The invention discloses an intelligent
processing and storage method,
system and device for
machine room dynamic environment data combined with
large model fine tuning, and the method comprises the steps: carrying out the grid division of the
machine room dynamic environment data collected through a plurality of network transmission protocols through an intelligent grid segmentation method, and adjusting the size of a
grid based on the use density of the grid; calculating the comprehensive
score of each grid and the comprehensive
score of each area to obtain a difference value between the comprehensive
score of the grid and the comprehensive score of each area, and evaluating the performance state of the grid according to the difference value; and storing the processed data in a
database, training a
large model by using the processed data, performing first-stage fine adjustment and second-stage fine adjustment, storing the whole-process data, and performing regular
backup. The
system comprises a
data acquisition and grid division module, a performance analysis module, a data caching module and a
large model training and safety
fine tuning module. According to the invention, high-efficiency collection, intelligent analysis and accurate control of
machine room dynamic environment data are realized, and the intelligent level of energy efficiency management and the stability of
system operation are effectively improved.