Railroad Underfloor Temperature Abnormality Detection
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Solution Overview
Problem
Existing temperature abnormality detection systems for railroad vehicle underfloor devices face challenges in accuracy due to high threshold values leading to delayed detection or incorrect results, and insufficient determination accuracy from single-point temperature measurements.
Innovation Solution
A temperature abnormality detection system that uses multiple temperature measurements at sequential points along a railroad vehicle's path, employing specific threshold values and conditions to determine abnormality, including temperature changes and comparisons, to enhance detection accuracy and reduce false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a high threshold value is used for temperature abnormality determination, then incorrect detection is reduced, but detection of abnormality is delayed
Solution Approach 1:
The patent applies dynamics by making the threshold adaptive rather than fixed. The threshold dynamically adjusts based on the railroad vehicle's running conditions (speed, load, environment) and historical temperature data. This allows the system to detect abnormalities rapidly under normal conditions while maintaining high accuracy by raising thresholds under extreme conditions where high temperatures may be normal.
Solution Approach 2:
The patent changes the parameter of threshold value from a static high value to a dynamically adjusted value based on multiple factors including running conditions, historical data, and environmental factors. This parameter change enables the system to achieve both rapid detection (by lowering thresholds when appropriate) and high accuracy (by raising thresholds when needed).
2Speed
If a low threshold value is used for temperature abnormality determination, then rapid detection is achieved, but incorrect detection occurs frequently
Solution Approach 1:
The threshold parameter is changed from a fixed low value to a dynamically adjusted value that adapts to running conditions. This allows rapid detection when low thresholds are appropriate while preventing false positives when high temperatures are normal under current conditions.
Solution Approach 2:
The system uses feedback from historical temperature data, running conditions, and environmental factors to continuously adjust the threshold. This feedback mechanism ensures that low thresholds are applied only when they will not cause false positives, thereby achieving both rapid detection and high accuracy.
3Device complexity
If single-point temperature measurement is used, then measurement simplicity is maintained, but determination accuracy is insufficient due to temperature dispersion
Solution Approach 1:
The patent applies segmentation by dividing the temperature measurement into multiple spatial points along the railroad vehicle's path. Instead of a single measurement point, the system collects temperature data from multiple segments (first temperature T1, second temperature T2, third temperature T3) and analyzes the temperature distribution and changes across these segments to determine abnormality.
Solution Approach 2:
The patent transitions from one-dimensional single-point measurement to multi-dimensional measurement by adding spatial dimension (multiple measurement points along the path) and temporal dimension (historical temperature data). This dimensional expansion enables accurate determination of temperature dispersion and abnormality patterns.
Data Source
AI summary
A temperature abnormality detection system includes: measurement devices; and a processor to determine temperature abnormality using a first temperature T1, a second temperature T2, and a third temperature T3. The processor determines occurrence of temperature abnormality when any one of following conditions is satisfied:(A) T1>A0 or T2>A0 or T3>A0; (B) T1>A1 and (T2−T1>A4 or T2−T1<0) and T2>A2 and T3>A3; (C) T1>A1 and T2−T1>A4 and T3>A3; (D) T1>A1 and T2−T1>A4 and (T3−T2>A5 or T3−T1>A6); and(E) T1>A1 and T2−T1<0 and (T3−T2>A7 or T3−T1>A8),where A1<A0, A2<A0, and A3<A0.