Abnormality Detection Device for Track and Vehicle Acceleration Analysis
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Solution Overview
Problem
Existing technologies fail to accurately determine abnormalities in vehicles or tracks based on acceleration data, as they cannot differentiate between track and vehicle abnormalities effectively.
Innovation Solution
An abnormality detection device and method that acquires input accelerations from multiple vehicles, determines track or vehicle abnormalities by comparing accelerations to a threshold value, and uses model formulas to inversely estimate vertical displacement or state amounts, specifying abnormal positions or components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If acceleration data from multiple vehicles is collected and analyzed, then the ability to determine abnormality in track or vehicle is improved, but the complexity of the detection system increases
Solution Approach 1:
The patent segments the abnormality detection task into distinct scenarios: when all vehicles show abnormal acceleration (indicating track abnormality) versus when only some vehicles show abnormal acceleration (indicating vehicle abnormality). This segmentation allows the system to apply different determination logic for different situations, improving detection accuracy while managing system complexity through structured decision-making
Solution Approach 2:
The detection device serves multiple functions: it detects both track abnormalities and vehicle abnormalities using the same acceleration sensor network and processing unit. By making the system multi-functional, it achieves high measurement precision for different types of abnormalities without requiring separate dedicated systems for each detection purpose
2Reliability
If acceleration threshold comparison is performed for all vehicles, then the ability to identify track abnormalities is improved, but the time and computational resources required increase
Solution Approach 1:
The patent performs preliminary comparison of acceleration data against threshold values for all vehicles before making the final determination. This preliminary action allows the system to quickly identify patterns (whether all or only some vehicles exceed the threshold) and then apply the appropriate determination logic, improving reliability while managing processing time through pre-structured analysis steps
3Measurement precision
If model formula inversion is used to estimate vertical displacement, then the precision of abnormal position specification is improved, but the computational complexity increases
Solution Approach 1:
The patent introduces model formulas as an intermediary between the measured acceleration data and the desired vertical displacement information. By using these mathematical models, the system can invert the relationship to estimate displacement from acceleration measurements, achieving high precision in abnormal position specification while managing computational complexity through established physical relationships
Data Source
AI summary
An abnormality detection device includes: a measurement value acquiring unit configured to acquire input accelerations of n vehicles traveling along a track; and an abnormality determination unit configured to determine abnormality in the track at a track position at which the input accelerations are equal to or more than a threshold value in a case where it has detected that the input accelerations for all of the n vehicles are equal to or more than a threshold value, and determine abnormality in any one or a plurality of vehicles out of n−1 or less vehicles in the n vehicles at which the input accelerations are equal to or more than the threshold value in a case where it has detected that the input accelerations for the any one or a plurality of vehicles out of the n−1 or less vehicles in the n vehicles are equal to or more than the threshold value.