Forest fire detection and early warning system based on computer vision

A technology of computer vision and forest fire, which is applied to forest fire alarms, fire alarms that rely on radiation, and fire alarms. It can solve the problem of insufficient early warning efficiency, failure to extinguish fires, and failure to detect small fire and other problems, to reduce losses, reduce the incidence of false detection, and improve efficiency

Active Publication Date: 2021-08-24
GLOBALTOUR GROUP LTD
View PDF12 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the system uses remote sensing technology. Although it has a wide detection range, it cannot detect small-scale fires, and the early warning efficiency is not high enough, so that firefighters cannot extinguish the fire at an early stage.

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
  • Forest fire detection and early warning system based on computer vision
  • Forest fire detection and early warning system based on computer vision
  • Forest fire detection and early warning system based on computer vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] combine figure 1 and figure 2 , the present embodiment provides a forest fire detection and early warning system based on computer vision, including several forest early warning stations and a central service station, the forest early warning stations are used to collect image data of the front line and perform fire analysis, and the central service station The station is used to coordinate the data of all forest early warning stations and the visualization of the fire map;

[0036] The forest early warning station includes a video collection module, a video storage module, a picture comparison module, a collection control module, a depth analysis module and a communication module, and the video collection module is used to obtain image data around the forest early warning station, and the video The storage module is used to store the comparison picture group, and the picture comparison module is used to compare the comparison picture group with real-time image data t...

Embodiment 2

[0054] This embodiment includes all the content in Embodiment 1, and provides a kind of forest fire detection and early warning system based on computer vision, including several forest early warning stations and central service stations distributed in various places in the forest, and the forest early warning stations include A video acquisition module, a video storage module, a picture comparison module, an acquisition control module, an in-depth analysis module, and a communication module, the video acquisition module is arranged in a network camera, the video storage module, the picture comparison module, the acquisition control module, The in-depth analysis module and the communication module are arranged in a computer, and the network camera is used to collect surrounding picture data, and the computer is used to analyze the picture data, control the shooting status of the network camera and communicate with the center service The station communicates, and the central ser...

Embodiment 3

[0060] This embodiment includes all the content in the above embodiments. The horizontal angle attributes of the comparison picture group in this embodiment are divided into 0°, 60°, 120°, 180°, 240° and 300°. The sampled pictures The horizontal angle property of is , the picture comparison module divides the sample picture into left and right parts P1, P2, and the width ratio of pictures P1 and P2 for:

[0061] ;

[0062] in, and It is two adjacent horizontal angle attributes in the comparison picture group, and satisfies , when necessary, 0° is written as 360°;

[0063] Select the horizontal angle from the set of comparison pictures as The comparison pictures constitute the set A1, and the horizontal angle is selected as It should be noted that the comparison pictures in A1 and A2 have the same pitch angle attribute as the sampling picture, and the picture comparison module compares picture P1 with set A1, and picture P2 with set A2 ;

[0064] combined with...

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 forest fire detection and early warning system based on computer vision, which comprises a central service station, a video acquisition module, a video storage module, a picture comparison module, an acquisition control module, a depth analysis module and a communication module, and is characterized in that the video acquisition module is used for acquiring image data around a forest early warning station; the video storage module is used for storing a contrast picture group, the picture contrast module is used for comparing the contrast picture group with real-time image data to obtain a suspicious area, the acquisition control module controls the video acquisition module to obtain a detail picture of the suspicious area, the depth analysis module performs flame recognition on the detail picture, after the flame is recognized, the communication module sends image data to the central service station. According to the system, the flame detection is divided into two levels of image contrast and deep analysis, the initial fire behavior can be accurately detected under limited computing resources, and the loss caused by the fire is reduced.

Description

technical field [0001] The invention relates to the technical field of forest fire detection, in particular to a computer vision-based forest fire detection and early warning system. Background technique [0002] Forest fire is the most dangerous enemy of the forest and the most terrible disaster of forestry. It will bring the most harmful and devastating consequences to the forest. Forest fire not only burns the forest, harms the animals in the forest, but also reduces the The ability to regenerate the soil causes the barrenness of the soil and destroys the role of forest water conservation, and even leads to an imbalance in the ecological environment. How to effectively identify the fire at the initial stage of the fire, so as to make early deployments for inactivation, and reduce the losses caused by fire? Problems facing fire warning systems. [0003] Many fire early warning systems have been developed. After a large number of searches and references, we found that 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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/20G08B17/00G08B17/12
CPCG08B17/005G08B17/125G06V20/188G06V20/40G06V10/22
Inventor 张卫平张浩宇张思琪李显阔
Owner GLOBALTOUR GROUP LTD
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