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1. 东北大学信息科学与工程学院， 辽宁 沈阳 110819 ;
2. 东北大学流程工业综合自动化国家重点实验室， 辽宁 沈阳 110819

Localization Algorithm for Gas Pipeline Leak Detection Based on Blind Identification
WANG Lina1, GAO Xianwen1,2, LIU Tan1
1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China ;
2. National Key Laboratory of Integrated Automation for Process Industries, Northeastern University, Shenyang 110819, China
Abstract: When using the acoustic method for gas pipeline leak detection and location identification, we need to know the pipeline length in order to precisely detect the leakage. Here, we use a blind system-identification method to estimate the transmission performance of the two acoustic paths associated with the leak source. This method of building the cost function can solve the estimation question of the prior channel order. In order to avoid convergence to the local minima, a genetic algorithm is used to minimize the cost functions. Simulation results show that when the pipeline length is unknown, the method has high precision, small error, and is of great practical value.
Key words: blind identification     cost function     gas pipeline     leak detection and location

1 引言

2 音波泄漏检测定位方法

 图 1 管道泄漏检测系统框图 Figure 1 Diagram of pipeline leak detection system

 (1)

 (2)

 (3)
 (4)

3 采用盲系统辨识方法估计泄漏点位置

 (5)

 (6)

 (7)

 (8)

 (9)

 (10)

 (11)

 (12)
 (13)

 (14)

 (15)

 (16)

 (17)

 (18)

(z)的最大阶数能取到L，则：

 (19)

 (20)

G1(z)=G2(z)时，式(20)符合式(19). 很显然，如果高估Ĥ1(z)，则式(19)存在非唯一解. 定义约束条件：

 (21)

 (22)

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 (24)

4 仿真实验分析

 图 2 管道泄漏示意图 Figure 2 Leakaging pipeline schematic diagram
 图 3 泄漏声信道辨识结果 Figure 3 Identification results for the leakage acoustic channels

 图 4 管道泄漏信号传播的信道响应辨识结果 Figure 4 The response identification result of the pipeline leakage signals
 图 5 管道泄漏信号传播的信道响应辨识结果 Figure 5 The response identification result of the pipeline leakage signals

 r /mm /s l1 /m $\hat{l}$ /mm Δl /m 100 36.0 56.8 20.8 200 24.3 42.7 18.4 200 34.3 52.5 -18.2 200 53.5 69.6 16.1 200 67.1 83.8 16.7

 r /mm /s l1 /m $\hat{l}$ /mm Δl/m 100 29.1 36.0 56.6 20.6 200 20.5 24.3 42.2 17.9 200 30.0 34.3 16.8 -17.5 200 32.3 53.5 69.3 15.8 200 58.6 67.1 83.6 16.5
5 结论

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http://dx.doi.org/10.13976/j.cnki.xk.2015.0142

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#### 文章信息

WANG Lina, GAO Xianwen, LIU Tan

Localization Algorithm for Gas Pipeline Leak Detection Based on Blind Identification

Information and Contro, 2016, 45(4): 402-406.
http://dx.doi.org/10.13976/j.cnki.xk.2016.0402