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Forest fire risk grade prediction method and device based on multiple factors, and storage medium

A risk level and multi-factor technology, applied in the field of forest fire prevention, can solve the problems of inconvenient application and large computing power consumption, achieve accurate results, and overcome the inconvenient and inaccurate effects of predicting forest fire risks

Pending Publication Date: 2022-03-22
深圳数研锦瀚智慧科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, based on this method, a mathematical model needs to be trained to calculate the fire risk level, and the training of the mathematical model requires a lot of computing power. If a new influencing factor is to be added, the mathematical model needs to be retrained. For practical applications very inconvenient

Method used

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  • Forest fire risk grade prediction method and device based on multiple factors, and storage medium
  • Forest fire risk grade prediction method and device based on multiple factors, and storage medium
  • Forest fire risk grade prediction method and device based on multiple factors, and storage medium

Examples

Experimental program
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Effect test

Embodiment 1

[0026] see figure 1 , figure 1 It is a schematic flow chart of an embodiment of the forest fire risk level prediction method based on multi-factors in the present invention. Such as figure 1 As shown, the forecasting method includes the following steps:

[0027] S11: Divide the forest area to be measured into multiple GIS grids, and obtain the value of each forest fire impact factor of each GIS grid. The forest fire impact factors include seven categories: meteorological impact factors, landform and terrain impact factors , Vegetation impact factors, human activity impact factors, inspection information impact factors, emergency water source impact factors, historical fire impact factors;

[0028] S12: Based on the value of each forest fire impact factor, obtain the forest fire risk value corresponding to each forest fire impact factor;

[0029] Specifically, input the value of each forest fire impact factor into a predetermined algorithm formula or empirical formula to ob...

Embodiment 2

[0058] see Figure 5 , Figure 5 It is a structural schematic diagram of an embodiment of the forest fire risk level prediction device based on multi-factors in the present invention. Such as Figure 5 As shown, the device includes:

[0059] The forest fire impact factor value acquisition module 51 is used to divide the forest area to be measured into multiple GIS grids, and obtain the value of each forest fire impact factor of each GIS grid. The forest fire impact factors include seven categories: Meteorological influence factors, topography influence factors, vegetation influence factors, human activity influence factors, inspection information influence factors, emergency water source influence factors, and historical fire influence factors.

[0060] The forest fire impact factor risk acquisition module 52 is configured to acquire the forest fire risk value corresponding to each forest fire impact factor based on the value of each forest fire impact factor.

[0061] The...

Embodiment 3

[0065] The present invention provides a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to make a computer execute the method described in Embodiment 1.

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Abstract

The invention discloses a forest fire risk grade prediction method and device based on multiple factors and a storage medium, and the method comprises the steps: dividing a to-be-measured forest region into a plurality of GIS grids, obtaining the value of each forest fire influence factor of each GIS grid, and enabling the forest fire influence factors to comprise seven types; based on the numerical value of each forest fire influence factor, obtaining a forest fire risk numerical value corresponding to each forest fire influence factor; obtaining a weight corresponding to each forest fire influence factor; and inputting the forest fire risk value corresponding to each forest fire influence factor of each GIS grid and the weight into a weighted calculation formula to obtain a forest fire risk value of each GIS grid, and generating a forest fire risk level of each GIS grid based on the forest fire risk value. According to the method, the forest fire risk value of the to-be-measured forest region can be accurately calculated, so that a user can conveniently know the forest fire risk condition of the to-be-measured forest region, and the fire in the forest region can be prevented in advance.

Description

technical field [0001] The invention relates to the technical field of forest fire prevention, in particular to a multi-factor-based forest fire risk level prediction method, device and storage medium. Background technique [0002] Forest fire is one of the natural disasters that threaten forest resources the most. Once a forest fire occurs, it will not only cause serious losses to forestry resources, but also lead to the destruction of the regional forestry ecological environment, causing degradation of forest ecosystems and other issues, and will also pose a great threat to the safety of life and property of people in forest areas. Therefore, protecting forest resources and preventing forest fires is one of the core tasks of forestry work. [0003] At present, the prediction of forest fire risk level is mainly based on the stacking algorithm. However, this method designs the processing technology of massive spatio-temporal data, realizes data-driven modeling, and then pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06F16/29G06Q50/26
CPCG06Q10/0635G06Q50/26G06F16/29
Inventor 郑能欢
Owner 深圳数研锦瀚智慧科技有限公司
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