Intelligent prediction system and application of coal roadway support effect

MA Xinmin; XIANG Junjie; ZHAI Zhonghua; CHEN Liying; YANG Wenqing

Abstract：Addressing the challenge of designing coal roadway support under deeply buried and complex geologi-cal conditions,this study integrates roadway support,computer development,and numerical simulation into a co-hesive cross-fusion technological research approach.By compiling literature,conducting questionnaires,and un-dertaking field investigations,a comprehensive coal roadway support knowledge base was established.This base aids in providing users with essential rock mechanics and support scheme parameters through data retrieval and a rule-based reasoning mechanism.A versatile numerical simulation script,adaptable to varied geological condi-tions,diverse roadway types,and multiple support schemes,was developed utilizing FLAC3D's built-in language for secondary development.This facilitated the creation of a predictive model for assessing the efficacy of coal roadway support systems.Advanced computer programming was employed to develop a predictive system for coal roadway support outcomes,enabling the visualization and intelligent forecasting of support effects.The sys-tem's efficacy was demonstrated through application to a classic case,with its predictive accuracy evaluated using the coefficient of determination(R2)and the Mean Absolute Percentage Error(MAPE),both yielding satisfactory results within acceptable ranges-R2 values above 0.8 and MAPE values below 20%.Further validation in an engi-neering application,the 818 external air roadway at Xinhu Coal Mine,confirmed the system's high predictive ac-curacy of over 84%,proving its capability to provide accurate guidance for onsite construction operations.