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1.
公开(公告)号:US20230155896A1
公开(公告)日:2023-05-18
申请号:US18152443
申请日:2023-01-10
发明人: Aanchal Aggarwal , Harsh Chaudhary , Yakup Koç , Younghun Kim , Tarun Kumar , Abhishek Raman
CPC分类号: H04L41/12 , H04L45/22 , H04L41/145 , H04L43/0811
摘要: A system and method of managing a network that includes assets are described. The method includes modeling the network as a directed graph with each of the assets represented as a node and determining alternative paths to each node from each available corresponding source of the node. The method also includes computing upstream robustness of each node, computing upstream robustness of the network, and computing downstream criticality of each node. Managing the network and each asset of the network is based on the upstream robustness and the downstream criticality of each node.
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2.
公开(公告)号:US09923778B2
公开(公告)日:2018-03-20
申请号:US14665398
申请日:2015-03-23
发明人: Aanchal Aggarwal , Harsh Chaudhary , Yakup Koç , Younghun Kim , Tarun Kumar , Abhishek Raman
IPC分类号: G06F15/173 , H04L12/24 , H04L12/707 , H04L12/26
CPC分类号: H04L41/12 , H04L41/145 , H04L43/0811 , H04L45/1283 , H04L45/22 , Y04S40/164 , Y04S40/168
摘要: A system and method of managing a network that includes assets are described. The method includes modeling the network as a directed graph with each of the assets represented as a node and determining alternative paths to each node from each available corresponding source of the node. The method also includes computing upstream robustness of each node, computing upstream robustness of the network, and computing downstream criticality of each node. Managing the network and each asset of the network is based on the upstream robustness and the downstream criticality of each node.
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公开(公告)号:US10585403B2
公开(公告)日:2020-03-10
申请号:US15436124
申请日:2017-02-17
发明人: Harsh Chaudhary , Younghun Kim , Tarun Kumar , Abhishek Raman , Rui Zhang
摘要: Technical solutions are described for predicting linepack delays. An example method includes receiving temporal sensor measurements of a first fluid-delivery pipeline network and generating a causality graph of the first fluid-delivery pipeline network. The method also includes determining a topological network of the stations based on the causality graph, where the topological network identifies a temporal delay between a pair of stations. The method also includes generating a temporal delay prediction model based on the topological network and predicting the linepack delays of a second fluid-delivery pipeline network based on the temporal delay prediction model, where a compressor station of the second fluid-delivery pipeline network compresses fluid based on the predicted linepack delays to maintain a predetermined pressure.
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公开(公告)号:US10386262B2
公开(公告)日:2019-08-20
申请号:US15009340
申请日:2016-01-28
发明人: Harsh Chaudhary , Younghun Kim , Tarun Kumar , Abhishek Raman , Rui Zhang
IPC分类号: G01M3/28
摘要: A method and system method to detect a leak within a pipeline network include measuring pressure at each of a plurality of sensors distributed along the pipeline network as a time-varying pressure signal. Tuning a model is based on gas mass conservation law in the absence of the leak, the tuning including obtaining the time-varying pressure signal from each of the plurality of sensors, and monitoring the time-varying pressure signals is done to detect the leak based on the model.
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5.
公开(公告)号:US20210006469A1
公开(公告)日:2021-01-07
申请号:US17020794
申请日:2020-09-14
发明人: Aanchal Aggarwal , Harsh Chaudhary , Yakup Koç , Younghun Kim , Tarun Kumar , Abhishek Raman
IPC分类号: H04L12/24 , H04L12/707
摘要: A system and method of managing a network that includes assets are described. The method includes modeling the network as a directed graph with each of the assets represented as a node and determining alternative paths to each node from each available corresponding source of the node. The method also includes computing upstream robustness of each node, computing upstream robustness of the network, and computing downstream criticality of each node. Managing the network and each asset of the network is based on the upstream robustness and the downstream criticality of each node.
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6.
