Indoor air quality improvement in natural ventilation using a fuzzy logic controller
The aim of the research was to design and validate the prototype of a device developed to improve the quality of indoor air by supporting the natural ventilation in building. A CO2 sensor and thermo-hygrometer were used to measure the physical parameters of the indoor air. The developed device is ba...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2020-01-01
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| Series: | Technical Transactions |
| Subjects: | |
| Online Access: | https://doi.org/10.37705/TechTrans/e2020045 |
| _version_ | 1797387200068845568 |
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| author | Kulis Cezary Müller Jarosław |
| author_facet | Kulis Cezary Müller Jarosław |
| author_sort | Kulis Cezary |
| collection | DOAJ |
| description | The aim of the research was to design and validate the prototype of a device developed to improve the quality of indoor air by supporting the natural ventilation in building. A CO2 sensor and thermo-hygrometer were used to measure the physical parameters of the indoor air. The developed device is based on the Raspberry Pi single-board-computer (SBC) and optical sensors. The prototype casing was made using 3D printing technology. The software was written using the Python 2.7 programming language. The key algorithm of control uses fuzzy logic. The effectiveness of the developed device has been confirmed. The use of the device enabled improvement of the indoor air quality. The presented device may be a solution to improve the indoor air quality by supporting the ventilation system. |
| first_indexed | 2024-03-08T22:21:39Z |
| format | Article |
| id | doaj.art-89c0ae6aac8b42ceb0b97d0fa724a682 |
| institution | Directory Open Access Journal |
| issn | 2353-737X |
| language | English |
| last_indexed | 2024-03-08T22:21:39Z |
| publishDate | 2020-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Technical Transactions |
| spelling | doaj.art-89c0ae6aac8b42ceb0b97d0fa724a6822023-12-18T12:46:11ZengSciendoTechnical Transactions2353-737X2020-01-01117110.37705/TechTrans/e2020045Indoor air quality improvement in natural ventilation using a fuzzy logic controllerKulis Cezary0Müller Jarosław1Faculty of Environmental and Power Engineering, Cracow University of TechnologyFaculty of Environmental and Power Engineering, Cracow University of TechnologyThe aim of the research was to design and validate the prototype of a device developed to improve the quality of indoor air by supporting the natural ventilation in building. A CO2 sensor and thermo-hygrometer were used to measure the physical parameters of the indoor air. The developed device is based on the Raspberry Pi single-board-computer (SBC) and optical sensors. The prototype casing was made using 3D printing technology. The software was written using the Python 2.7 programming language. The key algorithm of control uses fuzzy logic. The effectiveness of the developed device has been confirmed. The use of the device enabled improvement of the indoor air quality. The presented device may be a solution to improve the indoor air quality by supporting the ventilation system.https://doi.org/10.37705/TechTrans/e2020045fuzzy logicindoor air qualitynatural ventilation |
| spellingShingle | Kulis Cezary Müller Jarosław Indoor air quality improvement in natural ventilation using a fuzzy logic controller Technical Transactions fuzzy logic indoor air quality natural ventilation |
| title | Indoor air quality improvement in natural ventilation using a fuzzy logic controller |
| title_full | Indoor air quality improvement in natural ventilation using a fuzzy logic controller |
| title_fullStr | Indoor air quality improvement in natural ventilation using a fuzzy logic controller |
| title_full_unstemmed | Indoor air quality improvement in natural ventilation using a fuzzy logic controller |
| title_short | Indoor air quality improvement in natural ventilation using a fuzzy logic controller |
| title_sort | indoor air quality improvement in natural ventilation using a fuzzy logic controller |
| topic | fuzzy logic indoor air quality natural ventilation |
| url | https://doi.org/10.37705/TechTrans/e2020045 |
| work_keys_str_mv | AT kuliscezary indoorairqualityimprovementinnaturalventilationusingafuzzylogiccontroller AT mullerjarosław indoorairqualityimprovementinnaturalventilationusingafuzzylogiccontroller |