Industrial Fuel Control using Cloud Management
Elakya R1, K.S.Srivastavan Iyer2, M.Vignesh3, Vyshnav A K4, Dhanashekaran V5
1K.S.Srivastavan Iyer, UG Scholar, Department of CSE,SRM Institute Of Science And Technology, Chennai, (Tamil Nadu), India.
2M. Vignesh, UG Scholar, Department of CSE,SRM Institute Of Science And Technology, Chennai, (Tamil Nadu), India.
3Vyshnav A K, UG Scholar, Department of CSE,SRM Institute Of Science And Technology, Chennai, (Tamil Nadu), India.
4Dhanashekaran V, UG Scholar, Department of CSE,SRM Institute Of Science And Technology, Chennai, (Tamil Nadu), India.
5Elakya R, Asst Prof, Department of CSE,SRM Institute Of Science And Technology, Chennai, (Tamil Nadu), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1918-1921 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2618037619/19©BEIESP
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© 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: Indication, Rectification and Database management are the important parameters should be maintained in the industries. The part of our project is to satisfy the above parameters in the domain of fuel distribution system in the industries. The proposed system continuously senses the fuel leakages in the distribution line. The use of cloud computing applications makes the monitoring a valid concern. Due to the multiple failure points that will be raised in both hardware and software, monitoring in cloud computing has become difficult. So, we choose cloud management technology over this area to solve the issue using the modules that had been mentioned in our proposed system. Whenever fuel leaks, our system will find out and stop the distribution of fuel by closing the valves automatically and further sends alert to the safety team in terms of visual and hearing indication. With these operations, we create the database of the leakage incidents and will be stored in the internet by means of IoT using Cloud Management.
Keywords: Database management, cloud computing, Rectification, Fuel leakage and control
Scope of the Article: Database Theory and Application