JP6795355B2 - Heating furnace charging material information presentation system - Google Patents

Description

The present invention relates to a heating furnace charging material information presentation system for presenting information on a hot rolled material charged into a heating furnace provided in front of a rolling mill.

In the hot rolling process, the slab, which is a material for hot rolling, is heated by a heating furnace, and the heated slab is rolled by a rolling mill. The slab has a different heating time, that is, a residence time in the heating furnace, depending on the thickness of the slab, the temperature of the slab before being charged in the heating furnace, and the like. Therefore, when a plurality of slabs are mixed and charged into a heating furnace, if the timing of completion of heating of each slab and the timing of starting rolling are not aligned, the rolling efficiency may decrease or wasteful heating time in the heating furnace may be reduced. It happens.

Patent Document 1 states that in a hot rolling facility including two or more heating furnaces and rolling mills, the total waiting time for extraction from the heating furnace and the total rolling time for a plurality of slabs should be as short as possible. Discloses a method of optimally planning the charging order of slabs for a heating furnace and presenting the planned charging order to the operator.

JP-A-2010-228003

In the method disclosed in Patent Document 1, since the optimum solution of the slab charging order for the heating furnace is presented as a processing plan, problems such as variation in slab heating in the heating furnace and abnormal occurrence in the rolling mill occur. In some cases, when machining did not proceed as planned, machining had to be interrupted in order to revise or recreate the plan.

The present invention has been made in view of such circumstances, and its main purpose is to charge the heating furnace so that the operator can be presented with information that can continue the processing even if a process problem occurs in the hot rolling process. The purpose is to provide a material information presentation system.

In order to solve the above-mentioned problems, the heating furnace charging material information presentation system according to one aspect of the present invention is a heating furnace for presenting information on the material to be charged into the heating furnace provided in the front stage of the rolling mill. In the charging material information presentation system, for each of the plurality of preheating materials before charging into the heating furnace, the heating is performed based on the difference between the heating material in the heating furnace and the preheating material. The degree of conformity regarding charging into the furnace is determined by the degree of conformity generation unit generated during the operation of the rolling mill and the heating furnace and the degree of conformity generated by the degree of conformity generation unit for each of the plurality of preheating materials. It is provided with a display unit for displaying during the operation.

In this aspect, the goodness-of-fit generation unit may be configured to generate the goodness of fit based on the material thickness difference, which is the difference between the thickness of the heated material and the thickness of the preheated material.

Further, in the above aspect, the goodness-of-fit generation unit is configured to generate the goodness of fit based on the ratio of the length and width of the heated material to the length and width of the preheated material. You may.

Further, in the above aspect, the goodness-of-fit generator has a charging temperature difference which is a difference between the charging temperature of the heating material immediately before being charged into the heating furnace and the temperature of the preheating material, and the heating. It may be configured to generate the goodness of fit based on a target temperature difference, which is the difference between the target temperature of the material and the target temperature of the preheated material.

Further, in the above aspect, the goodness-of-fit generation unit generates the goodness of fit based on the comparison result between the extraction time until the heating material is extracted from the heating furnace and the predicted heating time of the preheating material. It may be configured to do so.

Further, in the above aspect, the goodness-of-fit generation unit may be configured to determine the predicted heating time based on past cases in which the material is heated by the heating furnace.

Further, in the above aspect, the goodness-of-fit generation unit may be configured to generate the goodness of fit based on the difference between the material type of the heated material and the material type of the pre-heated material.

Further, in the above aspect, the heating furnace is configured so that a plurality of heating materials arranged in a predetermined arrangement direction can be repeatedly charged, and the goodness-of-fit generation unit is immediately before being arranged in the arrangement direction in the heating furnace. Of the plurality of heating materials charged into the furnace, the material type may be configured to generate the goodness of fit based on the ratio of the heating material that is the same as the material type of the preheating material.

Further, in the above aspect, the goodness-of-fit generation unit includes the ratio of the material in the furnace, which is the ratio of the material having the same material type as the material before heating, among the plurality of heating materials heated in the heating furnace, and the heating. The goodness of fit is further based on the stock material ratio, which is the ratio of the material before heating and the material of the same material type among the materials placed in the material storage place for placing a plurality of materials to be charged in the furnace. May be configured to generate.

Further, in the above aspect, the heating furnace charging material information presentation system determines whether or not each of the plurality of preheating materials can be heated by the heating furnace or rolled by the rolling mill, and the plurality of preheating materials are determined. Therefore, a selection unit for selecting a preheating material determined to be capable of heating or rolling is further provided, and the goodness-of-fit generation unit generates the goodness of fit for the preheating material selected by the selection unit. It may be configured.

According to the heating furnace charging material information presentation system according to the present invention, it is possible to present to the operator information that can continue the machining even if a process problem occurs in the hot rolling machining.

The schematic diagram which shows the structure of a rolling mill. The schematic diagram which shows the structure of the heating furnace charge material information presentation system which concerns on embodiment. The block diagram which shows the structure of the goodness-of-fit generator. The block diagram which shows the structure of the slab storage information storage device. The block diagram which shows the structure of the information storage device in a furnace. The block diagram which shows the structure of the rolling plan storage device. The block diagram which shows the structure of the goodness-of-fit display device. The flowchart which shows the operation procedure of the heating furnace charge material information presentation system which concerns on embodiment (the first half). The flowchart which shows the operation procedure of the heating furnace charge material information presentation system which concerns on embodiment (the latter half). A flowchart showing the procedure of the goodness-of-fit generation process. A flowchart showing the procedure of the goodness-of-fit calculation target selection process. The plan view which shows the internal structure of a heating furnace. A partial plan view of the inside of the first heating furnace showing a good charging example and a bad charging example of the slab. The flowchart which shows the procedure of the heating gap evaluation value determination processing. The flowchart which shows the procedure of the slab type goodness-of-fit calculation process. The schematic diagram which shows the installation example of a slab in a heating furnace and a slab storage place. The figure which shows an example of the display of the integrated goodness of fit.

Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings. It should be noted that each of the embodiments shown below exemplifies a method and an apparatus for embodying the technical idea of the present invention, and the technical idea of the present invention is not limited to the following. Absent. The technical idea of the present invention can be modified in various ways within the technical scope described in the claims.

