Hua Weixing, Chen Yan, Zhao Xiang, Yang Jiping, Chen Han, Wu Zhaojie, Fang Gang
Department Petr Oil & Lubricants, Army Logistics Academy, Chongqing 401331, China.
Chongqing Ceprei Industrial Technology Research Institute Co., Ltd., Chongqing 401332, China.
Sensors (Basel). 2024 May 11;24(10):3053. doi: 10.3390/s24103053.
This paper presents an acoustic emission (AE) detection method for refined oil storage tanks which is aimed towards specialized places such as oil storage tanks with high explosion-proof requirements, such as cave oil tanks and buried oil tanks. The method utilizes an explosion-proof acoustic emission instrument to detect the floor of a refined oil storage tank. By calculating the time difference between the defective acoustic signal and the speed of acoustic wave transmission, a mathematical model is constructed to analyze the detected signals. An independent channel AE detection system is designed, which can store the collected data in a piece of independent explosion-proof equipment, and can analyze and process the data in a safe area after the detection, solving the problems of a short signal acquisition distance and the weak safety protection applied to traditional AE instruments. A location analysis of the AE sources is conducted on the bottom plate of the tank, evaluating its corrosion condition accurately. The consistency between the evaluation and subsequent open-tank tests confirms that using AE technology effectively captures corrosion signals from oil storage tanks' bottoms. The feasibility of carrying out online inspection under the condition of oil storage in vertical steel oil tanks was verified through a comparison with open inspections, which provided a guide for determining the inspection target and opening order of large-scale oil tanks.
本文提出了一种针对成品油储罐的声发射（AE）检测方法，该方法适用于具有高防爆要求的特殊场所，如岩洞油罐和埋地油罐等储油罐。该方法利用防爆声发射仪器对成品油储罐的罐底进行检测。通过计算缺陷声信号与声波传播速度之间的时间差，构建数学模型来分析检测到的信号。设计了一种独立通道AE检测系统，该系统可将采集到的数据存储在一台独立的防爆设备中，并能在检测后在安全区域对数据进行分析和处理，解决了传统AE仪器信号采集距离短和安全防护薄弱的问题。对储罐底板进行了AE源定位分析，准确评估其腐蚀状况。评估结果与后续开罐检测的一致性证实，利用AE技术能有效捕捉储油罐底部的腐蚀信号。通过与开罐检查对比，验证了立式钢制油罐在储油状态下进行在线检测的可行性，为确定大型油罐的检测目标和开罐顺序提供了指导。
