With increasing urbanization, energy-efficient infrastructure is crucial for sustainable development. This paper explores a solution by integrating energy-generating footpaths with adaptive smart streetlights, managed via IoT technology. Piezoelectric materials embedded in footpaths convert pedestrian footsteps into electricity, which is stored in batteries or supercapacitors to power streetlights and other low-energy devices, reducing reliance on traditional power sources. This is particularly effective in high-traffic areas like malls and parks, where consistent foot traffic can generate significant energy. The smart streetlights use sensors to adjust brightness based on movement and ambient light, saving energy while ensuring public safety. Managed through an IoT platform, the system allows for remote monitoring and maintenance, optimizing energy usage and reducing operational costs. This approach is adaptable and scalable, fitting a variety of environments, from busy urban centers to smaller communities. It promotes awareness of how simple actions, like walking, contribute to energy production of around 4V. Additionally, the streetlights have safety features that automatically adjust brightness in high-traffic areas to enhance security. In conclusion, combining energy-harvesting footpaths with adaptive smart streetlights offers a sustainable, efficient solution by saving 60% of energy for modern cities, enhancing safety, and contributing to greener urban spaces.

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Energy Generating Footpaths with Adaptive Smart Street Light Using IOT

  • R. Hemanth Kumar,
  • B. R. Shobha Rani

摘要

With increasing urbanization, energy-efficient infrastructure is crucial for sustainable development. This paper explores a solution by integrating energy-generating footpaths with adaptive smart streetlights, managed via IoT technology. Piezoelectric materials embedded in footpaths convert pedestrian footsteps into electricity, which is stored in batteries or supercapacitors to power streetlights and other low-energy devices, reducing reliance on traditional power sources. This is particularly effective in high-traffic areas like malls and parks, where consistent foot traffic can generate significant energy. The smart streetlights use sensors to adjust brightness based on movement and ambient light, saving energy while ensuring public safety. Managed through an IoT platform, the system allows for remote monitoring and maintenance, optimizing energy usage and reducing operational costs. This approach is adaptable and scalable, fitting a variety of environments, from busy urban centers to smaller communities. It promotes awareness of how simple actions, like walking, contribute to energy production of around 4V. Additionally, the streetlights have safety features that automatically adjust brightness in high-traffic areas to enhance security. In conclusion, combining energy-harvesting footpaths with adaptive smart streetlights offers a sustainable, efficient solution by saving 60% of energy for modern cities, enhancing safety, and contributing to greener urban spaces.