走访企业一线，扎实调查研究 人工智能作为引领未来的前瞻性、战略性技术，已经成为新一轮科技革命和产业变革的核心驱动力 量。"如何加快塑造产业新优势、培育发展新动能，更好地推动人工智能赋能千行百业？"带着问题，调 研组走访多家企业，深入了解人工智能在科技创新和产业发展中的经验做法。 今年的《政府工作报告》提出，持续推进"人工智能+"行动，将数字技术与制造优势、市场优势更好结 合起来，支持大模型广泛应用。 受中共中央委托，农工党中央近期围绕"推进'人工智能+'行动 加快制造业数字化转型"开展2025年度重 点考察调研。农工党中央主席何维率调研组前往上海、江苏进行实地考察。 在中国远洋海运集团有限公司，调研组详细了解人工智能在国际航运、港口运营、物流服务等方面的具 体情况。"'智能航线'产品为客户带去全方位、一体化的航线智能管理服务，优化船队运营，提高航线 效率。"听到企业负责人的介绍，调研组表示肯定，并进一步询问人工智能在路线规划和货物跟踪等方 面的细节。 调研组建议，构建多层次人才培养体系，开展人工智能与制造业相关交叉人才培养，培养既懂行业知识 又掌握数字技术的复合型人才。支持企业与高校、科研院所和职业院校密切合 ...

6月17日，江西省统计局、国家统计局江西调查总队联合发布的1至5月全省经济运行数据显示：我省工 业生产较快增长、投资动能持续增强、市场销售平稳增长，全省经济运行保持平稳。其中，全省规模以 上工业增加值同比增长8.4%，高于全国平均水平2.1个百分点。 今年以来，我省深入推进"1269"行动计划，持续提升产业整体竞争力，工业对稳增长的支撑作用更加凸 显。1至5月，全省38个规模以上工业大类行业中，26个行业增加值同比实现增长。其中，汽车制造业， 计算机、通信和其他电子设备制造业，有色金属冶炼和压延加工业均实现两位数增长。新质生产力加快 培育，全省装备制造业增加值、高技术制造业增加值同比分别增长13.6%、14.3%。企业效益保持高速 增长，1至4月，全省规模以上工业企业实现营业收入13351.2亿元、同比增长6.8%，实现利润总额515.6 亿元、同比增长13.2%。 我省积极对接落实各项存量政策和增量政策，大力引进一批大项目好项目，加力推进重大项目建设，不 断扩大有效投资。1至5月，全省固定资产投资同比增长5.4%；全省亿元以上在建项目7274个，完成投 资同比增长6.8%，拉动投资增长4.7个百分点；在制造 ...

面对如此复杂的业务格局，华为制定了明确的制造数字化转型战略，即 "三流合一、边云协同"。"三流合一" 指的是将数据流、价值流与实物流深度融合， 实现高效协同运转。"边云协同" 则是充分发挥边缘计算与云计算的优势，让数据处理与决策更加高效智能。这一战略旨在通过高新技术应用，应对制造业 务挑战，逐步达成业务目标。 具体业务目标涵盖多个方面： 华为数字化工厂的总体业务架构围绕制造数字化展开，构建了从运营监控到综合应用的多层级联动体系，实现全流程贯通与多业务协同。 本文引用的参考文献搜集于互联网，非原创，如有侵权请联系小编删除！ 请勿将该文章用于任何商业用途，仅供学习参考，违者后果自负！更多参考公众号：无忧智库 在当今数字化浪潮席卷全球的背景下，制造业正经历着前所未有的变革。而华为，作为全球领先的通信与技术解决方案提供商，其在数字化工厂领域的探索 与实践，无疑为制造业的未来发展树立了新的标杆。 华为的制造业务版图极为庞大，覆盖全球，支撑九大产品线，承担着 170 多个国家和地区的交付任务。这不仅要求其具备卓越的制造技术与能力，更需作为 全球制造管理中心，对华为品牌全球交付质量负责。 在运营监控层面，重点对计划达成率、 ...