公开(公告)号:US20180351814A1
公开(公告)日:2018-12-06
申请号:US16000818
申请日:2018-06-05
发明人: Aanchal Aggarwal , Harsh Chaudhary , Yakup Koç , Younghun Kim , Tarun Kumar , Abhishek Raman
IPC分类号: H04L12/24 , H04L12/707 , H04L12/26 , H04L12/735
CPC分类号: H04L41/12 , H04L41/145 , H04L43/0811 , H04L45/1283 , H04L45/22 , Y04S40/164 , Y04S40/168
摘要: A system and method of managing a network that includes assets are described. The method includes modeling the network as a directed graph with each of the assets represented as a node and determining alternative paths to each node from each available corresponding source of the node. The method also includes computing upstream robustness of each node, computing upstream robustness of the network, and computing downstream criticality of each node. Managing the network and each asset of the network is based on the upstream robustness and the downstream criticality of each node.
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7.
公开(公告)号:US11552854B2
公开(公告)日:2023-01-10
申请号:US17020794
申请日:2020-09-14
发明人: Aanchal Aggarwal , Harsh Chaudhary , Yakup Koç , Younghun Kim , Tarun Kumar , Abhishek Raman
IPC分类号: G06F15/173 , H04L41/12 , H04L45/00 , H04L41/14 , H04L43/0811 , H04L45/128
摘要: A system and method of managing a network that includes assets are described. The method includes modeling the network as a directed graph with each of the assets represented as a node and determining alternative paths to each node from each available corresponding source of the node. The method also includes computing upstream robustness of each node, computing upstream robustness of the network, and computing downstream criticality of each node. Managing the network and each asset of the network is based on the upstream robustness and the downstream criticality of each node.
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公开(公告)号:US11449013B2
公开(公告)日:2022-09-20
申请号:US16814388
申请日:2020-03-10
发明人: Harsh Chaudhary , Younghun Kim , Tarun Kumar , Abhishek Raman , Rui Zhang
摘要: Technical solutions are described for predicting linepack delays. An example method includes receiving temporal sensor measurements of a first fluid-delivery pipeline network and generating a causality graph of the first fluid-delivery pipeline network. The method also includes determining a topological network of the stations based on the causality graph, where the topological network identifies a temporal delay between a pair of stations. The method also includes generating a temporal delay prediction model based on the topological network and predicting the linepack delays of a second fluid-delivery pipeline network based on the temporal delay prediction model, where a compressor station of the second fluid-delivery pipeline network compresses fluid based on the predicted linepack delays to maintain a predetermined pressure.
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9.
公开(公告)号:US10778529B2
公开(公告)日:2020-09-15
申请号:US16000818
申请日:2018-06-05
发明人: Aanchal Aggarwal , Harsh Chaudhary , Yakup Koç , Younghun Kim , Tarun Kumar , Abhishek Raman
IPC分类号: G06F15/173 , H04L12/24 , H04L12/707 , H04L12/26 , H04L12/735
摘要: A system and method of managing a network that includes assets are described. The method includes modeling the network as a directed graph with each of the assets represented as a node and determining alternative paths to each node from each available corresponding source of the node. The method also includes computing upstream robustness of each node, computing upstream robustness of the network, and computing downstream criticality of each node. Managing the network and each asset of the network is based on the upstream robustness and the downstream criticality of each node.
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公开(公告)号:US10401879B2
公开(公告)日:2019-09-03
申请号:US15428434
申请日:2017-02-09
发明人: Harsh Chaudhary , Younghun Kim , Tarun Kumar , Abhishek Raman , Rui Zhang
IPC分类号: G05D7/00 , G05D7/06 , G01M3/28 , H04L12/24 , G01F1/00 , H04L12/26 , F17D5/02 , G01M3/02 , G05B15/02 , H04L29/08 , H04W4/70
摘要: Technical solutions are described for determining topological connectivity between stations of a fluid-delivery pipeline network. An example method includes receiving temporal sensor measurements of the fluid-delivery pipeline network, that include a series of sensor measurements from each respective station of the fluid-delivery pipeline network. The method also includes generating a causality graph of the fluid-delivery pipeline network based on the temporal sensor measurements, where the causality graph includes a set of nodes and a set of links, where the nodes are representative of the stations, and a pair of nodes is connected by a link in response to the pair of stations being temporally dependent. The method also includes determining a topological network of the stations based on the causality graph, where the topological network identifies one or more destination stations for a supply station in the fluid-delivery pipeline network.
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