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2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)最新文献

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Integration of a Production Efficiency Tool with a General Robot Task Modeling Approach 生产效率工具与通用机器人任务建模方法的集成
M. Indri, S. Trapani, A. Bonci, M. Pirani
Although an industrial robot represents a higher class of machine, it is a part of a production system. The robot, regardless of its own complexity, can be represented by a set of actions that leads itself towards the achievement of production goals. In the present paper the robot actions will be modeled as a production system in order to manage and monitoring its actions toward a production target. This will allow an easier integration of the robot within the production process, as required by the new paradigms for the factories of the future.
虽然工业机器人代表了更高级别的机器,但它是生产系统的一部分。不管机器人本身有多复杂,它都可以用一组动作来表示,这些动作引导机器人实现生产目标。在本文中,机器人的动作将被建模为一个生产系统,以便管理和监控其对生产目标的行动。这将使机器人更容易集成到生产过程中,这是未来工厂新模式所要求的。
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引用次数: 7
WIP Intelligent Sensors, Sensor Networks, and Information Processing WIP智能传感器,传感器网络和信息处理
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引用次数: 0
An Evaluation of the Applicability of OPC UA Publish Subscribe on Factory Automation use Cases OPC UA发布订阅在工厂自动化用例中的适用性评价
A. Eckhardt, Sebastian Müller, L. Leurs
In today's factory automation the exchange of data between systems becomes more and more important. The goal is to use one communication technology through all levels of a factory automation. Now the challenge is to find a communication technology that fulfills all the requirements on the different levels. The Server/Client architecture used in OPC UA became the de facto standard for several use cases in the upper levels, but in the lower levels e.g. Control-to-Control and Field level, OPC UA wasn't performant enough to replace today's fieldbus technologies. Therefore the OPC Foundation extended OPC UA by a Publish Subscribe architecture which was released in March 2018 in the OPC UA Specification Part 14. This paper gives an overview of this specification and an evaluation of the applicability of OPC UA communication technologies in combination with Time-Sensitive Networking (TSN) on factory automation use cases.
在工厂自动化的今天,系统之间的数据交换变得越来越重要。目标是在工厂自动化的所有层面使用一种通信技术。现在的挑战是找到一种能够满足不同层次上所有要求的通信技术。OPC UA中使用的服务器/客户端体系结构在上层成为了几个用例的事实上的标准,但在较低的层次,例如控制到控制和现场级,OPC UA的性能不足以取代今天的现场总线技术。因此,OPC基金会通过发布订阅架构扩展了OPC UA,该架构于2018年3月在OPC UA规范第14部分中发布。本文概述了该规范,并评估了OPC UA通信技术与时间敏感网络(TSN)在工厂自动化用例中的适用性。
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引用次数: 35
Ontologies and Information Modelling 本体和信息建模
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引用次数: 0
Data-Driven Workflow Execution in Service Oriented IoT Architectures 面向服务的物联网架构中数据驱动的工作流执行
P. Varga, Dániel Kozma, Csaba Hegedüs
System of systems within the cyber-physical context often have a greater goal to achieve - such as a product to deliver, or a series of services to be executed. Once this greater goal is described, physical elements should execute steps leading towards that goal. They often supposed to take into account the dynamically changing environment, as well as the availability and the capabilities of the surrounding systems and their services. While the Arrowhead Framework already provides support for tackling interoperability, integrability, service discovery, security and other challenges, it does not intrinsically support the execution of such, runtime workflows. The current paper proposes a supporting system - namely: the Choreographer - to be utilized for service chaining, and workflow execution. Besides describing the main services provided by the Choreographer, the principles behind its operation we detail how its control sequences fit into the orchestration and event handling procedures of Arrowhead. Furthermore, we describe a novel, Petri Net based method to demonstrate how data-driven methodology can support parallelized service execution.
