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2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)最新文献

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Real-Time Performance Analysis of Batch-Based Serial Flexible Production Lines With Geometric Machines 几何机床批量柔性生产线的实时性能分析
Pub Date : 2019-08-01 DOI: 10.1109/COASE.2019.8843192
Jingchuan Chen, Zhiyang Jia, Yaping Dai
Owing to the environment of current intelligent manufacturing strategies (e.g., “Industry 4.0”, “Advanced Manufacturing Partnership 2.0”, and “Made in China 2025 flexible production is becoming prevalent in modern production systems. Compared to mass production systems, flexible production systems have relatively received less research attention. On the other hand, in flexible production environments, to fabricate the products of multiple types, there sometimes exists a transition to adjust and set up system configuration when the type of processed products is changed. Production runs are separated by the transitions. As a result, batch-based production is widely used in flexible production systems. In this paper, under the framework of batch-based serial flexible production lines with finite buffers and machines obeying the geometric reliability model, we study the problem of real-time performance analysis of such systems. Specifically, for oneand two-machine lines, we study the mathematical model. Exact Markovian analysis is used to derive the closed-form formula for calculating the real-time performances measures, i.e., production rates, consumption rates, work-in-process. Moreover, the distribution, the mean, and the standard deviation of completion time are studied. For longer lines, the preliminary results based on the Monte Carlo simulation are presented.
在当前智能制造战略(如“工业4.0”、“先进制造伙伴关系2.0”、“中国制造2025”)的大环境下,柔性生产在现代生产系统中越来越普遍。与大规模生产系统相比,柔性生产系统受到的研究相对较少。另一方面,在灵活的生产环境中,为了制造多类型的产品,当加工产品的类型发生变化时,有时会存在调整和设置系统配置的过渡。生产运行由转换分开。因此,批量生产在柔性生产系统中得到了广泛的应用。本文在有限缓冲、机器服从几何可靠性模型的批量柔性生产线框架下,研究了这类系统的实时性能分析问题。具体来说,我们研究了单机生产线和双机生产线的数学模型。采用精确马尔可夫分析推导出计算实时性能指标的封闭公式,即生产率、消耗率、在制品。此外,还研究了完工时间的分布、均值和标准差。对于较长的线路,给出了基于蒙特卡罗模拟的初步结果。
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引用次数: 1
Learning Deep Dynamical Models of a Waste Incineration Plant from In-furnace Images and Process Data 从炉内图像和过程数据学习垃圾焚烧厂的深度动态模型
Pub Date : 2019-08-01 DOI: 10.1109/COASE.2019.8842972
T. Kaneko, Yoshihisa Tsurumine, James Poon, Y. Onuki, Yingda Dai, Kaoru Kawabata, Takamitsu Matsubara
This paper presents an approach for predicting in-furnace images and sensor signal readings for a waste incineration plant, utilizing a deep dynamical model based on Kalman Variational Auto-Encoders that considers a range of process signals, control inputs, and time-series sequences of infurnace image data. This is motivated by the need for automatic control systems to be able to anticipate abnormalities in incoming waste to prevent potential instabilities during and after combustion. Experimental results with real plant data show that the proposed strategy provides an improved prediction accuracy for both process signals and in-furnace images compared to a Long Short-Term Memory neural network.
本文提出了一种预测垃圾焚烧厂炉内图像和传感器信号读数的方法,利用基于卡尔曼变分自编码器的深度动态模型,该模型考虑了一系列过程信号、控制输入和炉内图像数据的时间序列序列。这是由于需要自动控制系统能够预测进入废物的异常情况,以防止燃烧期间和燃烧后的潜在不稳定。实验结果表明,与长短期记忆神经网络相比,该方法对过程信号和炉内图像的预测精度都有提高。
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引用次数: 3
Tool-center-point control of a flexible link concrete pump with hydraulic limitations using quadratic programming 基于二次规划的液压限制柔性连杆混凝土泵工具中心点控制
Pub Date : 2019-08-01 DOI: 10.1109/COASE.2019.8842831
Julian Wanner, O. Sawodny
Tool-center-point control allows efficient and intuitive operation of a mobile concrete pump at task space level. Besides controlling the end-effector, numerous additional requirements and constraints act on the control system. The deformation of the flexible manipulator and volumetric flow rate constraints in the hydraulic actuation system effect the operation of the tool-center-point control. In this paper a deformation compensation and a volumetric flow rate constraint for a kinematic, constrained quadratic optimization (cQP) based tool-center point control is presented. The methods are validated by simulation for a flexible five-link concrete pump.
工具中心点控制允许在任务空间级别上高效和直观地操作移动混凝土泵。除了控制末端执行器外,还有许多附加要求和约束作用于控制系统。液压驱动系统中柔性机械手的变形和体积流量约束影响着刀具中心点控制的运行。提出了一种基于运动学约束二次优化(cQP)的刀具中心点控制的变形补偿和体积流量约束。通过柔性五连杆混凝土泵的仿真验证了上述方法的有效性。
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引用次数: 9
The Analysis of Haze Effect on Dense Semantic Mapping 密集语义映射中的雾霾效应分析
Pub Date : 2019-08-01 DOI: 10.1109/COASE.2019.8843017
Hongyu Xie, Qing Xiao, Dong Zhang, Zhengcai Cao
This paper addresses the issue of dense semantic mapping in hazy scenes. In the past few decades, extensive research has been performed on semantic mapping in clear scenes. However, there was little attention on dense semantic mapping in hazy environments. In this paper, we try to solve this problem. Towards this aim, we introduce a hazy dataset which is built on the TUM dataset. In order to explore the haze effect on dense semantic mapping, we have performed a lot of experiments and evaluated several state-of-the-art dehazing methods. In addition, we adopt a convolutional neural network (CNN) for image preprocessing to improve the robustness of robot localization and mapping in hazy scenes. The experimental results show that a good dehazing method can effectively reduce the tracking failure of simultaneous localization and mapping (SLAM) in hazy scenes and benefit semantic understanding.
本文研究了模糊场景下的密集语义映射问题。在过去的几十年里,人们对清晰场景下的语义映射进行了大量的研究。然而,模糊环境下密集语义映射的研究却鲜有人关注。本文试图解决这一问题。为此,我们引入了一个基于TUM数据集的模糊数据集。为了探索雾霾对密集语义映射的影响,我们进行了大量的实验并评估了几种最先进的除雾方法。此外,我们采用卷积神经网络(CNN)进行图像预处理,以提高机器人在朦胧场景下定位和映射的鲁棒性。实验结果表明,良好的消雾方法可以有效降低模糊场景下同步定位与映射(SLAM)的跟踪失败,有利于语义理解。
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引用次数: 0
Research on the development approach of regional manufacturing industry in Internet+era* 互联网+时代区域制造业发展路径研究*
Pub Date : 2019-08-01 DOI: 10.1109/COASE.2019.8843112
Zhengxuan Jia, Yingying Xiao, Guoqiang Shi, Mei Wang, Tingyu Lin, Z. Shen
Taking Internet as carrier and adopting emerging information and communication technology, intelligent science which exerts dramatic influence on the development approach of regional manufacturing industry. In this paper, the development approach of regional manufacturing industry in driving forces of the transformation and upgrading of Smart Cloud Manufacturing (CMfg) platform and the influence of Smart CMfg platform on collaboration among manufacturing enterprises. Through complex network theory based analysis on that individual manufacturing enterprises should actively conduct technological, business model, and management innovation, and comply with the guidance policies proposed by local government to accomplish the upgrading of both individual enterprises and regional manufacturing industry has been concluded.
以互联网为载体,采用新兴的信息通信技术,智能科学对区域制造业的发展方式产生了巨大的影响。本文研究了区域制造业在智能云制造(CMfg)平台转型升级驱动力中的发展路径,以及智能云制造平台对制造企业协同的影响。通过基于复杂网络理论的分析,得出了个体制造企业应积极进行技术创新、商业模式创新和管理创新,并遵循地方政府提出的引导政策,实现个体企业和区域制造业的双重升级。
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引用次数: 1
On Sufficient Numbers of Fingers to Immobilize 3D Chains of Polyhedra 用足够数量的手指固定多面体的三维链
Pub Date : 2019-08-01 DOI: 10.1109/COASE.2019.8843159
A.F. van der Stappen, Mansoor Davoodi Monfared
We study the problem of bounding the number of fingers that suffice to immobilize a serial chain of n polyhedra ($mathcal{P}_{1}, ldots, mathcal{P}_{n}$), in which each pair of consecutive polyhedra $mathcal{P}_{i}$ and $mathcal{P}_{i+1}$ (for 1 $leq$ i < n) in the chain shares exactly one vertex $rho_{i}$. This vertex $rho_{i}$ serves as a rotational joint, or hinge. We consider hinges $rho_{i}$ with one degree of freedom, allowing for rotation of both incident subchains about a rotation axis $ell_{i}$ through $rho_{i}$, and with three degrees of freedom, allowing for free rotation of the incident subchains about $rho_{i}$ itself. Besides immobility, we also study robust immobility [1] which additionally requires that sufficiently small perturbations of fingers along their respective facets do not destroy the immobility. Our paper provides the first bounds on the number offingers that suffice to immobilize three-dimensional articulated structures in any given configuration. The bounds are constructive in the sense that we point out how many fingers should be placed on each of the polyhedra in the chain. In the case of hinges with one degree of freedom, we show that 2 n+5 fingers suffice to immobilize a chain of arbitrary polyhedra robustly. If all polyhedra are convex and each axis $ell_{i}$ intersects the adjacent polyhedron $mathcal{P}_{i+1}$ then only at most n+6 fingers suffice to immobilize the chain. In the case of hinges with three degree of freedom, we obtain bounds for arbitrary polyhedra and for irregular polyhedra, which satisfy the condition that the normals to any three different facets are linearly independent. We find that 4 n+5 fingers suffice to immobilize a chain of arbitrary polyhedra robustly. We also show that 3 n+1 fingers suffice to immobilize the chain if the polyhedra are irregular. If, in addition, all polyhedra are convex and no two hinges belong to a single facet of a polyhedron then only $displaystyle lfloorfrac{5}{2}n+2rfloor$ fingers suffice.
我们研究了限定手指数量的问题,这些手指数量足以固定由n个多面体组成的连续链($mathcal{P}_{1}, ldots, mathcal{P}_{n}$),其中链中的每对连续多面体$mathcal{P}_{i}$和$mathcal{P}_{i+1}$(对于1 $leq$ i < n)恰好共享一个顶点$rho_{i}$。这个顶点$rho_{i}$用作旋转关节或铰链。我们考虑铰链$rho_{i}$具有一个自由度,允许两个事件子链围绕一个旋转轴$ell_{i}$到$rho_{i}$旋转,并且具有三个自由度,允许事件子链围绕$rho_{i}$本身自由旋转。除了不动性,我们还研究了鲁棒不动性[1],这还要求手指沿其各自的面有足够小的扰动不会破坏不动性。我们的论文提供了在任何给定构型中足以固定三维关节结构的手指数的第一个界限。边界是建设性的,因为我们指出了在链上的每个多面体上应该放置多少个手指。在一自由度铰链的情况下,我们证明了2n +5个手指足以稳健性固定任意多面体链。如果所有多面体都是凸的,并且每个轴$ell_{i}$与相邻的多面体$mathcal{P}_{i+1}$相交,那么最多只需要n+6个手指就足以固定链条。在三自由度铰链的情况下,我们得到了任意多面体和不规则多面体的界,它们满足任意三个不同面的法线是线性无关的条件。我们发现4n +5个指足以稳健性固定任意多面体链。我们还表明,如果多面体是不规则的,3n +1个手指足以固定链。此外,如果所有多面体都是凸的,并且没有两个铰链属于多面体的单个面,那么只有$displaystyle lfloorfrac{5}{2}n+2rfloor$指就足够了。
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引用次数: 0
CASE 2019 Organizing Committee CASE 2019组委会
Pub Date : 2019-08-01 DOI: 10.1109/coase.2019.8843339
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引用次数: 0
Reliable Cooperative Charging Protocol against Fault Data for Supercapacitors Charging Systems 基于故障数据的超级电容器充电系统可靠协同充电协议
Pub Date : 2019-08-01 DOI: 10.1109/COASE.2019.8843137
Yang Miao, Jianping He, Shanying Zhu
A cooperative charging protocol for the super-capacitors on catenary-free trams is a promising method to solve the high-power-charging load. The protocol can efficiently improve the dynamic performance of the charging system by reducing the imbalances and overshoots of currents when the transfer data is highly accurate. However, it is noting that some internal circuit failures and external attacks will cause fault data, which is inevitable in the charging system. The fault data may reduce or even break the reliability of the system under the cooperative charging protocol. In this paper, we investigate the causes of fault data and what effects it may bring to the system with cooperative charging protocol. To solve the problem, we propose a reliable cooperative charging protocol with a data screening mechanism added in the existing protocol to guarantee the charging system from fault data. In addition, we show that the reliable cooperative charging protocol enhances the reliability of the charging system with fault data. Both simulations and experiments are conducted to demonstrate the effectiveness of the proposed protocol.
无接触网有轨电车超级电容器协同充电协议是解决大功率充电负载的一种很有前途的方法。该协议在传输数据精度较高的情况下,减少了电流的不平衡和超调,有效地提高了充电系统的动态性能。但值得注意的是,一些内部电路故障和外部攻击会造成故障数据,这在充电系统中是不可避免的。故障数据可能会降低甚至破坏协同计费协议下系统的可靠性。本文研究了故障数据产生的原因及其对协同计费系统的影响。为了解决这个问题,我们提出了一种可靠的协同收费协议,并在现有协议中增加了数据筛选机制,以保证收费系统不受故障数据的影响。此外,我们还证明了可靠的协同收费协议提高了故障数据收费系统的可靠性。通过仿真和实验验证了该协议的有效性。
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引用次数: 2
A Hybrid Multi-objective Algorithm for Energy-Efficient Scheduling Considering Machine Maintenance* 考虑机器维修的混合多目标节能调度算法*
Pub Date : 2019-08-01 DOI: 10.1109/COASE.2019.8843144
Junxia Xing, F. Qiao, Hong Lu
The aim of this paper is to address the energy-efficient scheduling problems in the hybrid flow shop problem (HFSP) with machine maintenance. For this aim, the mixed integer programming model (MIPM) considering energy consumption and machine maintenance is proposed firstly. Given the NP-hard nature of the model, a hybrid multi-objective algorithm (HMOA) combining an improved algorithm based on the Non-Dominated Sorting Genetic Algorithm (NSGA-II-imp) with a heuristic algorithm is developed to solve MIPM. The NSGA-II-imp designs a new elite remained strategy for the purpose of balancing two conflict objectives and a heuristic algorithm is mainly designed to add machine maintenance during production scheduling. Finally, the proposed algorithm is compared to GA, SA-GA, NSGA-II separately based on extensive numerical experiments. Results show the effectiveness of the algorithm in this paper.
本文的目的是解决带有机器维修的混合流车间问题中的节能调度问题。为此,首先提出了考虑能耗和机器维护的混合整数规划模型(MIPM)。针对模型的NP-hard特性,提出了一种基于非支配排序遗传算法(NSGA-II-imp)的改进算法与启发式算法相结合的混合多目标算法(HMOA)来求解MIPM。NSGA-II-imp设计了一种新的精英保留策略,以平衡两个冲突目标,并设计了一种启发式算法,主要用于在生产调度中添加机器维护。最后,在大量数值实验的基础上,分别与GA、SA-GA、NSGA-II算法进行了比较。实验结果表明了本文算法的有效性。
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引用次数: 6
An Intelligent Action Recognition System to assess Cognitive Behavior for Executive Function Disorder 一种评估执行功能障碍患者认知行为的智能动作识别系统
Pub Date : 2019-08-01 DOI: 10.1109/COASE.2019.8843199
Ashwin Ramesh Babu, Mohammad Zakizadeh, J. Brady, Diane Calderon, F. Makedon
This paper proposes a novel intelligent system to monitor and assess cognitive behavior through physical tasks which are part of assessment and training for people with Executive Function Disorder. The tasks are specifically designed to fit in the theory of “embodied cognition”, where cognition can be influenced through physical activities. Usually, these assessments are performed by psychologists who manually monitor and score patients which is tiresome and time consuming. The proposed system automates this process by capturing the minute movements of the subjects, analyzing and predicting the action performed by using state of the art computer vision techniques. Detailed visualization of the user’s performance can be viewed in real time through an intelligent Graphical User Interface(GUI) which also provides support for the expert to view the performance statistics remotely. Data was collected from 5 participants with two variations to quantitatively and qualitatively increase the dataset which was combined with an existing public dataset. The action recognition, which is the core of the system, was developed using multiple algorithms, with 3D Convolutional Neural Network performing the best with a maximum of 80 percent accuracy on test set.
本文提出了一种新的智能系统,通过对执行功能障碍患者进行评估和训练的物理任务来监测和评估他们的认知行为。这些任务是专门为适应“具身认知”理论而设计的,在该理论中,认知可以通过身体活动受到影响。通常,这些评估是由心理学家进行的,他们手动监测和评分患者,这是令人厌烦和耗时的。所提出的系统通过捕捉受试者的微小运动,分析和预测使用最先进的计算机视觉技术执行的动作,使这一过程自动化。可以通过智能图形用户界面(GUI)实时查看用户性能的详细可视化,该界面还为专家远程查看性能统计数据提供支持。从5个参与者中收集了两种变化的数据,以定量和定性地增加与现有公共数据集相结合的数据集。动作识别是系统的核心,使用多种算法开发,其中3D卷积神经网络在测试集上表现最好,准确率最高达80%。
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引用次数: 11
期刊
2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)
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