Workflow
智能制造
icon
Search documents
首批领航级智能工厂培育名单公布 全国仅15家,四川1家入选
Si Chuan Ri Bao· 2025-11-30 01:55
Core Points - The Ministry of Industry and Information Technology announced the list of pilot intelligent factories for 2025, with 15 factories selected nationwide, including Chengdu Aircraft Industrial (Group) Co., Ltd. as the only representative from the western region [1] - The intelligent factories are categorized into four levels: foundational, advanced, excellent, and pilot, with the pilot level representing the highest standard of intelligent manufacturing in China [1] - Chengdu Aircraft Industrial is implementing AI, 5G, and digital twin technologies to enhance its intelligent manufacturing capabilities, supporting efficient collaborative manufacturing for various aircraft products [1] Summary by Category Intelligent Factory Development - A total of 20 excellent-level intelligent factories, 104 advanced-level intelligent factories, and 761 foundational-level intelligent factories have been cultivated in Sichuan province [2] - The development of intelligent factories is being systematically promoted through a tiered approach, focusing on key industries such as electronic information, equipment manufacturing, advanced materials, and healthcare [2] Technological Integration - Chengdu Aircraft Industrial is creating a flexible and agile intelligent factory for advanced aircraft, leveraging digital technologies to form an innovative ecosystem for intelligent manufacturing across the industry [1]
专访雷军:所有产业都值得用AI做一遍,未来5年人形机器人将大面积在小米工厂上岗
Xin Lang Cai Jing· 2025-11-30 00:22
Core Insights - Lei Jun, founder and chairman of Xiaomi, emphasizes the importance of Beijing's industrial foundation for the company's success, particularly in the context of the rapid development of the electric vehicle (EV) sector [2][4] - The production of Xiaomi's 500,000th vehicle marks a significant milestone, showcasing the rapid growth of the EV industry in Beijing, which is transitioning towards new technologies and production capabilities [2][4] - The integration of artificial intelligence (AI) into traditional industries is highlighted as a transformative opportunity, with potential for significant efficiency gains and market expansion [11][13] Group 1: Beijing's Industrial Landscape - Beijing's industrial base is crucial for Xiaomi, providing a supportive environment for innovation and manufacturing [2][4] - The city has seen a dramatic increase in EV production, from approximately 20,000 units in 2020 to an expected 300,000 units in 2024, reflecting the successful transition of Beijing's automotive industry [4][6] - The establishment of national-level innovation centers in Beijing for smart and new energy vehicles enhances the technological capabilities available to companies like Xiaomi [3][4] Group 2: Smart Manufacturing and AI Integration - Xiaomi's approach to manufacturing leverages smart technologies, with the company achieving a production efficiency increase of 60% through automation [8][11] - The company is investing in AI technologies to enhance production processes, such as using AI for quality control in manufacturing, which significantly improves speed and accuracy [11][13] - The development of humanoid robots for factory work is anticipated to become a reality, indicating a shift towards more advanced automation in manufacturing [11][13] Group 3: Future Directions and Strategic Focus - The "14th Five-Year Plan" has led to a strategic focus on high-tech and high-value manufacturing in Beijing, with significant investments in advanced manufacturing facilities [6][8] - The collaboration between academia and industry in Beijing is positioned as a key driver for innovation, with a strong emphasis on developing new production capabilities [13] - The upcoming commercial aerospace research and production base in Beijing signifies the city's commitment to expanding its industrial capabilities into new sectors [13]
中国制造业加快智能化转型 深圳自动化跻身前列
Shen Zhen Shang Bao· 2025-11-29 23:11
深圳的自动化发展路径独具特色。2000年之后,3C技术与产业铸就了深圳自动化、数字化、智能制造 与智能装备、云计算、大数据与人工智能的雄厚基础,涌现出华为、中兴、英威腾、麦格米特、大族激 光等诸多优秀企业,汇川技术更是成为龙头企业。 【深圳商报讯】(记者 刘娥)"深圳已跻身全国自动化领域的竞争高地!"11月28日,深圳自动化学会 理事长杨俊在2025年大湾区自动化创新与发展论坛上接受深圳商报记者采访时表示,自2015年《中国制 造2025》发布以来,中国制造业智能化转型步伐正在加快。 在智能装备领域,"深圳在激光行业拥有大族、联赢等上市公司,电池领域有比亚迪设立的两个研究 院,非标装备企业集聚,智能装备水平与长三角同属国内竞争高地。"杨俊表示。 杨俊表示,深圳凭借在通3C、智能检测与变频、电机等执行机构所积累的深厚产业基础,叠加物联 网、云计算、大数据与人工智能为代表的新一代信息技术的领先优势,已在珠三角地区形成显著的自动 化产业竞争力,与长三角同属全国自动化产业发展的两极。 ...
