Abstract
The presence of dust in coal mines not only leads to environmental contamination but also poses a significant health threat to coal miners. In fact, elevated concentrations of dust can trigger severe dust explosion accidents. With the emergence of the Internet of Things (IoT), it becomes crucial to enhance the level of intelligence in coal mine dust removal. To address this issue, this paper proposes a comprehensive approach based on the basic-element theory. By analyzing the operational principles and technical characteristics of commonly used dust removal methods, this study outlines the key aspects and steps involved in constructing a basic-element database for coal mine dust removal. Moreover, it emphasizes the practical application of these methods in technological services, such as intelligent dust removal robots and information systems. Finally, the paper envisions future innovative directions and implementation strategies, aiming to provide foundational information for the intelligent upgrading of coal mine dust removal.
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