2018 Vol. 44, No. 12

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Research on key technologies of intelligent fully mechanized mining on working face with large mining height
FAN Jingdao
2018, 44(12): 1-8. doi: 10.13272/j.issn.1671-251x.17377
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Abstract:
In order to solve problems of large number of workers and high labor intensity on fully mechanized mining face with large mining height, according to actual situation of No.2 Coal Mine of Huangling Mining Group Co., Ltd., technical difficulties such as precise control of rib spalling, soft bottom frame and equipment reliability, precision of perception and poor coordination in intelligent fully mechanized mining on working face with large mining height were analyzed. Technology route of visual remote intervention were used to realize intelligent normal mining of fully mechanized mining face with large mining height. Efficient coal mining technology, control technology of anti-rib spalling, intelligent control technology with soft bottom and broken roof were research focus. Mining efficiency of triangular coal is increased by 30% through mining process innovation; different control methods are used in different stages of rib spalling to control, and precise control of guard plate is achieved; intelligent processing under weak condition of soft bottom is completed through simulation of manual operation of descending of hydraulic support for several times, and the problem of coal piling in front of the support is solved; intelligent treatment under the condition of broken roof is completed by pulling support advanced to ensure that the roof broken area can be mined intelligently. The practice of No.2 Coal Mine shows that after adopting intelligent fully mechanized mining technology, intelligent production mode is realized which mainly based on intelligent operation of working face equipments and with the help of remote intervention control of monitoring center, as well as the “7+2” operation mode of 7 people underground and 2 people on the ground, so achieves the purpose of reducing staff and improving efficiency.
Research on underground multi-system fusion method for coal mine safety monitoring and control
QI Xiaoxiao, GUO Youmin, QI Jinping
2018, 44(12): 9-13. doi: 10.13272/j.issn.1671-251x.2018040064
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Abstract:
According to the requirements for underground multi-system fusion of Technology schemes of upgrading of coal mine safety monitoring and control system, and for the problem that fusion degree of underground monitoring and control system was not high, a new fusion sub-station with multi-communication interface and multi-sensor interface was designed. Based on the new fusion sub-station, an underground multi-system fusion method for coal mine safety monitoring and control was proposed. The fusion method adopts the new fusion sub-station to realize link level fusion, device level fusion and shared data level fusion according to field equipment acquisition interfaces, communication interfaces and fusion degree of different systems. The link level fusion can realize fusion of multiple sensor acquisition interfaces, device level fusion can realize equipment fusion of different systems, shared data level fusion can realize data sharing between different systems.
Design of multi-service linkage communication platform for coal mine
DU Zhigang
2018, 44(12): 14-18. doi: 10.13272/j.issn.1671-251x.2018080065
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Abstract:
In view of requirements in Technology schemes of upgrading of coal mine safety monitoring and control system, a design scheme of multi-service linkage communication platform for coal mine was proposed. Architecture, working principle and key technologies of the platform were discussed. Based on signaling switching technology, the platform effectively integrates existing wireless communication system, wired communication system, IP emergency broadcast system, local broadcast system to realize interconnection and centralized dispatching command of various heterogeneous communication systems, and to realize unified dispatching and one-key calling of each system in emergency. Practical application results show that the platform realizes integrated control target of production dispatching, real-time command and emergency rescue, and provides an effective means for coal mine emergency rescue and communication.
Design of mine rescuing support system
ZHANG Liya
2018, 44(12): 19-23. doi: 10.13272/j.issn.1671-251x.17372
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Abstract:
For rapid and highly efficient requirements of mine emergency handling and rescue, a mine rescuing support system was designed by analyzing environmental information in disaster scene and vital sign of rescuer. Composition of the system was introduced as well as design schemes of two detectors namely ahead underground environment detector and wearable vital sign equipment for rescuer. Rescuing support detecting method was expounded which was based on fusion analysis of vital sign of rescuer and underground environmental information. The test results show that the system realizes real-time monitoring and warning of rescuer status in rescue process and environmental condition in underground disaster scene, which ensures rescuer safety and improves rescue efficiency.
