Therefore, the study of transforming volume data in the temperature field to visual image is of great value in engineering.
因此，本文通过对钢坯温度场中大容量数据进行可视化的初步研究，有重要的工程应用价值。
This is a prototypical big data problem. It involves great volume, variety, and velocity of data.
这是典型的大数据问题，涉及到数据的数量、类型和速度等等。
The result shows that improved evolutionary programming is much more appropriate of none line model with a great volume of data.
结果表明对于数据量庞大的非线性模型的优化求解，改进后的进化规划算法具有更强和更广泛的适用性。
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