Development of a BIM-based holonic system for real-time monitoring of building operational efficiency

Abstract

In the wide context of facility management, several processes, such as operations, maintenance, retrofitting, and renovations, ensure that buildings comply with the principles of efficiency, cost-effectiveness, and indoor comfort. Apart from ordinary operation, facility management is responsible for the renovation of and long-term performance improvement of building facilities. In such a scenario, the cyber–physical system (CPS) paradigm with holonic architecture, which is the focus of this study, can successfully guide the operation management and long-term refurbishment processes of buildings. Analogous to the manufacturing field, the developed CPS maximizes holons’ self-configuration and self-organization and overall throughput effectiveness metrics to detect the best corrective actions toward system improvements. Consequently, suggestions and lessons learned from the evaluation of building efficiency are redirected to the building information model. Hence, the digital model acts as a repository of currently available equipment for operations management and the history of diagnoses that support decision-making during the maintenance, retrofitting, and renovation processes. Evidently, the repeated detection of a specific issue, which is unaffected by operations management, should be considered an opportunity to act and enhance the performances of existing building components. Similar to a goods-producing industry, the building management system developed in this study applies the aforementioned methodology to provide services related to indoor comfort and building health. This approach indicates that a method for automatic real-time diagnosis is tested in a case study consisting of a multi-use and large public building. The current paper, which is an extended version of the one presented in the Creative Construction Conference 2018, deepens the decision support tool and the supervision policy. Moreover, the developed system is contextualized by providing an example of use case and highlighting the step forward in the field of smart buildings.

Keywords

BIM / building management system / cyber-physical system / facility management / holonic system

References

[1] Akanmu A, Anumba C J (2015). Cyber-physical systems integration of building information models and the physical construction. Engineering, Construction, and Architectural Management, 22(5): 516–535

[2] Bonci A, Pirani M, Longhi S (2017). Robotics 4.0: Performance improvement made easy. In: Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Limassol, Cyprus

[3] Borrmann A, König M, Koch C, Beetz J (2018). Building information modeling: Why? What? How? In: Building Information Modeling, Cham: Springer, 1–24

[4] Bruno S, De Fino M (2018), Fatiguso F. Historic Building Information Modelling: Performance assessment for diagnosis-aided information modelling and management. Automation in Construction, 86: 256–276

[5] Darwen H (2009). An Introduction to Relational Database Theory. London: Bookboon

[6] Eastman T, Sacks L (2011). BIM Handbook—A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors. Hoboken: Wiley

[7] Giret A, Botti V (2004). Holons and agents. Journal of Intelligent Manufacturing, 15(5): 645–659

[8] Koestler A (1967). The Gost in the Machine. New York: The Macmillan Company

[9] Ma X D, Cui R, Sun Y, Peng C G, Wu Z S (2010). Supervisory and energy management system of large public buildings. In: Proceeding of the 2010 IEEE, International Conference on Mechatronics and Automation, Xi’an, China

[10] Monostori L, Kádár B, Bauernhansl T, Kondoh S, Kumara S, Reinhart G, Sauer O, Schuh G, Sihn W, Ueda K (2016). Cyber-physical systems in manufacturing. CIRP Annals, 65(2): 621–641

[11] Muthiah K M N, Huang S H (2007). Overall throughput effectiveness (OTE) metric for factory-level performance monitoring and bottleneck detection. International Journal of Production Research, 45(20): 4753–4769

[12] Pirani M, Bonci A, Longhi S (2016). A scalable production efficiency tool for the robotic cloud in the fractal factory. In: IECON 2016—42nd Annual Conference of the IEEE Industrial Electronics Society, Florence, Italy, 6847‒6852

[13] Russell P, Elger D (2008). The meaning of BIM. In: 26th eCAADe Conference Proceedings, Antwerpen, Belgium, 531–536

[14] Stadnicka D, Bonci A, Pirani M, Longhi S (2017). Information management and decision making supported by an intelligence system in kitchen fronts control process. In: Burduk A, Mazurkiewicz D, eds. Intelligent Systems in Production Engineering and Maintenance—ISPEM 2017. Heidelberg: Springer, 249–259

[15] Stadnicka D, Pirani M, Bonci A, Ratnayake R M C, Longhi S (2017). Self-similar computing structures for CPSs: A case study on POTS service process. In: Camarinha-Matos L, Afsarmanesh H, Fornasiero R, eds. Collaboration in a Data-Rich World. PRO-VE 2017. Heidelberg: Springer, 157–166

[16] Valckenaers P, Van Brussel H (2016). Design for the Unexpected, from Holonic Manufacturing Systems towards a Humane Machatronics Society. London: Butterworth-Heinemann

[17] Verstraete P, Germain B S, Hadeli K, Valckenaers P, Van Brussel H (2006). On applying the PROSA reference architecture in multi-agent manufacturing control applications. In: Multiagent Systems and Software Architecture, Proceedings of the Special Track at Net.ObjectDays, K.U. Leuven, Belgium

[18] Volk R, Stengel J, Schultmann F (2014). Building Information Modeling (BIM) for existing buildings—Literature review and future needs. Automation in Construction, 38: 109–127

[19] Wang L H, Haghighi A (2015). Combined strength of holons, agents and function blocks in cyber-physical systems. Journal of Manufacturing Systems, 40(2): 25–34

[20] Wetter M, Zuo W, Nouidui T S, Pang X F (2014). Modelica buildings library. Journal of Building Performance Simulation, 7(4): 253–270

[21] Yuan X, Anuba C J, Parfitt M K (2016). Cyber-physical systems for temporary structure monitoring. Automation in Construction, 66: 1–14

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