In the present embodiment, information used for selecting a slab to be charged into the heating furnace is provided for a plurality of materials (slabs) before being charged into the heating furnace in a rolling mill provided with a heating furnace in front of the rolling mill. A heating furnace charging material information presentation system for presenting to the operator will be described. In this heating furnace charging material information presentation system, the goodness of fit for the heating furnace charging is generated for each of the plurality of slabs before being charged into the heating furnace, and the goodness of fit is displayed for each slab.

<Structure of rolling equipment>
FIG. 1 is a schematic view showing the configuration of a rolling mill. The rolling mill 10 is provided with a rolling mill 11 and a heating furnace 12 provided in front of the rolling mill 11. A slab storage area 13 is attached to the heating furnace 12, and a slab (hereinafter, referred to as “pre-heating slab”) 20 before being charged into the heating furnace 12 is placed in the slab storage area 13. In the slab storage place 13, a plurality of preheating slabs 20 are placed so as to be stacked, whereby a plurality of slab ridges 21 are formed.

The slab storage area 13 is provided with a crane 14 for moving the slab. The operator operates the crane 14 to transfer the preheating slab 20 from the slab storage area 13 and charge the slab 20 into the heating furnace 12.

The rolling equipment 10 includes two heating furnaces 12 of a first heating furnace 12a and a second heating furnace 12b. Each of the first and second heating furnaces 12a and 12b has two furnace rows which are heating passages. That is, the first heating furnace 12a has furnace rows A and B, and the second heating furnace 12b has furnace rows C and D. Each of the furnace rows A, B, C, and D has an inlet side (charge side) and an outlet side (extraction side), and transports the slab in the transport direction from the inlet side to the outlet side. Further, in each of the furnace rows A, B, C, and D, a plurality of slabs can be placed in a row in the transport direction. That is, a total of four slab rows are formed in the furnace rows A, B, C, and D (see FIG. 11).

In the operation room of the crane 14, a goodness-of-fit display device 600 of a heating furnace charging material information presentation system is installed. The goodness-of-fit display device 600 displays the goodness of fit of each pre-heating slab 20 to the heating furnace charge. The operator refers to the displayed goodness of fit and, in consideration of the predetermined rolling schedule, decides which preheating slab 20 to be charged in which furnace row, and puts the preheating slab 20 into the furnace row A. , B, C, D and charge.

The first and second heating furnaces 12a and 12b heat while transporting the slab in the transport direction. Hereinafter, the slabs heated by the first and second heating furnaces 12a and 12b are referred to as "heating slabs". The heating slab 22 is heated to the target temperature by the first and second heating furnaces 12a and 12b, and is extracted from the first and second heating furnaces 12a and 12b. The residence time of the slab in the heating furnace 12 depends on the temperature at the time of charging the slab into the heating furnace (hereinafter referred to as “charge temperature”), the target temperature, the slab type, the slab size (length, width, thickness), and the like. It is determined. In the present embodiment, there are two types of slabs, a having a fast rolling pitch and b having a slow rolling pitch. However, it is also possible to use three or more types of slabs such as cold piece slabs, hot piece slabs, azurol materials, and temperature control materials.

The slab extracted from the heating furnace 12 is rolled by the rolling mill 11. The rolling mill 11 has a rolling roll 11a. The rolling roll 11a has an upper limit of the number of slabs to be rolled, and when the upper limit is reached, the rolling roll 11a is replaced.

<Structure of material information presentation system for heating furnace>
FIG. 2 is a schematic view showing the configuration of the heating furnace charging material information presentation system according to the present embodiment. The heating furnace charging material information presentation system 100 includes a conformity generation device 200, a slab storage information storage device 300, an in-core information storage device 400, a rolling plan storage device 500, and a conformity display device 600. There is. The conformity generation device 200, the slab storage information storage device 300, the in-core information storage device 400, the rolling plan storage device 500, and the conformity display device 600 are communicably connected to each other by a LAN (Local Area Network).

The goodness-of-fit generator 200 has a function of generating a goodness of fit for the pre-heating slab 20 for charging into the heating furnace. FIG. 3 is a block diagram showing the configuration of the goodness-of-fit generator 200. The goodness-of-fit generator 200 is realized by the computer 210. As shown in FIG. 3, the computer 210 includes a CPU 211, ROM 212, RAM 213, a reading device 214, a hard disk 215, and a communication interface 216, and includes a CPU 211, ROM 212, RAM 213, a reading device 214, a hard disk 215, and a communication interface 216. Are communicatively connected to each other by a bus.

The CPU 211 executes the computer program loaded in the RAM 213. Then, the computer 210 functions as the goodness-of-fit generator 200 when the CPU 211 executes the goodness-of-fit generation program 220, which is a computer program for generating the goodness of fit of the heating furnace charge.

FIG. 4 is a block diagram showing the configuration of the slab storage information storage device 300. The slab storage information storage device 300 includes a CPU 301, a ROM 302, a RAM 303, a hard disk 305, and a communication interface 306. The hard disk 305 is provided with a slab storage information database (slab storage information DB) 310 that stores information on the slab 20 before heating mounted on the slab storage 13. The slab storage information DB 310 stores the position, size (length, width, thickness), slab type, slab blot classification, charging temperature, and target temperature at the slab storage 13 for each slab 20 before heating. The information recorded in the slab storage information DB 310 is updated when the preheating slab 20 is carried in and out of the slab storage 13.

FIG. 5 is a block diagram showing the configuration of the in-core information storage device 400. The in-core information storage device 400 includes a CPU 401, a ROM 402, a RAM 403, a hard disk 405, and a communication interface 406. The hard disk 405 is provided with an in-furnace information database (in-furnace information DB) 410 that stores information on the heating slabs 22 inside the first and second heating furnaces 12a and 12b. In the furnace information DB410, for each heating slab 22, the position, size (length, width, thickness) in the first and second heating furnaces 12a and 12b, slab type, slab blot classification, charging temperature, etc. The target temperature is stored. As for the information recorded in the in-furnace information DB 410, new slabs are charged into the first and second heating furnaces 12a and 12b, and the heating slabs 22 are extracted from the first and second heating furnaces 12a and 12b. It will be updated when it happens.

FIG. 6 is a block diagram showing the configuration of the rolling plan storage device 500. The rolling plan storage device 500 includes a CPU 501, a ROM 502, a RAM 503, a hard disk 505, and a communication interface 506. The hard disk 505 is provided with a rolling plan database (rolling plan DB) 510 for storing the rolling plan. The rolling plan data is stored in the rolling plan DB 510, and this data includes roll chance constraint information. The roll chance constraint information is information indicating how many more slabs the rolling roll 11a should roll to reach the upper limit of the number of slabs that can be rolled.

FIG. 7 is a block diagram showing the configuration of the goodness-of-fit display device 600. The goodness-of-fit display device 600 includes a CPU 601, a ROM 602, a RAM 603, an image output interface 604, a communication interface 606, and a display unit 610. The image output interface 604 is connected to a display unit 610 composed of an LCD, a CRT, or the like, and outputs a video signal corresponding to the image data given by the CPU 601 to the display unit 610. The display unit 610 displays an image (screen) according to the input video signal.

<Operation of heating furnace charging material information presentation system>
Next, the operation of the heating furnace charging material information presentation system according to the present embodiment will be described. 8A and 8B are flowcharts showing the operation procedure of the heating furnace charging material information presentation system according to the present embodiment. The operation of the heating furnace charging material information presentation system described below is executed during the operation of the rolling mill 10, that is, during the operation of the rolling mill 11 and the heating furnace 12. First, the CPU 601 of the goodness-of-fit display device 600 transmits the integrated goodness of fit to the operator in order to present to the operator the goodness of fit, which is the goodness of fit for each preheating slab 20 in the heating furnace. Request 200 (step S101). When the CPU 211 of the goodness-of-fit generation device 200 receives this request signal (step S102), it requests the slab storage information storage device 300 to transmit the slab storage information (step S103).

The slab storage information storage device 300 receives the transmission request signal of the slab storage information (step S104). As a result, the CPU 301 acquires the position, size, slab type, slab blot classification, charging temperature, and target temperature of each preheating slab 20 in the slab storage 13 from the slab storage information DB 310, and generates the goodness of fit as the slab storage information. It is transmitted to the device 200 (step S105).

When the goodness-of-fit generator 200 receives the slab storage information (step S106), the CPU 211 requests the in-core information storage device 400 to transmit the in-core information (step S107). The furnace information storage device 400 receives the transmission request signal of the furnace information (step S108), and the CPU 401 receives the position, size, slab type, and slab blot classification of each heating slab 22 from the furnace information DB 410 in the furnace. , The charging temperature and the target temperature are acquired and transmitted to the compatibility generator 200 as in-fire information (step S109).

When the goodness-of-fit generator 200 receives the in-core information (step S110), the CPU 211 requests the rolling plan storage device 500 to transmit the roll chance constraint information (step S111). The rolling plan storage device 500 receives the roll chance constraint information transmission request signal (step S112), and the CPU 501 acquires the roll chance constraint information from the rolling plan DB 510 and transmits it to the conformity generator 200 (step S113). ..

When the goodness-of-fit generator 200 receives the roll chance constraint information (step S114), the CPU 211 executes the goodness-of-fit generation process (step S115). In this goodness-of-fit generation process, the CPU 211 generates the goodness of fit for the heating furnace charge for each slab before heating.

The goodness-of-fit generation process will be described in detail below. FIG. 9 is a flowchart showing the procedure of the goodness-of-fit generation process. First, the CPU 211 executes a conformity calculation target selection process for selecting a conformity calculation target from the preheating slab 20 in the slab storage area 13 (step S201).

FIG. 10 is a flowchart showing the procedure of the goodness-of-fit calculation target selection process. In the conformity calculation target selection process, the CPU 211 first selects the preheating slabs 20 from the top of each slab pile to m sheets as the processing target based on the slab storage location information (step S211).

Next, the CPU 211 refers to the acquired roll chance constraint information, and whether or not each of the preheating slabs 20 selected as the processing target can be rolled by the rolling mill 11 after heating in the heating furnace 12, that is, the slabs It is determined whether or not the roll chance constraint is satisfied when the roll is rolled (step S212). This process will be described in detail. The roll chance constraint information indicates how many more slabs should be rolled to reach the upper limit of the number of slabs that can be rolled. In this process, in addition to the slabs currently heated in the heating furnace 12, when the slabs to be newly charged into the heating furnace 12 are rolled after being heated, it is determined whether or not the upper limit of the number of slabs that can be rolled is exceeded. Will be done. If the upper limit is not exceeded, it is determined that the roll chance constraint is satisfied, and if the upper limit is exceeded, it is determined that the roll chance constraint is not satisfied. The CPU 211 leaves the preheating slab 20 determined to satisfy the roll chance constraint as the processing target, and excludes the preheating slab 20 determined not to satisfy the roll chance constraint from the processing target.

Next, the CPU 211 determines whether or not the width and weight of the slabs for each of the preheating slabs 20 to be processed satisfy the restrictions on the length and weight of the furnace rows A, B, C, and D, respectively. (Step S213). This process will be described in detail. FIG. 11 is a plan view showing the internal configuration of the heating furnace 12. In the following description, the transport direction of the heating furnace 12 is referred to as the X direction, and the direction in which the furnace rows A, B, C, and D are lined up, that is, the horizontal direction perpendicular to the X direction is referred to as the Y direction. As shown in FIG. 11, a plurality of heating slabs 22 are arranged in the X direction in each of the furnace rows A, B, C, and D. In addition, four slabs are lined up in the Y direction across the furnace rows A, B, C, and D. At this time, the heating slab 22 is placed in the heating furnace 12 so that the width direction is along the X direction and the longitudinal direction is along the Y direction.

