Projects per year
Project Details
Description
Access to clean water is considered a universal human right stated as a sustainable development objective of the 2030 agenda, whose scope is advancing slowly at the regional level. The objective of this project is to develop a technological platform to analyze and control parameters of quality and abundance of water for human consumption, of high utility and importance for the management of water resources in
terms of access. With characteristics of autonomous energy operation and IoT capabilities, for obtaining and reporting data, and actions with the information generated, it is intended to combine in this platform and develop in an integrated
manner three different areas of advanced research in the TEC that contain chemical methodologies, physics, automatic actions and autonomous energy supply.
Access to clean water is considered a universal human right stated as a sustainable development objective of the 2030 agenda, whose scope is advancing slowly at the regional level. The objective of this project is to develop a technological platform to analyze and control parameters of quality and abundance of water for human consumption, of high utility and importance for the management of water resources in terms of access. The platform has characteristics of autonomous energy operation and IoT capabilities for operating the equipment, obtaining and reporting data, which allows prompt decisions making. This development aims to combine in an integrated manner three different areas of advanced research at the TEC that contain chemical and physical methodologies, automatic actions and autonomous energy supply, two patents currently in force for the Tecnológico de Costa Rica and the implementation of pilot level tests at ASADA La Angelina, Ochomogo, Cartago.
terms of access. With characteristics of autonomous energy operation and IoT capabilities, for obtaining and reporting data, and actions with the information generated, it is intended to combine in this platform and develop in an integrated
manner three different areas of advanced research in the TEC that contain chemical methodologies, physics, automatic actions and autonomous energy supply.
Access to clean water is considered a universal human right stated as a sustainable development objective of the 2030 agenda, whose scope is advancing slowly at the regional level. The objective of this project is to develop a technological platform to analyze and control parameters of quality and abundance of water for human consumption, of high utility and importance for the management of water resources in terms of access. The platform has characteristics of autonomous energy operation and IoT capabilities for operating the equipment, obtaining and reporting data, which allows prompt decisions making. This development aims to combine in an integrated manner three different areas of advanced research at the TEC that contain chemical and physical methodologies, automatic actions and autonomous energy supply, two patents currently in force for the Tecnológico de Costa Rica and the implementation of pilot level tests at ASADA La Angelina, Ochomogo, Cartago.
General Objective
Desarrollar una plataforma tecnológica con características
IoT, escalable y modular para el registro de variables físicas y químicas
asociadas a la calidad y abundancia del agua potable.
IoT, escalable y modular para el registro de variables físicas y químicas
asociadas a la calidad y abundancia del agua potable.
Research Lines
Gestión Ambiental
| Status | Active |
|---|---|
| Effective start/end date | 1/01/25 → 31/12/27 |
Keywords
- online chemical analysis
- remote analysis
- water monitoring
- water resource management
- automatic instrumentation
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Projects
- 1 Active
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ASADAS-IoT: Desarrollo y transferencia de una plataforma tecnológica escalable, modular y abierta de para la ASADA de Paso Ancho, Oreamuno, Cartago
Rojas Hernández, J. J. (Institutional academic coordinator), Montero Jiménez, J. J. (Institutional academic coordinator) & Esquivel Vargas, H. (Institutional academic coordinator)
1/01/25 → 31/12/26
Project: Internally funded extension projects › Participatory and collaborative action
File
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Feature importance analysis for enhanced interpretability of spectrophotometric Machine Learning (ML) models in water quality monitoring
Hernandez-Alpizar, L. & Gomez-Mejia, J. A., Feb 2026, In: Tecnologia En Marcha. 39, p. 276-284 9 p.Research output: Contribution to journal › Article › peer-review
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Machine Learning Classification of Effluent Quality in Wastewater Treatment
Hernández-Alpízar, L. & Gómez-Mejía, J. A., 2026, Applications of Computational Intelligence - 8th IEEE Colombian Conference, ColCACI 2025, Revised Selected Papers. Orjuela-Cañón, A. D., Lopez, J. A. & Suarez, O. J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 182-192 11 p. (Communications in Computer and Information Science; vol. 2846 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review