In remote border and island areas with limited infrastructure and no access to the national grid, efficient and sustainable lighting solutions are essential. Addressing this need, a local research team has successfully implemented an intelligent lighting system using solar energy integrated with the Internet of Things (IoT) and artificial intelligence (AI) technology.
The project, designed and developed by Rang Dong Light Source and Vacuum Flask JSC, has been tested in various Vietnam border and island areas. The results are promising: They show that the system operates stably, providing lighting for daily activities and security while minimizing environmental impact.
The intelligent lighting system uses solar panels to capture sunlight and convert it into electricity, which is then stored in batteries. These batteries power high-efficiency LED lights. The system incorporates IoT sensors to collect light, temperature, humidity, and battery status data, which is then sent to a control center for remote monitoring and management. AI analyzes the collected data, makes predictions, and adjusts operations to optimize lighting performance and extend battery life.
The trial locations for this project included several remote border and island areas in Vietnam. These communities have specific lighting needs previously unmet due to their isolation from the national grid. The intelligent lighting system has significantly improved daily life and security in these regions. Residents now have reliable lighting for their homes and streets, enhancing safety and enabling nighttime activities.
The success of this intelligent lighting system opens up possibilities for further development and expansion. Plans are underway to scale the project to more remote areas, enhance its sustainability, and integrate additional smart technologies.
The intelligent lighting system developed by Rang Dong Light Source and Vacuum Flask JSC represents a significant breakthrough in providing sustainable lighting solutions to remote areas. By leveraging solar energy, IoT, and AI, this project not only meets the immediate lighting needs of these communities but also sets a precedent for future innovations in renewable energy and smart technology applications.