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风电系统全生命周期可视化智能管理平台关键技术
引用本文:朱庆,曾浩炜,谢潇,张叶廷,蒋捷.风电系统全生命周期可视化智能管理平台关键技术[J].西南交通大学学报,2020,55(1):1-8.
作者姓名:朱庆  曾浩炜  谢潇  张叶廷  蒋捷
基金项目:国家自然科学基金(41471320,41701466)
摘    要:长期以来,风电场各部门都是分散建立管理系统,数据共享能力差,智能化自动化水平低,难以满足风电系统全空间全信息综合高效管理的需求. 针对该问题,在充分分析风电系统相关的场景数据、风电设施、以及各部门业务的关系特点的基础上,研究了风电系统全生命周期不同阶段不同类型的时空数据共享、多部门多业务协同、可视化智能管理关键技术,设计开发了基于三维GIS (geographic information system)的全生命周期风电系统可视化智能管理平台,包括实景数据管理、规划设计管理、动态施工监管和智慧运维管理等功能模块,贯穿风电系统工程全生命周期各个专业应用领域,为风电系统工程协同智能规划、建设和运维提供实时高效的决策支持,并以典型风电场为例进行了应用验证. 

关 键 词:风电系统    全生命周期    GIS    数据共享    协同优化    智能管理
收稿时间:2018-08-27

Key Technologies in Visualized Intelligent Management Platform for Life Cycle of Wind Power Systems
ZHU Qing,ZENG Haowei,XIE Xiao,ZHANG Yeting,JIANG Jie.Key Technologies in Visualized Intelligent Management Platform for Life Cycle of Wind Power Systems[J].Journal of Southwest Jiaotong University,2020,55(1):1-8.
Authors:ZHU Qing  ZENG Haowei  XIE Xiao  ZHANG Yeting  JIANG Jie
Abstract:For years, each sector in the wind farm life cycle has used separate management systems, which results poor data sharing and low levels of intelligent automation. It is difficult to achieve comprehensive and efficient management of whole space and full information in wind power systems. To deal with this problem, we analyzed the relationship and characteristics of geographic environments data, facilities, and all sector operations in wind power systems, study the key technologies of different types of spatio-temporal data sharing, multi-sector and multi-service collaboration, and visualized intelligent management in the life cycle of wind power systems. A visualized intelligent management platform based on the 3D GIS (geographic information system) technology was designed and developed. This platform includes functional modules such as real-world data management, planning and design management, dynamic construction supervision, and intelligent operation and maintenance management. It integrates various professional applications and runs through the life cycle in wind power system, and provides efficient decision support for the collaborative planning, construction, operation and maintenance of wind power systems. The platform is tested and verified by a typical wind farm. 
Keywords:
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