摘要
随着体育赛事的快速发展和规模的不断扩大,传统的资源调度决策模式已难以应对日益复杂的赛事管理需求。本文采用文献资料法、逻辑分析法等研究方法,探讨体育赛事资源调度决策的智能化转型逻辑与路径,旨在通过人工智能和大数据技术实现其从静态评估到动态预测的转变。研究认为:体育赛事资源调度决策智能化转型的逻辑在于从静态评估转向动态预判,通过数据驱动决策构建精准调度体系,并实现多目标协同优化。据此,从技术层、操作层和制度层提出其系统性转型路径,包括数字孪生系统的构建、动态调整机制的实现及规则适配体系的完善。
With the rapid development and expanding scale of sports events,traditional resource scheduling decision-making models can no longer meet the increasingly complex demands of event management.This paper employs research methods such as literature review and logical analysis to explore the logic and pathway of intelligent transformation for resource scheduling decision-making in sports events,aiming to achieve the shift from static evaluation to dynamic prediction through artificial intelligence and big data technologies.The study finds that the logic of intelligent transformation for resource scheduling decision-making in sports events lies in transitioning from static evaluation to dynamic prediction,constructing a precise scheduling system driven by data,and achieving multi-objective collaborative optimization.Accordingly,systematic transformation paths are proposed from the technical,operational,and institutional levels,specifically including the construction of a digital twin system,the implementation of a dynamic adjustment mechanism,and the improvement of a rule adaptation system.
作者
秦士昊
Qin Shihao(Schol of Economics and Management,Shanghai University of Sport,Shanghai 200438,China)
出处
《体育科技文献通报》
2025年第6期246-248,235,共4页
Bulletin of Sport Science & Technology
关键词
体育赛事资源调度
智能化转型
数字孪生系统
sports event resource scheduling
intelligent transformation
digital twin system
