Statistical Analysis of Coal Mine Accidents of China in 2018

Shi, Yongkui; Chen, Jun; Jiang, Hao; Bi, Jun; Qi, Minhua; Wang, Xin

doi:10.1109/phm-qingdao46334.2019.8942991

Cited by 9 publications

(6 citation statements)

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“…Especially in modern industry, coal plays an important role in energy, chemical, metallurgy, machinery, light textile, food, and other industries. However, because of the harsh working conditions, the death toll of coal mine accidents is always high due to various reasons, such as mechanical failure [1], gas explosion [2], weather reasons [3], poor safety management of enterprises [4] and roof accidents. To reduce the death toll of coal mine accidents, various countries have promulgated a series of policies and management methods combined with the actual situation [5] and achieved certain effects.…”

Section: Introductionmentioning

confidence: 99%

Research on the Statistical Law of Coal Mine Safety Accidents and the Impact of Safety Policies on Accidents in China

An-yu

Wang

Liu

et al. 2023

Preprint

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This study investigates the correlation between previous coal mine safety policies and accidents in China. Data on coal mine accidents and government regulatory information from 2008 to 2021 are collected. The characteristics of coal mine accidents are analyzed, and safety policy indexes are identified. An ordinary least squares (OLS) regression model is established to quantitatively analyze the correlation between accidents and safety policy. The study finds that safety policies have some impact on accident occurrence in coal mines. Although there has been a decrease in accidents and deaths over time, higher mortality rates are observed during periods of increased production intensity and on weekends. Gas accidents are the most common, followed by roof and flood accidents. The study concludes that national safety policies with wider coverage and a stronger system are effective in preventing accidents, but caution should be exercised to avoid reduced vigilance with decreasing death rates.

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Section: Introductionmentioning

confidence: 99%

Research on the Statistical Law of Coal Mine Safety Accidents and the Impact of Safety Policies on Accidents in China

An-yu

Wang

Liu

et al. 2023

Preprint

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“…Coal is a vital fossil energy source and the foundation of China's energy system. China is rich in coal resources, but the complex geological conditions of coal mines and the difficulties in mining have led to frequent coal mine production accidents in China, and there is a significant gap in the safety situation of coal mines compared with that of developed countries [1][2][3][4][5][6]. According to relevant statistics, between 2008 and 2021, the total number of coal mine accidents in China reached 1157, causing a large number of casualties and property losses, of which roof accidents and water damage accounted for 44.43%, resulting in 514 deaths; this represents a severe hazard [7,8].…”

Section: Introductionmentioning

confidence: 99%

Study of a Small Robot for Mine Hole Detection

Ge,

Fang,

et al. 2023

Applied Sciences

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China is rich in coal resources, but complex hydrogeological conditions lead to difficulties in coal mining, including coal mine collapses, roof and water damage, and other accidents that occur frequently, resulting in many casualties and property losses. The use of coal mine hole detection technology to detect and analyze the internal environment of the coal mines in advance helps to reduce safety hazards and prevent coal mine accidents; however, the operation of existing coal mine hole detection technology is cumbersome, difficult to control, and encounters problems due to an insufficient depth of jacking. This paper designs a new type of small robot for mine hole detection. Firstly, we analyzed the function and structural design of the mine hole detection robot, designed a variable diameter function according to the characteristics of narrow and uneven mine holes in coal mines, and analyzed the mechanics of the critical parts using theoretical calculations. Secondly, using three-dimensional modeling software (Solidworks 2019), we established a structural model of the small robot for mine hole detection. After that, we designed a hardware circuit and control program for the robot and emphasized the safety design of the circuit, considering the presence of water and gas inside the coal mine. Finally, to verify the feasibility of the design program, the basic parameters and function tests of the mine hole-detection small robot were carried out. The experimental results show that the developed mine hole-detection small robot can adapt to working hole diameters from 65 mm to 100 mm and has a maximum working power of only 12 W and a maximum crawling speed of 3.96 m/min. The maximum crawling slope reaches 90°, which can meet existing mine hole inspection needs. This research provides theoretical and design guidance for developing mine hole-detection robots with substantial engineering practical reference values.

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“…An accident that occurs while mining minerals or metals is known as a mining accident. Each year, tens of thousands of miners die in mining accidents, most of which occur in underground coal mining, while accidents also happen in mining [1]. Due to rock strata that are plain, typically incompetent rock, presence of CH4 gas, and coal powder, Coal mining is considered significantly more dangerous than hard rock mining.…”

Section: Introductionmentioning

confidence: 99%

Coal Mine Safety Monitoring and Alerting System with Smart Helmet

Mangesh¹,

Shivam²,

Madhuri³

et al. 2022

ITM Web Conf.

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Traditional monitoring systems in coal mines are difficult to install, hazardous, and difficult to power. Because of the complexity of the mining environment and the wide range of operations performed in coal mines, it is vital to monitor and maintain the parameters in the background t increase the efficiency and safety of mineworkers. As a result, traditional monitoring methods cannot be relied on to ensure coal workers’ safety. This research represents a ZigBee-based wireless monitoring system using a smart helmet. The presented wireless monitoring system is capable of detecting and transmitting critical parameters in coal mines such as methane gas, high temperature, humidity, and fire. In an emergency, this monitoring system transmits distress signals. A buzzer will sound if emergency conditions are detected, and the monitored variables will be displayed on the user interface machine. Moreover, the Parameters are wirelessly transmitted to the control room, allowing people to determine the safety situation of the mine. This model is easily reprogrammable. Experiments have demonstrated the system’s reliability and stability.

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Statistical Analysis of Coal Mine Accidents of China in 2018

Cited by 9 publications

References 0 publications

Research on the Statistical Law of Coal Mine Safety Accidents and the Impact of Safety Policies on Accidents in China

Research on the Statistical Law of Coal Mine Safety Accidents and the Impact of Safety Policies on Accidents in China

Study of a Small Robot for Mine Hole Detection

Coal Mine Safety Monitoring and Alerting System with Smart Helmet

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