Industrial Automation Simulation Tool with Domain-Specific Models

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Solution Overview

Problem

Industrial simulation tools often require extensive training due to their complex functionality and varied system requirements, which can lead to inefficient simulation performance and design processes.

Innovation Solution

Providing tailored simulation templates and models specific to common applications, including domain-specific models, industry templates, and enhanced device models that offer suggested parameters and profiles derived from past experiences, to facilitate efficient simulation performance and design optimization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If general functionality is provided to accommodate wide variety of applications, then adaptability is improved, but device complexity increases and ease of operation deteriorates

Engineering Contradiction:
ImproveadaptabilityVSAvoidcomplexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The simulation tool is divided into specialized modules for different automation applications (robotics, PLC control, vision systems, etc.), each containing pre-configured domain-specific models and parameters. This segmentation allows the tool to maintain high adaptability across diverse applications while keeping each module's complexity manageable and focused.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Domain-specific models, parameters, and configurations are pre-prepared and stored in databases for various automation applications. When a user selects a specific application type, the corresponding pre-configured models are automatically loaded, eliminating the need for users to manually configure complex parameters from scratch and significantly reducing operational complexity.

Inventive Principle:
Principle #10Preliminary action

2Manufacturing precision

If extensive training is provided to master complex functionality, then simulation accuracy is improved, but loss of time increases

Engineering Contradiction:
Improvesimulation accuracyVSAvoidtraining time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The system incorporates intelligent defaults and auto-configuration capabilities that automatically select appropriate parameters and models based on the chosen application type. This self-service approach allows users to achieve accurate simulation results without extensive training, as the system guides them through the process and fills in technical details automatically.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Domain experts have pre-configured standardized models and parameter sets that act as intermediaries between the user and the complex simulation engine. These pre-packaged models encapsulate expert knowledge and best practices, allowing users to achieve high simulation accuracy without needing to understand the underlying complex functionality.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS7809534B2Enhanced simulation models for automation
Publication Date: 2010.10.05 ROCKWELL AUTOMATION TECH INC
  • US7809534B2 patent drawing
  • US7809534B2 patent drawing
  • US7809534B2 patent drawing

AI summary

A simulation tool for an industrial automation system is provided. The tool includes a simulation component that simulates one or more components of an industrial control system. At least one directed model provides one or more suggested parameters or profiles to the simulation component, where the suggested parameters or profiles are derived from data relating to an industry or controls application.