KR101541572B1 - Optimization device, optimization method, and optimization program recording medium recorded - Google Patents

Abstract

The present invention optimizes the control of the rolling facility so as to minimize the amount of optimization index desired to be optimized while securing the product quality of the rolled material. A setting calculation section (31) for calculating a control setting value for rolling the rolled material by the rolling device, and a control section for predicting the material of the rolled material rolled by the rolling device on the basis of the control setting value calculated by the setting calculation section Based on the control setting value calculated by the setting calculation unit 31, an optimization index amount calculating unit 32 for calculating an optimum index amount used for rolling the rolled material by the rolling apparatus, The optimization index calculation unit 36 calculates the optimization index calculated by the optimization index calculation unit 36 to a minimum value within a range in which the material predicted by the material prediction calculation unit 32 satisfies the externally input required material And a control setting value to the setting calculation section 31 based on the control setting value.

Description

OPTIMIZATION DEVICE, OPTIMIZATION METHOD, AND OPTIMIZATION PROGRAM RECORDING MEDIUM RECORDED BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an optimization apparatus,

The present invention relates to an optimization apparatus, an optimization method, and an optimization method for optimizing the control of a rolling facility so as to minimize the optimization index amount (index amount) while ensuring the product quality of the rolled material when rolling the rolled material in a rolling facility Program.

Examples of rolling facilities for rolling metal materials include hot plate rolling facilities for manufacturing steel plates (hereinafter referred to as steel plates), heavy plate rolling facilities, cold rolling facilities, rolling mills for steel bars, rolling facilities for bars and rods, , Copper rolling equipment.

For example, in the hot strip rolling facility, a steel material having a rectangular parallelepiped shape called a slab is heated in a heating furnace 101 at about 1200 DEG C and subjected to rough rolling with a roughing mill to obtain a bar having a thickness of about 30 to 40 mm . At this time, the bar may be heated by the bar heater. Thereafter, the hot strip rolling facility rolls the roughly rolled bars to a thickness of 1.2 to 12 mm in a finishing mill. Next, the hot strip rolling equipment is cooled to about 500 to 700 DEG C by a water cooler, and finally wound up as a coil by a winder. Here, each time the slab passes through each step of rolling, the designation method is changed to bar, coil, and the like. Hereinafter, the slab is unified under the name of a rolled material.

As described above, the hot strip rolling facility can secure a constant quality, that is, a target material, by being heated at a predetermined temperature in the heating furnace while being deformed by the rolling mill while conveying the rolled material, It is necessary to predict the material of the product and determine each control value in the hot strip rolling facility on the basis of this prediction.

For example, Patent Document 1 discloses a method of heating, rolling, and cooling (rolling) from a steel material component value before rolling and a steel material size (thickness, width, length) after rolling and a steel material guarantee value (tensile strength, yield point, toughness) A material predictive control method of a steel plate for obtaining a predetermined process condition of a steel plate is proposed.

In addition, while high quality is required, the energy consumed by heating at high temperatures also increases. Due to the recent global environmental problems and the energy situation in Japan, reduction of energy consumption in hot strip rolling facilities is strong Is desired.

Thus, for example, as an energy saving countermeasure, an energy saving method of lowering the roll rotation speed in a so-called idle time for a time not to be rolled by a rolling mill is generally performed. Further, since a large amount of cooling water, oil in the hydraulic system and air of the blower are used in the rolling mill, energy conservation is required in the algebraic control of the pump for supplying water, oil and air to the rolling mill, Energy conservation methods are generally well known.

For example, Patent Document 2 discloses a method in which the heating furnace extraction temperature, which is higher than the AR3 transformation point corresponding to the chemical analysis of each rolled material, the exit thickness of each pass of rough rolling to reduce power roast, A rolling method for setting the outlet temperature of the above-mentioned finishing mill has been proposed.

Japanese Patent No. 2509481 Japanese Patent Application Laid-Open No. 58-119404

However, in the rolling method described in Patent Document 2, even if the heating furnace extraction temperature is set to the heating furnace extraction temperature which is higher than the AR3 transformation point at the finishing out side (outlet side) temperature, in the case where there is a factor influencing the final material other than the transformation, There is something that can not be done.

As factors affecting the final material other than the transformation, for example, the recrystallization rate of each pass affecting the final grain diameter and the recrystallization rate of each pass affecting the grain diameter, And the size of the precipitate. Since the past hysteresis from the heating furnace to the finishing and exiting side influences the change of the metal structure, it is necessary to set the rolling condition in consideration of the change of the metal texture in order to secure the final material.

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and it is an object of the present invention to provide an optimization apparatus, an optimization method, and an optimization program that optimize control of a rolling facility so as to minimize the amount of optimization index desired to be optimized while ensuring product quality of the rolled material The purpose.

In order to achieve the above object, a first aspect of the optimization apparatus according to the present invention is that the rolling apparatus includes: a setting calculation section for calculating a control set value for rolling a rolled material; A material predicting unit for predicting the material of the rolled material rolled by the rolling apparatus based on the control setting value calculated by the setting calculation unit, An optimization index calculation unit for calculating an optimization index of the material that is predicted by the material predicting unit based on the optimization index calculated by the optimization index calculation unit, And the control setting value that minimizes the amount of the control set value is calculated by the setting calculation section.

In order to achieve the above object, a second aspect of the optimization apparatus according to the present invention is that the optimization index calculation unit calculates the optimum index value based on the control setting value calculated by the setting calculation unit, The amount of energy to be used is calculated as the amount of optimization index.

In order to achieve the above object, a third aspect of the optimization apparatus according to the present invention is characterized in that the optimizing unit is configured such that the processing amount of the rolled material rolled by the rolling apparatus satisfies an externally input required processing amount, The optimization index amount necessary for rolling the rolled material of the processing amount calculated by the optimization index amount calculation section within a range in which the material of all rolled materials predicted by the optimization index calculation section satisfies the externally input required material And the control setting value to be minimized is calculated by the setting calculation section.

In order to achieve the above object, a first aspect of the optimization method according to the present invention is characterized in that the rolling apparatus includes a setting calculation step of calculating a control set value for rolling the rolled material, and a control setting value calculated by the setting calculation step On the basis of the control set value calculated by the setting calculation step, a material predicting step of predicting the material of the rolled material rolled by the rolling apparatus on the basis of the index An optimization index value calculation step of calculating an optimization index value calculated by the optimization index calculation step in a range that satisfies the material to be input externally inputted by the material predicted by the material prediction step, And the control step of calculating the control setting value that minimizes the amount The.

In order to achieve the above object, a second aspect of the optimization method according to the present invention is characterized in that the optimization index calculation step includes a step of calculating, based on the control setting value calculated by the setting calculation step, And the use energy as the energy required for rolling is calculated as the optimum index.

In order to achieve the above object, a third aspect of the optimization method according to the present invention is characterized in that the optimization step is a step of optimizing the rolling amount of the rolled material rolled by the rolling apparatus, The optimization index value calculating step calculates the optimization index value necessary for rolling the rolled material of the processing amount calculated by the optimization index calculation step within a range in which the material of all rolled materials predicted by the step satisfies the externally input required material Is calculated by the setting calculation step.

In order to achieve the above object, a first aspect of the optimization program according to the present invention is a program for causing a rolling apparatus to calculate a control set value for rolling a rolled material, On the basis of the control set value calculated by the setting calculation step, a material predicting step of predicting the material of the rolled material rolled by the rolling apparatus on the basis of the index An optimization index value calculation step of calculating an optimization index value calculated by the optimization index calculation step in a range that satisfies the material to be input externally inputted by the material predicted by the material prediction step, The control step of calculating the control setting value by the setting calculation step, Which it is being run.

In order to achieve the above object, a second aspect of the optimization program according to the present invention is characterized in that the optimization index calculation step includes a step of calculating, based on the control setting value calculated by the setting calculation step, And the use energy as the energy required for rolling is calculated as the optimum index.

