An automatic detection method for key points of steel pipe casing collar connection

A casing coupling and automatic detection technology, which is applied in the field of quality engineering, can solve the problems of outflow, oil leakage, loss, etc.

Active Publication Date: 2019-07-19
PEKING UNIV
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Problems solved by technology

However, the detection of the sealing point and the shoulder point is equally important. Failure to detect the sealing point may lead to outflow of the poorly sealed casing collar connection, resulting in oil leakage and huge losses

Method used

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  • An automatic detection method for key points of steel pipe casing collar connection
  • An automatic detection method for key points of steel pipe casing collar connection
  • An automatic detection method for key points of steel pipe casing collar connection

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Embodiment Construction

[0064] In the following, the present invention is further described through embodiments in conjunction with the drawings, but the scope of the present invention is not limited in any way.

[0065] The present invention provides a method for detecting key points of casing coupling connection, establishes a two-stage model framework, and proposes an advanced statistical method using positive and negative sequence to detect two key interpretable change points. The method is based on the torque signal of the casing coupling connection with the sealing surface: firstly, the similarity between the torque signal and the interpretable physical basis is measured based on the dynamic time warping method. Then, in the first stage, all potential change points in the torque signal are detected based on the statistical test of the maximum value of F and the two-phase regression model. In the second stage, two more likely key change points are selected through screening of reverse change points...

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Abstract

The invention discloses a method for automatically detecting key points for casing collars of steel pipes; a two-stage model is established based on a torque signal connected to a casing collar with seal surface, all potential varying points in the torque signal are detected in the first stage, and physical basis is generated according to the torque signal specifically; a two-phase regression model is provided to acquire all possible varying points; shoulder point and seal point distance restraints are acquired in the second stage, varying points in a varying point set are screened to select more possible key varying points; seal points and shoulder points are determined based on a weighted three-phase regression model. The technical scheme for monitoring special fastener screwing quality automatically and precisely is provided, the automated monitoring process of casing collar connection quality can be quickened, labor cost of manual observation for positions of seal points and shoulder points is saved, quality monitoring false alarm rate and scrappage rate are decreased.

Description

Technical field [0001] The invention belongs to the field of quality engineering, and relates to the quality of casing coupling connection engineering, in particular to an automatic detection method for obtaining key points of steel pipe casing coupling connection based on forward detection and backward screening of torque signals. Background technique [0002] Tightness is one of the key quality characteristics of petroleum pipelines. In the current process of casing coupling screwing, the method of manual inspection by experienced engineers is not only the accuracy of the measurement cannot be guaranteed, but there may be negligence in the work that may cause the outflow of waste, so the casing is automatically detected The tightness of the coupling is very necessary. In the process of casing coupling screwing, this quality characteristic mainly depends on two key interpretable change points of the torque signal collected by the sensor installed on the screwing machine. In th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N19/04G06F17/18
CPCG01N19/04G06F17/18
Inventor 杜娟张玺
Owner PEKING UNIV
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