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Linked-Data based Constraint-Checking (LDCC) to support look-ahead planning in construction
Automation in Construction ( IF 10.3 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.autcon.2020.103369
Ranjith K. Soman , Miguel Molina-Solana , Jennifer K. Whyte

Abstract In the construction sector, complex constraints are not usually modeled in conventional scheduling and 4D building information modeling software, as they are highly dynamic and span multiple domains. The lack of embedded constraint relationships in such software means that, as Automated Data Collection (ADC) technologies become used, it cannot automatically deduce the effect of deviations to schedule. This paper presents a novel method, using semantic web technologies, to model and validate complex scheduling constraints. It presents a Linked-Data based Constraint-Checking (LDCC) approach, using the Shapes Constraint Language (SHACL). A prototype web application is developed using this approach and evaluated using an OpenBIM dataset. Results demonstrate the potential of LDCC to check for constraint violation in distributed construction data. This novel method (LDCC) and its first prototype is a contribution that can be extended in future research in linked-data, BIM based rule-checking, lean construction and ADC.

中文翻译:

基于关联数据的约束检查 (LDCC) 以支持施工中的前瞻性规划

摘要 在建筑领域,复杂的约束通常不会在传统的调度和 4D 建筑信息建模软件中建模,因为它们是高度动态的并且跨越多个领域。此类软件中缺乏嵌入式约束关系意味着,随着自动数据收集 (ADC) 技术的使用,它无法自动推断出进度偏差的影响。本文提出了一种使用语义网络技术对复杂调度约束进行建模和验证的新方法。它使用形状约束语言 (SHACL) 提出了一种基于关联数据的约束检查 (LDCC) 方法。使用这种方法开发原型 Web 应用程序并使用 OpenBIM 数据集进行评估。结果证明了 LDCC 在检查分布式施工数据中的约束违规方面的潜力。这种新颖的方法 (LDCC) 及其第一个原型是可以在链接数据、基于 BIM 的规则检查、精益施工和 ADC 的未来研究中扩展的贡献。
更新日期:2020-12-01
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