Abstract
The monitoring of air quality allows to evaluate the amount of harmful particles for health that are being released. Under this paradigm and knowing the current methods to monitor these parameters, this work proposes the use of a UAV for commercial use and the construction of a card for gas measurement. Additionally and with the objective of having complete control over the vehicle, the article proposes the development of a library for the control and monitoring of the instrumentation of a commercial drone, through which the validation of control algorithms is proposed. As a result of this work, two real experiments on a rural environment and an urban environment are carried out to validate both the library created and the method of acquiring information on air quality.
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Acknowledgements
The authors would like to thanks to the Corporación Ecuatoriana para el Desarrollo de la Investigación y Academia–CEDIA for the financing given to research, development, and innovation, through the CEPRA projects, especially the project CEPRA-XI-2017-06; Control Coordinado Multi-operador aplicado a un robot Manipulador Aéreo; also to Universidad de las Fuerzas Armadas ESPE, Universidad Técnica de Ambato, Escuela Superior Politécnica de Chimborazo, Universidad Nacional de Chimborazo, and Grupo de Investigación ARSI, for the support to develop this work.
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Andaluz, V.H. et al. (2019). Autonomous Monitoring of Air Quality Through an Unmanned Aerial Vehicle. In: Wotawa, F., Friedrich, G., Pill, I., Koitz-Hristov, R., Ali, M. (eds) Advances and Trends in Artificial Intelligence. From Theory to Practice. IEA/AIE 2019. Lecture Notes in Computer Science(), vol 11606. Springer, Cham. https://doi.org/10.1007/978-3-030-22999-3_14
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