自去年初首期安置房项目开工建设以来，项目公司引入智能建造技术，不断刷新工程进度表。该项目采 用了自主研发、具有液压动力、智能控制、钢桁架平台等系统的智能造楼机平台，有效解决了传统施工 模架体量大、耗材多、搭设步骤繁琐、工序穿插慢等问题，具有快速周转施工、适应性好、节约工期、 提升施工质量等优点，可以实现平均每3天建成一层楼，较传统施工方法下7天建一层楼的工期大幅缩 短。 鹿颈村城中村改造项目负责人屈泉介绍，智能造楼机集成了智能布料机，可实现混凝土的定点、精准、 均匀浇筑。它搭载的喷淋养护系统能对刚刚浇筑的混凝土进行全周期、自动化淋水养护，确保其水化反 应充分，保证混凝土的强度达到最佳状态，使得项目工程的优良率提升至98%，从源头上夯实了建筑主 体的工程质量。此外，针对南方多雨、高温的天气特点，造楼机顶部专门加设了电动雨棚，营造出一个 相对封闭、稳定的高空作业环境，真正实现了 "下雨不误工、高温不停工" 。 广州建筑产业研究院集团总工程师戚玉亮表示，作为引入智能造楼机的城中村改造试点，鹿颈村项目为 后续其他城市更新项目提供了宝贵经验，未来集团将继续研发引入更多的智能建造技术，为全市城市更 新提供技术保障。 鹿颈 ...

据项目负责人介绍，该停车库为地下机械Ⅱ类汽车库，项目总建筑面积为5052.2平方米，建筑单层高2.4 米，共4层，规划3个停车单元、209个车位，由1套全自动智能停车系统控制，可实现无人值守、自动停 取、移动支付等功能。项目立体停车库通过综合利用垂直纵向空间，以"叠罗汉"的方式，将一个车位变 为多个，具有智能化、节约化等优势，可有效解决停车难题。 科技改变出行。为提高停取车效率，项目在停车区域采用全自动机械垂直升降技术，地面设置有3个车 库出入口，智能停车系统采用了"车牌+人脸识别"双识别技术，相比传统的停车卡存取车模式更加高效 便捷，司机只需按下存车键，车辆停放即开启智能全自动"托管"：入口处智慧识别系统便可自动检测车 辆信息，随后，由升降机将车辆送达至目标层入口，通过车辆搬运器与横移车密切配合，将车辆顺利入 库。取车时，可通过出口处的智慧屏幕进行人脸识别或车牌输入即可完成取车，全程用时不超过1分 钟，真正做到智慧存取、停取自如。 近日，由中铁二十二局承建的M11号线模式口站一体化地下停车库项目顺利通过竣工验收，即将上线运 营。该工程为京西首座智能地下停车库，项目投入使用后，将新增车位209个，全自动完成存 ...

（来源：沈阳日报） 转自：沈阳日报 《条例》对工程款和农民工工资的支付进行了规范。《条例》规定，建设单位应当依法向施工单位提供 工程款支付担保；建设单位与施工总承包单位依法订立书面建筑工程施工合同，应当约定工程款计量周 期、工程款进度结算办法以及人工费用拨付周期，并按照保障农民工工资按时足额支付的要求约定人工 费用。人工费用拨付周期不得超过一个月；建设单位与施工总承包单位应当将建筑工程施工合同保存备 查；建设单位应当按照合同约定及时拨付工程款，并将人工费用及时足额拨付至农民工工资专用账户， 加强对施工总承包单位按时足额支付农民工工资的监督；因建设单位未按照合同约定及时拨付工程款导 致农民工工资拖欠的，建设单位应当以未结清的工程款为限先行垫付被拖欠的农民工工资。 实行建筑工人实名制管理制度，对于规范建筑市场秩序，加强建筑工人管理，维护建筑工人和建筑企业 合法权益，具有十分重要的意义。《条例》规定，进入施工现场的建设单位、施工单位、监理单位的项 目管理人员以及建筑工人均需纳入建筑工人实名制管理范畴；上述人员在本市建筑工人实名制管理平台 登记信息后，方可被允许进入施工现场；建设单位应当按照国家有关规定与施工单位约定 ...

Group 1 - Nordecon AS has signed a contract with East Capital Park Rae OÜ for the construction of the first building and outdoor areas of the Park Rae logistics and light industrial park in Rae municipality, with a contract value of €15.8 million plus VAT and a completion timeline of 13 months [1] - Nordecon Group operates in the construction project management and general contracting sectors, focusing on buildings and infrastructures, with operations in Estonia, Ukraine, and Sweden [2] - The consolidated revenue of Nordecon Group for 2024 is projected to be €224 million, and the company currently employs approximately 425 people [2]

路宏伟介绍，已成功举办两届的江苏绿色低碳建筑国际博览会，为全省住房城乡建设领域科技创新与产业创新融合提供了有力支撑。其中，2025年博览会 以"科技点亮绿色城乡"为主题，展示规模近1.5万平方米，吸引119家中外知名企业及机构参展，举办近50场活动，接待参观交流1.7万人次，有效推动"四 链"融合发展。 具体来看，上届博览会成效凸显：在科技成果展示上，华为、中建八局等企业展出全屋智能、建筑机器人等前沿方案与装备，多维度呈现绿色低碳转型成 效；在供需对接上，芬兰通力电梯通过展会中标昆山老旧电梯更新项目96%份额，华为达成超4000万元智能家居合作，中亿丰牵头构建智能建造产业创新 集群；在金融赋能上，促成合作意向140亿元，是上届4倍，江苏银行（600919）、太平洋保险分别推出针对性金融及保险服务；在人才集聚上，依托院士 团队建言献策，搭建青年人才交流平台，4个"双碳"先导区成立技术服务站，探索人才培育新路径。 2026年1月30日下午，江苏省住房和城乡建设厅召开2026江苏绿色低碳建筑国际博览会新闻通气会，副厅长路宏伟介绍了上届博览会成效及本届筹备进 展。据悉，本届博览会以"科技创新赋能城乡高质量发展"为主题 ...

