Jfe Steel Corporation

Takehide Hirata

Naoshi Yamahira

Kazuro Tsuda

Masafumi Matsushita

Toshiki Tsuboi

Takahiro Nishino

Kei Shomura

Akitoshi Matsui

Yoshinari Hashimoto

Ryosuke Masuda

Shugo Morita

Hidekazu Abe

Tatsuro Hayashida

Taiga Koriyama

Yohei Harada

Yukio Takashima

Tatsuhiro Sue

Tetsushi Nagano

Wataru Baba

Masahide Yajima

Provided are an abnormality diagnosis system and an abnormality diagnosis method that can prevent wrongly diagnosing equipment as having an abnormality when the equipment actually does not have an abnormality. An abnormality diagnosis systemcomprises a samplerand a calculatorThe calculatoris configured to: perform first abnormality determination of whether there is an abnormality based on a result of first principal component analysis; in the case where a result of the first abnormality determination is that there is an abnormality, and perform second abnormality determination of whether there is an abnormality based on a result of second principal component analysis; and in the case where a result of the second abnormality determination is that there is an abnormality, diagnose the equipment as having an abnormality.

Abnormality diagnosis system and abnormality diagnosis method

A process state monitoring device incudes a processor including hardware, the processor being configured to: separate two or more components from time series data of a value indicating a state of a process; compute a characteristic value from each of the separated components; and classify the state of the process on the basis of the computed characteristic values.

Process state monitoring device and process state monitoring method

A breakout prediction method includes: a step of inputting a dimension of a solid product withdrawn from a mold in a continuous casting machine; a step of detecting a temperature of the mold by a plurality of thermometers embedded in the mold; a step of executing interpolation processing on the detected temperatures detected by the plurality of thermometers according to the dimension of the solid product; a step of calculating, based on the temperatures calculated by executing the interpolation processing, a component in a direction orthogonal to an influence coefficient vector obtained by principal component analysis as a degree of deviation from during a normal operation in which a breakout has not occurred; and a step of predicting a breakout based on the degree of deviation.

Breakout prediction method, operation method of continuous casting machine, and breakout prediction device

Display screen or portion thereof with graphical user interface for a manufacturing process status diagnosis display device

A fine ratio measuring device that measures the fine ratio of fines adhering to the surface of the material in the form of lumps includes: an illumination unit that illuminates the material in the form of lumps; an imaging unit that captures an image of the material in the form of lumps and produces image data; and an arithmetic unit including a computation unit that computes a characteristic quantity of the image data produced by the imaging unit and a conversion unit that converts the characteristic quantity computed by the computation unit to the fine ratio.

Fine ratio measuring device and fine ratio measuring system

Provided are a raw material particle size distribution measuring apparatus and a particle size distribution measuring method. Also provided is a porosity measuring apparatus. The raw material particle size distribution measuring apparatus includes: a coarse particle measuring device that acquires information indicating the particle size distribution of the coarse particles; a fine particle measuring device that acquires information indicating the particle size distribution of the fine particles; and an arithmetic device that computes the particle size distribution of the coarse particles using the information indicating the particle size distribution of the coarse particles, computes the particle size distribution of the fine particles using the information indicating the particle size distribution of the fine particles, and computes an overall particle size distribution of the raw material using the particle size distribution of the coarse particles and the particle size distribution of the fine particles.

Raw material particle size distribution measuring apparatus, particle size distribution measuring method, and porosity measuring apparatus

A process anomalous state diagnostic device configured to diagnose an anomalous state of a process based on deviation indexes for the magnitude of deviation from a reference that is a normal state of the process includes: a color mapping unit configured to configure a two-dimensional matrix that has a first axis as an axis of a temporal factor including time and that has a second axis as an axis of an item of each deviation index, associate each cell of the matrix with data for an item of the deviation index and the temporal factor, and allocate a color in accordance with the magnitude of the deviation index to each cell of the matrix; and a color map display unit configured to display a color map produced by the color mapping unit.

Process anomalous state diagnostic device and process anomalous state diagnosis method

An abnormality detection method of detecting abnormality of a blast furnace from tuyere images shot by cameras installed in vicinities of a plurality of tuyeres of the blast furnace includes: collecting, in a time-series manner, representative brightness vectors defined by representative brightnesses determined based on brightness values of respective pixels for each of the tuyeres image previously shot by the cameras at a same time; extracting a principal component vector by performing principal component analysis on the representative brightness vectors collected in the time-series manner; calculating, as an evaluation value, a length of a normal line drawn in a direction of the principal component vector from the representative brightness vector collected from the tuyere images shot by the cameras at the same time during an operation; and detecting the abnormality of the blast furnace by comparing the evaluation value with a predetermined threshold.

Abnormality detection method and blast furnace operation method

Growing community of inventors

Tokyo, Japan

Takehide Hirata