Cooling facility of coil-shaped steel plate

Abstract

To inhibit surfaces of coil-shaped steel plates from getting wet and achieve improvement of cooling efficiency of the coil-shaped steel plates and cool the coil-shaped steel plates in high efficiency without causing rust in the coil-shaped steel plates.SOLUTION: A cooling facility of a coil-shaped steel plate includes: cooling mist generators 1 which jet cooling mist; cooling fans 2 which are disposed while forming a space therebetween in a manner that each cooling fan 2 can suction air cooled by evaporation of the cooling mist jetted by the cooling mist generators 1 and blow the air to coil-shaped steel plates S placed on a cooling floor; and a control device 4 which controls driving of the cooling mist generators 1 and the cooling fans 2. The control device 4 controls the cooling mist generators 1 and the cooling fans 2 based on set control contents so that the cooling mist generators 1 jet the cooling mist and the cooling fans 2 suction the air cooled by evaporation of the cooling mist jetted by the cooling mist generators 1 and blow the air to the coli-shaped steel plates S placed on the cooling floor CF.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] An embodiment of the present invention relates to a cooling system for a coiled steel sheet. [Background technology]

[0002] In the manufacture of coiled steel sheets, hot rolling (hot rolling) or cold rolling (cold rolling) is carried out. Among these, when manufacturing hot-rolled steel sheets, for example, a slab is first heated to a predetermined temperature in a heating furnace, and the heated slab is rolled in a rough rolling mill to form a rough bar. Next, this rough bar is passed through a continuous hot finishing rolling mill consisting of multiple rolling stands to form a hot-rolled steel sheet of a predetermined thickness.

[0003] The hot-rolled steel sheet discharged from the continuous hot finishing rolling mill is cooled by cooling water supplied from above and below the cooling device installed on the run-out table, and then wound up by a winding machine to become a coiled hot-rolled steel sheet. The coiled hot-rolled steel sheet is then stored.

[0004] On the other hand, in the case of cold-rolled steel sheets, the hot-rolled steel sheets coming out of the continuous hot finishing mill are subjected to various processes such as pickling, annealing, and cold rolling to become cold-rolled steel sheets. The cold-rolled steel sheets are also wound up by a winding machine to become coiled cold-rolled steel sheets. Such coiled cold-rolled steel sheets are also stored in this state.

[0005] In this way, various steel sheets are wound up into a coil shape during storage. Incidentally, the temperature of various steel sheets in such a wound state is, for example, 500 to 650°C in the case of coiled hot-rolled steel sheets, and below this temperature in the case of coiled cold-rolled steel sheets. However, since they cannot be shipped or passed on to the next process in this temperature state, they are cooled to room temperature in the coil storage area where these coiled steel sheets are stored (hereinafter, such storage area will be referred to as "cooling bed" as appropriate) before being transported and shipped.

[0006] A large amount of coiled steel sheets are placed on the cooling bed and cooled. Therefore, it is inevitable that coiled steel sheets at high temperatures are placed around the coiled steel sheets at high temperatures. In this case, the temperature around each coiled steel sheet is high. This reduces the cooling efficiency of the coiled steel sheets, and it may take, for example, 3 to 5 days to complete cooling of the coiled steel sheets.

[0007] As a result, the area required to store the coiled steel sheet for use as a cooling bed must be large. In addition, the cooling time required increases the time it takes to ship the coiled steel sheet. Furthermore, the cooling time also causes problems such as a shortage of space to store the coils for the cooling bed and an increase in coil inventory.

[0008] In order to shorten the cooling time of the coiled steel sheet, various methods of spraying cooling water on the coiled steel sheet have been proposed. However, when cooling water is sprayed on the coiled steel sheet when the surface temperature of the coiled steel sheet is 100°C or less, such as in the case of a coiled cold-rolled steel sheet, the cooling water does not evaporate easily. Therefore, the surface of the coiled steel sheet becomes wet with water, and if it is left as it is, rust may occur on the surface.

[0009] If rust occurs on the coiled steel sheet, its appearance is marred, and the coiled steel sheet cannot be shipped as a product. Even if cooling water is not sprayed, condensation may form on the coiled steel sheet, especially in the seasons from winter to early spring when the outside temperature is low, and condensation may cause rust.

[0010] Therefore, various measures for cooling the steel sheet are disclosed in the following Patent Documents 1 to 3. For example, as in the technology described in Patent Document 1, a water-cooling method for a hot-rolled coil is proposed in which the temperature and humidity around the coil are measured and the amount of cooling water sprayed to cool the coil is controlled so that the surface of the hot-rolled steel sheet constituting the coil does not get wet.

[0011] On the other hand, the technique described in Patent Document 2 also proposes a cooling method for hot-rolled coils in which cooling nozzles are arranged on both end faces of each coil in the width direction, and cooling is performed from both sides using the respective cooling nozzles.

[0012] Furthermore, as in the technology described in Patent Document 3, a cooling method for a coiled hot-rolled steel sheet has also been proposed in which, when cooling the coiled steel sheet after it has been wound by a winding machine installed in a hot rolling line, cooling is performed by intermittently spraying cooling mist onto both widthwise ends of the coiled steel sheet. [Prior art documents] [Patent documents]

[0013] [Patent Document 1] Japanese Patent Application Publication No. 57-134207 [Patent Document 2] Japanese Patent Application Publication No. 5-177240 [Patent Document 3] JP 2013-188753 A Summary of the Invention [Problem to be solved by the invention]

[0014] However, the water-cooling method of hot-rolled coils described in Patent Document 1 has the problem that cooling water is sprayed onto the coils from the ceiling of the coil storage area, which is far away from the coils, resulting in low coil cooling capacity and inefficient coil cooling.

[0015] In addition, the water-cooling method for hot-rolled coils described in Patent Document 2 uses only one cooling nozzle on each of both widthwise end faces of a single hot-rolled coil, so that minute droplets (hereinafter, such "minute droplets" will be referred to as "mist" as appropriate) coming out of the cooling nozzles do not spread sufficiently to both widthwise end faces of the hot-rolled coil. In other words, since the cooling area is small, it is difficult to cool the entire hot-rolled coil. As a result, the water-cooling method for hot-rolled coils described in Patent Document 2 has a problem of reduced coil cooling efficiency.

[0016] In order to improve the cooling capacity for the coiled steel sheet, it is important to increase the spray flow rate of the mist per unit area. However, when the spray flow rate is increased, the mist becomes difficult to evaporate due to an increase in humidity around the coiled steel sheet and a decrease in the temperature of the coil surface.

