Coal mine raw coal yield prediction method and device based on time sequence and medium

The invention provides a coal mine raw coal yield prediction method and device based on a time sequence and a medium, and belongs to the technical field of data processing. The method comprises the following steps: acquiring a plurality of historical yield data samples, and training a to-be-trained yield prediction model based on a preset number of to-be-combined parameters and each historical yield data sample; and determining the first period yield of the to-be-predicted month through the trained yield prediction model. And based on the time sequence yield data corresponding to the historical yield data sample, determining the second period yield of the to-be-predicted month corresponding to the time sequence yield data. And determining the yield in the undetermined period according to the yield in the first period, the yield in the second period and the corresponding yield weight two-tuple. And updating the undetermined period yield based on the undetermined period yield and the planned production informat