Research on application mode of geological big data for smart cities
This paper aims at constructing an application model of"geological big data+X"to promote the low-carbon and in-tensive development of smart city construction.Application results show that:the application mode of"geological big data+BIM"can help realize the visualization of the distribution locations and scales of underground karst caves,assist the decision analy-sis of major project planning,avoid collision between construction and pipeline,and reduce the construction damage to under-ground pipelines.The maximum average settlement rate of Wanxiangcheng Subway Station in Nanning was 10.89 mm·a-1 from 2013 to 2016,with a cumulative deformation of-31.4 mm.Through the application of"geological big data+InSAR"model,it is found that the main reason for settlement is the decrease of ground bearing capacity caused by subway foundation pit excavation.The contour map of the round gravel layer thickness in the buffer radius of subway line 1 within 500 m is obtained by interpola-tion analysis of the geological big data.The thickness of the round gravel layer is more than 10 m between Qingchuan Station and Guangxi University Station.Long-term erosion by groundwater and pressure infiltration may affect the service life of the subway tunnel,necessitating enhanced monitoring of tunnel seepage.
geological big datasmart cityvisualization platformunderground space development
国家科技期刊平台
NSTL
万方数据
