The invention discloses a ventilation
system energy-saving control method and
system based on
fuzzy prediction, and the method comprises the steps: capturing a heat storage state of an
enclosure structure in real time through a nonlinear observation technology, carrying out the vectorization of the heat storage state into a thermal
momentum feature representing the evolution trend of a temperature field, and endowing a fuzzy controller with the physical pre-sensing capability for physical environment evolution, and response
lag compensation caused by the thermal
capacitance effect of the building structure is realized. According to the scheme, the limitation that
system inertia is simplified through a traditional
algorithm is broken through, physical energy efficiency
verification is carried out by introducing multi-dimensional self-adaptive
fuzzy reasoning of thermal
momentum compensation and combining the fan pressure flow characteristics and the surge boundary, the prediction precision under the dynamic fluctuation working condition of the temperature field is remarkably improved, and the prediction efficiency is improved. And temperature overshoot and
energy consumption loss caused by
response time sequence mismatch are effectively eliminated. Finally, deep
coupling of
control logic and building thermodynamic characteristics is achieved, and the dynamic robustness and the comprehensive energy-saving efficiency of the ventilation system are greatly optimized while the indoor comfort degree is guaranteed.