北京“智造”新动能崛起，产业升级路径聚焦新高地

Core Viewpoint - The article highlights the rapid development of intelligent manufacturing in Beijing, showcasing various companies that are leading this transformation and contributing to the city's economic growth through advanced manufacturing technologies [1][2][4]. Group 1: Intelligent Manufacturing Companies - Guanglian Technology Co., Ltd. is a pioneer in the digital construction sector, having launched the AecGPT model and an AI platform to enhance digital transformation in the construction industry [2]. - Beijing Automotive Group's subsidiary, Beijing Off-road, exemplifies intelligent manufacturing with its fully automated factory and comprehensive digital management from material delivery to vehicle assembly [2]. - Beijing Kaiyun United Information Technology Group is a leader in commercial aerospace data cataloging, integrating innovation into Beijing's development strategy [3]. Group 2: Industry Trends and Developments - The number of new energy vehicles in Beijing has reached 1.2 million, nearly tripling since the end of the 13th Five-Year Plan, with production expected to rise significantly in the coming years [4]. - The penetration rate of new passenger cars equipped with Level 2 driving assistance features reached 68.3% in the first half of the year, indicating a strong push towards smart and connected vehicles [5]. - Beijing has established a robust commercial aerospace sector, with 12 out of 21 companies valued over 10 billion yuan located in the city, and over 300 aerospace companies currently operating [6]. Group 3: Policy and Strategic Initiatives - The Beijing Municipal Government is promoting a digital transformation plan for manufacturing, aiming for a 70% CNC rate in key sectors by 2026 and the establishment of numerous smart factories and digital workshops [6]. - The city is also focusing on the integration of smart transportation infrastructure, with over 1,100 testing licenses issued for autonomous vehicles and significant mileage accumulated in autonomous driving [5].