Solutions to mitigate the impact of measurement noise on the air pollution source strength estimation in a multi-zone building

• 作者: Chunxiang Dai Fei Li Haidong Wang Hao Cai Jinxiang Liu Kai Zhang Xiaoran Liu
• 来源期刊: 建筑模拟（英文版）
• 年，卷（期）: 2020,（6）
• 所属期刊栏目: INDOOR/OUTDOOR AIRFLOW AND AIR QUALITY
• 页码范围: 1329-1337
• 页数: 9页
• 语种: 英文

摘要

Indoor contaminants jeopardize people's health and may even cause serious consequences under extreme conditions. Therefore, the prompt and accurate identification of indoor airborne contaminant characteristics is significant for indoor health and safety. In this paper, we used an inverse Markov chain model, combined with the regularization proposed in our previous research, to identify periodic source strength under steady airflow in a multi-zone building. The impact of different measurement noise (0.05％, 0.1％, 0.2％) on the inverse results was investigated. The results showed that the greater the noise, the greater the oscillation of the inverse result. Furthermore, we also investigated the effect of adjusting the calculation time step (5 s, 10 s, 20 s, 30 s) and adding digital filters (Sliding window filter and Butterworth low pass filter) on the inverse source release rate. The results showed that properly increasing the calculation time step can reduce the impact of measurement noise. The root mean square error (RMSE) of the inverse source strength with 0.1％ noise decreased from 22.89 under a 5-s time step to 0.9793 under a 30-s time step. It was also found that adding digital filters could reduce the oscillation of the inverse source results, and the performance of the filters also depends on the calculation time steps.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	Haidong Wang		2	0	0.0	0.0
2	Fei Li		1	0	0.0	0.0
3	Xiaoran Liu		1	0	0.0	0.0
4	Jinxiang Liu		1	0	0.0	0.0
5	Hao Cai		1	0	0.0	0.0
6	Kai Zhang		1	0	0.0	0.0
7	Chunxiang Dai		1	0	0.0	0.0