Smart Palette Coordination for Autonomous Trailer Loading

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Solution Overview

Problem

Conventional palettes require manual positioning and lack autonomy, making them inefficient in dynamic environments and unable to respond to changes or obstacles.

Innovation Solution

Smart palettes equipped with processors, sensors, and drive mechanisms that enable autonomous movement and coordination with other palettes to optimize cargo loading, unloading, and positioning within trailers, using sensor data to adjust for changes in load distribution and environment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual positioning is used for palettes, then device complexity is reduced, but productivity decreases due to inefficiency in dynamic environments

Engineering Contradiction:
Improvecargo transportation efficiencyVSAvoidpalette system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The palette system performs self-positioning and self-coordination functions through onboard processors and sensors, eliminating the need for external manual control systems. Each palette autonomously determines its own positioning and coordination requirements, reducing overall system complexity while maintaining high productivity

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system transitions from static manual positioning to dynamic autonomous positioning, where palettes can automatically adjust their positions and coordinates in real-time based on environmental conditions and coordination requirements, improving productivity without proportionally increasing complexity

Inventive Principle:
Principle #15Dynamics

2Speed

If autonomous movement capability is added to palettes, then speed and responsiveness improve, but device complexity increases due to additional sensors and processors

Engineering Contradiction:
Improvepalette movement speedVSAvoidsmart palette complexity
Core Design Contradiction:
SpeedVSDevice complexity

Solution Approach 1:

The autonomous functionality is segmented into modular components (processors, sensors, drive mechanisms) that can be independently managed and coordinated. This segmentation allows the system to achieve high speed and responsiveness while keeping individual component complexity manageable

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The smart palette components serve multiple functions: processors handle both navigation and coordination tasks, sensors detect both position and environmental conditions. This multi-functionality reduces the need for separate dedicated components, improving speed without proportionally increasing complexity

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

3Productivity

If coordination between multiple smart palettes is implemented, then space utilization and load distribution are optimized, but communication and control complexity increases

Engineering Contradiction:
Improvecargo loading efficiencyVSAvoidcoordination system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

Multiple palettes are merged into a coordinated system where they share common communication protocols and control mechanisms. This allows efficient cargo loading and space utilization while managing communication complexity through standardized interfaces

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The coordination system implements feedback loops where palettes continuously exchange position and status information, allowing real-time optimization of load distribution and space utilization. This feedback mechanism improves productivity while keeping control complexity manageable through iterative adjustment

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11292678B2Palette system for cargo transport
Publication Date: 2022.04.05 AURORA OPERATIONS INC
  • US11292678B2 patent drawing
  • US11292678B2 patent drawing
  • US11292678B2 patent drawing

AI summary

In one example embodiment, a computer-implemented method for transporting cargo using smart palettes includes determining receipt of a first cargo onto a platform of a first smart palette at a first distribution hub. The method includes generating one or more signals that control a loading of the first smart palette and the first cargo onto a trailer located at the first distribution hub. The method includes determining a coordination with one or more second smart palettes associated with the trailer to determine a first position inside the trailer for the first smart palette and the first cargo. The method includes generating one or more signals that position the first smart palette and the first cargo at the first position inside the trailer.