[0017] As a result, the mist that does not evaporate is likely to adhere to the coil. In particular, when the surface temperature of the coiled steel sheet is below 100°C, the mist that adheres to the coil is unlikely to evaporate, making the coil surface prone to becoming wet, which may induce rust.

[0018] In order to prevent the coil surface from getting wet during water cooling, it is believed that using mist with small particle size is effective because the smaller the particle size of the mist, the smaller the amount of heat required for evaporation, making it easier to evaporate.

[0019] On the other hand, if the particle size of the mist is made smaller, the mist may be diffused by the influence of the wind around the coiled steel sheet, and the mist may easily miss the coiled steel sheet to be cooled. In addition, the spray distance from the mist nozzle to the coil becomes shorter, which may cause a problem that the sprayed mist may not reach the coiled steel sheet in the first place.

[0020] Here, the cooling method for coiled hot-rolled steel sheet described in Patent Document 3 is a method in which cooling mist is constantly sprayed from a mist nozzle onto the coiled steel sheet, and a blower is also used to oscillate so that the cooling mist is carried by an air current and intermittently blown onto the width direction ends of the coiled steel sheet.

[0021] However, even with this method, the coiled hot-rolled steel sheet may not be cooled properly due to the above-mentioned problems, and may even lead to an increase in humidity in the surroundings other than the coiled steel sheet being cooled. In particular, the coil that has been completely cooled by the above-mentioned cooling method for the coiled hot-rolled steel sheet is condensed, increasing the risk of rusting of the coil.

[0022] Therefore, in order to cool the coiled steel sheet without causing rust, it is necessary to appropriately manage the temperature, humidity, etc., and it is also necessary to control the cooling device in consideration of cooling the coiled steel sheet more quickly. In order to perform such control, more appropriate control can be performed if there is a prediction model that predicts the cooling completion time of the coiled steel sheet and the state in which condensation occurs, for example.

[0023] The present invention has been made with attention to the above-mentioned points, and aims to provide cooling equipment for coiled steel plate which makes it possible to achieve both suppression of wetting of the surface of the coiled steel plate and improvement of the cooling capacity of the coiled steel plate, does not cause rust on the coiled steel plate, and can cool the coiled steel plate with high efficiency. [Means for solving the problem]

[0024] The cooling equipment for coiled steel plate in an embodiment of the present invention comprises a cooling mist generator that sprays cooling mist, a cooling fan that is arranged at an interval sufficient to enable the air cooled by the evaporation of the cooling mist sprayed by the cooling mist generator to be sucked in and that blows air onto the coiled steel plate placed on the cooling bed, and a control device that controls the operation of the cooling mist generator and the cooling fan, and the control device controls the cooling mist generator and the cooling fan based on the set control content so that the cooling mist generator sprays cooling mist and the cooling fan sucks in the air cooled by the evaporation of the cooling mist sprayed by the cooling mist generator and blows it onto the coiled steel plate placed on the cooling bed.

[0025] In the coiled steel plate cooling equipment of an embodiment of the present invention, the control device comprises an information acquisition unit that acquires component information of the coiled steel plate, operating parameters of the coiled steel plate, and performance data in the manufacture of the coiled steel plate, and a learning unit that uses the component information and operating parameters acquired by the information acquisition unit as input data and the performance data as training data to generate a predictive model by machine learning to predict the state of the coiled steel plate in the cooling bed.

[0026] In addition, the operational parameters used in the cooling equipment for the coiled steel plate in the embodiment of the present invention are the dimensions and temperature of the coiled steel plate, the flow rate of the cooling medium used during cooling, and the flow rate of the cooling medium around the coiled steel plate. Effect of the Invention

[0027] The cooling equipment for the coiled steel plate according to the embodiment of the present invention as described above makes it possible to suppress wetting of the surface of the coiled steel plate while improving the cooling capacity of the coiled steel plate, and can cool the coiled steel plate with high efficiency without causing rust on the coiled steel plate. [Brief description of the drawings]

[0028] [Figure 1] FIG. 2 is a perspective view showing an entire building in which the coiled steel plate is cooled in the embodiment of the present invention. [Diagram 2] FIG. 2 is an explanatory front view of a building in which the coiled steel plate is cooled in an embodiment of the present invention. [Diagram 3] 2 is a block diagram showing an internal configuration of a control device according to an embodiment of the present invention. FIG. [Figure 4] 4 is a flowchart showing a flow of machine learning performed by a control device in an embodiment of the present invention to generate a model for predicting the cooling completion time of a coiled steel sheet or the occurrence of condensation. [Diagram 5] 5 is a flowchart showing a flow in which a control device controls cooling equipment using a prediction model generated when predicting the cooling completion time of a coiled steel sheet or the occurrence of condensation in an embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0029] Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. Note that, in the content described below, the coiled steel sheet to be cooled may be either a hot-rolled steel sheet or a cold-rolled steel sheet, and is not limited to either. Therefore, in the following description, no particular distinction is made and the steel sheet will simply be referred to as a "coiled steel sheet".

[0030] In addition, the method of generating a predictive model for a coiled steel sheet and the method of cooling a coiled steel sheet in the embodiment of the present invention described below are used when a coiled steel sheet S is formed by being wound by a winding machine attached to or installed in a hot rolling line, a cold rolling line, or other pickling or annealing equipment, and is placed on a cooling bed to be cooled.

[0031] Fig. 1 is a perspective view showing an entire building B in which a coiled steel sheet S is cooled in an embodiment of the present invention. In Fig. 1, in order to clarify the inside of the building B, the building B itself is shown by a dashed line. 。

[0032] On the other hand, Fig. 2 is an explanatory diagram showing a building B in which the coiled steel plate S is cooled in the embodiment of the present invention from the front. In Fig. 2, the building B is shown by a solid line, unlike Fig. 1. Also, the flow of air sent from a cooling fan described later toward the coiled steel plate S is shown by a broken line.

[0033] In addition, in the embodiment of the present invention, building B is formed in a rectangular shape as shown in Figures 1 and 2, but the structure of building B may be any type and is not limited to the structure shown in Figure 1, etc.

