2018 Vol. 44, No. 10

Display Method:
Design of information support system of coal flow line of coal mine main transportatio
JIANG Wei, WU Gaozhen
2018, 44(10): 1-5. doi: 10.13272/j.issn.1671-251x.2018010037
Abstract:
In view of problems of various monitoring systems, redundant information and low degree of coordination along the main coal flow transportation line in coal mine, an information support system of coal flow line of coal mine main transportation was designed. High-performance configuration software is used to build an unified software monitoring platform to collect and fuse information of several monitoring systems, which realizes functions of information display, statistical analysis, alarm pushing and cooperative control of belt conveyor cluster. The application results show that the system can improve information acquisition mode, improve the level of system integration, and enhance production efficiency.
Design of coal mine blasting monitoring system based on accurate personnel positioning
WU Wei, TANG Lijun, JIANG Decai
2018, 44(10): 6-9. doi: 10.13272/j.issn.1671-251x.2018050030
Abstract:
In view of problem that existing coal mine blasting monitoring system could not accurately monitor position of personnel in blasting area, and it was easy to cause false detection and missed detection of personnel in blasting area, a coal mine blasting monitoring system based on accurate personnel positioning was designed. The system monitors position distribution and identity information of personnel in blasting area by use of dynamic target recognizer with accurate personnel positioning function. Combining with gas concentration in blasting area, it judges whether the blasting area meets safe blasting conditions such as group leader, blasting member and gas inspector are all near blasting warning point, no personnel in the blasting area and gas concentration do not exceed limit. When the safe blasting conditions are met, wireless exploder is unlocked for blasting operation, otherwise it is set in locked state. The field application results verify effectiveness of the system.
Automatic classification method of coal mine safety hidden danger informatio
XIE Binhong, MA Fei, PAN Lihu, ZHANG Yingjun
2018, 44(10): 10-14. doi: 10.13272/j.issn.1671-251x.2018050019
Abstract:
Manual classification method is difficult to meet classification requirements of massive coal mine safety hidden danger information, and automatic text classification method based on probability statistics has low classification accuracy rate. In view of the above problems, an automatic classification method of coal mine safety hidden danger information was proposed which was based on Word2vec and convolutional neural network. Firstly, hidden danger information is pre-processed through word segmentation and stop word deletion. Then semantic similarity between words is represented by employing Word2vec. Finally, local context high-level features of hidden danger information are extracted by use of convolutional neural network, and Softmax classifier is used to realize automatic classification of hidden danger information. The experimental results show that the method realizes end-to-end automatic classification and can effectively improve accuracy and comprehensiveness of classification.
Analysis method of gas warning results of coal mine safety monitoring and control system
CAI Chong
2018, 44(10): 15-18. doi: 10.13272/j.issn.1671-251x.2018030085
Abstract:
Technology schemes of upgrading of coal mine safety monitoring and control system clearly stated that monitoring and control system should have functions of predicting and warning of gas emission, but it did not explain how to analyze early warning results. In view of this problem, status and characteristics of gas warning of monitoring and control system were analyzed. It was pointed out that the gas warning involved in current safety monitoring and control system mainly includes two aspects: gas emission warning and gas outburst warning. Comprehensive evaluation method of gas warning results using early warning recognition rate and false alarm rate was proposed. For gas emission warning, it was pointed out that taking absolute amount of gas emission and change of gas fluctuations to make the necessary trade-offs for early warning indicators is one of the important factors that must be considered in the warning of gas emission. In analysis of warning results of gas outburst, drill cuttings index was used to classify risk of gas outburst into three states: safety, threat and danger, and the threat state was set according to 80% of the dangerous state threshold.
Power optimization design of silicon microheater of mine-used MEMS methane sensor
WANG Liying, QIN Shunli, MA Hongyu
2018, 44(10): 19-23. doi: 10.13272/j.issn.1671-251x.2018030024
Abstract:
Power optimization design of silicon microheater of mine-used MEMS methane sensor was carried out by use of ANSYS finite element software. Firstly, a calculation model of silicon resistivity within certain temperature range was built on basis of known doping concentration. Then an orthogonal test for dule-cantilever type silicon microheater with U shape was carried out according to the calculated resistivity results in ANSYS software, which took doping concentration, distance between two cantilevers and cantilever width as influence factors, so as to research influence of different factors on power of silicon microheater. The test results show that cantilever width and doping concentration are main factors influencing the power of silicon microheater, while distance between two cantilevers has little influence. The power of silicon microheater decreases with decrease of cantilever width, and increases first then decreases with increase of doping concentration. Power of silicon microheater can achieve the optimal value when cantilever width is 25 μm, doping concentration is 1019 cm-3 and distance between two cantilevers is 10 μm at 600 ℃.
