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

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Open Source OPC UA PubSub Over TSN for Realtime Industrial Communication 开源OPC UA公共sub在TSN上的实时工业通信
Julius Pfrommer, A. Ebner, S. Ravikumar, B. Karunakaran
OPC UA is a client-server communication protocol for industrial use cases without hard realtime requirements. The new PubSub extension of OPC UA adds the possibility of many-to-many communication based on the Publish / Subscribe paradigm. In conjunction with the upcoming Time-Sensitive Networking (TSN) extensions of Ethernet, OPC UA Pub Sub aims to also cover time-deterministic connectivity. This poses requirements to OPC UA implementations that have traditionally not been regarded. We propose an approach to combine non-realtime OPCUA servers with realtime OPC UA Pub Sub where both can access a shared information model without the loss of realtime guarantees for the publisher. As a result, the publisher can be run inside a (hardware-triggered) interrupt to ensure short delays and small jitter. An open source implementation of OPC UA Pub Sub is provided based on the open62541 SDK. This is also the basis for measurements used to evaluate the potential of the technology.
OPC UA是一种客户端-服务器通信协议,适用于没有硬性实时需求的工业用例。OPC UA的新PubSub扩展增加了基于发布/订阅范式的多对多通信的可能性。与即将到来的以太网时间敏感网络(TSN)扩展相结合,OPC UA Pub Sub旨在覆盖时间确定性连接。这对OPC UA实现提出了传统上不被重视的要求。我们提出了一种将非实时OPCUA服务器与实时OPCUA Pub Sub相结合的方法,在这种方法中,两者都可以访问共享的信息模型,而不会失去对发布者的实时性保证。因此,发布者可以在(硬件触发的)中断中运行,以确保较短的延迟和较小的抖动。基于open62541 SDK提供了OPC UA Pub Sub的开源实现。这也是用于评估该技术潜力的测量的基础。
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引用次数: 84
Industrial Control 工业控制
Behzad Samadi
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引用次数: 3
Integrating Offset in Worst Case Delay Analysis of Switched Ethernet Network With Deficit Round Robbin 基于亏缺轮询的交换以太网最坏时延分析中的积分偏移
Aakash Soni, Xiaoting Li, Jean-Luc Scharbarg, C. Fraboul
In order to handle mixed criticality flows in a realtime embedded network, switched Ethernet with Quality of Service (QoS) facilities has become a popular solution. Deficit Round Robin (DRR) is such a QoS facility. Worst-Case Traversal Time (WCTT) analysis is mandatory for such systems, in order to ensure that end-to-end delay constraints are met. Network Calculus is a classical approach to achieve this WCTT analysis. A solution has been proposed for switched Ethernet with DRR. It computes pessimistic upper bounds on end-to-end latencies. This pessimism is partly due to the fact that the scheduling of flows by end systems is not considered in the analysis. This scheduling can be modeled by offsets between flows. This modeling has been integrated in WCTT analysis of switched Ethernet with First In First Out (FIFO) scheduling. It leads to a significant reduction of delay upper bounds. The contribution of this paper is to integrate the offsets in the WCTT analysis for switched Ethernet with DRR and to evaluate the reduction on delay upper bounds, considering a realistic case study.
为了处理实时嵌入式网络中的混合临界流,具有服务质量(QoS)设施的交换以太网已成为一种流行的解决方案。亏损轮询(DRR)就是这样一种QoS设施。为了确保满足端到端延迟约束,这种系统必须进行最坏情况遍历时间(WCTT)分析。网络演算是实现这种WCTT分析的经典方法。针对具有DRR的交换以太网,提出了一种解决方案。它计算端到端延迟的悲观上界。这种悲观情绪部分是由于在分析中没有考虑终端系统的流量调度。这种调度可以通过流之间的偏移量来建模。该模型已集成到采用先进先出(FIFO)调度的交换以太网的WCTT分析中。它导致延迟上界的显著减小。本文的贡献在于将偏移量整合到具有DRR的交换以太网的WCTT分析中,并结合实际案例评估延迟上界的降低。
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引用次数: 2
Improved Domain Modeling for Realistic Automated Planning and Scheduling in Discrete Manufacturing 离散制造中面向现实自动化计划调度的改进领域建模
Antje Rogalla, A. Fay, O. Niggemann
Current production planning and scheduling systems in automation do not meet the requirements of modern individualized production. Today's, static production processes impede customized manufacturing and small-scale production. A new way of thinking towards a dynamic control is required. This paper focuses on automated integrated process planning and scheduling on control level in discrete manufacturing. Existing algorithms in artificial intelligence planning are applied to solve process planning and scheduling problems. The challenge is to model the manufacturing system and products in a way that automated planners can generate efficiently process plans and schedules. Hence, based on a general classification of operations, different modeling options with regard to a successful automated process planning and scheduling are discussed. As a result, a domain modeling approach for discrete manufacturing is presented.
