AI-Controlled Package Storage System for Delivery Vehicles
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Solution Overview
Problem
The integration of robots into the logistics system, particularly in package storage and delivery, faces practical challenges due to the complexity of applying robotic technologies across the entire logistics process, from warehouses to delivery vehicles.
Innovation Solution
A package storage system utilizing AI apparatus and AI servers with machine learning algorithms, including artificial neural networks, to control and manage package storage and delivery, using sensors, scanners, and manipulators to identify and retrieve packages efficiently within storage units loaded on delivery vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If robots are applied to the entire logistics process from warehouses to delivery vehicles, then automation level is improved, but device complexity and implementation difficulty worsen
Solution Approach 1:
The patent extracts the core automated functions (package storage, identification, and retrieval) from the complex logistics system and implements them as a standalone control device. This separates the essential automation needs from the entire logistics chain, reducing implementation complexity while maintaining high automation in critical operations.
Solution Approach 2:
The system divides the logistics automation into discrete functional modules: storage units with slots, scanning devices for identification, manipulators for package handling, and a control device for coordination. This segmentation allows each component to be optimized independently and simplifies the overall implementation.
2Productivity
If manual package management is used in storage units, then device complexity is reduced, but productivity and delivery efficiency worsen
Solution Approach 1:
The system enables self-service automation where the control device autonomously manages package storage and retrieval operations. The manipulator automatically places packages in designated slots, and the system self-coordinates based on delivery information without requiring manual intervention, thereby increasing productivity while keeping the control logic centralized and manageable.
Solution Approach 2:
The control device serves multiple functions: it manages storage unit operations, processes delivery information, controls manipulator movements, and coordinates with scanning devices. This multi-functionality consolidates what could be multiple separate systems into a single integrated controller, reducing overall system complexity while enhancing productivity.
3Measurement precision
If package identification and slot matching is performed manually, then measurement precision is reduced, but loss of time is minimized
Solution Approach 1:
The patent replaces manual visual identification and matching with an automated optical scanning system. Scanning devices capture package information, and the control device electronically matches it with slot data, achieving high precision identification instantaneously without manual intervention, thus eliminating the trade-off between accuracy and speed.
Solution Approach 2:
The system performs preliminary actions by pre-establishing the correspondence between packages and storage slots through automated scanning and data matching. This preparation is done in advance, so when retrieval is needed, the system can immediately execute the pre-determined actions without time-consuming manual identification, achieving both high precision and speed.
4Productivity
If automated manipulators are used for package storage and retrieval, then productivity is improved, but device complexity and manufacturing cost worsen
Solution Approach 1:
The manipulator is designed with localized specialized functions rather than as a complex universal robot. It focuses specifically on package gripping and movement within the storage unit context, using simple end-effectors and movement mechanisms tailored to the specific task, thereby improving handling efficiency while maintaining manufacturing feasibility.
Data Source
AI summary
A method of controlling a package storage system may include a storage unit that is loaded in a delivery vehicle and stores one or more packages. The method may include: receiving delivery information of the packages from a scanner; storing slot information of slots in which the packages are stored and the delivery information of the packages, in a matched manner; determining, on the basis of the delivery information and driving information of the delivery vehicle, the package to be withdrawn among the packages; and outputting, on the basis of the delivery information and the slot information, a notification command for providing a notification of the slot in which the package to be withdrawn is stored.