BLE Proximity Monitoring with Dynamic Intervals and Motion Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing proximity monitoring systems face limitations such as inaccurate range estimation, low reliability, poor battery life, and lack of adaptability to environmental changes, particularly in systems with small, mobile tags and monitors.
Innovation Solution
A monitoring system that uses Bluetooth Low Energy (BLE) technology with dynamic adjustment of connection intervals and a neural-fuzzy inference engine to measure separation distance, incorporating multiple data parameters like RSSI, accelerometer data, and environmental conditions to trigger events accurately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of moving object
If RSSI-based proximity monitoring is used, then the system can operate with small mobile tags, but range estimation accuracy deteriorates
Solution Approach 1:
The patent replaces traditional RSSI-based proximity monitoring with ToF (Time of Flight) measurement technology. This substitution enables accurate distance measurement within 1 meter while maintaining small tag form factor, directly resolving the contradiction between compact tag design and precise range estimation.
Solution Approach 2:
The patent changes the measurement parameter from signal strength (RSSI) to time of flight. This parameter change fundamentally improves measurement precision while allowing the system to maintain small tag size and mobile operation capabilities.
2Reliability
If frequent packet exchange is used for continuous monitoring, then proximity detection reliability improves, but battery life deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of packet exchange frequency based on detected motion states. When motion is detected, the system increases monitoring frequency to maintain high reliability. When motion is absent, the system reduces frequency to extend battery life. This dynamic adaptation resolves the contradiction between continuous monitoring reliability and power consumption.
Solution Approach 2:
The system uses motion detection feedback to adjust the packet exchange rate. The motion detection mechanism provides real-time feedback about the tag's state, allowing the system to optimize its monitoring behavior and balance between reliability and energy efficiency.
3Device complexity
If fixed connection interval is used, then system operation is simple, but adaptability to environmental changes deteriorates
Solution Approach 1:
The patent transitions from fixed connection intervals to dynamic, motion-based interval adjustment. The system automatically adapts its monitoring frequency according to the tag's motion state, enhancing its ability to respond to environmental changes while maintaining manageable system complexity through automated decision-making.
4Device complexity
If simple proximity threshold monitoring is used, then system complexity is low, but false alarms increase
Solution Approach 1:
The system incorporates motion detection feedback to validate proximity events. Before triggering an alarm, the system checks whether motion was detected during the proximity event. This feedback mechanism filters out false alarms caused by static objects or environmental factors while maintaining relatively simple system architecture.
Solution Approach 2:
The patent enhances simple threshold monitoring by integrating motion detection capabilities. This addition allows the system to distinguish between genuine proximity events and false alarms, improving reliability without significantly increasing overall system complexity.
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 provides accurate proximity measurement within 1 meter, enhances battery life, and improves reliability by dynamically adjusting connection intervals and using a neural-fuzzy system to minimize false alarms.
Implementation Method 1
the monitor including a radio transmitter/receiver and each tag including a radio transmitter/receiver adapted to transmit periodic signals
Implementation Method 2
the monitor and/or the tag includes means for detecting changes in orientation or movements, and is arranged to filter received modify separation criteria during periods of rapid change in orientation/movement
Data Source
AI summary
Disclosed herein is a monitoring system for deriving a measurement of a separation distance between a monitor and one or more tags, where each tag is adapted to be attached to or contained within an object to be monitored, the system including a monitor that is operable to trigger an event if the separation distance exceeds a set separation limit. A frequency of packet exchange between a tag and monitor is dynamically altered based on a comparison of one or more monitored parameters with a mode transition threshold.