The Intelligent Human–Computer Interaction Method for Application Software of Electrical Energy Metering Based on Deep Learning Algorithm

With the vigorous development and wide application of mobile communication device technology, various mobile communication devices have emerged. Aiming at the application of mobile communication equipment application software in the field of electrical energy metering, the intelligent human–computer interaction deep learning method of mobile communication equipment of application software for electrical energy metering based on embedded Linux is studied in this paper deeply. First, the architecture and working principle of application software for electrical energy metering are analyzed briefly. Secondly, the basic principle of neural network based on deep learning algorithm are analyzed, and then, the principle process of intelligent human–computer interaction of electric energy metering application software obtained through neural network depth learning is studied in detail. Finally, a simulation example is given. The results of theoretical and simulation studies show that the method studied in this paper has the advantages of simple human–computer interaction, real-time, accurate, and intelligent.