2018 Workshop on Metrology for Industry 4.0 and IoT最新文献

Synchronization of IoT Layers for Structural Health Monitoring 用于结构健康监测的物联网层同步

2018 Workshop on Metrology for Industry 4.0 and IoT Pub Date : 2018-04-16 DOI: 10.1109/METROI4.2018.8428329

F. Lamonaca, P. F. Sciammarella, C. Scuro, D. L. Carní, R. Olivito

引用次数: 20

Array of Semiconductor Nanowires Gas Sensor for IoT in Wastewater Management 用于废水管理的半导体纳米线气体传感器阵列

2018 Workshop on Metrology for Industry 4.0 and IoT Pub Date : 2018-04-16 DOI: 10.1109/METROI4.2018.8438882

Matteo Sonrani, M. Abbatangelo, E. Carmona, G. Duina, Maura Malgaretti, E. Comini, V. Sberveglieri, Manohar Prasad Bhandari, Daniele Bolpagni, G. Sberveglieri

引用次数: 10

Internet of Things for Structural Health Monitoring 物联网结构健康监测

2018 Workshop on Metrology for Industry 4.0 and IoT Pub Date : 2018-04-16 DOI: 10.1109/METROI4.2018.8439038

F. Lamonaca, P. F. Sciammarella, C. Scuro, D. L. Carní, R. Olivito

引用次数: 41

Challenges of Securing the Industrial Internet of Things Value Chain 保障工业物联网价值链的挑战

2018 Workshop on Metrology for Industry 4.0 and IoT Pub Date : 2018-04-16 DOI: 10.1109/METROI4.2018.8428344

Stefan Forsström, I. Butun, M. Eldefrawy, Ulf Jennehag, M. Gidlund

引用次数: 29

Condition Monitoring in Industry 4.0-Design Challenges and Possibilities: A Case Study 工业4.0中的状态监测——设计挑战和可能性:一个案例研究

2018 Workshop on Metrology for Industry 4.0 and IoT Pub Date : 2018-04-16 DOI: 10.1109/METROI4.2018.8428306

K. Shahzad, M. O’nils

{"title":"Condition Monitoring in Industry 4.0-Design Challenges and Possibilities: A Case Study","authors":"K. Shahzad, M. O’nils","doi":"10.1109/METROI4.2018.8428306","DOIUrl":"https://doi.org/10.1109/METROI4.2018.8428306","url":null,"abstract":"The application of IoT in manufacturing industry is believed to transform the traditional concept of factories into fully integrated manufacturing systems that are capable of meeting different requirements/demands originating within the factory, in supply chain and in user communities in a real time manner. One key area that is likely to benefit at an early stage development of the Industrial IoT is the condition monitoring of the production machinery. However, there are several challenges in realizing effective IoT enabled condition monitoring solutions with currently available enabling technologies. In this paper, we analyze the design challenges associated with realizing IoT enabled industrial condition monitoring with particular focus on enabling end-devices in managing large amount of acquired data. With the help of a vibration based condition monitoring case study the challenges are analyzed in a quantitative manner and possible alternatives are explored. The results suggest that for the efficient and long term condition monitoring in the smart industry of the future, improvements in the enabling technologies are required to design optimized end-devices.","PeriodicalId":396967,"journal":{"name":"2018 Workshop on Metrology for Industry 4.0 and IoT","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124088414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

A Preliminary Study of a Cyber Physical System for Industry 4.0: Modelling and Co-Simulation of an AGV for Smart Factories 工业4.0网络物理系统的初步研究:智能工厂AGV的建模与联合仿真

2018 Workshop on Metrology for Industry 4.0 and IoT Pub Date : 2018-04-16 DOI: 10.1109/METROI4.2018.8428334

L. Cavanini, P. Cicconi, A. Freddi, M. Germani, S. Longhi, A. Monteriù, E. Pallotta, M. Prist

引用次数: 10

Low-Cost Implementation of an Active Phasor Data Concentrator for Smart Grid 智能电网有源相量数据集中器的低成本实现