依据《中华人民共和国行政处罚法》第四十四条、第四十五条，广东省住房和城乡建设厅于2025年12月 23日向深圳建工西部建设公司发出了《行政处罚意见告知书》（粤建质告〔2025〕300号）。 依据《安全生产许可证条例》第十四条第二款和《建筑施工企业安全生产许可证管理规定》第二十三条 以及《建筑施工企业安全生产许可证动态监管暂行办法》第十四条第二款第（一）项等规定，广东省住 房和城乡建设厅决定给予该单位暂扣建筑施工企业安全生产许可证30日的行政处罚，该行政处罚自该单 位收到本决定书之日起15日内执行。依据《建筑施工企业安全生产许可证动态监管暂行办法》第十八 条，建筑施工企业安全生产许可证被暂扣期间，企业在全国范围内不得承揽新的工程项目。 天眼查显示，深圳建工西部建设公司于2021年成立，注册资本1亿元，由深圳建工控股95%控股。据了 解，深圳建工西部建设公司是深圳建工系在西部区域的核心战略平台，具备建筑工程施工总承包一级资 质，公司立足深圳西部，服务深圳、辐射湾区，已承建金众云山海公馆、阳台山小学等重点项目。 南都湾财社记者注意到，1月29日，广东省住房和城乡建设厅发布《关于深圳市建工集团西部建设 （002302 ...

Core Viewpoint - Springview Holdings Ltd has initiated its first pilot project for residential solar solutions in Singapore, marking a significant step in its sustainability strategy through collaboration with Jiangsu GSO New Energy Technology Co., Ltd [1][2]. Group 1: Pilot Project Details - The pilot project is located at 15 Jalan Nipah and aims to evaluate the economic, technical, and operational viability of rooftop solar solutions for landed residential properties in Singapore [2][3]. - A preliminary assessment indicates the potential for a solar photovoltaic system of up to approximately 60 kilowatts (kW), with an estimated daily generation of up to approximately 3.8 kilowatt-hours (kWh) per kW, leading to a potential total generation of approximately 228 kWh per day [3][10]. - The estimated monthly electricity savings from the solar generation could reach approximately S$2,000, translating to about S$24,000 annually, assuming substantial on-site self-consumption [4]. Group 2: Economic Viability - The indicative installation cost for the pilot project is approximately S$52,000, suggesting a potential simple payback period of about two to three years based on actual system performance and self-consumption levels [5]. - The project highlights the potential for rooftop solar solutions to provide significant long-term cost savings for homeowners with sustained electricity demand, in addition to environmental benefits [5]. Group 3: Collaboration and Future Plans - Under the collaboration framework, Springview will manage overall project delivery, regulatory coordination, and homeowner engagement, while GSO will provide technical expertise and engineering support [8]. - The pilot project aligns with the broader sustainability objectives of Singapore and may inform future offerings within Springview's residential design-and-build projects [7].

Group 1 - The company announced that from October to December 2025, it and its subsidiaries signed 523 new contracts with a total value of approximately RMB 5.761 billion, representing a decrease of 24.27% compared to the same period last year [1] - Among the new contracts, 76 were for housing construction with a value of RMB 3.309 billion, 102 for infrastructure projects valued at RMB 1.762 billion, 323 for specialized engineering contracts worth RMB 0.377 billion, and 22 for building decoration contracts totaling RMB 0.314 billion [1] - As of December 2025, the company and its subsidiaries had signed a total of 1,667 new contracts for the year, amounting to approximately RMB 23.858 billion, which is an increase of 13.01% compared to the same period last year [1]

Singapore, Jan. 26, 2026 (GLOBE NEWSWIRE) -- Springview Holdings Ltd. (Nasdaq: SPHL) (the “Company”), through its wholly owned operating subsidiary Springview Enterprises Pte. Ltd., today announced that it has entered into an arrangement where it has secured exclusive patent license and intellectual property (“IP”) development rights to a portfolio of proprietary drainage connection technologies for Singapore and Southeast Asia. Under the arrangement, Springview obtained exclusive, royalty-free and sublicen ...

Core Insights - The construction industry is experiencing a significant boom driven by data center projects and AI adoption, presenting both opportunities and challenges for contractors [2][3][4] Group 1: Market Opportunities - Moody's projects $3 trillion in global spending over the next five years for data center expansion to meet AI capacity demand [3] - Tech giants have committed up to $500 billion for data center construction across the U.S., indicating strong market interest and investment [4] - Smaller civil, utility, and specialty firms are finding opportunities in the infrastructure surrounding data centers, as much of the work is occurring outside the building footprint [5][11] Group 2: Impact of AI on Construction - AI is fundamentally changing how contractors estimate, schedule, and manage projects, enhancing operational efficiency [6][7] - The AGC's 2026 Outlook Survey indicates that data centers and power facilities represent the majority of project opportunities this year, while expectations for other construction areas are dampened due to economic uncertainty [7] - AI technologies and robotics have attracted $2.22 billion in funding for the built environment, reflecting investor confidence in the sector [2] Group 3: Challenges and Concerns - Despite the optimistic projections, there are concerns about a potential bubble in AI and data center investments, which could significantly impact builders if valuations decline [12][14] - Companies overly reliant on data centers may face challenges if the anticipated demand does not materialize, necessitating a pivot to other market sectors [14] - The construction industry must ensure that smaller contractors are not left behind in the AI adoption process, as they can leverage AI as a force multiplier for efficiency [20][21]