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A fire-fighting robot action real-time guidance algorithm for a fire scene

A fire-fighting robot and robot technology, applied in fire rescue, equipment, computing, etc., can solve the problems of difficult identification of the target ignition point, unclear action control of the robot, and inability to effectively complete tasks, etc., to achieve real-time monitoring of operating conditions and simple control and precise, safety-enhancing effects

Inactive Publication Date: 2019-03-08
重庆知遨科技有限公司
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, at present, the control algorithms of robots on the market still have the problem that the target ignition point is not easy to identify, and the robot's action control is not clear, which sometimes leads to the blindness of the robot's fire fighting and the inability to effectively complete the task.

Method used

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  • A fire-fighting robot action real-time guidance algorithm for a fire scene

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Embodiment Construction

[0017] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0018] The technical scheme that the present invention solves the problems of the technologies described above is:

[0019] Such as figure 1 As shown, a fire-fighting robot action real-time guidance algorithm for fire scenes, which includes the following steps:

[0020] The video of the fire scene is obtained in real time through the camera installed on the fire robot, and frame extraction is performed based on the video content of the fire scene, and image preprocessing is performed on the video frame including denoising and separating the front and back images;

[0021] After the image is collected and processed, a positive and negative sample data set is constructed according to the collected pictures...

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PUM

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Abstract

The invention requests to protect a fire-fighting robot action real-time guidance algorithm for a fire scene, and the algorithm comprises the following steps of obtaining a fire scene video in real time, carrying out the frame extraction based on the content of the fire scene video, and carrying out the image preprocessing of a video frame, wherein the image preprocessing comprises the denoising and foreground and background separation of images; after the image is collected and processed, constructing an image recognition model through a model of a convolutional neural network; identifying and acquiring a target ignition point position according to an image identification model, designing different steering controls for different target ignition point positions according to the target ignition point position identified by the image identification model, carrying out the robot fire extinguishing operation, and carrying out the clustering classification on robot fire extinguishing actions.

Description

technical field [0001] The invention belongs to the field of machine identification, and in particular relates to a real-time action guidance algorithm for a fire-fighting robot used in a fire scene. Background technique [0002] With the continuous popularization of robot technology, robots that can enter and extinguish fires in fire scenes have been manufactured in hardware. In many dangerous scenes, using robots to extinguish fires is not only efficient, but also can greatly reduce uncertain risks. The secondary injury caused by the source can save the lives of firefighters. However, at present, the control algorithms of the robots on the market still have the problems that the target ignition point is not easy to identify, and the robot's motion control is not clear, which sometimes leads to the blindness of the robot's fire fighting and the inability to effectively complete the task. Therefore, it is very important and urgent to provide an algorithm with high recogniti...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/73A62C27/00
CPCA62C27/00G06T7/73G06V20/20
Inventor 刘博文
Owner 重庆知遨科技有限公司
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