Detonating Gas Simulation Experiment System Based on the Dynamic ESD Model on Human Body

2011 ◽  
Vol 704-705 ◽  
pp. 407-411
Author(s):  
Xiu Jie Dong ◽  
Xu Chen ◽  
Jing Chang Zhang ◽  
Liang Zhang
Keyword(s):  
Software Design ◽  
Human Body ◽  
Coal Mine ◽  
Simulation Experiment ◽  
Dynamic Change ◽  
Mixed Gas ◽  
Gas Detonation ◽  
Experiment System ◽  
Gas Concentration ◽  
Mine Environment

Variation of dynamic electrostatic discharge (ESD) on human body that miners’ voltage,capacitance and resistance varies with the body’s dynamic change in coal mine environment is studied. A circuit model of the body’s dynamic ESD in coal mine environment is constructed. The simulation experiment system of the gas detonation by the human body ESD in coal mine is developed successfully. System principle, system hardware design and system software design is expounded. Simulation experiments with different body’s ESD model and the discharge gap has been done. Experimental results show that the system can be carried out series of experiments of the human body ESD model detonating mixed gas, it is concluded that the gas concentration that is the easiest to be detonated is about 8.7%. but not the higher gas concentration is , the more explosive is. The results provide an theoretical and experimental evidence for the safe electrostatic production and management in coal mine Keywords:simulation experiment system; dynamic ESD model ; hardware and software design ; human body capacitance

The Research and Implementation of Electrostatic Detonating Gas Simulation Experiment System Controller Based on Nios II

2011 ◽  
Vol 219-220 ◽  
pp. 750-753
Author(s):  
Xiu Jie Dong ◽  
Sheng Jie Ma ◽  
Qi Xiao Sun ◽  
Liang Zhang
Keyword(s):  
Human Body ◽  
Simulation Experiment ◽  
Electrostatic Discharge ◽  
Gas Explosion ◽  
Experiment System ◽  
Gas Concentration ◽  
Nios Ii ◽  
Series Of Experiments ◽  
System Controller ◽  
Detonating Gas

The electrostatic discharge detonating gas simulation experiment system based on Nios II is developed in this paper.This system uses flexible and highly efficient SOPC technology,which embeds many functional modules.The system can simulate the mine gas environment, measure the oxygen, temperature and the gas concentration that most likely detonating gas, and real-time display in the LED screen, so as to obtain important data of gas explosion in coal environmental, which provide theoretical and experimental basis for farmulating standards of electrostatic security of human body and the safety of production in coal mine. It can conduct a series of experiments about electrostatic discharge of human body detonating gas mixture.

Study on Coal Mine Gas Monitoring System Based on Arduino

2014 ◽  
Vol 1073-1076 ◽  
pp. 2173-2176 ◽  
Author(s):  
Hui Chun Gao ◽  
Chao Jun Fan ◽  
Jun Wen Li ◽  
Ming Kun Luo
Keyword(s):  
Monitoring System ◽  
Coal Mine ◽  
Low Cost ◽  
Gas Monitoring ◽  
Underground Coal Mine ◽  
Gas Concentration ◽  
Coal Mine Gas ◽  
Good Market ◽  
Mine Gas ◽  
Sd Card

Aimed at the frequency gas accident of coal mine, we designed a coal mine gas monitoring system based on Arduino microcontroller. The MQ-4 gas sensor was used to collect gas concentration, wireless ZigBee was used to transfer data of gas concentration to PC. The system can display gas concentration real-timely by LCD and use SD card to store the data. The system will send out sound and light alarm when the gas concentration overruns. Industrial tests have been carried out in Wuyang coal mine. Results show that gas monitoring system can well adapt to environment of underground coal mine and the measurement is accurate. The system is real-time monitoring and early warning. It has the characteristics of low power consumption, low cost, wireless, good market prospect.

