Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

DIgitalization of softwood chip quality variations

Reference number
Coordinator RISE Research Institutes of Sweden AB
Funding from Vinnova SEK 895 274
Project duration September 2021 - March 2024
Status Ongoing
Venture Strategic innovation programme for process industrial IT and automation – PiiA
Call PiiA: Data analysis in industrial value chains, spring 2021

Purpose and goal

The project target is to develop a method for continuous online characterization of softwood chip quality variations for process control and prediction of product properties.

Expected results and effects

As a result of the project, the expectation is to develop an industrial prototype for continuous characterization of softwood chip quality variations, as wood species (pine/spruce), moisture content, density, and bark content. Once it is possible to characterize the softwood chip quality variations online, it is expected to further improve the understanding of the wood chips impact on the end products quality variations and being able to further optimize the cooking conditions in order to achieve the max possible utilization of the raw material.

Planned approach and implementation

In the project, ScanChip® that measures chip size distribution online will be upgraded with a hyperspectral imaging NIR camera. The online, real time data on additional wood properties are to be managed through existing data management system (DCS, Winmops). The measured chip quality variations will be estimated based on imaging NIR spectroscopy. The aim is to develop robust NIR-models for characterization of the wood chip variations. The project is intended to be run during 12 months to be able to include all seasonal variation in wood deliverance as well as climatic condition.

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

Last updated 14 March 2023

Reference number 2021-02406

Page statistics