Augmented Reality Navigation for Warehouse Storage Retrieval
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Solution Overview
Problem
In large-scale warehouses, the efficiency and accuracy of order item picking are hindered by the need for order item pickers to study and memorize the geographic location information of storage locations and racks, leading to increased effort and reduced operational efficiency.
Innovation Solution
A method utilizing a three-dimensional spatial model of the storage space, acquired and rendered through an augmented reality device, to determine target storage locations and provide navigation information, allowing pickers to locate items directly without prior knowledge of the layout.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If order item pickers study and memorize geographic location information of storage locations and racks in advance, then order item picking accuracy is improved, but the effort and time required for preparation increases
Solution Approach 1:
The system performs preliminary action by pre-generating a three-dimensional spatial model of the warehouse storage space that includes all storage locations and rack positions. This model is prepared in advance and stored in the system, allowing pickers to access location information on-demand without memorization, thus resolving the contradiction between accuracy and preparation time
Solution Approach 2:
The system creates a virtual copy of the physical warehouse through the three-dimensional spatial model. This digital replica contains all spatial information about storage locations and racks, enabling pickers to query and navigate the warehouse layout without physically studying it, thereby improving accuracy while eliminating the need for time-consuming memorization
2Quantity of substance
If the warehouse is divided into many storage locations and racks to accommodate diverse goods, then storage capacity is improved, but navigation difficulty and picking time increase
Solution Approach 1:
The system transitions from two-dimensional warehouse layouts to a three-dimensional spatial model that fully represents the warehouse volume. This dimensional enhancement allows the system to efficiently organize and navigate through numerous storage locations and racks by utilizing depth, height, and width coordinates, thereby maintaining high storage capacity while improving navigation efficiency through spatial queries and route optimization
3Measurement precision
If detailed geographic location information of all storage locations is provided to pickers, then picking accuracy is improved, but the complexity of the information system increases
Solution Approach 1:
The three-dimensional spatial model serves as an intermediary between the complex warehouse infrastructure and the picker. Instead of directly managing detailed geographic information, the system uses this spatial model to translate complex spatial relationships into simple navigation instructions and location queries, maintaining high picking accuracy while reducing information system complexity through abstraction
Data Source
AI summary
Methods and devices for providing information of a stored object are disclosed. An example method may comprise: acquiring a three-dimensional spatial model of a storage space, the three-dimensional spatial model comprising storage location information corresponding to at least one object stored inside the storage space; determining a target object stored inside the storage space, and determining a target storage location of the target stored object based on the three-dimensional spatial model; obtaining a navigation route based on location information of an augmented reality (AR) device and the target storage location; and rendering corresponding navigation information over the storage space as viewed from the AR device.