Citas bibligráficas
Vitón, L., (2018). Modelamiento e implementación de un sistema de sensado de PH de bajo consumo de energía aplicado al control de calidad de agua de ríos [Tesis, Universidad Nacional de Ingeniería]. http://hdl.handle.net/20.500.14076/14781
Vitón, L., Modelamiento e implementación de un sistema de sensado de PH de bajo consumo de energía aplicado al control de calidad de agua de ríos [Tesis]. : Universidad Nacional de Ingeniería; 2018. http://hdl.handle.net/20.500.14076/14781
@misc{renati/709338,
title = "Modelamiento e implementación de un sistema de sensado de PH de bajo consumo de energía aplicado al control de calidad de agua de ríos",
author = "Vitón Zorrilla, Luighi Anthony",
publisher = "Universidad Nacional de Ingeniería",
year = "2018"
}
The aim of the thesis “Modeling and implementation of a low-power pH monitoring system applied to control the rivers water quality“, is the development of a low-power pH monitoring system which would be incorporated to a wireless sensor network. The pH is one of the most important operational measurements whose variations are indicators of water composition changes and, therefore, dangerous effects to the ecosystem which use them and live there, employing remote monitoring systems to detect those variations. However, systems based on conventional sensors and techniques, usually have higher levels of energy consumption, implying short autonomy periods. Hence, in this thesis, a selection of a low-power sensor technology is performed, as well as, the implementation of readout and processing systems in the same device through a mixed-signal microcontroller. In addition to this, for the communication with Internet, another microcontroller is used to implement a low-power wireless protocol. The system is tested in a laboratory environment, measuring the power levels at each stage. Results show a lower consumption, in its analogue component, than other commercial alternatives, as well as, an appropriate sensibility and a continuous communication with the Internet platform. The presented solution constitutes an adequate alternative for the pH sensing applied to the water quality control, which could be extended to other applications such as agriculture and biomedicine.
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