项目名称: 输变电工程广域全态电磁环境信息时空建模与可视化研究
项目编号: No.61471171
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 无线电电子学、电信技术
项目作者: 李薇
作者单位: 华北电力大学
项目金额: 80万元
中文摘要: 由于输变电工程时空跨度大、环境影响敏感目标属性复杂、电磁环境影响因素繁多、电磁环境监测数据繁冗以及现行电磁环境预测模型自反馈性缺失的因素,导致电磁环境监测、预测与管理的一系列问题,严重影响输变电工程的科学规划和建设。本研究将通过开展电磁环境监测多源信息综合诊断与融合技术研究、电磁环境动态预测模型构建与可视化平台建立,实现输变电工程电磁环境监测多维数据的集成、预处理与融合,解决电磁环境监测数据与预测模型的动态耦合及反馈表达问题,并构建电磁环境多维可视化展示平台。最终为输变电工程电磁环境监测过程中数据繁冗、电磁预测模型僵硬、电磁监测与预测结果不能直观展示等问题提供解决方案,为输变电工程建设及运行过程中电磁环境管理提供技术支持。
中文关键词: 输变电工程;电磁环境信息处理;多源信息融合;多维动态预测反馈表达;电磁环境可视化
英文摘要: Due to the large span of time and space in electromagnetic environment monitoring, the sensitive properties of environmental impact target, the complexity of electromagnetic environmental influence factors, and the lack of self feedback ability in electromagnetic environment prediction model, this will lead to a series of questions about electromagnetic environment monitoring, prediction and management,seriously affecting power transmission project constructing smoothly.Therefore this research will be based on the electromagnetic environment comprehensive diagnosis and monitoring of multi-source information fusion technology research, electromagnetic environment dynamic prediction model building and visualization platform, to realize the integration, preprocessing and the fusion of electromagnetic environment monitoring multidimensional data in the power transmission and transformation engineering,solve the dynamic coupling problem of the electromagnetic environment monitoring data and the prediction model, and carried on the electromagnetic environment to multidimensional visual display. Ultimately this study would provide a foundation support to solve the problem of the complex of data in the process of electromagnetic environment monitoring and insufficient of visual in electromagnetic monitoring and forecasting so that we provide technical support for the process of contruction and operation of the power transmission electromagnetic environment management.
英文关键词: Power transmission project;Electromagnetic environmental information processing;Multi-source information fusion;Multidimensional dynamic expression prediction feedback;Electromagnetic environmental Visualization