Vehicle Noise Source Mapping for Failure Part Detection
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Solution Overview
Problem
Existing methods for detecting vehicle failures based on noise data are time-consuming, costly, and unreliable, relying heavily on operator experience and often miss or falsely detect issues, posing safety risks.
Innovation Solution
A method and system using microphone units arranged on a vehicle to obtain noise data, determine the coordinates and types of noise sources, and match them with a modeled image of the vehicle to identify failure parts, employing techniques like beamforming and Ultra Wide Band tags to improve accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If an automotive stethoscope is employed by an operator to detect failure, then the detection can be performed with simple equipment, but the method is time-consuming and costly
Solution Approach 1:
The patent replaces the mechanical automotive stethoscope with an electronic acoustic detection system comprising multiple microphones, signal processing units, and coordinate calculation algorithms. This substitution automates the detection process, eliminating manual operation while reducing detection time through parallel signal processing from multiple sensors.
Solution Approach 2:
The system performs self-diagnosis by automatically analyzing acoustic signals, calculating noise source coordinates, identifying failure parts, and generating detection reports without requiring operator intervention. The automated coordinate calculation and failure part identification enable the system to serve itself, eliminating time-consuming manual analysis.
2Ease of manufacture
If an automotive stethoscope is employed by an operator to detect failure, then the equipment cost is low, but the detection is costly due to operator dependency
Solution Approach 1:
The patent replaces operator-dependent mechanical stethoscope usage with an automated electronic detection system. Multiple microphones capture acoustic signals simultaneously, and computer algorithms process these signals to determine noise source coordinates and identify failure parts, eliminating variability in operator skill and experience while maintaining cost-effectiveness.
Solution Approach 2:
The system creates a virtual acoustic model of the vehicle by calculating noise source coordinates and mapping them to the vehicle's three-dimensional structured graph. This digital copy enables reliable failure part identification without requiring physical inspection by operators, ensuring consistent detection results.
3Device complexity
If operator experience is relied upon for noise-based failure detection, then simple equipment can be used, but the detection accuracy is low and unreliable
Solution Approach 1:
The patent replaces subjective operator judgment with objective electronic measurement and algorithmic analysis. The system calculates precise noise source coordinates using acoustic signal processing and matches them against the vehicle's three-dimensional structured graph, providing accurate, repeatable failure part identification independent of operator experience.
Solution Approach 2:
The patent introduces an intermediary processing layer between noise detection and failure identification. The coordinate calculation unit and failure part determination unit act as intermediaries that translate raw acoustic data into precise location information, bridging the gap between simple microphone input and accurate failure diagnosis with high measurement precision.
4Measurement precision
If multiple microphone units are arranged on different positions of the vehicle, then the accuracy of noise source localization is improved, but the device complexity increases
Solution Approach 1:
The patent divides the vehicle into a three-dimensional structured graph with multiple nodes representing different parts. Each microphone unit is assigned to specific nodes, and the coordinate calculation algorithm processes signals from segmented microphone groups to determine noise source locations, managing complexity through systematic segmentation of the detection space.
Solution Approach 2:
The patent creates a universal coordinate calculation algorithm that works with any arrangement of microphone units on the vehicle. The same algorithm processes signals from different microphone configurations to determine noise source coordinates, making the system adaptable to various vehicle types and microphone placements without requiring complex customizations.
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 approach reduces manpower and time costs while enhancing vehicle safety by accurately identifying and locating failure parts, recommending maintenance actions based on noise type analysis.
Implementation Method 1
obtaining noise data of the vehicle from a number of microphone units arranged on different positions of the vehicle
Implementation Method 2
employing techniques like beamforming and Ultra Wide Band tags to improve accuracy and efficiency
Implementation Method 3
employing techniques like beamforming, a high resolution spectral estimation methodology, a time-difference of arrival approach
Data Source
AI summary
A method for detecting failure of vehicle is provided. The method obtains noise data of the vehicle from microphone units. The microphone units are arranged on different positions of the vehicle. The method detects sets of coordinate data of noise sound sources which is determined according to the noise data. The sets of coordinate data of the noise sound sources are relative sets of coordinate data. The method detects a noise type of each noise sound source according to the noise data. The method matches the sets of coordinate data and a modeled image of the vehicle, to determine an absolute coordinate data of each noise sound source in the vehicle. The method determines failure parts of the vehicle according to the noise type of each noise sound source and the absolute coordinate data. A related electronic device and a related non-transitory storage medium are provided.