The invention relates to the technical field of intelligent
temperature control, and discloses a method and a
system for intelligent
temperature control according to multi-point
monitoring data. According to the method, temperature data sets of a plurality of monitoring points are obtained firstly, the temperature data sets comprise real-time temperature values, historical temperature records, environment
humidity data and equipment operation state data, and each data item is associated with a
timestamp and a spatial position identifier; then based on the
data set, a temperature
distribution rule and a change trend are identified by applying a temperature change mode identification
algorithm, modeling is performed on spatial dimension
diffusion and time dimension evolution by combining a heat propagation model, and a dynamic weight is given to temperature data by adopting an
adaptive weighting mechanism; a future temperature prediction result is generated by using the heat propagation model, and a control instruction is output to adjust the
temperature control equipment; and finally, updating
model parameters by taking the actual temperature change and the equipment
response effect as feedback, and optimizing a control strategy through repeated feedback circulation until a preset temperature stability target is achieved.