Pub Date : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453625
Paavo Kajola, J. Blech, Udayanto Dwi Atmojo, V. Vyatkin
We present work on dynamic adapter connections for IEC 61499. Adapters in IEC 61499 simplify programs by encapsulating different event and data connections. Traditionally the plug and sockets are determined at design time of a system. In contrast, dynamic adapter connections do not statically link subsystems at design time, but allow to exchange interacting subsystems at runtime by retargeting plugs and sockets. This paper presents the dynamic adapter connection concept. In addition, we present an implementation concept based on OPC UA and an example.
{"title":"Dynamic Adapter Connections for IEC 61499","authors":"Paavo Kajola, J. Blech, Udayanto Dwi Atmojo, V. Vyatkin","doi":"10.1109/ICIT46573.2021.9453625","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453625","url":null,"abstract":"We present work on dynamic adapter connections for IEC 61499. Adapters in IEC 61499 simplify programs by encapsulating different event and data connections. Traditionally the plug and sockets are determined at design time of a system. In contrast, dynamic adapter connections do not statically link subsystems at design time, but allow to exchange interacting subsystems at runtime by retargeting plugs and sockets. This paper presents the dynamic adapter connection concept. In addition, we present an implementation concept based on OPC UA and an example.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"588 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116309077","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}
Pub Date : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453643
A. Viatkin, M. Ricco, Riccardo Mandrioli, T. Kerekes, R. Teodorescu, G. Grandi
This paper reports a novel modular multilevel converter with interleaved sub-modules (ISM-MMC). The ISM-MMC exhibit a higher scalability in current rating then conventional MMC structures with parallel devices. It can employ low-cost, low-current power switches rather than their bulky and expensive counterparts normally designed in classical MMCs. Another remarkable feature is that the number of the output voltage levels is synthetically multiplied by the number of interleaved SMs. The ISM-MMC is capable of bringing the known advantages of MMC to low voltage – high power applications making it a good candidate for the sector of ultra-fast chargers for electrical vehicles where typical power rating in excess of 1 MW is required for the low voltage supply. A proper modulation scheme is implemented and explained in this paper. A comparison with a classical MMC topology is also provided in terms of number of voltage levels, output voltage harmonic content, and number of components by fixing the number of SMs. Simulation results are given to demonstrate the feasibility of the proposed topology and the implemented modulation scheme. Despite this paper is dealing with a single-phase configuration, the extension to a three-phase scheme can be obtained in a straightforward manner.
{"title":"Modular Multilevel Converters Based on Interleaved Half-Bridge Submodules","authors":"A. Viatkin, M. Ricco, Riccardo Mandrioli, T. Kerekes, R. Teodorescu, G. Grandi","doi":"10.1109/ICIT46573.2021.9453643","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453643","url":null,"abstract":"This paper reports a novel modular multilevel converter with interleaved sub-modules (ISM-MMC). The ISM-MMC exhibit a higher scalability in current rating then conventional MMC structures with parallel devices. It can employ low-cost, low-current power switches rather than their bulky and expensive counterparts normally designed in classical MMCs. Another remarkable feature is that the number of the output voltage levels is synthetically multiplied by the number of interleaved SMs. The ISM-MMC is capable of bringing the known advantages of MMC to low voltage – high power applications making it a good candidate for the sector of ultra-fast chargers for electrical vehicles where typical power rating in excess of 1 MW is required for the low voltage supply. A proper modulation scheme is implemented and explained in this paper. A comparison with a classical MMC topology is also provided in terms of number of voltage levels, output voltage harmonic content, and number of components by fixing the number of SMs. Simulation results are given to demonstrate the feasibility of the proposed topology and the implemented modulation scheme. Despite this paper is dealing with a single-phase configuration, the extension to a three-phase scheme can be obtained in a straightforward manner.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123642487","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}
Pub Date : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453646
Tom Sander, Sven Lange, U. Hilleringmann, V. Geneiss, C. Hedayat, H. Kuhn, F. Gockel
During the industrial processing of materials for the manufacture of new products, surface defects can quickly occur. In order to achieve high quality without a long time delay, it makes sense to inspect the work pieces so that defective work pieces can be sorted out right at the beginning of the process. At the same time, the evaluation unit should come close the perception of the human eye regarding detection of defects in surfaces. Such defects often manifest themselves by a deviation of the existing structure. The only restriction should be that only matt surfaces should be considered here. Therefore in this work, different classification and image processing algorithms are applied to surface data to identify possible surface damages. For this purpose, the Gabor filter and the FST (Fused Structure and Texture) features generated with it, as well as the salience metric are used on the image processing side. On the classification side, however, deep neural networks, Convolutional Neural Networks (CNN), and autoencoders are used to make a decision. A distinction is also made between training using class labels and without. It turns out later that the salience metric are best performed by CNN. On the other hand, if there is no labeled training data available, a novelty classification can easily be achieved by using autoencoders as well as the salience metric and some filters.
