Machine-configurable AI for industrial tool wearand process monitoring

Important results from the project

The initial goals were met and can be summarized in the following results. The development of 1) new IPercept Smart IIoT Device and 2) the Process Load Monitoring solution which became part of IPercept business offering. In addition, the project contributed to the development of an improved data management structure capable of handling big data efficiently and contributed to the improvement of an existing product of machine utilisation tracking enabling to better monitor machine utilization.

Expected long term effects

In the long term, the developed tools and process monitoring solution are expected to provide to the users, financial and operational gains by improving part quality, machine utilisation and, reducing machine damage, downtime and machine costs, as well as environmental gains contributing to minimizing the environmental impact related to the consumed energy and materials.

Approach and implementation

The project followed the initial plan dividing the work in 5 work packages in order to handle complexity and variability for achieving the project goals. Work packages were: WP1 - Project management - definition of collaboration framework; WP2 - Market research and dissemination WP3 - Testing in a controlled environment - in collaboration with KTH WP4 - Algorithm development - in collaboration with KTH WP5 - Operational environment - pilot testing & training - in collaboration with Nord Lock