Mountain fire identification model of transmission line based on improved YOLOv8

Mountain fire identification model of transmission line based on improved YOLOv8 | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Mountain fire identification model of transmission line based on improved YOLOv8 Yangyi Ou, Huayu Zhang, Xinyu Pi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7117684/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This paper proposes and improves a YOLOv8-based mountain fire detection method for transmission line. First, field pictures of line fire events were collected to build data sets. Secondly, the introduction of LSKNet replacing the original path aggregation network enables the model to adaptively select and adjust the size of convolution kernels according to the features of different targets, more accurately match the requirements of target features and background information at different scales, and significantly improve the robustness of defect identification in complex scenarios. Physical sciences/Engineering Physical sciences/Mathematics and computing YOLOv8 Mountain fire identification Attention mechanism SPPF-LSKA module GhostConv Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7117684","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":498182585,"identity":"b3126ec8-a7fd-4b88-8bf1-691b0c988a74","order_by":0,"name":"Yangyi Ou","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6klEQVRIiWNgGAWjYBCDBH5m5uMfPhjY2BGvRbK9LY1xRkFaMvFaDM6cMWPm+XCIsYGQUnP2swcfV/w5nMdwI8HssY3BAWYG9sNHN+DTYtmTl2x4tu1wMeOMhHTjHIM7fAw8aWk38GkxOJBjJtnYcDixWSLhgHSOwTNmBgkeM/xazr8x/9nw53Bim0Rig7SFwWHGBoJabuSYMTawHU7s4TnMJs1AjBbLGe+SJRvb0osl2NuYDXsM0pLZCPnFnD/34MeGP9Z59of5Pz748cfGjp/98DH8DmPgQRNhw6ccu5ZRMApGwSgYBegAAHDGT1f1eDymAAAAAElFTkSuQmCC","orcid":"","institution":"National Key Laboratory for Disaster Prevention and Mitigation of the Power Grid (Disaster Prevention and Mitigation Center of State Grid Hunan Electric Power Company)","correspondingAuthor":true,"prefix":"","firstName":"Yangyi","middleName":"","lastName":"Ou","suffix":""},{"id":498182586,"identity":"250c3c6a-fd53-4e98-ac20-0ce965c32e99","order_by":1,"name":"Huayu Zhang","email":"","orcid":"","institution":"National Key Laboratory for Disaster Prevention and Mitigation of the Power Grid (Disaster Prevention and Mitigation Center of State Grid Hunan Electric Power Company)","correspondingAuthor":false,"prefix":"","firstName":"Huayu","middleName":"","lastName":"Zhang","suffix":""},{"id":498182587,"identity":"4bfeefa5-e388-4ffb-bae2-b6d464de9a07","order_by":2,"name":"Xinyu Pi","email":"","orcid":"","institution":"National Key Laboratory for Disaster Prevention and Mitigation of the Power Grid (Disaster Prevention and Mitigation Center of State Grid Hunan Electric Power Company)","correspondingAuthor":false,"prefix":"","firstName":"Xinyu","middleName":"","lastName":"Pi","suffix":""}],"badges":[],"createdAt":"2025-07-14 06:38:43","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7117684/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7117684/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":106652968,"identity":"8e7060f1-8706-42e0-9057-fd62b9078adb","added_by":"auto","created_at":"2026-04-11 01:09:00","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":715957,"visible":true,"origin":"","legend":"","description":"","filename":"MountainfireidentificationmodeloftransmissionlinebasedonimprovedYOLOv8.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7117684/v1_covered_6f9ef615-c733-48d9-98d6-f8655066cc59.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Mountain fire identification model of transmission line based on improved YOLOv8","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"YOLOv8, Mountain fire identification, Attention mechanism, SPPF-LSKA module, GhostConv","lastPublishedDoi":"10.21203/rs.3.rs-7117684/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7117684/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis paper proposes and improves a YOLOv8-based mountain fire detection method for transmission line. 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