scholarly journals Dynamic Update Method of Working Face Geological Model Driven by Multi-Source Data

2021 ◽  
Author(s):  
Zaibin Liu ◽  
Mingxing Li ◽  
Lin An ◽  
Kai Shen ◽  
Hui Yue ◽  
...  
Keyword(s):  
Path Planning ◽  
Coal Mining ◽  
High Precision ◽  
Geological Model ◽  
Geological Data ◽  
Dynamic Update ◽  
Working Face ◽  
Source Data ◽  
Data Volume ◽  
Cutting Path

Abstract In order to build a high-precision dynamic geological model to serve the intelligent mining, working face is explored step by step through the comprehensive prospecting technology. A multi-source data fusion method was applied to realize mutual verification, supplement, fusion and interpretation of non-uniform heterogeneous geological data to obtain a high-precision geological data volume. Also, the dynamic update model method was proposed to update 3D geological model of working face quickly so that the accuracy of the geological model can be improved effectively. Furthermore, cutting path planning technology was developed based on the dynamic geological model. The field test showed that the cutting path planning based on the high-precision dynamic geological model can improve the coal mining efficiency and improve the fusion efficiency between geology and coal mining systems. Dynamic update of multi-attribute geological information should be studied and developed to improve the automatic level of mining driven by geological data.

Research on the Memory Cutting Model of Shearer

2012 ◽  
Vol 510 ◽  
pp. 170-175 ◽  
Author(s):  
Zhi Peng Xu ◽  
Zhong Bin Wang
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Coal Mining ◽  
Coal Industry ◽  
Geological Condition ◽  
Working Face ◽  
Memory Cutting ◽  
Cutting Model ◽  
Cutting Path ◽  
Self Adaptive

Automatic" and "less people" in fully mechanized working face is the target of China's coal industry development, and the key to achieve this goal is the automation of coal mining. According to the previous technology of memory cutting cannot adapt to the complicated geological condition in China, this paper proposed the technology of shearer self-adaptive memory cutting based on fuzzy control theory, the shearer positioning system and fuzzy control system of self-adaptive cutting. These systems can get the message of shearer's position and attitude at any point, trace the memorial cutting path automatically, judge whether the shearer cuts rocks based on fuzzy control theory and find the optimal scheme when it works. The authors make the experiments of path tracing in laboratory and the experiment of shelf-adaptive adjust in Xi'an Coal Mining Machinery. All the experimental results show that this technology not only can realize the shearer memory cutting, but also can discriminate the abnormal state of shearer cutting rocks, then adjust the drawing speed and drum height automatically.

scholarly journals A Mathematical Model and Error Analysis of Shearer Cutting Path Based on Its Attitude

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Shi-bo Wang ◽  
Shijia Wang ◽  
Zhaoliang Ge
Keyword(s):  
Mathematical Model ◽  
Error Analysis ◽  
Inertial Navigation System ◽  
Coordinate Frame ◽  
Medium Thickness ◽  
Position Errors ◽  
Working Face ◽  
Coordinate Position ◽  
Thin Seam ◽  
Cutting Path

The horizon control system is the key technology in the automation of a shearer. The achievement of accurate shearer cutting path plays an important role for horizon control. A mathematical model of cutting path in the local geographic coordinate frame was built. Error analysis based on genetic algorithm (GA) was studied to guarantee the accuracy of the shearer cutting path. Parameters from a MG1000/2660-WD shearer and data from a working face were used to obtain the shearer cutting path with reference to the local geographic coordinate frame. Also, with error analysis based on GA, the desired sensors were chosen, which allowed coordinate position errors of a shearer’s cutting path to be less than 0.01 m. The desired accuracies of the inertial navigation system and encoders mounted on the different shearers used in thin seam, medium-thickness seam, and thick seam were calculated.

The Adaptation Analysis of the Fully Mechanized Coal Mining Face of Huopu Mine’s Third Soft Coal Seam

2014 ◽  
Vol 1049-1050 ◽  
pp. 335-338 ◽  
Author(s):  
Fa Quan Liu ◽  
Xue Wen Geng ◽  
Yong Che ◽  
Xiang Cui
Keyword(s):  
Coal Seam ◽  
Coal Mining ◽  
Geological Condition ◽  
Soft Coal ◽  
Working Face ◽  
Mining Face ◽  
Soft Coal Seam ◽  
Working Resistance

To get the maximum coal in front of the working face of the 17# coal seam, we installed a longer beam which is 1.2m in length in the leading end of the original working face supports ZF3000/17/28, and know that working face supports’ setting load and working resistance are lower .We changed the original supports with shield supports ZY3800/15/33 that are adaptable in the geological condition and got the favorable affection.

