An Analysis and Design of an Iot Based Automated Wood Drying System With Real Time Humidity Monitoring
Abstract
Wood drying is an important process in the wood processing industry to improve its quality and durability. However, conventional methods are often inefficient due to the lack of real-time control of moisture levels. This study aims to analyze and design an au-tomatic wood drying system with Internet of Things (IoT)-based moisture monitoring. This system uses a moisture sensor to measure the water content in wood periodically, which is then sent to an IoT platform for remote monitoring. The data obtained is used to automatically control the heating element to maintain optimal conditions in the drying room. With the implementation of this technology, the drying process becomes more ef-ficient, energy efficient, and produces wood with more consistent quality. The test results show that this system is able to adjust the temperature and drying duration adaptively based on the actual condition of the wood, thereby increasing efficiency compared to conventional methods. It is hoped that this research can be an innovative solution for the wood industry in increasing productivity and quality of the final product.
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References
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