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Rapid and Precise Online Surface Reconstruction Method for Digital Modeling of Bulk Material Flow
Wei Qiao;Chengcheng Hou;Xiaoyan Xiong;Huijie Dong;Yusong Pang;Junzhi Yu
IEEE Transactions on Industrial Informatics
Year: 2025 | Early Access Article |
Digital twins and visual monitoring of conveyor systems require accurate digital models of dynamic bulk material flows, but existing methods struggle to achieve both speed and precision. This study develops a rapid online method to reconstruct dynamic bulk material flows on conveyor belts. First, a standardized online reconstruction scheme using visual detection of material flow contour lines is p...Show More
A Novel Dwell Time Modification Framework for Low Spatial Frequency Errors Suppression Under Complex Task Interactions in Optical Fabrication
IEEE/ASME Transactions on Mechatronics
Year: 2025 | Early Access Article |
The manufacturing extremity and surface convergence efficiency of high-precision, large optical free-form surfaces produced through computer-controlled optical surfacing and industrial robotics face significant challenges. These challenges arise from task-related stiffness deficiencies of industrial robots and dynamic uncertainties in the tool influence function, which severely impact low spatial ...Show More
An Innovative Visual Weighing Method: Measuring Bulk Material Mass Flows via Belt Deformation Field With Deep Learning
Wei Qiao;Xiaoyan Xiong;Chen Jie;Huijie Dong;Yusong Pang;Junzhi Yu
This article presents an innovative visual method for measuring material mass online by quantified conveyor belt deformation with deep learning, which offers a noncontact and safe alternative to traditional pressure- and radioactivity-based weighing techniques. The correlation between the belt deformation and the carried material mass is further investigated through finite element simulations. The...Show More
Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control
Bin Du;Wei Xie;Yang Li;Qisong Yang;Weidong Zhang;Rudy R. Negenborn;Yusong Pang;Hongtian Chen
Multiagent reinforcement learning (RL) training is usually difficult and time-consuming due to mutual interference among agents. Safety concerns make an already difficult training process even harder. This study proposes a safe adaptive policy transfer RL approach for multiagent cooperative control. Specifically, a pioneer and follower off-policy policy transfer learning (PFOPT) method is presente...Show More
A Novel Deep Learning-Based Spatio-Temporal Model for Prediction of Pose Residual Errors in Optical Processing Hybrid Robot
The accuracy of high-precision optical processing robots is influenced by various factors, including static error factors and dynamic error factors. These factors pose significant challenges to the deterministic processing of precision optics. This article proposes a pose residual prediction model for optical processing hybrid robots based on deep spatio-temporal graph convolutional neural network...Show More
Multi-Source Domain Adaptation Method of Mill Load Based on Common and Special Characteristics
2023 42nd Chinese Control Conference (CCC)
Year: 2023 | Conference Paper |
In the grinding industry, accurate prediction of the mill load is the key to increasing mill income and reducing mill failure. It is difficult to improve the prediction accuracy of the model due to insufficient information on single-source domain data and distribution differences among different data. A multi-source domain unsupervised domain adaptation method based on common and special features ...Show More
Coordination and Optimization Control Framework for Vessels Platooning in Inland Waterborne Transportation System
Wei Tao;Man Zhu;Shengyong Chen;Xu Cheng;Yuanqiao Wen;Weidong Zhang;Rudy R. Negenborn;Yusong Pang
Vessels sailing in a single platoon could reduce resistance from the perspective of the whole platoon and the individual vessel, and contribute to improving energy benefits. Moreover, transportation energy costs and traffic efficiency are essential indicators for measuring waterborne transportation systems. We attempt to minimize transportation energy costs by coordinating platoon formation using ...Show More
Flexible Collision-free Platooning Method for Unmanned Surface Vehicle with Experimental Validations
Bin Du;Bin Lin;Wei Xie;Weidong Zhang;Rudy R. Negenborn;Yusong Pang
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
This paper addresses the flexible formation problem for unmanned surface vehicles in the presence of obstacles. Building upon the leader-follower formation scheme, a hybrid line-of-sight based flexible platooning method is proposed for follower vehicle to keep tracking the leader ship. A fusion artificial potential field collision avoidance approach is tailored to generate optimal collision-free t...Show More
Belt conveyor is considered as a momentous component of modern coal mining transportation system, and thus it is an essential task to diagnose and monitor the damage of belt in real time and accurately. Based on the deep learning algorithm, this present study proposes a method of conveyor belt damage detection based on ADCN (Adaptive Deep Convolutional Network). A deep convolution network with uni...Show More
Unsupervised Feature Transfer for Batch Process Based on Geodesic Flow Kernel
2020 Chinese Control And Decision Conference (CCDC)
Year: 2020 | Conference Paper |
Cited by: Papers (3)
The problem of misalignment of the original measurement model is caused by nonlinear, time-varying characteristic of the batch process. In this paper, a method based on geodesic flow kernel (GFK) for feature transfer is proposed. By mapping data into the manifold space, the feature transfer from source domain to target domain is implemented. Distribution adaptation of real-time data and modeling d...Show More
Kalman Filter Preview Control for Energy Savings of Large Scale Cascaded Belt Conveying Systems
2020 European Control Conference (ECC)
Year: 2020 | Conference Paper |
In various industry productions belt conveyors are widely used for continuous dry bulk material transport. A large scale belt conveying system is generally composed of cascaded single conveyors consuming considerable electric power. According to DIN22101 regulating the belt speed and thereby maximizing the load on the belt may lead to a certain reduction of the needed electrical drive power. To av...Show More
A Novel Defect Diagnosis Method for Kyropoulos Process-Based Sapphire Growth
Wei Zhang;Tiezhu Qiao;Yusong Pang;Yi Yang;Hong Chen;Guirong Hao
When sapphire crystal is prepared with Kyropoulos method, the necking-down growth process is a key stage. Sapphire growth defect is a big problem in this stage. However, diagnosing growth defects is subject to the interference of workers subjectivity and accuracy always goes down. To address the problem, a novel defect diagnosis method is proposed for necking-down growth process in this paper. Ind...Show More
Soft Sensor for Ball Mill Load Based on Multi-view Domain Adaptation Learning
2019 Chinese Control And Decision Conference (CCDC)
Year: 2019 | Conference Paper |
In the operation process of wet ball mill, there are often multi-modal and multi-condition problems. In this paper, a multi-view based domain adaptive extreme learning machine (MVDAELM) was used to measure the mill load. Firstly, the correlation relationship between the load parameters and the two views (vibration and acoustic signals of the ball mill) was obtained by Canonical Correlation Analysi...Show More
Time series forecasting based on deep extreme learning machine
2017 29th Chinese Control And Decision Conference (CCDC)
Year: 2017 | Conference Paper |
Cited by: Papers (6)
Multi-layer Artificial Neural Networks (ANN) has caught widespread attention as a new method for time series forecasting due to the ability of approximating any nonlinear function. In this paper, a new local time series prediction model is established with the nearest neighbor domain theory, in which the hybrid Euclidean distance is used as the similarity measurement between two sets of time serie...Show More
Determining stress cycles for belt conveyor speed control in transient operations
2016 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
Belt conveyors are important equipment for large-scale bulk material transport and logistic distribution in very wide industry fields. In line with the variance of material loading degree, belt conveyor speed control has been proved as an effective way to reduce power consumption and to improve the service of the equipment with respect to system lifetime and maintenance. Since discrete control is ...Show More
Similarity measurement based on cloud models for time series prediction
2016 Chinese Control and Decision Conference (CCDC)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
Time series prediction has been extensively used for decision-making in many areas such as economics, engineering and medicine. And the useful data can be excavated by similarity measure of time series from a mass of historical data for predicting. The collected data from the real world is often uncertain, and the cloud model can be a good solution for the problem of uncertainty. This paper propos...Show More
Agent-based negotiation and decision-making for efficient hinterland transport plan
2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
The logistics and transport operations, which have become more information intensive and more technologically dependent, are undergoing dramatic revolutions. Among various logistics activities, the role of transport is becoming more and more important. In order to provide high quality service and obtain higher return on investment, information sharing and cooperative decision making become a must ...Show More
Design of electronic commerce infrastructure for cross-border postal operations
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics
Year: 2014 | Conference Paper |
In 2013, as a platform with the 22 largest postal companies in the world, the International Post Corporation has launched the e-Commerce Interconnected Programme (CIP) to setup a new cross-border electronic commerce infrastructure. The CIP aims to help international postal operators to provide more reliable services and operations with respect to more accurately and in-time tracking and tracing po...Show More
An intelligent agent-based information integrated platform for hinterland container transport
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics
Year: 2014 | Conference Paper |
Cited by: Papers (3)
Hinterland transport plays a dominant role in today's logistics chain. However, the present way of its transport planning is far from optimal. Information inaccessibility and old-fashioned communication are key issues that prevent planning reaching optimal. In addition, none contractual relationship between different stakeholders (e.g. terminal operators and barge operators) makes central planning...Show More
Design of tracing and tracking network for educational building utilization
2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC)
Year: 2013 | Conference Paper |
With respect to efficient utilization and the issues of safety and security, the users of educational buildings need to be traced and tracked. This paper studies the design of a sensing network to monitor the utilization and occupancy of a large university educational building, that contains both closed and wide open environment. After comparing different applicable technologies, RFID is selected ...Show More
Agent-based intelligent monitoring in large-scale continuous material transport
Proceedings of 2012 9th IEEE International Conference on Networking, Sensing and Control
Year: 2012 | Conference Paper |
To maintain the reliability of material transport systems, monitoring of the entire system is required to optimize maintenance and operational control strategies. Traditional monitoring mainly focuses on individual subsystems and components. Due to the high distribution and system complexity, the monitoring and control of large-scale material transport systems need to be carried out in intelligent...Show More
The application of RFID technology in large-scale dry bulk material transport system monitoring
2011 IEEE Workshop on Environmental Energy and Structural Monitoring Systems
Year: 2011 | Conference Paper |
Cited by: Papers (6)
The transport of dry bulk material is considered to be energy costly and environment impactive in industry production. Belt conveyors are widely used as an efficient mode in continuous material transport. To ensure healthy operation and to lessen environment impact, such material transport systems need to be monitored. A belt conveyor system may contain thousands of idler rolls. Any failure of the...Show More
Improving energy efficiency in material transport systems by fuzzy speed control
3rd IEEE International Symposium on Logistics and Industrial Informatics
Year: 2011 | Conference Paper |
Cited by: Papers (11)
Belt conveyors are widely applied for industrial material transport and logistics distribution. In general, belt conveyors run at nominal belt speed. The belt can be only partly filled when received material flow is smaller than the nominal conveying capacity. Researches have shown that conveyor speed control always leads to the reduction of the required electrical drive power. Current application...Show More
This paper presents the simulation and prototype of a bipolar magnet positioning system for Automated Guided Vehicles (AGV). The positioning system consists on small cylindrical magnets placed in the floor making the path for the AGV. Magnetic sensors onboard of the AGV receive binary codes from the designed magnet array to recognize its position and make decisions on what path to follow in an int...Show More
A Novel Embedded Conductive Detection System for Intelligent Conveyor Belt Monitoring
2006 IEEE International Conference on Service Operations and Logistics, and Informatics
Year: 2006 | Conference Paper |
Cited by: Papers (23)
Continuous transport systems such as belt conveyor systems are playing an important role nowadays in industrial fields of logistics, transportation, storage, etc. Condition monitoring has been an established tool and widely applied to transportation management systems. However intelligent monitoring of belt conveyor systems is still in an early stage. This paper introduces an embedded conductive d...Show More
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