A.F.M. Alattas
Please Note
17 records found
1
Mapping private, common, and exclusive common spaces in buildings from BIM/IFC to LADM
A case study from Saudi Arabia
This paper presents in detail the legislation and regulation related to the use and ownership of building complexes with multiple units (apartments, condominiums) in Saudi Arabia for the 3D registration of the legal spaces. The 3D Land Administration Domain Model (LADM)country profile for Saudi Arabia must be able to represent the identified concepts for multi-owner buildings. Today, there is a trend to directly design these buildings in 3D. Within the spatial development lifecycle thinking, this design will be reused via Building Information Modelling (BIM)/ Industry Foundation Class (IFC) encodings in the subsequent phases, such as, obtaining permits, financing, constructing, etc. However, in order to support the next step, the cadastral registration, we present, at this paper, a mapping from the BIM/IFC to the LADM, both at conceptual modelling and at the level of the individual units with their geometry and topology. This mapping requires that the BIM/IFC file contains sufficient information to identify the different spaces being part of a property. Three different main type of spaces are identified: private part, common part, and exclusive common part. A single property may contain multiple disconnected components, such as the main apartment, the storage in the basement, and a car park. In turn, a component, such as the main apartment, may contain multiple connected spaces, i.e. the various rooms of the main apartment. In addition to mapping the concepts at class level from IFC to LADM, we also extract rules for treating the spaces of various types of walls, slabs, roofs, and constructive elements, such as foundation and pillars. The presented approach is tested with a real-world example IFC file, identifying the issues to be improved, i.e. guidelines for the Architecture, Engineering and Construction (AEC) sector to produce IFC file which can be more easy used as input for 3D Land Administration with minimal manual interventions. This research bridges the gap between the project-oriented world of the AEC sector (with BIM/IFC files) and the legal registration as described through the ISO 19152. Though many of the presented findings are based on the legislation and case study in Saudi Arabia, we have the rather strong impression, that these findings will not be very different in other countries.
Towards indoorgml 2.0
Updates and case study illustrations
Indoor environments differ from outdoor in many aspects. This, added to the limitations faced by other common standards for urban features reinforced the need of setting a dedicated standard for indoor applications. IndoorGML was born in this context to provide the basic concepts, data models, and standard that meet the requirements of indoor spatial applications. Indoor spatial information can be generally classified into two categories: indoor objects such as architectural components (walls, stairs, slabs) and interior facilities (furniture); indoor spaces such as cavities (rooms and corridors) or virtual subdivision (sensor and legal spaces). Handling both information is necessary to support applications ranging from Indoor location-based services (LBS), indoor route analysis or indoor geo-tagging to building and asset management. In this paper, we present the proposed changes to the second version of IndoorGML, under preparation and intended to provide the necessary support for applications using information from those two categories. IndoorGML 2.0 is open to all applications that rely on indoor spaces and require analysis that can be performed on a network, extracted from those spaces utilizing neighbourhood relationships. It follows a model-driven approach, i.e. all concepts are presented by the Unified Modelling Language, from which technical implementations are derived (GML, JSON, SQL, etc.). We present the proposed changes to the previous version, illustrate a way of representing indoor objects other than spaces and discuss several use cases of the standard.
The users' movements in the indoor environments differ based on the condition of the environments. During an indoor emergency, an efficient evacuation is required to help the users to move to the safe areas. Many types of incidents could impact the movements of users and this requires studying the behavior of the people during the evacuation. The reaction of the users to the incidents could affect the evacuation procedures and that could lead to several types of injuries or death. Each user understands and perceives the indoor environment differently and this plays a critical role in the evacuation. Furthermore, the users of the indoor environments have different rights to access the indoor spaces, which affects the movements of the users during an incident. This paper aims to support the evacuation of a building (educational building) in a crisis by using the integrated model of LADM-IndoorGML and the representation of the 3D model of the building. This research is presenting the initial assessment based on real world application. To reflect evacuation cases, we extended the conceptual model of LADM-IndoorGML to define the access rights for users of indoor environments during crisis. An evacuation exercise has been held at the Faculty of Applied Science at TU Delft to study the access rights during an incident. During the evacuation, Wi-Fi data has been collected for the users of the building for further analysis. A 3D model has been built for the Faculty of Applied Science to analyze the movement of the users. The collected data of the Wi-Fi access points have been structured and imported into the freeware database PostgreSQL/PostGIS. Furthermore, the geometry of 3D model was used to visualize the users’ movements as individuals and groups of users according to their connection to Wi-Fi access. Appropriate visualization has been created using QGIS. This paper demonstrates the entire process of analysis and visualization of users’ movements based on the Wi-Fi logs by using the extended LADM-IndoorGML. The outcome of the research has showed that the results for individual users and group users attached to the same access point differs. The study has also exhibited the importance of the time resolution on Monitoring the movements of a single user or group of users. The completed study clearly demonstrates that with the proposed extension, the integrated LADM-IndoorGML model is able to support the decision-making process during an incident in educational building.