From Smart Construction Objects to Cognitive Facility Management

The Architecture, Engineering, construction, and operation (AECO) industry has been strenuously exploring smart technologies to solve its many chronic problems. Smart construction object (SCO) is proposed as a step towards ubiquitous computing and smartness in the construction context. SCOs are defined as construction resources made ‘smart’ by augmenting them with awareness, communicativeness, and autonomy. SCOs will lead to a new paradigm of smart construction. In the meantime, cognitive facility management (FM) is proposed as a step towards active intelligence of FM. It can perceive through cognitive systems, learn in the manner of human cognition with the power of cognitive computing to improve the quality of people’s life and productivity of core business. The design of cognitive FM is to apply CIoT to FM with the consideration of integrating its cyber, physical, social systems (i.e., cyber-physical-social system, CPSS). In this chapter, a framework of cognitive FM is introduced, with eight layers, namely, environment, perception, data, communication, computation, application, action, and evaluation layer. It is important to integrate construction and FM in a loop to achieve information continuity, information credibility, life-cycle management continuity, as a way to alleviate the AECO industry’s chronic problems. The integration is proposed between SCO and cognitive FM. SCO can serve as a hardware foundation and software interface of sensing and computing to achieve awareness, communicativeness, and autonomy. Cognitive FM, in turn, will be a platform for the implementation of SCOs. With the awareness, communicativeness, and autonomy of SCOs as a backbone, the perception, learning, and action of cognitive FM system will be better achieved. Two scenarios, proactive structure assessment and life-cycle MEP system monitoring, are proposed and explained to validate the integrated framework of SCO and cognitive FM.

[1]  Peter Friess,et al.  Internet of Things Strategic Research Roadmap , 2011 .

[2]  Gerd Kortuem,et al.  Sensor Networks or Smart Artifacts? An Exploration of Organizational Issues of an Industrial Health and Safety Monitoring System , 2007, UbiComp.

[3]  Vera Stavroulaki,et al.  Cognitive Management for the Internet of Things: A Framework for Enabling Autonomous Applications , 2013, IEEE Vehicular Technology Magazine.

[4]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[5]  Geoffrey Qiping Shen,et al.  An Internet of Things-enabled BIM platform for on-site assembly services in prefabricated construction , 2018 .

[6]  Jinjun Chen,et al.  High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm , 2020, IEEE Transactions on Emerging Topics in Computing.

[7]  Andrey Somov,et al.  Supporting smart-city mobility with cognitive Internet of Things , 2013, 2013 Future Network & Mobile Summit.

[8]  Behrokh Khoshnevis,et al.  Automated construction by contour craftingrelated robotics and information technologies , 2004 .

[9]  Weisheng Lu,et al.  Pervasive sensing technologies for facility management: a critical review , 2019 .

[10]  Weisheng Lu,et al.  ‘Cognitive facility management’: Definition, system architecture, and example scenario , 2019, Automation in Construction.

[11]  Alan C. Brent,et al.  Sustainable Project Life Cycle Management : the need to integrate life cycles in the manufacturing sector , 2005 .

[12]  Qingtao Wu,et al.  Cognitive Internet of Things: Concepts and Application Example , 2012 .

[13]  Gerd Kortuem,et al.  Smart objects as building blocks for the Internet of things , 2010, IEEE Internet Computing.

[14]  Weisheng Lu,et al.  Taxonomy and Deployment Framework for Emerging Pervasive Technologies in Construction Projects , 2019, Journal of Construction Engineering and Management.

[15]  Tine Herreborg Jørgensen,et al.  Towards more sustainable management systems: through life cycle management and integration , 2008 .

[16]  Pentti Vähä,et al.  The benefits and obstacles of mobile technology in FM service procurement , 2009 .

[17]  Richard de Dear,et al.  Individual difference in thermal comfort: A literature review , 2018, Building and Environment.

[18]  Soon-Wook Kwon,et al.  A development of next generation intelligent construction liftcar toolkit for vertical material movement management , 2011 .

[19]  Yang Liao,et al.  An Integration Framework on Cloud for Cyber-Physical-Social Systems Big Data , 2020, IEEE Transactions on Cloud Computing.

[20]  Imre Horváth,et al.  Beyond advanced mechatronics: New design challenges of social-cyber-physical systems , 2012 .

[21]  Knud Illeris,et al.  Transformative Learning in the Perspective of a Comprehensive Learning Theory , 2004 .

[22]  Younghan Jung,et al.  An approach to automated detection of structural failure using chronological image analysis in temporary structures , 2019 .

[23]  Sang-Heon Lee,et al.  The application of the human-robot cooperative system for construction robot manipulating and installing heavy materials , 2006, 2006 SICE-ICASE International Joint Conference.

[24]  José Rodellar,et al.  Active and semi-active control of structures – theory and applications: A review of recent advances , 2012 .

[25]  Chen Mao,et al.  Occupancy Estimation in Smart Building using Hybrid CO2/Light Wireless Sensor Network , 2016 .

[26]  Cheng Zhang,et al.  Towards the smart construction site: Improving productivity and safety of construction projects using multi-agent systems, real-time simulation and automated machine control , 2012, Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).

[27]  Chimay J. Anumba,et al.  An SCO-Enabled Logistics and Supply Chain–Management System in Construction , 2017 .

[28]  Jianhua Ma,et al.  A survey: Cyber-physical-social systems and their system-level design methodology , 2016, Future Gener. Comput. Syst..

[29]  Qihui Wu,et al.  Cognitive Internet of Things: A New Paradigm Beyond Connection , 2014, IEEE Internet of Things Journal.

[30]  Chimay J. Anumba,et al.  Smart Construction Objects , 2016, J. Comput. Civ. Eng..

[31]  Amit P. Sheth,et al.  Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing , 2016, IEEE Intelligent Systems.

[32]  Weisheng Lu,et al.  A SCO-based tower crane system for prefabrication construction. , 2017 .

[33]  M. Angelidou.  Smart cities: A conjuncture of four forces , 2015 .

[34]  Jianhua Ma,et al.  A System-Level Modeling and Design for Cyber-Physical-Social Systems , 2016, ACM Trans. Embed. Comput. Syst..

[35]  Tamas Madl,et al.  LIDA: A Systems-level Architecture for Cognition, Emotion, and Learning , 2014, IEEE Transactions on Autonomous Mental Development.

[36]  Ke Chen,et al.  Linking radio-frequency identification to Building Information Modeling: Status quo, development trajectory and guidelines for practitioners , 2018, Automation in Construction.

[37]  Weisheng Lu,et al.  Cognitive Facilities Management: Definition And Architecture , 2019 .