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Unmanned aerial vehicle fire continuous monitoring method and system

A monitoring system and unmanned aerial vehicle technology, applied in fire alarms, neural learning methods, image data processing, etc., can solve problems such as low recognition rate, false detection, and missed detection, so as to reduce labor costs and improve emergency response speed , Improve the effect of alarm accuracy

Pending Publication Date: 2022-04-05
北京科技大学天津学院
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present invention aims to propose a method and system for continuous monitoring of unmanned aerial vehicle fires, thereby solving the deficiencies of the prior art and solving the problems of low recognition rate, resulting in frequent false detections and missed detections

Method used

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  • Unmanned aerial vehicle fire continuous monitoring method and system
  • Unmanned aerial vehicle fire continuous monitoring method and system
  • Unmanned aerial vehicle fire continuous monitoring method and system

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Embodiment 1

[0039] A method for continuous monitoring of unmanned aerial vehicle fire, comprising the following steps:

[0040] S1: Send a predetermined height command and a cruise task route planning command to the UAV control terminal;

[0041] S2: collect infrared images through the airborne infrared camera, and transmit the infrared images to the ground station system in real time;

[0042] S3: find out the high-temperature region outline of the fire in the infrared image according to the threshold value of the gray scale, and extract the correlation coefficient feature of two consecutive frames of the high-temperature region contour and the corresponding high-temperature region pixel number change rate feature of two consecutive frames;

[0043] Specifically, the image collected by the infrared camera is first processed in gray scale, then the Gaussian filter is used to denoise, and the high-frequency part of the image is detected by edge detection, so as to obtain the outline of the...

Embodiment 2

[0067] Another technical solution proposed by the present invention is: a continuous monitoring system for unmanned aerial vehicle fire, which is applicable to the above-mentioned continuous monitoring method for unmanned aerial vehicle fire.

[0068] Further, the system includes:

[0069] The task planning module is used to plan the path, communication link, task load, power control, and emergency treatment of the UAV swarm inspection task.

[0070] The data acquisition module is used to accept control instructions and collect image data and coordinate data, and transmit image data to the base station;

[0071] Data transmission module, used to transmit image stream, coordinate data and control instructions;

[0072] Fire detection module, flame and smoke target detection system based on deep learning is used to identify image data;

[0073] The fire alarm module is used to report to the fire department that there is a fire at the location of the drone when a fire is confir...

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Abstract

The invention relates to an unmanned aerial vehicle fire continuous monitoring method and system. According to the technology of the invention, the manpower cost can be reduced, the alarm accuracy can be improved, the emergency response speed can be improved, and the life and property loss can be reduced. A regional fire risk database can be established according to the collected data, fireproof resources are reasonably allocated on the basis, and fire prevention is effectively assisted.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicle fire monitoring, in particular to a continuous monitoring method and system for unmanned aerial vehicle fire. Background technique [0002] my country is one of the countries most severely affected by natural disasters in the world. There are many types of disasters, wide distribution areas, high frequency of occurrence, and heavy losses. For sudden disasters, especially fires and mountain torrents with limited scope, strong suddenness, great hazards, and difficult to quickly and large-scale ground search and detection, early detection and early warning is a critical means of disaster reduction. At present, the domestic early warning system basically adopts means and methods of fixed-point observation, such as conventional forest fire prevention and lookout posts. However, due to terrain and cost factors, it is difficult for the observation and early warning network to cover all a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08B17/00G08B25/00G06N3/04G06N3/08G06T7/12G06T7/13
Inventor 张永拓陈胜庞宇宏陈子涵李汶晔王大泽蔡伟伟
Owner 北京科技大学天津学院
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