工矿自动化

Design of anti-collision warning system for mine locomotive

FANG Chongquan

2018, 44(9): 1-4. doi: 10.13272/j.issn.1671-251x.2018040007

<Abstract>(133) <HTML> (11) <PDF>(11)

Abstract:
In view of problem that existing underground locomotive anti-collision system had no corresponding treatment measures for complex terrain such as corners, ramps and ballasts, and it was easy to cause false alarms, an anti-collision warning system for mine locomotive was designed. The system uses two-dimensional scanning laser radar to realize obstacle detection, radar scanning angle is 270° and recognition distance is more than 60 m. Special terrain detection such as corners and real-time positioning of the locomotive are realized by RFID technology, and operating status of the locomotive speed, direction, and track can be obtained. Information interaction with adjacent locomotive is realized by Lora wireless data transparent transmission technology. The on-site industrial test results show that the system can accurately locate the locomotive, and the special roadway terrain identification and obstacle/terrain recognition have good real-time performance, which can meet the needs of underground applications.

Inertial navigation and positioning system for underground driverless trai

DU Jingyi, GUO Jinbao, ZHANG Bo

2018, 44(9): 5-9. doi: 10.13272/j.issn.1671-251x.2018040022

<Abstract>(55) <HTML> (7) <PDF>(12)

Abstract:
Current underground driverless train positioning technology calculates the train displacement based on optical sensor installed on the wheels. When the underground driverless train skids on the wet track, the positioning error will be generated. In view of the above problem, an inertial navigation and positioning system for underground driverless train was proposed. Inertial navigation module was introduced in the system based on current underground driverless train positioning technology, and double threshold algorithm was used to judge abnormal driving condition of the train combined with photoelectric sensor data and inertial navigation data, and safety factor of driverless train was increased. The inertial navigation module uses LPMS-NAV2 to obtain acceleration and heading angle of target, and the position coordinates of the target is calculated. In view of the problem that acceleration measurement of the target is affected by gravity acceleration, z-axis acceleration compensation method is used to eliminate the error brought by gravity. In view of the problem of cumulative error of positioning of the target, weight feedback constraint algorithm is introduced, and square difference loss function is constructed for weighted constraint of the positioning point, so as to reduce the cumulative error. A position beacon is set at each fork of the underground roadway to perform secondary calibration on the positioning information to further improve the positioning accuracy. The indoor test results show that the average positioning error of the inertial navigation and positioning system for the underground driverless train is 0.52 m.

Analysis of influencing factors of scraper pitch of en-masse conveyor

ZHAO Xiaoxia, MENG Wenjun, ZHAO Huijuan, ZHANG Jun, CHEN Yuxuan

2018, 44(9): 10-14. doi: 10.13272/j.issn.1671-251x.2018030001

<Abstract>(98) <HTML> (9) <PDF>(8)

Abstract:
In order to solve problem of how to determine scraper pitch when en-masse conveyors transported different materials， MS and MC en-masse conveyors were taken as the research object, the influence law of the scraper area, conveying material, machine slot height and width on the scraper pitch were analyzed. The analysis results show that the different conveying materials have a great influence on the scraper pitch. For MS en-masse conveyor, the scraper pitch increases with increasing of the scraper area and decreases with increasing of slot width and height when other factors remain unchanged. Because the internal friction angles of different material are different, scraper pitch decreases first and then increases, at about 25° to the minimum. For the MC en-masse conveyor, scraper pitch decreases as the scraper width increases, and increases as the scraper height increases. When the internal friction angle is about 30°, the minimum value of scraper pitch is obtained.

