Signal processing method of acoustic emission tower crane safety detection system

Abstract

The invention discloses a signal processing method of an acoustic emission tower crane safety detection system. The signal processing method of the acoustic emission tower crane safety detection system comprises the following steps: 1, denoising a signal through wavelet analysis; 2, selecting a wavelet, re-decomposing, and performing signal reconstruction to complete characteristic signal extraction; 3, performing severity pattern recognition on an acquired acoustic emission signal by using a BP neural network; 4, dividing the severity of the acoustic emission signal into a plurality of levelsaccording to an extracted characteristic signal for safety evaluation. By the signal processing method of the acoustic emission tower crane safety detection system, the acoustic emission tower cranesafety detection system can achieve early warning of early damage, can monitor expansion of the damage, has high sampling rate and high conversion rate, and can achieve high-precision and high-sensitivity measurement.

Description

technical field [0001] The invention relates to the field of tower crane safety detection, in particular to a signal processing method of an acoustic emission tower crane safety detection system. Background technique [0002] Tower crane is a kind of commonly used lifting equipment. It is subjected to various loads for a long time during use. Its load-bearing welded structure is a part that is prone to damage. In recent years, there have been many reports on tower crane safety accidents. Therefore, the safety of tower cranes Very important. The inspection of tower cranes is mainly based on regular shutdown inspection and supervisory inspection. The inspection contents mainly include: document inspection, data verification, on-site inspection and personnel inspection during the whole installation process. Routine inspection is time-consuming and labor-intensive, and cannot detect damage and expansion generated during operation in time. At the same time, even after passing t...

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Problems solved by technology

[0005] This technical solution can realize the monitoring of the macro state during the operation of the tower crane, such as: environmental wind speed, deformation, inclination, etc., but this is only the minimum safety guarantee for the tower crane to work

There are a large proportion of serious accidents such as fractures in tower crane accidents, which are caused by load-bearing structures and local stress concentration. The detection of the above schemes cannot detect hidden damage and damage expansion, and thus cannot achieve more effective early warning

[0006] In the existing tower crane safety detection technology, the conventional detection technology content is low, and hidden damage and early warning cannot be found, and only basic safety inspections can be done to ensure that the installation, operation, and maintenance of the tower crane comply with safety regulations; The detection technology scheme uses multiple sensors to detect physical parameters such as the deformation of the tower crane. For large-scale lifting equipment such as tower cranes, the measured value is easily disturbed by various factors, and can only guarantee the lowest safety conditions, so the practical application is of little significance

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