2018 Vol. 44, No. 1

  Previous Issue | Next Issue 
Display Method:
Cover Catalogue
Consideration about construction of standards for mine Internet of things
ZHANG Shen, HU Qingsong, WANG Gang
2018, 44(1): 1-5.
<Abstract>(57) <HTML> (4) <PDF>(9)
Abstract:
The important significance of construction of standards for mine Internet of things(MIoT) was discussed. A general debate about the construction of MIoT, whether it was standard first or application first, was analyzed. The current status and developing tendency of construction of standards for MIoT in China were given. A brief interpretation about the plan of standard system in top-down design of MIoT was presented. Some examples were shown about which standards were covering wide range and which standards were used in specific application. It was pointed out that in the standard project establishing of MIoT, which should be first considered flexibly, standard or application. It was illustrated that the standards of MIoT should have adaptability and extensibility taking the time synchronization standard in network layer as an example.
Discussion on early warning method of coal and gas outburst
ZHAO Xusheng, NING Xiaoliang, ZHANG Qinghua, MA Guolong
2018, 44(1): 6-10. doi: 10.13272/j.issn.1671-251x.17287
<Abstract>(31) <HTML> (2) <PDF>(5)
Abstract:
Definition of early warning of coal and gas outburst was given, and difference between the early warning and forecasting was clearly pointed out. The early warning of coal and gas outburst was classified from angle of space, time and index system, and features of the early warning were put forward according to specific characteristics of coal and gas outburst disaster. System structure and implementation of the early warning were analyzed guided by system theory and accident theory. Steps of the early warning were described from five aspects of detection of risk source, warning sign identification, analysis of warning situation, alert release and early warning response. Method of effect evaluation of the early warning was put forward by using three indicators of initial warning accuracy, false negative rate and false alarm rate. The field application results show that the average accuracy rate of state warning is 89.1%, the average accuracy rate of trend warning is 92.5%, and the false negative rate is 0.
Monitoring and early warning system of coal and gas outburst based on heterogeneous data integratio
LI Mingjian
2018, 44(1): 11-16. doi: 10.13272/j.issn.1671-251x.17292
<Abstract>(47) <HTML> (1) <PDF>(4)
Abstract:
In view of problem of heterogeneous data integration in research and development of monitoring and early warning system of coal and gas outburst, the heterogeneous characteristics and typical heterogeneous data integration techniques of monitoring and forecasting data of coal and gas outburst were analyzed. A monitoring and early warning system of coal and gas outburst based on heterogeneous data integration was designed. The system uses Web services data integration model and service-oriented architecture, through WCF design to develop data integration Web services, and achieves reliable collection and deep integration of the monitoring and early warning information of coal and gas outburst. Field tests show that the system realizes automatic uploading of different kinds of early-warning information, and compared with the original comprehensive warning system for coal and gas outburst, its efficiency, reliability and accuracy of data collection and upload have greatly increased.
Research on remote intelligent monitoring and early warning system for coal and gas outburst
QIU Liming, LI Zhonghui, , WANG Enyuan, LIU Zhentang, ZHANG Younian, XIA Shankui
2018, 44(1): 17-21. doi: 10.13272/j.issn.1671-251x.17276
<Abstract>(68) <HTML> (3) <PDF>(6)
Abstract:
For the demand of automation and accuracy of coal and gas outburst early warning, a remote intelligent monitoring and warning system for coal and gas outburst was developed. The system constitution was introduced as well as key technologies including signal monitoring, interference recognition, signal transmission and early warning rules. The system takes sound acoustic emission, electromagnetic radiation and gas concentration as early warning indexes, and realizes remote monitoring and comprehensive early warning of sound acoustic emission, electromagnetic radiation and gas signals during outburst evolution process. Meanwhile, the system can automatically recognize and filter interference signals according to opening or stopping information of electromechanical equipments, so as to improve early warning accuracy of coal and gas outburst. The application result shows the system has high early warning accuracy, which can capture coal and gas outburst risk information in advance of 8-24 hours.
