基于微分方程的环保大数据分类技术研究

Research on Big Data Classification for Environmental Protection Based on Differential Equation

环保工程需要引用大量数据,将其进行有效分类对环保工程的推进有重要意义,传统方法借助线性方程分类环保数据,分类过程繁琐,工作效率低,准确性不佳。为解决此问题,基于微分方程的角度研究了环保大数据分类技术,建立分类模型,阐述模型工作过程,通过实验检验给出技术的可行性。实验结果证明,研究的环保大数据分类技术在短时间内能够完成大量的环保数据分类,且分类准确性极高,能够有效减少工作人员的压力,对环保工程的进一步开展有重要意义。

Environmental protection projects need to quote large amounts of data,and effective classification is of great significance for the promotion of environmental protection projects. Traditional methods classify environmental data with linear equations,which is cumbersome in classification process,inefficient in work and poor in accuracy. In order to solve this problem,we studied the classification technology of environmental large data based on the differential equation,established the classification model,elaborated the working process of the model,and gave the feasibility of the technology through experimental tests. The experimental results show that the research of environmental big data classification technology can accomplish a large number of environmental data classification in a short time,and the classification accuracy is very high,which can effectively reduce the pressure of workers,and is of great significance for further development of environmental protection projects.