Industrial Data Transformation for Asset Model Compatibility

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Solution Overview

Problem

Industrial automation systems face challenges in efficiently managing and analyzing industrial data due to format incompatibilities and lack of standardized data pathways, which hinders effective data quality and analysis.

Innovation Solution

A system comprising a processor and memory that establishes data connections and converts industrial data from incompatible formats to compatible formats for industrial asset models, enabling seamless data traversal and analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If industrial data is collected from multiple sources with different formats, then data quantity and coverage are improved, but data format compatibility and system complexity deteriorate

Engineering Contradiction:
Improvedata quantityVSAvoidsystem complexity
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent introduces an industrial asset model as an intermediary layer between diverse industrial data sources and analysis systems. This model standardizes data representation using a common schema that can accommodate multiple data formats (JSON, XML, CSV, binary) while presenting a unified interface to consuming systems, thereby resolving format compatibility issues without increasing overall system complexity

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system dynamically changes data format parameters by automatically detecting the input data format and transforming it into the appropriate format for the industrial asset model. The system adapts data structure, encoding, and representation parameters based on the source format, enabling seamless integration of heterogeneous data sources

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If data format conversion is performed for every data source, then data compatibility is improved, but processing time and productivity deteriorate

Engineering Contradiction:
Improvedata compatibilityVSAvoidprocessing speed
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The system performs preliminary actions by pre-defining data paths and transformation rules for known data sources during system initialization. Common data formats and sources are pre-configured with their transformation mappings to the industrial asset model schema, so that during runtime, the system can quickly apply these pre-established transformations without performing complex format detection and conversion for every data point

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The industrial asset model serves as a universal data representation that can accommodate multiple data formats and sources through a single standardized schema. This multi-functional model can represent various types of industrial data (sensor readings, process parameters, equipment status) in a unified structure, reducing the need for separate processing pipelines for different data types

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

3Productivity

If standardized data pathways are established, then data analysis efficiency is improved, but system complexity and implementation difficulty worsen

Engineering Contradiction:
Improvedata analysis efficiencyVSAvoidimplementation complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the data integration system into distinct modular components: data source interfaces, data transformation layers, industrial asset model storage, and analysis interfaces. Each component has a specific responsibility and can be independently configured and maintained. Data paths are defined as discrete, configurable routes that can be enabled or disabled based on operational needs, reducing implementation complexity through modular design

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20240160192A1Industrial data destination transformation
Publication Date: 2024.05.16 ROCKWELL AUTOMATION TECH INC
  • US20240160192A1 patent drawing
  • US20240160192A1 patent drawing
  • US20240160192A1 patent drawing

AI summary

Industrial data destination transformation (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, in response to determining a data path to be traversed to obtain industrial data, establishes a data connection along the data path from the industrial data to an industrial asset model, and a data transformation component that, in response to a determination that the industrial data comprises a first data format, converts the industrial data from the first data format to a second data format, wherein the second data format is compatible with the industrial asset model.