基于天地一体化多源状态感知技术的高速公路关键基础设施监控预警研究

Research on Monitoring and Early Warning of Highway Critical Infrastructure Based on Space-ground Integrated Multi-source State Awareness Technology

本研究基于决策级融合方法建立公路工程多源数据预警模型架构,并成功应用于高边坡等为代表的天地一体化监测预警试点工程中。本项目采用INSAR+地表传感器的智能感知系统来实现智慧高速全线基础设施的状态感知,并基于多源数据融合进行预警分析。整个系统平台可分为数据采集、数据分析和数据应用三部分,其中数据采集主要是利用高分辨率雷达卫星、北斗卫星以及地表传感系统进行数据采集;采集的数据通过无线低功耗广域网(LPWAN)和5G传输至云平台进行数据处理;处理完的数据将通过终端进行应用和展示,实现了“对症勘设计”“靶向管养”等成果应用工作。

In this study,a multi-source data early warning model architecture for highway engineering was established based on the decisionlevel fusion method,and it was successfully applied to the pilot project of space-ground integrated monitoring and early warning represented by K53 high slope.This project adopts the intelligent perception system of INSAR+surface sensors to realize the status perception of intelligent high-speed infrastructure,and conducts early warning analysis based on multi-source data fusion.The whole system platform can be divided into three parts:data acquisition,data analysis and data application,of which data acquisition is mainly carried out by using high-resolution radar satellites,Beidou satellites and surface sensing systems;The collected data is transmitted to the cloud platform for data processing through wireless low-power wide area network(LPWAN)and 5G.The processed data will be applied and presented via the terminal.It has realized the application of"symptomatic survey design"and"targeted custody"and other achievements.