基于天通一号通信卫星的云计算监控系统研究

Research on Cloud Computing Monitoring System Based on Tiantong-1Communication Satellite

随着监控距离的增长以及监控数据量的增大,使得监控系统在传输数据时经常发生拥塞、数据丢包等问题,导致监控结果不准确。针对上述问题,设计了一种基于天通一号通信卫星的云计算监控系统。基于MVC架构设计云计算监控系统的框架结构,包括数据采集层、通信层、业务处理层以及显示层四个层次。传感器采集数据后,在拥塞控制算法的控制下利用天通一号通信卫星将数据发送到监控终端,运行监控终端处理器实现数据挖掘与分析,判断监控目标是否发生异常。结果表明:该系统不仅更加适用远距离监控,同时面对大量数据,传输性能和监控准确性能良好,使传统监控系统性能得到了明显改善。

With the increase of monitoring distance and the amount of monitoring data, the monitoring system often suffers from congestion and packet loss when transmitting data,resulting in inaccurate monitoring results. To solve the above problems, a cloud computing monitoring system based on Tiantong-1 communication satellite is designed. The framework of cloud computing monitoring system is designed based on MVC architecture, including data acquisition layer, communication layer, business processing layer and display layer. After the sensor collects data, under the control of congestion control algorithm, tiantong-1 communication satellite is used to send the data to the monitoring terminal, and the monitoring terminal processor is run to realize data mining and analysis to judge whether the monitoring target is abnormal. The results show that under the condition of distance growth, the designed system is used to transmit and mine 500 data packets, and the performance of the four indexes of the designed system is good, including effective throughput, fairness index, packet loss rate and F1value. It shows that the designed system is not only more suitable for long-distance monitoring, but also has good transmission performance and monitoring accuracy in the face of a large amount of data, which improves the defects of the traditional monitoring system.