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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">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</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/jera.v10i6.15645</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>A Brief Analysis of the Development of the Wire and Cable Industry and Quality Test Technology in Shaanxi Province in the Age of Artificial Intelligence</title><url>https://artdesignp.com/journal/JERA/10/6/10.26689/jera.v10i6.15645</url><author>AnBeini</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>10</volume><issue>6</issue><history><date date-type="pub"><published-time>2026-07-23</published-time></date></history><abstract>As the “industrial blood vessel” of the national economy, wire and cable products underpin the safety of infrastructure and power systems. The rise of artificial intelligence (AI) is driving the transformation of cable quality testing from manual operation to intelligent mode. As a major energy base in China, Shaanxi Province has formed a distinctive cable industrial cluster, yet faces prominent problems such as low intelligent quality test level and insufficient high-end supply. This paper sorts out the development status of Shaanxi’s wire and cable industry, analyzes the bottlenecks of traditional quality test technology, and elaborates the enabling value of AI from four dimensions: defect identification, non-destructive testing, whole-process quality control, and intelligent supervision. On this basis, it summarizes the practical challenges of AI-industry integration, and proposes targeted development paths including building a provincial AI quality test service center, promoting industry-university-research collaboration, upgrading industrial clusters, formulating local standards and constructing an intelligent supervision system, so as to provide references for the high-quality development of Shaanxi’s cable industry.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Shaanxi Provincial People's Government, 2026, Outline of the 15th Five-Year Plan for National Economic and Social Development of Shaanxi Province. Shaanxi Daily, 2026-04-16(003).</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Wang W, 2025, Research on Application of Artificial Intelligence Technology in Cable Life Assessment. Electrical Technology &amp; Economy, 2025(6): 75–78.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Qu H, Lyu X, Xiao X, 2024, Research on Application of Machine Vision Technology in Wire and Cable Test. China Quality Supervision, 2024(8): 86–87.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Zhang F, 2025, Application of Rapid Test Technology in Wire and Cable Inspection. Engineering and Technical Research, 10(14): 110–112.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Meng F, Yang Q, Gao Y, et al., 2024, Research and Enlightenment on Construction Mode of Provincial Government Big Data Platform. Big Data, 10(3): 27–39.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Guo Z, 2026, Current Situation, Problems and Paths of Digital Transformation of Manufacturing Industry in Shaanxi Province. New West, 2026(4): 188–192.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
