Autonomous navigation of robots for precise location of pollutants in water

The goal of this study is to develop a state-of-the-art micro-robot navigation system that autonomously detects and navigates heavily contaminated areas in the tank using automatic constant potentiometers, while remotely monitoring biosensors. The integration of a constant potentiometer enables real...

Full description

Autores:
Jaller Gómez, Juan Manuel
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2024
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/74896
Acceso en línea:
https://hdl.handle.net/1992/74896
Palabra clave:
Autonomous robot
Potentiostat integration
Cyclic voltammetry
Heavy metal detection
Real-time data acquisition
Remote biosensor monitoring
Ingeniería
Rights
openAccess
License
Attribution-NonCommercial-ShareAlike 4.0 International
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dc.title.eng.fl_str_mv Autonomous navigation of robots for precise location of pollutants in water
title Autonomous navigation of robots for precise location of pollutants in water
spellingShingle Autonomous navigation of robots for precise location of pollutants in water
Autonomous robot
Potentiostat integration
Cyclic voltammetry
Heavy metal detection
Real-time data acquisition
Remote biosensor monitoring
Ingeniería
title_short Autonomous navigation of robots for precise location of pollutants in water
title_full Autonomous navigation of robots for precise location of pollutants in water
title_fullStr Autonomous navigation of robots for precise location of pollutants in water
title_full_unstemmed Autonomous navigation of robots for precise location of pollutants in water
title_sort Autonomous navigation of robots for precise location of pollutants in water
dc.creator.fl_str_mv Jaller Gómez, Juan Manuel
dc.contributor.advisor.none.fl_str_mv Osma Cruz, Johann Faccelo
dc.contributor.author.none.fl_str_mv Jaller Gómez, Juan Manuel
dc.contributor.jury.none.fl_str_mv Sotelo Briceño, Diana Camila
dc.contributor.researchgroup.none.fl_str_mv Facultad de Ingeniería
dc.subject.keyword.eng.fl_str_mv Autonomous robot
Potentiostat integration
Cyclic voltammetry
Heavy metal detection
Real-time data acquisition
Remote biosensor monitoring
topic Autonomous robot
Potentiostat integration
Cyclic voltammetry
Heavy metal detection
Real-time data acquisition
Remote biosensor monitoring
Ingeniería
dc.subject.themes.spa.fl_str_mv Ingeniería
description The goal of this study is to develop a state-of-the-art micro-robot navigation system that autonomously detects and navigates heavily contaminated areas in the tank using automatic constant potentiometers, while remotely monitoring biosensors. The integration of a constant potentiometer enables real-time data collection and cyclic voltammetry analysis to determine the presence and concentration of heavy metals in various materials. The constant potentiometer was connected to a microcontroller-based system to facilitate real-time data processing and remote monitoring. The results showed that the constant potentiometer could reliably detect a large number of conductive ions, especially in iron cyanide and wine samples. However, the high power consumption of the constant potentiometer limited the microrobot's ability to navigate and collect data at the same time, highlighting the need for a higher capacity battery to meet the power requirements. The study concludes that while this integration is a breakthrough in environmental monitoring technology, future research should focus on optimizing power management and improving the efficiency of the overall system for simultaneous navigation and data collection. This work demonstrates the potential of autonomous robots to improve water quality monitoring and public health protection.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-08-02T13:53:01Z
dc.date.available.none.fl_str_mv 2024-08-02T13:53:01Z
dc.date.issued.none.fl_str_mv 2024-07-31
dc.type.none.fl_str_mv Trabajo de grado - Pregrado
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/bachelorThesis
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dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/1992/74896
dc.identifier.instname.none.fl_str_mv instname:Universidad de los Andes
dc.identifier.reponame.none.fl_str_mv reponame:Repositorio Institucional Séneca
dc.identifier.repourl.none.fl_str_mv repourl:https://repositorio.uniandes.edu.co/
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identifier_str_mv instname:Universidad de los Andes
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dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.references.none.fl_str_mv Segura, C. Design and Implementation of a Portable Potentiostat for Heavy Metal Detection in Water. Doctoral’s Thesis, Universidad de los Andes, Bogotá, Colombia, 2022.