抢占“智”高点,带动产业升级
Xin Lang Cai Jing· 2025-11-29 18:22
1994年出任金山软件公司总经理,2007年投身天使投资,2010年创立小米公司,2021年进军新能源汽车 ——从软件到互联网、手机,再到新能源汽车……30年间,雷军个人身份的切换也是映照北京产业升级 迭代的一面镜子。 11月20日,小米汽车第50万辆整车下线,创下全球新能源汽车行业最快纪录。当天的下线仪式上,雷军 又一次感谢北京:"没有北京这片沃土,就没有小米。" "沃土"本身也在改变。新能源汽车的产业链长,可强力带动新材料等一批产业发展。虽然汽车产业是北 京制造业的第一大产业,但新一轮科技革命和产业变革下,北京也面临能否"换道超车"的压力。 采访中,雷军坦言,在北京造新能源汽车并不具备太强的成本优势。比如,电池等众多关键零部件布局 还是南方居多,气候原因导致新能源汽车的南方市场占比也更大。"大量零部件先运到北京,很多车造 好了还得运回南方,一来一回运输成本就高不少。"他说。 但北京的创新实力、产业基础和营商环境优势吸引了他。"小米汽车工厂从立项到建成只用了14个月, 这样的纪录,在很多城市是实现不了的!"雷军说,包括智能网联汽车、新能源汽车技术、动力电池在 内的三大国家级汽车领域创新中心都布局在北京,这给 ...
全国首批只有15家,这类工厂何以领跑中国智造?
Huan Qiu Wang· 2025-11-29 06:40
Core Insights - The establishment of the first batch of leading intelligent factories in China marks a significant advancement in the manufacturing sector, with 15 factories selected as benchmarks for future development [1][3] - These leading intelligent factories demonstrate over 80% smart penetration in their construction scenarios, showcasing their capability for full-process intelligent decision-making and driving collaborative development across the supply chain [3][6] Group 1: Overview of Leading Intelligent Factories - A total of 7,000 advanced factories and 504 excellent factories have been built in China, with 15 identified as leading intelligent factories [1] - The leading intelligent factories serve as a model for the transformation and upgrading of the manufacturing industry, providing replicable smart manufacturing models for enterprises [3][4] Group 2: Specific Companies and Their Innovations - Nanjing Steel Co., Ltd. has implemented a comprehensive digital twin system that integrates 26 production lines, allowing for clear tracking of production data and reducing inventory from 15 days to 5 days, significantly lowering capital occupation by two-thirds [6][8] - The use of artificial intelligence models in Nanjing Steel's production processes has improved efficiency, with a 98.5% on-time order rate and a 9% reduction in total industry costs [10] - Other notable companies among the 15 leading factories include Baoshan Iron & Steel, Shanghai Aerospace Equipment Manufacturing, and Gree Electric Appliances, each contributing unique innovations to their respective sectors [4][6]
从7000余家选出15家 “领航级”工厂如何领跑中国智造
Core Insights - The first batch of leading smart factories has been announced in China, with 15 selected as representatives of the highest level of manufacturing development, showcasing significant benchmark effects for industry transformation and upgrading [1][3] Group 1: Smart Factory Development - A total of over 7,000 advanced factories and 504 excellent factories have been established in China, with 15 identified as leading smart factories [1] - Leading smart factories exhibit core capabilities of "full-process intelligent decision-making," driving collaborative development across upstream and downstream sectors [3] Group 2: Impact on Industry - Each leading smart factory has reportedly replicated and promoted its model to over 100 other factories, becoming a driving force for industry transformation [5] - The smart factories have achieved an intelligent penetration rate exceeding 80% in their construction scenarios, accelerating the adoption of high-value chain links [3] Group 3: Digital Twin Systems - A digital twin system has been implemented in steel production, allowing for detailed tracking of production processes and material relationships, significantly reducing