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Enhancing Bamboo Dryer Using IOT Control

The ideal temperature and humidity levels for the drying process of bamboo vary depending on the species of bamboo and desired product. This system has been designed to create an optimal and controlled drying environment within the temperature range of 50°C to 52°C encompassing three integral subsys...

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Main Authors: Farrah, Wong, Mohd Syaqir, Japarudin, Sariah, Abang, Yew, Hoe Tung, Mazlina, Mamat, Chew, Ing Ming, Aroland, Kiring, Jamal, Ahmad Dargham
Other Authors: Sankar, K. Pal
Format: Book Chapter
Language:English
Published: Springer Nature Link 2024
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
TP Chemical technology
TS Manufactures
Online Access:http://ir.unimas.my/id/eprint/46611/1/Enhancing%20Bamboo%20Dryer.pdf
http://ir.unimas.my/id/eprint/46611/
https://link.springer.com/chapter/10.1007/978-981-97-2147-4_22
https://doi.org/10.1007/978-981-97-2147-4_22
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spelling my.unimas.ir-466112024-11-13T08:18:14Z http://ir.unimas.my/id/eprint/46611/ Enhancing Bamboo Dryer Using IOT Control Farrah, Wong Mohd Syaqir, Japarudin Sariah, Abang Yew, Hoe Tung Mazlina, Mamat Chew, Ing Ming Aroland, Kiring Jamal, Ahmad Dargham T Technology (General) TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology TS Manufactures The ideal temperature and humidity levels for the drying process of bamboo vary depending on the species of bamboo and desired product. This system has been designed to create an optimal and controlled drying environment within the temperature range of 50°C to 52°C encompassing three integral subsystems. At the core of this innovation lies the Control Subsystem, a pivotal entity responsible for maintaining the precise drying conditions required for optimal results. This subsystem integrates a range of components, including the NodeMCU-ESP32 microcontroller, DHT22 temperature and humidity sensors, 2 Channel 5V relays, AC Heater, and AC Fan. These elements collaboratively function to dynamically regulate the temperature and humidity parameters essential for efficient bamboo drying. The Communication Subsystem, seamlessly interfaced with the Blynk cloud platform, bridging the gap between the IoT components and user interaction. Through this innovative feature, the drying process becomes accessible from remote locations, enabling real-time monitoring and control via the Blynk mobile application. The Monitoring Subsystem through the I2C LCD Display provides users with a localized display of critical drying such as average temperature and humidity. On the experimental results, a comparative analysis between the traditional sun-drying approach and the IoT-Based Dryer method elucidates significant differentials in weight loss and moisture reduction trends. The latter consistently showcases heightened efficiency by achieving higher average moisture loss percentages, signifying its ability to rapidly reduce moisture content within bamboo samples by 5%. Furthermore, the IoT-Based Dryer method demonstrates enhanced time efficiency, predictability, and consistency due to its controlled and optimized drying conditions. Springer Nature Link Sankar, K. Pal Sabu, M. Thampi Ajith, Abraham 2024-10-18 Book Chapter PeerReviewed text en http://ir.unimas.my/id/eprint/46611/1/Enhancing%20Bamboo%20Dryer.pdf Farrah, Wong and Mohd Syaqir, Japarudin and Sariah, Abang and Yew, Hoe Tung and Mazlina, Mamat and Chew, Ing Ming and Aroland, Kiring and Jamal, Ahmad Dargham (2024) Enhancing Bamboo Dryer Using IOT Control. In: Intelligent Informatics : Proceedings of Eighth International Symposium on Intelligent Informatics (ISI 2023). Smart Innovation, Systems and Technologies, 389 . Springer Nature Link, pp. 317-328. ISBN ISBN 978-981-97-2146-7 / ISBN 978-981-97-2147-4 (eBook) https://link.springer.com/chapter/10.1007/978-981-97-2147-4_22 https://doi.org/10.1007/978-981-97-2147-4_22
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
TP Chemical technology
TS Manufactures
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
TP Chemical technology
TS Manufactures
Farrah, Wong
Mohd Syaqir, Japarudin
Sariah, Abang
Yew, Hoe Tung
Mazlina, Mamat
Chew, Ing Ming
Aroland, Kiring
Jamal, Ahmad Dargham
Enhancing Bamboo Dryer Using IOT Control
description The ideal temperature and humidity levels for the drying process of bamboo vary depending on the species of bamboo and desired product. This system has been designed to create an optimal and controlled drying environment within the temperature range of 50°C to 52°C encompassing three integral subsystems. At the core of this innovation lies the Control Subsystem, a pivotal entity responsible for maintaining the precise drying conditions required for optimal results. This subsystem integrates a range of components, including the NodeMCU-ESP32 microcontroller, DHT22 temperature and humidity sensors, 2 Channel 5V relays, AC Heater, and AC Fan. These elements collaboratively function to dynamically regulate the temperature and humidity parameters essential for efficient bamboo drying. The Communication Subsystem, seamlessly interfaced with the Blynk cloud platform, bridging the gap between the IoT components and user interaction. Through this innovative feature, the drying process becomes accessible from remote locations, enabling real-time monitoring and control via the Blynk mobile application. The Monitoring Subsystem through the I2C LCD Display provides users with a localized display of critical drying such as average temperature and humidity. On the experimental results, a comparative analysis between the traditional sun-drying approach and the IoT-Based Dryer method elucidates significant differentials in weight loss and moisture reduction trends. The latter consistently showcases heightened efficiency by achieving higher average moisture loss percentages, signifying its ability to rapidly reduce moisture content within bamboo samples by 5%. Furthermore, the IoT-Based Dryer method demonstrates enhanced time efficiency, predictability, and consistency due to its controlled and optimized drying conditions.
author2 Sankar, K. Pal
author_facet Sankar, K. Pal
Farrah, Wong
Mohd Syaqir, Japarudin
Sariah, Abang
Yew, Hoe Tung
Mazlina, Mamat
Chew, Ing Ming
Aroland, Kiring
Jamal, Ahmad Dargham
format Book Chapter
author Farrah, Wong
Mohd Syaqir, Japarudin
Sariah, Abang
Yew, Hoe Tung
Mazlina, Mamat
Chew, Ing Ming
Aroland, Kiring
Jamal, Ahmad Dargham
author_sort Farrah, Wong
title Enhancing Bamboo Dryer Using IOT Control
title_short Enhancing Bamboo Dryer Using IOT Control
title_full Enhancing Bamboo Dryer Using IOT Control
title_fullStr Enhancing Bamboo Dryer Using IOT Control
title_full_unstemmed Enhancing Bamboo Dryer Using IOT Control
title_sort enhancing bamboo dryer using iot control
publisher Springer Nature Link
publishDate 2024
url http://ir.unimas.my/id/eprint/46611/1/Enhancing%20Bamboo%20Dryer.pdf
http://ir.unimas.my/id/eprint/46611/
https://link.springer.com/chapter/10.1007/978-981-97-2147-4_22
https://doi.org/10.1007/978-981-97-2147-4_22
_version_ 1817848736283361280
score 13.2401285

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