2018 IEEE International Conference on Industrial Internet (ICII)最新文献

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On the Impact of WiFi on 2.4 GHz Industrial IoT Networks 研究WiFi对2.4 GHz工业物联网网络的影响
2018 IEEE International Conference on Industrial Internet (ICII) Pub Date : 2018-10-01 DOI: 10.1109/ICII.2018.00012
Fabian Rincon, Yasuyuki Tanaka, T. Watteyne
{"title":"On the Impact of WiFi on 2.4 GHz Industrial IoT Networks","authors":"Fabian Rincon, Yasuyuki Tanaka, T. Watteyne","doi":"10.1109/ICII.2018.00012","DOIUrl":"https://doi.org/10.1109/ICII.2018.00012","url":null,"abstract":"Many Industrial IoT TSCH networks, such as SmartMesh IP, operate in the same 2.4 GHz frequency band as WiFi. As the smart factory becomes more and more connected, WiFi starts being rolled out on many factory floors. It is hence completely legitimate to question whether WiFi impacts Industrial IoT TSCH networks, and in particular their endto-end reliability. In a setup which replicates a worst case industrial setting, we conduct a thorough experimental study which looks at the performance of a 47-mote SmartMesh IP network undergoing several levels of WiFi interference. The result is that, even though the latency and power consumption of the network increase, end-to-end reliability stays at 100% even under very high WiFi interference. The conclusion is that TSCH technology at 2.4 GHz, such as SmartMesh IP, is perfectly appropriate to for an industrial environment where WiFi is heavily used. This paper is complemented by a research report which contains all the information needed to replicate the measurements, and the raw data.","PeriodicalId":330919,"journal":{"name":"2018 IEEE International Conference on Industrial Internet (ICII)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134181470","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: 5
An Energy-Image Based Multi-Unit Power Load Forecasting System 基于能量图像的多机组电力负荷预测系统
2018 IEEE International Conference on Industrial Internet (ICII) Pub Date : 2018-10-01 DOI: 10.1109/ICII.2018.00016
Chengpei Tang, Shanqing Wang, Chancheng Zhou, Xiaolong Zheng, Hua Li, Xiangjian Shi
{"title":"An Energy-Image Based Multi-Unit Power Load Forecasting System","authors":"Chengpei Tang, Shanqing Wang, Chancheng Zhou, Xiaolong Zheng, Hua Li, Xiangjian Shi","doi":"10.1109/ICII.2018.00016","DOIUrl":"https://doi.org/10.1109/ICII.2018.00016","url":null,"abstract":"Electric energy is one of the most important energy sources for modern industry. The electrical power system is expected to achieve the dynamic balance between electricity generation and electricity consumption, to avoid thriftless excessive generation or power shortage. In this paper, we propose EMPLF, an energy-image based multi-unit power load forecasting system that applies Internet of Things (IoT) techniques on traditional electricity industry. To solve the inaccuracy caused by the diversity of unit power consumption, EM-PLF exploits multiple models to predict the power loads of different units in a factory. To gather the prediction supporting data, we design an embedded device platform to collect the fine-grained power consumption as energy-image snapshots. We also propose the power load prediction algorithm based on Long Short-Term Memory (LSTM) neural network, taking the time correlation of power loads into consideration. We implement and run our system in a real-world factory for more than one year and evaluate its performance with a 500-day real operation data set. The results demonstrate that EM-PLF significantly improves the prediction accuracy.","PeriodicalId":330919,"journal":{"name":"2018 IEEE International Conference on Industrial Internet (ICII)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115170114","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: 1
Current Cyber Security Challenges in ICS ICS当前面临的网络安全挑战
2018 IEEE International Conference on Industrial Internet (ICII) Pub Date : 2018-10-01 DOI: 10.1109/ICII.2018.00013
Animesh Pattanayak, Matt W. Kirkland
{"title":"Current Cyber Security Challenges in ICS","authors":"Animesh Pattanayak, Matt W. Kirkland","doi":"10.1109/ICII.2018.00013","DOIUrl":"https://doi.org/10.1109/ICII.2018.00013","url":null,"abstract":"After a cyber-incident on an Industrial Control System (ICS), there is frequently an immediate incident response. However, after restoring the critical service, there is often little in the way of forensics to discover the source, impact, or events of the attack. In part, this is due to the challenge areas in ICSs cybersecurity outlined in this document. This paper discusses common challenges, some mitigations to those challenges, and applies them briefly to past attacks.","PeriodicalId":330919,"journal":{"name":"2018 IEEE International Conference on Industrial Internet (ICII)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123676309","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: 10
