基于多属性分类的建筑物损伤案例推理方法研究
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摘要
建筑物损伤信息大多以非结构化离散的方式加以储存,因此建立建筑物损伤案例推理流程已成为提高建筑运维管理水平的重要研究方向.本文根据损伤属性分类的结果设计了符合国际分类标准的结构化的损伤信息采集样例,并完成了损伤领域的本体建模.本文设计了基于案例距离推理的损伤信息多属性分组案例库构建方法,通过计算建筑物损伤等级案例与分组中心点的距离构建案例距离加权优化求解模型,简化损伤决策中多属性比较的复杂过程.本文建立了基于分组式损伤案例库的损伤案例推理流程,验证了针对案例信息的分组预处理后进行不同损伤案例相似度计算的方法,实现损伤信息的有效利用.结果表明所提方法可以较好地解决建筑物损伤多属性信息的分类问题.
Building defects information is normally stored in discrete and unstructured way, for this reason it has become an important field in related research to build up the case-based reasoning framework of building defects for enhancing the level of building maintenance management. In this paper, according to the multi-attribute building defect model, a defect collection sample corresponding to the international classification standards has been designed to capture core contents of defect information, and defect domain ontology is developed based on the defect categories. Then, a multi-attribute classified case-databased of building defect is constructed using case-based distance approach. By calculating the distance between the typical case with defect level and the case group center point, an optimization model of the multiattribute weights is proposed to simplify the complex comparison process of multi attributes in decision making related to building defects. In this paper, a defect case-based reasoning framework with classified case-databased is designed to verify the effectiveness of the calculation method of case similarity which is performed with a preprocessing of classified information of building defects. The analytical result shows that the proposed method has a good performance in solving multi-attribute classification of building defects.
Building defects information is normally stored in discrete and unstructured way, for this reason it has become an important field in related research to build up the case-based reasoning framework of building defects for enhancing the level of building maintenance management. In this paper, according to the multi-attribute building defect model, a defect collection sample corresponding to the international classification standards has been designed to capture core contents of defect information, and defect domain ontology is developed based on the defect categories. Then, a multi-attribute classified case-databased of building defect is constructed using case-based distance approach. By calculating the distance between the typical case with defect level and the case group center point, an optimization model of the multiattribute weights is proposed to simplify the complex comparison process of multi attributes in decision making related to building defects. In this paper, a defect case-based reasoning framework with classified case-databased is designed to verify the effectiveness of the calculation method of case similarity which is performed with a preprocessing of classified information of building defects. The analytical result shows that the proposed method has a good performance in solving multi-attribute classification of building defects.
引文
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[9] Farn Z P, Li Y H, Zhang Y. Generating project risk response strategies based on CBR:A case study[J]. FExpert Systems with Applications, 2015, 42(6):2870-2883.
[10] Ji S H, Park M, Lee H S. Case adaptation method of case-based reasoning for construction cost estimation in korea[J]. Journal of Construction Engineering&Management, 2012, 138(1):43-52.
[11]徐源清.基于XML的案例推理技术在施工索赔中的应用研究[J].工程管理学报,2011, 25(5):539-543.
[12] Cai F L, Liao X, Wang K L. An interactive sorting approach based on the assignment examples of multiple decision makers with different priorities[J]. Annals of Operations Research, 2012, 197(1):87-108.
[13]王翯华,朱建军,方志耕.基于案例分析的语言信息灰靶决策分类模型[J].系统工程理论与实践,2013, 33(12):3172-3181.Wang H H, Zhu J J, Fang Z G. Grey target cluster decision method on linguistic evaluation case-based[J]. Systems Engineering—Theory&Practice, 2013, 33(12):3172-3181.
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[15]万聪.基于Omniclass的建筑企业项目信息集成管理[D].武汉:华中科技大学,2013.Wan C. The information integrated management of construction enterprise project based on Omniclass[D].Wuhan:Huazhong University of Science&Technology, 2013.
[16]张鹏,王旭春,宋晨.基于GIs的沉陷区建筑物损害评价可视化分析[J].地下空间与工程学报,2015,11(5):1355-1361.Zhang C, Wang X C, Song C. Evaluation visualization of building resources damage in coal mining subsidence area based on GIS[J]. Chinese Journal of Underground Space and Engineering, 2015, 11(5):1355-1361.
[17]朱树根,倪雪,胡克旭.钢筋混凝土框架结构震损定量评定方法研究[J].土木工程学报,2012, 45(S2):32-36.Zhu S G, Ni X, Hu K X. Researches on the method of damage assessment for RC frame structures in earthquake[J].China Civil Engineering Journal, 2012, 45(S2):32-36.
[18]沈建良,陆春光,袁健,等·大数据技术在电力大用户用电特征分类中的应用[J].浙江电力,2017, 36(12):37-41.Shen J L, Lu C G, Yuan J, et al. Application of big data technology in power consumption feature classification of large customers[J]. Zhejiang Electric Power, 2017, 36(12):37-41.
[19]陈晔,孙汪泉,徐海燕.基于聚类分析的案例距离决策模型[J]·中国管理科学,2015, 23(S1):102-107.
[20]廖勇.基于案例推理的多属性分类拓展研究及应用[D].南京:南京航空航天大学,2016.Liao Y. Research and application of multi-attribute classification based on case based reasoning[D]. Nanjing:Nanjing University of Aeronautics and Astronautics, 2016.
