BIM and IoT Sensors Integration: A Framework for Consumption and Indoor Conditions Data Monitoring of Existing Buildings

The low accessibility to the information regarding buildings current performances causes deep difficulties in planning appropriate interventions. Internet of Things (IoT) sensors make available a high quantity of data on energy consumptions and indoor conditions of an existing building that can drive the choice of energy retrofit interventions. Moreover, the current developments in the topic of the digital twin are leading the diffusion of Building Information Modeling (BIM) methods and tools that can provide valid support to manage all data and information for the retrofit process. This paper shows the aim and the findings of research focused on testing the integrated use of BIM methodology and IoT systems. A common data platform for the visualization of building indoor conditions (e.g., temperature, luminance etc.) and of energy consumption parameters was carried out. This platform, tested on a case study located in Italy, is developed with the integration of low-cost IoT sensors and the Revit model. To obtain a dynamic and automated exchange of data between the sensors and the BIM model, the Revit software was integrated with the Dynamo visual programming platform and with a specific Application Programming Interface (API). It is an easy and straightforward tool that can provide building managers with real-time data and information about the energy consumption and the indoor conditions of buildings, but also allows for viewing of the historical sensor data table and creating graphical historical sensor data. Furthermore, the BIM model allows the management of other useful information about the building, such as dimensional data, functions, characteristics of the components of the building, maintenance status etc., which are essential for a much more conscious, effective and accurate management of the building and for defining the most suitable retrofit scenarios.

[1]  Raimar J. Scherer,et al.  BIMification: How to create and use BIM for retrofitting , 2018, Adv. Eng. Informatics.

[2]  Miroslava Kavgic,et al.  Integrating Building Information Modeling (BIM) and sensor technology for Facility Management , 2019, J. Inf. Technol. Constr..

[3]  Ashutosh Bagchi,et al.  Development of an IoT and BIM-based automated alert system for thermal comfort monitoring in buildings , 2020 .

[4]  Bhargav Dave,et al.  A framework for integrating BIM and IoT through open standards , 2018, Automation in Construction.

[5]  Lauri Koskela,et al.  Evaluating Social Housing Retrofit Options to Support Clients’ Decision Making—SIMPLER BIM Protocol , 2019, Sustainability.

[6]  Long Chen,et al.  Semi-automatic geometric digital twinning for existing buildings based on images and CAD drawings , 2020 .

[7]  Giuseppe Martino Di Giuda,et al.  BIM and Post-occupancy Evaluations for Building Management System: Weaknesses and Opportunities , 2020 .

[8]  Kirti Ruikar,et al.  BIM application to building energy performance visualisation and management: Challenges and potential , 2017 .

[9]  Adrian K. Clear,et al.  Assessing building performance in residential buildings using BIM and sensor data , 2019, International Journal of Building Pathology and Adaptation.

[10]  Emanuela Quaquero,et al.  The “Mandolesi Pavilion”: an information model for a process of integrating multidisciplinary knowledge , 2017 .

[11]  J. J. McArthur,et al.  A Building Information Management (BIM) Framework and Supporting Case Study for Existing Building Operations, Maintenance and Sustainability , 2015 .

[12]  Udo Dietrich,et al.  Indoor Thermal Comfort Improvement through the Integrated BIM-Parametric Workflow-Based Sustainable Renovation of an Exemplary Apartment in Seoul, Korea , 2019, Sustainability.

[13]  Elena Lucchi,et al.  Development of a Compatible, Low Cost and High Accurate Conservation Remote Sensing Technology for the Hygrothermal Assessment of Historic Walls , 2019, Electronics.

[14]  Paris A. Fokaides,et al.  Building information modelling applications in smart buildings: From design to commissioning and beyond A critical review , 2020 .

[15]  Giuseppe Martino Di Giuda,et al.  Towards the cognitive building: information modeling for the energy audit , 2018, Rivista Tema.

[16]  Muneer Bani Yassein,et al.  Smart homes automation using Z-wave protocol , 2016, 2016 International Conference on Engineering & MIS (ICEMIS).

[17]  Marin Litoiu,et al.  Building automation system - BIM integration using a linked data structure , 2020, Automation in Construction.

[18]  Jensen Zhang,et al.  Energy-saving building system integration with a smart and low-cost sensing/control network for sustainable and healthy living environments: Demonstration case study , 2020 .

[19]  Dong Sik Kim,et al.  Hybrid wireless sensor network for building energy management systems based on the 2.4 GHz and 400 MHz bands , 2015, Inf. Syst..

[20]  Mohamed Marzouk,et al.  Monitoring thermal comfort in subways using building information modeling , 2014 .

[21]  S. Kaewunruen,et al.  A Digital-Twin Evaluation of Net Zero Energy Building for Existing Buildings , 2018, Sustainability.

[22]  Pardis Pishdad-Bozorgi,et al.  A review of building information modeling (BIM) and the internet of things (IoT) devices integration: Present status and future trends , 2019, Automation in Construction.