当前位置: X-MOL 学术Geomat Nat. Hazards Risk › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Development of tunnel intelligent monitoring and early warning system based on micro-service architecture: the case of AnPing tunnel
Geomatics, Natural Hazards and Risk ( IF 4.5 ) Pub Date : 2020-01-01 , DOI: 10.1080/19475705.2020.1797906
Qi Liu 1 , Guangyin Lu 1 , Junrong Huang 1 , Dongxin Bai 1
Affiliation  

Abstract Along with the development of computer science and communication techniques, tunnel monitoring has been digital and intellectualized gradually. In recent years, traditional tunnel monitoring systems have been becoming powerless to deal with huge amounts of data as the number of tunnels and monitoring sensors surge. In this study, an innovative and comprehensive intelligent tunnel monitoring system was designed based on micro-service architecture. Various function modules were distributed to multiple service instances to get the computing pressure decentralized. The system offered powerful massive data processing support, flexibility, and extensibility. For a certain tunnel, the system could acquire the monitoring data in real-time using wireless sensors deployed on its surface. When data reached the early warning threshold, the system would immediately transmit the warning message to users. Besides, an app was developed to offer support for wireless communication between the monitoring apparatus and watchers. The application of the Anping case, one of the monitoring targets, proved the high efficiency of data transmitting and effective emergency response of the developed system. The results indicated that the microservice architecture could facilitate algorithm development, decentralize calculation pressure, and promote the service capacity by decoupling components and distributing loads.

中文翻译:

基于微服务架构的隧道智能监控预警系统开发:以安平隧道为例

摘要 随着计算机科学和通信技术的发展,隧道监测逐渐数字化、智能化。近年来,随着隧道和监控传感器数量的激增,传统的隧道监控系统已经无法处理海量数据。本研究基于微服务架构设计了一个创新的综合智能隧道监控系统。将各种功能模块分布到多个服务实例,分散计算压力。系统提供了强大的海量数据处理支持、灵活性和可扩展性。对于某条隧道,系统可以通过部署在隧道表面的无线传感器实时获取监测数据。当数据达到预警阈值时,系统会立即将警告信息传送给用户。此外,还开发了一个应用程序来支持监控设备和观察者之间的无线通信。监测对象之一的安平案例的应用证明了所开发系统的数据传输效率高和应急响应有效。结果表明,微服务架构可以通过组件解耦和负载分配,促进算法开发,分散计算压力,提升服务能力。证明了所开发系统的高效率数据传输和有效的应急响应。结果表明,微服务架构可以通过组件解耦和负载分配,促进算法开发,分散计算压力,提升服务能力。证明了所开发系统的高效率数据传输和有效的应急响应。结果表明,微服务架构可以通过组件解耦和负载分配,促进算法开发,分散计算压力,提升服务能力。
更新日期:2020-01-01
down
wechat
bug