Scaled Factory Simulation for PLC Error Training

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Solution Overview

Problem

Current mechatronic training systems fail to provide a scalable and realistic environment for teaching student technicians to diagnose and resolve complex control system errors in automation-driven processes, leading to inefficient and dangerous training in actual factories, with high costs and risks of machinery damage and downtime.

Innovation Solution

A mechatronic factory simulation system that replicates a real factory using scaled model factory station simulators with independent control sub-systems, allowing students to monitor and debug automation-driven processes, introducing artificially manufactured errors for hands-on troubleshooting practice.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If training is conducted in an actual factory environment, then students gain practical hands-on experience, but the risk of machinery damage and production downtime increases

Engineering Contradiction:
Improvepractical training effectivenessVSAvoidmachinery safety
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent creates a scaled model factory that replicates the essential functions and processes of a real factory environment. The simulation system copies the operational workflows, control systems, and production processes at a reduced scale, allowing students to practice troubleshooting and diagnostics on replicated equipment without risking damage to expensive production machinery. This copying approach maintains training realism while eliminating safety risks.

Inventive Principle:
Principle #26Copying

2Ease of operation

If training is conducted in an actual factory environment, then students experience real production conditions, but production downtime and income loss occur

Engineering Contradiction:
Improvetraining realismVSAvoidproduction output
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The patent segments the training function from the production function by creating a separate simulation environment. The scaled model factory isolates training activities in distinct modules that can be operated independently from the main production line. This segmentation allows students to practice error detection and resolution without interrupting actual production processes, thereby maintaining productivity while providing realistic training experiences.

Inventive Principle:
Principle #1Segmentation

3Productivity

If multiple students train simultaneously in a factory, then training efficiency improves, but the complexity of managing multiple workstations increases

Engineering Contradiction:
Improvetraining throughputVSAvoidsystem management complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent designs the scaled model factory with universal control systems and standardized workstations that can serve multiple students simultaneously. The simulation platform provides multi-functional capabilities, allowing different student groups to access identical or varied training scenarios through a common infrastructure. This universality enables scalable training operations without proportionally increasing management complexity, as the system can accommodate additional users through replicated virtual environments rather than requiring separate physical systems for each student.

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

Data Source

PatentUS11056016B2Mechatronic factory simulation system and method of teaching how to resolve errors in an automation-driven process
Publication Date: 2021.07.06 NAPPA JOHN A
  • US11056016B2 patent drawing
  • US11056016B2 patent drawing
  • US11056016B2 patent drawing

AI summary

A mechatronic training and simulation system and method of detecting and resolving complex control system errors in automation-driven process that replicates a scaled factory. The system provides student work stations that allow students to monitor, analyze and repair an automation-driven process. The automation-driven process includes at least one scaled model factory station simulator such as: a robot station, a warehouse station, a furnace processing station, and error checking color sorting station. A problem interjecting device to introduce errors to the automation-driven process through discrete I/O interfacing to interrupt process flow by breaking inputs and breaking outputs. Students at the student work stations, independently or concurrently, analyze and repair interruptions in automation-driven process through use of interface software and electrical measurement instruments. Students learn theoretical and practical hands on technical knowledge for debugging and troubleshooting programmable logic control systems and automation-driven mechanical systems.