Visual Automation Code Generation from Industrial Diagrams
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Solution Overview
Problem
Current methods for generating computer-based instruction code require programming expertise, limiting the ability of non-technical individuals, such as machine operators, to create and control automated processes.
Innovation Solution
A system that utilizes digital images of industrial processes to generate automation code, employing artificial intelligence and machine learning to analyze and convert graphical representations into executable code, thereby eliminating the need for programming knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional programming methods are used to create automation code, then code quality and reliability are improved, but accessibility and ease of operation deteriorate because programming expertise is required
Solution Approach 1:
The patent introduces an image-to-code conversion system as an intermediary between the operator's visual understanding of the process and the automated code generation. The operator draws a visual representation of the desired automation process, and the system automatically translates this visual input into executable automation code, eliminating the need for the operator to directly write programming code while maintaining code reliability through systematic conversion rules and validation mechanisms
2Ease of operation
If automated code generation from images is implemented, then ease of operation and accessibility are improved, but device complexity and system sophistication worsen due to the need for AI/ML components
Solution Approach 1:
The patent employs image processing and pattern recognition techniques that analyze the visual drawing created by the operator and generate corresponding automation code through template matching and rule-based conversion. The system creates a digital representation (copy) of the operator's visual intent and systematically transforms it into code, reducing the need for complex AI/ML models while maintaining ease of operation through structured visual-to-code translation
3Manufacturing precision
If manual programming is required for automation tasks, then precision and control over automation logic are improved, but productivity and development time deteriorate
Solution Approach 1:
The patent enables operators to define automation logic visually through drawings before code generation occurs. This preliminary visual specification allows operators to precisely articulate their automation requirements in a intuitive graphical format, and the system then automatically generates the corresponding precise code, eliminating the time-consuming process of manual programming while maintaining logic precision through the structured visual-to-code translation process
Data Source
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AI summary
Various systems and methods are presented regarding generating executable computer code/instructions from input files, whereby the input files may be an image file (e.g., JPEG, PDF, etc.). The image file can be digital capture of a sequence of instructions such as a graphical representation comprising a ladder diagram, a function block diagram, a sequential function chart, etc. P&ID and suchlike can also be submitted to the system. Code generated from the input files can be enhanced by application of historical data comprising pertinent subroutines, and suchlike. Further, an entity can be prompted to provide further information in the event of the input file does not provide all of the content.