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%。
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.
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