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郑州绘就城市建设新图景
Zheng Zhou Ri Bao· 2025-11-10 01:00
Core Viewpoint - Zhengzhou is advancing its smart construction initiatives, focusing on quality improvement, cost reduction, and efficiency enhancement through a combination of new urban construction and smart building practices [1][8]. Group 1: Smart Construction Projects - Zhengzhou has established 121 pilot projects and 57 pilot enterprises in the smart construction sector by the end of September this year, fostering 16 backbone enterprises, 10 demonstration projects, and 5 smart factories [1]. - The Central Plains Science and Technology City AI Technology Park has achieved an 18% reduction in construction time, a 35% decrease in labor, and a 99% first-time acceptance rate due to the application of technologies like BIM and smart measurement robots [2]. Group 2: Policy Support - Zhengzhou has developed a comprehensive "1+N" policy support system covering the entire construction chain, with three categories of evaluation indicators and accompanying incentive policies [3]. - The city is formulating measures to support smart construction through land use, funding, tax, and credit incentives, aiming to create a multi-dimensional incentive mechanism [3]. Group 3: Digital Transformation - The digital transformation in construction is recognized as a management revolution, with companies like Henan Guojijian Construction Group implementing digital management systems that enhance approval efficiency by 80% and control project cost deviation within 3% [5]. - By the end of September, Zhengzhou has established over 10 core platforms for digital construction project management, effectively breaking down data barriers [5]. Group 4: Intelligent Factories and Technological Innovation - Intelligent factories are being rapidly developed, with examples such as Zhengzhou Baoye's steel component production line reducing labor by 80%, increasing efficiency by 25%, and lowering costs by 20% [6]. - Zhengzhou has built 14 provincial-level technology innovation platforms and is focusing on key project technology research, with significant advancements in smart construction technologies [6]. Group 5: Talent Development - Zhengzhou is constructing a robust standard and talent system for smart construction, with 11 higher education institutions and 6 vocational schools offering related programs, resulting in 1,917 enrollments from 2022 to 2024 [7]. - The city has trained over 15,000 individuals in new job roles through practical training bases and has developed a technical workforce covering the entire construction chain [7]. Group 6: Overall Progress - Zhengzhou is making strides in smart construction development through comprehensive efforts in policy, technology, digital empowerment, and talent support, creating a new landscape in urban construction from "building" to "smart manufacturing" [8].
南京北站率先应用“智能模板无人工厂”
Nan Jing Ri Bao· 2025-10-14 02:35
Core Insights - The Nanjing North Station project is showcasing advanced technology in construction, transitioning to the above-ground structural phase with a focus on smart building practices [1][2] - The project is part of the 2025 provincial intelligent construction pilot program, emphasizing efficiency and quality through the integration of various technologies [1] Group 1: Technological Integration - The project utilizes "smart template unmanned factory" for customized and mass production of templates, enhancing construction efficiency [1] - The combination of BIM technology, big data algorithms, IoT devices, and 5G communication enables intelligent design and processing of templates, increasing template utilization from 80% to over 95% [1] - Automated systems for template cutting and processing are established, allowing for unmanned operations and improved workflow [1] Group 2: Efficiency and Productivity - The processing of a single template can be completed in one minute, with a peak daily output of over 2000 square meters, equivalent to the work of 20 carpenters [2] - The project employs a "1+1+N" smart construction platform for comprehensive digital management throughout the construction process [2] - The use of construction robots, such as ground leveling and smoothing robots, significantly enhances precision, reducing the margin of error from 10mm to under 4mm, while saving 3 to 5 laborers [2] Group 3: Collaborative Construction Environment - The integration of algorithms and data creates a dynamic construction environment where human and machine collaboration is optimized under a "smart brain" system [2]
工人有了新“搭子” 中国能建建筑集团工地上演“机器人总动员”
