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Listen up! Data-driven predictive maintenance and operations

Reference number
Coordinator Arne Jensen AB
Funding from Vinnova SEK 3 670 000
Project duration October 2022 - December 2024
Status Completed
Venture Strategic innovation programme for process industrial IT and automation – PiiA
Call PiiA: Data analysis in process industrial value chains, spring 2022

Important results from the project

We achieved full target achievement even though plans and budgets have changed during the course of the project. We have learned a lot from the collaboration within the group and outside the group with others, especially experts in Germany and Italy who have proven to be extremely competent and complementary to ourselves. We have found that digitalization of district heating distribution is increasing rapidly but it is difficult to collaborate on user interfaces.

Expected long term effects

The need for modern data-driven maintenance is very important in all our utility industries, i.e. decentralized infrastructure that delivers electricity, heating, cooling, water, sewage, communication, gas, etc. The accumulated maintenance debt is enormous and we must find smart predictive methods to prioritize replacement and modernization.

Approach and implementation

AP1 plan fulfilled. Conflicts resolved. AP2, 20 meetings with foreign district heating companies and the process industry. AP3 fulfilled the goals but as stated in the researchers´ article, collaboration with other partners is difficult, Coopetition. Innovation ecosystem benefits from complementarity. AP4 has fulfilled the goals. Plan to migrate to a cloud solution has been delayed and instead more server capacity. AP5 – spread - Öresundskraft, Högskolan Halmstad and RISE..

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 7 February 2025

Reference number 2022-01483