摘要
我国公路建设项目日趋增加,对具潜在失稳风险的滑坡建立监测预警系统,能够有效降低灾害损失。受制于开发难度和计算量,目前大多数系统缺乏对监测数据的深入挖掘。微服务架构旨在将功能分解到各个离散的服务中以实现对解决方案的解耦,通过微服务架构实现多种数据处理算法的分布式部署。该智能监测技术在广西乐百高速公路15标边坡的实际监测预警中得到了有效验证:微服务架构能够加快数据处理速度,提升云平台的性能,大概率提前预警滑坡灾害,对于未来边坡监测数据的深入挖掘具有重要意义。
Highway construction projects are increasing day by day in China,and establishing a monitoring and early warning system for landslides with potential instability risks can effectively reduce disaster losses.Constrained by the difficulty of development and the amount of computation,most systems currently lack the integration of in-depth mining of monitoring data.The microservice architecture aims to devide functions into discrete services to achieve decoupling of solutions.Through the microservices architecture,the distributed deployment of various data processing algorithms can be realized.This intelligent monitoring technique was used in Guangxi Lebai Expressway.It had been effectively verified in the actual monitoring and early warning of 15 standard slopes:the microservice architecture can speed up the data processing speed,improve the performance of the cloud platform,and give early warning of landslide disasters with high probability,which is of great significance for the in-depth mining of future slope data monitoring.
作者
杨磊
YANG Lei(China Railway Siyuan Survey and Design Group Co.,Ltd.,Wuhan 430063,Hubei,China)
出处
《资源信息与工程》
2023年第3期62-66,共5页
Resource Information and Engineering
关键词
滑坡监测
高速公路
微服务
地质灾害
数据处理
landslide monitoring
highway
microservice
geological hazards
data processing
