Fuel Gas Enterprise Accident Risk Assessment Based on BP Neural Network

被引：1
|
作者：
Wang, Qiquan [1 ]
Cheng, Cheng [1 ]
Zhang, Chao [1 ]
Zhang, Jiahe [1 ]
Ning, Kaiyuan [1 ]
机构：
[1] China Univ Lab Relat, Beijing 100048, Peoples R China
来源：
MAN-MACHINE-ENVIRONMENT SYSTEM ENGINEERING (MMESE 2019) | 2020年 / 576卷
关键词：
Fuel gas enterprise accident; BP neural network; Risk level; Evaluation;
D O I：
10.1007/978-981-13-8779-1_86
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Taking a fuel gas company in Guizhou as an example to understand the dangerous and harmful factors in fuel gas production, storage, transportation and operation through on-the-spot investigation, and to deeply analyze the causes of accident. Then constructing the fuel gas accident risk assessment index system. Adopting the expert evaluation method and actual survey samples, and introducing the BP neural network mathematical model algorithm to conduct risk assessment on the sample gas company. And the risk value and risk level were obtained according to the sample comparison analysis.
引用
收藏
页码：759 / 767
页数：9
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