基于BIM和规则推理的施工进度计划自动编排

郭红领; 叶啸天; 任琦鹏; 罗柱邦

doi:10.16511/j.cnki.qhdxxb.2022.22.001

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清华大学学报（自然科学版） ›› 2022, Vol. 62 ›› Issue (2) : 189-198. DOI: 10.16511/j.cnki.qhdxxb.2022.22.001

专题：建设管理

基于BIM和规则推理的施工进度计划自动编排

郭红领, 叶啸天, 任琦鹏, 罗柱邦

作者信息 +

Automatic generation of construction schedules based on BIM and rule reasoning

GUO Hongling, YE Xiaotian, REN Qipeng, LUO Zhubang

Author information +

文章历史 +

摘要

进度计划是施工管理、施工过程模拟的重要依据，自动生成进度计划能够提高编制准确性和效率。但是，现有相关研究大多采用基于案例或模板的方式，无法实现项目的精确匹配，且仅考虑了空间上的约束关系，未梳理详细的知识规则。该研究面向建筑工程中常见的装配整体式项目，分解适用于进度计划自动生成的施工基本活动，建立编码体系，分析各类构件或施工活动之间的约束规则，推理各施工活动间的逻辑顺序，并基于工业基础类（IFC）格式的建筑信息模型（BIM）提取工程量来计算施工活动持续时间，最终实现构件级进度计划的自动生成。该研究结果可为施工过程模拟及施工自动化提供施工进度，支持智能施工机械的有效运行。

Abstract

Construction schedules are key to effective construction management and construction process simulations. Automatically generated schedules can improve scheduling accuracy and efficiency. However, most relevant research has focused on case-based or model-based approaches which cannot accurately match the conditions in other projects and only consider spatial constraints without detailed knowledge rules. This research focuses on the most common hybrid concrete structures. This article describes the coding system and the decomposition of the construction activities suitable for automatic scheduling. The constraint rules between various components or construction activities are then analyzed to infer the logical sequences between them. The building quantities extracted from the building information modeling (BIM) based on the industry foundation classes (IFC) are used to calculate the duration of each construction activity to automatically generate component-level schedules. This then provides the time sequence for construction simulation and automation for intelligent construction equipment.

导出引用

郭红领, 叶啸天, 任琦鹏, 罗柱邦. 基于BIM和规则推理的施工进度计划自动编排[J]. 清华大学学报（自然科学版）. 2022, 62(2): 189-198 https://doi.org/10.16511/j.cnki.qhdxxb.2022.22.001

GUO Hongling, YE Xiaotian, REN Qipeng, LUO Zhubang. Automatic generation of construction schedules based on BIM and rule reasoning[J]. Journal of Tsinghua University(Science and Technology). 2022, 62(2): 189-198 https://doi.org/10.16511/j.cnki.qhdxxb.2022.22.001

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基金

国家自然科学基金项目（51578318）；清华大学国强研究院项目（2019GQI0003）

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收稿日期	出版日期
2021-08-15	2022-02-15
发布日期
2022-01-22

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