A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Ranking pipes for maintenance in pipe networks using approximate hydraulic metrics
Conventional systems for monitoring pipe networks are generally not scalable, impractical in the field with uncontrolled environments or rely of static features of pipes that are vary depending on the pipes under consideration. The ideal sensor-ed monitoring systems are not economically viable. Systems and methods of the present disclosure provide an improved data-driven model to rank pipes in the order of burst probabilities, by including dynamic feature values of pipes such as pressure and flow that depends on network structure and operations. The present disclosure enables estimating approximate values for the dynamic features since they are hard to estimate accurately in the absence of a calibrated hydraulic model. The present disclosure also validates the estimated approximate dynamic feature values for the purpose of estimating bursts likelihood vis-a-vis accurate values of the dynamic metrics.
Ranking pipes for maintenance in pipe networks using approximate hydraulic metrics
Conventional systems for monitoring pipe networks are generally not scalable, impractical in the field with uncontrolled environments or rely of static features of pipes that are vary depending on the pipes under consideration. The ideal sensor-ed monitoring systems are not economically viable. Systems and methods of the present disclosure provide an improved data-driven model to rank pipes in the order of burst probabilities, by including dynamic feature values of pipes such as pressure and flow that depends on network structure and operations. The present disclosure enables estimating approximate values for the dynamic features since they are hard to estimate accurately in the absence of a calibrated hydraulic model. The present disclosure also validates the estimated approximate dynamic feature values for the purpose of estimating bursts likelihood vis-a-vis accurate values of the dynamic metrics.
Ranking pipes for maintenance in pipe networks using approximate hydraulic metrics
VASAN ARUNCHANDAR (author) / KAUSHIK GOLLAKOTA PHANI BHARGAVA (author) / MANIMARAN ABINAYA (author) / SARANGAN VENKATESH (author) / SIVASUBRAMANIAM ANAND (author)
2020-03-03
Patent
Electronic Resource
English
IPC:
E03B
Anlagen oder Verfahren zum Gewinnen, Sammeln oder Verteilen von Wasser
,
INSTALLATIONS OR METHODS FOR OBTAINING, COLLECTING, OR DISTRIBUTING WATER
/
F17D
Rohrleitungssysteme
,
PIPE-LINE SYSTEMS
/
G01N
Untersuchen oder Analysieren von Stoffen durch Bestimmen ihrer chemischen oder physikalischen Eigenschaften
,
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
/
G01V
Geophysik
,
GEOPHYSICS
/
G06G
Analogrechner
,
ANALOGUE COMPUTERS
/
G06Q
Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke
,
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
RANKING PIPES FOR MAINTENANCE IN PIPE NETWORKS USING APPROXIMATE HYDRAULIC METRICS
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