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MODEL-BASED FAULT DETECTION AND DIAGNOSIS ON AN OFFICE ROOM

机译:办公空间中基于模型的故障检测与诊断

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摘要

Energy comsumption in Building Heating, Ventilation and Air-Conditioning (HVAC) systems is growing quickly. Fault detection and diagnosis (FDD) is necessary for the modern office building since it can be used to trace the cause of the decrease of energy efficiency in an HVAC system or the decrease of the thermal comfort level in the rooms. This paper studies a model-based FDD on an office room. By analyzing the physical relations between all the parts of an office room, the models for the room are built with Simulink~R. Two types of fault are studied in this paper: an opening window and a jammed radiator valve. By introducing a characteristic parameter, these two faults are able to be detected and diagnosed.
机译:建筑物供暖,通风和空调(HVAC)系统中的能源消耗正在迅速增长。故障检测和诊断(FDD)对于现代办公大楼而言是必需的,因为它可用于追踪HVAC系统中能量效率下降或房间中热舒适度下降的原因。本文研究了在办公室房间中基于模型的FDD。通过分析办公室房间各个部分之间的物理关系,使用Simulink〜R构建房间的模型。本文研究了两种类型的故障:开窗和散热器阀被卡住。通过引入特征参数,可以检测和诊断这两个故障。

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