Support vector machine（SVM） as the representative of artificial intelligent techniques has been widely used in the intelligent sensor system

however

traditional SVM suffers from the catastrophic forgetting phenomenon

which results in loss of previously learned information

so it is unable to meet the requirements of real-time intelligent sensor system.The strength of Learn+ + lies in its ability to learn new data without forgetting previously acquired knowledge

even when the new data introduce new classes.In order to solve the above problem

a Learn+ + integration method based on hull vectors is proposed.Experimental results show that the algorithm not only has the ability of incremental learning

improve training speed and reduce the storage size

but also can ensure the classification precision

which meets the current demand of intelligent sensor systems for online learning.