Volume : IX, Issue : II, February - 2020

Toxic Gas Detection and Analysis Using IoT

Ahmed Shoeb, Y S Rao

Abstract :

Internet of Things (IoT) is the drifting concept introduced in the smart world. In this project, we have deployed IoT model hardware to get easy remote access through the internet. Industrial Internet of Things (IIoT) is a new concept that contributes to industrialization. In order to make the proposed device much smarter, various technologies such as Machine Learning (ML) and Statistic Data Analytics along with the IoT have been incorporated in this work. This device gathers real–time data and analyzes it appropriately, As it is known, the main element of self–driving philosophy using IoT is a smart machine that captures the data and needs human intervention. Also for better results, the communication of necessary information is a must. This work specifically focusses on safety concerns for the workers working in industrial areas. In this work, we provide a prediction of the value of toxic gases through continuous monitoring, to reduce industrial accidents. Since the intake of gases has an adverse effect on human health. To achieve this ML regression algorithm is used. The work is carried out by the IoT cloud platform. The proposed prototype consists of UCD3138128 microcontroller, ESP 8266 (Wi–Fi protocol) and Gas sensor MQ–7.

Keywords :

Article: Download PDF    DOI : 10.36106/ijsr  

Cite This Article:

TOXIC GAS DETECTION AND ANALYSIS USING IOT, Ahmed Shoeb, Y S Rao INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH : Volume-9 | Issue-2 | February-2020

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