User-defined coordinate array noise signal real-time data analysis system and method

Abstract

The invention discloses a user-defined coordinate array noise signal real-time data analysis system and method, the system comprises an acquisition front end, a data acquisition instrument, a communication bus, an interaction terminal and a power supply, the acquisition front end is a user-defined coordinate acoustic sensor array and is used for real-time acquisition of noise signals; the data acquisition instrument is used for preprocessing the noise signals acquired by the acquisition front end, and calculating data obtained by preprocessing by using an FPGA operation module included in the data acquisition instrument to obtain a real-time imaging result of matching of an array acoustic cloud picture and an optical cloud picture; the real-time imaging result is transmitted to the interaction terminal through the communication bus and is displayed; the communication bus is used for realizing transmission communication of system data; and the interaction terminal is used for issuing an interaction instruction and displaying an acoustic imaging result. The system and the method can reduce the influence of the collected noise signal caused by the distance and the standard array form, and accelerate the matching of the acoustic cloud picture and the optical cloud picture.

Description

technical field [0001] The present invention relates to the technical field of signal processing, and more specifically relates to a system and method for real-time data analysis of noise signals of custom coordinate arrays. Background technique [0002] Real-time imaging technology is an X-ray non-destructive testing method. It displays the test result image in real time on the screen, and uses the image to conduct qualitative and quantitative analysis, judgment and evaluation of the test object material, so as to obtain the test result. [0003] When processing noise signals, most of the existing fast real-time imaging technologies are applied to standard arrays, but there are some problems in standard arrays in general, such as the position of the sensor array, the number of sensors, etc., which will cause low signal-to-noise ratio of the signal and difficulty in algorithm processing big and other issues. However, the current signal processing mode based on non-standard...

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Problems solved by technology

[0003] When processing noise signals, most of the existing fast real-time imaging technologies are applied to standard arrays, but there are some problems in standard arrays in general, such as the position of the sensor array, the number of sensors, etc., which will cause low signal-to-noise ratio of the signal and difficulty in algorithm processing Major and other issues

However, the current signal processing mode based on non-standard custom arrays is basically to calculate and match the imaging results after data collection. This method takes a long time to calculate and cannot quickly obtain the matching results of the array acoustic cloud image and optical cloud image.

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