Fan Speed Control for Ambient Noise Detection
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Solution Overview
Problem
Existing methods for detecting ambient noise levels in electronic devices are either perceivable by users, increase operational temperatures, or are computationally expensive, often requiring user-initiated input and relying on frequency filtering.
Innovation Solution
A system that alters the operational speed of a cooling resource like a fan to a lower speed, allowing for continuous ambient noise level detection without ceasing fan operation, using a microphone to detect noise levels and comparing them to thresholds to adjust fan speed autonomously, thus reducing noise emission and maintaining cooling efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fan operation is ceased to detect ambient noise level, then measurement precision is improved, but productivity deteriorates due to increased operational temperature and user-perceivable changes
Solution Approach 1:
The patent introduces frequency filtering as an intermediary method to separate ambient noise from fan-generated noise. By filtering out the known fan operating frequencies, the system can detect ambient noise levels while the fan continues to operate, thus maintaining cooling efficiency while achieving accurate noise measurement.
Solution Approach 2:
The system performs preliminary identification of fan operating frequencies and establishes baseline noise characteristics before attempting ambient noise detection. This preliminary action enables the system to distinguish between fan noise and ambient noise through frequency filtering, allowing continuous fan operation during detection periods.
2Measurement precision
If frequency filtering is used to detect ambient noise level, then measurement precision is improved, but device complexity increases due to computational expenses
Solution Approach 1:
The patent segments the noise spectrum into distinct frequency bands, separating fan-generated noise frequencies from ambient noise frequencies. By dividing the frequency spectrum and applying filtering selectively to specific bands, the system reduces the overall computational burden compared to analyzing the entire spectrum.
Solution Approach 2:
The system changes the parameter of fan operating speed to known discrete levels, which correspond to known frequency ranges. By controlling the fan to operate at predetermined speeds with associated known frequencies, the system simplifies the filtering process by focusing only on specific frequency bands rather than analyzing the entire spectrum.
3Object-generated harmful factors
If fan speed is reduced to lower noise emission, then object-generated harmful factors are reduced, but temperature increases due to decreased cooling performance
Solution Approach 1:
The patent implements dynamic adjustment of fan operating speed based on detected ambient noise levels. When ambient noise is high, the fan can operate at higher speeds with more noise. When ambient noise is low, the fan speed is reduced to minimize noise emission. This dynamic adaptation allows the system to optimize the balance between cooling performance and noise emission based on real-time environmental conditions.
Solution Approach 2:
The system establishes a feedback loop where ambient noise levels are continuously detected and used to adjust fan operating speed. The detected ambient noise serves as feedback that informs the control algorithm whether to increase or decrease fan speed, creating a closed-loop control system that automatically optimizes the balance between cooling and noise emission.
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
Accurately detects ambient noise levels with minimal user impact, maintains cooling performance, and avoids computational expenses associated with frequency filtering, allowing for autonomous and continuous noise level monitoring.
Implementation Method 1
detect a first ambient noise level while the cooling resource is operating at the first altered operational speed
Data Source
AI summary
Examples herein relate to ambient noise level detection. For instance, in some examples an electronic device includes a cooling resource and a processor resource to alter an operational speed of the cooling resource from an initial operational speed to a first altered operational speed, detect an ambient noise level, compare the ambient noise level to a first noise threshold, and restrict the operational speed of the cooling resource to be less than the initial operational speed.