In the twelfth five-year plan from 2011 to 2015, the government released the development framework of construction information technology. Because of the twelfth five-year plan; Building Information Modelling (BIM) has begun to become popular since 2011 and to be defined as a strategic area by the Ministry of Housing and Urban-Rural Development. It also provides a research foundation for China to achieve high quality and low carbon urbanisation. The evolution of the BIM technology is crating major impacts on the optimisation of many project requirements for example design for time, cost, quality, environment, logistic, buildability and safety. .With few notable exceptions, most of the academic and industrial research on computer-aided design and visualization in construction deals with building design and with pre-construction planning. There has been far less effort to develop BIM based tools to support fine-grained construction management on site. In industry, software applications have been developed to support 4D animation of CAD models for construction planning, but not for production management. .The proposed research project also aims to determine the scope and effect of the mechanisms by which sophisticated BIM databases and interfaces can improve construction site productivity at the job site. The first deliverable will be a set of information delivery interfaces. The second deliverable will detail the benefits integration of the interfaces in construction management information systems can provide to construction workers (remuneration, working conditions, safety), general contractors (smoothed workflows, reduced waste, increased prefabrication) and building owners (cost, schedule, quality). Through the evaluation of all these information through novel Bayesian networks, the research will finally establish the value proposition of BIM tools adapted for use in construction planning and production management. .The motivation for this project is to formulate the construction software companies’ future software. Thus the primary objective against which this project will be assessed will be the research team’s degree of success in obtaining industry funding to support this work and for ongoing research to implement prototype tools.
2002年开始,建筑信息模型(BIM)逐步席卷欧美的工程建设行业,为建筑的智能绿色设计和施工带来了革命性变化。在我国的十二五规划中,政府也明确BIM将作为推进重点,也出台了“2011-2015建筑业信息化发展纲要”,目的就是要尽快提升建设行业整体生产效率和国际竞争力,实现国民经济的可持续发展。本项目将致力于研究优化建筑信息模型的信息流算法,同时结合建筑信息模拟系统开发出一套完备的计算机软件工具,用以准确评估工程建设过程中的各个环节的实际价值,并进行比较选择,从而进行精细化流程管理并且准确地指导建设全过程。其中可完成如下三个成果,一是研究一套信息输送界面,二是明确整合的工程管理信息系统的界面所带来的益处,三是通过使用贝叶斯网络的价值来优化建筑信来优化建筑信息模型的信息流算法并评估现场信息。
随着信息化时代的到来,多行业正历经着产业化结构与体系的变革。建筑工程行业(AEC)作为高消耗、高投入的产业之一,同样需要在传统技术与行业架构的基础上进行创新。建筑工程项目中最复杂,最多学科参与,同时也是最多变的环节就是施工过程。本课题运用建筑信息模型软件(BIM技术)模拟建筑工程项目的施工过程,并结合采集的实际工程案例数据,对整体项目施工过程中,因受各种不确定性影响因素所导致可能存在的生产计划变更进行合理科学的评估预测及信息更新,优化针对项目施工过程的时间进度模拟和预估步骤,提升信息的流动性与预测的可信度,以确保各项生产任务按时完成,从而提高施工环节的生产效率,减少项目整体的资源浪费。基于本课题所研发的施工过程影响因素预测系统作为课题成果,已在多个试点项目中验证了其有效性与可靠性。之后的相关研究将以本课题研究成果为基础,进一步探索如何提升系统与建筑信息模型针对不同建筑及基础设施项目的预测准确度以及施工优化方案。完善后的系统将不仅包含施工工期进度的预测,还将包含针对成本的精确预估、施工信息整合优化与质量把控风险评估,从而使研究能够更好地服务于实际项目的应用,提高资源使用效率,减少浪费,节约成本并提升项目整体的生产力。
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数据更新时间:2023-05-31
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