The invention relates to the field of power systems, in particular to a
power station data protocol automatic
adaptation fusion device and method based on
machine learning, and the device comprises an edge calculation module which is used for analyzing, learning and
processing data in real time, performing a
network communication test, analyzing key parameter information of a
test point configuration file, and automatically calling data protocol communication parameters and the like; and the storage module is used for storing real-time acquired data and historical data, and comprises a power supply module, a
data interface group, a
liquid crystal display, an indicating lamp group and a box body. The data protocol is simple in
adaptation, low in implementation cost, short in debugging time and low in professional requirement, the risk of inaccurate data caused by manual input requirements and human errors is remarkably reduced, a large amount of human resource cost is saved, meanwhile, the
data processing capacity is enhanced, the data collection quality is improved, the
machine learning diagnosis function is integrated, and the
data processing efficiency is improved. And the data can be quickly analyzed, processed, diagnosed and decided, so that problems can be timely found and solved, and potential risks can be avoided.