Simulation research on motion of three machines on fully mechanized coal mining face

HAN Feijuan, REN Fang, YANG Zhaojian, XIE Jiacheng

2018, 44(9): 15-19. doi: 10.13272/j.issn.1671-251x.2018030080

<Abstract>(213) <HTML> (66) <PDF>(12)

Abstract:
In view of problems that current simulation research on motion of three machines on fully mechanized mining face could not display single-machine motion state in detail, and linkage process of a single unit was rarely involved, geometric model of three machines were established using virtual machine technology. On the basis of attitude analysis, under the Unity3D platform and through script component,object-oriented programming ideas was applied, motions of single machine were restored including rocker arm lifting,coal cutting action of shearer, descending column, moving frame, pushing of conveyer, and bending movement of scraper conveyor. The test results show that the established model can clearly and completely show the structure and operation principle of the three machines and the motion of single machine.

Dynamic prediction of gas concentration based on time series

GUO Siwen, TAO Yufan, LI Chao

2018, 44(9): 20-25. doi: 10.13272/j.issn.1671-251x.2018040051

<Abstract>(114) <HTML> (19) <PDF>(15)

Abstract:
Existing gas concentration prediction methods could only achieve static gas concentration prediction, could not update with accumulation of gas data, as a result, the prediction results were not timeliness. In view of the above problem, a dynamic prediction method of gas concentration based on time series was proposed. Firstly, the method uses multi-resolution characteristic of wavelet decomposition technique to decompose the gas concentration time series to different scales to make the time series smooth. Then it adopts auto regressive and moving average(ARMA) model constructed by real-time and dynamic data to predict mine gas concentration in the future time by use of gas concentration change trend in the past time, so as to obtain time series prediction results. Finally, in order to improve the accuracy of the gas concentration prediction, the prediction results of the ARMA model and mine environment parameters are input into the trained BP neural network model, and the prediction results are corrected by the BP neural network model, so as to obtain final gas concentration prediction value. The test results show that the method can accurately predict the mine gas concentration, and the average relative error of gas concentration prediction is reduced from 8% to 5%.

Experimental study on electric potential critical slowing down characteristics before unstable failure of roof rocks

ZHANG Xin, LI Zhonghui, NIU Yue, WEI Yang, CHENG Fuqi, WANG Jiali

2018, 44(9): 26-31. doi: 10.13272/j.issn.1671-251x.2018030095

<Abstract>(138) <HTML> (22) <PDF>(8)

Abstract:
In order to study critical slowing down characteristics of surface electric potential (EP) before unstable failure of roof rocks, loading failure experiment of rock specimens was carried out, the surface EP signal of rocks was collected in loading process. Based on theory of critical slowing down, variance and autocorrelation coefficient of the potential signal time sequence were calculated and analyzed. The analysis results are as follows: there is a good correspondence between the change of surface potential, the load and strain during the whole loading process; EP signal of rock has the phenomenon of critical slowing down in the loading process, the variance and autocorrelation coefficient of EP has sudden increase and continuously increasing trend before the main rupture, it can be used as a precursory signal to indicate unstable failure of rocks; the different window lengths and lagging steps affect the volatility stability and variation tendency of autocorrelation coefficient and variance of EP signal; compared with autocorrelation coefficient, variance is more effective for prediction of the critical failure point of the rock specimens.

Mine-used distribution network reconfiguration based on improved fireworks algorithm

XU Jiabin, ZHANG Xin, ZHANG Yuzhen, ZHANG Jing

2018, 44(9): 32-36. doi: 10.13272/j.issn.1671-251x.2018030051

<Abstract>(73) <HTML> (7) <PDF>(5)

Abstract:
For problems of difficulty in obtaining global optimal solution and low efficiency when heuristic method and intelligent optimization method were used to solve problem of distribution network reconfiguration, and requirements of rapidity and stability of mine-used distribution network reconfiguration, an improved fireworks algorithm was proposed to solve mine-used distribution network reconfiguration. Taking the minimum distribution network loss as objective function, explosion operator and termination strategy are improved by introducing self-adaptive coefficient, so as to reduce iterations and improve search efficiency. Combing with the optimal fireworks fine-tuning strategy, a large number of identical sparks can be avoid during the optimal fireworks explosion, which effectively improves sparks diversity. The experimental results show that the improved fireworks algorithm has higher stability and repeatability, faster search speed and good global search ability, and network loss is obviously reduced by use of the algorithm to solve problem of distribution network reconfiguration.

