公开(公告)号：US11762345B2

公开(公告)日：2023-09-19

申请号：US17374291

申请日：2021-07-13

申请人： AVEVA SOFTWARE, LLC

发明人： Rajkumar Vedam ,  James Jude Kattapuram ,  Kishore Kumar Hemachandran ,  Sankararao Boddupalli ,  Pranav Bhaswanth Madabhushi ,  Gareth Hillier ,  Mallikarjun Avanna Lavate ,  Detong Zhang ,  Purt Tanartkit

IPC分类号： G05B13/04 ,  G06F17/11

CPC分类号： G05B13/041 ,  G06F17/11 ,  F23N2223/40 ,  F23N2223/44 ,  H02J2203/20

摘要： Real-time dynamic optimization of a process model in an online model-based process control computing environment. A mixed integer nonlinear programming (MINLP) solver utilizes grouping of first-principle model units to implement constraints of the underlying process. A group identifier parameter and a group complement parameter enable the grouping behavior through association with the first-principles model units.

公开(公告)号：US11099528B2

公开(公告)日：2021-08-24

申请号：US16411752

申请日：2019-05-14

申请人： AVEVA Software, LLC

发明人： Rajkumar Vedam ,  James Jude Kattapuram ,  Kishore Kumar Hemachandran ,  Sankararao Boddupalli ,  Pranav Bhaswanth Madabhushi ,  Gareth Hillier ,  Mallikarjun Avanna Lavate ,  Detong Zhang ,  Purt Tanartkit

IPC分类号： G05B13/04 ,  G06F17/11

摘要： Real-time dynamic optimization of a process model in an online model-based process control computing environment. A mixed integer nonlinear programming (MINLP) solver utilizes grouping of first-principle model units to implement constraints of the underlying process. A group identifier parameter and a group complement parameter enable the grouping behavior through association with the first-principles model units.

公开(公告)号：US20220004153A1

公开(公告)日：2022-01-06

申请号：US17374291

申请日：2021-07-13

申请人： AVEVA SOFTWARE, LLC

发明人： Rajkumar Vedam ,  James Jude Kattapuram ,  Kishore Kumar Hemachandran ,  Sankararao Boddupalli ,  Pranav Bhaswanth Madabhushi ,  Gareth Hillier ,  Mallikarjun Avanna Lavate ,  Detong Zhang ,  Purt Tanartkit

IPC分类号： G05B13/04 ,  G06F17/11

摘要： Real-time dynamic optimization of a process model in an online model-based process control computing environment. A mixed integer nonlinear programming (MINLP) solver utilizes grouping of first-principle model units to implement constraints of the underlying process. A group identifier parameter and a group complement parameter enable the grouping behavior through association with the first-principles model units.