BLE Beacon Tracking via Mobile Reader Badges for Low-Infrastructure RTLS
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Solution Overview
Problem
Existing real-time location systems (RTLS) in healthcare environments are expensive, require extensive infrastructure, suffer from accuracy issues, and are susceptible to interference, making them impractical for efficient asset tracking and proximity detection.
Innovation Solution
A system utilizing low-power Bluetooth Low Energy (BLE) beacon tags and mobile reader badges for asset tracking, which transmit beacon messages to an RTLS server via existing hospital communication infrastructure, enabling precise location tracking and proximity detection with minimal infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RFID or IR reader infrastructures are installed to track locations, then location tracking capability is achieved, but infrastructure complexity and cost increase significantly
Solution Approach 1:
The patent introduces mobile computing devices (smartphones, tablets, wearables) as intermediary components that leverage existing wireless communication infrastructure instead of requiring dedicated RFID readers or IR sensors throughout the facility. These mobile devices act as mediators between the tracking system and the environment, using standard wireless protocols to detect and report location data.
Solution Approach 2:
The system utilizes multi-functional mobile computing devices that already possess wireless communication capabilities, cameras, and sensors for multiple purposes. These devices serve both as communication tools for healthcare workers and as location tracking sensors, eliminating the need for separate dedicated tracking infrastructure.
2Reliability
If RFID sensors are deployed for asset tracking, then location monitoring is enabled, but measurement precision deteriorates with approximately plus-or-minus ten feet tolerance
Solution Approach 1:
The patent replaces traditional RFID electromagnetic field-based location detection with wireless signal strength measurement and triangulation methods using mobile devices. This substitution enables more precise location determination by utilizing multiple data points from different mobile devices and signal characteristics such as signal-to-noise ratio and time of flight.
Solution Approach 2:
The system transitions from two-dimensional RFID zone detection to three-dimensional spatial localization by incorporating vertical positioning, signal strength gradients, and temporal data from multiple mobile devices to calculate precise location coordinates.
3Ease of operation
If RFID and IR-based sensors are used for location detection, then proximity detection is possible, but reliability decreases due to susceptibility to drift from environmental interference and cross talk
Solution Approach 1:
The system implements continuous feedback loops where mobile devices constantly monitor signal characteristics, compare expected versus actual signal patterns, and adjust location calculations in real-time. The server receives ongoing data streams from multiple mobile devices, validates consistency, and corrects drift through cross-referencing with known location data and signal propagation models.
Solution Approach 2:
The patent incorporates redundancy by requiring multiple mobile devices to confirm location data before establishing a definitive position. The system预先 cushions against interference by using consensus algorithms that filter out anomalous readings from environmental noise or cross-talk between adjacent areas.
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
Facilitates improved patient workflow and resource management by accurately tracking assets and interactions, reducing costs and infrastructure requirements while maintaining high accuracy and reliability.
Implementation Method 1
one or more beacon tags affixed to assets within an environment and that transmit (e.g., periodically, aperiodically and/or as a one-time event) beacon messages
Data Source
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AI summary
A cloud based processing system receives location information and health status information of a plurality of beacon devices. The location information indicates real-time locations of the plurality of beacon devices, and the health status information indicates real-time conditions of the plurality of beacon devices. The processing system tracks movements of at least some of the plurality of beacon devices based on the location information and identifies problematic beacon devices based on the health status information.