本报记者 郭冀川 11月25日，国家数据局举办"数据价值化 我们在行动"第三场新闻发布会，介绍国有企业数据效能提升行动有关情况。国家 数据局党组成员、副局长陈荣辉介绍，今年7月份，国家数据局会同国务院国资委组织实施国有企业数据效能提升行动，并于 近期组织开展首批试点工作，明确了12家中央企业为首批试点牵头单位，联合民营企业、科研院所、专业服务机构等共同承担 试点任务。这次试点，突出让企业"唱主角""站C位"，强调"三个注重"。 一是注重多方主体协同，凝聚工作合力。开发利用好国有企业数据资源，不能只靠国企单打独斗，需要联动多方力量，推 动协同创新，打破数据壁垒，才能实现数据效能最大化。在前期调研中，不少央国企都表示，希望能够联合各方共同做好数据 资源开发利用。这次试点，国家数据局鼓励试点牵头单位联合其他国有企业、民营企业、科研院所、第三方机构等组建合作阵 营，在数据汇聚、技术研发、平台建设、场景拓展、应用创新等方面深度协同、联合攻关，共同推进试点工作取得实效。 二是注重多源数据融合，释放多元价值。推动多源数据交互融合，有利于激活和放大潜在数据价值，促进数据要素从"局 部应用"向"全局赋能"跃升。这次试点，国家数 ...

Core Viewpoint - The introduction of Gaode Map's navigation services in Taiwan has sparked significant interest and discussion, highlighting its capabilities and user satisfaction compared to existing services like Google Maps [1][2]. Group 1: Gaode Map's Expansion in Taiwan - Gaode Map's coverage in Taiwan has been developed over time, with street-level mapping and real-time traffic updates implemented since 2022 [2]. - By May 2024, Gaode Map launched a 3D multi-perspective rendering feature, enhancing the navigation experience in Taiwan [2]. - The lane-level navigation feature was fully operational in Taiwan by June 2025, providing detailed information on traffic signals and lane conditions [2]. Group 2: User Reception and Comparison with Competitors - Users have expressed high satisfaction with Gaode Map, with some Taiwanese users stating it understands local routes better than they do [2]. - A notable shift in user preference is observed, with former Google Maps users switching to Gaode Map due to its superior localization and accuracy [2]. - The ease of navigation between mainland China and Taiwan has improved significantly, making it feel like navigating within the same city [2]. Group 3: Technological and Data Integration - The successful implementation of Gaode Map in Taiwan is attributed to a multi-source data integration approach, combining satellite imagery, user-generated data, and ground surveys [4]. - The recent launch of the "Jilin-1" satellite, capable of high-resolution imaging, supports the data needs for geographic information services in Taiwan [4][5]. - The satellite system enhances Gaode Map's capabilities, allowing for comprehensive geographic data collection and real-time updates [5]. Group 4: Future Prospects and Industry Growth - The commercial space industry in China is experiencing rapid growth, with projections indicating a rise in market value from approximately 2.3 trillion yuan in 2024 to 2.8 trillion yuan in 2025 [6]. - Gaode Map is exploring potential integrations with smart transportation and autonomous driving technologies, indicating a future expansion of its services in Taiwan [5]. - Opportunities for collaboration in location services, logistics, and tourism between the two regions are expected to increase as Gaode Map continues to optimize its offerings [5].

Investment Rating - The report indicates a strong growth potential for the industrial drone industry, with a compound annual growth rate (CAGR) of 33.33% from 2019 to 2024 globally and 33.79% in China, suggesting a positive investment outlook [8][9]. Core Insights - The industrial drone industry in China is experiencing explosive growth, becoming a core driver of the low-altitude economy, with a complete ecosystem formed across the supply chain [5]. - The global industrial drone market is projected to grow from CNY 27.6 billion in 2019 to CNY 116.3 billion by 2024, and further to CNY 269.6 billion by 2029 [8]. - Key drivers for the Chinese industrial drone market include improved policy support, rapid expansion of application scenarios, deep integration of AI technology, and accelerated integration of the supply chain [9]. Market Background - The industrial drone industry is defined as drone systems aimed at professional production, operations, or data services, characterized by stronger adaptability, payload capacity, endurance, and task extensibility compared to consumer drones [6]. - The development of industrial drones has evolved from military drone modifications to commercial applications, currently entering a phase of deepening intelligence integration with AI capabilities [7]. Market Status - The Chinese industrial drone market is expected to grow from CNY 15.18 billion in 2019 to CNY 65.07 billion by 2024, with a projected growth to CNY 171.01 billion by 2029 [8]. - The supply side of the market features differentiated competition among companies focusing on various industry scenarios, including surveying, inspection, security monitoring, agriculture, and emergency rescue [10]. Market Competition - The report identifies ten leading industrial drone brands, including DJI, Zongheng, and EHang, evaluated based on market share, model variety, and application coverage [12]. - The competition in the multi-rotor industrial drone market is intense, while the fixed-wing market is more concentrated due to higher technical barriers [13]. Development Trends - AI technology is deeply integrated into the surveying field, enabling intelligent and automated data processing, autonomous path planning, and real-time defect identification in inspection scenarios [26]. - The report highlights the fusion of multiple data sources, including satellite remote sensing and 3D laser scanning, to create an integrated regulatory system [27].

