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公开(公告)号：US20220086176A1
公开(公告)日：2022-03-17
申请号：US17470311
申请日：2021-09-09
IPC分类号： H04L29/06
摘要： A cyber-physical system may have a plurality of system nodes including a plurality of monitoring nodes each generating a series of current monitoring node values over time that represent current operation of the cyber-physical system. According to some embodiments, a watermarking computer platform may randomly inject a watermarking signal into an injection subset of the system nodes. The watermarking computer platform may then receive current monitoring node values over time and generate a current watermarking feature vector based on the current monitoring node values. The watermarking computer platform might comprise a dedicated watermarking abnormality detection platform or a unified abnormality detection platform (e.g., that also uses data-drive feature vectors). The injection subset may be associated with a randomly selected subset of the system nodes and/or magnitudes of watermarking signals that are randomly selected.
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公开(公告)号：US11658988B2
公开(公告)日：2023-05-23
申请号：US17470311
申请日：2021-09-09
CPC分类号： H04L63/1416 , H04L63/123 , H04L63/145 , H04L63/1425 , H04L63/1466 , H04L63/30 , H04L43/04
摘要： A cyber-physical system may have a plurality of system nodes including a plurality of monitoring nodes each generating a series of current monitoring node values over time that represent current operation of the cyber-physical system. According to some embodiments, a watermarking computer platform may randomly inject a watermarking signal into an injection subset of the system nodes. The watermarking computer platform may then receive current monitoring node values over time and generate a current watermarking feature vector based on the current monitoring node values. The watermarking computer platform might comprise a dedicated watermarking abnormality detection platform or a unified abnormality detection platform (e.g., that also uses data-drive feature vectors). The injection subset may be associated with a randomly selected subset of the system nodes and/or magnitudes of watermarking signals that are randomly selected.
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3.发明授权公开(公告)号：US11627151B2
公开(公告)日：2023-04-11
申请号：US16176293
申请日：2018-10-31
摘要： A verification platform may include a data connection to receive a stream of industrial asset cyber-attack detection algorithm data, including a subset of the industrial asset cyber-attack detection algorithm data. The verification platform may store the subset into a data store (the subset of industrial asset cyber-attack detection algorithm data being marked as invalid) and record a hash value associated with a compressed representation of the subset of industrial asset cyber-attack detection algorithm data combined with metadata in a secure, distributed ledger. The verification platform may then receive a transaction identifier from the secure, distributed ledger and mark the subset of industrial asset cyber-attack detection algorithm data in the data store as being valid after using the transaction identifier to verify that the recorded hash value matches a hash value of an independently created version of the compressed representation of the subset of industrial asset cyber-attack detection algorithm data combined with metadata.
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公开(公告)号：US10452041B2
公开(公告)日：2019-10-22
申请号：US15476124
申请日：2017-03-31
发明人： Anup Menon , Sree Rama Raju Vetukuri , Olugbenga Anubi , Justin John , Marc Gavin Lindenmuth , Aditya Kumar , Ruijie Shi , Jonathan Thatcher
IPC分类号： G05B19/042 , F02C9/28
摘要： A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. During real-time operation of the assets, the optimization system can update the operating schedule based on actual market, ambient, and operating data. The system provides information that can assist operators in determining suitable conditions in which to cold part-load or peak-fire the assets in an optimally profitable manner without violating target life constraints.
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公开(公告)号：US11159540B2
公开(公告)日：2021-10-26
申请号：US16144136
申请日：2018-09-27
摘要： A cyber-physical system may have a plurality of system nodes including a plurality of monitoring nodes each generating a series of current monitoring node values over time that represent current operation of the cyber-physical system. According to some embodiments, a watermarking computer platform may randomly inject a watermarking signal into an injection subset of the system nodes. The watermarking computer platform may then receive current monitoring node values over time and generate a current watermarking feature vector based on the current monitoring node values. The watermarking computer platform might comprise a dedicated watermarking abnormality detection platform or a unified abnormality detection platform (e.g., that also uses data-drive feature vectors). The injection subset may be associated with a randomly selected subset of the system nodes and/or magnitudes of watermarking signals that are randomly selected.
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公开(公告)号：US20180284707A1
公开(公告)日：2018-10-04
申请号：US15476124
申请日：2017-03-31
发明人： Anup Menon , Sree Rama Raju Vetukuri , Olugbenga Anubi , Justin John , Marc Gavin Lindenmuth , Aditya Kumar , RUIJIE SHI , Jonathan Thatcher
IPC分类号： G05B19/042 , F02C9/28
CPC分类号： G05B19/042 , F02C9/28 , F05D2270/07 , F05D2270/20 , G05B2219/2639
摘要： A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. During real-time operation of the assets, the optimization system can update the operating schedule based on actual market, ambient, and operating data. The system provides information that can assist operators in determining suitable conditions in which to cold part-load or peak-fire the assets in an optimally profitable manner without violating target life constraints.
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