Information management has been used in the SAMP system of Chinese Academy of Sciences, which greatly improves efficiency of the use and management of the equipment. However, the SAMP system cannot scientifically allocate resources in some ways, such as the system couldn't monitor the equipment while it is just running for doing nothing or is starting up at abnormal time. By this, the user record of the instrument and equipment must be analyzed immediately in order to find out the abnormal data and optimize the use efficiency of the equipment. In this paper, these data will be analyzed and forecast by the method of Bayes classification and Logistic Regression. Then the forecast data with be compared with the real results to find out the abnormal data and the reason how the abnormal data generate. Finally, the management of the instrument and equipment will be optimized base on the practice situation. In this way, the use efficiency of the instrument will be improved.