{"title":"Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction","authors":"Tom Sander, Sven Lange, U. Hilleringmann, V. Geneiss, C. Hedayat, H. Kuhn, F. Gockel","doi":"10.1109/ICIT46573.2021.9453646","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453646","url":null,"abstract":"During the industrial processing of materials for the manufacture of new products, surface defects can quickly occur. In order to achieve high quality without a long time delay, it makes sense to inspect the work pieces so that defective work pieces can be sorted out right at the beginning of the process. At the same time, the evaluation unit should come close the perception of the human eye regarding detection of defects in surfaces. Such defects often manifest themselves by a deviation of the existing structure. The only restriction should be that only matt surfaces should be considered here. Therefore in this work, different classification and image processing algorithms are applied to surface data to identify possible surface damages. For this purpose, the Gabor filter and the FST (Fused Structure and Texture) features generated with it, as well as the salience metric are used on the image processing side. On the classification side, however, deep neural networks, Convolutional Neural Networks (CNN), and autoencoders are used to make a decision. A distinction is also made between training using class labels and without. It turns out later that the salience metric are best performed by CNN. On the other hand, if there is no labeled training data available, a novelty classification can easily be achieved by using autoencoders as well as the salience metric and some filters.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124024592","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}
Pub Date : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453580
Daniel Reguera-Bakhache, Iñaki Garitano, Roberto Uribeetxeberria, C. Cernuda
The incorporation of Artificial Intelligence (AI) into Industrial Environments has brought about a Smart Industry revolution, improving efficiency and simplifying complex industrial processes. However, these technological advances remain primarily focused on the process, and pay little attention to industrial Human-Machine Interfaces (HMI), the bridge between the operator and the industrial process.Current industrial HMIs have a static design, and are focused exclusively on the control and visualization of process information. They fail to take into account user behaviour and skills, information key to understanding how the operator interacts with the production process. Thus, the potential beneficial outcomes of considering operator-machine interaction in terms of efficiency and productivity, make a compelling case for industrial HMIs that can adapt to different operators based on their skills and process knowledge.This paper proposes a Machine Learning (ML) based method-ology capable of analysing operator-machine interaction and detecting the variability of interaction patterns for repetitive similar sequences in monitoring and control tasks. The method-ology generates a set of adaptation rules that improve Usability and User Experience, and hence operator working performance. To validate the proposed methodology, an experiment with real operators was conducted.
