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Determination of Air Quality with Unmanned Vehicles in Cement Plants

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The World Health Organization considers environmental pollution to be one of its priorities for human health; their studies indicate that there is a risk at the concentrations seen in many developed countries today. To do this, the regulatory bodies in charge of environmental surveillance, protection and prevention use air quality measurement systems in the form of fixed stations located in areas of interest, generating high investment costs due to the need to replicate instrumentation systems at strategic points for data collection. Taking into account the above, this project presents an alternative solution to the problem posed by instrumenting an unmanned aerial vehicle as a displacement device and implementing a measurement system for environmental variables anchored to it. As a result, the air quality measurement system was obtained using low-cost sensors mounted on a drone. From the data obtained from the real-time system, it was possible to establish that the parameters evaluated are within the norm established for our country. It was also determined that in the area near the cement factory, the average particulate matter is 8.01 μg/m3 and carbon dioxide of 373.26 ppm, in relation to the center of Guapán with values of 6.34 μg/m3 and 158.45 ppm, respectively, therefore, the levels of contamination near the company are higher than those measured in the parish center.

Original languageEnglish
Title of host publicationLecture Notes in Networks and Systems
EditorsXin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages867-877
Number of pages11
ISBN (Print)9789819930906
DOIs
StatePublished - 2023
Event8th International Congress on Information and Communication Technology, ICICT 2023 - London, United Kingdom
Duration: 20 Feb 202323 Feb 2023

Publication series

NameLecture Notes in Networks and Systems
Volume694 LNNS

Conference

Conference8th International Congress on Information and Communication Technology, ICICT 2023
Country/TerritoryUnited Kingdom
CityLondon
Period20/02/2323/02/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Air quality
  • Environmental
  • Monitoring
  • Pollutants
  • System

CACES Knowledge Areas

  • 417A Electronics, Automation and Sound

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