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

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Task Offloading Based on Edge Computing Considering Overhead and Load Balancing in Industrial Internet of Things 工业物联网中考虑开销和负载均衡的基于边缘计算的任务卸载
Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442079
Jincheng Xu, Bo Yang, Cailian Chen
Recently, the development of Industrial Internet of Things has made the emergence of innovative applications which are usually computation-intensive and latency-critical. In this paper, we study the task offloading in software-defined access network, where the industrial devices and edge computing servers are connected to wireless access points. To meet applications' requirements about latency and computing capacity and realize computational load balancing, we formulate a mixed integer non-linear program problem to minimize the overall cost. First, we propose an algorithm based on convex optimization and matching theory to minimize the overhead. Then, we consider load balancing of edge servers and extend our problem with regard to overhead and load balancing cost. We adopt alternating direction method of multipliers algorithm to solve the extended problem. Finally, simulation results demonstrate the effectiveness and superiority of our proposed algorithm.
近年来,随着工业物联网的发展,出现了一些计算密集型和延迟关键型的创新应用。本文研究了工业设备和边缘计算服务器连接到无线接入点的软件定义接入网中的任务卸载问题。为了满足应用程序对延迟和计算能力的要求,实现计算负载均衡,我们制定了一个混合整数非线性程序问题,以最小化总体成本。首先,我们提出了一种基于凸优化和匹配理论的算法来最小化开销。然后,我们考虑边缘服务器的负载平衡,并将我们的问题扩展到开销和负载平衡成本方面。我们采用乘法器算法的交替方向法来解决扩展问题。最后,仿真结果验证了所提算法的有效性和优越性。
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引用次数: 2
Coordinated Control Strategy for Ship Wind Power Hybrid Energy Storage 船舶风电混合储能协调控制策略
Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442134
Ye Yang, PF Zhi, Wanlu Zhu, Wugui Wang, Yongshuang Qi, Hui Ye
Aiming at the characteristics of unstable wind power during the ship's sailing process, this paper uses a multi-lithium battery-supercapacitor hybrid energy storage system to store electrical energy, and stabilizes the severe fluctuations in wind power. The utilization of electrical energy in the ship's power grid has been improved. Utilizing the fast charging and discharging characteristics of supercapacitors, a control strategy for supercapacitor switching charging and discharging was designed to improve the energy utilization rate.
本文针对船舶航行过程中风力发电不稳定的特点,采用多锂电池-超级电容器混合储能系统来存储电能,稳定风力发电的剧烈波动。船舶电网中电能的利用得到了提高。利用超级电容器的快速充放电特性,设计了一种超级电容器切换充放电控制策略,以提高能量利用率。
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引用次数: 0
Functionality and Fault Modeling of a DC Motor with Verilog-AMS 用Verilog-AMS进行直流电机的功能和故障建模
Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442191
Nicola Dall'Ora, S. Vinco, F. Fummi
In the context of industry 4.0, it is strategic to support factories with innovative maintenance approaches, so to avoid faults and decrease the risks of a production stop. The first step of the digitization of factories has been the collection of large amounts of data monitoring the health status of the plant. However, such data is of little use unless it is clearly correlated with information about faults occurred on the line: some faults may be sporadic, or happen only in extremely critical conditions, and thus no data may be available related to their occurrence. Artificially generating such data would force to actually damage the plant, that is of course not a viable solution. The goal of this work is to generate faulty temporal series, that reproduce the behavior of a component on the occurrence of specific faults. The innovative approach models the component of interest in Verilog-AMS (VAMS) and systematically injects the faults of interest, by keeping a direct link with the real possible cause of such faulty behavior on the plant. To prove the effectiveness of the proposed solution, the approach is applied to a direct current motor (DC motor), an electromechanical system that converts electrical energy into mechanical energy.
