Modeling for operators collaboration in the Main control room of SMR based on time petri net

The main control room (MCR) is essential for the safe and coordinated operation of nuclear power plant (NPP). With the development of multi-reactor control configurations in small modular reactors (SMRs), operator collaboration has become increasingly important and more complex. However, existing studies have mainly focused on human error modeling and failure rate estimation, systematic methods for analyzing collaborative behaviors and quantifying task execution time in team-based scenarios remain limited. To address this gap, we propose a hierarchical modeling and performance evaluation framework based on an extended Time Petri Net (TPN). The TPN is extended to represent interrupt behavior and progress retention, enabling realistic modeling of collaborative tasks in the MCR. This study provides a quantitative framework for evaluating and optimizing operator collaboration and offers practical implications for MCR design in SMR.

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Publication Details

Journal
Nuclear Engineering and Design
Published
2026-09-12
DOI
https://doi.org/10.1016/j.nucengdes.2026.115217
Primary Topic
Petri Nets in System Modeling
Type
article
Field-Weighted Citation Impact
0.00

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article

Modeling for operators collaboration in the Main control room of SMR based on time petri net

Hongru Zhao, Meng Kong, Zhengyang Li, Jun Zhao et al.
Nuclear Engineering and Design
Petri Nets in System Modeling
article

Modeling for operators collaboration in the Main control room of SMR based on time petri net

Hongru Zhao, Meng Kong, Zhengyang Li, Jun Zhao, Jiejuan Tong
article en

Abstract

The main control room (MCR) is essential for the safe and coordinated operation of nuclear power plant (NPP). With the development of multi-reactor control configurations in small modular reactors (SMRs), operator collaboration has become increasingly important and more complex. However, existing studies have mainly focused on human error modeling and failure rate estimation, systematic methods for analyzing collaborative behaviors and quantifying task execution time in team-based scenarios remain limited. To address this gap, we propose a hierarchical modeling and performance evaluation framework based on an extended Time Petri Net (TPN). The TPN is extended to represent interrupt behavior and progress retention, enabling realistic modeling of collaborative tasks in the MCR. This study provides a quantitative framework for evaluating and optimizing operator collaboration and offers practical implications for MCR design in SMR.

Nuclear Engineering and DesignVol. 459
China Astronaut Research and Training Center (CN), Tsinghua University (CN)
National Key Laboratory of Human Factors Engineering
Openalex Percentile: Top 9%
Petri Nets in System Modeling
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