Design And Implementation Of Pseudo Satellite Data Monitoring Cloud Platform

There are many mountains in China,and landslide accidents often occur,causing non-negligible losses to the people's lives,property,social stability and the national economy.According to statistics,the loss caused by landslides is second only to earthquakes and floods,and landslides are a geological disaster that cannot be ignored.In view of the high cost of traditional landslide monitoring engineering methods,the difficulty of large-scale monitoring technology,the lack of system stability,and the low level of intelligence and informationization,this paper combines pseudo-satellite positioning related technology and develops pseudo-satellite data monitoring using cloud computing technology.The cloud platform described in this paper is divided into three parts,which are the monitoring node based on pseudo-satellite positioning system,the back-end monitoring service module and the user data monitoring terminal module.Each module is responsible for different functions of the cloud platform,and the combination of the three functions realizes the collection,transmission,processing and display of monitoring data.The monitoring node of the cloud platform is collected by the pseudolite positioning system.The current pseudo-satellite positioning technology can not only realize flexible networking,but also achieve higher positioning accuracy.As the core part of the system,the cloud platform back-end data monitoring service module can support a large number of monitoring nodes at the same time,and can realize the functions of storing,processing and early warning of data.Based on the implementation of the function,the architecture is specifically optimized to provide smooth,low-latency services in high-concurrency and high-speed IO scenarios.The user data monitoring terminal is designed for the client's client and the mass-oriented mobile application.The two applications not only provide a good data monitoring interface,but also are easy to operate and can easily obtain key data.For the deployment of the cloud platform,the traditional deployment method is adopted in the most popular way in the industry,and the number of nodes increases,resulting in insufficient resources of the cloud service instance.The Swarm mode distributed cluster processing solution using Docker is proposed.It realizes the need to meet more monitoring nodes by simply adding cloud platform server instances.