Advancing Safety Through IoT: Gas Detection and Automation SystemsShow others and affiliations
2024 (English)In: Intelligent Computing and Optimization: Proceedings of the 7th International Conference on Intelligent Computing and Optimization 2023 (ICO2023), Volume 2 / [ed] Pandian Vasant; Vladimir Panchenko; Elias Munapo; Gerhard-Wilhelm Weber; J. Joshua Thomas; Rolly Intan; Mohammad Shamsul Arefin, Springer Science and Business Media Deutschland GmbH , 2024, p. 50-59Chapter in book (Refereed)
Abstract [en]
Cooking food is an everyday task where gas is a necessary resource and leaking of gas might cause economic, financial as well as physical damage to the household. The inspiration for this thesis is to reduce the accidents and damages caused by gas leakage and explosion accidents. Nowadays gas explosion is a common accident Bangladesh is facing against. The fundamental issue is pipeline leakage and people leaving the gas stove on for unnecessary amounts of time. Our paper works on a system where instant precautions are taken to prevent gas leakage will be detected instantly as well as necessary steps will automatically generate such as an exhaust fan will start to generate, the buzzer will instantly start to send the signal, LCD will display the amount of gas leaking. Our system will also cut the power circuit off to prevent an explosion due to leaked gas as well as send an alert message to the owner. To reduce unnecessary use of gas and sudden leakage, our system also monitors ongoing gas usage continuously besides humidity and temperature value to the Blynk app. In comparison to other sensors DHT22 and MQ2 gas sensors gives faster and better gas detection system than others. When compared with other sensors and systems our system gives better and faster results than other researched systems.
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2024. p. 50-59
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389 ; 1167
National Category
Computer Sciences
Research subject
Cyber Security
Identifiers
URN: urn:nbn:se:ltu:diva-111487DOI: 10.1007/978-3-031-73318-5_6Scopus ID: 2-s2.0-85215688571OAI: oai:DiVA.org:ltu-111487DiVA, id: diva2:1935734
Note
ISBN for host publication: 978-3-031-73317-8 (Print), 978-3-031-73318-5 (Online)
2025-02-072025-02-072025-10-21Bibliographically approved