Abstract
The Internet of Things (IoT) is changing the industrial sectors, business models and processes. In this context, a special area positively affected by IoT is the prevention of risk factors. A permanently connected network of new products, machines, people and organizations, is a technological advance that can be oriented to combat the risks of fires in places of greater vulnerability in the business areas. This paper presents an application project regarding to a fire prevention system in places where temperature can be measured using the new IoT tools. This project and its novel advantages can be helpful in the development of preventive to increase safety in industry.
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Acknowledgments
This work has been partially supported by: Universidad Autónoma de Sinaloa (México) through the Programa de Fomento y Apoyo a Proyectos de Investigación (PROFAPI2015/002). The work is derived from a research project in order to obtain B.S. Degree in computer systems by means of a thesis.
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Rosas, J.C., Aguilar, J.A., Tripp-Barba, C., Espinosa, R., Aguilar, P. (2017). A Mobile-Sensor Fire Prevention System Based on the Internet of Things. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10409. Springer, Cham. https://doi.org/10.1007/978-3-319-62407-5_19
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DOI: https://doi.org/10.1007/978-3-319-62407-5_19
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