Tire failure early warning method and device, electronic equipment and storage medium
By acquiring the abnormal scoring sequence of tire running status, identifying single-point over-limit points and calculating their density, a failure warning signal is generated, solving the problems of false alarms and delayed warnings in existing technologies, and achieving more accurate and reliable tire failure warnings.
CN122143922APending Publication Date: 2026-06-05SHANGHAI JIAOTONG UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI JIAOTONG UNIV
- Filing Date
- 2026-01-30
- Publication Date
- 2026-06-05
AI Technical Summary
Technical Problem
Existing tire failure warning systems are sensitive to instantaneous anomalies, are prone to false alarms, and cannot identify early cumulative damage patterns, resulting in delayed warnings.
Method used
By acquiring the abnormal score sequence of tire running status, single-point over-limit points are determined based on the abnormal score and preset alarm threshold, the density of over-limit points is counted, a failure warning signal is generated, and anomalies caused by instantaneous impact and damage accumulation are distinguished.
Benefits of technology
It improves the accuracy and reliability of tire failure warning, reduces false alarms, identifies early damage modes in a timely manner, and ensures safety and economic benefits.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122143922A_ABST
Abstract
The application provides a tire failure warning method and device, electronic equipment and storage medium. The method comprises: acquiring an abnormal score sequence representing the time sequence state of the tire; determining a single point over-limit point based on the abnormal score in the abnormal score sequence and a preset alarm threshold; determining the total number of over-limit points within a preset time window including the single point over-limit point, and determining the over-limit point density based on the total number of over-limit points; and generating a tire failure warning signal based on the over-limit point density and the single point over-limit point. The application first determines a single point over-limit point based on the abnormal score and the preset alarm threshold, preliminarily screens out the key moment when the state of the tire deviates from the normal range during the operation of the tire; determines the over-limit point density by counting the total number of over-limit points within a preset time window, and quantitatively analyzes the aggregation characteristics of these abnormal moments in the time dimension; generates a tire failure warning signal based on the over-limit point density and the single point over-limit point, and significantly improves the accuracy and reliability of the failure warning.
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