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Updated: Dec 31, 2025

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Published on: November 13, 2017

Design and Implementation of a Virtual Sensor Network for Smart Waste Water Monitoring.

Edmundo Guerra¹, Yolanda Bolea¹, Javier Gamiz²

¹Automatic Control Department, BarcelonaTech, 08034 Barcelona, Spain.

Sensors (Basel, Switzerland)

|January 16, 2020

Summary

This summary is machine-generated.

Robotized unmanned aerial vehicle (UAV) platforms offer a novel solution for wastewater monitoring. These aerial robots can function as a virtual sensor network, enabling real-time analysis and water sampling in open air basins.

Keywords:

industrial UAV multi-agent systems robotics water sampling

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Last Updated: Dec 31, 2025

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In Situ Soil Moisture Sensors in Undisturbed Soils

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Published on: November 18, 2022

Area of Science:

Environmental Engineering
Robotics
Sensor Networks

Background:

Effective monitoring of open air basins in wastewater treatment plants is crucial.
Current methods involve manual sampling or extensive fixed sensor networks, which are often impractical and costly.

Purpose of the Study:

To propose and validate a robotized unmanned aerial vehicle (UAV) platform for high-density, real-time monitoring and water sampling in open air basins.
To develop a modular software architecture using a multi-agent system approach for UAV-based environmental monitoring.

Main Methods:

Design and implementation of a robotized UAV platform equipped for water sample capture.
Development of a multi-agent system software architecture utilizing the Robot Operating System (ROS) middleware.
Independent experimental validation of autonomous flight, localization accuracy, and sample capture device viability.

Main Results:

Successful design and implementation of a functional UAV platform for environmental monitoring.
Demonstrated viability of the sample capture device and the potential for high-density virtual sensor networks.
Validated autonomous flight capabilities and localization accuracy in controlled environments.

Conclusions:

Robotized UAVs present a flexible and efficient solution for wastewater monitoring, overcoming limitations of fixed sensors.
The proposed multi-agent system architecture facilitates modularity and adaptability for complex environmental monitoring tasks.
The developed system shows promise for real-time data acquisition and sample collection in challenging aquatic environments.