Intelligent driving method and system for TBM (Tunnel Boring Machine)

Abstract

The invention provides an intelligent driving method and a system for a TBM. The method comprises steps that: S1, an intelligent decision unit for TBM tunneling parameters predicts the parameters of the current surrounding rock state based on the parameters of the equipment operation; and senses the TBM tunneling environment and predicted tunneling parameters in real time; S2, an online monitoringsystem detects the parameters of the hob cutter stress, the vibration of the cutter head, and the equipment operation, and the slag sheet image in real time; and transmits the characteristic information to a fuzzy control logic library; S3, the fuzzy control logic library converts the feature information into adjustment values and adjustment step-sizes of the tunneling control parameters; and S4,the TBM intelligent driving system reaches a steady state, when the parameters of the hob cutter stress, the vibration of the cutter head, and the equipment operation, and the analysis results of theslag sheet image are all at a steady state. According to the intelligent driving method and the system for the TBM, the method and the system sends relevant characteristic information of real-time feedback by on-line monitoring, such as the hob cutter stress, the cutter head vibration, the slag sheet image analysis, and the main parameters of the equipment operation to the fuzzy control logic library, to give adjustment values and adjustment step-sizes of the control parameters; and realizes the intelligent driving through the closed loop feedback.

Description

technical field [0001] The invention relates to the technical field of tunnel boring equipment construction automation, in particular to a TBM intelligent driving method and system. Background technique [0002] Hard rock tunnel boring machine (hereinafter referred to as hard rock TBM) is a large-scale high-tech construction equipment specially used for excavating rock tunnels and underground passages. In the traditional construction method, the driver in the main control room evaluates the state parameters of the surrounding rock through the slow trial excavation process, and then repeatedly adjusts the excavation parameters until the excavation parameters remain stable. On the one hand, such an operation method will consume a lot of construction time due to continuous slow trial excavation and repeated adjustment of excavation parameters; The parameters cannot adapt to the current excavation environment, resulting in abnormal wear of the cutter and a decline in the rock-b...

AI Technical Summary

Problems solved by technology

[0003] Aiming at the technical problem that the traditional construction method cannot predict the tunneling parameters and the demand for TBM intelligent safe and efficient tunneling, the present invention proposes a TBM intelligent driving method and system, which adds an equipment online monitoring unit, and obtains The eigenvalue indicators output the adjustment value of the excavation parameters and the adjustment step to realize the closed-loop control of intelligent excavation

Images