[0034] As shown in Fig. 1, the building B is composed of a cooling bed CF on which the coiled steel sheet S to be cooled is placed, walls surrounding the cooling bed CF on all four sides, and a ceiling R provided at a position facing the cooling bed CF. Note that in Fig. 1 and other figures, structures that are not necessary for explaining the cooling method of the coiled steel sheet S in the embodiment of the present invention are omitted.

[0035] In Fig. 1 etc., the entire floor surface of the building B is used as a cooling bed CF for cooling the coiled steel sheet S. However, it is possible to arbitrarily set the extent to which an area of ​​the building B is used as the cooling bed CF. Furthermore, the building B itself does not have to be a building dedicated to cooling the coiled steel sheet S.

[0036] Coiled steel plates S are placed on the cooling bed CF. This is placed inside the building B in order to cool the coiled steel plates S to a desired temperature. In Fig. 1, three rows of five coiled steel plates S are placed on the cooling bed CF. However, the number of coiled steel plates S placed on the cooling bed CF can be arbitrarily set depending on the operation.

[0037] When a plurality of coiled steel sheets S are arranged between cooling equipment C such as a cooling mist generator 1 and a cooling fan 2 described below, the coiled steel sheets S are preferably spaced apart, for example, by about 1 to 2 m.

[0038] The cooling bed CF shown in Fig. 1 is shown in a state in which the direction of the rotation axis when winding the coiled steel sheet S, i.e., the coil central axis, is placed in the left-right direction in the drawing. On the other hand, the cooling bed CF shown in Fig. 2 is shown in a state in which the central axis is perpendicular to the left-right direction in the drawing. In other words, the coiled steel sheet S may be placed in either direction on the cooling bed CF.

[0039] For convenience of drawing, the size of each coiled steel sheet S placed on the cooling bed CF is the same, but the size of the coiled steel sheet S to be cooled may be any size. As described above, the coiled steel sheet S may be a coiled hot-rolled steel sheet or a coiled cold-rolled steel sheet.

[0040] In Fig. 1, cooling equipment C for cooling the coiled steel plate S is provided at a position parallel to the central axis of the coiled steel plate S, i.e., on both sides of the row in which the coiled steel plates S are arranged. The cooling equipment C is composed of at least a cooling mist generator 1 and a cooling fan 2.

[0041] First, the cooling mist generator 1 generates a cooling mist, which is a cooling medium used to cool the coiled steel sheet S. Any liquid may be used as the cooling mist, but water is preferably used in view of the workability in the cooling bed CF, cost, ease of availability, and the like.

[0042] The method of generating the cooling mist in the cooling mist generator 1 may be either a one-fluid method or a two-fluid method. For example, when a two-fluid method is adopted, the volume ratio of the gas constituting the cooling mist to the cooling liquid (i.e., the "air-water ratio") can be set in the range of 10 to 1000, taking into consideration certain conditions.

[0043] The cooling fan 2 draws in air (cooling medium) that has been cooled by the evaporation of the cooling mist sprayed from the cooling mist generator 1 as described below, and sends it to the coiled steel plate S placed on the cooling bed CF. Therefore, the cooling fan 2 is disposed in front of the cooling mist generator 1, i.e., downwind, so that the air from the cooling fan 2 can be sent to the coiled steel plate S.

[0044] The cooling fan 2 is installed at a position, for example, about 1 m away from the coiled steel plate S. If the cooling fan 2 and the coiled steel plate S are placed too close to each other, there is a risk that the cooling fan 2 will be damaged by the heat of the coiled steel plate S that is the target for cooling.

[0045] On the other hand, the distance between the cooling fan 2 and the cooling mist generator 1 is preferably large enough to allow the cooling mist to evaporate and prevent the cooling mist from diffusing and not being sucked in by the cooling fan 2, approximately 1 to 2 m being a guideline.

[0046] Furthermore, the cooling mist sprayed from the cooling mist generator 1 is adapted to evaporate before being sucked into the cooling fan 2. In other words, the cooling fan 2 blows a gas consisting of air cooled by the evaporation of the cooling mist and the surrounding air or gas, toward the coiled steel plate S, which is the object to be cooled.

[0047] This is because if the cooling mist sprayed from the cooling mist generator 1 is sent to the coiled steel plate S via the cooling fan 2 without evaporating, the cooling mist adhering to the coiled steel plate S increases the risk of rust occurring, especially at low temperatures.

[0048] Here, heat removal from the coiled steel plate S, i.e., cooling, is achieved by two types of heat transfer: radiation and convection. Of these, radiation is expressed as the product of the emissivity and the difference between the fourth power of the absolute temperature of the surface of the coiled steel plate S and the fourth power of the absolute temperature of the surroundings. On the other hand, convection is expressed as the product of the convection heat transfer coefficient and the difference between the surface temperature of the coiled steel plate S and the surrounding air temperature. Therefore, the effect of radiation is greater when cooling high-temperature objects, and the effect of convection is greater when cooling low-temperature objects.

[0049] In addition, when focusing on the time required for cooling the coiled steel sheet S, there is a tendency that the time required for cooling to be completed from a low temperature, particularly from 100°C or less, to a desired temperature, tends to be long. Therefore, it is important to improve the cooling capacity by convection, which has a large effect on cooling at low temperatures as described above.

[0050] Among the above mentioned conditions, the convection cooling capacity can be improved by increasing the convection heat transfer coefficient and lowering the surrounding air temperature. The convection heat transfer coefficient can be improved by installing a cooling fan, and the surrounding air temperature can be lowered by spraying cooling mist.

[0051] In this way, by increasing the convection heat transfer coefficient by the cooling fan, the evaporation rate of the condensed water can be increased, so that even if condensation occurs on the coiled steel plate S, the occurrence of rust can be suppressed.

[0052] On the other hand, experiments have shown that when the cooling mist evaporates, the latent heat of vaporization reduces the air temperature by about 5°C. In this way, the spraying of cooling mist from a cooling mist generator contributes to improving the cooling capacity of convection, especially at low temperatures.

[0053] From the above viewpoints, the method for cooling a coiled steel sheet in the embodiment of the present invention uses at least a cooling mist generator 1 and a cooling fan 2 as the cooling equipment C. Furthermore, based on the cooling concept as described above, the cooling mist sprayed by the cooling mist generator 1 is not sent to the coiled steel sheet S as it is, but the air that has been cooled by first evaporating it is sent to the coiled steel sheet S via the cooling fan 2.

