基于Python的汽车安全气囊跌落实验数据分析

Experimental Data Analysis of Automotive Airbag Drop Based on Python

为了保证安全气囊在发生车祸时,瞬时爆发,对乘员起到保护作用,生产企业需要对汽车安全气囊做大量实验,作为安全气囊产品参数优化与仿真的基础。大量实验数据能够快速方便、高效分析,对汽车安全气囊仿真、设计和改进至关重要。基于Python,对汽车安全气囊跌落实验数据加速度a、速度v、气袋内压力p进行整体统计分析,选出安全气囊爆燃,压力p变化趋势明显的数据段,进行数据相关分析,计算出加速度a、速度v和气袋内压力p的数据相关性系数,对数据进行拟合,得出加速度a与速度v和气袋内压力p的数据拟合方程。研究表明采用Python对汽车安全气囊跌落实验数据分析,充分调用Pandas,NumPy,MatplotLib、SeaBorn等科学计算库和可视化工具,能够方便快速,高效获得数据分析结果,为安全气囊产品参数优化,仿真提供数据基础,缩短产品开发生产周期。

In order to protect the passengers in the event of an accident when safety airbag is exploded,a large number of automobile airbag experiments should be made by the manufacturing enterprises.The experiments are the basis of product parameter optimization and simulation.A large number of experimental data are analyzed quickly,conveniently and efficiently,which is very important to the simulation,design and improvement of automobile airbag.Based on the Python,overall statistical analyses of automobile airbag drop experiment data,the acceleration a,the speed v,and the pressure p,are made.Safety airbag deflagrated pressure p data with obvious change trend were selected to analyze data correlation.The data correlated coefficients of acceleration a,velocity v and pressure p were calculated.By fitting the data,the fitting equations of acceleration a,velocity v and pressure p in the air bag are obtained.The research shows that the data analysis of the automotive airbag drop can be obtained quickly and efficiently by using Python,the scientific calculation libraries and visualization tools such as Pandas,NumPy,Matplotlib,SeaBorn,etc.Data base is provided for the parameter optimization and simulation of airbag.The period of product development and production is shortened.