Forest fire alarming method based on fire danger rating forecast

Abstract

The invention discloses a forest fire alarming method based on fire danger rating forecast. According to the forest fire alarming method, first-level data collection and fusion node clusters, second-level fire danger information collection and broadcast node clusters, third-level auxiliary positioning node clusters, a communication gateway, a database, a GIS (geographic information system) monitoring control platform and a firefighting helmet are arranged, wherein the first-level data collection and fusion node clusters, the second-level fire danger information collection and broadcast node clusters and the third-level auxiliary positioning node clusters are connected with the database and the GIS monitoring control platform via the communication gateway, and the firefighting helmet is provided with a positioning structure and a communication structure. The forest fire alarming method has the advantages that a system is simple in structure, convenient to use and lower in system energy consumption; fire source position information can be judged precisely, a fire danger forecasting function can be strengthened, decision-making ability and scheduling efficiency of a firefighting commander can be improved effectively by the aid of the firefighting helmet, and the forest fire alarming method is high in applicability and practicability.

Description

technical field [0001] The invention belongs to the technical field of forest fire early warning, and in particular relates to a forest fire early warning method based on fire danger level forecast. Background technique [0002] Forest plays an important role in the national economy. It can not only provide timber and forest by-products needed for national construction and people's life, but also shoulder the responsibility of releasing oxygen, regulating climate, conserving water sources, maintaining water and soil, preventing wind and sand, beautifying the environment, and purifying the air. , noise reduction and tourism health care and other missions. At the same time, forests are also an important condition for stable and high yields of agriculture and animal husbandry. [0003] The occurrence of forest fires is the result of an extremely complex interaction between natural factors and human factors, which involves the type and distribution of tree species, the distribu...

AI Technical Summary

Problems solved by technology

However, there are still some limitations that affect its monitoring effect

For example, satellite remote sensing images cannot implement all-weather and full-time monitoring of the same area. Due to the influence of factors such as weather and satellite off-track, the accuracy of fire point positioning is low, so that there are errors in judgment during monitoring.

These shortcomings have reduced the monitoring effect of "3S" technology in forest fires

The cost of aircraft patrol monitoring is too high. Although manual inspection and watchtower methods are simple and easy to implement, they need to invest a lot of financial, material and labor resources. There are many problems such as subjective paralysis of fire prevention personnel, unauthorized departure from posts, inability to monitor in real time, and limited coverage. unfavorable factors

[0005] Patent CN 103702444 B proposes a sensor network-based monitoring solution, but its sensor network has a large data flow, high battery energy consumption, and high sensor false alarm rate in the field environment, which requires manual verification and limited use stability