Forest fire prediction and forecasting system

Abstract

The invention belongs to the field of fire alarm technologies, and discloses a forest fire prediction and forecasting system. The forest fire prediction and forecasting system comprises a control tower, an unmanned aerial vehicle, a control room host and monitoring stations, and is characterized by further comprising a signal composite, an operational amplifier, a high-voltage circuit, a violet-ray tube, a time base, monitored objects, a monitoring point 1, a monitoring point 2 and GPRS. The control room host transmits a control signal to the control tower through the GPRS and controls the unmanned aerial vehicle. The unmanned aerial vehicle arrives at the monitoring stations, and transmits various kinds of information to an information center via the GPRS through analyzing the monitored objects at the monitoring point 1 and the monitoring point 2. In key regions, flame sensor are installed for detection fire, once a fire is detected, the fire extinguishing unmanned aerial vehicle performs fire extinguishment autonomously, and can further monitor forest growth technical indexes such as soil humidity. The forest fire prediction and forecasting system can record on-site personnel condition in real time, and provides powerful evidence for illegal and criminal activities such as illegal felling, illegal felling and arson.

Description

technical field [0001] The invention relates to a forecasting and forecasting system, in particular to a forest fire danger forecasting and forecasting system, which belongs to the technical field of fire danger alarming. Background technique [0002] On May 29, 2014, a forest fire broke out in Likoushan National Forest Park in our city. The line of fire once spread up to 7 kilometers. Similar to the forest fire, it seriously threatened the safety and health of the general public and caused major economic losses. The existing forest The fire prevention system mainly uses special cameras to analyze forest farm image information, infrared heat source detection and other schemes. All of the above schemes have defects such as being unable to detect open flames at the first time and unable to control the fire source. This project develops a fire source that can effectively monitor Discriminate, and at the same time organize drones to carry out fire fighting operations as soon as ...

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Problems solved by technology

[0002] On May 29, 2014, a forest fire broke out in Likoushan National Forest Park in our city. The line of fire once spread up to 7 kilometers. Similar to the forest fire, it seriously threatened the safety and health of the general public and caused major economic losses. The existing forest The fire prevention system mainly uses special cameras to analyze forest farm image information, infrared heat source detection and other schemes. All of the above schemes have defects such as being unable to detect open flames at the first time and unable to control the fire source. This project develops a fire source that can effectively monitor Discriminate, and at the same time organize drones to carry out fire fighting operations at the first time, so as to minimize the losses caused by fire

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