In order to achieve the above object, according to a third aspect of the optimization program according to the present invention, in the optimization step, the processing amount of the rolled material rolled by the rolling apparatus satisfies an externally input required processing amount, The optimization index value calculating step calculates the optimization index value necessary for rolling the rolled material of the processing amount calculated by the optimization index calculation step within a range in which the material of all rolled materials predicted by the step satisfies the externally input required material Is calculated by the setting calculation step.

According to the optimization apparatus, optimization method, and optimization program of the present invention, the control of the rolling facility can be optimized so as to minimize the amount of optimization index desired to be optimized while securing the product quality of the rolled material.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a configuration diagram showing a configuration of a hot rolling system to which an optimizing device according to a first embodiment of the present invention is applied; FIG.
2 is a configuration diagram showing the configuration of a CPU included in the optimization apparatus according to the first embodiment of the present invention;
3 is a view for explaining an example of energy consumed by the rolling material;
Fig. 4 is a diagram showing an example of classification of energy consumed for each facility; Fig.
5 is a flowchart showing the flow of processing by the optimizing apparatus according to the first embodiment of the present invention.
6 is a configuration diagram showing the configuration of a CPU included in the optimization apparatus according to the second embodiment of the present invention;
7 is a flowchart showing the flow of processing by the optimization apparatus according to the second embodiment of the present invention.
8 is a view showing an example of the end determination of the iterative calculation for optimization when each optimization index in the optimization apparatus according to the second embodiment of the present invention is selected.
9 is a flowchart showing a processing flow by the optimization apparatus according to the third embodiment of the present invention.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the optimization apparatus according to the present invention will be described with reference to the drawings.

≪ First Embodiment >

«Configuration»

1 is a configuration diagram showing the configuration of a hot rolling system to which an optimizing device according to a first embodiment of the present invention is applied.

1, the hot rolling system 300 includes an optimizing apparatus 1 according to the first embodiment, a hot rolling apparatus 100 for rolling hot rolled material, a hot rolling apparatus 100 The optimizing device 1 is connected to the control device 200. The control device 200 is connected to the control device 200, Arrows in Fig. 1 indicate the conveying direction in which the rolled material 150 rolled in the hot rolling apparatus (hot rolling line) is conveyed. Generally, the rolled material 150 is also referred to as a slab, a bar, and a coil in the process of rolling in a hot rolling apparatus, but here, the rolled material 150 is referred to as a rolled material 150.

1, the hot rolling apparatus 100 includes a heating furnace 101, a primary descaler 103, a rough furnace 105, a rough rolling mill 107, Side temperature meter 113, a crop shear 115, a secondary descaler 117, and the like, as well as a side plate thickness meter 109, a bar heater 110, a feed side thermometer 111, a finishing inlet side thermometer 113, A finishing output side thermometer 125, a flatness gauge 127, a run-out table 129, and a coiler side thermometer 125. The finishing mill 119, the finishing exit platoon 121, the multi gage 123, A coil 131, a coiler-side plate counter 133, and a coil 135. [

The heating furnace 101 is a furnace for heating the rolled material 150.

The primary scaler 103 removes the oxide film formed on the surface of the rolled material 150 by heating the heating furnace 101 by injecting high pressure water in the vertical direction of the rolled material 150. [

The hopper 105 performs rolling in the width direction of the rolled material 150 as viewed in plan view on the hot rolling line.

The rough rolling mill 107 is provided with a single or a plurality of stands and performs rolling in the vertical direction of the rolled material 150. Since the roughing mill 107 needs to shorten the line length from the viewpoint of prevention of temperature drop and the like and also requires rolling by multiple passes (reciprocating motion in the conveying direction), the rough rolling mill In many cases. The roughing mill 107 also has a descaler for spraying high-pressure water onto the rolled material 150, which is a semi-finished product, to remove the oxide film on the surface. Since rolling is performed at a high temperature, an oxide film tends to be formed, and it is necessary to appropriately use an apparatus for removing such an oxide film.

The sheet thickness meter 109 on the feeding side measures the sheet width of the rolled material 150 as a semi-finished product during rolling.

The bar heater (110) warms the rolled material (150) rolled by the roughing mill (107).

The feeding-side thermometer 111 measures the surface temperature of the rolled material 150 as a semi-finished product during rolling.

The finishing inlet temperature thermometer 113 measures the surface temperature of the rolled material 150 at the inlet of the finishing mill 119 because the distance between the roughing mill 107 and the finishing mill 119 is long.

The crimps 115 cut the tip end of the rolled material 150.

Since the distance between the rough rolling mill 107 and the finishing mill 119 is long, the secondary descaler 117 is provided at the entrance of the finishing mill 119, and the surface roughness of the rolled material 150 after the finish rolling The oxide film formed on the surface of the rolled rolled material 150 is removed by spraying high pressure water in the vertical direction of the rolled material 150. [

The finish rolling machine 119 employs a tandem type in which a plurality of rolling rolls called a stand are installed in a plurality of rows and is rolled in a vertical direction by a plurality of rolling rolls to obtain a rolled material 150 having a target thickness. Between the stand and the stand of the finish rolling mill 119, a spray is provided to suppress formation of an oxide film and to control the temperature.

The finishing exit plate descender 121 measures the plate thickness of the rolled material 150 rolled by the finishing mill 119.

The multi-channel gauge 123, which is a type of X-ray measuring instrument, has an X-ray detector arrayed in the width direction of the rolled material 150 and can measure the plate thickness distribution in the width direction , Plate thickness, crown, plate width, and so on.

The finishing output thermometer 125 measures the surface temperature of the rolled material 150 after rolling by the finishing mill 119. The temperature of the rolled material 150 is closely related to the formation and the material of the metal structure of the product and needs to be controlled at an appropriate temperature.

The flatness meter 127 measures the flatness of the rolled material 150 after the rolling by the finishing mill 119. The flatness meter 127 is provided with a plurality of CCD cameras, and the width of the rolled material 150 can be measured.

The run-out table 129 is a device for cooling the rolled material 150 with cooling water to control the temperature of the rolled material 150. [ Some of them include a forced cooling device before and after the normal runout table cooling device.

The coiler input thermometer 131 measures the surface temperature of the rolled material 150 cooled by the run-out table 129. The temperature of the rolled material 150 is closely related to the formation and the material of the metal structure of the rolled product and needs to be controlled at an appropriate temperature.

The coiler-side plate thickness meter 133 measures the plate width of the rolled material 150 cooled by the run-out table 129. In the normal rolling, since the rolled material 150 heated up to the austenite region is transformed into a structure such as ferrite or pearlite in the run-out table 129, the plate width after transformation is measured. Since it is measured at a temperature close to room temperature since it is about 860 DEG C at the exit of the finishing mill 119 and about 600 DEG C at the entrance of the coil 135, The width of the panel can be measured.

The coiler 135 is wound to carry the rolled material 150.

The control device 200 performs dimensional control and temperature control of the rolled material 150 as quality control for ensuring the quality of the rolled material 150 as a product.

The control device 200 includes, as dimensional control, plate thickness control for controlling the plate thickness at the widthwise central portion of the rolled material 150, plate width control for controlling the plate width, plate crown control for controlling the width direction plate thickness distribution, The flatness control for controlling the elongation of the extending members 150 in the width direction is performed.

The control device 200 performs finishing outlet temperature control for controlling the temperature at the outlet of the finishing mill 119 and coiling temperature control for controlling the temperature before the coiler 135 as temperature control.

What is important in determining the product quality of the rolled material 150 is the setting calculation or quality control that calculates the control set value. In the setting calculation, for example, before the rolled material 150 is transferred to the rough rolling mill 107 and the finish rolling mill 119, the roll gap and the roll speed of the rolling roll are calculated in advance by an initial calculation, (Passing plate) is secured. The initial setting of the cooling water of the finishing mill 119 and the initial setting of the winding temperature control need to be performed appropriately in advance.

For example, in the width control, there is a temperature fluctuation of the rolled material 150 as disturbance which hinders the improvement of the plate thickness precision. The rolled material 150 heated in the heating furnace 101 may have a low temperature part called a skid mark due to the structure of the heating furnace 101. [ Since the low temperature portion is hard, the plate thickness becomes thick and the plate width also changes.

