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空调系统传感器故障检测的无中心算法
王世强1,2, 姜子炎1, 邢建春2, 代允闯1, 杨启亮2
0
(1.清华大学建筑节能研究中心;2.解放军理工大学国防工程学院)
摘要:
针对现有空调系统传感器故障检测方法在实时性、适应性等方面的不足,基于建筑无中心智能控制系统,提出了一种诊断传感器慢漂移故障的无中心算法。依据基本物理原理建立约束方程,检验各个变量测量值的一致性,并通过各相邻节点的相互协作,借鉴Hopfield网络中能量函数等相关分析,实现传感器故障检测。该算法无需构建中心节点,不必增加硬件或时序冗余,使数据在系统底层就能自组织地完成诊断,具有并行性和简单性的特点,方便工程实施。以冷冻水二次泵系统为例,对算法进行了验证,结果表明:该方法能实现单个或多个传感器故障的检测,使空调系统传感器故障检测问题得到更合理的解决。
关键词:  集中式空调系统  建筑无中心控制系统  Hopfield 网络  传感器故障检测
DOI:
    
基金项目:国家自然科学基金(61321491)和国家高技术研究发展计划(863计划,2013AA01A213)资助项目。
Decentralized Algorithm for Sensors Fault Detection in HVAC Systems
Wang Shiqiang1,2, Jiang Ziyan1, Xing Jianchun2, Dai Yunchuang1, Yang Qiliang2
(1.Building Energy Research Center, Tsinghua University;2.College of Defense Engineering, PLA University of Science and Technology)
Abstract:
Due to the poor instantaneity and adaptability, the current methods for sensors fault detection are still less applied in practical project. Based on the decentralized intelligent control system of building, a decentralized algorithm for the faults of slow drift in sensors is proposed. The basic idea of the method is to detect the consistency of variables under the equality and inequality constraints established through physic principle. In the decentralized control system, each sensor is fitted with a decentralized controller such that it become a sensor-agent, which can communicate with other sensors and thus operate collaboratively to check out the faulty nodes assited by Hopfield network. Unlike traditional centralized and distributed algorithms, this algorithm does not need to build a central node, regardless of increasing hardware or time redundancy, with good parallelism and simplicity. In the case of secondary chilled water pump system, this method is verified effective to detect the fault of sensors through simulation result.
Key words:  central air-conditioning system  building decentralized control system  hopfield network  sensors fault detection

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