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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SSR</journal-id><journal-title-group><journal-title>Scientific and Social Research</journal-title></journal-title-group><issn>2661-4332</issn><eissn>2981-9946</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ssr.v8i5.15132</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on an Adaptive Intelligent Compensation System of Anchor Cable Based on AI and Multimodal Perception</title><url>https://artdesignp.com/journal/SSR/8/5/10.26689/ssr.v8i5.15132</url><author>ChengFuling,WuQun,HouGuangzhen,DingZhenzhou</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>8</volume><issue>5</issue><history><date date-type="pub"><published-time>2026-06-05</published-time></date></history><abstract>In order to ensure the anchoring effect of anchor cable in foundation pit and slope projects, and ensure the stability and safety of the project, this paper studies the design and implementation of an adaptive intelligent compensation system of anchor cable based on multimodal perception, relying on artificial intelligence (AI). This paper first discusses the design of multi-modal perception fusion monitoring, AI intelligent decision-making, loss prediction, IOT remote monitoring platform, adaptive closed-loop control, and so on. This paper analyzes the hardware system, AI model algorithm, IOT cloud platform, and app, system integration, and closed-loop control. The authors hope that this paper can provide a scientific reference for the subsequent application and optimization of the system.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Tao ZG, Xu C, Li Y, et al., 2025, Research on Compensation Control of Deep Buried High Stress Tunnel Excavation in Soft Rock with Large Deformation. 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