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罗浩, 赵颖, 关则彬. 铁路电务大数据平台中通信智能运维应用功能开发[J]. 铁路计算机应用, 2021, 30(3): 27-31.
引用本文: 罗浩, 赵颖, 关则彬. 铁路电务大数据平台中通信智能运维应用功能开发[J]. 铁路计算机应用, 2021, 30(3): 27-31.
LUO Hao, ZHAO Ying, GUAN Zebin. Development of railway communication intelligent operation and maintenance application functions in big data platform for railway communication and signal[J]. Railway Computer Application, 2021, 30(3): 27-31.
Citation: LUO Hao, ZHAO Ying, GUAN Zebin. Development of railway communication intelligent operation and maintenance application functions in big data platform for railway communication and signal[J]. Railway Computer Application, 2021, 30(3): 27-31.

铁路电务大数据平台中通信智能运维应用功能开发

Development of railway communication intelligent operation and maintenance application functions in big data platform for railway communication and signal

  • 摘要: 为方便通信专业掌握设备运维状况,优化通信设备运维流程,依托铁路电务大数据平台,开发通信智能运维应用功能。简要介绍铁路电务大数据平台架构,概述通信智能运维业务分析和应用功能设计,总结实现应用功能所采用的数据接入、地理信息应用和数据可视化等关键技术。通过开发设备综合监控、设备全寿命周期管理、故障智能诊断等功能,通信专业现有各类数据进一步得以综合利用,并以灵活多样的可视化方式展示,为通信专业人员提供丰富直观的信息和准确及时的决策依据。通信智能运维应用功能已集成到电务大数据平台中,现场试用效果良好。

     

    Abstract: In order to help the communication department to master the status of operation and maintenance of the communication equipment and to improve the process of equipment operation and maintenance, a suite of application functions of railway communication intelligent operation and maintenance is developed based on the big data platform for railway communication and signal. Firstly, a brief introduction is made to the architecture of the platform. Then, the business analysis and function design of railway communication intelligent operation and maintenance application are described. And the key technologies used to implement those function are summarized, including data access, geographic information application and data visualization. Through the development of the functions of integrated monitoring, full life cycle management and intelligent fault diagnosis of the communication equipment and so on, the data now available in communication department can be more fully tapped and displayed flexibly in various visualized manners, thus providing rich and intuitive information and accurate decision-making basis for the communication staff. Those application functions have been integrated with the big data platform, good effects have achieved in trial operation on site.

     

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