Here, the relationship between the temperature and the quality of the rolled material 150 will be described. If the rolled material 150 is not sufficiently heated in the heating furnace 101, the skid marks become noticeable and the sheet thickness deviation in the conveying direction of the rolled material 150 appears in the period (period) of the skid marks.

Particularly, when microalloy steel is used as the material of the rolled material 150, it is feared that the expected microalloy effect can not be obtained due to the change in the extraction temperature from the heating furnace 101. [ Microalloy steel is a steel in which microalloys such as niobium and vanadium are added and the structure is refined. Plates and hot-rolled steels used for ships and pipelines require high strength, toughness, weldability, and processability.

(Controlled cooling) by controlling the austenite state (controlled rolling) by appropriately adjusting the conditions of the hot rolling and by quenching (controlled cooling) in the austenite-ferrite transformation temperature region after controlled rolling, , And TMCP (Thermo Mechanical Control Process) for making the ferrite structure finer.

Microalloys such as niobium and vanadium increase the effect of TMCP. As an effect thereof, for example, in a heating step such as the heating furnace 101, the growth of crystal grains is suppressed by the pinning effect of the precipitate. In the rolling step of the rough rolling mill 107 or the finish rolling mill 119, recovery and recrystallization are inhibited by a solute drag effect by a solid solution element and a pinning effect of a precipitate by processing. , Precipitation of ferrite in the particles is promoted, and the ferrite particles are refined. Further, in the cooling step such as the run-out table 129 and the like, strength of the final product is improved due to precipitation strengthening by the precipitate.

As described above, although microalloy steels are widely used, when the microalloy steel is not sufficiently heated, the solute dragging effect by the solid solution microalloy is not sufficiently obtained, It is feared that the amount of precipitation during and during cooling decreases and the pinning effect due to the precipitates decreases.

When rolling the low-temperature rolled material 150, since the hard material is rolled, the rolling power of the rough rolling mill 107 and the finish rolling mill 119 becomes more necessary, and the rough rolling mill 107 and finishing The consumed energy of the drive device for driving the rolling mill 119 is increased.

In addition, in recent years, the specifications required by the customer for the rolled products of the rolled material 150 have become strict, and in particular, it has become important to put mechanical properties such as strength and ductility into the allowable range in addition to the dimensions of the rolled products . Mechanical properties such as strength (yield stress, proof stress, hardness), toughness (brittle transition temperature, etc.) and moldability (r value and the like) in a metal material including steel are not only the composition of the alloy, But also changes depending on conditions, processing conditions, and cooling conditions. The adjustment of the alloy composition is carried out by controlling the addition amount of the component element. In the component adjustment, for example, a component adjustment furnace capable of storing molten steel around 100 tons is used, It is very difficult to change the addition amount for each product which is about 15 tons. Therefore, in order to produce a product of a desired material, it is important to appropriately set the heating condition, the processing condition, and the cooling condition so as to make the material properly, that is, achieve the material such as the desired mechanical properties.

On the other hand, it is also important to reduce the amount of warming gas represented by carbon dioxide (hereinafter referred to as CO ₂ ) by accommodating the increasing attention and interest in global environmental problems these days.

As described above, as an actual measure of energy saving, for example, the roll rotation speed is lowered in a time period during which the rolling is not performed in the rough rolling mill 107 or the finish rolling mill 119, that is, idle time, There is a way to save energy. Since the rough rolling machine 107 or the finish rolling machine 119 uses a large amount of cooling water, oil of the hydraulic system and air of the blower, water, oil and air are supplied to the rough rolling machine 107 and the finish rolling machine 119 It is also conceivable to conserve energy in the algebraic control of the pump or in the start / stop control of the pump.

Further, the energy used in the hot rolling apparatus 100 occupies about 60% of the fuel energy and is larger than 34% of the electric energy. Therefore, energy saving of the fuel energy is effective in energy saving of the total energy consumed in the hot rolling apparatus 100. Fuel energy is mainly consumed in the heating furnace 101. At this time, in order to reduce the energy of the fuel energy in the heating furnace 101, it is effective to carry out the noteworthy control to the heating furnace 101. [

Thus, the optimization apparatus 1 according to the first embodiment has a structure in which the rolled material 150 rolled by the hot rolling apparatus 100, which is connected to the control apparatus 200 that controls the hot rolling apparatus 100, The control of the hot rolling apparatus 100 by the control apparatus 200 is optimized so that the energy used in the hot rolling apparatus 100 is minimized around the heating furnace 101 while ensuring product quality.

1, the optimization apparatus 1 includes a CPU 11, a ROM 12, a RAM 13, an input unit 14, a display unit 15, a hard disk 16, And each of them is connected via a bus 20.

The ROM 12 is composed of a nonvolatile semiconductor or the like and stores an operation system and an optimization program executed by the CPU 11. [

The RAM 13 is constituted by a volatile semiconductor or the like, and temporarily stores necessary data when the CPU 11 executes various processes.

The hard disk 16 stores information necessary for the CPU 11 to execute the optimization program.

The CPU 11 performs pivotal control of the optimizing device 1.

Fig. 2 is a configuration diagram showing the configuration of the CPU 11 included in the optimization apparatus 1 according to the first embodiment of the present invention.

As shown in Fig. 2, the CPU 11 executes an optimization program to function as the setting calculation section 31, the material prediction calculation section 32, the energy calculation section 33, And an optimizing unit 34. [

The setting calculation section 31 calculates a control set value for rolling the rolled material 150 with precision while being stable, that is, a heating furnace condition and a rolling operation parameter after the heating furnace is extracted.

For example, when the dimensions and weight of the rolled material 150 at room temperature are input from the outside and the temperature is raised to the desired extraction temperature by charging the heating furnace 101, The heating furnace setting calculation is performed to calculate whether or not the furnace should be kept at the ambient temperature for several hours.

The setting calculation section 31 executes the setting calculation. For example, the setting calculation section 31 calculates the rolling load, the deformation resistance, the rolling torque, the rolling power, etc. on the basis of the dimensions and the temperature of the rolled material 150 extracted from the heating furnace 101, Model, and calculates the finish rolling roll speed setting value and the roll gap setting value, which are control setting values for stable rolling.

The setting calculation section 31 calculates the position of the virtual rolled material at each time from the heating furnace 101 to the coil 101 at each time point on the basis of the rolled material length or the calculated value of the acceleration / deceleration of the rolled material 150 135). The setting calculation unit 31 calculates the heat balance of the rolled material 150 by radiating it to the surrounding atmosphere, air convection, cooling water convection, transformation, heat generated by processing, heat transfer to the roll, The secondary descaler 117, the finishing mill 119, and the run-out target temperature on the basis of the heating-furnace extraction temperature, the finish-out target temperature and the winding target temperature, The setting of the spray of the table 129 and the temperature of the rolled material 150 at each point are calculated.

The material predictive calculation section 32 predicts the material of the rolled material 150 such as the yield stress and the mechanical properties such as tensile strength when the rolling is performed with the control set value calculated by the setting calculation section 31 do. For example, the material predictive calculation section 32 predicts a material represented by mechanical properties such as yield stress and tensile strength based on the metal structure information and chemical components. As an example, it is published on P125 of the 173th · 174th Nishiyama Memorial Technical Lecture entitled "Prediction of structural change and material quality of hot-rolled steel" (published by Japan Steel Association).

The metal structure after winding includes phase phase proportions such as ferrite grain size, ferrite, pearlite and martensite, and austenite grain size as intermediate data. Thus, the material predictive calculation unit 32 calculates the material predictive value by using a model obtained by modifying the metallurgical phenomenon based on the predicted values such as the chemical composition of the rolled material, the temperature and the load at the time of rolling calculated by the setting calculation unit 31, Is used to predict changes in the metal structure.

