Fire alarm method and device, storage medium and terminal device

Abstract

The invention relates to the technical field of data processing, in particular to a fire alarm method and device, a storage medium and a terminal device. The method comprises the steps of obtaining environment monitoring data of a fire occurrence place; inputting the environment monitoring data into the trained machine learning model to obtain a first fire behavior analysis result output by the machine learning model; inputting the environment monitoring data into a preset fuzzy comprehensive evaluation model to obtain a second fire behavior analysis result output by the fuzzy comprehensive evaluation model; performing result fusion on the first fire behavior analysis result and the second fire behavior analysis result by utilizing an evidence theory to obtain a fire behavior level corresponding to the environment monitoring data; determining an alarm mode corresponding to a fire level according to an evidence theory, performing fire alarm according to the alarm mode, performing fire analysis by simultaneously utilizing a machine learning model and a fuzzy comprehensive evaluation model, and performing result fusion by utilizing the evidence theory, thereby accurately and efficiently determining the fire level, and determining the corresponding alarm mode to perform fire alarm.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a fire alarm method, device, computer-readable storage medium and terminal equipment. Background technique [0002] Existing fire alarm systems often can only provide simple warning signals, such as the same alarm bells for fires with different degrees of danger, making it difficult for relevant personnel in fire fighting and rescue operations to understand the true degree of danger of the fire, and there is no way to follow these simple warnings. Signals make correct and timely rescue arrangements, which affect the implementation efficiency of disaster relief operations. At the same time, when a fire occurs, if it is necessary to assess the degree of fire danger, it is often necessary for relevant personnel to judge the fire at the fire site. Judgment results are highly subjective and may pose a threat to personnel safety. [0003] To sum up, how to accurately j...

AI Technical Summary

Problems solved by technology

[0002] Existing fire alarm systems often can only provide simple warning signals, such as the same alarm bells for fires with different degrees of danger, making it difficult for relevant personnel in fire fighting and rescue operations to understand the true degree of danger of the fire, and there is no way to follow these simple warnings. Signals make correct and timely rescue arrangements, which affect the implementation efficiency of disaster relief operations. At the same time, when a fire occurs, if it is necessary to assess the degree of fire danger, it is often necessary for relevant personnel to judge the fire at the fire site. Judgment results are highly subjective and may pose a threat to the safety of personnel

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