[0054] By using such a cooling method, it is possible to reduce the occurrence of rust caused by the adhesion of cooling mist to the coiled steel plate S, and even if condensation occurs on the coiled steel plate S, it is possible to prevent the surface of the coiled steel plate S from becoming wet because air is blown from the cooling fan 2. In addition, because lower temperature air is blown to the coiled steel plate S via the cooling fan 2, it is possible to more effectively cool the coiled steel plate S.

[0055] Therefore, the upper limit of the flow rate of the cooling mist sprayed from the cooling mist generator 1 is the amount at which the cooling mist can evaporate before reaching the cooling fan 2. If the flow rate of the cooling mist is too high, the relative humidity around the coiled steel plate S increases, and when the relative humidity reaches 100%, the cooling mist sprayed from the cooling mist generator 1 cannot evaporate completely.

[0056] On the other hand, if the flow rate of the cooling mist is small, the cooling capacity will be insufficient because the cooling mist will not be able to cool the air sufficiently due to the heat of vaporization caused by the evaporation of the cooling mist. Therefore, it is necessary to adjust the balance between the airflow rate of the cooling fan 2 and the amount of cooling mist sprayed by the cooling mist generator 1 to control the relative humidity in the cooling bed CF.

[0057] As described above, in the coiled steel sheet cooling method according to the embodiment of the present invention, the cooling mist sprayed from the cooling mist generator 1 evaporates, and the cooled air is sent to the coiled steel sheet S via the cooling fan 2 to cool the coiled steel sheet S. For this reason, it is desirable that the particle diameter of the cooling mist, i.e., the diameter of the droplets sprayed from the cooling mist generator 1, is 40 μm or less. If the particle diameter of the cooling mist is 40 μm or less, the cooling mist evaporates in approximately 1 second.

[0058] On the other hand, the larger the particle diameter of the cooling mist, the longer it takes for the cooling mist to evaporate. Therefore, if the particle diameter of the cooling mist is larger than 40 μm, the efficiency of evaporation of the cooling mist is poor, and the cooling of the air by the heat of vaporization is insufficient. If the cooling mist is sucked into the cooling fan 2 without evaporating, there is a high possibility that the cooling mist will adhere to the coiled steel plate S without evaporating, increasing the risk of rust.

[0059] The particle size of the cooling mist is preferably as described above, but if the ease of evaporation is taken into too much consideration, the amount of cooling mist sprayed will be small, which will inevitably result in a small amount of evaporation. Therefore, in such cases, it is desirable to spray a large amount of cooling mist with a small particle size.

[0060] Furthermore, in the method for cooling the coil-shaped steel sheet S in the embodiment of the present invention, the cooling mist generator 1 intermittently sprays the cooling mist and stops spraying the cooling mist, and the spraying is controlled to be alternately repeated for a certain period of time. The spray interval can be set according to the target cooling time for the coil-shaped steel sheet S.

[0061] In this way, by alternately repeating the spraying and stopping of spraying of the cooling mist for a certain period of time, it is possible to suppress an increase in humidity around the coil-shaped steel sheet S compared to the case where spraying is continuous. More preferably, since the risk of condensation increases as the temperature of the coil-shaped steel sheet S decreases, it is possible to easily suppress rust by setting the spraying interval of the cooling mist to be longer.

[0062] When the coiled steel sheet S has reached a sufficiently low temperature and cooling has been completed, it is preferable to stop spraying the cooling mist from the cooling mist generator 1 from the viewpoints of running costs and the risk of condensation.

[0063] Here, when the cooling mist evaporates, the humidity increases, particularly around the coiled steel sheet S. If the humidity increases, condensation occurs especially when the coiled steel sheet S is at a low temperature, making it more likely to rust. Therefore, an increase in humidity is undesirable.

[0064] Since warm air rises, it is possible to suppress an increase in humidity by installing an exhaust fan on the ceiling R of the cooling floor CF and actively exhausting the air from the cooling floor CF, for example, outside of building B.

[0065] For example, when the temperature of the cooling bed CF is 40°C, the relative humidity is 90%, and the dew point is 38°C, the coiled steel plate S will condense at temperatures below 38°C. Therefore, when cooling causes the surface temperature of the coiled steel plate S to drop by 2°C relative to the temperature around the coiled steel plate S, or when the relative humidity reaches 100%, condensation will occur on the surface of the coiled steel plate S, so it is necessary to exhaust the air around the cooling bed CF to reduce the humidity.

[0066] Therefore, in the cooling equipment C for the coiled steel plate S in the embodiment of the present invention, roof fans RF are provided on the ceiling R of the building B. That is, as shown in Fig. 1 and Fig. 2, for example, three roof fans RF are provided in the building B. The number of roof fans RF to be provided can be freely set. Also, although the roof fans RF are installed in a row on the ceiling R as shown in Fig. 1, the arrangement positions of the roof fans RF can also be freely set.

[0067] In Figure 2, the dashed lines show the movement of wind when the cooling equipment C consisting of the cooling mist generator 1, the cooling fan 2, and the roof fan RF is in operation. As shown in Figure 2, the cooling mist generator 1 and the cooling fan 2 are arranged on both sides of the coiled steel plate S placed in a row.

[0068] The cooling mist sprayed from the cooling mist generator 1 evaporates between the cooling mist generator 1 and the cooling fan 2, thereby cooling the surrounding air. The cooling fan 2 sucks in this cooled air and blows it out together with the surrounding gas, sending it to the coiled steel plate S. The gas sent from the cooling fan 2 toward the coiled steel plate S is exhausted from the roof fan RF to the outside of the building B, including the air around the cooling bed CF, as shown by the dashed arrow in Figure 2.

[0069] Furthermore, the cooling mist generator 1 and cooling fan 2 described above can be controlled based on information obtained by grasping the conditions inside building B using a measuring device 3. Figures 1 and 2 show a state in which a thermometer 3a and a video camera 3b are installed on the wall of building B as an example of the measuring device 3. A hygrometer may also be provided separately.

[0070] If the temperature and humidity can be grasped using such a measuring device 3, the dew point can be estimated. This makes it possible to grasp the risk of condensation occurring on the coiled steel sheet S and control the cooling equipment C, such as the cooling mist generator 1 and the cooling fan 2. In addition, based on the information on temperature and the like grasped by the measuring device 3, it becomes possible to remove the coiled steel sheet S from the cooling bed CF before condensation occurs.

