Distribution Law and Prediction Model of Dust Concentration under Airflow Adjustment in Fully Mechanized Heading Face

Abstract

The current situation of extensive ventilation management for the fully mechanized heading face cannot dynamically control air velocity and make reasonable dust migration distribution, resulting in serious disaster of dust and environmental pollution in the roadway. In this paper, the fluid mechanics, finite element numerical simulation, and underground measurement were combined to analyze the distribution of dust concentration under the variable airflow state at the duct outlet to obtain the massive correlation data of duct outlet parameters and dust concentration. For the pedestrian breathing-height in the backflow side and driver location, the double-objective BP prediction model for dust concentration under airflow adjustment was established, and the performance parameters and prediction accuracy of the BP prediction model were analyzed by using the relative error and fitting analysis. In Ningtiaota coal mine, located in Northern Shaanxi province of China, the self-developed control device is installed on the duct outlet with underground test and application verification to refine the model. The results indicated the dynamic control of airflow optimizes dust concentration distribution. The dust concentration at the pedestrian breathing-height in the backflow side and driver location was significantly decreased after the installation of adjustment device. Dust concentration at the pedestrian breathing-height and driver location was decreased by 31% and 34%, respectively, compared with the results before adjustment, which achieved the safe, environment-friendly, and energy-saving ventilation and the dust removal function in fully mechanized heading face.

A method of regulating the wind field to reduce safety hazards of gas and dust in fully mechanized heading face based on dynamic data

“…At present, wind field regulation rules are calculated using static mining data under different working conditions and do not consider the dynamic characteristics of the data ( Gong et al., 2019b , 2021 ). The static method not only misses the first regulation time but also the effect of the regulation cannot meet the changing needs.…”

Study on Optimization of the Dedusting Air Duct Layout in Coal Mine Roadway

“…Ijaz et al gathered health data of workers in five different mines of Pakistan and found that the mine with the lowest ventilation volumetric flow rate has the highest dust concentration (Ijaz et al, 2020). Moreover, Gong et al combined the fluid mechanics, finite element method, and underground measurement and established the doubleobjective BP prediction model to calculate the dust concentration in mines (Gong et al, 2019). Hua et al used the CFD method and studied the effect of the position of the suction channel and the exhaust air rate on the dust diffusion and obtained the optimal dust control parameters (Hua et al, 2020).…”