Please wait a minute...
 首页  期刊介绍 期刊订阅 联系我们 横山亮次奖 百年刊庆
 
最新录用  |  预出版  |  当期目录  |  过刊浏览  |  阅读排行  |  下载排行  |  引用排行  |  横山亮次奖  |  百年刊庆
清华大学学报(自然科学版)  2020, Vol. 60 Issue (4): 348-356    DOI: 10.16511/j.cnki.qhdxxb.2019.22.045
  土木工程 本期目录 | 过刊浏览 | 高级检索 |
基于RCM方法的建筑设备维护策略定量化决策模型
马智亮, 向星磊, 任远
清华大学 土木工程系, 北京 100084
Quantitative decision-making model for building facility maintenance strategies based on the RCM method
MA Zhiliang, XIANG Xinglei, REN Yuan
Department of Civil Engineering, Tsinghua University, Beijing 100084, China
全文: PDF(1304 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 建筑设备系统维护策略决策科学性的缺乏导致设备的维护成本长期居高不下。为解决该问题,将以可靠性为中心的维护(RCM)方法引入到建筑设备系统维护策略的决策中,以提高决策水平。首先分析建筑设备系统组成并辨识出其中的关键设备,然后从失效率、失效可检测性和失效后果3个方面评价关键建筑设备的失效风险。聚焦关键设备建立维护策略的定量化决策模型,并提出对应的Monte Carlo仿真求解方法。以某建筑空调系统风管的维护策略决策为例,对该模型的有效性进行验证。结果表明,与现行维护策略相比,利用该模型可节约成本约18.5%。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
马智亮
向星磊
任远
关键词 建筑设备维护以可靠性为中心的维护(RCM)决策模型Monte Carlo仿真    
Abstract:The lack of scientific decision-making methods for building maintenance leads to long-term high maintenance costs. This study introduces the reliability centered maintenance (RCM) method to improve building maintenance decision-making. The building facility system is first analyzed to identify key facilities. Then, the failure risk of the key building facilities is evaluated in terms of the failure rate, failure detectability and failure consequences. A quantitative maintenance decision-making model is then developed for the key building facilities and is solved using Monte Carlo simulations. Finally, a building air-conditioning system air duct is used as an example to verify the model effectiveness. The results show that this model reduces maintenance costs by about 18.5% compared with the current maintenance strategy.
Key wordsbuilding facility maintenance    reliability centered maintenance (RCM)    decision-making model    Monte Carlo simulations
收稿日期: 2019-04-12      出版日期: 2020-04-03
基金资助:国家重点研发计划项目(2017YFC0704200)
引用本文:   
马智亮, 向星磊, 任远. 基于RCM方法的建筑设备维护策略定量化决策模型[J]. 清华大学学报(自然科学版), 2020, 60(4): 348-356.
MA Zhiliang, XIANG Xinglei, REN Yuan. Quantitative decision-making model for building facility maintenance strategies based on the RCM method. Journal of Tsinghua University(Science and Technology), 2020, 60(4): 348-356.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2019.22.045  或          http://jst.tsinghuajournals.com/CN/Y2020/V60/I4/348
  图1 改进前后的 RCM 方法应用流程
  表1 建筑设备系统组成及关键设备(带下划线的为关键设备)
  表2 建筑设备失效安全性后果分级评价表
  表3 建筑设备失效任务性后果分级评价表
  图2 视情维护策略下建筑设备维护情形示意图
  表4 不同情形下的建筑设备维护成本与使用周期
  表5 Mo n t eC a r l o仿真输入参数分布形式
  表6 建筑设备失效后果与对应的容许失效率建议值
  图3 修复性策略下求解最小维护成本的流程图
  图4 预防性策略和视情策略下求解 最小维护成本的流程图
  图5 预防性维护和视情维护策略下的维护成本
[1] SEELEY I H. Building maintenance[M]. 2nd ed. London, UK:Macmillan Education, 1987.
[2] LAVY S, JAWADEKAR S. A case study of using BIM and COBie for facility management[J]. International Journal of Facility Management, 2014, 5(2):1-16.
[3] HORNER R M W, EL-HARAM M A, MUNNS A K. Building maintenance strategy:A new management approach[J]. Journal of Quality in Maintenance Engineering, 1997, 3(4):273-280.
[4] LIU R, ISSA R R A. Survey:Common knowledge in BIM for facility maintenance[J]. Journal of Performance of Constructed Facilities, 2015, 30(3):04015033.
[5] AL-NAJJAR B, INGWALD A, KANS M. Maintenance in real estate and manufacturing industries:Differences, problems, needs and potentials:Four case studies[C]//Proceedings of the 10th World Congress on Engineering Asset Management. Berlin, Germany:Springer, 2016:13-27.
[6] 左洪福, 蔡景, 王华伟. 维修决策理论与方法[M]. 北京:航空工业出版社, 2008. ZUO H F, CAI J, WANG H W. Maintenance decision theory and method[M]. Beijing:Aviation Industry Press, 2008. (in Chinese)
[7] DING S H, KAMARUDDIN S. Maintenance policy optimization:Literature review and directions[J]. The International Journal of Advanced Manufacturing Technology, 2015, 76(5-8):1263-1283.
[8] 贾希胜. 以可靠度为中心的维修决策模型[M]. 北京:国防工业出版社, 2007. JIA X S. The decision models for reliability centered maintenance[M]. Beijing:National Defense Industry Press, 2007. (in Chinese)
[9] 贾希胜, 甘茂治, 程中华. 以可靠性为中心的维修[J]. 工程机械与维修, 2002(11):116-117. JIA X S, GAN M Z, CHENG Z H. Reliability centered maintenance[J]. Construction Machinery & Maintenance, 2002(11):116-117. (in Chinese)
[10] SULLIVAN G, PUGH R, MELENDEZ A P, et al. Operations and maintenance best practices:A guide to achieving operational efficiency[R]. Richland, USA:Pacific Northwest National Laboratory (PNNL), 2002.
[11] 何厚全. RCM在住宅维修中的应用研究[D]. 南京:东南大学, 2005. HE H Q. The study on the use of reliability centered maintenance in housing maintenance[D]. Nanjing:Southeast University, 2005. (in Chinese)
[12] SALAH M, OSMAN H. Performance-based reliability-centered maintenance planning for hospital facilities[J]. Journal of Performance of Constructed Facilities, 2018, 32(1):04017113.
[13] 刘薇, 张喜明, 孙萍. 物业设施设备管理与维修[M]. 2版. 北京:清华大学出版社, 2010. LIU W, ZHANG X M, SUN P. Maintenance and management of property facilities and equipment[M]. 2nd ed. Beijing:Tsinghua University Press, 2010. (in Chinese)
[14] BABAK A, LUIS R. MEHDI H. Estimating parameters of the three-parameter Weibull distribution using a neural network[J]. European Journal of Industry Engineer, 2008, 2(4):428-445.
[15] DRAGAN J, DARJIA M. On nonlinear weighted errors-in-variables parameter estimation problem in the three-parameter Weibull model[J]. Applied Mathematics and Computation, 2010, 215(10):3599-3609.
[16] LIU H C, LIU L. Risk evaluation approaches in failure mode and effects analysis:A literature review[J]. Expert Systems with Applications, 2013, 40(2):828-838.
No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《清华大学学报(自然科学版)》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn