摘要
为实现瓦斯灾害智能预警,从统计学角度分析瓦斯涌出时间序列概率分布特点,提出基于正态性检验的瓦斯涌出异常预警方法,利用Matlab对时间序列进行Ryan-Joiner与偏度—峰度联合正态检验。实验结果表明,当瓦斯涌出状态变化平稳没有大幅度波动时,瓦斯涌出序列服从正态分布;当瓦斯涌出状态出现大幅度波动且变化异常时,瓦斯涌出序列不服从正态分布。利用联合正态检验方法可实现瓦斯涌出异常提前预警,为辅助瓦斯灾害防治提供理论依据。
In order to realize the intelligent early warning of gas disaster,the probability distribution characteristics of gas emission time series are analyzed from the perspective of statistical principle.A gas emission abnormality warning method based on normality test is proposed.The time series is be utilized to perform Ryan-Joiner and skewness-kurtosis joint normality test by using Matlab.The experimental results show that the gas emission sequence obeys the normal distribution when the gas emission state changes smoothly and does not fluctuate greatly.When the gas emission state fluctuates greatly and the variation is abnormal,the gas emission sequence does not obey the normal distribution.This paper uses the joint normal test method to realize the advance warning of gas emission anomaly,and provides a theoretical basis for the prevention and control of gas disaster.
作者
张天宇
王红娟
ZHANG Tian-yu;WANG Hong-jun(School of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao 266590,China;Department of Information Engineering,Shandong University of Science and Technology,Tai’an 271019,China)
出处
《软件导刊》
2020年第3期99-103,共5页
Software Guide
基金
国家重点研发计划项目(2017YFC0804406)
山东省重点研发计划项目(2016ZDJS02A05)
泰安市科技发展计划项目(2018GX0007)。