Various models have been proposed for the modeling of this metallurgical phenomenon, and it is widely known that the model consists of groups of mathematical expressions representing static recovery, static recrystallization, dynamic recovery, dynamic recrystallization, grain growth, and the like. As an example, an example is given in the plastic processing technique series 7 plate rolling (Corona Inc.) P198 to 229. The particle size and the volume ratio of ferrite, pearlite, and martensite can be grasped by these.

The energy amount calculation unit 33 calculates the amount of energy required for rolling the rolled material 150 to be calculated based on the calculation result of the setting calculation unit 31. [

Fig. 3 is a view for explaining an example of the energy consumed by the rolled material 150. Fig.

As shown in Fig. 3, the energy 201 consumed by the rolled material 150 is divided into heat energy 202, processing energy 203, transportation energy 204, and injection energy 205.

The thermal energy 202 is a heat energy consumed by the heating consuming energy 206 consumed when the rolled material 150 is heated by the heating furnace 101 and the heating consumed energy 206 consumed by the primary scaler 103, the secondary descaler 117, 119, and the run-out table 129, there is a cooling consumption energy 207 consumed when the rolled material 150 is air-cooled and water-cooled by spraying. The energy when the transformation occurs in the rolled material 150 during rolling and during cooling of the rolled material 150 is also included in the thermal energy 202. [ The energy when the rolled material 150 is heated by the bar heater 110 or the like in the middle of the rolling line is also included in the heat energy 202.

The processing energy 203 is the energy consumed when the rolled material 150 is deformed in the hopper 105, the rough rolling mill 107 and the finish rolling mill 119.

The conveying energy 204 is energy consumed when the rolled material 150 is conveyed on the rolling table on the conveying table.

The injection energy 205 is the energy consumed when the scale is removed by the water spray in the descaler such as the primary scaler 103, the secondary scaler 117, and the like.

Fig. 4 is a diagram showing an example of classification of energy consumed for each facility.

In Fig. 4, the energy consumed by the facility directly related to the rolling in the rolling line and the energy consumed by the drive device driving the facility are separately shown.

As shown in Fig. 4, in the heating furnace 101, fossil fuels such as heavy oil and natural gas are often burned, and fuel energy 310 is consumed. In the bar heater 110, it is heated by induction heating. Electric energy 311 is consumed. In the run-out table 129, water cooling is performed by air cooling and cooling water supplied from the head tank. Circulating water is often used for cooling water, and the water used for cooling is recovered in the pits, and is used again for cooling through the process of filtration and cooling. The head tank is pumped from the cooling water tank using a pump. Therefore, the pump-driving electric motor 301 is provided in the descaler such as the spray of the run-out table 129, finishing mill 119, primary scaler 103, and secondary descaler 117 , Electric energy for driving the pump by the pump driving electric motor 301 is consumed.

In the rough rolling machine 107 and the finish rolling machine 119, since the roll is driven by the rolling mill drive electric motor 302, electric energy is consumed.

Electric power is also required for conveyance of the rolled material 150, and electric energy is consumed in the table driving electric motor 303 for driving the conveying table.

The energy amount calculation section 33 calculates the energy required for rolling as follows.

First, the amount of energy consumed by the rolling furnace 101 in the heating furnace 101 is calculated as follows. For example, assuming that the rolled material 150 having a weight of 15 tons is heated from room temperature (30 ° C) to 1230 ° C, if the specific heat of steel is 0.5 kJ / kg / K, 0.5X1, 200X15,000) of thermal energy.

The energy amount calculation unit 33 calculates the amount of energy directly required to raise the temperature of the rolled material 150 based on the specific heat, the initial temperature, the final temperature, and the weight. In the case of heating the rolled material 150 in the heating furnace 101, since the atmospheric temperature must be raised and the efficiency is lowered such as heat is taken through the wall, the temperature of the rolled material 150 is directly increased In addition to the energy consumed, there is indirect energy needed. The heating furnace 101 has a plurality of rolled materials 150, and the energy required indirectly is energy relating to all of them.

Therefore, the energy amount calculation unit 33 calculates the amount of energy indirectly required for each of the rolled materials 150 to be calculated as the number of furnaces, the slab size of the rolled material 150, . The amount of energy required in the heating furnace 101 is the amount of energy obtained by adding the fuel energy directly required for raising the temperature of the rolled material 150 and the fuel energy indirectly required for one piece of the rolled material 150.

The energy amount calculation unit 33 calculates the energy amount consumed by the bar heater 110 by the rolled material 150 based on the specific heat, the initial temperature, the final temperature, and the weight, as well as the heat energy consumed by the heating furnace 101 . The amount of electric energy consumed in consideration of the conversion efficiency from electric energy to thermal energy is the amount of energy required for induction heating in the bar heater 110.

Next, the energy amount calculation unit 33 calculates the amount of energy required for cooling in the run-out table 129, for example, as follows.

The cooling in the run-out table 129 is performed by using the water once accumulated in the head tank. This head tank is provided above the position where the rolling line is installed, and water is supplied to each spray by using the difference in this position. To do this, the water must first be placed on the head tank using a pump or the like.

The energy amount calculation section 33 sets C to the number of sprays set in the ON state at each time calculated by the setting calculation section 31 and C denotes a cooling water flow rate [m3 / H] The total amount FT [m 3] of cooling water used in the run-out table 129 is calculated by using the following formula (1) based on C and FS.

FT =? (C 占 FS) dt (Equation 1)

The energy amount calculation unit 33 calculates the energy amount FT of the cooling water 150 calculated based on the total amount of the cooling water FT [ M / s] of the pump is calculated on the basis of the cooling interval T [H] and the quantity [m 3] surplus into the tank at the end of cooling of the former. The amount of electric energy consumed in the electric motor at that time can be calculated from the characteristics of the pump and the electric motor, that is, the amount of energy required for cooling in the run-out table 129.

The energy amount calculation unit 33 calculates the amount of electric energy consumed by the electric motor in the case of, for example, both the pump operation at the time of injection and the operation of the idle pump, thereby calculating the amount of electric energy consumed by the electric motor in the descaler or spray Calculate the amount of energy required.

Next, the energy amount calculation section 33 calculates the amount of energy required for machining the rolled material 150. [ The energy required for processing or deforming the rolled material 150 is mainly consumed in the rolling stand. The phenomenon (phenomenon) in the rolling stand is described by a rolling model expression (formula) in the setting calculation section 31. [ That is, the energy amount calculation unit 33 calculates the deformation resistance based on the characteristics of the rolled material 150 and the material temperature, calculates the rolling load on the basis of the deformation resistance, Calculate the required rolling torque. The torque to be output by the motor is a value obtained by adding the rotor torque and the acceleration torque to the rolling torque.

The energy amount calculation unit 33 calculates the amount of electric power E [J] required by the electric motor using the following equations (2) and (3). Here, let P [W] be the power, T [N-m] torque, V [rad / s], and time t [H].

P = T x v (Equation 2)

E = P x t (Equation 3)

The energy amount calculation section 33 predicts the torque required for rolling the rolled material 150 and determines the finishing output rolling speed and calculates the rolling time from the length in the carrying direction of the rolled material 150 . The energy amount calculator 33 then calculates the amount of electric energy [kJ = kW] required for rolling the rolled material 150 based on the calculated electric energy E [J] and the rolling time, 150 as the energy required for machining.

Next, the energy amount calculation unit 33 calculates the amount of electric energy required for conveying the rolled material 150. [ The energy amount calculation section 33 calculates the torque from the weight of the rolled material 150 that shares the electric motor with respect to one electric motor and outputs the torque to the rolled material 150 ) And the conveying speed of the conveying belt. The energy amount calculator 33 calculates the amount of electric energy [kJ] required for conveying the rolled material 150 using the above-described (formula 2) and (formula 3) based on the torque and the conveyance time, Calculate. The electric energy required for conveying the rolled material 150 in the heating furnace 101 is also added to the amount of electric energy required for conveying the rolled material 150. [

The energy amount calculation unit 33 calculates the amount of energy required for rolling the rolled material 150 as the amount of energy obtained by adding electrical energy to the fuel energy necessary for each of the above-mentioned equipments.