Optimal path planning algorithm for coal mine search and rescue robot
JIN Zujin, CHENG Gang, GUO Feng, WEI Haora
2018, 44(10): 24-28. doi: 10.13272/j.issn.1671-251x.2018030015
Abstract:
In view of problem that global optimal path was difficult to determine due to disturbance of obstacle interval in process of path planning for coal mine search and rescue robot, optimal path planning algorithm for coal mine search and rescue robot based on gradient-coordinate rotation method was proposed. The robot first moves according to gradient-coordinate rotation method, then performs local path optimization according to existing motion path, and makes feasibility judgment on the planned local optimal path until there is no obstacle interval in the path. The simulation results show that the algorithm can make the coal mine search and rescue robot accurately plan the global optimal path from starting point to target point under the premise of avoiding obstacles, so as to improve rationality and efficiency of robot motion path planning.
Passive monitoring method for underground personnel violation entry
ZHANG Lei, ZHAO Tong, LI Xiansheng, LIU Xiaowen
2018, 44(10): 29-33. doi: 10.13272/j.issn.1671-251x.2018030033
Abstract:
In view of problems of poor practicability, poor stability and low accuracy of existing monitoring methods for underground personnel violation entry, a passive monitoring method for underground personnel violation entry based on channel state information of WiFi network was proposed. The method includes training phase and testing phase. In the training phase, channel state information data under conditions of somebody entry and nobody entry is collected respectively, and the collected data is preprocessed through outlier elimination and filtering. Then the preprocessed data is constructed into eigenvalue to establish discrimination model. In the testing phase, the collected data is preprocessed to construct eigenvalue, which is input into the discrimination model established in the training phase, so as to realize judgment of personnel violation entry. The experimental results show that accuracy of the method is 99.31%.
Fault diagnosis of mind-used transformer based on stacked sparse auto-encoder
XU Qianwen, JI Xingquan, ZHANG Yuzhen, LI Jun, YU Yongjin
2018, 44(10): 33-37. doi: 10.13272/j.issn.1671-251x.2018040092
Abstract:
In view of application of deep learning to transformer fault diagnosis had a good fault diagnosis effect, a fault diagnosis method of mind-used transformer based on stacked sparse auto-encoder was proposed. Sparse auto-encoder is constructed by introducing sparse item constraint in hidden layer of auto-encoder, then the multiple sparse auto-encoders are stacked to form stacked sparse auto-encoder, and Softmax classifier is used as output layer to establish mine-used transformer fault diagnosis model. A large number of unlabeled samples are used to carry out unsupervised pre-training for the model, and the model parameters are optimized through supervised fine-tuning. The example analysis results show that stacked sparse auto-encoder is more accurate than stack auto-encoder in application of fault diagnosis of mind-used transformer.
Tension force prediction method for mine-used belt conveyor
LIN Guangxu
2018, 44(10): 38-42. doi: 10.13272/j.issn.1671-251x.2018050087
Abstract:
In view of problem that existing tension force detection device of belt conveyor could not realize real-time prediction of tension force according to load, a tension force prediction method based on BP neural network was proposed. Firstly, the relationships among the tension force, running resistance and load of the belt conveyor were analyzed, and the relationship between the load and motor current of the belt conveyor was explored. Then BP neural network was established to predict the load. According to the functional relationship between load and tension force, load variation trend in the running process of the belt conveyor was obtained, and the tension force was real-timely predicted by the load. The belt conveyor was adjusted adaptively according to the predicted tension force. The experimental results show that the prediction accuracy of the method is 92.1%, which can meet demand of real-time prediction of tension force of belt conveyor.
Inverse kinematics analysis of hydraulic support
LU Xuliang, YAN Haifeng, ZHANG Li
2018, 44(10): 43-47. doi: 10.13272/j.issn.1671-251x.2018030011
Abstract:
For problem that existing forward kinematics analysis methods of hydraulic support could not predict attitude of top beam accurately, an inverse kinematics analysis method of hydraulic support was put forward. 3D model and Motion model of hydraulic support were built by use of SolidWorks software and its Motion module. Motion database was obtained by analyzing motion of hydraulic support, and motion equation of each driving part in hydraulic support was fitted by use of cubic polynomial curve. Then the motion equations were optimized by use of particle swarm optimization algorithm to get the optimal motion equations, so as to obtain the optimal motion tracks of hydraulic support. The test result shows that the method can get motion track of each driving part of hydraulic support correctly, and the result is consistent with the actual one.
