智能铺面关键技术研究现状
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1.重庆交通大学土木工程学院 2.重庆交通大学 交通土建工程材料国家地方联合工程研究中心

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U411

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国家自然科学基金青年项目


Research Status of Key Technologies for Intelligent Pavement
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1.School of Civil Engineering,Chongqing Jiaotong University 2.National and Local Joint Engineering Research Center of Traffic Civil Engineering Materials, Chongqing Jiaotong University

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    摘要:

    随着人工智能与物联网技术的飞速发展,智能铺面作为交通基础设施领域的重要创新方向,已逐渐成为研究热点。本文围绕智能铺面关键技术展开综述,涵盖了智能感知技术、数据传输技术、数据处理与分析技术以及能源自给技术等关键领域。详细阐述了感知技术中各类传感器和无损检测技术的原理、应用及局限,总结了数据传输技术中有线与无线传输技术的研究现状及存在问题,探讨了数据处理与分析技术在边坡监测、路面病害检测等方面的应用及面临的挑战,分析了能源自给技术中太阳能、压电式供能和能量存储技术的特点与优化方向。通过对这些关键技术的全面梳理,本文揭示了当前智能铺面技术面临的挑战,如传感器耐久性、数据融合、通信标准、能量效率等方面的问题。同时,展望了未来智能铺面技术的发展趋势,包括多学科融合的深度加强、智能化程度的进一步提升以及与智慧交通系统的深度融合。本文的研究旨在厘清智能铺面领域的发展现状,分析智能铺面技术未来发展方向,为交通基础设施向智能化、可持续化方向发展助力。

    Abstract:

    With the rapid development of artificial intelligence and Internet of Things technologies, intelligent pavement, as an important innovation direction in the field of transportation infrastructure,has gradually become a research hotspot. A review is conducted in this paper focusing on the key technologies of intelligent pavement, covering key areas including intelligent sensing technology, data transmission technology, data processing and analysis technology, and energy self-sufficiency technology. The principles, applications, and limitations of various sensors and non-destructive testing technologies in sensing technology are elaborated on;the research status and existing problems of wired and wireless transmission technologies in data transmission technology are summarized; the applications and challenges of data processing and analysis technology in slope monitoring, pavement disease detection, and other aspects are discussed; and the characteristics and optimization directions of solar energy, piezoelectric power supply, and energy storage technologies in energy self-sufficiency technology are analyzed. Through a comprehensive sorting of these key technologies, the current challenges faced by intelligent pavement technology are revealed, such as issues related to sensor durability, data fusion, communication standards, and energy efficiency. Meanwhile, the future development trends of intelligent pavement technology are prospected, including the deepening of interdisciplinary integration, the further improvement of intelligence level, and the in-depth integration with intelligent transportation systems. The research of this paper aims to clarify the development status in the field of intelligent pavement, analyze the future development direction of intelligent pavement technology, and provide support for the development of transportation infrastructure towards intelligence and sustainability.

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李彬,阮向伟,李迎,等. 智能铺面关键技术研究现状[J]. 科学技术与工程, , ():

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  • 收稿日期:2025-09-09
  • 最后修改日期:2026-02-08
  • 录用日期:2026-03-09
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