CISE Research Instrumentation: Computational Techniques for Distributed Process Engineering

9617360 Erik Ydstie Carnegie Mellon大学CEISE研究仪器：分布式过程工程的计算技术赠款支持设备，使以下项目的研究成为可能：-建模和大规模仿真，-离散和非线性优化，-过程控制和生产调度，-高完整性控制系统和操作程序的综合和验证，-信息系统和分布式数据。美国的化工制造业正面临着整合工艺设计和操作以应对技术变化、全球压力增加、新法规和安全限制的挑战。CMU已经开发了专业知识和决策支持系统来解决一些这样的问题。本研究的重点是整合所概述的领域。开发了大规模设计问题中有效的信息存储和检索模型，以实现更有效的优化和排序方法。还将开发理论和计算工具，以探索设计和控制之间的权衡问题。其长期目标是推进决策支持系统的综合战略，以及在分布式计算机网络中协调用于过程设计和操作的符号和数值计算的有效方法。

9617360 Erik Ydstie Carnegie Mellon University CISE Research Instrumentation: Computational Techniques for Distributed Process Engineering The grant supports equipment to enable research in the following projects: -Modeling and Large Scale Simulation, - Discrete and Nonlinear Optimization, - Process Control and Production Scheduling,- Synthesis and Verification of High Integrity Control Systems and Operating Procedures, -Information Systems and Distributed Data. The chemical manufacturing industry in the US is facing the challenge of integrating process design and operation to respond to changes in technology, increased global pressures, new regulation and safety constraints. CMU has developed expertise and decision support systems that answer to a number such problems. This research focuses on integrating the areas outlined. Models for efficient information storage and retrieval in large scale design problems are developed to enable more efficient methods for optimization and sequencing. Theory and computational tools will also be developed for exploring trade-off issues between design and control. The long term goal is to advance integrated strategies for decision support systems and efficient methods for coordinating symbolic and numerical computation for process design and operation in distributed computer networks.