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南京7家企业入选省级智能建造试点
Nan Jing Ri Bao· 2026-01-13 03:48
Core Insights - Jiangsu Province's Housing and Urban-Rural Development Department has announced the second batch of pilot enterprises for intelligent construction, with Nanjing having 7 enterprises selected, bringing the total to 22 at the provincial level [1][2] Group 1: Intelligent Construction Pilot Enterprises - Among the selected enterprises, China Communications Construction Company First Engineering Co., Ltd. has established a comprehensive project management platform, BIM collaborative management platform, and smart construction site supervision platform, forming a complete ultra-high-rise BIM standard system [1] - The intelligent management information platform of the company constructs a "1 enterprise-level data center + N scenario-level applications" high-perception smart construction site system, covering seven core business scenarios including progress, safety, and quality [1] - The virtual construction system allows for visual simulation of complex construction processes, significantly reducing information omissions or misunderstandings that may occur due to traditional verbal communication, thereby effectively enhancing team efficiency [1] Group 2: Innovations in Construction Technology - The first intelligent construction machine for affordable housing in Nanjing has been introduced at the project site on Jinyan Road, which transforms traditional decentralized operations into modular collaboration, reducing the standard floor construction cycle to 4 days per floor and improving efficiency by approximately 30% [1] - Nanjing Jianpu Software Co., Ltd. is actively developing and applying construction robots and intelligent equipment, significantly advancing the development of intelligent management information platforms to enhance project construction quality and refined management levels [1] Group 3: Integrated Management Platforms - The project-level intelligent construction integrated management platform developed by enterprises serves all participating units in engineering projects, achieving an efficient collaborative management model [2] - This platform has been applied in several pilot demonstration projects, including the Yangtze River Wisdom Center and the first phase of the China University of Mining and Technology Alumni Economic (Nanjing) Industrial Innovation Park, implementing visual, comprehensive, and refined management [2] Group 4: Robotics in Construction - The first pilot enterprise for construction robot-assisted labor is Nanjing Shangyang Construction Engineering Co., Ltd., which has shifted from traditional labor delivery to deploying construction robots on-site, promoting human-machine collaboration and continuously enhancing mechanization and intelligence in construction [2] - Nanjing, as a national pilot city for intelligent construction, has achieved significant results in institutional guarantees, policy support, pilot cultivation, technology promotion, and process supervision, forming a set of replicable and promotable practical experiences [2] - A total of 13 practices have been recognized by the Ministry of Housing and Urban-Rural Development and included in the national list of replicable experiences for the development of intelligent construction, contributing the "Nanjing solution" to the comprehensive promotion of intelligent construction development [2]
科技加持让城市焕新貌 “数字建造”好房子“多点开花”释放强大潜力
Yang Shi Wang· 2025-10-31 05:37
Core Insights - The theme for the 2025 World Cities Day in China is "People's City, Smart Future," highlighting the transformative impact of technology on urban development [1] - The Ministry of Housing and Urban-Rural Development reports significant advancements in smart construction during the 14th Five-Year Plan, with numerous advanced technologies and new materials being applied to promote high-quality urban development [1][3] Smart Construction Progress - By 2025, 24 cities including Beijing, Tianjin, and Chongqing will conclude their pilot programs for smart construction, with positive progress and results achieved in expanding application scenarios and nurturing new industries [3] - Notable innovations include digital design, intelligent production, smart construction, and building robots, which enhance construction efficiency and safety [4] Technological Integration - The integration of technologies such as Building Information Modeling (BIM) and construction robots has become widespread in major projects, improving precision and efficiency while ensuring safety [4] - The collaboration between smart construction and green low-carbon initiatives has led to significant energy-saving renovations, with approximately 800 million square meters of existing buildings upgraded since the start of the 14th Five-Year Plan [4] 3D Printing and Customization - The application of 3D printing technology in construction is revolutionizing production methods, allowing for personalized designs at lower costs [6][9] - The "Xiong'an Wing" cultural theater, the world's largest 3D-printed building, showcases the potential of 3D printing in creating unique architectural features [7] Smart Construction Equipment - Various intelligent equipment, such as building machines and collaborative robots, are increasingly utilized on construction sites, enhancing efficiency and reducing noise [10][12] - Advanced technologies like 5G-enabled tower cranes allow for remote operation and comprehensive monitoring, improving safety and operational efficiency [17] Urban Development and Global Perception - The ongoing urban renewal in China reflects a shift from focusing solely on infrastructure to prioritizing human-centered design, enhancing livability and community warmth [20][22] - Foreign observers note the rapid construction pace and high quality of urban architecture in China, which blends traditional cultural elements with modern design [22]
