Equipment Behavior Catalog With AI Models for Production Simulation

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current virtual production systems lack accurate prediction of productivity and efficiency due to limited information in equipment catalogs, which only include equipment properties, not operation behavior, and require integration of artificial intelligence models for improved simulation.

Innovation Solution

An apparatus for configuring an equipment behavior catalog (EBC) that includes an artificial intelligence model storage and EBC storage, incorporating properties, behavior, and external interactions, with the AI model using prediction functions to generate static or dynamic values for simulation models, allowing for embedding AI models in simulation units.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If equipment catalogs include only equipment properties, then the catalog structure remains simple, but the accuracy of productivity and efficiency prediction deteriorates

Engineering Contradiction:

Improvecatalog structureVSAvoidproductivity prediction accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The equipment catalog is segmented into multiple hierarchical levels: equipment properties, operation behaviors, and AI model data. This segmentation allows the catalog to maintain organizational simplicity while incorporating detailed operational information and AI models necessary for accurate productivity prediction.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The catalog structure is transformed into a composite information system that integrates traditional equipment property data with AI model data and operation behavior information. This composite approach enables both simple access to basic properties and accurate prediction through integrated AI models.

Inventive Principle:

Principle #40Composite materials

2Measurement precision

If equipment behavior catalog includes AI model data, then the prediction accuracy of productivity improves, but the device complexity increases

Engineering Contradiction:

Improveproductivity prediction accuracyVSAvoidcatalog structure

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The catalog structure implements a nested organization where AI model data is embedded within equipment behavior information, which in turn is nested within the overall equipment catalog framework. This nested structure allows complex AI functionality to be integrated while maintaining a manageable hierarchical organization.

Inventive Principle:

Principle #7Nested doll (Nesting)

Solution Approach 2:

The equipment behavior catalog is designed as a universal platform that serves multiple functions: storing equipment properties, tracking operation behaviors, and hosting AI models for prediction. This multi-functionality reduces the need for separate systems while improving prediction accuracy.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Device complexity

If simulation model uses only equipment property data, then the model simplicity is maintained, but the accuracy of virtual production system deteriorates

Engineering Contradiction:

Improvesimulation modelVSAvoidvirtual production system accuracy

Core Design Contradiction:

Device complexityVSReliability

Solution Approach 1:

The equipment behavior catalog serves as an intermediary layer between raw equipment data and the simulation model. It processes and structures equipment properties, operation behaviors, and AI model data into a format suitable for simulation, thereby improving virtual production system accuracy without directly complicating the simulation model structure.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Productivity

If equipment catalog includes operation behavior and AI model data, then the productivity prediction accuracy improves, but the data management complexity increases

Engineering Contradiction:

Improveproductivity prediction accuracyVSAvoiddata management

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The catalog structure is designed to be dynamic, allowing flexible addition and configuration of different types of data (equipment properties, operation behaviors, AI models) based on specific needs. This dynamic structure enables accurate productivity prediction through comprehensive data while maintaining manageable data organization through adaptive configuration.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20240152130A1Apparatus for configuring equipment behavior catalog and virtual production system using equipment behavior catalog

Publication Date: 2024.05.09 ELECTRONICS & TELECOMM RES INST

AI summary

Disclosed are an apparatus for configuring an equipment behavior catalog (EBC) and a virtual production system using an EBC. The apparatus for configuring the EBC according to an aspect of the present invention includes an artificial intelligence model storage configured to store an artificial intelligence model, and an EBC storage configured to store an EBC including artificial intelligence model data for the artificial intelligence model stored in the artificial intelligence model storage.