Forest fire danger state monitoring and analyzing system and method based on artificial intelligence

Abstract

The invention discloses a forest fire danger state monitoring and analyzing system and method based on artificial intelligence, and belongs to the technical field of artificial intelligence. The method comprises the following steps: constructing a forest wind prediction model, predicting the wind speed and the wind direction of forest wind through the forest wind prediction model, dividing a forest into checkerboards according to the detection range of forest fire monitoring equipment, calculating the forest combustion-supporting substance content of a single checkerboard according to the vegetation distribution of the forest, and establishing a forest fire spreading speed calculation model. Different checkerboards are simulated as fire outbreak points, the fire spreading process is simulated, and a forest fire key monitoring area is found; predicting the wind power data of the forest through a time sequence prediction algorithm, and guaranteeing the specific reference value of the fire propagation simulation data; a forest fire spreading speed calculation model is established, forest fire simulation is further achieved, the key point of forest fire detection is found through forest fire simulation, manpower and material resources are saved, and fire hazard key areas are effectively checked.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a forest fire danger state monitoring and analysis system and method based on artificial intelligence. Background technique [0002] Forests are the lungs of the earth. Forests are ecosystems composed of plant communities, animals living in forests, and abiotic environments in their spaces. Forests have a long life cycle and succession series. Forests have high productivity, multiple uses and great benefits. However, forest fires that are out of human control will seriously damage the trees and forest environment that have been accumulated in the forest for many years, resulting in the loss of balance of the forest ecosystem, destroying the performance of the forest soil, and changing the landform. The damage of forest fires to the ecology is the most direct. , is also the most catastrophic; a large number of plants are burned, which will cause adverse effects suc...

AI Technical Summary

Problems solved by technology

[0002] The forest is the lung of the earth. The forest is an ecosystem composed of plant communities, animals living in the forest and the abiotic environment in the space. The life cycle of the forest is long and the succession series is long. The productivity of the forest is high, and the multi-purpose benefits are great. However, forest fires that are out of human control will seriously damage the forests that have been accumulated for many years and the forest environment, causing the forest ecosystem to lose balance, destroying the performance of forest soil, and changing the landform. Forest fires are the most direct damage to ecology , is also the most disastrous; a large number of plants are burned, which will cause adverse effects such as soil erosion and desertification, and may eventually fail to maintain ecological balance;

[0003] There are many factors in the spread of forest fires, which are closely related to weather, terrain, and types of forest fuels. When fires break out in different areas of the forest, the time for rescue teams to arrive after discovering them is also different. That is to say, forest fires Once it happens, the difficulty of the rescue team's rescue is also different, but the existing fire monitoring is full-coverage, limited to the large forest area and shaded by trees, it is difficult to cover the entire area and requires a lot of manpower How to find the focus of forest fire monitoring in different environments is a problem that we need to solve urgently

Images