A slurry and slag identification method based on stereovision

By using stereo vision technology, two cameras are used to correct image distortion and calculate exposure time to establish a three-dimensional point cloud model. This solves the motion blur and distortion problems in the identification of slurry in tunnel boring machines and enables accurate identification of parameters such as the shape and volume of slurry.

CN121304798BActive Publication Date: 2026-02-17CHINA RAILWAY 14TH BUREAU GRP LARGE SHIELD ENG CO LTD +3
2 Cites 0 Cited by

Patent Information

Application Number
CN202511873307.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-12-12
Publication Date
2026-02-17
Estimated Expiration
2045-12-12

AI Technical Summary

Technical Problem

Traditional manual slurry analysis methods are inefficient and highly subjective. Problems such as motion blur, image distortion, and inaccurate conversion between pixels and physical dimensions have not been effectively solved in the identification of slurry in tunnel boring machines.

Method used

A stereo vision-based method is used to capture images of slurry residue using two cameras, correct image distortion, and establish a three-dimensional point cloud model using camera parameters and exposure time calculation formulas to achieve accurate identification of slurry residue.

Benefits of technology

It solves the problems of motion blur and image distortion in slurry and sludge recognition, and realizes accurate conversion from two-dimensional images to three-dimensional physical dimensions, thereby improving recognition accuracy and efficiency.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The application discloses a stereovision-based slurry and slag identification method, and belongs to the technical field of tunnel construction, and specifically comprises the following steps: two same cameras are placed above the slurry and slag, fixed after being adjusted to the same height and the imaging half-frames are overlapped; a calibration plate is shot to obtain the baseline distance of the optical centers of the two cameras; the exposure time is determined in combination with the camera accuracy, the slurry and slag movement speed and the imaging magnification; two images of the slurry and slag are synchronously shot, the coordinate system is established, the sight distance difference and the imaging point spacing are calculated, the object distance is solved based on the geometric relationship constructed by the Gaussian imaging formula and the slurry and slag point position and the imaging plane and the camera optical center; finally, the three-dimensional point cloud model is established according to the object distance, and the slurry and slag shape, volume and surface area are output. The application solves the problems of motion blur, image distortion and the inability to accurately identify the size of the slurry and slag in the identification of the slurry and slag, can improve the identification accuracy, and meets the intelligent and refined construction requirements of large shield projects.
Need to check novelty before this filing date? Find Prior Art