An experimental study on concentration field reconstruction of indoor pollutant based on mobile monitoring

College of Urban Construction, Nanjing Tech University, 211816, Nanjing, China

Corresponding author: Name: Hao Cai; caihao@njtech.edu.cn

Abstract

Concentration field reconstruction (CFR) refers to the use of the collected spatio-temporal discrete concentration data to reconstruct the concentration field that can reflect the spatio-temporal distribution of pollutants according to certain rules, which is of great significance to ensure the safety of indoor environment. In this paper, using alcohol as the release source, and the field reconstruction experiment based on mobile robot is carried out in an environmental chamber with two types of ventilation: side-up-supply-and-side-down-return, and top-supply-and-side-down-return. Using the experimental data, the performance of Kernel DM+V/W+ method is compared with the other two internationally recognized Kernel DM+V method and Kernel DM+V/W method in field reconstruction and source location from the perspective of qualitative and quantitative. The comparison results show that the Kernel DM+V/W+ method not only has better field reconstruction performance, but also has better source localization performance.