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1.发明授权公开(公告)号：US10789292B2
公开(公告)日：2020-09-29
申请号：US13947230
申请日：2013-07-22
Applicant: VISUAL PROCESS LIMITED
Inventor： Raanan Manor , Chen Linchevski
IPC: G06F16/901
Abstract: The present invention provides a computer-implemented system and method for rapid capturing of the physical environment in a formal manner and connecting this formal representation to the data held in an organization's databases. The present invention includes a computer implemented system and method for accurate extraction of the “reality” into a formal model. In addition, the invention includes methods to divide the information by different aspects based on user defined and automatic tagging. The invention utilizes a modeling language to create a model, which includes a plurality of entities, to describe a physical environment and linking a plurality of external data associated with the physical environment with the plurality of entities.
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公开(公告)号：US10318364B2
公开(公告)日：2019-06-11
申请号：US15440081
申请日：2017-02-23
Applicant: VISUAL PROCESS LIMITED
Inventor： Raanan Manor , Chen Linchevski
Abstract: The present invention discloses methods and systems for problem-alert aggregation and identifying sub-optimal behavior. Methods include the steps of: providing data-driven alerts for an asset, wherein the data-driven alerts associate real-world data measured and/or detected from the asset, and wherein entities are physical objects and/or processes; providing an asset representation including interrelations between the objects, processes, and sensors associated with the entities of the asset; associating the data-driven alerts with the respective entities which are interrelated in the asset representation; aggregating the data-driven alerts into events, wherein the events are groupings of related data-driven alerts having related entities according to the asset representation; scoring each event into an event score, wherein the event score represents an event importance, an event urgency, an event relevance, and/or an event significance; and generating a selected subset of the events and respective event scores, wherein the selected subset is based on the event scores.
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3.发明申请
公开(公告)号：US20180357327A9
公开(公告)日：2018-12-13
申请号：US13947230
申请日：2013-07-22
Applicant: VISUAL PROCESS LIMITED
Inventor： Raanan Manor , Chen Linchevski
IPC: G06F17/30
CPC classification number: G06F16/901
Abstract: The present invention provides a computer-implemented system and method for rapid capturing of the physical environment in a formal manner and connecting this formal representation to the data held in an organization's databases. The present invention includes a computer implemented system and method for accurate extraction of the “reality” into a formal model. In addition, the invention includes methods to divide the information by different aspects based on user defined and automatic tagging. The invention utilizes a modeling language to create a model, which includes a plurality of entities, to describe a physical environment and linking a plurality of external data associated with the physical environment with the plurality of entities.
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公开(公告)号：US20180239666A1
公开(公告)日：2018-08-23
申请号：US15440081
申请日：2017-02-23
Applicant: VISUAL PROCESS LIMITED
Inventor： Raanan Manor , Chen Linchevski
CPC classification number: G06F11/0754 , F02D41/22 , F02D41/2425 , F02D2041/228 , G05B23/0272 , G05B2219/2637 , G06F11/0709 , H04L41/0604 , H04L41/0681 , H04L41/22
Abstract: The present invention discloses methods and systems for problem-alert aggregation and identifying sub-optimal behavior. Methods include the steps of: providing data-driven alerts for an asset, wherein the data-driven alerts associate real-world data measured and/or detected from the asset, and wherein entities are physical objects and/or processes; providing an asset representation including interrelations between the objects, processes, and sensors associated with the entities of the asset; associating the data-driven alerts with the respective entities which are interrelated in the asset representation; aggregating the data-driven alerts into events, wherein the events are groupings of related data-driven alerts having related entities according to the asset representation; scoring each event into an event score, wherein the event score represents an event importance, an event urgency, an event relevance, and/or an event significance; and generating a selected subset of the events and respective event scores, wherein the selected subset is based on the event scores.
