The structure-oriented lumping (SOL) method has been widely applied to molecular-level modeling and optimization in the refining industry. Calculating the physicochemical properties of products obtained by the SOL models can effectively guide the evaluation of product quality and optimization of the process. In this study, the SOL method was improved by extending the structural increments from 22 to 38 to describe the molecules in petroleum more accurately. According to the basic law that the properties and structures of molecules are inseparable, the structural increments with similar physical meanings were combined into a functional group to reduce the dimension to 11 characteristic parameters to describe the molecular structure, and a property prediction method that can be combined with the molecularlevel refining models based on the optimized SOL method was constructed. In addition, the accuracy of the selection and definition of the 11 functional groups was verified by analyzing and discussing the effects of functional groups on the properties, which, in turn, ensured the accuracy of the property prediction models. Compared with other property prediction methods, this method can be combined with the SOL method to provide reliable predictions of the boiling point, critical temperature, critical volume, critical pressure, density, cetane number, motor octane number, and research octane number of molecules.

With the innovation of computer hardware technology and software technology, virtual simulation technology has been applied in various fields, including sports training and basketball teaching process. In this paper, the basketball technology actions optimization system is designed by using MATLAB virtual simulation method, and the initial signal calculus model of basketball technology actions is established by using wireless sensor signal transmission principle, and then using the trained neural network method carries on processing for the initial signal, combining the approximation degree of optimal training signal and original signal determine the validity and reliability of the simulation. Through the simulation, we finally get the optimization allocation effect of the number of neurons’ best basketball technology actions, which provides a new computer method for the exploration of basketball training new method.

Abstract. As an important part of chromatography instruments, chromatographic column plays an important role in the progress of science and the development of production. In order to avoid the traditional process ,design -processing-test -Fixed design -re-processing and effectively shorting the design cycle save a lot of manpower, material and financial resources. This paper offers to watch the changes of flow profile within the column by the application of simulation software ANSYS CFX .Besides, according to the distribution of flow profile, the traditional column has been done a lot of dynamic simulation, especially the stigma part of the column. From a fluid Machinery perspective, we simulated and designed the structure, and then found out the best separation efficiency of the column structure.