The optimizing unit 34 optimizes the heating furnace conditions and the rolling operation parameters after the heating furnace is extracted to reduce the consumed energy while securing the final material. More specifically, the optimizing unit 34 determines whether the material predicted by the material predictive calculation unit 32 satisfies the externally input required material or not, The control setting value of the hot rolling apparatus 100 that minimizes the total amount of energy required for rolling the hot rolling apparatus 100 is calculated by the setting calculation unit 31.

«Works»

The operation of the optimization apparatus 1 according to the first embodiment of the present invention will be described.

5 is a flowchart showing the flow of processing by the optimization apparatus 1 according to the first embodiment of the present invention.

As shown in Fig. 5, first, the setting calculation section 31 determines whether or not an initial value of the heating furnace condition and the rolling operation parameters is supplied from the outside (step S101). Here, as an example, a case where the heating furnace extraction temperature is supplied as the heating furnace condition and the finishing annealing rolling speed is supplied as the rolling working parameter after the heating furnace is taken as an example will be described. The initial values of the extraction temperature and finish output rolling speed can be obtained by storing in advance a table classified by the steel type or finish target plate thickness or the like in advance in the ROM 12, It is also possible to extract the heating furnace extraction temperature and finishing output rolling speed corresponding to the steel species supplied from the outside or the finishing target plate thickness.

Next, the setting calculation section 31 executes the heating furnace setting calculation (step S102). Specifically, in order to heat the rolled material 150 to the heating furnace extraction temperature on the basis of the dimensions and the weight of the rolled material 150 at room temperature, the setting calculation section 31 sets the temperature of the rolled material 150 in the heating furnace 101 It is calculated how many hours you want to have ash.

Then, the setting calculation section 31 performs setting calculation (step S103). Specifically, in the case of rolling at the initial values of the supplied heating-line extraction temperature and final exit-side rolling speed, the setting calculation section 31 calculates the target thickness, width, finish output temperature, Other rolling conditions such as a roll gap set value which is stably rolled are calculated so as to achieve the preheating temperature. The setting calculation section 31 also calculates the position of the virtual rolled material at each time from the heating furnace 101 to the completion of winding the coil on the coil 135 based on the calculated values of the rolled material and the rolled material acceleration / And the temperature of the rolled material 150 is measured by using a temperature model that considers heat radiation to the surrounding atmosphere, air convection, cooling water convection, transformation, heat generated by machining, heat transfer to the roll, The setting of the spray of the primary descaler 103, the secondary descaler 117, the finishing mill 119 and the run-out table 129 and the setting of the spray of the rolled material 150 Lt; / RTI >

Next, the material predictive calculation unit 32 performs material predictive calculation (step S105). Specifically, the material predictive calculation section 32 calculates the predicted value of the rolled material 150 such as mechanical properties such as yield stress and tensile strength after rolling when the rolling is performed at the control set value calculated by the setting calculation section 31, Of the material. Here, an example of predicting the tensile strength (TS _cal ) after winding will be described as a material.

Specifically, the optimizing unit 34 determines whether the predicted value TS _cal of the calculated tensile strength is equal to or _smaller than the predetermined demanded material (TS _th ) or more.

If it is determined in step S107 that the requested material is not satisfied (NO), the optimizing unit 34 determines whether or not it is within the repetitive calculation limit number of times (step S109). The number of repetition calculation limitations is set in advance as an arbitrary number.

If it is determined in step S109 that the number of iterations is within the limit of the number of repeated calculation (YES), the optimizing unit 34 changes the finish rolling out speed, which is a rolling operation parameter, by DELTA Vm / s (step S111).

On the other hand, if it is determined in step S109 that the number of times of repeated calculation is exceeded (NO), the optimizing unit 34 changes the heating furnace extraction temperature, which is the heating furnace condition, by DELTA T DEG (step S113).

In this manner, the setting calculation section 31, the material prediction calculation section 32, and the optimizing section 34 perform the iterative calculation while changing DELTA V and DELTA T, The extraction temperature and the finish rolling temperature, which is the rolling operation parameter, are determined.

On the other hand, when it is determined in step S107 that the material satisfies the required material (YES), the energy amount calculation unit 33 calculates the target heating temperature, the finish output rolling speed, Based on the calculated rolling conditions, the total amount of energy consumed in the hot rolling apparatus 100 is calculated (step S115).

Next, the optimizing section 34 judges whether or not the reduction amount of the total energy amount calculated by the energy amount calculating section 33 is sufficiently small (step S117). Specifically, it is determined whether or not the following equation (4) is satisfied by setting En-1 required energy previous calculation result [kJ] and En calculated as necessary energy current calculation result [kJ] as En and threshold value ε. Here, the threshold value? Is set in advance, for example, 0.01.

| En-1 - En | / En <Threshold (?) (Equation 4)

If it is determined in step S117 that the reduction amount of the total energy amount calculated by the energy amount calculation unit 33 is not sufficiently small (NO), the optimizing unit 34 determines whether or not the reduction amount of the total energy amount (Step S119).

If it is determined in step S119 that the number of iterations is within the limit of the number of times of repeated calculation (YES), the optimizing unit 34 changes the finishing output rolling speed, which is a rolling operation parameter, by DELTA Vm / s (step S121).

On the other hand, if it is determined in step S117 that the reduction amount of the total amount of energy calculated by the energy amount calculation unit 33 is sufficiently small (YES), the optimization unit 34 again calculates the energy amount (Step S123). When it is determined that the amount of decrease in the total amount of energy calculated by the amount-of-energy calculating unit 33 is not sufficiently small (NO), it is determined whether or not the amount of decrease in the total amount of energy calculated by the amount- , The optimizing unit 34 determines whether or not it is within the number of repetitive calculation limitations (step S125).

If it is determined in step S125 that the number of iterations is within the limit of the repeated calculation (YES), the optimizing unit 34 changes the heating furnace extraction temperature, which is the heating furnace condition, by DELTA T DEG (step S127).

On the other hand, if it is determined in step S125 that the number of times of repeated calculation is exceeded (NO), the optimizing unit 34 selects the heating furnace condition and the rolling operation parameters that satisfy the required material, (Step S129).

As described above, according to the optimization apparatus 1 of the first embodiment of the present invention, the setting calculation section 31, the material prediction calculation section 32, the energy calculation section 33, The section 34 performs repetitive calculation while changing DELTA V and DELTA T so that within the range in which the material predicted by the material predictive calculation section 32 satisfies the externally input required material, Since the control setting value for minimizing the total amount of energy calculated by the control unit 33 is calculated by the setting calculation unit 31, the required amount of energy consumed by the rolled material 150 is minimized, Conditions can be determined.

That is, according to the optimization apparatus 1 of the first embodiment of the present invention, the rolling apparatus includes a setting calculation section that calculates a control set value for rolling the rolled material, and a control section that calculates, based on the control set value calculated by the setting calculation section A material predicting unit that predicts the material of the rolled material rolled by the rolling apparatus and an amount of an index that the rolling apparatus optimizes in rolling the rolled material based on the control set value calculated by the setting calculation unit, An optimization index calculation unit for calculating an optimization index value by using the optimization index value calculated by the optimization index calculation unit in a range that the material predicted by the material prediction unit satisfies the externally input required material, To the setting calculation section. Therefore, it is possible to obtain the optimum quality index of the rolled material while ensuring the product quality of the rolled material, As a result, the control of the rolling mill can be optimized.

Further, according to the optimization apparatus 1 of the first embodiment of the present invention, with respect to the heating furnace extraction temperature as the heating furnace condition and the finish annealing rolling speed as the rolling working parameter, within the range satisfying the required material, The control set value is calculated so as to minimize the total energy amount, but this is not limitative.

For example, the heating temperature of the bar heater 110 may be set as a heating furnace condition and the cooling conditions of the run-out table 129, the rolling pass of the roughing mill 107 or the finishing mill 119, The load distribution of each pass, and the thickness of the rolled material 150 may be used.

