构建需求的自动遵从性检查的规则捕获:审查

Zijing Zhang, Ling Ma, T. Broyd
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引用次数: 0

摘要

在建筑、工程和施工(AEC)行业,建筑设计在最终确定并进入施工阶段之前需要根据法规进行检查。传统的手工遵从性检查过程容易出错且耗时。作为解决方案,提出了自动遵从性检查(ACC)。规则捕获是ACC的一个关键瓶颈。尽管在这一领域有许多研究,但没有一项研究综合了这些主题并确定了未来的研究机会。本文旨在通过进行系统的文献综述和确定该领域面临的挑战来填补这一空白。调查结果显示,规则捕获过程在过去几年中获得了兴趣,并且提出了更多的半自动化和自动化方法。目前的代表性发展过程缺乏方法论背景。现有的表示不能表示“未知”和“副作用”,缺乏处理模糊规则的能力,并且通常受到规则引擎和/或目标数据模型的限制。对规则、表示以及它们之间关系的理解不足。需要进一步的研究来解决这些问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rule capture of automated compliance checking of building requirements: a review
In the Architectural, engineering and construction (AEC) industry, building design needs to be checked against regulations before it can be finalised and progress to the construction stage. The traditional manual compliance checking process is error-prone and time-consuming. As a solution, automated compliance checking (ACC) was proposed. Rule capture is a crucial bottleneck of ACC. Despite many studies in this domain, no research has synthesised the themes and identified future research opportunities. This paper aims to fill this gap by conducting a systematic literature review and identifying challenges facing this field. Findings revealed that the rule capture process had gained interest in the past years and more semi-automated and automated methods have been proposed. The current representation development process lacks a methodological backdrop. The existing representations cannot represent “unknowns” and “side-effects”, lack the ability to deal with ambiguous rules and are typically restricted by the rule engine and/or target data model. The understandings of rules, representations, and the relationships between them are insufficient. Further research is required to address these issues.
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CiteScore
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