Research on automatic processing system of gas outburst parameters in coal mine
TAN Guowen, LI Binghang, LI Mingjian
2018, 44(1): 21-25.. doi: 10.13272/j.issn.1671-251x.17293
<Abstract>(38) <HTML> (3) <PDF>(4)
Abstract:
In view of problems such as bad timeliness, heavy workload, inconvenient data storage, query and analysis of traditional manual processing method of gas outburst parameters, an automatic processing system of gas outburst parameters was designed. WiFi wireless communication module was add to WTC gas outburst parameter meter to make it automatically obtain underground IP address and access wireless network, so as to automatically upload gas outburst parameters. Using SQL Server database management system, according to data attribute matching and measuring time relationship, the system searches and stores drilling numbers and measured depth information corresponding to forecasting indicators uploaded by the gas outburst parameter meter in sequence, and generates outburst forecasting form. Field test results show that the system achieves automatic upload of gas outburst parameters, automatic generation of outburst prediction forms and LAN share and inquiring of outburst forecasting information, and the data upload accuracy researches above 98.2%.
Experimental analysis of isothermal adsorption and desorption characteristics of gas in coal samples with multi grain sizes: A case study on No.3 coal in Sihe Coal Mine
ZHOU Wei, YUAN Liang, XUE Junhua, HE Guanghui, LUO Yong, DUAN Changrui, REN Bo
2018, 44(1): 26-30. doi: 10.13272/j.issn.1671-251x.17277
<Abstract>(74) <HTML> (5) <PDF>(5)
Abstract:
In order to study influence of adsorption pressure and grain size of coal sample on coal gas desorption, the No.3 coal in Sihe Coal Mine was selected as samples, and variety characteristics of gas desorption amount and desorption speed of coal samples with 0.17-0.25, 0.25-0.50, 1-3 mm grain sizes were analyzed at 1, 1.5, 3 MPa adsorption pressure by use of a gas isothermal adsorption and desorption experiment system. The experimental results show that under different adsorption pressure conditions, the gas desorption amount of the coal samples and initial desorption speed increase with the increase of adsorption on the whole. However, the influence of adsorption pressure on gas desorption amount and desorption speed of coal samples with 0.25-0.50 mm grain size is smaller than the other two grain sizes. The initial gas desorption amount of coal samples with smaller grain sizes is more than the one of the coal sample with bigger grain size under different adsorption pressure conditions, and the initial desorption speed is faster. But the gas desorption amount of the coal sample with 1.0-3.0 mm grain size is more than the one of the others under 1.5, 3 MPa adsorption pressure condition. Therefore, increasing adsorption pressure of coal sample or reducing grain size would cause increase of gas desorption amount and desorption speed.
On-line monitoring system of working face footage based on radar ranging
ZHANG Qinghua, NING Xiaoliang, ZHAO Xusheng, DENG Ganbo
2018, 44(1): 31-34. doi: 10.13272/j.issn.1671-251x.17280
<Abstract>(36) <HTML> (1) <PDF>(5)
Abstract:
The working face footage acquired by traditional artificial static measurement technology has non-continuous and poor time-effectiveness, and ca't satisfy requirement of on-line real-time warning. For the above problem, an on-line monitoring system of working face footage based on radar ranging was designed. The system uses combination arrangement process of response radar ranging sensor and reflection radar ranging sensor to overcome shortcomings of short measuring range of the reflection radar and solve problem of difficult installatipn and maintainance of the response radar. Principle of the radar ranging was analyzed, and mine-used intrinsically safe radar ranging sensor composed of the reflection radar ranging sensor and response radar ranging sensor was developed. The test result shows that the system can stably and reliably realize on-line monitoring, real-time collection and analysis of working face footage. When measuring distance is less than 200 m, the maximum absolute error is 0.24 m, and the measuring distance and accuracy can meet the needs of gas disaster early warning.
Video cooperated intelligent identification weighbridge management system for coal mine
YANG Bo, ZHU Xuran, SUN Yanjing, LU Nannan, CHEN Yan, WU Tianqi
2018, 44(1): 35-39. doi: 10.13272/j.issn.1671-251x.17303
<Abstract>(39) <HTML> (1) <PDF>(5)
Abstract:
For the problems of low working efficiency and poor quality caused by artificial information acquisition existed in traditional weighbridge weighing management systems of coal mine as well as frequent coal stealing phenomenon caused by lack of cheat-prevention measures, a video cooperated intelligent identification weighbridge management system for coal mine designed. The system composition, principle of video cooperated intelligent identification weighbridge, system working flow and software functions were introduced in details. The system is composed of video monitoring system, vehicle capture system and data acquisition system, and realizes intelligent monitoring for weighbridge business in coal mine based on license plate recognition and multi-feature matching by use of technologies of digital image processing, convolutional neural network and computer network. The application results show that the system has high reliability with simple operation, which decreases artificial workload effectively and prevents chat and coal stealing phenomenon.
