Research on VR/AR/MR Digital Technologies and Narratives of the Jinshanling Great Wall

Research on VR/AR/MR Digital Technologies and Narratives of the Jinshanling Great Wall | 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 Research on VR/AR/MR Digital Technologies and Narratives of the Jinshanling Great Wall Shulan Wang, Wenbo Ye, Ziying Wang, Siyu Liu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8527582/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 11 You are reading this latest preprint version Abstract This study proposes an end-to-end replicable digital preservation solution for the Jinshanling Great Wall (Luanping County, Chengde City, Hebei Province), covering the full lifecycle from production to implementation. Rooted in the "technology-culture-education" philosophy, a comprehensive Extended Reality (XR) system was developed by integrating Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) with ancient architectural cultural heritage tourism and preservation. Through multi-round iterative optimization, the system achieved 5mm precision and a model face count exceeding 50,000. Core technological innovations include: a customized Effective Field of View (EFOV) method for VR panoramic stitching, an optimized point cloud precision formula for AR reconstruction, and a Simultaneous Localization and Mapping (SLAM)-based MR framework enabling bidirectional virtual-real interaction. A near-comprehensive heritage database and full-process (site selection-analysis-implementation) XR preservation solution were finalized. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 07 Mar, 2026 Reviews received at journal 03 Mar, 2026 Reviews received at journal 16 Feb, 2026 Reviews received at journal 12 Feb, 2026 Reviewers agreed at journal 11 Feb, 2026 Reviewers agreed at journal 10 Feb, 2026 Reviewers agreed at journal 09 Feb, 2026 Reviewers invited by journal 09 Feb, 2026 Editor assigned by journal 08 Feb, 2026 Submission checks completed at journal 08 Jan, 2026 First submitted to journal 08 Jan, 2026 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-8527582","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":590083164,"identity":"c7ce0951-372f-4fc2-abd2-f640cb0d6200","order_by":0,"name":"Shulan Wang","email":"","orcid":"","institution":"Hebei University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Shulan","middleName":"","lastName":"Wang","suffix":""},{"id":590083165,"identity":"5f78c22b-dee0-486b-8b92-dbe91fccc31a","order_by":1,"name":"Wenbo Ye","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA20lEQVRIiWNgGAWjYHACNhAhx8bMfvBBQkUN8VqM+dl7kg0enDlGvJbEmT0HzCQftjATVm9wvPfYg49tNowbbiSkVSQ2sDHwt3cn4Ndy5ly64cy2NGaDG4nHbiTukGGQOHN2A14tZjdyzKR52w6zGQBtuZF4ho3BQCKXgJb7b0Ba/vMAtZgVJLYxE6HlBg9IywEJSaD3GYjSYn8mx9xwxrlkA1AgSyScOcZD0C+S7WfMHnwos6tvA0blxx8VNXL87b34tYABIxuCzUNYORj8IVLdKBgFo2AUjEwAAErfTDmWm1S2AAAAAElFTkSuQmCC","orcid":"","institution":"Hebei University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Wenbo","middleName":"","lastName":"Ye","suffix":""},{"id":590083166,"identity":"502817c1-c14a-413f-b989-14df6734ecc0","order_by":2,"name":"Ziying Wang","email":"","orcid":"","institution":"Hebei University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Ziying","middleName":"","lastName":"Wang","suffix":""},{"id":590083167,"identity":"dcf6a7fc-30a3-4140-a289-c63b0bc94777","order_by":3,"name":"Siyu Liu","email":"","orcid":"","institution":"Hebei University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Siyu","middleName":"","lastName":"Liu","suffix":""}],"badges":[],"createdAt":"2026-01-06 06:53:42","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8527582/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8527582/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":102747232,"identity":"e8106b9d-3890-4cbc-8764-c4d596eeecd7","added_by":"auto","created_at":"2026-02-16 09:04:14","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3057757,"visible":true,"origin":"","legend":"","description":"","filename":"ResearchonVRARMRDigitalTechnologiesandNarrativesoftheJinshanlingGreatWall.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8527582/v1_covered_7b420958-2d47-49d1-9945-61e3a84c426b.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on VR/AR/MR Digital Technologies and Narratives of the Jinshanling Great Wall","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"npj-heritage-science","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"hsci","sideBox":"Learn more about [Heritage Science](http://heritagesciencejournal.springeropen.com)","snPcode":"40494","submissionUrl":"https://submission.nature.com/new-submission/40494/3","title":"npj Heritage Science","twitterHandle":"@SpringerOpen","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-8527582/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8527582/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study proposes an end-to-end replicable digital preservation solution for the Jinshanling Great Wall (Luanping County, Chengde City, Hebei Province), covering the full lifecycle from production to implementation. 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