| 大数据环境下电力行业信息生态模型构建及应用研究 |
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| 引用本文： | 杨志豪,陈向民,张静,金明,周炳华.大数据环境下电力行业信息生态模型构建及应用研究[J].情报科学,2020,38(5):88-92. |
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| 作者姓名： | 杨志豪 陈向民 张静 金明 周炳华 |
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| 作者单位： | 国网浙江杭州余杭区供电公司,杭州市电力设计院有限公司余杭分公司,浙江杭州311000;国网浙江杭州余杭区供电公司,杭州市电力设计院有限公司余杭分公司,浙江杭州311000;国网浙江杭州余杭区供电公司,杭州市电力设计院有限公司余杭分公司,浙江杭州311000;国网浙江杭州余杭区供电公司,杭州市电力设计院有限公司余杭分公司,浙江杭州311000;国网浙江杭州余杭区供电公司,杭州市电力设计院有限公司余杭分公司,浙江杭州311000 |
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| 摘 要： | 【目的/意义】随着我国电力行业的快速发展,大数据技术在电力行业中的应用也得到了进一步提升,掌握大数据技术对于我国电力行业的建设具有十分重要意义。【方法/过程】本文首先阐述了电力行业大数据的含义和特征,然后构建了在大数据环境下基于信息生态理论的电力行业信息生态模型,最后在电力行业信息生态模型基础上构建了电力行业大数据应用框架模型。【结果/结论】为了解决电力行业中信息生态失衡的现象,避免电力行业在大数据应用过程中出现复杂性、无序性、不稳定性等问题。
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| 关 键 词： | 电力行业 大数据 信息生态模型 应用框架模型 |
Construction and Application of Information Ecology Model in Power Industryunder Big Data Environment |
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| YANG Zhi-hao,CHEN Xiang-min,ZHANG Jing,JIN Ming,ZHOU Bing-hua.Construction and Application of Information Ecology Model in Power Industryunder Big Data Environment[J].Information Science,2020,38(5):88-92. |
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| Authors: | YANG Zhi-hao CHEN Xiang-min ZHANG Jing JIN Ming ZHOU Bing-hua |
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| Affiliation: | (Yuhang District,State Grid Power Company,Hangzhou Electric Power Design Institute Co.,Ltd.,Hangzhou 311000,China) |
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| Abstract: | 【Purpose/significance】With the rapid development of the power industry in China,the application of big data technology in the power industry has also been further improved.It is of great significance to master the big data technology for the construction of the power industry in China.【Method/process】The paper first expounds the meaning and characteris tics of the big data of the power industry,and then constructs an information ecological model of the power industry based on the information ecology theory under the big data environment.Finally,the big data application framework model of the power industry is built on the basis of the information ecological model of the power industry.【Result/conclusion】In order to solve the imbalance of information ecology in the power industry,the problems of complexity,disorder and instability in the application of big data in the power industry are avoided. |
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| Keywords: | power industry big data information ecology model application framework model |
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