Ontology-Based Knowledge Model to Support Construction Noise Control in China
Publication: Journal of Construction Engineering and Management
Volume 144, Issue 2
Abstract
Construction noise control (CNC) is the process of identifying potential noise emissions and establishing noise-abatement plans to mitigate pollution impacts, a process that requires interdisciplinary knowledge and project-specific information. This study introduces an ontological approach to structure all known information on noise control with regard to construction operations, aiming to improve access to knowledge relating to CNC planning. More importantly, information that can be used to analyze the potential influences of noise-abatement measures in terms of costs, schedules, and technical rules is also considered in order to facilitate integrated decision making by outlining various outcomes for each alternative. Literature and expert reviews were conducted to identify the critical concepts and interrelationships between the method statement and the noise-control plan. Consequently, an ontology-based semantic model for CNC planning is presented as a modeling framework, which could be further enriched with more operational knowledge considering the specific purpose of an individual CNC plan. The prototype is applied to excavation construction to illustrate how CNC knowledge can be stored and reused through ontological and semantic web techniques.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
No data were generated or analyzed during the study. Information about the Journal’s data sharing policy can be found here: http://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001263.
Acknowledgments
The authors would like to thank the National Natural Science Foundation of China (Nos. 51378297 and 51778335) for providing financial support for this study.
References
Alvanchi, A., Lee, S., and AbouRizk, S. (2012). “Dynamics of working hours in construction.” J. Constr. Eng. Manage., 66–77.
Alzraiee, H., Zayed, T., and Moselhi, O. (2015). “Dynamic planning of construction activities using hybrid simulation.” Autom. Constr., 49(1), 176–192.
BCHC (Building Construction Handbook Committee). (2013). Building construction handbook, 5th Ed., China Building Industry Press, Beijing.
Beckman, T. J. (1999). “The current state of knowledge management.” Knowledge management handbook, J. Liebowitz, ed., CRC Press, Boca Raton, FL.
Benevolenskiy, A., Roos, K., Katranuschkov, P., and Scherer, R. J. (2012). “Construction processes configuration using process patterns.” Adv. Eng. Inform., 26(4), 727–736.
BMCHUD (Beijing Municipal Commission of Housing and Urban-rural Development). (2012). Quota set for building construction and fitting out works in Beijing, Beijing.
BMEPB (Beijing Municipal Environmental Protection Bureau). (2015). The certification result of environmental monitoring agency, Beijing.
Brandt, S. C., Morbach, J., Miatidis, M., Theißen, M., and Jarke, M. (2008). “An ontology-based approach to knowledge management in design processes.” Comput. Chem. Eng., 32(1), 320–342.
BSI (British Standards Institution). (2009). “Code of practice for noise and vibration control on construction and open sites. I: Noise.” BS 5228-1:2009, London.
CHBCC (Calculation Handbook of Building Construction Committee). (2013). Calculation handbook of building construction, 3rd Ed., China Building Industry Press, Beijing.
Darlington, M. J., and Culley, S. J. (2008). “Investigating ontology development for engineering design support.” Adv. Eng. Inform., 22(1), 112–134.
EEMC (Excavation Engineering Manual Committee). (2009). Excavation engineering manual, 2nd Ed., China Building Industry Press, Beijing.
El-Diraby, T. A., Lima, C., and Feis, B. (2005). “Domain taxonomy for construction concepts: Toward a formal ontology for construction knowledge.” J. Comput. Civ. Eng., 394–406.
El-Rayes, K., and Moselhi, O. (2001). “Impact of rainfall on the productivity of highway construction.” J. Constr. Eng. Manage., 125–131.
Gangolells, M., and Casals, M. (2012). “An ontology-based approach for on-site integrated environmental and health and safety management.” Revista Ingenieria de Constr., 27(3), 103–127.
Gannoruwa, A., and Ruwanpura, J. Y. (2007). “Construction noise prediction and barrier optimization using special purpose simulation.” Proc., Winter Simulation Conf., IEEE, Piscataway, NJ, 2073–2081.
Gilchrist, A., Allouche, E. N., and Cowan, D. (2003). “Prediction and mitigation of construction noise in an urban environment.” Can. J. Civ. Eng., 30(4), 659–672.
Gruber, T. R. (1993). “A translation approach to portable ontology specifications.” Knowl. Acquisition, 5(2), 199–220.
Gruber, T. R. (2008). “Ontology.” Encyclopedia of database systems, L. Liu and M. Tamer Özsu, eds., Springer, New York.
Hammad, A. W. A., Akbarnezhad, A., and Rey, D. (2016). “A multi-objective mixed integer nonlinear programming model for construction site layout planning to minimize noise pollution and transport costs.” Autom. Constr., 61, 73–85.
Hanna, A. S., Taylor, C. S., and Sullivan, K. T. (2005). “Impact of extended overtime on construction labor productivity.” J. Constr. Eng. Manage., 734–739.
Hendrickson, C., and Au, T. (2008). “Project management for construction planning.” ⟨http://pmbook.ce.cmu.edu/09_Construction_Planning.html⟩ (Feb, 4, 2017).
Horridge, M. (2011). A practical guide to building OWL ontologies using Protege 4 and CO-ODE tools, Univ. of Manchester, Manchester, U.K.
Kim, K., and Kim, K. J. (2010). “Multi-agent-based simulation system for construction operations with congested flows.” Autom. Constr., 19(7), 867–874.
