AI Code Generation From Industrial Diagrams Without Programming
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Solution Overview
Problem
Current methods for generating computer-based instruction code require programming knowledge, 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 expertise.
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 the complexity of operation and accessibility are worsened due to requiring programming expertise
Solution Approach 1:
The patent introduces an image-based interface as an intermediary between the operator and the programming system. Operators can create automation code by drawing visual representations of processes instead of writing code directly. This intermediary layer translates visual diagrams into executable automation instructions, maintaining code reliability while eliminating the need for programming expertise.
Solution Approach 2:
The patent replaces the traditional mechanical approach of text-based code writing with a visual drawing system. Instead of manually typing and structuring programming language syntax, operators use graphical interfaces to draw process flows, which are then automatically converted into automation code. This substitution maintains precision while dramatically improving accessibility.
2Manufacturing precision
If programming expertise is required to create automation code, then code construction quality is improved, but the quantity of personnel who can contribute is reduced
Solution Approach 1:
The system enables operators to independently create automation code through visual drawing interfaces without requiring external programming assistance. The automated translation from visual diagrams to executable code allows operators to self-generate quality automation instructions, expanding the pool of contributors while maintaining construction quality through the structured visual methodology.
3Ease of operation
If visual diagram interfaces are implemented for code creation, then ease of operation is improved, but the device complexity increases due to additional processing requirements
Solution Approach 1:
The patent replaces complex text-based programming interfaces with simpler visual drawing tools. The system substitutes manual code syntax construction with automatic translation of visual diagrams, reducing the operational complexity at the user interface while the backend processing handles the conversion complexity transparently.
Data Source
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.