The fourth Maritime Industrial Revolution is driven by emerging and disruptive technologies. The key drivers for the coming decade are expected to be digitalization and decarbonisation leading to the emerging focus on connected smart ships, autonomous vessels and green shipping technologies. Emergent technologies offer opportunities for the maritime industry to become safer and more efficient while reducing its environmental footprint. This will transform the industry, changing its more traditional trading ecosystem. This will create a new range of opportunities for the Maritime Industry but will also create significant training and workforce challenges.
{"title":"FUTURE WORKFORCE AND TRAINING IN THE FOURTH MARITIME REVOLUTION","authors":"R. Westgarth, J. Rigby","doi":"10.3940/rina.mi.2019.07","DOIUrl":"https://doi.org/10.3940/rina.mi.2019.07","url":null,"abstract":"The fourth Maritime Industrial Revolution is driven by emerging and disruptive technologies. The key drivers for the coming decade are expected to be digitalization and decarbonisation leading to the emerging focus on connected smart ships, autonomous vessels and green shipping technologies. Emergent technologies offer opportunities for the maritime industry to become safer and more efficient while reducing its environmental footprint. This will transform the industry, changing its more traditional trading ecosystem. This will create a new range of opportunities for the Maritime Industry but will also create significant training and workforce challenges.","PeriodicalId":249358,"journal":{"name":"Internationnal Conference on Marine Industry 4.0","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126870306","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}
Given recent technological advances, small size UAV provide a suitable mean for accurate 3D modelling of sensible (maritime) infrastructures. Such models provide a valuable source of information in general port safety and security planning as well as emergency response operations. This aspect is particularly crucial as ports belong to a nation’s critical infrastructure, where its multiple supply chains and hinterland connections are sensitive to disruptions of any kind. Dealing with a rising number of disrupting externalities and increasing occupancy rates, ports have a constant need for affordable technological innovations with regard to risk management. Based on practical experiments, this paper reveals the possibility of generating realistic 3D models on the example of port facilities. It further reveals that initial states of a 3D model can be generated in a short timeframe, providing a valuable quick-response information source for first responder in emergency scenarios.
{"title":"AERO-TRIANGULATION AND PHOTOGRAMMETRY IN SENSIBLE INFRASTRUCTURES – HOW THE INDUSTRY BENEFITS FROM LOW-COST 3D MODELLING CONDUCTED BY UNMANNED AERIAL VEHICLES (UAV)","authors":"M. Stein","doi":"10.3940/rina.mi.2019.04","DOIUrl":"https://doi.org/10.3940/rina.mi.2019.04","url":null,"abstract":"Given recent technological advances, small size UAV provide a suitable mean for accurate 3D modelling of sensible (maritime) infrastructures. Such models provide a valuable source of information in general port safety and security planning as well as emergency response operations. This aspect is particularly crucial as ports belong to a nation’s critical infrastructure, where its multiple supply chains and hinterland connections are sensitive to disruptions of any kind. Dealing with a rising number of disrupting externalities and increasing occupancy rates, ports have a constant need for affordable technological innovations with regard to risk management. Based on practical experiments, this paper reveals the possibility of generating realistic 3D models on the example of port facilities. It further reveals that initial states of a 3D model can be generated in a short timeframe, providing a valuable quick-response information source for first responder in emergency scenarios.","PeriodicalId":249358,"journal":{"name":"Internationnal Conference on Marine Industry 4.0","volume":"380 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116636377","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}
Technologies are evolving faster than our ability to assimilate what we can do with them, but the potential is clear and the opportunity will be for those who identifies the right application of each technology. In the information era, we are literally swimming in an ocean of structured and not structured data and thanks to the evolution in the communications technologies, all that data are available everywhere for everyone. But data is not information. It is necessary to have the capability to analyse, extract conclusions and learn from it. Technologies as Big Data (BD) and the Artificial Intelligence (AI) are crucial for this purpose, but the intention of the treatment matters. Imagine how these technologies shall allow to engage the ship design by applying rules which will facilitate the design significantly, how the integration of the validation of the structural models by the Classification Societies will be linked directly by cloud applications. Imagine all the benefits of this two simple examples that can be implemented thanks to the potential of these technologies. The concepts that are absolutely clear from now to the future in shipbuilding is the use of Data Centric model and the concept of Digital Twin, a real and effective synchronization between what we design, what we construct, by covering the complete life cycle of the product thanks to technologies like IoT. It is important to understand how the new generations are immersed in a technological world in constant and rapid evolution. The way they interacts with this ecosystem will determine the way we should define the new rules of the CAD/CAM/CIM Systems. This paper examines different selected solutions describing practical use cases in ship design phase as an example of what IoT, BD or AI will represent for ship design and shipbuilding in the near future.
