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黄骅港智能调度与控制系统运维平台设计与实现
引用本文:徐永梅.黄骅港智能调度与控制系统运维平台设计与实现[J].铁路计算机应用,2022,31(9):69-75.
作者姓名:徐永梅
作者单位:中国铁道科学研究院集团有限公司 通信信号研究所,北京 100081
基金项目:国家能源投资集团有限责任公司科技创新项目(GJNY-20-107)
摘    要:为保障黄骅港智能调度与控制系统可靠运行,减轻设备维护人员工作强度,设计并实现了黄骅港智能调度与控制系统运行维护(简称:运维)平台。该平台基于Spring Boot+Vue的集成开发框架,实现设备在调试、运用到报废整个运营过程中的资源管理;利用SNMP、SSH、WMI、Syslog和JDBC等协议实现设备状态的实时监控;基于客户端代理模式实现文件传输功能;搭载大数据分析技术,建立相应的智能化分析模型,为设备管理提供相应的决策支持;借助可视化技术实现设备监测数据的直观展示。该运维平台的应用可有效提升黄骅港智能调度与控制系统设备的维护效率、降低设备运维管理强度,为制定系统设备的运维管理策略提供参考。

关 键 词:智能调度与控制系统  运营维护平台  资源管理  实时监控  智能决策  可视化展示
收稿时间:2022-04-23

Operation and maintenance platform of intelligent dispatching and control system for Huanghua Port
Institution:Signal & Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
Abstract:In order to ensure the reliable operation of the intelligent dispatching and control system of Huanghua Port, reduce the work intensity of equipment maintenance personnel, this paper designed and implemented the operation and maintenance platform of the intelligent dispatching and control system for Huanghua Port. Based on the integrated development framework of Spring Boot + VUE, the platform implemented the resource management of equipment in the whole operation process from debugging, application to scrapping, used protocols such as SNMP, SSH, WMI, Syslog and JDBC to implement real-time monitoring of equipment status, realized the file transfer function based on the client agent mode, equipped with big data analysis technology to establish the corresponding intelligent analysis model, provide corresponding decision support for equipment management, implement the intuitive display of equipment monitoring data with the help of visualization technology. The application of this operation and maintenance platform can effectively improve the maintenance efficiency of intelligent dispatching and control system equipment for Huanghua Port, reduce the intensity of equipment operation and maintenance management, and provide reference for the formulation of system equipment operation and maintenance management strategies.
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