scholarly journals IDO most superior pattern recognition model and its application in the safety assessment of the coal mine

2011 ◽  
Vol 26 ◽  
pp. 2059-2064
Author(s):  
Li De-shun ◽  
Xu Kai-li
Keyword(s):  
Pattern Recognition ◽  
Coal Mine ◽  
Safety Assessment ◽  
Recognition Model

scholarly journals A novel grey–fuzzy–Markov and pattern recognition model for industrial accident forecasting

2017 ◽  
Vol 14 (3) ◽  
pp. 455-489
Author(s):  
Inyeneobong Ekoi Edem ◽  
Sunday Ayoola Oke ◽  
Kazeem Adekunle Adebiyi
Keyword(s):  
Pattern Recognition ◽  
Industrial Accident ◽  
Recognition Model

scholarly journals Recognition of Landscape Key Areas in a Coal Mine Area of a Semi-Arid Steppe in China: A Case Study of Yimin Open-Pit Coal Mine

2020 ◽  
Vol 12 (6) ◽  
pp. 2239 ◽  
Author(s):  
Shougang Wang ◽  
Jiu Huang ◽  
Haochen Yu ◽  
Chuning Ji
Keyword(s):  
Coal Mine ◽  
Open Pit ◽  
Ecological Security ◽  
Recognition Model ◽  
Security Pattern ◽  
Arid Steppe ◽  
Landscape Types ◽  
Total Study Area ◽  
Semi Arid

The ecological integrity and biodiversity of steppes were destroyed under the long-term and high-intensity development of open-pit coal mines in China, causing desertification, steppe degradation, landscape function defect, and so on. As a source of species maintenance and dispersal, an ecological source is a key area for preservation in order to restore the ecological security pattern of the larger landscape. The purpose of this study was to establish a landscape key area recognition model to identify the landscape key areas (LKA) surrounding an open pit coalmine located in semi-arid steppe. This study takes the Yimin open pit mining area as a case study. We assessed Landsat 5 Thematic Mapper (TM) and Landsat 8 Operational Land Imager (OLI) remote sensing images taken during the peak season of vegetation growth from July to August in 1999, 2006, 2011, and 2017. From these images, we identified the main landscape types and vegetation coverage grades in order to identify the ecological land. Next, we applied the three indices of Importance of Patch Connectivity, Habitat Quality, and Ecosystem Service Value to calculate the comprehensive results that identify ecological land. Finally, the ecological land quality results of different years are superimposed and averaged, and then Very Important Patch (VIMP), Important Patch (IMP), and General Patch (GEP) areas were used for LKA extraction. Our results showed LKA to cover 177.35 km2, accounting for 20.01% of the total study area. The landscape types identified as LKA are primarily grassland (47.37%), wetland (40.27%), and shrubland (11.88%), indicating that landscape type correlates strongly with its value as a landscape key area. The proposed landscape key area recognition model could enrich the foundations for ecological planning and ecological security pattern construction in order to support ecological protection and restoration in semi-arid steppe areas affected by coal mining.

Information Entropy Based Fuzzy Pattern Recognition Model for Identification of Vulnerable Groups in Water Resource Conflicts

2014 ◽  
Vol 610 ◽  
pp. 316-319
Author(s):  
Li Feng Lv ◽  
Yan Ping Chen
Keyword(s):  
Pattern Recognition ◽  
Water Resource ◽  
Information Entropy ◽  
Water Rights ◽  
Liaoning Province ◽  
Vulnerable Groups ◽  
Recognition Model ◽  
Resource Conflicts ◽  
Fuzzy Pattern Recognition ◽  
Fuzzy Pattern

Identification of vulnerable groups in water resource conflicts is to improve the identification of vulnerable groups in the allocation of water rights and water markets water rights system. There are two difficulties: one is how to determine the weight of evaluation indexes; another is how to effectively deal with the subjectivity of the evaluation process and the low resolution. Therefore, this paper proposes “Information Entropy Based Fuzzy Pattern Recognition Model for Identification of Vulnerable Groups in Water Resource Conflicts (EFPQ-VRWC)” according to the fuzzy pattern recognition based on the combination of the maximum entropy principle and genetic algorithms. And identifying vulnerable groups of Daling River Basin in Liaoning Province, it illustrates the method of application value. And evaluation results have continuity, comparability and versatility so that can accurately reflect the level of vulnerable groups in water resource conflicts.

Study on the Safety Assessment System of Fire Hazard in Coal Mine

2011 ◽  
Vol 415-417 ◽  
pp. 2126-2129
Author(s):  
Jia Yong Zhang ◽  
Xue Min Gong ◽  
Li Wen Guo
Keyword(s):  
Coal Mine ◽  
Safety Assessment ◽  
Fire Hazard ◽  
Electrical Equipment ◽  
Assessment System ◽  
Coal Bed ◽  
Fire Control ◽  
Fire Hazards ◽  
Sustained Development ◽  
Set Up

Fire hazard is one of the severe casualty accident, which injures the life-safety of the miner crucially and disturbs the sustained development of the coal mine. Recently the check-up table is the mere method applying for the assessment of the fire hazard, and the assessment conclusion is subjective intensively and the Index System of the Safety Assessment is not perfect, because the dangerous degree of fire hazard is set up by the professional. In this paper, the seven factors were generalized through the statistic and analysis of the 56 fire hazards, which included self-ignite gradation of coal bed, miner stuff, management of ventilation of coal pits, fire control system, safety administration, mine combustible, risk ratio of the electrical equipment. The ratio of each factor was confirmed by the method of layered analysis, the safety degree was set up through data processing and the proper measure and suggestion were put forward according to the safety result.

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