Dynamic Trigger Threshold Adjustment for Signal Drift Compensation
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Solution Overview
Problem
Data recording systems face false triggering due to quiescent signal drift caused by environmental factors, leading to unnecessary data recording outside the period of interest.
Innovation Solution
The method involves continuously adjusting trigger threshold values based on the magnitude of quiescent signal drift to prevent false triggering, using a logic device to monitor and recompute threshold values periodically, ensuring that the signal level does not exceed the adjusted trigger criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed trigger threshold values are used, then the data recording system operates simply and reliably, but false triggering occurs due to quiescent signal drift
Solution Approach 1:
The patent applies dynamics by transitioning from fixed trigger thresholds to dynamically adjustable thresholds that automatically adapt to quiescent signal drift. The system continuously monitors the quiescent signal level and adjusts the trigger threshold accordingly, making the threshold a dynamic parameter rather than a static one. This resolves the contradiction by maintaining trigger accuracy despite signal drift without requiring complex manual intervention.
Solution Approach 2:
The patent implements feedback by continuously monitoring the quiescent signal level and using this information to adjust the trigger threshold. The system measures the actual quiescent level, compares it to the current trigger threshold, and automatically adjusts the threshold to prevent false triggering. This closed-loop feedback mechanism maintains reliability while keeping the system relatively simple through automated adjustment.
2Reliability
If trigger threshold adjustment is implemented to compensate for signal drift, then false triggering is avoided, but the system complexity increases
Solution Approach 1:
The patent applies self-service by enabling the system to automatically adjust its own trigger thresholds without external intervention. The data recording system monitors its own quiescent signal level and autonomously adjusts the trigger threshold to compensate for drift. This self-adjusting capability maintains high trigger accuracy while minimizing the need for complex external control mechanisms or manual calibration procedures.
Solution Approach 2:
The patent implements parameter changes by modifying the trigger threshold parameter based on observed quiescent signal drift. Instead of changing the physical hardware configuration, the system dynamically adjusts the electrical parameter (threshold voltage level) to compensate for drift. This approach maintains reliability through parameter adaptation while avoiding the complexity of physical reconfiguration mechanisms.
3Measurement precision
If continuous monitoring of signal level is performed, then trigger accuracy is maintained, but energy consumption increases
Solution Approach 1:
The patent applies periodic action by implementing continuous monitoring only when necessary to detect quiescent signal drift, rather than maintaining constant high-precision monitoring at all times. The system periodically checks the quiescent signal level and adjusts thresholds accordingly, reducing energy consumption during periods when drift is minimal while maintaining measurement precision when drift detection is needed.
Data Source
AI summary
Methods are presented for adjusting trigger threshold values to compensate for drift in the quiescent level of a signal monitored for initiating a data recording event, thereby avoiding false triggering conditions. Initial threshold values are periodically adjusted by re-measuring the quiescent signal level, and adjusting the threshold values by an offset computation based upon the measured quiescent signal level drift. Re-computation of the trigger threshold values can be implemented on time based or counter based criteria. Additionally, a qualification width counter can be utilized to implement a requirement that a trigger threshold criterion be met a given number of times prior to initiating a data recording event, further reducing the possibility of a false triggering situation.