Skip navigation
Please use this identifier to cite or link to this item:

Title: Hydrometeorological monitoring iot system: The software architecture
Authors: Carvalho, Raúl
João Miguel, Santos
João C., Martins
João Filipe, Santos
Patrícia, Palma
José Jasnau, Caeiro
Keywords: Water Quality
Software Architecture
Issue Date: 24-Feb-2022
Publisher: Springer
Citation: Carvalho, R.S., Santos, J.M., Martins, J.C., Santos, J.F., Palma, P., Jasnau Caeiro, J. (2022). Hydric Resources and Meteorological Monitoring IoT System. In: Camarinha-Matos, L.M., Heijenk, G., Katkoori, S., Strous, L. (eds) Internet of Things. Technology and Applications. IFIPIoT 2021. IFIP Advances in Information and Communication Technology, vol 641. Springer, Cham.
Abstract: An Internet of Things system designed for the collection and processing of surface water quality and meteorological data is presented. The open source software architecture is an important aspect of the design of this system, based on common commercial of the shelf components. It integrates: low power microcontrollers and single board computers to acquire and process the data from the most common parameters measured by water quality monitoring systems; long range communications using the LoRaWAN protocol allowing the system to be deployed over large and remote areas; asynchronous and reliable communications; a container based software design for easy, scalable and controllable deployment, thus reducing the complexity of the reproduction of the experimental setup in systems research. This paper also describes the design and implementation of a geospatial database using free and open source software. The system allows the user to visualize and plot the acquired data from the measurement of water quality parameters and meteorological data of various water-bodies at different time periods. Real-time measurements of parameters such as: air and water temperature; electrical conductivity; pH and evaporation, among others, can be correlated with other important properties. Remote sensing data providing real-time information to predict, prevent and act on water quality is also incorporated in the system.
Peer reviewed: yes
ISBN: 978-3-030-96465-8
Publisher version:
Appears in Collections:D-ENG - Livros e Capítulo de livro

Files in This Item:
File Description SizeFormat 
Carvalho et al_2022_Hydric Resources and Meteorological Monitoring IoT System.pdf25.77 MBAdobe PDFView/Open    Request a copy

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Currículo DeGóis 

This item is licensed under a Creative Commons License Creative Commons