Categorisation for air quality assessment in car cabin |
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| Institution: | 1. Department of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA;2. Center for Health Policy Research, University of California Los Angeles, Los Angeles, CA 90095, USA;1. Department of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095-1772, USA;2. Department of Civil and Environmental Engineering, Henry Samueli School of Engineering and Applied Science, University of California Los Angeles, Los Angeles, CA 90095-1593, USA;3. Institute of Environment and Sustainability, University of California Los Angeles, Los Angeles, CA 90095-1772, USA;1. Department of Environmental Engineering, Tongji University, Shanghai 200092, China;2. Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3) Shanghai 200433, China;1. Tianjin Key Laboratory of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin, China;2. Tianjin Municipal Engineering Design & Research Institute, China |
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| Abstract: | The objective of this work was to propose a way of preparing information about in-cabin air quality for the car driver or passenger. It was assumed that information should be objective, relevant, current, complete and useful. The major elements of our concept were: (1) monitoring of selected air parameters inside the cabin, (2) determination of indicators that characterise indoor air, based on measurements, and (3) the method of information extraction. We proposed to realise the first task with a sensor system. The second and third goals were reached by categorisation. The basis for defining categories were ranges of values of measured parameters or their combinations. In a way, the categories were used to quantify indicators of air quality. Shannon entropy and mutual information were applied to find the best categorisation. The concept was investigated using experimental data from car cabin air monitoring in various driving conditions. We conclude that information about air quality in car cabins may be successfully conveyed using the following indicators: thermal conditions – determined based on temperature and relative humidity measurements; air exchange – determined based on CO2 concentration; and air freshness – determined based on volatile organic compounds (VOCs) content in car cabin air. Each indicator has three categories: bad, intermediate and good. |
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| Keywords: | Indoor air quality Sensor Category Car Information Entropy |
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