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Detection System for Domestic Environmental Pollutants Based on ThingSpeak

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HCI International 2023 Posters (HCII 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1835))

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Abstract

Internet of things platforms is essential components for project development with connectivity. Thus, these have positioned themselves in the market by offering multiple cloud services, such as a database, application programming interface, and more. This paper presents a system that collects data from air concentration sensors to detect the presence of pollutants. The electronic circuit uses a system-on-chip with WiFi connectivity and the MQ2 and MQ3 sensors, which detect liquefied petroleum gas and alcohol concentrations in the air, respectively. The system is based on the ThingSpeak platform, which receives and graphs data to see readings outside expected ranges. The results present the concentration levels of the MQ2 and MQ3 sensors, indicating the correct functioning of the system, and future applications of the proposed design are discussed.

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Authors and Affiliations

  1. Centro de Investigaciones de Ciencias Humanas y de la Educación - CICHE, Universidad Indoamérica, Ambato, 180103, Ecuador

    José Varela-Aldás

  2. SISAu Research Group, Facultad de Ingeniería, Industria y Producción, Universidad Indoamérica, Ambato, 180103, Ecuador

    José Varela-Aldás, Mario Miranda & Guillermo Lasluisa

Authors
  1. José Varela-Aldás
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  2. Mario Miranda
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  3. Guillermo Lasluisa
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Corresponding author

Correspondence to José Varela-Aldás .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology - Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology - Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  3. Foundation for Research and Technology - Hellas (FORTH), Heraklion, Crete, Greece

    Stavroula Ntoa

  4. University of Central Florida, Orlando, FL, USA

    Gavriel Salvendy

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Varela-Aldás, J., Miranda, M., Lasluisa, G. (2023). Detection System for Domestic Environmental Pollutants Based on ThingSpeak. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1835. Springer, Cham. https://doi.org/10.1007/978-3-031-36001-5_72

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  • DOI: https://doi.org/10.1007/978-3-031-36001-5_72

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-36000-8

  • Online ISBN: 978-3-031-36001-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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