{"id":6525,"date":"2025-09-19T08:50:58","date_gmt":"2025-09-19T08:50:58","guid":{"rendered":"https:\/\/www.leadintelligent.com\/en\/?p=6525"},"modified":"2025-10-29T02:56:53","modified_gmt":"2025-10-29T02:56:53","slug":"good-news-lead-wins-second-prize-in-ai-track-at-the-2025-brics-industrial-innovation-competition","status":"publish","type":"post","link":"https:\/\/www.leadintelligent.com\/en\/good-news-lead-wins-second-prize-in-ai-track-at-the-2025-brics-industrial-innovation-competition\/","title":{"rendered":"Good News: LEAD Wins Second Prize in AI Track at the 2025 BRICS Industrial Innovation Competition"},"content":{"rendered":"<p><span data-font-family=\"default\">On September 16, the award ceremony of the 2025 BRICS Industrial Innovation Competition was grandly held during the opening of the BRICS Forum on Partnership on the New Industrial Revolution in Xiamen.<\/span> <span data-font-family=\"default\">Lead Intelligent Equipment (hereafter referred to as LEAD) developed the AI Predictive Maintenance System Based on a Multimodal Large Model, which stood out from 1,396 global entries to win second prize in the Artificial Intelligence track of the competition.<\/span><\/p>\n<p><span data-font-family=\"default\">Jointly organized by the BRICS Partnership on the New Industrial Revolution Innovation Base and China\u2019s Ministry of Industry and Information Technology, this year\u2019s competition featured five key tracks\u2014Artificial Intelligence, Green Industry, Low-Altitude Equipment, Energy Electronics, and Industrial Design\u2014attracting top-tier projects from BRICS and partner countries. After multiple rounds of rigorous evaluation and on-site defense, LEAD\u2019s project distinguished itself in technological advancement, practical application, and industrial scalability, earning the honor as the only Chinese lithium<\/span><span data-font-family=\"default\">&#8211;<\/span><span data-font-family=\"default\">i<\/span><span data-font-family=\"default\">o<\/span><span data-font-family=\"default\">n<\/span><span data-font-family=\"default\"> battery equipment company recognized in the AI track.<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_67_1 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.leadintelligent.com\/en\/good-news-lead-wins-second-prize-in-ai-track-at-the-2025-brics-industrial-innovation-competition\/#Tackling_the_Manufacturing_Challenges_of_the_TWh_Era_with_AI\" title=\"Tackling the Manufacturing Challenges of the TWh Era with AI\">Tackling the Manufacturing Challenges of the TWh Era with AI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.leadintelligent.com\/en\/good-news-lead-wins-second-prize-in-ai-track-at-the-2025-brics-industrial-innovation-competition\/#Three_Core_Breakthroughs_Shaping_a_New_Era_of_Industrial_Intelligence\" title=\"Three Core Breakthroughs Shaping a New Era of Industrial Intelligence\">Three Core Breakthroughs Shaping a New Era of Industrial Intelligence<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Tackling_the_Manufacturing_Challenges_of_the_TWh_Era_with_AI\"><\/span><span data-font-family=\"default\">Tackling the Manufacturing Challenges of the TWh Era with AI<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span data-font-family=\"default\">The global lithium<\/span><span data-font-family=\"default\">&#8211;<\/span><span data-font-family=\"default\">i<\/span><span data-font-family=\"default\">o<\/span><span data-font-family=\"default\">n<\/span><span data-font-family=\"default\"> battery industry is rapidly advancing toward the TWh-scale manufacturing era. In this phase, the battery production process\u2014at the heart of the industry chain\u2014is characterized by high speed, precision, and continuity, where even minor equipment anomalies can trigger chain reactions, resulting in significant economic losses and safety risks. Traditional maintenance models such as post-failure repair or scheduled maintenance can no longer meet the demands of large-scale intelligent manufacturing.<\/span><\/p>\n<p><span data-font-family=\"default\">LEAD\u2019s award-winning system directly addresses these challenges. Built on a self-developed multimodal industrial predictive maintenance large model, it establishes an intelligent operations and maintenance (O&M) system with a closed-loop capability of prediction\u2013diagnosis\u2013decision-making. By deeply integrating time-series equipment data, visual imagery, and textual logs, and leveraging proprietary spatiotemporal feature alignment and cross-modal attention mechanisms, the system extends the early-warning window to 7\u201315 days before a potential failure, improving fault prediction accuracy by over 25% compared with traditional approaches.<\/span><\/p>\n<p><span data-font-family=\"default\">Currently, the system has been deployed on hundreds of high-speed winding and stacking machines across the lithium<\/span><span data-font-family=\"default\">&#8211;<\/span><span data-font-family=\"default\">i<\/span><span data-font-family=\"default\">o<\/span><span data-font-family=\"default\">n<\/span><span data-font-family=\"default\"> battery manufacturing sector. At one leading battery producer, the system continuously monitors over 2,000 key components, helping reduce failure frequency by 35% and total downtime by 30%, generating annual direct economic benefits exceeding RMB 10 million per customer.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Three_Core_Breakthroughs_Shaping_a_New_Era_of_Industrial_Intelligence\"><\/span><span data-font-family=\"default\">Three Core Breakthroughs Shaping a New Era of Industrial Intelligence<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span data-font-family=\"default\">The success of LEAD in standing out among global competitors lies in three key technological breakthroughs:<\/span><\/p>\n<ul>\n<li><span data-font-family=\"default\"> Deep integration of physical mechanisms and AI<\/span><\/li>\n<\/ul>\n<p><span data-font-family=\"default\"> By embedding physical models\u2014such as motor thermodynamics and bearing dynamics\u2014into the AI training process, the system achieves interpretable and trustworthy fault diagnosis, addressing the long-standing industry concern over the \u201cblack-box\u201d nature of AI decision-making.<\/span><\/p>\n<ul>\n<li><span data-font-family=\"default\"> Digital twin modeling of core universal components<\/span><\/li>\n<\/ul>\n<p><span data-font-family=\"default\"> Focusing on the most widely used industrial power components, LEAD has developed high-precision, standardized digital twin models that enable \u201cdevelop once, apply across industries,\u201d significantly reducing deployment costs and timelines.<\/span><\/p>\n<ul>\n<li><span data-font-family=\"default\"> A closed loop of prediction, diagnosis, and decision-making<\/span><\/li>\n<\/ul>\n<p><span data-font-family=\"default\"> Beyond issuing early warnings, the system automatically generates maintenance SOPs and spare-part recommendations. Through continuous learning, it builds an evolving knowledge base for enterprises\u2014creating a \u201cdigital expert team\u201d that never loses its expertise.<\/span><\/p>\n<p><span data-font-family=\"default\">As a global leader in intelligent manufacturing solutions for the new energy sector, LEAD continues to demonstrate not only technological innovation but also strong market traction and industry synergy. With its proven return on investment and scalable business model, the system has been recognized by several leading global battery manufacturers. LEAD has signed strategic cooperation agreements with key industry players, with the initial phase covering three core production lines and more than 150 critical devices.<\/span><\/p>\n<p><span data-font-family=\"default\">Looking ahead, LEAD views this award as a new starting point to accelerate technological advancement and global expansion. The company plans to work with local partners to build benchmark projects for digital transformation worldwide.<\/span><\/p>\n<p><span data-font-family=\"default\">\u201cAI and digital twins are redefining the future of manufacturing,\u201d said Wang Yanqing, Chairman of LEAD Group. \u201cThe true factory of the future is not merely an assembly of automated systems, but an intelligent ecosystem capable of self-learning and optimization. Going forward, LEAD will continue to deepen the integration of artificial intelligence and high-end equipment, helping BRICS nations build a more inclusive, green, and sustainable industrial landscape.\u201d<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>On September 16, the award ceremony of the 2025 BRICS Industrial Innovation Competition was grandly held during the opening of the BRICS Forum on Partnership on the New Industrial Revolution in Xiamen. Lead Intelligent Equipment (hereafter referred to as LEAD) developed the AI Predictive Maintenance System Based on a Multimodal Large Model, which stood out&#8230;<\/p>\n","protected":false},"author":15,"featured_media":6526,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[151,1],"tags":[172,171],"class_list":["post-6525","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-news","category-news","tag-lead-intelligent","tag-lead-intelligent-equipment"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Good News: LEAD Wins Second Prize in AI Track at the 2025 BRICS Industrial Innovation Competition<\/title>\n<meta name=\"description\" content=\"On September 16, the award ceremony of the 2025 BRICS Industrial Innovation Competition was grandly held during the opening of the BRICS Forum on Partnership on the New Industrial Revolution in Xiamen. 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