Core Insights - Shandong Province's Industrial and Information Technology Department announced the 2025 "Gongfu Baijing" manufacturing digital transformation project list, highlighting the focus on technology empowerment, chain transformation, and carrier empowerment [1][2] Group 1: Project Overview - A total of 81 projects were announced, involving nearly 100 entities, including several listed companies [2] - Key projects include a supply chain collaboration platform for wearable electronic consumer goods led by GoerTek (002241), an AI and big data-enabled supply chain management platform for smart TVs led by Hisense Visual (600060), and a smart breeding management project for traditional Chinese medicine supply chain led by Dong'e Ejiao (000423) [2] Group 2: Role of Listed Companies - Listed companies are becoming significant players in Shandong's manufacturing digital transformation, having undertaken multiple important projects in recent years [3] - Hanxin Technology emphasized its recognition as a key player in digital transformation, aiming to set a new paradigm for the digital upgrade of the traditional Chinese medicine industry [3] Group 3: Digital Transformation Statistics - As of 2024, the digital transformation coverage rate for large-scale industrial enterprises in Shandong reached 91%, with the integration of information technology and industrialization ranking second nationally [4] - From January to April of this year, key software revenue in Shandong reached 34.4 billion yuan, a year-on-year increase of 12.8%, with industrial software revenue at 20.57 billion yuan, up 12.9% [4]

Group 1: Current Status of Industrial Internet - The global industrial internet market is projected to reach $1.2 trillion by 2024 and grow to $1.8 trillion by 2027, with a compound annual growth rate (CAGR) exceeding 15% [1] - In China, the industrial internet industry has surpassed 1.5 trillion yuan, with over 80 million connected industrial devices and more than 150 industrial internet platforms [1] - Industrial internet optimizes production processes, enhances efficiency, reduces costs, and improves product quality, becoming a key support for high-quality development in manufacturing [1] Group 2: Importance of Identification and Resolution System - The identification and resolution system is a core foundational technology of the industrial internet, providing unique identifiers for devices, products, and processes [2] - China has registered over 30 billion identifiers, with an average of over 10 million resolutions per day, addressing information silos and enhancing data sharing across the supply chain [2] - The system supports lifecycle traceability in industries like automotive manufacturing, improving production efficiency and quality management [2] Group 3: Policy Support and Technical Standards - The Chinese government has introduced policies to support the rapid development of the identification and resolution system, including the "Identification and Resolution System 'Integration' Action Plan (2024-2026)" [3] - Local governments are increasing investments in the construction of the identification and resolution system, promoting related technology research and application [3] - China is actively following international standards while developing its own standards, such as the Handle system and OID, to enhance the identification and resolution system [4][5] Group 4: Talent Development Needs - The demand for talent in the industrial internet sector is expected to reach a shortage of approximately 12 million in the next five years [6] - Vocational colleges play a crucial role in training high-quality technical talent but face challenges in keeping up with industry developments and practical training [6] - Establishing training labs for identification and resolution applications can enhance students' practical skills and meet the industry's urgent need for skilled professionals [6] Group 5: Curriculum Development - Basic courses aim to provide a solid theoretical foundation, covering topics such as industrial internet overview, computer network fundamentals, database principles, and programming languages [11][12] - Core professional courses focus on key technologies and application development in the identification and resolution system, including system architecture, coding rules, and practical operations [12][13] - Practical projects and case studies are essential for combining theoretical knowledge with hands-on experience, enhancing students' understanding and application skills [14][15] Group 6: Teacher Professional Development - Enhancing teacher capabilities is vital for the quality of education in the industrial internet field, with measures including professional training and participation in industry projects [16] - Hiring industry experts as part-time instructors can bring real-world experience and insights into the classroom, improving students' industry readiness [17] - Establishing partnerships with enterprises for collaborative projects can provide practical experience and foster innovation in teaching [17]

