To improve the recognition rate of perimeter intrusion events,a fiber optic perimeter intrusion event recognition method based onultra weak fiber Bragg grating(UWFBG)arrays is proposed in this paper.The intrusion signal by variational modal decomposition(VMD)is decomposed.Then,the best component is selected and its multiscale fuzzy entropy(MFE)is extracted,and combined with the signal zero crossing rate(ZCR)to construct a feature vector,which is fed into a support vector machine(SVM)fitted with a Sigmoid function to achieve recognition of five different events:waggling,cutting,winding,raining,and non intrusive.Experiments show that the method can accurately identify five common event signals with an average recognition rate of 98%.In addition,the method can output the probability valuesfor the occurrence of each type of event along with each intrusion event category.