INTELLIGENCE POWER GENERATION AND AN OPTIMAL LIGHTING SYSTEM
Archana G S
, Anvitha T R , Poornima , Shivangi G R , Akshay R Narayanakar
Internet of Things ,sensors, ThingSpeak, cloud computing, security monitoring
This project aims for designing and executing the advanced development in embedded systems for energy saving of street lights. Currently we have a manual system where the street lights will be switched ON in the evening before the sunsets and they are switched OFF in the next day morning after there is sufficient light on the outside. But the actual timing for these lights to be switched ON is when there is absolute darkness. With this, the power will be wasted up to some extent. This project gives solution for electrical power wastage. Also the manual operation of the lighting system is completely eliminated. The proposed system provide a solution for energy saving. This is achieved by sensing and approaching a vehicle using ultra sonic sensor. Upon sensing the movement the sensor transmit the data to the computer which furthermore the Light to switch ON. Similarly as soon as the vehicle or an obstacle goes away the Light gets switched OFF as the sensor sense any object. At the same time the status (ON/OFF) of the street light can be accessed from anywhere and anytime through internet. This project is implemented with smart embedded system which controls the street lights based on detection of vehicles or any other obstacles on the street. Whenever the obstacle is detected on the street within the specified time the light will get automatically ON/OFF according to the obstacle detection. The real time information of the street light (ON/OFF Status) can be accessed from anytime, anywhere through internet.
"INTELLIGENCE POWER GENERATION AND AN OPTIMAL LIGHTING SYSTEM", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 8, page no.37 - 41, August-2018, Available :https://ijsdr.org/papers/IJSDR1808005.pdf
Volume 3
Issue 8,
August-2018
Pages : 37 - 41
Paper Reg. ID: IJSDR_180560
Published Paper Id: IJSDR1808005
Downloads: 000347150
Research Area: Engineering
Country: Davanagere, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
