Industrial Automation Code Changes With Rule-Based Edit Integration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Industrial automation system design and maintenance are hindered by the lack of efficient tools for ensuring compliance with design rules, compatibility of components, and effective troubleshooting, leading to resource-intensive and error-prone processes.
Innovation Solution
The implementation of AI and machine learning technologies to enforce design rules, suggest compatible components, and provide automated troubleshooting suggestions, along with a light engineering client environment for minor adjustments, reduces the complexity of industrial automation system design and maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual code writing and component configuration is used by designers, then design flexibility and customization are achieved, but design time and complexity increase significantly
Solution Approach 1:
The system performs preliminary actions by automatically generating code frameworks, suggesting compatible components, and pre-configuring system architectures based on high-level specifications. This reduces the manual effort required during the actual design phase while maintaining flexibility through configurable parameters and customizable components.
Solution Approach 2:
The patent replaces manual mechanical coding processes with automated software systems that generate code, validate configurations, and manage component compatibility. This substitution maintains design flexibility through programmable interfaces while dramatically reducing the time and effort required for manual code writing and system integration.
2Manufacturing precision
If designers manually update component names and configurations throughout the system, then naming conventions are maintained, but human error increases and productivity decreases
Solution Approach 1:
The system performs self-service by automatically detecting component name changes and propagating updates throughout the codebase and configuration files. The automated system maintains naming conventions and references without human intervention, eliminating manual update tasks and reducing errors while improving productivity.
Solution Approach 2:
The patent implements feedback mechanisms that automatically detect changes in component names and configurations, then propagate these changes throughout the system. This closed-loop approach ensures naming convention compliance is maintained automatically, preventing errors and reducing the time required for manual updates.
3Stability of the object's composition
If designers are required to review previous designs and specifications for each new component, then design consistency is maintained, but the design process becomes resource-intensive
Solution Approach 1:
The system performs preliminary actions by automatically analyzing previous designs and specifications, then using this information to suggest compatible components and validate new configurations. This maintains design consistency through automated reference checking while reducing the resource intensity of manual review processes.
Solution Approach 2:
The patent replaces manual design review processes with automated software systems that analyze previous designs, validate component compatibility, and ensure consistency with existing specifications. This substitution maintains design quality while significantly reducing the time and resources required for review.
4Reliability
If the system provides comprehensive design rule enforcement and compatibility checking, then system reliability improves, but design complexity and processing time increase
Solution Approach 1:
The system applies partial action by implementing design rule enforcement and compatibility checking at critical decision points rather than continuously throughout the entire design process. This selective approach maintains system reliability by validating key configurations while reducing the perceived complexity and processing time for users.
Solution Approach 2:
The patent introduces intermediary components that automatically handle design rule enforcement and compatibility checking in the background. These intermediaries validate configurations without requiring users to directly engage with complex validation rules, thereby maintaining reliability while simplifying the user experience.
Data Source
AI summary
A (GUI) for designing an industrial automation system includes a design window and a first accessory window. The GUI presents a library visualization representative of a plurality of objects within the first accessory window, each object is represented by an icon and corresponds to a respective industrial automation device. The GUI receives inputs indicative of a selection of one or more objects of the plurality of objects from the library, presents the one or more objects in the design window, determines that the one or more inputs do not comply with a set of industrial automation system rules comprising one or more relationships between a plurality of industrial automation devices, and displays a warning message that the one or more inputs do not comply with the set of industrial automation system rules.