ANALYSIS OF APPLICATION OF PETRI NET IN FIELD OF ECOLOGICAL ENVIRONMENT

LIN Lin; SUN Shujing; SUN Cang; ZHAO Yan

doi:10.13205/j.hjgc.202306030

Volume 41 Issue 6

Jun. 2023

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2023 > 41(6): 233-238

HUANG Yajie, CUI Yanzhi, LIU Haidong, BIAN Huafeng, LI Junchao, ZHOU Yan. ANALYSIS OF SPATIAL DIFFERENCES AND COUNTERMEASURES OF PRECISION OF THE RURAL DOMESTIC SEWAGE TREATMENT IN THE YELLOW RIVER BASIN[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(6): 47-53,156. doi: 10.13205/j.hjgc.202306007

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LIN Lin, SUN Shujing, SUN Cang, ZHAO Yan. ANALYSIS OF APPLICATION OF PETRI NET IN FIELD OF ECOLOGICAL ENVIRONMENT[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(6): 233-238. doi: 10.13205/j.hjgc.202306030

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ANALYSIS OF APPLICATION OF PETRI NET IN FIELD OF ECOLOGICAL ENVIRONMENT

doi: 10.13205/j.hjgc.202306030

LIN Lin¹,
SUN Shujing²,
SUN Cang²,
ZHAO Yan^{1
,
,}

1. School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China;
2. Liaoning Ecological and Environmental Monitoring Center, Shenyang 110165, China

Received Date: 2022-09-02
Available Online: 2023-09-02

Abstract

Abstract

As a set of complex discrete systems, we need to establish and simulate mathematical models with different complexity to predict and study the properties of environmental systems. These computational experiments typically require a combination of discrete and continuous variables and process operating at different time scales. As a visual modelling tool, Petri net can accurately describe the environmental events. This paper reviews the research on Petri net modelling in the field of ecological environment by domestic and foreign scholars in recent years. Focusing on five seminal research findings, including the application of Petri net modelling in the field of environmental impact assessment, in the simulation of pollutant emission limits, in environmental data processing, in risk assessment, and in environmental decision-making, the future research directions of Petri modelling in the informative representation of environmental problems, transformation and processing of data, integration with neural networks and algorithms, and establishment of expert systems are discussed.
- Petri net,
- environment modelling,
- discrete events,
- complex systems,
- information expression

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References(48)

References

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