现有的自动化生产计划调度系统已不能满足现代个性化生产的要求。今天,静态的生产过程阻碍了定制制造和小规模生产。需要对动态控制进行新的思考。本文主要研究离散制造中控制层面的自动化集成工艺规划与调度问题。应用人工智能规划中的现有算法来解决工艺规划和调度问题。挑战在于对制造系统和产品进行建模,使自动化计划人员能够有效地生成过程计划和时间表。因此,基于操作的一般分类,讨论了与成功的自动化过程计划和调度相关的不同建模选项。为此,提出了一种面向离散制造的领域建模方法。
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引用次数: 17
An Ensemble of fuzzy Class-Biased Networks for Product Quality Estimation 一种用于产品质量估计的模糊类偏网络集成
Shanmugasivam Pillai, Naveen John Punnoose, P. Vadakkepat, A. Loh, Kee Jin Lee
Factories are increasingly pushing towards automation and data-centric approaches under the current Industry 4.0 standards. Early-stage product quality estimation is identified as one of the solutions that can significantly reduce manufacturing cost and wastage. However, quality estimation is a classification problem that is inherently challenging for traditional data-driven algorithms due to its imbalanced nature. In this paper, a framework is proposed, that combines the feature extraction capabilities of convolutional neural networks and the domain knowledge characteristics of fuzzy systems. The proposed method addresses data imbalance using an ensemble of class-biased individuals, that learn features using a class-weighted loss function. Experiments were conducted using a benchmark dataset and production data acquired from the semiconductor industry. Improvements were noted for G-Mean and ROC-AVC values when compared to existing algorithms.
在当前的工业4.0标准下,工厂越来越多地推动自动化和以数据为中心的方法。早期产品质量评估被认为是能够显著降低制造成本和浪费的解决方案之一。然而,质量估计是一个分类问题,由于其不平衡的性质,对传统的数据驱动算法具有固有的挑战性。本文提出了一种将卷积神经网络的特征提取能力与模糊系统的领域知识特征相结合的框架。提出的方法使用类偏向个体的集合来解决数据不平衡问题,这些个体使用类加权损失函数来学习特征。实验使用基准数据集和从半导体行业获得的生产数据进行。与现有算法相比,G-Mean和ROC-AVC值得到了改进。
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引用次数: 3
Intelligent Sensors, Sensor Networks, and Information Processing 智能传感器,传感器网络和信息处理
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引用次数: 10
Control design for timed Petri nets based on LMIs and structure expansion 基于lmi和结构展开的定时Petri网控制设计
Alioune Mbaye, D. Lefebvre, F. Basile
This paper concerns the design of optimal control sequences for timed Petri nets under earliest firing policy. Optimality is defined with respect to the sequences duration. The proposed method computes the control firing sequence and its duration by solving integer linear problems constrained by a set of matrix inequalities that must be fulfilled by a sequence of elementary firing count vectors. To reduce the error that may affect the estimation of the sequence duration, an expansion of the net structure is proposed with respect to the time parameters. The estimation error is proved to be bounded depending on a granularity parameter used for expansion.
研究了最早点火策略下定时Petri网最优控制序列的设计。最优性是根据序列持续时间来定义的。该方法通过求解由一组矩阵不等式约束的整数线性问题来计算控制射击序列及其持续时间,这些问题必须由一系列初等射击计数向量来满足。为了减小影响序列持续时间估计的误差,提出了一种基于时间参数的扩展网络结构。证明了估计误差是有界的,这取决于用于扩展的粒度参数。
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引用次数: 1
Holo Pick'n'Place
Martin Rudorfer, Jan Guhl, Paul Hoffmann, J. Krüger
In this paper we contribute to the research on facilitating industrial robot programming by presenting a concept for intuitive drag and drop like programming of pick and place tasks with Augmented Reality (AR). We propose a service-oriented architecture to achieve easy exchangeability of components and scalability with respect to AR devices and robot workplaces. Our implementation uses a HoloLens and a UR5 robot, which are integrated into a framework of RESTful web services. The user can drag recognized objects and drop them at a desired position to initiate a pick and place task. Although the positioning accuracy is unsatisfactory yet, our implemented prototype achieves most of the desired advantages to proof the concept.
