LoRa技术在公路边坡监测中的应用研究

Application Study on LoRa Technology in Highway Slope Monitoring

山区公路边坡孕育复杂的地质灾害,严重影响公路的安全运营,实时监测边坡变形发育特征对评价山体稳定性意义重大。偏远山区网络信号差,难以实现监测数据实时传输回后台。本文介绍了LoRa(Long Range Data Transmission,超长距低功耗数据传输)技术在无线监测中的优势和可行性,依托基于LoRa技术数据传输的深部位移监测系统,实现对西南山区某高速公路边坡变形远程自动化监测,获取边坡应急加固处治前后的深部变形数据,对比地表和深部变形人工监测成果,结果表明:LoRa数据传输技术能有效解决了偏远山区网络信号差条件下的监测数据回传问题,监测系统具有数据分辨率高、稳定性好,监测点覆盖面广、易于实现远程操控等优越性。

Highway slopes breed complex geological disasters,which seriously affect the safety of highways.Real-time monitoring of slope deformation characteristics is of great significance to the evaluation of mountain stability.However,the poor network signal in mountain areas makes it difficult to transmit monitoring data back to the data platform.This paper introduces the advantages and feasibility of long-range data transmission technology(LoRa)in mountain wireless network monitoring,and relying on the deep displacement monitoring system based on LoRa technology to achieve remote automatic monitoring of the slope deformation of an expressway in the southwest mountainous area of China,the deep deformation data before and after the emergency reinforcement treatment of the slope is obtained,and the data of surface and deep displacement manual monitoring are compared.The results show that LoRa technology can effectively solve the problem of monitoring data return under poor network signal conditions in remote mountainous areas,and the system has high resolution and good stability of monitoring data.It has wide coverage of monitoring points and easy to realize remote monitoring.