Application of Weld Scar Recognition in Small-Diameter Transportation Pipeline Positioning System

Lv, Zhen; Wang, Guochen; Wang, Zicheng; Zhao, Huachuan; Gao, Wei

doi:10.3390/electronics11071100

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…The pipeline junction (PJ), such as weld, bend pipe, valve, flange, etc., is regarded as a class of motion constraints [8] , which can be used as the position constraint information of PMR. At present, many researchers have explored how to obtain and utilize the position of pipeline junctions [9][10][11][12] . The specific methods include detecting the peak of IMU acceleration through wavelet decomposition to obtain the position of pipeline junctions, and adding the position of pipeline junctions as an observation to the Kalman filter, which ultimately improves the accuracy of the PMR localization.…”

Section: Introductionmentioning

confidence: 99%

Pipeline inertial measurement mileage correction method based on pipeline junction detection

Chen,

Wang,

Chen

et al. 2024

J. Phys.: Conf. Ser.

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A pipeline measurement robot(PMR) is an important tool for pipeline shape measurement and disease detection. Flexible pipelines in the horizontal plane inside dams are used for internal deformation monitoring, which is characterized by small caliber, no ground marking assistance, and higher accuracy requirements, so the accuracy of the data fusion algorithm needs to be improved. In this paper, we propose a pipeline inertial measurement odometry correction method based on pipeline junction detection, which establishes a reference model of pipeline junction locations, detects pipeline junction gap locations along the measurement route using k-mean clustering, corrects odometer data based on the difference between the detected and reference locations, fuses IMU and odometer data and evaluates the internal compliance accuracy. The proposed method is validated using the measured data of the internal pipeline of Tianchi Dam, and the results show that the method proposed in this paper reduces the root-mean-square error (RMSE) by about 46% compared with the results without detection correction and direct fusion. Therefore, the method has good results and practical applications.

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Section: Introductionmentioning

confidence: 99%

Pipeline inertial measurement mileage correction method based on pipeline junction detection

Chen,

Wang,

Chen

et al. 2024

J. Phys.: Conf. Ser.

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“…In recent years, the positioning method of underground pipelines based on inertial measurement technology has been widely used in the measurement of urban, trenchless, underground, small-diameter pipelines [6][7][8][9][10]. Reduct, a Belgian company, has long been aware of the difficulty in the entry of nonmetallic underground small-bore pipeline personnel and is committed to developing a small-bore pipeline measurement system based on inertial technology.…”

Section: Introductionmentioning

confidence: 99%

Positioning Algorithm of MEMS Pipeline Inertial Locator Based on Dead Reckoning and Information Multiplexing

et al. 2022

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High-precision mapping and positioning of urban underground pipelines are the basic requirements of urban digital construction. Aiming at the above problems, a dead reckoning algorithm based on the starting point and ending point correction and forward and reverse solution information reuse is proposed. This paper firstly establishes a dead reckoning system model consisting of a microelectromechanical system (MEMS) inertial measurement unit (IMU) and an odometer and analyzes the propagation mechanism of dead reckoning errors. The algorithm constructs the trajectory correction matrix by using the position information of the starting point and the ending point of the short-distance underground pipeline and then uses the trajectory correction matrix to correct the trajectory position information obtained by forward and reverse dead reckoning. Finally, the corrected forward and reverse trajectory position information is fused and averaged to achieve high-precision mapping and positioning of underground pipelines. The simulation results of the 100 m pipeline show that the maximum positioning error of the proposed algorithm for straight pipelines is within 5 cm, and the maximum positioning error for 90° curved pipelines is within 20 cm. The algorithm effectively solves the problem of a rapid accumulation of errors over time in the process of dead reckoning, which greatly improves the positioning accuracy.

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Low False Alarm and Narrow-Wide Band Compatible Signal Detection Algorithm Combining the Multiscale Wavelet Transform Extremum Detection With the Spectrum Energy Detection

Huang,

Wang

2023

IEEE Access

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A low false alarm and narrow-wide band compatible signal detection algorithm is proposed by combining the multiscale wavelet transform extremum detection with the spectrum energy detection. The signals with different bandwidths are detected at respective wavelet scales. Signal detection at a single scale adopts the detection strategy of combining the wavelet transform extremum detection with the spectrum energy detection to decrease the probability of detecting spurious signals caused by noises, and the noise floor estimation and spectrum modification are completed by morphological filtering to solve the problem of the noise floor fluctuation. Finally, the detection results at multiple scales are fused and eliminated selectively. The simulation results show that the proposed algorithm is able to achieve excellent narrow-wide band compatible detection performance while realizing a relatively low probability of detecting spurious signals.

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Application of Weld Scar Recognition in Small-Diameter Transportation Pipeline Positioning System

Cited by 3 publications

References 29 publications

Pipeline inertial measurement mileage correction method based on pipeline junction detection

Pipeline inertial measurement mileage correction method based on pipeline junction detection

Positioning Algorithm of MEMS Pipeline Inertial Locator Based on Dead Reckoning and Information Multiplexing

Low False Alarm and Narrow-Wide Band Compatible Signal Detection Algorithm Combining the Multiscale Wavelet Transform Extremum Detection With the Spectrum Energy Detection

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