Automation in construction/project management

施工/项目管理自动化

• 批准号: 4430-2010
• 负责人: Moselhi, Osama
• 金额: $ 3.79万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=544190
• 关键词: Automation; construction; project; management

The aim of this research proposal is to advance the body of knowledge and expand upon the development made by the applicant and his coworkers, over the term of the current Discovery Grant, in two major areas: 1) intelligent systems and methods for sustainable civil infrastructure systems (CISs), focusing primarily on municipal infrastructure (MI), which represents 70% of CISs in Canada, and 2) information technology (IT)-based construction management techniques and decision support systems for optimized delivery of constructed facilities. The deteriorating condition of civil infrastructure in North America gave rise to public concern and attracted considerable attention from government agencies, industry professionals and academics over the last l5 years. The ASCE's 2009 "Report Card" on the status of CIS depicts near failing grade (D-) for the condition of water and wastewater infrastructure in the USA. The picture is not much different in Canada's estimated $1.6 trillion civil infrastructure. The proposed research focuses on (1) studying, modeling and developing non-invasive, non-destructive and smart inspection and innovative condition assessment methods for water, wastewater and sewer networks, and on developing algorithms, methods and automated systems -in an integrated environment- to support optimized investment planning and budget allocation for sustainable municipal infrastructure; and (2) exploring and expanding the research conducted on automated site date acquisition and on IT-based construction engineering and management methods using optimization algorithms, intelligent systems and spatial, wireless communication and web enabling technologies for data and knowledge capturing and processing with a focus on improving productivity and competitiveness of Canadian construction industry. The proposed program contributes to training of highly qualified personnel in vital sectors of the Canadian economy. It leverages the resources provided by a major CFI research infrastructure grant that provides the required computing facilities for the proposed research.

这项研究计划的目的是推进知识体系，并扩大申请人及其同事在当前发现补助金期限内在两个主要领域的发展：1）可持续民用基础设施系统（CIS）的智能系统和方法，主要集中在市政基础设施（MI），这占加拿大CIS的70%，2）以信息技术为基础的施工管理技术和决策支持系统，以优化施工设施的交付。在过去15年中，北美民用基础设施状况的恶化引起了公众的关注，并引起了政府机构、行业专业人士和学术界的极大关注。ASCE 2009年关于CIS状况的“成绩单”描述了美国水和废水基础设施状况的近不及格（D-）。在加拿大估计1.6万亿美元的民用基础设施中，情况没有太大不同。拟议的研究重点是（1）研究，建模和开发水，废水和下水道网络的非侵入性，非破坏性和智能检测和创新状态评估方法，并在集成环境中开发算法，方法和自动化系统，以支持可持续市政基础设施的优化投资规划和预算分配;以及（2）探索和扩大在自动化现场数据采集和基于信息技术的建筑工程和管理方法方面进行的研究，这些方法使用优化算法、智能系统和空间，无线通信和网络使能技术，用于数据和知识捕获和处理，重点是提高生产力，加拿大建筑业的竞争力。拟议的方案有助于在加拿大经济的重要部门培训高素质的人才。它利用了CFI研究基础设施拨款提供的资源，该拨款为拟议的研究提供了所需的计算设施。