[21]刘晓文,胡克瑾.融合CBR和本体的决策支持系统框架及应用[J].计算机工程与应用,2009, 45(3):235-238.Liu X W, Hu K J. DSS framework based on ontology and CBR[J]. Computer Engineering and Applications,2009, 45(3):235-238.
[2] Pheng L S, Wee D. Improving maintenance and reducing building defects through ISO 9000[J]. Journal of Qualit.y in Mainteinance Engineering, 2013, 7(1):6-24.
[3]孙晓丹,欧进萍,侯钢领,等·基于Bayesian估计的整体和局部信息融合的损伤识别[J].工程力学,2012, 29(6):234-240.Sun X D, OU J P, Hou G L, et al. Damage icdentification ba^sed orn Bayesian fusion of glolbal and local information[J]. Engineering Meclihanics, 2012, 29(6):234-240.
[4] Zhao Y, Zhaing M, Guo X, et al. Research on matching method for case retrieval process in CBR based on FCM[J]. Procedia Engineering, 2017, 174:267-274.
[5]张双狮,兰月新,刘冰月,等.基于案例推理的群体性亊件智能决策支持WEB系统研究[tJ].悄报杂志,2017, 36(4):106-111.Zhang S S, Lan Y X, Liu B Y, et al. On case-based reasoning intelligence decision support. system based on web for group eveints[J]. Journal of Intelligence, 2017, 36(4):106-111.
[6]孔钦,叶长青.基于案例推理的故障诊断算法[J].计算机系统应用,2016, 25(1):181 186.Kong Q, Ye C Q. Fault, diagnosis algorithm with case-based reasoning[J]. Computer Systems&Applications,2016, 25(1):181 186.
[7]蔡玫,曹杰,于小兵·基于应急实例本体模型的应急案例推理方法[.J]·情报杂志,2016,35(6):18,3 188.Cai M, Cao J, Yu X B.Amethod of emergency case-based reasoning based on emergency ctase ontology[J].Journal of Intelligence, 2016, 35(6):183-188.
[8]李旭.建筑领域本体构建及其案例推理研究[D].哈尔滨:东北林业大学,2016.Li X. Research on construction of architecture domain ont.ology and case-based reasoning[D]. Harbin:Northeast Forest.ry University, 2016.
[9] Farn Z P, Li Y H, Zhang Y. Generating project risk response strategies based on CBR:A case study[J]. FExpert Systems with Applications, 2015, 42(6):2870-2883.
[10] Ji S H, Park M, Lee H S. Case adaptation method of case-based reasoning for construction cost estimation in korea[J]. Journal of Construction Engineering&Management, 2012, 138(1):43-52.
[11]徐源清.基于XML的案例推理技术在施工索赔中的应用研究[J].工程管理学报,2011, 25(5):539-543.
[12] Cai F L, Liao X, Wang K L. An interactive sorting approach based on the assignment examples of multiple decision makers with different priorities[J]. Annals of Operations Research, 2012, 197(1):87-108.
[13]王翯华,朱建军,方志耕.基于案例分析的语言信息灰靶决策分类模型[J].系统工程理论与实践,2013, 33(12):3172-3181.Wang H H, Zhu J J, Fang Z G. Grey target cluster decision method on linguistic evaluation case-based[J]. Systems Engineering—Theory&Practice, 2013, 33(12):3172-3181.
[14] Chong W K, Low S P. Latent building defects:Causes and design strategies to prevent them[J]. Journal of Performance of Constructed Facilities, 2006, 20(3):213-221.
[15]万聪.基于Omniclass的建筑企业项目信息集成管理[D].武汉:华中科技大学,2013.Wan C. The information integrated management of construction enterprise project based on Omniclass[D].Wuhan:Huazhong University of Science&Technology, 2013.
[16]张鹏,王旭春,宋晨.基于GIs的沉陷区建筑物损害评价可视化分析[J].地下空间与工程学报,2015,11(5):1355-1361.Zhang C, Wang X C, Song C. Evaluation visualization of building resources damage in coal mining subsidence area based on GIS[J]. Chinese Journal of Underground Space and Engineering, 2015, 11(5):1355-1361.
[17]朱树根,倪雪,胡克旭.钢筋混凝土框架结构震损定量评定方法研究[J].土木工程学报,2012, 45(S2):32-36.Zhu S G, Ni X, Hu K X. Researches on the method of damage assessment for RC frame structures in earthquake[J].China Civil Engineering Journal, 2012, 45(S2):32-36.
[18]沈建良,陆春光,袁健,等·大数据技术在电力大用户用电特征分类中的应用[J].浙江电力,2017, 36(12):37-41.Shen J L, Lu C G, Yuan J, et al. Application of big data technology in power consumption feature classification of large customers[J]. Zhejiang Electric Power, 2017, 36(12):37-41.
[19]陈晔,孙汪泉,徐海燕.基于聚类分析的案例距离决策模型[J]·中国管理科学,2015, 23(S1):102-107.
[20]廖勇.基于案例推理的多属性分类拓展研究及应用[D].南京:南京航空航天大学,2016.Liao Y. Research and application of multi-attribute classification based on case based reasoning[D]. Nanjing:Nanjing University of Aeronautics and Astronautics, 2016.
[21]刘晓文,胡克瑾.融合CBR和本体的决策支持系统框架及应用[J].计算机工程与应用,2009, 45(3):235-238.Liu X W, Hu K J. DSS framework based on ontology and CBR[J]. Computer Engineering and Applications,2009, 45(3):235-238.
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