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Proceedings of International Conference on Computational Intelligence and Data Engineering pp 65–74Cite as

IoT-based Carbon Monoxide Monitoring Model for Transportation Vehicles

Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT,volume 99)

Abstract

The main objective of this work is to develop a prototype model for IoT-based carbon monoxide monitoring in a Raspberry Pi environment for transportation vehicle. Carbon monoxide (CO) is a hurtful gas conveyed by mostly consuming of various carbon-based stimulates. It can cause cerebral agony, ailment, regurgitating and chaos for individuals and essential to condition. From now on, this work finds a response for measure and stalls the level of carbon monoxide spread in the vehicle used for transportation on boulevards. This structure uses MQ-7 gas sensor to follow the substance of carbon monoxide that goes about as a toxic substance in the barometrical air. MQ-7 sensor is used to measure the carbon monoxide level and its clothing to the vehicle. If the carbon monoxide level is accessible, the message will be sent normally to the Pollution Control Board demonstrating the appearance of this level from the vehicle. Hence, the work environment has the ability to record the collection of proof against the vehicle that produces the over pollution. MQ-7 sensor measures the current estimation of the transmitting carbon monoxide from every vehicle, Wi-Fi modules are related with every Raspberry Pi-3, and it will send the message to the PHB-based IoT checking. It might be used in all around for seeing of pollution.

Keywords

  • Internet of Things
  • Raspberry Pi-3
  • CO sensor
  • Relay
  • LCD display

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Author information

Authors and Affiliations

  1. Electrical Engineering Department, The Hashemite University, Zarqa, Jordan

    I. Etier

  2. Department of EEE, Karpagam College of Engineering, Coimbatore, India

    A. Anci Manon Mary

  3. Electrical Engineering Department, Faculty of Engineering, Rabigh, King Abdulaziz University, Jeddah, Saudi Arabia

    Nithiyananthan Kannan

Authors
  1. I. Etier
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  2. A. Anci Manon Mary
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  3. Nithiyananthan Kannan
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Corresponding author

Correspondence to Nithiyananthan Kannan .

Editor information

Editors and Affiliations

  1. University of Calcutta, Kolkata, India

    Dr. Nabendu Chaki

  2. VIT-AP University, Amaravati, India

    Dr. Nagaraju Devarakonda

  3. Ca’ Foscari University, Venice, Italy

    Prof. Agostino Cortesi

  4. VIT-AP University, Amaravati, India

    Dr. Hari Seetha

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Etier, I., Anci Manon Mary, A., Kannan, N. (2022). IoT-based Carbon Monoxide Monitoring Model for Transportation Vehicles. In: Chaki, N., Devarakonda, N., Cortesi, A., Seetha, H. (eds) Proceedings of International Conference on Computational Intelligence and Data Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 99. Springer, Singapore. https://doi.org/10.1007/978-981-16-7182-1_6

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