{"title":"PRACTICAL GUIDE FOR ADOPTING INDUSTRY 4.0 IN CAD SYSTEMS","authors":"J. A. Muñoz, R. Fernández","doi":"10.3940/rina.mi.2019.01","DOIUrl":"https://doi.org/10.3940/rina.mi.2019.01","url":null,"abstract":"Technologies are evolving faster than our ability to assimilate what we can do with them, but the potential is clear and the opportunity will be for those who identifies the right application of each technology. In the information era, we are literally swimming in an ocean of structured and not structured data and thanks to the evolution in the communications technologies, all that data are available everywhere for everyone. But data is not information. It is necessary to have the capability to analyse, extract conclusions and learn from it. Technologies as Big Data (BD) and the Artificial Intelligence (AI) are crucial for this purpose, but the intention of the treatment matters. Imagine how these technologies shall allow to engage the ship design by applying rules which will facilitate the design significantly, how the integration of the validation of the structural models by the Classification Societies will be linked directly by cloud applications. Imagine all the benefits of this two simple examples that can be implemented thanks to the potential of these technologies. The concepts that are absolutely clear from now to the future in shipbuilding is the use of Data Centric model and the concept of Digital Twin, a real and effective synchronization between what we design, what we construct, by covering the complete life cycle of the product thanks to technologies like IoT. It is important to understand how the new generations are immersed in a technological world in constant and rapid evolution. The way they interacts with this ecosystem will determine the way we should define the new rules of the CAD/CAM/CIM Systems. This paper examines different selected solutions describing practical use cases in ship design phase as an example of what IoT, BD or AI will represent for ship design and shipbuilding in the near future.","PeriodicalId":249358,"journal":{"name":"Internationnal Conference on Marine Industry 4.0","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121319971","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}
The concept of Digital Twins provides a conceptual way of improving the through life support of Marine platforms. The collation of machinery information through connected smart sensors and connectivity ashore enables advanced data analytics providing insights into the causes and trends for platform or fleet performance. The opportunities are vast however, the challenges are also considerable. Increased sensor connectivity similar to the Internet of Things can lead to considerable cyber security concerns, and the amount of information available will need to be presented to the user in a suitable but succinct manner possibly using visualisation technology. How this vision is brought together alongside legacy processes, tools and data centres is non-trivial but modern solutions and approaches make a Digital Twin possible.
{"title":"THE CHALLENGES AND OPPORTUNITIES FOR DEVELOPING DIGITAL TWINS TO SUPPORT MARITIME OPERATIONS","authors":"S. Willmore, G. Mercer, J. Rigby","doi":"10.3940/rina.mi.2019.05","DOIUrl":"https://doi.org/10.3940/rina.mi.2019.05","url":null,"abstract":"The concept of Digital Twins provides a conceptual way of improving the through life support of Marine platforms. The collation of machinery information through connected smart sensors and connectivity ashore enables advanced data analytics providing insights into the causes and trends for platform or fleet performance. The opportunities are vast however, the challenges are also considerable. Increased sensor connectivity similar to the Internet of Things can lead to considerable cyber security concerns, and the amount of information available will need to be presented to the user in a suitable but succinct manner possibly using visualisation technology. How this vision is brought together alongside legacy processes, tools and data centres is non-trivial but modern solutions and approaches make a Digital Twin possible.","PeriodicalId":249358,"journal":{"name":"Internationnal Conference on Marine Industry 4.0","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128219537","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}
Adoption of Internet of Things (IoT) technologies in the marine industry is accelerating and the applications result in a vast amount of data to be processed. By deploying edge computing, independent and autonomous decisions can be made by vessels and remote marine assets without relying on constant communication with servers on shore or in the cloud. This paper proposes a system architecture that enables condition monitoring of remote marine assets with higher performance, improved latency and reduced total cost of ownership.
