PLC Machine Control Using Context-Aware AI Command Generation
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Solution Overview
Problem
The programming and optimization of industrial machines is time-consuming, requiring repeated revisions to achieve optimal performance.
Innovation Solution
A method utilizing a Language Model, such as a pre-trained AI, to automatically generate machine commands for industrial machines by leveraging information from a Context Information Library, translating human language inputs into machine commands through a Language Model Interface for control units like PLCs, enabling rapid optimization and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional programming methods are used to control industrial machines, then the machine can be operated and controlled, but the programming and optimization process is time-consuming and requires repeated revisions
Solution Approach 1:
The patent replaces the mechanical programming process (manual coding and debugging) with an AI-based language model system. The language model automatically generates control code and optimization parameters based on natural language descriptions of desired machine behavior, eliminating the need for manual programming and repeated revisions.
Solution Approach 2:
The language model system enables the industrial machine to self-program and self-optimize. By providing the language model with access to the control unit and machine parameters, the system automatically generates and implements programming solutions without requiring external engineers to perform repeated programming cycles.
2Adaptability or versatility
If engineers manually program and optimize industrial machines, then the machines can be adapted to specific tasks, but the process requires significant time and expertise
Solution Approach 1:
The language model acts as an intermediary between the engineer's natural language description and the machine's control code. This intermediary automatically translates high-level task descriptions into specific programming instructions, eliminating the need for engineers to directly write and debug complex control code while maintaining full adaptability.
Solution Approach 2:
The system performs preliminary programming actions automatically by generating control code before the machine operation begins. The language model pre-computes the optimal control sequences and parameters based on the desired task, eliminating the need for on-the-fly programming adjustments and repeated revisions during operation.
Data Source
AI summary
The invention relates to a method of controlling an industrial machine, the industrial machine comprising a control unit, e.g. a PLC, and at least one actuator and/or sensor which is controlled by the control unit, whereina Language Model is provided,a Language Model Interface is provided,a Context Information Library is provided, which stores information on the industrial machine, particularly commands executable by the industrial machine,whereinthe Language Model Interface provides information on the industrial machine from the Context Information Library to the Language Model,the Language Model sends commands to be executed by the industrial machine to the Language Model Interface,the Language Model Interface translates the commands received from the Language Model into machine commands for the control unit.