AR Maintenance Assistant With IoT Feedback and Voice Guidance
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Solution Overview
Problem
Current maintenance systems, including digital manuals and augmented reality solutions, fail to accurately guide maintainers through tasks, lack real-time feedback, and do not effectively log performance data, leading to inefficiencies and potential errors in maintenance processes.
Innovation Solution
A system and method that utilize IoT sensors, cognitive natural language processing, and augmented reality to provide hands-free guidance, validate task completion, and collect performance metrics, allowing maintainers to interact with maintenance tools using voice commands and receive real-time feedback through audio and visual cues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If paper maintenance manuals are used, then information can be stored and referenced, but the maintainer must constantly stop work to reference the manual, extending task time and increasing errors
Solution Approach 1:
The patent replaces the mechanical system of paper manuals and digital screens with an augmented reality overlay system that projects maintenance instructions directly into the maintainer's field of view. This substitution eliminates the need to physically move between the manual and the equipment, allowing simultaneous viewing of both instructions and the work area, thereby reducing task completion time while maintaining information availability.
Solution Approach 2:
The augmented reality display acts as an intermediary between the maintenance manual and the maintainer. Instead of the maintainer directly interacting with paper or digital screens, the AR system mediates by overlaying contextualized instructions onto the physical equipment, providing step-by-step guidance that appears precisely where needed in the maintainer's visual field.
2Ease of operation
If digital maintenance manuals are used, then portability and searchability are improved, but the maintainer must still have free hands to interact with the manual
Solution Approach 1:
The patent replaces the mechanical interaction required by digital manuals (touching screens, turning pages) with a voice-controlled and gesture-recognized interface. The system substitutes manual hand operations with speech commands and simple hand gestures, freeing both hands for maintenance tasks while maintaining full manual functionality.
Solution Approach 2:
The system provides self-service by automatically displaying relevant maintenance steps based on voice commands or contextual recognition, eliminating the need for the maintainer to manually navigate through digital manual interfaces. The system serves itself by understanding natural language requests and presenting appropriate information without requiring traditional manual interaction.
3Ease of operation
If augmented reality glasses are used, then visual guidance is provided, but the system does not determine the task to be performed nor the steps using ordinary language requests
Solution Approach 1:
The patent replaces the mechanical interface of fixed voice commands with cognitive natural language processing. Instead of requiring users to learn specific command structures, the system substitutes rigid command recognition with flexible semantic understanding, allowing maintainers to describe problems in ordinary language and receive appropriate task guidance.
Solution Approach 2:
The system changes the parameter of language processing from fixed keyword matching to dynamic natural language interpretation. By adjusting the complexity and flexibility of language understanding, the system can adapt to various user expressions, question formats, and problem descriptions while maintaining accurate task identification and step guidance.
4Loss of information
If existing AR systems are used, then maintenance steps are displayed, but the system does not monitor the performance of the steps or provide feedback confirming proper performance
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors maintenance task performance through sensors and computer vision, comparing actual actions against required steps. The system provides real-time feedback through the AR display, confirming proper performance or alerting to errors, thereby ensuring task completion accuracy while maintaining comprehensive guidance information.
Solution Approach 2:
The patent replaces manual self-checking and verification with automated sensor-based monitoring. Instead of relying on the maintainer to verify their own work, the system substitutes human verification with objective sensor measurements and computer vision analysis, providing reliable feedback on task performance accuracy.
Data Source
AI summary
A cognitive assistant that allows a maintainer to speak to an application using natural language is disclosed. The maintainer can quickly interact with an application hands-free without the need to use complex user interfaces or memorized voice commands. The assistant provides instructions to the maintainer using augmented reality audio and visual cues. The assistant will walk the maintainer through maintenance tasks and verify proper execution using IoT sensors. If after completing a step, the IoT sensors are not as expected, the maintainer is notified on how to resolve the situation.