电声技术2024,Vol.48Issue(5) :15-18.DOI:10.16311/j.audioe.2024.05.005

大数据背景下广播电台发射设备的运维策略研究

Research on Operation and Maintenance Strategy of Broadcasting Station Transmitting Equipment under the Background of Big Data

宋卫红
电声技术2024,Vol.48Issue(5) :15-18.DOI:10.16311/j.audioe.2024.05.005

大数据背景下广播电台发射设备的运维策略研究

Research on Operation and Maintenance Strategy of Broadcasting Station Transmitting Equipment under the Background of Big Data

宋卫红1
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作者信息

  • 1. 霸州市融媒体中心,河北 霸州 065700
  • 折叠

摘要

随着技术的快速发展,大数据在广播电台发射设备的运维管理中扮演着越来越重要的角色.系统分析广播发射系统的现状和传统运维模式的局限性,深入探讨大数据技术的定义、特征及其在运维管理中的应用.详细阐述基于大数据的智能化运维策略,包括智能巡检计划的制定与执行、设备健康度预测及预测性维护.通过分析大数据技术在广播电台发射设备运维中所面临的挑战,提出相应的解决对策,并展望其应用前景.基于结合大数据技术的运维新模式,可提高广播电台发射设备的运维效率和准确性,确保广播服务的连续性和稳定性.

Abstract

With the rapid development of technology, big data plays an increasingly important role in the operation and maintenance management of radio transmitting equipment. This paper systematically analyzes the present situation of broadcast transmission system and the limitations of traditional operation and maintenance mode, and deeply discusses the definition, characteristics and application of big data technology in operation and maintenance management. The intelligent operation and maintenance strategy based on big data is elaborated in detail, including the formulation and implementation of intelligent inspection plan, equipment health prediction and predictive maintenance. By analyzing the challenges faced by big data technology in the operation and maintenance of radio transmitting equipment, this paper puts forward corresponding solutions and looks forward to its application prospect. Based on the operation and innovation mode combined with big data technology, the operation and maintenance efficiency and accuracy of radio transmitting equipment can be improved, and the continuity and stability of broadcasting service can be ensured.

关键词

广播电台/发射设备运维/大数据/智能化/预测性维护

Key words

radio station/launching equipment operation and maintenance/big data/intelligent/predictive maintenance

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出版年

2024
电声技术
电视电声研究所(中国电子科技集团公司第三研究所)

电声技术

影响因子:0.259
ISSN:1002-8684
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