Live wire latitude and longitude prediction algorithm for forest fire

Abstract

The invention discloses a fire line latitude and longitude prediction algorithm for forest fire, and the algorithm comprises the steps: obtaining the latitude and longitude coordinates of a fire line boundary point at a current t moment, and calculating the latitude and longitude coordinates of a fire center point; roughly speculating the coordinates of the boundary points at the t + 1 moment and the t + 5 moment according to the combustion speed of the flame in the forest fire being 0.1 m / s-0. 7m / s and the outward expansion of each boundary point along the normal direction; lastly, respectively extracting longitude coordinates and latitude coordinates at three moments; based on the longitude coordinates and the latitude coordinates of the live line boundary points at the three moments, adopting a linear regression live line prediction model to predict the longitude coordinates and the latitude coordinates of the live line boundary points at the moments t + 5, t + 10 and t + 30; and enabling the longitude coordinates and the latitude coordinates at the prediction moment to be in one-to-one correspondence to obtain actual longitude and latitude coordinates of a prediction result. The system can help workers to predict real-time fire conditions. Through real-time rapid analysis of forest fire, the fire can be effectively processed, and life and property loss caused by the fire is reduced.

Description

technical field [0001] The invention relates to a fire line longitude and latitude prediction algorithm for forest fires. Background technique [0002] Forest fire is the most dangerous enemy of the forest, and it is also the most terrible disaster. It will bring the most serious and devastating consequences to the forest. Forest fires not only burnt large areas of forest and harmed animals in the forest, but also caused soil barrenness, damaged forest water conservation, and even caused the ecological environment to lose balance. Therefore, it is necessary to accurately predict the fire situation and understand the real-time situation of the fire situation and the combustion range in order to effectively control the fire situation. [0003] In statistics, linear regression is a type of regression analysis that models the relationship between one or more independent and dependent variables using the least squares function known as the linear regression equation. Such funct...

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Problems solved by technology

[0005] In the prior art, after a forest fire breaks out, the trend of fire development cannot be predicted in time, and it is not convenient to control the fire in time and reduce losses

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