基于仿真与人工智能的自动化实训课程研究
Research on Automation Training Course Based on Virtual Simulation and Artificial Intelligence Technology
高东 1李大字 1马昕 1吴重光1
作者信息
- 1. 北京化工大学信息科学与技术学院,北京 100029
- 折叠
摘要
针对石油化工背景下自动化专业实训类课程面临的难以现场实践、操作,实验设备不足、难以维护、成本高、安全性差以及基于仿真技术的课程强调基本操作,难以培养综合能力、创新能力等问题展开研究.充分利用虚拟仿真技术与人工智能技术,以能力培养为目标,提出了石油化工自动化专业的实训课程层级模型与多维度评价体系,并加入了基于危险剧情的教学方法,充分调动学生的主观能动性,激发创新能力,培养科学决策能力,复杂工程问题解决能力.以《化工过程与控制仿真实习》课程为案例,构建实现了完整的仿真教学环境,为进一步提升教学质量,培养学生的创新能力、工程实践能力,提供了良好的解决思路与方案.
Abstract
This study aims to address the challenges faced by automation training courses in the context of petro-chemicals,including difficulties in on-site practice and operation,insufficient experimental equipment,difficulty in maintenance,high costs,poor safety,and the emphasis on basic operations in simulation based courses,which make it difficult to cultivate comprehensive and innovative abilities.The courses based on simulation technology emphasize basic operations,which are difficult to cultivate comprehensive ability and innovation ability.By making full use of virtual simulation technology and artificial intelligence technology and aiming at ability training,the hierarchical model and multi-dimensional evaluation system of training courses for petrochemical automation major are proposed to solve these problems.The teaching method based on hazard scenario is added to fully mobilize students'subjectiveinitiative,stimulate innovation ability,cultivate scientific decision-making ability and complex engineering problem-solving ability.Taking the course of chemical process and control simulation practice as an example,a com-plete simulation teaching environment was constructed and realized,which provides good solutions and schemes for further improving teaching quality and cultivating students'innovation ability and engineering practice ability.
关键词
虚拟仿真/人工智能/工程实训/石油化工/自动化Key words
Virtual simulation/Artificial intelligence/Engineering training/Petrochemical industry/Automation引用本文复制引用
基金项目
北京化工大学"基于虚实结合云平台模块化无人系统的大数据与人工智能人才培养实践研究"改革项目(2020BHXGKJ07)
北京化工大学信息科学与技术学院"实践实验类课程线上线下混合式教学"改革项目(XXJG2021001)
出版年
2024
NETL
NSTL
万方数据