Visual quantitative calibration and analysis method for cutter abrasion of shield tunneling machine

Abstract

The invention discloses a safe, convenient, economical and reliable visual quantitative calibration and analysis method for cutter abrasion of a shield tunneling machine. The visual quantitative calibration and analysis method comprises three parts of construction of a precise three-dimensional model of the shield tunneling machine, detection on attitude resolving of image data and structural recovery of space scenes, wherein the construction of the precise three-dimensional model of the shield tunneling machine comprises the two steps of construction of a foundation frame of the model of the shield tunneling machine and fining treatment on the three-dimensional model; the detection on the attitude resolving of the image data comprises the three steps of camera calibrating, image acquiring and the attitude resolving; the structural recovery of the space scenes comprises the three steps of image processing, directional operation and cutter abrasion quantitative detection. The visual quantitative calibration and analysis method has the advantages that virtue visual integrated display and digital evaluation of abrasion conditions of cutters are achieved, large-area damage or unnecessary inspection through cabin opening and cutter replacement caused by the fact that the damaged cutters are not replaced in time can be avoided, service lives of the cutters are prolonged, therefore, construction safety risk is reduced, construction cost is reduced, and a construction period is shortened.

Description

technical field [0001] The invention relates to the related technical field of shield machine tool wear detection, in particular to a visual quantitative calibration and analysis method for shield machine tool wear in tunnel shield construction. Background technique [0002] The shield method is a fully mechanized construction method in underground excavation construction. As a large-scale equipment that integrates mechanical, electrical, and hydraulic technologies, the shield machine must be replaced under pressure, which has high safety risks, high costs, and long operating periods. Existing detection methods include open cabin inspection, tool wear sensing device, odor additive, tunneling parameter analysis, etc. Among them, the method of opening cabin inspection has high risks, the detection of tool wear sensing device is not comprehensive, and odor additives are used in muddy water shields. The effect is not good, and the analysis method of tunneling parameters is not ...

AI Technical Summary

Problems solved by technology

As a large-scale equipment integrating mechanical, electrical, and hydraulic technologies, the shield machine must be replaced under pressure, which has high safety risks, high costs, and long operating periods.

Existing detection methods include open cabin inspection, tool wear sensing device, odor additive, tunneling parameter analysis, etc. Among them, the method of opening cabin inspection has high risks, the detection of tool wear sensing device is not comprehensive, and odor additives are used in muddy water shields. The effect is not good, and the analysis method of tunneling parameters is not accurate enough

These methods meet the production control requirements to a certain extent, but there are still many engineering problems

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