改进大数据算法模型的电能用电数据信息采集系统设计

Power Consumption Information Collection System Based on Modified Big Data Algorithm Modeling

针对传统用电信息数据采集系统硬件采集精度与速度不高、算法模型误差较大、计算效率低的问题,设计了一种基于主动队列管理的算法模型(Active Queue Management,AQM)的电能数据采集系统,同时进行了通信信道分配算法的改进,从而提高分配的速率和精度。系统中包含电源模块、存储模块、时钟模块和ZigBee模块,能提高用电信息数据采集系统采集数据的交互能力。试验结果表明,采用该方法进行数据通信的传输完整性几乎接近100%,大大提高了数据传输能力,具有突出的技术优势。

In view of the problems of low hardware acquisition accuracy and speed,large error of algorithm model and low calculation efficiency of traditional power information data acquisition system,an power consumption information acquisition system based on active queue management(AQM) algorithm modeling is designed.Moreover,the communication channel allocation algorithm is modified to improve the allocation rate and accuracy.The system also includes power module,storage module,clock module,various communication modules and ZigBee modules with interfaces,which can improve the interaction ability of data collected.The experimental results show that the integrity percentage of data communication transmission using the proposed method reaches almost 100%,which greatly improves the data transmission capacity and has outstanding technological advantages.