Toshiba Mitsubishi-electric Industrial Systems Corporation

Tmeic Corporation

Kazutoshi Kitagoh

Hiroyuki Imanari

Naoki Shimoda

Mitsuhiko Sano

Hiroyuki Jinnai

Yuki Okano

Sanga Takagi

Takahiro Onoda

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

When the tracking point reaches the i-th stand, the continuous rolling system outputs, to an i-th stand, a roll gap operation value for bringing to zero a difference between a value which is obtained by correcting a strip thickness target value of the i-th stand with a target strip thickness correction value of the i-th stand and a value which is obtained by correcting a strip thickness actual recalculation value of the i-th stand with a gap correction value of the i-th stand. Here, the gap correction value is a correction value that brings to zero a difference between a head end gap error when a head end of the material to be rolled reaches the i-th stand and a non-head end gap error when a part other than the head end of the material to be rolled reaches the i-th stand.

Continuous rolling system

In an endless rolling line, a speed of a material to be rolled changes with a flying thickness change. A temperature control device executes predictive calculation of a speed change amount of the material to be rolled associated with the flying thickness change and updates a speed pattern. The temperature control device executes feedforward control of an amount of a coolant to cool the material to be rolled based on a latest speed pattern and a measured temperature value of the material to be rolled in an entry side of the heat exchanger. In parallel with the feedforward control, the temperature control device executes feedback control of coolant volume based on an error between the measured temperature value of the material to be rolled in the delivery side of the heat exchanger and a target value.

Temperature control device for endless rolling line

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

The present invention includes (1) inputting, into a model expression that defines relation between various operating values of a facility operating on a material to be rolled and energy consumption of the facility, various actual operating values as the various operating values, to calculate an actual calculation value of the energy consumption; (2) dividing the actual value of the energy consumption by the actual calculation value to calculate a reference learning value of the energy consumption; (3) inputting the set operating value defined by the setting calculation unit only in one operating value, among various operating values of the model expression, while inputting the actual operating values collected by the actual value unit in other operating values to calculate a pseudo-actual calculation value of the energy consumption; (4) dividing the actual calculation value by the pseudo-actual calculation value to calculate a correction learning value; and (5) inputting the various set operating values as the various operating values of the model expression to calculate a prediction value of the energy consumption for the material to be rolled, which is scheduled to be conveyed to the rolling line next time or later, and multiplies the prediction value by the reference learning value and the correction learning value to calculate a corrected prediction value of the energy consumption.

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Tokyo, Japan

Kazutoshi Kitagoh