Development of arduino-based smart cloth drying system
Malaysia, the climate often fluctuates between extreme heat and sudden heavy rainfall, causing inconvenience for residents who are away from home. To address this issue, this study aims to create a smart clothing drying system using Arduino technology. This system allows for semi-automatic or ful...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2024
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| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/6947/1/fyp_CS_2024_CSY.pdf http://eprints.utar.edu.my/6947/ |
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| Summary: | Malaysia, the climate often fluctuates between extreme heat and sudden heavy
rainfall, causing inconvenience for residents who are away from home. To address this
issue, this study aims to create a smart clothing drying system using Arduino
technology. This system allows for semi-automatic or fully automatic clothes drying,
adapting to changing weather conditions. The system's core is an Arduino, which
interfaces with sensors measuring humidity, temperature, air pressure, light intensity,
UV intensity, and rainfall to gather comprehensive environmental data. This data feeds
into a model that evaluates if the current weather conditions are suitable for air-drying
clothes. The system utilizes predefined strategies and thresholds to make autonomous
decisions about whether to proceed with clothes drying. Arduino controls two DC
motors to move the clothes rack to suitable locations, such as indoors during
unfavorable weather or outdoors on sunny days. For remote control, Arduino is
equipped with Wi-Fi connectivity, enabling a mobile app through the Blynk IoT
platform for precise manual adjustments. This app not only offers remote control for
retrieving or hanging clothes but also provides real-time sensor data and notifications
about clothing rack movements and potential rain. The system incorporates advanced
features such as manual remote control of wheel movements, path recording and
playback, and reverse path execution. All settings and recorded paths are stored in
EEPROM, ensuring persistence across power cycles. Additionally, the system
considers sunrise and sunset times to determine its operational hours. This intelligent
system provides users with convenient control over clothes drying, whether through
automated decisions based on sensor data and predefined strategies or remote manual
operations, thus simplifying daily life and improving energy efficiency. |
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