Message from the ICII 2018 General Chair 2018年ICII总主席致辞
2018 IEEE International Conference on Industrial Internet (ICII) Pub Date : 2018-10-01 DOI: 10.1109/icii.2018.00005
I. Crnkovic
{"title":"Message from the ICII 2018 General Chair","authors":"I. Crnkovic","doi":"10.1109/icii.2018.00005","DOIUrl":"https://doi.org/10.1109/icii.2018.00005","url":null,"abstract":"It is my great pleasure to welcome you to the 40th International Conference on Software Engineering in Gothenburg, Sweden. Science and research, as well as the openness to new ideas and new people, are an important part of the Scandinavian culture. Sweden hosts many high technology companies in which software plays an essential role. The Town of Gothenburg, with its two internationally renowned universities, variety of ICT and related companies, with many cultural attractions, and beautiful natural surroundings, welcomes you! This year’s ICSE is unique in at least two respects. ICSE 2018 celebrates its 40th anniversary. During its journey, ICSE has developed to the premier conference in Software Engineering, known for its quality, excellence, attractiveness, and inspirational atmosphere. We pay tribute to the 40th anniversary with a collection of memories of previous conferences printed in a booklet, and with a celebration session gathering all previous chairs to thank them for their devoted and highly successful work. The second unique event of this conference is the celebration of the 50 years of Software Engineering, that is considered to be born at the NATO Software Engineering Conference 1968, held in Garmisch, where the term Software Engineering was established. We honor this event with keynotes which have direct impact of the Software Engineering development and a panel with some of the participants of the 1968 conference.","PeriodicalId":330919,"journal":{"name":"2018 IEEE International Conference on Industrial Internet (ICII)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128832837","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: 0
Low-Power Wide-Area Networks for Industrial Sensing Applications 工业传感应用的低功耗广域网
2018 IEEE International Conference on Industrial Internet (ICII) Pub Date : 2018-10-01 DOI: 10.1109/ICII.2018.00011
P. Sommer, Y. Maret, D. Dzung
{"title":"Low-Power Wide-Area Networks for Industrial Sensing Applications","authors":"P. Sommer, Y. Maret, D. Dzung","doi":"10.1109/ICII.2018.00011","DOIUrl":"https://doi.org/10.1109/ICII.2018.00011","url":null,"abstract":"The Industrial Internet of Things (IIoT) allows to interconnect a large number of devices and sensors to improve the operation of industrial installations and processes. Low-power wireless communication capabilities enable battery-powered condition monitoring applications that avoid the cost of wiring. Low-power wide-area networks (LPWANs) are a novel class of wireless communication systems that are tailored for long-range connectivity at low data rates using resource-constrained devices (e.g., battery-powered wireless sensor nodes). LPWAN protocols are designed to operate in unlicensed parts of the radio-frequency spectrum. As the transmission power within these bands is limited by regulations, LPWAN technologies reduce data transfer rates to operate at a higher link budget and thus provide larger communication ranges than short-range wireless protocols (e.g., Bluetooth, WiFi). In this paper, we provide an overview of the different LPWAN protocols and discuss their integration into industrial sensing applications. In the second part of this study, we present the evaluation results of a multi-week industrial condition monitoring case study with a focus on three selected LPWAN technologies: LoRa, IEEE 802.15.4g, and a proprietary narrow-band communication scheme (TI CC1310 long-range mode). Our experimental results have shown that LoRa modulation provides the largest communication range and reliability in our industrial indoor setup followed by the TI CC1310 narrowband communication protocol. However, IEEE 802.15.4g is a viable choice for scenarios where a smaller link budget (and thus smaller range) are required as it consumes about an order of magnitude less energy to send a radio packet compared to the other protocols in our test.","PeriodicalId":330919,"journal":{"name":"2018 IEEE International Conference on Industrial Internet (ICII)","volume":"366 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114501959","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: 11
