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Fuel Gas Enterprise Accident Risk Assessment Based on BP Neural Network

  • Qiquan WangEmail author
  • Cheng Cheng
  • Chao Zhang
  • Jiahe Zhang
  • Kaiyuan Ning
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 576)

Abstract

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.

Keywords

Fuel gas enterprise accident BP neural network Risk level Evaluation 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Qiquan Wang
    • 1
    Email author
  • Cheng Cheng
    • 1
  • Chao Zhang
    • 1
  • Jiahe Zhang
    • 1
  • Kaiyuan Ning
    • 1
  1. 1.China University of Labor RelationsBeijingChina

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