AR System for Converting Technical Manuals
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Solution Overview
Problem
Current methods for delivering technical manual content to maintenance technicians are cumbersome, leading to a steep learning curve, lower quality work, and increased system downtime due to the need for bulky equipment and printed materials, and they fail to capture and share knowledge effectively as technicians change jobs or retire.
Innovation Solution
An augmented reality system using a head-mounted display that converts technical manual data into interactive, gesture- and voice-command-enabled content, allowing technicians to access information without physical materials and generating data analytics to track performance and share maintenance insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If technical manuals are delivered via printed materials or bulky equipment, then technicians can access manual content, but the system complexity and portability are reduced
Solution Approach 1:
The patent uses head-mounted displays to present digital copies of technical manual content directly to technicians, replacing physical printed manuals and bulky computing equipment. The HMD creates a portable, hands-free interface that delivers manual information without requiring technicians to carry or set up additional equipment.
Solution Approach 2:
The patent replaces mechanical systems (printed manuals, physical equipment) with optical/electronic systems (HMD, digital content delivery). The head-mounted display uses optical components to present information visually, eliminating the need for physical manuals and reducing equipment bulk while maintaining content accessibility.
2Loss of information
If technical manuals are delivered via printed materials, then technicians can access content offline, but knowledge cannot be easily updated or shared between technicians
Solution Approach 1:
The system captures technician interactions with manual content and maintenance performance data, storing this information for analysis and improvement. This feedback loop allows the system to learn from actual usage patterns and update content based on real-world application, ensuring knowledge is both retained and continuously improved.
Solution Approach 2:
The head-mounted display system serves multiple functions: delivering manual content, capturing technician performance data, enabling knowledge sharing across the organization, and providing hands-free operation. This multi-functional platform replaces multiple separate systems while improving both knowledge retention and adaptability.
3Productivity
If technicians use traditional manual delivery methods, then setup is required, but this increases system downtime during maintenance
Solution Approach 1:
The technical manual content is pre-loaded and organized within the HMD system before maintenance begins. Technicians can access relevant information immediately upon donning the device, without requiring setup or configuration during maintenance operations. This preliminary preparation eliminates setup time and keeps technicians productive throughout the maintenance process.
Solution Approach 2:
The HMD system provides technicians with hands-free access to manual content through voice commands, gestures, or automatic context-aware display. Technicians can independently access needed information without requiring external assistance or equipment setup, maintaining productivity while minimizing downtime during maintenance tasks.
Data Source
AI summary
An apparatus includes a head mounted display (HMD) configured to generate sensor data indicative of user inputs. The apparatus further includes a processor configured to communicate with the HMD and a memory coupled to the processor. The memory stores instructions that, when executed by the processor, cause the processor to obtain a data package including technical manual data and one or more visual representations. The instructions also cause the processor to categorize the technical manual data of the data package based on content and formatting of the technical manual data. The instructions cause the processor to select a particular parser based on a categorization of the technical manual data. The instructions further cause the processor to parse, by the particular parser, the technical manual data to convert the technical manual data into converted technical manual data and to generate a data analytics object based on the converted technical manual data.