摘要
云计算、物联网、社交网络等新兴服务模式的产生与发展,使得数据转变为一种基础资源,面向数据管理和取用的信息检索技术的重要性不断提高。结合调度管理业务的典型搜索需求,文中将信息服务模式的技术特征应用于调度管理领域,提出一种面向大电网多级调度管理一体化的融合型搜索引擎设计方法。该方法通过对不同类型数据的搜索集成,实现了分布式环境下的异构数据资源整合。针对所述算法进行了实验仿真和原型验证,对搜索算法进行了可行性评估和应用展望。
Data has become the fundamental resource along with the emergence of new services such as cloud computing, internet of things and social network.The information retrieval is becoming more and more important with the rapid data growth.By referring to the typical search demand of scheduling management business,the technical characteristics of the information service mode are applied to the scheduling management and a design method for a uniform fusion-type search engine oriented to the integration of large power grid multilevel scheduling management is proposed.Through the retrieval of both unstructured and structural data,the integration of the heterogeneity data resources is achieved in the distributed environment. By experimental simulation and prototype system verification,the feasibility is evaluated and application projected.
出处
《电力系统自动化》
EI
CSCD
北大核心
2014年第3期150-154,共5页
Automation of Electric Power Systems
基金
国家电网公司科技项目"电网调控一体化关键技术研究"~~
关键词
智能电网
调度管理
图搜索
非结构化搜索
云计算
大数据
smart grid
scheduling management
graph searching
unstructured data searching
cloud computing
big data
