Architecture and modular design of power emergency command system based on association rule algorithm.

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Title: Architecture and modular design of power emergency command system based on association rule algorithm.
Authors: Wang, Qian1 (AUTHOR) zhaoji37814@163.com, Liu, Mingming1 (AUTHOR)
Source: RAIRO: Operations Research (2804-7303). 2023, Vol. 57 Issue 3, p1087-1096. 10p.
Subjects: OLAP technology, Architectural design, Modular design, Electric power, Online algorithms
Abstract: In order to effectively obtain the electric power emergency command plan and reasonably dispatch emergency resources, the electric power emergency command system architecture based on association rule algorithm is designed according to the modularization idea. In the hardware part, the sensing layer is used to collect operation data, and the service layer is used to analyze and mine the data. The tool layer establishes the basic component library and the power industry component library. The network layer transmits relevant information to the application layer. The application layer realizes the three-dimensional simulation and visual operation of power emergency command such as resource scheduling and fault repair by calling the tool set. In the software part, the association rule algorithm combined with online analytical processing technology is used to mine the effective data in the collected data set to realize the analysis and processing of emergency command related work. Experiments show that the system can effectively command the output of the generator and obtain higher transmission margin when the fault occurs. And reasonably and evenly dispatch emergency resources to avoid resource waste. [ABSTRACT FROM AUTHOR]
Copyright of RAIRO: Operations Research (2804-7303) is the property of EDP Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
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PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Architecture and modular design of power emergency command system based on association rule algorithm.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Qian%22">Wang, Qian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhaoji37814@163.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Mingming%22">Liu, Mingming</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22RAIRO%3A+Operations+Research+%282804-7303%29%22">RAIRO: Operations Research (2804-7303)</searchLink>. 2023, Vol. 57 Issue 3, p1087-1096. 10p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22OLAP+technology%22">OLAP technology</searchLink><br /><searchLink fieldCode="DE" term="%22Architectural+design%22">Architectural design</searchLink><br /><searchLink fieldCode="DE" term="%22Modular+design%22">Modular design</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power%22">Electric power</searchLink><br /><searchLink fieldCode="DE" term="%22Online+algorithms%22">Online algorithms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In order to effectively obtain the electric power emergency command plan and reasonably dispatch emergency resources, the electric power emergency command system architecture based on association rule algorithm is designed according to the modularization idea. In the hardware part, the sensing layer is used to collect operation data, and the service layer is used to analyze and mine the data. The tool layer establishes the basic component library and the power industry component library. The network layer transmits relevant information to the application layer. The application layer realizes the three-dimensional simulation and visual operation of power emergency command such as resource scheduling and fault repair by calling the tool set. In the software part, the association rule algorithm combined with online analytical processing technology is used to mine the effective data in the collected data set to realize the analysis and processing of emergency command related work. Experiments show that the system can effectively command the output of the generator and obtain higher transmission margin when the fault occurs. And reasonably and evenly dispatch emergency resources to avoid resource waste. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of RAIRO: Operations Research (2804-7303) is the property of EDP Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1051/ro/2023031
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 1087
    Subjects:
      – SubjectFull: OLAP technology
        Type: general
      – SubjectFull: Architectural design
        Type: general
      – SubjectFull: Modular design
        Type: general
      – SubjectFull: Electric power
        Type: general
      – SubjectFull: Online algorithms
        Type: general
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      – TitleFull: Architecture and modular design of power emergency command system based on association rule algorithm.
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            NameFull: Wang, Qian
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            NameFull: Liu, Mingming
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            – D: 01
              M: 05
              Text: 2023
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              Y: 2023
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              Value: 57
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            – TitleFull: RAIRO: Operations Research (2804-7303)
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