Research on Abnormal Operation Detection of Air Conditioning Systems Based on Isolated Forest Algorithm
Conventional abnormal operation detection of a ir conditioning systems mainly focuses on fault sample feature detection,but there are issues such as false detections and missed detections that affect the normal operation of the air conditioning system.Therefore,a method for detecting abnormal operation of air conditioning systems based on the isolated forest algorithm was designed.Firstly,extract abnormal features of the air conditioning system operation,and determine the abnormal location of the air conditioning system based on the abnormal feature vector.Then,based on the isolated forest algorithm,the threshold for anomaly detection in the operation of the air conditioning system is set,and the normal distribution data of the anomaly in the operation of the air conditioning system is obtained.The anomaly feature data points are isolated to the same plane,and the threshold is used to distinguish whether the feature points are abnormal,thus completing anomaly detection.Through comparative experiments,it was verified that the detection accuracy of this method is higher and can be applied in practical life.
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