Wind Power Management using IoT and Wi-Fi
V. Jayalakshmi1, K. Sakthivel2, S. Sherine3
1Dr. V. Jayalakshmi, Associate Professor, Department of EEE, Bharath Institute of Higher Education and Research, (Tamil Nadu), India.
2K. Sakthivel, Assistant Professor, Department of EEE, Bharath Institute of Higher Education and Research, (Tamil Nadu), India.
3S. Sherine, Assistant Professor, Department of EEE, Bharath Institute of Higher Education and Research, (Tamil Nadu), India.
Manuscript received on 13 September 2019 | Revised Manuscript received on 22 September 2019 | Manuscript Published on 10 October 2019 | PP: 28-30 | Volume-8 Issue-6S2 August 2019 | Retrieval Number: F10070886S219/19©BEIESP | DOI: 10.35940/ijeat.F1007.0886S219
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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: As the call for wind power keeps on creating at exponential rates, decreasing activity and redesign costs and improving unwavering quality have come to be zenith needs in wind Mill(WM) upkeep methods. additionally to the improvement of more prominent very created WM plans expected to improve accessibility, the utilization of dependable and cost compelling circumstance observing (CM) procedures offers a green strategy to accomplish this goal.among those exceptional systems temperature,oil degree following and voltage detecting is a principle job. The center objectives of this proposed remote wellness checking frameworks are to find the common wellness circumstance of the framework, to avert debacles brought about by mechanical and electrical flaws, to anticipate the seriousness phase of issue, and to assess the valuable existence of the gadget utilizing net. ,,.
Keywords: ATmega328, Wifi, Temperature Sensor, Oil Level Sensor, Oil Condition Sensor, Voltage Sensor, Vibration Sensor.
Scope of the Article: IoT