Industrial Assistant Dialogue Templates for Multi-Machine Voice Control
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Solution Overview
Problem
Users of industrial machines face challenges in efficiently controlling and monitoring multiple machines due to time-consuming training on different interfaces, manual efforts required, and limitations in using machines with occupied hands or non-visual status indications.
Innovation Solution
A method and system for developing dialogue templates for an intelligent industrial assistant, allowing users to create and communicate domain-specific commands through a graphical user interface, enabling natural language inputs and reducing the need for extensive training by generating and verifying dialogue templates for various machine operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional physical interfaces (keyboard, keypad) are used for machine control, then machines can be controlled and monitored, but training time increases and manual efforts are required
Solution Approach 1:
The patent replaces traditional mechanical physical interfaces (keyboards, keypads, buttons) with a voice-based natural language interface. Users speak commands in natural language instead of manually operating physical controls, eliminating the need to learn machine-specific physical interfaces while maintaining full machine control capability.
Solution Approach 2:
The voice interface system provides universal control across multiple machine types and functions through a single interface paradigm. The same natural language processing system handles diverse commands (start, stop, monitor, adjust parameters) across different industrial machines, eliminating the need for separate training on each machine's unique physical interface.
2Loss of information
If multiple machines are monitored via separate physical interfaces, then machine status can be received, but manual efforts and time are required to move between machines
Solution Approach 1:
A single voice interface system provides universal access to multiple machines simultaneously. The user can issue commands to and receive status from multiple different industrial machines through the same natural language interface, eliminating the need to physically move between machines or learn multiple separate control systems.
Solution Approach 2:
The patent merges control of multiple separate machines into a unified voice interface system. Instead of interacting with each machine's separate physical interface, the user consolidates all machine interactions through one voice-based system, reducing time and effort while maintaining comprehensive monitoring capability.
3Loss of information
If visual display screens are used for machine status indication, then status information can be displayed, but users cannot receive indications while looking elsewhere
Solution Approach 1:
The patent replaces visual display screens with a voice-based output system. Instead of requiring users to visually check display screens for machine status, the system provides status information through voice responses, allowing users to maintain situational awareness while performing other tasks without visual attention on the interface.
Solution Approach 2:
The voice interface system provides active status reporting to the user through speech, rather than requiring the user to passively check visual displays. The system serves itself by proactively delivering information in a format that does not require the user's visual attention or manual interaction.
4Ease of operation
If domain-specific commands are developed for voice interfaces, then natural language control is enabled, but difficulty increases in making commands compatible across different machines and roles
Solution Approach 1:
The patent implements a universal natural language processing system that handles diverse machine-specific commands through a single unified interface. The system translates various domain-specific commands across different machines and user roles into a common processing framework, maintaining compatibility without requiring separate command sets for each machine type.
Solution Approach 2:
The voice interface system dynamically adapts to different machines, user roles, and command contexts. Rather than requiring rigid pre-programmed commands for each scenario, the system flexibly interprets natural language inputs and adjusts its processing based on the specific machine, user role, and operational context, simplifying compatibility across diverse applications.
Data Source
AI summary
Provided is a method for developing at least one dialogue template for an intelligent industrial assistant. The method may include receiving first group identification data associated with a first group of features. First feature identification data associated with a first feature of the first group of features may be received. First sequence identification data associated with a first sequence performable by an intelligent industrial assistant based on the first feature may be received. Expected dialogue data associated with expected dialogue of the first sequence may be received. Action data associated with at least one action of the first sequence may be received. A first dialogue template based on the first group identification data, the first feature identification data, the first sequence identification data, the expected dialogue data, and the action data may be generated. A system and computer program product are also disclosed.