Development of smart drying rack system with remote control using mobile application

Lim, Chiang Wern (2021) Development of smart drying rack system with remote control using mobile application. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays, mobile phones are a basic necessity in our lives. We often spend our time using the phone in entertainment, education, business, socialization, etc. Why not? We use mobile phones wisely in managing life in terms of household chores. With the help of mobile phones, we can reduce the pressure in our lives and make our lives to be systematic. We propose a solution to solve housework such as laundry that takes a lot of time, and if it rains due to unpredictable seasons, the problem will worsen. Therefore, we propose a smart drying rack system that can operate remotely using a mobile application to overcome the problems mentioned above. This drying rack uses ESP32 as a microcontroller to control the inputs and outputs of the system with integrated Wi-Fi. The sensor that measures the surrounding temperature and humidity is DHT11. Users will receive notifications once their cloth dries via their smartphone or there is a presence of water on the rain sensor. We built a mobile application that can control the drying rack system. Next, we collect the data and plot it as a scatterplot. With the help of scatter plots, we can obtain equations in Excel for study and analysis. Scatter plots are one of the most powerful data analysis tools. According to (Hao and Keim, 2010), they used scatter plots to analyze power consumption versus temperature data. Therefore, for our data collection and analysis, two studies were conducted to study the drying time of 100% nylon cloth and 100% cotton cloth, and the drying time of cotton clothes as the number of clothes increased and the distance was shortened. On the same hanger rack, length (33 cm). The collected data is generated as an equation used as a reference drying time and integrated into the mobile app algorithm code in automatic mode. As a result, the drying rack system can detect rain and cover-up clothes from getting wet. Integrated with drying racks using MIT App Inventor's mobile app, works flawlessly and reminds users of researched drying times. Therefore, there is an improvement in the drying process in the auto mode of the drying rack system. We believe that smart drying racks with integrated mobile apps make our lives easier and more systematic.

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