MI (1367) - ARCHITETTURA, INGEGNERIA DELLE COSTRUZIONI E AMBIENTE COSTRUITO / ARCHITECTURE, BUILT ENVIRONMENT AND CONSTRUCTION ENGINEERING
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058854 - GEOBIM FOR ASSET AND FACILITY MANAGEMENT
Detailed program and learning outcomes
Through a blended theoretical and practical work, students will become familiar with the concepts of condition monitoring and assessment of assets, exploring methodologies for the collection and processing of condition data in different contexts. They will link condition assessment data to BIM and GIS data, exploring the representation, modelling and manipulation of information describing the assets and the built environment. The integrated and interoperable data (from the three different disciplines - AM/FM, BIM and GIS) are managed within a relational database to develop examples of typical use in the construction sector.
At the end of the course participants will:
- Have a basic knowledge of GIS science and of 3D city modelling (CityGML);
- Be able to create GIS 3D model with semantic information;
- Have basic knowledge of BIM, openBIM (IFC) and of geoBIM as the integration of BIM and GIS;
- Be able to transfer BIM data to GIS and to use georeferenced BIM models;
- Have a basic knowledge of Condition Assessment for built assets;
- Be able to use BIM or GIS model to store and retrieve information on Condition Assessment of buildings, infrastructures and urban areas;
- Have a basic knowledge of decision-making techniques in AM;
- Be able to compute Key Performance Indicators to prioritize asset maintenance according to the result of a condition assessment using either BIM or GIS data;
This is a residential course, further details on the accomodation willi be provided to enrolled PhD studentds.
Notes on methods of assessing
Every day the students will attend a workshop session in which they will work in groups with their peers on practical examples and tools taught in the morning. The final summative evaluation of each student will take place on the basis of the personal contribution provided during the workshop sessions (formative assessment) and the final presentation.
Teaching activities
Start date
End date
Schedule planning
The module will run five days, 9:30 am - 5:30 pm (morning theory, afternoon workshop), according to the following schedule:
8th September 2025 – Focus: Geographical Information Systems (GIS) and modelling the built environment at the urban level.
9th September 2025 – Focus: Building Information Modelling (BIM), with particular reference to information management with open standards (IFC) and the relationship between BIM and GIS.
10th September 2025 - Focus: Building Condition Assessment (BCA) and the built environment. Examples will show how condition assessment data can be stored and used within BIM and GIS software.
11th September 2025 – Focus: Decision Making. How to use the data collected to make decisions in the field of building management (Asset and Facility Management)
12th September 2025 - Final seminar with guests and students’ final presentations. the students will discuss with experts in a round table the results of workshop assignments.
Bibliography
Moretti, N., Ellul, C., Re Cecconi, F., Papapesios, N., & Dejaco, M. C., GeoBIM for built environment condition assessment supporting asset management decision making / Automation in Construction, Editore: Elsevier, Anno edizione: 2021, Fascicolo: 130 doi.org/10.1016/j.autcon.2021.103859Garramone, M., Moretti, N., Scaioni, M., Ellul, C., Re Cecconi, F., & Dejaco, M. C., BIM and GIS integration for infrastructure asset: a bibliometric analysis / ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Editore: International Society for Photogrammetry and Remote Sensing, Anno edizione: 2020, Fascicolo: Fascicolo: 6(4/W1) 77-84 doi.org/10.5194/isprs-annals-VI-4-W1-2020-77-2020
Software used
No software required
Learning format(s)
Learning format
Supervised learning hours (hh:mm)
Supervised learning hours %
Lecture-based learning
20:00
50.0 %
Interactive/collaborative learning
20:00
50.0 %
Assessed learning
0:00
0.0 %
Laboratory-based learning
0:00
0.0 %
Project-based learning/Design studio
0:00
0.0 %
Supervised learning hours total (hh:mm)
40:00
Information in English to support internationalization