Fire index prediction method and device, readable storage medium and electronic equipment

Abstract

The invention relates to a fire index prediction method and device, a readable storage medium and electronic equipment. The method comprises the following steps: acquiring data of various fire disaster causing factors at the current moment; Generating a first feature map corresponding to the plurality of fire disaster causing factors at the current moment according to the data of the plurality offire disaster causing factors at the current moment; Performing Fourier transform on the data of the plurality of fire disaster-causing factors at the current moment; Generating a second feature map corresponding to a plurality of fire disaster-causing factors at the current moment according to the data obtained after conversion at the current moment; According to the first feature map and the second feature map, generating a target feature map corresponding to various fire disaster-causing factors at the current moment; And inputting the target feature map into a prediction model corresponding to the fire index to obtain a predicted value of the fire index. Therefore, recognition of the image features by the prediction model corresponding to the fire index is facilitated, so that the fireindex prediction accuracy is improved, and the probability of fire occurrence and the loss caused by the fire are reduced to the maximum extent.

Description

technical field [0001] The present disclosure relates to the field of fire monitoring, in particular to a fire index prediction method, device, readable storage medium and electronic equipment. Background technique [0002] Forest fire has become an environmental problem that has attracted much attention. It will not only cause huge economic losses and serious ecological damage, but also have a catastrophic impact on human life. Forest fires occur for a variety of reasons (e.g. human negligence and lightning), and millions of hectares of forests die each year around the world, despite huge spending by an increasing number of countries to contain the disaster. [0003] In recent years, rapid detection has gradually become a key factor in predicting fires. However, due to the high cost of traditional monitoring and the greater influence of subjective factors, people have gradually paid attention to and developed automated solutions. Therefore, how to use various technical mea...

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Problems solved by technology

[0003] In recent years, rapid detection has gradually become a key element in predicting fires. However, due to the high cost of traditio

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