Design of safety performance detector for mine-used belt conveyer
LI Man, SHEN Junjie, ZHAO Ku
2018, 44(12): 24-29. doi: 10.13272/j.issn.1671-251x.2018030032
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Abstract:
For problems of single detecting type and limited abilities including data processing and complex function realization of existing safety performance detection instruments for mine-used belt conveyer, a safety performance detector for mine-used belt conveyer based on PXI bus was designed by use of LabVIEW virtual instrument technology. Sensors selection and distribution were expounded as well as parameters detecting principle including speed and start-up or braking acceleration of conveyer belt, power and rotation rate of motor, temperature, running environment, deflection of brake disc, clearance of brake shoe, pressure of hydraulic oil, etc. Software and hardware design schemes of the detector were also introduced. The test results show that the detector can detect main performance parameters of belt conveyer real-timely with high accuracy.
Research on grading control of mine ventilation system
WEI Yinshang, JIA Yuquan, WANG Yibo, DONG Dingwen
2018, 44(12): 30-33. doi: 10.13272/j.issn.1671-251x.2018050017
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Abstract:
In view of problem that present mine ventilation system control had not been considered from overall perspective of ventilation system, a grading control method of mine ventilation system was proposed based on structure of mine ventilation system and air volume distribution characteristics. Firstly, deviation value of ventilation condition parameters of each ventilation location is obtained by comparing real-time acquisition value and safety setting value of the ventilation condition parameters. Then the deviation value is online adjusted and modified by use of automatic correction controller, which is transmitted to PID controller to obtain ventilation condition adjustment parameters. At last, frequency converter of main fan power supply module, electric air door and air-filled air bag at the end of compressed air pipeline are respectively controlled by intelligent control module according to the ventilation condition adjustment parameters, so as to realize dynamic adjustment of air volume at three levels, which are air volume control of whole mine, air volume control of mining area and air volume control of working face. The control method meets requirements of sequential, systematic and coherent regulation of air volume in ventilation system.
Fault diagnosis for electro-hydraulic control system of hydraulic support based on big data
ZHANG Xuemei
2018, 44(12): 34-38. doi: 10.13272/j.issn.1671-251x.2018070016
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Abstract:
In view of problem that manual trouble shooting method of electro-hydraulic control system of hydraulic support cannot accurately locate certain random faults or individual system faults, hardware equipment of traditional electro-hydraulic control system was transformed by intelligent technique：Collection and transmission function of the electrical parameters of key components of the system was added; Construction of big data decision analysis service platform based on Hadoop was expounded from aspects of big data collection, transmission and processing; Big data fault diagnosis engine was designed which used parallel algorithm as the core to identify and diagnose various faults. Based on MapReduce, C4.5 decision tree classification algorithm was improved, the post-pruning technique was used to solve the problem of instability and being easy to overfit of the algorithm, and multi-classifier fusion technology was used to improve accuracy of the algorithm. The test results show that fault characteristic curves of electromagnetic pilot valve, controller, pressure sensor and stroke sensor extracted by C4.5 decision tree classification prediction engine have great differences, and through dynamic comparison and matching, fault type can be identified according to the change law of the fault characteristic curves.
Research on automatic coal caving control system
CUI Zhifang, NIU Jianfeng
2018, 44(12): 39-42. doi: 10.13272/j.issn.1671-251x.17337
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Abstract:
Aiming at problem that fully mechanized caving face at the back end of fully mechanized top coal caving face adopted manual caving control method, its automation level differed greatly from that at the front end of fully mechanized top coal caving face, an automatic coal caving control system was studied. According to inclination sensors installed on top coal caving hydraulic support and travel sensors in jacks of front or rear scraper conveyor, position and attitude of caving mechanism of the hydraulic support are controlled to achieve precise control of caving quantity; by installing pan-tilt camera and infrared transmitter on tail beam of the hydraulic support, real-time video monitoring is carried out in whole process of coal caving to realize detection and control of coal transportation quantity and straightness of the rear scraper conveyor; image gray recognition technology is used to identify coal-gangue and detect gangue content of top coal. The system improves efficiency and quality of coal caving, and provides an idea for realizing unmanned fully mechanized top coal caving face.
