能耗监测数据网络化采集算法研究与仿真

Research and Simulation on Network Acquisition Algorithm of Energy Consumption Monitoring Data

当前的能源能耗监测数据采集算法无法对数据重构处理,数据采集结果存在冗余问题,导致算法通信开销大、耗时长且误差偏高。提出智慧能源能耗监测数据网络化采集算法,构建树型层次模型,建立监测数据收集聚合树,通过收集聚合树,采集智慧能源能耗监测数据,利用压缩感知算法重构能源能耗监测数据,实现智慧能源能耗监测数据的网络化采集。仿真结果表明,所提算法的通信开销更低,耗时更短,且采集误差较小。实验结果验证了所提算法具有更好的应用性能。

At present,some algorithms of energy consumption monitoring data acquisition are unable to reconstruct the data,and redundant data acquisition results may lead to high communication overhead,long time consumption,and high error.In this paper,an algorithm of networking acquisition for smarter energy consumption monitoring data was proposed.Firstly,a tree-structure hierarchical model was built,and then an aggregation tree for collecting the monitoring data was constructed.Based on this tree,the monitoring data of smarter energy consumption was collected.Secondly,the compressive sensing algorithm was used to reconstruct the monitoring data of smarter energy consumption.Finally,the networking collection for the monitoring data of smarter energy consumption was achieved.Simulation results show that the proposed algorithm has lower communication overhead,shorter time consumption,and smaller acquisition error.In addition,the experimental result proves the application performance of the algorithm.