The key technology of semi-continuous conveyor system decides the successful using of this system. The key technology includes optimal initial building depth of this system,the crusher moving step and the layout of co...The key technology of semi-continuous conveyor system decides the successful using of this system. The key technology includes optimal initial building depth of this system,the crusher moving step and the layout of conveyor system are studied, and their calculating models are built up.展开更多
Belt conveyors are extensively utilized in mining and power industries.In a typical coal mine conveyor system,coal is transported over distances exceeding 2 km,involving more than 20000 idlers,which far exceeds a reas...Belt conveyors are extensively utilized in mining and power industries.In a typical coal mine conveyor system,coal is transported over distances exceeding 2 km,involving more than 20000 idlers,which far exceeds a reasonable manual inspection capacity.Given that idlers typically have a lifespan of 1-2 years,there is an urgent need for a rapid,cost-effective,and intelligent safety monitoring system.However,current embedded systems face prohibitive replacement costs,while conventional monitoring technologies suffer from inefficiency at low rotational speeds and lack systematic structural optimization frameworks for diverse idler types and parameters.To address these challenges,this paper introduces an integrated,on-site detachable self-powered idler condition monitoring system(ICMS).This system combines energy harvesting based on the magnetic modulation technology with wireless condition monitoring capabilities.Specifically,it develops a data-driven model integrating convolutional neural networks(CNNs) with genetic algorithms(GAs).The conventional testing results show that the data-driven model not only significantly accelerates the parameter response time,but also achieves a prediction accuracy of 92.95%.The in-situ experiments conducted in coal mines demonstrate the system's reliability and monitoring functionality under both no-load and fullload conditions.This research provides an innovative self-powered condition monitoring solution and develops an efficient data-driven model,offering feasible online monitoring approaches for smart mine construction.展开更多
The roller is one of the fundamental elements of ore belt conveyor systems since it supports,guides,and directs material on the belt.This component comprises a body(the external tube)that rotates around a fixed shaft ...The roller is one of the fundamental elements of ore belt conveyor systems since it supports,guides,and directs material on the belt.This component comprises a body(the external tube)that rotates around a fixed shaft supported by easels.The external tube and shaft of rollers used in ore conveyor belts are mostly made of steel,resulting in high mass,hindering maintenance and replacement.Aiming to achieve mass reduction,we conducted a structural optimization of a roller with a polymeric external tube(hereafter referred to as a polymeric roller),seeking the optimal values for two design parameters:the inner diameter of the external tube and the shaft diameter.The optimization was constrained by admissible values for maximum stress,maximum deflection and misalignment angle between the shaft and bearings.A finite element model was built in Ansys Workbench to obtain the structural response of the system.The roller considered is composed of an external tube made of high-density polyethylene(HDPE),bearing seats of polyamide 6(PA6),and a steel shaft.To characterize the polymeric materials(HDPE and PA6),stress relaxation tests were conducted,and the data on shear modulus variation over time were inserted into the model to calculate Prony series terms to account for viscoelastic effects.The roller optimization was performed using surrogate modeling based on radial basis functions,with the Globalized Bounded Nelder-Mead(GBNM)algorithm as the optimizer.Two optimization cases were conducted.In the first case,concerning the roller’s initial material settings,the designs found violated the constraints and could not reduce mass.In the second case,by using PA6 in both bearing seats and the tube,a design configuration was found that respected all constraints and reduced the roller mass by 15.5%,equivalent to 5.15 kg.This study is among the first to integrate experimentally obtained viscoelastic data into the surrogate-based optimization of polymeric rollers,combining methodological innovation with industrial relevance.展开更多
Foreign body classification on coal conveyor belts is a critical component of intelligent coal mining systems.Previous approaches have primarily utilized convolutional neural networks(CNNs)to effectively integrate spa...Foreign body classification on coal conveyor belts is a critical component of intelligent coal mining systems.Previous approaches have primarily utilized convolutional neural networks(CNNs)to effectively integrate spatial and semantic information.However,the performance of CNN-based methods remains limited in classification accuracy,primarily due to insufficient exploration of local image characteristics.Unlike CNNs,Vision Transformer(ViT)captures discriminative features by modeling relationships between local image patches.However,such methods typically require a large number of training samples to perform effectively.In the context of foreign body classification on coal conveyor belts,the limited availability of training samples hinders the full exploitation of Vision Transformer’s(ViT)capabilities.To address this issue,we propose an efficient approach,termed Key Part-level Attention Vision Transformer(KPA-ViT),which incorporates key local information into the transformer architecture to enrich the training information.It comprises three main components:a key-point detection module,a key local mining module,and an attention module.To extract key local regions,a key-point detection strategy is first employed to identify the positions of key points.Subsequently,the key local mining module extracts the relevant local features based on these detected points.Finally,an attention module composed of self-attention and cross-attention blocks is introduced to integrate global and key part-level information,thereby enhancing the model’s ability to learn discriminative features.Compared to recent transformer-based frameworks—such as ViT,Swin-Transformer,and EfficientViT—the proposed KPA-ViT achieves performance improvements of 9.3%,6.6%,and 2.8%,respectively,on the CUMT-BelT dataset,demonstrating its effectiveness.展开更多
A short review for the existing various driving methods for belt conveyor was given, which include the analysis and comparison about the advantages, disadvantages and suitable application range of these methods. Based...A short review for the existing various driving methods for belt conveyor was given, which include the analysis and comparison about the advantages, disadvantages and suitable application range of these methods. Based on this the vari-able-frequency-control(VFC) method for belt conveyor drive was fully discussed with focus on its application in medium-high voltage range. The principle of Neutral Point Clamped (NPC) Three-Level Inverter using high-voltage IGBTs together with the control strategy of rotor field-oriented vector control for induction motor drive were illustrated.展开更多
Based on the real time measurement of the width of coal flow, the method for measuring the width and the relative position of coal flow on a conveyor-belt by image processing was presented. A feeding control system of...Based on the real time measurement of the width of coal flow, the method for measuring the width and the relative position of coal flow on a conveyor-belt by image processing was presented. A feeding control system of conveyor-belt was proposed using a fuzzy controller. This control system consists of CCD camera, universal image sampling system, control network and executor. The result shows that the algorithm used in the image processing is simple and efficient, and the measuring error of width is less than 4%.展开更多
Belt conveyors are prone to problems suchas conveyor belt deviation during operation.The main correction method is to adjust the angle of the roller frame,but the current adjustment is mostly manual.In order to solve ...Belt conveyors are prone to problems suchas conveyor belt deviation during operation.The main correction method is to adjust the angle of the roller frame,but the current adjustment is mostly manual.In order to solve the problem of low equipment transportation efficiency and low safety causedby conveyor belt deviation,a detection mechanism that can effectively detect conveyor belt deviation parameters is designed,and the working condition information is accurately transmitted to the PLC controller.If an abnormality is found,the designed correction device will correct the deviation,effectively ensuring the reliable and stable operation of the belt conveyor.展开更多
This review paper presents an in-depth investigation of the modeling techniques used to study conveyor belt dryers.These techniques are classified into four categories:theoretical modeling,computational fluid dynamics...This review paper presents an in-depth investigation of the modeling techniques used to study conveyor belt dryers.These techniques are classified into four categories:theoretical modeling,computational fluid dynamics(CFD),empirical,and performance under different control strategies.Within the theoretical and CFD categories,the models are further classified as transient and steady state,as well as one-dimensional,two-dimensional,and three-dimensional.The empirical approach involves conducting experimental studies to collect moisture ratio data during the drying process and comparing it with empirical models.The methods of control are divided into classical and advanced controllers,with classical controllers including proportional-integral(PI),proportional-integral-derivative(PID),and quantitative feedback theory(QFT)controllers.Advanced controllers consist of artificial intelligence-based controllers,such as artificial neural networks(ANN),adaptive neuro-fuzzy inference systems(ANFIS),nonlinear autoregressive exogenous(NARX)models,model predictive control(MPC),and soft sensors.This review elucidated the methodologies and software employed for each modeling technique,as well as their prospective utility in industrial contexts.The utilization of theoretical and CFD methodologies is advantageous in forecasting the dynamics of complex systems.Conversely,empirical techniques serve the purpose of validating theoretical models and procuring data to facilitate model refinement.Controllers play a crucial role in the optimization of the drying process and the attainment of desired outputs.展开更多
Aqueous ion storage systems have motivated great interest by virtue of low reduction,high eco-sustainability and safety.Among various cathode candidates,transition metal compounds are featured with easy dissolution in...Aqueous ion storage systems have motivated great interest by virtue of low reduction,high eco-sustainability and safety.Among various cathode candidates,transition metal compounds are featured with easy dissolution in aqueous solutions and inferior conductivity,which severely hinder their application.Herein,advantages are taken of the“conveyor effect”of conjugated polyaniline to prepare an oxygen defective tungstate-linked polyaniline(O_(d)-WOP)material with chrysanthemum-like microstructure.By virtue of the high electronic conductivity derived from conductive conjugated polyaniline skeleton,unbalanced charge distribution triggered by the defective structure,and reversibly rapid ion(de)intercalation benefited from the open framework with porous chrysanthemum-like microstructure,it delivers outstanding rate capability with a maximum specific capacity of 162.2 mAh g^(-1)and great cycle stability for storing NH_(4)^(+).Additionally,it also adopts a high reversible capacity of 140.4 mAh g^(-1)and outstanding cycling performance to store Ca^(2+).Consequently,the assembled O_(d)-WOP//PTCDI flexible aqueous ammonium ion batteries and calcium ion batteries exhibit superior capacities,energy densities and flexibilities.O_(d)-WOP achieves the NH_(4)^(+) and Ca^(2+)storage capability by interacting with them through hydrogen and ionic bonds,respectively.The deep insight from this work sheds light upon a novel strategy to excavate greater potential of transition metal compounds for aqueous ion batteries.展开更多
The oil film clutch, which is superior in speed adjustment, is capable of being used in the belt conveyor to carry out soft start operation. According to running properties of both belt conveyor and oil film clutch...The oil film clutch, which is superior in speed adjustment, is capable of being used in the belt conveyor to carry out soft start operation. According to running properties of both belt conveyor and oil film clutch, equations that are used to decide the lubricating oil flow and the number of oil films (i.e. the number of rotating and stationary plates) are deduced theoretically. Also key parameters are provided for the design of the hydraulic system. All these together provide the theoretical basis for the soft start design of the belt conveyor and references for the application of the oil film clutch in similar fields.展开更多
矿用刮板输送机刮板链的拆装存在能耗高、精度低和运行不稳定等问题,为此提出了一种融合运动学建模与多目标优化的智能化拆装系统设计方法。构建了涵盖升降、横移与旋转等动作的三自由度执行器空间模型,并引入融合了精英保留机制的第三...矿用刮板输送机刮板链的拆装存在能耗高、精度低和运行不稳定等问题,为此提出了一种融合运动学建模与多目标优化的智能化拆装系统设计方法。构建了涵盖升降、横移与旋转等动作的三自由度执行器空间模型,并引入融合了精英保留机制的第三代非支配排序遗传算法提升求解效率。为验证模型的有效性,基于两个真实的开源数据集进行了对比测试。结果表明,所提方法在任务执行效率、稳定性与能耗控制方面表现优越,任务周期控制在3.3 s以内,能耗低于16.5 kJ,振动强度保持在0.384 m/s 2以下,具有良好的工程适应性与推广价值。展开更多
文摘The key technology of semi-continuous conveyor system decides the successful using of this system. The key technology includes optimal initial building depth of this system,the crusher moving step and the layout of conveyor system are studied, and their calculating models are built up.
基金supported by the National Natural Science Foundation of China(Nos.12172248,12302022,12021002,and 12132010)the Tianjin Research Program of Application Foundation and Advanced Technology of China(No.23JCZDJC00950)。
文摘Belt conveyors are extensively utilized in mining and power industries.In a typical coal mine conveyor system,coal is transported over distances exceeding 2 km,involving more than 20000 idlers,which far exceeds a reasonable manual inspection capacity.Given that idlers typically have a lifespan of 1-2 years,there is an urgent need for a rapid,cost-effective,and intelligent safety monitoring system.However,current embedded systems face prohibitive replacement costs,while conventional monitoring technologies suffer from inefficiency at low rotational speeds and lack systematic structural optimization frameworks for diverse idler types and parameters.To address these challenges,this paper introduces an integrated,on-site detachable self-powered idler condition monitoring system(ICMS).This system combines energy harvesting based on the magnetic modulation technology with wireless condition monitoring capabilities.Specifically,it develops a data-driven model integrating convolutional neural networks(CNNs) with genetic algorithms(GAs).The conventional testing results show that the data-driven model not only significantly accelerates the parameter response time,but also achieves a prediction accuracy of 92.95%.The in-situ experiments conducted in coal mines demonstrate the system's reliability and monitoring functionality under both no-load and fullload conditions.This research provides an innovative self-powered condition monitoring solution and develops an efficient data-driven model,offering feasible online monitoring approaches for smart mine construction.
基金funded by Vale S.A.company(www.vale.com)and the Institute of Technology Vale(ITV—www.itv.org),grant number SAP 4600048682.
文摘The roller is one of the fundamental elements of ore belt conveyor systems since it supports,guides,and directs material on the belt.This component comprises a body(the external tube)that rotates around a fixed shaft supported by easels.The external tube and shaft of rollers used in ore conveyor belts are mostly made of steel,resulting in high mass,hindering maintenance and replacement.Aiming to achieve mass reduction,we conducted a structural optimization of a roller with a polymeric external tube(hereafter referred to as a polymeric roller),seeking the optimal values for two design parameters:the inner diameter of the external tube and the shaft diameter.The optimization was constrained by admissible values for maximum stress,maximum deflection and misalignment angle between the shaft and bearings.A finite element model was built in Ansys Workbench to obtain the structural response of the system.The roller considered is composed of an external tube made of high-density polyethylene(HDPE),bearing seats of polyamide 6(PA6),and a steel shaft.To characterize the polymeric materials(HDPE and PA6),stress relaxation tests were conducted,and the data on shear modulus variation over time were inserted into the model to calculate Prony series terms to account for viscoelastic effects.The roller optimization was performed using surrogate modeling based on radial basis functions,with the Globalized Bounded Nelder-Mead(GBNM)algorithm as the optimizer.Two optimization cases were conducted.In the first case,concerning the roller’s initial material settings,the designs found violated the constraints and could not reduce mass.In the second case,by using PA6 in both bearing seats and the tube,a design configuration was found that respected all constraints and reduced the roller mass by 15.5%,equivalent to 5.15 kg.This study is among the first to integrate experimentally obtained viscoelastic data into the surrogate-based optimization of polymeric rollers,combining methodological innovation with industrial relevance.
基金funded by the National Key Research and Development Program of China(grant number 2023YFC2907600)the National Natural Science Foundation of China(grant number 52504132)Tiandi Science and Technology Co.,Ltd.Science and Technology Innovation Venture Capital Special Project(grant number 2023-TD-ZD011-004).
文摘Foreign body classification on coal conveyor belts is a critical component of intelligent coal mining systems.Previous approaches have primarily utilized convolutional neural networks(CNNs)to effectively integrate spatial and semantic information.However,the performance of CNN-based methods remains limited in classification accuracy,primarily due to insufficient exploration of local image characteristics.Unlike CNNs,Vision Transformer(ViT)captures discriminative features by modeling relationships between local image patches.However,such methods typically require a large number of training samples to perform effectively.In the context of foreign body classification on coal conveyor belts,the limited availability of training samples hinders the full exploitation of Vision Transformer’s(ViT)capabilities.To address this issue,we propose an efficient approach,termed Key Part-level Attention Vision Transformer(KPA-ViT),which incorporates key local information into the transformer architecture to enrich the training information.It comprises three main components:a key-point detection module,a key local mining module,and an attention module.To extract key local regions,a key-point detection strategy is first employed to identify the positions of key points.Subsequently,the key local mining module extracts the relevant local features based on these detected points.Finally,an attention module composed of self-attention and cross-attention blocks is introduced to integrate global and key part-level information,thereby enhancing the model’s ability to learn discriminative features.Compared to recent transformer-based frameworks—such as ViT,Swin-Transformer,and EfficientViT—the proposed KPA-ViT achieves performance improvements of 9.3%,6.6%,and 2.8%,respectively,on the CUMT-BelT dataset,demonstrating its effectiveness.
文摘A short review for the existing various driving methods for belt conveyor was given, which include the analysis and comparison about the advantages, disadvantages and suitable application range of these methods. Based on this the vari-able-frequency-control(VFC) method for belt conveyor drive was fully discussed with focus on its application in medium-high voltage range. The principle of Neutral Point Clamped (NPC) Three-Level Inverter using high-voltage IGBTs together with the control strategy of rotor field-oriented vector control for induction motor drive were illustrated.
文摘Based on the real time measurement of the width of coal flow, the method for measuring the width and the relative position of coal flow on a conveyor-belt by image processing was presented. A feeding control system of conveyor-belt was proposed using a fuzzy controller. This control system consists of CCD camera, universal image sampling system, control network and executor. The result shows that the algorithm used in the image processing is simple and efficient, and the measuring error of width is less than 4%.
基金Yingkou Institute of Technology school-level scientificresearch project(Grant:ZDIL202302).
