人工智能技术在减少纺织服装行业碳排放中的发展与应用  

Development and application of artificial intelligence technology in reducing carbon emissions in the textile and apparel industry

作　　者：佟欢 刘洋洋 TONG Huan;LIU Yangyang(School of Design,Jiangnan University,Wuxi 214122,China;Department of Fashion and Beauty,Cheongju University,Cheongju City 360-600,Korea;School of Creactive Art and Fashion Design,Huzhou Vocational&Technical College,Huzhou 313000,China)

机构地区：[1]江南大学设计学院,江苏无锡214122 [2]清州大学时装与美容学科,韩国清州360-600 [3]湖州职业技术学院艺术与时尚创意学院,浙江湖州313000

出　　处：《印染》2024年第6期89-95,共7页China Dyeing and Finishing

摘　　要：为了明确人工智能技术助力纺织服装行业减少碳排放的环境效益,采用文献分析法,介绍了人工智能技术在减少纺织服装行业碳排放中的发展历程和具体应用,分析了人工智能技术在促进能源结构(ES)转型、企业可持续性盈利方面的优势,以及在技术、能源、数据等问题上面临的挑战。以人工智能在纺织服装企业实现碳减排的实际效益为例,基于信号理论、系统论、生命周期评估等理论,展示了人工智能在能效优化、供应链优化、材料和设计创新等方面的应用效果及作用原理,并针对人工智能遇到的挑战提出了建设性的建议。In order to clarify the environmental benefits of artificial intelligence(AI)technology in helping the tex⁃tile and apparel industry to reduce carbon emissions,this paper adopts the literature analysis method,introduc⁃es the development history and specific application of AI technology in reducing carbon emissions in the textile and apparel industry,and analyses the advantages of AI technology in facilitating the transformation of the ener⁃gy structure(ES),the profitability of corporate sustainability,as well as the challenges faced in the issues of technology,energy,data,etc..Taking the actual benefits of AI in achieving carbon emission reduction in textile and apparel enterprises as an example,the article demonstrates the effectiveness and principles of AI′s applica⁃tion in energy efficiency optimization,supply chain optimization,and material and design innovation based on theories such as signaling theory,systems theory,and life-cycle assessment,and offers constructive sugges⁃tions on the challenges encountered by AI.

关 键 词：人工智能技术 纺织业 碳排放 可持续 

分 类 号：X-1[环境科学与工程] F425[经济管理—产业经济] G301[文化科学]