摘要
污染防控工作能够将污染问题进行前置化处理,在污染发生前进行管控,减少污染治理的难度,提升整体环保质量,但传统的污染防控受数据冗余的影响,常会出现数据利用率不足、防控延迟、防控功能单一的问题。本文将大数据技术与污染源在线监控进行结合,首先进行在线监控数据有效性分析,再以山东省青岛市某工业区的重点监控企业为研究对象,构建污染源在线监控数据有效性强化模型,最后通过废气、废水排口在线监控该数据有效性指数验证文章方法的有效性。
Pollution prevention and control work can pre-process pollution problems,control pollution before it occurs,reduce the difficulty of pollution control,and improve the overall environmental protection quality.However,traditional pollution prevention and control is affected by data redundancy,which often leads to problems such as insufficient data utilization,delayed prevention and control,and single prevention and control function.Based on this,the article combines big data technology with online monitoring of pollution sources.First,it analyzes the effectiveness of online monitoring data,and takes a key monitoring enterprise in an industrial zone in Qingdao,Shandong Province as the research object to build an enhanced model for the effectiveness of online monitoring data of pollution sources.Finally,it verifies the effectiveness of the article's method through the effectiveness index of online monitoring data of exhaust gas and waste water outlets.
关键词
污染源
在线监控
大数据技术
pollution source
online monitoring
big data technology