Improved super-resolution reconstruction algorithm of non-local mean video

ZHANG Jianying, SONG Yulong, CAI Yingchun, YANG Xiuyu

2018, 44(9): 37-44. doi: 10.13272/j.issn.1671-251x.2017120081

<Abstract>(104) <HTML> (11) <PDF>(7)

Abstract:
In view of problems of video super-resolution reconstruction method based on non-local mean (NLM) that reconstructed image was too smooth, convergence speed was slow and calculation amount was large, an improved super-resolution reconstruction algorithm of non-local mean video was proposed. The method uses fuzzy edge complement algorithm to divide preprocessed video image into flat region and texture region; for flat region, image enhancement processing is performed by histogram equalization to reduce the amount of algorithm calculation; for texture region, it is processed by the improved NLM reconstruction algorithm, and similarity weights is corrected by designing a multi-directional adaptive search window and introducing neighborhood coherence coefficients, so as to enhance texture details of the reconstructed image and speed up the convergence of the algorithm; Superimposed normalization of the reconstructed texture region and the enhanced flat region is performed to complete super-resolution reconstruction of the entire video image. The experimental results show that the proposed algorithm can reduce overall complexity of the algorithm and shorten reconstruction time while improving the texture details and peak signal-to-noise ratio of the reconstructed image.

Rotor steady-state current distribution of double squirrel cage motor considering skin effect

WANG Yanwen, GUO Lin, ZHAO Feng, YANG Xiaozhou

2018, 44(9): 44-50. doi: 10.13272/j.issn.1671-251x.2018030031

<Abstract>(143) <HTML> (35) <PDF>(5)

Abstract:
In order to effectively research rotor steady-state current distribution of double squirrel cage motor in case of skin effect, equivalent transformation of rotor branch of independent end-ring type and common end-ring type double squirrel cage motor were carried out, layering method was used to deal with upper and lower bar branches, and method for calculating rotor steady-state current distribution of independent end-ring type and common end-ring type double squirrel cage motor in case of skin effect was presented. The analysis results show that current distribution of rotor upper and lower cage of independent end-ring type and common end-ring type double squirrel cage motor is basically the same, the higher the frequency, the more dense the current is distributed in upper cage than that in lower cage; under power frequency supply, rotor basic frequency current distribution of independent end-ring type and common end-ring type double squirrel cage motor is basically the same when the motor is running normally, and skin effect of common end-ring type double squirrel cage motor is more obvious than that of independent end-ring type double squirrel cage motor when the motor is short-circuit running; current ratio of upper and lower cage of common end-ring type double squirrel cage motor is larger than that of independent end-ring type double squirrel cage motor at the same current frequency.

Prediction of wear life of shield disc cutter in complex formations based on genetic programming

QIAO Jinli, MENG Qiujie, LIU Jianqin, JIN Jianxing

2018, 44(9): 51-58. doi: 10.13272/j.issn.1671-251x.2018020048

<Abstract>(68) <HTML> (8) <PDF>(16)

Abstract:
In process of shield tunneling in complex formation, wear of disc cutter is extremely serious and service life is hard to predict, and influence factors of the disc cutter wear are multi-dimensional and uncertain. In view of above problems, main influence factors of disc cutter wear life such as cutter installation raduis, excavation distance, penetration depth, cutter spacing width, rotating speed were analyzed, prediction model of wear life of shield disc cutter in complex formations based on genetic programming was established. Genetic programming can transform the problem of wear life prediction into the inductive problem of programs. The tree-shaped expression can reflect relationship between the influencing factors and the wear life under complex geological conditions. The engineering test results show that the average prediction error of the model is 16.07% and the mean square error of the model is 0.001 6, which are better than the simplified CSM model. The model solves the problem that the wear life of the disc cutter is difficult to predict, and provides a new solution for prediction of wear life of the disc cutter.

