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

An analysis method and artificial intelligence technology, applied in the field of artificial intelligence, can solve problems such as changing landforms, failure to maintain ecological balance, and loss of balance in forest ecosystems, and achieve the effect of saving manpower and material resources

Pending Publication Date: 2022-07-15
NANJING FORESTRY UNIV
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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

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

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Embodiment 1

[0062] Embodiment 1: A method for monitoring and analyzing forest fire danger status based on artificial intelligence. The specific steps of the method for monitoring and analyzing fire danger status include:

[0063] Step 1: Collect forest wind data, which includes forest wind direction, forest wind speed and forest atmospheric pressure;

[0064] Step 2: Normalize the forest atmospheric pressure, and output the normalized value of the forest atmospheric pressure;

[0065] Step 3: Build a forest wind prediction model based on LSTM, input the wind direction of the forest wind, the wind speed of the forest wind and the normalized value of the forest atmospheric pressure, train the model, output the forest wind prediction model with the highest mAP value, and predict the forest wind through the forest wind prediction model. wind speed and forest wind direction;

[0066] When a forest fire occurs, it is greatly affected by the current wind speed and direction. Especially in the i...

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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...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/26G01L11/00G01P5/00G01P13/02G06N3/08
CPCG06Q10/04G06Q50/26G06N3/08G01P5/00G01P13/02G01L11/00
Inventor 高德民牟韵洁管志浩
Owner NANJING FORESTRY UNIV
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