Industrial Assistant Dialogue Control for Multi-Machine Operation
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Solution Overview
Problem
Operators of industrial machines face challenges in efficiently controlling and monitoring multiple machines due to time-consuming training on varied interfaces, manual effort requirements, and the inability to multitask or receive status information without visual attention.
Innovation Solution
An intelligent industrial assistant system that receives natural language inputs, maps them to dialogue templates, and communicates commands to industrial machines or databases, allowing for streamlined control and monitoring across multiple devices without manual effort and enabling non-visual status updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional machine interfaces are used for controlling industrial machines, then machine control functionality is achieved, but training time and manual effort increase significantly
Solution Approach 1:
The patent implements a universal natural language interface that can control multiple different industrial machines with varying traditional interfaces. Instead of requiring separate training for each machine's specific interface, the system provides a single unified interface that translates natural language commands into machine-specific control signals, making the system multi-functional across different machine types while reducing training requirements
Solution Approach 2:
The system introduces a natural language processing intermediary layer between the user and the traditional machine interfaces. This intermediary translates human-friendly natural language into the specific protocol commands required by different machines, eliminating the need for users to learn multiple complex interfaces while maintaining full control functionality
2Ease of operation
If traditional machine interfaces are used for controlling industrial machines, then machine control functionality is achieved, but manual effort and complexity increase
Solution Approach 1:
The patent extracts the complexity of traditional machine interfaces from the user interaction layer and relocates it to the system's internal processing layer. Users interact only with simple natural language, while the system handles the complex translation and protocol conversion internally, effectively removing interface complexity from the user's perspective
Solution Approach 2:
The natural language processing system serves as an intermediary that absorbs and manages the complexity of multiple machine interfaces. Users communicate through simple language while the intermediary handles the complex mapping to various machine-specific protocols, reducing perceived complexity while maintaining full functionality
3Loss of information
If visual display interfaces are used for monitoring machine status, then status information is provided, but user mobility and hands-free operation are restricted
Solution Approach 1:
The patent replaces the mechanical visual display system with an auditory information delivery system. Instead of requiring users to visually check displays to obtain status information, the system uses audio outputs to convey machine status, allowing users to maintain mobility and perform other tasks simultaneously while receiving complete status information
4Adaptability or versatility
If multiple traditional machine interfaces are used for controlling multiple machines, then control capability across machines is achieved, but training time and operational time increase
Solution Approach 1:
The system implements a universal natural language interface that can control multiple different industrial machines simultaneously. A single interface design handles diverse machine types and operations, eliminating the need for separate interface learning for each machine while maintaining full control capability across the entire machine fleet
Solution Approach 2:
The patent merges multiple separate machine control interfaces into a single unified natural language interface. Instead of requiring users to switch between different machine-specific interfaces, the system combines all control functions into one interface that processes natural language commands and routes them to the appropriate machines, reducing operational time while maintaining versatility
Data Source
AI summary
Provided is a method for using an intelligent industrial assistant. The method may include receiving package data comprising at least one dialogue template. A natural language input may be received from a user. At least a portion of the natural language input may be mapped to a first dialogue template of the at least one dialogue template. At least one command may be determined based on the first dialogue template. Command data associated with the at least one command may be communicated. A system and computer program product are also disclosed.