Conference Gold Sponsor Linde Engineering– world leader in designing and engineering of petrochemical plants – will showcase a new virtual reality (VR) application simulating real petrochemical plant units. The technology was developed for training operators and can also be used to visualise design changes during the planning phase. It takes users on a realistic tour of a plant that Linde is currently building in the Amur region in Eastern Russia.
During the conference in Moscow in the exhibition area Linde Engineering will offer conference delegates to use virtual reality headsets and control console to explore all modules and see all valves and compressors under any angles. They would be able get inside of technological units, such as heat-exchange units, cryogenic units.
Users can put on a VR headset and use a hand-held controller to explore all of the module’s platforms and study its valves and compressors from every angle. They can even step inside process components such as heat exchangers and coldboxes – something that would not be possible in real life. In addition to making physical gestures, users can also use buttons on the controller to take small steps forward or even great leaps through the virtual world, enabling them, for example, to jump onto the 75-meter coldbox platform in just a split second. In a different mode, users can shrink the entire plant to the size of a human being. They can then view the plant from the outside or walk into it, bend down and look into all levels.
Virtual reality (VR) refers to computer technologies that simulate a real environment for users. Until now, it has been mainly associated with video gaming. A VR headset with an integrated 3D display gives players the feeling that they are actually present in the virtual world. Linde has now adapted this technology for the field of industrial-scale plant engineering.
This department focuses on using data intelligently to drive digitalisation across the company. It aims, for instance, to further improve Group-internal processes and develop new services for customers. Predictive maintenance is a prime example here. In future, Linde wants to be able to predict when a component is likely to fail. To do this, it uses algorithms to evaluate data that sensors have been gathering in industrial plants for many years now. Past service incidents can be used to calculate the probability of future events. Technicians could then replace individual components in advance and minimise downtime for the entire plant.