复杂地质条件下薄煤层三机智能配套开采技术研究OA

Aiming at the difficult problems faced by thin coal seam mining,such as limited space,complex geological structures,harsh surrounding rock conditions and others,a three machine collaborative intelligent mining technology based on lightweight digital twin is proposed.This technology achieves real-time monitoring and precise control of physical equipment by constructing high fidelity digital mapping of working faces.The core of the research lies in proposing a set of three machine collaborative intelligent mining technology schemes:on the one hand,taking the beat ratio(λ)as the core measurement factor,the macroscopic mining rhythm matching between the shearer,conveyor,and hydraulic support is achieved;On the other hand,an adaptive pose adjustment model based on fuzzy logic is constructed,and the problem of bracket pose instability under microscopic disturbances such as fault,floor undulation and others is effectively solved.The industrial test results of Jiangzhuang Coal Mine show that the operational stability and control accuracy of the system under complex geological conditions are significantly better than those of the traditional process,which fully verifies the effectiveness and advancedness of the proposed technical path.