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让工厂会“思考”,中兴通讯“数字矩阵”一年省下1.4亿元
Chang Sha Wan Bao· 2025-12-19 11:21
Core Viewpoint - ZTE Corporation has developed a "Digital Matrix" to transform vast amounts of data into a core production factor, enabling the manufacturing industry to shift from experience-driven to data-driven operations, which has been recognized at a national level with an award in the industrial manufacturing category [1][3]. Group 1: Digital Matrix Implementation - The "Digital Matrix" integrates a trustworthy data space and the iMES intelligent manufacturing platform, creating a closed-loop system covering the entire lifecycle of data from collection to application [3]. - This system has connected over 6,500 industry partners and facilitated the compliant circulation of more than 1,400 high-value data assets, effectively breaking down information silos [3]. Group 2: Intelligent Manufacturing Capabilities - By combining the "Digital Matrix" with 5G and AI, ZTE has developed industrial intelligent agents capable of self-perception, decision-making, execution, optimization, and learning, significantly enhancing production scheduling efficiency [4]. - The production cycle has been reduced from days to hours, and the efficiency of generating technical documents has improved tenfold, freeing engineers from tedious documentation tasks [4][5]. Group 3: Efficiency and Cost Savings - The implementation of this intelligent system has resulted in annual manufacturing cost savings exceeding 140 million yuan, an 80% reduction in production cycles, a 95% improvement in output quality, and an 80% decrease in quality inspection errors [7]. - The system has also optimized warehouse operations, reducing picking paths by 45% and significantly decreasing the workload of warehouse staff [5][7]. Group 4: Broader Impact and Recognition - This innovative model has been successfully replicated across ZTE's five major production bases and is seen as a benchmark for empowering the digital transformation of the manufacturing industry [7]. - The initiative contributes to the construction of a significant advanced manufacturing hub in Changsha and offers a comprehensive value transformation paradigm for the digitalization of manufacturing across the country [7].
21个一等奖!长沙“数据战队”领跑“数据要素×”大赛湖南分赛
Chang Sha Wan Bao· 2025-09-24 08:54
Core Insights - The "Data Element ×" competition in Hunan concluded successfully, with 137 awarded projects, including 28 first prizes representing Hunan in the national finals, showcasing the city's strong performance in the data element market reform [1][2] Group 1: Competition Overview - The competition featured 14 tracks, with Changsha winning 64 awards, including 21 first prizes, demonstrating its leadership in the province [1] - The event served as a platform for showcasing innovative applications of data elements across various industries, enhancing the visibility of data-driven projects [4] Group 2: Data Element Applications - In the biomedicine track, a project by Douzheng Biomedicine reduced clinical research time by 31.14%, addressing the challenges of long timelines and high costs in drug development [2] - In the smart manufacturing track, a project by ZTE Corporation achieved a 13.1% reduction in standard costs and saved over 10 million yuan annually through data-driven capabilities [2] - In the cultural tourism track, Hunan Happy Sunshine Interactive Entertainment's project is expected to generate annual revenues between 10 million to 17 million yuan from data circulation and 10 million to 55 million yuan from intelligent services [3] - In the modern agriculture track, a collaborative project has served over 52 million users and facilitated transactions worth 54 billion yuan, significantly enhancing agricultural productivity through data intelligence [3] Group 3: Future Directions - The competition is seen as a catalyst for further market-oriented reforms in data elements, with plans to open high-value datasets and foster innovative applications across various sectors [4][5] - Changsha aims to leverage its strengths in audio-visual, cultural tourism, and healthcare industries to create high-quality datasets and promote the application of large model technologies [5]