Automatic Construction of Coal Mine Accident Ontology

Author(s):  
Xiangqian Wang ◽  
Dongdong Gui ◽  
Huizong Li ◽  
Haixia Gui
Author(s):  
Wenwang Yang ◽  
Kai Zhu ◽  
Sanlin He ◽  
Yanan Zhang ◽  
Shangfei Gao
Keyword(s):  

Author(s):  
V.A. Portola ◽  
◽  
S.A. Sin ◽  
V.G. Igishev ◽  
A.Ye. Ovchinnikov ◽  
...  

1994 ◽  
Vol 25 (4) ◽  
pp. 229-234 ◽  
Author(s):  
Ashis Bhattacherjee ◽  
R.V. Ramani ◽  
R. Natarajan

Author(s):  
Aditi Nagrale ◽  
Roshani Wakodikar ◽  
Priti Nakade ◽  
Ketan Marothi ◽  
Kalyani Raut ◽  
...  

The accidents in coal mines are increased day by day. There are numerous life losses of many skilled workers and laborers. There is no advent precaution measure to detect the alarming cause of the coal mine accidents and provide an alert system. Occupational accidents and occupational diseases are common in the mining. The most common causes of accidents in coal mining are firedamp and dust explosions, landslips, mine fires, and technical failures related to transport and mechanization. An analysis of occupational accidents in the consideration of social and economic factors reports that the real causes behind these accidents, which are said to happen inevitably due to technical deficiencies or failures. Thus an automated alarming coal mine accident detect ion system is employed to rescue and protect the workers from the hazards. This system incorporates the combined action of the temperature, pressure and gas sensor and IOT module to detect the temperature, pressure and atmosphere in the coal mine and log every data onto the cloud using data logging. Then these data are accepted by a admin controlled sever page through data acquisition. The data processing takes place at a server page and the alert is send to the device to glow the alarm and to the concerned officials and rescue stations for taking the prevention measures.


2014 ◽  
Vol 989-994 ◽  
pp. 2306-2309
Author(s):  
Xiang Yun Meng ◽  
Ri Hui Chen ◽  
Shi Bin Wang

The Gray Relation Analysis is applied to the casualty analysis of non-coal mine accident in four certain years in China to export grey relational order to determine the main related factors in the non-coal mine accident, obtaining quantitative analysis results of the relationship between non-coal mine accident and multiple factors, introducing the concept of mine accident risk correlation degree.


2014 ◽  
Vol 556-562 ◽  
pp. 6232-6235 ◽  
Author(s):  
Gang He ◽  
Hong Zhang ◽  
Guo Tong Qiao

Case study of 300 typical coal mine accident indicates that coal miners’ unsafe behavior is the major internal reason causing coal mine accidents. Factors affecting coal miners’ unsafe behavior were identified because of human’s complexity. We built the relatively entire system of coal miners’ safety behavior and quantitatively analyzed Coal miners’ unsafe behavior system, then explained the path and divergence of impact factors within the system in detail. Management decision can be formulated to advance management level in coal mine industry accordingly.


2010 ◽  
Vol 171-172 ◽  
pp. 295-298
Author(s):  
Xiao Li Liu ◽  
Zhi Ye Zhang

The high rate of coal mine accident gives our country enormous economic loss, gives human heart heavy striking, and gives our country bad impression in international society. According to accident-causing theory, human unsafe behaviors and unsafe conditions of thing are the main reason of accident. The paper analyzes the relationship of miners′ psychological characteristic and safety degree, quantifies miners′ safety degree and brings forward measures to improve miners′ safety degree.


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