Abstract
In order to improve the efficiency and flexibility of scientific computing visualization system, a system architecture based on the idea of separation of mathematical and physical field was proposed. Firstly, all data model classes in scientific computing visualization system were divided into mathematical classes and physical classes. Secondly studied the conversion algorithm between different kinds of classes, and provided some auxiliary algorithms, such as interpolation algorithms, fitting algorithms and so on. Thirdly, a general data preprocessing technique was proposed to fundamentally improve the time efficiency of various visualization algorithms before the start of visualization operation. The above design ideas had been applied in practical projects, and the actual operation results shown that the above architecture design was reasonable and efficient.
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