A typical cargo ship that operates 24 h/day and 300 days a year uses about 95 % of its energy for propulsion. Fuel consumption for propulsion is 28 800 ton-MGO/year/ship, which translates to annual fuel expenses of $ 17 280 000 (Notteboom, T. and P. Carriou (2009)).
Running an industrial manufacturing operation is a massive undertaking consisting of complicated and intertwined processes. Managing each area well is crucial in running a successful business. One of these processes is data collection and management, which is boosted by the application of artificial intelligence.
The simulation of reality has developed vastly in the last decade, and the pace of the development is increasing. Virtual and augmented reality have become buzzwords and artificial intelligence (AI) is shaping up to change mankind for better or worse. Applications can be found in industry as well as in the gaming world. Where is simulation going and how will it shape our world?
Faster, better, and simpler are words that drive industry. Instant gratification and consumption are the order of the day. The more one knows about the world, the more one becomes aware of experiences that are missing. But what is an experience? What makes a trip more real than a simulation of the same trip? What is missing?
The birth of different realities
X Reality (cross reality / XR) encompasses multiple forms of artificial realities such as augmented reality, virtual reality and mixed reality.
With the digital revolution in society, security concerns are becoming increasingly prominent. Digitalisation remains, however, an opportunity above all else. This article briefly introduces Digital Security Theory and presents SAFESCAN, a digital security vulnerability assessment process that can identify vulnerabilities in industrial control systems (ICS).
Computational Fluid Dynamics (CFD) is being increasingly used in safety engineering to simulate toxic gas dispersion, fires, and explosions. Experimental studies in this area are dangerous, difficult, and expensive. They are also often confined to a relatively small scale compared with practical situations such as fires in chemical plants and explosions in coal mine tunnels.
In recent years, much noise has been made about digitalisation in the marine sector. The related development areas include, among others, autonomous navigation and steering for ships, as well as more advanced ship automation systems that ease the lives of crew and owners. In leveraging the benefits of digitalisation, data collection and analysis have become key focus areas.
With the industrial Internet of Things (IoT), the management of production and related production infrastructure are moving to a new level. Digital service products are becoming more common and will provide owners and users with a higher degree of control and more accurate product development information.
Industrial Internet, automation data processing, and cloud services.
Society is currently undergoing a digital revolution which, in addition to changes in our environment, is creating and transforming industrial business models and value chains. The Fourth Industrial Revolution will transform the Industrial Internet (IIoT) by connecting real-world machines and equipment to each other and the network.
The Internet and computing technology have changed our lives forever. With them they have brought an increased awareness that traditional learning methods no longer suffice. There is strong and growing demand for new learning methods that challenge us differently. Learning games can be used effectively to motivate different kinds of learners and can even change our way of thinking and acting.
Modern pedagogical trends include learning and teaching procedures that focus on developing learners’ skills instead of broadening their knowledge. According to these new approaches the teacher’s or educator’s mission is to guide learners instead of teaching them.
Automation in production and industrial environments can be interpreted as a multi-tiered structure where each level has its own specific tasks, characteristics and place. The highest level of information management concerns Enterprise Resource Planning (ERP) systems, under which there are Manufacturing Execution Systems (MES) and actual production process management systems, i.e. Distributed Control Systems (DCS). The entire structure can and should be built to be flexible so that it can be supplemented, if required, according to changing production requirements.
MES software and applications have been developed to supplement ERP systems and act in between ERP systems and process automation applications. For an automation system to operate optimally it is essential that data is able to flow smoothly and predictably from one system to another.