Risk Variable Identification of Synthetic Ammonia Process Based on Complex Network Analysis and Symbolic Digraph

Ning Li

doi:10.23977/ieim.2023.060109

Risk Variable Identification of Synthetic Ammonia Process Based on Complex Network Analysis and Symbolic Digraph

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DOI: 10.23977/ieim.2023.060109 | Downloads: 9 | Views: 510

Author(s)

Ning Li ¹

Affiliation(s)

¹ College of Industry and Commerce, Henan Polytechnic University, Jiaozuo, Henan, 454150, China

Corresponding Author

Ning Li

ABSTRACT

Ammonia synthesis is one of the most important inorganic production processes in chemical industry, and the identification of risk variables in ammonia synthesis process is the key link to realize its process control and optimization. Therefore, this paper focuses on the identification of key variables in the process of synthetic ammonia. The method of combining complex network analysis and symbolic digraph for the first time is applied to the ammonia synthesis process, and the conclusion obtained by this method is compared with that obtained by using HAZOP to identify the risk of ammonia synthesis process. The results show that the combination of complex network analysis and symbolic digraph can be used as a tool to identify the risk variables in the process of ammonia synthesis, and this method integrates subjective and objective factors, and the obtained weights are more scientific and practical, thus improving the accuracy of evaluation.

KEYWORDS

Synthetic Ammonia Process Symbolic Digraph (SDG) Complex Network, Key Variable Identification

CITE THIS PAPER

Ning Li, Risk Variable Identification of Synthetic Ammonia Process Based on Complex Network Analysis and Symbolic Digraph. Industrial Engineering and Innovation Management (2023) Vol. 6: 62-76. DOI: http://dx.doi.org/10.23977/ieim.2023.060109.

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Risk Variable Identification of Synthetic Ammonia Process Based on Complex Network Analysis and Symbolic Digraph

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Affiliation(s)

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ABSTRACT

KEYWORDS

CITE THIS PAPER

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