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• W4285792175 abstract "Indoor environmental quality (IEQ) monitoring is an important basis of smart buildings to ensure human comfort and control energy systems. IEQ monitoring conventionally relies on a limited number of stationary sensors deployed at selected locations, which has little capacity to capture fine spatial characteristics due to the cost of infrastructure and maintenance. This paper describes a robot-based mobile sensing system for high-resolution temperature monitoring by selecting air temperature as the targeted IEQ parameter. Experiments were conducted in a classroom to test the mobile sensing performance through comparisons with the dense stationary sensor network. Furthermore, two spatio-temporal processing methods were developed to reconstruct continuous thermal maps from short- and long-term monitoring. The results indicate that the robot velocity of 0.25–0.45 m/s is better than 0.60–0.80 m/s and 0.10–0.20 m/s, and that the proposed methods are suitable for generating accurate, high-resolution thermal maps. • A robot-based mobile sensing system is proposed to achieve high-resolution temperature monitoring. • The mobile sensing performance is tested by comparative experiments with the dense stationary sensor network. • The velocity of 0.25–0.45 m/s is better for mobile sensing as compared to 0.60–0.80 m/s and 0.10–0.20 m/s. • Time-series trend fitting by the mobile sensing data is sufficient to generate thermal map in the short term. • A method combining mobile and stationary sensing is developed for the long-term estimation of continuous thermal map." @default.
• W4285792175 created "2022-07-19" @default.
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• W4285792175 date "2022-10-01" @default.
• W4285792175 modified "2023-10-14" @default.
• W4285792175 title "Robot-based mobile sensing system for high-resolution indoor temperature monitoring" @default.
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• W4285792175 doi "https://doi.org/10.1016/j.autcon.2022.104477" @default.
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