Abstract
Toxic fumes possess tremendous environmental and life-threatening impacts. People are undergoing several diseases due to these and few lost their life as well. Proper detection of toxic fumes leakage is important for the industries which are within our localities. With this respect, we propose a prototype for sensing the toxic fumes leakage in the industry. Gas leakage can be easily be detected and controlled by using the Internet of things. This project is proposed to avoid industrial mishaps and to monitor harmful fumes and chemicals, switch off the mainline when leakage is found, and generate alarm messages to the director of the industry in real time using recent technology the Internet of things. NODEMCUESP8266 Wi-Fi module is used as a primary microcontroller that is attached to the sensors, such as temperature and variety of fumes sensors, which can continuously monitor leakage. A warning alarm is generated immediately if any leakage is found in either pipeline of the system and the main gas knob is turned off immediately. Data collected by the sensors is saved in the database which can be utilized for further processing and it can be analyzed for developing security management, and monitoring application (Web site or android app) can be used as safety care for workers.
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Glossary
- MQ9, MQ135
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Gas sensors
- IoT
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Internet of things
- Wi-Fi
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Wireless fidelity
- LCD
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Liquid crystal display
- USB
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Universal Serial Bus
- PWM
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Pulse width modulation
- DC
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Direct current
- DHT 22
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Temperature sensor
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Dutta, P.K., Vinayak, A., Kumari, S., Hussain, M. (2021). Early Detection of Poisonous Gas Leakage in Pipelines in an Industrial Environment Using Gas Sensor, Automated with IoT. In: Bansal, J.C., Fung, L.C.C., Simic, M., Ghosh, A. (eds) Advances in Applications of Data-Driven Computing. Advances in Intelligent Systems and Computing, vol 1319. Springer, Singapore. https://doi.org/10.1007/978-981-33-6919-1_12
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DOI: https://doi.org/10.1007/978-981-33-6919-1_12
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