The Microseismic Monitoring System Data Acquisition Instrumentresearch

Since the late 1930s,L.Duval and WL Albert found microseismic (acoustic emission) phenomenon. Studies have shown that mining dynamic disaster, whether it is coal, or other mines, the mining process perturbations induced by the micro stress field rupture initiation, development, through, fracture failure process of rock instability is the cause of the power of mine disasters. As an important feature of microseismic precursor power disaster, microseismic monitoring technology as the primary means of mining-induced power disaster monitoring, can effectively forecast powered mine disaster. The main method is to use microseismic monitoring system to monitor the area around the use of reasonable density arrangement of a certain number of sensors, sensor consisting of three-dimensional geometric array, in the event of a microseismic monitoring area, the sensor signal can be picked up,and this species physical quantity converted into voltage through multiple simultaneous data acquisition sensors measuring the time the signal is received, together with the coordinates of the sensors and the velocity measured into equation solving, to determine the spatial and temporal parameters of the green-emitting source, to achieve the purpose of positioning.To achieve accurate positioning of microseismic, signal acquisition is critical, the main content of this paper is to design microseismic monitoring data acquisition system to STM32F407 as the main chip, the specific operation of the entire system is: first high-sensitivity seismic sensors collect microseismic signal, and the signal conditioning circuit being collected in a series of front-end amplification, filtering processing, and then the signal is given away to a high-precision A/D converter analog to digital conversion, the converted signal is sent to the FPGA for caching, de-noising processing, processed data through SPI to STM32F407, and finally controlled by STM32F407 data transfer to the host computer via Ethernet. Facilitate the completion of the entire system in microseismic signal acquisition and transmission work, the use of FPGA processing the collected data to improve the speed and accuracy of data processing and FPGA implements the improved wavelet thresholding to make better de-noising, improves the accuracy of signal acquisition, the last data transmission via Ethernet, remote transmission can be achieved signal acquisition.Finally, the design of the system to do a test and simulation test, debug and simulation introduced portion of the waveform, including the chopper circuit, the low-pass filter circuit simulation diagram and improved wavelet threshold denoising simulation map, the end of the paper part of this paper summarizes the work and made a prospect.