Pub Date : 2018-07-01DOI: 10.1109/INDIN.2018.8472088
C. Piciarelli, M. Vernier, Mattia Zanier, G. Foresti
Augmented reality (AR) systems are getting more and more popular in several application fields, such as medicine, education, cultural heritage, etc. The recent hardware development of AR-oriented smartglasses extends these applications to hands-free contexts, in which the user cannot hold a tablet or a smartphone device. An example of this scenario is the ARsupported technical training of human operators. In this paper, we propose an AR smartglasses-based system for the training of technical staff working on ship engine parts. The size of components and the impossibility to use fiducial markers led to the development of an ad-hoc detection and tracking algorithm to align virtual parts over the real-world images. The system is currently under evaluation by a large multinational company leader in the field of marine market.
{"title":"An augmented reality system for technical staff training","authors":"C. Piciarelli, M. Vernier, Mattia Zanier, G. Foresti","doi":"10.1109/INDIN.2018.8472088","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8472088","url":null,"abstract":"Augmented reality (AR) systems are getting more and more popular in several application fields, such as medicine, education, cultural heritage, etc. The recent hardware development of AR-oriented smartglasses extends these applications to hands-free contexts, in which the user cannot hold a tablet or a smartphone device. An example of this scenario is the ARsupported technical training of human operators. In this paper, we propose an AR smartglasses-based system for the training of technical staff working on ship engine parts. The size of components and the impossibility to use fiducial markers led to the development of an ad-hoc detection and tracking algorithm to align virtual parts over the real-world images. The system is currently under evaluation by a large multinational company leader in the field of marine market.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"112 1","pages":"899-904"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76749849","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8472069
Mikel Lopez, Jon Martin, U. Gangoiti, A. Armentia, Elisabet Estévez-Estévez, M. Marcos
Product oriented manufacturing is aligned with one of the Industry 4.0 trends consisting of integrating all production systems. This implies shifting from a traditional view of manufacturing processes focused on production line in order to reduce costs, to a more flexible and customized product manufacturing. On the other hand, Multi Agent Systems (MAS) have been proved to be a suitable way to fulfill these requirements. However, a key aspect of the use of novel technologies is to offer methodologies and tools for supporting the implementation of such systems. In this sense, this paper uses Model Driven Engineering and MAS technology to propose an architecture that is able to launch and execute a manufacturing execution plan. It focuses on the information models managed by architecture agents that can be customized to particular manufacturing plants as well as on the definition of agent templates.
{"title":"Supporting Product Oriented Manufacturing: a Model Driven and Agent based Approach","authors":"Mikel Lopez, Jon Martin, U. Gangoiti, A. Armentia, Elisabet Estévez-Estévez, M. Marcos","doi":"10.1109/INDIN.2018.8472069","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8472069","url":null,"abstract":"Product oriented manufacturing is aligned with one of the Industry 4.0 trends consisting of integrating all production systems. This implies shifting from a traditional view of manufacturing processes focused on production line in order to reduce costs, to a more flexible and customized product manufacturing. On the other hand, Multi Agent Systems (MAS) have been proved to be a suitable way to fulfill these requirements. However, a key aspect of the use of novel technologies is to offer methodologies and tools for supporting the implementation of such systems. In this sense, this paper uses Model Driven Engineering and MAS technology to propose an architecture that is able to launch and execute a manufacturing execution plan. It focuses on the information models managed by architecture agents that can be customized to particular manufacturing plants as well as on the definition of agent templates.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"33 1","pages":"133-139"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76414479","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8472027
G. Gonzalez-Filgueira, L. C. Couce
A wider knowledge of the oceans is necessary, therefore, Oceanography achieve a great future development. Within this research activity, oceanographic vessels are an important instrument. In its mission, they should be able to conduct investigations multipurpose, providing basic facilities for the development of disciplines such as Physical Oceanography, Chemical Oceanography, Biological Oceanography and Geological Oceanography. For the development of research campaigns, the ship should organize its configuration of equipment and services according to various scenarios: fishing, oceanographic, seismic, remotely operated vehicle (ROV) and acoustic. In all these vessels, the fixed or portable oceanographic winches are used to download, upload towing and instruments connected by cables, allowing to carry out research work at sea. In this work has been introduced a control system to manage a winch in vessels for a scientific purposes. The system has been designed like a cyber-physical system (CPS) with possibilities to interact with a systems multifunction by means distributed control system (DCS). It also a human-machine interface is disposed with a daily working and emergency program, accompanied by an information system supported by records and alarms to facilitate human decisions making if were necessary. Finally a SCADA is used to corroborate the functioning of the plant properly.
