摘要
为了研究埋地热力管道缺陷检测、泄漏定位问题,根据相似性原理搭建埋地热力管道泄漏试验平台,利用红外热像仪对3种不同工况的埋地管道上方地表进行探测,分析热力管道上方地表红外热像、最大差值辐射温度和差值温度分布变化特征。结果表明,埋地管道泄漏时,红外热像上漏点周围会呈现椭圆形高温区、温度梯度区与自然温度区,高温区内温度最大点往往对应漏点的位置,温度梯度区代表泄漏的影响范围。管道泄漏时最大差值辐射温度升温速率最快,分别是管道保温层破损和管道无破损的2倍和4倍,其差值温度分布直方图由正态分布演变为偏态分布。所提出的根据热像图的像素计算埋地管道泄漏影响区域的实际面积以及根据最大温度点的坐标确定泄漏点位置的方法,可实现管道泄漏影响评估和漏点准确定位。
The defect monitoring, leak identification and location of buried thermal pipeline are studied in this article. According to the similarity principle, the leakage test platform is established. The infrared thermal imager equipment is used to obverse the surface above the buried pipeline under three different working conditions. The variation characteristics of temperature distribution of infrared thermal image, maximum difference radiation temperature and difference of the surface above the heated pipeline are analyzed. Results show that the infrared thermal image appears high temperature area, temperature gradient area and natural temperature region around the leakage when the pipeline leaks. The maximum temperature point in the high temperature zone usually corresponds to the location of the leakage point. The temperature gradient area represents the scope of the spill. In addition, the maximum radiation temperature raises fast when the pipeline leaks. The rate is 2 times and 4 times of damaged insulation layer and non-damaged pipeline, respectively. The temperature distribution histogram is changed from normal distribution to positive skew distribution. According to the pixels of the thermal image, the proposed method can calculate the actual area of the affected area of buried pipeline leakage. According to the coordinates of the maximum temperature point, the location of the leakage point can realize pipeline leakage impact assessment and accurate leak location.
作者
张艳博
任瑞峰
梁鹏
姚旭龙
王帅
Zhang Yanbo;Ren Ruifeng;Liang Peng;Yao Xulong;Wang Shuai(School of Mining Engineering,North China University of Science and Technology,Tangshan 063009,China;Hebei Provincial Key Lab of Mine Development and Safety Technology,Tangshan 063009,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2020年第6期161-170,共10页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(51904105)
河北省高等学校科学技术研究(QN2020221)项目资助
关键词
热力管道
泄漏检测
红外辐射
图像处理
定量分析
heat distribution pipeline
leakage detection
infrared thermal
picture processing
quantitative analysis