inventory days from 15 to 5 [8][10] - The digital twin system enhances collaboration with upstream suppliers, reducing capital occupancy by two-thirds [10] Group 4: Automation and Efficiency - Advanced models are utilized to automate the steel rolling process, minimizing human intervention and ensuring precise control over material thickness [12] - A comprehensive inspection system, including laser scanning and CT imaging, ensures the quality of produced steel plates, achieving a 98.5% order fulfillment rate and reducing total industry costs by 9% [14][16] Group 5: Cost Reduction and Profit Increase - The implementation of multi-modal data perception has led to 100% digital control of key processes and equipment, resulting in cost savings exceeding 500 million RMB for the company [16]
透视多维度数据感知中国活力 “数”说经济高质量发展澎湃动能
Yang Shi Wang· 2025-11-29 03:54
Economic Overview - The transportation sector in China has shown a stable and progressive development trend in the first ten months of the year, according to the Ministry of Transport [1][7] - Fixed asset investment in transportation reached 2.95 trillion yuan, maintaining a high level [3] Freight and Passenger Movement - The total freight volume reached 48.29 billion tons, marking a year-on-year increase of 3.5% [5] - Cross-regional passenger flow reached 56.88 billion person-times, with a year-on-year growth of 3.6% [5] Port Activity - Port cargo throughput increased to 15.13 billion tons, reflecting a year-on-year growth of 4.3% [5] - Container throughput at ports reached 29 million TEUs, with a year-on-year increase of 6.4% [5] Logistics Sector Performance - The total social logistics value for the first ten months was 29.37 trillion yuan, up 5.1% year-on-year [8] - Industrial product logistics value grew by 5.3%, driven by strong demand in equipment manufacturing and high-end manufacturing sectors [10] - Logistics revenue for the industry increased by 4.5% year-on-year, indicating ongoing structural adjustments [10] E-commerce and New Business Models - Online retail of physical goods has outpaced digital product retail growth, highlighting stable demand in e-commerce logistics [12] - New business models such as instant retail and live e-commerce are experiencing robust growth, contributing to logistics demand [10] Smart Manufacturing Initiatives - The first batch of leading smart factories was announced, indicating a shift towards intelligent manufacturing [14] - These factories are expected to drive innovation and transform production methods across various industries [14] IoT and Digital Economy Growth - China's IoT connections are projected to exceed 3.5 billion this year, with significant investments in related infrastructure [17][20] - The traditional digital economy's annual output value is expected to surpass 80 trillion yuan, with over 1.2 million enterprises meeting advanced digital economy conditions [20] Internationalization of Private Enterprises - The internationalization of private enterprises is expanding, with overseas revenue projected to reach 5.215 trillion yuan in 2024, a nearly 12% increase [24] - The export value of internationalized private enterprises is expected to exceed 3.283 trillion yuan, growing over 10% [24] Foreign Exchange Market Activity - In October, China's foreign exchange market recorded a total turnover of 21.97 trillion yuan, with cumulative turnover for the year reaching 252.07 trillion yuan [26][27]
南钢,再签约!
