AAS Data Mapping for Unified Multi-Manufacturer Asset Collection
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Solution Overview
Problem
Data collection systems face challenges in storing semi-structured AAS data from various manufacturers due to mismatched field names between AAS data and database fields, preventing unified data collection across different equipment and facilities.
Innovation Solution
A data collection system with a receiving module for semi-structured data, a database, an information storage module for storage positions, and a registration module that writes data based on storage position information, utilizing semantic IDs and a mapping processor to map AAS data into a structured database format, enabling comprehensive data management and remote control of assets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If AAS data from different manufacturers is collected, then data coverage and versatility are improved, but data storage becomes difficult due to format mismatches
Solution Approach 1:
The patent introduces a mapping processor as an intermediary component between the data receiver and the database. This mapping processor contains mapping information that translates AAS data field names into corresponding database field names, enabling seamless data storage without requiring changes to the database structure or the source data format.
Solution Approach 2:
The patent separates the data storage function into two independent parts: the database maintains its fixed structure while the mapping processor handles the translation of AAS data fields. This segmentation allows the database to remain simple and efficient while the mapping processor manages the complexity of format conversion.
2Productivity
If a fixed database structure is used, then data storage efficiency is improved, but semi-structured AAS data cannot be stored due to field name mismatches
Solution Approach 1:
The mapping processor serves as a mediator that translates between the fixed database structure and the semi-structured AAS data format. It uses stored mapping information to automatically match AAS data fields with database fields, enabling efficient storage of diverse data formats without compromising database performance.
Solution Approach 2:
The patent changes the parameter of field name mapping by storing mapping information that associates AAS data field names with database field names. This parameter change enables the system to handle variable AAS data formats while maintaining a fixed, efficient database structure.
3Stability of the object's composition
If manual data format unification is implemented, then data standardization is improved, but system complexity and processing time increase
Solution Approach 1:
The patent implements preliminary action by pre-storing mapping information that defines the correspondence between AAS data field names and database field names. This mapping information is prepared in advance and automatically applied during data reception, eliminating the need for manual format unification processes.
Solution Approach 2:
The mapping processor performs automatic field name translation using pre-stored mapping information, enabling the system to self-service the data standardization task without requiring manual intervention. The system automatically matches AAS data fields with database fields based on the stored mapping relationships.
Data Source
AI summary
According to one embodiment, a data collection system includes a receiving module configured to receive semi-structured data including first data of a first level and a plurality of second data of a second level, the first data including a plurality of the second data, wherein a plurality of second identification information are respectively set for a plurality of the second data, a database, an information storage module configured to store storage position information indicating storage positions of a plurality of the second identification information in the database, and a registration module configured to write a plurality of the second data to the database based on the storage position information.