Abstract Utility networks comprise a fundamental part of our complex urban systems and the integration of digital representations of these networks across multiple spatial scales can be used to help address priority challenges. Deteriorating water utility infrastructure and low routing redundancy result in network fragility and thus supply outages when assets fail. Water distribution network configurations can be optimised for higher resilience but digital representations of the networks used for simulations and analyses are not integrated with the finer scale networks inside buildings. This integration is hindered by differences in conceptualisation and semantics employed by the relevant data standards. We suggest that the geospatial and geometric data contained in Building Information Modelling (BIM) and water distribution network (WDN) models can be used for their integration; and that this supports the use cases of optimising dynamic network partitioning, reducing the risk of underground utility strikes and planning for future network configurations with higher topological redundancy. In this study, we develop and demonstrate the application of a weight-based spatial algorithm for inferring water network connections between urban-scale WDNs and BIM models, showing that spatial data can be used in the absence of complete or consistent semantic representations. We suggest that the method has potential for transferability to infrastructure for other utility resources (such as waste water, electricity and gas) and make recommendations such as standardising the representation of connection points between disjoint utility network models and extending the normal practical spatial remit of BIM MEP modelling to encompass the space between buildings and WDNs.

中文翻译：

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建筑围护结构中 BIM 和地理空间水公用事业网络的拓扑集成

摘要 公用事业网络是我们复杂城市系统的基本组成部分，这些网络跨多个空间尺度的数字表示的集成可用于帮助解决优先挑战。不断恶化的供水基础设施和低路由冗余导致网络脆弱，从而在资产出现故障时供应中断。可以优化配水网络配置以获得更高的弹性，但用于模拟和分析的网络的数字表示并未与建筑物内更精细的网络集成。这种集成受到相关数据标准所采用的概念化和语义差异的阻碍。我们建议可以使用建筑信息模型 (BIM) 和配水网络 (WDN) 模型中包含的地理空间和几何数据进行集成；并且这支持优化动态网络分区的用例，降低地下公用事业罢工的风险并规划具有更高拓扑冗余的未来网络配置。在这项研究中，我们开发并演示了基于权重的空间算法的应用，用于推断城市规模 WDN 和 BIM 模型之间的水网络连接，表明可以在缺乏完整或一致的语义表示的情况下使用空间数据。我们建议该方法有可能转移到其他公用事业资源（例如废水、