{"title":"Expert System of Winch in Oceanographic Vessels for Scientific Purposes","authors":"G. Gonzalez-Filgueira, L. C. Couce","doi":"10.1109/INDIN.2018.8472027","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8472027","url":null,"abstract":"A wider knowledge of the oceans is necessary, therefore, Oceanography achieve a great future development. Within this research activity, oceanographic vessels are an important instrument. In its mission, they should be able to conduct investigations multipurpose, providing basic facilities for the development of disciplines such as Physical Oceanography, Chemical Oceanography, Biological Oceanography and Geological Oceanography. For the development of research campaigns, the ship should organize its configuration of equipment and services according to various scenarios: fishing, oceanographic, seismic, remotely operated vehicle (ROV) and acoustic. In all these vessels, the fixed or portable oceanographic winches are used to download, upload towing and instruments connected by cables, allowing to carry out research work at sea. In this work has been introduced a control system to manage a winch in vessels for a scientific purposes. The system has been designed like a cyber-physical system (CPS) with possibilities to interact with a systems multifunction by means distributed control system (DCS). It also a human-machine interface is disposed with a daily working and emergency program, accompanied by an information system supported by records and alarms to facilitate human decisions making if were necessary. Finally a SCADA is used to corroborate the functioning of the plant properly.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"26 1","pages":"641-646"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87165411","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8471960
Hugo Tavares, Bruno Prado, K. Bispo, Daniel Oliveira Dantas
This paper presents the development of a non intrusive smart power meter capable of giving its users methods of remote management of electric power consumption information. It has as objectives the real-time monitoring of electric energy consumption using non-intrusive, with reduced size and low cost sensors, and the wireless management of the data. This meter can also be used as a module in other projects, by using the MQTT protocol. The emonLib library was used, allowing power factor measurement and compatibility with non-invasive current sensors. Communication between the power meter and the outer environment, was made through Wi-Fi technology, allowing observation of the data in real-time, either through Google Sheets, the HTTP web server hosted in ESP8266 module or on MyDevices Cayenne platform via MQTT protocol. As a case study of information provided by the meter, we use the prediction of the electricity bill. The smart power meter was tested in actual situations and using different kinds of loads, yielding to highly accurate measurements.
{"title":"A Non-intrusive Approach for Smart Power Meter","authors":"Hugo Tavares, Bruno Prado, K. Bispo, Daniel Oliveira Dantas","doi":"10.1109/INDIN.2018.8471960","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8471960","url":null,"abstract":"This paper presents the development of a non intrusive smart power meter capable of giving its users methods of remote management of electric power consumption information. It has as objectives the real-time monitoring of electric energy consumption using non-intrusive, with reduced size and low cost sensors, and the wireless management of the data. This meter can also be used as a module in other projects, by using the MQTT protocol. The emonLib library was used, allowing power factor measurement and compatibility with non-invasive current sensors. Communication between the power meter and the outer environment, was made through Wi-Fi technology, allowing observation of the data in real-time, either through Google Sheets, the HTTP web server hosted in ESP8266 module or on MyDevices Cayenne platform via MQTT protocol. As a case study of information provided by the meter, we use the prediction of the electricity bill. The smart power meter was tested in actual situations and using different kinds of loads, yielding to highly accurate measurements.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"16 1","pages":"605-610"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86218340","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8472065
I. Amihai, M. Chioua, R. Gitzel, A. Kotriwala, Diego Pareschi, Guruprasad Sosale, Subanatarajan Subbiah
We describe a machine learning approach for predicting machine health indicators two weeks into the future. The model developed uses a neural network architecture that incorporates sensor data inputs using gated recurrent units with metadata inputs using entity embeddings. Both inputs are then concatenated and fed to a fully connected neural network classifier. Furthermore, our classes are generated by clustering the continuous sensor values of the training data using K-Means. To validate the model we performed an ablation study in order to verify the effectiveness of each of the model’s components, and also compared our approach to the typical method of predicting continuous scalar values.
