Research on Health Big Data Preprocessing Technology Based on AHSMM and Bacterial Foraging Algorithm

With the development of big data technology and the popularity of Internet of Things technology, the demand for management is becoming more and more serious. In order to solve the problem of health big data preprocessing technology, the method of Adaptive Hidden Semi-Markov Model (AHSMM) based on bacterial foraging algorithm is proposed. First of all, the bacterial foraging algorithm referring health big data is used to apply the equipment health diagnosis and prediction methods to the actual case of the United States Caterpillar company’s standard health prediction experiments. Next, the proposed method is applied to the actual case of hydraulic pump of Caterpillar company. The results verify the effectiveness and stability of the proposed algorithm.