【作者】 张玉峰；

【导师】 于国栋；

【作者基本信息】 山东大学 ， 工商管理（MBA）（专业学位）， 2024， 硕士

【摘要】 随着信息技术的不断发展,数据中心运维工作正日益成为保障系统正常运行、提高业务效率和降低运营成本的关键所在。近年来,人工智能技术的快速崛起为解决数据中心面临的运维难题提供了新的思路。本研究旨以S公司SmartOps系统为研究对象,重点研究SmartOps系统智能化转型策略,并通过详实的研究结果为同行业和有智能化转型需求的决策者提供智能化转型相关的实用性指导。在文献研究中,本文首先回顾了数据中心运维的演变轨迹,从早期的手动操作、依赖人工经验的传统运维模式,逐步向更加高效、智能的方向迈进。随着现代数据中心规模的不断扩大和复杂度的急剧增加,传统运维模式在响应速度、故障预防、资源优化等方面显得力不从心,难以满足当前及未来运维的迫切需求。在此背景下,智能化、自动化及预测性维护等先进理念和技术应运而生,成为推动运维质量飞跃的关键力量。具体而言,在运维业务中引入人工智能技术显著降低了设备故障率,增加了设备的可用性,有效提升了数据中心设备的稳定性,并且显著提高了整体的运维效率。本研究通过S公司SmartOps系统智能化转型,深入分析了影响SmartOps系统智能化转型的推动因素、在智能化转型中的遇到的共性问题,最终给出SmartOps产品智能化转型的解决方案和保障措施,同时结合影响运维产品智能化程度的关键要素,给出了量化SmartOps系统智能化水平的评价流程。本研究对于数据中心管理者、运维技术专家以及数据中心管理决策者具有实际应用价值,为其制定更加智能、高效的运维策略提供了有益的参考和指导。在未来的数字化、智能化时代,充分发挥人工智能在数据中心运维中的作用,将有助于推动企业实现更高水平的运维效率,同时可以提升数字信息服务企业的服务质量。更多还原

【Abstract】 With the continuous development of information technology,data center operation and maintenance work is increasingly becoming the key to ensuring the normal operation of systems,improving business efficiency,and reducing operating costs.In recent years,the rapid rise of artificial intelligence technology has provided new ideas for solving the operational challenges faced by data centers.The purpose of this study is to focus on the SmartOps system of Company S,and to study the intelligent transformation strategy of the SmartOps system.Through detailed research results,practical guidance related to intelligent transformation will be provided to decision-makers in the same industry and those with intelligent transformation needs.In the literature research,this article first reviews the evolution trajectory of data center operation and maintenance,gradually moving towards a more efficient and intelligent direction from early manual operations and traditional operation and maintenance modes that rely on human experience.With the continuous expansion of modern data centers and the sharp increase in complexity,traditional operation and maintenance models seem inadequate in response speed,fault prevention,resource optimization,and other aspects,making it difficult to meet the urgent needs of current and future operations and maintenance.In this context,advanced concepts and technologies such as intelligence,automation,and predictive maintenance have emerged,becoming key forces driving the leap in operation and maintenance quality.Specifically,the introduction of artificial intelligence technology in operations and maintenance significantly reduces equipment failure rates,increases equipment availability,effectively improves the stability of data center equipment,and significantly improves overall operational efficiency.This study conducted an in-depth analysis of the driving factors and common problems encountered in the intelligent transformation of SmartOps system through the intelligent transformation of S company’s SmartOps system.Finally,solutions and guarantee measures for the intelligent transformation of SmartOps products were proposed.At the same time,key factors affecting the degree of intelligence of operation and maintenance products were combined,and an evaluation process for quantifying the level of intelligence of SmartOps system was provided.This study has practical application value for data center managers,operation and maintenance technical experts,and data center management decisionmakers,providing useful reference and guidance for them to develop more intelligent and efficient operation and maintenance strategies.In the future digital and intelligent era,fully leveraging the role of artificial intelligence in data center operation and maintenance will help promote enterprises to achieve higher levels of operation and maintenance efficiency,while also improving the service quality of digital information service enterprises.更多还原