Enabling technologies towards a semantic model-based decision support framework for construction operations

建筑作业是高度动态的。制定管理和控制这些操作的决策需要决策支持工具，这些工具可以有效地跟踪与原始计划的偏差，并促进对备选方案和行动过程的评估。传统工具主要围绕面向数据的信息系统，建模能力有限。本研究旨在开发一个基于模型的决策支持框架。该框架的核心组件是一个全面的仿真模型，该模型捕捉施工作业的动态，并能够模拟不同条件下的操作行为。然后，可以将该模型用作实际操作的虚拟对应物，以测试和评估不同决策对操作性能的影响。为了实现本研究的目标，采用先进的分布式仿真和数据挖掘技术对操作的不同方面进行建模，并使用语义数据模型将仿真连接和集成。该研究应用于四个不同的建筑领域，包括工业建筑脚手架、土方工程、采矿作业和建筑设备管理。

Construction operations are highly dynamic. Making decisions to manage and control these operations require decision support tools that can efficiently track the deviations from original plans and facilitate the evaluation of alternative scenarios and courses of actions. Traditional tools are mostly centered around data oriented information systems with limited modeling capabilities. This research aims at developing a model-based decision support framework. The core component of such framework is a comprehensive simulation model that captures the dynamics of a construction operation and is capable of simulating the behaviors of the operation under different conditions. The model can then be used as a virtual counterpart to the real life operation to test and evaluate the effects of different decisions on the performance of the operation. To achieve the goals of this research, advanced distributed simulation and data mining techniques are used to model the different aspects of the operations and semantic data models are used to link and integrate the simulations. The research is applied to four different construction domains that include industrial construction scaffolding, earth moving projects, mining operations, and construction equipment management.