信江梯级航运枢纽船闸智能化维养的数据交互与决策优化

Data Exchange and Decision Optimization for Intelligent Maintenance of Xinjiang Ship Locks

梯级航运工程规模巨大、运行环境复杂,维养工作面临着检测感知不足、检测维养时间受限以及结构评估与维养决策难等问题。基于上述船闸运维问题及数据管理需求,以江西信江梯级航运枢纽为研究对象,研究建立了智能船闸的维养数据总体技术框架,实施智能航运船闸维养数据交互设计,优化了智能化监控管理、设备与人员的自动化部署、运维服务与决策管理等功能的建设,实现了各应用系统的自动化配置、监控预警以及运维服务的发布并对运维数据进行深度整合,形成了专业数据挖掘平台与维养数据可视化愿景,通过数据化驱动的模式使船闸运维管理及服务能力得到进一步提升,并为其他同类型项目的维养系统研究提供参考。

Due to the huge scale and complex operating environment of cascade shipping hub engineering,its maintenance tasks still face problems such as insufficient detection perception,limited detection and maintenance time,and the need to improve the level of structural evaluation and maintenance decision-making.Based on the above ship lock operation and maintenance problems and data management requirements,taking the Jiangxi Xinjiang cascade shipping junction as the research object,this paper studies and establishes the overall technical framework of maintenance data for intelligent ship locks,implements the interactive design of intelligent shipping ship lock maintenance data,and optimizes the construction of functions such as intelligent monitoring and management,automated deployment of equipment and personnel,operation and maintenance services and decision-making management.It realizes the automated configuration,monitoring and early warning of various application systems and the release of operation and maintenance services,and deeply integrates operation and maintenance data,forming a professional data mining platform and the vision of visualized maintenance data.Through the data-driven model,the ship lock operation and maintenance management and service capabilities are further improved,and it provides a reference for the research of maintenance systems of other similar projects.