Length restrictions and weight restrictions are set for each of the furnace rows A, B, C, and D, and the length of the slab to be newly loaded in the X direction is less than or equal to the predetermined reference length, and The weight of the slab must be less than or equal to the specified reference weight. In the process of step S213, it is determined whether or not each of the preheated slabs 20 to be processed satisfies both the length constraint and the weight constraint. The CPU 211 leaves the preheating slab 20 determined to satisfy both the length constraint and the weight constraint as a processing target, and processes the preheating slab 20 determined not to satisfy at least one of the length constraint and the weight constraint. Exclude from the target.

See FIG. 10 again. Next, the CPU 211 determines whether or not the length of the slab for each of the preheating slabs 20 to be processed satisfies the width constraint determined in each of the first and second heating furnaces 12a and 12b (() Step S214). This process will be described in detail. As shown in FIG. 11, two heating slabs 22 are arranged in the Y direction in the furnace rows A and B, and two heating slabs 22 are arranged in the Y direction in the furnace rows C and D. Since the lengths of the first and second heating furnaces 12a and 12b in the Y direction are fixed, the total length of the two heating slabs 22 arranged in the furnace rows A and B in the Y direction is the length of the first heating furnace 12a in the Y direction. It must be shorter than that, and the sum of the Y-direction lengths of the two heating slabs 22 arranged in the furnace rows C and D must be shorter than the Y-direction length of the second heating furnace 12b.

Moreover, the timing at which the heating slab 22 is extracted from the heating furnace 12 may be around one slab. For example, the heating slab 22 located on the outermost side of the furnace row B may be extracted before the heating slab 22 located on the outermost side of the furnace row B is extracted. Width constraints are set to handle such situations. FIG. 12 is a partial plan view of the inside of the first heating furnace 12a showing a good charging example and a bad charging example of the slab. In FIG. 12, the slab already installed in the heating furnace 12 is shown by a solid line, and the slab to be newly charged is shown by a broken line. In the example shown in FIG. 12, the Y-direction length of the second heating slab 22a from the outlet side in the furnace row A is longer than the Y-direction length of the furnace row A, and the heating slab 22a protrudes to a part of the furnace row B. There is. In a good charging example, the width of the slab 22b newly charged into the furnace row B is shorter than the distance from the right end of the heating slab 22a to the right end of the furnace row B, and the slab 22b is smaller than the right end of the heating slab 22a. It is loaded in the position on the right side. As a result, when the heating of the slab 22b is completed before the heating slab 22a, the slab 22 can be extracted before the heating slab 22a without interfering with the heating slab 22a. On the other hand, in the bad charging example, the width of the slab 22b newly charged into the furnace row B is longer than the distance from the right end of the heating slab 22a to the right end of the furnace row B. Therefore, the left end of the slab 22b is located on the left side of the right end of the heating slab 22a. In such a slab installation state, even if the heating of the slab 22b is completed before the heating slab 22a, the slab 22b cannot be extracted first because the heating slab 22a interferes. Therefore, in the width constraint, the total length of the slabs charged in the X direction in the adjacent furnace row of one heating furnace in the Y direction is shorter than the length in the Y direction of the heating furnace. Is also required. That is, when a new slab is charged into one of the furnace rows A and B, the length of the slab in the Y direction and the adjacent furnace row located on the one exit side (a new slab is charged into the furnace row A). In this case, the total of the heating slab 22 in the furnace row B and the heating slab 22 in the furnace row A) is larger than the Y-direction length of the first heating furnace 12a. It must be short (same for the second heating furnace 12b).

In step S214, for example, when a new slab is charged into the furnace row A, the length of the slab in the Y direction and the two heating slabs already charged in the furnace row B, the most inlet side and the one outlet side thereof. It is determined whether or not the total of the slab having the larger Y-direction length of 22 with the Y-direction length is shorter than the Y-direction length of the first heating furnace 12a. Here, as long as the width constraint is satisfied, the Y-direction length of the slab charged into one of the two adjacent furnace rows may be larger than the Y-direction length of the furnace row. The CPU 211 leaves the preheating slab 20 determined to satisfy the width constraint as the processing target, and excludes the preheating slab 20 determined not to satisfy the width constraint from the processing target.

See FIG. 10 again. Next, the CPU 211 determines whether or not the width of the slab satisfies the predetermined furnace length constraint for each of the preheating slabs 20 to be processed (step S215). This process will be described in detail. As described above, in each of the furnace rows A, B, C, and D, a plurality of heating slabs 22 are arranged side by side in the X direction (see FIG. 11). Here, since the lengths of each of the furnace rows A, B, C, and D in the X direction are fixed, when a new slab is loaded into a certain furnace row, all the heating slabs 22 arranged in the furnace row are 22. The sum of the X-direction length of the slab, the X-direction length (width) of the newly charged slab, and the X-direction spacing between the slabs must be shorter than the X-direction length of the furnace row. This is the furnace length constraint, and in step S215, for example, when a new slab is loaded into the furnace row A, it is determined whether or not the furnace length constraint of the furnace row A is satisfied when the slab is loaded. .. The CPU 211 leaves the preheating slab 20 determined to satisfy the furnace length constraint as the processing target, and excludes the preheating slab 20 determined not to satisfy the furnace length constraint from the processing target.

In the above treatment, the preheating slab 20 that finally remains as the treatment target is selected as the calculation target of the goodness of fit. This completes the process of selecting the goodness of fit calculation target.

See FIG. 9 again. When the goodness-of-fit calculation target selection process is completed, the CPU 211 calculates the dimensional goodness of fit for each preheating slab 20 selected as the goodness-of-fit calculation target (step S202). In calculating the dimensional suitability, the CPU 211 specifies in advance the maximum width, the minimum width, the maximum length, and the minimum length of the sizes of the slabs included in the in-core information. Further, the CPU 211 specifies the thickness of the slab charged immediately before (the slab on the most upstream side of the transport; hereinafter, referred to as “immediately charged slab”) in the furnace row to be charged from the information in the furnace. In the process of step S202, the dimensional goodness of fit is calculated according to the following equation.
Dimensional goodness of fit = 100 x (width goodness of fit / 100) x (length goodness of fit / 100) x (thickness of fit / 100)

