Authors: Jingzhao Li; Tengfei Li
Addresses: College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, China ' College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, China
Abstract: There are many hidden safety hazards in mine ventilation process, which cannot be dealt with in time. It is because the type of coal mine and its mining conditions are complex and changeable, and the safety decision-making level is low when coal mine ventilation is abnormal. To solve these problems, this paper presents a decision system for scene ventilation safety based on intelligent perception and decision. First, grey correlation analysis and rough set theory are used to reduce the decision table horizontally and vertically. Then, the reduced data is input into the mine ventilation safety decision model based on the improved capsule network to make ventilation safety decision. Experimental results show that this system can significantly improve the accuracy of mine ventilation safety decision, has the characteristics of strong information perception ability and accurate decision, and provides an important guarantee for mine ventilation safety.
Keywords: grey correlation analysis; rough set; mine ventilation; capsule network; attribute reduction; intelligent decision making.
International Journal of Computational Science and Engineering, 2021 Vol.24 No.2, pp.162 - 170
Received: 08 Jun 2020
Accepted: 08 Sep 2020
Published online: 12 May 2021 *