陇东黄土地区高速公路监理适应性优化研究
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甘肃省交通工程建设监理有限公司

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A Study on the Adaptive Optimization of Expressway Supervision in the Longdong Loess Region
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    摘要:

    针对陇东黄土地区高速公路建设中传统监理模式在质量把控、资源分配以及现场管理等方面存在欠缺。本文以陇东黄土地区典型高速公路项目的工程实践为依据,分析黄土湿陷性处理、高边坡稳定以及黄土隧道施工监理工作的主要困境,提出了一种实时监测与数据分析的监理质量控制技术体系,构建了“总监办+移动巡查组”的监理组织架构及“一专多能”的监理模式,从人力资源动态调配和设备物资共享两个方面,形成了低投入条件下的资源优化配置方案。研究显示,将无损检测技术、北斗监测系统、无人机巡查等数字化手段跟风险管控理念相结合,通过融入监理业务流程,可有效地优化黄土地区“地质信息获取难、现场管控覆盖难、有限资源配置难”等困境。工程应用显示,此体系能让隐蔽工程验收的响应时间从平均12小时缩减到3小时内,现场巡查效率提升40%,有效降低了人力与设备资源配置成本。研究成果对提高黄土地区高速公路监理工作效率、保障工程质量、降低安全风险有一定实践价值。

    Abstract:

    Abstract: Traditional supervision models used in expressway construction in the Longdong Loess Plateau region have shortcomings in areas such as quality control, resource allocation, and on-site management. Based on engineering practices from a typical expressway project in the Longdong Loess Plateau, this paper analyzes the primary challenges in supervising loess subsidence treatment, steep slope stabilization, and loess tunnel construction. It proposes a quality control technology system for supervision that integrates real-time monitoring and data analysis, establishes a supervisory organizational structure of “Chief Supervisor’s Office + Mobile Inspection Team,” and adopts a “multi-skilled specialist” supervision model. which establishes a resource optimization plan under low-investment conditions through the dynamic allocation of human resources and the sharing of equipment and materials. Research indicates that integrating digital tools—such as non-destructive testing, the BeiDou monitoring system, and drone inspections—with risk management principles into supervision workflows can effectively address challenges in loess regions, including “difficulties in obtaining geological information, challenges in achieving comprehensive on-site control, and the complexity of allocating limited resources.” Engineering applications demonstrate that this system can reduce the response time for concealed work acceptance from an average of 12 hours to within 3 hours, increase on-site inspection efficiency by 40%, and effectively lower the costs associated with allocating human and equipment resources. The research findings hold practical value for improving the efficiency of expressway supervision in loess regions, ensuring engineering quality, and reducing safety risks.

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  • 收稿日期:2026-08-29
  • 最后修改日期:2026-08-29
  • 录用日期:2026-10-09
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