Efficient coordination between different processes is crucial in optimizing resource allocation and minimizing energy consumption during blasting operations in open-pit mines. To address these challenges, the theory of blasting sharing control is proposed, which integrates macroscopic ore fragmentation with mesoscopic damage analysis and introduces a novel ore damage model for the shoveling process. By optimizing inter-process connections and considering factors such as wear and depreciation, a comprehensive energy distribution model is developed across drilling, crushing, blasting, shoveling, and transportation processes. Evaluation and control indices are proposed for each process, leading to the establishment of a blasting sharing control model. The results demonstrate that the ore damage model reveals the multi-phase characteristics of rock blasting failure and effectively predicts the crushing energy consumption by regulating fragmentation levels. With a fitting accuracy exceeding 0.8, this model optimizes the crusher operations while reducing energy consumption. Using the blasting sharing control model enables calculation of the optimal solutions for blast parameter design while establishing an optimal comprehensive energy consumption formula under the constraint conditions, thus enabling the accurate adjustment of energy at each link and providing strong support for efficient, safe, and sustainable mine operations.