The ecological degradation caused by open-pit activities has become a major challenge in resource-rich regions of China.Traditional methods for identifying ecological restoration elements in abandoned mines based prim...The ecological degradation caused by open-pit activities has become a major challenge in resource-rich regions of China.Traditional methods for identifying ecological restoration elements in abandoned mines based primarily on manual interpretation,which are time-consuming and lack scalability.This study proposes an intelligent mapping framework that integrates UAV-based remote sensing data with deep learning-based semantic segmentation to automatically extract key restoration elements in abandoned open-pit mines.High-resolution RGB imagery and topographic derivatives were acquired for a mining area in Lingqiu County,Shanxi Province.A specialized four-channel dataset was constructed to enhance model performance,and three semantic segmentation models(U-Net,DeepLab v^(3+),and PAN)were evaluated.Results show that the PAN model with an EfficientNet-B4 backbone achieves the best performance,yielding a mean accuracy of 82.41%,recall of 80.38%,F1-score of 80.29%,and IoU of 67.46%.The proposed method effectively distinguishes between tailings slopes,tailings platform,open-pit areas,and natural zones,even in scenarios where spectral similarity limits traditional classification.This study demonstrates the feasibility and efficiency of applying deep learning to UAV remote sensing for mine ecological restoration.The proposed framework provides a scalable and practical solution for supporting high-resolution restoration planning in complex mining environments.展开更多
A modified algorithm of combined GPS/GLONASS precise point positioning （GG-PPP） was developed by decreasing the number of unknowns to be estimated so that accurate position solutions can be achieved in the case of l...A modified algorithm of combined GPS/GLONASS precise point positioning （GG-PPP） was developed by decreasing the number of unknowns to be estimated so that accurate position solutions can be achieved in the case of less number of visible satellites. The system time difference between GPS and GLONASS （STDGG） and zenith tropospheric delay （ZTD） values were firstly estimated in an open sky condition using the traditional GG-PPP algorithm. Then, they were used as a priori known values in the modified algorithm instead of estimating them as unknowns. The proposed algorithm was tested using observations collected at BJFS station in a simulated open-pit mine environment. The results show that the position filter converges much faster to a stable value in all three coordinate components using the modified algorithm than using the traditional algorithm. The modified algorithm achieves higher positioning accuracy as well. The accuracy improvement in the horizontal direction and vertical direction reaches 69% and 95% at a satellite elevation mask angle of 50°, respectively.展开更多
In order to reduce the horizontal crossing transportation problems between coal trucks and stripping trucks,large and small vehicles,and transport trucks and belt conveyors at key points of open pit mine in production...In order to reduce the horizontal crossing transportation problems between coal trucks and stripping trucks,large and small vehicles,and transport trucks and belt conveyors at key points of open pit mine in production,the separate transportation mode of underpass bridge and overpass steel trestle is proposed to optimize the open pit development transportation system,so as to solve the practical problems that the horizontal cross of transport vehicles causes vehicle blockage,affects production schedule and production safety.The results show that the horizontal crossing road can be changed into a separate type of overpass steel trestle,which can realize the classified transportation of large and small vehicles,reduce the traffic density,make vehicles with different functions go their own way,eliminate the hidden danger of traffic accidents,and improve the production efficiency.展开更多
In recent years, the development of mineral resources has been increasingly intensified, which has correspondingly brought about very serious ecological and environmental problems, resulting in frequent geological dis...In recent years, the development of mineral resources has been increasingly intensified, which has correspondingly brought about very serious ecological and environmental problems, resulting in frequent geological disasters such as collapses and landslides, and increasingly severe environmental pollution problems. It has also affected the land structure accordingly, causing the mining area to gradually evolve into a mining wasteland, and continuously reducing the land utilization rate. For human beings, mineral resources are an important basis for their survival. However, in spite of this, we should not sacrifice the ecological environment for economic development. For this reason, our country has actively carried out the research on the restoration of mine geological environment, and has achieved good results in the utilization and consolidation of land resources, which has effectively solved the contradiction and conflict among people, land and environment in our country. In the following, the classic environmental restoration and management model will be summarized based on the engineering examples of geological environment restoration and management of domestic outstanding abandoned open-pit mines. It is hoped that the safety of people's lives and property can be effectively guaranteed, and human survival and development needs can be effectively met.展开更多
The design and practice in supporting the cut slope of an open-pit mine wereintroduced, in which the high pressure grouting method was used in reinforcing the weak formation inthe slopes. Based on a detailed geologica...The design and practice in supporting the cut slope of an open-pit mine wereintroduced, in which the high pressure grouting method was used in reinforcing the weak formation inthe slopes. Based on a detailed geological survey of the slope, a theoretical analysis was carriedout, and the design parameters were proposed, where the Tresca or Mohr-Coulomb yield criteria wasemployed. A patent technology, named 'Technology of high pressure and multiple grouting in differentlevels within a single hole', was employed in the construction. Anchor bars were also installed asgrouting proceeds. This method combines anchoring and grouting comprehensively and was foundsuccessful in practice.展开更多
Ore production is usually affected by multiple influencing inputs at open-pit mines.Nevertheless,the complex nonlinear relationships between these inputs and ore production remain unclear.This becomes even more challe...Ore production is usually affected by multiple influencing inputs at open-pit mines.Nevertheless,the complex nonlinear relationships between these inputs and ore production remain unclear.This becomes even more challenging when training data(e.g.truck haulage information and weather conditions)are massive.In machine learning(ML)algorithms,deep neural network(DNN)is a superior method for processing nonlinear and massive data by adjusting the amount of neurons and hidden layers.This study adopted DNN to forecast ore production using truck haulage information and weather conditions at open-pit mines as training data.Before the prediction models were built,principal component analysis(PCA)was employed to reduce the data dimensionality and eliminate the multicollinearity among highly correlated input variables.To verify the superiority of DNN,three ANNs containing only one hidden layer and six traditional ML models were established as benchmark models.The DNN model with multiple hidden layers performed better than the ANN models with a single hidden layer.The DNN model outperformed the extensively applied benchmark models in predicting ore production.This can provide engineers and researchers with an accurate method to forecast ore production,which helps make sound budgetary decisions and mine planning at open-pit mines.展开更多
