湖北农业科学 ›› 2022, Vol. 61 ›› Issue (10): 74-79.doi: 10.14088/j.cnki.issn0439-8114.2022.10.012

• 资源·环境 • 上一篇    下一篇

面向中小型企业的废水排放水质监测模型研究

俞武1, 薛梦瑶2,3, 何斌2,3, 马金萍1, 杜子龙4   

  1. 1.宁夏西干渠管理处,银川 750021;
    2.河海大学商学院,江苏 常州 213022;
    3.常州市大数据挖掘与知识管理重点实验室,江苏 常州 213022;
    4.常州兰陵自动化设备有限公司,江苏 常州 213002
  • 收稿日期:2021-08-10 出版日期:2022-05-25 发布日期:2022-06-14
  • 通讯作者: 薛梦瑶(1998-),女,河南三门峡人,在读硕士研究生,研究方向为数据挖掘与情报分析,(电话)18360825957(电子信箱)yao_xmy@126.com。
  • 作者简介:俞 武(1966-),男,宁夏银川人,工程师 ,主要从事水利工程管理研究工作 ,(电话)15009562215(电子信箱)yw2115@163.com。

Study on water quality monitoring model of wastewater discharge for small and medium enterprises

YU Wu1, XUE Meng-yao2,3, HE Bin2,3, MA Jin-ping1, DU Zi-long4   

  1. 1. Ningxia Xigan Canal Administration, Yinchuan 750021,China;
    2. Business School of Hohai University,Changzhou 213022,Jiangsu,China;
    3. Changzhou Key Laboratory of Big Data Mining and Knowledge Management,Changzhou 213022,Jiangsu,China;
    4. Changzhou Lanling Automation Devices Co.,Ltd.,Changzhou 213002,Jiangsu,China
  • Received:2021-08-10 Online:2022-05-25 Published:2022-06-14

摘要: 在分析了国内外学者水质研究现状的基础上,明确了中小型企业排放废水特征,对排放废水历史水质数据进行分类和关联分析,分析容易监测的水质指标与水质等级之间的关系,提出了基于水质等级分类的中小型企业排放废水水质监测模型。利用决策树算法构建水质等级分类模型,可以有效替代传统采购价高、运行成本高的设备,为企业、政府等相关部门提供方便、科学的排放废水监测体系。以某市河道水质数据进行模型验证,准确率可达78.56%,证明该方法的可行性,为中小型企业排放废水提供全天候在线监测,为分布广、比重大、监管难的中小企业排放废水提供可推广的监测体系。

关键词: 水质等级分类, 决策树算法, 中小型企业, 废水排放水质监测

Abstract: Based on the analysis of the research status of water quality of domestic and foreign scholars, the characteristics of wastewater discharged by small and medium-sized enterprises were clarified, the historical water quality data of wastewater discharged were classified and correlated, and the relationship between the easily monitored water quality index and water quality grade was analyzed. The water quality monitoring model of wastewater discharged by small and medium-sized enterprises based on water quality grade classification was proposed. The decision tree algorithm was used to build the water quality classification model. It can effectively replace the traditional equipment with the high purchase price and high operation cost, and provide a convenient and scientific wastewater discharge monitoring system for enterprises, governments and other relevant departments. Finally, the model was verified with the river water quality data of a city, and the accuracy rate was 78.56%,which proved the feasibility of this method,and could provide all-weather on-line monitoring for small and medium-sized enterprises to discharge wastewater, and provided a scalable monitoring system for wastewater discharge of small and medium-sized enterprises with wide distribution, a large proportion and difficult supervision.

Key words: water quality classification, decision tree algorithm, small and medium enterprises, water quality monitoring of wastewater discharge

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