媒体融合背景下的数智化媒资云平台建设与实践  

Construction and Practice of Digital and Intelligent Media Asset Cloud Platform in the Context of Media Convergence

作　　者：王路 WANG Lu(Xuzhou Broadcasting and Television Media Group,Xuzhou 221000,China)

机构地区：[1]徐州广播电视传媒集团,江苏徐州221000

出　　处：《电视技术》2025年第1期186-191,共6页Video Engineering

摘　　要：近年来,随着人工智能(Artificial Intelligence,AI)、云计算及大数据等前沿技术的快速发展,广播电视行业正探索将这些先进技术融入自身业务中,这一趋势逐步成为广电行业信息化的新导向。传统媒资系统在技术系统的架构性设计及“存、管、用”的功能性需求上均遭遇了性能瓶颈和功能缺失,难以满足媒体融合环境下对媒体资源的管理和运营需求。对此,围绕媒体融合背景下的数智化媒资云平台的建设与实践展开讨论,涵盖建设目标、技术方案、项目成效等方面,旨在通过基于云原生K8S+DOCKER微服务架构,构建一个智能媒资云平台。In recent years,with the rapid development of cutting-edge technologies such as Artificial Intelligence(Al),cloud computing and big data,the radio and television industry is exploring the integration of these advanced technologies into its own business,and this trend has gradually become a new orientation for the radio and television industry informatization.Traditional media asset systems have encountered performance bottlenecks and function deficiencies in the architectural design of technical systems and the functional requirements of"storage,management and use",which is difficult to meet the management and operation requirements of media resources in the media convergence environment.In this regard,the construction and practice of digital intelligence media asset cloud platform under the background of media convergence are discussed,covering construction objectives,technical solutions,project results and other aspects,aiming to build an intelligent media asset cloud platform based on cloud-native K8S+DOCKER microservice architecture.

关 键 词：人工智能(AI) 云计算 云原生 全平台 

分 类 号：TN948.1[电子电信—信号与信息处理]