槽罐车缺陷及泄漏的在役热成像和声发射检测方法综述  

Review of In-service Thermal Imaging and Acoustic Emission Detection Methods for Defects and Leaks in Tanker Trucks

作　　者：向丽 平阳 詹建荣 郭琦 何赟泽 Xiang Li;Ping Yang;Zhan Jianrong;Guo Qi;He Yunze(Hunan Institute of Special Equipment Inspection and Research,Changsha 410007;College of Electrical and Information Engineering,Hunan University,Changsha 410082)

机构地区：[1]湖南省特种设备检验检测研究院,长沙410007 [2]湖南大学电气与信息工程学院,长沙410082

出　　处：《中国特种设备安全》2024年第11期1-8,共8页China Special Equipment Safety

基　　金：湖南省市场监督管理局科技计划项目“基于热成像与声发射多模态数据融合的罐车缺陷和泄漏检测方法研究”(2023KJJH07);湖南省科技创新领军人才(2023RC1039)。

摘　　要：随着石油化工产业的快速发展,槽罐车作为危险化学品的主要运输工具,其安全性对铁路和公路运输安全至关重要。本研究旨在探讨槽罐车缺陷和泄漏的在役热成像和声发射检测方法。通过分析罐体表面温度梯度变化和泄漏时产生的高频震动信号,提出了一种基于长波红外热成像与声发射技术的多模态数据融合在役检测策略。该策略通过数据融合处理,可实现对槽罐车罐体异常状态的自主检测,能够为槽罐车的安全运输提供技术支持。With the rapid development of the petrochemical industry,tanker trucks as the main transportation tool for hazardous chemicals,play a crucial role in the safety of railway and highway transportation.This study aims to explore the in-service thermal imaging and acoustic emission detection methods for tank trucker defects and leaks.By analyzing the changes in the surface temperature gradient of the tank body and the high-frequency vibration signals generated during leaks,a multi-modal data fusion in-service inspection strategy based on long-wave infrared thermal imaging and acoustic emission technology is proposed.This strategy,through data fusion processing,achieves autonomous inspection of abnormal states of the tanker truck body,providing solid technical support for the safe transportation of tanker trucks.

关 键 词：槽罐车 红外热成像技术 声发射检测技术 多模态数据融合 无损检测技术 

分 类 号：X924.2[环境科学与工程—安全科学]