Building a smart laboratory environment at a university via a cyber-physical system

Contemporary activities in laboratories have become versatile and complicated, and can be significantly affected by the environment of the laboratory. Thus, a smart laboratory environment is needed to interpret and manipulate (implicit) environmental quantities, for improving and retaining the performance of laboratory activities. This paper presents a deployment of a cyber-physical system (CPS) gathering and acting on relevant information about physical quantities in laboratories. In particular, the proposed CPS can measure, analyze and regulate the thermal comfort. Improvements have been proposed to enhance the functionality of the system. Evaluations of an on-site deployment indicate the functionality of the proposed CPS.

[1]  Heejo Lee,et al.  This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. INVITED PAPER Cyber–Physical Security of a Smart Grid Infrastructure , 2022 .

[2]  Wang Liping,et al.  Applying Natural Ventilation for Thermal Comfort in Residential Buildings in Singapore , 2007 .

[3]  Benjamin Hirsch,et al.  Education beyond the cloud: Anytime-anywhere learning in a smart campus environment , 2011, 2011 International Conference for Internet Technology and Secured Transactions.

[4]  Chi-Un Lei,et al.  Advancements in using a machine design project for teaching introductory electrical engineering , 2013, Proceedings of 2013 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE).

[5]  Insup Lee,et al.  Challenges and Research Directions in Medical Cyber–Physical Systems , 2012, Proceedings of the IEEE.

[6]  Noëlle Lewis,et al.  A Distance Measurement Platform Dedicated to Electrical Engineering , 2009, IEEE Transactions on Learning Technologies.

[7]  Chi-Un Lei,et al.  Teaching introductory electrical engineering: Project-based learning experience , 2012, Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2012.

[8]  Insup Lee,et al.  Cyber-physical systems: The next computing revolution , 2010, Design Automation Conference.

[9]  Standard Ashrae Thermal Environmental Conditions for Human Occupancy , 1992 .

[10]  Nebil Buyurgan,et al.  An Online RFID Laboratory Learning Environment , 2009, IEEE Transactions on Learning Technologies.

[11]  Chi-Un Lei,et al.  Building a Laboratory Surveillance System via a Wireless Sensor Network , 2013, GPC.

[12]  Drago Cmuk,et al.  MIRACLE—Model for Integration of Remote Laboratories in Courses that Use Laboratory and e-Learning Systems , 2009, IEEE Transactions on Learning Technologies.

[13]  Edward A. Lee,et al.  Distributed Real-Time Software for Cyber–Physical Systems , 2012, Proceedings of the IEEE.