Technology application of intelligent operation and maintenance cloudplatform in ice storage air conditioning system of a medical testing center

In order to solve the problems of high energy consumption and low level of intelligent operation and maintenance of centralized air conditioning system in public buildings, this paper takes the ice storage air conditioning system of a medical testing center as an example to introduce the application of the intelligent operation and maintenance cloud platform based on big data analysis. The intelligent operation and maintenance technology deployed on the cloud platform includes fault diagnosis rule base, fault graph diagnosis and schedule optimal control algorithm, and the effects of the fault diagnosis and energy saving control are analysed through the actual project operation data. The results show that the fault diagnosis rule can effectively detect the operation faults and parameter anomalies of HVAC equipment in the ice storage air conditioning system. The fault graph diagnosis can locate and trace the specific faults in order to help the maintenance staff to take timely equipment maintenance measures. With the application of schedule optimal algorithm in the ice storage air conditioning system, the typical monthly energy saving rate is 7.46% and the cost saving rate is 11.08%.