Validation and reconstruction of flow meter data in the Barcelona water distribution network

• Published in: Control engineering practice Vol. 18; no. 6; pp. 640 - 651
• Main Authors: Quevedo, J., Puig, V., Cembrano, G., Blanch, J., Aguilar, J., Saporta, D., Benito, G., Hedo, M., Molina, A.
• Format: Journal Article Publication
• Language: English
• Published: Kidlington Elsevier Ltd 01.06.2010; Elsevier
• Subjects: Aigua; Applied sciences; Automàtica i control; Buildings. Public works; Classification; Computer science; control theory; systems; Control theory. Systems; Distribució; Distributing; Distribution; Distribution. Storage; Exact sciences and technology; Fault detection; Flow meter; Flow meter industry; Flowmeters; Fuzzy logic; Fuzzy logic classifier; Industrial metrology. Testing; Informàtica; Marketing; Mechanical engineering. Machine design; Methodology; Modelling and identification; Networks; Remote control; Sensor failure; Telecontrol; Telecontrol system; Time series; Water; Water distribution network; Water supply. Pipings. Water treatment; Àrees temàtiques de la UPC; Flow meter; Sensor failure; Fault detection; Fuzzy logic classifier; Telecontrol system; Water distribution network; Measurement sensor; Time series; Time scale; Water distribution; Scale model; Modeling; Forecasting; Missing data; Scaling law; Autoregressive integrated moving average model; Flowmeter; Fuzzy algorithm; Signal processing; Flowmetry; Signal analysis; Distribution network; Fault diagnostic; Defect detection
• ISSN: 0967-0661; 1873-6939
• DOI: 10.1016/j.conengprac.2010.03.003

This paper presents a signal analysis methodology to validate (detect) and reconstruct the missing and false data of a large set of flow meters in the telecontrol system of a water distribution network. The proposed methodology is based on two time-scale forecasting models: a daily model based on a ARIMA time series, while the 10-min model is based on distributing the daily flow using a 10-min demand pattern. The demand patterns have been determined using two methods: correlation analysis and an unsupervised fuzzy logic classification, named LAMDA algorithm. Finally, the proposed methodology has been applied to the Barcelona water distribution network, providing very good results.