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Forest fire danger grade determination method and system based on one-class SVM

A judging method and judging system technology, applied in the direction of forest fire alarms, fire alarms, instruments, etc., can solve the problems that the accuracy of forest fire risk prediction cannot be met, so as to overcome the problem of category imbalance and improve the accuracy degree of effect

Active Publication Date: 2017-08-22
上海事凡物联网科技有限公司
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AI Technical Summary

Problems solved by technology

Therefore, the existing forest fire risk prediction methods cannot meet the requirements for the accuracy of forest fire risk prediction

Method used

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  • Forest fire danger grade determination method and system based on one-class SVM
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  • Forest fire danger grade determination method and system based on one-class SVM

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Embodiment Construction

[0044] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0045] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the compo...

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Abstract

The invention provides a forest fire danger grade determination method and a forest fire danger grade determination system based on a one-class SVM. The forest fire danger grade determination method comprises the steps of: regarding a day as a sample unit, and selecting samples suffering fire disasters as modeling samples according to fire data; acquiring meteorological factors corresponding to the modeling samples; constructing a one-class SVM model based on the meteorological factors corresponding to the modeling samples; constructing a forest fire danger occurrence probability model, namely, mapping a value-taking interval of distances from the samples output by the one-class SVM model intermediately to a sphere center of a hypersphere in the one-class SVM model to [0, 1], and taking a mapping result as a forest fire danger occurrence probability; and calculating a forest fire danger occurrence probability of a sample to be detected, and determining a forest fire danger grade according to the forest fire danger occurrence probability of the sample to be detected. The forest fire danger grade determination method and the forest fire danger grade determination system based on the one-class SVM effectively overcome the problem of class imbalance due to concentration of the forest fire samples, and improve the accuracy degree of forest fire danger determination.

Description

technical field [0001] The present invention relates to a level determination method and system, in particular to a forest fire risk level determination method and system based on single classification SVM. Background technique [0002] Forest fire is a natural disaster that is sudden, destructive, and difficult to deal with and rescue. Its high destructiveness determines the importance of forest fire prevention and control. Therefore, how to scientifically and effectively carry out early warning and forecasting of forest fires, and minimize the occurrence of forest fires and the losses caused by forest fires has always been a matter of great concern to my country's forestry departments and scientific research departments. [0003] Forest fire risk is a measure of the likelihood of a forest fire occurring and how easy it is to spread. The occurrence and development of forest fires are closely related to meteorological conditions. Therefore, the development of forest fire r...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08B17/00G08B31/00G06K9/62
CPCG08B17/005G08B31/00G06F18/2411
Inventor 宋林森王宏伟
Owner 上海事凡物联网科技有限公司
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