Automatic identification phase in shock bump monitoring

Shock bumps in the coal mine which has brought about tremendous economic losses and casualties, and it has seriously affected the production safety of the coal mine. So to make a real-time and continuous monitoring is of great significance. Compared with the seism, Shock bump has the characteristics of shorter shock duration and shorter effect radius. Sometimes the radius is only several miles. In recent decades, both at home and abroad, experts have done a lot of research work on shock bump monitoring and position fix. Microseism monitoring technology is the most important one of them. In this paper, we use the short-time average/long-time average trigger algorithm to identify the real-time data collected by the shock bump monitoring device automatically, and then send the suspected data to the server for further analysis.