Toyota jidosha kabushiki kaisha (20240104977). ABNORMAL SOUND DIAGNOSTIC SYSTEM simplified abstract
Contents
ABNORMAL SOUND DIAGNOSTIC SYSTEM
Organization Name
toyota jidosha kabushiki kaisha
Inventor(s)
Yu Ueda of Toyota-shi Aichi-ken (JP)
ABNORMAL SOUND DIAGNOSTIC SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104977 titled 'ABNORMAL SOUND DIAGNOSTIC SYSTEM
Simplified Explanation
The abnormal sound diagnostic system described in the patent application is a system designed to diagnose abnormal sounds generated in a vehicle by analyzing sound data and inquiry information. Here is a simplified explanation of the patent application:
- The system includes a diagnostic device for analyzing sound data and inquiry information.
- It has a calculation processing unit that acquires a spectrogram showing the relationship between time, frequency, and sound pressure from the sound data.
- A voice recognition unit extracts vocal time zones, which are time zones containing human voices, from the sound data.
- A display unit visually displays the spectrogram, with vocal time zones distinguished from non-vocal time zones.
- Potential Applications
This technology could be applied in the automotive industry for diagnosing and troubleshooting abnormal sounds in vehicles, improving maintenance and repair processes.
- Problems Solved
This technology helps in quickly identifying and locating abnormal sounds in vehicles, leading to faster and more accurate repairs, reducing downtime and improving overall vehicle performance.
- Benefits
The benefits of this technology include improved vehicle maintenance, reduced repair costs, enhanced safety, and increased customer satisfaction due to quicker and more precise diagnosis of abnormal sounds.
- Potential Commercial Applications
Potential commercial applications of this technology could include automotive repair shops, vehicle manufacturers, fleet management companies, and diagnostic tool providers.
- Possible Prior Art
One possible prior art for this technology could be existing vehicle diagnostic systems that analyze engine sounds or vibrations to detect issues. However, the focus on vocal time zones and spectrogram analysis for abnormal sound diagnosis may be a unique aspect of this patent application.
- Unanswered Questions
- How does the system differentiate between different types of abnormal sounds in a vehicle?
The system likely uses machine learning algorithms to classify and identify patterns in the spectrogram data to distinguish between various types of abnormal sounds.
- Can this technology be integrated with existing vehicle diagnostic systems?
It is possible that this technology can be integrated with other diagnostic tools and systems used in vehicles to provide a comprehensive solution for detecting and diagnosing issues related to abnormal sounds.
Original Abstract Submitted
the abnormal sound diagnostic system of the present disclosure includes an abnormal sound diagnostic system including a diagnostic device for diagnosing abnormal sound generated in a vehicle based on data of sound emitted from a vehicle and inquiry information about abnormal sound generated in a vehicle, the abnormal sound diagnostic system including an calculation processing unit for acquiring a spectrogram indicating a relationship between time, frequency, and sound pressure from the sound data, a voice recognition unit for extracting a vocal time zone that is a time zone including a human voice from the sound data by speech recognition, a display unit for displaying a spectrogram, and a display control unit for causing the display unit to display a spectrogram so that the vocal time zone extracted by the voice recognition unit is visually distinguished from a time zone that does not include a human voice.
