Automatic Construction of Coal Mine Accident Ontology

2019 ◽  
pp. 1366-1374
Author(s):  
Xiangqian Wang ◽  
Dongdong Gui ◽  
Huizong Li ◽  
Haixia Gui
Keyword(s):  
Coal Mine ◽  
Automatic Construction ◽  
Mine Accident

Selection of coal mine accident cases for training

2014 ◽  
pp. 673-678
Author(s):  
Wenwang Yang ◽  
Kai Zhu ◽  
Sanlin He ◽  
Yanan Zhang ◽  
Shangfei Gao
Keyword(s):  
Coal Mine ◽  
Mine Accident ◽  
Selection Of

scholarly journals COAL MINE ACCIDENT RATE AND FIRE HAZARD ANALYSES

2018 ◽  
pp. 36-42
Author(s):  
V.A. Portola ◽  
◽  
S.A. Sin ◽  
V.G. Igishev ◽  
A.Ye. Ovchinnikov ◽  
...  
Keyword(s):  
Coal Mine ◽  
Fire Hazard ◽  
Accident Rate ◽  
Mine Accident

Time series analysis of coal mine accident experience

1994 ◽  
Vol 25 (4) ◽  
pp. 229-234 ◽  
Author(s):  
Ashis Bhattacherjee ◽  
R.V. Ramani ◽  
R. Natarajan
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Coal Mine ◽  
Series Analysis ◽  
Mine Accident

scholarly journals Coal Mine Safety Monitoring and Alert System

2021 ◽  
pp. 200-206
Author(s):  
Aditi Nagrale ◽  
Roshani Wakodikar ◽  
Priti Nakade ◽  
Ketan Marothi ◽  
Kalyani Raut ◽  
...  
Keyword(s):  
Coal Mine ◽  
Mine Safety ◽  
Occupational Accidents ◽  
Prevention Measures ◽  
Data Logging ◽  
Skilled Workers ◽  
Alert System ◽  
Mine Fires ◽  
Using Data ◽  
Mine Accident

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.

The Gray Relation Analysis of Non-Coal Mine Accidents Causation

2014 ◽  
Vol 989-994 ◽  
pp. 2306-2309
Author(s):  
Xiang Yun Meng ◽  
Ri Hui Chen ◽  
Shi Bin Wang
Keyword(s):  
Coal Mine ◽  
Accident Risk ◽  
Related Factors ◽  
Correlation Degree ◽  
Gray Relation Analysis ◽  
Relation Analysis ◽  
Mine Accident ◽  
Grey Relational ◽  
Relational Order ◽  
The Relationship

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.

Systematic Analysis of Coal Miners’ Safety Behavior Based on System Dynamics Model

2014 ◽  
Vol 556-562 ◽  
pp. 6232-6235 ◽  
Author(s):  
Gang He ◽  
Hong Zhang ◽  
Guo Tong Qiao
Keyword(s):  
Coal Mine ◽  
Impact Factors ◽  
Management Decision ◽  
Coal Miners ◽  
Safety Behavior ◽  
Systematic Analysis ◽  
Factors Affecting ◽  
Unsafe Behavior ◽  
Mine Accident ◽  
Internal Reason

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.

Study on Relationship of Miners′ Psychological Characteristic and Safety Degree

2010 ◽  
Vol 171-172 ◽  
pp. 295-298
Author(s):  
Xiao Li Liu ◽  
Zhi Ye Zhang
Keyword(s):  
International Society ◽  
Coal Mine ◽  
Human Heart ◽  
Economic Loss ◽  
High Rate ◽  
Psychological Characteristic ◽  
Unsafe Behaviors ◽  
Mine Accident ◽  
Relationship Of ◽  
The Relationship

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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