Comfort and living environment analysis in smart living environment
This project will be focus on achieving the integrative sensor-enabled information system for indoor environment. PMV model is used as a standard model for analyzing the relationship between six input parameters; Air Temperature, Air Velocity, Humidity, Mean Radiant Temperature, Clothing Level and M...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/10356/75032 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This project will be focus on achieving the integrative sensor-enabled information system for indoor environment. PMV model is used as a standard model for analyzing the relationship between six input parameters; Air Temperature, Air Velocity, Humidity, Mean Radiant Temperature, Clothing Level and Metabolic Rate.
By applying this understanding of each input parameter correlation, thermal comfort model is implemented by using machine learning techniques and Neural Net Fitting Tool in MATLAB software application.
Using most persistent and reliable thermal comfort model for integrative sensor-enabled information system, real time quality of indoor environment can be evaluated for better smart living indoor environment. |
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