In-Line AI Code Editor for Industrial Control Programming
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional industrial control programming requires specialized knowledge and extends development time due to the need for expert understanding of programming languages, device configuration, and industrial control processes, limiting it to skilled engineers.
Innovation Solution
An integrated development environment (IDE) system utilizing generative AI techniques generates industrial control code and configurations based on intuitive natural language inputs, leveraging custom models and generative AI models to assist in programming and configuration tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional control programming methods are used, then control code can be generated with precise industrial control knowledge, but the programming process requires specialized expertise and extended development time
Solution Approach 1:
The patent introduces an AI assistant as an intermediary between the user and the industrial controller. This AI assistant handles the complex programming tasks by generating control code based on natural language instructions, while the user interacts through simple commands. The AI assistant mediates the complexity by translating user intent into precise control code, thus reducing development time while maintaining code accuracy through its specialized knowledge base.
2Reliability
If specialized programming knowledge is required, then control code can be developed with expert understanding, but the development process is restricted to skilled engineers only
Solution Approach 1:
The AI assistant serves as an intermediary that bridges the gap between users without specialized knowledge and the complex programming requirements. It accepts natural language instructions from any user and translates them into high-quality control code, making the system accessible to a broader range of users while maintaining code quality through the AI's embedded industrial control expertise.
Solution Approach 2:
The patent replaces the mechanical requirement for specialized programming knowledge with an AI-based system. Instead of requiring users to have expert understanding of programming languages and device configurations, the system uses AI to perform these cognitive tasks, substituting human expertise with an automated intelligent system that can be accessed by anyone with basic communication skills.
3Manufacturing precision
If detailed configuration settings are manually programmed, then device configuration can be precisely controlled, but the configuration process becomes complex and time-consuming
Solution Approach 1:
The patent extracts the complex configuration settings and programming details from the user's responsibility and transfers them to the AI assistant. The user only needs to provide high-level natural language instructions, while the AI assistant handles the extraction and configuration of detailed device settings, thus reducing configuration complexity while maintaining precision through the AI's ability to generate accurate control code.
Data Source
AI summary
An integrated development environment (IDE) leverages a generative AI model to generate industrial control code in accordance with specified functional requirements, which can be provided to the industrial IDE system as intuitive natural language spoken or written text. The industrial IDE can also analyze written code in response to natural language prompts submitted against the code, generate answers to user-submitted questions about the code, and offer recommendations for improving the code in response to specific questions or requests submitted by the user.