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佀传琪, 王琛, 梁家馨, 华建, 梁发云. 智慧化技术在城市滨海软土工程的应用前景与挑战[J]. 岩土工程学报, 2024, 46(S2): 216-220. DOI: 10.11779/CJGE2024S20045
引用本文: 佀传琪, 王琛, 梁家馨, 华建, 梁发云. 智慧化技术在城市滨海软土工程的应用前景与挑战[J]. 岩土工程学报, 2024, 46(S2): 216-220. DOI: 10.11779/CJGE2024S20045
SI Chuanqi, WANG Chen, LIANG Jiaxin, HUA Jian, LIANG Fayun. Application prospects and challenges of intelligent technology in urban coastal soft soil engineering[J]. Chinese Journal of Geotechnical Engineering, 2024, 46(S2): 216-220. DOI: 10.11779/CJGE2024S20045
Citation: SI Chuanqi, WANG Chen, LIANG Jiaxin, HUA Jian, LIANG Fayun. Application prospects and challenges of intelligent technology in urban coastal soft soil engineering[J]. Chinese Journal of Geotechnical Engineering, 2024, 46(S2): 216-220. DOI: 10.11779/CJGE2024S20045

智慧化技术在城市滨海软土工程的应用前景与挑战

Application prospects and challenges of intelligent technology in urban coastal soft soil engineering

  • 摘要: 在城市建设高质量发展阶段,滨海地区面临迫切的城市更新需求。这类地区通常环境敏感复杂,传统的软土工程数据采集与分析手段往往需借助大量的人力、物力,且难以保证大范围、高效率、不间断地执行,智慧化技术成为解决这一问题的重要手段。梳理了智慧化技术在数据感知、智能预测和可视化交互3方面的现状,分别对比总结了接触式、非接触式感知技术,大数据分析与参数化建模方法,数字孪生与交互式平台,及其在软土工程中的应用与挑战,为深入理解智慧化技术的内涵及应用前景提供支持,助力行业新质生产力发展。

     

    Abstract: Due to the high-quality urban development, the coastal areas are confronted with demands for urban renewal. These regions typically exhibit environmental sensitivity and complexity, while the conventional approaches often rely on manpower and resources, making it arduous to ensure extensive coverage, high efficiency and uninterrupted implementation. Consequently, the intelligent technology has emerged as a crucial means to tackle this issue. This study provides an overview of the current state of the intelligent technology in three key aspects: data perception, intelligent prediction, and visual interaction. The applications and challenges of contact and non-contact measurements, big data analysis and parametric modeling as well as the digital twin and interactive platform in soft soil engineering are summarized. It aims to facilitate a comprehensive understanding of the essence of the intelligent technology and its prospects while contributing towards fostering new quality productive forces.

     

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