Technology is constantly advancing and more and more techniques are being applied to forest fire monitoring systems, such as thermal imaging and smoke detection technology, greatly improving the efficiency of forest fire prevention, saving manpower costs, and reducing personnel risks.
It is composed of a front-end long-distance infrared thermal imaging system, a visible light through fog and haze pan-tilt camera, an intelligent image processing system, a transmission system, and a backend monitoring center. The infrared thermal imaging video camera is set up according to the range of the monitoring area, and is installed on the pan-tilt, which can be controlled by the control center. The video signal and control signal are transmitted to the control center via wireless (wireless bridge) or wired (fiber or wired network) after being encoded by the video server, and the video image and alarm monitoring information are displayed in real time in the monitoring center. Once a fire is detected, the control center can send control signals to the front-end camera to track the target, and based on the situation, the control center can make an analysis and issue command to the patrol personnel.
Automatic Smoke and Fire Detection: The intelligent image processor can use smoke and fire recognition algorithms to automatically detect fires in the monitoring area, and detect visible and invisible fires in the first time. The detection result is transmitted to the control center through the network transmission system. After the disaster, hidden fires can also be monitored to see if they are completely extinguished.
Real-time Video Monitoring System: The thermal imaging video camera realizes real-time video monitoring of the monitoring area, and the display terminal in the monitoring center can display the real-time situation in the front-end.
Pan-tilt Control: The intelligent image processor can control the camera to rotate 360 degrees to monitor the monitoring area from multiple angles.
Video Recording System: The system administrator can specify the frame rate, encoding quality, recording space size, and recording triggering mode for the recording channel as needed, and the system can automatically manage disk space to perform recording tasks.
Map Orientation Marking: The front-end intelligent image processor installs the precise location and can roughly indicate the direction and point of the fire when a fire occurs.
Log Information: The running log generated by the front-end intelligent image processor is sent to the monitoring center server. The log information can be displayed in real-time on the server and alarm can be given according to the configured requirements. Users can query the historical records and video recordings of the logs according to the input conditions.
Expansion Function and System Integration: In the design of the intelligent forest fire analysis system, modularity and flexibility are fully considered.
The application of thermal imaging technology in forest fire monitoring systems can accurately identify smoke and fire and, when combined with backend analytical algorithms, achieve twice the result with half the effort.
