Carrier-Item Association Detection Using Spatial Attributes

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Solution Overview

Problem

Detecting correlated motion between items and vehicles in facilities is time-consuming, leading to vehicles being idle or traveling to incorrect locations due to the delay in providing directional guidance.

Innovation Solution

A system that uses location data from RFID tags to generate attributes defining the spatial relationship between items and carriers, which are then classified to rapidly detect association states, enabling timely and accurate directional guidance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If correlated motion detection is used to identify item-carrier associations, then measurement accuracy is improved, but loss of time increases

Engineering Contradiction:
Improveassociation detection accuracyVSAvoiddetection time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system pre-calculates and stores spatial relationship attributes (distance, velocity, acceleration) between items and carriers before association detection is needed. When detection is required, these pre-computed attributes are immediately available for the classifier to determine association states, eliminating the time-consuming correlated motion analysis while maintaining accuracy.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If real-time directional guidance is provided to carriers, then productivity is improved, but device complexity increases

Engineering Contradiction:
Improvecarrier operational efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system introduces a classifier as an intermediary component that processes spatial relationship attributes and outputs association states. This classifier acts as a mediator between the complex spatial data collection system and the simple directional guidance output, enabling real-time decisions without requiring complex real-time correlated motion analysis throughout the entire system.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20220057215A1Rapid location-based association of carriers and items
Publication Date: 2022.02.24 ZEBRA TECHNOLOGIES CORP
  • US20220057215A1 patent drawing
  • US20220057215A1 patent drawing
  • US20220057215A1 patent drawing

AI summary

A method includes: obtaining, at a computing device, respective location data corresponding to a carrier and each of a set of items; for each item in the set of items: storing a previous association state between the item and the carrier; generating a set of attributes defining a spatial relationship between the item and the carrier; providing the set of attributes to a classifier to detect a current association state between the carrier and the item; and responsive to determining that the current association state between the carrier and the item is different from the previous association state, transmitting a status update message to a dispatcher configured to provide directional guidance to the carrier.