Remote Expert Training System with Dynamic Content Adaptation

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Solution Overview

Problem

Existing training systems face challenges in efficiently generating and updating content to guide field users in performing specific tasks, as they require extensive manual effort and resources, including the need for continuous creation and modification of training material by remote experts, which is time-consuming and costly.

Innovation Solution

A system that integrates a remote expert system with a training system, allowing for the automatic generation and adjustment of training content based on interactions between field users and remote experts, using feedback data to create and update training profiles, and enabling the storage and retrieval of this content for future use, leveraging artificial intelligence and machine learning to improve instruction clarity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual creation and modification of training content by remote experts is used, then training content can be customized and updated, but the process becomes time-consuming and costly

Engineering Contradiction:

Improvetraining content customizationVSAvoidcontent creation time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent uses virtual reality copies and simulations of real-world environments to create training content. Instead of manually creating training scenarios, the system captures real-world environments through cameras and sensors, then generates virtual reality representations that can be reused and modified digitally, dramatically reducing the time required to create customized training content while maintaining adaptability

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The system allows remote experts to modify training content parameters digitally rather than physically recreating scenarios. By changing parameters in the virtual environment (such as object positions, task sequences, or environmental conditions), the system can rapidly generate customized training content without the time-consuming process of physical setup and manual content creation

Inventive Principle:

Principle #35Parameter changes

2Reliability

If extensive manual effort is used to create training content, then content quality can be maintained, but resource requirements increase

Engineering Contradiction:

Improvecontent qualityVSAvoidresource requirements

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system enables automated capture and processing of training content through sensors, cameras, and image processing algorithms that automatically identify objects, track movements, and generate training scenarios without requiring extensive manual intervention. This self-service approach maintains content quality while reducing the need for human resources and complex manual processes

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical content creation processes with automated image processing, computer vision algorithms, and virtual reality generation systems. These automated systems process visual data to create training content, eliminating the need for manual content assembly and reducing resource requirements while maintaining or improving content quality through consistent automated processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If continuous creation and modification of training material is performed, then training effectiveness improves, but cost increases

Engineering Contradiction:

Improvetraining effectivenessVSAvoidcontent maintenance cost

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The system performs preliminary capture and processing of training environments and scenarios in advance, creating reusable virtual reality assets and pre-configured training modules. This preliminary action allows for rapid deployment and updating of training content without requiring extensive resources at the time of actual training delivery, reducing ongoing maintenance costs while maintaining training effectiveness

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system creates universal training content that can be applied across multiple scenarios and tasks. By developing versatile virtual reality training modules that can be configured for different purposes, the system reduces the need for continuous creation of separate training materials, thereby improving training effectiveness across multiple applications while reducing the cumulative cost of content development and maintenance

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS11586852B2System and method to modify training content presented by a training system based on feedback data

Publication Date: 2023.02.21 ROCKWELL AUTOMATION TECH INC

AI summary

A system includes a training system configured to display first image data and a remote expert system configured to display second image data that corresponds to the first image data, receive feedback data associated with the second image data, and transmit a command to the training system based on the feedback data. The command is configured to modify the first image data presented via the training system.