Core Insights - The core demand in the manufacturing industry remains unchanged, focusing on production management and supply chain-related needs, with a more rational and focused understanding of transformation expectations from the demand side [1][2][3] Demand Market Insights - The manufacturing industry exhibits strong regional characteristics, with Guangdong, Jiangsu, Zhejiang, and Shandong being the top provinces actively pursuing digital transformation [4][5] - The evaluation side emphasizes practical implementation in production-related areas, with 57.8% of the focus on core production needs in recent years [8][9] - The bidding side, primarily led by local industrial and information technology bureaus, focuses on diagnosing business pain points and implementing solutions for digital transformation [10] Transformation Status - Companies have recognized the necessity of digital transformation, with 86.7% acknowledging its importance, and 71.1% implementing various tools to optimize business processes [15][16] - The primary drivers for transformation are demand from the supply chain and the need for operational cost optimization, with 84.4% of companies aiming for cost reduction [19] Urgent Transformation Scenarios - The most pressing scenarios for digital transformation include data preparation, supply chain management, and production management, with 77.8% of companies prioritizing data infrastructure [21][22] Supplier Selection and Concerns - Companies prioritize practical solutions that match actual needs when selecting suppliers, with 82.2% focusing on solution applicability [25] - Concerns regarding historical burdens and complex system upgrades are significant barriers to transformation [25] Future Investment Trends - 77.8% of companies plan to increase their digital transformation investments in the coming year, primarily focusing on software solutions, which will account for 46.6% of the spending [27][28] Large Model Exploration - Companies are exploring the application of large models primarily in marketing, supply chain management, and data services, with 40.0% focusing on customer insights and marketing management [30] - Concerns about the uncertainty of results from large models pose significant risks, with 80% of companies expressing apprehension about decision-making risks [33] Market Growth Projections - The market for digital transformation in China's manufacturing industry is projected to reach 1.55 trillion in 2024 and 1.76 trillion by 2025, with a steady growth rate of around 14% over the next five years [39] Supply Market Characteristics - The supply market is evolving towards integrated solutions, with a clear trend of software and hardware convergence and cross-module integration [44][47] - The application of large models is gradually deepening, with companies exploring various methods to integrate these models into their operations [48]

Core Viewpoint - The interview with Lu Xiaojia, General Manager of Nanjing Sifijie Software Technology Co., Ltd., highlights the company's journey in digital transformation and its role in the manufacturing industry's upgrade amidst the Industrial 4.0 wave [1][2]. Group 1: Company Overview - Nanjing Sifijie Software Technology Co., Ltd. was founded in 2013, focusing on providing digital solutions for the manufacturing industry, particularly during a critical period of transformation in China's manufacturing sector [2]. - The company has evolved from a software developer to a comprehensive service provider for digital transformation, covering the entire process of manufacturing digitalization [2]. Group 2: Product and Service Offerings - Sifijie has developed core products such as an energy visualization management system, industrial internet platform software, MES systems, and intelligent warehousing software, which assist manufacturing enterprises in overcoming development bottlenecks and achieving intelligent upgrades [2]. - The company emphasizes a "technology-driven" core strategy, utilizing IoT technology for real-time energy data collection and intelligent analysis to optimize energy usage efficiency [2][3]. Group 3: Innovation and Challenges - Sifijie has successfully addressed the "data silo" issue in manufacturing by developing an industrial internet platform that enables seamless data flow and efficient utilization across different layers of production [2][3]. - The company has established a joint laboratory with universities to develop high-precision torque control systems with independent intellectual property rights, breaking foreign technology monopolies and achieving import substitution [3]. Group 4: Future Plans - Looking ahead, Sifijie aims to become the preferred partner for digital transformation in China's manufacturing industry, continuing to innovate and lead in this sector [3].

