工程勘察；测绘服务；出版物零售；工程咨询；工程测量；房产测绘；技术检测；专业承包；环境污染防治工程；环境监测；地质勘查；工程造价咨询；工程预算审计；技术开发、技术咨询、技术转让、技术服务；工程勘察技术培训；销售计算机、软件及辅助设备、五金交电（不含电动自行车、不从事实体店铺经营）、电子产品、机械设备；仪器仪表维修；软件开发。（市场主体依法自主选择经营项目，开展经营活动；出版物零售以及依法须经批准的项目，经相关部门批准后依批准的内容开展经营活动；不得从事国家和本市产业政策禁止和限制类项目的经营活动。）
On September 5,2022,an MS6.8 earthquake occurred in Luding County,Ganzi Prefecture,Sichuan Province,China,causing extensive damage.The scientific expedition team of the Institute of Geophysics of the China Earthquake Administration investigated the damage caused by the earthquake in several terrace hydropower stations on the main stream of the Dadu River and nearby areas.It was determined that the cascade power stations ware less affected by the earthquake and that normal operation was not affected.Using the empirical Green's func-tion method and considering the uncertainty characteristics of the seismic source parameters,the ground motion ac-celeration time histories were estimated for a reasonable range of three typical locations in the seismic region:the Shimian Caluo area(termed location 1),the Xingkang Expressway bridge area in the Dadu River basin(termed loc-ation 2),and the area near the historical seismic ancient landslides(Mogangling,termed location 3).The prelimin-ary results showed that:buildings at locations 1 and 3 may be destroyed by an earthquake of this strength,whereas the bridges in location 2 are less likely to be destroyed.Here,combining the results of the disaster investigation,the seismic network built by the key engineering project,and the results of the rapid estimation of the ground motion at typical locations,we consider the feasibility of applying the Green's function library based on the waveforms of ac-tual small earthquakes in key project areas.
At present, each city is gradually establishing a database of pipeline network facilities, but at present, the changes of urban pipelines are still recorded in paper forms. This recording method causes the data to be chaotic and easy to lose, and it is troublesome to update the database, which brings certain difficulties to the daily operation and maintenance of the pipeline network..Aiming at the above problems, this paper proposed a method for dynamically updating the pipeline network based on cloud database. This method could collect and change the attribute information of the pipeline network on the spot and update the pipeline network database in real time through the mobile terminal data acquisition platform, and update the pipeline network with the spatial location information of the pipe network, and the attribute topology logic analysis, editing and storage of the updated pipe network through the desktop terminal data processing platform.. The experimental results showed that this method could greatly improve the dynamic update efficiency of the pipeline network, and greatly guaranteed the accuracy, current situation and reliability of the pipeline network data.
