我国工程勘察数字化的发展

    THE DEVELOPMENT OF DIGITALIZATION IN ENGINEERING INVESTIGATION IN CHINA

    • 摘要: 工程勘察数字化是指将计算机技术、信息技术、传感器技术、人工智能(AI)等现代数字手段,全面融入工程勘察的全过程,其核心目标是通过技术革新,提升勘察效率、数据精度和决策科学性。为梳理我国工程勘察数字化的发展脉络,本文综合运用了文献综述、资料收集、企业调研等方法,并紧密结合团队工程实践经历。研究发现,我国工程勘察数字化伴随着计算机及数字化技术的不断进步而发展,可划分为4个阶段:起步期(20世纪60年代~2000年)、成长期(2000~2010年)、发展期(2010~2020年),并于2020年后进入融合期。当前,数字化技术已显著驱动工程勘察钻探与原位测试、土工试验等环节的进步,全国范围内多点开花,涌现一大批成熟稳定的勘察全过程数字化平台,服务于勘察数据采集、数据分析与表达、质量监管和数据管理。一些勘察企业依托数字化能力开拓了新型工程数字化业务。展望未来,工程勘察数字化的发展将呈现学科交叉、技术融合、数据集成及人工智能深度应用等特征,将构建“空-天-地-孔”立体化数据采集体系,实现数据的互联互通并集成至勘察数据平台,最终基于人工智能技术服务于多种工程勘察应用场景。

       

      Abstract: Digitization of engineering investigation refers to the comprehensive integration of modern digital technologies—such as computer science, information technology, sensor systems, and artificial intelligence(AI)—into the entire engineering investigation process. Its core objective is to enhance investigation efficiency, data accuracy, and scientific decision-making through technological innovation. To outline the development of digital engineering investigation in China, this paper employs literature review, data collection, enterprise surveys, and practical experience from team-based engineering projects. It is observed that the digitization of engineering investigation in China has evolved alongside advances in computer and digital technologies, progressing through four main phases: the initial stage(1960 s-2000), the growth stage(2000-2010), the development stage(2010-2020), and the integration stage(post-2020). Currently, digital technologies significantly drive progress in investigation drilling, in-situ testing, and geotechnical laboratory testing. Numerous stable and mature digital platforms supporting the full investigation workflow have emerged nationwide, serving data collection, analysis and visualization, quality supervision, and data management. Some enterprises have even developed new digital engineering services based on these capabilities. Looking ahead, the digitization of engineering investigation will increasingly reflect interdisciplinary integration, technology convergence, data interoperability, and the deep application of artificial intelligence. An integrated"space-air-ground-borehole" three-dimensional data acquisition system will be established to enable data interconnection and convergence within unified investigation platforms, ultimately supporting diverse engineering investigation scenarios powered by AI technology.

       

    /

    返回文章
    返回