Monitoring the stability of steep slopes of open-pit mines is a major issue relating to production safety in mines.In order to determine the technical parameters of a new type of supervising system applied in monitori...Monitoring the stability of steep slopes of open-pit mines is a major issue relating to production safety in mines.In order to determine the technical parameters of a new type of supervising system applied in monitoring steep slopes of open-pit mines,the MSARMA method was used to establish analytical models for the monitoring system,given various parameter settings based on the description of mechanical monitoring principles.We used this sensitivity analysis to conclude that the setting of the most sensitive location of a mechanical monitoring system should be within a range of 1/5～1/2 of the lower part in a vertical direction of steep slopes,with a rational and feasible range of the dip angle setting between 0°～20°.Given the analytical results of our on-site experiments,we have shown that the parameters determined reflect the stability of steep slopes accurately and effectively.These conclusions provide a basis for the application of a new type of steep slope stability monitoring technology in open-pit mines.展开更多
The components of dust-suppressant were determined based on the analysis on characteristics and mechanisms of road dust raising in open-pit mines. The components were initially selected from moisture agent, coagulatio...The components of dust-suppressant were determined based on the analysis on characteristics and mechanisms of road dust raising in open-pit mines. The components were initially selected from moisture agent, coagulation agent and surfactant. The optimal formulation was determined based on orthogonal test and using the water loss rate as the evaluation index. The performances of moisture releasing and adsorption, wind resistance of optimal formulation in the natural environment were tested. The results show that the formula obtained in experiments provide a good performance of moisture absorption and water retention, and it also had a good dust preventing and controlling performance due to its high surface strength and consolidation under dry conditions. It has good application prospects considering the wide variety of sources for materials and the simple preparation process.展开更多
In order to increase production efficiency at open-pit mines, on the basis oflinear programming, a practical mathematical model for optimizing truck flow was developed, whichimproved the traditional fixed manual sched...In order to increase production efficiency at open-pit mines, on the basis oflinear programming, a practical mathematical model for optimizing truck flow was developed, whichimproved the traditional fixed manual schedule method. The model has advantages from linearprogramming and objective programming, makes most handling points working at full capacity and keepsan optimized ratio between trucks and excavators. For ensuring feasibility of the model inpractical production, four standards for feasibility test were proposed. The model satisfied all thestandards. The application in a large scale open-pit iron mine indicated that the model reduced thenumber of required trucks by 10 percent compared with the fixed manual schedule method.展开更多
This study investigates a truck scheduling problem in open-pit mines,which focuses on optimizing truck transportation and commercial coal production.Autonomous dump trucks are essential transportation tools in the min...This study investigates a truck scheduling problem in open-pit mines,which focuses on optimizing truck transportation and commercial coal production.Autonomous dump trucks are essential transportation tools in the mines;they transport the raw coals and rocks excavated by electric shovels to the unloading stations.Raw coals with different calorific values are processed to produce commercial coals for sale.This process requires maintaining a calorific balance between the excavated raw coals and the blended commercial coals.We formulate a mixed-integer linear programming model for the truck scheduling problem in open-pit mines.The objective of this decision model is to minimize the total working time of all trucks.To solve the proposed model efficiently in large-scale instances,a branch-and-price based exact algorithm is devised.Based on real data of an open-pit mine in Holingol,Inner Mongolia,China,numerical experiments are performed to validate the efficiency of the proposed algorithm.The experiment results show that the optimality gap of the proposed algorithm by comparing with CPLEX is zero;and the solution time of CPLEX is 2.46 times that of the proposed algorithm.Moreover,sensitivity analyses are conducted to derive some managerial insights.For example,open-pit mine managers should carefully consider the truck fleet deployment,including the number of trucks and the capacity of trucks.Additionally,the spatial distribution of unloading stations and electric shovels is crucial for enhancing transportation efficiency in open-pit mines.展开更多
Three important aspects of phase-mining must be optimized:the number of phases,the geometry and location of each phase-pit(including the ultimate pit),and the ore and waste quantities to be mined in each phase.A model...Three important aspects of phase-mining must be optimized:the number of phases,the geometry and location of each phase-pit(including the ultimate pit),and the ore and waste quantities to be mined in each phase.A model is presented,in which a sequence of geologically optimum pits is first generated and then dynamically evaluated to simultaneously optimize the above three aspects,with the objective of maximizing the overall net present value.In this model,the dynamic nature of the problem is fully taken into account with respect to both time and space,and is robust in accommodating different pit wall slopes and different bench heights.The model is applied to a large deposit consisting of 2044 224 blocks and proved to be both efficient and practical.展开更多
The stability of open-pit mine slopes is crucial for safe and efficient mining operations.However,the presence of weak interlayers poses significant challenges in maintaining the stability of slopes.To explore the imp...The stability of open-pit mine slopes is crucial for safe and efficient mining operations.However,the presence of weak interlayers poses significant challenges in maintaining the stability of slopes.To explore the impact of the rock arching effect on slopes during excavation,understand the deformation zones and evaluation stages in such environments,and analyze the formation and characteristics of cracks,this study investigated the instability mechanism of open-pit mine slopes with weak interlayers through physical and numerical modeling.Focusing on the Zaharnur open-pit coal mine in China as a prototype,a sophisticated physical model test employing particle image velocimetry and Brillouin optical frequency domain analysis was conducted to comprehensively analyze the displacement and strain variation characteristics of open-pit mine slopes.The displacement,strain,stress redistribution,and failure processes of slopes under excavation were comprehensively analyzed through physical and numerical modeling.The results showed that the slope model exhibited a strain pattern in which the strain incrementally increased from its center toward the edges,and the landslide thrust was converted into an internal force along the arch axis and transmitted to the supports.The concept of the rock arching effect specific to soft rocks was proposed,shedding new light on an important phenomenon specific to open-pit slopes with weak interlayers.Based on its deformation characteristics,the slope could be divided into three areas:The excavation influence area,the crack area and the failure area.In addition,the ratios of the height and width of the outermost cracks to the excavation width fluctuated in the ranges of 0.36–0.49 and0.72–1.00,respectively.These findings contribute to a better understanding of the instability mechanisms in open-pit mine slopes with weak interlayers and provide valuable guidelines for safe mining practices.展开更多
