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Dynamic data driven forest fire spreading prediction method

A forest fire spread and prediction method technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of difficult genetic algorithm coding process, poor local search ability, etc., to achieve easy writing, debugging and maintenance, Improve accuracy, implement simple and efficient effects

Inactive Publication Date: 2018-11-06
UNIV OF SCI & TECH OF CHINA
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Problems solved by technology

However, the coding process of the genetic algorithm is difficult and the local search ability is poor.

Method used

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  • Dynamic data driven forest fire spreading prediction method
  • Dynamic data driven forest fire spreading prediction method
  • Dynamic data driven forest fire spreading prediction method

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Embodiment Construction

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0022] Embodiments of the present invention provide a dynamic data-driven forest fire spread prediction method, such as figure 1 As shown, it mainly includes the following steps:

[0023] Step P1. Acquire thermal infrared images of forest fires with time and spatial location information.

[0024] In the embodiment of the present invention, it is possible to use an airborne thermal infrared imager to capture thermal infrared video images of the ent...

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Abstract

The invention discloses a dynamic data driven forest fire spreading prediction method. A disturbance generation set is applied to the position of a live wire; forward prediction of the set is achievedthrough FARSITE software; an Ensemble Kalman Filter algorithm is used for carrying out dynamic correction on a prediction result by integrating observation data, so that the accuracy of simulation and prediction of FARSITE forest fire spreading software is improved. At the same time, the Ensemble Kalman Filter algorithm calculates a prediction error covariance of the state through a Monte-Carlo method; the problem of difficulty in estimating and forecasting a background error covariance matrix in the practical application is solved with the idea of the set, thus program codes can be compiled,debugged and maintained easily, and the program codes can be calculated in parallel; and the method is simple and efficient in implementation.

Description

technical field [0001] The invention relates to the field of forest fire spread simulation prediction, in particular to a dynamic data-driven forest fire spread prediction method. Background technique [0002] Forest fire is a kind of forest fire behavior that is out of human control and spreads and expands freely in the forest land. It has the characteristics of large burned area, difficult fire fighting and serious impact on the ecological environment. Accurate prediction of the temporal and spatial spread of fire is the premise and key to timely control of forest fires, accurate fire fighting and reduction of disaster losses. [0003] The spread and spread of forest fires is a complex fire evolution process controlled by multiple environmental factors and across regional scales. At present, most rely on the method of computer simulation to predict the development of fire. Existing forest fire spread models can be divided into three categories: physical / physics-like mode...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/367
Inventor 张启兴张永明钱兰
Owner UNIV OF SCI & TECH OF CHINA
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