文摘Belt conveyors are prone to problems suchas conveyor belt deviation during operation.The main correction method is to adjust the angle of the roller frame,but the current adjustment is mostly manual.In order to solve the problem of low equipment transportation efficiency and low safety causedby conveyor belt deviation,a detection mechanism that can effectively detect conveyor belt deviation parameters is designed,and the working condition information is accurately transmitted to the PLC controller.If an abnormality is found,the designed correction device will correct the deviation,effectively ensuring the reliable and stable operation of the belt conveyor.
基金supported by the AmericanUniversity in Cairo,Egypt.
文摘This review paper presents an in-depth investigation of the modeling techniques used to study conveyor belt dryers.These techniques are classified into four categories:theoretical modeling,computational fluid dynamics(CFD),empirical,and performance under different control strategies.Within the theoretical and CFD categories,the models are further classified as transient and steady state,as well as one-dimensional,two-dimensional,and three-dimensional.The empirical approach involves conducting experimental studies to collect moisture ratio data during the drying process and comparing it with empirical models.The methods of control are divided into classical and advanced controllers,with classical controllers including proportional-integral(PI),proportional-integral-derivative(PID),and quantitative feedback theory(QFT)controllers.Advanced controllers consist of artificial intelligence-based controllers,such as artificial neural networks(ANN),adaptive neuro-fuzzy inference systems(ANFIS),nonlinear autoregressive exogenous(NARX)models,model predictive control(MPC),and soft sensors.This review elucidated the methodologies and software employed for each modeling technique,as well as their prospective utility in industrial contexts.The utilization of theoretical and CFD methodologies is advantageous in forecasting the dynamics of complex systems.Conversely,empirical techniques serve the purpose of validating theoretical models and procuring data to facilitate model refinement.Controllers play a crucial role in the optimization of the drying process and the attainment of desired outputs.
基金supported by the Natural Science Foundation of Liaoning Province(2023-MS-115).
文摘Aqueous ion storage systems have motivated great interest by virtue of low reduction,high eco-sustainability and safety.Among various cathode candidates,transition metal compounds are featured with easy dissolution in aqueous solutions and inferior conductivity,which severely hinder their application.Herein,advantages are taken of the“conveyor effect”of conjugated polyaniline to prepare an oxygen defective tungstate-linked polyaniline(O_(d)-WOP)material with chrysanthemum-like microstructure.By virtue of the high electronic conductivity derived from conductive conjugated polyaniline skeleton,unbalanced charge distribution triggered by the defective structure,and reversibly rapid ion(de)intercalation benefited from the open framework with porous chrysanthemum-like microstructure,it delivers outstanding rate capability with a maximum specific capacity of 162.2 mAh g^(-1)and great cycle stability for storing NH_(4)^(+).Additionally,it also adopts a high reversible capacity of 140.4 mAh g^(-1)and outstanding cycling performance to store Ca^(2+).Consequently,the assembled O_(d)-WOP//PTCDI flexible aqueous ammonium ion batteries and calcium ion batteries exhibit superior capacities,energy densities and flexibilities.O_(d)-WOP achieves the NH_(4)^(+) and Ca^(2+)storage capability by interacting with them through hydrogen and ionic bonds,respectively.The deep insight from this work sheds light upon a novel strategy to excavate greater potential of transition metal compounds for aqueous ion batteries.
文摘The oil film clutch, which is superior in speed adjustment, is capable of being used in the belt conveyor to carry out soft start operation. According to running properties of both belt conveyor and oil film clutch, equations that are used to decide the lubricating oil flow and the number of oil films (i.e. the number of rotating and stationary plates) are deduced theoretically. Also key parameters are provided for the design of the hydraulic system. All these together provide the theoretical basis for the soft start design of the belt conveyor and references for the application of the oil film clutch in similar fields.
文摘矿用刮板输送机刮板链的拆装存在能耗高、精度低和运行不稳定等问题,为此提出了一种融合运动学建模与多目标优化的智能化拆装系统设计方法。构建了涵盖升降、横移与旋转等动作的三自由度执行器空间模型,并引入融合了精英保留机制的第三代非支配排序遗传算法提升求解效率。为验证模型的有效性,基于两个真实的开源数据集进行了对比测试。结果表明,所提方法在任务执行效率、稳定性与能耗控制方面表现优越,任务周期控制在3.3 s以内,能耗低于16.5 kJ,振动强度保持在0.384 m/s 2以下,具有良好的工程适应性与推广价值。
