Abstract
Street lighting, as the most essential and universal component of the urban lighting system, accounts for a large portion of public electricity usage. Therefore, improving street lamps working efficiency is vital for energy savings. This paper demonstrates the design of a smart street lighting system supported by the combination of NB-IoT and LoRa communication technology. By adopting an optimized street lamp control algorithm, the system can realize the automatic control of street lights according to the real-time traffic flow information. This system has been installed on Luyang Avenue, Lucheng City, Shanxi Province, China in May 2019. It managed to reduce the electricity consumption in this region significantly in June 2019, which was 18% lower than that in April 2019 and 19.7% lower than that in June 2018. By illustrating the unique advantages of this system in energy savings and cost reduction, this paper displays its potential for further application in the construction of smart cities on a large scale.
Highlights
As a common source of lighting, street lamp is an important part of urban road lighting system
In terms of the monitoring of traffic flow, Pilar Elejoste et al.[18] proposed a street lamp control system based on wireless communication and LED technology in 2013, which could detect the flow of vehicle flow and the running condition of the street lamps
Considering that other interference factors such as leaf fluttering caused by wind or running of small animals may lead to the misjudgment of Motion Detector Unit (MDU) and lighting up street lamps will result in further power dissipation, the digital potentiometer and amplitude discrimination are used in the hardware circuit design to adjust the feedback resistance of the amplifier circuit to realize the programmable processing of the output signal of MDU
Summary
As a common source of lighting, street lamp is an important part of urban road lighting system. In terms of the monitoring of traffic flow, Pilar Elejoste et al.[18] proposed a street lamp control system based on wireless communication and LED technology in 2013, which could detect the flow of vehicle flow and the running condition of the street lamps. The algorithm implementation of the intelligent streetlight control system based on artificial intelligence technology is relatively complex, and the requirements for hardware circuit components are relatively high, which make it not easy to large-scale field applications. The proposed system adopted low-power hardware circuit components and communication technology and combined with a streamlined street lamp control strategy, which could intelligently adjust the lighting time of the street lamp according to the traffic flow.
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