GeoBIM for built environment condition assessment supporting asset management decision making

Moretti, Nicola; Ellul, C; Cecconi, Fulvio Re; Papapesios, Nikolaos; Dejaco, Mario Claudio

doi:10.1016/j.autcon.2021.103859

Cited by 34 publications

(30 citation statements)

References 30 publications

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“…The adoption of mobile mapping technology in various applications has proven to not only increase productivity but also reduce the cost of operation. For instance, using digital assets for construction has led to a boost in productivity for the global construction sector by 14-15% [163]. In addition, digitizing historic structures through creating BIMs using mobile mapping data enables prevention conservation for heritage buildings which saves 40-70% of the maintenance cost [164].…”

Section: Discussionmentioning

confidence: 99%

A Review of Mobile Mapping Systems: From Sensors to Applications

Elhashash

Albanwan

Qin

2022

Sensors

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The evolution of mobile mapping systems (MMSs) has gained more attention in the past few decades. MMSs have been widely used to provide valuable assets in different applications. This has been facilitated by the wide availability of low-cost sensors, advances in computational resources, the maturity of mapping algorithms, and the need for accurate and on-demand geographic information system (GIS) data and digital maps. Many MMSs combine hybrid sensors to provide a more informative, robust, and stable solution by complementing each other. In this paper, we presented a comprehensive review of the modern MMSs by focusing on: (1) the types of sensors and platforms, discussing their capabilities and limitations and providing a comprehensive overview of recent MMS technologies available in the market; (2) highlighting the general workflow to process MMS data; (3) identifying different use cases of mobile mapping technology by reviewing some of the common applications; and (4) presenting a discussion on the benefits and challenges and sharing our views on potential research directions.

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Section: Discussionmentioning

confidence: 99%

A Review of Mobile Mapping Systems: From Sensors to Applications

Elhashash

Albanwan

Qin

2022

Sensors

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“…As BIM data often contains more detail than GIS (Ohori et al, 2018), the complex geometry from the conversion can cause issue in the GIS system. In the process of integrating BIM and GIS for condition assessment for asset management, it was noted that geometry from BIM needed to be simplified before being visualized in GIS platform (Moretti et 2021).…”

Section: Representation Conversion and Geometric Challengesmentioning

confidence: 99%

“…As both BIM and GIS model the built environment, the integration of BIM and GIS, termed as GeoBIM, is widely acknowledged in both domains to be crucial and mutually beneficial for the realization of 3D city modelling (Ohori et al, 2018). A number of applications across various domains have been identified which can benefit from the integration, including 3D cadastres, location-based services and navigation, asset management, site selection and planning, and construction coordination of infrastructure projects (Boyes et al, 2017;Liu et al, 2017Liu et al, , 2021Noardo, Wu, et al, 2020;Moretti et al, 2021). More specific analyses include automatic check of the derived height of a planned building against the maximum height allowed in the development plan (Olsson et al, 2018), parking availability, shadow analysis and other environmental impact of a proposed building in planning (Noardo, Ellul, et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Quantifying Geometric Changes in Bim-Gis Conversion

Liu

Ellul²

2022

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. A conversion process is often carried out to migrate data during BIM and GIS integration, often from the highly detailed BIM to the less detailed GIS environment. Due to the differences between the two systems, information loss occurs during conversion. While research has been focusing on addressing information loss on the semantics, it is also necessary to quantify geometric changes resulted from converting geometry representations used in the two systems. This paper describes a preliminary study which evaluates the geometric changes during conversion for a list of primitives. The outcome shows that the metrics are useful both to those carrying out the conversion to balance between potential information loss and resulting data complexity, and to end users of the converted information to assess the fitness for purpose and impact of the conversion results.

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“…Recently, several universities borrowed the smart city concept at the campus scale in the aim of defining innovative digital AMS to provide more satisfactory user experience, in addition to an optimal and more resilient use of resources during the low digitalized and investigated O&M phase (Lu Q. et al, 2020;Moretti et al, 2021;Ward et al, 2021;Qiuchen Lu et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Toward cognitive digital twins using a BIM-GIS asset management system for a diffused university

Meschini

Pellegrini

Locatelli

et al. 2022

Front. Built Environ.

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The integrated use of building information modeling (BIM) and geographic information system (GIS) is promising for the development of asset management systems (AMSs) for operation and maintenance (O&M) in smart university campuses. The combination of BIM-GIS with cognitive digital twins (CDTs) can further facilitate the management of complex systems such as university building stock. CDTs enable buildings to behave as autonomous entities, dynamically reacting to environmental changes. Timely decisions based on the actual conditions of buildings and surroundings can be provided, both in emergency scenarios or when optimized and adaptive performances are required. The research aims to develop a BIM-GIS-based AMS for improving user experience and enabling the optimal use of resources in the O&M phase of an Italian university. Campuses are complex assets, mainly diffused with buildings spread across the territory, managed with still document-based and fragmented databases handled by several subjects. This results in incomplete and asymmetrical information, often leading to ineffective and untimely decisions. The paper presents a methodology for the development of a BIM-GIS web-based platform (i.e., AMS-app) providing the real-time visualization of the asset in an interactive 3D map connected to analytical dashboards for management support. Two buildings of the University of Turin are adopted as demonstrators, illustrating the development of an easily accessible, centralized database by integrating spatial and functional data, useful also to develop future CDTs. As a first attempt to show the AMS app potential, crowd simulations have been conducted to understand the buildings’ actual level of safety in case of fire emergency and demonstrate how CDTs could improve it. The identification of data needed, also gathered through the future implementation of suitable sensors and Internet of Things networks, is the core issue together with the definition of effective asset visualization and monitoring methods. Future developments will explore the integration of artificial intelligence and immersive technologies to enable space use optimization and real-time wayfinding during evacuation, exploiting digital tools to alert and drive users or authorities for safety improvement. The ability to easily optimize the paths with respect to the actual occupancy and conditions of both the asset and surroundings will be enabled.

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GeoBIM for built environment condition assessment supporting asset management decision making

Cited by 34 publications

References 30 publications

A Review of Mobile Mapping Systems: From Sensors to Applications

A Review of Mobile Mapping Systems: From Sensors to Applications

Quantifying Geometric Changes in Bim-Gis Conversion

Toward cognitive digital twins using a BIM-GIS asset management system for a diffused university

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