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Intelligent automatic control forest fire prevention monitoring system and method

A forest fire prevention and monitoring system technology, applied in forest fire alarms, fire alarms, climate change adaptation, etc. Practical effect

Pending Publication Date: 2020-05-12
重庆市海普软件产业有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to provide an intelligent self-control forest fire prevention monitoring system and method to solve the problem of low service life of the cloud platform in the prior art

Method used

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  • Intelligent automatic control forest fire prevention monitoring system and method
  • Intelligent automatic control forest fire prevention monitoring system and method

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] Such as figure 1 As shown, an intelligent self-control forest fire prevention monitoring system includes an image acquisition module, a processing module and a pan-tilt system, in which:

[0040] Image acquisition module for real-time acquisition of video data in the forest;

[0041] The processing module is used to receive and process the video data using the inter-frame difference method to generate image data; use the RGB color model to process the image data and extract the color features of the image data pixels. If the color feature is red, generate a fire alarm information;

[0042] The pan / tilt system includes a pan / tilt subsystem, a servo motor, and a pan / tilt controller. The pan / tilt subsystem is used to install and fix the image acquisition module; the servo motor is used to drive the pan / tilt subsystem to rotate; the pan / tilt controller is used to receive fire alarm information and generate The control signal controls the stop rotation of the PTZ subsystem.

[004...

Embodiment 2

[0051] Compared with the first embodiment, the only difference is that it also includes a database. The sample images and detection results are pre-stored in the database. The sample images are images of fire. The detection results are that the RGB color model is used to process the sample images. The processing module uses To extract the color feature of each pixel in the sample image, if the color feature is red, it is determined that there is a fire alarm information, and the detection result is generated; the processing module is also used to iteratively train the convolutional neural network according to the sample image and the detection result, Obtain a successfully trained convolutional neural network model; then input the acquired image data into the successfully trained convolutional neural network model, and extract the image data from the convolutional layer of the convolutional neural network model. If the convolutional neural network determines the image The data c...

Embodiment 3

[0063] Compared with Embodiment 1, the only difference is that the method of judging fire smoke is:

[0064] S1. The image acquisition module obtains the video data in the forest in real time; and uses the inter-frame difference method to process the video data to generate image data; the interval between the two frames of images is 3 seconds, of course, it can also be other intervals, in other implementations In the example, the interval between two frames of images can be from 0.01 to 10 seconds (mainly considering the slow diffusion speed of smoke and fog. If the interval is selected to be shorter, the difference will be small, resulting in a huge amount of calculation, or there is More invalid operations);

[0065] S2. Convert the components of the image data in the RGB color space to the HSV color space; and determine the smoke area according to the HSV color characteristics of the pixels in the image data; that is, if the HSV components of the pixels in the image data meet th...

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Abstract

The invention relates to the technical field of forest fire prevention, in particular to an intelligent automatic control forest fire prevention monitoring system and method, and the system comprisesan image acquisition module, a processing module and a holder system. The image acquisition module is used for acquiring video data in a forest in real time; the processing module is used for receiving and processing the video data and generating image data, extracting color features of pixel points of the image data, and generating fire alarm information if the color features are red; the holdersystem comprises a holder subsystem, a servo motor and a holder controller, and the holder subsystem is used for installing and fixing the image acquisition module; the servo motor is used for drivingthe holder subsystem to rotate; and the holder controller is in communication connection with the processing module and is used for generating a control signal after receiving the fire alarm information and controlling the servo motor to stop rotating. The problem that a holder in the prior art is short in service life is solved.

Description

Technical field [0001] The invention relates to the technical field of forest fire prevention, in particular to an intelligent automatic control forest fire prevention monitoring system and method. Background technique [0002] Green water and green mountains are golden and silver mountains. Forests are precious wealth of mankind. For villagers who rely on mountains and eat mountains, forests are particularly important, because forests are their "rice bowls" and their "green banks". Once a forest fire occurs, it will not only threaten the safety of local people's lives and property; due to the difficulty of extinguishing, the firefighters involved in the fire will also face the test of life and death. Therefore, in order to avoid the occurrence of forest fires, the flammable points in the forest must be controlled in real time, and the flames must be stifled in the cradle. [0003] In response to this situation, the Chinese Patent Publication No. CN109767591A discloses a forest fi...

Claims

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Application Information

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IPC IPC(8): G06T7/90G06T7/20G06N3/04G08B17/12G08B17/00
CPCG06T7/90G06T7/20G08B17/005G08B17/125G06T2207/10016G06T2207/20084G06N3/045Y02A40/28
Inventor 陈秀祥
Owner 重庆市海普软件产业有限公司
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