2018 Workshop on Metrology for Industry 4.0 and IoT Pub Date : 2018-04-16 DOI: 10.1109/METROI4.2018.8428312

P. Castello, C. Muscas, P. Pegoraro, S. Sulis

{"title":"Low-Cost Implementation of an Active Phasor Data Concentrator for Smart Grid","authors":"P. Castello, C. Muscas, P. Pegoraro, S. Sulis","doi":"10.1109/METROI4.2018.8428312","DOIUrl":"https://doi.org/10.1109/METROI4.2018.8428312","url":null,"abstract":"Nowadays., synchrophasor technology is becoming an important element for monitoring power systems. The base elements of the measurement architecture are represented by the Phasor Measurement Unit (PMU) and the Phasor Data Concentrator (PDC). The PMU is the “sensor” of the measurement system and the PDC is the collector of the data forwarded by PMUs installed on the field. Recently, several research works and pilot projects are pushing to extend the benefit of synchrophasor technology from transmission grids to distribution networks. In this context, different projects are seeking to use low-cost platforms to design devices with PMU functionalities. In this perspective, to achieve a complete measurement architecture based on low-cost synchrophasor technologies, this work presents a PDC design based on a low-cost platform, in which., despite the simplicity of the considered hardware, advanced PDC functionalities are implemented. The proposed device is evaluated through the performance of the time synchronisation module and the number of data streams, compliant with standard IEEE C37.118.2-2011, that can be managed at different reporting rates.","PeriodicalId":396967,"journal":{"name":"2018 Workshop on Metrology for Industry 4.0 and IoT","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122986220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Data Validation Techniques for Measurements Systems Operating in a Industry 4.0 Scenario a Condition Monitoring Application 在工业4.0场景下运行的测量系统的数据验证技术:状态监测应用

2018 Workshop on Metrology for Industry 4.0 and IoT Pub Date : 2018-04-16 DOI: 10.1109/METROI4.2018.8428317

G. D'Emilia, A. Gaspari

引用次数: 12

In-Line Monitoring of Laser Welding Using a Smart Vision System 基于智能视觉系统的激光焊接在线监测

2018 Workshop on Metrology for Industry 4.0 and IoT Pub Date : 2018-04-16 DOI: 10.1109/METROI4.2018.8428332

S. Pasinetti, G. Sansoni, F. Docchio

{"title":"In-Line Monitoring of Laser Welding Using a Smart Vision System","authors":"S. Pasinetti, G. Sansoni, F. Docchio","doi":"10.1109/METROI4.2018.8428332","DOIUrl":"https://doi.org/10.1109/METROI4.2018.8428332","url":null,"abstract":"This paper presents a vision system for the in-line monitoring of laser welding. The system is based on a coaxial optical setup purposely chosen to guarantee robust detection of the joints and optimal acquisition of the melt pool region. Two procedures have been developed: the former focuses on keeping the laser head locked to the joint during the welding; the latter monitors the appearance of the keyhole region. The system feedbacks the joint position to the robot used to move the welding laser and monitors the penetration state of the laser. The goal is to achieve a continuous adaptation of the laser parameters (power., speed and focusing) to guarantee the weld quality. The developed algorithms have been designed to optimize the system performance in terms of the elaboration time and of accuracy and robustness of the detection. The overall architecture follows the Industrial Internet of Things approach, where vision is embedded, edge-based analysis is carried out, actuators are directly driven by the vision system, a latency-free transmission architecture allows interconnection as well as the possibility to remotely control multiple delocalized units.","PeriodicalId":396967,"journal":{"name":"2018 Workshop on Metrology for Industry 4.0 and IoT","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125125750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Experimental Characterization of Long Term Evolution Multiple Input Multiple Output Performance in Urban Propagation Scenarios 城市传播场景下长期进化多输入多输出性能的实验表征

2018 Workshop on Metrology for Industry 4.0 and IoT Pub Date : 2018-04-16 DOI: 10.1109/METROI4.2018.8428318

S. Avallone, N. Pasquino, G. Ventre, S. Zinno

引用次数: 5