Research and Control of Underground Pressure Law of Coal Mining Face in Soft Rock Strata Based on Neural Network under the Background of Wireless Network Communication

Abstract

Our country has a vast territory and rich resources, but it is a country with more coal, less oil, and poor gas. With the increase of our population, the development of society, and the more severe international situation, coal has become more important for our country’s economic development and energy. Security plays an irreplaceable role. Based on the neural network, this paper studies and controls the underground pressure law of the coal mine’s soft rock heading face, aiming at the safe and efficient mining of the first face and providing an experience for the next face. This paper mainly uses BP neural network learning algorithm and support pressure algorithm to measure and study the ground pressure law of coal mine soft rock heading face and establishes the ground pressure online monitoring system, which is used to analyze and summarize the ground pressure abnormal area during the mining of the working face, so as to provide the basis for safe mining of the working face. Through the field measured data, the initial pressure step and periodic pressure step at the upper, middle, and lower parts of the working face, the average working resistance of the support at the working face during pressure, and the dynamic load coefficient of the support are obtained. It is analyzed that the support in the middle of the working face has a large load and the pressure is obvious. The experimental results show that the initial support force of the whole working face is approximately normally distributed, the proportion of the initial support force in the range of 10–30 MPa accounts for more than 85% of the total statistics, and the frequency of the initial support force in the upper, middle, and lower stations at 10–25 MPa is 55%–65%.

A Case Study on Strong Strata Behaviors Mechanism of Mining Reserved Roadway and Its Prevention Techniques

“…Many scholars have studied the law of strata behaviors in the process of advancing the working face [32][33][34][35]. They obtained the "square position" characteristic of the working face [36].…”

Strength and microstructural analysis of geopolymer prepared with coal-based synthetic natural gas slag

“…Recent years have seen China's energy consumption landscape shift, with coal share gradually decreasing. However, the nation's substantial coal reserves, combined with the scarcity of oil, limited availability of natural gas and the current limitations of renewable energy sources in fully supplanting conventional ones, have ensured coal continued shortterm prominence in its energy mix (Liu et al, 2021;Rong and Cheng, 2021). Research indicates that global coal reserves, exceeding 1.07 trillion tonnes, could sustain current consumption levels for about 150 years.…”

Application of deep learning classification model for regional evaluation of roof pressure support evolution effects over time in coal mining face

“…This model boosts prediction efficiency and exhibits stable performance, strong convergence, and effective outcomes, ensuring safer and more efficient coal mining. Rong & Cheng [ 35 ] applied a BP neural network and a hydraulic support pressure algorithm to gauge underground pressure and explore the ground pressure laws at soft rock excavation faces. They also set up an online monitoring system for this purpose, offering a foundation for the safe mining operations at these faces.…”