Automatic detection of the height of poured concrete via fiber-optic temperature sensing

Automatic detection of the height of poured concrete via fiber-optic temperature sensing | 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 Automatic detection of the height of poured concrete via fiber-optic temperature sensing HAO LI, HUADONG YANG, HAO ZHU, ZHIANG LIU This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3925978/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 the process of bridge foundation construction, the height of poured concrete cannot be measured automatically, which depends on manual operation and construction interruption. This paper proposes an automatic detection technology of the height of poured concrete via fiber-optic temperature sensing, which use the small temperature difference between concrete and air medium in the process of concrete pouring. The median filtering method is used to process the temperature position curve to obtain a signal curve similar to a step signal. The step functions with different periods are constructed, and the correlation coefficient curve is obtained by cross-correlation operation between the obtained temperature curve and the step functions with different periods. The variable step size search method is used to improve computational efficiency. Finally, the correlation coefficient curve is processed by peak seeking to realize the automatic discrimination of concrete level elevation. This technology has been successfully applied to the diaphragm wall project of Zhang-Jing-Gao Yangtze River Bridge. Limited by the spatial resolution of the temperature measurement system, the resolution of the liquid level elevation is ± 0.5m, and the automatic judgment of the liquid level elevation is consistent with the actual measurement results judged by the temperature nephogram, indicating that the algorithm has good accuracy, and the results of 30 operations at the same time are consistent, indicating that the algorithm has good stability. 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-3925978","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":271145417,"identity":"4e8ed5ee-df9c-4799-8bbf-1e0c11f7f1be","order_by":0,"name":"HAO LI","email":"","orcid":"","institution":"CCCC Second Harbor Engineering Co. 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This paper proposes an automatic detection technology of the height of poured concrete via fiber-optic temperature sensing, which use the small temperature difference between concrete and air medium in the process of concrete pouring. The median filtering method is used to process the temperature position curve to obtain a signal curve similar to a step signal. The step functions with different periods are constructed, and the correlation coefficient curve is obtained by cross-correlation operation between the obtained temperature curve and the step functions with different periods. The variable step size search method is used to improve computational efficiency. Finally, the correlation coefficient curve is processed by peak seeking to realize the automatic discrimination of concrete level elevation. This technology has been successfully applied to the diaphragm wall project of Zhang-Jing-Gao Yangtze River Bridge. 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