Abstract: Surrounding mines of the Xinjie Taigemiao Mining Area are all typical rock burst-prone collieries. Based on the principle of engineering analogy, it can be conclusively determined that future rock burst events will significantly jeopardize the safe and efficient mining operations within this area. Benefiting from the current critical construction period, a digital rock mechanics-enabled source governance system is proposed, characterized by source-oriented design, differentiation compatibility, and self-adaptive capabilities. This system will maximize safeguarding of safe, green, and high-efficiency production. Analyzing dominant controlling factors of potential rock burst in taigemiao mining area through comparative study of adjacent mines, and establishing a digital source governance system framework based on digital rock mechanics. Through comprehensive digitalization of native mine elements, a physically-transparent geological model will be constructed, providing a robust data foundation for intelligent mine development. Leveraging digital rock mechanics simulation technology that replicates authentic engineering behaviors, we will achieve proactive optimization of technical solutions for multiple scenarios including mining layouts and prevention systems. Driven by a “data-knowledge dual-engine” methodology, the system enables: source identification and prediction of rock burst hazards, autonomous generation of differentiated prevention decisions, guided by the principle: “optimized layout eliminates sources, rigorous control extinguishes sources, precision measures contain sources, proactive foresight avoids sources”. Validated through demonstration at Xinjie Taigemiao, this approach achieves differentiated lifecycle rock burst governance from the source. It delivers the “Xinjie Solution” for intelligent, safe, and efficient mining of rock burst-prone coal seams while enabling scientific production capacity release.