Toshiba Mitsubishi-electric Industrial Systems Corporation

Tmeic Corporation

Naoki Shimoda

Hiroyuki Imanari

Kazutoshi Kitagoh

Hiroyuki Jinnai

Kazuhiro Ohara

Haruki Inami

Yuki Okano

Mirei Kihara

Sanga Takagi

In preset calculation, a plurality of cooling banks are set to be feedforward or feedback banks, and each of water injection amounts in these banks is calculated. In cooling history management, a recalculation position for re-executing the feedback calculation is set. In feedback calculation, a temperature correction value for compensating a delay due to a conveyance time period from a position of the feedback bank to a position of a delivery side pyrometer, and a response delay of the feedback bank is calculated, when a segment reaches the recalculation position. In the feedback calculation, each of water injection amounts in the feedback banks that is calculated in the preset calculation is changed for each of segments based on a delivery side temperature target value, a delivery side temperature actual value calculated for each of the segments, a delivery side temperature prediction value that is recalculated, and the temperature correction value.

Control device for cooling apparatus

An abnormality determination support apparatus includes an analysis object data preparation unit, a primary determination unit, and a secondary determination unit. The analysis object data preparation unit acquires a time-series signal representing at least one of a state of the manufacturing facility and a product quality from a data collection apparatus of the manufacturing facility, and extracts analysis object data from the time-series signal. The primary determination unit derives a plurality of primary determination results from common analysis object data by applying a plurality of different types of analysis methods to the analysis object data extracted by the analysis object data preparation unit. The secondary determination unit includes a machine learning device.

Abnormality determination support apparatus

A temperature calculation method includes: dividing a cross section perpendicular to a longitudinal direction of a steel plate to be hot-rolled into a plurality of rectangular elements; and calculating a temperature of each of the rectangular elements using a finite difference method. A first regionthat includes an edge part of the cross section is divided such that a plurality of the rectangular elements are lined up in a plate-thickness direction and such that a plurality of the rectangular elements are lined up in a plate-width direction. A second regionthat includes a center of the cross section and is wider than the first regionis divided such that a plurality of the rectangular elements are lined up in the plate-thickness direction but the second regionis not divided in the plate-width direction.

Temperature calculation method, temperature calculation apparatus, heating control method, and heating control apparatus

In an energy-saving-operation recommending system, a total energy consumption of plural facilities during passage of one material to be rolled through a rolling line is calculated, and the total energy consumption is divided by a width and a length of the material to be rolled before rolling to calculate an energy consumption reference value that defines energy consumption per unit width and unit length of the material to be rolled. The energy consumption reference value is stored in association with a steel grade and a target post-rolling plate thickness of the material to be rolled. An energy consumption reference value corresponding to a steel grade and a target post-rolling plate thickness of a material to be next rolled on the rolling line is obtained. The energy consumption reference value is multiplied by a width and a length of the material to be next rolled to calculate predicted energy consumption.

Energy-saving-operation recommending system

An energy-saving control device for a rolling line, the energy-saving control device capable of finding rolling conditions for minimizing energy consumption for the rolling line while ensuring a quality of a product. The energy-saving control device for a rolling line includes: an energy consumption estimating unit that calculates energy consumption for the rolling line based on rolling conditions for the rolling line; and an energy consumption optimizing unit that changes a rolling condition other than a target temperature of a material to be rolled, as a manipulation item so that the energy consumption calculated by the energy consumption estimating unit is reduced while a quality of a product formed by rolling the material to be rolled is ensured.

Energy-saving control device for rolling line

A certain embodiment includes a predictive temperature calculator () for dividing a steel sheet () to be heated and rolled in a hot rolling mill () into elements shaped annular for each space cutting width from an outer periphery to a center in a section thereof, and changing a time increment width in accordance with boundary conditions, for use of a difference method to calculate a predictive temperature for each of the divided elements, and a controller () for operating on bases of predictive temperatures calculated by the predictive temperature calculator (), to determine control amounts for the hot rolling mill () to perform heating and rolling the steel sheet ().

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Tokyo, Japan

Naoki Shimoda