[0071] Since a large number of coiled steel sheets S are arranged on the cooling bed CF, it is preferable to use, for example, a radiation thermometer as the thermometer 3a used for temperature measurement. Also, a two-dimensional radiation thermometer may be used to measure the temperatures of a plurality of coiled steel sheets S with one device. The measurement position is preferably a plane perpendicular to the central axis of the coiled steel sheet S, i.e., a plane formed by its widthwise ends.

[0072] This is because the surface of the coiled steel sheet S that is made up of the width ends has poor thermal conductivity because the steel sheets are stacked in the radial direction. In addition, the outermost and innermost circumferences may be loosely wound, which may further worsen thermal conductivity. When thermal conductivity is poor like this, it is difficult to transmit the temperature from the inside, making it necessary to underestimate the temperature, making accurate measurement difficult. Therefore, we measure the surface that is made up of the width ends, which allows us to reliably measure the temperature of the coiled steel sheet S without such problems.

[0073] Furthermore, here, a video camera 3b is also provided as the measuring device 3. By providing such a video camera 3b, it becomes possible to directly observe the coiled steel sheet S, and therefore it is also possible to directly judge whether or not condensation has occurred. Furthermore, as will be described later, information from the video camera 3b can also be used when generating a model for predicting the occurrence of condensation on the coiled steel sheet S.

[0074] Although the video camera 3b is used here as a measuring device for observing the occurrence of condensation, any type of imaging device may be used as long as it can capture images. In addition, the timing of the measurement process by the measuring device 3 can be set arbitrarily, such as constant measurement or measurement at predetermined time intervals.

[0075] As described above, the cooling equipment C in the embodiment of the present invention is composed of the above-mentioned cooling mist generating device 1, cooling fan 2, measuring device 3, and roof fan RF, and also includes a control device 4 for controlling this cooling equipment C.

[0076] 3 is a block diagram showing an internal configuration of the control device 4 in the embodiment of the present invention. The control device 4 includes an information acquisition unit 41, a learning unit 42, a storage unit 43, a cooling condition calculation unit 44, and a cooling condition output unit 45. The control device 4 controls the operation of each device constituting the above-mentioned cooling equipment C, generates a prediction model to be referred to during control by machine learning, and further updates the generated prediction model.

[0077] Examples of the predictive model include a predictive model used to predict the cooling completion time of the coiled steel sheet and a predictive model used to predict the occurrence of condensation on the coiled steel sheet.

[0078] That is, the cooling completion time prediction model for the coiled steel plate is a model that predicts the time until the coiled steel plate S is cooled by the cooling equipment C on the cooling bed CF and reaches the cooling completion temperature. On the other hand, the condensation occurrence prediction model for the coiled steel plate is a model that predicts whether or not condensation occurs on the coiled steel plate S in the process of cooling the coiled steel plate S on the cooling bed CF.

[0079] In addition, the control device 4 shown in Figure 3 only shows functions related to the method of generating a predictive model for the coiled steel sheet and the cooling method for the coiled steel sheet, which will be described below, and various other functions are not shown.

[0080] Therefore, the control device 4 may have a configuration in which, for example, a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and an input / output interface are connected via a bus, which are not shown in Fig. 3. Moreover, the input / output interface may be connected to each of the above-mentioned units, as well as each of the units such as a display unit, a communication control unit, or an input unit.

[0081] The control device 4 is also connected to a host computer 5 and a database 6. The host computer 5 is a computer that connects the control device 4 that controls the cooling treatment of the coiled steel sheet S in the building B equipped with the above-mentioned cooling bed CF, as well as control devices used in each manufacturing process of the coiled steel sheet S.

[0082] On the other hand, the database 6 stores various information related to the manufacture of the coiled steel sheet S. The database 6 can be accessed by the host computer 5 as well as by control devices in each manufacturing process. Therefore, it is depicted outside the control device 4 in FIG. 3 as well.

[0083] Therefore, for example, information from the host computer 5 is transmitted to the database 6 and stored therein, and the host computer 5 can access the database 6 to obtain necessary information. In addition, as will be described later, information on the set cooling conditions from the control device 4 and the cooling equipment C and information on values ​​measured by the measuring device 3 are also transmitted to and stored in the database 6.

[0084] The information acquiring unit 41 acquires, for example, information related to the temperature measured by the measuring device 3, the state of condensation generation, etc. The information acquiring unit 41 also acquires various information related to the coiled steel plate S to be cooled from the host computer 5. Specifically, the information acquiring unit 41 acquires component information of the coiled steel plate S, operational parameters of the coiled steel plate S, and performance data in the manufacture of the coiled steel plate S, as will be described later.

[0085] The learning unit 42 generates a prediction model for the cooling completion time of the coiled steel sheet S and a prediction model for the occurrence of condensation on the coiled steel sheet S by performing machine learning. That is, the learning unit 42 generates a prediction model by machine learning that predicts the state of the coiled steel sheet S on the cooling bed using the component information and the operation parameters acquired by the information acquisition unit 41 as input data and the performance data as teaching data.

[0086] Here, the "composition information" refers to the components contained in the coiled steel sheet S, and is information that determines the transformation temperature and phase fraction before and after the transformation of the coiled steel sheet S. Therefore, the composition information is essential for predicting the transformation of the coiled steel sheet S.

[0087] In general steel, the transformation is almost complete before coiling, but for example, high-tensile steel sheets contain a large amount of quenching elements such as manganese (Mn), and the transformation may not progress sufficiently depending on the temperature conditions before coiling. In such cases, the temperature history of the coiled steel sheet S after coiling changes due to the influence of the transformation. Therefore, this information is necessary for predicting the cooling completion time and the occurrence of condensation.

[0088] Since the component information differs for each coiled steel sheet S, the information is acquired from the host computer 5 by the information acquisition unit 41.

[0089] The "operation parameters" are values ​​used in the cooling process of the coiled steel sheet S on the cooling bed CF. Although it is certainly preferable to use various values ​​set based on information on a target cooling completion time as described later, it is also possible to use values ​​obtained by performing calculation processing in the cooling condition calculation unit 44, for example.

[0090] The information used as "operational parameters" is, for example, "the width of the coil-shaped steel plate S," "the outer diameter of the coil-shaped steel plate S," "the flow rate of the mist in the cooling equipment C (cooling mist generating device 1)," "the wind speed of the gas blown by the cooling fan 2," "the wind speed around the coil-shaped steel plate S on the cooling bed CF," and "the temperature value measured for the coil-shaped steel plate S."