Enhancing the mining speed of a working face has become the primary approach to achieve high production and efficiency in coal mines,thereby further improving the production capacity.However,the problem of rock bursts...Enhancing the mining speed of a working face has become the primary approach to achieve high production and efficiency in coal mines,thereby further improving the production capacity.However,the problem of rock bursts resulting from this approach has become increasingly serious.Therefore,to implement coal mine safety and efficient extraction,the impact of deformation pressure caused by different mining speeds should be considered,and a reasonable mining speed of the working face should be determined.The influence of mining speed on overlying rock breaking in the stope is analyzed by establishing a key layer block rotation and subsidence model.Results show that with the increasing mining speed,the compression amount of gangue in the goaf decreases,and the rotation and subsidence amount of rock block B above goaf decreases,forcing the rotation and subsidence amount of rock block A above roadway to increase.Consequently,the contact mode between rock block A and rock block B changes from line contact to point contact,and the horizontal thrust and shear force between blocks increase.The increase in rotation and subsidence of rock block A intensifies the compression degree of coal and rock mass below the key layer,thereby increasing the stress concentration degree of coal and rock mass as well as the total energy accumulation.In addition,due to the insufficient compression of gangue in the goaf,the bending and subsidence space of the far-field key layer are limited,the length of the suspended roof increases,and the influence range of mining stress and the energy accumulation range expand.Numerical test results and underground microseismic monitoring results verify the correlation between mining speed and stope energy,and high-energy events generally appear 1-2 d after the change in mining speed.On this basis,the statistical principle confirms that the maximum mining speed of the working face at 6 m/d is reasonable.展开更多
Based on the externality theory and the environmental value theory, the hypothesis of charging for waste dumping of open-pit metal mines was put forth. The charging methods were designed according to the characteristi...Based on the externality theory and the environmental value theory, the hypothesis of charging for waste dumping of open-pit metal mines was put forth. The charging methods were designed according to the characteristics of waste dumping of openpit metal mines, including charging based on the dumping amount of the total waste, multi-charging factors, exceeding standard punishment charging, and so on. The main charging parameter is based on the dumping area rather than the total amount of waste dumping. The charging model of waste dumping of open-pit mines was formulated, and the charging rate was divided into two parts, i.e., the standard charging rate and the differential charging rate. The standard charging rate was derived using the equilibrium dynamic model, whereas the differential one was obtained by establishing the fuzzy synthesized evaluation model.展开更多
The Internet of Things(IoT)has orchestrated various domains in numerous applications,contributing significantly to the growth of the smart world,even in regions with low literacy rates,boosting socio-economic developm...The Internet of Things(IoT)has orchestrated various domains in numerous applications,contributing significantly to the growth of the smart world,even in regions with low literacy rates,boosting socio-economic development.This study provides valuable insights into optimizing wireless communication,paving the way for a more connected and productive future in the mining industry.The IoT revolution is advancing across industries,but harsh geometric environments,including open-pit mines,pose unique challenges for reliable communication.The advent of IoT in the mining industry has significantly improved communication for critical operations through the use of Radio Frequency(RF)protocols such as Bluetooth,Wi-Fi,GSM/GPRS,Narrow Band(NB)-IoT,SigFox,ZigBee,and Long Range Wireless Area Network(LoRaWAN).This study addresses the optimization of network implementations by comparing two leading free-spreading IoT-based RF protocols such as ZigBee and LoRaWAN.Intensive field tests are conducted in various opencast mines to investigate coverage potential and signal attenuation.ZigBee is tested in the Tadicherla open-cast coal mine in India.Similarly,LoRaWAN field tests are conducted at one of the associated cement companies(ACC)in the limestone mine in Bargarh,India,covering both Indoor-toOutdoor(I2O)and Outdoor-to-Outdoor(O2O)environments.A robust framework of path-loss models,referred to as Free space,Egli,Okumura-Hata,Cost231-Hata and Ericsson models,combined with key performance metrics,is employed to evaluate the patterns of signal attenuation.Extensive field testing and careful data analysis revealed that the Egli model is the most consistent path-loss model for the ZigBee protocol in an I2O environment,with a coefficient of determination(R^(2))of 0.907,balanced error metrics such as Normalized Root Mean Square Error(NRMSE)of 0.030,Mean Square Error(MSE)of 4.950,Mean Absolute Percentage Error(MAPE)of 0.249 and Scatter Index(SI)of 2.723.In the O2O scenario,the Ericsson model showed superior performance,with the highest R^(2)value of 0.959,supported by strong correlation metrics:NRMSE of 0.026,MSE of 8.685,MAPE of 0.685,Mean Absolute Deviation(MAD)of 20.839 and SI of 2.194.For the LoRaWAN protocol,the Cost-231 model achieved the highest R^(2)value of 0.921 in the I2O scenario,complemented by the lowest metrics:NRMSE of 0.018,MSE of 1.324,MAPE of 0.217,MAD of 9.218 and SI of 1.238.In the O2O environment,the Okumura-Hata model achieved the highest R^(2)value of 0.978,indicating a strong fit with metrics NRMSE of 0.047,MSE of 27.807,MAPE of 27.494,MAD of 37.287 and SI of 3.927.This advancement in reliable communication networks promises to transform the opencast landscape into networked signal attenuation.These results support decision-making for mining needs and ensure reliable communications even in the face of formidable obstacles.展开更多
Renewable energy storage technologies are critical for transitioning to sustainable energy systems,with salt caverns playing a significant role in large-scale solutions.In water-soluble mining of low-grade salt format...Renewable energy storage technologies are critical for transitioning to sustainable energy systems,with salt caverns playing a significant role in large-scale solutions.In water-soluble mining of low-grade salt formations,insoluble impurities and interlayers detach during salt dissolution and accumulate as sediment at the cavern base,thereby reducing the storage capacity and economic viability of salt cavern gas storage(SCGS).This study investigates sediment formation mechanisms,void distribution,and voidage in the Huai'an low-grade salt mine,introducing a novel self-developed physical simulation device for two butted-well horizontal(TWH)caverns that replicates compressed air injection and brine discharge.Experiments comparing“one injection and one discharge”and“two injections and one discharge”modes revealed that(1)compressed air effectively displaces brine from sediment voids,(2)a 0.5 MPa injection pressure corresponds to a 10.3 MPa operational lower limit in practice,aligning with field data,and(3)sediment voidage is approximately 46%,validated via air-brine interface theory.The“two injections and one discharge”mode outperformed in both discharge volume and rate.Additionally,a mathematical model for brine displacement via compressed air was established.These results provide foundational insights for optimizing compressed air energy storage(CAES)in low-grade salt mines,advancing their role in renewable energy integration.展开更多
Once a mining village,Jingshan in Hangzhou has reinvented itself over the past 20 years as a thriving model of green transformation.STROLLING through a village named Jingshan located in Hangzhou City,east China’s Zhe...Once a mining village,Jingshan in Hangzhou has reinvented itself over the past 20 years as a thriving model of green transformation.STROLLING through a village named Jingshan located in Hangzhou City,east China’s Zhejiang Province,one will notice the image of a“little tea farmer”wearing a bamboo hat and carrying a tea basket in many places.展开更多
Gas storage in abandoned mines is one way to reuse waste space resources.The surrounding rock of gas storage reservoirs in underground roadways undergoes damage and deformation under the cyclic loading of gas charging...Gas storage in abandoned mines is one way to reuse waste space resources.The surrounding rock of gas storage reservoirs in underground roadways undergoes damage and deformation under the cyclic loading of gas charging and discharging,which can pose a risk to the safety of the reservoirs.This study establishes a true triaxial numerical model of rock mass with the discrete element method(DEM)and explores the crack evolution of surrounding rock of underground gas storage during cyclic loading and unloading.Also,a damage evolution model in numerical analysis considering residual deformation is developed to explain the experimental results.As was revealed,cyclic loading and unloading resulted in fatigue damage in the specimen and caused strength deterioration of the specimen.During the loading process,the uniformly distributed force chains of the rock mass redistributed,evolving gradually to mostly transverse force chains.This contributed to the appearance of blank areas in the force chains when through cracks appear.The ratio of tensile cracks to shear cracks gradually decreases and finally stabilizes at 7:1.The damage evolution model considering residual strain can be mutually verified with the numerical simulation results.Based on the DEM model,it was found that there was a certain threshold of confining pressure.When the confining pressure exceeded 30 MPa,the deformation to ductility of sandstone samples began to accelerate,with a greater residual strength.This study provides a theoretical basis for analyzing the long-term mechanical behavior of surrounding rock of gas storage in abandoned mines.展开更多
Mine surveying is an indispensable and crucial basic technical work in the process of mineral resource development.It plays an important role throughout the entire life cycle of a mine,from exploration,design,construc...Mine surveying is an indispensable and crucial basic technical work in the process of mineral resource development.It plays an important role throughout the entire life cycle of a mine,from exploration,design,construction,and production to closure,and is known as the“eyes of the mine”.With the rapid development of satellite technology,computer science,artificial intelligence,robotics,and spatiotemporal big data,mine surveying science and technology supported by spatial information technology is increasingly playing the role of the“brain of the mine”.This paper systematically summarizes the characteristics of mining surveying science and technology in contemporary and future mining development.First,based on the requirements of safe,efficient,and green development in modern mining,an analysis is conducted on the innovative practices of intelligent mining methods;secondly,it explains the transformation of regional economic and mining economic integration towards lengthening the industrial chain and scientific and technological innovation.Regarding intelligent mining,this paper discusses three technical dimensions:(1)By establishing a spatiotemporal data model of the mine,real-time perception and remote intelligent control of the production system are realized;(2)Based on the transparent mine three-dimensional geological modelling technology,the accuracy of geological condition prediction and the scientific nature of mining decisions are significantly improved;(3)By integrating multi-source remote sensing data and deep learning algorithms,a high-precision coal and rock identification system is constructed.The study further revealed the innovative application value of mine surveying in the post-mining era,including:diversified utilization of underground space in mining areas(tourism development,geothermal energy storage,pumped storage,etc.),multi-platform remote sensing coordinated ecological restoration monitoring,and optimized land space planning in mining areas.Practice has proved that mine surveying technology is an important technical engine for promoting green transformation and high-quality development in resource-based regions,and has irreplaceable strategic significance for achieving coordinated development of energy,economy,and environment.展开更多
Processes supported by process-aware information systems are subject to continuous and often subtle changes due to evolving operational,organizational,or regulatory factors.These changes,referred to as incremental con...Processes supported by process-aware information systems are subject to continuous and often subtle changes due to evolving operational,organizational,or regulatory factors.These changes,referred to as incremental concept drift,gradually alter the behavior or structure of processes,making their detection and localization a challenging task.Traditional process mining techniques frequently assume process stationarity and are limited in their ability to detect such drift,particularly from a control-flow perspective.The objective of this research is to develop an interpretable and robust framework capable of detecting and localizing incremental concept drift in event logs,with a specific emphasis on the structural evolution of control-flow semantics in processes.We propose DriftXMiner,a control-flow-aware hybrid framework that combines statistical,machine learning,and process model analysis techniques.The approach comprises three key components:(1)Cumulative Drift Scanner that tracks directional statistical deviations to detect early drift signals;(2)a Temporal Clustering and Drift-Aware Forest Ensemble(DAFE)to capture distributional and classification-level changes in process behavior;and(3)Petri net-based process model reconstruction,which enables the precise localization of structural drift using transition deviation metrics and replay fitness scores.Experimental validation on the BPI Challenge 2017 event log demonstrates that DriftXMiner effectively identifies and localizes gradual and incremental process drift over time.The framework achieves a detection accuracy of 92.5%,a localization precision of 90.3%,and an F1-score of 0.91,outperforming competitive baselines such as CUSUM+Histograms and ADWIN+Alpha Miner.Visual analyses further confirm that identified drift points align with transitions in control-flow models and behavioral cluster structures.DriftXMiner offers a novel and interpretable solution for incremental concept drift detection and localization in dynamic,process-aware systems.By integrating statistical signal accumulation,temporal behavior profiling,and structural process mining,the framework enables finegrained drift explanation and supports adaptive process intelligence in evolving environments.Its modular architecture supports extension to streaming data and real-time monitoring contexts.展开更多
文摘The ecological degradation caused by open-pit activities has become a major challenge in resource-rich regions of China.Traditional methods for identifying ecological restoration elements in abandoned mines based primarily on manual interpretation,which are time-consuming and lack scalability.This study proposes an intelligent mapping framework that integrates UAV-based remote sensing data with deep learning-based semantic segmentation to automatically extract key restoration elements in abandoned open-pit mines.High-resolution RGB imagery and topographic derivatives were acquired for a mining area in Lingqiu County,Shanxi Province.A specialized four-channel dataset was constructed to enhance model performance,and three semantic segmentation models(U-Net,DeepLab v^(3+),and PAN)were evaluated.Results show that the PAN model with an EfficientNet-B4 backbone achieves the best performance,yielding a mean accuracy of 82.41%,recall of 80.38%,F1-score of 80.29%,and IoU of 67.46%.The proposed method effectively distinguishes between tailings slopes,tailings platform,open-pit areas,and natural zones,even in scenarios where spectral similarity limits traditional classification.This study demonstrates the feasibility and efficiency of applying deep learning to UAV remote sensing for mine ecological restoration.The proposed framework provides a scalable and practical solution for supporting high-resolution restoration planning in complex mining environments.
基金Project(41004011)supported by the National Natural Science Foundation of ChinaProject(2014M550425)supported by the China Postdoctoral Science Foundation
文摘A modified algorithm of combined GPS/GLONASS precise point positioning （GG-PPP） was developed by decreasing the number of unknowns to be estimated so that accurate position solutions can be achieved in the case of less number of visible satellites. The system time difference between GPS and GLONASS （STDGG） and zenith tropospheric delay （ZTD） values were firstly estimated in an open sky condition using the traditional GG-PPP algorithm. Then, they were used as a priori known values in the modified algorithm instead of estimating them as unknowns. The proposed algorithm was tested using observations collected at BJFS station in a simulated open-pit mine environment. The results show that the position filter converges much faster to a stable value in all three coordinate components using the modified algorithm than using the traditional algorithm. The modified algorithm achieves higher positioning accuracy as well. The accuracy improvement in the horizontal direction and vertical direction reaches 69% and 95% at a satellite elevation mask angle of 50°, respectively.
文摘In order to reduce the horizontal crossing transportation problems between coal trucks and stripping trucks,large and small vehicles,and transport trucks and belt conveyors at key points of open pit mine in production,the separate transportation mode of underpass bridge and overpass steel trestle is proposed to optimize the open pit development transportation system,so as to solve the practical problems that the horizontal cross of transport vehicles causes vehicle blockage,affects production schedule and production safety.The results show that the horizontal crossing road can be changed into a separate type of overpass steel trestle,which can realize the classified transportation of large and small vehicles,reduce the traffic density,make vehicles with different functions go their own way,eliminate the hidden danger of traffic accidents,and improve the production efficiency.
文摘In recent years, the development of mineral resources has been increasingly intensified, which has correspondingly brought about very serious ecological and environmental problems, resulting in frequent geological disasters such as collapses and landslides, and increasingly severe environmental pollution problems. It has also affected the land structure accordingly, causing the mining area to gradually evolve into a mining wasteland, and continuously reducing the land utilization rate. For human beings, mineral resources are an important basis for their survival. However, in spite of this, we should not sacrifice the ecological environment for economic development. For this reason, our country has actively carried out the research on the restoration of mine geological environment, and has achieved good results in the utilization and consolidation of land resources, which has effectively solved the contradiction and conflict among people, land and environment in our country. In the following, the classic environmental restoration and management model will be summarized based on the engineering examples of geological environment restoration and management of domestic outstanding abandoned open-pit mines. It is hoped that the safety of people's lives and property can be effectively guaranteed, and human survival and development needs can be effectively met.
文摘The design and practice in supporting the cut slope of an open-pit mine wereintroduced, in which the high pressure grouting method was used in reinforcing the weak formation inthe slopes. Based on a detailed geological survey of the slope, a theoretical analysis was carriedout, and the design parameters were proposed, where the Tresca or Mohr-Coulomb yield criteria wasemployed. A patent technology, named 'Technology of high pressure and multiple grouting in differentlevels within a single hole', was employed in the construction. Anchor bars were also installed asgrouting proceeds. This method combines anchoring and grouting comprehensively and was foundsuccessful in practice.
基金This work was supported by the Pilot Seed Grant(Grant No.RES0049944)the Collaborative Research Project(Grant No.RES0043251)from the University of Alberta.
文摘Ore production is usually affected by multiple influencing inputs at open-pit mines.Nevertheless,the complex nonlinear relationships between these inputs and ore production remain unclear.This becomes even more challenging when training data(e.g.truck haulage information and weather conditions)are massive.In machine learning(ML)algorithms,deep neural network(DNN)is a superior method for processing nonlinear and massive data by adjusting the amount of neurons and hidden layers.This study adopted DNN to forecast ore production using truck haulage information and weather conditions at open-pit mines as training data.Before the prediction models were built,principal component analysis(PCA)was employed to reduce the data dimensionality and eliminate the multicollinearity among highly correlated input variables.To verify the superiority of DNN,three ANNs containing only one hidden layer and six traditional ML models were established as benchmark models.The DNN model with multiple hidden layers performed better than the ANN models with a single hidden layer.The DNN model outperformed the extensively applied benchmark models in predicting ore production.This can provide engineers and researchers with an accurate method to forecast ore production,which helps make sound budgetary decisions and mine planning at open-pit mines.
基金Project 1053G032 supported by the Youth Science Foundation of Educational Committee of Heilongjiang Province
文摘Monitoring the stability of steep slopes of open-pit mines is a major issue relating to production safety in mines.In order to determine the technical parameters of a new type of supervising system applied in monitoring steep slopes of open-pit mines,the MSARMA method was used to establish analytical models for the monitoring system,given various parameter settings based on the description of mechanical monitoring principles.We used this sensitivity analysis to conclude that the setting of the most sensitive location of a mechanical monitoring system should be within a range of 1/5～1/2 of the lower part in a vertical direction of steep slopes,with a rational and feasible range of the dip angle setting between 0°～20°.Given the analytical results of our on-site experiments,we have shown that the parameters determined reflect the stability of steep slopes accurately and effectively.These conclusions provide a basis for the application of a new type of steep slope stability monitoring technology in open-pit mines.
文摘The components of dust-suppressant were determined based on the analysis on characteristics and mechanisms of road dust raising in open-pit mines. The components were initially selected from moisture agent, coagulation agent and surfactant. The optimal formulation was determined based on orthogonal test and using the water loss rate as the evaluation index. The performances of moisture releasing and adsorption, wind resistance of optimal formulation in the natural environment were tested. The results show that the formula obtained in experiments provide a good performance of moisture absorption and water retention, and it also had a good dust preventing and controlling performance due to its high surface strength and consolidation under dry conditions. It has good application prospects considering the wide variety of sources for materials and the simple preparation process.
基金This work was financially supported by the National Key Technologies RD Program in the 10th five-year plan (No.2001BA609A-08).
文摘In order to increase production efficiency at open-pit mines, on the basis oflinear programming, a practical mathematical model for optimizing truck flow was developed, whichimproved the traditional fixed manual schedule method. The model has advantages from linearprogramming and objective programming, makes most handling points working at full capacity and keepsan optimized ratio between trucks and excavators. For ensuring feasibility of the model inpractical production, four standards for feasibility test were proposed. The model satisfied all thestandards. The application in a large scale open-pit iron mine indicated that the model reduced thenumber of required trucks by 10 percent compared with the fixed manual schedule method.
基金supported by the National Natural Science Foundation of China(Grant Nos.72025103,72394360,72394362,and 72361137001)the Project of Science and Technology Commission of Shanghai Municipality China(Grant No.23JC1402200).
文摘This study investigates a truck scheduling problem in open-pit mines,which focuses on optimizing truck transportation and commercial coal production.Autonomous dump trucks are essential transportation tools in the mines;they transport the raw coals and rocks excavated by electric shovels to the unloading stations.Raw coals with different calorific values are processed to produce commercial coals for sale.This process requires maintaining a calorific balance between the excavated raw coals and the blended commercial coals.We formulate a mixed-integer linear programming model for the truck scheduling problem in open-pit mines.The objective of this decision model is to minimize the total working time of all trucks.To solve the proposed model efficiently in large-scale instances,a branch-and-price based exact algorithm is devised.Based on real data of an open-pit mine in Holingol,Inner Mongolia,China,numerical experiments are performed to validate the efficiency of the proposed algorithm.The experiment results show that the optimality gap of the proposed algorithm by comparing with CPLEX is zero;and the solution time of CPLEX is 2.46 times that of the proposed algorithm.Moreover,sensitivity analyses are conducted to derive some managerial insights.For example,open-pit mine managers should carefully consider the truck fleet deployment,including the number of trucks and the capacity of trucks.Additionally,the spatial distribution of unloading stations and electric shovels is crucial for enhancing transportation efficiency in open-pit mines.
基金Project(50974041) supported by the National Natural Science Foundation of ChinaProject(20090042120040) supported by the Doctoral Program Foundation of the Ministry of Education, ChinaProject(20093910) supported by the Natural Science Foundation of Liaoning Province, China
文摘Three important aspects of phase-mining must be optimized:the number of phases,the geometry and location of each phase-pit(including the ultimate pit),and the ore and waste quantities to be mined in each phase.A model is presented,in which a sequence of geologically optimum pits is first generated and then dynamically evaluated to simultaneously optimize the above three aspects,with the objective of maximizing the overall net present value.In this model,the dynamic nature of the problem is fully taken into account with respect to both time and space,and is robust in accommodating different pit wall slopes and different bench heights.The model is applied to a large deposit consisting of 2044 224 blocks and proved to be both efficient and practical.
基金supported by the National Natural Science Foundation of China(Nos.52204135 and 52374124)Young Elite Scientists Sponsorship Program by China Association for Science and Technology(No.2023QNRC001)+2 种基金Basic Research Project of Liaoning Provincial Department of Education,China(No.LJ222410147010)2022 China Liaoning International Science and Technology Cooperation Plan Project(No.2022JH2/10700004)Ordos Major Science and Technology Program,(No.JBGS-2023-003)。
文摘The stability of open-pit mine slopes is crucial for safe and efficient mining operations.However,the presence of weak interlayers poses significant challenges in maintaining the stability of slopes.To explore the impact of the rock arching effect on slopes during excavation,understand the deformation zones and evaluation stages in such environments,and analyze the formation and characteristics of cracks,this study investigated the instability mechanism of open-pit mine slopes with weak interlayers through physical and numerical modeling.Focusing on the Zaharnur open-pit coal mine in China as a prototype,a sophisticated physical model test employing particle image velocimetry and Brillouin optical frequency domain analysis was conducted to comprehensively analyze the displacement and strain variation characteristics of open-pit mine slopes.The displacement,strain,stress redistribution,and failure processes of slopes under excavation were comprehensively analyzed through physical and numerical modeling.The results showed that the slope model exhibited a strain pattern in which the strain incrementally increased from its center toward the edges,and the landslide thrust was converted into an internal force along the arch axis and transmitted to the supports.The concept of the rock arching effect specific to soft rocks was proposed,shedding new light on an important phenomenon specific to open-pit slopes with weak interlayers.Based on its deformation characteristics,the slope could be divided into three areas:The excavation influence area,the crack area and the failure area.In addition,the ratios of the height and width of the outermost cracks to the excavation width fluctuated in the ranges of 0.36–0.49 and0.72–1.00,respectively.These findings contribute to a better understanding of the instability mechanisms in open-pit mine slopes with weak interlayers and provide valuable guidelines for safe mining practices.
