STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Microcontroller Engineering and Applications Review Article

An Efficient LoRa-Enabled Fault Detection Using Self-Powered IoT Device

  1. Yashaswini T. Department of Electrical and Electronics Engineering, Dayananda Sagar College of Engineering
  2. Supriya J Department of Electrical and Electronics Engineering, Dayananda Sagar College of Engineering
  3. Sahana V Department of Electrical and Electronics Engineering, Dayananda Sagar College of Engineering
  4. Safira Fatima Department of Electrical and Electronics Engineering, Dayananda Sagar College of Engineering

Abstract

This study describes a revolutionary internet of things (IoT) solution for effective defect detection in a variety of applications. By utilizing an IoT device that generates energy from the surroundings, the suggested solution gets around the drawbacks of conventional battery-operated gadgets. The suggested approach makes use of a self-sustaining IoT gadget that can capture energy from the surroundings to get beyond the drawbacks of conventional battery-powered IoT devices. Longer functioning without frequent battery changes or external power sources is ensured by this architecture. The system makes use of LoRa technology's long-range, low-power characteristics to provide dependable data transfer over long distances, even in difficult or faraway places. The self-powered IoT device uses sophisticated sensors to gather vital operational data, which is then sent to a cloud-based platform for analysis. The self-powered IoT gadget gathers vital information about the functioning of the monitored system by incorporating cutting-edge sensor technologies. After that, this data is sent to a cloud-based platform that uses advanced fault detection algorithms. These algorithms examine the gathered data to spot irregularities, forecast any problems, and promptly notify the appropriate parties. The efficacy of several fault detection methods is examined in the study. The design and execution of the self-powered IoT device are also examined in the article, with particular attention paid to sensors selection, power management tactics, and energy harvesting methods. Additionally covered will be the LoRa communication module, emphasizing its function in guaranteeing dependable data transfer and network connectivity. According to data from experiments, the system can effectively and independently identify defects, which makes it a useful tool for condition surveillance and predictive maintenance in a variety of industrial applications. To sum up, this study presents a novel IoT system that tackles the difficulties posed by conventional fault detection techniques. The suggested system provides a dependable and sustainable surveillance solution by fusing self-powered technology with LoRa communication.

Keywords

References (44)

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