Work

Parameter Calculation of Coal Mine Gas Drainage Networks Based on PSO–Newton Iterative Algorithm

Year: 2026

Type: article

Abstract: Comprehensive monitoring of gas extraction parameters is crucial for the safe production of coal mines. However, it is challenge to collect the overall gas drainage network parameters with limited sensors due to technical and economic constraints. To address this issue, a nonlinear model for gas confluence structure is construed incorporating the conservation of mass, energy, and gas state properties. Considering exogenous variables such as frictional loss correction coefficient (α) and air leakage resistance coefficient (β), as well as the iterative structure of drainage networks, a hybrid PSO-Newton algorithm framework is designed. This framework realizes iterative solutions for multi confluence structures by combining global optimization (PSO) and local nonlinear solving (Newton’s method). A case study using historical monitoring data from the 11306 working face of S Coal Mine was conducted to evaluate the proposed algorithm at both branch and drill field levels. The results show that key parameters such as gas flow velocity, concentration, and density align with actual observation trends, verifying the accuracy and effectiveness of the algorithm. By enabling the derivation of comprehensive network parameters from limited monitoring data, this study provides strong support for the intelligent management of coal mine gas extraction.

Source: Applied Sciences

DOI: 10.3390/app16031443

Authors: Xiaolin Li, ZhiYu Cheng, TongQiang Xia

Institution: China University of Mining and Technology

Language: English

Topic: Geoscience and Mining Technology

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: gold

Estimated APC paid: $2,896