US 12,372,428 B2
Negative pressure wave monitoring based leak detection method of multipath pipeline network
Jingtuo Shen, Tianjin (CN); Chao Gao, Tianjin (CN); Yongfang He, Tianjin (CN); Peng Wang, Tianjin (CN); Hugejile Liang, Tianjin (CN); Quan Wan, Tianjin (CN); Xianzhi Lang, Tianjin (CN); Yang Yang, Tianjin (CN); and Lingda Gao, Tianjin (CN)
Assigned to TIANJIN JYJC TECHNOLOGY CO., LTD., Tianjin (CN)
Filed by TIANJIN JYJC TECHNOLOGY CO., LTD., Tianjin (CN)
Filed on Oct. 3, 2022, as Appl. No. 17/958,884.
Claims priority of application No. 202210695634.8 (CN), filed on Jun. 20, 2022.
Prior Publication US 2023/0408364 A1, Dec. 21, 2023
Int. Cl. G01M 3/28 (2006.01); F17D 5/02 (2006.01); F17D 5/06 (2006.01); G01F 1/37 (2006.01); G01F 22/02 (2006.01); G01M 3/26 (2006.01); G01M 3/00 (2006.01); G01M 3/24 (2006.01)
CPC G01M 3/2815 (2013.01) [G01F 1/37 (2013.01); F17D 5/02 (2013.01); F17D 5/06 (2013.01); G01F 22/02 (2013.01); G01M 3/007 (2013.01); G01M 3/243 (2013.01); G01M 3/26 (2013.01); G01M 3/28 (2013.01); Y02A 20/15 (2018.01)] 6 Claims
OG exemplary drawing
 
1. A negative pressure wave monitoring based leak detection method of a multipath pipeline network, wherein the method includes following steps:
Step 1): analyzing a propagation velocity of a negative pressure wave in a single straight pipeline to obtain a calculated result of a sound velocity in a thin-walled pipe, the propagation velocity is calculated as below:

OG Complex Work Unit Math
wherein, a is the propagation velocity, K is an elastic coefficient of liquid in Pa; ρ is a density of the liquid in kg/m3; δ is a wall thickness of a pipeline in m; D is an inner diameter of the pipeline in m; E is elastic modulus of a pipe, and is about 2.0×1011 Pa for a steel pipe; and C1 is a constraint coefficient of the pipe, which depends on constraint conditions of the pipe, and wherein the calculated result is used for calculating a negative pressure wave propagation time;
Step 2): disposing a plurality of pressure sensors at positions of the pipeline, and marking the pressure sensors at known disposing positions on a pipeline network map;
Step 3): linearly interpolating position coordinates of nodes in the pipeline network to extend pipeline network information; resolving the time that a negative pressure wave signal generated by a leak propagates to each remote treatment units (RTUs) at each position in the pipeline network in sequence, to form a data column, and thus establishing a time delay standard library; and
Step 4): simulating a leak situation, detecting a pipeline pressure waveform by using the RTUs in a current network, and after calculating a difference between the measured arrival time of the negative pressure wave at each position and the time delay standard library as a reference, determining a point corresponding to the data column closest to a measured propagation time delay in the time delay standard library as a leak point, and outputting the position of the leak point.