Industrial Automation Code Library for Device Compatibility Checks
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Solution Overview
Problem
Designing and troubleshooting industrial automation systems is inefficient due to the lack of design guidelines, compatibility checks, and naming conventions, leading to human error and resource-intensive manual updates, which often requires specialized expertise and results in limited understanding and modification capabilities for operators.
Innovation Solution
Implementing AI and machine learning to enforce design rules, suggest compatible components and connections, automate naming conventions, and provide a light engineering client environment for minor adjustments, while using component libraries and project code analysis algorithms to improve system design and maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If designers manually write code for each device and update naming conventions, then design flexibility is maintained, but design time and productivity are significantly reduced
Solution Approach 1:
The system performs preliminary actions by automatically generating device names according to naming conventions before the designer needs to use them. When devices are added to the project, the system proactively assigns names following the configured conventions, eliminating the need for manual naming updates later in the design process.
Solution Approach 2:
The system serves itself by automatically managing naming conventions without requiring designer intervention. The naming system monitors device additions and modifications, then autonomously updates names to maintain convention compliance, freeing the designer from manual naming tasks while preserving design flexibility.
2Adaptability or versatility
If designers are allowed to use any objects without restrictions, then design freedom is maximized, but system reliability decreases due to incompatible connections
Solution Approach 1:
The system implements feedback by continuously monitoring device connections and comparing them against compatibility rules. When incompatible connections are detected, the system provides immediate warnings to the designer, allowing correction before deployment. This feedback loop maintains design freedom while ensuring system reliability through automated validation.
Solution Approach 2:
The system applies preliminary anti-action by preventing incompatible connections before they can cause system failures. Through rule-based validation, the system identifies and warns against problematic device combinations in advance, allowing designers to correct issues during the design phase rather than during operation, thus maintaining both freedom and reliability.
3Reliability
If highly trained designers are used to ensure system correctness, then system reliability is improved, but cost and accessibility are reduced
Solution Approach 1:
The system performs self-service by automatically enforcing naming conventions and compatibility rules without requiring designer expertise. The automated validation and warning systems handle correctness checks that would otherwise require highly trained designers, making the system accessible to operators with minimal training while maintaining high reliability.
Solution Approach 2:
The system replaces the mechanical system of human expertise with an automated software-based validation system. Instead of relying on designers' knowledge and experience to ensure correctness, the system uses algorithmic rule enforcement to automatically detect and prevent errors, democratizing access to reliable system design.
4Manufacturing precision
If manual updates are performed to maintain naming conventions, then convention compliance is ensured, but time consumption and human error increase
Solution Approach 1:
The naming system provides self-service by automatically generating and updating device names according to configured conventions. When devices are added, modified, or removed from the project, the system autonomously adjusts names to maintain convention compliance, eliminating manual updating tasks entirely and preventing human errors associated with manual name management.
Data Source
AI summary
A system is configured to receive a first selection of a first object corresponding to a first portion of computer code that defines a first operation of a first industrial automation device from a library, receive a second selection of a second object corresponding to a second portion of computer code that defines a second operation of a second industrial automation device from the library, and generate an industrial automation project code file. Generating the industrial automation project code file includes modifying the first portion of computer code to enable the first industrial automation device to operate in conjunction with the second industrial automation device, modifying the second portion of computer code to enable the second industrial automation device to operate in conjunction with the first industrial automation device, and combining the modified first portion of computer code and the modified second portion of computer code.