Detection method for quality of electric power pipe gallery reinforcing steel bar mesh based on machine vision and detection device

Abstract

The invention relates to a detection method for the quality of an electric power pipe gallery reinforcing steel bar mesh based on machine vision and a detection device. The detection method comprises the steps of reinforcing steel bar quantity detection, reinforcing steel bar spacing detection and reinforcing steel bar diameter detection, and is characterized in that reinforcing steel bar quantity detection adopts technologies such as image stitching and Hough transform straight line detection to count the quantity of reinforcing steel bars within a meter marker and judges whether the reinforcing steel bars are qualified or not; reinforcing steel bar spacing detection adopts an edge extraction technology, fits each reinforcing steel bar by using a least square method, calculates the distance between adjacent reinforcing steel bars in a rectangular detection area and judges whether the reinforcing steel bar spacing of the section is qualified or not; and reinforcing steel bar diameter detection is similar to reinforcing steel bar spacing detection, the difference lies in that double edges of each reinforcing steel bar are fit by using the least square method in the rectangular detection area, and the diameter of each reinforcing steel bar is calculated so as to judge whether the reinforcing steel bar diameter of the section is qualified or not. The detection device comprises a scalable triangular frame, a double-pipe guide rail, a stepper motor, a level gauge and a cradle head loaded with an ultra high definition camera. According to the invention, information of the reinforcing steel bar mesh of a project under construction can be collected in advance before reinforced concrete is poured.

Description

technical field [0001] The invention relates to the field of steel bar specification detection for power pipe gallery, in particular to a machine vision-based method and device for detecting the quality of steel bar mesh in power pipe gallery, which realizes real-time detection and early warning of the number, diameter, and spacing of commonly used steel bars required by the steel bar code. Background technique [0002] With the development of urbanization, the demand for architecture in modern society is increasing. At present, the most common building material used in the construction industry is reinforced concrete. As a symbolic material of modern buildings, its use has greatly improved the quality of modern construction projects. Modern buildings have higher and higher construction requirements for reinforced concrete technology. In order to ensure the quality of construction projects and ensure the personal safety of construction personnel and residents, it is urgent t...

AI Technical Summary

Problems solved by technology

In 2008, the collapse of the teaching building and the casualties of teachers and students in the Wenchuan Earthquake became the focus of public opinion. The dead students accounted for 6.14% of the total death toll. The post-earthquake investigation found that corner walls, T-shaped walls and other parts that should be equipped with steel bars passed through After repeated searches, no signs of "brick clamping bars" were found, and tie bars were generally not installed between the brick body and surrounding components according to regulations, which directly or indirectly led to the collapse of the teaching building, causing an uproar in public opinion

[0003] However, at present, vernier calipers are mainly used to detect the quality of steel bars in power pipe corridors. Judging by human eyes, the workload is heavy, the efficiency is low, and the detection accuracy is extremely poor. Moreover, only small batches of samples can be tested, and the test results are not satisfactory. , the entire construction industry has a huge hole here

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