Research on surge protection technology of coal mine safety monitoring system
ZHANG Ziliang
2018, 44(1): 40-43. doi: 10.13272/j.issn.1671-251x.17275
<Abstract>(47) <HTML> (2) <PDF>(5)
Abstract:
The conventional surge protection technology was introduced. Based on theoretical research and standard test of electromagnetic compatibility surge protection technology in coal mine safety monitoring system, it was indicated that the conventional surge protection technology had certain unsuitability to coal mine products. Two major conflicts were focused on, which were between the conventional common-mode surge protection technology and insulation withstand voltage requirements of coal mine equipments as well as the conventional system-level surge protection design and intrinsic safety requirements of coal mine electrical equipments. The two conflicts were analyzed in principle and corresponding solutions were given finally.
A testing device for intrinsically safe multi-circuit protection power supply
REN Gaojian, LU Yuanxiang, YOU Qingshan, FU Shaohua
2018, 44(1): 44-49. doi: 10.13272/j.issn.1671-251x.2018.01.002
<Abstract>(64) <HTML> (1) <PDF>(9)
Abstract:
In order to solve problems of inconvenient operation, complicated process and low accuracy of existing test methods of intrinsically safe power supply, a testing device for intrinsically safe multi- circuit protection power supply was designed. The device consists of adaptive voltage module and adaptive current module, control module, and has testing functions of intrinsically safe power supply and safety power supply module with 12, 18, 24 V power supply. Adaptive voltage module loads input power with rated voltage value to measured intrinsically safe power supply when tested voltage, output power end of measured intrinsically safe power supply is no-load, control module managements output voltage value of adaptive voltage module, and monitors output voltage of safety protection circuit at the corresponding levels is normal or not, so as to realize voltage testing at the corresponding levels; Adaptive voltage module loads input power with rated voltage value to measured intrinsically safe power supply when tested current, adaptive current module is loaded to output power end of measured intrinsically safe power supply, control module managements load current value of adaptive current module, and monitors output voltage of safety protection circuit at the corresponding levels is normal or not, so as to realize current testing at the corresponding levels; Control module can control switch ammong multiple protection circuit testing. The test results show that the device can automatically identify different voltage grade of intrinsically safe power supply, automatically load different power load, and can automatically warn and accurately analyze performance of the power supply, which implements automation and intellectualization of testing of intrinsically safe multi-circuit protection power supply.
Research status and application prospect of big data technology in coal industry
MA Xiaoping, DAI Wei
2018, 44(1): 50-54. doi: 10.13272/j.issn.1671-251x.2018.01.2017100022
<Abstract>(26) <HTML> (3) <PDF>(8)
Abstract:
On the basis of characteristic of coal big data such as volume, velocity, variety, veracity, visibility and value, research status of coal big data was introduced from aspects of theory of coal big data, relationship among coal big data, Internet of things and cloud computing, and construction of coal big data platform. New features of coal big data such as multi-layer non-uniform sampling, multi-time scale characteristic and non-veracity data confounding, and challenge of coal big data analysis caused by the new features were analyzed. Functions of coal big data platform were prospected from aspects of big data collection and management, big data analysis and big data sharing. Possible development direction of big data technology in coal industry was discussed from application field.
Numerical simulation research on damage characteristics and acoustic emission response of coal with pre-existed cracks
CHEN Pan, LI Dexing
2018, 44(1): 55-63. doi: 10.13272/j.issn.1671-251x.2017070063
<Abstract>(34) <HTML> (3) <PDF>(4)
Abstract:
In order to research influences of crack inclination angle on damage characteristics and acoustic emission characteristics of coal, numerical simulation of coal with pre-existed cracks of different inclination angles under uniaxial compression was conducted using RFPA2D numerical simulation software, and crack propagation mode, mechanical properties and acoustic emission response influenced by crack angel were analyzed. The analysis results show that the main fracture extends in the direction perpendicular to the middle of the pre-existed crack when pre-existed crack angle (α) is 0°. For specimens with α of 15,30,45,60,75°, the main crack propagation mode are typical wing crack, or Y-shaped crack propagation mode developed from wing crack. However, there is randomness in the distribution of the main cracks of the specimen with crack angel of 90° and the intact specimen. The existence of cracks reduces the peak strength and modulus of elasticity of the coal, and the peak strength and modulus of elasticity both increase with pre-existed crack angel, the former increases with the relation of quadratic function, and the latter increases as inclined "S". In addition, with the increase of the inclination angle, the specimens gradually transform from ductile failure to brittle fracture. When main fracture occurs the instantaneous acoustic emission count has a periodic increase, namely the instantaneous acoustic emission count increases in turn at three stages when α is 0-45, 60-75, 90° and the intact specimen.
