Detection method and detection device for section morphology of oil casing real object

Abstract

The invention discloses a detection method and a detection device for the section morphology of an oil casing real object, and the method comprises the steps: controlling the laser emitted by a laser range finder to move around the end surface of the fracture of the oil casing real object in the circumferential direction in front of the end surface of the fracture of the oil casing real object, and measuring the distance from a laser emission point to the end surface of the fracture of the oil casing real object to obtain a distance set; shooting an image of the fracture end face of the oil casing real object by using image acquisition equipment in front of the fracture end face of the oil casing real object, and obtaining the width of the fracture end face of the oil casing real object according to the shot image of the fracture end face of the oil casing real object; and fitting according to the distance set and the width of the fracture end surface of the oil casing real object to obtain the shape of the fracture surface of the oil casing real object. When the method is used for detecting the section morphology of the oil casing real object, the analysis randomness and subjective errors of personnel can be effectively reduced.

Description

technical field [0001] The invention relates to the field of tensile failure analysis and test inspection of an oil casing, in particular to a detection method and a detection device for the physical cross-sectional appearance of the oil casing. Background technique [0002] The failure of the oil casing under the axial load happens from time to time. In order to further analyze the accident and improve production, a macroscopic analysis of the fracture of the failed sample is usually carried out to find the cause of failure. Manually measure the cross-sectional area, crack length, tear shape, etc., so it is necessary to cut and decompose the macroscopic sample, measure and observe the divided fractures separately, and then overlap and combine them. The mechanical processing department needs to prepare the sample, involving many personnel and The problems of extensive processes and long cycle times, and the different understandings of various failure analysts due to observa...

AI Technical Summary

Problems solved by technology

Manually measure the cross-sectional area, crack length, tear shape, etc., so it is necessary to cut and decompose the macroscopic sample, measure and observe the divided fractures separately, and then overlap and combine them. The mechanical processing department needs to prepare the sample, involving many personnel and The problem of wide process and long cycle, and the understanding of various failure analysis personnel due to different observation angles, work experience, etc., the conclusion analysis is also different

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