{"title":"Modeling Machine Health Using Gated Recurrent Units with Entity Embeddings and K-Means Clustering","authors":"I. Amihai, M. Chioua, R. Gitzel, A. Kotriwala, Diego Pareschi, Guruprasad Sosale, Subanatarajan Subbiah","doi":"10.1109/INDIN.2018.8472065","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8472065","url":null,"abstract":"We describe a machine learning approach for predicting machine health indicators two weeks into the future. The model developed uses a neural network architecture that incorporates sensor data inputs using gated recurrent units with metadata inputs using entity embeddings. Both inputs are then concatenated and fed to a fully connected neural network classifier. Furthermore, our classes are generated by clustering the continuous sensor values of the training data using K-Means. To validate the model we performed an ablation study in order to verify the effectiveness of each of the model’s components, and also compared our approach to the typical method of predicting continuous scalar values.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"257 1","pages":"212-217"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76291423","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 : 2018-07-01DOI: 10.1109/INDIN.2018.8472003
Qiyao Wang, Ahmed K. Farahat, Kosta Ristovski, Hsiu-Khuern Tang, Susumu Serita, Chetan Gupta
For many industrial and commercial operations,maintenance accounts for a large part of operating costs (e.g., 15%-60% of the total production costs in manufacturing plants). Even with maintenance cost being such a substantial part of the overall cost, maintenance managers have little visibility into whether maintenance expenditure is money well spent or not. They also do not have standard quantitative methods to answer even simple questions such as, does it make any difference if one does preventive maintenance every six months on a piece of equipment, or whether a particular maintenance action is improving the performance of an equipment or not. In this paper, we formally define the problem of estimating the effectiveness of a single or a group of maintenance actions, and propose a systemic way of solving the problem. We also present a benchmark to evaluate the proposed methods and demonstrate how they can accurately identify effective maintenance actions.
{"title":"What Maintenance is Worth the Money? A Data-Driven Answer","authors":"Qiyao Wang, Ahmed K. Farahat, Kosta Ristovski, Hsiu-Khuern Tang, Susumu Serita, Chetan Gupta","doi":"10.1109/INDIN.2018.8472003","DOIUrl":"https://doi.org/10.1109/INDIN.2018.8472003","url":null,"abstract":"For many industrial and commercial operations,maintenance accounts for a large part of operating costs (e.g., 15%-60% of the total production costs in manufacturing plants). Even with maintenance cost being such a substantial part of the overall cost, maintenance managers have little visibility into whether maintenance expenditure is money well spent or not. They also do not have standard quantitative methods to answer even simple questions such as, does it make any difference if one does preventive maintenance every six months on a piece of equipment, or whether a particular maintenance action is improving the performance of an equipment or not. In this paper, we formally define the problem of estimating the effectiveness of a single or a group of maintenance actions, and propose a systemic way of solving the problem. We also present a benchmark to evaluate the proposed methods and demonstrate how they can accurately identify effective maintenance actions.","PeriodicalId":6467,"journal":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","volume":"164 1","pages":"284-291"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73132535","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：