基于多传感器融合技术的地铁站台门间隙异常检测系统  

Subway Platform Door Gap Anomaly Detection System Based on Multi-Sensor Fusion Technology

作　　者：李福川 魏倩楠 陈轩 LI Fuchuan;WEI Qiannan;CHEN Xuan(Jinan Rail Transit Group Construction Investment Co.,Ltd.,Jinan,Shandong 250000,China;Nanjing Kangni Electronic Technology Co.,Ltd.,Nanjing,Jiangsu 210000,China)

机构地区：[1]济南轨道交通集团建设投资有限公司,山东济南250000 [2]南京康尼电子科技有限公司,江苏南京210000

出　　处：《自动化应用》2025年第4期214-216,共3页Automation Application

摘　　要：提出了一种基于多传感器融合技术的地铁站台门间隙异常检测系统,旨在提高异常检测的准确性。该系统集成了激光雷达和超声波传感器,通过数据融合算法实现了对间隙状态的全面感知。采用改进的异常检测算法,系统能快速识别异常并给出警报。实验结果表明,本系统在检测准确率和响应时间方面均有显著提升。因此,该系统有望降低站台门间隙异常引发的安全风险,为地铁运营安全提供有力的技术支持。This paper proposes a subway platform door gap anomaly detection system based on multi-sensor fusion technology,aiming to improve the accuracy of anomaly detection.The system integrates laser radar and ultrasonic sensors,and achieves comprehensive perception of gap status through data fusion algorithms.By adopting an improved anomaly detection algorithm,the system can quickly identify anomalies and provide alerts.The experimental results show that this system has significantly improved detection accuracy and response time.Therefore,the system is expected to reduce the safety risks caused by abnormal gaps between platform doors and provide strong technical support for subway operation safety.

关 键 词：多传感器融合 站台门间隙 异常检测 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]