Research on Coal Mine Roadway Safety Monitoring System Based on Zigbee

With the higher and higher demands to the safety in coal mines and the development of the enterprises themselves, the security problems in coal mines already become the most important ones. Because of many hidden dangers existing in coal mines, the accidents that make the heavy economic losses and personnel casualty occurs frequently in China coal mines. It shows that the existing safety monitoring systems in coal mines has some insufficiencies. By researching on the collection of human physiology information, the design of wireless sensor network node and wireless networking technology, the system applies ZigBee technology into the environment of coal mine roadway safety production, which realizes the detecting of daily work environment of coal mine roadway as well as the real time monitoring of the location and status of the trapped people underground when safety accident happens so as to provide accurate information for rescue.

Download Full-text

Predicting Hidden Danger Quantity in Coal Mines Based on Gray Neural Network

Symmetry ◽

10.3390/sym12040622 ◽

2020 ◽

Vol 12 (4) ◽

pp. 622

Author(s):

Hongze Zhao ◽

Qiao He ◽

Zhao Wei ◽

Lilin Zhou

Keyword(s):

Neural Network ◽

Coal Mine ◽

Large Scale ◽

Safety Management ◽

Coal Mines ◽

Development Trend ◽

Good Prediction ◽

Average Value ◽

Normal Distribution Curve ◽

Safety Production

The hidden danger is the direct cause of coal mine accidents, and the number of hidden dangers in a certain area not only reflects the current safety situation, but also determines the development trend of safety production in this area to a large extent. By analyzing the formation and development law of the hidden dangers and hidden danger accident-induced mechanism in coal mines, it is concluded that there are some objective laws in the process of occurrence, development, weakening, and even stabilization of hidden dangers in a certain area. The development of the number of hidden dangers for a coal mine generally presents the law of similar normal distribution curve, with a certain degree of partial symmetry. Many years of hidden danger elimination in coal mines will accumulate large-scale hidden danger data. In this paper, by using the average value of hidden danger quantity in consecutive months to weaken the oscillation of hidden danger quantity sequence, and combining with gray model (1,1) and the neural network of extreme learning machine, and employing big data of hidden dangers available, a hidden danger quantity prediction model based on the gray neural network was established, and the experimental analysis and verification carried out. The results show that the model can achieve good prediction effect on the number of hidden dangers in a coal mine, which not only reflects the complex gray system behavior of hidden dangers of a coal mine, but also can predict dynamically. The safety management efficiency and emergency capacity of the coal mine enterprise will be greatly improved.

Download Full-text

Development of a New Type of Hydraulic Drilling Car Used in Coal Mine

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.522.556 ◽

2012 ◽

Vol 522 ◽

pp. 556-559 ◽

Cited By ~ 1

Author(s):

Ming Zhu Zhang ◽

Yong Dai ◽

Bo Guo

Keyword(s):

Coal Mine ◽

Coal Mines ◽

Hydraulic Pressure ◽

Directional Drilling ◽

Coal Gas ◽

Drilling Equipment ◽

Underground Coal Mines ◽

Safety Production ◽

New Type ◽

Structure Layout

Coal gas accident is the main threat to the safety production in coal mine,it needs a safe and efficient drilling equipment to detection and drainage in the gas area.At present,the equipments detect and drainage in underground coal mines are mainly fission rigs,which move time-consuming, and the efficiency of drilling is low.This paper introduces a new kind of full hydraulic drill car used in coal,it includes the integral design of the car, the structure layout, the drilling arm and the main parts of design ideas.The new drill carriage adopts the caterpillar vehicle structures,full hydraulic pressure drives,it can automatically change the drill rod, prevent bit-stuck device,can freely passage in the narrow roadway,arrived at the reservation of the drilling position and carries on the omni-directional drilling,it can meets various mine construction requirements, and it has a broad market prospect.

Download Full-text

Research and Design of Coal Mine Safety Monitoring System Based on the Wireless Network and WEB

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.753-755.2256 ◽

2013 ◽

Vol 753-755 ◽

pp. 2256-2260

Author(s):

Rong Ming Yang

Keyword(s):

Monitoring System ◽

Coal Mine ◽

Full Range ◽

Safety Monitoring ◽

Mine Safety ◽

Economic Losses ◽

Surveillance Systems ◽

Coal Mine Safety ◽

Safety Monitoring System ◽

Research And Design

In recent years, there are a lot of safety accidents in China's coal mine, it causing heavy casualties and huge economic losses, so the coal mine production safety situation is very grim. In order to improve this situation, we research and design a set of coal mine safety monitoring system. Its underlying uses a technology which is ZigBee, it is short-range, low-speed wireless networks, and it connecting the coal mine of numerous sensor and video surveillance systems. Monitoring interface uses a Web way constitute a complete set of coal mine safety monitoring system in order to be able to burst in coal mine disasters in a full range of monitoring, and to avoid the occurrence of safety accidents. In this paper, the overall coal mine safety monitoring system theory and specific design.