在网络物理环境中,系统的系统通常有更大的目标要实现——比如要交付的产品,或者要执行的一系列服务。一旦描述了这个更大的目标,物理元素应该执行通向该目标的步骤。他们通常应该考虑到动态变化的环境,以及周围系统及其服务的可用性和能力。虽然箭头框架已经为处理互操作性、可集成性、服务发现、安全性和其他挑战提供了支持,但它本质上并不支持这些运行时工作流的执行。本文提出了一个支持系统——即:编排器——用于服务链和工作流执行。除了描述编排器提供的主要服务和其操作背后的原则外,我们还详细介绍了它的控制序列如何适应arrow的编排和事件处理过程。此外,我们描述了一种新颖的、基于Petri网的方法来演示数据驱动的方法如何支持并行服务执行。
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引用次数: 13
Biomechanical Signal Analysis for Evaluation of Gait in Parkinson's Disease 生物力学信号分析评价帕金森病的步态
L. S. Fernández, Luite Alejandro Sanchez Perez, José Juan Carbajal Hernández, Gabriel de J. Rodriguez Jordan
The biomechanical signals acquisition through wireless sensor networks and the information processing for healthcare in patients with Parkinson's disease (PD) have an important challenge. As well as other biomechanical signs, patients with PD usually present slow movements, difficult to initiate, vary or interrupt which reflect in gait alterations. The patient should walk at least 10 meters, then turn around and return to the starting point. These movement requirements can affect the wireless communication quality. Currently there are many scales for the assessment of patients with PD, but in recent research, the scale “Movement Disorder Society - Unified Parkinson's Disease-Rating Rating Scale” (MDS-UPDRS) has gained great notoriety. However, evaluation is in a subjective way and depends a lot on the patient's momentary status and the results shown are qualitative only, and the subtle differences not detected. This paper presents results with wireless sensors networks Bluetooth and XBee, respectively, as well as the first stage of a diffuse model to analyse, evaluate and classify the gait according to the parameters established by the MDS-UPDRS, with multi-axial signals from inertial measurement units. The model presented good results for evaluation and classification, always backed-up by the help of medical experts.
无线传感器网络的生物力学信号采集和信息处理对帕金森病患者的医疗保健具有重要的挑战。与其他生物力学体征一样,PD患者通常表现为动作缓慢、难以启动、变化或中断,这反映在步态改变上。患者应步行至少10米,然后转身返回起点。这些移动要求会影响无线通信的质量。目前PD患者的评估量表有很多,但在最近的研究中,“运动障碍学会-统一帕金森病评定评定量表”(MDS-UPDRS)获得了极大的声誉。然而,评估是一种主观的方式,很大程度上取决于患者的瞬间状态,所显示的结果只是定性的,没有发现细微的差异。本文分别介绍了蓝牙和XBee无线传感器网络的结果,以及根据MDS-UPDRS建立的参数,利用来自惯性测量单元的多轴信号,对步态进行分析、评估和分类的扩散模型的第一阶段。该模型具有良好的评价和分类效果,并得到了医学专家的支持。
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引用次数: 5
Simulation and Validation Framework for Safety-Critical Applications in System-of-Systems 系统中安全关键应用的仿真与验证框架
Ayman Murshed, M. Abuteir, R. Obermaisser
System-of-Systems (SoS) consist of the complex interconnection of large numbers of networked embedded systems that are characterized by operational and managerial independence of constituent systems, geographical separation, and emergent behavior in a constantly changing environment. The support for real-time communication is of crucial importance for many application areas such as medical, business, and military systems. The scheduling for such complex systems requires corresponding algorithms with additional requirements compared to classic monolithic systems. In this paper, two-level scheduling is assumed to deal with the SoS complexity where the first level is mapping application subsystems to constituent systems and the second level is mapping the application subsystem jobs in each constituent system to the local computational and communication resources to deal with the managerial independence of the SoS. This paper introduces a simulation framework for SoS that supports high-level scheduling as well as low-level scheduling for each constituent system. The proposed framework is built using the OPNET simulator with Time-Triggered Ethernet (TTEth-ernet) simulation models while the scheduling problem for the constituent systems is solved using IBM CPLEX.