Here, if the width of the pre-heating slab 20 (hereinafter referred to as “the slab to be charged”) of interest among the conformity calculation targets is within the range of the maximum width or less and the minimum width or more, the width conformity is set to 100 and the equipment is loaded. If the length of the target slab is within the range of the maximum length or less and the minimum length or more, the length conformity is set to 100. If the width of the slab to be charged exceeds the maximum width, the width suitability is calculated according to the following formula. If the length of the slab to be charged exceeds the maximum length, the length suitability is calculated in the same manner.
Width suitability = 100 x (maximum width / width of slab to be loaded)

On the other hand, when the width of the slab to be charged is less than the minimum width, the width suitability is calculated according to the following equation. If the length of the slab to be charged is less than the minimum length, the length suitability is calculated in the same manner.
Width conformity = 100 x (width of slab to be charged / minimum width)

The thickness conformity is set so that the larger the difference in material thickness, which is the difference between the thickness of the immediately preceding slab and the thickness of the target slab, the smaller the thickness conformity. Specifically, the thickness conformity is calculated according to the following formula.
Thickness Goodness of Fit = 100 x (1- (| Material thickness difference | / Thickness of immediately preceding slab))

Next, the CPU 211 calculates the temperature goodness of fit for each preheating slab 20 selected as the goodness of fit calculation target (step S203). In calculating the temperature goodness of fit, the CPU 211 specifies the charging temperature and the target temperature of the immediately preceding charging slab from the information in the furnace in advance. The temperature compatibility is the difference between the charging temperature of the immediately preceding slab and the charging temperature of the target slab, and the target temperature of the immediately preceding slab and the target temperature of the target slab. The temperature compatibility is set to decrease as each of the target temperature differences, which is the difference, increases. Specifically, in the process of step S203, the temperature goodness of fit is calculated according to the following equation.
Temperature goodness of fit = exp (-1.0 x | charge temperature difference -100 | / 200) x exp (-1.0 x | target temperature difference | / 100)

Next, the CPU 211 executes a heating gap evaluation value determination process for determining the heating gap evaluation value for each preheating slab 20 selected as the goodness-of-fit calculation target (step S204). FIG. 13 is a flowchart showing the procedure of the heating gap evaluation value determination process. In the heating gap evaluation value determination process, the CPU 211 first selects one of the preheating slabs 20 selected as the goodness-of-fit calculation target and sets it as the charging target slab (step S221). Next, the CPU 211 uses the heating prediction time hash table stored in advance in the hard disk 215 to search for the heating prediction time corresponding to the charging target slab (step S222). The estimated heating time hash table stores the estimated heating time calculated in the past in the heating gap evaluation value determination process in association with the search key. That is, in the process of step S222, the past actual value of the estimated heating time corresponding to the charging target slab is searched. The search key used here is configured by connecting the heating conditions (heating standard, heating temperature, eccentric heat), slab characteristics (slab thickness, charging temperature), and equipment capacity (furnace number of the heating furnace).

Since the heating prediction time hash table only stores the heating prediction time according to the past performance, if the slab to be inserted and the slab that is close in terms of heating conditions, slab characteristics, and equipment capacity are not in the past performance, the heating prediction is performed. Time search fails. Therefore, the CPU 211 determines whether or not the search for the estimated heating time corresponding to the charging target slab is successful (step S223), and if the search for the estimated heating time is successful (YES in step S223), the step. The process is transferred to S228.

When the search for the estimated heating time corresponding to the slab to be charged fails (NO in step S223), the CPU 211 executes the following steps S224 to S227 to calculate the estimated heating time. First, in step S224, the CPU 211 extracts a similar case, which is a past actual case similar to the charging target slab, from the heating actual data. In the process of step S224, the CPU 211 extracts a case in which all of the following conditions are satisfied with respect to the heating standard, the furnace number, the slab thickness, the heating temperature, and the uneven heat of the slab to be charged as a similar case.
(1) Same heating standard (2) Same furnace number (3) Difference in slab thickness is A (mm) or less (4) Difference in heating temperature is B (° C) or less (5) Difference in eccentric heat is C (° C) The following table shows the actual heating data.

Next, the CPU 211 acquires the reference actual furnace time (hereinafter, referred to as “reference furnace time”) (step S225). In this process, the CPU 211 sorts the actual furnace time (difference between the extraction time and the charging time) of the searched similar cases in ascending order, and the actual result is 1 / N (for example, N is 8) from the smallest. The operating time is used as the standard operating time.

ここで、ｉ＝１，２，３，４であり、ηｉは減衰度をコントロールするためのパラメータである。また、重みＷ_ｊは上式（２）以外で規定されるものであってもよい。ただし、全てのＸｉ_ｊが０の場合には１となり、Ｘｉ_ｊが大きくなるほど小さくなるような重みＷ_ｊを使用する。このような重みＷ_ｊを用いて、下式（３）により加熱予測時間Ｔを算出する。

ここで、Ｔ_ｊは基準類似事例ｊの実績在炉時間を示している。このようにして計算された加熱予測時間Ｔは、上記の検索キーに対応付けて加熱予測時間ハッシュテーブルに記憶される。 Next, the CPU 211 narrows down the extracted similar cases in which the actual furnace time is within the range of the reference furnace time ± α as the reference similar cases (step S226). Further, the CPU 211 calculates a weighted average of the actual furnace time in each reference-like case to obtain the estimated heating time (step S227). Here, first, the CPU 211 has a slab thickness difference X1 _j , a heating temperature difference X2 _j , an uneven heat difference X3 _j , and a charging target slab and each reference similar case j (j = 1, 2, ..., N). The temperature difference X4 _j is calculated, and the weight W _j for each reference-like case is calculated by the following equation (1).

Here, i = 1, 2, 3, and 4, and ηi is a parameter for controlling the degree of attenuation. Further, the weight W _j may be defined by other than the above equation (2). However, when all Xi _j are 0, it becomes 1, and the weight W _j is used so that it becomes smaller as Xi _j becomes larger. Using such a weight W _j , the estimated heating time T is calculated by the following equation (3).

Here, T _j indicates the actual in-fire time of the standard similar case j. The estimated heating time T calculated in this way is stored in the estimated heating time hash table in association with the above search key.

