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)  2017, Vol. 57 Issue (12): 1272-1279    DOI: 10.16511/j.cnki.qhdxxb.2017.25.058
  自动化 本期目录 | 过刊浏览 | 高级检索 |
基于能量平衡的暖通空调系统故障检测方法
杨文1,2, 赵千川1
1. 清华大学 自动化系, 北京 100084;
2. 航天发射场可靠性重点实验室, 海口 570100
Fault detection in HVAC systems based on energy balances
YANG Wen1,2, ZHAO Qianchuan1
1. Department of Automation, Tsinghua University, Beijing 100084, China;
2. Key Laboratory of Space Launching Site Reliability Technology, Haikou 570100, China
全文: PDF(1463 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 暖通空调在长期运行过程中,设备和传感器故障时有发生,不仅给暖通系统的运行带来安全风险,也是导致建筑能源浪费的主要原因之一。该文针对建筑暖通空调系统故障检测问题,分析了暖通空调系统能量传输和变换的主要环节,建立了建筑暖通空调能量网络模型。在此基础上,利用能量守恒这一基本物理定律,给出了基于能量平衡的故障检测方法。该方法利用暖通空调系统能量的传递和变换过程,建立起跨多个系统的传感器数据关联关系,将空气处理环节、水处理环节以及配电系统的测量数据有效整合,充分利用全局性的冗余信息,进而能同时针对空调设备故障、传感器故障以及涉及配电等跨系统传播的故障进行检测。实例验证表明:该方法建模简单、计算简便、易于工程实现。
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
杨文
赵千川
关键词 暖通空调故障检测能量平衡    
Abstract:The air conditioning equipment and sensors in heating, ventilation and air conditioning (HVAC) systems can fail which is one of the main causes of building energy waste and risks to the safe operation of the HVAC system. A fault detection method based on energy balances was developed based on an HVAC energy network model. Energy conservation is then used to detect faults. The method analyzes the energy transfers for the air flows, the waterflows and the measured data in the distribution system in a global correlation across multiple systems. The method can simultaneously detect air conditioning equipment failures, sensor failures, and cross-system failures involving the power distribution. An example shows that the method is simple and easy to implement.
Key wordsheating, ventilation and air conditioning (HVAC)    fault diagnosis    energy balance
收稿日期: 2017-04-06      出版日期: 2017-12-21
ZTFLH:  TP277  
通讯作者: 赵千川,教授,E-mail:zhaoqc@tsinghua.edu.cn     E-mail: zhaoqc@tsinghua.edu.cn
引用本文:   
杨文, 赵千川. 基于能量平衡的暖通空调系统故障检测方法[J]. 清华大学学报(自然科学版), 2017, 57(12): 1272-1279.
YANG Wen, ZHAO Qianchuan. Fault detection in HVAC systems based on energy balances. Journal of Tsinghua University(Science and Technology), 2017, 57(12): 1272-1279.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2017.25.058  或          http://jst.tsinghuajournals.com/CN/Y2017/V57/I12/1272
  图1 典型暖通空调工艺流程图
  表1 暖通空调主要设备及能量变换关系
  表2 暖通空调主要能量传输形式
  图2 物理网络
  图3 能量网络
  图4 故障条件下能量输入与输出
  图5 合成虚拟节点
  图6 传感器与不相邻设备同时故障
  图7 传感器与相邻设备同时故障
  图8 相邻设备同时出现故障
  图9 相邻传感器同时出现故障
  图10 暖通空调系统结构
  图11 暖通空调系统能量网络
  表3 各传感器测量的能量
  表4 暖通空调主要能量传输形式
  图12 某数据中心冷冻水侧系统图
  图13 某数据中心冷冻水侧能量网络图
[1] Ahn B C, Mitchell J W, McIntosh I B D. Model-based fault detection and diagnosis for cooling towers[J]. ASHRAE Transactions, 2001(107):839-846.
[2] Chen Y M, Wang S W. Sensor fault tolerant control of outdoor air flow based on neural networks[J]. Indoor Air Quality, Ventilation and Energy Conservation in Buildings, 2001(2):231-242.
[3] Choi K, Namburu S M, Azam M S, et al. Fault diagnosis in HVAC chillers[J]. IEEE Instrumentation & Measurement Magazine, 2005, 8(3):24-32.
[4] WANG Shengwei, WANG Jinbo. Robust sensor fault diagnosis and validation in HVAC systems[J]. Transactions of the Institute of Measurement and Control, 2002, 24(3):231-262.