Dynamical modeling of orebody based on property-drive
ZHOU Zhiyong, CHEN Jianhong, LI Huan, XIAO Wei
2018, 44(10): 48-54. doi: 10.13272/j.issn.1671-251x.2018040042
Abstract:
Traditional orebody modeling was driven by structure conditions. When boundary properties change, the established model was difficult to change dynamically. In order to solve the problem, a dynamic modeling method of orebody based on property-driven was presented. Firstly, 3D block property model was used to extract the required elements in the block model according to any given boundary property conditions. Then, orebody property model was transformed into geometric structure model based on the characteristic face calculation and surface smoothing algorithm. Finally, 3D geometric model of the orebody was established under the given industrial index conditions. The application example shows that the method can extract and generate property structure and geometry structure of orebody dynamically under different boundary conditions, can accurately construct a smooth orebody model and improve the efficiency of dynamic modeling of orebody.
A voltage detection method based on dq transformation and symmetric component method
WANG Jianyu
2018, 44(10): 54-60. doi: 10.13272/j.issn.1671-251x.2018010011
Abstract:
In view of problem that fault type and phase of asymmetric voltage sag could not be quickly identified by traditional voltage sag detection algorithm, a voltage detection method based on dq transformation and symmetric component method was proposed. Firstly, the voltage is decomposed by symmetrical component method, and the asymmetrical voltage is decomposed into symmetrical positive, negative and zero sequence components. Then the decomposed components are transformed into synchronous rotating coordinate system dq to obtain the amplitude and phase information of positive, negative sequence and zero sequence components of voltage components under various faults. Finally, the results of the transformation are reorganized. Taking voltage sag caused by short circuit fault with high frequency as an example, the short circuit fault voltage is transformed and reorganized. According to the recombination results, not only the fault type can be identified, but also the specific fault phase can be located. The simulation comparison with the traditional dq voltage transformation method verifies accuracy and superiority of the method.
Responsibility division method of harmonic sources in coal mine power system
GAO Yun, SU Jingwei
2018, 44(10): 61-65. doi: 10.13272/j.issn.1671-251x.2018040089
Abstract:
In view of the problem of collinearity of harmonic emission level evaluating method of coal mine power system based on multivariate linear regression, which leaded to the problem that evaluation result was greatly affected by abnormal value problem, ridge regression method was proposed to estimate user side harmonic emission level and to divide responsibility of harmonic source. The principle of ridge regression estimation method was analyzed, and system side and user side equivalent circuits were established. Regression equation was established according to the equivalent circuit, and the regression coefficient was obtained by the ridge regression operation, and then user side harmonic emission level was obtained according to the ridge regression calculation result. The simulation results show that compared with the binary linear regression, the ridge regression estimation method can solve the collinearity problem more effectively, make accuracy of regression coefficient higher, thus obtaining more accurate harmonic emission level.
Feedback adaptive rate parameters optimization of full-order state observer
SHEN Fenglong, MAN Yongkui, WANG Jianhui, BIAN Chunyuan
2018, 44(10): 65-71. doi: 10.13272/j.issn.1671-251x.2018040062
Abstract:
It is difficult to find the optimal solution in existing design of feedback adaptive rate PI parameters of full-order state observer, a feedback adaptive rate PI parameter optimization algorithm of full-order state observer based on improved particle swarm optimization algorithm was proposed. Firstly, according to frequency domain design method, design criterion of the feedback adaptive rate parameters and the main factors affecting parameter design were given. Then several sets of parameter values designed and encoded by the design criterion were mixed into the random initial population to increase the number of fine individuals in the initial population, so as to improve convergence speed and search efficiency. Finally, the optimal value of PI parameters was obtained by coding, initializing population and parameter setting, fitness evaluating and updating particle velocity and location. The experimental results show that the speed estimation accuracy of PI parameters obtained by the optimization algorithm is obviously better than that of the traditional trial method when the slope is given 0.2 pu and 0.6 pu rotational speed, regardless of no-load startup or load operation,and the accuracy can meet requirements of technical indexes of mine-used hoist.
Design of fault inspection robot system for belt conveyor
ZHANG Tao, WU Gaozhe
2018, 44(10): 72-76. doi: 10.13272/j.issn.1671-251x.2018060026
Abstract:
Aiming at problems of high labor intensity and poor reliability of existing fault detection methods of belt conveyor, a design scheme of fault inspection robot system for belt conveyor was proposed. Firstly, common fault types and causes of belt conveyor about conveying belt and roller were analyzed including transverse fracture, longitudinal tearing, slipping, running deviation and coal piling of conveying belt and abrasion and rotation deadlock of roller. Then different sensors were selected including laser radar, monocular camera, smoke sensor, sound sensor and temperature sensor according to fault types, and corresponding fault detection algorithms were proposed. Finally, system software processes of upper and low computers were given.
