The present invention relates to the field of power systems, and in particular to a device and method for automatic
adaptation and fusion of
power station data protocols based on
machine learning, wherein the fusion device includes: an
edge computing module: used for real-time analysis, learning and
processing of data,
network communication testing,
parsing key parameter information of
measurement point configuration files, automatically calling data protocol communication parameters, etc.; a storage module: used for storing real-time collected data and historical data, a
power module, a
data interface group, a
liquid crystal display, an indicator light group and a box. The data protocol
adaptation of this application is simple, the implementation cost is low, the debugging time is short, and the professional requirements are low. It significantly reduces the risk of inaccurate data caused by manual input requirements and human errors, saves a lot of human resource costs, and at the same time enhances
data processing capabilities, improves data collection quality, integrates
machine learning diagnostic functions, and quickly analyzes, processes, diagnoses and makes decisions on data, helping to discover and solve problems in a timely manner and avoid potential risks.