The Consistency Processing Of Distributed Measurement Source Signal Over Shallow Surface Explosion

It is an effective method that using the distributed wireless sensor network(WSN) collectthe seismic source of shallow explosion signal to realize the source localization.The numberof sensor nodes are affected by environmental factors such as geography and its setting, so theeffectiveness of the acquired data become the important factors influencing the locationaccuracy.This article focuses on the validity of the data and identifying method.In this paper, based on the underground vibration information acquisition system, and thefactors influencing the data reliability analysis, proposed through the analysis of theconsistency signal to judge the validity of the data, method of eliminating the invalid data.Inunderground shallow blast is studied, the propagation law of shock wave formation and thetype, on the basis of using the Hilbert-Huang analyzed the characteristics of the source signal,determining the spectrum characteristics of the source signal.For the impacts of consistencyprocessing and layout of sensor nodes and the process of data transmission in vibrationinformation acquisition,we put forward a method which getting each node’s time lapse of theseismic source signal characteristics to extract achieve primary wave in order to eliminate thetime shift effect:To use each node primary wave correcting time, then identify the calibrationsignals.Based on the characteristics of the only source in shallow underground explosion,bythe spectrum correlation analysis and principal component analysis method,we can extract theconstituent of similar signals of all nodes, then match comparison to eliminate distortion dataand realize the consistency of each node signal screening.The results obtained through combining with the results of the two methods of consistencyanalysis show that the method can be implemented effectively vibration data filtering, and laythe foundation in improving the source location accuracy.This method can be applied to otherreliability analysis in the study of vibration information.