Digital Engineering Archives

数字工程档案

• 批准号: 0456001
• 负责人: William Regli
• 金额: --
• 依托单位: Drexel University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0456001&HistoricalAwards=false
• 关键词: Digital; Engineering; Archives

For many industries, engineering design and manufacturing data needs to be preserved over 50-to-75 year lifespans. Traditional digital data management techniques are usually dependent on the proprietary formats of commercial software systems and cannot guarantee the readability and utility of data over long periods. Hence, while 3D CAD modeling has become indispensable, the engineering part print (i.e., the 2D drawing) still remains a principal method of design knowledge archival. The rich knowledge in 3D CAD about features, manufacturing processes and artifact behavior are simply lost in translation. The research team proposes to develop a representation and algorithmic techniques to archive 3D CAD objects. The approach is to augment shape-based representations with formal models of engineering semantics and domain-driven segmentation algorithms. The rationale is that low-level shape information is repres ntationally straightforward, and easily preserved; whereas native CAD/CAM formats are proprietary and notoriously hard to preserve, even across incremental product versions. Engineering semantics will be based on emerging W3C, Semantic Web, ISO and NIST standards formalisms that will need to be extended to handle new datatypes specific to complex engineering artifacts. These will be mathematical logics described in the non-proprietary syntax of international standards, and thus also easier to preserve than proprietary representations. Lastly, techniques from databases will be extended to extract and populate these representations from existing design tools and engineering documentation.This approach form the basis of a Digital Archive Toolkit for Engineering (DATE), a set of tools to be developed and tested in collaboration with the government/industrial partner Honeywell FM&T. Working with data from the United States Department of Energy, the PIs will work with the agency-wide Advanced Design and Production Technologies Initiative (ADAPT) team to apply techniques developed in this research to indexing and storage of engineering data used at the Kansas City Plant (KCP). The objective is to extract data to create Digital Engineering Archives, enable answers to meaningful engineering queries on archives of 3D engineering knowledge, and support long-term engineering knowledge preservation.Intellectual MeritsThe relationships among shape and form, structure and function, and behavior and semantics are among the most fundamental questions studied by science and engineering. It is precisely these relationships that must be captured in Digital Engineering Archives. While these problems are large in scope, by focusing on the vital domain of discrete part manufacturing., the proposed project is poised to produce theoretical results, novel techniques, in addition to prototype systems. The aggregate output of the proposed project includes advancements in representation and retrieval algorithms, as well as contributions in basic computer science and engineering design and manufacturing. The scope of the research spans pattern recognition, knowledge representation, database semantics, as well as CAD/CAM/CAPP/PDM/PLM. Broader ImpactsThis research bridges the print information gap by developing a dynamic, self-describing and information-rich alternative to the part print to create Digital Engineering Archives. The availability of such a format will enable the creation of systems for archival, retrieval and reuse of engineering knowledge and activities for design teams operating throughout the product life cycle, which may be 10, 25, or 50 or more years. The proposed DATE system will have an immediate impact on the ability of industry to create data archives. Lastly, the team's collaboration with industrial and government partners position this project to have a significant positive effect on emerging NIST, W3C and ISO standards, and on commercial CAD/CAM/PDM/PLM software systems.Educational Impact The project aims to create a novel experience for its graduate and undergraduate students, as well as for the investigators from industry, government and academia. Leveraging Drexel's cooperative education programs (both graduate and undergraduate), the investigators plan extensive personnel exchanges with DOE, NIST and other agencies. Lastly, the team will develop educational and tutorial materials to demonstrate to the engineering community how to apply computer and information science to create and maintain Digital Engineering Archives.

对于许多行业，工程设计和制造数据需要保留50至75年的寿命。传统的数字数据管理技术通常取决于商业软件系统的专有形式，并且不能保证长期内数据的可读性和实用性。因此，尽管3D CAD建模已变得必不可少，但工程部分打印（即2D图）仍然是设计知识档案的主要方法。 3D CAD中有关功能，制造过程和人工制品行为的丰富知识在翻译中简直就是丢失。研究小组建议为存档3D CAD对象开发一种表示和算法技术。该方法是通过工程语义和域驱动的分段算法的正式模型来增强基于形状的表示。理由是，低级形状信息在不直接上代表，易于保存。尽管本机CAD/CAM格式是专有的，而且很难保存，即使在增量产品版本中也是如此。工程语义将基于新兴的W3C，语义Web，ISO和NIST标准形式主义，这些形式主义需要扩展以处理针对复杂工程文物的新数据类型。这些将是国际标准的非专有语法中描述的数学逻辑，因此比专有表示更容易保存。最后，将扩展数据库的技术以从现有设计工具和工程文档中提取和填充这些表示形式。此方法构成了工程数字存档工具包（日期）的基础，这是一套与之合作开发和测试的工具政府/工业合作伙伴霍尼韦尔FM＆T。与美国能源部的数据合作，PIS将与代理商范围的高级设计和生产技术计划（ADAPT）团队合作，以应用这项研究中开发的技术来索引和存储堪萨斯城工厂使用的工程数据（KCP）。目的是提取数据以创建数字工程档案，为3D工程知识的档案中有意义的工程查询提供答案，并支持长期工程知识保护。智能符合形状和形式，结构和功能以及行为和语义之间的关系是科学与工程研究最根本的问题之一。正是这些关系必须在数字工程档案中捕获。尽管这些问题的范围很大，但通过关注离散零件制造的重要领域，但提出的项目有望产生理论结果，除了原型系统外，还可以产生新颖的技术。拟议项目的总产出包括代表和检索算法的进步，以及基本计算机科学和工程设计和制造的贡献。研究范围跨越模式识别，知识表示，数据库语义以及CAD/CAM/CAPP/PDM/PLM。更广泛的影响，这项研究通过开发动态，自称和信息丰富的零件打印替代品来创建数字工程档案，从而弥合了印刷信息差距。这种格式的可用性将使在整个产品生命周期中运行的设计团队的档案，检索和重新使用档案，检索和重复使用系统，这可能是10、25或50年或更长时间。拟议的日期系统将立即影响行业创建数据档案的能力。最后，该团队与工业和政府合作伙伴的合作定位该项目对新兴NIST，W3C和ISO标准以及商业CAD/CAD/CAM/PDM/PLM软件系统产生重大积极影响。其研究生和本科生以及行业，政府和学术界的调查人员的经验。调查人员利用Drexel的合作教育计划（研究生和本科生），计划与DOE，NIST和其他机构进行大规模的人员交流。最后，团队将开发教育和教程材料，以向工程社区展示如何应用计算机和信息科学以创建和维护数字工程档案。