Hernández Cardona, J.F. Sistema de navegación acúatica para microrobot limpiador. Bachelor’s Thesis, Universidad de los Andes, Bogotá, Colombia, 2023.
Escobar, E. M. Design and Development of an Autonomous Swimming Robot for Water Navigation. Bachelor’s Thesis, Universidad de los Andes, Bogotá, Colombia, 2023.
Babuji, P.; Thirumalaisamy, S.; Duraisamy, K.; Periyasamy, G. Human Health Risks due to Exposure to Water Pollution: A Review. Water 2023, 15, 2532. Available online: https://doi.org/10.3390/w15142532
World Health Organization. Guidelines for drinking-water quality. Available online: https://www.who.int/publications/i/item/9789241549950
JuanFHcardona. Proyecto de grado - pregrado. Available online: https://github.com/JuanFHcardona/Proyecto-de-grado—pregrado/tree/main
ESP8266WiFi. Available online: https://esp8266-arduino-spanish.readthedocs.io/es/latest/esp8266wifi/readme.html
Installing ESP8266. Available online: https://esp8266-arduino-spanish.readthedocs.io/es/latest/installing.html
NodeMCU Devkit. Available online: https://github.com/nodemcu/nodemcu-devkit/blob/master/Drivers/CH341SER_WINDOWS.zip
MDPI Sensors Template. Available online: https://www.mdpi.org/sensors/template.htm
Random Nerd Tutorials. Plot Readings Charts. Available online: https://randomnerdtutorials.com/esp8266-nodemcu-plot-readings-charts-multiple/
Random Nerd Tutorials. VS Code PlatformIO LittleFS. Available online: https://randomnerdtutorials.com/esp8266-nodemcu-vs-code-platformio-littlefs/
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dc.format.extent.none.fl_str_mv 15 páginas
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dc.publisher.none.fl_str_mv Universidad de los Andes
dc.publisher.program.none.fl_str_mv Ingeniería Electrónica
dc.publisher.faculty.none.fl_str_mv Facultad de Ingeniería
dc.publisher.department.none.fl_str_mv Departamento de Ingeniería Eléctrica y Electrónica
publisher.none.fl_str_mv Universidad de los Andes
institution Universidad de los Andes
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spelling Osma Cruz, Johann Faccelovirtual::19576-1Jaller Gómez, Juan ManuelSotelo Briceño, Diana CamilaFacultad de Ingeniería2024-08-02T13:53:01Z2024-08-02T13:53:01Z2024-07-31https://hdl.handle.net/1992/74896instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/The goal of this study is to develop a state-of-the-art micro-robot navigation system that autonomously detects and navigates heavily contaminated areas in the tank using automatic constant potentiometers, while remotely monitoring biosensors. The integration of a constant potentiometer enables real-time data collection and cyclic voltammetry analysis to determine the presence and concentration of heavy metals in various materials. The constant potentiometer was connected to a microcontroller-based system to facilitate real-time data processing and remote monitoring. 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This work demonstrates the potential of autonomous robots to improve water quality monitoring and public health protection.PregradoBiomicrosystems15 páginasapplication/pdfengUniversidad de los AndesIngeniería ElectrónicaFacultad de IngenieríaDepartamento de Ingeniería Eléctrica y ElectrónicaAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Autonomous navigation of robots for precise location of pollutants in waterTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1fTexthttp://purl.org/redcol/resource_type/TPAutonomous robotPotentiostat integrationCyclic voltammetryHeavy metal detectionReal-time data acquisitionRemote biosensor monitoringIngenieríaSegura, C. Design and Implementation of a Portable Potentiostat for Heavy Metal Detection in Water. Doctoral’s Thesis, Universidad de los Andes, Bogotá, Colombia, 2022.Hernández Cardona, J.F. Sistema de navegación acúatica para microrobot limpiador. Bachelor’s Thesis, Universidad de los Andes, Bogotá, Colombia, 2023.Escobar, E. M. Design and Development of an Autonomous Swimming Robot for Water Navigation. Bachelor’s Thesis, Universidad de los Andes, Bogotá, Colombia, 2023.Babuji, P.; Thirumalaisamy, S.; Duraisamy, K.; Periyasamy, G. Human Health Risks due to Exposure to Water Pollution: A Review. Water 2023, 15, 2532. Available online: https://doi.org/10.3390/w15142532World Health Organization. Guidelines for drinking-water quality. Available online: https://www.who.int/publications/i/item/9789241549950JuanFHcardona. Proyecto de grado - pregrado. Available online: https://github.com/JuanFHcardona/Proyecto-de-grado—pregrado/tree/mainESP8266WiFi. Available online: https://esp8266-arduino-spanish.readthedocs.io/es/latest/esp8266wifi/readme.htmlInstalling ESP8266. 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