摘要
在危险品存储区域中,假设危险品遭到雷击,则极易发生爆炸,给存储安全带来极大得威胁。因此,需要对危险品存储区域雷击风险进行预测,从而判断指定区域是否有可能发生雷击。本文提出了一种基于非线性变换算法的危险品存储区域雷击风险预测方法。提取危险品存储区域的雷击信号,对雷击信号进行均值滤波处理,去除信号中的噪声。对危险品存储区域进行分割处理,建立雷击风险预测模型,从而实现危险品存储区域雷击风险预测。实验结果表明,这种算法能够有效提高危险品存储区域雷击风险预测的准确性,取得了令人满意的效果。
In the dangerous goods storage area, it was assumed that dangerous goods by lightning, it is extremely easy to explode, secure storage to bring huge threat. So, need to dangerous goods storage area lightning stroke risk forecast to judge whether the designated area possible lightning. Therefore, this paper puts forward a nonlinear transform algorithm based on the dangerous goods storage area lightning stroke risk prediction method. Extraction of dangerous goods storage area of lightning signal, the lightning signal average filtering processing, remove the noise in the signal. For dangerous goods storage area segmentation processing, the establishment of lightning stroke risk prediction model, so as to realize the dangerous goods storage area lightning stroke risk prediction. The experimental results show that this algorithm can effectively improve the dangerous goods storage area lightning stroke risk prediction accuracy, has made the satisfactory effect.
出处
《科技通报》
北大核心
2013年第4期168-170,共3页
Bulletin of Science and Technology
关键词
危险品
雷击风险
非线性变换
dangerous goods
lightning risk
nonlinear transform
