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.

Towards smart street lighting system in Malaysia

Abstract: Smart street lighting system is one of the technologies that support green environmental related works. The technology that evolves with the advance in wireless communication and low energy street light has become the foundation in the development of smart cities. This paper presents preliminary work towards the development of a complete smart street lighting system focusing on Malaysian environment. The system integrates Wireless Sensor Network (WSN) concept in the development, utilizing Waspmote as a sensor node, Meshlium gateway and computer as a server. The sensor node can be used to monitor the running status information, amount of energy use and dimming time of the street light for data logging purposes. The developed system found to save energy through the method of controlling the light intensity using Pulse Width Modulation (PWM) technique.

Design and implementation of smart solar LED street light

Abstract: This paper proposes energy efficient of smart street lighting system using low cost microcontroller based Arduino. The main objective is to design energy efficient smart streetlight for energy conservation in existing streetlights of rural area, urban area and exclusively for smart cities. The system consists of LED luminaire, LED driver, PV panel, charge controller light sensor, motion sensor, Arduino. The smart streetlight is controlled on the basis of traffic on road and day/night time [8]. The system is programmed to automatically turn off during the hours of daylight and only operate during the night and heavy raining or bad weather. Many times we see that street lights are remain switched ON even during day time, this is total of wastes of electricity while India is facing lack of electricity. Another problem is the traditional street lamp e.g. Sodium vapour, Metal halide, Incandescent, Fluorescent lamps consumes more power as compared to new advanced Led Lights. Streetlights can be operated free of cost by using automatic controlled, self-powered, efficient solar LED street light.

Intelligent Energy Efficient Street Light Controlling System based on IoT for Smart City

Abstract: In day to day life electricity has been an area of concern worldwide. There are not much sources for non-renewable sources and most of the power generation stations, they are based on fuels that are conventional. In order make ourselves independent of these sources of energy, it is recommended that we proceed on to the new and renewable power sources like solar and wind. We can also make effective utilization of the conventional and non-renewable sources for a proper usage of electricity, so that we do not run into shortage of power. Street lights are one of the consumable sources of electricity that are essential parts of the day to day life. The conventional street lighting systems require manual operation and also consume a large amount of power as they are in powered on condition from evening to early morning. The conventional manual operated street lighting systems consume a large amount of power, need manual operators and heavy cost on installation which has been a great disadvantage and an area of major concern. The costs of energy can be reduced immediately to 35% through intelligent on/off mechanism and targeted progressive dimming and organized way of power consumption. We can reduce the overall consumption costs up to 42% by proper maintenance.The proposed approach uses an energy effective approach that controls the street lights by automatically switching them when there are people or vehicles around the post when it is dark. The smart street lighting system is so flexible and it consists of various sensors and a controller which make it as an intelligent street lighting system. Thus it overcomes the disadvantages of the conventional Street Lighting System.

Automated Extraction of Street Lights From JL1-3B Nighttime Light Data and Assessment of Their Solar Energy Potential

Abstract: To realize energy conservation and environmental protection, solar street lights have been widely used in urban areas in China. To reasonably and effectively utilize solar street lights, the original street lights must be located, and the solar street light potential must be assessed. The Jilin1-03B (JL1-3B) satellite provides next-generation nighttime light data with a high spatial resolution and in three spectral bands. Consequently, the street lights can be extracted from the nighttime light data. We used the road network dataset from the open street map with a specific buffer to extract the road area as a constraint region. Next, the grayscale brightness of JL1-3B images was obtained by integrating all the three bands to locate the street light by using a local maximum algorithm. Then, the values of the original three bands were utilized to classify the types of street lights as high-pressure sodium (HPS) lamps or light-emitting diode lamps. Finally, we simulated the replacement of all the HPS lamps with solar street lights and assessed the corresponding solar energy potential by using the digital surface model data and hourly cloud cover data through the SHORTWAVE-C model. The accuracy of location of the street lights was approximately 90%. Replacing an HPS lamp by one solar street light for 20 years can save 1.85 × 104 kWh of electrical energy, 7.41 t of standard coal, 5.03 t of C emissions, 18.47 t of CO2 emissions, 0.55 t of SO2 emissions, and 0.28 t of NOX emissions.