隧道沥青路面无人化智慧施工均质化应用研究

Research on Homogenization Application of Unmanned Intelligent Construction of Tunnel Asphalt Pavement

摘要:

为破解隧道内沥青路面施工普遍存在数字化监控信号弱、施工空间狭小及常规有人施工均质化不足等难题，开展了隧道无人化智慧施工技术应用研究，基于数字化监控技术，采用PWL（允许限值内百分率，Percent Within Limits， PWL）评价方法对沥青混合料拌和运输、摊铺碾压施工进行评价。结果表明，沥青混合料施工关键参数数字化监控PWL质量评分均达到90以上，与常规有人施工相比，无人化智慧施工工后理论压实度和构造深度指标检测变异系数均较小，PWL质量评分为100，验证了无人化智慧施工有助于均质化控制，为无人化智慧施工在隧道沥青路面规模化应用提供了理论依据。

Abstract:

In order to solve the common problems in asphalt pavement construction in tunnels, such as weak digital monitoring signals, small construction spaces, and insufficient homogenization of conventional manned construction, the research on the application of unmanned smart construction technology in tunnels is carried out. Based on digital monitoring technology, the PWL (percent within limits) evaluation method is used to evaluate the asphalt mixture mixing and transportation, paving and rolling construction. The results show that the PWL quality scores of the digital monitoring of key parameters of asphalt mixture construction have reached above 90. Compared with conventional manned construction, the variation coefficients of theoretical compaction and structural depth index detection after unmanned smart construction are smaller, and the PWL quality score is 100, which verifies that unmanned smart construction is helpful for homogenization control and provides a theoretical basis for the large-scale application of unmanned smart construction in tunnel asphalt pavement.