Loading...
Loading...

Go to the content (press return)

Automatic validation of flowmeter data in transport water networks: application to the ATLLc water network

Author
García, D.; Quevedo, J.; Puig, V.; Saludes, J.; Espín, S.; Roquet, J.; Valero, F.
Type of activity
Book chapter
Book
Intelligent data engineering and automated learning : IDEAL 2014 : 15th International Conference, Salamanca, Spain, September 10-12, 2014. Proceedings
First page
118
Last page
125
Publisher
Springer
Date of publication
2014-09-10
ISBN
978-3-319-10839-1 Open in new window
DOI
https://doi.org/10.1007/978-3-319-10840-7 Open in new window
Repository
http://hdl.handle.net/2117/24166 Open in new window
URL
http://download.springer.com/static/pdf/62/bok%253A978-3-319-10840-7.pdf?auth66=1411632308_ff8c44413f65b91c3f3272491987c49f&ext=.pdf Open in new window
Abstract
In this paper, a methodology for data validation and reconstruction of flow meter sensor data in water networks is presented. The raw data validation is inspired on the Spanish norm (AENOR-UNE norm 500540). The methodology consists in assigning a quality level to data. These quality levels are assigned according to the number of tests that data have passed. The methodology takes into account not only spatial models but also temporal models relating the different sensors. The methodology is appli...
Citation
Garcia, D. [et al.]. Automatic validation of flowmeter data in transport water networks: application to the ATLLc water network. A: "Intelligent data engineering and automated learning : IDEAL 2014 : 15th International Conference, Salamanca, Spain, September 10-12, 2014. Proceedings". Springer International Publishing, 2014, p. 118-125.
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

Participants