Forest ground surface fine dead combustible matter moisture content prediction method and device, electronic equipment and storage medium

Abstract

The invention provides a forest surface fine dead combustible moisture content prediction method and device, electronic equipment and a storage medium, and belongs to the technical field of forest surface fine dead combustible moisture content prediction. The method comprises the following steps: firstly, acquiring meteorological factors and near-infrared spectrum characteristic data of an area where forest surface small dead combustible materials are located, and establishing an in-forest meteorological factor database and an in-forest near-infrared spectrum database; secondly, performing decision-level information fusion on the meteorological factors and the near infrared spectrum characteristic data to obtain a meteorological-spectrum fusion data set of the forest surface fine dead combustible materials in the same time sequence; thirdly, constructing a forest ground surface small dead combustible matter moisture content prediction model; and finally inputting the data into the prediction model, and outputting a prediction result. According to the method, the prediction accuracy of the moisture content of the forest surface fine dead combustible is effectively improved, accurate prediction data is provided for forest fire danger grade prediction, and the technical problem that the prediction accuracy of the moisture content of the forest surface fine dead combustible is not high is solved.

Description

technical field [0001] The application relates to a method for predicting the moisture content of combustibles, in particular to a method for predicting the moisture content of small dead combustibles on the forest surface, a prediction device, electronic equipment, and a storage medium, and belongs to the technical field of predicting the moisture content of small dead combustibles on the forest surface. Background technique [0002] Combustibles, oxygen and fire source are the three basic elements for the occurrence of forest fires. Among them, forest combustibles can be divided into underground combustibles, surface combustibles and aerial combustibles. Surface dead combustibles refer to the general term of dead plants on the surface, including dead branches, dead trees, and harvesting residues, etc., which are divided into combustibles with time lags of 1, 10, 100, and 1000 hours according to different time lags. Among them, the fine dead combustibles on the surface hav...

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Problems solved by technology

[0017] To sum up, in the field of forest surface fine dead fuel moisture content prediction, there are the following problems to be solved: In the meteorological element regression method, the meteorological data collection is limited to the single-point prediction of the meteorological observation station, how to realize it based on the meteorological element regression method The prediction of the moisture content of distributed forest surface fine dead combustibles needs to be studied; water has obvious absorption effect on infrared spectrum, whether it is possible to achieve forest surface fine dead combustibles through the fusion of meteorological factors and multi-source information data of infrared spectral data. The comprehensive prediction of the external environment of the object and its own characteristic information provides a richer data set to improve the accuracy of the prediction; Rarely reported, therefore, whether the information fusion prediction of the moisture content of forest surface fine dead combustibles can be realized based on the deep learning method, so as to provide strong support for further improving the accuracy of forest fire danger level forecast and forest fire spread trend

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