Moving Tag Location Tracking with Signal Filtering
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Solution Overview
Problem
Conventional access management systems using BLE beacons struggle to efficiently process location information from multiple moving tags, leading to data overload and increased power consumption, as they require processing and transmitting all signal data from moving equipment.
Innovation Solution
A system where moving tags collect and filter BLE scanner signals, broadcasting only extracted location information to beacon scanners, which then transmit this information to a service server, utilizing an active mode with shorter broadcasting intervals and a Kalman filter for efficient signal processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all signal data from moving tags is processed and transmitted by beacon scanners, then complete location information is obtained, but data processing overload and power consumption increase significantly
Solution Approach 1:
The moving tag performs self-service by independently processing its own location data. It calculates its position based on received beacon signals and transmits only the processed location information to the beacon scanner, eliminating the need for the scanner to process all raw signal data and significantly reducing its power consumption and computational load.
Solution Approach 2:
The essential location information is extracted at the moving tag before transmission. Instead of transmitting all raw signal data, the system extracts only the necessary location coordinates and transmits them to the beacon scanner, reducing data volume and processing requirements at the scanner端.
2Loss of information
If all signal data from multiple moving tags is collected and processed, then comprehensive tracking information is achieved, but data accumulation and processing complexity increase exponentially
Solution Approach 1:
Each moving tag independently performs location calculation and data processing for itself. This distributed self-service approach prevents the beacon scanner from becoming a central processing bottleneck, as each tag handles its own data processing tasks and transmits only final location results.
Solution Approach 2:
The data processing task is segmented and distributed to individual moving tags rather than centralized at the beacon scanner. Each tag processes its own signal data independently, dividing the overall processing complexity into manageable individual tasks that don't accumulate at a single point.
3Measurement precision
If beacon scanners process and transmit all received signal data, then accurate location determination is achieved, but processing time and energy consumption increase
Solution Approach 1:
The moving tag performs preliminary location calculation before transmitting data to the beacon scanner. By pre-processing the signal data and calculating position in advance, the tag reduces the processing time required at the scanner端, allowing the scanner to quickly transmit already-processed location information without performing complex calculations.
Data Source
AI summary
The present invention relates to a system, a method and a computer-readable medium for determining a location of a moving tag based on a radio signal, and more particularly, to a system, a method and a computer-readable medium for determining a location of a moving tag based on a radio signal, in which a moving tag processes data through radio communication between a beacon scanner and the moving tag, and generates and transmits information for determining the location of the moving tag, so that the location of the moving tag can be determined.