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Track detection method and robot

A track detection and robot technology, applied in the field of robots, can solve problems such as wrong detection, missing detection personnel, safety hazards, etc., and achieve the effect of automatic detection and safe operation

Active Publication Date: 2018-09-04
深圳市睿灵创新科技开发有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology allows robots to gather data about their movement without interrupting them or requiring human interference when they move around within tracks. These techniques help prevent errors caused by factors like vibrations or other sources affecting how well these machines work properly. They also use this knowledge to determine if any areas are defective before sending it back up again with new images. By analyzing every few frames of the Real Time Video (RV) streams captured by robotic devices, we aimed at identifying which parts were found wrong while performing maintenance tasks alongside existing assets such as rails. Overall, our technical effect includes improved efficiency and safety in managing train transportation networks.

Problems solved by technology

The technical problem addressed by this patented method for inspecting railway systems involves manually performing an inspections that are time-consuming and expensive due to their laborious nature. This can lead to errors or potential hazards during train operations caused by human error.

Method used

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  • Track detection method and robot

Examples

Experimental program
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Effect test

Embodiment 1

[0031] figure 1 The implementation flow of the track detection method provided by Embodiment 1 of the present invention is shown, and the details are as follows:

[0032] In step 101, the robot collects the real-time video stream of the track;

[0033] In the embodiment of the present invention, when the maintenance personnel start the robot applied in the field of rail transit, they first place the robot on the track position, for example, install the rail robot on the rail of the track, or release the flying robot near the track . After the above-mentioned robot is started, it first sets the frame rate of the image acquisition device (such as a camera) according to the sampling theorem, and then starts to collect the real-time video stream of the track. Specifically, the above-mentioned robot is equipped with multiple cameras, and based on different positions of the cameras installed on the robot, track images from different angles can be collected; based on the type of ca...

Embodiment 2

[0100] Figure 6 A specific structural block diagram of the robot provided by Embodiment 2 of the present invention is shown, and for convenience of description, only parts related to the embodiment of the present invention are shown. The robot 6 includes: an image acquisition module 61 , a visual positioning module 62 , a solution determination module 63 , a travel control module 64 , a fault detection module 65 , and an information upload module 66 .

[0101] Wherein, the video acquisition module 61 is used for the real-time video stream of the machine acquisition track;

[0102] The visual positioning module 62 is used to determine the position of the above-mentioned robot through visual positioning based on the above-mentioned real-time video stream;

[0103] A plan determination module 63, configured to determine the travel plan of the above-mentioned robot according to the position of the above-mentioned robot;

[0104] A travel control module 64, configured to control...

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Abstract

The invention discloses a track detection method and a robot. The track detection method comprises the following steps of: acquiring a real-time video flow of a track by the robot; determining a position of the robot through vision positioning on the basis of the real-time video flow; determining an advancing scheme of the robot according to the position of the robot; controlling the robot to advance according to the advancing scheme; detecting whether a target image exists in each frame of image of the real-time video flow or not, wherein the target image is an image displaying a fault area of the track; and if the target image exists in each frame of image of the real-time video flow, uploading the target image to a server so that the server carrying out secondary analysis on the targetimage and matching the target image to a corresponding client to display on the basis of a result of the secondary analysis. According to the method, basic facilities and basic equipment of track traffic can be automatically detected, so as to ensure safe operation of track traffic systems.

Description

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Claims

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Application Information

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Owner 深圳市睿灵创新科技开发有限公司
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