公开(公告)号：US20180149580A1

公开(公告)日：2018-05-31

申请号：US15473433

申请日：2017-03-29

申请人： TATA CONSULTANCY SERVICES LIMITED

发明人： Arunchandar VASAN ,  Gollakota Phani Bhargava Kaushik ,  Abinaya Manimaran ,  Venkatesh Sarangan ,  Anand Sivasubramaniam

IPC分类号： G01N19/08 ,  G01N7/00 ,  G01V99/00

摘要： 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.

公开(公告)号：US10578543B2

公开(公告)日：2020-03-03

申请号：US15473433

申请日：2017-03-29

申请人： TATA CONSULTANCY SERVICES LIMITED

发明人： Arunchandar Vasan ,  Gollakota Phani Bhargava Kaushik ,  Abinaya Manimaran ,  Venkatesh Sarangan ,  Anand Sivasubramaniam

IPC分类号： G06F17/50 ,  G01N19/08 ,  E03B7/00 ,  F17D5/02 ,  E03B7/07 ,  E03B7/02 ,  G01N7/00 ,  G01V99/00 ,  G06Q50/06 ,  G06G7/50 ,  F17D1/00

摘要： 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.