Temperature Monitoring and Forecast System in Remote Areas with 4.0G LTE Mobile Technologies
| Autor: | Kevin Alexandre Riaño Vargas, Lewys Correa Sánchez, Octavio José Salcedo Parra |
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| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | Ubiquitous Networking ISBN: 9783030028480 UNet |
| DOI: | 10.1007/978-3-030-02849-7_17 |
| Popis: | The need to monitor areas of high risk in terms of temperature indexes has included two important elements for its compliance: monitoring and forecast of records in an environment. Performing this procedure manually is inefficient as it provides a flat perspective and can’t predict the state of the environment rigorously. Software systems are contemporary elements in constant refinement which satisfy the emerging needs within a certain context. The monitoring and forecasting processes can be hence automated and that tends to lead to a better supervision of the risks present in the environment. This article presents a proposal for the supervision of high-risk areas, through temperature records that can be managed through the design of a software system with the implementation of mobile 4.0G LTE technologies, aimed at efficiency and effectiveness in the notification of the environmental status. Finally, the development of a remote temperature monitoring and forecast system using mobile technologies leads to conclude that the fuzzy logic prediction system‘s quadratic error is lower than 2.6%. Additionally, future work is presented from the research standpoint according to the emergence of new perspectives related to this developing software system. |
| Databáze: | OpenAIRE |
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