Street-lights with Automated Weather Updating System and IoT Control
J.Jean Justus1, S. Mannish2, S. Madhumithaa3
1Dr.J. Jean Justus, Associate Professor in the Department of CSE, St.Joseph’s College of Engineering, Chennai.
Mannish, Pursuing his B.E Degree in Computer Science and Engineering at St Joseph’s College of Engineering, Chennai.
S. Madhumithaa, Pursuing her B.E Degree in Computer Science and Engineering at St Joseph’s College of Engineering Chennai.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3961-3966 | Volume-8 Issue-12, October 2019. | Retrieval Number: L34681081219/2019©BEIESP | DOI: 10.35940/ijitee.L3468.1081219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Street lights are very essential towards the development of a city and are unknowingly one of the most crucial factors in our day-to-day life. The street lights largely used today are based on providing lighting to citizens but, over looks on environmental issues such as heat dissipation or the amount of electricity consumed. As energy-saving and cost reduction has become crucial right now, it is necessary that we improve standards of the street lights with upcoming technologies to make it efficient. The street lights that focus on saving electricity and providing environmentally friendly lights are based on solar energy. But this implementation does not manage the solar energy used by the street lights nor supervise the power stored in the solar cell to extend the same capacity of power being used in a longer period. This results in street light wasting power in unwanted situations such as being turned on during daytime and most times not working when required such as in times of rain and during days when fog collects hindering visibility. Also, manual work is required to manage the street lights along with repairs and maintenance. Therefore, human error cannot be avoided. To overcome these situations, our solution is to automate streetlights that turn on during night and poor visibility also automatically turn off when there is sufficient light in that particular region. Battery management and street light control as a backup in case of failure or equipment damage via the network are also essential for complete automation in our implementation. Thus, this implementation accepts weather patterns via network and manages the power stored in the solar bank used to provide longer battery life in case of rain or storm in a region. Finally, it reduces the watts consumed and by extension the running cost which from the working prototype gives a power savings of 50 – 60% in terms of cost.
Keywords: Battery Management , Energy Conservation, IoT, Solar Energy, Weather Updation
Scope of the Article: IoT