摘要
随着国家绿色低碳循环经济发展,双碳目标达成的迫切需求,清洁生产的实施是企业实现低碳发展的有效手段。构建基于二元语义的清洁生产审核评价方法,选取了两个典型水泥企业,对其进行案例分析,计算得出两个企业评价信息二元组分别为(2,-0.052)、(2,-0.073)。显示该审核评价方法更严谨、可靠、直观的体现清洁生产水平的等级,以及清洁生产水平的差异,二元语义组中的偏差值映射出的企业各项现状的差异可反应清洁生产实际效果及潜力,对企业持续清洁生产工作与低碳发展具有指导意义和辐射作用。
With the development of national green low-carbon circular economy,the demand for carbon peak and carbon neutralization,the implementation of clean production is an effective means for enterprises to achieve low-carbon development.Grade characteristic values and weights are introduced this study,using binary semantic representation to build cleaner production audit evaluation method based on binary semantic.Two typical cement enterprises were selected to carry out case analysis.Their evaluation information binary groups are(2,-0.052)and(2,-0.073).The case analysis shows that the established audit and evaluation method can be more rigorous,reliable and intuitive to reflect the grade of cleaner production level and the difference of cleaner production level.The difference of current situation of enterprises reflected by the deviation value in binary semantics group can reflect the actual effect and potential of cleaner production.It provides guidance for sustainable clean production and low-carbon development of enterprises.
作者
丁建鹤
陶天琪
高博
李祝
Ding Jianhe;Tao Tianqi;Gao Bo;Li Zhu(School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China;Research Center of Low-carbon Economy and Technology, Hubei University of Technology, Wuhan 430068, China)
出处
《环境科学与管理》
CAS
2022年第7期162-167,共6页
Environmental Science and Management
基金
湖北省国家低碳工业园试点能力建设项目(No.2014051)
武汉亚东清洁生产复审工程(校企合作项目)
水泥粉磨过程控制与清洁生产工艺(校企合作项目)。
关键词
清洁生产审核
级别特征值
二元语义
水泥企业
cleaner production audit
grade estimate
binarysemantic
cement industry
