Type

Journal Article

Authors

Fiona Regan
Noel E. O'Connor
Suzanne Little
Maria O'Neil
Brendan Heery
Dian Zhang
Maria O’Neil

Subjects

Computer Science

Topics
smart sensing data processing information extraction data extraction information processing sensor network water level monitoring low cost data collection data information catchment monitoring

A Low-Cost Smart Sensor Network for Catchment Monitoring. (2019)

Abstract Understanding hydrological processes in large, open areas, such as catchments, and further modelling these processes are still open research questions. The system proposed in this work provides an automatic end-to-end pipeline from data collection to information extraction that can potentially assist hydrologists to better understand the hydrological processes using a data-driven approach. In this work, the performance of a low-cost off-the-shelf self contained sensor unit, which was originally designed and used to monitor liquid levels, such as AdBlue, fuel, lubricants etc., in a sealed tank environment, is first examined. This process validates that the sensor does provide accurate water level information for open water level monitoring tasks. Utilising the dataset collected from eight sensor units, an end-to-end pipeline of automating the data collection, data processing and information extraction processes is proposed. Within the pipeline, a data-driven anomaly detection method that automatically extracts rapid changes in measurement trends at a catchment scale. The lag-time of the test site (Dodder catchment Dublin, Ireland) is also analyzed. Subsequently, the water level response in the catchment due to storm events during the 27 month deployment period is illustrated. To support reproducible and collaborative research, the collected dataset and the source code of this work will be publicly available for research purposes.
Collections Ireland -> Dublin City University -> Publication Type = Article
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Science and Health
Ireland -> Dublin City University -> PubMed
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Science and Health: School of Chemical Sciences
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: INSIGHT Centre for Data Analytics
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres

Full list of authors on original publication

Fiona Regan, Noel E. O'Connor, Suzanne Little, Maria O'Neil, Brendan Heery, Dian Zhang, Maria O’Neil

Experts in our system

1
Fiona Regan
Dublin City University
Total Publications: 115
 
2
Noel E. O'Connor
Dublin City University
Total Publications: 474
 
3
Suzanne Little
Dublin City University
Total Publications: 36
 
4
Brendan Heery
Dublin City University
Total Publications: 33
 
5
Dian Zhang
Dublin City University
Total Publications: 17