高层ICCP动态支撑系统荷载及行程自感知方法与试验
A Method and Experiment for Self-Sensing of Load and Travel in a High-Rise ICCP Active Support System
DOI: 10.12677/hjce.2026.157181, PDF,    科研立项经费支持
作者: 左自波:上海建工集团股份有限公司,上海;上海建工集团中央研究院,上海
关键词: 整体爬升平台(ICCP)动态支撑系统(ASS)荷载自感知ASS行程自感知安全控制Integral Climbing Construction Platform (ICCP) Active Support System (ASS) Load Self-Sensing Self-Sensing of ASS Travel Safety Control
摘要: 针对整体爬升平台(ICCP)的传统动态支撑系统(ASS)无法感知伸缩行程和所承载巨型ICCP的荷载而存在较高施工风险的问题,研究适用于超高层ICCP的ASS荷载及行程自感知方法。本文重点介绍荷载及行程一体化自感知的工具式ASS支撑单元硬件、ASS监测及控制系统架构和ASS状态评估与分析关键要点。以高度为356 m的超高层施工为案例,开展工具式ASS的监控试验和应用工艺研究。结果表明:该方法可实现ASS承力销荷载的自感知和伸缩行程及支撑状态的识别和控制,提高了ICCP施工的安全性,为ICCP向自主智能化和安全高效施工转变提供基础技术支撑。该方法的研究和发展可推广应用于各类爬升模架装备、塔吊支撑结构和地下工程支撑等领域。
Abstract: To address the high construction risks associated with traditional active support systems (ASSs) for integral climbing construction platforms (ICCPs) due to their inability to detect extension/retraction travels and loads from the massive ICCP structure, this study investigates a self-sensing method for load and travel in ASSs suitable for high-rise ICCPs. Specifically, it focuses on the hardware of the tool-type ASS support component with integrated load and travel self-sensing capabilities, the framework of the ASS monitoring and control system, and key aspects of ASS status evaluation and analysis. Taking a 356-meter-tall super-high-rise construction project as a case study, monitoring tests and research on application procedures for tool-type ASS are conducted. The results indicate that this method enables self-sensing of the load on the ASS load-bearing pins, as well as the identification and control of extension/retraction travel and support status. It enhances the safety of ICCP construction and provides a foundational technological basis for transitioning ICCP toward autonomous, intelligent, and safe, efficient construction. The research and development of this method can be extended to various fields, including climbing formwork equipment, tower crane support structures, and underground engineering support systems.
文章引用:左自波. 高层ICCP动态支撑系统荷载及行程自感知方法与试验[J]. 土木工程, 2026, 15(7): 84-94. https://doi.org/10.12677/hjce.2026.157181

参考文献

[1] 龚剑. 超高结构建造整体钢平台模架装备技术[M]. 北京: 中国建筑工业出版社, 2018.
[2] 左自波, 潘曦, 黄玉林, 等. 超高层ICCP安全监测与控制的预警指标研究[J]. 中国安全科学学报, 2020, 30(1): 53-60.
[3] Zuo, Z.B., Huang, Y.L., Pan, X., et al. (2021) Experimental Research on Remote Real-Time Monitoring of Concrete Strength for Highrise Building Machine during Construction. Measurement, 178, Article 109430. [Google Scholar] [CrossRef
[4] 龚剑. 超高工程施工风险数智控制技术[M]. 北京: 中国建筑工业出版社, 2024.
[5] 住房和城乡建设部. JGJ 459-2019整体爬升钢平台模架技术标准[S]. 北京: 中国建筑工业出版社, 2019.
[6] Sumali, H., Bystrom, E.P. and Krutz, G.W. (2003) A Displacement Sensor for Nonmetallic Hydraulic Cylinders. IEEE Sensors Journal, 3, 818-826. [Google Scholar] [CrossRef
[7] 郭猛. 内置磁致伸缩位移传感器的推移油缸设计[J]. 煤矿机械, 2014, 35(4): 30-31.
[8] Zhang, L., Feng, S., Luo, M. and Ji, A. (2019) A Cascaded Pushing Displacement Estimation Approach for Hydraulic Powered Roof Support Based on Multi-Segmental Kalman Filter. Current Science, 117, 1585-1597. [Google Scholar] [CrossRef
[9] Oskoui, E.A., Taylor, T. and Ansari, F. (2020) Method and Sensor for Monitoring Weight of Trucks in Motion Based on Bridge Girder End Rotations. Structure and Infrastructure Engineering, 16, 481-494. [Google Scholar] [CrossRef
[10] Jadoon, A.A., Aslam, M., Malik, M.S.A. and Alam, H. (2026) Smart IoT-Enabled Vehicle-Mounted Weighing System for Real-Time Monitoring and Quantification of Loose Construction Materials. Engineering, Construction and Architectural Management, 33, 3403-3423. [Google Scholar] [CrossRef
[11] 潘曦, 赵挺生, 黄玉林, 等. 面向超高层建筑建造的新型集成平台装备安全监控技术研究[J]. 建筑结构, 2024, 54(24): 107-116+98.
[12] 黄玉林, 张龙龙, 左自波, 等. 基于实时监测的整体钢平台模架控制技术[J]. 空间结构, 2021, 27(2): 83-89.
[13] 张龙龙, 黄玉林, 左自波, 等. 超高层巨型整体钢平台模架称重监测单元开发与试验[J]. 建筑结构, 2021, 51(S1): 2258-2264.
[14] 张龙龙. 电液比例同步系统在整体钢平台爬升中的应用[J]. 建筑施工, 2021, 43(5): 863-866.
[15] 张龙龙, 黄玉林, 左自波, 等. 超高层ICCP动态爬升变形控制试验研究[J]. 机床与液压, 2025, 53(1): 65-72.
[16] 龚剑, 黄玉林, 周红波, 等. 建筑工程施工风险监控技术研究631189305-2017YFC0805500/01 [R]. 北京: 中华人民共和国科学技术部, 2021.
[17] 黄玉林, 左自波, 张龙龙, 等. 建筑工程施工爬升模架设备安全状态监测预警及控制技术研究与工程示范631189305-2017YFC0805503/03 [R]. 北京: 中华人民共和国科学技术部, 2021.