临近2025年岁末，国家石油天然气管网集团有限公司（下称"国家管网"）内部，一系列围绕数据的会议密集召开。会议的焦点，从传统的管道压力、输气 量，转向了如何将国家管网运营五年来积累的超过100亿条核心数据，更安全、更高效地"用起来"，乃至"交易出去"。 经济观察报记者 王雅洁 这些会议，是为可能即将签署的数据合作开发协议铺路。国家管网运营的全国"油气一张网"，不仅是物理的能源动脉，也是汇集了生产、运输、交易、设备 状态等海量信息的"数据一张网"。当下的任务，是思考如何让这些"硬设施"里的数据实现"软联通"，以打破市场壁垒，激活产业链。 行动的紧迫感，源于一项顶层设计的落地。2025年11月25日，国家数据局与国务院国资委联合启动"国有企业数据资源开发利用试点工作"。试点工作明确了 国家管网、中国移动、国机集团、中国汽车技术研究中心、中国南方电网等12家中央企业作为首批试点牵头单位，要求它们联合民营企业、科研院所等组 建"合作阵营"，共同探索数据从资源到资产再到资本的跃迁路径。 在国家数据局副局长陈荣辉的表述中，这并非普通的信息化升级，而是"国有企业数据效能提升行动"与新一轮国企改革深化提升行动的"有机结合"， ...

Core Insights - The company aims to empower high-quality energy development through AI integration, focusing on practical outcomes from policy requirements [1] - The integration of AI with energy and power sectors is seen as a significant innovation, enhancing the synergy between electricity and carbon management [2] Group 1: AI and Energy Integration - The company is accelerating the construction of an "electric-carbon-computing" system to address challenges posed by the integration of data and power transmission projects [2] - A four-dimensional testing matrix has been developed to achieve a 95% accuracy rate in predicting power consumption for computing resources [2] - The company has created a real-time power-computing measurement system, successfully tested in Guangzhou, which aims to make computing resource usage as convenient and quantifiable as electricity [2][3] Group 2: Data Activation and Value Release - The company is leveraging AI to break down data barriers and activate dormant energy data resources, establishing a complete data value release chain [4] - A data asset management platform has been established to facilitate the regular collection and monitoring of vast amounts of data, with plans to launch a trusted data space in August 2024 [4] - The company has collaborated with over 280 ecosystem entities to create high-value application scenarios, enhancing data accessibility and utilization [4] Group 3: AI-Driven Operational Efficiency - The "electric-carbon-computing collaborative operation system" developed by the company acts as an intelligent navigation tool for power consumption and carbon emissions monitoring [3] - This system has enabled a reduction of over 10% in computing operation costs by dynamically adjusting tasks based on electricity price fluctuations [3] - The company has achieved a 100% green electricity supply for all venues at the Guiyang International Big Data Industry Expo, significantly reducing coal consumption and carbon emissions [3] Group 4: Ecosystem and Technological Innovation - The company is focusing on building a robust AI technology foundation, with proprietary models enhancing simulation and optimization capabilities [7] - The "Da Watt" series of models has been recognized for its superior performance in simulating power system operations, significantly improving analysis speed and accuracy [7] - The company has invested in a scalable computing capacity of nearly 1400 PFLOPS, supporting its ongoing technological advancements [7] Group 5: Practical Applications and Impact - AI has enabled the company to achieve a 97% renewable energy consumption rate, positioning it among the top in the country [8] - The company has conducted the largest cross-provincial vehicle-grid interaction experiment in the country, involving over 100,000 electric vehicles [8] - AI-driven interventions in urban power management have led to a 43% reduction in average power restoration times, enhancing public satisfaction [8]