Laser Cutting Path Planning Using CP

2013 ◽  
pp. 790-804
Author(s):  
Mikael Z. Lagerkvist ◽  
Martin Nordkvist ◽  
Magnus Rattfeldt
Keyword(s):  
Path Planning ◽  
Laser Cutting ◽  
Cutting Path

scholarly journals A Mechanical Model of the Overlying Rock Masses in Undersea Coal Mining and a Stress-Seepage Coupling Numerical Simulation

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Jie Fang ◽  
Lei Tian ◽  
Yanyan Cai ◽  
Zhiguo Cao ◽  
Jinhao Wen ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Coal Seam ◽  
Coal Mining ◽  
Water Inrush ◽  
Mining Area ◽  
Analysis Model ◽  
Fractured Zones ◽  
Working Face ◽  
Seam Mining ◽  
Overlying Strata

The water inrush of a working face is the main hidden danger to the safe mining of underwater coal seams. It is known that the development of water-flowing fractured zones in overlying strata is the basic path which causes water inrushes in working faces. In the engineering background of the underwater mining in the Longkou Mining Area, the analysis model and judgment method of crack propagation were created on the basis of the Mohr–Coulomb criterion. Fish language was used to couple the extension model into the FLAC3d software, in order to simulate the mining process of the underwater coal seam, as well as to analyze the initiation evolutionary characteristics and seepage laws of the fractured zones in the overlying strata during the advancing processes of the working face. The results showed that, during the coal seam mining process, the mining fractured zones which had been caused by the compression-shear and tension-shear were mainly concentrated in the overlying strata of the working face. Also, the open-off cut and mining working face were the key sections of the water inrush in the rock mass. The condition of the water disaster was the formation of a water inrush channel. The possible water inrush channels in underwater coal mining are mainly composed of water-flowing fractured zones which are formed during the excavation processes. The numerical simulation results were validated through the practical engineering of field observations on the height of water-flowing fractured zone, which displayed a favorable adaptability.

Chapter 11 Coal mining subsidence in the UK

2020 ◽  
Vol 29 (1) ◽  
pp. 291-309 ◽  
Author(s):  
Laurance Donnelly
Keyword(s):  
Coal Mining ◽  
Longwall Mining ◽  
Ground Surface ◽  
Mining Subsidence ◽  
Ground Movement ◽  
Working Face ◽  
Mine Roadway ◽  
Coal Mining Subsidence ◽  
The Uk

AbstractOne of the geohazards associated with coal mining is subsidence. Coal was originally extracted where it outcropped, then mining became progressively deeper via shallow workings including bell pits, which later developed into room-and-pillar workings. By the middle of the 1900s, coal was mined in larger open pits and underground by longwall mining methods. The mining of coal can often result in the subsidence of the ground surface. Generally, there are two main types of subsidence associated with coal mining. The first is the generation of crown holes caused by the collapse of mine entries and mine roadway intersections and the consolidation of shallow voids. The second is where longwall mining encourages the roof to fail to relieve the strains on the working face and this generates a subsidence trough. The ground movement migrates upwards and outwards from the seam being mined and ultimately causes the subsidence and deformation of the ground surface. Methods are available to predict mining subsidence so that existing or proposed structures and land developments may be safeguarded. Ground investigative methods and geotechnical engineering options are also available for sites that have been or may be adversely affected by coal mining subsidence.

scholarly journals A New Identification Method for Surface Cracks from UAV Images Based on Machine Learning in Coal Mining Areas

2020 ◽  
Vol 12 (10) ◽  
pp. 1571
Author(s):  
Fan Zhang ◽  
Zhenqi Hu ◽  
Yaokun Fu ◽  
Kun Yang ◽  
Qunying Wu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Coal Mining ◽  
High Precision ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Surface Cracks ◽  
Mining Areas ◽  
Identification Method ◽  
Uav Images ◽  
Uav Image