Research on optimization of layout method of cooling system on coal face
WANG Jie, MAO Guoyong, CHEN Haiqin
2018, 44(12): 43-48. doi: 10.13272/j.issn.1671-251x.2018010012
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Abstract:
In view of problems of serious thermal damage, local high temperature and uneven temperature distribution of long-distance coal face, on the basis of analysis of heat source on the coal face of a coal mine, a layout method of cooling quantity shunting was proposed. That is, under the condition of constant cooling quantity, the air cooler is installed in intake airflow roadway, and one ventilator is matched at the same time. The ventilator is connected with the air cooler through air duct, and part of the cooling quantity is directly transferred to the coal face by the air duct to play the role of cooling. CFD software is used to establish three-dimensional models, and the two layout methods of conventional cooling layout and cooling quantity shunting are numerically simulated respectively. The simulation results show that the distribution of the temperature field is more uniform, and the low temperature area is wider after using the layout method of cooling capacity shunting, which can effectively improve the cooling effect of coal face.
Gas concentration prediction model for fully mechanized coal mining face
LI Huan, JIA Jia, YANG Xiuyu, SONG Chunru
2018, 44(12): 48-53. doi: 10.13272/j.issn.1671-251x.17364
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Abstract:
In view of problems of gas concentration prediction method based on least squares support vector machine (LS-SVM) such as easy to fall into local optimal solution, low search efficiency and easy to occur premature convergence during parameter optimization process, a gas concentration prediction model based on ACO-LS-SVM was proposed. Firstly, k-means clustering analysis is performed on collected large amount of gas data on fully mechanized coal mining face to reduce dimension. Then, improved ant colony algorithm is used to optimize penalty parameters and kernel function parameters of LS-SVM, and the optimized parameters are substituted into the LS-SVM model for regression prediction. The simulation results show that when absolute error threshold of gas concentration is 0.03%, 0.04%, 0.05%, the prediction accuracy of the gas concentration prediction model based on ACO-LS-SVM is about 95%, which is better than SVM model and LS-SVM model.
Model space dimensionality reduction method of mine seismic wave velocity inversio
CHEN Qing, LIU Xiaowen
2018, 44(12): 54-60. doi: 10.13272/j.issn.1671-251x.2018090054
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Abstract:
For problems of slow convergence speed and large calculation amount existed in non-linear inversion methods of mine seismic wave velocity inversion, a model space dimensionality reduction method of mine seismic wave velocity inversion was proposed based on 2D fast Fourier transformation. The method can reduce model space dimensionality of mine seismic wave velocity inversion on the premise of partial loss of high frequency information through 2D fast Fourier transformation and high frequency truncation, so as to speed up seismic wave velocity inversion. The experimental results show that model space dimensionality of 50×50 grid can be reduced to 1/100 by use of the method, and on this basis, particle swarm optimization algorithm can be used to invert the seismic wave velocity, which can converge rapidly and obtain inversion value close to the theoretical value stably.
