UWB Positioning Layout for Crowded Zone Capacity Detection
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Solution Overview
Problem
Existing positioning systems face challenges in maintaining high energy efficiency, accuracy, and capacity, particularly in areas with crowded zones, where the maximum number of trackable transmitters per unit time and area is limited, and receiver/base station arrangement is suboptimal.
Innovation Solution
A positioning system with a central unit and at least three base stations that automatically identifies capacity hotspots and adjusts base station placement by adding or removing stations based on trace interruptions and zone thresholds, using ultra-wide band radio messages for efficient tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of base stations is increased to improve tracking capacity in crowded zones, then the system can track more transmitters simultaneously, but the hardware cost and system complexity increase
Solution Approach 1:
The system performs preliminary analysis of trace interruption patterns to identify crowded zones before deploying additional base stations. The central unit analyzes historical positioning data to detect zones where traces are frequently interrupted, then proactively determines optimal locations for new base stations to prevent future capacity issues rather than reacting after problems occur
Solution Approach 2:
The system continuously monitors positioning data and trace interruption patterns, feeding this information back to the central unit which automatically determines whether capacity issues exist and where additional base stations should be deployed. This closed-loop feedback mechanism enables dynamic optimization of base station placement based on actual system performance and crowd distribution patterns
2Measurement precision
If base stations are densely distributed to improve positioning accuracy in crowded areas, then positioning precision increases, but energy consumption and hardware costs increase
Solution Approach 1:
The system applies different base station densities to different spatial zones based on local requirements. Instead of uniform distribution, base stations are concentrated in identified crowded zones where trace interruptions occur, while sparsely populated areas use fewer stations. This local optimization ensures high positioning accuracy where needed while minimizing energy consumption in low-traffic areas
Solution Approach 2:
The system dynamically adjusts the deployment parameters of base stations based on analyzed crowd movement patterns. By changing the spatial distribution parameters of base stations according to actual usage patterns and trace interruption data, the system optimizes the balance between positioning accuracy and energy consumption for each specific zone
3Reliability
If the measurement period is extended to improve trace accuracy, then positioning reliability increases, but the time required to identify capacity issues and respond increases
Solution Approach 1:
The system uses a predefined threshold number of trace interruptions rather than requiring complete analysis of all traces over extended periods. By setting appropriate thresholds for trace interruptions that indicate capacity issues, the system achieves sufficient reliability to identify crowded zones without needing to collect excessive data over long time periods, thus reducing response time while maintaining adequate detection accuracy
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively identifies and addresses capacity deficiencies or redundancies, optimizing tracking capacity in crowded areas and reducing hardware costs while maintaining high accuracy and energy efficiency.
Implementation Method 1
The label is provided with a transmitter for transmitting an ultrawide band signal
Data Source
AI summary
A positioning system has a central unit receiving identity and timing information; and based thereon determines a respective position in an area of each of a set of entities. Each entity carries a mobile unit repeatedly transmitting a radio message including the identity information. The positioning system also contains at least three base stations, each receiving the radio messages from the mobile units; and based thereon, forwards the identity and timing information to the central unit. During a measurement period, the central unit registers positions of the entities as a trace for each mobile unit. The central unit checks whether, during the measurement period a first predefined number of traces are interrupted during a first threshold interval, and the predefined number of traces are interrupted in a first zone, which exceeds a first threshold size. If so, a capacity alarm with respect to the first zone is generated.