Influence of Sensor Location on Indoor Air Pollution Source Identification Results
Publication: Journal of Environmental Engineering
Volume 145, Issue 11
Abstract
Sudden gaseous contaminants are usually highly unpredictable and even very toxic. If unable to be responded to in time, they will seriously endanger the safety of occupants. In order to realize quick source identification based on very limited sensors, two indexes were established according to a combination of the traditional optimization method and probability method. The identification process consisted of two stages. In the pretreatment stage, computational fluid dynamics (CFD) was taken to simulate the contaminant release processes from 16 control-body centers and 16 actual sources, and the concentration information from three sensors, , , and , was collected for later calculation. Then, in the source identification process, the identification index was solved based on the concentration information. The identification results show that when a single sensor is used for identification, the accuracy is greatly affected by the sensor position. When using dual-sensor combinations instead, the average accuracy rate can be increased by 13.5%. Dual-sensor combination scenarios can greatly improve accuracy and effectively eliminate the influence of sensor location.
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Acknowledgments
This research was supported by Shenyang Young and Middle-Aged Science and Technology Innovation Talents Program (RC170313), Liaoning Provincial Natural Foundation (20170540761), Liaoning Baiqianwan Talents Program, and Liaoning Innovative Talents program.
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Published In
Journal of Environmental Engineering
Volume 145 • Issue 11 • November 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Jul 23, 2018
Accepted: Mar 5, 2019
Published online: Sep 14, 2019
Published in print: Nov 1, 2019
Discussion open until: Feb 14, 2020
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