Next, the CPU 211 determines the time from the current time until the total heating slabs 22 in the furnace row in which the slabs are charged are extracted from the heating furnace 12 (hereinafter referred to as “extraction time”), and the calculated heating prediction. The heating gap evaluation value is determined by comparing with the time (step S228). In this process, the heating gap evaluation value is set to 100 when the extraction time is equal to or less than the predicted heating time. When the estimated heating time is longer than the extraction time, the heating gap evaluation value is set to less than 100, and the larger the difference between the extraction time and the estimated heating time, the smaller the heating gap evaluation value.

The CPU 211 determines whether or not all of the preheating slabs 20 selected for the goodness-of-fit calculation target have been selected as charging target slabs (step S229), and if there is a preheating slab 20 that has not yet been selected (step S229). NO) in step S229, the process is returned to step S221, a new charging target slab is selected, and the processes after step S222 are executed. If all of the preheating slabs 20 selected as the goodness-of-fit calculation target are selected as the charging target slabs (YES in step S229), the CPU 211 ends the heating gap evaluation value determination process.

See FIG. 9 again. Next, the CPU 211 calculates the lateral goodness of fit for each preheating slab 20 selected as the goodness of fit calculation target (step S205). In calculating the lateral goodness of fit, the CPU 211 preliminarily determines the slab type of each slab in a total of two rows, one row in the Y direction on the most upstream side of the transport and one row in the Y direction on the downstream side, based on the information in the furnace. Identify. In this process, among all the slabs included in the two rows, the ratio of slabs having the same slab type as the slab to be charged is calculated as the lateral goodness of fit.

Next, the CPU 211 executes a slab type goodness-of-fit calculation process for calculating the slab type goodness of fit for each preheating slab 20 selected as the goodness-of-fit calculation target (step S206). FIG. 14 is a flowchart showing the procedure of the slab type goodness-of-fit calculation process. In the slab type goodness-of-fit calculation process, the CPU 211 first selects one of the preheating slabs 20 selected as the goodness-of-fit calculation target and sets it as the charging target slab (step S231).

Next, the CPU 211 calculates the ratio of slabs having the same type of slab as the slab to be charged at all the slab installation positions in the first and second heating furnaces 12a and 12b based on the information in the furnace. , Let this be the in-furnace slab type goodness of fit (step S232). Further, the CPU 211 calculates the ratio of the slab to be charged and the slab having the same slab type in the slab 20 before total heating in the slab storage 13 based on the slab storage information, and uses this as the inventory slab type goodness of fit ( Step S233).

Next, the CPU 211 compares the inventory slab type goodness of fit with a predetermined threshold value β (step S234). When the stock slab type goodness of fit is equal to or higher than the threshold value β (YES in step S234), the CPU 211 sets the higher value of the in-core slab type goodness of fit and the stock slab type goodness of fit as the slab type goodness of fit (step S235). .. On the other hand, when the inventory slab type goodness of fit is less than the threshold value β (NO in step S234), the CPU 211 sets the value of the inventory slab type goodness of fit as the slab type goodness of fit (step S236).

The above processing will be specifically described. FIG. 15 is a schematic view showing an installation example of a slab in the heating furnace 12 and the slab storage area 13. In the figure, the white (unshaded) squares indicate type a slabs, and the shaded squares indicate type b slabs. In this example, there are eight slab installation positions in the two rows (the area surrounded by the broken line in the figure) from the upstream side of the transport in the first and second heating furnaces 12a and 12b, and four of them are of the slab type a. Slabs are installed, and the other four have no slabs. Here, when the slab type of the slab to be charged is a, the lateral goodness of fit is 50%, and when the slab type of the slab to be charged is b, the lateral goodness of fit is 0%.

Further, in the example of FIG. 15, the total number of slab installation positions of the first and second heating furnaces 12a and 12b is 80. Of these, 72 slabs of slab type a are installed, and 8 slabs of slab type b are installed. In addition, 18 slabs are installed in the slab storage area 13, 5 of which are slabs of slab type a and 13 are slabs of slab type b. Therefore, when the slab type of the slab to be charged is a, the goodness of fit of the slab type in the furnace is 90%, and the goodness of fit of the stock slab type is 28%. Assuming that the threshold value β is 70%, the inventory slab type goodness of fit is less than β, so the slab type goodness of fit is set to 28%. In this case, since the inventory slab type suitability is low, the slab of the slab type b is small in the slab storage area 13, and the slab of the slab type a is large in the slab storage area 13. When the slab of slab type a having a fast rolling pitch is extracted from the heating furnace 12, and subsequently the slab of slab type b having a slow rolling pitch is extracted, the rolling time of the slab a is short, so that the slab of a The heating of the slab of b may not be completed even after the rolling is completed. On the other hand, when the slab of slab type b is extracted from the heating furnace 12 and the slab of slab type b is subsequently extracted, the rolling time of the slab of b is long, so that the heating of the slab of a is completed. However, the rolling of the slab of b may not be completed. If different types of slabs are sequentially extracted from the heating furnace 12 in this way, efficient rolling processing cannot be performed. Therefore, in order to improve the rolling efficiency, it is preferable to charge the slabs of the same type into the heating furnace 12 together. Therefore, if there are few slabs of the same type as the slab to be charged in the slab storage area 13, it will be difficult to continuously charge the slabs of the same type into the heating furnace 12, and therefore a different type of slab. Is preferable to be charged. Therefore, in the above processing, when the inventory slab type fitness is less than β, the value of the inventory slab type fitness is set to the slab type fitness, and the slab type fitness of the slab to be charged is lowered.

