Alternative emission monitoring technologies and industrial internet of things-based process monitoring technologies for achieving operational excellence

被引:11
|
作者
Gai, Huilong [1 ]
Beath, John [2 ]
Fang, Jian [1 ]
Lou, Helen H. [1 ]
机构
[1] Lamar Univ, Dan F Smith Dept Chem Engn, Beaumont, TX 77710 USA
[2] John Beath Environm LLC, Beaumont, TX 77707 USA
关键词
SPECTROSCOPY;
D O I
10.1016/j.cogsc.2020.04.009
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The process industries have been facing ever increasing pres-sure in the monitoring and control of gaseous pollutants such as volatile organic compounds and hazardous air pollutants. With increasingly stringent regulations and laws, emission manage-ment may need to go beyond the traditional leak detection and repair and continuous emissions monitoring system approaches to manage potential emission events. Alternative monitoring technologies, such as optical and remote sensing instruments and wireless sensors, can monitor emissions from a specific equipment/area/unit/plant in a timely manner. Smart integration of process data and emission data is a key step to achieve oper-ational excellence. By combining alternative emission monitoring technologies with process monitoring technologies based on in-dustrial internet of things, the process industry can utilize process data and emission data seamlessly to reduce emissions, mini-mize potential risks and achieve operational excellence.
引用
收藏
页码:31 / 37
页数:7
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