基于PIO算法的海量用电数据协同交互系统设计

Design of collaborative interactive system for massive power consumption data based on PIO algorithm

针对当前使用的边缘计算方法、OpenFlow协议受到海量用电数据随机不确定性因素的影响,导致数据协同交互结果与实际情况不一致的问题,设计了基于PIO算法的海量用电数据协同交互系统。利用可信平台控制计算平台服务器,形成完整的业务系统。通过配置大屏幕显示器,即时显示所需数据。设计智能协同蜜网结构,避免出现网络传输时延问题。根据海量用电数据协同交互过程中的全局最优输出流程,确定最佳输出群体,并得到满足终止条件的交互数据。设计协同交互流程,将数据转换为实体,实现海量电力数据的交换。由实验结果可知,该系统数据吞吐量与实际吞吐量一致,时延也在允许变化范围值附近波动,说明数据协同交互结果与实际情况一致。

Aiming at the problem that the current edge computing method and OpenFlow protocol are affected by the random uncertainty of massive power consumption data,resulting in the inconsistency between the data collaborative interaction results and the actual situation,a massive power consumption data collaborative interaction system based on PIO algorithm is designed. The trusted platform is used to control the computing platform server to form a complete business system. The required data can be displayed in time by configuring a large screen display. The intelligent cooperative honeynet structure is designed to avoid the problem of network transmission delay. According to the global optimal output process in the collaborative interaction of massive power consumption data,the optimal output group is determined,and the interactive data meeting the termination conditions are obtained. Design collaborative interaction process,convert data into entities,and realize the exchange of massive power data. The experimental results show that the data throughput of the system is consistent with the actual throughput,and the delay also fluctuates near the allowable variation range,indicating that the data collaborative interaction results are consistent with the actual situation.