The application discloses a
building envelope parameterized design method based on forward mapping and reverse generation, and relates to the technical field of
building envelope design, which comprises the following steps: constructing a rule set containing a material set allowed in each layer and a material
compatibility matrix of adjacent
layers; training a neural network to be a forward mapping model with the thickness and material code of each layer as input and the thermal parameter as output; determining the target thermal parameter according to the building
performance requirement; inputting the target thermal parameter into the condition generation model of the non-light-transmitting envelope structure, and decoding from the outside to the inside layer by layer, generating an allowed
mask according to the allowed material set, generating a dynamic
mask according to the
material type determined in the previous layer and searching the
compatibility matrix, applying the two masks to the current layer material category to make the illegal material probability zero to obtain the alternative scheme; under the constraint of the rule set, the light-transmitting envelope structure traverses the legal material and thickness combination to filter the alternative scheme with the
minimum deviation from the target thermal parameter; and finally, the alternative scheme is input into the forward mapping model to check the output final recommended scheme.