Electronic Shelf Label Positioning via Neighbor Distance Measurement
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Solution Overview
Problem
Existing positioning methods for electronic shelf labels, such as AOA technology, face challenges of high positioning costs and low accuracy due to the complexity of installation and high density of labels on shelves.
Innovation Solution
A positioning method that calculates the positioning result for each unknown electronic shelf label using coordinate information from known labels, creates candidate-matching pairs, and revises fuzzy positioning results based on distance measurements between candidate and matching labels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If AOA positioning technology is deployed to cover all electronic shelf labels, then positioning coverage is improved, but device complexity and cost increase due to requiring a large number of base stations
Solution Approach 1:
The patent introduces neighboring shelf labels as intermediary nodes to assist positioning. Instead of relying solely on base stations, the system uses the spatial relationships and known positions of neighboring shelf labels as mediators to determine the position of target shelf labels, thereby reducing the dependency on a large number of base stations while maintaining coverage
Solution Approach 2:
The patent creates a virtual positioning network by copying the positioning function from physical base stations to logical neighbor relationships. The neighbor weight table and matching mechanisms replicate the positioning capability using existing shelf label information, effectively substituting the need for additional physical infrastructure
2Area of stationary object
If AOA positioning technology is used for high-density shelf labels, then positioning coverage is improved, but measurement precision deteriorates due to high positioning errors
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously refines positioning results by comparing measured distances with stored neighbor weight information. The matching process uses feedback from multiple neighboring shelf labels to correct and improve the initial positioning estimates, thereby enhancing precision for high-density label configurations
Solution Approach 2:
The patent segments the positioning problem into multiple sub-problems by dividing the shelf label network into local neighbor groups. Each shelf label uses only its immediate neighbors for positioning calculations, which simplifies the measurement and reduces errors compared to global positioning methods, thereby improving overall precision
3Ease of operation
If traditional positioning methods are used, then implementation simplicity is maintained, but positioning accuracy deteriorates
Solution Approach 1:
The patent performs preliminary actions by pre-establishing neighbor weight tables and storing spatial relationship data before actual positioning occurs. This preparation allows the system to maintain implementation simplicity while achieving high accuracy, as the complex calculations are pre-organized and can be quickly queried during positioning operations
Data Source
AI summary
A positioning method for an electrical shelf label, a computer device, and a non-transitory computer readable storage medium. The method includes: obtaining, by a server, a candidate electronic shelf label with a fuzzy positioning result; sequentially executing, by each of the candidate-matching shelf label pairs, a distance measurement task according to the distance measurement instruction to obtain a measured distance between the candidate electronic shelf label and each of the matching electronic shelf labels; revising, by the server, the fuzzy positioning result of the candidate electronic shelf label based on all the measured distances to determine an actual positioning result for the candidate electronic shelf label.