公开(公告)号：US12060091B2

公开(公告)日：2024-08-13

申请号：US17477964

申请日：2021-09-17

Applicant: BEIJING JIAOTONG UNIVERSITY

Inventor： Jiateng Yin ,  Chenhe Ning ,  Shuai Su ,  Kaicheng Li ,  Tao Tang

IPC: G06N20/10 ,  B61H11/02 ,  G06F18/214 ,  G06N3/08

CPC classification number: B61H11/02 ,  G06F18/214 ,  G06N3/08

Abstract: The present disclosure provides a deep learning-based stop control method and system for a high-speed train, and relates to the technical field of rail transit management and control. The method includes: obtaining a training data set; establishing a convolutional neural network (CNN); training and optimizing the CNN by using the training data set, to obtain an optimized CNN; obtaining actual running data of a to-be-controlled train; inputting the actual running data into the optimized CNN to obtain a stop position of the to-be-controlled train; determining whether the stop position of the to-be-controlled train is 0; and if the stop position of the to-be-controlled train is 0, outputting a breaking command; or if the stop position of the to-be-controlled train is not 0, performing the step of “obtaining actual running data of a to-be-controlled train”. The present disclosure can ensure accurate stop of a high-speed train without high costs.

公开(公告)号：US20220126894A1

公开(公告)日：2022-04-28

申请号：US17477964

申请日：2021-09-17

Applicant: BEIJING JIAOTONG UNIVERSITY

Inventor： Jiateng Yin ,  Chenhe Ning ,  Shuai Su ,  Kaicheng Li ,  Tao Tang

IPC: B61H11/02 ,  G06K9/62 ,  G06N3/08

Abstract: The present disclosure provides a deep learning-based stop control method and system for a high-speed train, and relates to the technical field of rail transit management and control. The method includes: obtaining a training data set; establishing a convolutional neural network (CNN); training and optimizing the CNN by using the training data set, to obtain an optimized CNN; obtaining actual running data of a to-be-controlled train; inputting the actual running data into the optimized CNN to obtain a stop position of the to-be-controlled train; determining whether the stop position of the to-be-controlled train is 0; and if the stop position of the to-be-controlled train is 0, outputting a breaking command; or if the stop position of the to-be-controlled train is not 0, performing the step of “obtaining actual running data of a to-be-controlled train”. The present disclosure can ensure accurate stop of a high-speed train without high costs.