Group 1 - The article highlights the application of advanced robotics in construction, showcasing the efficiency and precision of various robotic systems in the construction process [1][3][5] - The ground leveling robot can complete 160 square meters per hour, significantly reducing the need for manual labor, where traditionally five workers would be required [3][5] - The spraying robot achieves a spraying efficiency of 100 square meters per hour, which is four times that of manual methods, while the putty polishing robot operates at 50 square meters per hour, exceeding traditional efficiency by over 1.5 times [5][8] Group 2 - The article mentions the use of drones equipped with infrared thermal imaging and AI recognition for safety inspections on construction sites, enhancing monitoring capabilities [8] - Welding robots are noted for their high stability and efficiency, particularly in hazardous environments, indicating a trend towards automation in dangerous tasks [8] - The company is recognized as a pilot enterprise for digital transformation and smart construction, emphasizing its commitment to integrating new technologies and training young technical talent [8]
【图片新闻】 建筑机器人比赛暨展览在香港举行
Zheng Quan Shi Bao· 2025-07-31 22:23
Core Viewpoint - The event showcased advanced construction robots, highlighting the growing importance of automation in the construction industry [1] Group 1: Event Overview - The construction robot competition and exhibition was held on July 31 in Hong Kong [1] - The event was organized by the Hong Kong Construction Industry Council and the Guangdong-Hong Kong-Macao Intelligent Construction Industry Development Alliance [1] Group 2: Technology Showcase - Over 15 advanced robots were displayed, including welding robots, drilling robots, and ground leveling robots [1] - A notable exhibit was the tile laying robot, demonstrating the capabilities of automation in construction tasks [1]
国电南瑞江宁基地主体结构封顶
Nan Jing Ri Bao· 2025-07-20 23:39
Group 1 - The project at Guodian NARI Jiangning Base aims to enhance construction efficiency through the use of various robots, including ground leveling robots and installation robots, as part of the 2025 Nanjing intelligent construction pilot program [1][2] - The total construction area of the project is 97,912 square meters, which includes dormitory buildings and supporting facilities [1] - The robots employed in the project utilize laser positioning systems and intelligent control technology to improve the precision of construction tasks, eliminating the need for secondary leveling processes [1] Group 2 - The project incorporates an intelligent construction engineering command center that features management platforms for production, quality, and equipment, allowing for real-time monitoring of project progress and safety [2] - AI algorithms combined with monitoring equipment enable remote supervision of the construction site, shifting safety management from post-event accountability to proactive prevention [2] - Guodian NARI's implementation of this project is intended to modernize the Jiangning Base's production and living facilities, thereby enhancing talent attraction and boosting the company's technological innovation and market competitiveness [2]
再升级 杭州智筑AI来了!
Hang Zhou Ri Bao· 2025-06-25 02:38
Core Viewpoint - The article discusses the advancement of intelligent construction in Hangzhou, highlighting the need for top-level design and collaboration among various stakeholders to enhance the quality and efficiency of the construction industry [4][5][6]. Group 1: Intelligent Construction Development - Hangzhou's intelligent construction projects span multiple sectors including healthcare, transportation, and municipal construction, covering the entire lifecycle from design to operation [5]. - The city is drafting guidelines to accelerate intelligent construction and will enhance collaboration among departments to implement supportive policies [6]. - The introduction of the "Hangzhou Zhizhu AI" aims to address industry challenges such as fragmentation and information overload by integrating advanced technologies and providing real-time policy interpretation [6][7]. Group 2: Industry Challenges and Solutions - The construction industry faces common issues like fragmented systems and lack of professional services, which hinder efficiency and innovation [6]. - The "Hangzhou Zhizhu AI" is designed to serve as a powerful digital support tool for industry practitioners, offering insights into policies and market trends [7]. Group 3: Investment and Technological Advancements - Companies like Zhejiang Construction Group are prioritizing intelligent construction, investing over 1 billion yuan in technology research and equipment upgrades [8]. - The application of automation technologies, such as drones and BIM, has reached a coverage rate of 70% in key projects [8]. Group 4: Workforce Transformation - The average age of labor workers is increasing, prompting a shift towards "human-machine collaboration" to enhance safety and efficiency in construction [9]. - The establishment of the intelligent construction branch by the Hangzhou Construction Industry Association aims to foster deep communication and collaboration among leading companies [9]. Group 5: Talent Development - The city is focusing on integrating education, research, and industry to cultivate high-quality application-oriented talent in intelligent construction [10]. - Initiatives will include establishing training bases and conducting vocational skills training to enhance the workforce's capabilities in intelligent construction [10].