Vibration Sensor Acoustic Noise Detection System
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Solution Overview
Problem
The high cost and complexity of using anechoic rooms for accurate noise measurement of products, such as 3C devices, make it necessary to develop a cost-effective and accessible method for noise detection that can be used in various settings without the need for a controlled sound field.
Innovation Solution
An acoustic noise detection system utilizing a vibration sensor to convert sensed vibrations into a noise signal, which is then processed to generate a sound pressure level spectrum using equalization and A-weighting parameters, allowing for the calculation of noise values, effectively simulating the results obtained in an anechoic room.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If anechoic room is used for noise measurement, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces the complex mechanical anechoic room system with a vibration sensor-based measurement system. Instead of requiring a controlled acoustic environment with absorptive materials, the system uses a vibration sensor attached to the product housing to directly detect structural vibrations, converting mechanical vibrations into electrical signals for analysis. This substitution eliminates the need for anechoic room infrastructure while maintaining measurement capability.
Solution Approach 2:
The vibration sensor acts as an intermediary between the product's noise source and the measurement system. By attaching the sensor to the product housing, it captures vibration data that represents the noise generation mechanism directly, eliminating the need for the anechoic room's acoustic field control. The sensor serves as a mediator that transfers vibration information without requiring the complex acoustic environment.
2Measurement precision
If anechoic room is used for noise measurement, then measurement precision is improved, but cost increases
Solution Approach 1:
The patent employs inexpensive vibration sensors and standard signal processing equipment instead of expensive anechoic room facilities. The measurement system uses affordable components such as piezoelectric or capacitive vibration sensors, microcontrollers for signal acquisition, and software for spectral analysis, dramatically reducing the cost barrier for noise measurement while maintaining adequate precision for product verification.
Solution Approach 2:
By replacing the expensive mechanical anechoic room system with an electronic vibration sensing system, the patent achieves significant cost reduction. The new system requires only minimal test equipment and can be deployed in ordinary laboratories or even field conditions, eliminating the need for expensive acoustic treatment materials and facility construction.
3Device complexity
If vibration sensor is used to detect acoustic noise, then device complexity is reduced, but measurement precision may deteriorate
Solution Approach 1:
The patent incorporates feedback mechanisms through signal processing algorithms that continuously refine the measurement. The system performs spectral analysis on the vibration sensor data, compares results against reference values, and adjusts measurements to compensate for environmental factors. This feedback loop ensures that the simplified system maintains precision by actively correcting for potential measurement errors through computational methods.
Solution Approach 2:
The system changes the measurement parameter from direct acoustic pressure measurement to structural vibration measurement. By measuring vibrations in the product housing and converting these to equivalent sound pressure levels through calculated transfer functions, the system maintains measurement precision while simplifying the physical measurement setup. The parameter transformation allows ordinary vibration sensors to achieve accuracy comparable to acoustic measurement systems.
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
This method provides accurate noise measurement results comparable to those from anechoic rooms, with an average error of 0.33 dB, enabling convenient and low-cost noise detection in different scenarios, including component design and after-sales service.
Implementation Method 1
using a vibration sensor to sense vibrations generated by an object to generate a noise signal
Data Source
AI summary
A vibration sensor senses vibrations generated by an object to generate a noise signal. A processor obtains a structure vibration level spectrum from the noise signal, uses equalization parameters and A-weighting parameters to adjust the structure vibration level spectrum to generate a sound pressure level spectrum, and uses the sound pressure level spectrum to calculate a noise value of the object.