The invention provides a data-driven central air conditioner cooling
station energy efficiency optimization control method and
system, and the method comprises the steps: data collection, data introduction, model construction, model training,
intelligent control strategy making, and implementation and
continuous optimization. According to the data-driven central air conditioner cooling
station energy efficiency optimization control method and
system, real-time complaint and evaluation of the user to the air conditioner
system are analyzed, the
user satisfaction degree is quantified, the
user satisfaction degree is associated to the specific building area, a user-oriented optimization target is provided for a control strategy, the temperature set value is automatically adjusted when the negative emotion rises, and the energy efficiency of the central air conditioner cooling
station is improved. And the concentration of fungi in a key area of the cold station is monitored in real time, equipment
corrosion or air quality problems caused by excessive microorganisms are prevented, meanwhile,
microorganism data and operation parameters are subjected to space-
time alignment, potential correlation between the
microorganism data and energy efficiency is excavated, and the system can comprehensively evaluate the operation state of the cold station.