期刊
IEEE SENSORS JOURNAL
卷 21, 期 6, 页码 8400-8410出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2020.3048244
关键词
Temperature sensors; Sensors; Clothing; Insulation; Temperature measurement; Micromechanical devices; HVAC; Predicted mean vote; smart systems; thermal comfort; HVAC
资金
- Hong Kong Innovation and Technology Fund (ITF) under the Hong Kong University of Science and TechnologyMassachusetts Institute of Technology (HKUST-MT) Research Alliance Consortium [ITS/410/16FP]
- Hong Kong Research Grant Council [16201220]
This article presents a HTCS system based on MEMS sensors with improved accuracy compared to traditional systems, utilizing novel technology and algorithms. Experimental results show promising potential for integration into smart HVAC systems in the era of the Internet of Things.
In this article, we report a predicted mean vote (PMV) index based micro Human Thermal Comfort Sensing (HTCS) system with multiple MEMS sensors. The system consists of a wireless multi-sensor (CMOS MEMS air velocity, MEMS relative humidity (RH) and MEMS air temperature) module to measure three environmental parameters and a smartphone App with a novel motion analytics algorithm (for estimation of metabolic rate) and personal factors (clothing insulation) input. While the majority of the reported HTCS systems are bulky and takes only environmental parameters into consideration, the developed system utilizes MEMS technology for sensors fabrication and measures the essential environmental and human factors involved to compute human thermal comfort. Furthermore, the developed HTCS system shows much better accuracy (0.13) than its commercial and reported counterparts (0.17 to 0.4). Moreover, the packaged HTCS system is placed in a testing room to monitor the PMV. The experimental results indicated that our micro PMV-based HTCS system is promising for smart HVAC system integration in the era of the Internet of Things.
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