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Method for predicting or controlling microbial status of a paper or board making process

A manufacturing process and microbial technology, applied in the process of adding pulp raw materials, testing organic pollutants in water, paper, etc., can solve the problems of declining quality of finished products, inability to mix pulp uniformly, and inability to extract representative samples, etc.

Active Publication Date: 2020-07-17
KEMIRA OY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is not possible to take a representative sample from the contents of a large broke / storage tower with a capacity of thousands of cubic meters due to the inhomogeneous mixing of the pulp inside the tower
And, microbial contamination in just one storage tower or a pulper can still cause problems in downstream processes and degrade the quality of the finished product within 20 minutes to hours after the contaminated pulp leaves the storage tower

Method used

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  • Method for predicting or controlling microbial status of a paper or board making process
  • Method for predicting or controlling microbial status of a paper or board making process
  • Method for predicting or controlling microbial status of a paper or board making process

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0079] Example 1. On-line calculation of risk levels for higher microbial activity in broke towers of board machines

[0080] Analysis of historical data indicates that the broke column studied in this example should be emptied once a day to prevent increased microbial activity in the column. The risk limit for the liquid level of the studied column is 20% and the predefined time is 1 day.

[0081] Connect the signal from the column level sensor to a programmable logic circuit (PLC) or industrial PC. The risk level is continuously calculated in the system (PLC or Industrial PC).

[0082] Calculations are based on timers that record time as seconds, minutes, hours or days. The timer gets online information on the column level every second. The timer resets the time to 0s when the column level drops to or below a predefined risk limit (20% or below). After resetting the time to zero, the timer will start recording the time again when the level exceeds the risk limit ( figur...

example 2

[0088] Example 2. Online calculation of risk levels for higher microbial activity in broke towers

[0089] Background: Analysis of historical data indicates that broke towers should be drained to or below a predefined surface level at least every 2.2 days to prevent increased microbial activity in the tower and further dry board quality issues.

[0090] Predefined risk limit for surface level: 25%

[0091] · Predefined time: 2.2 days

[0092] Connect the signal from the column level sensor to a programmable logic (PLC) or industrial PC. The risk level is continuously calculated in the system (PLC or Industrial PC).

[0093] The calculation of the risk level is based on a timer, which records time as seconds, minutes, hours or days, for example. The timer gets online information from the column level. The timer resets the time to 0 s when the column level falls or falls below a predefined risk limit (=eg, in this example, the level is 25% or the level is below 25%). After ...

example 3

[0100] Example 3: Board machine example: historical data analysis, risk limits with respect to broke tower and quality of dry finished product for a predefined time

[0101] Historical data includes online tower level information and bacterial spore counts (results of laboratory analysis) on dry cardboard. High-quality cardboard should contain few bacterial spores. In the mill, the maximum limit of spore count was set at 1000 CFU / g. Based on the analysis, the following parameters were found:

[0102] Risk limit for broke tower liquid level: 25%

[0103] · Predefined time: 2.2 days

[0104] Examples are shown in Figures 6 to 8.

[0105] When recorded for less than 2.2 days → low risk of high spore counts in finished product (usually results <1000CFU / g)

[0106] When the recording time exceeds 2.2 days → assess the risk of high spore counts in the finished product (higher than 1000CFU / g)

[0107] Figure 6a Data showing measured column surface level and spore count (CFU / g...

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Abstract

The present invention relates to a method for predicting the microbial status of a paper or board making process and / or quality of the dry board or paper obtained from said process and to a method forcontrolling microbial status of a paper or board making process or quality of the dry board or paper obtained from said process. Surface level and duration of time in at least one storage tower or pulper are monitored and correlated with respective predetermined values for said tower or pulper in order to predict the risk of microbial activity.

Description

technical field [0001] The present disclosure relates to a method for predicting the microbial status in a paper or board manufacturing process or for predicting the quality of dry board or paper obtained from said process, and for controlling the microbial status in a paper or board manufacturing process or controlling the microbial status from The method by which the quality of dry board or paper is obtained by the process. Background technique [0002] Water-intensive processes such as papermaking provide a fertile environment for microbial growth. Without proper control, microbial contamination can grow on paper machine surfaces as sticky deposits (biofilms), which can cause paper quality defects (spots, holes) or break the web, forcing the machine to stop for cleaning . Defects can lead to costly quality complaints from end users of the paper. Additional cleaning stops will result in lost production and less cost-effective papermaking. Bulk storage towers for water ...

Claims

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Application Information

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IPC IPC(8): D21C9/08D21H21/02D21H21/36D21D5/28D21G9/00D21H23/78D21C9/00
CPCD21H23/78D21B1/32D21B1/345D21C9/008D21C9/08D21D5/28D21G9/0018D21H21/02D21H21/36Y02W30/64G01N33/1826G01N33/34D21H23/08G01N35/00613G01N33/1806G01N33/343
Inventor 马尔科·科拉里玛丽亚塔·皮罗宁利兹·约恩苏
Owner KEMIRA OY
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