Surface Movement and Deformation Law Caused by Different Coal Pillar Stagger Distances in Strip Filling IoT-Enabled Sustainable Mining

Most of the mines in middle and lower reaches Yellow River Basin China have occurrence characteristics multiple coal seams, mining is easy to cause damage ecological human settlement environments. Mine monitoring methods, using Internet Things (IoT) machine learning, pursue develop a suitable atmosphere avoid similar damages mine closure with supreme efficacy. Accurate methods reduce these optimize mining. Strip filling characterized by high efficiency, reliability, low cost, which provides good technical support for control. However, how reasonably layout working face under multicoal seam conditions law surface movement different pillar stagger distance need be studied. Based on geological Shandong Province, through numerical simulation theoretical analysis, this article studies influence strip The study reveals mechanism cooperative deformation distances. Furthermore, an IoT, cloud computing, data aggregation based architecture offered order development digital sustainable platform. results show that subsidence positively correlated coefficient layers. When s ≥ 0.75, then horizontal are less affected change coefficient. relationship between ratio coefficient, mining, power function. observed was 0.21–0.32, about 0.09. fitting empirical formula particular area, established various learning methods. Under gently inclined seam, can slowed down certain extent arrangement along incline direction. Through plausible assumption, our experimental outcomes demonstrate proposed prototype improve prediction accuracy model execution times, from 14.2% 18.9%, method.