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Dynamic ontology data operation

A dynamic, data collection technology, applied in data mining, data exchange network, visual data mining, etc., can solve problems such as increasing complexity

Pending Publication Date: 2021-07-23
SCHNEIDER ELECTRIC USA INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Additionally, compatibility requirements with any associated cloud services further compound this complexity
Furthermore, while there is currently a tight coupling between a specific cloud application and a locally connected gateway, system, or device, this tight coupling has a high dependency between users or systems to update their respective data models to allow access to the necessary data

Method used

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  • Dynamic ontology data operation
  • Dynamic ontology data operation
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Examples

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Embodiment Construction

[0023] To ensure that valuable assets are protected, systems and their associated devices now monitor almost all critical data from assets as well as external data that may be related to such assets. This vast amount of data is complex to navigate and is so granular in nature that it cannot be used alone to determine the condition of a given asset. While an asset can contain a very complex set of systems, the individual responsible for such an asset may only need to "go" or "do not go" to determine the next step.

[0024] To address the complexity of managing a wide variety of disparate data structures into an organized, human-useable format, a system for dynamic ontology data manipulation can be utilized, inter alia, as described in this disclosure and methods.

[0025] Embodiments of the present disclosure provide several benefits. These include, but are not limited to, the ability of the development teams for the various components of the system to work independently of e...

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PUM

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Abstract

Embodiments provide techniques for dynamically linking device data models and asset data models. A first data model link between a first one or more asset data model components of an asset data model and a first one or more device data model components of a device data model is dynamically updated. The device data model is processed to determine normalized data relationship paths utilized by an inference engine to populate a device element data set. Embodiments execute an asset data model query against the asset data model comprising analyzing asset data model component metrics by querying the device element data set, based on the updated first data model link, and generate an asset data model descriptive analytics determination output, based on the execution of the asset data model query.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of priority to U.S. Provisional Patent Application No. 62 / 743,333, filed October 9, 2018, and U.S. Provisional Patent Application No. 62 / 776,745, filed December 7, 2018, the disclosures of which The contents are hereby incorporated by reference in their entirety. technical field [0003] The present disclosure relates to digital data organization, and more particularly to systems and techniques for organizing data associated with distributed systems using dynamic ontologies. Background technique [0004] The Internet of Things (IoT) promises to interconnect elements at scale. These connected elements may include devices, vehicles, homes, cities, and any other system or collection of systems that incorporate suitable electronic hardware, software, sensors, and connectivity that enable these systems to collect and exchange data. This incorporation enables the vast amounts of data col...

Claims

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Application Information

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IPC IPC(8): G06F3/0481H04L29/06H04L12/24
CPCH04L67/125G06F16/367H04L67/51G06F16/2379G06F16/26G06F16/2465G06F16/2455G06F16/212G06F2216/03G06N5/04
Inventor V.丹尼尔钦科C.J.埃尔凯德I.可汉J.布罗德
Owner SCHNEIDER ELECTRIC USA INC
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