Vehicle Abnormal Sound Detection Through Selective Noise Filtering
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Solution Overview
Problem
Existing vehicle soundproofing systems effectively block external normal noise but also suppress abnormal noise signals, such as collision sounds, which can compromise occupant safety by failing to notify them of potentially hazardous situations.
Innovation Solution
A system comprising an external sound recognition module, noise filtering module, abnormality signal detection module, and notification module that identifies and alerts occupants to abnormal sounds above a certain decibel level through visual or auditory signals, distinguishing between normal and abnormal noise to ensure safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If soundproofing materials are installed to block external noise, then the quietness and comfort for occupants is improved, but the ability to hear abnormal sounds indicating safety hazards deteriorates
Solution Approach 1:
The sound notification system segments audio signals by classifying them into different types (normal noise vs. abnormal sounds). The external sound recognition module divides the acoustic environment into manageable categories, allowing selective transmission of only abnormal sounds to occupants while maintaining soundproofing for normal conditions.
Solution Approach 2:
The external sound recognition module acts as an intermediary between the external acoustic environment and the vehicle interior. It captures external sounds, analyzes them to identify abnormal patterns, and selectively transmits only hazardous sounds to occupants, thus mediating between noise blocking and safety notification needs.
2Ease of operation
If all external sounds are blocked to provide a quiet environment, then occupant comfort is improved, but awareness of hazardous situations deteriorates
Solution Approach 1:
The system extracts only the critical abnormal sound information from the overall external acoustic environment. The abnormality signal detection module identifies and extracts hazardous sounds (collisions, sirens, loud voices) while filtering out normal noise, providing occupants with essential safety information without the distraction of all external sounds.
Solution Approach 2:
The system changes the parameter of sound transmission by selectively allowing certain frequencies and sound types to pass through while blocking others. The noise filtering module adjusts transmission parameters based on sound classification, maintaining comfort for normal conditions while enabling hazard awareness when abnormal sounds are detected.
3Quantity of substance
If soundproofing is enhanced to eliminate normal noise, then the pleasant environment is improved, but the notification of collision sounds and other hazards is weakened
Solution Approach 1:
The system implements feedback by continuously monitoring external sounds and adjusting notification output based on detected sound types. The external sound recognition module provides feedback about the acoustic environment, and the notification module adjusts its behavior accordingly, transmitting abnormal sounds to occupants while maintaining soundproofing for normal conditions.
Solution Approach 2:
The sound notification system dynamically adjusts its behavior based on real-time sound analysis. Rather than static noise blocking, the system transitions between different states (blocking vs. notifying) depending on the detected sound characteristics, making the noise control adaptive and context-responsive.
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 system filters out normal noise while transmitting abnormal sound signals to occupants, enhancing safety and convenience by allowing awareness of critical sounds without disturbing them, and improving autonomous driving capabilities.
Implementation Method 1
an external sound recognition module mounted on the outside of a vehicle or between the inside and outside of a vehicle, and configured to recognize a sound generated within a radius of a predetermined value or less from a point where the vehicle is located
Data Source
AI summary
Disclosed are a system and a method for notifying an abnormality signal around a vehicle. The system includes: an external sound recognition module mounted on the outside of a vehicle or between the inside and outside of a vehicle, and configured to recognize a sound generated within a radius of a predetermined value or less from a point where the vehicle is located; a noise filtering module configured to filter out noise classified as a noise item; an abnormality signal detection module configured to identify the detailed sound information including the source, magnitude, and type of the detected sound, and to detect an auditory abnormality signal; and a notification module configured to notify each of the type, magnitude, and generation location of the auditory abnormality signal by means of any one or more of a visual signal and an auditory signal.