AI Baggage Packing Device with Automated Selectors

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Solution Overview

Problem

The existing manual baggage and cargo transfer processes in urban terminals are inefficient, struggling to meet increasing throughput demands and often result in disordered stacking due to varying shapes and sizes of baggage, requiring experienced personnel and leading to gaps and mismatched stacking.

Innovation Solution

An automatic baggage-packing device based on artificial intelligence, featuring a baggage transfer rack with selectors, an automatic loading device, and a conveying system that regularizes and loads baggage of different sizes and types without human intervention, using arc guide plates, limit plates, connecting rods, and driving cylinders to ensure efficient and precise transfer.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual handling and stacking is used, then experienced personnel can handle baggage, but processing efficiency is low and cannot meet increasing throughput demands

Engineering Contradiction:
Improveprocessing efficiencyVSAvoidmanual operation
Core Design Contradiction:
ProductivityVSExtent of automation

Solution Approach 1:

The system enables self-service through automated identification and routing. Baggage automatically presents itself to the correct loading position via the conveyor system, with selectors autonomously directing items based on their identified destinations, eliminating the need for manual sorting by personnel

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical sorting with an automated system combining optical/electronic identification (cameras, sensors) with mechanical conveyance. The identification system detects baggage characteristics and destinations, while automated selectors and conveyors physically route baggage, substituting human mechanical sorting with an integrated sensing-actuating system

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

2Productivity

If manual stacking is used, then personnel can handle baggage, but packing rate cannot be maximized due to gaps and mismatched stacking

Engineering Contradiction:
Improvepacking rateVSAvoidstacking precision
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The system performs preliminary sorting and routing actions before final loading. Baggage is identified, categorized by destination, and directed to appropriate loading positions in advance, ensuring optimal packing arrangements are prepared beforehand rather than attempting complex manual stacking adjustments during loading

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The loading process is segmented into distinct automated stages: identification of baggage characteristics, determination of destination and stacking position, selection by automated selectors, and conveyance to loading points. This segmentation allows each function to be optimized independently, achieving both high packing rates and precise stacking arrangements

Inventive Principle:
Principle #1Segmentation

3Productivity

If automated selection and loading is implemented, then processing efficiency is improved, but device complexity increases

Engineering Contradiction:
Improveprocessing efficiencyVSAvoidsystem structure
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system employs universal components that perform multiple functions. The conveyor system serves both as a transport mechanism and a sorting medium. Selectors function both as routing devices and as part of the loading mechanism. The identification system integrates optical, sensor, and computational functions into a unified baggage characterization process, reducing overall system complexity through functional integration

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

Solution Approach 2:

The patent introduces an intelligent control system as an intermediary that bridges the physical baggage handling components and the decision-making logic. This central controller receives data from identification sensors, determines optimal routing and stacking arrangements, and coordinates the selectors and conveyors, thereby managing system complexity through centralized intelligence rather than distributed complex mechanisms

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20240042489A1Automatic baggage-packing device for urban terminals based on artificial intelligence
Publication Date: 2024.02.08 BEIJING URBAN CONSTRUCTION DESIGN & DEVELOPMENT GROUP CO LIMITED
  • US20240042489A1 patent drawing
  • US20240042489A1 patent drawing
  • US20240042489A1 patent drawing

AI summary

An automatic baggage-packing device for urban terminals based on artificial intelligence is provided. The automatic baggage-packing device includes a baggage transfer rack, baggage transfer rack forms a baggage transfer channel through a transfer stick, baggage transfer rack is equipped with several selectors located above the baggage transfer channel, the selectors are arranged in turn in the extension direction of the baggage transfer channel. The automatic baggage-packing device also includes an automatic loading device set outside of the baggage transfer rack to cooperate with the selectors to load the selected baggage. The invention has the effect of making baggage freight more convenient and quicker in use.