Abstract
With the networks of sophisticated sensors and devices, building systems have the potential to serve as the infrastructure that provides essential data for the Internet of Things (IoT)-enabled smart city paradigm. However, current building systems lack intersystem connectivity or exposure to the more extensive networks of IoT devices. In this paper, the authors propose an IoT-enabled data acquisition framework that utilizes low-cost computers, sensors modules, developed software agents, and the existing building Wi-Fi network to establish a central facility database. A system prototype is developed for collecting and integrating facility data, and a case study on a university campus is conducted to demonstrate the proposed framework. The potential use cases enabled by the central facility database, the integration of building information modeling (BIM) standards and building system data protocols, a vision for future smart cities, and the challenges are also discussed. This research concludes that the proposed framework is effective in using IoT devices and networks to establish a cost-effective, platform-neutral, scalable, and portable building data acquisition system for smart building innovations.
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Data Availability Statement
Some or all of the data, models, or code used during the study were provided by a third party (the building system data). Direct requests for these materials may be made to the provider, as indicated in the Acknowledgments.
Some or all of the data, models, or code generated or used during the study are available from the corresponding author by request [(1). the indoor environment data generated in the campus building, and (2). the software agents (Python codes) for data generation, acquisition, and integration].
Acknowledgments
This work was supported by the Digital Building Laboratory (DBL) and the Center for the Development and Application of Internet of Things Technologies (CDAIT) at Georgia Institute of Technology (Project No. 4906638). The building system data were extracted from the Net-Zero Energy Residential Test Facility established by the Engineering Laboratory of the National Institute of Standards and Technology (NIST). The authors appreciate all of the members for their gracious support and input.
References
Amazon. 2019. “Smart home | Alexa features.” Accessed July 1, 2020. https://www.amazon.com/b?ie=UTF8&node=17934679011.
Andargie, M. S., M. Touchie, and W. O’Brien. 2019. “A review of factors affecting occupant comfort in multi-unit residential buildings.” Build. Environ. 160 (Aug): 106–182. https://doi.org/10.1016/j.buildenv.2019.106182.
Buckman, A. H., M. Mayfield, and S. B. Beck. 2014. “What is a smart building?” Smart Sustainable Built Environ. 3 (2): 92–109. https://doi.org/10.1108/SASBE-01-2014-0003.
Chen, J., X. Gao, Y. Hu, Z. Zeng, and Y. Liu. 2019. “A meta-model-based optimization approach for fast and reliable calibration of building energy models.” Energy 188 (Dec): 116046. https://doi.org/10.1016/j.energy.2019.116046.
Chinazzo, G., J. Wienold, and M. Andersen. 2020. “Influence of indoor temperature and daylight illuminance on visual perception.” Light. Res. Technol. 52 (3): 350–370. https://doi.org/10.1177/1477153519859609.
ClimateTechWiki. 2019. “Building energy management systems (BEMS).” Accessed July 1, 2020. https://www.climatetechwiki.org/technology/jiqweb-bems.
Coleman, J., E. Teitelbaum, H. Guo, J. Read, and F. Meggers. 2017. “Examining architectural air and temperature with novel sensing techniques.” Energy Procedia 122 (Sep): 1135–1140. https://doi.org/10.1016/j.egypro.2017.07.442.
Dong, B., V. Prakash, F. Feng, and Z. O’Neill. 2019. “A review of smart building sensing system for better indoor environment control.” Energy Build. 199 (Sep): 29–46. https://doi.org/10.1016/j.enbuild.2019.06.025.
Donnell, M. J., P. M. Herbst, T. M. Nitsch, and R. E. Fransen. 2010. Building automation system. Washington, DC: US Patent and Trademark Office.
Doukas, H., K. D. Patlitzianas, K. Iatropoulos, and J. Psarras. 2007. “Intelligent building energy management system using rule sets.” Build. Environ. 42 (10): 3562–3569. https://doi.org/10.1016/j.buildenv.2006.10.024.
Ehlers, G. A., R. D. Howerton, and G. E. Speegle. 1996. Energy management and building automation system. Washington, DC: US Patent and Trademark Office.
Fernandes, H., M. Alam, J. Ferreira, and J. Fonseca. 2017. “Acoustic smart sensors based integrated system for smart homes.” In Proc., 2017 Int. Smart Cities Conf. (ISC2), 1–5. New York: IEEE.
Figueiredo, J., and J. Martins. 2010. “Energy production system management–renewable energy power supply integration with building automation system.” Energy Convers. Manage. 51 (6): 1120. https://doi.org/10.1016/j.enconman.2009.12.020.
Gao, X. 2019. “IoT-enabled facility data acquisition framework.” Accessed July 1, 2020. https://github.com/XinghuaGao/IoT-enabled-facility-data-acquisition-framework.
Gao, X., and P. Pishdad-Bozorgi. 2019a. “A framework of developing machine learning models for facility life-cycle cost analysis.” Build. Res. Inf. 48 (5): 501–525. https://doi.org/10.1080/09613218.2019.1691488.
