基于数据挖掘的水质分析仪器性能改进研究  

Study on the Performance Improvement of Water Quality Analysis Instrument Based on Data Mining

作　　者：范斌 Fan Bin(Xiamen Jilongde Environmental Engineering Co.,Ltd.,Xiamen 361000,China)

机构地区：[1]厦门市吉龙德环境工程有限公司,福建厦门361000

出　　处：《皮革制作与环保科技》2023年第24期100-102,共3页Leather Manufacture and Environmental Technology

摘　　要：基于数据挖掘的水质分析仪器性能改进研究,主要是将数据挖掘技术融入水质分析仪器,并利用数据挖掘强大的数据分析、整合等能力,提供水质分析仪器最终呈现数据的价值,同时利用数据挖掘技术中的多种算法,提高水质分析仪器的数据分析性能。因此,本文首先对水质分析仪器的性能进行了评估,阐述了水质分析仪器目前存在的问题及面临的挑战,以及数据挖掘技术在水质分析中的应用等,为本次研究提供理论支持;其次完成数据预处理和特征选择操作,为之后的研究内容做好铺垫工作;再进行模型构建与性能改进,并提出实验设计与结果分析,细化了研究内容;最后对本次研究的核心观点进行了讨论与展望。Based on the data mining of water quality analysis instrument performance improvement research,mainly is the data mining technology into the water quality analysis instrument,the use of data mining powerful data analysis,integration ability,provide the water quality analysis instrument finally present the value of the data,at the same time using various algorithms of data mining technology,improve the water quality analysis instrument of data analysis performance.Therefore,this paper first summarizes the performance evaluation of water quality analysis instruments,expounds the existing problems and challenges of water quality analysis instruments,and the application of data mining in water quality analysis to provide theoretical support;then completes data preprocessing and feature selection to prepare the subsequent research content;model construction and performance improvement,proposes the experimental design and result analysis,refine the study,and finally the core points of discussion and prospect.

关 键 词：数据挖掘 水质分析仪器 性能改进 

分 类 号：TS5[轻工技术与工程—皮革化学与工程]