Non-contact acoustic emission detection method for safety state of fire scene building structure

Abstract

The invention provides a non-contact acoustic emission detection method for the safety state of a building structure in a fire scene, which comprises the following steps: S1, scanning the building structure in the fire scene by using an acoustic emission detector with a non-contact probe, and collecting an acoustic emission signal; S2, amplifying, conditioning and analyzing the acoustic emission signal, converting the acoustic emission signal into an audio signal, and outputting the audio signal; and S3, extracting characteristic parameters from the acoustic emission signals, substituting the characteristic parameters into a building structure safety state discrimination model to obtain a building structure safety state level, and outputting corresponding early warning signals. According to the non-contact acoustic emission detection method for the safety state of the building structure in the fire scene, real-time detection of the safety state of the building structure in the fire scene and early warning of collapse of the building structure are achieved.

Description

technical field [0001] The invention relates to the technical field of disaster prevention and mitigation of buildings, in particular to a non-contact acoustic emission detection method for the safety status of building structures in a fire scene. Background technique [0002] With the rapid development of science and technology and social economy, the fire load in buildings is increasing. Once a fire breaks out, if it cannot be effectively controlled at the initial stage, after entering the comprehensive development stage, the building components will be affected by high temperature and the cooling of fire extinguishing jets. May fail under action, causing the building to collapse. The current fire detection technologies are mainly divided into smoke detection, temperature detection, light detection, combustible gas detection, etc. Although these detection technologies can collect and analyze most of the fire parameters in practical applications, and then carry out fire for...

AI Technical Summary

Problems solved by technology

The current fire detection technologies are mainly divided into smoke detection, temperature detection, light detection, combustible gas detection, etc. Although these detection technologies can collect and analyze most of the fire parameters in practical applications, and then carry out fire forecasting, but It is often difficult to work effectively due to the influence of factors such as high building height, large building body, object occlusion, poor equipment sensitivity, low reliability, and external environmental interference.

Moreover, these current fire detection technologies have some limitations: they can only detect whether a fire has occurred, cannot judge the fire development stage, cannot predict the sudden change of the fire, and cannot monitor large outdoor space fires

[0005] However, the existing researches all use traditional acoustic emission instruments, which are composed of sensing systems, signal amplification and filtering systems, signal acquisition systems, and signal analysis and judgment systems. The object under test contacts or passes through the probe and the building structure, so it is difficult to meet the requirements of good mobility and high stability at the fire scene

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