1. MOHAMMED F. SHEET ALSAFAR - Computer Engineering Department, University of Mosul, Mosul, Iraq.
2. BASMAN M. HASAN ALHAFIDH - Computer Engineering Department, University of Mosul, Mosul, Iraq.
Incoming sun radiation in homes has sturdy implications on each visible and thermal aspect. Shading structures have an effect on daytime ranges in construction and the view of the outdoors surroundings. However, such shading system operation patterns may differ from time to time depending on the current season of the year. Thus, we may need to continuously monitor and control the shading system during the year locally or remotely. The proposed study investigates the outcomes of smart shading systems in homes which include decreasing electricity bills, and retaining the surroundings, in addition to assisting the aged or disabled people using smart systems which avoid the hassle of everlasting movement. The objective of this paper is to build a shading system that manages indoor curtains. The system work in manual mode and automatic mode of operation. The user can remotely manipulate the curtain from everywhere by connecting the device to the Internet. At the same time, the status data should be collected in the cloud to be analyzed as a first step toward a fully automated mode of operation using machine learning algorithms. In this observation, we can use the Internet of Things (IoT) devices represented by using a couple of sensors, a servo motor, and ESP32 microcontroller. The system has been connected to the Cayenne interface application to collect sensor data, store it in the cloud, and display it through a graphical user interface. The result shows that the designed system is applicable and can be enhanced by using Artificial Intelligence techniques.
Control and Monitoring, Curtain, ESP32, Sensors, IoT, Cayenne, Manual and Remotely Control.