The application discloses a kind of control method and
system of intelligent air conditioner cold water unit based on prediction optimization, collection operating data and weather forecast data establish dynamic response benchmark, identify building cold load
mutation opportunity and detect the mismatch relationship of magnetic suspension frequency and
wet bulb temperature, generate energy-saving opportunity identification data to determine cooling start determination table;Using dynamic response benchmark to identify equipment
response delay characteristics, extract
time sequence advantage parameter to determine the misplacement configuration between multiple devices, generate coordination
control parameters;According to the coordination control parameter, cloud-end-local
transmission delay analysis is carried out, and the coordination control sequence is generated by buffer timing identification and
delay compensation;Through energy efficiency mode grading, mechanical
refrigeration suppression data is generated,
free cooling potential is excavated to form a cold source optimization factor, and an
emergency response strategy is generated;Using
emergency response strategy to identify multi-device linkage trigger
critical zone, build prediction correction feedback network, generate global collaborative optimization instruction, improve
system operation efficiency and control precision.