Loading

Enimo-Energy Conservation System
M Sri Teja1, Ashfaq Nisar2, K Vinay Kumar Reddy3, G Vamshi Krishna4

1Makam Sri Teja, B.Tech Student, Department of CSE, Vidya Jyothi Institute of Technology, Hyderabad (Telangana), India.
2Ashfaq Nisar, B.Tech Student, Department of CSE, Vidya Jyothi Institute of Technology, Hyderabad (Telangana), India.
3K Vinay Kumar Reddy, B.Tech Student, Department of CSE, Vidya Jyothi Institute of Technology, Hyderabad (Telangana), India.
4G Vamshi Krishna, B.Tech Student, Department of CSE, Vidya Jyothi Institute of Technology, Hyderabad (Telangana), India.
Manuscript received on 19 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3589-3593 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B14480982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1448.0982S1119
Open Access | Editorial and Publishing 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: In today’s industrial production era, the usage of electricity is on the hike. All industrial machines use either electricity or solar energy. It is crucial for industrial appliances to work without any delays and interruption. To work without any delay, there should be scheduled maintenance from time-to-time and monitor the machine for any voltage hikes. The large-scale industries can afford a good & expensive management systemfor the industrial machinery, but the small and medium scale industries cannot afford such an expensive system. Even, if they do possess an energy management system, the installed system is not up to the mark. To overcome this problem, we proposed a solution that helps in monitoring the performance of industrial machines, which can adapt to different environmental conditions, collect the data from the machines and process it. It not only monitors the appliances but also caters predictive information of appliance fault that can occur in the machine based on the data received. The most important thing is it is very inexpensive compared to other management systems in the market. The name of the proposed solution is “ENIMO” (Energy Information & Monitoring). Enimo can be easily installed with the industrial appliances and be able to customize the dashboard to your liking.
Keywords: Monitoring System, Data Analysis, Management System, Predictions, Cloud, Energy Wastage.
Scope of the Article: RF Energy Harvesting