基于DSP的声发射检测系统的研究与设计
[Abstract]:Mineral resources are precious wealth of our country and play an important role in the development of national economy. With the development of national economy, the demand for mineral resources is very strong, which leads to more and more mining activities. With the development of mining activities, the stability of rock mass changes, which may lead to rock mass caving and bring direct threat to the life and safety of underground operators. As a new dynamic nondestructive testing technology, acoustic emission technology can be used to monitor the stability of rock mass in mines, to predict and forecast the phenomena of rock mass collapse, roof fall and landslide, and to avoid accidents. It is of great significance to promote mine safety production and protect people's life and property safety. In this paper, a multi-channel, portable mine rock mass acoustic emission detection system based on DSP is designed. The main work is as follows: (1) data acquisition, signal processing, data transmission and feature parameter extraction should be completed in this system. According to the function requirement, TMS320VC5402 is chosen as DSP chip, ADS7864 as A / D converter chip, CY7C68013A as USB communication interface chip. The hardware and software design scheme of acoustic emission detection system is given. (2) in hardware design, TMS320VC5402 minimum system, TMS320VC5402 memory expansion circuit, ADS7864 and TMS320VC5402 interface circuit, CY7C68013A and TMS320VC5402 interface circuit are designed. The hardware design is completed on the circuit design software Cadence 16.5, and the PCB design adopts a variety of anti-interference measures. (3) in the software design, we design the A / D sampling program and FIR filter program on CCSv5.2 to collect the acoustic emission signal from the original rock mass and process the FIR filter. Through the USB firmware program, the filtered acoustic emission signal data is transmitted to the host computer through the USB interface. On the host computer, wavelet threshold denoising and feature parameter extraction are performed, and wavelet threshold de-noising is performed on the filtered signal, and acoustic emission time domain and frequency domain characteristic parameters are extracted from the de-noised signal. Finally, the testing platform is built and the acoustic emission testing system is tested. The test results show that the system design meets the design requirements and achieves the desired design goal.
【学位授予单位】:湖南大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TD326
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