TagLeak: Non-Intrusive and Battery-Free Liquid Leakage Detection with Backscattered Signals TagLeak:使用反向散射信号的非侵入式无电池液体泄漏检测
2018 IEEE International Conference on Industrial Internet (ICII) Pub Date : 2018-10-01 DOI: 10.1109/ICII.2018.00-16
Junchen Guo, Ting Wang, Meng Jin, Songzhen Yang, Chengkun Jiang, Long Liu, Yuan He
{"title":"TagLeak: Non-Intrusive and Battery-Free Liquid Leakage Detection with Backscattered Signals","authors":"Junchen Guo, Ting Wang, Meng Jin, Songzhen Yang, Chengkun Jiang, Long Liu, Yuan He","doi":"10.1109/ICII.2018.00-16","DOIUrl":"https://doi.org/10.1109/ICII.2018.00-16","url":null,"abstract":"Leakage detection is a crucial issue for factories with numerous pipelines and valves. Conventional methods for leakage detection are mainly rely on manual checking, which results in both high delay and low accuracy. In this paper, we propose TagLeak, a real-time and low-cost system for automatic leakage detection with commercial off-the-shelf (COTS) RFID devices. The key intuition behind TagLeak is that the leaked liquid around tags will change their phase and RSSI (Received Signal Strength Indicator) readings. Multiple challenges need to be addressed before we can turn the idea into a functional system, including: i) it is difficult to detect the slight signal variation that caused by the leaked liquid, based on the coarse-grained RSSI sequence; ii) multipath and interferences can undermine the tags signal, making the variation caused by leaked liquid more difficult to detect. We propose solutions to these challenges and evaluate the systems performance in different environments. The experimental results tell that TagLeak achieves a higher than 90.2% true positive rate (TPR) while keeps false positive rate (FPR) below 14.3%. Moreover, as an exploration of the industrial Internet, we have deployed TagLeak in a real-world digital twin system Pavatar for liquid leakage detection in an ultra-high-voltage converter station (UHVCS).","PeriodicalId":330919,"journal":{"name":"2018 IEEE International Conference on Industrial Internet (ICII)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122988801","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: 3
Brightics-IoT: Towards Effective Industrial IoT Platforms for Connected Smart Factories Brightics-IoT:为互联智能工厂打造有效的工业物联网平台
2018 IEEE International Conference on Industrial Internet (ICII) Pub Date : 2018-10-01 DOI: 10.1109/ICII.2018.00024
Hyokeun Choi, Jaeseung Song, Kyuyull Yi
{"title":"Brightics-IoT: Towards Effective Industrial IoT Platforms for Connected Smart Factories","authors":"Hyokeun Choi, Jaeseung Song, Kyuyull Yi","doi":"10.1109/ICII.2018.00024","DOIUrl":"https://doi.org/10.1109/ICII.2018.00024","url":null,"abstract":"Industrial Internet-of-Things (IIoT) supports machines, computers and users to enable intelligent operations using advanced device management and data analytics. In recent years, thanks to standardized IoT platforms and advanced Artificial Intelligence (AI) technologies, there have been great advances in IIoT, and now it promises revolutions on various manufacturing domains such as transport, health, factory and energy. In this paper, based on our experience operating IIoT in various factory applications, we present the technical challenges of manufacturing facilities needed to be dealt with to collect huge amount of data in real-time and counteraction points of an IoT platform regarding these technical challenges and what kinds of features need to be implemented for intelligent services in the smart manufacturing. Finally, we introduce a story of applying industrial IoT platform in production to show how iterative development approaches can achieve business requirements based on elastically scaled-out architecture.","PeriodicalId":330919,"journal":{"name":"2018 IEEE International Conference on Industrial Internet (ICII)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131513109","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: 12
Helping IT and OT Defenders Collaborate 帮助IT和OT防御者协作
2018 IEEE International Conference on Industrial Internet (ICII) Pub Date : 2018-10-01 DOI: 10.1109/icii.2018.00036
Glenn A. Fink, P. McKenzie
