Frequency-Domain Exposure Sensing for Configurable Monitoring
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Solution Overview
Problem
Existing data acquisition systems for monitoring physical variables are often custom-designed and lack efficient methods for converting data into frequency domain representations to calculate exposure, which limits their configurability and accuracy.
Innovation Solution
A sensor device that periodically samples physical variables, converts them into frequency domain representations using Fourier transforms, applies calibrations to remove artifacts, and uses algorithms to determine exposure, allowing for configurable and accurate monitoring of instantaneous, recent, or lifetime exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If custom-designed data acquisition systems are used for monitoring physical variables, then the systems can be tailored to specific applications, but the device complexity and lack of configurability increase
Solution Approach 1:
The patent implements a universal data acquisition system that can monitor multiple physical variables (acceleration, temperature, humidity, pressure) using a single configurable device. The system uses a microcontroller that can be programmed to perform different sensing functions, replacing the need for multiple custom-designed systems for different applications.
Solution Approach 2:
The system allows dynamic configuration of sensing parameters including sampling rates, threshold values, and alarm conditions through software programming. The microcontroller can be reconfigured to monitor different physical variables and adjust measurement parameters without hardware changes, enhancing adaptability while maintaining a fixed hardware platform.
2Measurement precision
If frequency domain conversion is implemented for exposure calculation, then the measurement precision of exposure monitoring is improved, but the use of energy and computational complexity increase
Solution Approach 1:
The system performs frequency domain conversion periodically at specific sampling intervals rather than continuously. The microcontroller collects data samples over a defined period, then performs Fast Fourier Transform (FFT) calculations at predetermined intervals, reducing overall computational load and energy consumption while maintaining exposure calculation accuracy.
Solution Approach 2:
The system performs preliminary data processing and filtering in the time domain before converting to frequency domain. By pre-processing the data to remove obvious artifacts and organize samples, the system reduces the computational complexity of subsequent FFT operations, thereby lowering energy requirements for exposure calculation.
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
The sensor device provides accurate and configurable monitoring of exposure to physical variables, enabling effective data analysis and reporting, with applications in machine control, vibration monitoring, and thermal fatigue assessment.
Implementation Method 1
converting the plurality of samples to respective frequency domain representations
Data Source
AI summary
Embodiments of a method and apparatus for variable sensing using the frequency domain are taught herein. An exposure of a system to a physical variable is determined by periodically sensing the physical variable to produce a plurality of digital samples. The plurality of digital samples is converted to respective frequency domain representations. The exposure is calculated using the frequency domain representations.