Smart Rack Path Planning for Rectangular Prism Throughput
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Solution Overview
Problem
Current solutions for storage and retrieval of rectangular prisms in multi-dimensional spaces face challenges in efficiency and coordination among modular superstructures.
Innovation Solution
The implementation of smart racks with actuators, motors, and switch circuits for precise movement and power distribution, along with algorithms like A* pathfinding to optimize tote relocation and generate tote plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional storage and retrieval solutions are used in multi-dimensional spaces, then system simplicity is maintained, but efficiency and coordination among modular superstructures deteriorate
Solution Approach 1:
The system divides the modular superstructure into discrete rack units with standardized interfaces, allowing independent operation and coordination through defined communication protocols. Each rack can function autonomously while contributing to the overall system efficiency.
Solution Approach 2:
The rack actuators and control systems are designed with universal interfaces and standardized mounting patterns that enable the same hardware to perform multiple functions across different rack positions and configurations, reducing overall system complexity while improving coordination.
2Manufacturing precision
If precise movement control of rectangular prisms is implemented, then movement precision is improved, but control system complexity increases
Solution Approach 1:
The system replaces complex mechanical positioning mechanisms with motorized actuators controlled by software algorithms, achieving precise movement through electronic control rather than mechanical complexity. The A* pathfinding algorithm optimizes movement sequences to reduce control overhead.
Solution Approach 2:
The system pre-calculates optimal movement paths and sequences using A* pathfinding algorithms before execution, allowing the control system to simplify real-time decisions by having movement plans prepared in advance based on current rack states and target positions.
3Productivity
If optimized path planning algorithms are used for tote relocation, then throughput is improved, but computational requirements and system complexity increase
Solution Approach 1:
The A* pathfinding algorithm calculates optimal paths only for the necessary number of racks involved in each tote relocation operation, rather than computing complete system-wide paths. This partial action approach provides sufficient optimization for throughput improvement without the full computational burden of global path planning.
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
Enhances the efficiency and coordination of rectangular prism movement within modular superstructures by enabling precise control and optimized path planning, reducing operational complexity and improving throughput.
Implementation Method 1
a linear motor configured to exert a linear motion
Implementation Method 2
a slider movably disposed on a lead screw
Data Source
AI summary
Methods, apparatuses and computer program products for movement of rectangular prisms in a multi-dimensional space are provided.