TBM Apparatus for predicting advance rate of shield tunnel boring machine and method thereof

摘要

The present invention relates to an apparatus and method for predicting the actual drilling speed of shield TBM. According to the present invention, for each of the plurality of sites previously constructed, a plurality of ground factors measured corresponding to the site, and the DB, which stores the field penetration index calculated based on the actual excavation speed of the site, which is one of the ground factors A clustering unit for correcting the rock class and updating and reflecting the data in the DB, projecting coordinate points corresponding to a plurality of ground factors after the update to the input vector space, and fuzzy clustering each coordinate point into a plurality of clusters; Neural network learning unit for learning neural networks by applying a plurality of ground factors and field penetration indexes to the input and output nodes of the adaptive neuro fuzzy neural network (ANFIS) constructed based on the membership function by fuzzy clustering. Input the plurality of ground factors acquired for the predetermined construction target site into the learned neural network in the same manner as the established construction site, It includes prediction unit configured to predict the Penetration Index. According to the present invention, it is possible to train the ground factors and field penetration index acquired in the past construction site in the neural network, to predict the site penetration index only with the ground data of the construction site, and based on this, it is possible to reliably predict the actual drilling speed. Prediction errors in construction costs and construction time can be greatly reduced.