Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
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Article Number | 01063 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/e3sconf/202339101063 | |
Published online | 05 June 2023 |
Gas Leakage Detection System Using IoT And cloud Technology: A Review
1 Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad - 500075
2 Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad - 500075
3 Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad - 500075
4 Department of Information and Technology, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad - 500090
* Corresponding author: Praveensharmavavilala@gmail.com
In industries and other locations gas leakage causes number of negative health effects .so an early detection of gas leakage and alertness will reduce the damage and save human life’s. Gas leakage techniques, trends and sensors are constantly evolving, and it is important for developers and researchers to stay up-to-date on the latest advancements. This paper conducts a systematic literature review on current state of gas leakage detection using Internet of Things (IOT) and Cloud technology. It explores the various sensor-based and non-sensor based IOT systems available for gas leakage detection, and their relative advantages and disadvantages. Additionally, this review summarizes current trends and challenges in the field of gas leakage detection, and discusses future research directions for improving the reliability and accuracy of these systems. This literature review highlights the need for more efficient, cost effective, and scalable IOT-based solutions for gas leakage detection.
Key words: IoT / MQ Sensor and Arduino
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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