基于大数据的元素协变图自动绘制软件的设计与实现

Design and Implementation of Automatic Drawing Software for Element Covariance Graph Based on Big Data

元素协变图属于探究自然界各类自然元素中各种关联的关键办法,明了地表露出元素在岩浆转换时所产生的相关走向。然而如今的元素协变图在计算和探索自然界大数据的过程中,没能够展露出各个环节的元素自然化学行为的不同,并不能展露大数据环境中自然化学元素中的互相关联,阻碍了自然化学大数据的深入研究和计算。为了满足面对自然界大数据的化学元素协变图的自动绘制需要,本文以穷竭法处理方法为根据,选取区间线性拟合模式,以此来研制出一种能够作用在自然界大数据中的化学元素协变图进行自动绘画的软件(EBME)。接着使用它来展开对从(GEOROC)数据库里所存储的二十多万份自然化学数据展开了差异构建环境中元素协变图的智能绘画。最后可以得出,它确实可以迅速地对自然界的化学大数据集拟合趋势线然后成果画出元素协变图,迅速且明了地展露了元素在其转换的各个环节以及各个构建环境中的自然化学行为特性,向展露自然化学元素的转换研究给予了充分地研究基础。

Element covariation map is a key method to explore various relationships among various natural elements in nature,and to clarify the relative trends of surface exposed elements during magma transformation.However,in the process of calculating and exploring natural big data,the current element covariation map fails to reveal the differences in the natural chemical behavior of elements in each link,and cannot reveal the interconnection among natural chemical elements in the big data environment,hindering the natural in-depth research and computation of chemical big data.In order to meet the needs of automatic drawing of chemical element covariation map in the face of natural big data,this paper takes the exhaustion method as the basis and selects the interval linear ftting model to develop a chemical element that can act on natural big data.The software for automatic drawing of the element covariance map(EBME).Then use it to develop an intelligent painting of the element covariation map in the differentially constructed environment from the more than 200,000 natural chemical data stored in the(GEOROC)database.Finally,it can be concluded that it can quickly fit trend lines to large chemical data sets in nature and then draw element covariation diagrams,which can quickly and clearly reveal elements in all aspects of their transformation and the natural nature of each construction environment.The characteristics of chemical behavior provide a sufficient research basis for the study of the transformation of exposed natural chemical elements.