Multi-parameter Intelligent Monitoring System for Traction Walking Plate Based on Digital Twin Technology

Multi-parameter Intelligent Monitoring System for Traction Walking Plate Based on Digital Twin Technology | 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 Research Article Multi-parameter Intelligent Monitoring System for Traction Walking Plate Based on Digital Twin Technology Chi Zhang, Xiangbiao Leng, Xiaobin Li, Longbin Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6538597/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 In order to solve the problem of safety accidents, such as the overturning of the traction walking plate and the jumping of subconductors, during the construction process of transmission line tension framing, because the construction personnel cannot fully monitor the key state quantities of the traction walking plate, a multi-parameter intelligent monitoring system for the traction walking plate based on the digital twin technology is developed. In the selection of twin data, based on the analysis of the risk points of the traction walking plate, the subconductor tension, tilt angle and spatial position of the traction walking plate are selected as the twin data. For the mapping of the twin data, the grid information model (GIM) and building information model (BIM) are used as the basis to establish a refined engineering structure model, which accurately reflects the geometry and mechanical properties of the traction slab. Finally, the connection design of twin data, hardware design, equipment data layer design and twin service type are designed in 3 parts, and the improved isolated forest algorithm is adopted as the twin service layer of the monitoring system. The developed multi-parameter intelligent monitoring traction walking plate was successfully applied to a 220kV transmission line erection in China after passing the accuracy test, realizing the real-time monitoring of the key state quantities of the traction walking plate, and improving the efficiency of tension erection by 17.19%. Digital twin Transmission line Tension wire construction Traction walking plate Isolated forest algorithm 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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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-6538597","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":455347384,"identity":"08c67a36-98c4-45d1-8a42-3d2bf709e2b2","order_by":0,"name":"Chi Zhang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0klEQVRIiWNgGAWjYBACNvbmAwYfKiTq+YEM4rTw8RxLKJxxxiZBsudYAnFa5CRyDD7ztqUlGMzwMSDSYQwJhht42A7nGUjwfLzxhsFOTreBoJYDyUDVh4vNpXs3W85hSDY2O0BIC2PDMQMDicOMO+ec3SbNw3AgcRtBLcyM7T8SDA4zbriR84xILWzMDAYHEtISgVrYiNTCw8Zg2HDAxhgYyMaWcwyI8Iv8/PcfjP/+k5ADRuXDG28q7OQIakEBEjxERg2yFlJ1jIJRMApGwYgAACbhRBO0UWUhAAAAAElFTkSuQmCC","orcid":"","institution":"China Three Gorges University","correspondingAuthor":true,"prefix":"","firstName":"Chi","middleName":"","lastName":"Zhang","suffix":""},{"id":455347385,"identity":"9cde2acf-3f19-442f-a958-b00b65b531eb","order_by":1,"name":"Xiangbiao Leng","email":"","orcid":"","institution":"China Southern Power Grid Energy Development Research Institute Co., Ltd","correspondingAuthor":false,"prefix":"","firstName":"Xiangbiao","middleName":"","lastName":"Leng","suffix":""},{"id":455347386,"identity":"64c3f480-5251-40be-9fcb-9ac6bce60e86","order_by":2,"name":"Xiaobin Li","email":"","orcid":"","institution":"Jiangmen Power Supply Bureau of Guangdong Power Grid Co., Ltd","correspondingAuthor":false,"prefix":"","firstName":"Xiaobin","middleName":"","lastName":"Li","suffix":""},{"id":455347387,"identity":"48ab8443-18dd-4f5f-8873-d5a4f3938b90","order_by":3,"name":"Longbin Zhang","email":"","orcid":"","institution":"China Three Gorges University","correspondingAuthor":false,"prefix":"","firstName":"Longbin","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2025-04-27 07:08:09","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6538597/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6538597/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":87524509,"identity":"25be2176-0a36-425f-b1cc-7fa9350f5c20","added_by":"auto","created_at":"2025-07-24 19:01:26","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":777796,"visible":true,"origin":"","legend":"","description":"","filename":"MultiparameterIntelligentMonitoringSystemforTractionWalkingPlateBasedonDigitalTwinTechnology.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6538597/v1_covered_02805f95-5545-4627-995f-5089ed493941.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Multi-parameter Intelligent Monitoring System for Traction Walking Plate Based on Digital Twin Technology","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":"Digital twin, Transmission line, Tension wire construction, Traction walking plate, Isolated forest algorithm","lastPublishedDoi":"10.21203/rs.3.rs-6538597/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6538597/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn order to solve the problem of safety accidents, such as the overturning of the traction walking plate and the jumping of subconductors, during the construction process of transmission line tension framing, because the construction personnel cannot fully monitor the key state quantities of the traction walking plate, a multi-parameter intelligent monitoring system for the traction walking plate based on the digital twin technology is developed. In the selection of twin data, based on the analysis of the risk points of the traction walking plate, the subconductor tension, tilt angle and spatial position of the traction walking plate are selected as the twin data. For the mapping of the twin data, the grid information model (GIM) and building information model (BIM) are used as the basis to establish a refined engineering structure model, which accurately reflects the geometry and mechanical properties of the traction slab. Finally, the connection design of twin data, hardware design, equipment data layer design and twin service type are designed in 3 parts, and the improved isolated forest algorithm is adopted as the twin service layer of the monitoring system. 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