Street light

About: Street light is a research topic. Over the lifetime, 319 publications have been published within this topic receiving 1576 citations. The topic is also known as: streetlamp & street lamp.

IOT Based Smart Street Lights

Abstract: Streetlights are among a city’s strategic assets- providing safe roads, inviting public areas, and enhanced security in homes, businesses, and city centers. However they are usually very costly to operate, and they use in average 40% of a city’s electricity spending. Since the cost of electricity continues to rise and as wasting energy is a growing concern for public and authorities, it’s becoming crucial that municipalities, highway companies and other streetlight owners deploy control systems to dim the lights at the right light level at the right time, to automatically identify lamp and electrical failures and enable real time control. This project describes a new economical solution of street light control systems. We want to provide IP address to street lights (IOT) so that the base server can control the whole city’s street lights using internet. The main motive behind implementing this project is to save energy.

POWER SAVER STREET LIGHTING USING MICROCONTROLLER USING ATmega16

Abstract: Street lights remain illuminated for whole nights and most of them used for lighting-up of highways are high energy consumption lamps. Preservation and sustainable use of energy and resources is an important factor of planning and development these days as Natural resources are depleting day by day, which pose a risk of scarcity and non-availability of the same for our presidenting generations. There is an acute need for devising a well thought out plan to prevent wastage of electricity. Perhaps, the government should think of implementing automatic street light control systems using LDR (light dependent resistor). This review paper illustrates the street light illumination system automated by the movement (frequency) of vehicles on that particular street. The crux of this paper is to emancipate the necessity and usage of street light control systems which combines various technologies is Timers, Photodiodes, Light Emitting Diodes (LED), and IR Sensors.

LED street light configured for tool-less installation and a method of installation

Abstract: An LED street light comprising a housing having a support arm extending from a light emitting portion is presently disclosed. The support arm is configured and disposed to tool-lessly fastened and unfastened to and from a street light post. An LED PCB having an array of LEDs is tool-lessly removably held in the light emitting portion of the LED street light. A tool-lessly removable driver is housed in the LED street light. A method of installing the street light of the present disclosure to a light post is also disclosed herein.

Smart Street Lighting with Reduced Sensors for Sustainable and Efficient Smart Cities

Abstract: Street Lights are absolutely important and without them, people would be risking their life every minute they spend on the roads. The main problem involved in street light hardware system is excessive consumption of power. This amount of power consumption can be minimized by designing smart street lighting systems in order to have smart cities. To enable the growth of smart cities and help them shape into self-sustaining, energy harvesting, green hubs, the energy must be conserved. To solve this problem there are many smart street lighting methods which discussed efficient ways to conserve power. To support the financial needs of some of the proposed methods, a struggling economy like India would not be able to afford the costs. However, to make it truly smart and affordable, the number of sensors involved in the street lighting system can be reduced strategically to account for driver’s visibility range as well as power consumed by the lights. The algorithm discussed in this paper, takes advantage of Cellular Automata [CA], to simulate the traffic similar to real-time traffic and utilized Bernoulli’s probability distribution to analyze the randomized the traffic present on the roads. This helped to visualize the situation as aptly as possible. According to the statistics street lights use up nearly 38% of the electricity produced. If this energy is saved using an energy saving scheme such as the one discussed in this paper, that energy can be utilized elsewhere – where there is an absolute and immediate need, for instance smart cities. According to the results obtained through the utilization of the method discussed in this paper, nearly 50 percent of the energy consumed by the existing smart street lighting systems can be saved. If the energy thus saved is transferred to the development of the smart cities, more than 100 of them can achieve full transition from an urban city into a smart city.