Research on the Design of a Mine Gas Warning System Based on Cloud Computation

• Main Author: Jie Zhang
• Format: Article
• Language: English
• Published: AIDIC Servizi S.r.l. 2017-12-01
• Series: Chemical Engineering Transactions
• Online Access: https://www.cetjournal.it/index.php/cet/article/view/940

In order to improve gas disaster warning capability, this paper has further studied the theory and method of mine gas warning analysis based on cloud computation data integration model by analyzing mine gas inspection/monitoring data characteristics and its integrated control model. Based on the principle of cloud computation, the physical architecture of cloud computation model and its cloud computation platform model applying to mine gas warning analysis are built, mine gas inspection/monitoring data processing and prediction and warning algorithms are encapsulated, and a cloud computation model is built for the programmed service of gas warning computation, achieving effective warning analysis. According to experimental results, the theory and method of gas warning analysis under the cloud computation data integration model studied in this paper applies to gas warning analysis at coal mine sites, providing a new digital platform construction method and means for coal mine gas disaster prevention and control.