Decision support systems for construction and automation of project management techniques

拟议的研究计划旨在推进建筑业自动化和决策支持系统领域当前发现资助期间取得的研究成果和发展。该研究计划旨在开发：1）基于自动化信息技术的施工管理技术和决策支持系统，以优化建筑项目和设施的交付。2)用于可持续基础设施系统的智能系统和方法。在自动化决策支持系统领域，重点将主要是开发建筑工程和管理工具，方法和支持系统，使用智能系统，无线通信和网络技术进行数据和知识处理，重点是提高加拿大建筑业的生产力。这包括使用3D虚拟和网络环境开发动态材料起飞和成本估算，建筑物的维护和修复计划以及可持续建筑的生命周期分析和成本计算。在可持续基础设施领域，重点将主要放在开发桥梁维护和修复计划的智能系统上。桥梁的老化已成为一个主要的安全和经济问题。造成这一问题的主要因素之一来自基础设施检查和监测期间收集的不可靠数据。最终，基于这些信息和数据的维护和修复决策并不可靠和具有竞争力。它表明，迫切需要引入和测试一种方法，以评估通过检查和无线通信技术收集的数据的可靠性，并开发智能决策支持系统，以协助规划和预算的基础设施的维护和修复的基础上，其生命周期的成本。因此，拟议的研究计划有助于提高建筑生产力，以及改善公共安全和经济福祉。拟议的方案还将有助于培训加拿大经济重要部门的高素质人才。

The proposed research program aims at advancing the research results and developments achieved during the term of the current discovery grant in the area of automation and decision support systems for construction industry. The research program aims at the development of: 1) automated information-technology based construction management techniques and decision support systems for optimized delivery of building projects and facilities. 2) intelligent systems and methods for sustainable infrastructure systems. In the area of automated decision support systems the focus will primarily be on the development of construction engineering and management tools, methods and support systems using intelligent systems, wireless communication and web technologies for data and knowledge processing with a focus on improving productivity of the Canadian Construction Industry. This include developing a dynamic material takeoff and cost estimation using 3D-Virtual and web environment, maintenance and rehabilitation plans for buildings and lifecycle analysis and costing for sustainable buildings. In the area of sustainable infrastructure the focus will primarily be on developing intelligent systems for maintenance and rehabilitation plans for bridges. The deterioration of bridges has become a major safety and economic concern. One of the major factors causing this problem comes from the unreliable data gathered during the inspection and monitoring of the infrastructure. Eventually, the maintenance and rehabilitation decisions based on this information and data are not as reliable and competitive. It shows that there is a dire need to introduce and test a methodology to evaluate the reliability of data collected through inspections and wireless communication techniques, and to develop intelligent decision support systems to assist in planning and budgeting the maintenance and rehabilitation of the infra-structure based on its lifecycle cost. The proposed research program, accordingly, contributes to efforts being made to improve construction productivity, as well improve public safety and economic well being. The proposed program will also contribute in training of highly qualified personnel in vital sectors of Canadian economy.