Gao, X., and P. Pishdad-Bozorgi. 2019b. “BIM-enabled facilities operation and maintenance: A review.” Adv. Eng. Inf. 39 (Jan): 227–247. https://doi.org/10.1016/j.aei.2019.01.005.
Gao, X., P. Pishdad-Bozorgi, D. Shelden, and Y. Hu. 2019c. “Machine learning applications in facility life-cycle cost analysis: A review.” In Proc., 2019 ASCE Int. Conf. on Computing in Civil Engineering. Reston, VA: ASCE.
Gao, X., P. Pishdad-Bozorgi, D. Shelden, and S. Tang. 2019d. “A scalable cyber-physical system data acquisition framework for the smart built environment.” In Proc., 2019 ASCE Int. Conf. on Computing in Civil Engineering. Reston, VA: ASCE.
Gao, X., S. Tang, P. Pishdad-Bozorgi, and D. Shelden. 2018. “Foundational research in integrated building internet of things (IoT) data standards.” Accessed July 1, 2020. https://cdait.gatech.edu/sites/default/files/georgia_tech_cdait_research_report_on_integrated_building_-_iot_data_standards_september_2018_final.pdf.
Ghaffarianhoseini, A., H. Alwaer, H. Omrany, A. Ghaffarianhoseini, C. Alalouch, D. Clements-Croome, and J. Tookey. 2018b. “Sick building syndrome: Are we doing enough?” Archit. Sci. Rev. 61 (3): 99–121. https://doi.org/10.1080/00038628.2018.1461060.
Ghaffarianhoseini, A., H. AlWaer, A. Ghaffarianhoseini, D. Clements-Croome, U. Berardi, K. Raahemifar, and J. Tookey. 2018a. “Intelligent or smart cities and buildings: A critical exposition and a way forward.” Intell. Build. Int. 10 (2): 122–129. https://doi.org/10.1080/17508975.2017.1394810.
Google. 2019. “Google home.” Accessed July 1, 2020. https://store.google.com/us/product/google_home.
IEA (International Energy Agency). 1997. “Technical synthesis report: A summary of annexes 16 & 17 building energy management systems.” Accessed July 1, 2020. http://www.iea-ebc.org/Data/publications/EBC_Annex_16-17_tsr.pdf.
ISO. 2014. “Smart cities preliminary report 2014.” Accessed July 1, 2020. https://www.iso.org/files/live/sites/isoorg/files/developing_standards/docs/en/smart_cities_report-jtc1.pdf.
Jazizadeh, F., G. Kavulya, J.-Y. Kwak, B. Becerik-Gerber, M. Tambe, and W. Wood. 2012. “Human-building interaction for energy conservation in office buildings.” In Proc., Construction Research Congress 2012: Construction Challenges in a Flat World, 1830–1839. Reston, VA: Construction Institute of ASCE.
Jia, M., A. Komeily, Y. Wang, and R. S. Srinivasan. 2019. “Adopting internet of things for the development of smart buildings: A review of enabling technologies and applications.” Autom. Constr. 101 (May): 111–126. https://doi.org/10.1016/j.autcon.2019.01.023.
Kumar, P., A. N. Skouloudis, M. Bell, M. Viana, M. C. Carotta, G. Biskos, and L. Morawska. 2016. “Real-time sensors for indoor air monitoring and challenges ahead in deploying them to urban buildings.” Sci. Total Environ. 560 (Aug): 150–159. https://doi.org/10.1016/j.scitotenv.2016.04.032.
Lewis, A., D. Riley, and A. Elmualim. 2010. “Defining high performance buildings for operations and maintenance.” Int. J. Facil. Manage. 1 (2): 1–16.
Mujan, I., A. S. Anđelković, V. Munćan, M. Kljajić, and D. Ružić. 2019. “Influence of indoor environmental quality on human health and productivity: A review.” J. Cleaner Prod. 217 (Apr): 646–657. https://doi.org/10.1016/j.jclepro.2019.01.307.
NIST Engineering Laboratory. 2019a. “Data dictionary for NIST net-zero energy dataset, v1.0.” Accessed July 1, 2020. https://s3.amazonaws.com/nist-netzero/NZERTF-Data-Dictionary.docx.
NIST Engineering Laboratory. 2019b. “Net-zero energy residential test facility.” Accessed July 1, 2020. https://www.nist.gov/el/net-zero-energy-residential-test-facility.
NIST Engineering Laboratory. 2019c. “Net-zero home energy data.” Accessed July 1, 2020. https://pages.nist.gov/netzero/data.html#download_data.
NRECA (National Rural Electric Cooperative Association). 2020. “America’s electric cooperatives.” Accessed July 1, 2020. https://www.electric.coop/.