In addition, according to the optimization apparatus 1 of the first embodiment of the present invention, tensile strength is regarded as a required material to be satisfied, but the present invention is not limited to this, and the yield stress, brittle transition temperature, r- Or the like, or a combination thereof.

In the first embodiment, the hot rolling system 300 having the hot rolling apparatus 100 is described as an example. However, the hot rolling system 300 is not limited to the hot rolling system, but the hot rolling system, hot plate rolling system, cold rolling system, The present invention is also applicable to a rolling system including a rolling machine for rolling steel bars, wire rods, or rolling facilities for aluminum and copper.

&Lt; Second Embodiment >

In the first embodiment, the control set value is calculated so that the material of the rolled material 150 meets the required material and is an optimization index that is an index for optimizing the amount of energy required for rolling, and the optimization index is minimized The optimization apparatus 1 has been described as an example.

However, the optimization index is not limited to the amount of energy, but differs depending on the plant, the date and time of operation, and the type of steel. Therefore, instead of the total amount of energy required for rolling, for example, by using the amount of fuel energy, the amount of electric energy, the energy intensity, the cost, the unit cost, the amount of CO ₂ discharged from rolling, It is also good.

In the second embodiment, an optimization apparatus for calculating the control set value is described as an example in which the optimum index is selected, the material of the rolled material 150 meets the required material, and the optimization amount of the selected optimization index is optimized .

The optimizing apparatus 1A according to the second embodiment is similar to the optimizing apparatus 1 according to the first embodiment shown in Fig. 1 except that the optimizing apparatus 1A is connected to the control apparatus 200 that controls the hot rolling apparatus 100 .

The optimization apparatus 1A according to the second embodiment includes a CPU 11A, a ROM 12, a RAM 13, an input unit 14, a display unit 15, a hard disk 16 . The ROM 12, the RAM 13, the display unit 15 and the hard disk 16 have the same configurations as those of the optimizing apparatus 1 according to the first embodiment, The description is omitted.

Fig. 6 is a configuration diagram showing the configuration of the CPU 11A included in the optimizing apparatus 1A according to the second embodiment of the present invention.

6, the CPU 11A has, in terms of its function, a setting calculation section 31, a material prediction calculation section 32, an optimization section 34, an optimization index selection section 35, And an optimization index amount calculation section 36. [ Among them, the setting calculation section 31, the material prediction calculation section 32, and the optimization section 34 are the same as the configurations of the optimizing device 1 according to the first embodiment, The description will be omitted.

The optimization index selection unit 35 selects any one among the total energy amount, the fuel energy amount, the electric energy amount, the energy intensity, the cost, the basic unit cost, the CO ₂ emission amount from the rolling, Select one.

The optimization index amount calculation unit 36 calculates the optimization index amount selected by the optimization index selection unit 35 as the optimization index amount based on the control setting value calculated by the setting calculation unit 31. [

«Works»

The operation of the optimizing apparatus 1A according to the second embodiment of the present invention will be described.

Fig. 7 is a flowchart showing the flow of processing by the optimizing apparatus 1A according to the second embodiment of the present invention. In the processing steps of the flowchart shown in Fig. 7, the same step numbers as those of the processing steps in the flowchart shown in Fig. 5 are the same processing, and a description thereof will be omitted.

In step S201, the optimization index selection unit 35 selects the optimization index among the total energy amount, the fuel energy amount, the electric energy amount, the energy intensity, the cost, the basic unit cost, the CO ₂ emission amount from the rolling, , And selects any one of them.

In step S215, the optimization index amount calculation unit 36 calculates any one of the optimization index amounts. Regarding the total amount of energy, fuel energy, and electric energy required for rolling, the total amount of energy by the energy amount calculation unit 33 included in the optimization apparatus 1 according to the first embodiment of the present invention, Energy, and electric energy, and thus the description thereof will be omitted.

In the case of calculating the energy intensity, the optimization indicator amount calculation unit 36 first calculates the energy amount based on the fuel energy usage amount And the amount of electric energy used is calculated, and the energy intensity is calculated using the following equation (5). Here, the energy intensity is Es [kJ / ton], the fuel energy consumption is Ef [kJ], the electric energy consumption is Ee [kJ], and the production amount is S [ton].

Es = (Ef + Ee) / S (Equation 5)

Further, the optimization index amount calculation unit 36 calculates the CO ₂ emission amount using the carbon dioxide emission coefficient. Here, the carbon dioxide emission coefficient is a coefficient for calculating how much carbon dioxide is discharged when consuming fuel or electric power. For example, with respect to natural gas, 0.52526 kg-C / kg (0.5256 kg of carbon is discharged when 1 kg of natural gas is burnt) or 2.025 kg-CO ₂ / , And 2.025 kg of carbon dioxide is discharged). If ₁ kWh of electricity is used, the carbon dioxide is specified as 0.555 kg-CO ₂ / kWh.

The optimization index amount calculation unit 36 calculates the optimization index amount calculation unit 36 based on the fuel energy usage amount Ef and the electric energy usage amount Ef in the same way as the energy amount calculation unit 33 included in the optimization apparatus 1 according to the first embodiment of the present invention. (Ee) is calculated, and the CO ₂ emission amount is calculated by using the following formula (6). Here, a CO ₂ emission (Mg) [㎏], the discharge for the fuel coefficient _{(Kf) [㎏-CO 2} / ㎏], the discharge of the electric coefficient _{(Ke) [㎏-CO 2} / ㎾h].

Mg = Ef x Kf + Ee x Ke (Equation 6)

In the case of calculating the cost, the optimization index amount calculation unit 36 first calculates the fuel amount (fuel amount) in the same manner as the energy amount calculation unit 33 provided in the optimization apparatus 1 according to the first embodiment of the present invention, The usage amount Ef and the electric energy usage amount Ee are calculated, and the cost is calculated using the following formula (7). Here, the cost is C [yen (yen)], the fuel to the unit is Fg [yen / kg], and the electricity to the unit is Eg [yen / kWh].

C = Ef x Fg + Ee x Eg (Equation 7)

The optimization index amount calculation unit 36 calculates the cost basic unit by calculating the cost C using the formula 7 by dividing the production amount by S [ton] Cg).

When calculating the peak power, the optimization index amount calculation unit 36 calculates the optimum index value based on the calculated value of the acceleration / deceleration at each time, which is calculated on the basis of the calculated values of acceleration / deceleration of the rolled material or the rolled material 150 The power to be used in the rolling line at any time (t) is calculated on the basis of the position of the serial member 150 and the usage power of each facility calculated by the energy amount calculation unit 33 by using the following equation (8) .

The optimization index amount calculation unit 36 prepares a monitoring target period (for example, during which rolling material is extracted from the heating furnace and winding is completed, during one campaign, etc.) And the power Ep (t) at the time when the used power becomes the largest becomes the peak power. Here, power (Ep) (t) [kWh] used at the time of rolling at the time t and Eu (t) [kWh] at which power is used at a certain time t is assumed.

Ep (t) = Σ _equipment (Eu (t)) (Formula 8)

In steps S217 and S223, the optimizing unit 34 determines whether or not the amount of optimization index calculated by the optimization index amount calculating unit 36 is optimized.

8 is a diagram showing an example of the end determination of the iterative calculation for optimization when each optimization index in the optimization apparatus 1A according to the second embodiment of the present invention is selected.

The optimizing unit 34 calculates a rolling condition that satisfies the required material and the optimum amount of the optimum index is calculated by iterative calculation. For example, when the CO ₂ emission amount is selected as the optimization index, the optimizing unit 34 calculates the rolling conditions at which the CO ₂ emission amount is minimized by the iterative calculation.

Then, as shown in Fig. 8, the optimizing unit 34 performs the iterative calculation until the selected optimization indicator amount reaches the optimization repeat calculation end criterion.

The termination conditions of the iterative calculation are such that a limitation is imposed on the number of iterations from the viewpoint of the calculation time and the optimization index amount calculated by the optimization index amount calculation section 36 in the iterative calculation and the previous iterative calculation is compared , It is determined whether the optimization index amount has converged to the maximum amount.

