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Intelligent Illumination: Fuzzy Logic Applications in IoT-Driven Lighting Solutions

  • Rahib Imamguluyev,
  • Tunzala Imanova,
  • Gasanov Elgiz Eldar,
  • Emil Gasimov,
  • Ilham Hajiyev

摘要

The fusion of Internet of Things (IoT) technologies with lighting solutions has ushered in an era of adaptable and energy-efficient illumination systems. At the heart of this evolution lies the incorporation of fuzzy logic, a sophisticated mathematical concept that enhances the intelligence of IoT-driven lighting solutions. This abstract explores the pivotal role of fuzzy logic in enabling lighting systems to interpret data, make informed decisions, and dynamically adjust illumination levels based on real-time conditions. By delving into practical applications such as adaptive lighting control, energy optimization, and human-centric lighting, this abstract highlights the transformative potential of fuzzy logic in shaping smarter and more user-centric environments. The abstract concludes by acknowledging the challenges and future implications of integrating fuzzy logic into IoT-driven lighting solutions, presenting a pathway toward a brighter and more intelligent future in illumination technology.