Topological integration of BIM and geospatial water utility networks across the building envelope. (March 2021)

• Record Type: Journal Article
• Authors: Gilbert, Thomas; James, Philip; Smith, Luke; Barr, Stuart; Morley, Jeremy
• Is Part Of: Computers, environment and urban systems. Volume 86(2021)
• Publication Date: 2021-03
• Subjects: City planning -- Data processing -- Periodicals; Regional planning -- Data processing -- Periodicals; 303.4834
• DOI: 10.1016/j.compenvurbsys.2020.101570
• Languages: English
• ISSNs: 0198-9715

Abstract

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. Highlights: Spatial, heuristic, weight-based, multi-criteria algorithm for inference of GIS-BIM trans-boundary utility network topology. GNSS survey to measure positional accuracy of underground utility assets and sensitivity analysis of algorithm to uncertainties. Quantitative analysis of the impacts of dependencies on incomplete semantic representations of assets. Explanation of application to network robustness and reducing the risk of underground utility strikes. Recommend standardised identification of flow terminals and corroboration of BIM model georeferences.