A comparative study to determine a suitable representational data model for UK building regulations
A comparative study to determine a suitable representational data model for UK building regulations
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一项比较研究，以确定适合英国建筑法规的代表性数据模型
DOI：
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发表时间：
2013
影响因子：
3.5
通讯作者：
B. Kumar
中科院分区：
文献类型：
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作者：
L. McGibbney;B. Kumar
在建筑和工程领域内提高充分遵守法规的水平的概念绝不是一个新现象。在过去的几十年里，人们一直致力于根据监管建筑规范进行半自动/全自动设计检查。在经历了学术界的普及后，由于建筑信息建模（BIM）在建筑领域的持续采用，该研究课题再次引起了人们的极大兴趣，其中包括频繁更新建筑监管文件，特别是与建筑物能源效率等可持续性相关问题。这种兴趣只会增加，因为我们见证了这种新的BIM范式在迄今为止尚未触及的学科中的进一步广泛采用。不幸的是，BIM范围内的设计检查仍然面临着国家和地方法规方面的重大问题，因为尚未实施可持续的合理或可扩展的方法来确保合规规则与这些背景下的现行立法一致。这项工作的问题，一个合适的代表性的数据格式，英国建筑和工程法规的重点是机器可处理的格式完全建立在开放的数据标准，然后可以为解决上述问题的基础。我们比较了两个现有的立法数据模型，即官方立法标记语言（CLML）和Akoma Ntoso，同时在此过程中，对每个模型的适用性进行评级，以最准确地适应和表达典型建筑法规的领域和专业特定性质。研究结论表明，CLML的设计、管理和当前可用性导致了广泛采用存在障碍的情况，这包括建立支持该语言的社区。另一方面，Akoma Ntoso专注于围绕拟议的标准建立社区。这增加了分阶段组织过渡到标准的可能性，以实现改进的代表性数据建模。
The notion of advancing levels of adequate regulatory compliance within the domain of construction and engineering is by no means a new phenomenon. An extensive degree of effort has over a number of decades previously focused on semi/fully automating design checking against regulatory building codes. After experiencing somewhat of a dip in popularity within academia, this research topic is once again of great interest due to the on-going adoption of Building Information Modelling (BIM) within the construction domain among other drivers like frequent updates to building regulatory documents particularly in relation to sustainability related issues like energy efficiency of buildings. This interest will only increase as we witness further widespread adoption of this new BIM paradigm across until now untouched disciplines. Unfortunately design checking within the remit of BIM still faces major problems with respect to national and local regulations as no sustainably sensible or scalable method has yet been implemented to ensure compliance rules are consistent with current legislation within these contexts. This work questions a suitable representational data format for UK construction and engineering regulations focusing on machine processable formats built entirely on open data standards which can then set the basis for addressing the aforementioned issues. We compare two existing legislation data models, namely the Crown Legislation Markup Language (CLML) and Akoma Ntoso, whilst in the process grading each on its suitability for most accurately accommodating and expressing the domain and profession specific nature of typical building regulations. The study conclusions indicate that the design, management and current availability of the CLML has resulted in a scenario where barriers exist to widespread adoption, this includes building out community in support of the language. Akoma Ntoso on the other hand has focused on building community around the proposed standard. This increases the likelihood of phased organisational transition towards the standard for achieving improved representational data modelling.