- All three finalists, Top Data Science, Altum and FiberLaboratory of XAMK, offered different valuable perspectives to the challenge. We will be happy to have them in our ecosystem, says Lars Maura, Head of Business Development at Siemens.
- Competition between the finalists was tough. In the selection criteria, the jury emphasized digital twin and IoT aspects, customer applicability, effects on business, and suitability to the forest industry vertical and the Siemens SIPAPER product family, explains jury member Timo Ropponen from Spinverse.
In forest industry, many plants are facing challenges to control product quality efficiently. The quality of the end products relies on how the production lines are operated. The challenge is how to help operators run the production lines in an optimal setup to produce the best quality products. By solving the problem, plants can minimize financial losses and increase customer satisfaction. Plants become more environmentally friendly by reducing the usage of unnecessary chemicals and materials.
In the Innovation Challenge, Tod Data Science proposed an Artificial Intelligence solution that reads the data from sensors in the production lines to predict the product quality in advance, to simulate multiple outcomes and to optimize the production process. The system operators can easily control the production processes via smart devices and have more time to focus on their professional work. The solution can run on an open IoT platform such as MindSphere as a microservice, which uses MindSphere’s components for data storage, computing resource, data connectivity, use authentication and authorization and APIs. The proposed solution has been validated and deployed in a real production line in a forest industry mill.
All the three finalists will be invited later to the Digital Fiber Day on October 23, 2019.