Optimized smoke detector layout design approach for battery energy storage system containers based on black-winged kite algorithm.

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Title: Optimized smoke detector layout design approach for battery energy storage system containers based on black-winged kite algorithm.
Authors: Li, Yan1,2 (AUTHOR) yan.li@ncepu.edu.cn, Lan, Lingyuan1,3 (AUTHOR), Zhang, Tianshuo1 (AUTHOR), Jia, Yiqing1 (AUTHOR), Zhang, Yixiao4 (AUTHOR), Shan, Yu1 (AUTHOR), Zhang, Kun5 (AUTHOR), Xie, Jun1 (AUTHOR)
Source: Journal of Loss Prevention in the Process Industries. Apr2026, Vol. 100, pN.PAG-N.PAG. 1p.
Database: Business Source Ultimate
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  Availability: 0
Header DbId: bsu
DbLabel: Business Source Ultimate
An: 191321908
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Optimized smoke detector layout design approach for battery energy storage system containers based on black-winged kite algorithm.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Loss+Prevention+in+the+Process+Industries%22">Journal of Loss Prevention in the Process Industries</searchLink>. Apr2026, Vol. 100, pN.PAG-N.PAG. 1p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=191321908
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.jlp.2025.105879
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Optimized smoke detector layout design approach for battery energy storage system containers based on black-winged kite algorithm.
        Type: main
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          Name:
            NameFull: Li, Yan
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          Name:
            NameFull: Lan, Lingyuan
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            NameFull: Zhang, Tianshuo
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            NameFull: Jia, Yiqing
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            NameFull: Zhang, Yixiao
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            NameFull: Shan, Yu
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            NameFull: Zhang, Kun
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            NameFull: Xie, Jun
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          Dates:
            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 09504230
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            – Type: volume
              Value: 100
          Titles:
            – TitleFull: Journal of Loss Prevention in the Process Industries
              Type: main
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