Algorithms and methodologies of controlling unsteady flows

本计画的目标是发展一个以电脑为基础的虚拟环境平台，以支援专家的资料分析与决策。该平台被说明为一个重要的和普遍的工业挑战：控制非定常流（例如，液体/气体流动反应器）。 嵌入在该平台中的是一组使能算法，这些算法从复杂和海量的流数据中对关键模式进行鲁棒和可靠的识别;并且有效地呈现所识别的模式以用于三维可视化和多用户交互。 这些算法是对当前研究挑战的非常规解决方案，如流型识别数据的不完整性，表示的主观性和实时分析模拟工具的不足。 VE平台的重要性通过应用于化学流动反应器来体现，这是我们的支持组织NOVA Chemicals Corporation的核心业务利益。* 该项目非常适合信息和通信技术的目标领域，研究主题为“（e）从数据到知识再到行动-非结构化模式识别”。“在强大的工业支持下，我们设想这样一个VE平台，以提高加拿大许多部门的生产力和竞争力;跨学科的专家必须在解决问题和决策活动中经常解码复杂和大量的数据。

The objective of this project is to develop a computer-based virtual environment (VE) platform for supporting expert data-analysis and decision-making. The platform is illustrated for an important and pervasive industrial challenge: controlling unsteady flows (e.g., liquids/gas flow reactors). Embedded in the platform is a set of enabling algorithms that make robust and reliable recognition of key patterns from complex and massive flow data; and that render the recognized patterns effectively for three-dimensional visualization and multi-user interaction. Advancing the state of the art, these algorithms are unconventional solutions to current research challenges - such as incompleteness of data for flow pattern recognition, subjectivity of representations and inadequacy of simulation tools for real-time analysis. The significance of the VE platform is exemplified through applications to chemical flow reactors, a core business interest of our supporting organization NOVA Chemicals Corporation. ** **The project fits well into the target area of Information and Communication Technologies, under the research topic of "(e) From Data to Knowledge to Action - unstructured pattern recognition." With strong industrial support, we envision such a VE platform to boost the productivity and competitiveness of many Canadian sectors; in which experts across disciplines must routinely decode complex and massive data together in their problem-solving and decision-making activities.************