Laser speckle defocused imaging-based vibration detection method

Abstract

The invention relates to a laser speckle defocused imaging-based vibration detection method. In the prior art, the lossless remote measurement of the vibration information cannot be realized. The method is designed based on the laser speckle defocused imaging principle and integrates the line scanning technique of a two-dimensional photoelectric sensor, wherein a laser beam is irradiated onto a to-be-detected region. Laser speckles are imaged by means of a defocused optical imaging system. A spectroscope is arranged in the image space of the defocused optical imaging system to divide the laser beam into two beams. The image plane of each imaging beam is provided with a two-dimensional photoelectric sensor and the photoelectric sensor is set to run in the line-scanning and imaging mode. A vibration analysis unit is used for processing line-scanning and imaging signals to obtain the vibration information of the to-be-detected region. The laser speckle defocused imaging-based vibration detection method has the advantages of non-contact detection, non-damage detection, remote measurement, high sensitivity, high reliability, strong anti-interference capability, wide frequency response range, large information amount, easy construction, convenient usage, wide application range, easily extended function, convenient integration, flexible construction, low cost and the like.

Description

technical field [0001] The invention belongs to the field of optical technology, and relates to a vibration detection method, in particular to a vibration detection method based on laser speckle defocus imaging, which is mainly used in voice collection, health detection, vibration monitoring, quality detection, noise analysis, and environmental monitoring Vibration detection in other fields. Background technique [0002] Vibration detection widely exists in mechanical diagnosis, voice acquisition, health detection, vibration monitoring, quality inspection, noise analysis, environmental monitoring, resource exploration, biological research, life science, medical treatment, process control, national defense security, engineering testing, risk assessment, environmental In the fields of perception, Internet of Things, process control, advanced manufacturing, etc., the demand for vibration detection is becoming more and more urgent, and the detection requirements are getting high...

AI Technical Summary

Problems solved by technology

[0002] Vibration detection widely exists in mechanical diagnosis, voice acquisition, health detection, vibration monitoring, quality inspection, noise analysis, environmental monitoring, resource exploration, biological research, life science, medical treatment, process control, national defense security, engineering testing, risk assessment, environmental In the fields of perception, Internet of Things, process control, advanced manufacturing, etc., the demand for vibration detection is becoming more and more urgent, and the detection requirements are getting higher and higher. For example, in the field of voice collection, voice is also a manifestation of vibration, usually Microphones are used for voice information collection. However, microphones are difficult to implement in long-distance voice collection, and their performance is not good. Therefore, high-quality long-distance collectors are needed; Analysis of characteristics and health status, vibration detection technology is essential

[0003] There is a vibration information detection method in the prior art, a piezoelectric vibration sensor (see US patent, patent name: Piezoelectricvibrationsensor, inventor: OrtenBirger, patent number: US7656524B2, patent authorization time: May 06, 2008), this Although the prior technology has certain characteristics, there are still essential deficiencies: 1) The piezoelectric principle is used for vibration detection, and the vibration sensor is made based on the piezoelectric material, and then the vibration sensor is in contact with the detected object to sense the vibration information, so in essence Long-distance vibration telemetry cannot be realized; 2) Due to the close interaction between the piezoelectric vibration sensor and the detected object, the detected object and its environment will affect the piezoelectric vibration sensing process, affecting the accuracy and sensitivity of the detection results, This further affects the reliability of the vibration detection process; 3) Due to the inherent mechanical frequency characteristics of piezoelectric materials and vibration sensors made based on piezoelectric materials, the natural frequency characteristics limit the frequency response behavior of vibration information detection, which affects the vibration detection information. 4) The existing vibration detection system is complex to construct, inconvenient to use, and difficult to expand functions; 5) Piezoelectric vibration sensors are not easy to integrate

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