MAINTENANCE OF WINDMILLS WITH LoRa WAN
##plugins.themes.academic_pro.article.sidebar##
Downloads
##plugins.themes.academic_pro.article.main##
Abstract
Windmill energy resource sector is booming which can mean only one thing more maintenance work & more jobs related to it, as well as dealing with it swiftly would be need of the hour. IoT which is new developing sector as well would be beneficial if it works hand in hand with the renewable energy resource sector. Sensor data acquisition is our first task, then data transmission is done by LoRa (Long Range Module) & GSM. LoRa is chosen for its ability to work under low to no internet coverage area & would be ideal due to its chirp spread spectrum. The third task is to get an accurate computer vision-based system to detect exterior flaws like windmill blade crack detection etc. The final task is to get graphical analysis of all the sensor data which would be obtained via ThingSpeak.
##plugins.themes.academic_pro.article.details##
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
- Global wind turbine market article posted by Power Technology
- IOT based Windmill Monitoring System by Vishal Kumar Singh, Department of Electronics and Communication, SIT, Tumkur.
- Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges by Pierre Tchakoua, Gabriel Ekemb, Department of Applied Sciences, University of Quebec.
- Maven Solution India PVT LTD.
- State of the Art of Maintenance Applied to Wind Turbines, by Luis Barberá, Alejandro Guerrero, Adolfo Crespo Marquez, Vicente Gonzalez-Prida.
- YOLOv3: An Incremental Improvement by Joseph Redmon, Ali Farhadi University of Washington
- A Study of LoRa Low Power and Wide Area Network Technology, Umber Noreen, Ahcène Bounceur, Laurent Clavier .
- Crack detection using image processing: A critical review and analysis, Arun Mohan, Sumathi Poobal
- Damage mitigation techniques in wind turbine blades: A review, by Md Abu Shohag, Emily Catherine Hammel,David Olawale, O.I. Okoli.