摘要
大型体育赛事场馆智慧化转型是数字时代的必然趋势,也是提升体育赛事效能、增强体育赛事竞争力的关键举措。运用文献资料、案例分析、专家访谈等研究方法,对数字技术赋能大型体育赛事场馆智慧化转型进行探讨。研究认为,数字技术赋能大型体育赛事场馆智慧化转型的作用机制包括:向智能监测转变,促进赛事场馆安全防护全面化;向集群动态转移,加快赛事场馆数据运维高效化;向人机交互转型,助力赛事场馆执裁保障精准化;向绿色运行转换,推进赛事场馆能耗管理低碳化。大型体育赛事场馆在智慧化转型的实践过程中,存在着全域防控受限、集群协同低效、人机协作失范与低碳转型迟滞等现实挑战;基于此,提出全域防控升级、算力生态重构、交互机制优化、能源治理转型等实践进路。
The intelligent transformation of large-scale sports event venues is an inevitable trend in the digital era and a crucial initiative for enhancing event efficacy and competitiveness.Utilizing research methods such as literature review,case analysis and expert interviews,this study explores the intelligent transformation of large-scale sports event venues empowered by digital technology.It suggests that the action mechanisms in it includes:transitioning towards intelligent monitoring to promote comprehensive security coverage,shifting towards cluster dynamics to accelerate efficient data operation and maintenance,advancing towards human-machine interaction to enable precise officiating and guarantee,and moving towards green operations to facilitate low-carbon energy consumption management.During the practical implementation of intelligent transformation,the venues encounter challenges including limited comprehensive security coverage,inefficient cluster collaboration,non-standardized human-machine interaction,and delayed low-carbon transition.Accordingly,this study proposes pathways for advancement:upgrading comprehensive security systems,reconstructing the computing ecology,optimizing interaction mechanisms,and transforming energy governance.
作者
冯加付
宋业猛
FENG Jiafu;SONG Yemeng(Editorial Department of Journal,Xi'an Physical Education University,Xi'an 710068,Shaanxi,China;School of Economics and Management,Shanghai University of Sport,Shanghai 200438,China)
出处
《沈阳体育学院学报》
北大核心
2025年第5期66-73,共8页
Journal of Shenyang Sport University
基金
国家社会科学基金一般项目“我国群众性体育赛事协同治理模型构建与推进路径研究”(21BTY051)。
关键词
数字技术
大型体育赛事场馆
智慧化转型
作用机制
数据运维
digital technology
large-scale sports event venue
intelligent transformation
action mechanism
data operation and maintenance