Download Full-text

Study and analyze the development of China coal mine safety management

International Journal of Energy Sector Management ◽

10.1108/ijesm-08-2015-0002 ◽

2017 ◽

Vol 11 (1) ◽

pp. 80-90 ◽

Cited By ~ 3

Author(s):

Lian-jiang Wei ◽

Jian-kun Hu ◽

Xin-rong Luo ◽

Wei Liang

Keyword(s):

Coal Mining ◽

Coal Mine ◽

Safety Management ◽

Coal Mines ◽

Coal Industry ◽

Mine Safety ◽

Content Type ◽

Coal Mine Safety ◽

Safety Production ◽

Safety Investment

Purpose The purpose of this paper is to devise novel methods for effectively reducing China’s coal mining accidents via analysis of the relation between coal mine safety production and social factors. Design/methodology/approach The variations and characteristics of the safety production for coal mines in China from 1949 to 2013 are studied via induction and statistical analysis of data from the perspective of mortality rate per million tons, raw coal output and death tolls. It is analyzed that the relationship between coal mine safety production level and social economic, safety investment via SPSS. Findings Analysis of the coal mine safety management evolution across the 64 years after the founding of China demonstrates that China’s coal mine safety management evolution is partitioned into four stages, and there is the coupling relation between coal mine safety production and structure the of coal industry, government supervision and safety investment. By discussing the similarity between China and America in coal mine safety management evolution, it is found that the rapid increase in the number of accidents during the transformation from agricultural to industrial society is not accidental. Practical implications The suggestions in this paper are helpful to improve the current safety situation in China’s coal mines and provide management experience to other coal mining countries. Originality/value Based on present and future socioeconomic development, it is proposed that the coal mine safety situation can be further enhanced by properly adjusting the structure of the coal industry, strengthening supervision and ensuring safety investment.

Download Full-text

Exploration on Prevention Methods of Flooding Accidents Caused by Goaf Water in Small Coal Mine Groups

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.347-353.258 ◽

2011 ◽

Vol 347-353 ◽

pp. 258-263

Author(s):

Ming Qiang Yang ◽

De Xi Song

Keyword(s):

Coal Mine ◽

Recovery Rate ◽

Coal Mines ◽

Coal Bed ◽

Prevention And Treatment ◽

Safety Production ◽

Scientific Practical ◽

Prevention Methods

This paper summarizes the working experiences in prevention and treatment of flooding accidents caused by goaf water in Zhangcun Coal Mine, Pingdingshan Ruiping Company, and puts forward a number of scientific, practical and effective methods for it, including “inspection”, “exploration”, “dredging”, “drainage”, “prevention”, “hiding” and “management” . In addition, the methods discussed in this paper have great significance for safety production in coal mines and helps to improve the recovery rate of shallow coal bed in area where small coal mines concentrate.

Download Full-text

An Analysis of the Existing Problems of China's Coal Mine Safety Monitoring and Control System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.644-650.1089 ◽

2014 ◽

Vol 644-650 ◽

pp. 1089-1092 ◽

Cited By ~ 1

Author(s):

Xing Zhi Hu ◽

Ji Kun Wang ◽

Xue Zhe Li ◽

Jia Li

Keyword(s):

Monitoring System ◽

Coal Mine ◽

Safety Monitoring ◽

Mine Safety ◽

Monitoring And Control ◽

Monitoring And Control System ◽

Existing Problems ◽

Coal Mine Safety ◽

Safety Monitoring System ◽

Safety Production

Coal Mine Safety Monitoring System is an important material guarantee for Coal Mine Safety Production. At present,most China's coal mines have established safety monitoring system, but in the use of safety monitoring system we've found many problems. In order to solve these problems ,our paper put forward some practical solutions. [1].

Download Full-text

Identification and Appraisal of the Major Risk Accident in Coal Mine Production

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.94-96.2217 ◽

2011 ◽

Vol 94-96 ◽

pp. 2217-2221

Author(s):

Yang Wang ◽

Ying Wei Ren ◽

Hong Min Zhou

Keyword(s):

Risk Factors ◽

Coal Mine ◽

Safety Management ◽

Scientific Basis ◽

Mine Safety ◽

Coal Mine Safety ◽

Mine Production ◽

Safety Production ◽

Safety Accident ◽

Production Decision

The coal mine safety accident is a significant problem to be faced in our country's coal mine safety management. Facing the increasing situation of coal mine safety production, it is very important to analyze the key risk factors from the every aspect of coal mine production. In this paper, the problem is analyzed by AHP. The analysis result is a very valuable reference for producers because it can provide scientific basis for coal mine safety production decision-making.

Download Full-text

Application of Sliding Window-Genetic Programming Algorithm in Alert and Forecast for Mine Safety Monitoring

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.605-607.855 ◽

2012 ◽

Vol 605-607 ◽

pp. 855-858

Author(s):

Ru Hong Ma ◽

Xiao Hui Dong ◽

Jian Lin Wang

Keyword(s):

Genetic Programming ◽

Coal Mine ◽

Sliding Window ◽

Safety Monitoring ◽

Mine Safety ◽

Monitoring Data ◽

Programming Algorithm ◽

The Real ◽

Safety Accident

SW-GP (Sliding Window-Genetic Programming) algorithm is provided to implement dynamic forecast of monitoring data in order to more effectively utilize coal mine monitoring data to alert and forecast safety accident. In the program, sampling data is obtained by sliding window technology and model is founded automatically by GP algorithm. The result of instance shows that forecasting values from the model well agree with the real values, which explains that employing SW-GP modeling can settle problem for alert and forecast for mine safety monitoring data satisfactorily.

Download Full-text