Design of inspection system for coal mine equipments based on RFID
CUI Xiguo, HAN An
2018, 44(10): 77-80. doi: 10.13272/j.issn.1671-251x.17351
Abstract:
In view of problems of many hidden dangers and weak electromechanical technology of coal mine equipments management, an inspection system for coal mine equipment based on RFID was designed. The system uses RFID technology to realize unique management of mine area location, patrol personnel identification card and equipments basic information, and uploads mine patrol record information to ground servers in combination with underground wireless network and equipments patrol recorder. The ground servers perform effective data analysis to timely and accurately reflect operation and safety status of the equipments. The system realizes refined management of mine equipments such as performance of mine equipments inspector, equipments inspection records, equipments abnormal defect closure, underground equipments distribution and circulation, which can effectively reduce occurrence of mechanical and electrical accidents, reduce equipments management cost and improve equipments utilization efficiency.
Coal mine belt conveyor control system based on load detectio
LIU Hongli
2018, 44(10): 81-84. doi: 10.13272/j.issn.1671-251x.17352
Abstract:
For problems of high energy consumption of belt conveyor and inability to adjust control automatically according to actual coal quantity, a coal mine belt conveyor control system based on load detection was designed. Overall load and material distribution of belt conveyor are obtained in real time through load detection device. Running speed of belt conveyor is automatically controlled according to the overall load, and start-up along coal flow of multi-level series belt conveyor is realized according to material distribution. The application result shows that the system realizes less human operation management of belt conveyor, reduces energy consumption and improves transportation efficiency.
Design of universal automatic test platform for circuit board based on virtual instrument
YANG Zhengdong, ZHU Guoyuan
2018, 44(10): 84-89. doi: 10.13272/j.issn.1671-251x.2018050065
Abstract:
In view of problems of singleness and specificity of traditional circuit board test platform, in order to meet automatic testing requirements of different circuit boards, an universal automatic test platform for circuit board based on virtual instrument was designed. The platform achieves automated testing of different types of boards using virtual instrument testing technology, scan code technology and network technology. The test results are bound to serial number of the board and automatically saved to database of server, and the board test results can be queried via web browsing. The test results show that the platform can realize automatic test of different types of circuit boards, and improves test accuracy and efficiency under the premise of ensuring test accuracy of the circuit board.
Application of online hydrological monitoring system in Jinjie Coal Mine
WANG Yongju
2018, 44(10): 90-93. doi: 10.13272/j.issn.1671-251x.17332
Abstract:
For the problem that manual observation method of underground water level in coal mine could not obtain variation of hydrological parameters overall and real-timely, an online hydrological monitoring system was used in Jinjie Coal Mine to obtain water level data of hydrological observation hole. The application shows that the system can monitor variation of coal mine hydrological parameters real-timely, which can be used to guide reasonable distribution of water discharging hole in working face, predict water inrush of working face with high precision and guide optimization of drainage system in working face, so as to decrease cost of water discharging engineering of coal mine.
Application of combination weighting method in coal mine safety risk analysis
GONG Dali
2018, 44(10): 94-99. doi: 10.13272/j.issn.1671-251x.17348
Abstract:
In view of requirement that index weight in coal mine safety risk analysis needed to consider subjective and objective aspects comprehensively, a combination weighting method combining analytic hierarchy process and entropy weight method was proposed. The method uses analytic hierarchy process and entropy weight method to obtain subjective weight and objective weight of index respectively. The multiplication integration method is used to combine the subjective weight and the objective weight to obtain more comprehensive and accurate combination weight. The case analysis verifies effectiveness of the method in application of coal mine safety risk analysis.
Design of gas monitoring system of coal bunker in coal preparation plant
DUAN Fusha
2018, 44(10): 100-103. doi: 10.13272/j.issn.1671-251x.2018050066
Abstract:
In view of problems of low measurement accuracy, poor real-time performance and high cost of traditional gas monitoring system of coal bunker in coal preparation plant, gas monitoring system of coal bunker in coal preparation plant based on fuzzy control was designed. The system introduces frequency conversion technology into ventilator control when gas concentration changes, frequency converter is used to adjust rotation speed of ventilator in coal bunker: when the gas concentration is large, rotation speed is controlled to increase and ventilateel quantity is increased to ensure gas concentration does not exceed the standard; otherwise rotation speed is decreased to reduce energy consumption, thereby real-time online monitoring of gas concentration in the coal bunker is realized. The practical application results show that the system can significantly reduce mean and fluctuation of gas concentration in coal bunker, and effectively ensure safety of coal bunker in coal preparation plant.