摘要
在“碳达峰、碳中和”的双碳背景下,污水处理中尤其是工业废水深度处理领域需要进行从达标外排到减污和降碳并存的绿色低碳转型升级。臭氧氧化是其深度处理中的主流工艺,在实际运行中由于水质波动造成人为设置较高的运行安全边界,导致处理过程中臭氧过度投加等高碳排放问题。近年来,人工智能(AI)快速发展,相较人工控制可进行更精准的控制和管理。为实现化工高盐废水深度处理中减污降碳的需求,结合连云港石化产业基地工业废水综合治理中心现有污水处理工艺流程,本研究通过AI运维决策控制和人工控制下臭氧氧化深度处理高盐化工废水运行效果对比,验证AI运维决策控制系统的可靠性、安全性和稳定性。结果表明,AI运维决策控制系统可以精准调控臭氧的投加量,在保证出水稳定达标的同时,实现臭氧运行成本较人工控制节约20%,具有较强的技术经济优势和应用前景。
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.
作者
江云
郭磊
郭慧
李纪元
JIANG Yun;GUO Lei;GUO Hui;LI Jiyuan(Jiangsu Fangyang Water Co.,Ltd.,Lianyungang,Lianyungang,Jiangsu 222248,China;Jiangsu Petrochemical Wastewater Deep Treatment and Carbon Reduction Technology Engineering Research Center,Lianyungang,Jiangsu 222248,China;School of Environment and Civil Engineering,Jiangnan University,Wuxi,Jiangsu 214122,China)
出处
《环境工程学报》
北大核心
2025年第7期1580-1588,共9页
Chinese Journal of Environmental Engineering
基金
江苏省碳达峰碳中和科技创新专项资金(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)。
关键词
人工智能
难降解工业废水
臭氧氧化
减污降碳
artificial intelligence
refractory industrial wastewater
ozone oxidation
pollution reduction and carbon reduction