Rawal, G. 2016. “Costs, savings, and ROI for smart building implementation.” Accessed July 1, 2020. https://blogs.intel.com/iot/2016/06/20/costs-savings-roi-smart-building-implementation/#gs.9nml60.
Reddy, T. A. 2006. “Literature review on calibration of building energy simulation programs: Uses, problems, procedures, uncertainty, and tools.” ASHRAE Trans. 112 (1): 226–240.
Risojević, V., R. Rozman, R. Pilipović, R. Češnovar, and P. Bulić. 2018. “Accurate indoor sound level measurement on a low-power and low-cost wireless sensor node.” Sensors 18 (7): 2351. https://doi.org/10.3390/s18072351.
Saha, A. K., S. Sircar, P. Chatterjee, S. Dutta, A. Mitra, A. Chatterjee, S. P. Chattopadhyay, and H. N. Saha. 2018. “A raspberry Pi controlled cloud based air and sound pollution monitoring system with temperature and humidity sensing.” In Proc., 2018 IEEE 8th Annual Computing and Communication Workshop and Conf. (CCWC), 607–611. New York: IEEE.
Sapp, D. 2013. “Computerized maintenance management systems (CMMS).” Plexus scientific. Accessed July 1, 2020. https://www.wbdg.org/facilities-operations-maintenance/computerized-maintenance-management-systems-cmms#intro.
Shaikh, P. H., N. B. M. Nor, P. Nallagownden, I. Elamvazuthi, and T. Ibrahim. 2014. “A review on optimized control systems for building energy and comfort management of smart sustainable buildings.” Renewable Sustainable Energy Rev. 34 (Jun): 409–429. https://doi.org/10.1016/j.rser.2014.03.027.
Shelden, D. 2018. “Cyber-physical systems and the built environment.” Technol. Archit. Des. 2 (2): 137–139. https://doi.org/10.1080/24751448.2018.1497358.
Stojkoska, B. L. R., and K. V. Trivodaliev. 2017. “A review of internet of things for smart home: Challenges and solutions.” J. Cleaner Prod. 140 (Jan): 1454–1464. https://doi.org/10.1016/j.jclepro.2016.10.006.
Tang, S., D. R. Shelden, C. M. Eastman, P. Pishdad-Bozorgi, and X. Gao. 2020. “BIM assisted building automation system information exchange using BACnet and IFC.” Autom. Constr. 110 (Feb): 103049. https://doi.org/10.1016/j.autcon.2019.103049.
Tascikaraoglu, A. 2018. “Evaluation of spatio-temporal forecasting methods in various smart city applications.” Renewable Sustainable Energy Rev. 82 (Feb): 424–435. https://doi.org/10.1016/j.rser.2017.09.078.
Teixeira, T., G. Dublon, and A. Savvides. 2010. “A survey of human-sensing: Methods for detecting presence, count, location, track, and identity.” ACM Comput. Surv. 5 (1): 59–69.
Tham, K. W. 2016. “Indoor air quality and its effects on humans—A review of challenges and developments in the last 30 years.” Energy Build. 130 (Oct): 637–650. https://doi.org/10.1016/j.enbuild.2016.08.071.
Tran, T. V., N. T. Dang, and W.-Y. Chung. 2017. “Battery-free smart-sensor system for real-time indoor air quality monitoring.” Sens. Actuators, B 248 (Sep): 930–939. https://doi.org/10.1016/j.snb.2017.01.198.
UN DESA (United Nations Department of Economics and Social Affairs, Population Division). 2015. World urbanization prospects: The 2014 revision. New York: UN DESA.
Verma, A., S. Prakash, V. Srivastava, A. Kumar, and S. C. Mukhopadhyay. 2019. “Sensing, controlling, and IoT infrastructure in smart building: A review.” IEEE Sens. J. 19 (20): 9036–9046. https://doi.org/10.1109/JSEN.2019.2922409.
Xiao, F., and C. Fan. 2014. “Data mining in building automation system for improving building operational performance.” Energy Build. 75 (Jun): 109–118. https://doi.org/10.1016/j.enbuild.2014.02.005.
Zakaria, N. A., Z. Z. Abidin, N. Harum, L. C. Hau, N. S. Ali, and F. A. Jafar. 2018. “Wireless internet of things-based air quality device for smart pollution monitoring.” Int. J. Adv. Comput. Sci. Appl. 9 (11): 65–69. https://doi.org/10.14569/IJACSA.2018.091110.
Zou, H., Y. Zhou, J. Yang, and C. J. Spanos. 2018. “Towards occupant activity driven smart buildings via WiFi-enabled IoT devices and deep learning.” Energy Build. 177 (Oct): 12–22. https://doi.org/10.1016/j.enbuild.2018.08.010.
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Journal of Construction Engineering and Management
Volume 147 • Issue 2 • February 2021
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Jan 20, 2020
Accepted: Aug 31, 2020
Published online: Dec 4, 2020
Published in print: Feb 1, 2021
Discussion open until: May 4, 2021
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