Civil Aircraft Materials Prediction and Configuration Platform of Multi Language Hybrid Programming

Abstract

It is very important for the economic operation of civil aircraft to make reasonable procurement and configuration of aviation materials between multiterminals.The theoretical algorithm content formed by the research of aviation material prediction and configuration is relatively complex.In order to promote the effective application of these algorithm programs,based on the Java language,and the algorithm programs written in Matlab and Python are integrated,a multi language hybrid programming system platform for the prediction and configuration of civil aircraft is developed.Firstly,the support vector machine algorithm and marginal analysis algorithm integrated in the system platform are introdused,and the implementation of hybrid programming is described.Then,the details of the system platform design are expounded,and the implementation of hybrid programming and the conversion method of different types of programming language’s parameter are explained.Finally,the system platform functions are tested with the actual engineering data.The result shows that the platform’s human-machine interface is friendly and easy to operate,and it can better realize the functions of aviation material prediction and aviation material configuration,which can provide reference and ideas for the relevant theoretical algorithm to meet the engineering needs through platform technology.

Keywords

• java
• matlab
• python
• hybrid programming
• prediction and configuration of aviation material
• platform