人工智能时代土木类高校育人与就业协同转型路径探析
Xin Hua Ri Bao· 2025-10-20 03:26
Core Insights - The rapid development of artificial intelligence is profoundly reshaping the civil engineering industry, transitioning it from traditional construction models to intelligent construction systems [1][2] - The integration of AI technologies is creating new opportunities and challenges, necessitating a reevaluation of talent cultivation and educational frameworks in response to evolving industry demands [2][3] Group 1: Industry Transformation - AI technology is disrupting traditional operational models in the civil engineering sector, with applications such as Building Information Modeling (BIM) enabling digital management throughout the project lifecycle [2] - The emergence of new roles like intelligent design engineers and digital twin technology specialists is creating a demand for professionals with a combination of strong foundational knowledge and advanced digital skills [2] - Structural contradictions are becoming more pronounced, as traditional construction methods struggle to adapt to new intelligent equipment, leading to inefficiencies in some companies [2][4] Group 2: Educational Challenges - The existing knowledge framework in higher education is outdated, with insufficient integration of digital content in core professional courses, resulting in graduates lacking modern technical skills [4] - There is a disconnect between practical engineering education and real-world applications, with limited opportunities for students to engage with intelligent equipment and digital project management [4] - Current career guidance systems are not aligned with industry transformations, focusing primarily on traditional job application skills rather than emerging fields like intelligent construction and green building [4] Group 3: Strategic Opportunities - The synergy between new urbanization initiatives and carbon neutrality goals is injecting new momentum into the civil engineering industry, fostering rapid growth in areas like prefabricated buildings and smart cities [3] - Professionals equipped with skills in intelligent design, digital construction management, and sustainable building technologies are becoming key drivers of high-quality development in the sector [3] Group 4: Pathways for Educational Reform - A dynamic curriculum adjustment mechanism is needed to integrate intelligent construction technology into existing courses while maintaining core subjects like mechanics and structural design [5] - Establishing a blended practical training platform that combines virtual simulation with real-world engineering projects can help bridge the gap between theory and practice [5] - Developing a smart employment service system that utilizes big data to provide personalized career development advice is essential for aligning educational outcomes with industry needs [6]
安永专家:具身智能行业的最大瓶颈是规模化商业落地
Core Insights - The embodiment intelligence sector is experiencing rapid development, with significant breakthroughs in certain areas leading to large-scale applications [1][2] - The main challenge facing the industry is the commercialization and sustainability of these technologies, particularly in efficiently and cost-effectively applying them in real-world scenarios [1] Industry Overview - The core of embodiment intelligence technology lies in the deep integration of artificial intelligence with the physical world, enabling robots to autonomously perceive and make decisions in complex environments [1] - Industries with clear market demand, strong growth potential, and high technical adaptability are expected to benefit the most from embodiment intelligence technology, such as construction and energy sectors [1] Market Trends - A recent evaluation by Ernst & Young and Fudan University recognized 26 companies as "Most Promising Enterprises," with 14 of them from the embodiment intelligence sector, focusing on areas like household services and collaborative robots in manufacturing [2] - The embodiment intelligence industry in China has established a complete supply chain, from core components to application scenarios, with Shenzhen being a key hub for hardware supply [2] Technological Advancements - Significant advancements in core technologies for embodiment intelligence hardware include dexterous hands and high-precision joints, while software improvements focus on multi-modal perception algorithms [2] Investment Climate - The recent surge in IPO activities among embodiment intelligence companies indicates a trend towards higher transparency and governance standards, which can enhance investor confidence and reduce governance risks [2] - The primary market's financing enthusiasm is expected to continue for some time, as embodiment intelligence companies are still in critical stages of technology validation and application promotion [2]