Precognize Ltd.

Visual Process Limited

Chen Linchevski

Raanan Manor

Hila Nachlieli

Gabriel Shaar

The present invention discloses methods and systems for improving asset operation based on identification of significant changes in sensor combinations in related events. Methods include the steps of: providing an asset representation of an asset having an alert-aggregation system; creating a calculated indicator listing having at least one calculated indicator in the asset configured to calculate, predict, or estimate an indicated asset behavior; incorporating the calculated indicator listing into a set of entity connections by associating listing elements in the calculated indicator listing, thereby producing the interconnected representation; associating the identified asset behavior with at least one relevant object and/or at least one relevant process that is impairing the asset from optimally performing, conducting, and/or achieving the identified asset behavior; and generating at least one hint associated with at least one relevant object and/or at least one relevant process that is impairing the identified asset behavior.

Methods and systems for improving asset operation based on identification of significant changes in sensor combinations in related events

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.

System and method for enriching data and supporting data analysis in a hybrid environment

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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Bnei Zion, Israel

Chen Linchevski