Embedded part detection method and system

A detection method and detection system technology, applied in computer parts, image data processing, instruments, etc., can solve the problems of inaccurate, time-consuming and labor-consuming detection results, etc., to simplify the operation process, save detection time, and achieve accurate detection results Effect

Pending Publication Date: 2021-11-26
三一建筑机器人(西安)研究院有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Therefore, the technical problem to be solved by the present invention is to overcome the time-consuming and

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  • Embedded part detection method and system
  • Embedded part detection method and system

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Example Embodiment

[0043] like figure 1 A specific embodiment of the embedded member detection method, including the steps of:

[0044] Step S0: Get the standard position coordinates and types of the embedded part on the current mode through the central control system;

[0045] Among them, the standard position coordinates and types of the embedded parts are obtained by the central control system, and the central control system automatically extracts the standard position coordinates and types of the embedded parts from the prefabricated component and the embedded part, and saved in the central control system. Inside, there is no need to manually input, more convenient and accurate.

[0046] Step S1: Take a photo on the prefabricated components and embedded parts provided on the schedule to obtain actual assembly images;

[0047] Among them, the camera can be selected by setting the camera to take pictures on the prefabricated components and the embedded part, and the camera can be selected accordin...

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Abstract

The invention provides an embedded part detection method and system, and belongs to the technical field of prefabricated buildings, and the method comprises the following steps: S0, obtaining the standard position coordinate and type of an embedded part; S1, photographing a prefabricated part and an embedded part to obtain an actual assembly image; s2, correcting the distortion of the actual assembled image to obtain a corrected assembled image; s3, inputting the corrected and assembled image into a deep learning classification network, and identifying position coordinates and types of the embedded parts; and S4, comparing the position coordinate and the type of the embedded part with the known standard position coordinate and the type of the embedded part. According to the embedded part detection method provided by the invention, manual measurement and detection are not needed, time and labor are saved, the detection result is accurate, a photographing mode is adopted, the detection time is saved, an actual image of the embedded part can be photographed, accurate identification of the embedded part is facilitated, a new prefabricated part does not need to establish an image standardization template, and the operation process is simplified.

Description

technical field [0001] The invention relates to the technical field of prefabricated buildings, in particular to a detection method and system for embedded parts. Background technique [0002] The prefabricated building mode requires pre-preparation of various prefabricated components before construction. In the automatic production process of prefabricated components, usually after the steel skeleton combination is completed, the embedded parts need to be placed on the designated position of the prefabricated component production formwork. The type and installation position of the embedded parts need to be carried out in strict accordance with the drawings. Therefore, after the embedded parts are embedded in the prefabricated components, it is necessary to check whether the type of embedded parts is correct and whether the installation is in place. In the prior art, manual measurement is usually used for detection. However, this method is time-consuming and labor-intensive,...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06T7/73G06T5/00G06T7/80
CPCG06T7/73G06T5/006G06T7/80G06F18/2414
Inventor 邓凯文彭英辉
Owner 三一建筑机器人(西安)研究院有限公司
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