Straw incineration monitoring method and system based on target detection technology

Abstract

The invention relates to a straw burning monitoring method and system based on a target detection technology, and the method comprises the following steps: building a smoke and fire data set and a straw data set, and carrying out the data enhancement; determining whether smoke and fire or straw exists in the images in the data set or not, and marking specific positions of the smoke and fire or straw; respectively training a smoke and fire detection model and a straw detection model by using a target detection algorithm, and forming a final straw incineration detection model through model fusion; and detecting a specified image by using the fused straw detection model, determining whether a straw burning phenomenon exists in the image, and positioning the positions of the straw burning phenomenon and the image. The system realizes real-time monitoring and early warning of the straw burning phenomenon in a key area by deploying and jointly calling four functional modules including a front end, a network transmission module, an image processing center module and a monitoring platform. According to the straw incineration monitoring method and system, the straw incineration phenomenon is effectively monitored, the monitoring timeliness is better, and the accuracy is higher.

Description

technical field [0001] The invention relates to the interdisciplinary research fields of computer vision, deep learning and environmental protection, in particular to a straw burning monitoring method and system based on target detection technology. Background technique [0002] There are three main monitoring methods for straw burning: manual monitoring, sensor-based monitoring, and monitoring based on satellite remote sensing or drones. However, the above three methods have their own disadvantages. [0003] The manual monitoring method consumes a lot of human resources, and requires personnel to regularly inspect the set areas, which is inefficient and time-sensitive. Inspection personnel sometimes need to be responsible for a large control area, and sometimes it takes a long time to complete a round of inspection. Sometimes when straw is found to be burned, it may have been burned for a long time, or it may have been burned, so it is difficult to achieve the purpose of r...

AI Technical Summary

Problems solved by technology

[0003] The manual monitoring method consumes a lot of human resources, and requires personnel to regularly inspect the set area, the monitoring efficiency is low, and the timeliness is poor

Inspection personnel sometimes need to be responsible for a large control area, and sometimes it takes a long time to complete a round of inspection. Sometimes when straw is found to be incinerated, it may have been incinerated for a long time, or it may have been incinerated, so it is difficult to achieve the purpose of real-time control

[0004] When using sensor-based monitoring methods, there are technical limitations such as distance barriers, poor timeliness, and the purpose of early warning cannot be achieved

[0005] When the monitoring method based on satellite remote sensing or UAV is adopted, the images collected by satellite remote sensing or UAV are easily disturbed by environmental factors, etc., the processing of remote sensing images is not intelligent enough, and the real-time performance is poor

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