Dynamic calculation of heat-flow coupled mine ventilation network with introduction of air volume fluctuation factor

JIA Tong; MA Heng; GAO Ke

doi:10.13225/j.cnki.jccs.2024.0638

Abstract：To address the issue of continuous multi-scale fluctuations in air volume due to the thermal flow within the un-steady airflow medium in the ventilation system pipe domain,which limits the accuracy of system state mapping when us-ing a static thermal-pressure-humidity ventilation calculation model.Under the framework that the air flow is a polytropic process involving coupled aerodynamic and thermodynamic processes,the real-time and accurate mapping of the system operation state is equivalent to dynamically calculation the heat-flow coupling fluctuation mine ventilation network under time series.The underlying multiscale fluctuation principles of heat-flow coupled air volume were examined,identifying airflow density as the primary cause of volume fluctuation.Using this as a characterization variable,with unsteady envir-onmental and gradient flow fields as boundary conditions,an infinitesimal approach was used to analyze the time-variant law of heat-flow coupled property of airflow.A transient airflow feature model was developed with time as the root vari-able.An air volume fluctuation factor was defined to capture the transient position of fluctuating air volume,which was then incorporated into a static ventilation network model,yielding a fluctuating ventilation network calculation model with continuous spatial characteristics.Additionally,a transformation equation linking the fluctuation factor with the transient airflow feature model was established to integrate the transient flow function as a fluctuation transfer variable in the fluctu-ating ventilation network model,thereby forming a time-series-based dynamic calculation model for the fluctuating ventil-ation network to achieve real-time,precise mapping of the network state.To validate the production feasibility of the dy-namic calculation model for the fluctuating ventilation network,Shuangma I Mine was taken as the engineering case,with cross-strata thermal environment data in time series applied as the initial condition.This enabled real-time global ventila-tion network calculation,expanding the fixed initial air volume value into a time-series fluctuation range and accurately re-flecting the real-time operational characteristics of the production ventilation system under the heat-flow coupled airflow condition.The dynamic calculation for the fluctuating ventilation network facilitates precise quantitative mapping of the ventilation network state through real-time analysis of the coupling effect between the mine environment and ventilation variables,establishing a data foundation and optimized pathway for subsequent intelligent quantitative decision-making to enhance the adaptive adaptability and intrinsic precision of intelligent ventilation control.