FULL WEB DIRT MEASUREMENT FOR PULP AND PAPER, 19PaperCon
Currently, in many cases, the quality evaluation of the product has been based on remote lab measurements or other online measurement methods, with results being based on only small portions of the product area. Recently new methods have been introduced for analyzing very large numbers of target regions of a product in real-time, covering the measurement of the full product area or web. These new methods and measurements allow pulp and paper manufacturers to: (1) monitor the overall quality factors of a product online, (2) react immediately to improve the product manufacturing process, (3) evaluate the product quality of the entire web, and (4) classify the manufactured product based on specific customer requirements. This means huge savings compared to cases where a partial measurement result is used for downgrading the product quality, which may result in significant amounts of good quality product being downgraded, cut for broke, or returned by the customer. In this paper we discuss how accurate dirt detection hardware, imaging and classification algorithms, all play a crucial role in quality control and process improvement for pulp and paper production. It is becoming more critical than ever for web imaging systems to meet today’s demands for increased quality and runnability. With 100% web inspection for counting dirt, producers can reduce customer claims, develop new and select grades, increase market share and profitability.
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FULL WEB DIRT MEASUREMENT FOR PULP AND PAPER, 19PaperCon