Conditional Data Paths for Industrial Asset Model Connections
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing industrial automation systems face challenges in efficiently determining and establishing data connections for industrial asset models, leading to suboptimal data extraction, analysis, and utilization.
Innovation Solution
A system comprising a processor and memory that determines data connection conditions and establishes data paths for industrial asset models, using a model condition component and device interface component to facilitate data connection and path determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional data connection methods are used in industrial automation systems, then system simplicity is maintained, but data extraction efficiency and reliability deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-defining multiple data connection conditions and associated data paths in advance. When a condition is met, the corresponding pre-configured data path is automatically activated, eliminating the need for complex real-time connection decisions and improving data extraction efficiency without proportionally increasing system complexity.
Solution Approach 2:
The data connection process is segmented into distinct conditions and paths. Each data connection condition corresponds to a specific data path, allowing the system to handle different data extraction scenarios independently. This segmentation enables efficient data extraction for specific conditions while maintaining overall system manageability.
2Reliability
If conditional data connection determination is implemented, then data quality and reliability improve, but processing time and system complexity increase
Solution Approach 1:
Data paths and connection parameters are predetermined and configured in advance for various data connection conditions. When a condition is satisfied, the system simply activates the corresponding pre-configured path rather than performing complex real-time analysis, thereby improving reliability while minimizing additional processing time.
3Measurement precision
If multiple data connection conditions are evaluated, then data extraction accuracy improves, but computational load and processing time increase
Solution Approach 1:
The evaluation process is segmented into discrete, pre-defined conditions rather than continuous complex analysis. Each condition corresponds to a specific data path, allowing the system to evaluate multiple scenarios with minimal computational overhead by simply checking which pre-defined condition is met and activating the corresponding path.
Data Source
AI summary
Conditional industrial data source connection (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 data path information representative of a data path to be traversed to obtain industrial data associated with the defined data connection condition, and establishes a data connection along the data path.