Adaptive Band Limiting Filter for Vehicle Vibration Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle vibration extraction systems using optical fiber sensing struggle to accurately extract vehicle vibration components due to noise components varying by road and road surface state, making it difficult to achieve high accuracy with frequency filtering using the same filter.
Innovation Solution
A vehicle vibration extraction system that acquires measurement data from optical fiber sensing and uses a band limiting filter with a passband specific to the road and road surface state to perform frequency filtering, thereby accurately extracting the vehicle vibration component.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency filtering is performed using the same filter for different roads and road surface states, then the filtering process is simple, but the vehicle vibration component cannot be extracted with high accuracy
Solution Approach 1:
The patent applies dynamics by making the filter characteristics adaptive rather than fixed. The band limiting filter's passband is dynamically adjusted based on real-time detection of road vibration characteristics and road surface state. This allows the system to optimize the filter parameters for each specific road condition, thereby extracting vehicle vibration components with high accuracy while avoiding the need for multiple pre-configured filters.
Solution Approach 2:
The patent changes the filter parameters (passband frequency and bandwidth) based on the detected road vibration characteristics. By modifying these parameters according to the actual road conditions, the system achieves high extraction accuracy across different roads and surface states without requiring a complex multi-filter system, thus resolving the contradiction between precision and complexity.
2Measurement precision
If a universal filter is used for all road conditions, then the system is simple to operate, but the noise component cannot be effectively separated from vehicle vibration
Solution Approach 1:
The patent implements self-service by having the system automatically detect road vibration characteristics and autonomously determine the optimal filter parameters. The processor automatically identifies the passband based on the detected characteristics without requiring manual intervention or selection by the user. This maintains ease of operation while achieving high extraction accuracy through adaptive filtering.
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously monitors the measurement data, detects road vibration characteristics, and adjusts the filter parameters accordingly. This closed-loop approach ensures that the filter is always optimized for the current road conditions, maintaining both simplicity in operation and high accuracy in vibration extraction.
3Measurement precision
If fixed frequency filtering is applied, then the processing speed is fast, but the extraction accuracy varies with road and surface state changes
Solution Approach 1:
The patent applies dynamics by transitioning from fixed to adaptive filtering. The band limiting filter's passband is dynamically adjusted based on real-time detection of road vibration characteristics. This allows the system to maintain fast processing speeds while achieving high extraction accuracy across varying road and surface conditions, as the filter adapts to the actual data characteristics rather than using a predetermined fixed configuration.
Solution Approach 2:
The patent performs preliminary detection of road vibration characteristics before applying the filter. By analyzing the measurement data to identify the dominant vibration frequencies and road surface state in advance, the system can pre-configurate the optimal filter parameters. This preliminary action enables the system to maintain high processing efficiency while achieving accurate extraction, as the filter is optimized before processing begins rather than requiring complex real-time adjustments.
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 system effectively separates vehicle vibration and noise components with high accuracy, enabling precise vehicle vibration extraction even under varying road and surface conditions.
Implementation Method 1
a sensing apparatus connected to an optical fiber can measure vehicle vibration of a vehicle traveling on a road over an entire section in which an optical fiber is buried
Implementation Method 2
extract a vehicle vibration component from the measurement data by performing frequency filtering on the measurement data by using a band limiting filter having a passband associated to the road and a road surface state of the road
Data Source
AI summary
A vehicle vibration extraction system according to the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured, by executing the instructions, to acquire measurement data of vibration generated on a road from a sensing apparatus that measures vibration generated on the road by using an optical fiber buried in the road, and extract a vehicle vibration component from the measurement data by performing frequency filtering on the measurement data by using a band limiting filter having a passband associated to the road and a road surface state of the road.


