Unlock instant, AI-driven research and patent intelligence for your innovation.

An intelligent auxiliary route selection method for long cargo railway transportation based on sdf

A technology for railway transportation and route selection, applied in 3D modeling, geometric CAD, instruments, etc., can solve the problems of high labor and material cost, long data sampling period, long test period, etc.

Active Publication Date: 2021-03-16
CENT SOUTH UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The construction cost of this method is high, and the test cycle is long
[0006] The existing detection method consumes high manpower and material costs, and the data sampling period is long when the new route is selected or the old route permits the operating data to change. The current data does not include the dynamic envelope profile of the large cargo truck and the relevant interference data of the environmental data. The transportation route needs to make and install inspection frames and continue to carry out real vehicle experiments to find a route that can safely transport large goods

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
  • An intelligent auxiliary route selection method for long cargo railway transportation based on sdf
  • An intelligent auxiliary route selection method for long cargo railway transportation based on sdf
  • An intelligent auxiliary route selection method for long cargo railway transportation based on sdf

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0072] The present invention will be described in detail below in conjunction with the accompanying drawings and specific examples.

[0073] Such as figure 1 As shown, the present invention discloses an SDF-based intelligent auxiliary line selection method for long-term cargo railway transportation, wherein the SDF is a directed distance field, comprising the following steps:

[0074] Step 1. Obtain the real environment point cloud of the section along the railway line containing obstacles;

[0075] Step 1.1. For the section along the railway that contains obstacles, place reference objects on the rails of this section, and then take photos of the section including obstacles and reference objects; where obstacles refer to those that may affect the transportation of long-term goods Line characteristics such as tunnels, bridges, and utility poles;

[0076] Step 1.2, based on the captured photos, perform 3D environmental reconstruction of the section along the railway line to o...

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 invention discloses an SDF-based intelligent auxiliary line selection method for railway transportation of long-sized goods. Firstly, the real environment point cloud of the section along the railway is obtained; Carry out voxelization processing, and calculate the directed distance field value from each voxel vertex to the truck envelope model; finally, place the real environment point cloud and the AABB bounding box in the same coordinate system, and judge each environment point relative to the AABB bounding box If the position of the box is inside the AABB bounding box, calculate the directed distance field value of the environment point based on the directed distance field value of each vertex of the voxel where it is located; judge each The boundary relationship between the environment point and the envelope model of the freight car, so as to judge that the freight car loaded with long cargo can pass through the section along the railway. The invention greatly reduces the cost of line selection for railway transportation of long and large goods, and improves the detection accuracy.

Description

technical field [0001] The invention relates to the field of railway transportation, in particular to an SDF-based intelligent auxiliary line selection method for railway transportation of large and large goods. Background technique [0002] With the continuous rapid growth of my country's national economy, the reform of the railway freight system has been deepened and improved, and a large number of national construction materials and people's daily necessities have poured into the railway transportation line. In particular, the volume of out-of-gauge cargo has soared in recent years. The transportation of overweight and overweight cargo (large cargo) in railway transportation is a special mode of transportation, and the more special one is the special train transportation of overweight cargo, which is defined as: in order to realize the Specially added railway wagons for the safe transportation of goods (special vehicles). In order to judge whether a railway freight car ...

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 Patents(China)
IPC IPC(8): G06F30/15G06T17/00
CPCG06T17/00G06F30/20
Inventor 易兵宋永锋孙韧凯柳奉奇尹诗周永灿赵世越
Owner CENT SOUTH UNIV