Automation Planning AI for Heterogeneous Configuration Data
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Solution Overview
Problem
Existing assistance systems for automation systems face challenges in comparing and analyzing configuration data from different systems due to varying structures, making it difficult to assist in planning and configuration.
Innovation Solution
An assistance system that includes a configuration database with a vectorization component to convert configuration datasets into vectorized formats, combined with an AI component using a neural network with deep learning architecture for processing and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If configuration data from different automation systems is stored and analyzed directly, then the quantity of available configuration data increases, but the difficulty of comparing and analyzing data increases due to varying structures
Solution Approach 1:
The patent transforms configuration data from different automation systems into a unified parameter structure by extracting and standardizing key parameters. This allows diverse configuration data to be represented in a consistent format that can be directly compared and analyzed, resolving the contradiction between data quantity and structural complexity
Solution Approach 2:
The patent introduces an intermediate processing layer that acts as a mediator between diverse configuration data sources and the analysis system. This intermediary component standardizes the data format and structure before analysis, enabling efficient comparison while maintaining the ability to handle various data sources
2Adaptability or versatility
If configuration data from multiple different automation systems is processed, then the versatility of the assistance system improves, but the complexity of processing heterogeneous data increases
Solution Approach 1:
The patent standardizes heterogeneous configuration data by transforming them into a unified parameter representation. This allows the system to process diverse data from multiple automation systems with consistent processing logic, improving versatility without proportionally increasing processing complexity
Solution Approach 2:
The patent segments the configuration data processing into distinct stages: data extraction, parameter identification, standardization, and analysis. This segmentation allows each stage to handle specific aspects of the data processing, making the overall system more manageable and scalable
Data Source
AI summary
An assistance system for assisting the planning of automation systems includes a configuration database that has configuration datasets of automation systems, where a respective configuration dataset in each case has the configuration data of a predefined automation system, includes a vectorization component for structuring and adjusting configuration datasets, where the vectorization component is configured to convert the configuration datasets of the configuration database into vectorized configuration datasets, and includes an AI component for processing the vectorized configuration datasets using artificial intelligence, where the processing of the vectorized configuration datasets by the artificial intelligence (AI) component entails utilization of a neural network that has a deep learning architecture.