An Implementation of High Efficient Smart Street Light Management System for Smart City

Abstract

Street light are among the most common infrastructure in cities. Street lights and sensors can be combined to generate an interface of data collection. The analysis of massive data serves as an integral element of a smart city. This paper proposes a highly efficient system for the configuration, deployment, and management of smart street lights. The features of fast deployment and high scalability of the container-based system management result in virtual deployment. Additionally, for database design, NoSQL and in-memory databases are integrated to realize flexible data management. In terms of data transmission, this paper designs an asymmetric key and an SSH encrypted tunnel. Moreover, when all the services are connected, it conducts legitimacy validation via a token. Therefore, this system can help meet the demands for data throughput, lowlatency, configuration, and realization of a smart city. It boasts high efficiency and security. Besides, it offers a flexible data storage and management service to facilitate the massive data processing of a smart city. With respect to experiments, this paper designs a street lighting simulation system with edge computing devices (consisting of a micro-controller, a sensor, and an IP camera) and a street lighting function. The system collects real-time sensed environmental data, enables live streaming of images, and offers an API for historical data query. This paper utilizes container-based virtualization to deploy all edge computing devices on the server and validates the feasibility of simultaneous operation of multiple container-based services on edge computing devices. This system has high commercial value.

Smart City: Recent Advances in Intelligent Street Lighting Systems Based on IoT

“…A street lighting management system that consisted of one web-based cloud management platform, one set of edge devices (a single-board computer, a microcontroller, sensors, and an IP camera), and a real-time lighting control function was proposed [32]. It was also proposed to extract travel parameters from the signatures of received signal strengths that stem from the behaviors of vehicles and pedestrians moving on the road, and dimming street lights accordingly [33].…”

“…Another point is that real-time information on energy usage can help in optimization and grid management. An efficient system for smart street lights was proposed by [32]. This system includes configuration, deployment, and management.…”

Internet of things and fuzzy logic for smart street lighting prototypes

“…The electrical energy consumed each month on this prototype is 0.746 x 12 hours x 30 days, which is 268.56 Watt-hours (Wh). As in previous studies, energy conservation is part of this study's intent [26].…”

A Low-Power and Low Cost Smart Streetlight System Based on Internet of Things Technology

“…Traditional street lamp control methods such as manual, induction, and timing control are low in intelligence and cannot meet the requires of modern urban construction. With the rapid development of communication and microelectronics technology, intelligent streetlight system with Internet of Things [5][6][7][8][9][10][11][12][13] has gradually become the most potential research field, such as using wireless network technology like ZigBee to monitor the status of street lamps and to detect traffic flow and environment.…”