Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A machine learning-based train automatic driving system accurate parking method and device

A technology for train automatic driving and machine learning, applied in locomotives, complex mathematical operations, etc., can solve problems such as lack of universality, complex parking control and debugging, reducing debugging time and workload, and wide application.

Active Publication Date: 2019-06-18
通号城市轨道交通技术有限公司
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of complex parking control debugging and lack of universality in the prior art, an embodiment of the present invention provides a machine learning-based precise parking method and device for a train automatic driving system

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A machine learning-based train automatic driving system accurate parking method and device
  • A machine learning-based train automatic driving system accurate parking method and device
  • A machine learning-based train automatic driving system accurate parking method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0016] figure 1 It is a flowchart of a machine learning-based precise parking method for a train automatic driving system provided by an embodiment of the present invention. Such as figure 1 As shown, the method includes:

[0017] Step 101, obtaining real-time information parameters related to precise parking;

[0018] The ATO system extracts ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention provides a machine learning-based train automatic driving system accurate parking method and device. The method comprises the following steps: obtaining real-time information parameters strongly related to the accurate parking; respectively obtaining an input variable parameter influencing the parking error and an output variable parameter representing the parking error; establishing a regression prediction model of the parking error according to each input variable parameter, wherein the regression prediction model comprises a correction variable; obtaining anoptimized regression prediction model through machine learning multiple iterative training; and calculating an input variable parameter when the value of the optimized regression prediction model is 0, updating the input variable parameter, and controlling the train by utilizing the updated input variable parameter, thereby realizing accurate parking. According to the embodiment of the invention,through a prediction regression analysis method based on big data, parking control parameters in an ATO system are autonomously optimized, so that accurate parking is realized; the method and device have universality for trains, the application range is wide, and the debugging time and workload are reduced.

Description

technical field [0001] The embodiment of the present invention relates to the field of intelligent control technology, specifically a method and device for precise parking of a train automatic driving system based on machine learning. Background technique [0002] Automatic Train Operation (ATO) is an important subsystem of Automatic Train Control (ATC). The parking control realizes the automatic control of the running of the main line, the return line and the entry and exit section (field) line, and realizes the adjustment and control of the interval running time. The ATO system is a key link to improve transportation efficiency. Through the implementation of the ATO system, the transportation organization and management of urban rail transit can be improved, passengers can be provided with a more comfortable riding experience, the optimal transportation efficiency of the system design can be achieved, and the fatigue of drivers and passengers can be reduced. Labor intensi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): B61C17/00G06F17/18
Inventor 邓红元田元彭朝阳张晨孙净亮朱波
Owner 通号城市轨道交通技术有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com