数字化创新驱动下的运营商数据中心巡查人员轨迹追踪策略探索

Exploration of Strategies for Tracking Patrol Personnel Traject ories in Telecommunication Operator Data Centers Driven by Digital Innov ation

[研究目的]在数字化转型的浪潮中,提升数据中心的维护效率已成为推动智能运维和行业革新的核心任务。[研究方法]基于图像识别和人工智能大数据模型,提出了一种系统化的巡检人员轨迹记录与位移顺序分析方法。通过对运营商网络维护规范执行情况进行全面的定量评估,为优化维护行为和提升效率提供坚实的科学依据。[研究结论]结合定性与定量分析的创新方式不仅显著提高了数据中心的运维效率和安全性,更为无人值守机房的智能化管理奠定了强有力的技术基础。这一方法在数字化运维体系的构建和流程标准化中具有深远的影响,展现出跨行业智能运维的广泛应用前景,促进了技术与管理的深度融合,推动了企业在复杂环境中的灵活应对能力与可持续发展。

[Research purpose]In the wave of digital transformation,enhancing the maintenance efficiency of data centers has become a core task for promoting intelligent operations and industry innovation.[Research method]This paper proposes a systematic method for recording the trajectories of inspection personnel and analyzing their displacement sequences,based on image recognition and artificial intelligence big data models.To provide a solid scientific basis for optimizing maintenance practices and improving efficiency,it conducted a comprehensive quantitative assessment of network maintenance standards execution across telecommunication operators.[Research conclusion]The results indicate that this innovative approach,which combines qualitative analysis and quantitative analysis,not only significantly enhances the operational efficiency and safety of data centers but also lays a strong technical foundation for the intelligent management of unmanned facilities.This method has profound implications for the construction of digital operation systems and process standardization,showcasing broad application prospects for intelligent operations across industries and promoting deep integration of technology and management,thereby enhancing enterprises'capacity for flexible response and sustainable development in complex environments.