Shield tunneling machine hob repairing method and device and medium

Through machine learning model and laser cladding technology, repair parameters and areas are adaptively selected according to the damage type of the shield machine hob, which can effectively and accurately repair the shield machine hob, and improve the quality and utilization rate of the repaired hob.

CN119703140AActive Publication Date: 2025-03-28ROAD & BRIDGE INT CO LTD +1
7 Cites 0 Cited by

Patent Information

Application Number
CN202411821159.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-11
Publication Date
2025-03-28
Estimated Expiration
2044-12-11

AI Technical Summary

Technical Problem

The existing shield machine hob repair method cannot adaptively select repair parameters based on the damage type of the hob, resulting in low efficiency of the hob utilization after repair.

Method used

By obtaining the appearance data of the hob to be repaired, the damage type is determined using machine learning models (including convolutional neural networks and attention mechanism layers), the repair parameters are determined based on the correspondence between the damage type and the repair parameters, the area to be repaired is determined in combination with 3D scanning data comparison analysis, and the laser cladding equipment is used for accurate repair.

Benefits of technology

Targeted repair treatment is achieved according to the type of hob damage, improving the quality and utilization rate of hobs after repair, and avoiding unnecessary repair of hobs that do not have repair value.

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

Abstract

The invention discloses a method and equipment for repairing a hob of a shield tunneling machine and a medium, belongs to the technical field of mechanical repairing, and aims to solve the technical problem that the echelon utilization efficiency of the repaired hob needs to be improved due to the fact that an existing method for repairing the hob of the shield tunneling machine cannot adaptively select repairing parameters according to the damage type of the hob. The method comprises the steps of obtaining appearance data of a to-be-repaired hob; inputting the appearance data of the to-be-repaired hob into the machine learning model, and determining the damage type of the to-be-repaired hob; based on a corresponding relation between the damage type and a repair parameter, determining the repair parameter corresponding to the damage type; comparing the appearance data of the to-be-repaired hob with the appearance data of the new hob, and determining a to-be-repaired area; and based on the repairing parameters and the to-be-repaired area, the to-be-repaired hob is repaired. By means of the method, the quality and the utilization rate of the repaired hob are improved.
Need to check novelty before this filing date? Find Prior Art