Comfort and living environment analysis in smart living environment
ASHRAE 55 standards have been used by many consultants and engineers to design an indoor space. Since the first publication in 1971, numerous editions have been made to continuously improve the standard. In ASHRAE 55 standard, the basic parameters identified by Fanger were used to identify thermal c...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/10356/70749 |
| _version_ | 1811678777377292288 |
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| author | Goh, Daryl Wee Ming |
| author2 | Soh Yeng Chai |
| author_facet | Soh Yeng Chai Goh, Daryl Wee Ming |
| author_sort | Goh, Daryl Wee Ming |
| collection | NTU |
| description | ASHRAE 55 standards have been used by many consultants and engineers to design an indoor space. Since the first publication in 1971, numerous editions have been made to continuously improve the standard. In ASHRAE 55 standard, the basic parameters identified by Fanger were used to identify thermal comfort, which includes Temperature, Air Velocity, Humidity, Mean Radiant Temperature (MRT), clothing thermal insulation (clo) and metabolic rate (met). These basic parameters are being used to calculate the thermal comfort level in an indoor space. However, some of these parameters are harder to obtain due to numerous conditions or requirements that have to be met in order to select the correct formula. One example is the MRT parameter which has different ways of calculation involving different conditions.
This report seeks to understand the comfort and living environment analysis in smart living environment. The objective of this final year report is to find a relationship between the body parameters of a human being and the basic parameters. 20 participants of ages between 20-30 years took part in an experiment which was conducted in a control environment to see how their body react to different conditions. Data of both the environment and the body parameters were being captured over the period of 40 minutes. These data will then be subjected to a machine learning algorithm that compares the body parameters and the basic parameters for similarities in percentages. |
| first_indexed | 2024-10-01T02:58:39Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/70749 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:58:39Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/707492023-07-07T17:55:34Z Comfort and living environment analysis in smart living environment Goh, Daryl Wee Ming Soh Yeng Chai School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering ASHRAE 55 standards have been used by many consultants and engineers to design an indoor space. Since the first publication in 1971, numerous editions have been made to continuously improve the standard. In ASHRAE 55 standard, the basic parameters identified by Fanger were used to identify thermal comfort, which includes Temperature, Air Velocity, Humidity, Mean Radiant Temperature (MRT), clothing thermal insulation (clo) and metabolic rate (met). These basic parameters are being used to calculate the thermal comfort level in an indoor space. However, some of these parameters are harder to obtain due to numerous conditions or requirements that have to be met in order to select the correct formula. One example is the MRT parameter which has different ways of calculation involving different conditions. This report seeks to understand the comfort and living environment analysis in smart living environment. The objective of this final year report is to find a relationship between the body parameters of a human being and the basic parameters. 20 participants of ages between 20-30 years took part in an experiment which was conducted in a control environment to see how their body react to different conditions. Data of both the environment and the body parameters were being captured over the period of 40 minutes. These data will then be subjected to a machine learning algorithm that compares the body parameters and the basic parameters for similarities in percentages. Bachelor of Engineering 2017-05-09T09:03:48Z 2017-05-09T09:03:48Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70749 en Nanyang Technological University 105 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Goh, Daryl Wee Ming Comfort and living environment analysis in smart living environment |
| title | Comfort and living environment analysis in smart living environment |
| title_full | Comfort and living environment analysis in smart living environment |
| title_fullStr | Comfort and living environment analysis in smart living environment |
| title_full_unstemmed | Comfort and living environment analysis in smart living environment |
| title_short | Comfort and living environment analysis in smart living environment |
| title_sort | comfort and living environment analysis in smart living environment |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/70749 |
| work_keys_str_mv | AT gohdarylweeming comfortandlivingenvironmentanalysisinsmartlivingenvironment |