Research on the Implementation Method of Situational Awareness Strategy Integrating Computational Migration Model
Aiming at the problems of low data processing efficiency,long data transmission time and slow warning response of existing situational awareness technologies,a situational awareness strategy incorporating computational migration model is proposed.Firstly,the computational migration model is introduced,and the heterogeneous monitoring data from multiple sources collected by sensors in real time are distributed to each synaptic node in the edge layer under the guidance of Monte Carlo-Shannon mathematical ideas;then the eigenvalue extraction of the data is carried out to obtain the eigenvalue matrix;finally,the modified cosine similarity algorithm is used to analyze the collected data and make the corresponding decisions.The experimental results show that compared with the existing methods,this strategy can reduce the data transmission and comparison time by 35.3%and improve the comparison accuracy by 20.22%.
proactive early warningsituational awarenessmulti-source heterogeneous datacomputational transfer model
国家科技期刊平台
NSTL
万方数据
维普