Core Insights - Guangdong province is promoting a "chain transformation" for the digitalization of its manufacturing industry, with 44,000 large-scale industrial enterprises undergoing digital transformation and over 300 "lighthouse" projects cultivated, including more than 100 national pilot projects [1] - The digital transformation is shifting from "point breakthroughs" to "chain transformations," benefiting both leading enterprises and small and medium-sized enterprises (SMEs) [1] Group 1: Digital Transformation Initiatives - Guangdong has established a provincial digital transformation promotion center to address core issues such as "who to transform" and "how to transform," providing a one-stop service platform for digital transformation [2] - Guangzhou is leveraging its strengths by promoting low-cost and rapid transformation through a "one list, one platform" approach, with over 2,000 platform users and more than 500 product offerings [3] - Shenzhen Bao'an is accelerating resource aggregation to support deep collaboration within the industrial chain, with platforms like SugaNet and Cloud Factory gathering over 14,000 manufacturing enterprises [3] Group 2: Financial Support and Ecosystem Development - Dongguan Songshan Lake has created a digital service platform with over 100 quality digital service providers, offering more than 170 comprehensive solutions for over 7,000 micro-enterprises [4] - Zhongshan has innovated a "digital loan" policy to address funding challenges for SMEs, establishing a 500 million yuan risk compensation fund and facilitating 155 digital loan projects with a total loan demand of 1.6 billion yuan [4] Group 3: AI Integration in Manufacturing - Leading enterprises are acting as "chain leaders," with AI technology enhancing decision-making processes for SMEs, transitioning from traditional manual decisions to intelligent decisions [5][7] - Companies like Meiyun Zhishu are providing high-quality, low-cost, and easily deployable application solutions for SMEs through an industrial internet platform [6] - The "5G manufacturing brain" platform developed in collaboration with telecommunications has significantly improved production efficiency, saving over 600,000 yuan in storage costs annually [7]

Group 1 - The event held in Nanshan District aims to promote the digital transformation of the manufacturing industry through a collaborative platform involving government, service providers, and enterprises [3][6] - Nanshan District is set to introduce a series of policies focused on digital transformation, including subsidies, rewards for smart manufacturing capabilities, and support for public service platforms [3][4] - The event featured expert presentations on AI's role in manufacturing, showcasing applications in product design, quality inspection, and supply chain optimization [4][5] Group 2 - Various service providers presented their solutions, emphasizing the integration of AI and big data to enhance production efficiency and product quality [4][5] - The event facilitated one-on-one discussions between enterprises and service providers, leading to preliminary cooperation agreements addressing digital transformation challenges [6] - The series of events will continue throughout the year, focusing on different sectors to create a mechanism for regular engagement and support for Nanshan enterprises [6]

Core Insights - The digital transformation of the manufacturing industry is essential for adapting to the digital economy and achieving high-quality development, with Anhui Province leading the way in this transformation, creating a unique "Anhui model" that supports industrial growth [1][2] Summary by Sections Digital Transformation Achievements - In 2024, Anhui Province added 8,943 enterprises to its digital transformation initiatives, exceeding the annual target by 178.9%, with a cumulative digital transformation enterprise ratio of 69.47% [1] - Industrial investment, technological transformation investment, and manufacturing investment grew by 13.6%, 20.5%, and 13.3% year-on-year, respectively, maintaining double-digit growth for 48 consecutive months [1] - The manufacturing high-quality development index improved from 7th to 5th nationally, with 76.25% of the 24,600 enterprises having initiated digital transformation by the end of Q1 2025 [1] Leading Enterprises and Case Studies - Chery's intelligent manufacturing factory exemplifies Anhui's digital transformation, featuring over 660 intelligent robots and achieving a 97% automation rate, capable of producing 1,200 vehicles daily [3][5] - Chery aims to leverage intelligence in its operations, creating a modern industrial cluster and smart mobility ecosystem [5] Policy and Financial Support - Anhui has implemented top-level design and innovative mechanisms to support digital transformation, with a total of 2.523 billion yuan allocated to support various projects, attracting 35.7 billion yuan in financial institution funding [6] - The province has established 24 provincial-level digital transformation demonstration parks and created over 400 digital transformation model enterprises [9] Support for Small and Medium Enterprises (SMEs) - Anhui's "classification demonstration" approach aids SMEs by reducing software application costs and providing tailored digital transformation solutions, with 14,000 new software service package applications in 2024 [7][8] - The province has also launched 103 provincial-level SME demonstration projects to promote best practices [8] Infrastructure and Talent Development - In 2024, Anhui added 22 key industrial internet platforms and connected over 1,023 million devices, serving more than 200,000 enterprises [10] - The province plans to train over 300,000 digital economy professionals by 2027, with a focus on digital skills [14][15] Future Directions - Anhui's industrial and information technology department emphasizes the importance of digital transformation as a means to foster new productive forces, with all large-scale industrial enterprises having initiated digital upgrades [15]