[0091] In addition to the above-mentioned operational parameters, "temperature of the cooling bed" and "humidity of the cooling bed" may be added. Furthermore, by taking into consideration the wind speed of the gas around the coiled steel plate S, the prediction accuracy of the low temperature side where the contribution of convection heat transfer is greater is improved.

[0092] Among these, the "width" and "outer diameter" of the coiled steel plate S are information acquired for each cooling target from the host computer 5. The "flow rate of the mist in the cooling equipment C" and the "wind speed of the gas blown by the cooling fan 2" are values ​​when the control device 4 controls the drive of the cooling mist generator 1 and the cooling fan 2 when cooling the coiled steel plate S.

[0093] Here, the reason why information on "wind speed around the coiled steel plate S of the cooling bed CF" is also collected is that, as described above, convection heat transfer is a more effective condition, particularly when the surface of the coiled steel plate S is at a low temperature, and this is a necessary parameter for accurate prediction. From this viewpoint, therefore, by further adding the temperature and humidity of the cooling bed CF and the exhaust flow rate of the roof fan RF, as described above, more accurate prediction is possible.

[0094] Incidentally, the term "around the coiled steel sheet S" as used herein means that it is preferable to measure closer to the coiled steel sheet S, although this depends on the heat resistance of the measuring device. Specifically, the measurement is performed at a position about several hundred mm away from the coiled steel sheet S, more practically about 500 mm away.

[0095] The temperature of the coiled steel plate S is measured by the thermometer 3a shown in Figures 1 and 2. The place where the temperature is measured is preferably the surface formed by the widthwise end of the coiled steel plate S. The temperature of the coiled steel plate S is used to grasp the temperature history of the coiled steel plate S during the cooling process, and since it changes depending on the position where the coiled steel plate S is placed and the arrangement of the surrounding coiled steel plates S, it is preferable to obtain the temperature for as many coiled steel plates S as possible.

[0096] In addition to the information described above, the input data may include various kinds of information stored in the database 6. This is because it is possible that the accuracy of predicting the cooling completion time may be improved by using, as input data, operation performance data that may directly or indirectly affect the temperature history of the coiled steel sheet S. Examples of the various kinds of information include environmental information such as the outside temperature, humidity, and weather at the location of the cooling bed CF.

[0097] On the other hand, the performance data in the manufacture of the coiled steel sheet S used as the teaching data is, for example, information actually obtained by the measuring device 3 while the process of cooling the coiled steel sheet S has been performed up to now.

[0098] For example, the performance data used when generating a prediction model for the cooling completion time of the coiled steel sheet S is information on the temperature measured by the thermometer 3a and information on the cooling completion time calculated from that information.

[0099] That is, the temperature during the cooling process is measured by the thermometer 3a for each coiled steel plate S, or for each area set in the cooling bed CF on which the coiled steel plate S is placed. Since the time when the coiled steel plate S to be cooled is carried into the building B is stored in the database 6, it is possible to know the cooling time required to reach a temperature at which it is determined that cooling is complete.

[0100] Furthermore, when generating a prediction model for predicting the occurrence of condensation, for example, information on the state of the surface of the coiled steel sheet S photographed by the video camera 3b becomes actual data. In other words, the occurrence of condensation can be grasped from the information based on the video camera 3b, and other information linked to the information based on the video camera 3b at that time becomes teacher data.

[0101] The learning unit 42 uses the component information and the operation parameters as input data and the performance data as teacher data to generate a prediction model by machine learning. Specifically, the learning unit 42 uses a machine learning algorithm to generate a prediction model for the cooling completion time or the occurrence of condensation.

[0102] As the machine learning algorithm, for example, a neural network, decision tree learning, random forest, support vector regression, etc. may be adopted. Furthermore, the prediction of the cooling completion time and the occurrence of condensation may not be made into a separate prediction model, but may be configured as an ensemble model combining these prediction models.

[0103] Furthermore, the various performance data stored in the database 6 can be used not only to construct the learned cooling completion time and condensation occurrence prediction model described above, but also as training data. These performance data may be data measured by the various measuring devices 3 as described above.

[0104] The timing of the learning unit 42 to perform machine learning can be set arbitrarily, for example, at any time or at a predetermined interval. Also, the host computer 5 may provide the teaching data read from the database 6 to the cooling completion time prediction model and the condensation occurrence prediction model, causing the learning unit 42 to perform machine learning.

[0105] The cooling completion time prediction model and the condensation occurrence prediction model generated (constructed) by the learning unit 42 are stored, for example, in the memory unit 43 and are used for control when cooling the coil-shaped steel plate S.

[0106] Here, the memory unit 43 is composed of, for example, a semiconductor or a magnetic disk, and stores therein the above-mentioned cooling completion time prediction model and condensation occurrence prediction model, as well as programs used by the cooling condition calculation unit 44 described later when setting the model.

[0107] As shown in FIG. 3, the control device 4 in the embodiment of the present invention has been described assuming that it has a memory unit 43 provided therein. However, the memory unit 43 may not be provided inside the control device 4, and for example, the database 6 may be configured to perform its function, and the configuration method may be freely selected.

[0108] The cooling condition calculation unit 44 sets the control contents for driving each cooling equipment C when cooling the coiled steel plate S placed on the cooling floor CF in the building B. That is, based on information on the target cooling completion time received from the upper computer 5, for example, it sets input data required for driving and controlling each part constituting the cooling equipment C, such as the cooling mist generator 1.

[0109] Specifically, for example, it is the amount (flow rate) of cooling mist sprayed for the cooling mist generator 1. Also, for the cooling fan 2 and roof fan RF, the control content is set so as to achieve a predetermined wind speed.

[0110] Furthermore, the cooling process of the coiled steel plate S is performed for each cooling area set on the cooling floor CF of the building B. Therefore, when the cooling condition calculation unit 44 executes such a process, the control contents are set for each of these areas. At this time, in many cases, multiple coiled steel plates S are present in the cooling area, and in such a case, for example, the control contents of the cooling equipment C are set based on the coiled steel plate S that is most susceptible to rusting so as to prevent rust from occurring in such coiled steel plate S.

[0111] The cooling condition calculation unit 44 then applies each of the set conditions to a prediction model for the cooling completion time obtained from the memory unit 43 and a prediction model for determining whether or not condensation will occur, and calculates predicted values ​​for the cooling completion time and whether or not condensation will occur.

[0112] As a result, it is determined whether the cooling completion time has been achieved in line with the target, and whether condensation has occurred is whether the coiled steel plate S can be cooled in a manner that prevents condensation from occurring.

