Intelligent Drying Rack Control System With Weather Condition Prediction Using Fuzzy Logic
Most people's daily routines include washing and drying clothes. However, most of the people claimed that the process of drying up the clothes is the most challenging part due to the unpredictable weather in Malaysia. This project introduces an Intelligent Drying Rack Control System with weathe...
| Main Author: | |
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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/40846/ http://umpir.ump.edu.my/id/eprint/40846/1/CB20080.pdf |
| _version_ | 1848826163810533376 |
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| author | Nur Darwisyah Faqihah, Lutfi |
| author_facet | Nur Darwisyah Faqihah, Lutfi |
| author_sort | Nur Darwisyah Faqihah, Lutfi |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Most people's daily routines include washing and drying clothes. However, most of the people claimed that the process of drying up the clothes is the most challenging part due to the unpredictable weather in Malaysia. This project introduces an Intelligent Drying Rack Control System with weather condition prediction using Fuzzy logic that can automatically detect the presence of rain, sunlight and temperature, humidity. This drying rack system will be retrieved and pulled out when the system detects a change in surrounding weather. This project was developed to help people stay busy and focus on daily tasks outside and prevent their clothes from getting damp from the rain. The prototype model used hardware such as Arduino Uno, rain sensor, light sensor, DHT11 sensor and servo motor as actuator. Using Fuzzy logic showed that when it is cloudy, the sensor will pull the drying rack down to the roof, and when it gets sunny, it will be moved again. This initiative helps people manage their clothes when they are away from home, which reduces their stress and frees up their attention for other everyday duties. |
| first_indexed | 2025-11-15T03:40:27Z |
| format | Undergraduates Project Papers |
| id | ump-40846 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:40:27Z |
| publishDate | 2023 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-408462024-04-02T07:06:08Z http://umpir.ump.edu.my/id/eprint/40846/ Intelligent Drying Rack Control System With Weather Condition Prediction Using Fuzzy Logic Nur Darwisyah Faqihah, Lutfi QA75 Electronic computers. Computer science QA76 Computer software Most people's daily routines include washing and drying clothes. However, most of the people claimed that the process of drying up the clothes is the most challenging part due to the unpredictable weather in Malaysia. This project introduces an Intelligent Drying Rack Control System with weather condition prediction using Fuzzy logic that can automatically detect the presence of rain, sunlight and temperature, humidity. This drying rack system will be retrieved and pulled out when the system detects a change in surrounding weather. This project was developed to help people stay busy and focus on daily tasks outside and prevent their clothes from getting damp from the rain. The prototype model used hardware such as Arduino Uno, rain sensor, light sensor, DHT11 sensor and servo motor as actuator. Using Fuzzy logic showed that when it is cloudy, the sensor will pull the drying rack down to the roof, and when it gets sunny, it will be moved again. This initiative helps people manage their clothes when they are away from home, which reduces their stress and frees up their attention for other everyday duties. 2023-07 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40846/1/CB20080.pdf Nur Darwisyah Faqihah, Lutfi (2023) Intelligent Drying Rack Control System With Weather Condition Prediction Using Fuzzy Logic. Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah. |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software Nur Darwisyah Faqihah, Lutfi Intelligent Drying Rack Control System With Weather Condition Prediction Using Fuzzy Logic |
| title | Intelligent Drying Rack Control System With Weather Condition Prediction Using Fuzzy Logic |
| title_full | Intelligent Drying Rack Control System With Weather Condition Prediction Using Fuzzy Logic |
| title_fullStr | Intelligent Drying Rack Control System With Weather Condition Prediction Using Fuzzy Logic |
| title_full_unstemmed | Intelligent Drying Rack Control System With Weather Condition Prediction Using Fuzzy Logic |
| title_short | Intelligent Drying Rack Control System With Weather Condition Prediction Using Fuzzy Logic |
| title_sort | intelligent drying rack control system with weather condition prediction using fuzzy logic |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/40846/ http://umpir.ump.edu.my/id/eprint/40846/1/CB20080.pdf |