Automatic separation method of coal and gangue based on wavelet transform
CHEN Li, DU Wenhua, ZENG Zhiqiang, WANG Junyuan, WANG Riju
2018, 44(12): 60-64. doi: 10.13272/j.issn.1671-251x.2018020047
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Abstract:
In view of the problems of low recognition accuracy, multiple extraction parameters and low real-time processing efficiency of existing coal gangue recognition and separation methods based on image processing, an automatic separation method of coal gangue based on wavelet transform was proposed. The method uses wavelet analysis to do noise reduction processing of coal and coal gangue image, and adopts constructing wavelet moment to extract and analyze features of coal and gangue, calculates the feature value, and find out the obvious differences of characteristic parameters between coal and gangue, the characteristic parameters can take as the basis of coal and gangue recognition. The experimental results show that the method improves the efficiency and of on-line identification and separation of coal and gangue with high accuracy.
Research on control strategy of mine-used unified power quality conditioner
ZHONG Ningfan, ZHAI Yanqiang, ZHANG Zhenhai, FENG Zhanhua, WANG Xiaojing
2018, 44(12): 65-70. doi: 10.13272/j.issn.1671-251x.2018040059
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In view of problems of high switching loss, serious interphase interference and low DC side voltage utilization in tracking compensation current and voltage of traditional mine-used unified power quality conditioner, a constant frequency double hysteresis control strategy based on space voltage vector was proposed. Through the tracking analysis of single-phase current and voltage hysteresis loop, the function relation between the width of time delay loop with fixed switching frequency and the voltage on the grid side is obtained. Then, the width of double hysteresis loop is dynamically adjusted according to change of the grid-side voltage to ensure the constant switching frequency, which can effectively reduce switching loss while tracking compensation current and voltage. Combination of constant frequency double hysteresis loop control and space voltage vector can eliminate phase interference and improve voltage utilization rate, and can reduce current harmonics while ensuring current response speed. The simulation results show that the power quality conditioner adopting this control strategy can compensate grid voltage and current in time and effectively when voltage sag and current waveform are distorted, and the harmonic distortion rate of voltage and current after compensation is low, which ensures safe operation of coal mine power grid.
Identification and location method of asymmetric faults in coal mine power network
WANG Qingliang, QIN Jie, LIU Xinru
2018, 44(12): 71-77. doi: 10.13272/j.issn.1671-251x.2018070061
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Three asymmetrical faults of singe-phase grounding, singe-phase line breakage and ferroresonance in coal mine power network are easily misjudged, and existing methods hardly identify the three faults correctly. In order to solve above problems, fault sequence characteristics of singe-phase grounding, singe-phase line breakage and power-frequency ferroresonance were analyzed, and distribution laws of sequence current in coal mine power network were obtained, which showed that negative-sequence current only flowed through fault line and preceding power network, while negative-sequence current in non-fault lines was zero , and there was no negative-sequence current and only weak zero-sequence current in power network under the condition of ferroresonance fault. On this basis, an identification and location method of asymmetrical faults in coal mine power network was proposed. The method uses negative-sequence current to judge ferroresonance fault, zero-sequence current to identify singe-phase grounding or singe-phase line breakage fault, and distribution coefficient of negative-sequence current to locate fault line. The simulation results show that the method can identify and locate the three asymmetrical faults in coal mine power network correctly and reliably.
Underground wireless charging device deployment algorithm based on grid divisio
GUO Yu, LIU Xiaoming, FENG Kai, DING Enjie, ZHAO Duan
2018, 44(12): 78-82. doi: 10.13272/j.issn.1671-251x.17366
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Aiming at scenario of using wireless charging device to carry out energy transmission for underground wireless rechargeable sensor networks, deployment of charging device was transformed into charging coverage problem, and the optimal charging coverage model was established based on charging model. In order to obtain the approximate optimal solution of the optimal charging coverage model, a wireless charging device deployment algorithm based on grid division was proposed. The optimal position of charging device is determined through grid division and scanning, and the number of charging devices is minimized while charging coverage of all sensor nodes is satisfied. The simulation results show that when the number of sensor nodes is small, grid size has little influence on charging coverage, while charging radius has a great influence on the number of charging devices. When the number of sensor nodes is large, grid size has a certain influence on charging coverage, while charging radius has little influence on the number of charging devices. When charging radius exceeds a certain range, the number of charging devices required is almost constant.
