Simulation Entity State Transitions Across Smart and Discrete Engines

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Solution Overview

Problem

Current simulation software is unable to simulate entities that transition between smart and discrete entity statuses, leading to inaccuracies and limitations in modeling complex environments.

Innovation Solution

A facility utilizing multiple simulation engines to manage both smart and discrete entities, allowing entities to transition between these states based on predefined constraints, synchronized through a shared data resource and synchronized engine communication.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If simulation software uses fixed entity types (either smart or discrete), then the software structure is simple and easy to implement, but the simulation accuracy and versatility are reduced when entities need to transition between states

Engineering Contradiction:
Improveentity state transition capabilityVSAvoidsimulation engine structure
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The simulation system is divided into separate discrete entity simulation engine and smart entity simulation engine, each handling specific entity types. This segmentation allows the system to maintain simplicity in individual engine designs while achieving versatility through the ability to transition entities between engine types, resolving the contradiction between adaptability and complexity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements dynamic entity type transition where entities can change from discrete to smart or vice versa during simulation based on predefined constraints. This dynamic capability allows the system to adapt entity behavior in real-time, improving versatility without requiring a completely complex restructured system, as transitions follow defined rules and constraints.

Inventive Principle:
Principle #15Dynamics

2Reliability

If simulation software forces entities to act as fixed types (smart or discrete), then the implementation is straightforward, but simulation inaccuracies occur when entities need different behavior modes

Engineering Contradiction:
Improvesimulation accuracyVSAvoidentity management complexity
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system pre-defines transition constraints and conditions for entity type changes before simulation begins. By establishing these rules in advance, the system ensures simulation accuracy through proper entity behavior while maintaining ease of operation, as users only need to configure constraints once rather than manage complex real-time decisions during simulation.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The simulation system continuously monitors entity states and automatically triggers transitions when predefined constraints are met. This feedback mechanism ensures simulation accuracy by maintaining appropriate entity behavior modes while simplifying operation, as the system autonomously manages transitions based on observed conditions rather than requiring manual intervention.

Inventive Principle:
Principle #23Feedback

3Reliability

If multiple simulation engines are used to manage both smart and discrete entities with transition capability, then simulation accuracy improves, but resource requirements and system complexity increase

Engineering Contradiction:
Improvesimulation accuracyVSAvoidcomputational resources
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

Both discrete and smart entity simulation engines are designed to handle entity transitions, making them multi-functional. This universality allows the system to maintain simulation accuracy through specialized engine handling while optimizing resource usage, as entities can be managed by whichever engine is currently appropriate rather than requiring separate dedicated systems for each entity type.

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

Data Source

PatentUS12579338B2Transitioning simulation entities between smart entity status and discrete entity status
Publication Date: 2026.03.17 CREATEASOFT
  • US12579338B2 patent drawing
  • US12579338B2 patent drawing
  • US12579338B2 patent drawing

AI summary

A facility for transitioning simulated entities between smart entity status and discrete entity status is described. The facility obtains an indication of a simulation model representing a complex and identifies transitioning constraints and entities in the simulation model. Each of the entities has an initial entity status which identifies the entity as a discrete entity or a smart entity. The facility implements the simulation model to simulate the movement of the identified entities and determines whether the status of a distinguished entity should change based on the transitioning constraints. In response to the determining, the facility changes the status of the distinguished entity.