AGV Cargo Pocket Assignment for Multi-Chute Sorting
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Solution Overview
Problem
Current cargo sorting systems in logistics centers face inefficiencies in automating the sorting of multiple pieces of cargo using automated guided vehicles (AGVs), particularly in efficiently assigning carrier pockets and destination chutes to maximize operation efficiency and minimize movement flow lines.
Innovation Solution
A method involving an automated guided vehicle that recognizes cargo identifier information, assigns optimal locations for carrier pockets and destination chutes, and loads cargo efficiently, allowing for sequential discharge and reassignment to optimize the sorting process, even considering the operation efficiency of multiple AGVs and the size of cargo relative to carrier pockets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated guided vehicles are used to transport multiple pieces of cargo simultaneously, then cargo processing speed is improved, but the complexity of assigning carrier pockets and destination chutes increases
Solution Approach 1:
The system performs preliminary identification of cargo and preliminary assignment of carrier pockets and destination chutes before the AGV begins transporting cargo. This allows the complex assignment logic to be resolved in advance, enabling the AGV to simply execute pre-determined routing instructions during transport, thus maintaining high productivity without overwhelming real-time computational complexity
Solution Approach 2:
The control server acts as an intermediary between cargo identification and AGV execution. It receives cargo information, performs the complex assignment calculations, and translates them into simple routing instructions for the AGV. This intermediary handles the computational complexity centrally, allowing the AGV itself to remain relatively simple while achieving high processing speeds
2Productivity
If optimal assignment of carrier pockets and destination chutes is performed to maximize operation efficiency, then sorting efficiency is improved, but the computational requirements and system complexity increase
Solution Approach 1:
Optimal assignment is performed in advance before cargo transport begins. The control server calculates the most efficient matching of carrier pockets to destination chutes based on cargo characteristics, AGV capacity, and facility layout. This preliminary optimization eliminates the need for complex real-time decision-making during transport, achieving high sorting efficiency with manageable system complexity
Solution Approach 2:
The system incorporates feedback mechanisms where assignment decisions are continuously refined based on operational data. The control server monitors cargo flow patterns, AGV performance, and destination chute utilization to improve assignment algorithms over time, achieving increasingly efficient sorting without proportionally increasing system complexity
3Productivity
If multiple automated guided vehicles are coordinated to sort cargo simultaneously, then overall cargo processing capacity is improved, but coordination complexity and communication requirements increase
Solution Approach 1:
The control server provides a universal coordination platform that manages multiple AGVs through a single centralized system. This multi-functional controller handles identification, assignment, routing, and monitoring for all AGVs simultaneously, achieving high processing capacity without requiring complex peer-to-peer communication between vehicles. The universal controller simplifies coordination by providing a single point of control for the entire fleet
Data Source
AI summary
A method of sorting cargo using an automated guided vehicle is provided. The method of sorting cargo includes: recognizing the pieces of cargo; assigning a location of a carrier pocket into which the recognized cargo is loaded among the plurality of carrier pockets in the automated guided vehicle and a location of the destination chute from which the carrier pocket discharges the cargo; loading the cargo into the location of the assigned carrier pocket; for consecutively supplied pieces of cargo thereafter, repeatedly performing identifier information recognition of the cargo, location assignment, and cargo loading sequentially; sequentially discharging the pieces of cargo to the locations of the assigned destination chutes by allowing the automated guided vehicle into which all pieces of cargo are loaded to start and move along a movement path; and returning the automated guided vehicle after the automated guided vehicle has finished discharging.