成都大学学报（自然科学版）2025，Vol.44Issue(3)：263-269,7.DOI:10.3969/j.issn.1004-5422.2025.03.006
基于ISSA-GPR化工风险评价模型研究
Research on Chemical Risk Assessment Model Based on ISSA-GPR
摘要
Abstract
In view of the difficulties in risk assessment of equipment and facilities due to the single method used in the process of risk assessment and prediction of chemical production,an improved sparrow search algorithm based on optimizing Gaussian process regression(GPR)model for risk assessment and predic-tion of chemical industry is proposed in this paper to achieve dynamic management.Firstly,the safety e-valuation of the non-catalytic oxidation process of cyclohexane was carried out by using interval type-2 fuzzy set and analytic hierarchy process.Secondly,the chemical risk assessment prediction model was es-tablished based on GPR,and the optimized super parameters were obtained by using the improved sparrow search algorithm.The optimized GPR had higher fitting accuracy and ensured the accuracy of the predic-tion model.Finally,the model is verified by predicting oxygen concentration of cyclohexane tail.The re-sults show that the model can predict the risks involved in the chemical production process with high pre-diction accuracy.关键词
区间二型模糊集/高斯过程回归/麻雀搜索算法/风险评价Key words
interval type-2 fuzzy set/Gaussian process regression/sparrow search algorithm/risk assessment分类
化学化工引用本文复制引用
张荣花,安伟,丁卫平,阚哲..基于ISSA-GPR化工风险评价模型研究[J].成都大学学报（自然科学版）,2025,44(3):263-269,7.基金项目
辽宁省教育厅面上项目(JYTMS20231448) （JYTMS20231448）