Further, in the example of FIG. 15, when the slab type of the slab to be charged is b, the goodness of fit of the slab type in the furnace is 10%, and the goodness of fit of the stock slab type is 72%. Therefore, the inventory slab type goodness of fit of β or more and the inventory slab type goodness of fit larger than the in-core slab type goodness of fit is set as the slab type goodness of fit. The high degree of conformity with the slab type in the furnace means that the proportion of slabs having the same slab type as the slab to be charged is high in the entire heating slab 22 installed in the heating furnace 12. As described above, from the viewpoint of rolling efficiency, it is preferable to heat slabs of the same type together in the heating furnace 12. Therefore, when the degree of conformity with the type of slab in the furnace is high, it is preferable to charge the slab to be charged into the heating furnace 12 in order to make the types of slabs in the heating furnace 12 uniform. On the other hand, the fact that the inventory slab type suitability is high means that the proportion of slabs having the same slab type as the slab to be charged is high in the entire preheating slab 20 installed in the slab storage area 13. Therefore, if the inventory slab type suitability is high, there is a high possibility that the slab of the same type as the slab to be charged will be continuously charged into the heating furnace 12 in the future. Therefore, in this case as well, it is preferable to charge the slab to be charged into the heating furnace 12. Therefore, in the above processing, when the goodness of fit of the stock slab type is β or more, the higher value of the goodness of fit of the slab type in the furnace and the goodness of fit of the stock slab type is set as the slab type goodness of fit, and the charging target Increase the slab type compatibility of slabs.

See FIG. 14 again. After step S235 or S236, the CPU 211 compares the goodness of fit of the in-core slab type with the predetermined threshold value γ (step S237), and if the goodness of fit of the in-core slab type is equal to or higher than the threshold value γ (YES in step S237), the stock is in stock. The slab type goodness of fit is compared with a predetermined threshold value δ (step S238). When the inventory slab type goodness of fit is less than the threshold value δ (YES in step S238), the CPU 211 sets the slab type goodness of fit to 0 (step S239).

The processing of steps S237 to S239 will be described in detail. In the example of FIG. 15, it is assumed that the slab type of the slab to be charged is a. In this case, the goodness of fit for the slab type in the furnace is 90%, and the goodness of fit for the stock slab type is 28%. Assuming that the threshold value γ is 80% and the threshold value δ is 30%, the goodness of fit of the slab type in the furnace is set to 0 because the goodness of fit of the slab in the furnace is equal to or higher than the threshold value γ and the goodness of fit of the stock slab is less than the threshold value δ. When the in-furnace slab suitability is high and the stock slab suitability is low, there are many slabs of the same type as the slab to be charged in the heating furnace 12, and the slab of the same type as the slab to be charged is in the slab storage area 13. There are few situations. In such a situation, it is difficult to continuously charge the same type of slab as the slab to be charged into the heating furnace in the future. On the other hand, in the slab storage area 13, there are many types of slabs different from the slabs to be charged. Therefore, in such a situation, by setting the slab type conformity to 0, the type of slab to be charged can be switched from the slab to be charged (the same type of slab as) to the other type of slab. To urge.

See FIG. 14 again. When the slab type goodness of fit is set to 0 in step S239, the CPU 211 determines whether or not all of the preheating slabs 20 selected for the goodness of fit calculation target are selected as the charging target slabs (step S240). Further, when the goodness of fit of the in-core slab type is less than the threshold value γ (NO in step S237) or when the goodness of fit of the stock slab type is equal to or more than the threshold value δ (NO in step S238), the CPU 211 processes the process in step S240. Move. If there is a preheating slab 20 that has not been selected yet (NO in step S240), the process returns to step S231, a new slab to be charged is selected, and the processes after step S232 are executed. If all of the preheating slabs 20 selected as the goodness-of-fit calculation target are selected as the charging target slabs (YES in step S240), the CPU 211 ends the slab type goodness-of-fit calculation process.

See FIG. Subsequently, the CPU 211 calculates the integrated goodness of fit, which is the goodness of fit for charging into the heating furnace 12, for each preheating slab 20 selected as the goodness of fit calculation target (step S207). This process will be described in detail. First, the CPU 211 calculates the first integrated goodness of fit according to the following equation.
1st integrated goodness of fit = (dimensional goodness of fit x temperature goodness of fit x heating gap evaluation value) ^1/2

Further, the CPU 211 calculates the second integrated goodness of fit according to the following equation.
2nd integrated goodness of fit = (horizontal goodness of fit + slab type goodness of fit) x 1/2

Next, the CPU 211 calculates the integrated goodness of fit according to the following equation.
Goodness of fit = (1st goodness of fit x 2nd goodness of fit) ^1/2

When the integrated goodness of fit is calculated for each pre-heating slab 20 selected as the goodness-of-fit calculation target as described above, the CPU 211 ends the goodness-of-fit generation process.

See FIG. 8B. The CPU 211 transmits the goodness-of-fit information indicating the integrated goodness of fit generated as described above to the goodness-of-fit display device 600 (step S116). When the goodness-of-fit display device 600 receives the goodness-of-fit information (step S117), the CPU 601 displays the integrated goodness of fit on the display unit 610 for each preheating slab 20 selected as the goodness-of-fit calculation target (step S118).

FIG. 16 is a diagram showing an example of display of the integrated goodness of fit. As shown in FIG. 16, on the screen 650 of the display unit 610, the preheating slab 20 installed in the slab storage area 13 is displayed as a square frame 651. In one frame 651, the size (length, width, thickness) of the preheating slab 20 corresponding to the frame and the slab type are displayed. The frame 651 of the type A slab is shown in white, and the frame 651 of the type B slab is shaded (indicated by diagonal lines in the figure). Further, in the frame 651, the furnace row (A, B, C, or D) to be charged with the slab and the integrated goodness of fit are displayed. In the example of FIG. 16, the integrated goodness of fit is displayed in four stages of ⊚, ◯, Δ, and ×. ⊚ indicates that the integrated goodness of fit is 75% or more and 100% or less, ○ indicates that the integrated goodness of fit is 50% or more and less than 75%, and Δ indicates that the integrated goodness of fit is 25% or more and less than 50%. Indicates that, and x indicates that the goodness of fit is 0% or more and less than 25%. Further, the frame 651 showing each slab 20 before heating is classified and displayed for each slab mountain. For each slab mountain, a name for identifying which slab mountain is displayed, such as "slab mountain 1" and "slav mountain 2". The operator refers to each integrated goodness of fit displayed on the display unit 610, selects which preheating slab 20 to be charged into the heating furnace 12, operates the crane 14, and operates the selected preheating slab 20. Is charged into the heating furnace 12.

