The design and application of landslide monitoring and early warning system based on microservice architecture
Dongxin Bai, Jingtian Tang, Guangyin Lu, Z. Q. Zhu, Taoying Liu, Fang Ji
Abstract
The establishment of monitoring and warning systems for landslide with potential instability risk is an economical and effective way to ensure life safety and reduce property losses. However, as the number of landslides and sensors increases, the amount of monitoring data generated is close to massive, and the traditional monitoring systems are gradually unable to manage and analyze the acquired data. In this study, an intelligent monitoring and early warning system and its application were developed based on microservice architecture. In this system, the functions of landslide’s project management, data reception and parsing, data analysis and early warning are distributed to multiple service instances in the form of microservice, thereby achieving the purpose of decentralizing service pressure. The application results of the system indicated that the microservice architecture could decouple components and balance distributed loads in the system, thereby reducing the difficulties of algorithm development, decentralizing calculation and service pressures and improving the service capacity of the monitoring system.