Research on slope stability of open-pit mine under coupled seepage-stress
LI Zhu, XIE Feng
2018, 44(12): 83-88. doi: 10.13272/j.issn.1671-251x.17368
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In order to research influence of coupled seepage field and stress field on slope stability of open-pit mine, ABAQUS finite element analysis software was used to establish seepage-stress coupled control equation and finite element model of open-pit mine, and slope stability of open-pit mine was researched under coupled seepage-stress. The research results show that rock strength decreases gradually with soaking time prolonging, but when the rock reaches saturation, rock strength tends to be stable. Slope displacement under coupled seepage-stress is larger than the one without seepage, and safety factor of slope reduces with decrease of permeability coefficient of slope body. In open-pit mine field, deep displacement of monitoring points reduces after a support scheme based on shotcrete and prestressed anchor cable is implemented, which shows that the scheme can effectively control slope displacement and reduce adverse effect on slope stability of coupled seepage-stress.
Design of integrated monitoring system for large coal enterprise headquarters
CHEN Hanzhang, WANG Jisheng, WU Hao
2018, 44(12): 89-93. doi: 10.13272/j.issn.1671-251x.17359
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In view of problems of coal mines under large coal enterprises, such as large number, cross-regional distribution and multiple management levels, in order to effectively improve refined management level, an integrated monitoring system for large coal enterprises headquarters was designed. Database access, file, OPC and other means are used to achieve data collection of various heterogeneous systems; the chord tangent data compression algorithm is used to compress a large amount of raw data in coal mine site; the distributed real-time database of coal mines is realized based on NoSQL technology to realize data storage and sharing; information of underground production environment, personnel distribution, equipments operation status are visually displayed based on GIS analysis and display platform and configuration technology, which can provide auxiliary decision support for safety production scheduling of coal enterprise. The practical application results show that the system realizes real-time monitoring of safe production status of production areas of the whole enterprise, which can meet the requirements of safe storage and sharing of large volume of real-time coal mine data; data display and query based on GIS mine map method, and improves data visualization and display efficiency.
Design of multi-person cooperative emergency exercise system in coal mine
MA Yiru, ZHANG Qi, PAN Tao
2018, 44(12): 93-97. doi: 10.13272/j.issn.1671-251x.17358
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Traditional coal mine emergency exercise was restricted by environment with high cost and hidden danger, and existing coal mine emergency exercise system failed to consider multi-person coordination. In view of above problems, combining with application requirements of multi-person coordination in coal mine emergency exercise, a multi-person cooperative emergency exercise system in coal mine was designed, which included presentation layer, service layer and storage layer. By simulating and reproducing real mine environment and disaster scenario, multi-department and multi-person are organized to conduct collaborative exercise in the same space and time dimension. The pilot application results show that the system can meet nearly one hundred persons simultaneously conduct online collaborative emergency exercise, which effectively improves ability of participants to deal with disaster and cooperate with each other.
Design of remote monitoring terminal in coal mine underground
ZHANG Xi
2018, 44(12): 97-101. doi: 10.13272/j.issn.1671-251x.2018060044
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For problems of inflexible layout, high cost, difficult maintenance, short communication distance and high power consumption of existing communication mode of monitoring terminal in coal mine underground, a design scheme of remote monitoring terminal in coal mine underground was proposed. Low power consumption and wireless communication are realized based on core processor STM32F103ZET and radio frequency chip SX1278; channel state is detected by use of signal-to-noise ratio, and channel collision is avoided by use of random time backward detection method; security of data sending and receiving is guaranteed by designing custom communication protocol of application layer. The test results show that packet loss rate of the monitoring terminal is not more than 4% within 1.8 km communication distance, and average working current is about 0.058 mA. It is suitable for long-distance and low power consumption data networking transmission in coal mine.

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