Abstract
This work describes the architecture details of a remote- controlled mobile robot prototype that allows to monitor the real-time concentrations of Sulfur Dioxide (SO2), Nitrogen Dioxide (NO2), Carbon Monoxide (CO), tropospheric Ozone (O3), carbon dioxide (CO2) and methane (CH4) that could seriously affect human’s health after a violent natural or human caused phenomena. Parameters such as temperature and humidity will also be monitored in order to understand the conditions of the people to be rescued from dangerous environments. In order to establish the air quality inside a collapsed structure after a disaster and how it could affect the health of rescuers and the people at risk, the measurements will be displayed inside a user-friendly interface which will be able to generate real-time graphics of these parameters and the possible consequences of being exposed to high concentrations of pollution or heat. Additionally, a task model is provided to describe the interaction among the system and the final users. The data acquired by the robot are transmitted through a point to point network based on elements of low consumption and cost. These elements let the robot transmit the information to a computer, which through the graphic user- friendly interface will indicate the parameters of air quality in a friendly way for the end user.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
National Research Council (US) Committee on Acute Exposure Guideline Levels: Volume 8. Sulfur Dioxide Acute Exposure Guideline Levels. In: Acute Exposure Guideline Levels for Selected Airborne Chemicals. National Academies Press (US), Washington (DC) (2010)
National Research Council (US) Subcommittee on Rocket-Emission Toxicants: Assessment of Exposure-Response Functions for Rocket-Emission Toxicants. Appendix E, ACUTE TOXICITY OF NITROGEN DIOXIDE. National Academies Press (US), Washington (DC) (1998)
Demling, R.H.: Smoke inhalation lung injury: an update. Eplasty 8, e27 (2008)
Phillips, A., Clark-Leach, G., McGraw, K., J.L., A., C., B., K., K.: Preparing for the next storm learning from the man-made environmental disasters that followed hurricane harvey. Eip rep., Environmental Integrity Project, Washington (August 2018)
Somervell, E., Aberkane, T.: The effects of on-going seismic activity on air quality in canterbury, New Zealand. Open Atmos. Sci. J. 8, 1–6 (2014)
Tang, B., Ge, Y., Liu, X., Kang, P., Liu, Y., Zhang, L.: Health-related quality of life for medical rescuers one month after ludian earthquake. Health Q. Life Outcomes 13, 88 (2015)
Slottje, P.I., Twisk, J.W.R., Smidt, N., Huizink, A.C., Witteveen, A.B., van Mechelen, W., Smid, T.: Health-related quality of life of firefighters and police officers 8.5 years after the air disaster in amsterdam. Q. Life Res. 16(2), 239–252 (2007)
Khare, M.: Air pollution –monitoring, modelling and health. InTech, Janeza Trdine 9, 51000 Rijeka, Croatia (2012)
Mayor of London The Queen’s Walk SE1 2AA, London: Guide for Monitoring air Quality in London (2018)
Sharma, J., John, S.: Real time ambient air quality monitoring system using sensor technology. Int. J. Adv. Mech. Civil Eng. 4(1), 72–74 (2017)
Khedo, K.K., Perseedoss, R., Mungur, A.: A wireless sensor network air pollution monitoring system. CoRR abs/1005.1737 (2010)
Mead, M., Popoola, O., Stewart, G., Landshoff, P., Calleja, M., Hayes, M., Baldovi, J., McLeod, M., Hodgson, T., Dicks, J., Lewis, A., Cohen, J., Baron, R., Saffell, J., Jones, R.: The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks. Atmos. Environ. 70, 186–203 (2013)
Subramanian, R., Ellis, A., Torres-Delgado, E., Tanzer, R., Malings, C., Rivera, F., Morales, M., Baumgardner, D., Presto, A., Mayol-Bracero, O.L.: Air quality in puerto rico in the aftermath of hurricane maria: a case study on the use of lower cost air quality monitors. ACS Earth Space Chem. 2(11), 1179–1186 (2018)
Acosta-Vargas., P., Zalakeviciute., R., Luján-Mora, S., Hernandez, W.: Accessibility evaluation of mobile applications for monitoring air quality. In: International Conference on Information Technology and Systems (2019, In Press)
Pérez-Medina., J.L., Zalakeviciute., R., Rybarczyk, Y.: Assessing the usability of air quality mobile application. In: The International Conference on e-Democracy and e-Government (2019, In Press)
Pérez-Medina, J.L., Vanderdonckt, J.: A tool for multi-surface collaborative sketching. In: WorkShop Cross-Surface 2016: Third International Workshop on Interacting with Multi-Device ecologies in the wild (2016)
Paterno, F.: Model-Based Design and Evaluation of Interactive Applications. Springer, Heidelberg (1999)
Pribeanu, C.: A revised set of usability heuristics for the evaluation of interactive systems. Inf. Econ. 21(3), 31 (2017)
Acknowledgements.
The authors thank the staff of Unidad de Innovación y Tecnológia (UITEC) for their support, equipment and infrastructure.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Pozo, D., Solórzano, S., Pérez-Medina, JL., Jaramillo, K., López, R., Zalakeviciute, R. (2020). Remote Monitoring Air Quality in Dangerous Environments for Human Activities. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2019. Advances in Intelligent Systems and Computing, vol 959. Springer, Cham. https://doi.org/10.1007/978-3-030-20040-4_45
Download citation
DOI: https://doi.org/10.1007/978-3-030-20040-4_45
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-20039-8
Online ISBN: 978-3-030-20040-4
eBook Packages: EngineeringEngineering (R0)