Control Function Execution Mapping for Hardware Integration Changes
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Solution Overview
Problem
The manual updating of software to ensure compatibility with new or substituted hardware components in control systems is time-consuming, labor-intensive, and difficult to test, limiting the pace at which hardware components can be integrated with existing operating system platforms.
Innovation Solution
A method that determines the optimal 'place' and 'route' for executing a control function by assessing processing and communication capabilities of hardware components, generating and optimizing solutions using machine learning to select the most desirable execution path, thereby automating the integration process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual software updating is performed to ensure compatibility with new or substituted hardware components, then software compatibility and functionality are maintained, but development time and labor intensity increase significantly
Solution Approach 1:
The system automatically determines execution places and data signal routes by analyzing hardware component characteristics and communication connections, eliminating the need for manual software updates. The control system self-adapts to new or substituted hardware components by autonomously generating optimized execution plans based on hardware capabilities and communication topology.
Solution Approach 2:
The system dynamically adjusts execution parameters (processing location, communication routes) based on hardware component characteristics. By changing these parameters automatically rather than manually updating software, the system maintains compatibility across different hardware configurations while reducing development time.
2Reliability
If manual determination of execution place and data signal route is performed, then software compatibility is ensured, but the pace of hardware component integration is limited
Solution Approach 1:
The control system autonomously determines the optimal execution place and data signal route by analyzing hardware characteristics and communication connections. This self-service capability enables rapid integration of new hardware components without manual software intervention, significantly increasing the pace of hardware integration while maintaining compatibility.
Solution Approach 2:
The system dynamically generates optimized execution plans based on real-time hardware component characteristics and communication topology. This dynamic adaptation allows the system to quickly accommodate new or substituted hardware components, accelerating the integration pace while ensuring software compatibility through automated optimization.
3Reliability
If manual software updates are performed for each hardware component change, then compatibility is maintained, but the complexity of the development process increases
Solution Approach 1:
The control system automatically adapts to hardware component changes by autonomously determining execution places and communication routes. This eliminates the complex manual process of updating software for each hardware change, reducing development process complexity while maintaining hardware-software compatibility through automated analysis and optimization.
4Reliability
If manual testing and simulation is performed for software updates, then compatibility issues are detected, but the process becomes difficult to test and simulate
Solution Approach 1:
The control system performs automated compatibility verification by analyzing hardware characteristics and generating optimized execution plans. This self-service testing approach detects compatibility issues automatically without requiring complex manual testing and simulation processes, reducing testing difficulty while ensuring software compatibility.
Data Source
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AI summary
A method of optimizing execution of a control function on a control system including a plurality of hardware components includes: determining a processing capability and a communication capability of each of the plurality of hardware components; generating a plurality of solutions for executing the control function using the plurality of hardware components based on a processing capability and a communication capability of each of the plurality of hardware components; scoring the plurality of generated solutions based on a desirability of each solution; selecting a solution having a highest desirability score; and controlling the control system to execute the control function based on the selected solution.