Vehicle Sensor Platform Sound Signal Data Filtering
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Solution Overview
Problem
Current sensor platforms used in road surface environmental surveys and sports training are bulky, expensive, and inefficient due to the need for high-performance computer systems to analyze large amounts of data, often resulting in inaccurate results due to noise and unnecessary data, limiting their availability and effectiveness.
Innovation Solution
Incorporating a sound sensor into the sensor platform to filter and improve data accuracy by using sound signals to identify road surface distresses and adjust data processing, along with algorithms that enable enforced learning modes and data selection to focus on relevant data, reducing the need for high-cost equipment like high-speed cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-performance computer systems and expensive sensor platforms are used to analyze data at high speed, then measurement precision and speed are improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent extracts and removes noise signals and unnecessary data from the sensor data stream using signal processing techniques. By separating the desired road surface information from unwanted noise and interference, the system achieves accurate measurements without requiring complex high-performance computing systems to process all raw data.
Solution Approach 2:
The patent applies parameter changes by adjusting signal processing parameters such as frequency thresholds, amplitude filters, and data sampling rates. These parameter adjustments allow the system to optimize detection accuracy for specific road surface conditions while reducing the computational burden and simplifying the overall system architecture.
2Productivity
If high-speed video cameras and ultrasonic sensors are deployed to capture road surface data at high speed, then productivity and measurement precision improve, but cost and device complexity increase
Solution Approach 1:
The patent implements continuous data collection and processing using streamlined algorithms that operate continuously on the data stream from sensors. By maintaining continuous useful action through efficient real-time processing rather than intermittent high-performance analysis, the system achieves high productivity with simpler, more cost-effective hardware.
3Reliability
If noise signals and unnecessary data are included in the analysis, then data completeness is maintained, but measurement precision and reliability deteriorate
Solution Approach 1:
The patent employs feedback mechanisms where the processed road surface detection results are continuously monitored and used to adjust the signal processing parameters. This feedback loop ensures that noise filtering does not inadvertently remove useful information, maintaining high detection reliability by adapting the filtering criteria based on actual road conditions and detection outcomes.
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 integration of sound sensors enhances data processing efficiency and accuracy, allowing for more effective detection of road surface conditions and sports training data analysis, increasing the number of deployable systems while reducing costs and improving detection capabilities.
Implementation Method 1
a sound sensor for capturing sound signals from the object to be surveyed
Implementation Method 2
an acceleration sensor for capturing environmental data transmitted from an object to be surveyed
Data Source
AI summary
A sensor platform being installed on a vehicle traveling on a road or a sports training device, the sensor platform including, a sensor unit configured by an acceleration sensor for capturing environmental data transmitted from an object to be surveyed, a data selector/variable filter for selecting necessary data or limiting data frequency of the environmental data transmitted from the sensor unit, a sound sensor for capturing sound signals from the object to be surveyed, and a processing unit for running computer programs including algorithms for controlling the sensor unit and the data selector/variable filter, processing output data from the data selector/variable filter and the sound sensor, and setting a threshold level, wherein the processing unit processes the output data from data selector/variable filter when the sound signal level is more than the threshold level.