The invention discloses a loss compensation method and device, equipment, a storage medium and a product. The loss compensation method comprises the following steps: acquiring waveform characteristic information and
wavelength condition information of a received
signal; loss compensation is carried out on the received
signal through a preset loss compensation model based on the waveform characteristic information and the
wavelength condition information, a
target signal output by the preset loss compensation model is obtained, and the preset loss compensation model realizes unified modeling of a plurality of working wavelengths based on
wavelength data of each wavelength. And in the fusion process, cross-wavelength common features are shared, and meanwhile, a neural
network model of specific damage of each wavelength is reserved and compensated. According to the invention, the loss compensation is carried out on the received
signal based on the preset loss compensation model which maintains the cross-wavelength common feature and retains and compensates the specific damage of each wavelength, so that compared with the existing mode of respectively training an
equalizer for each wavelength to carry out loss compensation, the loss compensation is carried out on the received signal; according to the invention, the number of models for multi-wavelength
system equalization can be significantly reduced, and the storage and training complexity is reduced.