Data-driven approaches for pipe life prognosis in water distribution networks: the Barcelona water distribution network case study

ABSTRACT A water distribution network is a critical infrastructure in a city whose proper function affects significantly human life. However, aging pipe assets require periodic investment plans to reduce the risk of having leaks. In order to maximize the value of the existing water infrastructure and optimize asset investment, assessing and predicting pipe life in water distribution systems has become very important. Up to now, the study for determining relevant variables and pipe failure occurrence has drawn most of the attention, which has scientific value but cannot assist real operations in the water industry. To add practical values to pipe life assessment and prognosis methods, this paper contributes (1) first, several comparable data-driven approaches are proposed to quantify pipe deterioration and the influencing variables, such as pipe diameters, materials and age; (2) then, a prediction method, for the remaining useful life of pipe assets based on the algorithms described previously, is introduced; (3) finally, an easy reading risk-level checklist is presented for all pipe assets to assist the water industry with daily operation, maintenance of assets and renewal of their water networks. All these approaches will be implemented into a real-life case study, the Barcelona WDN.