在工业4.0的背景下,通过创新的维护方法来支持工厂是一种战略,从而避免故障并降低生产停止的风险。工厂数字化的第一步是收集大量数据,监测工厂的健康状况。然而,除非这些数据与在线上发生的故障信息有明确的关联,否则这些数据几乎没有用处:有些故障可能是零星的,或者只发生在极其危急的情况下,因此可能没有与故障发生有关的数据。人为地产生这样的数据将迫使实际破坏工厂,这当然不是一个可行的解决方案。这项工作的目标是生成故障时间序列,再现组件在发生特定故障时的行为。该创新方法对Verilog-AMS (VAMS)中感兴趣的组件进行建模,并系统地注入感兴趣的故障,通过与工厂上此类故障行为的实际可能原因保持直接联系。为了证明所提出的解决方案的有效性,将该方法应用于直流电机(DC电机),一种将电能转换为机械能的机电系统。
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引用次数: 1
Deploying Two-Tiered Wireless Sensor/Actuator Networks Supporting In-Network Computation 部署支持网络内计算的双层无线传感器/执行器网络
Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442140
Chaofan Ma, M. Zheng, W. Liang, Martin Kasparick, Yufeng Lin
The centralized computing model in traditional Wireless Sensor/Actuator Networks (WSANs) can lead to large delays and unbalances, which severely restricts the adoption of WSANs in applications requiring high network performance. To address this limitation, the in-network computation model has been proposed, in which the computation capability is distributed among wireless nodes in WSANs, i.e., wireless nodes perform not only data communication but also data processing. Node placement is a primary step to build the underlaying topologies of WSANs. Nevertheless, the problem of node placement to design underlaying network topologies supporting in-network computation is still unexplored. To this end, we propose an In-network-oriented Node Placement Algorithm (INPA) to build WSANs supporting in-network computation. Moreover, we investigate the time complexity of INPA and verify the efficiency of INPA through extensive simulations.
传统的无线传感器/执行器网络(Wireless Sensor/Actuator network, WSANs)的集中式计算模型会导致较大的延迟和不平衡,严重限制了对网络性能要求较高的应用中采用WSANs。针对这一局限性,提出了一种网络内计算模型,该模型将计算能力分配给无线无线局域网中的无线节点,即无线节点不仅进行数据通信,还进行数据处理。节点放置是构建wsan底层拓扑的主要步骤。然而,设计支持网络内计算的底层网络拓扑的节点放置问题仍未得到探索。为此,我们提出了一种面向网络的节点放置算法(INPA)来构建支持网络内计算的WSANs。此外,我们研究了INPA的时间复杂度,并通过大量的仿真验证了INPA的有效性。
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引用次数: 1
Water Pressure Monitoring Using a Temperature-Compensated WP-SAW Pressure Sensor 使用温度补偿WP-SAW压力传感器进行水压监测
Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442222
Zhaozhao Tang, Wenyan Wu, Jinliang Gao, Po Yang, Jingting Luo, C. Fu
This paper presents a method on improving water pressure monitoring using wireless passive surface acoustic wave (WP-SAW) sensor. An experimental framework acting as water pipe simulator is built. Signal processing methods such as down-conversion, quadrature sampling, average, and multi-iterative two-point simple moving average (MI-2P-SMA) are utilized for improving sensing accuracy. The results show the relative errors of temperature at all testing points are less than 1% and the relative errors of pressure at all testing points are less than 2%.
本文提出了一种利用无线被动表面声波(WP-SAW)传感器改进水压监测的方法。建立了一个作为水管模拟器的实验框架。信号处理方法,如下变频、正交采样、平均和多迭代两点简单移动平均(MI-2P-SMA)用于提高传感精度。结果表明,各测点温度的相对误差小于1%,压力的相对误差小于2%。
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引用次数: 3
Emerging Technologies-driven Cloud Manufacturing 新兴技术驱动的云制造
Pub Date : 2020-07-20 DOI: 10.1109/indin45582.2020.9442105
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引用次数: 0
Embedded System for Automation of Linear Welding Robot for Naval and Offshore Industry 船舶及海洋工业直线焊接机器人自动化的嵌入式系统
Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442170
Luciane B. Soares, Débora Debiaze de Paula, Patrick Baldez, Lucas Caetano, R. Nagel, D. Espíndola, Paulo L. J. Drews-Jr, S. Botelho
The continuous growth of the naval and offshore industries require that the processes be steady and reliable, forcing the industries to keep up and dealing with the most modern methods of development. Among these processes, the welding is one of the most commons that has been used widely in the construction of oil platforms. The welding is used in many areas, beyond the naval, it being dangerous for the welder because the surroundings contain fumes and radiation. Once the welding is an usual procedure and the surroundings of the work space can be harmful to human's health, bring more automation for the welding process can improve the productivity levels and move human operators away from danger. However in the naval industry the projects are individualized, making the process of implementation of robotic cells difficult. Using modular robots turn the weld more reliable but are not a optimal solution due it still need a human operator near the process to change the robot's parameters and detect possible errors. So, this work proposes a architecture to turn these robots into autonomous systems, being able to detect the features of the groove to be weld, perform the welding with minimum of human interference or none and inspect the final product.
海军和近海工业的持续增长要求过程稳定可靠,迫使工业跟上并处理最现代的发展方法。在这些工艺中,焊接是最常见的一种,在石油平台的建设中应用广泛。这种焊接在许多领域都有应用,除了海军以外,它对焊工来说是危险的,因为周围的环境含有烟雾和辐射。一旦焊接是一种常见的程序,工作空间的周围环境可能对人体健康有害,为焊接过程带来更多的自动化可以提高生产率水平,使人类操作员远离危险。然而,在海军工业中,这些项目是个性化的,这使得机器人细胞的实施过程变得困难。使用模块化机器人可以使焊接更加可靠,但这并不是最佳解决方案,因为它仍然需要在过程附近的操作人员来更改机器人的参数并检测可能的错误。因此,本工作提出了一种将这些机器人转变为自主系统的架构,能够检测待焊坡口的特征,在最少的人为干扰或没有人为干扰的情况下进行焊接,并检查最终产品。
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引用次数: 1
Efficient configuration of a QoS-aware AFDX network with Deficit Round Robin 基于赤字轮询的qos感知AFDX网络的高效配置
Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442115
Aakash Soni, Jean-Luc Scharbarg, Jérôme Ermont
AFDX is the de facto communication standard in avionics domain. It is primarily used for the transmission of critical avionic flows. The mandatory certification process requires to upper bound the end-to-end transmission delay for each critical flow. Therefore, worst-case traversal time analysis has been implemented. However, it leads to a very lightly loaded network (up to 10%) as it considers very rare worst-case situations. Introducing a QoS mechanism is often a good solution to improve network utilisation since it allows differentiating critical flows based on their constraints as well as the transmission of less/non-critical flows with bounded impact on critical ones. Deficit Round Robin is such a mechanism and it is envisioned for future avionic networks. Using this mechanism, we propose to share the bandwidth between $n$ - 1 classes for critical flows and one class for non-critical ones. Therefore the contributions of this paper are (1) to propose a quantum assignment that ensures that critical flows always respect their deadlines and maximises the bandwidth for non-critical ones and (2) to propose a heuristic for the distribution of the flows among different classes.
AFDX是航空电子领域事实上的通信标准。它主要用于传输临界航空电子流。强制认证过程要求对每个关键流的端到端传输延迟设置上限。因此,实现了最坏情况遍历时间分析。然而,由于它考虑了非常罕见的最坏情况,因此导致网络负载非常轻(最多10%)。引入QoS机制通常是提高网络利用率的一个很好的解决方案,因为它允许根据约束区分关键流,以及传输对关键流影响有限的非关键流。赤字轮询就是这样一种机制,它被设想用于未来的航空电子网络。使用这种机制,我们建议在临界流的$n$ - 1类和非临界流的一个类之间共享带宽。因此,本文的贡献是(1)提出了一种量子分配,以确保临界流始终尊重其截止日期并最大化非关键流的带宽;(2)提出了一种启发式的流在不同类别之间的分布。
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引用次数: 0
Application of Improved DBSCAN Clustering Algorithm on Industrial Fault Text Data 改进的DBSCAN聚类算法在工业故障文本数据中的应用
Pub Date : 2020-07-20 DOI: 10.1109/INDIN45582.2020.9442093
Xiaohan Wang, Lin Zhang, Xuesong Zhang, Kunyu Xie
The industrial fault text data are the special type of short texts, and they come from the records of faults in the factory. Clustering the industrial fault text data can reduce the redundant data and find out the hidden information, which is of great significance to improve the utilization of the industrial fault text data. The industrial fault text data are unstructured and irregular, so the clustering faces quite a few challenges. This paper introduces some existing algorithms for the clustering of short texts, and the shortcomings of them are briefly analyzed. This paper indicates that the main problem of the clustering of the industrial fault text data is the contradiction between the requirements and the setup of parameters, and it leads to low accuracy when cluster the corpus of different sizes. To increase the accuracy of clustering, an improved clustering algorithm is proposed which can solve this contradiction. The results of the comparative experiments show that the improved clustering algorithm has better performance than DBSCAN in corpus of different sizes on the industrial fault text data.
工业故障文本数据是一种特殊类型的短文本,它来源于工厂的故障记录。对工业故障文本数据进行聚类,可以减少冗余数据,发现隐藏信息,对提高工业故障文本数据的利用率具有重要意义。工业故障文本数据是非结构化和不规则的,因此聚类面临着很大的挑战。本文介绍了现有的短文本聚类算法,并简要分析了它们的不足。本文指出,工业故障文本数据聚类的主要问题是参数设置与要求之间的矛盾,导致对不同大小的语料进行聚类时准确率较低。为了提高聚类的准确率,提出了一种改进的聚类算法来解决这一矛盾。对比实验结果表明,改进的聚类算法在不同大小的工业故障文本数据语料库上的聚类性能优于DBSCAN算法。
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引用次数: 0
Robotics and Mechatronics in Industrial Applications 工业应用中的机器人和机电一体化
Pub Date : 2020-07-20 DOI: 10.1109/indin45582.2020.9442242
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引用次数: 0
期刊
2020 IEEE 18th International Conference on Industrial Informatics (INDIN)
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