Tray Space Planning for Non-Integer Filling Ratios
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Solution Overview
Problem
Current palletizing methods are inefficient when the size of a tray does not match the size of a filling material by a non-integer multiple, leading to unreasonable tray space planning and low space utilization.
Innovation Solution
A tray space planning method involving iterative segmentations based on various shaped segmentation lines, where the optimal plan is determined by maximizing the number of segmentation results, allowing for compact placement and rotation of filling surfaces to match the tray size, and a palletizing method that determines an approaching path to avoid collisions and optimize space utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual arrangement and simple planning methods are used for palletizing, then the operation process is simple, but the tray space utilization is low when the tray size does not match the filling material size by a non-integer multiple
Solution Approach 1:
The patent divides the tray space planning problem into multiple segmentation cycles, where each cycle segments the tray space into multiple regions using different shaped segmentation lines. This segmentation approach allows the system to explore different arrangement possibilities and optimize space utilization for non-integer multiple matching scenarios between tray and filling material sizes.
Solution Approach 2:
The patent implements a dynamic iterative segmentation process that performs multiple cycles of segmentation with different segmentation line sequences and positions. The system dynamically adjusts the segmentation strategy across cycles to find the optimal arrangement, transforming the static simple planning method into a dynamic optimization process that adapts to non-integer multiple size relationships.
2Quantity of substance
If iterative segmentation with multiple cycles is performed to optimize tray space utilization, then the space utilization increases, but the computational complexity and processing time increase
Solution Approach 1:
The patent performs preliminary actions by pre-defining multiple segmentation line sequences and shapes before the actual segmentation process. This preparation allows the iterative segmentation to proceed systematically through predefined patterns, reducing the complexity of real-time decision-making while still achieving optimal space utilization through multiple cycles.
Solution Approach 2:
The system implements feedback mechanisms by evaluating the number of segmentation results from each cycle and using this information to guide subsequent segmentation cycles. The feedback from previous segmentation outcomes helps optimize the segmentation strategy in later cycles, improving space utilization while managing computational complexity through learned patterns.
3Quantity of substance
If the segmentation lines are optimized to match the filling material edges with turning angles, then the space utilization improves, but the precision requirements for segmentation increase
Solution Approach 1:
The patent applies local quality by making segmentation lines adapt to local geometric features of the filling material edges. Different segmentation lines with various shapes and turning angles are used in different regions of the tray space, allowing high precision matching where needed while maintaining overall system flexibility and space utilization.
Data Source
AI summary
Provided are a tray space planning method and a palletizing method thereof. The space planning method of the present disclosure can increase a utilization rate of the tray space when a size of a filling material for filing the tray matches a size of the tray by a non-integer multiple. The palletizing method based on the related space planning method, in addition to improving a utilization rate of the tray, can avoid a collision between the current filling material and other filling materials, while ensuring that the filling material approaches in a shortest path based on palletizing at a highest space utilization rate.