For example, when the CO ₂ emission amount is selected as the optimization index, it is determined that the reduction amount from the previous calculation result of the CO ₂ emission amount is sufficiently small.

As described above, according to the optimization apparatus 1A according to the second embodiment of the present invention, within the range in which the material predicted by the material prediction calculation unit 32 satisfies the externally input required material, Any one of the total amount of energy, the amount of fuel energy, the amount of electric energy, the amount of energy, the cost, the unit cost, the amount of CO ₂ emitted from rolling, and the peak power during rolling calculated by the calculation unit 36 It is possible to select a desired optimization index from various optimization indexes while ensuring the required material of the rolled material 150 and to minimize the selected optimization index amount Rolling conditions can be determined.

In the second embodiment of the present invention, the CPU 11A has executed the process shown in Fig. 7 for each rolled material, but the present invention is not limited to this. For example, May be executed in a longer period of time, such as during a one-roll campaign up to.

In the second embodiment of the present invention, the optimization index selection unit 35 has previously performed the selection of the optimization index and has performed the optimization calculation so that the optimization index becomes the maximum amount. However, The optimization indexes may be calculated for each of the optimization indexes so that the maximum value is obtained for each of the optimization indexes and the optimization indexes may be selected after all the optimization calculations are completed to determine the rolling conditions.

&Lt; Third Embodiment >

Next, the optimization apparatus 1B according to the third embodiment of the present invention will be described.

In the first embodiment of the present invention, it is assumed that the material of the rolled material 150 satisfies the required material and is an optimization index which is an index for optimizing the amount of energy required for rolling, The optimization apparatus 1 for calculating the optimum value is described as an example.

In the third embodiment of the present invention, in the one-roll campaign from the roll change to the roll change of the roughing mill 107 or the finishing mill 119 (for example, at the timing of the roll change, In order to meet the requirements of material and throughput (output per unit of time) and to minimize the total amount of energy required for rolling during the campaign in all the rolled materials 150 The calculated optimization device 1B will be described as an example.

The optimizing apparatus 1B according to the third embodiment of the present invention is similar to the optimizing apparatus 1 according to the first embodiment shown in Fig. 1, except that the control apparatus 200 for controlling the hot rolling apparatus 100 .

The optimization apparatus 1B according to the third embodiment of the present invention has the same configuration as that of the optimization apparatus 1 according to the first embodiment shown in Fig. 2, and a description thereof will be omitted.

«Works»

The operation of the optimizing device 1B according to the third embodiment of the present invention will be described.

Fig. 9 is a flowchart showing a processing flow by the optimizing device 1B according to the third embodiment of the present invention.

9, the setting calculation unit 31 of the CPU 11 performs optimization calculation of the rolled material 150 in the campaign of the roughing mill 107 or finishing mill 119 (step S301 ). Concretely, the CPU 11 performs the processing by the optimizing apparatus 1 according to the first embodiment of the present invention shown in Fig. 5 with respect to all the rolled materials 150 rolled during the roll campaign to be calculated The rolling material 150 to be calculated satisfies the material requirement and the energy required for rolling the target rolled material 150 is at least the minimum , The heating furnace extraction temperature and finish annealing rolling speed are respectively calculated before charging into the furnace.

Next, the setting calculation section 31 of the CPU 11 executes the extraction pitch setting calculation (step S303). More specifically, in step S301, the optimal rolling operation parameters are already calculated for each rolled material in the roll campaign to be calculated. Therefore, it is already known how the rolled material 150 moves on the rolling line after being extracted from the heating furnace 101. Thus, the setting calculation section 31 calculates the extraction pitch? _{I in} which the rolled material 150 and the preceding rolled material 150 do not collide on the rolling line by this information. Here, the extraction pitch? _I is set to an extraction time interval between heating of the rolled material 150 and the preceding rolled material 150.

Then, the setting calculation section 31 determines whether or not the calculated extraction pitch? _I satisfies the request throughput (step S305). Specifically, the setting calculation section 31 determines whether or not the following formula 9 is satisfied.

Σ _i τ _i ≤ T _MAX (Equation 9)

Here, T _MAX is the maximum time that can be consumed for rolling all the rolled materials 150 in the roll campaign to be calculated from the viewpoint of the required throughput. The initial value of the extraction pitch (? _I ), for example, selects the pitch with the shortest extraction interval in which no collision of the rolled material 150 occurs.

By the processing steps of steps S303 and S305, the setting calculation section 31 can calculate the extraction pitch that satisfies the request throughput and that the rolled materials 150 do not collide with each other on the rolling line.

Next, the setting calculation section 31 executes the furnace temperature setting calculation based on the extraction target temperature and the extraction pitch? _I of each rolled material 150 (step S307). The method for calculating the furnace temperature of the heating furnace 101 is described in, for example, "Control in the Steel Industry"; Ryoichi Takahashi (Ryoichi Takahashi); Corona Inc. (published in 2002).

Then, the setting calculation section 31 determines whether or not the target extraction temperature can be achieved for all the rolled materials 150 in the roll campaign (step S309).

If it is determined in step S309 that the target extraction temperature can not be attained (NO), the setting calculation unit 31 sets the extraction pitch of the rolled material 150, which can not attain the target extraction temperature, Is changed within a range that does not interfere with the serial member 150, and the noon setting calculation is executed similarly to step S307 (step S311).

Then, the setting calculation section 31 determines whether or not the target extraction temperature can be achieved for all the rolled materials 150 in the roll campaign (step S313).

If it is determined in step S313 that the target extraction temperature can not be achieved (NO), the setting calculation unit 31 determines whether or not the target extraction temperature is within the limit of the iteration calculation (step S315).

If it is determined in step S315 that the number of times of repeated calculation is exceeded (NO), the setting calculation unit 31 changes the target extraction temperature of the rolled material 150 that can not achieve the target extraction temperature S317). The target extraction temperature is changed by selecting the target extraction temperature that can be achieved only by the noon control, which is obtained in the calculation process per one piece of the rolled material 150, in which the required energy is close to the minimum energy and satisfies the required material. Alternatively, by performing the optimization calculation again in step S301 for the rolled material 150 for which the target extraction temperature can not be attained, the target extraction temperature can be obtained, which satisfies the material requirement, is small in the required energy, .

On the other hand, if it is determined in step S313 that the target extraction temperature can be attained (YES), that is, if it is possible to perform the noon setting in which all the rolled materials 150 can achieve the target extraction temperature , The energy amount calculation unit 33 calculates the total amount of energy required for rolling the campaign (step S319). For example, the energy amount calculation section 33 calculates the total energy amount necessary for rolling the campaign by calculating and adding the fuel energy consumed in the heating furnace and the electric energy consumed in the other facilities, respectively do.

In addition, since the noon pattern is calculated in the campaign when the setting calculation section 31 performs the noon setting calculation, the energy amount calculation section 33 calculates the energy amount necessary for raising the atmospheric temperature The energy required for raising the temperature of the rolled material is calculated, and the consumption amount of the fuel energy is calculated again from these.

The electric energy is calculated by adding the amount of energy required for rolling one piece of rolled material 150 described above. It also includes the energy required for children.

Next, the optimizing unit 34 judges whether or not the reduction amount of the total energy amount necessary for rolling the campaign concerned is sufficiently small (step S321).

If it is determined in step S321 that the reduction amount of the total amount of energy required for rolling the campaign is not sufficiently small (NO), the optimizing unit 34 determines whether or not it is within the repetitive calculation limit number of times (step S323) .

If it is determined in step S323 that the number of repetition calculation is within the limit number of times (YES), the process proceeds to step S303. If it is determined that the repetition calculation limit number is exceeded (NO), the process is terminated.

In this manner, the extraction pitch is changed so as to satisfy the material requirement and the throughput requirement and to obtain the extraction pitch that minimizes the energy amount, and the calculation is repeated until the specified number of repetitions is exceeded, Or less.

As described above, according to the optimizing apparatus 1B according to the third embodiment of the present invention, the optimizing unit 34 determines whether or not the throughput of the rolled material 150 satisfies the externally input required throughput, The rolled material 150 of the processing amount calculated by the energy amount calculation unit 33 within the range in which the material of the rolled material 150 predicted by the unit 32 satisfies the externally input required material, It is possible to calculate the control setting value for minimizing the amount of optimization index required for rolling the rough rolling mill 107 or the finish rolling mill 119 to the setting calculation section 31. For example, It is possible to optimize the control of the rolling facility so that the optimum index amount to be optimized is minimized while securing the product quality of the rolled material 150 in all the rolled materials 150 in the roll campaign.

In the optimization apparatus 1B according to the third embodiment of the present invention, with respect to the extraction pitch, the heating furnace extraction temperature, and the finishing exit rolling speed of each rolled material rolled during the one-roll campaign, But the cooling conditions in the run-out table, the number of rolling passes, the load distribution of each pass, the number of rolling passes, and the number of rolling passes are not limited to the extraction pitch, the extraction temperature, The heating furnace condition and the rolling condition in the setting calculation section 31 are changed in the same manner as described above in the case where the heating condition of the heater is changed and the material prediction by the material prediction calculation section 32 And the energy calculation in the case of rolling under the rolling conditions calculated by the energy calculation unit 33 by the setting calculation unit 31 is repeated to satisfy the material requirement in the optimization unit 34, It is possible to determine the rolling conditions at which one energy is minimum.

In the optimization apparatus 1B according to the third embodiment of the present invention, the total energy required for rolling is minimized. However, as in the optimization apparatus 1A according to the second embodiment of the present invention, An optimization index selection unit 35 and an optimization index amount calculation unit 36. The fuel amount and electric energy amount, the energy intensity, the CO ₂ emission amount, the cost,

 The rolling line can be optimized so that the optimum index of the unity, peak power, etc. is the maximum.

Further, the above-described embodiment can be realized by executing an optimization program installed in a computer. That is, this optimization program may be configured to be either one of the optimization devices 1 to 1B by being read from the recording medium on which the optimization program is stored and being executed by the CPU, or may be transmitted through the communication network Any one of the optimization apparatuses 1 to 1B may be configured by being installed and being executed by the CPU.

INDUSTRIAL APPLICABILITY The present invention can be applied to an optimization apparatus for setting a control apparatus for controlling a hot rolling apparatus.

1, 1A, 1B: Optimizer
31:
32: material prediction calculation unit (material prediction unit)
33: Energy amount calculation unit
34:
35: Optimization index selection unit
36: Optimization Indicator Amount Calculation Section
100: Hot rolling device
101: heating furnace
103: primary scaler
105: Joe Lowe
107: rough rolling mill
109: Feeder side plate
110: Bar heater
111: Feeding side thermometer
113: Finish Inside Thermometer
115: Cropsia
117: Secondary descaler
119: Finishing mill
121: Finishing Exit plate succession
123: Multi-gauge
125: Finishing output thermometer
127: Flatness meter
129: Run out table
131: Coiler Inside Thermometer
133: Coiler side plate width
135: Coiler
150: rolled material
200: Control device
300: Hot rolling system

Claims (9)

A setting calculation unit for calculating a control set value for rolling the rolled material by a rolling apparatus having a heating furnace based on a heating furnace condition of the heating furnace and a rolling operation parameter of the rolling apparatus;
A material predicting unit that predicts a material of the rolled material rolled by the rolling apparatus based on the control set value calculated by the setting calculator;
The amount of fuel energy, the amount of electric energy, the energy intensity, the price, the price unit intensity, and the total amount of energy required for rolling the rolled material by the rolling apparatus, based on the control setting value calculated by the setting calculation unit. An optimization index value calculation unit for calculating an index value that optimizes any one of CO ₂ emission amount and peak power at the time of rolling as an optimum index amount,
The control calculation unit calculates the control setting value that minimizes the optimization index amount calculated by the optimization index calculation unit within the range in which the material predicted by the material prediction unit satisfies the externally input required material And an optimization unit for performing iterative calculation,
The optimizing unit,
The reduction rate of the corresponding meeting optimization index amount with respect to the previous optimization index amount calculated by the optimization index amount calculation unit within a predetermined number of repeated calculation times is changed to a predetermined And the iterative calculation is performed until the difference is less than the threshold value of the optimization result. The method according to claim 1,
The optimizing unit,
Wherein the rolled material roll is rolled in a rolling campaign of the rolling apparatus, wherein the throughput of rolled material satisfies an externally inputted required throughput, and the material of the rolling material predicted by the material predicting unit is externally inputted The control calculation unit calculates the control set value to minimize the optimization index amount necessary for rolling the rolled material in the amount of processing amount calculated by the optimization index amount calculation unit within a range that satisfies the material . A setting calculation step of calculating a control set value for rolling the rolled material by a rolling apparatus having a heating furnace based on a heating furnace condition of the heating furnace and a rolling operation parameter of the rolling apparatus;
A material predicting step of predicting a material of the rolled material rolled by the rolling apparatus based on the control set value calculated by the setting calculation step,
The amount of fuel energy, the amount of electric energy, the energy intensity, the price, the price basicity, and the amount of energy required for rolling the rolled material by the rolling device, based on the control setting value calculated by the setting calculation step An optimization index value calculation step of calculating an index value for optimizing any one of a CO ₂ emission amount and a peak power at the time of rolling as an optimization index value;
The control setting value for minimizing the optimization index amount calculated by the optimization index calculation step is calculated by the setting calculation step within a range in which the material predicted by the material prediction step satisfies the externally input required material And an optimization step of performing an iterative calculation,
Wherein the optimization step comprises:
Wherein the reduction rate of the corresponding optimization index of the preceding optimization index amount calculated by the optimization index calculation step is within a predetermined limit number of times of repeated calculation by varying the heating furnace condition or the rolling operation parameter, Wherein the iterative calculation is performed until the difference is less than a predetermined value. The method of claim 3,
Wherein the optimization step comprises:
Wherein the rolled material roll is rolled during the rolling campaign of the rolling apparatus, the processing amount of the rolled material satisfies the required input processing amount input from outside, and the material of the rolling material, which is predicted by the material predicting step, The control setting value for minimizing the optimization index amount necessary for rolling the rolled material of the processing amount calculated by the optimization index calculation step within the range that satisfies the material is calculated by the setting calculation step . A setting calculation step of calculating a control set value for rolling the rolled material by a rolling apparatus having a heating furnace based on a heating furnace condition of the heating furnace and a rolling operation parameter of the rolling apparatus;
A material predicting step of predicting a material of the rolled material rolled by the rolling apparatus based on the control set value calculated by the setting calculation step,
The amount of fuel energy, the amount of electric energy, the energy intensity, the price, the price basicity, and the amount of energy required for rolling the rolled material by the rolling device, based on the control setting value calculated by the setting calculation step An optimization index value calculation step of calculating an index value for optimizing any one of a CO ₂ emission amount and a peak power at the time of rolling as an optimization index value;
The control setting value for minimizing the optimization index amount calculated by the optimization index calculation step is calculated by the setting calculation step within a range in which the material predicted by the material prediction step satisfies the externally input required material The computer executes an optimization step of performing an iterative calculation,
Wherein the optimization step comprises:
Wherein the reduction rate of the corresponding optimization index of the meeting with respect to the previous optimization index calculated in the optimization index calculation step is within a predetermined number of repeated calculation limits by changing the heating furnace condition or the rolling operation parameter, And the repetition calculation is performed until the estimated value of the optimization value becomes less than the threshold value of the optimization program. 6. The method of claim 5,
Wherein the optimization step comprises:
Wherein the rolled roll of the rolling apparatus includes a rolled material rolled by the roll of rolled material, the rolled rolled material having a throughput satisfying an externally inputted required processing amount, and a material of the rolled material predicted by the material predicting step, , The control setting value that minimizes the optimization index amount necessary for rolling the rolled material of the processing amount calculated by the optimization index calculation step is calculated by the setting calculation step Wherein the optimization program is recorded on the recording medium. delete delete delete

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