{"title":"An Industrial HMI Temporal Adaptation based on Operator-Machine Interaction Sequence Similarity","authors":"Daniel Reguera-Bakhache, Iñaki Garitano, Roberto Uribeetxeberria, C. Cernuda","doi":"10.1109/ICIT46573.2021.9453580","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453580","url":null,"abstract":"The incorporation of Artificial Intelligence (AI) into Industrial Environments has brought about a Smart Industry revolution, improving efficiency and simplifying complex industrial processes. However, these technological advances remain primarily focused on the process, and pay little attention to industrial Human-Machine Interfaces (HMI), the bridge between the operator and the industrial process.Current industrial HMIs have a static design, and are focused exclusively on the control and visualization of process information. They fail to take into account user behaviour and skills, information key to understanding how the operator interacts with the production process. Thus, the potential beneficial outcomes of considering operator-machine interaction in terms of efficiency and productivity, make a compelling case for industrial HMIs that can adapt to different operators based on their skills and process knowledge.This paper proposes a Machine Learning (ML) based method-ology capable of analysing operator-machine interaction and detecting the variability of interaction patterns for repetitive similar sequences in monitoring and control tasks. The method-ology generates a set of adaptation rules that improve Usability and User Experience, and hence operator working performance. To validate the proposed methodology, an experiment with real operators was conducted.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125799982","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}
Pub Date : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453573
Mateus C. L. de Castro, J. Xavier, Paulo F. F. Rosa, J. Oliveira
This article describes the elaboration of a low-cost system that allows user interaction with VR environments modeled in Unity and viewed through Google Cardboard. The proposed system divides the processing in a client-server architecture in which the VR experience is executed on the client, while it sends pictures captured from the mobile device inside the Card Board to the server. This server processes the hand pose information and sends it to the client.
{"title":"Interaction by Hand-Tracking in a Virtual Reality Environment","authors":"Mateus C. L. de Castro, J. Xavier, Paulo F. F. Rosa, J. Oliveira","doi":"10.1109/ICIT46573.2021.9453573","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453573","url":null,"abstract":"This article describes the elaboration of a low-cost system that allows user interaction with VR environments modeled in Unity and viewed through Google Cardboard. The proposed system divides the processing in a client-server architecture in which the VR experience is executed on the client, while it sends pictures captured from the mobile device inside the Card Board to the server. This server processes the hand pose information and sends it to the client.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"10 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125061549","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}
Pub Date : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453622
Sébastien Frizzi, M. Bouchouicha, E. Moreau
Researchers have found strong correlation between warm summer and the frequency and intensity of fires around the world. Climate models due to global warming tells us that average summer temperature will increase drastically in the next few decades entailing an increase of wildfire. Computer vision is a good tools to detect and locate an incipient fire and prevent a rapid spread of fire destroying huge forest areas as in Australia or Brazil. Smoke is the first clue of an incipient fire that can be detected by a camera to warn firemen to act as quickly as possible. Convolutional neural networks and semantic segmentation can achieve this task by giving location and scale of the fire to firemen. In order to efficiently train this type of network architectures, we need a database composed of many images and corresponding masks. The complexity of the smoke in terms of shape, texture, color and intensity is difficult to segment properly. The diversity of smoke types in the image database is crucial for generalizing prediction in real-world circumstances. Numerous research papers proposed new network architectures for segmenting smoke in visible images spectrum and tested the accuracy of the segmentation on their database. Database that, for the most of the time, was not available. This article deals with comparison of a network performances on two smoke databases and highlight the importance of a rich images database in terms of quality rather than quantity.
{"title":"Comparison of two semantic segmentation databases for smoke detection","authors":"Sébastien Frizzi, M. Bouchouicha, E. Moreau","doi":"10.1109/ICIT46573.2021.9453622","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453622","url":null,"abstract":"Researchers have found strong correlation between warm summer and the frequency and intensity of fires around the world. Climate models due to global warming tells us that average summer temperature will increase drastically in the next few decades entailing an increase of wildfire. Computer vision is a good tools to detect and locate an incipient fire and prevent a rapid spread of fire destroying huge forest areas as in Australia or Brazil. Smoke is the first clue of an incipient fire that can be detected by a camera to warn firemen to act as quickly as possible. Convolutional neural networks and semantic segmentation can achieve this task by giving location and scale of the fire to firemen. In order to efficiently train this type of network architectures, we need a database composed of many images and corresponding masks. The complexity of the smoke in terms of shape, texture, color and intensity is difficult to segment properly. The diversity of smoke types in the image database is crucial for generalizing prediction in real-world circumstances. Numerous research papers proposed new network architectures for segmenting smoke in visible images spectrum and tested the accuracy of the segmentation on their database. Database that, for the most of the time, was not available. This article deals with comparison of a network performances on two smoke databases and highlight the importance of a rich images database in terms of quality rather than quantity.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129694639","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}
Pub Date : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453541
R. Rayhana, Y. Jiao, Zhila Bahrami, Zheng Liu, A. Wu, X. Kong
The water distribution network is one of the fundamental and expensive infrastructures to sustain the urban life. The aging of these infrastructures and pipe deterioration are becoming major issues to tackle as it leads to massive water loss and environmental adversities. To combat the aforementioned issues, the water municipalities have included condition assessment programs to assess the internal condition of the pipelines. The assessment is usually carried out through the in-pipe inspection device with closed-circuit television (CCTV) system to videotape inside the pipelines. However, the in-pipe inspection device faces challenges to navigate through the butterfly valves inside the pipelines. This impedes the videotaping process and disrupts the condition assessment process as well. Hence, this paper proposes a smart valve detection system to detect valves in real-time by adopting NASNet architecture combined with a Faster R-CNN object detector. The experimental results from the proposed system show that the integration of valve detection into the in-pipe inspection tool can help the device to enable the control mechanism and navigate through the butterfly valves and also, aid in the efficient management of the water infrastructure.