{"title":"Helping IT and OT Defenders Collaborate","authors":"Glenn A. Fink, P. McKenzie","doi":"10.1109/icii.2018.00036","DOIUrl":"https://doi.org/10.1109/icii.2018.00036","url":null,"abstract":"Cyber-physical systems, especially in critical infrastructures, have become primary hacking targets in international conflicts and diplomacy. However, cyber-physical systems present unique challenges to defenders, starting with an inability to communicate. This paper outlines the results of our interviews with information technology (IT) defenders and operational technology (OT) operators and seeks to address lessons learned from them in the structure of our notional solutions. We present two problems in this paper: (1) the difficulty of coordinating detection and response between defenders who work on the cyber/IT and physical/OT sides of cyber-physical infrastructures, and (2) the difficulty of estimating the safety state of a cyber-physical system while an intrusion is underway but before damage can be effected by the attacker. To meet these challenges, we propose two solutions: (1) a visualization that will enable communication between IT defenders and OT operators, and (2) a machine-learning approach that will estimate the distance from normal the physical system is operating and send information to the visualization.","PeriodicalId":330919,"journal":{"name":"2018 IEEE International Conference on Industrial Internet (ICII)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114825741","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: 0
A Serverless IoT Architecture for Smart Waste Management Systems 智能废物管理系统的无服务器物联网架构
2018 IEEE International Conference on Industrial Internet (ICII) Pub Date : 2018-10-01 DOI: 10.1109/ICII.2018.00034
Eyhab Al-Masri, Ibrahim Diabate, Richa Jain, M. H. Lam, Swetha Reddy Nathala
{"title":"A Serverless IoT Architecture for Smart Waste Management Systems","authors":"Eyhab Al-Masri, Ibrahim Diabate, Richa Jain, M. H. Lam, Swetha Reddy Nathala","doi":"10.1109/ICII.2018.00034","DOIUrl":"https://doi.org/10.1109/ICII.2018.00034","url":null,"abstract":"In recent years, the waste management and recycling industry has been facing multiple challenges such as protecting the public from harmful hazardous waste, promoting recycling and material source separation into common material streams. For instance, separating waste of hazardous wastes such as paint or batteries can be costly during the source separation process after waste is collected. What is therefore needed is a smart waste management system that is capable of identifying waste materials prior to the separation process. To overcome these challenges and more, we introduce recycle.io, a serverless Internet of Things (IoT) architecture for smart waste management systems. Using recycle.io, it is then possible to determine in real-time the types of source material violations prior to the waste collection. In this manner, waste management systems can identify sources of violations and rectify this by bringing awareness to the public or issuing fines to prevent violations from occurring. We demonstrate usefulness of our approach throughout the paper.","PeriodicalId":330919,"journal":{"name":"2018 IEEE International Conference on Industrial Internet (ICII)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114849782","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: 25
QoS-Aware IIoT Microservices Architecture 支持qos的IIoT微服务架构
2018 IEEE International Conference on Industrial Internet (ICII) Pub Date : 2018-10-01 DOI: 10.1109/ICII.2018.00030
Eyhab Al-Masri
{"title":"QoS-Aware IIoT Microservices Architecture","authors":"Eyhab Al-Masri","doi":"10.1109/ICII.2018.00030","DOIUrl":"https://doi.org/10.1109/ICII.2018.00030","url":null,"abstract":"Data has become a strategic driver for the success of existing IIoT applications particularly in uncovering valuable insights and enabling smarter, faster decision making. A key enabler for harnessing the power of this data and integrating it into IIoT applications is through the use of RESTful APIs and microservices. The problem, however, is that IIoT applications do not take into consideration the dynamism of service-based environments. The Quality of Service (QoS) characteristics of microservices may fluctuate during their lifecycle. We propose a solution to this problem by considering the microservices' QoS properties when integrating microservices in IIoT applications. Using our microservice QoS-aware monitoring scheme, it is then possible to establish an overall assessment of a microservice's behavior in delivering the required functionality.","PeriodicalId":330919,"journal":{"name":"2018 IEEE International Conference on Industrial Internet (ICII)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121248434","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: 11
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