Core Insights - The research team led by Wang Shudong at the Chinese Academy of Sciences has made breakthroughs in artificial intelligence and remote sensing technology, successfully identifying optimal forage belts at kilometer scales in arid and semi-arid regions of northern China [1][3] - The results have been published in the international journal "Water Research" and are expected to provide scientific support for ecological protection in the Yellow River basin and national forage security [1] Group 1 - The team integrated satellite remote sensing, ecological hydrological models, and ground measurement data to reduce reliance on high-density ground sampling [1] - Key production factors such as irrigation water usage and vegetation productivity have been improved to over 90% accuracy through the use of ensemble learning and transfer learning techniques [1] - The introduction of regional bias correction technology has increased the accuracy of optimal forage belt identification to over 85% [1] Group 2 - Unlike traditional assessments that focus on single indicators, this technology constructs a three-dimensional collaborative optimization model of "water resource consumption - soil carbon sequestration - forage productivity" [3] - The unified evaluation system incorporates ecological, economic, and water cost factors, presenting results in a "one-map visualization" format [3] - This allows managers to directly identify priority planting areas and input-output ratios, providing precise decision-making support for resource allocation [3]

Core Insights - The State Intellectual Property Office of China has granted a patent for a system and method for road condition analysis based on multi-source data fusion to Shandong Hi-Speed Group Co., Ltd., Shandong Hi-Speed Engineering Testing Co., Ltd., and Shandong University [1] Group 1 - The patent is titled "System and Method for Road Condition Analysis Based on Multi-Source Data Fusion" [1] - The patent authorization announcement number is CN120086537B [1] - The application date for the patent was April 2025 [1]

Core Viewpoint - Moji Weather launched the AeroMetis aviation meteorological SaaS service platform, aiming to enhance safety and efficiency in the aviation industry through innovative meteorological technology [1][2]. Group 1: Product Launch and Features - The AeroMetis platform integrates multi-source data fusion and AI models to provide aviation companies with accurate meteorological insights for decision-making [1][2]. - The platform has demonstrated its value in various scenarios, such as reducing the return and diversion rate for Tibet Airlines by 5% through minute-level thunderstorm forecasting for Lhasa Airport [2]. - It also offers tailored precipitation risk adjustment suggestions 72 hours in advance for Sichuan Airlines, addressing blind spots in cumulative precipitation information at international airports [2]. Group 2: Economic Impact and Industry Applications - AeroMetis is projected to help airlines reduce return and diversion rates by approximately 10%, improve flight regularity by 8%, and enhance overall economic benefits by 10% to 15% [3]. - Moji Weather's technological capabilities extend beyond aviation, with successful applications in various sectors such as rail transportation, energy dispatch, logistics, and insurance, creating significant commercial value and social benefits [3][5]. - The company aims to continue investing in core technology research and expand its industry applications, promoting intelligent upgrades across sectors [5].

Core Viewpoint - The article highlights the successful completion of several million yuan in angel round and angel+ round financing by the aerial robotics startup "Micro Differential Flying," aimed at advancing innovation in flight embodiment intelligence and building a professional talent team in the field of aerial robotics [1]. Company Overview - Micro Differential Flying (Hangzhou) Technology Co., Ltd. was established in July 2024, focusing on creating a leading global general aerial robot embodiment intelligence brain and its cluster system to promote intelligent upgrades in industrial, urban, and natural spaces [1]. Team Composition - The founder, Professor Gao Fei, is a well-known scholar in the robotics field with over 10 years of experience, having published more than 80 high-level academic papers and achieved several international pioneering results in trajectory planning and collaborative navigation [2]. - The general manager and R&D head, Wang Yingjian, is a PhD student from Zhejiang University, specializing in multi-robot positioning and exploration, with several publications in top international journals [4]. - Core team member Liu Zhiyang holds a PhD and focuses on hydrogen fuel cell system integration, with 16 published papers and over 20 authorized patents [6]. Product Development and Business Expansion - Micro Differential Flying aims to develop a general autonomous aerial robot platform, focusing on flight embodiment intelligence, multi-source data fusion, autonomous decision-making, and machine learning [8]. - The company launched its first autonomous decision-making flight platform, the P300, just three months after its establishment. This drone is designed for autonomous exploration and mapping in unknown environments, featuring waterproof and dustproof capabilities [8][11]. - The P300 has been widely recognized for its effectiveness in various applications, including mining, forestry, chemical, construction, urban management, and emergency safety, with extensive field use across multiple provinces [11].