Adaptive Fan Signal Sensitivity Adjustment for Noise Interference

The patent applies dynamics by making the sampling method adaptive rather than fixed. The controller dynamically adjusts the sampling strategy based on detected noise levels and signal characteristics. When noise is detected, the system changes sampling parameters or skips sampling, transforming a static sampling approach into a dynamic one that responds to environmental conditions, thereby maintaining both speed and accuracy.

The patent implements parameter changes by modifying sampling parameters (such as sampling timing, frequency, or threshold values) based on detected noise conditions. The controller adjusts these parameters dynamically to optimize signal interpretation under different noise environments, allowing the system to maintain high sampling speed while adapting sensitivity to prevent misjudgment.

The patent applies self-service by enabling the fan control system to automatically detect noise conditions and adjust its own sampling and interpretation parameters without external intervention. The controller monitors the PWM signal for anomalies, determines when noise is present, and autonomously modifies its operation accordingly, making the system self-adapting while maintaining relatively simple overall architecture.

The patent implements feedback by continuously monitoring the PWM signal characteristics and using this information to adjust sampling and control decisions. The controller receives feedback about signal quality and noise presence, then uses this feedback to adaptively modify its behavior, creating a closed-loop system that balances complexity with adaptability.

The patent applies partial action by selectively applying noise filtering or alternative sampling strategies only when noise is detected, rather than continuously filtering all signals. This approach maintains high response speed during normal conditions while providing enhanced accuracy only when needed, avoiding the constant productivity loss that would result from continuous filtering.

The patent implements periodic action by using intermittent noise detection and adaptive sampling rather than continuous filtering. The system periodically assesses signal quality and adjusts its approach accordingly, maintaining high productivity during clean signal periods while providing enhanced precision when noise is periodically detected.