Automation in construction/project management

施工/项目管理自动化

• 批准号: RGPIN-2015-05567
• 负责人: Moselhi, Osama
• 金额: $ 1.82万
• 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: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=660314
• 关键词: Automation; construction; project; management

The aim of this research proposal is to advance the body of knowledge; expanding upon the development made by the applicant and his coworkers, over the term of the current Discovery Grant and its DAS supplement 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, electric power grids and bridges, 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 20 years. The ASCE's 2013 "Report Card" assigns near failing grade (D+) to CISs and (D) for the condition of water and wastewater and roads infrastructure in the USA; projecting needed investment of $3.6 trillion by the 2020. The picture is not much different in Canada's estimated $1.6 trillion civil infrastructure. The proposed program of research will address the following key areas (1) study, model and develop non-invasive, non-destructive and smart inspection and innovative condition assessment methods for bridges, water, wastewater and sewer, and road networks, considering their spatial and functional interdependencies. As well, to investigate, plan and develop algorithms, methods and automated systems to support optimized intervention plans and rational budget allocation for sustainable civil infrastructure; and (2) explore and expand upon the innovative research conducted on automated site date acquisition and on IT-based construction engineering and management methods using rapid prototyping for testing performance of designed configurations of remote sensing hardware and related software, optimization algorithms, intelligent systems and spatial, wireless sensors networks and web enabling technologies for data capturing, organization and processing with a focus on improving productivity, safety and competitiveness of Canada's $290+ billion (capital expenditures) construction industry according to Statistic Canada for 2013. The proposed program, accordingly, contributes to efforts being made to protect and improve public health, safety and economic wellbeing, and towards the 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 and internal financial support to qualified graduate students and postdoctoral fellows.********

本研究提案的目的是推进知识体系;扩大申请人及其同事在当前发现补助金及其DAS补充的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%，电网和桥梁，以及2）基于信息技术（IT）的施工管理技术和决策支持系统，用于优化施工设施的交付。在过去20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的2013年“成绩单”为CIS和美国的水和废水以及道路基础设施状况分配了接近失败的等级（D+）;预计到2020年需要3.6万亿美元的投资。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。拟议的研究计划将涉及以下关键领域：（1）研究，建模和开发非侵入性，非破坏性和智能检测以及桥梁，水，废水和下水道以及道路网络的创新状况评估方法，考虑其空间和功能的相互依赖性。此外，调查、规划和开发算法、方法和自动化系统，以支持优化的干预计划和合理的预算分配，促进可持续民用基础设施;以及（2）探索和扩展在自动化网站数据采集和IT方面进行的创新研究，使用快速原型法测试遥感硬件及相关设备设计配置性能的基于建筑工程和管理方法软件，优化算法，智能系统和空间，无线传感器网络和网络使能技术，用于数据捕获，组织和处理，重点是提高加拿大2900多亿美元（资本支出）建筑业的生产力，安全性和竞争力。因此，拟议的方案有助于保护和改善公共卫生、安全和经济福利的努力，并有助于在加拿大经济的重要部门培训高素质的人员。它利用了CFI研究基础设施补助金提供的资源，该补助金为合格的研究生和博士后研究员提供拟议研究和内部财政支持所需的计算设施。