부산대학교 도서관

Street lighting uses a lot of electricity around the world. Street lights in most cities are only managed regularly and the quality of service is very low. The worst levels will be caused by constraints on available resources, very limited equipment instrumentation, inappropriate system operation, and poor network maintenance. The goal of the current research is to build and develop a highly IoT-dependent smart city based on ESP8266. Its main goal is to create a subway IoT system that contributes to the development of smart cities and uses online cloud computing to solve real-time problems. Thanks to the Internet of Things, street lighting and water management are now two factors that are automatically managed in smart cities and rural areas. In our current work, we tend to focus more on using Internet of Things (IoT) devices to remotely control street lighting. IoT will allow access to real-time street lighting data (on/off status) anytime, anywhere. IoT is nothing more than a network that uses software, sensors, and connectivity to control and monitor data anytime, anywhere. The central office can conduct observations from anywhere. Data that is continuously stored in the cloud via BLYNK local servers and efficient client-server connections is visible to us in real time. Such automated systems will work more efficiently than manual systems, saving manpower and increasing the accuracy of the system. Electricity prices continue to rise as more and more energy is wasted. Saving energy is now absolutely necessary. To improve efficiency, a technology called street lighting monitoring to automatically control street lighting was created. The main reason for the work is to save energy.