Modeling on low power consumption hardware and software partitioning for intelligent sensing nodes of Internet of things based on π-net

LIU Xiaoxia, LI Fang

2018, 44(9): 59-66. doi: 10.13272/j.issn.1671-251x.2018020045

<Abstract>(84) <HTML> (14) <PDF>(5)

Abstract:
Advantages and disadvantages of low power consumption hardware and software partitioning for intelligent sensing nodes of Internet of Things（IoT） directly affect the endurance and network life of nodes. In view of problem of high energy consumption in hardware and software partitioning of intelligent sensor nodes of IoT, a low power consumption hardware and software partitioning model based on π-net was proposed. Firstly, the intelligent sensor nodes of IoT was defined with constraints, and the constrained model of the intelligent sensor nodes was obtained. Then, the hardware and software partitioning model of intelligent sensing nodes based on π-net was established by using the π-net theory, and the low power consumption hardware and software partitioning based on IP core power consumption of hardware and software and the overall power consumption constraints of the system were realized, and the model was analyzed for evolution. The analysis and simulation results show that the model has certain advantages and practicability in terms of fitness, execution time division and minimum system partition energy consumption compared with models based on tabu search algorithm and genetic algorithm, which can reduce the energy consumption of intelligent sensing nodes of IoT and improve their endurance.

Construction of private network acceleration system for coal enterprise

SHENG Lu

2018, 44(9): 67-72. doi: 10.13272/j.issn.1671-251x.2018010093

<Abstract>(81) <HTML> (10) <PDF>(6)

Abstract:
For problems of private network of coal enterprise such as poor network quality, regional limitation, lack of reasonable scheduling of bandwidth resources, inability of enterprise cloud platform to remote backup and poor network security, a construction scheme of private network acceleration system for coal enterprise was proposed. Local access acceleration is realized through deploying Internet caching system by mirroring mode. Long-distance wavelength division transmission platform is established by using wavelength division multiplexing technology, so as to realize remote backup of enterprise cloud platform and guarantee network security. The long-distance wavelength division transmission platform is connected to Internet exchange center, which can speed up access of Internet users to mainstream websites in China. Domain name list of the domestic mainstream websites is configured by employing intelligent DNS scheduling system, so as to reasonably schedule Internet export bandwidth resources. The application results verify effectiveness of the private network acceleration system for coal enterprise.

Research on current detection system of underground intelligent substatio

CHEN Lianyu, GAO Qing

2018, 44(9): 72-76. doi: 10.13272/j.issn.1671-251x.2018020018

<Abstract>(62) <HTML> (4) <PDF>(6)

Abstract:
In view of problems of traditional current detection method which took electromagnetic current transformer as the core that it was difficult to install and maintain, took up a lot of space and has low precision, a current detection system of underground intelligent substation with Rogowski coil as sensing head was designed. Design of integral reduction circuit and adaptive amplifier circuit was introduced, and the system stability analysis as well as Rogowski coil test, linearity test, frequency characteristic test and temperature characteristic test were carried out. Test results show that the system has high precision and good linearity.

Development of wireless tension sensor of round link chain of scraper conveyor

LUO Tiena

2018, 44(9): 77-83. doi: 10.13272/j.issn.1671-251x.2018050093

<Abstract>(60) <HTML> (7) <PDF>(6)

Abstract:
In view of problem that existing tension measuring methods of round link chain of scraper conveyor could not detect tension of round link chain in real time by using wired method, a wireless tension sensor of round link chain of scraper conveyor based on RFID was designed. The sensor uses resistance strain gauge as sensitive element, strain signal detected by resistance strain gauge is converted to voltage signal relating to tension signal through bridge strain measurement circuit. The voltage signal is sent to nRF24LE1 after being magnified and filtered, and then it is sent to wireless collection substation by wireless transmission module of nRF24LE1, so as to realize real time wireless measurement of tension of the round link chain and the data wireless transmission. According to the real time tension and tension changes situation of round link chain, the sensor can judge the degree of tightness of round link chain, and can effectively forecast and truly determine broken chain fault. The experimental results verify the reliability of the sensor.

