基于石油化工行业环保的水污染识别应用设计  

APPLICATION DESIGN FOR WATER POLLU-TION IDENTIFICATION BASED ON ENVIRON-MENTAL PROTECTION IN PETROCHEMICAL INDUSTRY

作　　者：莫悚 Mo Song(SINOPEC Lubricants Co.,Ltd.,Beijing,100085)

机构地区：[1]中国石化润滑油有限公司,北京100085

出　　处：《石油化工安全环保技术》2024年第6期28-31,59,I0002,共6页Petrochemical Safety and Environmental Protection Technology

摘　　要：石油化工生产废水排放量大,生产每吨化学产品要排放几吨至几十吨废水。虽然国内石油化工相关企业均按标准建立了污水处置标准与设备,但仍存在因人为疏漏、处置不当、设施缺陷等因素导致的排放未达标,造成严重的环境破坏与经济损失。依托于开源神经网络、视觉色阶分析、嗅探设备等协同工作,实现对预排放废水的多维度识别与判断,为石油化工企业对自身排放情况监督提供一个实时、可控的渠道。杜绝因疏漏、设备缺陷、非标作业等原因造成的污水排放,以降低企业生产风险。The discharge of wastewater in petrochem-ical production is large,and several to tens of tons of wastewater are discharged per ton of chemical products produced.Although domestic petrochemical related enterprises have built sewage treatment equipment and standards according to standards,there are still serious environmental damage and economic losses caused by human negligence,improper disposal,facility defects and other factors that result in non-compliant discharge.This paper relies on collaborative work such as open-source neural networks,visual color grading analysis,and sniffing devices to achieve multi-dimensional rec-ognition and judgment of pre-discharged wastewater.This provides a real-time and controllable channel for petrochemical enterprises to supervise their own dis-charge situation.Therefore,sewage discharge due to negligence,equipment defects,non-standard operations and other reasons can be eliminated so as to reduce pro-duction risks for enterprises.

关 键 词：石油化工排放 多阶视觉分析 嗅探分析 污水识别 

分 类 号：X74[环境科学与工程—环境工程]