.png){kind=icon}
.png){kind=icon}
Return
Locating Leaks with TrustRank Algorithm Support
.png){kind=icon}
OA
AI
DOI：10.3390/w7041378.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper presents a methodology to quantify and to locate leaks. The original contribution is the use of a tool based on the TrustRank algorithm for the selection of nodes for pressure monitoring. The results from these methodologies presented here are: (I) A sensitivity analysis of the number of pressure transducers on the quality of the final solution; (II) A reduction of the number of pipes to be inspected; and (III) A focus on the problematic pipes which allows a better office planning of the inspection works to perform atthe field. To obtain these results, a methodology for the identification of probable leaky pipes and an estimate of their leakage flows is also presented. The potential of the methodology is illustrated with several case studies, considering different levels of water losses and different sets of pressure monitoring nodes. The results are discussed and the solutions obtained show the benefits of the developed methodologies.
Keywords:
INVERSE TRANSIENT ANALYSIS
WATER DISTRIBUTION NETWORKS
SENSOR PLACEMENT
DISTRIBUTION-SYSTEMS
BURST DETECTION
OPTIMIZATION
MODEL
LOCALIZATION
METHODOLOGY
DEMAND
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.