泛在电力物联网智能感知关键技术发展思路

智能感知是泛在电力物联网的数据入口,在泛在电力物联网建设中扮演着极其重要的角色。该文通过抽象化泛在物联网的信息论表述,量化比较了泛在电力物联网在数据传输容量上的优势,综合估算了智能感知网络规模,预测需要在此基础上解决海量异构多源数据融合、信息安全防护等问题。探讨了泛在电力物联网边缘算法的可分解性与下沉系数,定义了描述边缘算法可分解程度的范式,举例电力常用算法在泛在物联网边缘分解后的计算效率。讨论了智能感知在时空、类型、准确度的信息增益,以此为数学前提分别叙述了泛在电力物联网智能感知技术在通信网络、边缘计算、深度感知3个维度的发展思路,在此基础上讨论了泛在电力物联网的实际应用场景。

Development of Intelligent Perception Key Technology in the Ubiquitous Internet of Things in Electricity

Intelligent sensing is the data entry of the ubiquitous internet of things,and plays an extremely important role in the construction of the ubiquitous internet of things.This paper quantitatively compared the advantages of the ubiquitous internet of things in electricity in data transmission capacity by abstracting the information theory expression of the ubiquitous internet of things in electricity,and estimated the scale of intelligent perception network synthetically,forecasting solving the problems needs massive multi-source data fusion and information security protection.This paper proposed decomposition and subsidence coefficient of edge algorithm for the ubiquitous internet of things in electricity,defined a paradigm describing the decomposability of edge algorithm,illustrated the computational efficiency of common electric power algorithms after edge decomposition of ubiquitous internet of things,and discussed the information gain of intelligent perception in space-time,type and accuracy.Based on this,the development ideas of ubiquitous intelligent perception technology in three dimensions of data access network,edge computing and depth computing were described respectively.On this basis,the practical application scenarios of the ubiquitous internet of things in electricity were discussed.