The application relates to the technical field of
greenhouse environment control, in particular to an intelligent
greenhouse temperature and
humidity control method and
system, which comprises the following steps: acquiring temperature channel and
humidity channel of each sensing node in a
greenhouse and marking space-time stamps; aligning the original sequence of the temperature channel and the
humidity channel of each sensing node in the greenhouse to a regular space-time grid through space-time double-weight interpolation to obtain a temperature grid matrix and a humidity grid matrix; identifying saturation
distortion based on the temperature grid matrix and the humidity grid matrix, inversely calculating a real
dew point temperature based on a
water vapor partial pressure conservation initial value of a grid suffering from saturation
distortion, and calculating a
dew stress index; dividing the greenhouse into an execution subzone, taking a minimum value of the
dew stress index in the execution subzone as a stress representative value, and scheduling an execution mechanism to respond when the stress representative value crosses a trigger boundary. The application effectively solves the saturation
distortion problem of the sensor under the condensation working condition, and significantly improves the response capability of the greenhouse
control system under the extreme dew working condition.