走进航空工业成都飞机工业（集团）有限责任公司（以下简称"航空工业成飞"）的"黑灯工厂"，数十台 数控机床如整齐列队的钢铁巨臂映入眼帘。它们在尖锐的金属材料切削声中持续运转、昼夜不停。由于 只需要原来十分之一的工人就可以保障厂房24小时连续运行，因此厂房因"人烟稀少"显得十分空旷。 这个"黑灯工厂"也是航空工业成飞先进航空装备柔性敏捷智能工厂的重要组成部分。 一直以来，由于产品多样、研制流程复杂、全链条协同难度大，航空装备制造实现高质量与高效率面临 重大挑战。为应对行业难题，先进航空装备柔性敏捷智能工厂应运而生。 该工厂建立起具有自适应、自优化、自改进、可重构的柔性生产模式，实现设计、工艺、制造全流程的 敏捷响应，AI场景赋能率超50%。工厂通过持续推进技术体系升级、管理体系重构、制造模式革新，为 先进航空装备的研制和高效批产按下"加速键"。 航空工业成飞先进航空装备柔性敏捷智能工厂建设项目具体负责人黎小华介绍，该智能工厂以智能底座 为基础，以智能产线建设为核心，一体谋划智能制造布局，围绕重点业务环节，推进AI、5G、数字孪 生等数智技术深度赋能，重点突破了多源数据难贯通、人工智能难落地、管控一体难实现等技术难 ...

Group 1 - The Ministry of Industry and Information Technology, along with five other departments, announced the first batch of leading intelligent factories in China, marking a significant leap from digitalization and networking to intelligence in manufacturing [1] - A total of 15 leading intelligent factories were announced, covering key industries such as equipment manufacturing, raw materials, electronic information, and consumer goods [1] - The leading intelligent factories integrate new-generation information technology, advanced manufacturing technology, and lean management concepts, representing the highest standards of intelligent manufacturing in China [1] Group 2 - The 2025 leading intelligent factory cultivation list includes notable projects such as Baoshan Iron & Steel's high-end green silicon steel predictive manufacturing intelligent factory and Shanghai Aerospace Equipment Manufacturing's highly reliable large-scale aerospace product intelligent factory [2] - Other projects on the list include Nanjing Steel's personalized customization intelligent factory for special steel and China Petroleum & Chemical Corporation's green petrochemical intelligent factory based on global optimization [2] - Additional entries include Hikvision's large-scale personalized customization intelligent factory for IoT sensing products and Weichai Power's high-end engine intelligent factory based on digital lean models [2] Group 3 - The 2025 World Intelligent Manufacturing Conference commenced in Nanjing, highlighting the importance of intelligent manufacturing in the current industrial landscape [3]