Life characteristic detection and identification method for rescue robot

A technology of rescue robot and recognition method, which is applied in the field of detection and recognition of life characteristics of rescue robots, can solve problems such as rescue failure, achieve the effect of shortening rescue time and accurately detecting human life characteristics

Active Publication Date: 2021-01-22
HENAN INST OF SCI & TECH
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the technical problem that the existing rescue robots fail to rescue due to the complex environment, the present invention proposes a life feature detection an

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
  • Life characteristic detection and identification method for rescue robot
  • Life characteristic detection and identification method for rescue robot
  • Life characteristic detection and identification method for rescue robot

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0038] Such as figure 1 As shown, the embodiment of the present invention provides a life feature detection and recognition method for a rescue robot, and the specific steps are as follows:

[0039] Step 1: Import the geomorphological features of the disaster area into the rescue robot, build an O-shaped detection area starting from the current position of the rescue robot, and turn on the obstacle avoidance system of the rescue robot;

[0040] The radius R 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 provides a life characteristic detection and identification method for a rescue robot. The life characteristic detection and identification method is used for solving the technical problem of rescue failure caused by complex environment of an existing rescue robot. The life characteristic detection and identification method comprises the following steps that 1, an O-shaped detectionarea is constructed with the position of the rescue robot as a starting point, and an obstacle avoidance system of the rescue robot is started; 2, rescue scanning is performed on the O-shaped detection area by using a carbon dioxide detector to obtain a target point set; 3, target detection is carried out on the target point set by utilizing an infrared detector, and a target point to be rescued is determined; and 4, third-stage identification is performed on the to-be-rescued target point by utilizing a radar life detector, the specific position of a rescuer is determined, and a distress signal is sent by a controller of the rescue robot to timely notify rescue workers to rescue. According to the life characteristic detection and identification method, the multiple detectors are combined,so that the recognition precision is improved, the rescue time is shortened, and the rescue robot has the capability of efficiently and accurately detecting the vital signs of a human body.

Description

technical field [0001] The invention relates to the technical field of robot engineering, in particular to a method for detecting and identifying life features of a rescue robot. Background technique [0002] After entering the 21st century, artificial intelligence, big data, and machine learning have stepped onto the stage of the times. As the carrier robot of "artificial intelligence +", it has also become the new favorite of the times. It is used in military industry, agriculture, education, industry and other fields, and can complete tasks such as delivering goods, inspecting agricultural products, and guiding children to learn efficiently. In addition, robots in high-risk industries are also the focus of attention. When a disaster occurs, rescuers may not be able to enter the scene for rescue due to geographical constraints, and miss the best time for rescue. Compared with rescue team members, rescue robots have stronger environmental adaptability, which is one of the...

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
IPC IPC(8): B25J19/02B25J11/00B25J9/16
CPCB25J19/02B25J19/022B25J19/026B25J11/00B25J9/1666B25J9/1676
Inventor 蔡磊王效朋徐涛罗锦唐文飞
Owner HENAN INST OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap