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Online variability analysis of the total production of paper and board for process optimization

Reference number
Coordinator RISE INNVENTIA AB
Funding from Vinnova SEK 4 368 025
Project duration September 2017 - November 2019
Status Completed
Venture Strategic innovation programme for process industrial IT and automation – PiiA

Purpose and goal

The goal of the project is to develop, evaluate methodologies that allow for the analysis of the entire produced area in paper or board production. The methodologies are based on visual and infrared imaging. The data will be synchronised and converted into product property maps, which are then used to analyse the property variation. This allows for the identification of the origin of the variation.

Expected results and effects

Three methods of analysis were developed based on IR-measurements and data from six paper and board mills. Three applications were identified: process diagnostics to reduce variations, new method to reach the correct operating modes more quickly, and more accurate quality classification over the entire area produced. The first two improve product quality and process efficiency, thus reduce resource use. The latter enables new business based on information, to be used by customers, for easier and more resource efficient conversion, printing and packaging production.

Planned approach and implementation

Six mill trials have been planned and executed by a consortium consisting of RISE, six mills producing different products, ABB and KTH. Under collaborative expertise on surface inspection and quality control systems as well as signals and systems, methodology was developed to process and synchronize data and convert it into property maps. The resulting methodology was applied to varying degrees for the various mills, depending on their basis. Respective industry participants have since been given the opportunity to analyze the conditions for further implementation.

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 21 December 2019

Reference number 2017-02404

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