Abstract
Aiming at the serious safety hazards and environmental pollution problems in the process of extracting ethylene epoxidation to produce ethylene oxide, a chemical process monitoring method based on improved decision tree C4.5 is proposed. Compared with the previous chemical process monitoring methods, this paper is based on the data characteristics of the extraction process. And the information gain rate is obtained by various characteristics in the process of preparing ethylene oxide, and appropriate node branches are selected to classify the impact effects of the accident. On this basis, analysis of the extracted accident classification, forming a safety production evaluation and environmental risk assessment model for the production of ethylene oxide. The experimental results verify that the chemical process monitoring method of C4.5 is improved is useful for the chemical hazard prevention is made in advance for the chemical process, and effectively reduces the risk factor of the chemical process.
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Jing, X., Zhao, H., Zhang, S., Ruan, Y. (2019). Research on Monitoring Method of Ethylene Oxide Process by Improving C4.5 Algorithm. In: Jin, H., Lin, X., Cheng, X., Shi, X., Xiao, N., Huang, Y. (eds) Big Data. BigData 2019. Communications in Computer and Information Science, vol 1120. Springer, Singapore. https://doi.org/10.1007/978-981-15-1899-7_28
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DOI: https://doi.org/10.1007/978-981-15-1899-7_28
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