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摘要
智能感知技术在公路边坡稳定性监测中的应用逐渐显现出其巨大的潜力和实际价值。首先引述了边坡稳定性问题对交通安全的影响以及目前该问题面临的挑战。接下来,我们采用了智能感知技术,主要包括物联网技术、大数据分析、云计算等,进行公路边坡的实时监测和破坏预警。结果表明,该方法可以有效监测边坡地质构造、构造面倾角、边坡裂缝等数个关键参数,通过数据实时采集和智能分析,可以预测边坡可能发生滑动的时间和滑动量,从而提前预警,确保公路行车安全。最后,分析了智能感知技术的广泛应用将对公路边坡稳定性监测产生重要影响,不仅改变了传统监测方式,提高了监测精度,同时也对公路建设和运营提供了科学依据。这一研究成果对于公路边坡稳定性的提高有着十分重要的指导意义。
Abstract
The application of intelligent sensing technology in highway slope stability monitoring has gradually shown its great potential and practical value. Firstly, the impact of slope stability problems on traffic safety and the current challenges are cited. Next, we adopted intelligent sensing technology, mainly including Internet of Things technology, big data analysis, cloud computing, etc., for real-time monitoring and damage early warning of highway slope. The results show that this method can effectively monitor several key parameters such as slope geological structure, structural slope inclination, slope crack, etc. Through real-time data collection and intelligent analysis, it can predict the time and amount of slope sliding, so as to give early warning and ensure the safety of road driving. Finally, it analyzes that the wide application of intelligent sensing technology will have an important impact on the stability monitoring of highway slope, which not only changes the traditional monitoring method and improves the monitoring accuracy, but also provides a scientific basis for highway construction and operation. This research result is of great guiding significance for the improvement of highway slope stability.
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迪丽拜·地力木拉提.
智能感知技术在公路边坡稳定性监测中的应用研究[J].
公共交通与建设, 2025, 4(2): 67-69 DOI:10.12349/ptc.v4i2.5564
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