Road Deterioration Diagnosis Using Sound-Based Reliability Assessment
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Solution Overview
Problem
Existing road deterioration detection methods based on image and acceleration analysis face accuracy issues due to weather conditions and road artifacts, lacking reliability in presenting detection results.
Innovation Solution
A road deterioration diagnosing device that incorporates a deterioration detection module for analyzing images and acceleration, a road surface condition detection module using sound data, and a reliability determination module to assess the accuracy of detection results based on road surface conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If road deterioration detection is performed based on image analysis or acceleration analysis, then detection capability is provided, but detection accuracy is lowered due to weather influence and road artifacts
Solution Approach 1:
Sound data is introduced as an intermediary factor to assess road surface conditions. The sound acquisition unit captures sounds from the road surface, and the road surface condition determination unit analyzes these sounds to identify weather conditions and road artifacts. This intermediary assessment allows the system to adjust or invalidate detection results based on environmental factors, thereby improving reliability without requiring complete redesign of the detection methodology
Solution Approach 2:
The system implements feedback by using sound data to continuously monitor and assess road surface conditions during detection. The road surface condition determination unit provides feedback information about weather and artifact conditions to the deterioration detection unit, which then adjusts its detection results accordingly. This feedback mechanism ensures that detection accuracy is maintained by accounting for real-time environmental influences
2Reliability
If detection results are presented without considering weather and artifact influences, then presentation simplicity is maintained, but detection reliability is insufficient
Solution Approach 1:
The system is segmented into distinct functional units: a sound acquisition unit separate from the deterioration detection unit, and a road surface condition determination unit that independently analyzes sound data. This segmentation allows each component to focus on specific tasks, making the overall system more manageable despite the added functionality for reliability assessment
Solution Approach 2:
The sound acquisition unit serves multiple functions: it captures road surface conditions, identifies weather influences, detects road artifacts, and provides data for reliability assessment. By making the sound acquisition system multi-functional, the patent avoids adding separate dedicated systems for each function, thereby limiting the increase in overall system complexity while improving reliability
Data Source
AI summary
A road deterioration diagnosing device includes a deterioration detection unit, a road surface condition detection unit, and a reliability determination unit. The deterioration detection unit detects road deterioration based on an image and/or acceleration acquired by a moving body. The road surface condition detection unit detects, based on a sound acquired together with the image and/or acceleration used for detecting the road deterioration, a road surface condition at the time of acquiring the sound. The reliability determination unit acquires the reliability of the detection result of the road deterioration based on the road surface condition detected.