Industrial Data Matching for Real-Time Asset Model Updates

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Solution Overview

Problem

Industrial automation systems face challenges in accurately modeling and analyzing industrial data, leading to inefficiencies in data quality and operational insights due to missing data representation and lack of real-time updates in industrial asset models.

Innovation Solution

A system comprising a processor and memory that matches industrial data to industrial devices within an asset model, extracts the data, and updates the model by associating it with the device, enabling enhanced data quality, analysis, and real-time insights through contextualization and metadata application.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If industrial asset models are updated in real-time with matched industrial data, then data accuracy and reliability are improved, but device complexity and processing requirements increase

Engineering Contradiction:
Improvedata accuracyVSAvoidprocessing complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary matching of industrial data to asset models before extraction and update operations. The device interface component pre-establishes relationships between industrial data and corresponding asset models, preparing the data structure in advance to facilitate accurate real-time updates without overwhelming processing complexity during execution

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary processing layer that mediates between raw industrial data and the asset model update mechanism. This intermediary component matches and validates data before extraction, acting as a buffer that improves data accuracy while managing processing complexity by filtering and preparing data in stages

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of information

If comprehensive data extraction and model updating is performed, then operational insights and predictive capabilities are improved, but processing time and computational resources increase

Engineering Contradiction:
Improvedata completenessVSAvoidprocessing time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system extracts only the specific industrial data that is relevant and matchable to existing asset models, rather than processing all available data. The device interface component identifies and extracts only those data elements that can be associated with known asset models, ensuring data completeness for modeled assets while reducing unnecessary processing time for unmodeled or irrelevant data

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies partial action by performing data extraction and model updating only for the portion of industrial data that can be matched to existing asset models. This selective approach ensures comprehensive coverage of modeled data while avoiding excessive processing time on data that cannot be immediately integrated, allowing the system to progress with available information

Inventive Principle:
Principle #16Partial or excessive action

3Adaptability or versatility

If industrial data is matched and extracted to update asset models, then adaptability and versatility of the system are improved, but device complexity increases

Engineering Contradiction:
Improvesystem adaptabilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The device interface component is designed with universal functionality to handle multiple types of industrial data sources and asset model formats. It provides a unified matching and extraction mechanism that can adapt to various data structures and model types without requiring separate processing paths, thereby improving system versatility while managing complexity through a standardized approach

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20240160811A1Industrial data extraction
Publication Date: 2024.05.16 ROCKWELL AUTOMATION TECH INC
  • US20240160811A1 patent drawing
  • US20240160811A1 patent drawing
  • US20240160811A1 patent drawing

AI summary

Industrial data extraction (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a device interface component that matches industrial data, accessible via an industrial asset model and determined not to be represented in the industrial asset model, to an industrial device represented in the industrial asset model, and in response to matching the industrial data to the industrial device, extracts the industrial data into the industrial asset model, and a model update component that updates the industrial asset model, resulting in an updated industrial asset model, wherein updating the industrial asset model comprises associating the industrial data with the industrial device.