[5] DU Zhimin, JIN Xinqiao. Detection and diagnosis for sensor fault in HVAC systems[J]. Energy Conversion and Management, 2007, 48(3):693-702.
[6] YAN Ying, Luh P B, Pattipati K R. Fault diagnosis of HVAC air-handling systems considering fault propagation impacts among components[J]. IEEE Transactions on Automation Science and Engineering, 2017, 14(2):705-717.
[7] Wang S, Zhou Q, Xiao F. A system-level fault detection and diagnosis strategy for HVAC systems involving sensor faults[J]. Energy and Buildings, 2010, 42(4):477-490.
[8] Katipamula S, Brambley M R. Review article:Methods for fault detection, diagnostics, and prognostics for building systems-A review, Part I[J]. HVAC & R Research, 2005, 11(1):3-25.
[9] Katipamula S, Brambley M R. Review article:Methods for fault detection, diagnostics, and prognostics for building systems-A review, part Ⅱ[J]. HVAC & R Research, 2005, 11(2):169-187.
[10] Yu Y, Woradechjumroen D, Yu D. A review of fault detection and diagnosis methodologies on air-handling units[J]. Energy and Buildings, 2014, 82:550-562.
[11] Beghi A, Brignoli R, Cecchinato L, et al. Data-drivenfault detection and diagnosis for HVAC water chillers[J]. Control Engineering Practice, 2016, 53:79-91.
[12] HOU Zhijian, LIAN Zhiwei, YAO Ye, et al. Data mining based sensor fault diagnosis and validation for building air conditioning system[J]. Energy Conversion and Management, 2006, 47(15):2479-2490.
[13] Yan R, Ma Z, Kokogiannakis G, et al. A sensor fault detection strategy for air handling units using cluster analysis[J]. Automation in Construction, 2016, 70:77-88.
[14] 江亿, 朱伟峰. 暖通空调系统传感器的故障检测[J]. 清华大学学报(自然科学版), 1999, 39(12):54-56, 61.JIANG Yi, ZHU Weifeng. Sensor fault detection in heating, ventilation and air-conditioning systems[J]. Journal of Tsinghua University (Science and Technology), 1999, 39(12):54-56, 61. (in Chinese)
[15] 江亿, 朱伟峰, 周强华. 暖通空调系统故障诊断的故障向量空间法[J]. 清华大学学报(自然科学版), 1999, 39(12):57-61.JIANG Yi, ZHU Weifeng, ZHOU Qianghua. Fault direction space method for fault detect ion and diagnosis in HVAC systems[J]. Journal of Tsinghua University (Science and Technology), 1999, 39(12):57-61. (in Chinese)
[16] Venkatasubramanian V, Rengaswamy R, Yin K, et al. A review of process fault detection and diagnosis:Part I:Quantitative model-based methods[J]. Computers & Chemical Engineering, 2003, 27(3):293-311.
[17] 韩光泽, 华贲, 陈清林, 等. 能量的普遍化表达式与能态公设[J]. 华南理工大学学报(自然科学版), 2001, 29(7):48-50.HAN Guangze, HUA Ben, CHEN Qinglin, et al. The general energy and the energy state postulate[J]. Journal of South China University of Technology (Natural Science Edition), 2001, 29(7):48-50. (in Chinese)
[18] 陈皓勇, 文俊中, 王增煜, 等. 能量网络的传递规律与网络方程[J]. 西安交通大学学报, 2014, 48(10):66-76.CHEN Haoyong, WEN Junzhong, WANG Zengyu, et al. Transfer laws and equations of energy networks[J]. Journal of Xi'an Jiaotong University, 2014, 48(10):66-76. (in Chinese)
[19] 晋欣桥, 杜志敏, 惠广海, 等. 楼宇空调水系统温度传感器固定偏差故障的诊断方法[J]. 机械工程学报, 2004, 40(9):42-47.JIN Xinqiao, DU Zhimin, HUI Guanghai, et al. Fault detection and diagnosis method for the temperature sensors with fixed bias in water systems of HVAC[J]. Journal of Mechanical Engineering, 2004, 40(9):42-47. (in Chinese)
[20] Taal A, Itard L, Zeiler W, et al. Automatic detection and diagnosis of faults in sensors used in EMS[C]//Proceedings of the 12th REHVA World Congress. Aalborg, Denmark:Aalborg University Press, 2016:1-10.
[1] 王永剑, 金波, 董健. 支持完整性检测的安全日志[J]. 清华大学学报(自然科学版), 2016, 56(3): 237-245.
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