RFID Component Detection for Mobile Work Machine Wear Control

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Solution Overview

Problem

Current mobile work machines rely on manual entry of component information, leading to potential errors in operation, especially with interchangeable parts like rollers in agricultural equipment, which can result in poor performance and damage due to incorrect or worn-out components.

Innovation Solution

A wireless communication system that identifies machine components using RFID tags, generating control signals based on component performance data to ensure accurate operation and timely replacement of worn parts.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual entry of component information is used, then the system is simple to operate, but errors occur in identifying interchangeable parts leading to poor performance and damage

Engineering Contradiction:
Improvecomponent identification accuracyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical entry of component information with an automated wireless communication system. RFID tags attached to components wirelessly transmit identification data to the control system, eliminating manual entry errors while maintaining system simplicity through automated processes.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The component identification system performs self-service by automatically detecting and identifying components through wireless communication. The RFID tags and control system autonomously exchange data without requiring operator intervention, improving reliability while keeping the interface simple.

Inventive Principle:
Principle #25Self-service

2Reliability

If manual tracking of component service life is used, then the system is easy to operate, but components are not replaced timely leading to wear and damage

Engineering Contradiction:
Improvetimely component replacementVSAvoidautomation level
Core Design Contradiction:
ReliabilityVSExtent of automation

Solution Approach 1:

The control system continuously receives operational data from RFID tags and automatically tracks component usage against predefined service life thresholds. When components approach their service life limits, the system provides feedback alerts to operators, ensuring timely replacement while automating the monitoring process.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary tracking of component service life before actual failure occurs. By monitoring usage data in real-time and comparing it against predetermined service life parameters, the system proactively identifies components needing replacement before wear causes damage.

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If wireless communication system with RFID tags is implemented, then component identification accuracy improves, but device complexity increases

Engineering Contradiction:
Improvecomponent identification precisionVSAvoidsystem structure complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts the identification function from manual processes and embeds it directly into components through RFID tags. This separation allows the tagging system to be simple while the control system handles the complex data processing, achieving high precision without overwhelming system complexity.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The RFID tags serve multiple functions: identification, service life tracking, and operational monitoring. This multi-functionality consolidates what would otherwise require separate systems into a single integrated solution, improving precision while managing complexity through consolidation.

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

4Productivity

If automatic control based on component data is implemented, then machine performance improves, but control system complexity increases

Engineering Contradiction:
Improvemachine operation efficiencyVSAvoidcontrol system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The control system automatically adjusts machine operations based on component data received from RFID tags without requiring complex manual intervention. The system self-regulates by comparing component status against operational parameters and making adjustments autonomously, improving productivity while keeping the control interface simple.

Inventive Principle:
Principle #25Self-service

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This system ensures precise control and maintenance of mobile work machines by accurately identifying components, preventing errors and extending the lifespan of equipment by automating the tracking of wear and replacement needs.

Implementation Method 1

a wireless communication system configured to receive a wireless communication signal from a transmitter corresponding to a machine component

Methodology Applied
Scientific EffectRFID (Radio Frequency Identification): Electromagnetic Induction

Data Source

PatentUS11579590B2Wireless mobile work machine component detection and control system
Publication Date: 2023.02.14 DEERE & CO
  • US11579590B2 patent drawing
  • US11579590B2 patent drawing
  • US11579590B2 patent drawing

AI summary

A mobile work machine includes a wireless communication system configured to receive a wireless communication signal from a transmitter corresponding to a machine component on the mobile work machine, machine component identification logic configured to obtain a machine component identifier, that uniquely identifies the machine component, based on the wireless communication signal, operation detection logic configured to detect a machine operation associated with the machine component and to generate component performance data correlated to the machine component based on the machine operation, and control signal generator logic configured to generate a control signal that controls the mobile work machine based on the component performance data.