Context-Aware Industrial Automation Assistance System

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Solution Overview

Problem

In industrial automation environments, resolving issues in a timely and contextual manner is challenging due to the complexity of data collection and the need for detailed information, often requiring manual input and multiple steps, which can prolong problem-solving processes.

Innovation Solution

A computing system collects contextual information, including operational data and user-selected inputs, and transfers it to assisting entities for expedited issue resolution, facilitating context-enabled engagements through automated data collection and help sessions within the industrial application.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual data collection and multiple steps are used to gather detailed information, then the completeness and accuracy of contextual information is improved, but the time required for issue resolution increases

Engineering Contradiction:
Improvecompleteness of contextual informationVSAvoidtime required for issue resolution
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system automatically collects and stores contextual information about the industrial automation environment, operational data, and system configuration in advance before issues occur. This preliminary data gathering eliminates the need for manual information collection during problem-solving, providing complete contextual information instantly when needed.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary system that acts as a bridge between the industrial automation environment and the assisting entity. This intermediary automatically gathers, processes, and transmits relevant contextual information, eliminating the need for manual data collection while ensuring complete and accurate information transfer.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If automated data collection is implemented, then the speed of issue resolution is improved, but the complexity of the system increases

Engineering Contradiction:
Improvespeed of issue resolutionVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system integrates multiple functions into a single automated data collection platform that can gather operational data, system configuration information, error logs, and contextual environment data. This multi-functional approach increases productivity while managing complexity by consolidating rather than multiplying components.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system is designed to automatically identify, collect, and transmit relevant contextual information without requiring additional manual intervention or complex configuration. The automated nature of the system allows it to serve itself in gathering and managing data, improving speed while keeping the operational complexity low.

Inventive Principle:
Principle #25Self-service

3Reliability

If detailed contextual information is collected and transferred, then the quality of assistance provided is improved, but the amount of data to be processed increases

Engineering Contradiction:
Improvequality of assistanceVSAvoidamount of data to be processed
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The system extracts only the most relevant and critical contextual information from the vast amount of available data in the industrial automation environment. By selectively gathering only the data necessary for effective assistance, the system maintains high quality of support while minimizing the volume of data that needs to be processed and transmitted.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies different levels of data collection detail to different types of information based on their relevance to the specific issue. Critical system parameters and error-related data are collected with high detail, while less relevant information is gathered at a summary level, optimizing the balance between assistance quality and data processing requirements.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS10809681B2Data collection for assistance in an industrial automation environment
Publication Date: 2020.10.20 ROCKWELL AUTOMATION TECH INC
  • US10809681B2 patent drawing
  • US10809681B2 patent drawing
  • US10809681B2 patent drawing

AI summary

Techniques to facilitate assistance to a user of an industrial application associated with an industrial automation environment are disclosed herein. In at least one implementation, a graphical user interface (GUI) associated with the industrial application is displayed on a display system of a computing system. The computing system collect contextual information comprising data associated with the industrial application. A help session is initiated with an assisting entity from within the industrial application, and the contextual information is transferred for delivery to the assisting entity.