Impact Sensitivity Testing Platform Design

The traditional measurement system of impact sensitivity isn't automatic and has bad security. The measurement result isn't dependable because the evidence is single.According to the accepting requirement of the impact sensitivity measurement system, several testing subsystems are established and software of testing system is developed taking into account of the feature of impact sensitivity measurement.Based on the analysis of the concentrations of three kinds of gases (hydrogen, nitric oxide, and carbon monoxide), a new model using neural network method is proposed to estimate explosion occurrence.In order to avoid the harm to the operator, a remote measurement for explosive noise test is described. The relationship between noise decibel and height is analyzed.The impact force is analyzed on explosive status and unexploded status.The method based on neural network and D-S evidence is studied for classifying explosion's intensity. The simulation of an example shows that it is feasible and effective.