Construction method of fire detection model, fire detection method and related equipment

Abstract

This application is applicable to the field of artificial intelligence technology, and provides a construction method of a fire detection model, a fire detection method and related equipment. The construction method of a fire detection model includes: obtaining parameters to be optimized and test samples, and the test samples include environmental information and environmental information Corresponding fire information; execute the iterative step, the iterative step includes: generate the model to be optimized according to the parameters to be optimized, input the environmental information into the model to be optimized, and calculate the iteration according to the output result of the model to be optimized, the fire information corresponding to the environmental information and the crow search algorithm Parameters; the iterative parameters are used as new parameters to be optimized, and the iterative steps are cyclically executed until the preset iterative conditions are met, and the iterative parameters that meet the iterative conditions are taken as the optimal parameters, and the fire detection model is generated according to the optimal parameters. The fire detection model constructed can improve the efficiency and accuracy of fire detection.

Description

technical field [0001] The application belongs to the technical field of artificial intelligence, and in particular relates to a construction method of a fire detection model, a fire detection method and related equipment. Background technique [0002] Today, with the rapid economic development and urbanization process in our country, the architectural pattern shows the characteristics of densification and high-rise, and the population density is gradually increasing, thus increasing the hidden danger of fire. [0003] Most of the existing fire detection methods use sensors for detection, and the use of fewer sensors can improve the calculation efficiency of the algorithm. However, in the actual detection process, due to the interference of the environment, the detection signal of the sensor is unstable, resulting in a decrease in detection accuracy, which is easy Occurrence of missed or false positives, so that the fire cannot be accurately predicted. Increasing the types ...

AI Technical Summary

Problems solved by technology

[0003] Most of the existing fire detection methods use sensors for detection, and the use of fewer sensors can improve the calculation efficiency of the algorithm. However, in the actual detection process, due to the interference of the environment, the detection signal of the sensor is unstable, resulting in a decrease in detection accuracy, which is easy Occurrence of missed or false positives, resulting in inaccurate fire predictions

Increasing the types of sensors can improve the accuracy of detection, but it leads to a decrease in detection efficiency

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