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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 Ongoing
Venture Strategic innovation programme for process industrial IT and automation – PiiA
Call PiiA: Data analysis in process industrial value chains, spring 2022

Purpose and goal

The purpose is to increase use of data for predictive maintenance and optimized operation. Based on two leading asset owners and users, their needs, better methods, analysis tools and decision support will be developed. The strategy is to establish an innovation ecosystem, of independent tech providers complementing each other for broader customer value than what each one delivers. The goal is that data is integrated by several adjacent technology suppliers and integration of others data or alternatively develop own customer interface with the help of others.

Expected results and effects

The expected result of the project is an increased collaboration between different, small, fragmented technology suppliers with isolated proprietary technology, which gives the effect of clearer and increased customer benefit, with district heating and other process industries as end customers.

Planned approach and implementation

Conceptual arrangement is based on facility owners/users, technology suppliers, complementary participating in the project, together with consulting researchers. The internal group turns outwards for external collaboration. Implementation is managed in five work packages: Project management, User perspective (incl. gender), External search for partners, Internal development as back-up, and Dissemination to others, via IEA and national industry associations.

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 24 October 2022

Reference number 2022-01483

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