Smart street lights is a project on intelligent illumination control of street lights to optimize the problem of power consumption and illumination of the streets, late in the night. It regulates the streetlight intensity according to the traffic and daylight state. It releases the manual work atmos
IOT Based Design of Automatic Fault Detection and Efficient Energy Management for Street Light
Smart street lights is a project on intelligent illumination control of street lights to optimize the problem of power consumption and illumination of the streets, late in the night. It regulates the streetlight intensity according to the traffic and daylight state. It releases the manual work atmost upto 100%. As soon as the sunlight goes under the visible region of our eyes this system automatically switches ON lights. Light Dependant Resistor (LDR) is a type of sensor which actually does this work and senses the light as our eyes does. As soon as the sunlight comes, visible to our eyes it automatically switches OFF lights. This is automated system to detect the faults in street lights system automatically and also intimates and updates the problem in internet of things (IOT). This system improves the detection system in faulty street lights (FSLS) and it eliminates the delay on rectification. However, this system should enable the sensor network and real time status reports
The role of smart lighting solutions in the intelligent transformation of cities and buildings has gained momentum in the past years. This development will continue in the coming years based on increased connectivity and industrial internet of things (IIoT) solutions becoming a key element in most smart city strategies around the globe. The opportunities that cities can seize with the installation of smart lighting solutions go far beyond value creation through energy (cost) and maintenance savings (which are huge considering that as much as 40 percent of a city’s energy budget is consumed by street lighting and new efficient lighting can save up to 50% of these costs as a result of increased energy efficiency) or the improvement of the environmental impact.
• Increased citizen satisfaction. Smart street lights
contribute to more livable cities by helping to improve
safety and reduce congestion.
• Reduced energy cost. Smart street lights more
efficiently manage electricity, leading to greater cost
savings compared to simple LED luminaires.
• Increased revenue opportunities. Smart street lights
can provide new revenue opportunities with digital
signage and other capabilities.
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.Therefore, this system can help meet the demands for data throughput, low-latency, 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 system has high commercial value.
The technology behind smart streetlights can vary depending on its features and requirements, but typically, it involves a combination of cameras and sensors. When implemented on standard streetlights, these devices can detect movement that enables dynamic lighting and dimming. It also allows neighboring fixtures to communicate with each other. If a pedestrian or car is detected, all surrounding lights will brighten until movement is no longer captured.
Capabilities of a smart streetlight
Additional capabilities of smart streetlights may require more technology, such as image sensors, seismic sensors, sound sensors, speakers, weather and water detection sensors, and wireless transmitters.
After smart streetlights are installed, most vendors offer software that can help cities monitor and manage the technology. This software can also be used to gather any data collected by the streetlights and adjust its features, such as dimming time.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Arduino Mega | Equipment | 1 | 4500 | 4500 |
| LCD 20*4 | Equipment | 3 | 950 | 2850 |
| Wifi ESP8266-12E | Equipment | 1 | 480 | 480 |
| Potential transformer | Equipment | 1 | 750 | 750 |
| Current transformer 5A | Equipment | 1 | 850 | 850 |
| BDA136 | Equipment | 6 | 300 | 1800 |
| MOC3021 | Equipment | 6 | 150 | 900 |
| LDR sensor | Equipment | 6 | 150 | 900 |
| Multiplexer | Equipment | 1 | 350 | 350 |
| Buck converter LM2596 | Equipment | 1 | 550 | 550 |
| IR sensors | Equipment | 6 | 150 | 900 |
| Transformer | Equipment | 1 | 650 | 650 |
| LED bulbs | Equipment | 6 | 450 | 2700 |
| LED mega | Equipment | 2 | 1200 | 2400 |
| Holders | Equipment | 6 | 100 | 600 |
| Wire | Equipment | 1 | 200 | 200 |
| Switches | Equipment | 3 | 50 | 150 |
| Soldering iron kit | Equipment | 1 | 500 | 500 |
| Cart board | Miscellaneous | 1 | 900 | 900 |
| Charts | Miscellaneous | 4 | 20 | 80 |
| Colours | Miscellaneous | 1 | 140 | 140 |
| Glue gun | Equipment | 1 | 500 | 500 |
| Glue sticks | Equipment | 6 | 40 | 240 |
| Poles | Equipment | 6 | 180 | 1080 |
| Faults indication lights | Equipment | 10 | 5 | 50 |
| Markers | Miscellaneous | 2 | 25 | 50 |
| Total in (Rs) | 25070 |
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