Today paper is to find everywhere, and the production factories always need to increase the productivity if they want to stay competitive. Stora Enso Kvarnsveden has one of the biggest magazine paper machines in the world, which produces around 1900 meters of paper per minute. The production process is highly automatized, which reduces the number of operators that work on the machine. Still, process variations can cause brakes in the paper web and lead to loss of income, energy and paper production. It may also have a direct impact on the paper quality. This report is focusing the following question: How to keep the Paper Machine production process under controlled conditions? To make a data analysis fully relevant, we need to use the most important variables of the machine. By analyzing these data some unexpected behavior and variation of process values can be pointed out. The analyzing tool needs to be fast and portable, and therefore a software system has been developed. By comparing process data with reference data this software can make a powerful analysis. The created software is intended to be used either by operators or engineers. The most important results are collected in a file. In this text file, the comparison function gives the results which are stored in a CSV-format. Furthermore, an auto-update function allows the users to run it automatically. Graphical presentations are supporting the interpretation of the results.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:du-28781 |
| Date | January 2018 |
| Creators | Gerardi, Marcelin, Namsrai, Miki |
| Publisher | Högskolan Dalarna, Energiteknik, Högskolan Dalarna, Energiteknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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