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2020 IEEE 18th International Conference on Industrial Informatics (INDIN)最新文献

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Fault-Tolerance in Cyber-Physical Systems: Literature Review and Challenges 网络物理系统中的容错:文献回顾与挑战
Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442209
Luis Piardi, P. Leitão, A. Oliveira
Modern industry demands techniques that ensure the operability of its processes, and even though the exponential technological advance in the last two decades in the manufacturing field, failures, waste, and unexpected interruptions are still present in this sector's daily routine. Within the Industry 4.0 context, fault-tolerant (FT) production systems remain a complex issue and sometimes represent a vulnerable aspect. Fault-tolerance techniques dedicated to autonomous and distributed systems, in a cyber-physical system (CPS) perspective, need to be investigated to follow the evolutionary pace of the manufacturing scenarios. This paper overviews these concepts and analyses the current situation in developing FT for CPS systems through a systematic literature review. The paper also discusses the research challenges in this new kind of FT systems due to new distributed architectures and emerging technologies, matching the several fault- tolerance phases.
现代工业需要确保其流程可操作性的技术,尽管在过去二十年中制造领域的技术取得了指数级的进步,但故障、浪费和意外中断仍然存在于该部门的日常工作中。在工业4.0环境中,容错(FT)生产系统仍然是一个复杂的问题,有时代表着一个脆弱的方面。从网络物理系统(CPS)的角度来看,需要研究专用于自治和分布式系统的容错技术,以跟上制造场景的发展步伐。本文概述了这些概念,并通过系统的文献综述分析了CPS系统中FT的发展现状。本文还讨论了由于新的分布式体系结构和新兴技术,匹配了几个容错阶段,这种新型FT系统的研究面临的挑战。
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引用次数: 3
Safety and Security in Industrial Applications 工业应用中的安全和安保
Pub Date : 2020-07-20 DOI: 10.1109/indin45582.2020.9442072
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引用次数: 0
Data page classification in holographic memory using binary neural network 基于二元神经网络的全息存储器数据页分类
Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442176
T. Shimobaba, Yota Yamamoto, I. Hoshi, T. Kakue, T. Ito
This study investigates the performance of a binary neural network, which is a lightweight neural network, for classification problems in holographic applications. We performed data classification in holographic memory using XNOR-Net as one of the binary neural networks. We compared the performance of the binary neural network with convolutional neural networks.
本文研究了一种轻量级神经网络——二元神经网络在全息应用分类问题中的性能。我们使用XNOR-Net作为二值神经网络之一在全息存储器中进行数据分类。我们比较了二元神经网络和卷积神经网络的性能。
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引用次数: 0
Diagnosis, Prognosis and Resilient Control for Industrial Systems 工业系统的诊断、预测与弹性控制
Pub Date : 2020-07-20 DOI: 10.1109/indin45582.2020.9442173
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引用次数: 0
Low-Cost Topology Control for Data Collecting in Duty-Cycle Wireless Sensor Networks 占空比无线传感器网络数据采集的低成本拓扑控制
Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442171
Mengmeng Xu, Hai Zhu, Juanjuan Wang, Hengzhou Xu, Chenghang Li
Data collection is an essential operation in wireless sensor networks (WSNs). Topology control and duty-cycle are two popular schemes in WSNs to improve the utilization of various network resource. The problem of low-cost topology control in duty-cycle wireless sensor networks is investigated in this paper. Due to each sensor's awake/sleep schedule, the topological graphs in duty-cycle WSNs are changed over time. A space-time graph model is presented to describe the dynamics of a series of topological graphs. The new topology control problem in a spacetime graph is defined, and then two heuristic algorithms are proposed to find the low-cost topological structures, in which the connectivity from each sensor to the sink is maintained. Simulations validate the effectiveness of the proposed algorithms.
数据采集是无线传感器网络(WSNs)的一项重要工作。为了提高各种网络资源的利用率,拓扑控制和占空比是无线传感器网络中常用的两种方案。研究了占空比无线传感器网络的低成本拓扑控制问题。由于每个传感器的唤醒/睡眠时间,占空比无线传感器网络的拓扑图会随着时间的变化而变化。提出了一种时空图模型来描述一系列拓扑图的动力学。在定义了新的时空图拓扑控制问题的基础上,提出了两种启发式算法来寻找低成本的拓扑结构,其中每个传感器与接收器之间保持连通性。仿真结果验证了算法的有效性。
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引用次数: 4
Analysis and Matching of Electric Vehicle Dynamic Performance Based on CRUISE 基于CRUISE的电动汽车动态性能分析与匹配
Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442149
Fanbiao Bao, B. Huang, Xinfeng Zou, C. Lai
According to the requirements of the vehicle parameters and vehicle performance parameters in the early stage of vehicle design, this paper analyzes and matches the performance of pure electric vehicle motors, power batteries, and vehicle transmission ratio parameters, and uses AVL-Cruise software to analyze the vehicle motors and energy batteries Model the entire vehicle with the drive train, select the powertrain parameters initially, and use AVL-Cruise software for calculation and verification. Combined with the analysis and verification of partial performance of the electric vehicle on the road, compare the simulation data with the road of the actual vehicle. The results obtained from the test data basically agree with each other to verify the rationality of the matching of vehicle dynamics and economic parameters based on AVL-Cruise and the accuracy of the modeling analysis.
本文根据整车设计初期对整车参数和整车性能参数的要求,对纯电动汽车电机、动力电池的性能和整车传动比参数进行分析匹配,并利用AVL-Cruise软件对整车电机和能量电池进行分析,用传动系对整车进行建模,初步选择动力系参数;并使用AVL-Cruise软件进行计算验证。结合对电动汽车部分路面性能的分析与验证,将仿真数据与实际车辆的路面情况进行对比。试验数据得出的结果基本吻合,验证了基于AVL-Cruise的车辆动力学参数与经济性参数匹配的合理性和建模分析的准确性。
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引用次数: 0
Development of a Novel Lower Limb Rehabilitation robot in the Bed 一种新型卧床下肢康复机器人的研制
Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442221
Mengtian Hu, Yu Tian, Tao Liu, Meimei Han
This paper presents the mechanism design and coordination control strategy of a lower limb rehabilitation robot in the bed, which may be helpful for improving the rehabilitation quality of patients with limb injuries when staying on the bad. It not only has a variety of rehabilitation training mode, but also has an adjustable structure and simple operation. It is more adaptable and friendly to patients in different circumstances. We conducted in-depth research on the configuration design, human kinematics analysis and man-machine coordination control of the horizontal lower limb rehabilitation robot. A prototype experimental platform developed to validate the effectiveness of the proposed control method. The result shows that the rehabilitation robot can meet the training needs of patients with different posture and injury degree in various stage of rehabilitation.
提出了一种卧床下肢康复机器人的机构设计和协调控制策略,有助于提高肢体损伤患者卧床时的康复质量。它不仅具有多种康复训练模式,而且结构可调,操作简单。它对不同情况下的患者更具有适应性和友好性。对卧式下肢康复机器人的构型设计、人体运动学分析和人机协调控制进行了深入的研究。为了验证所提出的控制方法的有效性,建立了一个原型实验平台。结果表明,该康复机器人能够满足不同姿态、不同损伤程度患者在康复各个阶段的训练需求。
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引用次数: 0
An Automatic Software Behavior Model Generation Method for Industrial Cyber-Physical System 工业信息物理系统软件行为模型自动生成方法
Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442085
Weiqi Sun, W. Dai
Industrial Cyber-Physical Systems require more flexibility and resilience to meet the requirement of flexible manufacturing. Model-driven engineering methods are often linked with the development and deployment of distributed automation systems. However, most legacy systems currently do not have a system-level model or even source code, which hinders the maintenance of future-proof systems. With a huge amount of operation data collected by acquisition processes in the existing industrial systems, the system behavior model can be recovered but in an effective way. This paper proposes an automatic software behavior model recovery method based on data mining from industrial controllers. This method can recover and optimize the system models based on the state machines and largely reduce the computing power required for generating a system behavior state machine model. Finally, the proposed method was verified by the FSM model inferring and code generation using a color sorter example.
工业信息物理系统需要更大的灵活性和弹性来满足柔性制造的要求。模型驱动的工程方法经常与分布式自动化系统的开发和部署联系在一起。然而,大多数遗留系统目前没有系统级模型,甚至没有源代码,这阻碍了对未来系统的维护。在现有工业系统中,由于采集过程收集了大量的运行数据,系统行为模型可以被恢复,而且是一种有效的方法。提出了一种基于工业控制器数据挖掘的软件行为模型自动恢复方法。该方法可以基于状态机对系统模型进行恢复和优化,大大降低了生成系统行为状态机模型所需的计算能力。最后,以颜色分类器为例,通过FSM模型推理和代码生成对所提方法进行了验证。
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引用次数: 0
SensingCommunicationControl Orchestrated Technologies for Industrial CyberPhysical Systems 工业信息物理系统的传感通信控制协调技术
Pub Date : 2020-07-20 DOI: 10.1109/indin45582.2020.9442073
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引用次数: 0
Artificial Intelligence in Industrial Applications 工业应用中的人工智能
Pub Date : 2020-07-20 DOI: 10.1109/indin45582.2020.9442137
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引用次数: 4
期刊
2020 IEEE 18th International Conference on Industrial Informatics (INDIN)
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