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利用单个浓度传感器识别室内污染物源位置

Identification of indoor contaminant source location by a single concentration sensor.

作者信息

Wang Lin-Lin, You Xue-Yi

机构信息

School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072 China.

出版信息

Air Qual Atmos Health. 2015;8(1):115-122. doi: 10.1007/s11869-014-0280-9. Epub 2014 Jul 18.

Abstract

Methods of maximum correlation coefficient (MCC) and the minimum discrete degree (MDD) are developed to identify the location of indoor contaminant source. These two methods are simple, effective, and economic due to the need of only one sensor. The methods are validated by a three-dimensional case study. The effects of the sampling time, the sampling interval, and the sensor response time and measurement error on the location identification of the contaminant source are analyzed. The results indicate that the identification performance of the MDD method is better than that of the MCC method; however, the MDD requires a fast response and high-accuracy sensor. MCC method not only has smaller effects of response time and measurement error compared with the MDD method but it also does not require high-performance (accuracy) sensor and it is not suitable for fast identification in a short time. For source location identification, the two methods need to properly choose sampling time, sampling interval, and response time.

摘要

提出了最大相关系数(MCC)法和最小离散度(MDD)法来确定室内污染源的位置。由于只需要一个传感器,这两种方法简单、有效且经济。通过一个三维案例研究对这些方法进行了验证。分析了采样时间、采样间隔、传感器响应时间和测量误差对污染源位置识别的影响。结果表明,MDD法的识别性能优于MCC法;然而,MDD需要快速响应和高精度的传感器。与MDD法相比,MCC法不仅受响应时间和测量误差的影响较小,而且不需要高性能(精度)的传感器,也不适合在短时间内进行快速识别。对于源位置识别,这两种方法都需要正确选择采样时间、采样间隔和响应时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae8d/7089341/1774468b1ef1/11869_2014_280_Fig1_HTML.jpg

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