[0113] If the desired result is not obtained as a result of the judgment, the control contents are reviewed and the calculation is repeated using each prediction model again so that the desired result is obtained. On the other hand, if the desired result is obtained, the cooling condition calculation unit 44 transmits a control signal to each cooling equipment C via the cooling condition output unit 45, and drives and controls the cooling equipment C based on the set input data.

[0114] The cooling condition output unit 45 transmits the input data received from the cooling condition calculation unit 44 to the cooling equipment C, and also transmits it to the database 6 to store it as teaching data. The cooling equipment C is driven based on the control signal set and output in the control device 4, and performs the cooling process of the coiled steel sheet S placed on the cooling bed CF. Furthermore, information on the control content may be transmitted from the cooling equipment C to the database 6.

[0115] According to the thus constructed method for generating the cooling completion time prediction model and the condensation occurrence prediction model, and the cooling method for the coiled steel plate S using these cooling completion time prediction model and the condensation occurrence prediction model, it is possible to predict and control with high accuracy the temperature history and condensation occurrence of the coiled steel plate S placed on the cooling bed while being cooled.

[0116] In addition, because the cooling equipment C is controlled in this manner, it becomes easier to grasp the time when the cooling of the coiled steel plate S to be cooled will be completed, which makes it easier to predict the schedule for removing the coiled steel plate S from building B, which also contributes to the management of shipments.

[0117] Furthermore, the above-mentioned learning unit 42 may further perform machine learning using the input data stored in the database 6, thereby updating the prediction model for the cooling completion time and the prediction model for the occurrence of condensation. By repeating such processing, the accuracy of each prediction model is improved, and it becomes possible to execute a cooling method for the coiled steel sheet S more precisely.

[0118] Furthermore, when controlling the cooling equipment C, if the input data used by the cooling condition calculation unit 44 to set the control content is, for example, an abnormal value, there is a high possibility that the result of applying it to the predicted data will also be an abnormal value, and in such a case, the administrator can be notified of this via the above-mentioned display unit, etc.

[0119] [Operation] Next, the flow of generating a prediction model for the cooling completion time and a prediction model for the occurrence of condensation in the control device 4, and the flow of control of the cooling equipment C using the generated prediction models will be explained with reference to Figures 4 and 5.

[0120] First, a flow for generating a prediction model for the cooling completion time and a prediction model for the occurrence of condensation is shown in Fig. 4. Fig. 4 is a flow chart showing a flow of machine learning performed by the control device 4 in the embodiment of the present invention to generate a model for predicting the cooling completion time of the coiled steel sheet S or the occurrence of condensation.

[0121] First, the control device 4 acquires input data (ST1). The input data is the same for generating a prediction model for the cooling completion time and for generating a prediction model for the occurrence or non-occurrence of condensation, and is, as described above, the component information and operation parameters of the coiled steel sheet S to be cooled.

[0122] Meanwhile, training data is also acquired (ST2). The training data is actual data, but in the case of a prediction model for the cooling completion time, it is information on the temperature measured by the thermometer 3a and information on the cooling completion time calculated from said information. On the other hand, in the case of a prediction model for the presence or absence of condensation, it is information on the surface state of the coiled steel sheet S photographed by the video camera 3b.

[0123] The learning unit 42 acquires the input data and teacher data, which are obtained by the host computer 5 accessing the database 6, by receiving them via the information acquisition unit 41. Alternatively, the learning unit 42 may acquire them by accessing the storage unit 43. 。

[0124] Then, the learning unit 42 executes machine learning using the obtained input data and teacher data (ST3). As for the algorithm used in the machine learning, any algorithm may be used as described above.

[0125] Then, the prediction model generated (constructed) as a result of the machine learning is transmitted to and stored in the storage unit 43 (ST4). Through the above, a prediction model for the cooling completion time and a prediction model for the presence or absence of condensation occurrence are generated.

[0126] Note that, here, the prediction model generated by the learning unit 42 performing machine learning is stored as is in the storage unit 43, but, for example, the learning unit 42 may evaluate whether the generated prediction model is appropriate or not. Depending on the result of the evaluation, the prediction model may be reconstructed.

[0127] Next, a flow of a cooling method for the coiled steel sheet S using each of the generated prediction models will be described. Fig. 5 is a flowchart showing a flow of the control device 4 controlling the cooling equipment C using the generated prediction models when predicting the cooling completion time of the coiled steel sheet S or the occurrence of condensation in the embodiment of the present invention.

[0128] When performing the cooling process of the coiled steel sheet S to be cooled, the control device 4 acquires information on a target cooling completion time from the host computer 5 (ST11). Then, the control device 4 sets input data for control so that the cooling process is completed at the received target cooling completion time (ST12).

[0129] Specifically, as described above, for example, the flow rate of the cooling mist in the cooling mist generator 1 and the air volume in the cooling fan 2 and the roof fan RF are set by the cooling condition calculation unit 44. Alternatively, it is also possible to adopt the conditions used in each prediction model stored in the storage unit 43 as input data.

[0130] The cooling condition calculation unit 44 then applies the input data set in this manner to a prediction model of the cooling completion time acquired from the storage unit 43, or a prediction model regarding the presence or absence of condensation (ST13).

[0131] By applying the input data to the prediction model in this manner, it is possible to predict the cooling completion time and also to predict whether or not condensation will occur on the coiled steel plate S under the cooling conditions.

[0132] The cooling condition calculation unit 44 checks the results of applying the input data to each prediction model. In other words, it checks against information on the target cooling completion time to determine whether the cooling process of the target coiled steel sheet S will be completed by the target cooling completion time and whether condensation will occur (ST14).

[0133] As a result, if the desired result cannot be obtained (NO in ST14), the input data is changed (ST15), and the process returns to step ST12 to set the input data and apply it to the prediction model.

[0134] On the other hand, if the desired result is obtained (YES in ST14), the cooling condition calculation unit 44 transmits the input data to the cooling condition output unit 45, which then transmits the input data to the cooling equipment C via the cooling condition output unit 45 (ST16). As a result, the cooling equipment C, such as the cooling mist generator 1, is driven and controlled based on the input data.

[0135] Additionally, the cooling condition output unit 45 transmits the input data as teacher data to the database 6 and stores it (ST17). Note that the input data to be used as teacher data may be transmitted to the storage unit 43, for example, and stored therein, instead of being transmitted to the database 6.

[0136] The control device 4 executes the series of processes described above, whereby the coiled steel sheet S is cooled by the cooling equipment C using a cooling method that uses a prediction model for the cooling completion time and a prediction model for the presence or absence of condensation.

[0137] Next, an example will be described of the prediction model for the cooling completion time and the flow of generating a prediction model for the occurrence or non-occurrence of condensation, which have been described so far, and a method for cooling a coil-shaped steel sheet S using cooling equipment C such as a cooling mist generator 1.

[0138] In this embodiment, a plurality of coil-shaped steel plates S were arranged at intervals of 1 m on the cooling bed CF as shown in Figures 1 and 2. Furthermore, a cooling mist generator 1 and a cooling fan 2 were arranged as cooling equipment C at both ends of the row of coil-shaped steel plates S. The positional relationship between the two is such that the cooling mist generator is arranged behind the cooling fan 2.

[0139] The coil-shaped steel plate S was cooled using this cooling equipment C. The coil-shaped steel plate S started to cool at 600°C, had a width of 1000 mm, and an outer diameter of 1950 mm. As shown in the figure, five coil-shaped steel plates S were arranged in one row, the temperature of the cooling bed CF was 30°C, and the relative humidity was 80%. Water was used as the raw material for the cooling mist, and its temperature was 30°C. The cooling of the coil-shaped steel plate S was stopped when the coil surface temperature reached 50°C.

[0140] Furthermore, as input data for generating the prediction model, the coiled steel plate S was used with a plate width of "800-1200mm", an outer diameter of "1800-2100mm", and the steel plate components were "C: 0.01-0.1%, Si: 0.1-1.0%, Mn: 0.5-2.0%". The same data set was also used as input data for predicting condensation.

[0141] The temperature of the steel sheet before coiling was used as input data for predicting the cooling completion time of the coiled steel sheet S. That is, for the temperature of the coiled steel sheet S, the temperature of the center of the steel sheet in the width direction was measured by a spot-type radiation thermometer before coiling, and the result of measuring the temperature of the upper surface of the steel sheet was used.

[0142] A prediction model for the cooling completion time was generated using the components contained in the coiled steel plate S and the operation parameters of the cooling equipment C as input data and temperature information from the thermometer 3a, which is the measuring device 3, as teaching data. In addition, using the same input data and information on the presence or absence of condensation captured by the video camera 3b as teaching data, a prediction model for condensation occurrence regarding the presence or absence of condensation on the coiled steel plate S was generated.

[0143] The cooling completion time and the occurrence of condensation were predicted for the coiled steel sheet S using a prediction model for the cooling completion time and a prediction model for the occurrence of condensation. Furthermore, the parameters of the cooling equipment C and the exhaust flow rates of the cooling fan 2 and the roof fan RF were adjusted so that the predicted cooling completion time would fall within a target range and condensation would not occur, and the drive control of the cooling equipment C was performed based on the control content.

[0144] As a result, the cooling of the coiled steel plate S, which was the object to be cooled, was completed within the target cooling completion time, while condensation was avoided, and rust was prevented. By using the above-mentioned method for generating the prediction model and the cooling method using the prediction model, the cooling time of the coiled steel plate S was ultimately optimized, and the shortage of space for the cooling bed was resolved.

[0145] The embodiments of the present invention described above are merely examples of the present invention. Various modifications or improvements can be made to each of these embodiments, and such modifications or improvements may also be included in the present invention. These embodiments and modifications are included in the scope and spirit of the invention, and are included in the scope of the invention and its equivalents as set forth in the claims. [Explanation of symbols]

[0146] 1 Cooling mist generator 2 Cooling fans 3. Measuring Equipment 3a thermometer 3b Video camera 4. Control device B building C Cooling equipment CF cooling bed RF Roof Fan S Coiled steel sheet

Claims

1. A cooling mist generating device that sprays cooling mist; a cooling fan that is disposed at an interval sufficient to suck in air cooled by evaporation of the cooling mist sprayed by the cooling mist generating device and that blows air onto the coiled steel plate placed on the cooling bed; A control device that controls the driving of the cooling mist generating device and the cooling fan; Equipped with The control device controls the cooling mist generator and the cooling fan based on the set control content so that cooling mist is sprayed by the cooling mist generator and the cooling fan draws in air that has been cooled by the evaporation of the cooling mist sprayed by the cooling mist generator and blows it onto the coiled steel plate placed on the cooling bed.

2. The control device includes: an information acquisition unit that acquires component information of a coiled steel sheet, operation parameters of the coiled steel sheet, and performance data in the manufacture of the coiled steel sheet; a learning unit that uses the component information and the operation parameters acquired by the information acquisition unit as input data and the performance data as training data to generate a prediction model by machine learning that predicts a state of the coiled steel sheet on the cooling bed; The cooling equipment for a coiled steel plate according to claim 1, further comprising:

3. 3. The cooling equipment for coiled steel plate according to claim 2, wherein the operational parameters are the dimensions and temperature of the coiled steel plate, the flow rate of the cooling medium used during cooling, and the flow rate of the cooling medium around the coiled steel plate.

4. The cooling equipment for a coiled steel plate according to claim 2 or 3, characterized in that the learning unit performs machine learning using at least one machine learning algorithm selected from the group consisting of neural network, decision tree learning, random forest, and support vector regression.

5. The control device further comprises:

5. The cooling equipment for a coiled steel plate according to claim 2, further comprising a cooling condition calculation unit that sets control contents for driving the cooling mist generating device and the cooling fan using the prediction model.

6. 6. The coiled steel sheet cooling equipment according to claim 1, wherein the cooling mist generating device is disposed behind the cooling fan in the direction of air blown to the coiled steel sheet.

7. 7. The cooling equipment for a coiled steel plate according to claim 1, wherein the particle diameter of the cooling mist sprayed by the cooling mist generating device is 40 μm or less.

8. The cooling equipment for the coiled steel plate includes an exhaust device that exhausts the air around the coiled steel plate, including the gas blown to the coiled steel plate by the cooling fan, to the outside of the cooling bed; 8. The cooling equipment for coiled steel plate according to claim 1, characterized in that the exhaust device is controlled based on control content set using a prediction model that predicts the state of the coiled steel plate on the cooling bed.

9. The cooling equipment for the coiled steel plate according to any one of claims 1 to 8, further comprising a measuring device for detecting the condition of the coiled steel plate and / or the cooling bed.

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