大数据视域下印染行业环保趋势预测与策略  

Prediction and strategy of environmental protection trend in printing and dyeing industry from the perspective of big data

作　　者：戚龙琦[1] QI Longqi(Hubei Three Gorges Polytechnic,Yichang 443000,China)

机构地区：[1]湖北三峡职业技术学院,湖北宜昌443000

出　　处：《印染助剂》2024年第7期71-75,共5页Textile Auxiliaries

基　　金：2023年度湖北省教育厅科研计划项目;中国职业技术教育学会2023年度一般课题(ZJ2023B079)。

摘　　要：印染行业作为全球制造领域的重要组成部分,其生产过程中大量使用水资源、化学染料和助剂,产生的废水和废气对生态系统和人类健康构成严重威胁。随着环保意识的增强和法规的严格执行,印染行业亟须寻求新的方法和技术来减少对环境的影响,实现可持续发展。印染行业通过利用大数据技术,收集和分析大规模数据,更准确地预测环保趋势,优化资源配置,提高废弃物管理效率,实施有效的污染预防措施,并确保政策合规,为行业的环境管理和政策制定提供科学依据和决策支持。As an important part of the global manufacturing sector,the printing and dyeing industry uses a large amount of water resources,chemical dyes and auxiliaries in its production process,resulting in wastewater and exhaust gases that pose a serious threat to ecosystems and human health.With the increasing awareness of environmental protection and the strict enforcement of regulations,the printing and dyeing industry urgently needs to seek new methods and technologies to reduce the impact on the environment and achieve sustainable development.By using big data technology,the printing and dyeing industry can collect and analyze large-scale data to more accurately predict environmental trends,optimize resource use,improve waste management efficiency,implement effective pollution prevention measures,and ensure policy compliance,providing scientific basis and decision support for the industry's environmental management and policy making.

关 键 词：大数据 印染行业 环保趋势 环保策略 

分 类 号：TS193.6[轻工技术与工程—纺织化学与染整工程]