Tyre Pressure Monitor Allocation Using BLE Frequency Matching
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Solution Overview
Problem
Existing tire pressure monitoring systems face challenges in efficiently and reliably assigning tire pressure monitoring units to vehicle wheels when multiple vehicles are in close proximity, leading to an exponential increase in data volume and processing effort.
Innovation Solution
A method utilizing Bluetooth Low Energy (BLE) communication and counter-based frequency analysis to determine which tire pressure monitoring units belong to a specific vehicle by comparing reception frequencies of characteristic identifiers across units, with secure connection modes and selective data transmission to reduce transmission activity and ensure accurate assignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the central receiving unit processes all characteristic identifiers from all vehicles within transmission range, then complete data coverage is achieved, but data volume and processing effort increase exponentially
Solution Approach 1:
The patent extracts only the relevant characteristic identifiers from the pool of all received identifiers by using each identifier's reception frequency as a selection criterion. The central receiving unit counts how often each identifier is received and selects only those with frequencies corresponding to the vehicle's wheel count, thereby extracting relevant data while discarding irrelevant identifiers from other vehicles.
Solution Approach 2:
The system performs a focused counting operation on identifier frequencies rather than processing all identifier details. By using frequency counting as a filtering mechanism, the system performs a simplified partial analysis that efficiently separates relevant from irrelevant data without requiring complete processing of all identifier information.
2Reliability
If the system waits for significant frequency differences to emerge, then assignment accuracy improves, but assignment time increases
Solution Approach 1:
The system performs preliminary frequency counting on all received characteristic identifiers and uses this pre-computed frequency information to immediately identify relevant identifiers. By preparing the frequency distribution data in advance, the system can quickly determine which identifiers belong to the vehicle without waiting for extended observation periods for frequency differences to naturally emerge.
Solution Approach 2:
The system uses the counted frequency values as feedback to determine when assignment can be made. Each identifier's reception frequency provides immediate feedback about its relevance, allowing the central receiving unit to identify the vehicle's identifiers based on frequency patterns rather than waiting for temporal separation of signals.
Data Source
AI summary
A method for assigning tire pressure monitoring units to a vehicle is described, wherein the tire pressure monitoring units each transmit data telegrams, each containing a characteristic identifier of the transmitting tire pressure monitoring unit, and the data telegrams are received by a central receiving unit of the vehicle, the central receiving unit records in a counter for each characteristic identifier contained in one of the data telegrams it receives how many data telegrams with this identifier were received, in order to decide, based on the frequency of the received identifiers, which tire pressure monitoring units belong to the vehicle.According to the invention, the tire pressure monitoring units of the vehicle each receive data telegrams from other tire pressure monitoring units and, for each characteristic identifier contained in one of the received data telegrams, record in counters how many data telegrams with this identifier have been received, and the tire pressure monitoring units inform the central receiving unit in data telegrams which characteristic identifiers they have received most frequently, and the central receiving unit takes into account, when assigning tire pressure monitoring units to the vehicle, which characteristic identifiers the tire pressure monitoring units have received most frequently.