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.

A method for anomaly detection on a doctor blade of a papermaking machine includes obtaining doctor blade-related data, wherein the doctor blade-related data includes working condition data, status monitoring data, and design parameter data of the doctor blade, performing a predetermined data pre-processing on the doctor blade-related data to obtain a pre-processed data set, wherein the pre-processed data set includes processed data respectively corresponding to the working condition data, the status monitoring data, and the design parameter data; performing a predetermined feature extraction on the pre-processed data set, and fusing extracted features to obtain fused feature data; and analyzing the fused feature data based on different anomaly detection processes respectively, to perform a comprehensive anomaly detection on the doctor blade of the papermaking machine.

A method for evaluating a health status of a doctor blade of a papermaking machine includes obtaining doctor blade-related data, wherein the doctor blade-related data includes working condition data, status monitoring data, and design parameter data of the doctor blade, performing data pre-processing on the doctor blade-related data in a predetermined pre-processing manner to obtain a pre-processed data set, wherein the pre-processed data set includes processed data respectively corresponding to the working condition data, the status monitoring data, and the design parameter data. performing feature extraction on the pre-processed data set in a predetermined feature extraction manner, and processing extracted features to obtain processed feature data, and evaluating with respect to working condition, status monitoring, and design parameter respectively based on the processed feature data, to perform a comprehensive evaluation on the health status of the doctor blade of the papermaking machine.

A fibrous body accumulating device includes an accumulating section including a drum that introduces and releases a material including fibers, a detection section detecting a presence of the material in the drum, and an estimation section estimating an amount of the material in the drum based on a detection frequency at which the detection section detects the material. The fibrous body accumulating device further includes a storage section in which a calibration curve showing a relationship between the detection frequency and the amount of the material in the drum is stored, and the estimation section calculates information on the detection frequency and estimates the amount of the material in the drum with reference to the calibration curve.

An object is to provide a monitoring system capable of preventing the occurrence of a defect in paper by monitoring the device. The present invention is directed to a monitoring system A having a papermaking machine 1 for manufacturing paper X, an applying device 2 for applying a chemical solution to a site of the papermaking machine directly or indirectly in contact with the paper while the papermaking machine 1 is operated, a control panel 3 for setting an application condition of the applying device 2, a monitoring camera 4 for monitoring a monitoring target site, and a control device 5 connected to the monitoring camera 4 via a network. The monitoring target site is the site of the papermaking machine 1 directly or indirectly in contact with the paper X and/or the applying device 2, and the control device 5 has a computing unit S1 which converts a state of the monitoring target site into a numerical form by using video taken by the monitoring camera 4, a display unit S2 which displays detection data obtained by conversion into the numerical form at the computing unit S1, and a storage unit S3 which stores the detection data.

The disclosure is directed to techniques for tracking data associated with a creping process. The techniques include measuring process data, wherein the process data includes vibration data, and wherein measuring process data includes measuring vibration data of a creping blade using one or more vibration sensors. The techniques further include assigning a score for the process data, including assigning a vibration score for the vibration data. The techniques also include generating an index score based on the score for the process data and the vibration score for the vibration data.

A fibrous body accumulating device includes an accumulating section including a drum that introduces and releases a material including fibers, a detection section detecting a presence of the material in the drum, and an estimation section estimating an amount of the material in the drum based on a detection frequency at which the detection section detects the material. The fibrous body accumulating device further includes a storage section in which a calibration curve showing a relationship between the detection frequency and the amount of the material in the drum is stored, and the estimation section calculates information on the detection frequency and estimates the amount of the material in the drum with reference to the calibration curve.

The present invention aims to provide a method for analyzing a fiber structure comprising a fiber and inorganic particles. An analysis method according to the present invention is a method for evaluating a structure comprising a fiber and inorganic particles, said method comprising the steps of: (A) capturing a two-dimensional image of the surface of the fiber structure using a scanning electron microscope; (B) denoising the captured image by adjusting each contrast value; and (C) calculating the standard deviation of the contrast value after denoising.

An apparatus for measuring flowing suspension includes a radiation source that directs wave motion to the suspension, a flow causing particles of the suspension to be sorted by size. A measuring arrangement measures first values of a first parameter of the wave motion interacted with the suspension at a first wavelength band of the wave motion, and measures second values of at least one of the following: a second parameter of the wave motion interacted with the suspension, and the first parameter of the wave motion interacted with the suspension at a second wavelength band of the motion, the measurement of the first and second values being synchronized. The arrangement forms at least one comparison being configured to relate to one of the first and one of the second values, and forms a distribution with at least one of first values as a function of one of the comparisons.

A raw material supply device includes a plurality of supply portions for supplying the raw material, a detection portion for detecting a state of the supply portion, and a control portion for controlling the supply portion, in which when the plurality of supply portions are in a normal state, the control portion switches the supply portions at a predetermined timing, and causes each of the supply portions to supply the raw material.