Development and prospect of wisdom mine

LYU Pengfei, HE Min, CHEN Xiaojing, BAO Yongtao

2018, 44(9): 84-88. doi: 10.13272/j.issn.1671-251x.17346

<Abstract>(352) <HTML> (28) <PDF>(57)

Abstract:
For new concept of wisdom mine, its development course, existing status and problems in construction process in China were summarized through its association with automation mine, informatization mine and digital mine. A new definition of wisdom mine was put forward, which emphasized that the wisdom mine was a set of wisdom system and could make the optimal regulation for each part automatically. Vision of the wisdom mine was prospected from five aspects of mine design, safety guarantee, efficient production, economic operation and green environmental protection. Construction planning of the wisdom mine was proposed, which mainly included four aspects: establishing wisdom mine industrial alliance, formulating relevant technical specifications and standards, researching and developing intelligent equipment and developing wisdom decision applications.

Multimotor power balance control of belt conveyor under Internet of things technology

HUANG Yourui, CHEN Zhenping

2018, 44(9): 88-93. doi: 10.13272/j.issn.1671-251x.17344

<Abstract>(69) <HTML> (18) <PDF>(8)

Abstract:
1.School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China; 2.School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China

Grid partition method of fully-mechanized coal mining face area and its applicatio

QU Shijia

2018, 44(9): 94-97. doi: 10.13272/j.issn.1671-251x.17345

<Abstract>(82) <HTML> (7) <PDF>(5)

Abstract:
In order to meet fine management requirements for fully-mechanized coal mining face production, a grid partition method of fully-mechanized coal mining face area was put forward. According to space area of fully-mechanized coal mining face and operation cycle chart, fully-mechanized coal mining face area was divided into return air terminal area, head triangle coal area, central coal mining area, tail triangle coal area and inlet air terminal area from static level. Considering three processes of coal cutting, support moving and scraper conveyor pushing in production process, the central coal mining area was further dynamically divided into coal cutting area, support moving area, scraper conveyor pushing area and transition area. Taking mine pressure characteristics analysis of fully-mechanized coal mining face as an example, it shows that analysis results of mine pressure characteristics after grid partition are more specific than those of whole working face.

Anti-override trip monitoring system of coal mine power supply

ZHANG Wenrui

2018, 44(9): 98-101. doi: 10.13272/j.issn.1671-251x.17343

<Abstract>(114) <HTML> (5) <PDF>(7)

Abstract:
Main causes of override trip accident of coal mine power supply system were analyzed, which included short circuit, leakage, voltage fluctuation, switch operation rejection, etc. Both advantages and disadvantages of existing anti-override trip methods of coal mine power supply system were pointed out including fiber-optic current differential protection, junction locking and centralized control. An anti-override trip monitoring system of coal mine power supply was proposed and structure and functions of the system were introduced. The system adopts an anti-override trip solution scheme named three dimensions and an entirety, which prevents override trip of the power supply system from three dimensions of short circuit, leakage and voltage fluctuation, and fuses anti-override trip protection and common protection, anti-override trip network and fiber-optic ring network, and anti-override trip monitoring and power supply monitoring into an entirety, so as to improve reliability of anti-override trip of the system. The application result verifies selectivity, rapidity and reliability of the system about anti-override trip.

Water detection video management system of coal mine

JIN Liguo, ZHAO Cunhui

2018, 44(9): 102-104. doi: 10.13272/j.issn.1671-251x.17347

<Abstract>(94) <HTML> (8) <PDF>(7)

Abstract:
For problems of missed detection, false detection, low efficiency, large error, poor real-time performance and so on existed in manual detection method of borehole depth, angle and direction of coal mine water detection, a water detection video management system of coal mine was designed. The system uses intelligent video identification technology to identify pipe-rod changing action and number and sensor identification technology to identify drilling number and borehole angle, so as to calculate borehole depth separately. The two calculation results are checked to guarantee detection precision. The actual application shows that the system runs stably and realizes the whole process supervision of coal mine water detection.

2018 Vol. 44, No. 9

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