Core Insights - The National Bureau of Statistics of China is implementing a data efficiency enhancement initiative for state-owned enterprises, with 12 central enterprises as pilot leaders, aiming to improve data governance and resource utilization by 2027, benefiting over 100,000 SMEs [1][2] Group 1: Data Utilization and Management - State-owned enterprises are identified as key players in the development and utilization of data resources, with a focus on enhancing core competitiveness and promoting collaborative innovation in the industrial chain [1][2] - The initiative includes 10 key tasks centered around innovating data management mechanisms, fostering the data industry, enabling industrial transformation, and optimizing the innovation environment [2] Group 2: Collaboration and Innovation - The initiative encourages collaboration among state-owned enterprises and their partners across various sectors, including energy, transportation, and agriculture, to create a trusted data space and promote data sharing and innovation [2] - The National Oil and Gas Pipeline Group has created a comprehensive data network, aggregating over 10 billion core data entries, significantly improving data quality and operational efficiency in the natural gas supply chain [3] Group 3: Technological Integration - China Southern Power Grid has established a trusted data space that integrates advanced technologies like blockchain and privacy computing, enhancing data flow and collaboration among over 370 ecosystem partners [4] - China Machinery Industry Group has developed an "Agricultural Machinery Cloud" that connects the entire lifecycle of agricultural machinery, processing over 10 billion data entries daily [5] Group 4: Data-Driven Applications - China Mobile has created a big data platform that processes over 2000PB of core data, improving customer service and operational efficiency across various scenarios [6] - The China Automotive Technology and Research Center is focusing on carbon footprint accounting and data interoperability across the automotive supply chain, enhancing international rule recognition [6] Group 5: Future Directions - The initiative emphasizes the importance of enterprises taking the lead in data utilization, fostering multi-party collaboration, and integrating diverse data sources to drive industrial transformation and improve public welfare [6]

Core Viewpoint - The National Data Bureau has initiated a data efficiency enhancement action for state-owned enterprises, emphasizing collaboration among various stakeholders to maximize data utility and drive innovation [1][5]. Group 1: Data Efficiency Enhancement Action - The action was launched in July 2023, with 12 central enterprises designated as pilot leaders, collaborating with private companies, research institutions, and professional service organizations [1]. - The initiative focuses on three key areas: multi-party collaboration, multi-source data integration, and multi-field application expansion [2][5]. Group 2: Multi-Party Collaboration - The pilot encourages central enterprises to form cooperative alliances with other state-owned and private enterprises, research institutions, and third-party organizations to enhance data resource development and utilization [1][2]. Group 3: Multi-Source Data Integration - The pilot aims to promote data sharing and open access, requiring the 12 pilot central enterprises to create data service lists and integrate industry and government data for collaborative applications [2]. - Enterprises are encouraged to establish industry data standards and create trustworthy data spaces for secure and efficient data circulation [2]. Group 4: Multi-Field Application Expansion - The pilot encompasses traditional sectors like energy, transportation, and agriculture, as well as emerging fields such as satellite remote sensing and green technology [2]. - It emphasizes scenario-based applications, focusing on industry needs to develop high-value use cases and cross-industry collaborations [2]. Group 5: Case Studies from Pilot Enterprises - China Southern Power Grid has developed a trusted data space using advanced technologies, resulting in a tenfold increase in ecosystem partners and a threefold increase in collaboration demands within nine months [3]. - China Mobile has integrated various data sources to support emergency management, enhance industry upgrades, and improve public services, benefiting over 100 million people [4]. Group 6: Future Expectations - The initiative aims to enhance data governance capabilities and significantly improve data resource utilization and sharing by 2027, benefiting over 100,000 small and medium-sized enterprises [5].

Core Points - The establishment of the Trusted Data Space Development Alliance aims to accelerate the construction and development of a data-driven digital economy [4][5] - The alliance will serve as a platform for policy implementation, ecological collaboration, and innovation dissemination, focusing on national strategic directions [4][5] - The alliance is guided by the National Data Bureau and includes participation from various central enterprises and research institutions, emphasizing cross-industry collaboration [8] Industry Developments - The National Data Bureau's "Trusted Data Space Development Action Plan (2024-2028)" aims to establish over 100 trusted data spaces by 2028, promoting data space solutions and best practices [9][10] - The Southern Power Grid has initiated the construction of a trusted data space for the energy sector, with plans to optimize data resource allocation and utilization [10][11] - By December 31, 2024, the Southern Energy Industry Trusted Data Space is set to begin trial operations, supporting multiple energy data circulation application scenarios [10][11]