Framework for Heterogeneous Sensor Data Stream Management with BIM and WSN

Year 2023, , 1082 - 1094, 01.09.2023

Ozgun Pınarer

https://doi.org/10.35378/gujs.1030189

Abstract

By the 2010s, BIM is highly popular research area that gathers researchers from various domains. We tackle the major challenge of BIM and the main barrier for the application of BIM in smart environments: integration of BIM and wireless sensor networks. Existing studies in the literature have various dependencies and propose limited solutions. These solutions are dedicated to specific applications and domains. However, it is highly required to have a generic solution for real time indoor and outdoor environmental monitoring with full integration with the digital model of the building. To fulfill this need, in this study, we propose a novel approach to monitor and fulfill user requirements by a numerical model of the building, a novel framework and a BIM-WSN integrated architecture based on the BIM principles for smart building environments. All the experiments are performed on a real testbed, physical sensor devices deployed on the classrooms of the university building. Such numerical model presents the digital model of the environment by gathering acquired data. Besides, data is gathered on a big data platform where it may be served to various other applications such as machine learning studies.

Keywords

Smart environment automation systems, Smart building, Sensor data processing, Building information modeling, Model transformation

References

• [1]. Isikdag, U., "Building Information Models: An Introduction", Enhanced Building Information Models, Springer, Cham, 1-12, (2015).
• [2]. Internet: Nbs national bim report, Online: https://www.thenbs.com/knowledge/nbs-national-bim-report-2017, (2017).
• [3]. Corekci, M., Pinarer, O. and Servigne S., "Designing a novel smart home monitoring systems with the integration of bim and wsn", 5th International Conference on Connected Smart Cities, (2019).
• [4]. Wu, I.C. and Liu, C.C., "A visual and persuasive energy conservation system based on BIM and IoT technology." Sensors, 20(1): 139, (2020).
• [5]. Maskuriy, R., Selamat, A., Ali, K. N., Maresova, P., and Krejcar, O. “Industry 4.0 for the construction industry—how ready is the industry?”, Applied Sciences, 9(14): 2819-2846, (2019).
• [6]. Riaz Z., Parn EA., Edwards DJ., Arslan M., Shen C. and Pena-Mora F., “Bim and sensor-based data management system for construction safety monitoring”, Journal of Engineering, Design and Technology, 15(6): 738–753, (2017).
• [7]. Kiani, A., Salman, A. and Riaz, Z., “Real-time environmental monitoring, visualization and notification system for construction h&s management”, Journal of Information Technology in Construction (IT-con), 19(4): 72–91, (2014).
• [8]. Wang, H., Gluhak, A., Meissner, S. and Tafazolli, R., “Integration of bim and live sensing information to monitor building energy performance”, Proceedings of the 30th International Conference of CIB W, 78: 344–352, (2013).
• [9]. Woo, J.H. and Gleason, B., “Building energy benchmarking with building information modeling and wireless sensor technologies for building retrofits”, Computing in Civil and Building Engineering, 1150–1157, (2014).
• [10]. Hu, J. and Patel, M., “Optimized selection and placement of sensors using building information models (bim)”, IES Annual Conference, Pittsburgh, PA, (2014).
• [11]. Lee, G., Cho, J., Ham, S., Lee, T., Lee, G., Yun, S.H. and Yang, H.J., “A bim-and sensor-based tower crane navigation system for blind lifts”, Automation in construction, 26: 1–10, (2012).
• [12]. Liu, X. and Akinci, B., “Requirements and evaluation of standards for integration of sensor data with building information models”, Computing in Civil Engineering, 95–104, (2009).
• [13]. Wu, W., Yang, X. and Fan, Q., “Gis-bim based virtual facility energy assessment (vfea)—framework development and use case of california state university, fresno”, Computing in Civil and Building Engineering, 339–346, (2014).
• [14]. Lee, J., Kim, J., Ahn, J. and Woo, W., “Context-aware risk management for architectural heritage using historic building information modeling and virtual reality”, Journal of Cultural Heritage, (2019).
• [15]. Logothetis, S., Delinasiou, A. and Stylianidis, E., “Building information modelling for cultural heritage: a review”, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2(5): 177, (2015).
• [16]. Riaz, Z., Arslan, M., Kiani, A.K. and Azhar, S., “Cosmos: A bim and wireless sensor based integrated solution for worker safety in confined spaces”, Automation in construction, 45: 96–106, (2014).
• [17]. Park, J., Cho, Y.K. and Martinez, D.J., “A bim and uwb integrated mobile robot navigation system for indoor position tracking applications”, Journal of Construction Engineering and Project Management, 6(2): 30–39, (2016).
• [18]. Park, J., Kim, K. and Cho, Y.K., “Framework of automated construction safety monitoring using cloud-enabled bim and ble mobile tracking sensors,” Journal of Construction Engineering and Management, 143(2): 05016019, (2017).
• [19]. Park, J., Cho, Y.K. and Ahn, C.R., “A wireless tracking system integrated with bim for indoor construction applications”, Construction Research Congress, 2660–2668, (2016).
• [20]. Kim, S.A., Shin, D., Choe, Y., Seibert, T. and Walz, S.P., “Integrated energy monitoring and visualization system for smart green city development: Designing a spatial information integrated energy monitoring model in the context of massive data management on a web based platform”, Automation in Construction, 22: 51–59, (2012).