降碳Key words
artificial intelligence/refractory industrial wastewater/ozone oxidation/pollution reduction and carbon reduction分类
资源环境引用本文复制引用
江云,郭磊,郭慧,李纪元..AI运维决策控制化工废水深度处理的运行效果中试应用[J].环境工程学报,2025,19(7):1580-1588,9.基金项目
江苏省碳达峰碳中和科技创新专项资金(BE2022861) （BE2022861）
连云港市重点研发计划(产业前瞻与关键核心技术)项目(CG2221) （产业前瞻与关键核心技术）
