Fuzzy Based Web Automation for Smart Power Supply Controller

Home automation is becoming increasingly important in today’s world, with new technologies focusing on providing better user experience and reduced energy consumption. Also, the opportunity of working from home is becoming more common in professional settings, creating a greater need for home automation. An important aspect of such systems is represented by the lighting system, which provides enhanced convenience and efficiency. The present paper focuses on the automation of lighting as a development process that can be done both locally and via the web. The fuzzy logic-based local automation requires three key inputs: the previous light intensity is between 0% - 100%, the relative work mode is between 0 to 24H, and the temperature is between 0°C to 40°C. Time is categorized into working, relaxing, and sleeping mode. The system optimizes lighting based on user behavior and environmental factors to increase energy efficiency. As lighting devices proliferate, power consumption rises. This paper designs an intelligent system using fuzzy logic to manage lighting in smart buildings. Inputs include light intensity measured by an LDR sensor, work culture based on daily phases, and human presence detected by a PIR sensor. The system increases and decreases lighting adjustment when the intensity and the work culture values differ and it sends the data to an ESP8266 Node Wi-Fi microcontroller through a monitoring that is used by the real-time monitoring via an IoT based Web Monitoring tool. Therefore, this system facilitates early warnings of changes in remote parameters, which allow adjustment of the lighting. It can be concluded from the results that the latter are moderate. Technological progress opens the possibility of creating customizable and automated home systems. Smart lighting is an essential part of such systems as it has many advantages, such as being automatic, customizable and user-friendly. The given study is devoted to the issue of the optimization of a home lighting system with the help of fuzzy logic.