基金supported by Technology Innovation Fund of China Coal Research Institute(2022CX-I-04)Science and Technology Innovation Venture Capital Project of China Coal Technology Engineering Group(2020-2-TD-CXY005)。
文摘Enhancing the mining speed of a working face has become the primary approach to achieve high production and efficiency in coal mines,thereby further improving the production capacity.However,the problem of rock bursts resulting from this approach has become increasingly serious.Therefore,to implement coal mine safety and efficient extraction,the impact of deformation pressure caused by different mining speeds should be considered,and a reasonable mining speed of the working face should be determined.The influence of mining speed on overlying rock breaking in the stope is analyzed by establishing a key layer block rotation and subsidence model.Results show that with the increasing mining speed,the compression amount of gangue in the goaf decreases,and the rotation and subsidence amount of rock block B above goaf decreases,forcing the rotation and subsidence amount of rock block A above roadway to increase.Consequently,the contact mode between rock block A and rock block B changes from line contact to point contact,and the horizontal thrust and shear force between blocks increase.The increase in rotation and subsidence of rock block A intensifies the compression degree of coal and rock mass below the key layer,thereby increasing the stress concentration degree of coal and rock mass as well as the total energy accumulation.In addition,due to the insufficient compression of gangue in the goaf,the bending and subsidence space of the far-field key layer are limited,the length of the suspended roof increases,and the influence range of mining stress and the energy accumulation range expand.Numerical test results and underground microseismic monitoring results verify the correlation between mining speed and stope energy,and high-energy events generally appear 1-2 d after the change in mining speed.On this basis,the statistical principle confirms that the maximum mining speed of the working face at 6 m/d is reasonable.
文摘Based on the externality theory and the environmental value theory, the hypothesis of charging for waste dumping of open-pit metal mines was put forth. The charging methods were designed according to the characteristics of waste dumping of openpit metal mines, including charging based on the dumping amount of the total waste, multi-charging factors, exceeding standard punishment charging, and so on. The main charging parameter is based on the dumping area rather than the total amount of waste dumping. The charging model of waste dumping of open-pit mines was formulated, and the charging rate was divided into two parts, i.e., the standard charging rate and the differential charging rate. The standard charging rate was derived using the equilibrium dynamic model, whereas the differential one was obtained by establishing the fuzzy synthesized evaluation model.
文摘The Internet of Things(IoT)has orchestrated various domains in numerous applications,contributing significantly to the growth of the smart world,even in regions with low literacy rates,boosting socio-economic development.This study provides valuable insights into optimizing wireless communication,paving the way for a more connected and productive future in the mining industry.The IoT revolution is advancing across industries,but harsh geometric environments,including open-pit mines,pose unique challenges for reliable communication.The advent of IoT in the mining industry has significantly improved communication for critical operations through the use of Radio Frequency(RF)protocols such as Bluetooth,Wi-Fi,GSM/GPRS,Narrow Band(NB)-IoT,SigFox,ZigBee,and Long Range Wireless Area Network(LoRaWAN).This study addresses the optimization of network implementations by comparing two leading free-spreading IoT-based RF protocols such as ZigBee and LoRaWAN.Intensive field tests are conducted in various opencast mines to investigate coverage potential and signal attenuation.ZigBee is tested in the Tadicherla open-cast coal mine in India.Similarly,LoRaWAN field tests are conducted at one of the associated cement companies(ACC)in the limestone mine in Bargarh,India,covering both Indoor-toOutdoor(I2O)and Outdoor-to-Outdoor(O2O)environments.A robust framework of path-loss models,referred to as Free space,Egli,Okumura-Hata,Cost231-Hata and Ericsson models,combined with key performance metrics,is employed to evaluate the patterns of signal attenuation.Extensive field testing and careful data analysis revealed that the Egli model is the most consistent path-loss model for the ZigBee protocol in an I2O environment,with a coefficient of determination(R^(2))of 0.907,balanced error metrics such as Normalized Root Mean Square Error(NRMSE)of 0.030,Mean Square Error(MSE)of 4.950,Mean Absolute Percentage Error(MAPE)of 0.249 and Scatter Index(SI)of 2.723.In the O2O scenario,the Ericsson model showed superior performance,with the highest R^(2)value of 0.959,supported by strong correlation metrics:NRMSE of 0.026,MSE of 8.685,MAPE of 0.685,Mean Absolute Deviation(MAD)of 20.839 and SI of 2.194.For the LoRaWAN protocol,the Cost-231 model achieved the highest R^(2)value of 0.921 in the I2O scenario,complemented by the lowest metrics:NRMSE of 0.018,MSE of 1.324,MAPE of 0.217,MAD of 9.218 and SI of 1.238.In the O2O environment,the Okumura-Hata model achieved the highest R^(2)value of 0.978,indicating a strong fit with metrics NRMSE of 0.047,MSE of 27.807,MAPE of 27.494,MAD of 37.287 and SI of 3.927.This advancement in reliable communication networks promises to transform the opencast landscape into networked signal attenuation.These results support decision-making for mining needs and ensure reliable communications even in the face of formidable obstacles.
基金financial support from the National Key Research and Development Program of China(No.2024YFB4007100)the Basic ForwardLooking Project of the Sinopec Science and Technology Department,“Research on the Long-Term Sealing Mechanism of Multi-layer Salt Cavern Hydrogen Storage”(No.P24197-4)。
文摘Renewable energy storage technologies are critical for transitioning to sustainable energy systems,with salt caverns playing a significant role in large-scale solutions.In water-soluble mining of low-grade salt formations,insoluble impurities and interlayers detach during salt dissolution and accumulate as sediment at the cavern base,thereby reducing the storage capacity and economic viability of salt cavern gas storage(SCGS).This study investigates sediment formation mechanisms,void distribution,and voidage in the Huai'an low-grade salt mine,introducing a novel self-developed physical simulation device for two butted-well horizontal(TWH)caverns that replicates compressed air injection and brine discharge.Experiments comparing“one injection and one discharge”and“two injections and one discharge”modes revealed that(1)compressed air effectively displaces brine from sediment voids,(2)a 0.5 MPa injection pressure corresponds to a 10.3 MPa operational lower limit in practice,aligning with field data,and(3)sediment voidage is approximately 46%,validated via air-brine interface theory.The“two injections and one discharge”mode outperformed in both discharge volume and rate.Additionally,a mathematical model for brine displacement via compressed air was established.These results provide foundational insights for optimizing compressed air energy storage(CAES)in low-grade salt mines,advancing their role in renewable energy integration.
