摘要
针对管道中突发的泄漏,提出一种基于粒子滤波与压缩感知的泄漏定位方法。首先,基于特征线法建立管道的状态空间方程,使用改进粒子滤波算法对泄漏管道瞬态过程进行状态估计,利用估计值与观测值的均方误差,通过求解优化问题的方式对泄漏点进行定位,并得出泄漏量与泄漏系数的估计值。针对测量值采集、储存和传输设备导致的估计精度低的问题,使用压缩感知对管道的测量值进行预处理。多次实验结果证明,所提出方法使用压缩率为65%~75%的重构信号作为粒子滤波输入时仍能有效定位,相对定位误差约为1%。
A leak localization method is proposed based on particle filter and compressed sensing for the unexpected leakage in pipeline.Firstly,based on the method of characteristic,the state space equation of the pipeline is formulated.The improved particle filter algorithm is used to estimate the state of the transient process of the leaked pipeline.Mean square error of the estimated and observed values is utilized to locate the leakage point by solving an optimization problem.Then,the leakage rate and leakage coefficient are estimated.To enhance the estimation accuracy caused by collecting,storing and transmitting measurements,compressed sensing is used to preprocess the test data.Experimental results show that the proposed method can locate the leak effectively when the reconstructed signal with a compression rate of 65%-75%is used as the input of particle filter.The relative positioning error is about 1%.
作者
贺宁
陈奕昕
贺利乐
姜依纯
He Ning;Chen Yixin;He Lile;Jiang Yichun(School of Mechanical and Electrical Engineering,Xi'an University of Architecture and Technology,Xi'an 710043,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2019年第12期36-46,共11页
Chinese Journal of Scientific Instrument
基金
陕西省教育厅基础科学研究专项计划(18JK0438)
陕西省科协青年人才托举计划(20180112)
道路施工技术与装备教育部重点实验室(长安大学)开放基金(300102258501)项目资助.
关键词
管道
泄漏检测与定位
粒子滤波
压缩感知
状态估计
pipeline
leak detection and location
particle filter
compressed sensing
state estimation