Xin Lang Cai Jing· 2025-11-29 03:45
11月27日,南京钢铁股份有限公司与东方电气股份有限公司战略合作签约仪式在南京举行。根据协议,双方将通过"南钢材料+东电装备"的强强联合,共 同推进相关技术跃迁、突破,打造具有国际竞争力的现代产业体系,实现高端材料自主可控。 南京市委副书记、代市长李忠军,中信集团党委副书记、副董事长、总经理张文武,东方电气集团党组成员、副总经理王军,南京市委常委、江北新区党 工委书记、浦口区委书记陆卫东,江苏省工业和信息化厅党组成员、副厅长石晓鹏,中信泰富党委副书记、总裁、中信泰富特钢党委书记、董事长钱刚, 东方电气集团总经理助理、股份公司副总裁胡修奎,南钢党委书记、董事长黄一新等见证签约。 南京市政府秘书长洪礼来,江北新区党工委委员、管委会副主任陶磊,南京市工业和信息化局副局长娄伟,东方自控党委副书记、总经理张黎,东方电气 集团产业发展部副部长李元,东方氢能党委副书记、总经理巩李明,中信集团业务协同部总经理任霞、科技与数字化部总经理赵磊、办公厅副主任崔玉开 等参加。南钢党委副书记王芳主持签约仪式,副总裁谯明亮代表南钢签署协议。 南钢作为中信集团的一员,与东方电气有着良好的合作基础。南钢与东方电气均创建于1958年,长期保持 ...
浙江首个民用无人机试飞运行基地001牌照落地杭州;全球最大3D打印工厂将落地深圳丨智能制造日报
创业邦· 2025-11-29 03:22
Group 1 - The world's largest 3D printing factory will be established in Shenzhen, with Huina Technology planning to deploy 15,000 TuoZhu 3D printers by Q1 2026, making it the largest globally [2] - Nvidia's CEO Jensen Huang emphasized that Nvidia's GPUs are irreplaceable and that the AI market is vast and rapidly growing, requiring continuous innovation to maintain a competitive edge [2] - The first civil drone test flight operation base in Zhejiang has received the 001 license, covering 102 acres and providing comprehensive services for R&D, flight verification, and training [2] Group 2 - TSMC's advanced packaging plant in Chiayi is set to begin mass production next year, with plans to expand by adding approximately six 3D packaging plants in the future [2]
百钰顺公司加强精密结构件工艺创新—— 精益生产提升质效
Jing Ji Ri Bao· 2025-11-29 02:35
百钰顺公司将智能制造深度融入生产全流程,配备了3000多台数控加工中心、600多台冲压机等高性能 自动化设备,布局建设自动化、柔性化生产线,从原料输送到精密加工,再到成品检测,整个生产流程 实现智能化管控。"仅在重庆基地,公司建成2个数字化车间。今年以来,新投产4条自动化生产线,前 三季度产量同比增长10%。"李文涛说。 技术创新是企业发展的核心驱动力。近年来,百钰顺公司成立技术研发中心,每年投入3000多万元开展 技术研发和工艺升级,突破了铝合金常温锻造技术、冲压线自动化技术、铝合金表面纳米处理及铝塑结 合成型技术等关键技术。同时,公司与高校、研发机构共建产学研联合实验室,推动一批创新工艺实现 产业化,构筑起核心竞争力。目前,公司获得19项发明专利、89项实用新型专利。 "公司将持续以创新为锚,聚焦核心业务,在精密化、轻量化产品生产技术工艺方面加大研发投入,满 足消费电子、新能源、航空航天等领域新需求,进一步提升智能化管理水平,实现稳健发展的同时,以 高质量精密结构件赋能更多行业高质量发展。"李文涛说。 工艺转型并非易事。从模具设计、锻压调试、热处理参数控制再到表面处理工艺,每个环节都充满挑 战。为此,百钰 ...