| 引用本文: | 陈国伟,刘景远,滕海刚,刘长树,吴兰旭.基于本体和云模型的电能质量信息状态监测平台[J].电力系统保护与控制,2015,43(18):55-61.[点击复制] |
| CHEN Guowei,LIU Jingyuan,TENG Haigang,LIU Changshu,WU Lanxu.Power quality information status monitoring platform based on ontology and cloud model[J].Power System Protection and Control,2015,43(18):55-61[点击复制] |
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| 摘要: |
| 提出了一种适用于智能电网的电能质量信息状态监测平台。将本体技术引入到该平台建设中，建立了电能质量信息状态监测领域的领域本体，借助该领域本体可以实现电能质量信息的快速检索。建立的电能质量信息状态监测检索引擎可以在领域本体的指导下从电能质量数据库中提取出符合条件的数据集合，再将定制处理后的检索结果返回给用户。平台引入了云模型技术，基于云模型完成对电能质量信息的诊断，以实现电能质量信息的状态诊断和实时监测。实例展示介绍了平台的操作界面和具体实现界面，可见该平台具有一定的工程实用价值。 |
| 关键词: 电能质量信息 状态监测 检索 本体 云模型 |
| DOI：10.7667/j.issn.1674-3415.2015.18.010 |
| 投稿时间：2014-11-25修订日期：2015-02-10 |
| 基金项目: |
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| Power quality information status monitoring platform based on ontology and cloud model |
| CHEN Guowei,LIU Jingyuan,TENG Haigang,LIU Changshu,WU Lanxu |
| (Electric Power Research Institue of Inner Mongolia Eastern Power Corporation, Hohhot 010000, China;China Titans Energy Technology Group Co., Ltd., Zhuhai 519015, China) |
| Abstract: |
| This paper puts forward a power quality information condition monitoring platform suitable for smart grid. It introduces the ontology technology into the construction of the platform and sets up domain ontology in the field of power quality condition monitoring. With the aid of the domain ontology, it can realize fast power quality information retrieval. The power quality information condition monitoring retrieval engine established under the guidance of domain ontology can extract eligible data set from the power quality database, and then return the result to the user. The platform introduces the technology of cloud model to complete the diagnosis of power quality information, in order to realize condition diagnosis and real-time monitoring of power quality information based on cloud model. Examples exhibition introduces the operation interface of the platform and implementation interface, and it can be found the platform has a certain engineering practicability. |
| Key words: power quality information condition monitoring retrieval ontology cloud model |
