人工智能与化工安全设计课程的融合路径探索
Exploration of the Integration Path of Artificial Intelligence-Enabled Chemical Safety Design Course
DOI: 10.12677/ces.2025.1312939, PDF,    科研立项经费支持
作者: 杨 傲, 米红甫, 张 俊, 杨圆鉴：重庆科技大学安全科学与工程学院，重庆；石 涛*, 申威峰*：重庆大学化学化工学院，重庆；张 浩：西南大学化学化工学院，重庆
关键词: 化工安全；变压精馏；本质安全；共沸分离；教学设计；Chemical Safety； Pressure-Swing Distillation； Intrinsic Safety； Azeotropic Separation； Teaching Design
摘要: 该文将化工过程仿真模拟、多目标智能优化算法和化工安全设计专业基础知识进行了有机的融合，并以实际工程问题丙酮和甲醇的共沸分离为研究对象。通过二元热力学相图在不同压力下的变化趋势来分析变压精馏分离的可行性，利用启发式计算方式确定变压精馏过程的初始模拟参数(如循环流量和组成)；基于Aspen Plus搭建两塔变压精馏分离丙酮–甲醇的工艺过程，并对启发式结果进行模拟验证；进一步通过智能教学辅助工具DeepSeek等辅助学生学习Aspen Plus和Matlab平台的数据实时链接方式；最终采用多目标遗传算法以经济、环境和安全性能作为目标函数对该变压精馏过程进行优化求解。该课程在已有的化工热力学、化工原理和安全系统工程专业基础知识上融合了现代流程模拟软件Aspen Plus和智能优化算法等学科前沿课程内容，有机的将专业理论知识、前沿学科知识和工程实践应用结合，强化了大学生专业基本功训练，激发了大学生对解决工程问题的研究兴趣，全面提升了大学生的创新思维能力。
Abstract: This article organically integrates chemical process simulation, multi-objective intelligent optimization algorithms, and fundamentals of chemical safety design, focusing on the practical engineering problem of azeotropic separation of acetone and methanol. The separation feasibility of pressure-swing distillation is analysed through the variation trend of binary thermodynamic phase diagrams at different pressures. Furthermore, the initial simulation parameters (such as flow rate and composition of recycled streams) of the pressure-swing distillation process is determined through heuristic calculations. We build up a double-column pressure-swing distillation process model for separating acetone-methanol based on Aspen Plus, and the heuristic results are verified. Furthermore, intelligent teaching aids such as DeepSeek are utilized to assist students in learning the real-time data linking methods on Aspen Plus and Matlab platforms. Then, the multi-objective genetic algorithm is used to optimize the pressure swing distillation process with economic, environmental, and safety performance as objective functions. Above all, this course integrates the cutting-edge course content such as advanced process simulation software Aspen Plus and intelligent optimization algorithms with existing knowledge of chemical thermodynamics, chemical principles, and safety systems engineering. It organically combines professional theoretical knowledge, cutting-edge disciplinary knowledge, and engineering practice applications together, which will strengthen the basic training of college students’ professional skills, stimulates their interest in solving engineering problems, and comprehensively enhances their innovative thinking ability.
文章引用：杨傲, 米红甫, 张俊, 杨圆鉴, 石涛, 张浩, 申威峰. 人工智能与化工安全设计课程的融合路径探索[J]. 创新教育研究, 2025, 13(12): 103-112. https://doi.org/10.12677/ces.2025.1312939

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