Li, X., Chow, K. H., Zhu, Y., and Lin, Y. (2016). “Evaluating the impacts of high-temperature outdoor working environments on construction labor productivity in China: A case study of rebar workers.” Build. Environ., 95(1), 42–52.
Ma, D. Y. (2002). Noise and vibration control engineering, China Machine Press, Beijing.
MEPPRC (Ministry of Environmental Protection of the People’s Republic of China). (2008). “Environmental quality standard for noise.” GB 3096-2008, Beijing.
MEPPRC (Ministry of Environmental Protection of the People’s Republic of China). (2009). “Technical guidelines for noise impact assessment.” HJ 2.4-2009, Beijing.
MEPPRC (Ministry of Environmental Protection of the People’s Republic of China). (2011). “Emission standard of environment noise for boundary of construction site.” GB12523-2011, Beijing.
MEPPRC (Ministry of Environmental Protection of the People’s Republic of China). (2014). “China environmental noise prevention and control annual report 2013.” Beijing.
MHURDPRC (Ministry of Housing and Urban-Rural Development of the People’s Republic of China). (2011). “Code for design of building foundation.” GB 50007-2011, Beijing.
MHURDPRC (Ministry of Housing and Urban-Rural Development of the People’s Republic of China). (2012). “Supporting technical specification of deep foundation excavation.” JGJ 120-2012, Beijing.
MHURDPRC (Ministry of Housing and Urban-Rural Development of the People’s Republic of China). (2013). “Standard method of measurement for building construction and fitting-out works.” GB 50854-2013, Beijing.
MHURDPRC (Ministry of Housing and Urban-Rural Development of the People’s Republic of China). (2013). “Unified standard for constructional quality acceptance of building engineering.” GB 50300-2013, Beijing.
MHURDPRC (Ministry of Housing and Urban-Rural Development of the People’s Republic of China). (2015). “The qualification standard of construction enterprise.” Beijing.
Ning, X., and Lam, K. C. (2013). “Cost-safety trade-off in unequal-area construction site layout planning.” Autom. Constr., 32, 96–103.
Noy, N. F., and McGuinness, D. L. (2001). “Ontology development 101: A guide to creating your first ontology.”, Stanford Univ., Stanford, CA, 25.
OWLViz version 5.0.3 [Computer software]. Univ. of Manchester, Manchester, U.K.
Pellet version 2.30 [Computer software]. Clark & Parsia, LLC, Washington, DC.
Protégé version 5.10 [Computer software]. Stanford Univ., Stanford, CA.
Protégé Wiki. (2017). “DL query tab.” ⟨http://protegewiki.stanford.edu/wiki/DLQueryTab⟩ (Jan. 20, 2017).
RazaviAlavi, S., and AbouRizk, S. (2015). “A hybrid simulation approach for quantitatively analyzing the impact of facility size on construction projects.” Autom. Constr., 60, 39–48.
SCNPC (Standing Committee of the National People’s Congress). (1996). Environmental noise pollution prevention law of the PRC, Beijing.
Tah, J. H. M., and Abanda, H. F. (2011). “Sustainable building technology knowledge representation: Using semantic web techniques.” Adv. Eng. Inform., 25(3), 547–558.
W3C (World Wide Web Consortium). (2004). “SWRL: A semantic web rule language combining OWL and RuleML.” ⟨http://www.w3.org/Submission/2004/SUBM-SWRL-20040521⟩ (Jan. 20, 2017).
W3C (World Wide Web Consortium). (2005). “OWL web ontology language overview.” ⟨http://www.w3.org/TR/owl-features/⟩ (Feb. 7, 2017).
W3C (World Wide Web Consortium). (2008). “SPARQL query language for RDF.” ⟨https://www.w3.org/TR/rdf-sparql-query/⟩ (Feb. 7, 2017).
Wang, H.-H., and Boukamp, F. (2011). “Ontology-based representation and reasoning framework for supporting job hazard analysis.” J. Comput. Civ. Eng., 442–456.
Watkins, M., Mukherjee, A., Onder, N., and Mattila, K. (2009). “Using agent-based modeling to study construction labor productivity as an emergent property of individual and crew interactions.” J. Constr. Eng. Manage., 657–667.
Zhang, H., Zhai, D., and Yang, Y. N. (2014). “Simulation-based estimation of environmental pollutions from construction processes.” J. Clean. Prod., 76, 85–94.
Zhang, S., Boukamp, F., and Teizer, J. (2015). “Ontology-based semantic modeling of construction safety knowledge: Towards automated safety planning for job hazard analysis (JHA).” Autom. Constr., 52, 29–41.
Zhong, B. T., Ding, L. Y., Love, P. E. D., and Luo, H. B. (2015). “An ontological approach for technical plan definition and verification in construction.” Autom. Constr., 55, 47–57.
Zhong, B. T., Ding, L. Y., Luo, H. B., Zhou, Y., Hu, Y. Z., and Hu, H. M. (2012). “Ontology-based semantic modeling of regulation constraint for automated construction quality compliance checking.” Autom. Constr., 28, 58–70.
Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 144 • Issue 2 • February 2018
Copyright
©2017 American Society of Civil Engineers.
History
Received: Feb 11, 2017
Accepted: Jul 27, 2017
Published online: Nov 24, 2017
Published in print: Feb 1, 2018
Discussion open until: Apr 24, 2018
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.