Kemira Oyj

Iiris Joensuu

Marjatta Piironen

Mehrdad Hesampour

Lari Vähäsalo

Marko Kolari

Eija Korte

Vesa-Matti Tikkala

Torsten Haverinen-Nielsen

Roderick Abinet

Eija Saari

Jaakko Ekman

Kaj Jansson

Jukka-Pekka Sirviö

Aki Sorsa

Esko Juuso

Eila Piironen

Andy Bergeron

Travis Bjerketvedt

Tuija Suhonen

Pekka Ilmola

Seppo Tuomivaara

Lari VÄHÄSALO

Lari Vahasalo

Tapio Yrjanainen

The invention provides a control arrangement where the controller is arranged to drive the actuator utilizing automatically the explanation values. The control arrangement has a controller, which is arranged to drive an actuator. The control arrangement comprises also a setpoint controller, which is arranged to utilize deviations between explanation values of machine learning and normal explanation values of machine learning. The setpoint controller forms a setpoint value for the controller.

Controller

A method for monitoring hydrophobic particles contained in a pulp suspension, includes obtaining a sample from a pulp suspension or a filtrate of the pulp suspension. A fluorescent dye is added to the sample to stain particles in the sample. The sample is fractionated to obtain at least a first fraction and a second fraction, wherein the second fraction is a fiber fraction. The method includes for the obtained fractions, fluorescence emitted by the particles in the fractions, calculating an integral of the fluorescence measured for the fractions excluding the fiber fraction, and correlating the calculated integral of the fluorescence to the amount of acetone soluble material in the pulp suspension, and optionally measuring light scattering signal of the particles in at least first and second fractions.

Pulp quality monitoring

In a starch concentration measurement, a liquid sample is conducted from a liquid sample such as pulp suspension or filtrate of a paper, board or tissue process. An iodine solution is added to the sample, and a light absorbance or transmittance of the sample is measured at a wavelength longer than about 650 nm, for example longer than about 700 nm. The measured absorbance or transmittance of the sample is converted into the starch concentration of the sample by a predefined correlation between a starch concentration and a light absorbance or transmittance.

Method and system for determination of starch in a sample

The invention provides a way to monitor a process (). The invention utilizes explanation values. A ML model of the process is created. The ML model utilizes measurements from the process as inputs to the ML model and forms model outputs. The inputs are classified to groups in the. The explanation values are calculated for each input indicating contribution of the input to the model output/s, and a sum of the explanation values for each group are calculated. The calculated sums are monitored, each sum indicating status of the group in question.

Method and system for monitoring a process

In a water treatment system, a pretreatment chemical is added to water stream in a pretreatment process including a coagulation, flocculation and separation to reduce amount of dissolved and/or particulate matter in the water stream. Hydrophobic conditions in the water stream are monitored upstream or downstream from adding the pretreatment chemicals. Dosing of the pretreatment chemical to the water stream is controlled based on the monitored hydrophobic conditions. Thereby a membrane fouling in subsequent membrane filtration stage can be minimized.

Method and system for controlling hydrophobic conditions and fouling in water intensive processes

Estimating or predicting runnability or end product quality risk level for a pulp or papermaking process is disclosed. The method includes measuring hydrophobicity values of samples originating from a same aqueous process stream. A hydrophobicity measurement signal is produced of measured hydrophobicity values as a function of time. A risk level is calculated for the process. At least one mathematical index is calculated based on the hydrophobicity measurement signal, and optionally based on the amount of particles in the sample, other property of the aqueous stream and/or production data. The mathematical index and optionally the amount of the particles, other property, and/or production data is used as a risk indicator input in the calculation. Based on the risk level calculated for the pulp or papermaking process, the runnability and/or end product quality risk level for the pulp or papermaking process is indicated.

Estimating risk level in an aqueous process

A method to determine vapor phase corrosion load in paper and board manufacturing system is disclosed. The method allows optimizing oxidative biocide content in aqueous solutions, suspensions and slurries in the paper and board manufacturing system. The method is based on determination of redox values (rH) of the system during determined time period. A correlation between rH values exceeding a predetermined rH threshold values and corrosion load provides an estimate of increased or decreased corrosion load and allows timely changes to biocide dosage.

Method for estimating the vapor phase corrosion load

The invention concerns an online method and system for monitoring properties of an aqueous stream of an industrial process. The method comprises providing an initial aqueous stream originating from said process, the aqueous stream containing solid matter exhibiting a first settling behavior; adding modifying agent to the initial aqueous stream at an addition rate sufficient to provide a modified aqueous stream containing solid matter exhibiting a second settling behavior different from the first settling behavior; conducting a sample of the initial aqueous stream or modified aqueous stream, any combination stream comprising the modified aqueous stream or any substream of the modified aqueous stream batchwise from a sampling point to a settling vessel having a volume; and measuring the settling behavior of the solid matter in the sample locally in the settling vessel as a function of time. The invention can be used for efficient monitoring and, optionally, controlling the degree of agglomeration of pulp and paper or board manufacturing processes.

Method and system for monitoring properties of an aqueous stream

A sample of an aqueous stream is conducted to an optical measurement device. A hydrophobic dye is added. The sample is fractionated into fractions according to particle size or mass. Fluorescence intensity values and light scattering intensity values for the fractions are measured. Fluorescence intensity values of the fractions are added together thus obtaining a sum of the fluorescence intensity values. Light scattering intensity values of the fractions are added together, thus obtaining a sum of the light scattering intensity values. A hydro-phobicity density of the particles in the sample, is calculated by dividing the sum of the fluorescence intensity values with the sum of the light scattering intensity values. A concentration of hydrophobic contaminants in the aqueous stream is monitored and controlled based on the calculated hydrophobicity density of the particles in the sample.

Monitoring and controlling hydrophobic components in a pulp process

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

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

A method and apparatus for monitoring deposit formation in a process having an aqueous flow is provided. According to exemplary embodiments, a feed flow of an aqueous liquid is provided onto a receiving surface to be monitored. At least part of a receiving surface is illuminated with at least one light source. Visual data is collected across the receiving surface and analyzed. The quality and type of deposition attached to the receiving surface is classified based on information obtained from the analyzed visual data, and a quantitative scaling and/or fouling indication is computed based on the classification.

Method and an apparatus for monitoring and controlling deposit formation

Methods and systems are disclosed for optimization of coagulation and/or flocculation in a water treatment process. According to exemplary embodiments, samples are taken from an aqueous liquid and the samples are monitored with an imaging device to capture visual data of particles dispersed or suspended in the liquid. The particles are classified into particle types based on the visual data and a particle size distribution indication is computed for each classified particle type. The particle size distribution indication is then compared to a predetermined particle size distribution value, and in response to a difference detected, dosage of at least one coagulation and/or flocculation agent in the water treatment process can be adjusted.

Method and system for optimization of coagulation and/or flocculation in a water treatment process

The invention concerns a method and system for analyzing a liquid sample containing solid matter. The method comprises fractionating the sample according to particle sizes and/or masses of the solid matter so as to produce sample fractions, and measuring at least one physical or chemical property of at least one of said sample fractions. According to the invention the sample is conducted to a disintegration channel having one or more depressions, and a liquid flow having a non-constant temporal velocity profile is applied through the disintegration channel, in order to gradually take solid matter of the sample with the liquid flow from said one or more depressions for providing said sample fractions. The invention allows for efficient fractionation of samples, which cannot be fractionated using conventional field flow fractionation, for example.

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Espoo, Finland

Iiris Joensuu