Research on Data Acquisition of Communication Equipment Based On Machine Learning

Abstract

In order to solve the problem that the data acquisition accuracy of traditional methods such as GPS data acquisition vehicle, original paper data acquisition and electronic data acquisition is not high; a data acquisition model for the evaluation index of substation communication equipment based on machine learning is proposed. Through the design of data receiving board, the fast data input of substation communication equipment is realized, and the data sampling control card is designed, which is packaged with the sensor head, switching data acquisition device and sampling control card to realize the data acquisition of substation communication equipment evaluation index. Experimental comparison shows that this model is more accurate than three traditional data acquisition models.