【环球时报驻德国特约记者 昭东 环球时报记者 李迅典】 编者的话： 德国《法兰克福汇报》近日发文称，当欧洲的政策制定者们深陷于关税壁 垒、碳排放目标与产业补贴的争论中时，一场更具颠覆性的变革，已在他们的视野之外悄然加速。这场变革的核心，是一个中国已在多个产业实 践、被视为制造业未来发展方向，却在欧洲政策讨论中鲜有提及的概念——"黑灯工厂"。近期，越来越多欧洲媒体与产业界人士发出警告，欧洲 正面临错失这一关键产业转型窗口的巨大风险，并可能在全球工业新格局中逐渐边缘化。 " 这种战略性的视而不见是危险的 " 《法兰克福汇报》称，"黑灯工厂"指高度自动化、智能化的现代工厂，其生产设施几乎完全无需人工干预即可运行。机器人负责组装，传感器负 责监控，人工智能系统负责纠错，数字孪生技术对生产流程进行实时协同调度。由于无需传统工厂所必需的照明、供暖以及人工轮班，此类工厂 可实现24小时不间断运行，在显著降低运营成本的同时，达到传统人工制造难以企及的质量标准与一致性。这并非实验室里的未来构想，而是已 在全球多地投入运营的成熟生产模式。 德国《焦点》周刊等媒体关注到中国智能手机制造商小米的"黑灯工厂"：在北京昌平区，一家工厂没 ...

Core Insights - The "black light factory" model implemented by the National Energy Group's Qinghai Haibei Company has successfully operated for three weeks, demonstrating the stability of the intelligent operation and maintenance system and achieving significant improvements in human resource optimization and efficiency [1][2] - The comprehensive implementation of the "black light factory" model has become a key driver for the company's power generation to exceed previous levels, utilizing remote centralized control from the production command and dispatch center [1] Group 1 - The company has optimized its photovoltaic power prediction model, maintaining a prediction deviation rate within 5%, resulting in a monthly reduction of over 3 million kilowatt-hours in energy loss [1] - The intelligent system has increased inspection efficiency by three times, reducing fault response time from four hours to one hour [1] - The equipment integrity rate for two substations has stabilized at 99.8%, an increase of 0.5 percentage points compared to before the trial operation [1] Group 2 - The new intelligent operation and maintenance model has reduced equipment fault response time to under five minutes, effectively lowering safety risks associated with high-altitude operations [2] - This successful practice lays a solid foundation for future intelligent construction within the company and contributes positively to the green energy transition and high-quality development in Qinghai Province [2]

Core Insights - The digital transformation of the manufacturing industry is crucial for enhancing core competitiveness and optimizing industrial structure [2][4] - The integration of digital technology into manufacturing processes can significantly improve production efficiency and product quality while reducing costs [3][4] Group 1: Digital Transformation in Manufacturing - The concept of "dark factories" allows for automated production without human intervention, leading to a 30% increase in production efficiency and a 20% reduction in defect rates for automotive manufacturers [2] - The "smart brain" workshop exemplifies digital empowerment in manufacturing, enabling real-time monitoring and predictive maintenance through data analysis [3] - Traditional manufacturing processes are often inefficient and lack standardized quality control, which can be improved through digital technologies [3] Group 2: Challenges and Investment in Digitalization - The main challenge in digital transformation is standardizing processes and integrating various stages such as materials, manufacturing, and design [3][4] - Significant investment in both financial and human resources is required for successful digital transformation, but the long-term benefits include enhanced market competitiveness and operational efficiency [4] Group 3: Role of New Social Class and Future Directions - New social class individuals play a vital role in driving innovation and upgrading traditional industries, contributing to the digital transformation of manufacturing [5] - The manufacturing sector is undergoing a shift towards digitalization and intelligence, which is changing the career development landscape for technical talent [5] - Young professionals are encouraged to join the manufacturing industry, focusing on teamwork, experience accumulation, and innovative thinking to thrive in a competitive environment [5]

Financial Performance - In Q1 2025, the company achieved an operating income of 3.308 billion yuan and a net profit attributable to shareholders of 156 million yuan, with a net profit excluding non-recurring items of 129 million yuan [1] - The company proposed a cash dividend of 6.23 yuan per 10 shares, totaling 1.665 billion yuan, and plans to repurchase and cancel 4.691 million shares, which will enhance earnings per share [1] Technological Advancements - The company, in collaboration with Tsinghua University, successfully developed a 50kg hydrogen-powered drone that completed a 30-hour continuous flight, setting a domestic record and achieving international leading endurance levels [2] - The drone's flight utilized autonomous release technology from a ground vehicle and validated its use in non-standard runway conditions, showcasing its capabilities for real-time data transmission [2] Smart Manufacturing Initiatives - The company's "black light factory" was recognized as an "excellent intelligent factory" and awarded the "Best Practice in Chinese Intelligent Manufacturing" by the Ministry of Industry and Information Technology in 2024 [3] - The factory focuses on automation, digitalization, and intelligence, enhancing production reliability and product quality through advanced data collection and monitoring systems [3] Industry Recognition and Future Plans - The company received the first prize for modern management innovation at the 31st National Enterprise Management Innovation Conference for its smart workshop group construction, which integrates data, information, and operational technologies [4] - Plans include the continued integration of AI, big data, cloud computing, and digital twin technologies to create a leading smart manufacturing demonstration workshop group for high-end aviation equipment [4] Collaborative Innovation - The National High-end Aviation Equipment Technology Innovation Center hosted an international academic conference on smart factory technology, attracting over 200 industry experts from seven countries [5] - The conference aimed to foster academic exchange and collaboration between academia and industry, promoting technological research and industrial upgrades [5]