A method for setting tunneling parameters of a roadheader

Abstract

The invention provides a setting method for tunneling parameters of a tunneling machine. The setting method comprises the following steps of predicting the tunneling efficiency of a subsequent section of tunneling by using an efficiency prediction model according to surrounding rock data; calculating tunneling parameters of a tunneling system according to a mathematic relation of the tunneling efficiency and the tunneling parameters. According to the setting method provided by the invention, the problem that the geological adaptability is poor due to the fact that the tunneling parameters are set only according to construction experience is solved, the parameter setting situation under different geological conditions can be better handled, and thus higher safety, higher reliability and higher efficiency for construction are ensured; the surrounding rock parameters having greater relevancy to the tunneling efficiency are selected as a prediction model for inputting, and thus the tunneling efficiency can be predicted more accurately. A partial least squares (PLS) is adopted for extracting components, so that the problem that the relevancy exists between input variables is solved, the input dimension for an ANFIS (Adaptive Network-Based Fuzzy Inference System) structure is reduced, the prediction precision is increased, the simulation velocity is accelerated and real-time setting of the tunneling parameters of the tunneling machine is facilitated.

Description

technical field [0001] The invention relates to a method in the technical field of construction of large-scale excavation machinery and equipment, in particular to the setting of excavation parameters of a drive system in the construction process of a hard rock excavation machine. Background technique [0002] Full-face hard rock tunnel boring machine (Tunnel Boring Machine, TBM) is a large-scale industrialized tunnel construction operation system integrating machinery, electronics, hydraulic pressure, laser and other technologies. With the advantages of low environmental impact and high comprehensive benefits, it is one of the important methods of tunnel construction at home and abroad. [0003] In terms of tunneling efficiency prediction models, the two most widely used models at home and abroad are the CSM prediction model proposed by the Colorado School of Mines and the NTNU prediction model established by the Norwegian University of Science and Technology. The CSM mode...

AI Technical Summary

Problems solved by technology

[0005] At present, there are still many practical problems to be solved in TBM. The basic research on geological adaptability needs to be further promoted. The guiding setting of tunneling parameters has not yet formed a systematic solution.

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