宾夕法尼亚州领导的团队研究资本项目的数字建模

它需要大量数据才能将一个大规模，昂贵的建筑项目从设计转移到现实。数字建模（也称为建筑信息建模或BIM）通过将大量项目数据编译到组织良好的中央存储库中来提高构建效率，并节省构建项目的时间和资源。

宾夕法尼亚州立大学（宾夕法尼亚州立大学）的约翰·梅斯纳（John Messner），查尔斯（Charles）和埃利诺·马特（Elinor Matts）建筑工程教授，领导着一个240,000美元的建筑工业学院（CII）资助的项目，用于研究已经使用数字建模的建筑项目，并为汇编了推荐的最佳实践组织，检索和分析项目数据，通常包括三维模型和其他不同设施信息来源。

梅斯纳说：“该项目着重于我们如何在使用数字建模的使用以及如何在整个项目的生命周期中利用模型来改善建筑行业。”“我们将研究高性能的设施项目，并了解他们如何做到这一点，以及Whythy's Rescessful，然后提出最佳实践和方法将其提升到一个新的水平。” 

首席调查人员罗伯特•莱克特说,组合e professor of architectural engineering, and Chris McComb, assistant professor of engineering design and mechanical engineering, will work with Messner on the research for the grant, as well as representatives from several industry partners including Smithsonian Institution, Autodesk, Fluor Corporation, Oracle Corporation, Dow Chemical Company and others, who will help identify projects for use as case studies.

Democratized manufacturing processes

麦克科姆说，该团队将考虑分布式的民主化制造流程或不集中在特定工厂中的流程，并由3D打印机，乘客喷气机，大量能源产品等人控制，例如燃气轮机和来自几家航空航天初创公司的项目吉尔莫太空技术。

在检查高性能案例研究时，研究人员将确定最佳实践和方法来利用188BET金宝搏下载数据来支持增加的协作和集成，然后扩展这些最佳实践，以制定行业专业人员的准则，以使用以数字模型为中心的方法来计划和交付未来的项目。

“We’re looking beyond traditional construction to identify paradigm-breaking best practices,” McComb said. “Leveraging data-informed models throughout the construction life cycle will make it easier for different stakeholders to communicate and exchange data. This will fundamentally alter the bottom line, making it possible to deliver projects more quickly, safely and inexpensively.”

数字模型

梅斯纳（Messner）表示，建筑行业的挑战之一是获得跨学科的团队，包括设计师，供应商，顾问，所有者和熟练的工人 - 共同努力并在一个大型资本项目上进行有效交流。数字模型可以确保团队在施工计划，成本评估以及提供项目所需的其他细节方面都在同一页面上。

“If it’s deployed early in a project, digital modelling approaches set up a focus for a team to follow,” Messner said. “That entire team could define the best way to work together by getting information from the models, which would be the foundation of their daily work activities. Hopefully this study is a catalyst to help project teams more effectively deliver their projects using digital models in the future.”

Better understanding of data-centric technologies

Based at the University of Texas at Austin,CIIis a membership-based research and development centre for the capital-projects industry. It is a three-way research partnership among owners, contractors and researchers in academia and funds research on construction, commercial buildings, manufacturing and life sciences, power and utilities, oil and gas, infrastructure and more. It provides several webinars and events throughout the year, including an annual conference, where Messner and his team will present their findings in 2021.

“This study will allow CII members to better understand the data-centric technologies and processes that can lead to more collaborative delivery of capital projects,” said Daniel Oliveira, associate director for funded studies at CII. “The integrated data management strategies and illustrative case studies will guide members to make more informed decisions and navigate the increasingly complex aspects of data management when planning for new projects.”