Hardware Design of Coal Mine Safety Monitoring System Based on WSN

2012 ◽  
Vol 546-547 ◽  
pp. 1483-1488
Author(s):  
Shu Ren Han ◽  
Jun Wang ◽  
Ling Liang ◽  
Xian Peng Liu
Keyword(s):  
Monitoring System ◽  
Coal Mine ◽  
Hardware Design ◽  
Mine Safety ◽  
Sink Node ◽  
Function Structure ◽  
Gas Concentration ◽  
Coal Mine Safety ◽  
Safety Monitoring System ◽  
Safety Production

In the safety production of coal mine, monitoring exact and real-time mine parameter is very important and key problem. The monitoring system of mine environment with wireless is designed, which is based on the structure of wireless sensor network (WSN).The system includes sensor node, Sink node and monitoring center. In the paper, the function structure and hardware design of sensor are introduced for the monitoring of temperature, humidity and gas concentration, and the function structure and hardware design of sink node is designed. The system has low power, rapid real-timing, stable running. Etc. This can satisfy with the requirement of WSN and suit the monitoring of bad environments. It will have wide application prospect.

scholarly journals Anomaly Detection for Time Series with Difference Rate Sample Entropy and Generative Adversarial Networks

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Keke Gao ◽  
Wenbin Feng ◽  
Xia Zhao ◽  
Chongchong Yu ◽  
Weijun Su ◽  
...  
Keyword(s):  
Time Series ◽  
Anomaly Detection ◽  
Normal Mode ◽  
Coal Mine ◽  
Spontaneous Combustion ◽  
Sample Entropy ◽  
Generative Adversarial Networks ◽  
Detection Accuracy ◽  
Gas Concentration ◽  
Adversarial Networks

The spontaneous combustion of residual coals in the mined-out area tends to cause an explosion, which is one kind of severe thermodynamic compound disaster of coal mines and leads to serious losses to people's lives and production safety. The prediction and early warning of coal mine thermodynamic disasters are mainly determined by the changes of the index gas concentration pattern in coal mine mined-out areas collected continuously. The time series anomaly pattern detection method is mainly used to reach the state change of gas concentration pattern. The change of gas concentration follows a certain rule as time changes. A great change in the gas concentration indicates the possibility of coal spontaneous combustion and other disasters. To emphasize the features of collected maker gas and overcome the low anomaly detection accuracy caused by the inadequate learning of the normal mode, this paper adopted a method of anomaly detection for time series with difference rate sample entropy and generative adversarial networks. Because the difference rate entropy feature of abnormal data was much larger than that of normal mode, this paper improved the calculation method of the abnormal score by giving different weights to the detection points to enhance the detection rate. To verify the effectiveness of the proposed method, this paper employed simulation models of the mined-out area and adopted coal samples from Dafosi Coal Mine to carry out experiments. Preliminary testing was performed using monitoring data from a coal mine. The experiment compared the entropy results of different time series with the detection results of generative adversarial networks and automatic encoders and showed that the method proposed in this paper had relatively high detection accuracy.

The Software Design of Underground Mine Personnel Management System

2013 ◽  
Vol 373-375 ◽  
pp. 1763-1767
Author(s):  
Si Hai Zhao ◽  
Wei Kang Dong ◽  
Ge Guo ◽  
Ji Ye Gao
Keyword(s):  
National Security ◽  
Personnel Management ◽  
Software Design ◽  
Coal Mine ◽  
Management System ◽  
Can Bus ◽  
Industrial Ethernet ◽  
Database Structure ◽  
Design Software ◽  
Personnel Management System

According to the requirements of National security Supervision department,aimed at the low safety factor and the backward of personnel management, a coal mine underground personnel management system has been developed. The system adopted the Industrial Ethernet and CAN bus for transmission medium, disposed and managed the data from substation in time. This article introduced the framework of Design software and the main functions module of the software and database structure.

Distributed gas concentration prediction with intelligent edge devices in coal mine

2020 ◽  
Vol 92 ◽  
pp. 103643
Author(s):  
Yiwen Zhang ◽  
Haishuai Guo ◽  
Zhihui Lu ◽  
Lu Zhan ◽  
Patrick C.K. Hung
Keyword(s):  
Coal Mine ◽  
Gas Concentration ◽  
Concentration Prediction
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