Simulation analysis of shearer drum cutting coal-rock under oblique cutting conditio
YUAN Bin, WANG Yiliang, YANG Zhaojian
2018, 44(1): 64-68. doi: 10.13272/j.issn.1671-251x.2018.01.2017090011
<Abstract>(27) <HTML> (1) <PDF>(4)
Abstract:
In order to study movement rule and force characteristic of shearer drum under oblique cutting condition, virtual prototype model of shearer under oblique cutting condition was established by use of ADAMS, and movement curve of shearer drum was obtained through motion simulation, which was used as drum movement boundary condition. LS-DYNA was used to simulate shearer drum cutting coal-rock under oblique cutting condition, and force characteristic of drum under oblique cutting condition was obtained. The simulation results show that cutting resistance and traction resistance of drum gradually increase and eventually become stable under oblique cutting condition, and the cutting resistance is 2 times as much as the traction resistance. Axial force of drum first increases and then decreases, the maximum axial force occurs when axial displacement of drum reaches the maximum, and the axial force and axial displacement of drum are closely related. Torque of drum is mainly generated by the cutting resistance and the axial force, and change trend of the torque is consistent with that of the force generating the torque.
An experimental research on ultrasonic parameters of coal
LIU Guanhua, YANG Chen, LIU Haoxiong
2018, 44(1): 68-73. doi: 10.13272/j.issn.1671-251x.2018.01.003
<Abstract>(74) <HTML> (1) <PDF>(6)
Abstract:
Ultrasonic velocity, attenuation coefficient, time domain and frequency domain features in anthracite coal of Daanshan and fat coal of Sanhejian were studied by acoustic emission experimental techniques. Research results indicate that affected by voidage and moisture content, the mean wave velocity in anthracite coal is larger than that of the average velocity in fat coal, and the mean value of its attenuation coefficient is lower than that of attenuation coefficient in fat coal.Time domain and frequency domain features of ultrasonic are influenced by coal quality and waveform frequency,anthracite has greater amplitudes of main frequency and shorter decay period than fat coal.When the wave frequency increases, the decay time decreases and energy of transmission waveform is more gathered in main frequency. These conclusions can provide theory basis for determination of coal quality and type before coal mining.
Design of dual-motor driving control system of belt conveyor
WANG Dinglong, WANG Ranfeng, LAI Chunli
2018, 44(1): 74-78. doi: 10.13272/j.issn.1671-251x.2018.01.001
<Abstract>(56) <HTML> (1) <PDF>(5)
Abstract:
In view of problems of low efficiency, difficult to guarantee speed synchronization and power balance of double-motor for that traditional dual-motor driving control system of belt conveyor adopts drive method of hydraulic coupler or liquid-viscosity driving device, a design scheme of dual-motor driving control system of belt conveyor based on direct torque control strategy was put forward. The system adopts one rectifier and two contravariant combined converter to drive the belt conveyor with master-slave control mode, and the master inverter adjusts output torque according to rated output power ratio of the two motor, so as to the system can run stably with a given speed. The simulation results show that the system realizes synchronous control of speed and torque of the double motor of belt conveyor, and implements power balance with good dynamic and static performance.
Research on stability of suspension support system of permanent magnetic suspension belt conveyor
HU Kun, LIU Yang, WANG Fangtao, CHENG Gang
2018, 44(1): 79-84. doi: 10.13272/j.issn.1671-251x.2018.01.2017070027
<Abstract>(24) <HTML> (1) <PDF>(6)
Abstract:
A 3D model of suspension support system of permanent magnetic suspension belt conveyor was established. Stability of permanent magnetic suspension support system under different magnetic conveyor belt shape, permanent magnet arrangement, permanent magnet shape and partial load condition were simulated. The results show that stability of groove-type magnetic conveyor belt is better than that of flat-type and V-type magnetic conveyor belts with stable bearing capacity. Stability and bearing capacity of conveyor belt are better when permanent magnet has groove-type structure. Partial load will increase deviation of magnetic conveyor belt. In order to effectively solve deviation problem of magnetic conveyor belt, an anti-deviation device for groove-type magnetic conveyor belt was designed. By installing auxiliary rollers on both sides of the groove-type magnetic conveyor belt, stability of the suspension support system of permanent magnetic suspension belt conveyor can be further improved.
