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TBM Apparatus for predicting advance rate of shield tunnel boring machine and method thereof
TBM Apparatus for predicting advance rate of shield tunnel boring machine and method thereof
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机译:盾构隧道掘进机掘进速度预测的TBM装置及其方法
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摘要
The present invention relates to an apparatus for predicting an actual drilling speed of a shield TBM and a method thereof. According to the present invention, the apparatus for predicting an actual drilling speed of a shield TBM comprises: a DB for storing a plurality of ground factors measured in correspondence to a site, and a site penetration index calculated based on an actual drilling speed of a site for a plurality of pre-constructed sites, respectively; a data correction unit for correcting a rock grade which is one of ground factors and reflecting the same to update the DB; a clustering unit for projecting coordinate points corresponding to the ground factors after updating onto an input vector space, and fuzzy-clustering coordinate points of each site into a plurality of clusters; a neural network learning unit for applying the ground factors and the site penetration index to each of an input node and an output node of an adaptive neuro-fuzzy neural network (ANFIS) constructed based on a membership function by fuzzy clustering to train neural networks; and a prediction unit for inputting the ground factors obtained with respect to a predetermined construction target site in the same method as a pre-constructed site, and predicting a site penetration index of the construction target site. According to the present invention, ground factors and a site penetration index obtained in a previous construction site are trained in neural networks to predict a site penetration index only with ground data of a construction target site, and to predict an actual drilling speed reliably based on the prediction of the site penetration index, thereby dynamically reducing prediction error of construction costs and construction time.
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