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Title	Design Of Smart Street Light Management System Based On Internet Of Things
ID_Doc	18949
Authors	Sun H.; Chen Y.; Wang L.; Song J.; Sun J.; Liu X.
Year	2022
Published	IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2022-October
DOI	http://dx.doi.org/10.1109/IAEAC54830.2022.9930048
Abstract	With the rapid development of social economy and the acceleration of urbanization, energy consumption has increased rapidly, and power resources have become a scarce resource. In order to actively respond to the national green lighting strategy, this paper uses wireless sensor network and Internet of Things technology to design a smart street light management system, and incorporate urban street lights into the new urban Internet of Things system. The system collects the data of the surrounding environment of the street lamp in real time through the street lamp controller with multiple types of sensors installed in the street lamp pole, receives the data of the street lamp node through the LoRa network, and then uploads the data to the cloud monitoring platform through the NB-IoT technology. The city street lamp information is effectively collected and stored; at the same time, combined with WEBGIS technology, the current, voltage, power and other street lamp status data are visually displayed in the electronic map. For abnormal data, the system analyzes, locates and alarms, so as to realize the information interaction between the street light and the cloud platform, the precise control of the street light, and the intelligent monitoring and management. The experimental results show that the system has good stability, can effectively save energy and reduce consumption, and save the costs of management and operation and maintenance. © 2022 IEEE.
Author Keywords	cloud platform; Energy conservation; Intelligent management; NB-IoT Narrowband Internet of Things

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