Data Analysis And Visualization Of Seismograph

Geophysical exploration is measurement of Earth's physical field by geophysical instruments.After that,changes in time and space will be found.People can deepen the understanding of the Earth and resource.China is rich in land and mineral resource.However,the minerals easily found on the surface are gradually difficult to meet the increasing demand.Therefore,the technical requirements and cost of minerals prospecting have been gradually raised.Currently,geophysical exploration technology in China is facing baptism.China has been able to independently produce high performance seismic machine,it is now focused on the research and development of supporting seismic data acquisition software.In order to do a good job in research and development of this software,understanding the concepts related to seismic waves,and Seismic wave propagation laws and other related knowledge is the first thing need to be done.The self-developed seismic machine architecture and hardware conditions were introduced at first.Based on the understanding of the seismic machine,the data acquisition software of the seismic machine can be more perfect and optimize.Which involves the addition of micro-motion measurement function,in order to add this function,what kind of seismic wave knowledge need to understand,software design and implementation process,three optimization methods were presented for the micro-motion measurement function of noise reduction proposed,including,namely digital filtering,reduce the number of acquisition channels,Use AGC automatic gain control.Extending the sampling length for collecting more seismic data.Finally,the data acquisition test is performed on the micro-motion measurement and the data sampling test after the sampling length is increased.In terms of hardware,the power supply method of the seismic machine was changed,and the system disk was upgraded to increase the storage capacity.At last,the function design of micro-motion measurement is realized,digital filtering function is completed,and 3 channels and 6 channels of data are collected to discuss how to reduce the noise of AGC automatic gain.