Industrial IDE Prompt Engineering for AI Control Code Generation
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Solution Overview
Problem
Conventional industrial automation systems require specialized knowledge and extended time for programming and configuration due to the need for expert understanding of programming languages, device configuration settings, and industrial control processes, limiting development to skilled engineers.
Innovation Solution
An integrated development environment (IDE) system utilizing generative artificial intelligence (AI) techniques to generate industrial control code and HMI applications from plain language input, leveraging a generative AI model trained on industrial control code samples, standards, and protocols, facilitating design, programming, and configuration across the automation lifecycle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional programming and configuration methods are used, then control code and HMI applications can be generated with high precision and compliance, but the development time is extended and specialized expertise is required
Solution Approach 1:
The patent introduces an intermediary system comprising a language model and prompt enhancement component that mediates between the user's plain language input and the industrial automation code generation. This intermediary translates natural language into structured prompts, leveraging trained language models to generate compliant control code and HMI applications without requiring users to have specialized programming knowledge, thus reducing development time while maintaining compliance standards
Solution Approach 2:
The system performs preliminary actions by pre-training language models on industrial automation code and standards data before actual code generation. The prompt enhancement component also performs preliminary structuring and refinement of user input before it reaches the language model, ensuring that the generation process starts with optimized parameters that maintain compliance while accelerating development
2Manufacturing precision
If conventional programming and configuration methods are used, then accurate and compliant industrial control code can be produced, but the complexity of the development process increases due to multiple configuration applications and programming languages
Solution Approach 1:
The patent merges multiple separate configuration applications and programming languages into a single integrated system. The unified interface accepts plain language input and generates both control code and HMI applications through a single prompt enhancement component and language model, eliminating the need for developers to switch between multiple specialized tools and reducing process complexity while maintaining accuracy
Solution Approach 2:
The language model and prompt enhancement component serve multiple functions: they translate natural language to code, generate control programming, create HMI applications, and ensure compliance with industrial standards. This multi-functional approach replaces the need for separate specialized applications, reducing the complexity of the development process while maintaining the accuracy required for industrial automation
3Manufacturing precision
If specialized knowledge of programming languages and device configuration is required, then high-quality industrial control solutions can be developed, but the accessibility of the system is reduced to only skilled engineers
Solution Approach 1:
The system introduces a language model-based intermediary that acts as a bridge between users with limited technical knowledge and the complex requirements of industrial automation programming. This intermediary handles the translation from plain language to compliant code, allowing users without specialized expertise to access high-quality industrial control solutions while maintaining the required quality standards through the trained model's knowledge of industrial standards
4Reliability
If multiple separate configuration applications are used for different devices, then each device can be configured with specialized tools, but the overall system integration and development efficiency are reduced
Solution Approach 1:
The patent combines multiple device-specific configuration applications into a single unified system that generates code for various industrial devices through a common language model interface. This merging maintains the reliability of device configuration by leveraging the language model's training on multiple industrial standards and protocols, while simultaneously improving development efficiency by eliminating the need to switch between separate specialized applications
Data Source
AI summary
An integrated development environment (IDE) for designing, programming, and configuring aspects of an industrial automation system uses a generative artificial intelligence (AI) model and associated neural networks to generate portions of an industrial automation project in accordance with functional requirements provided to the industrial IDE system in intuitive formats, such as spoken or written plain language text. The system uses generative AI to translate plain language requests or functional specifications into industrial control code, human-machine interface (HMI) applications, device configuration settings, or other aspects of an industrial control project.