文摘Once a mining village,Jingshan in Hangzhou has reinvented itself over the past 20 years as a thriving model of green transformation.STROLLING through a village named Jingshan located in Hangzhou City,east China’s Zhejiang Province,one will notice the image of a“little tea farmer”wearing a bamboo hat and carrying a tea basket in many places.
基金National Natural Science Foundation of China,Grant/Award Numbers:U22A20598,52104107National Key Research and Development Program of China,Grant/Award Numbers:2023YFC2907300,2019YFE0118500,2019YFC1904304Natural Science Foundation of Jiangsu Province,Grant/Award Number:BK20200634。
文摘Gas storage in abandoned mines is one way to reuse waste space resources.The surrounding rock of gas storage reservoirs in underground roadways undergoes damage and deformation under the cyclic loading of gas charging and discharging,which can pose a risk to the safety of the reservoirs.This study establishes a true triaxial numerical model of rock mass with the discrete element method(DEM)and explores the crack evolution of surrounding rock of underground gas storage during cyclic loading and unloading.Also,a damage evolution model in numerical analysis considering residual deformation is developed to explain the experimental results.As was revealed,cyclic loading and unloading resulted in fatigue damage in the specimen and caused strength deterioration of the specimen.During the loading process,the uniformly distributed force chains of the rock mass redistributed,evolving gradually to mostly transverse force chains.This contributed to the appearance of blank areas in the force chains when through cracks appear.The ratio of tensile cracks to shear cracks gradually decreases and finally stabilizes at 7:1.The damage evolution model considering residual strain can be mutually verified with the numerical simulation results.Based on the DEM model,it was found that there was a certain threshold of confining pressure.When the confining pressure exceeded 30 MPa,the deformation to ductility of sandstone samples began to accelerate,with a greater residual strength.This study provides a theoretical basis for analyzing the long-term mechanical behavior of surrounding rock of gas storage in abandoned mines.
基金supported by the National Natural Science Foundation of China(Nos.52394193 and U22A20569)the National Key R&D Program Projects(Nos.2023YFC3804200 and 2023YFC3804205).
文摘Mine surveying is an indispensable and crucial basic technical work in the process of mineral resource development.It plays an important role throughout the entire life cycle of a mine,from exploration,design,construction,and production to closure,and is known as the“eyes of the mine”.With the rapid development of satellite technology,computer science,artificial intelligence,robotics,and spatiotemporal big data,mine surveying science and technology supported by spatial information technology is increasingly playing the role of the“brain of the mine”.This paper systematically summarizes the characteristics of mining surveying science and technology in contemporary and future mining development.First,based on the requirements of safe,efficient,and green development in modern mining,an analysis is conducted on the innovative practices of intelligent mining methods;secondly,it explains the transformation of regional economic and mining economic integration towards lengthening the industrial chain and scientific and technological innovation.Regarding intelligent mining,this paper discusses three technical dimensions:(1)By establishing a spatiotemporal data model of the mine,real-time perception and remote intelligent control of the production system are realized;(2)Based on the transparent mine three-dimensional geological modelling technology,the accuracy of geological condition prediction and the scientific nature of mining decisions are significantly improved;(3)By integrating multi-source remote sensing data and deep learning algorithms,a high-precision coal and rock identification system is constructed.The study further revealed the innovative application value of mine surveying in the post-mining era,including:diversified utilization of underground space in mining areas(tourism development,geothermal energy storage,pumped storage,etc.),multi-platform remote sensing coordinated ecological restoration monitoring,and optimized land space planning in mining areas.Practice has proved that mine surveying technology is an important technical engine for promoting green transformation and high-quality development in resource-based regions,and has irreplaceable strategic significance for achieving coordinated development of energy,economy,and environment.
文摘Processes supported by process-aware information systems are subject to continuous and often subtle changes due to evolving operational,organizational,or regulatory factors.These changes,referred to as incremental concept drift,gradually alter the behavior or structure of processes,making their detection and localization a challenging task.Traditional process mining techniques frequently assume process stationarity and are limited in their ability to detect such drift,particularly from a control-flow perspective.The objective of this research is to develop an interpretable and robust framework capable of detecting and localizing incremental concept drift in event logs,with a specific emphasis on the structural evolution of control-flow semantics in processes.We propose DriftXMiner,a control-flow-aware hybrid framework that combines statistical,machine learning,and process model analysis techniques.The approach comprises three key components:(1)Cumulative Drift Scanner that tracks directional statistical deviations to detect early drift signals;(2)a Temporal Clustering and Drift-Aware Forest Ensemble(DAFE)to capture distributional and classification-level changes in process behavior;and(3)Petri net-based process model reconstruction,which enables the precise localization of structural drift using transition deviation metrics and replay fitness scores.Experimental validation on the BPI Challenge 2017 event log demonstrates that DriftXMiner effectively identifies and localizes gradual and incremental process drift over time.The framework achieves a detection accuracy of 92.5%,a localization precision of 90.3%,and an F1-score of 0.91,outperforming competitive baselines such as CUSUM+Histograms and ADWIN+Alpha Miner.Visual analyses further confirm that identified drift points align with transitions in control-flow models and behavioral cluster structures.DriftXMiner offers a novel and interpretable solution for incremental concept drift detection and localization in dynamic,process-aware systems.By integrating statistical signal accumulation,temporal behavior profiling,and structural process mining,the framework enables finegrained drift explanation and supports adaptive process intelligence in evolving environments.Its modular architecture supports extension to streaming data and real-time monitoring contexts.
