The application discloses a kind of
coal mine roadway supporting scheme dynamic parameterization design method and
system, and design method includes the following steps: obtaining the multi-source heterogeneous data of
coal mine lane, constructs the
knowledge graph of
coal mine roadway supporting field, forms original characteristic parameter set;Regression and classification double-path prediction framework is constructed, and the original characteristic parameter is carried out depth
feature extraction, associated learning and candidate scheme generation, and the initial scheme of supporting parameter is output;By
physical information neural network, the endogenous constraint is applied to the initial scheme of supporting parameter, while combining the rules of supporting specification information, the double
verification is carried out to supporting scheme, and through the automatic adjustment of the parameter that does not satisfy constraint condition is carried out to the antagonistic correction mechanism;The supporting scheme is updated dynamically, and the parameter deviation caused by the discontinuity of
geological exploration or environmental disturbance is corrected, and the
adaptive optimization and iterative update of supporting scheme are realized by
reinforcement learning strategy and incremental
closed loop mechanism, and the final supporting scheme is obtained.