MICROCONTROLLER-BASED INTELLIGENT LIGHTING CONTROL SYSTEM WITH ADAPTATION TO ENVIRONMENTAL CONDITIONS

Abstract

Relevance. The growing need for energy-efficient lighting solutions and the development of smart home technologies create the need to develop intelligent lighting control systems. Modern systems must adapt to changing environmental conditions, ensure user comfort and significantly reduce energy consumption. Research object: intelligent lighting control systems based on microcontrollers with functions of adaptation to environmental conditions. Purpose of the article: conducting an analytical review of existing intelligent lighting control solutions, determining optimal technical solutions and identifying promising development directions. Research results: A comprehensive analysis of modern intelligent lighting control systems was conducted, key technologies of sensors, microcontrollers and adaptation algorithms were considered. The advantages and disadvantages of the main commercial solutions were identified, and optimal hardware and software platforms were identified. Conclusions. Intelligent lighting control systems demonstrate significant potential for energy savings (up to 60%) and increased user comfort. The most promising solutions are based on 32-bit ARM Cortex-M microcontrollers with integration of multiple sensors and machine learning algorithms.