基于云网边端协同的铁路无人值守牵引变电所运维方案研究 |
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引用本文: | 王通. 基于云网边端协同的铁路无人值守牵引变电所运维方案研究[J]. 铁路计算机应用, 2022, 31(7): 58-62. DOI: 10.3969/j.issn.1005-8451.2022.07.11 |
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作者姓名: | 王通 |
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作者单位: | 华为技术有限公司 中国政企数字政府交通系统部,北京 100077 |
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摘 要: | 为解决当前铁路无人值守牵引变电所运营维护(简称:运维)过程中面临的诸多问题,基于云网边端协同概念架构,研究制定铁路无人值守牵引变电所运维方案,提升无人值守牵引变电所的智能化运维水平。文章介绍了云网边端协同概念,阐述了运维方案的架构设计和数据流向,与前端智能、边缘计算、云计算、人工智能、大数据等技术紧密结合,通过对场景实现的适应性、可用性、畅通性、价值性进行分析,证明该方案的可行性,能够满足铁路无人值守牵引变电所的运维需求。
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关 键 词: | 牵引变电所 云网边端协同 无人值守 运行维护 辅助监控 边缘计算 |
收稿时间: | 2022-02-10 |
Operation and maintenance scheme of railway unattended traction substation based on collaboration across cloud,network, edge and device |
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Affiliation: | China Government & Enterprise Digital Government Transport Account Dept, Huawei Technologies Co. Ltd., Beijing 100077, China |
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Abstract: | In order to solve the problems in the operation and maintenance process of the current railway unattended traction substation, this paper studied and formulated the operation and maintenance scheme of the railway unattended traction substation based on collaboration across cloud, network, edge and device architecture, so as to improve the intelligent operation and maintenance level of the unattended traction substation. The paper introduced the collaboration concept across cloud, network, edge and device, expounded the architecture design and data flow of the operation and maintenance scheme, which is closely combined with front-end intelligence, edge computing, cloud computing, artificial intelligence, big data and other technologies. By analyzing the adaptability, availability, smoothness and value of the scenario, the feasibility of the scheme was proved. The scheme could meet the operation and maintenance needs of railway unattended traction substation. |
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