Vehicle Defect Detection Using Travel and Parking Data Fusion
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Solution Overview
Problem
Current vehicle inspection methods, such as daily and periodic inspections, are ineffective in detecting defects, especially in hard-to-reach areas like the underfloor, and rely on skilled inspectors, leading to variable inspection quality and user uncertainty in identifying defective parts.
Innovation Solution
A determination system that combines travel data from vehicles during operation with parking data, using a server to receive and analyze both datasets to accurately identify defective vehicle parts, incorporating telematics information, exterior images, and sound data for comprehensive analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection and hammering test are used for vehicle inspection, then inspection can be performed on the exterior of the vehicle, but inspection precision deteriorates because defects in hard-to-reach areas like the underfloor cannot be detected
Solution Approach 1:
The patent replaces manual visual inspection and hammering tests with automated sensor-based detection systems. Sensors detect abnormalities such as abnormal sounds, vibrations, and temperatures during vehicle operation, enabling precise detection of defects in hard-to-reach areas like the underfloor without requiring manual inspection of these areas.
Solution Approach 2:
The patent introduces sensors as intermediary devices that indirectly detect vehicle defects. Instead of directly inspecting hard-to-reach areas, sensors detect abnormal phenomena (sounds, vibrations, temperatures) that indicate defects, serving as mediators between the inspection system and the defective parts.
2Reliability
If skilled inspectors perform visual inspection and hammering test, then some vehicle defects can be detected, but inspection reliability deteriorates because inspection results vary depending on the inspector's skill level
Solution Approach 1:
The patent enables the vehicle inspection system to serve itself through automated sensor detection. The sensors automatically detect and record abnormal phenomena during vehicle operation, eliminating dependence on inspector skill levels and ensuring consistent, reliable inspection results across different vehicles and inspectors.
Solution Approach 2:
The patent replaces the human inspector's subjective judgment with objective sensor-based detection. Sensors quantitatively measure abnormal sounds, vibrations, and temperatures, providing reliable and consistent defect detection that does not vary with inspector skill level or fatigue.
3Measurement precision
If only travel data is used for defect detection, then defects during vehicle operation can be identified, but detection capability deteriorates because abnormalities during parking cannot be detected
Solution Approach 1:
The patent creates a universal inspection system that functions during both vehicle operation and parking. The same sensor-based system detects abnormalities during travel (through abnormal sounds and vibrations) and during parking (through temperature changes and other static indicators), providing comprehensive defect detection coverage across all vehicle states.
Data Source
AI summary
An object is to provide a determination system, a server, a determination method, and a non-transitory computer readable medium that allow appropriate determination of a defective part of a vehicle. A determination system (1) according to the present disclosure includes: a server (40); a travel data transmission apparatus (10) configured to acquire travel data indicating a state of a vehicle during traveling and transmit the travel data to the server (40); and a parking data transmission apparatus (11) configured to acquire parking data indicating a state of the vehicle during parking and transmits the parking data to the server (40). The server (40) includes: a reception unit (41) configured to receive the travel data and parking data; and a determination unit (42) configured to determine a defective part of the vehicle on the basis of the received travel data and the received parking data.