{"title":"LIVING ON THE EDGE – A NEW PARADIGM FOR REMOTE MONITORING OF VESSELS AND MARINE EQUIPMENT","authors":"K. Rau","doi":"10.3940/rina.mi.2019.02","DOIUrl":"https://doi.org/10.3940/rina.mi.2019.02","url":null,"abstract":"Adoption of Internet of Things (IoT) technologies in the marine industry is accelerating and the applications result in a vast amount of data to be processed. By deploying edge computing, independent and autonomous decisions can be made by vessels and remote marine assets without relying on constant communication with servers on shore or in the cloud. This paper proposes a system architecture that enables condition monitoring of remote marine assets with higher performance, improved latency and reduced total cost of ownership.","PeriodicalId":249358,"journal":{"name":"Internationnal Conference on Marine Industry 4.0","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128522332","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}
Increased automation in the form of remote-controlled and partially autonomous operations are being tested around the world. This development is expected to create safer, more efficient, sustainable, and reliable maritime logistics chains that will enable more efficient ways of transport globally. Much of the digital transformation is happening in ecosystems. The maritime transformation and development are also collaborative efforts, as no single entity can make the transformation by themselves. One Sea is the leading industrial alliance in maritime autonomy that seeks to enable an autonomous maritime ecosystem by 2025. The alliance, founded in 2016, gathers together globally leading maritime actors, from equipment manufactures to ship owners and ICT companies. The paper introduces One Sea and its activities and the steps towards safe autonomous and remote-controlled maritime operations. It also addresses the recent achievements and practical examples of what One Sea partner companies have done in maritime autonomy.
{"title":"ONE SEA – ON THE ROAD TOWARDS AN AUTONOMOUS MARITIME TRANSPORT SYSTEM","authors":"P. Haikkola, J. Merenluoto","doi":"10.3940/rina.mi.2019.03","DOIUrl":"https://doi.org/10.3940/rina.mi.2019.03","url":null,"abstract":"Increased automation in the form of remote-controlled and partially autonomous operations are being tested around the world. This development is expected to create safer, more efficient, sustainable, and reliable maritime logistics chains that will enable more efficient ways of transport globally. Much of the digital transformation is happening in ecosystems. The maritime transformation and development are also collaborative efforts, as no single entity can make the transformation by themselves. One Sea is the leading industrial alliance in maritime autonomy that seeks to enable an autonomous maritime ecosystem by 2025. The alliance, founded in 2016, gathers together globally leading maritime actors, from equipment manufactures to ship owners and ICT companies. The paper introduces One Sea and its activities and the steps towards safe autonomous and remote-controlled maritime operations. It also addresses the recent achievements and practical examples of what One Sea partner companies have done in maritime autonomy.","PeriodicalId":249358,"journal":{"name":"Internationnal Conference on Marine Industry 4.0","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124030057","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}
B. Shabani, J. Lavroff, D. Holloway, S. Penev, D. Dessì, G. Thomas
An onboard monitoring system can measure features such as stress cycles counts and provide warnings due to slamming. Considering current technology trends there is the opportunity of incorporating machine learning methods into monitoring systems. A hull monitoring system has been developed and installed on a 111 m wave piercing catamaran (Hull 091) to remotely monitor the ship kinematics and hull structural responses. Parallel to that, an existing dataset of a geometrically similar vessel (Hull 061) was analysed using unsupervised and supervised learning models; these were found to be beneficial for the classification of bow entry events according to the kinematic parameters. A comparison of different algorithms including linear support vector machines, naïve Bayes and decision tree for the bow entry classification were conducted. In addition, using empirical probability distributions, the likelihood of wet-deck slamming was estimated given vertical bow acceleration thresholds.
