Industrial data calculation method based on off-line computing engine
Aiming at the problem that time series data cannot be calculated efficiently in the process of industrial data calculation,a method of industrial data calculation based on off-line computing engine is proposed.The calculation method includes rule engine and intelligent analysis system,which can collect and analyze time series data in industrial production at any time.The performance test of this calculation method shows that the data accuracy,time consuming and resource consumption in the data calculation of electric power enterprises are 97.9%,1.9s and 59.6Mb respectively,which is significantly better than the industrial data calculation method based on data orchestration and the industrial data calculation method based on deep learning.The above results show that the overall performance of the industrial data calculation method based on off-line computing engine is better than that of the comparison algorithm.At the same time,the study also combined with the practical application scenario,to illustrate the effect and value of the method in practical applica-tion,and further show that it has a certain role in promoting the development of industrial data computing field.
rule engineintelligent analysis systempumped storage algorithmtime series dataalgorithm configuration