Tracking Device Communication Gap Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless tracking devices face communication challenges in areas with signal gaps or blackouts, leading to battery waste and potential misinterpretation of device failure or theft, especially in transportation containers, where communication is obstructed or unreliable.
Innovation Solution
Collecting and storing communication data on signal strength and problem areas to predict and prevent communication failures, allowing devices to adjust their reporting and alert strategies, and providing advance warnings to authorities and users about impending coverage gaps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the tracking device periodically attempts to communicate its location and status to a central station, then the central station can monitor the tracked entity, but battery power is consumed during each communication attempt
Solution Approach 1:
The system dynamically changes communication parameters including reporting intervals, transmission power levels, and communication frequency based on signal quality assessments and predicted communication gap conditions, optimizing the balance between monitoring reliability and battery consumption
Solution Approach 2:
The system performs preliminary assessment of communication conditions and predicts upcoming communication gaps before they occur, allowing the tracking device to proactively adjust its communication strategy and conserve battery power by avoiding futile transmission attempts in known poor signal areas
2Loss of information
If the tracking device attempts communication in areas with poor signal strength or communication gaps, then location data can be transmitted, but communication failures occur leading to false alarms about device failure or theft
Solution Approach 1:
The system continuously monitors communication signal strength and quality, using this feedback to assess current communication conditions and adjust transmission strategies accordingly, while also providing feedback to the central station about communication reliability in specific areas
Solution Approach 2:
The system predicts upcoming communication gaps using historical data and current signal trends, allowing advance preparation of data for transmission before signal loss occurs and preventing false alarms by anticipating when communication failures are likely to happen
3Object-affected harmful factors
If the tracking device is placed inside a transportation container for product protection, then the product is protected during transport, but wireless signal strength is reduced due to container obstructions
Solution Approach 1:
The system adjusts communication parameters such as transmission power and reporting intervals specifically adapted for containerized transport conditions, optimizing performance within the constrained electromagnetic environment of a metal container
4Loss of information
If the tracking device reports location at prescribed intervals to a central station, then the central station can track the route and status, but communication may fail in mountainous areas, tunnels, or urban canyons
Solution Approach 1:
The system predicts upcoming communication gaps using historical data and current signal trends, allowing advance preparation of data for transmission before signal loss occurs and buffering location information for later transmission when communication is restored
Solution Approach 2:
The system dynamically adjusts reporting intervals and data transmission frequency based on predicted communication conditions, increasing robustness in areas prone to signal loss while maintaining efficient route tracking
Data Source
AI summary
A method and apparatus is provided for minimizing potential security problems and battery power usage in a tracking device used in tracking an associated product while being transported along a route wherein wireless communication may be nonexistent or intermittent. This is accomplished in part by having an accessible database of signal quality and strength at a large plurality of locations along given transportation routes whereby adjustments can be made as to the times for the tracking device to obtain GPS location information as well as for times to report any location and or product status data to a remotely located central station. The ability to predict when, along a transportation route communication problems may occur provides the opportunity to notify appropriate authorities in advance of arriving at the communication gap zones whereby arrangements can be made to alleviate potential problems during transportation through wireless communication “gap or dead” zones.


