Dynamic Sampling Frequency Control for Radio Wave Sensor Power Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Prior art sensor systems wastefully consume electric power due to setting a sampling frequency for radio waves that is excessively high, as they empirically determine the upper limit of the vibration sensor signal frequency without accurately identifying the frequency range of vibration noise superposed on the radio wave sensor signal.
Innovation Solution
A sensor system that includes a radio wave sensor, a vibration sensor, and a sampling frequency setting part that identifies the upper limit of the vibration frequency and sets the sampling frequency of the radio wave sensor to the Nyquist frequency of that limit, ensuring the radio wave sensor emits electromagnetic waves at a frequency determined by the actual detected vibration, thereby reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sampling frequency of radio waves is set to an excessively high value to ensure sufficient acquisition of vibration sensor signals, then the measurement precision is improved, but the use of energy is worsened
Solution Approach 1:
The sampling frequency is made dynamic rather than fixed. The system continuously monitors the actual vibration frequency components in the radio wave sensor signal and adjusts the sampling frequency accordingly. When vibration frequencies are low, the sampling frequency is reduced, saving energy. When higher vibration frequencies are detected, the sampling frequency is increased to maintain measurement precision.
Solution Approach 2:
The system changes the sampling frequency parameter based on the detected vibration characteristics. By analyzing the frequency spectrum of the vibration sensor signal and identifying the upper limit frequency, the system adjusts the sampling frequency to match the actual measurement needs, preventing both under-sampling and over-sampling.
2Measurement precision
If the sampling frequency is set empirically without accurately identifying vibration frequency range, then the measurement precision is maintained, but the use of energy is worsened
Solution Approach 1:
The system implements feedback by continuously monitoring the vibration sensor signal, identifying the frequency components, and using this information to adjust the sampling frequency. This closed-loop approach ensures that the sampling frequency is always optimized for the actual vibration conditions, preventing energy waste from overly conservative high sampling rates.
Solution Approach 2:
The system replaces empirical mechanical adjustment of sampling frequency with an automated electronic identification process. By using spectral analysis and digital signal processing to identify the upper limit frequency, the system substitutes manual/empirical determination with intelligent automated control, achieving more precise energy optimization.
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 configuration allows the sensor system to control the sampling frequency based on detected vibration, reducing electric power consumption by avoiding the emission of radio waves at excessively high frequencies, thus optimizing power usage.
Implementation Method 1
a radio wave sensor that emits an electromagnetic wave toward a measuring object and receives a reflected wave reflected assuming the electromagnetic wave hits the measuring object
Implementation Method 2
a vibration sensor that measures vibration to be superposed on the reflected wave as noise
Implementation Method 3
determines that a sampling frequency of the electromagnetic wave that the radio wave sensor emits is a sampling frequency whose Nyquist frequency is equal to an identified upper limit of the frequency
Data Source
AI summary
A sensor system that controls a sampling frequency of electromagnetic waves that a radio wave sensor emits and reduces electric power consumption, a vehicle that includes this sensor system, and a radio wave transmitting and receiving method of the sensor system are provided. The sensor system is configured to include a radio wave sensor, a vibration sensor, and a signal processing device. The radio wave sensor emits electromagnetic waves toward a measuring object, receives reflected waves, and outputs reflected wave data to the signal processing device. The vibration sensor measures vibration to be superposed on the reflected waves received by the radio wave sensor as noise and outputs measured vibration data to the signal processing device. The signal processing device recognizes a frequency range of the vibration measured by the vibration sensor, identifies an upper limit of the frequency range, and sets the sampling frequency of radio waves.