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

Obstacle detection method for snow removal robot

A technology of obstacle detection and robotics, which is applied in the field of obstacle detection of snow removal robots, can solve problems such as thick road accumulation, low degree of automation, and inconvenient municipal traffic, and achieve high detection accuracy, good adaptability, and avoid errors. The effect of the alarm

Active Publication Date: 2019-04-30
CHONGQING UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In winter, heavy snowfall will cause thick snow to accumulate on the road, which will bring great inconvenience to municipal traffic. It is necessary to use snow removal robots to remove snow from the road
[0003] However, the existing snow removal robots have a low degree of automation and cannot actively find obstacles during walking.

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
  • Obstacle detection method for snow removal robot

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0021] The obstacle detection method of the snow-plowing robot in this embodiment includes the following steps:

[0022] 1) Set the left, middle and right ultrasonic sensors on the snow-sweeping robot, and detect the distance information between the snow-sweeping robot and obstacles through the ultrasonic sensors;

[0023] 2) Process the detection signal

[0024] a. Processing of the aftershock interference signal of the ultrasonic sensor probe:

[0025] The vibration of the probe of the ultrasonic sensor will last for a period of time after sending the driving pulse, and the vibration of the probe is mechanical vibration, which cannot be eliminated; the high-frequency pulse signal generated by the vibration will be mistaken for the echo signal by the receiving port of the ultrasonic sensor to generate distance measurement, so To filter out the afters...

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 obstacle detection method for a snow sweeping robot. The obstacle detection method comprises the following steps: (1) a left ultrasonic transducer, an intermediate ultrasonic transducer and a right ultrasonic transducer are arranged on the snow sweeping robot, and information of the distance between the snow sweeping robot and an obstacle is detected through the ultrasonic transducers; and (2) detection signals are processed: a, aftershock interference signals of probes of the ultrasonic transducers are processed; and b, suddenly generated strong interference signals are processed. The obstacle detection method for the snow sweeping robot can effectively inhibit influences from interference signals generated by mechanical vibration of the transducers per se, can also identify quickly moving objects and avoid false alarms probably generated by single measurement, and is good in interference prevention and high in detection accuracy. Meanwhile, in the snow sweeping process in different environments, the actual wind direction and the snow softness degree probably cause difference of such parameters as the robot running speed. The threshold value and the measurement times can be flexibly set through field tests, the demands for the accuracy and the sensitiveness of obstacle detection in different environments can be met and the adaptability is excellent.

Description

technical field [0001] The invention relates to the technical field of snow removal robots, in particular to an obstacle detection method for a snow removal robot. Background technique [0002] In winter, heavy snowfall will cause thick snow accumulation on the roads, which will bring great inconvenience to municipal traffic. It is necessary to use snow removal robots to remove snow from the roads. [0003] However, the existing snow removal robots have a low degree of automation and cannot actively find obstacles during walking. Contents of the invention [0004] In view of this, the object of the present invention is to provide an obstacle detection method for a snow removal robot, so as to realize that the snow removal robot actively finds obstacles during walking, so as to help it realize active barriers. [0005] The snow removal robot obstacle detection method of the present invention comprises the following steps: [0006] 1) Set the left, middle and right ultraso...

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): B25J9/16B25J13/08B25J19/02
CPCB25J9/163B25J9/1664B25J13/089B25J19/026
Inventor 宋永端郎作平薛方正赖俊峰许磊
Owner CHONGQING UNIV
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