Motion-Triggered RFID Tags for Airport Equipment Tracking

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Solution Overview

Problem

Current RFID/BLE solutions for tracking ground support equipment (GSE) in airports face limitations such as short transmission range, high power consumption, and inability to send additional information, leading to difficulties in locating misplaced or lost equipment, especially in remote areas not covered by readers.

Innovation Solution

A system utilizing a transceiver, location and movement estimator, and group classifier that analyzes radio signal data, including RSSI, TOA, DTOA, AOA, and GPS, to compute movement characteristics and classify objects into coordinated groups, employing machine learning to identify locations and detect deviations, with user applications to display object locations and manage groups.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If active RFID or BLE tags are used for tracking dollies, then the transmission range is extended and management is facilitated, but the tags consume power continuously and transmission range remains limited requiring dense reader installation

Engineering Contradiction:
Improvecoverage area of tracking systemVSAvoidpower consumption of tags
Core Design Contradiction:
Area of stationary objectVSUse of energy by moving object

Solution Approach 1:

The patent employs periodic action by implementing motion-triggered activation where RFID/BLE tags only transmit location data when motion is detected. The system transitions from continuous transmission to event-driven periodic transmission, activating tags only during movement events. This resolves the contradiction by maintaining adequate coverage area while dramatically reducing power consumption, as tags remain dormant during stationary periods and only activate periodically when motion occurs.

Inventive Principle:
Principle #19Periodic action

2Area of stationary object

If RFID/BLE readers are densely installed to extend coverage area, then the transmission range is effectively increased, but the system complexity and cost increase

Engineering Contradiction:
Improvecoverage area of tracking systemVSAvoiddensity of reader installation
Core Design Contradiction:
Area of stationary objectVSDevice complexity

Solution Approach 1:

The patent applies mechanics substitution by replacing the mechanical/physical infrastructure of densely installed RFID/BLE readers with a motion-triggered wireless transmission system. Instead of adding more fixed readers to expand coverage, the system uses mobile devices with motion sensors to trigger RFID/BLE transmissions only when needed. This substitutes the physical expansion approach with an intelligent activation approach, maintaining coverage area while reducing system complexity and infrastructure requirements.

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

3Measurement precision

If continuous transmission of location data is implemented, then real-time tracking accuracy is improved, but power consumption increases and battery life decreases

Engineering Contradiction:
Improvereal-time location tracking accuracyVSAvoidbattery life of tags
Core Design Contradiction:
Measurement precisionVSDuration of action of moving object

Solution Approach 1:

The patent implements periodic action through motion-triggered transmission where location data is sent only when movement is detected rather than continuously. This event-driven approach maintains measurement precision for tracking purposes while dramatically extending battery life by eliminating unnecessary transmissions during stationary periods. The system achieves real-time tracking accuracy during active operations while preserving energy through intelligent periodic activation based on motion events.

Inventive Principle:
Principle #19Periodic action

4Device complexity

If standard RFID/BLE tags are used, then the system is simple to implement, but additional information about object status cannot be transmitted

Engineering Contradiction:
Improvesimplicity of tag systemVSAvoidobject status information transmission
Core Design Contradiction:
Device complexityVSLoss of information

Solution Approach 1:

The patent applies universality by transforming standard RFID/BLE tags into multi-functional devices that not only transmit location data but also carry additional object status information. The tags are enhanced to include sensors and capabilities for monitoring temperature, humidity, shock, and other status parameters. This allows the same tag system to serve multiple functions: location tracking, asset identification, and condition monitoring, thereby reducing information loss while maintaining relative simplicity through the use of enhanced but still compact tag devices.

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

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 provides accurate and efficient tracking of GSE, enabling early detection of misplaced equipment, reducing operational inefficiencies, and prolonging battery life by using low-energy devices that activate only during motion, thus improving productivity and reducing costs.

Implementation Method 1

The transceiver receives a plurality of information units from a plurality of objects, each information unit include data related to radio signals

Methodology Applied
Scientific EffectRadio signal propagation: Electromagnetic Propulsion

Data Source

PatentUS12196872B2Tracking moving objects
Publication Date: 2025.01.14 HOOPO SYST LTD
  • US12196872B2 patent drawing
  • US12196872B2 patent drawing
  • US12196872B2 patent drawing

AI summary

A system for analyzing movement of a plurality of objects, including a transceiver, a location and movement estimator, and a group classifier, where the transceiver receives a plurality of information units from the objects, each information unit includes data related to radio signals, the location and movement estimator uses the data to compute movement characteristics for the objects, and the group classifier classifies the objects to coordinated groups according to their movement characteristics.