Industrial Data Staging for Asset Model Format Alignment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Industrial automation systems face challenges in efficiently managing and transforming industrial data to align with compatible asset models, leading to inefficiencies in data utilization and analysis.
Innovation Solution
A system comprising a processor and memory that determines data connection conditions, identifies compatible industrial data sources, and converts data formats to match industrial asset models, enabling seamless data retrieval and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If industrial data is retrieved from multiple data sources with different formats, then data completeness is improved, but data compatibility and processing complexity worsen
Solution Approach 1:
The patent introduces an intermediary component (data staging/transformion system) that sits between the industrial data sources and the asset model. This intermediary automatically transforms data from multiple different formats into a standardized format that is compatible with the asset model, thereby maintaining data completeness from multiple sources while reducing processing complexity through automated transformation rather than manual handling of each format variation.
Solution Approach 2:
The system dynamically changes data format parameters by detecting the source format and automatically applying appropriate transformation rules. The system modifies parameters such as data structure, encoding, and schema to convert heterogeneous data into a unified format compatible with the asset model, thus resolving the contradiction between utilizing multiple data sources and managing format complexity.
2Adaptability or versatility
If data format conversion is performed manually, then compatibility with asset models is improved, but time consumption and operational efficiency worsen
Solution Approach 1:
The data transformation system operates autonomously without requiring manual intervention. It automatically detects the source data format, selects the appropriate transformation rules, performs the conversion, and validates compatibility with the asset model. This self-service capability maintains high data compatibility while eliminating the time consumption associated with manual format conversion processes.
Solution Approach 2:
The system performs preliminary actions by pre-defining transformation rules and validation schemas for various industrial data formats. When data is retrieved, the system has already prepared the necessary transformation logic, enabling rapid automated conversion without manual intervention. This preliminary preparation of transformation capabilities significantly reduces time consumption while maintaining compatibility.
3Reliability
If data is stored in original formats from various sources, then data fidelity is improved, but usability and integration with asset models worsen
Solution Approach 1:
The system segments the data handling process into distinct stages: original data retention, format detection, transformation application, and validated output generation. By segmenting the process, the system preserves the original data in its source format (maintaining fidelity) while creating a separate transformed version for asset model integration (improving usability). This segmentation allows both requirements to coexist without compromise.
Data Source
AI summary
Industrial automation data staging and 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 model condition component that determines whether a defined data connection condition, applicable to an industrial asset model, has been satisfied, and a device interface component that in response to the defined data connection condition being determined to be satisfied, determines an industrial data source that comprises industrial data associated with the defined data connection condition, sends a request to the industrial data source determined to comprise the industrial data to provide the industrial data in a second data format determined to be compatible with the industrial asset model, and retrieves the industrial data from the industrial data source, wherein the industrial data has been converted by the industrial data source from a first data format to the second data format.