{"title":"Smart Valve Detection System for Water Distribution Networks","authors":"R. Rayhana, Y. Jiao, Zhila Bahrami, Zheng Liu, A. Wu, X. Kong","doi":"10.1109/ICIT46573.2021.9453541","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453541","url":null,"abstract":"The water distribution network is one of the fundamental and expensive infrastructures to sustain the urban life. The aging of these infrastructures and pipe deterioration are becoming major issues to tackle as it leads to massive water loss and environmental adversities. To combat the aforementioned issues, the water municipalities have included condition assessment programs to assess the internal condition of the pipelines. The assessment is usually carried out through the in-pipe inspection device with closed-circuit television (CCTV) system to videotape inside the pipelines. However, the in-pipe inspection device faces challenges to navigate through the butterfly valves inside the pipelines. This impedes the videotaping process and disrupts the condition assessment process as well. Hence, this paper proposes a smart valve detection system to detect valves in real-time by adopting NASNet architecture combined with a Faster R-CNN object detector. The experimental results from the proposed system show that the integration of valve detection into the in-pipe inspection tool can help the device to enable the control mechanism and navigate through the butterfly valves and also, aid in the efficient management of the water infrastructure.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127061081","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}
In this paper a new single DC-source switched capacitor Nine-level inverter based on flyback DC-DC converter is presented. The proposed topology reduces the number of switches, diodes and required independent DC-sources. In this topology, a single DC source is used to produce 9-level output voltage waveform. So that, it is suitable for renewable photovoltaic energy systems. Since, in this topology a DC-DC flyback converter is applied so three isolated DC voltage are generated to supply the proposed switched capacitor inverter. There is no need to any complicate control methods for adjusting capacitor voltage around constant values. In order to highlight the advantages of the proposed topology, it has been compared with some other presented topologies in last years. The simulation results of 9-level inverter are obtained by PSCAD software to verify the accurate performance of the proposed multilevel inverter.