系统的系统(SoS)由大量网络嵌入式系统的复杂互连组成,其特点是组成系统的操作和管理独立,地理分离,以及在不断变化的环境中的紧急行为。对实时通信的支持对于医疗、商业和军事系统等许多应用领域至关重要。与传统的单片系统相比,这种复杂系统的调度需要相应的算法和额外的要求。本文采用两级调度的方法来解决系统的复杂性问题,第一级调度是将应用子系统映射到组成系统,第二级调度是将每个组成系统中的应用子系统作业映射到本地的计算和通信资源,以解决系统的管理独立性问题。本文介绍了一个SoS仿真框架,该框架支持每个组成系统的高级调度和低级调度。该框架采用OPNET模拟器和时间触发以太网(TTEth-ernet)仿真模型构建,组成系统的调度问题采用IBM CPLEX解决。
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引用次数: 1
P&P - Standard architecture to enable fast software prototyping for robot arms P&P -实现机器人手臂快速软件原型的标准体系结构
M. Indri, Fiorella Sibona, L. Russo
Fast prototyping, in combination with Open Source resources, has a key role in the present technological evolution. In this work, an Open Source ROS-based architecture for Fast Software Prototyping for robot arms is proposed, based on Docker containers as a porting tool. This new architecture, called P&P (Plug and Prototype), has been integrated with an Open Source 3D-printed robot arm, to validate its ease of integration and use, also for less expert users. The P&P design is introduced and proposed as a standard for robot arms applications development, thanks to its modular and easily extensible structure.
与开源资源相结合的快速原型在当前的技术发展中发挥着关键作用。在这项工作中,基于Docker容器作为移植工具,提出了一种基于ros的机器人手臂快速软件原型的开源架构。这种名为P&P (Plug and Prototype)的新架构与开源3d打印机械臂集成在一起,以验证其易于集成和使用,也适用于不太专业的用户。由于其模块化和易于扩展的结构,介绍并提出了P&P设计作为机器人手臂应用开发的标准。
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引用次数: 1
WIP Industrial Communication Technologies and Systems 工业通信技术与系统
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引用次数: 0
Network Formation for Industrial IoT: Evaluation, Limits and Recommendations 工业物联网的网络形成:评估、限制和建议
D. Fanucchi, B. Staehle, R. Knorr
An open standardized protocol stack proposed by IETF is nowadays emerging in industrial wireless communication. Main building blocks are TSCH at MAC layer and RPL as routing protocol. This standard architecture is able to replace proprietary technology and to guarantee a timely, reliable and energy efficient communication. However, IETF can not offer a one-size-fits-all solution. Therefore, implementers of industrial IoT have to correctly set the parameters of the protocols in this stack, adapting it to the application requirements and on the physical topology. This paper focuses on the network formation procedure proposed by IETF 6TiSCH working group, a mandatory phase before nodes may transmit any sensed data. We evaluate through simulations the impact of TSCH- and RPL-parameters on the duration of and the energy consumed for the network formation process. We describe how to avoid an unsuccessful network formation and we give guidelines for an appropriate parameter setting, depending on typical network topologies.
IETF提出的一种开放的标准化协议栈正在工业无线通信中兴起。主要的构建模块是MAC层的TSCH和路由协议RPL。该标准体系结构能够取代专有技术,保证通信的及时、可靠和节能。然而,IETF不能提供一种通用的解决方案。因此,工业物联网的实施者必须正确设置该堆栈中的协议参数,使其适应应用需求和物理拓扑。本文重点介绍IETF 6TiSCH工作组提出的网络形成过程,即节点可以传输任何感知数据之前的强制阶段。我们通过模拟评估了TSCH-和rpl -参数对网络形成过程持续时间和能量消耗的影响。我们描述了如何避免不成功的网络形成,并根据典型的网络拓扑给出了适当的参数设置指南。
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引用次数: 9
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2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)
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