Engineering Research Deployment Teaching Initiative: Tools for the Deployment Integrated Process Operations Research toChemical Engineering Curriculum and Industrial Practice

工程研究部署教学计划：将集成过程运筹学部署到化学工程课程和工业实践的工具

• 批准号: 9309591
• 负责人: Francis Doyle
• 金额: $ 2.5万
• 依托单位: Purdue Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-09-01 至 1995-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9309591&HistoricalAwards=false
• 关键词: Engineering; Research; Deployment; Teaching; Initiative

9309591 Doyle Computer-aided process operations management includes tasks such as process monitoring, regulatory control, data reconciliation, unit and plant-wide optimization, process fault diagnosis, supervisory control, planning and scheduling. Due to the inter-dependencies of these tasks, operations management involves coordination of these tasks in an integrated manner. The proliferation of disparate tools and techniques to carry out these different tasks imposes barriers to problem integration by fragmenting the system implementation and the solution process. Dealing with integration requires a careful choice of problem- solving paradigms, knowledge representation, search and reasoning techniques so as not burden the individual tasks and at the same time providing a unified framework. In this research, the researchers will develop a new course on computer integrated process operations that will address the nature of these operational tasks, the character of integration, the use of artificial intelligence, math programming and nonlinear modeling techniques that are necessary and inevitable for achieving this automation. This course will bring state-of-the-art tools and techniques and industrial case studies to the class room to educate and prepare undergraduate and graduate students in current trends in computer-integrated manufacturing in the chemical process industries.

计算机辅助过程操作管理包括过程监控、监管控制、数据协调、单元和工厂范围的优化、过程故障诊断、监督控制、计划和调度等任务。由于这些任务的相互依赖性，运营管理涉及以集成的方式协调这些任务。执行这些不同任务的不同工具和技术的激增，通过分散系统实现和解决方案过程，给问题集成带来了障碍。处理集成需要仔细选择解决问题的范例、知识表示、搜索和推理技术，以便在不增加单个任务负担的同时提供统一的框架。在这项研究中，研究人员将开发一门关于计算机集成过程操作的新课程，该课程将解决这些操作任务的性质、集成的特征、人工智能的使用、数学规划和非线性建模技术，这些技术对于实现这种自动化是必要和不可避免的。本课程将把最先进的工具和技术以及工业案例研究带入课堂，以教育和准备本科生和研究生了解化学过程工业中计算机集成制造的当前趋势。