Unmanned aerial vehicle forest fire prevention monitoring system based on remote monitoring

Abstract

The invention discloses an unmanned aerial vehicle forest fire prevention monitoring system based on remote monitoring, relates to intelligent security engineering, and solves the problems of incomplete coverage of forest mobile signals, unstable mobile communication and untimely data processing in the prior art. The unmanned aerial vehicle sends an attitude signal of the unmanned aerial vehicle and a collected video signal to the ground station, the ground station forwards the attitude signal to the track conversion device, and the video signal is forwarded to the video collection device; the video acquisition device converts the video signal into a video digital signal and transmits the video digital signal to the video server; the video server configures video live broadcast modes of HLS and RTMP; the flight path conversion device analyzes the attitude signal to obtain flight path data, and the data server receives the flight path data and adds the flight path data to a flight path record of the target task; real-time receiving and processing of data are realized, synchronous image processing is carried out through a fire hazard model based on a neural network, and real-time and reliable forest region information is provided for operators on duty in a forest region.

Description

technical field [0001] This application relates to the technical field of intelligent security engineering, and in particular to an unmanned aerial vehicle forest fire prevention system based on remote monitoring. Background technique [0002] There are two main communication methods for UAVs in my country, one is to rely on data links for communication, and the other is to rely on 4G mobile signals for communication. The advantage of relying on 4G mobile signals for communication is that the position of the drone and the image information captured by the mobile signal can be remotely and synchronously monitored in different places, but the transmission of the 4G signal is unstable, and the flying altitude of the drone is too high to lose the 4G signal. Moreover, the security of transmitted data cannot be guaranteed. In industrial fields involving aerial survey of land and resources, detailed investigation of land and resources, 4G mobile signal communication is not often us...

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides an unmanned aerial vehicle forest fire monitoring system based on remote monitoring, which solves the problem of incomplete mobile signal coverage in forest areas, unstable mobile communication, and data that cannot be transmitted back to the server and command hall in real time in the prior art, resulting in The problem of not being able to technically process the data in a timely manner has realized real-time data reception and processing, and can replace manual in-depth inspections of areas where manpower is inconvenient. The reliable and stable communication between the UAV and the ground station will be carried out through the data link. The results of daily inspections are transmitted to the data monitoring hall in real time, and the fire model based on the neural network is used for synchronous image processing to provide real-time and reliable forest area information for forestry personnel on duty

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