Abstract
Boilers are key industrial equipment in the field of modern manufacturing. In this study, rule-based reasoning (RBR) and case-based reasoning (CBR) are applied into the boiler intelligent design. RBR is adopted to perform like a “sieve” for the acquisition of candidate structure modules. Then, fuzzy comprehensive assessment method is used to select an optimal structure module among the candidates. The optimal structure module is subjected to the CBR process, which includes modification and case retention. It is a minor adjustment process that needs a great amount of prior knowledge. The case retention process gives the system a self-enrich function, which will improve the design ability of the system with continuous use of the system. A case study is presented to validate the correctness and efficiency of proposed method.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
A. Aamodt and E. Plaza, Case-based reasoning: foundational issues, methodological variations, and system approaches, AI Communications, 7 (1994) 39–59.
J. S. Chou, Web-based CBR system applied to early cost budgeting for pavement maintenance project, Expert Systems with Applications, 36 (2009) 2947–2960.
C. Marling, E. Rissland and A. Aamodt, Integrations with casebased reasoning, Cambridge Univ Press, 20 (2005) 241–245.
K. McGarry, S. Wermter, J. MacIntyre and S. P. Campus, Hybrid neural systems: from simple coupling to fully integrated neural networks, Citeseer (1999) 62–93.
J. Munoz, A. Abanades and J. M. Martinez-Val, A conceptual design of solar boiler, Solar Energy, 83 (2009) 1713–1722.
J. O. Raymond, Theory refinement combining analytical and empirical methods, Elsevier, 66 (1994) 273–309.
I. Perfilieva, Logical foundations of rule-based systems, Elsevier, 157 (2006) 615–621.
J. Prentzas and I. Hatzilygeroudis, Categorizing approaches combining rule-based and case-based reasoning, Expert Systems, 24 (2007) 97–122.
D. Rossille, J. F. Laurent and A. Burgun, Modelling a decision-support system for oncology using rule-based and casebased reasoning methodologies, International Journal of Medical Informatics, 74 (2005) 299–306.
N. Schaffel-Mancini, M. Mancini, A. Szlek and R. Weber, Novel conceptual design of a supercritical pulverized coal boiler utilizing high temperature air combustion (HTAC) technology, Energy, 35 (2010) 2752–2760.
R. C. Schank, A theory of learning in computers and peopl, Cambridge University Press (1982).
B. Solberg, P. Andersen, J. M. Maciejowski and J. Stoustrup, Optimal switching control of burner setting for a compact marine boiler design, Control Engineering Practice, 18 (2010) 665–675.
Z. Su, M. Xia, W. Li, T. He and W. Tang, Design review oriented model simplification for collaborative process plant CAD, Association for Computing Machinery, Singapore (2008).
J. F. Xie, W. Zhong, Y. Zhou, Y. L. Wu and S. G. Tong, Algorithm for boiler hydrodynamic calculation based on basic loop adjustment by flow regulation, Zhejiang Daxue Xuebao(Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 44 (2009) 499–504.
Z. Yi, W. Zhong and S. G. Tong, R & D of general-purpose software for boiler fuel-gas and air resistance calculation, Power System Engineering, 6 (2008) 20–25.
W. Zhong, N. Tang, H. B. Zhou and S. G.Tong, Technology and methods of case management for boiler design calculation, Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 42 (2008) 810–814.
Y. Zhou and W. Zhong, Integrated information model for boiler conceptual design, IEEE Computer Society, Wuhan, China (2010) 5520–5523.
Author information
Authors and Affiliations
Corresponding author
Additional information
Recommended by Associate Editor Ki-Hoon Shin
Yuexi Yu received his B.S. degree in Mechanical Engineering from Northeast Dianli University, China, in 1998. He currently works for Electric Power Research Institute Of Guangdong Power Grid Corporation, China. His research interests include the combustion and performance aspects of the boiler.
Yi Zhou received her Ph.D. degree of Engineering Chemical Process Equipment from Zhejiang University, China, in 2011. She currently works for Zhejiang University. Her research interests include the combustion and performance aspects of the boiler, and the simulation of the thermodynamic system.
Rights and permissions
About this article
Cite this article
Yu, Yx., Liao, Hk., Zhou, Y. et al. Reasoning and fuzzy comprehensive assessment methods based CAD system for boiler intelligent design. J Mech Sci Technol 29, 1123–1130 (2015). https://doi.org/10.1007/s12206-015-0224-9
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12206-015-0224-9