变风量空调阀门卡死故障检测阈值在线训练策略

依据专家经验选取阈值的专家规则故障检测方法，容易受限于经验，且不能准确地反映空调系统的运行性能特征。设计了基于专家规则的空调故障检测方法，采用大小合适的阈值来判断系统是否发生故障。对调试成功后的空调系统，采用一种基于规则的阈值在线训练策略进行系统性能监控与故障检测。利用局域网在线读取云服务器中无故障运行数据，训练85%、90%、95%等3种不同置信度下的阈值，并以新风阀卡死和冷水阀卡死故障为例进行测试检验。研究结果表明：空气处理机组新风阀卡死和冷水阀卡死的故障检测率均大于80.0%;系统正常运行时的无故障检测率均大于75.0%;训练阈值时，作为外部输入的置信度越大，训练出的阈值越大，导致系统故障检测率较低而无故障检测率较高。     

Online Fault Detection Configuration on Equipment Side of a Variable-Air-Volume Air Handling Unit

With the development of the technology of the Internet of Things, more and more operational data can be collected from air conditioning systems. Unfortunately, the most of existing air conditioning controllers mainly provide controlling functions more than storing, processing or computing the measured data. This study develops an online fault detection configuration on the equipment side of air conditioning systems to realize these functions. Modbus communication is served to collect real-time o...