{"title":"A new Switched Capacitor Nine-Level Inverter Based on Flyback DC-DC converter","authors":"Milad Gavipanjeh Marangalu, Ataollah Samadian, Naser Vosoughi Kurdkandi, Arash Khoshkbar-Sadigh, S. Hosseini","doi":"10.1109/ICIT46573.2021.9453520","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453520","url":null,"abstract":"In this paper a new single DC-source switched capacitor Nine-level inverter based on flyback DC-DC converter is presented. The proposed topology reduces the number of switches, diodes and required independent DC-sources. In this topology, a single DC source is used to produce 9-level output voltage waveform. So that, it is suitable for renewable photovoltaic energy systems. Since, in this topology a DC-DC flyback converter is applied so three isolated DC voltage are generated to supply the proposed switched capacitor inverter. There is no need to any complicate control methods for adjusting capacitor voltage around constant values. In order to highlight the advantages of the proposed topology, it has been compared with some other presented topologies in last years. The simulation results of 9-level inverter are obtained by PSCAD software to verify the accurate performance of the proposed multilevel inverter.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127356999","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}
Pub Date : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453510
Peng Peng, Yuxuan Li, Zhenkai Hu, Changhong Deng, Liwen Zhu, Jun He
China's provincial and municipal power grid companies continue to introduce the peak shaving and frequency modulation (FM) incentive policy for the auxiliary service market, which will affect the planning and development of electric vehicle(EV) charging stations. In this paper, considering some scenarios of EV charging stations and EVs as a whole to provide power grid peak shaving and FM services, based on the EV charging demand prediction model. This paper proposes an EV charging station planning method that considers the benefit of grid peak shaving and FM. The goal is to minimize the annual social comprehensive cost of the charging station. The optimal location and capacity of EV charging stations are obtained by optimization of simulated annealing particle swarm algorithm. Finally, a simulation analysis was carried out with a part of Xiangzhou area in Zhuhai City as an example, which verified the validity and correctness of the method proposed in this paper.
{"title":"Study on the Planning Method of Electric Vehicle Charging Station considering the Efficiency of Peak Shaving and Frequency Regulations","authors":"Peng Peng, Yuxuan Li, Zhenkai Hu, Changhong Deng, Liwen Zhu, Jun He","doi":"10.1109/ICIT46573.2021.9453510","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453510","url":null,"abstract":"China's provincial and municipal power grid companies continue to introduce the peak shaving and frequency modulation (FM) incentive policy for the auxiliary service market, which will affect the planning and development of electric vehicle(EV) charging stations. In this paper, considering some scenarios of EV charging stations and EVs as a whole to provide power grid peak shaving and FM services, based on the EV charging demand prediction model. This paper proposes an EV charging station planning method that considers the benefit of grid peak shaving and FM. The goal is to minimize the annual social comprehensive cost of the charging station. The optimal location and capacity of EV charging stations are obtained by optimization of simulated annealing particle swarm algorithm. Finally, a simulation analysis was carried out with a part of Xiangzhou area in Zhuhai City as an example, which verified the validity and correctness of the method proposed in this paper.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129127412","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}
Pub Date : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453686
J. Haxhibeqiri, Xianjun Jiao, Muhammad Aslam, I. Moerman, J. Hoebeke
The ever-increasing need for real-time communication of factory processes in one hand, and the offered flexibility of wireless communication on the other, is pushing Time Sensitive Networking (TSN) evolution towards the wireless networks. By definition, wireless networks are non-deterministic due to their random channel access mechanism. In order to introduce TSN vision to the wireless world, such randomness needs to be controlled. In this paper, we implement a low-overhead beacon-based time synchronization mechanism that offers synchronization accuracy of as low as 10 µs, on average, for low beacon interval. Such accuracy is achieved by implementing a follow-up beacon packet, in addition to beacon mechanism itself, in order to account for any delays in sending beacons. The synchronization mechanism is tested in different intra and inter access point communication settings.
{"title":"Enabling TSN over IEEE 802.11: Low-overhead Time Synchronization for Wi-Fi Clients","authors":"J. Haxhibeqiri, Xianjun Jiao, Muhammad Aslam, I. Moerman, J. Hoebeke","doi":"10.1109/ICIT46573.2021.9453686","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453686","url":null,"abstract":"The ever-increasing need for real-time communication of factory processes in one hand, and the offered flexibility of wireless communication on the other, is pushing Time Sensitive Networking (TSN) evolution towards the wireless networks. By definition, wireless networks are non-deterministic due to their random channel access mechanism. In order to introduce TSN vision to the wireless world, such randomness needs to be controlled. In this paper, we implement a low-overhead beacon-based time synchronization mechanism that offers synchronization accuracy of as low as 10 µs, on average, for low beacon interval. Such accuracy is achieved by implementing a follow-up beacon packet, in addition to beacon mechanism itself, in order to account for any delays in sending beacons. The synchronization mechanism is tested in different intra and inter access point communication settings.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127992679","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}
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