AR Cognitive Assistance for Hands-Free Maintenance Verification
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Solution Overview
Problem
Existing maintenance systems are inefficient and error-prone due to reliance on paper manuals, limited interaction capabilities of digital manuals, and lack of real-time feedback and data logging, which increases rework, safety risks, and delays in complex maintenance operations.
Innovation Solution
A system and method utilizing augmented reality with audio and 3D visual cues, integrated with IoT sensors for hands-free operation, natural language processing, and machine learning to guide maintainers through tasks, validate step completion, and collect performance data for process improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If paper maintenance manuals are used, then information is readily accessible, 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 with a digital maintenance manual system that can be accessed electronically. This allows the maintainer to search and access maintenance information digitally without physically handling paper manuals, reducing the need to stop work and manually locate information.
Solution Approach 2:
The patent introduces an intermediary system (digital maintenance manual with search capabilities) that mediates between the maintainer and the maintenance information. This intermediary allows for faster retrieval and access to relevant maintenance procedures, reducing the time spent searching through physical manuals.
2Ease of operation
If digital maintenance manuals are used, then the manual becomes portable and searchable, but the maintainer must still have free hands to interact with the manual
Solution Approach 1:
The patent replaces the mechanical interaction of hand-held digital devices with a voice-activated system. The maintainer can interact with the digital maintenance manual using voice commands, eliminating the need to manually navigate through the interface and allowing continuous focus on the maintenance task.
Solution Approach 2:
The system provides self-service capabilities where the digital maintenance manual automatically responds to voice commands, retrieves relevant information, and presents it to the maintainer without requiring manual interaction. This allows the maintainer to keep both hands occupied with the maintenance task while the system handles information retrieval autonomously.
3Ease of operation
If augmented reality glasses are used, then visual guidance is provided, but interaction is limited to voice commands and does not include natural language requests
Solution Approach 1:
The patent implements a multi-functional interaction system that accepts multiple types of input (voice commands, natural language requests, questions) and processes them through a unified interface. This allows the augmented reality glasses to respond to various forms of user input, enhancing versatility while maintaining ease of operation.
Solution Approach 2:
The system incorporates feedback mechanisms where the augmented reality glasses not only provide visual guidance but also respond to user queries and natural language requests with relevant information. This two-way communication enhances the adaptability of the system while maintaining the visual guidance capability.
4Productivity
If existing augmented reality systems are used, then maintenance steps are guided, but real-time monitoring and feedback on step performance are not provided
Solution Approach 1:
The patent implements real-time feedback mechanisms where sensors monitor the maintenance environment and the system provides immediate feedback on whether maintenance steps are being performed correctly. This allows the maintainer to receive guidance on proper technique and confirms when steps are completed accurately, enhancing both productivity and reliability.
Solution Approach 2:
The patent replaces manual verification of maintenance step completion with automated sensing and monitoring systems. Sensors detect whether components are properly assembled, fasteners are tightened to correct specifications, and other critical steps are completed accurately, providing objective verification without requiring manual inspection.
5Reliability
If manual verification of maintenance steps is performed, then errors can be detected, but time is wasted and rework may be required
Solution Approach 1:
The patent replaces manual verification processes with automated sensing systems that continuously monitor maintenance step completion. Sensors detect whether components are properly installed, fasteners are tightened to correct torque specifications, and other critical parameters are within acceptable ranges, providing immediate error detection without requiring manual inspection time.
Solution Approach 2:
The system provides real-time feedback on maintenance step completion accuracy, allowing immediate correction of errors before they become problematic. This continuous monitoring and feedback loop reduces the need for time-consuming post-completion verification and minimizes rework by catching errors during the maintenance process itself.
Data Source
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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