Application research of DHNN model in prediction of classification of rockburst intensity
XU Jia, CHEN Junzhi, LIU Chenyu, WANG Jiaxin, LONG Gang, LI Chunyi
2018, 44(1): 84-88. doi: 10.13272/j.issn.1671-251x.2017050027
<Abstract>(43) <HTML> (1) <PDF>(4)
Abstract:
In view of problems of randomness and subjectivity in determining weight of existing rockburst prediction methods，a discrete Hopfield neural network (DHNN) model for prediction of classification of rockburst intensity was proposed。The model selects stress coefficient, rockbrittleness coefficient and elastic energy index as evaluation index, divides rockburst grade into 4 stages, such as strong rockburst, medium rockburst, weak rockburst and no rockburst, then encodes them. The model need't normalize sample data with simpler encoding ,lesser iterations of network and better associative memory ability, only be converted to "1" and "-1" of the two value model, therefore, the classification prediction of rockburst intensity is more scientific and reasonable. The model can provide a new way for classification prediction of rockburst intensity in deep underground engineering. The prediction results of typical rockburst engineering examples prove the correctness of the model.
Research on PFC-PID control algorithm of density and liquid level in heavy medium suspensio
GUO Xijin, SHAO Hongqing, YANG Chunbao, ZHANG Zhiqiang
2018, 44(1): 89-95. doi: 10.13272/j.issn.1671-251x.2017030088
<Abstract>(76) <HTML> (4) <PDF>(5)
Abstract:
In order to solve problems of big lag and strong coupling of density and liquid level of heavy medium suspension in heavy medium coal preparation control system, a mathematical model of density and liquid level control system of heavy medium suspension was established and PFC-PID control algorithm of density and liquid level in heavy medium suspension was put forward on the basis of decoupling the system. Closed-loop control method is adopted to control density and liquid level, namely, PID control technology is used to control decoupled system and make the system stable in inner loop, and PFC control technology is used to solve problem of delay in outer loop, inner loop is taken as generalized prediction objects of outer loop. The simulation results show that the control algorithm has characteristics of low overshoot volume, short setting time and small static error and good ability of anti-interference, and has better control effect than traditional PID control technology.
Optimization of starting and stopping technology for coal flow system of coal preparation plant
ZHOU Chengjun, ZHANG Xinming, TAO Yadong
2018, 44(1): 95-98. doi: 10.13272/j.issn.1671-251x.2018.01.2017070036
<Abstract>(23) <HTML> (3) <PDF>(4)
Abstract:
For problems of long starting and stopping time and large power consumption existed in current starting and stopping technology for coal flow system of coal preparation plant, an optimization scheme of starting and stopping technology for coal flow system of coal preparation plant was proposed. Equipments of coal flow system powered by the same transformer are taken as starting unit. Equipments in the same starting unit start simultaneously or start in batches in set sequence according to load factor of the transformer, and different starting units start simultaneously. No-coal time node of each equipment of coal flow system is measured manually, and equipment stopping time node delays 3-5 seconds behind the no-coal time node, so as to realize each equipment stopping wihout coal immediately according to direction of coal flow. The actual application results show that starting time reduces 57.9% and stopping time reduces 35.2% by use of the optimization scheme, which achieves good energy-saving effect.
Design of underground material management system based on mine Internet of things
GAO Bin, DING Enjie, DONG Fei, ZHAO Duan, ZHANG Di
2018, 44(1): 99-103. doi: 10.13272/j.issn.1671-251x.2018.01.2017070022
<Abstract>(18) <HTML> (2) <PDF>(4)
Abstract:
In order to solve problems of disordered underground material management, delayed and inaccurate information of material consumption and wasted labour, an underground material management system based on mine Internet of things was designed. Internet of things architecture of the system was given and function module design of the system was described. Material information collected from working environment is obtained by active RFID tag and intelligent handheld terminal, and uploaded to data sever through WiFi gateway. The data is processed in the server and stored in database, and the processed data is accessed, processed and displayed by Web technology. Therefore, real-time monitoring and management of life cycle of underground material can be achieved.

苏ICP备 05016349号-2

Supported by: Beijing Renhe Information Technology Co. Ltd.  Visits：