在本文中,我们通过提出一种直观的拖放概念,如增强现实(AR)的拾取任务编程,为促进工业机器人编程做出了贡献。我们提出了一个面向服务的体系结构,以实现组件的易于交换性和AR设备和机器人工作场所的可扩展性。我们的实现使用HoloLens和UR5机器人,它们被集成到RESTful web服务框架中。用户可以拖动已识别的对象并将其放到所需位置,以启动拾取和放置任务。虽然定位精度还不能令人满意,但我们实现的原型实现了大部分期望的优点来证明这个概念。
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引用次数: 12
Runtime Vulnerability Discovery as a Service on Industrial Internet of Things (IIoT) Systems 工业物联网(IIoT)系统的运行时漏洞发现服务
J. L. Flores, Imanol Mugarza
The IoT and IIoT paradigms are creating new business opportunities. However, high-interconnectivity among all objects introduce new security concerns and challenges. Security is not a product, but a process. Security tests and audits have to constantly be accomplished. Once a security flaw is detected, a software patch fixing the security weakness could be then produced. This continuous security evaluation, which is iterative, might be expensive. In this paper, a novel vulnerability discovery approach is presented: Hadros. The particularity of the proposed design is that security tests are distributively executed among all the deployed IoT/IIoT nodes and performed at the idle time of the system, while runtime. Hadros is suitable and advantageous for the IoT and IIoT era, due to the fact that testing coverage is broadly increased as more devices are incorporated. Meanwhile, resources employed by the security researchers are also significantly reduced.
物联网和工业物联网模式正在创造新的商业机会。然而,所有对象之间的高度互联性带来了新的安全问题和挑战。安全不是一个产品,而是一个过程。必须不断地完成安全性测试和审计。一旦检测到安全漏洞,就可以制作修复安全漏洞的软件补丁。这种持续的安全评估是迭代的,可能会很昂贵。本文提出了一种新的漏洞发现方法:Hadros。该设计的特殊性在于,安全测试在所有部署的IoT/IIoT节点之间分布式执行,并在系统空闲时间运行时执行。Hadros适用于物联网(IoT)和工业物联网(IIoT)时代,因为随着更多设备的加入,测试覆盖范围大大增加。同时,安全研究人员所使用的资源也大大减少。
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引用次数: 4
Exploiting System Model for Securing CPS: the Anomaly Based IDS Perspective 利用系统模型保护CPS:基于异常的IDS视角
Riccardo Colelli, S. Panzieri, F. Pascucci
Industrial Control systems traditionally achieved security by using isolation from the outside and proprietary protocols to communicate inside. This paradigm is changed with the advent of the Industrial Internet of Things that foresees flexible and interconnected systems. In this contribution, the threats coming from this new approach are analyzed and a framework for identify them is proposed. It is based on the common signature based intrusion detection system developed in the information technology domain, however, to cope with the constraints of the operation technology domain, it exploits anomaly based features. Specifically, it is able to analyze the traffic on the network at application layer by mean of deep packet inspection, parsing the information carried by the proprietary protocols. Two different topologies are adopted to cope also with legacy systems. A simple set up is considered to prove the effectiveness of the approach.
传统的工业控制系统通过与外部隔离和内部通信的专有协议来实现安全。随着工业物联网的出现,这种模式发生了变化,工业物联网预见了灵活和互联的系统。在这篇文章中,分析了这种新方法带来的威胁,并提出了一个识别它们的框架。它是在信息技术领域发展起来的基于通用签名的入侵检测系统的基础上,利用基于异常的特征来应对操作技术领域的约束。具体来说,它可以通过深度数据包检测来分析应用层的网络流量,解析专有协议携带的信息。还采用了两种不同的拓扑来处理遗留系统。通过一个简单的设置来证明该方法的有效性。
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引用次数: 5
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2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)
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