{"title":"CLASSIFYING BOW ENTRY EVENTS OF WAVE PIERCING CATAMARANS IN RANDOM WAVES USING UNSUPERVISED AND SUPERVISED TECHNIQUES","authors":"B. Shabani, J. Lavroff, D. Holloway, S. Penev, D. Dessì, G. Thomas","doi":"10.3940/rina.mi.2019.06","DOIUrl":"https://doi.org/10.3940/rina.mi.2019.06","url":null,"abstract":"An onboard monitoring system can measure features such as stress cycles counts and provide warnings due to slamming. Considering current technology trends there is the opportunity of incorporating machine learning methods into monitoring systems. A hull monitoring system has been developed and installed on a 111 m wave piercing catamaran (Hull 091) to remotely monitor the ship kinematics and hull structural responses. Parallel to that, an existing dataset of a geometrically similar vessel (Hull 061) was analysed using unsupervised and supervised learning models; these were found to be beneficial for the classification of bow entry events according to the kinematic parameters. A comparison of different algorithms including linear support vector machines, naïve Bayes and decision tree for the bow entry classification were conducted. In addition, using empirical probability distributions, the likelihood of wet-deck slamming was estimated given vertical bow acceleration thresholds.","PeriodicalId":249358,"journal":{"name":"Internationnal Conference on Marine Industry 4.0","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132902593","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}
Christos Gkerekos, G. Theotokatos, L. M. Bujorianu, E. Boulougouris, D. Vassalos, B. Carballedo, S. McCluskey, T. Coats, R. Sloan
Several digitalisation technologies have recently emerged, reshaping organisations across various industries and sectors. Such technologies, commonly placed under the industry 4.0 umbrella term, include Internet of Things (IoT), cloud computing, blockchain, and Artificial Intelligence (AI). They aim to enable the data collection, exchange, processing, and automation to enable a system to make decisions autonomously. This paper presents IN 4.0 project, aiming to ease the adaptation and adoption of industry 4.0 practices and technologies in maritime sector companies in order to improve their competitiveness. This will be achieved through a four-pronged approach aiming to: analyse the current state-of-art as applied to other industries; define a protocol for the redefinition of workers’ tasks; investigate cost-reduction methods for the implementation of 4.0 technologies; and counsel businesses for the transformation of maritime SMEs to the 4.0 era. Special focus will be given to the training required to get workers acquainted with new technologies and competitive in this changing labour market. Recent progress and advances of the IN 4.0 project along with future plans are presented and discussed, thus revealing the expected future transformation of the maritime industry.
{"title":"DIGITALISATION IN THE UK MARITIME SECTOR: A STAKEHOLDERS’ PULSE CHECK","authors":"Christos Gkerekos, G. Theotokatos, L. M. Bujorianu, E. Boulougouris, D. Vassalos, B. Carballedo, S. McCluskey, T. Coats, R. Sloan","doi":"10.3940/rina.mi.2019.09","DOIUrl":"https://doi.org/10.3940/rina.mi.2019.09","url":null,"abstract":"Several digitalisation technologies have recently emerged, reshaping organisations across various industries and sectors. Such technologies, commonly placed under the industry 4.0 umbrella term, include Internet of Things (IoT), cloud computing, blockchain, and Artificial Intelligence (AI). They aim to enable the data collection, exchange, processing, and automation to enable a system to make decisions autonomously. This paper presents IN 4.0 project, aiming to ease the adaptation and adoption of industry 4.0 practices and technologies in maritime sector companies in order to improve their competitiveness. This will be achieved through a four-pronged approach aiming to: analyse the current state-of-art as applied to other industries; define a protocol for the redefinition of workers’ tasks; investigate cost-reduction methods for the implementation of 4.0 technologies; and counsel businesses for the transformation of maritime SMEs to the 4.0 era. Special focus will be given to the training required to get workers acquainted with new technologies and competitive in this changing labour market. Recent progress and advances of the IN 4.0 project along with future plans are presented and discussed, thus revealing the expected future transformation of the maritime industry.","PeriodicalId":249358,"journal":{"name":"Internationnal Conference on Marine Industry 4.0","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122648418","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：