TY - GEN
T1 - Design of Portable Automatic Clothes Dryer with Fuzzy Logic Controller
AU - Mulawa, Muhammad Zharfan
AU - Fitriyanah, Ir Dwi Nur
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This research presents an innovative solution to tackle the impacts of erratic weather changes and high rainfall on daily activities, particularly the time-consuming clothes drying process in Indonesia. The proposed approach involves the design and development of an automatic portable clothes dryer cupboard, integrating a fuzzy logic controller method, heating lamp, and exhaust fan to optimize clothes drying efficiency. As an essential component, the DHT22 sensor accurately measures humidity and temperature, providing vital input data for the control system. The control mechanism is implemented using an ESP32 microcontroller, employing fuzzy logic based on the Mamdani method to intelligently manage humidity and temperature levels for optimal drying results. Furthermore, the inclusion of an internet-based monitoring system, utilizing the Thingspeak platform, allows users to conveniently track the drying progress on their smartphones, enhancing user convenience and control. By minimizing drying time and maximizing space efficiency, this design addresses the challenges faced in densely populated urban areas where suitable areas for drying clothes are limited, often leading to aesthetic disturbances in housing arrangements. Ultimately, this automatic portable clothes dryer offers a practical and user-friendly solution, significantly improving the daily living conditions and comfort of individuals residing in regions prone to erratic weather patterns, contributing to a more sustainable and efficient approach to clothes drying.
AB - This research presents an innovative solution to tackle the impacts of erratic weather changes and high rainfall on daily activities, particularly the time-consuming clothes drying process in Indonesia. The proposed approach involves the design and development of an automatic portable clothes dryer cupboard, integrating a fuzzy logic controller method, heating lamp, and exhaust fan to optimize clothes drying efficiency. As an essential component, the DHT22 sensor accurately measures humidity and temperature, providing vital input data for the control system. The control mechanism is implemented using an ESP32 microcontroller, employing fuzzy logic based on the Mamdani method to intelligently manage humidity and temperature levels for optimal drying results. Furthermore, the inclusion of an internet-based monitoring system, utilizing the Thingspeak platform, allows users to conveniently track the drying progress on their smartphones, enhancing user convenience and control. By minimizing drying time and maximizing space efficiency, this design addresses the challenges faced in densely populated urban areas where suitable areas for drying clothes are limited, often leading to aesthetic disturbances in housing arrangements. Ultimately, this automatic portable clothes dryer offers a practical and user-friendly solution, significantly improving the daily living conditions and comfort of individuals residing in regions prone to erratic weather patterns, contributing to a more sustainable and efficient approach to clothes drying.
KW - DHT22 Sensor
KW - ESP32
KW - Fuzzy Logic Controller (FLC)
KW - Thingspeak
UR - http://www.scopus.com/inward/record.url?scp=85186531770&partnerID=8YFLogxK
U2 - 10.1109/ICAMIMIA60881.2023.10427852
DO - 10.1109/ICAMIMIA60881.2023.10427852
M3 - Conference contribution
AN - SCOPUS:85186531770
T3 - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
BT - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023
Y2 - 14 November 2023 through 15 November 2023
ER -