Obtaining real-time, objective, and high-precision distribution information of surface cracks in mining areas is the first task for studying the development regularity of surface cracks and evaluating the risk. The complex geological environment in the mining area leads to low accuracy and efficiency of the existing extracting cracks methods from unmanned air vehicle (UAV) images. Therefore, this manuscript proposes a new identification method of surface cracks from UAV images based on machine learning in coal mining areas. First, the acquired UAV image is cut into small sub-images, and divided into four datasets according to the characteristics of background information: Bright Ground, Dark Dround, Withered Vegetation, and Green Vegetation. Then, for each dataset, a training sample is established with cracks and no cracks as labels and the RGB (red, green, and blue) three-band value of the sub-image as feature. Finally, the best machine learning algorithms, dimensionality reduction methods and image processing techniques are obtained through comparative analysis. The results show that using the V-SVM (Support vector machine with V as penalty function) machine learning algorithm, principal component analysis (PCA) to reduce the full features to 95% of the original variance, and image color enhancement by Laplace sharpening, the overall accuracy could reach 88.99%. This proves that the method proposed in this manuscript can achieve high-precision crack extraction from UAV image.

scholarly journals Cutting Path Planning Technology of Shearer Based on Virtual Reality

2020 ◽  
Vol 10 (3) ◽  
pp. 771 ◽  
Author(s):  
Juanli Li ◽  
Yang Liu ◽  
Jiacheng Xie ◽  
Xuewen Wang ◽  
Xing Ge
Keyword(s):  
Virtual Reality ◽  
Path Planning ◽  
Production Process ◽  
Evaluation Method ◽  
Fuzzy Comprehensive Evaluation ◽  
Prototype System ◽  
Low Degree ◽  
Virtual Operation ◽  
Scraper Conveyor ◽  
Cutting Path

With regards to the low degree of digitization, lack of real geological terrain, and low degree of automation in the cutting process of the traditional virtual fully mechanized mining face, we studied the key technologies of virtual operation and cutting path planning of the shearer on the three-dimensional (3D) roof and floor based on the virtual reality engine (Unity3D). Firstly, the virtual 3D coal seam was constructed through the 3D geological coordinate data of the mine. On this basis, the shape function of the scraper conveyor with the adaptive configuration on the floor was constructed to obtain the combined operation of the virtual shearer and the scraper conveyor. The movement of the shearer’s walking and height-adjustment was then, analyzed. A strategy for automatic height-adjustment based on the adjustment of the direction of the drum movement is hence, proposed to control the cutting path of the shearer. Finally, different experimental schemes were simulated in the developed prototype system after which each of the schemes was evaluated using the fuzzy comprehensive evaluation method. The results show that the proposed strategy for trajectory control can improve the accuracy and stability of the shearer’s motion trajectory. In Unity3D, the pre-selected schemes and digital and visual planning of coal production are previewed ahead of time, the whole production process can be mapped synchronously in the production process. It is also obtained that the virtual preview and evaluation of the production process can provide some guidance for actual production.

scholarly journals Effect of Underground Coal Mining on Slope Morphology and Soil Erosion

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Liu Ning ◽  
Zhao Xiao-Guang ◽  
Song Shi-Jie ◽  
Zhou Wen-Fu
Keyword(s):  
Soil Erosion ◽  
Surface Morphology ◽  
Coal Mining ◽  
Underground Mining ◽  
Slope Gradient ◽  
Underground Coal Mining ◽  
Slope Length ◽  
Natural Slope ◽  
Included Angle ◽  
Working Face

Underground coal mining will cause large-scale surrounding rock movement, resulting in surface subsidence and irreversible deformation of surface morphology, which would lead to geological disasters and ecological environment problems. In this paper, FLAC3D numerical model is built based on the natural slope gradient, slope type, and included angle between the slope and working face, and their influences on the change of surface morphology and soil erosion caused by underground coal mining is studied. Research results show that the change of slope gradient caused by underground mining decreases with the increase of natural slope gradient, while slope length has opposite laws; different slope types have different changes of slope morphology. The order of slope types corresponding to gradient changes is mixed slope < uniform slope < concave slope < convex slope; the length of the concave and uniform slope decreases, and the convex and mixed slope length increases. When the included angle between the slope and working face is 0° ≤ α < 90°, the underground mining will cause the natural slope gradient increase, the change of the slope gradient will increase with the rise of the angle, the slope length will decrease, and the rate of decrease will be reduced with the increase of the angle. Coal mining will cause the increasing of the runoff and erosion modulus of slope, mainly runoff modulus.

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