Enter the next level

One big part of industry 4.0 is the introduction to big data. New sensors, actuators, and computational power will be introduced in new plants and existing plants. To minimize the environmental impact and the cost of the transformation, it would be great if the communication between the nodes could be done wireless. This article investigates how packaged loss and transmission delay could be handle in a wireless plant.

Some time ago, we presented a blog post where we discussed an efficient tool that we use internally for big-data projects: the Accelerator. In that post, we focused on the performance perspective, comparing it with Pandas. At that point, the features it was providing meant a big blast in the projects we developed, but it still required a bit of ingeneering effort for setup and configuration. Luckly, the developers of the project have spent a lot of time improving that caveat, providing a smooth installation path and therefore making it available to a much wider audience. In addition, latest version also includes some further improvements, like a new user interface that makes up for a better experience.

We often see the word 'fuel efficiency' being thrown around in our day-to-day life in places like pamphlets, brochures, or even advertisements. Just how important is fuel efficiency, and what pushes the automotive industry to strive towards greater fuel efficiency?

As part of Combine’s continued involvement in Ocean Data Factory Sweden, our team has collaborated with our partners to apply machine learning techniques to the compelling use case of underwater species detection in the Kosterhavet National Park on Sweden’s west coast.

A few years ago, Combine purchased a small submarine. This vehicle is connected to a workstation with a long ethernet cable and is known as a ROV (remotely operated underwater vehicle). During several projects, some degree of autonomous capability has been added to the vehicle, and we are planning to turn it into a fully AUV (autonomous underwater vehicle) in the future. Students from Linköping University have performed most of the developing work and the ROV has been the focus of both master’s theses and project courses. At this moment, we have eight students working on creating a digital twin with an associated simulation environment. The plan is to make the software development as efficient as possible, removing the drawback of needing a pool for every test. The ROV is also an excellent platform to show interested people how to work with model-based development and how to set up HIL (hardware-in-the-loop) testing.