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Train AEB system tunnel scene control decision-making method

A technology of scene control and decision-making method, applied in scene recognition, instrument, character and pattern recognition, etc., can solve problems such as easy mistakes, and achieve the effect of low cost of use, simple operation and high measurement accuracy

Active Publication Date: 2020-01-17
湖南九域同创高分子新材料有限责任公司
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Problems solved by technology

[0003] The purpose of the present invention is to provide a tunnel scene control decision-making method for the train AEB system, which solves the problem that the traditional relying on the driver to identify obstacles for control decision-making operation is prone to mistakes, and the tunnel wall with a shorter detection distance is identified as a non-obstacle

Method used

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  • Train AEB system tunnel scene control decision-making method
  • Train AEB system tunnel scene control decision-making method
  • Train AEB system tunnel scene control decision-making method

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Embodiment Construction

[0059] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0060] Such as figure 1 As shown, a kind of train AEB system tunnel scene control decision-making method provided by the present invention, please refer to figure 2 , including the following steps:

[0061] S1. Collect the spatial position data and attribute data of the orbit and the surrounding objects through the laser radar 1;

[0062] see figure 1 1. The laser radar 1 is installed on the lower bar in the headlight of the train head through a mechanical device; the preferred mechanical device is a columnar bracket welded on the steel plate at the top of the train 2; the laser radar 1 is connected with the industrial computer through an Ethernet port; When the radar 1 is installed, the height h between the laser radar 1 and the orbit is 0.86 meters, and the pitch angle β of the laser radar is 12.5°

[0063] In this embodiment, the laser radar 1 adopts a ...

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Abstract

The invention discloses a train AEB system tunnel scene control decision-making method which comprises the following steps: S1, acquiring data by a laser radar; S2, data space coordinate conversion; S3, carrying out denoising and filtering processing; S4, data clustering is carried out; S5, acquiring an obstacle contour; S6, obstacle boundary fitting; S7, typical obstacle feature collection; S8, obstacle feature comparison; and S9, executing a control decision. The processing and calculation of the scene data around the obstacle are all completed by the industrial personal computer assembly, the operation is simple, the detection is convenient, the use cost is low, the measurement precision is high, the calculation result is intuitive, the processing precision is higher than that of a camera, and the influence of weather environment conditions is avoided. In the running process of a train tunnel, manual braking accidents caused by the light problem can be avoided, and tunnel train accidents are effectively reduced.

Description

technical field [0001] The invention relates to a decision-making method for train safety operation control, in particular to a decision-making method for train AEB system tunnel scene control. Background technique [0002] Because rail transit has many advantages such as large capacity, high efficiency, low energy consumption, intensification, convenient riding, and safety, it is one of the most suitable choices for transporting passengers and goods. When the rail train is running in the tunnel, due to the definite train track, the train inevitably faces many safety factors, such as obstacles or curves ahead. If the train needs to decelerate or brake in a timely manner, it needs to identify different things to judge whether it is an obstacle, such as stones on the track, surrounding scaffolding and tunnel walls, etc. The traditional train AEB system does not consider the tunnel The situation or the tunnel wall is regarded as an obstacle, causing the train to brake inadvert...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/40G06K9/44G06K9/62
CPCG06V20/58G06V10/30G06V10/34G06F18/23G06F18/241
Inventor 姚光磊韩毅刘永涛巨洪张红娟
Owner 湖南九域同创高分子新材料有限责任公司
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