An intelligent hybrid system for surface coal mine safety analysis |
| |
| Authors: | N Lilić I Obradović A Cvjetić |
| |
| Affiliation: | 1. Key Laboratory of Energy Engineering Safety and Mechanics on Disasters, The Ministry of Education, Sichuan University, Chengdu 610065, China;2. State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology at Beijing, D11 Xueyuan Road, Beijing 100083, China;3. State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, No 1 University Avenue, Xuzhou 221116, China;1. Laboratory of Green Chemistry, Faculty of Technology, Lappeenranta University of Technology, Sammonkatu 12, 50130 Mikkeli, Finland;2. Civil and Environmental Engineering, Florida International University, 10555 W. Flagler Street, EC 3680, Miami, FL 33174, United States;3. SARChI Chair for Acid Mine Drainage Treatment, Tshwane University of Technology, Department of Environmental, Water and Earth Sciences, Private Bag X680, Pretoria 0001, South Africa;1. Minerals Metals and Material Technology Centre, National University of Singapore, 9 Engineering Drive 1, Singapore 117576, Singapore;2. Mechanical Engineering, Masdar Institute of Science and Technology, Masdar City, Abu Dhabi, P.O. Box 54334, United Arab Emirates;3. Department of Mining, Metals and Materials Engineering, McGill University, 3610 University Street, Montreal, Quebec H3A 2B2, Canada;4. Department of Bioresource Engineering, McGill University, 111 Lakeshore Road Sainte-Anne-de-Bellevue, Québec H9X 3V9, Canada |
| |
| Abstract: | Analysis of safety in surface coal mines represents a very complex process. Published studies on mine safety analysis are usually based on research related to accidents statistics and hazard identification with risk assessment within the mining industry. Discussion in this paper is focused on the application of AI methods in the analysis of safety in mining environment. Complexity of the subject matter requires a high level of expert knowledge and great experience. The solution was found in the creation of a hybrid system PROTECTOR, whose knowledge base represents a formalization of the expert knowledge in the mine safety field. The main goal of the system is the estimation of mining environment as one of the significant components of general safety state in a mine. This global goal is subdivided into a hierarchical structure of subgoals where each subgoal can be viewed as the estimation of a set of parameters (gas, dust, climate, noise, vibration, illumination, geotechnical hazard) which determine the general mine safety state and category of hazard in mining environment. Both the hybrid nature of the system and the possibilities it offers are illustrated through a case study using field data related to an existing Serbian surface coal mine. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
