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Quantitative Analysis and Research on Emergency Linkage System Performance Based on Stochastic Petri Net

Published: 11 November 2020 Publication History

Abstract

With the large-scale and centralized of chemical enterprises, more and more attention has been paid to the emergency linkage system of emergencies. Perfect emergency linkage can curb or delay the development of the situation. In order to quantitatively study the performance of emergency linkage system in chemical enterprises, a stochastic Petri net structural model was built based on emergency linkage process and elements. Then, the accessible set is analyzed, isomorphic transformation is carried out in combination with Markov chain and the performance of each link in the emergency linkage action has been analyzed and calculated. Finally, the average working time of the emergency linkage system in completing all scenarios has been obtained. The analysis of the calculation results can be used to optimize the emergency linkage system.

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    WSSE '20: Proceedings of the 2nd World Symposium on Software Engineering
    September 2020
    329 pages
    ISBN:9781450387873
    DOI:10.1145/3425329
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    • Wuhan Univ.: Wuhan University, China
    • University of Electronic Science and Technology of China: University of Electronic Science and Technology of China

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 11 November 2020

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    Author Tags

    1. Markov chain
    2. SPN
    3. emergency linkage
    4. quantitative analysis

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