A signal processing method, comprising: obtaining , first downlink signal data corresponding to each of N cells in a preset bandwidth resource scheduling solution, wherein N is a positive integer greater than 1; determining , first characteristic data corresponding to each piece of the first downlink signal data; and determining , based on a signal strength evaluation model and the first characteristic data corresponding to each of the N cells, first passive intermodulation, PIM, signal strength corresponding to a first cell, wherein the signal strength evaluation model is used to output first PIM signal strength based on input first characteristic data, and the first cell is any one of the N cells; wherein before the determining , based on a signal strength evaluation model and the first characteristic data corresponding to each of the N cells, PIM signal strength corresponding to a first cell, the method further comprises: obtaining , second downlink signal data corresponding to each of the N cells within a preset time period, wherein none of the N cells has uplink data within the preset time period; obtaining , second uplink signal strength corresponding to the first cell within the preset time period, and using the second uplink signal strength as second PIM signal strength; determining training characteristic data based on the second downlink signal data corresponding to the N cells within the preset time period; and performing training based on the training characteristic data, the second PIM signal strength within the preset time period, and a preset model training function, to obtain the signal strength evaluation model. obtaining , first downlink signal data corresponding to each of N cells in a preset bandwidth resource scheduling solution, wherein N is a positive integer greater than 1; determining , first characteristic data corresponding to each piece of the first downlink signal data; and determining , based on a signal strength evaluation model and the first characteristic data corresponding to each of the N cells, first passive intermodulation, PIM, signal strength corresponding to a first cell, wherein the signal strength evaluation model is used to output first PIM signal strength based on input first characteristic data, and the first cell is any one of the N cells; wherein before the determining , based on a signal strength evaluation model and the first characteristic data corresponding to each of the N cells, PIM signal strength corresponding to a first cell, the method further comprises: obtaining , second downlink signal data corresponding to each of the N cells within a preset time period, wherein none of the N cells has uplink data within the preset time period; obtaining , second uplink signal strength corresponding to the first cell within the preset time period, and using the second uplink signal strength as second PIM signal strength; determining training characteristic data based on the second downlink signal data corresponding to the N cells within the preset time period; and performing training based on the training characteristic data, the second PIM signal strength within the preset time period, and a preset model training function, to obtain the signal strength evaluation model. obtaining , second downlink signal data corresponding to each of the N cells within a preset time period, wherein none of the N cells has uplink data within the preset time period; obtaining , second uplink signal strength corresponding to the first cell within the preset time period, and using the second uplink signal strength as second PIM signal strength; determining training characteristic data based on the second downlink signal data corresponding to the N cells within the preset time period; and performing training based on the training characteristic data, the second PIM signal strength within the preset time period, and a preset model training function, to obtain the signal strength evaluation model. <EOS>