Here, when a process problem such as a variation in heating of the slab in the heating furnace 12 or an abnormality in the rolling mill occurs, the operator is not the slab scheduled to be charged into the heating furnace 12 in the rolling plan, for example. , Rolling can be continued by charging a slab with a high degree of integration compatibility with other slabs.

(Other embodiments)
In the above-described embodiment, the suitability of charging is determined based on the width, length, thickness, target temperature, charging temperature, estimated heating time, and difference between the heating slab and the preheating slab for the slab type. The configuration to be generated has been described, but the present invention is not limited to this. Goodness of fit based on differences between heated and preheated slabs for at least one, if not all, slab width, length, thickness, target temperature, charging temperature, estimated heating time, and slab type. Should be generated. For example, instead of the integrated goodness of fit, any one of the dimensional goodness of fit, the temperature goodness of fit, the heating gap evaluation value, the lateral goodness of fit, and the slab type goodness of fit may be displayed as the goodness of fit. The integrated goodness of fit may be calculated and displayed based on at least two or more of each goodness of fit.

Further, in the above-described embodiment, the heating furnace charging material information presentation system 100 includes a conformity generation device 200, a slab storage information storage device 300, an in-core information storage device 400, a rolling plan storage device 500, and the like. Although the configuration including the conformity display device 600 and the respective devices operating in cooperation with each other has been described, the present invention is not limited to this. For example, the functions of the plurality of devices may be integrated into one device, for example, the function of the goodness-of-fit generation device 200 and the function of the goodness-of-fit display device 600 may be provided in one device. Further, a distributed system in which not all the processes of the goodness-of-fit generation program 220 are executed by a single computer 210, but the same processes as those of the goodness-of-fit generation program 220 are distributed and executed by a plurality of devices (computers). It is also possible to.

The heating furnace charging material information presentation system of the present invention is useful as a heating furnace charging material information presentation system for presenting information on hot rolled materials charged into the heating furnace provided in front of the rolling mill. is there.

10 Rolling equipment 11 Rolling machine 11a Rolling roll 12 Heating furnace 12a 1st heating furnace 12b 2nd heating furnace 13 Slab yard 14 Crane 20 Pre-heating slab 21 Slab mountain 22 Heating slab 100 Heating furnace charging material information presentation system 200 Conformity generation Equipment 211 CPU
220 Goodness-of-fit generation program 300 Slab storage information storage device 400 In-core information storage device 500 Rolling plan storage device 600 Goodness-of-fit display device 610 Display unit

Claims (10)

It is a heating furnace charging material information presentation system for presenting information on materials to be charged into the heating furnace provided in the front stage of the rolling mill.
The goodness of fit is calculated by determining whether or not the roll chance constraint, length constraint, weight constraint, width constraint, and furnace length constraint are satisfied for each of the plurality of preheating materials before being charged into the heating furnace. A goodness-of-fit calculation target selection unit that selects multiple pre-heating materials,
For each of the plurality of selected preheating materials, the goodness of fit for charging into the heating furnace is determined by the rolling mill and heating based on the difference between the heating material in the heating furnace and the preheating material. The goodness-of-fit generator generated during the operation of the furnace,
For each of the plurality of preheating materials, a display unit for displaying the goodness of fit generated in the goodness-of-fit generation unit during the operation is provided.
The fitness generating unit, said one of the heating material, wherein the thickness of the heating material is charged just before the heating before the furnace column is charged with material, the preheating is the difference between the thickness of the material the material thickness difference Is configured to generate the goodness of fit so that it becomes smaller as
Heating furnace charging material information presentation system. The goodness-of-fit generation unit is configured to generate the goodness of fit by the following equation.
The material information presentation system charged in a heating furnace according to claim 1.
Goodness of fit = 100 x (1- (| Material thickness difference | / Material thickness before heating) It is a heating furnace charging material information presentation system for presenting information on materials to be charged into the heating furnace provided in the front stage of the rolling mill.
The goodness of fit is calculated by determining whether or not the roll chance constraint, length constraint, weight constraint, width constraint, and furnace length constraint are satisfied for each of the plurality of preheating materials before being charged into the heating furnace. A goodness-of-fit calculation target selection unit that selects multiple pre-heating materials,
For each of the plurality of selected preheating materials, the goodness of fit for charging into the heating furnace is determined by the rolling mill and heating based on the difference between the heating material in the heating furnace and the preheating material. The goodness-of-fit generator generated during the operation of the furnace,
A display unit that displays the goodness of fit generated in the goodness-of-fit generation unit during the operation for each of the plurality of preheating materials.
With
The goodness-of-fit generation unit sets the goodness of fit to 100 if the width of the preheated material is within the range of the maximum width or less and the minimum width or more of the heated material, and the width of the preheated material is the maximum of the heated material. If it exceeds a large amount, the goodness of fit is calculated according to the following formula (1), and if the width of the material before heating is less than the minimum width of the heated material, the goodness of fit is calculated according to the following formula (2).
Heating furnace charging material information presentation system.
Goodness of fit = 100 x (maximum width of heated material / width of material before heating) ... (1)
Goodness of fit = 100 x (width of material before heating / minimum width of heated material) ・ ・ ・ (2) It is a heating furnace charging material information presentation system for presenting information on materials to be charged into the heating furnace provided in the front stage of the rolling mill.
The goodness of fit is calculated by determining whether or not the roll chance constraint, length constraint, weight constraint, width constraint, and furnace length constraint are satisfied for each of the plurality of preheating materials before being charged into the heating furnace. A goodness-of-fit calculation target selection unit that selects multiple pre-heating materials,
For each of the plurality of selected preheating materials, the goodness of fit for charging into the heating furnace is determined by the rolling mill and heating based on the difference between the heating material in the heating furnace and the preheating material. The goodness-of-fit generator generated during the operation of the furnace,
A display unit that displays the goodness of fit generated in the goodness-of-fit generation unit during the operation for each of the plurality of preheating materials.
With
If the length of the material before heating is within the range of the maximum length or less and the minimum length or more of the material to be heated, the goodness-of-fit generation unit sets the goodness of fit to 100, and the length of the material before heating is the length. If the maximum length of the heated material is exceeded, the goodness of fit is calculated according to the following formula (1), and if the length of the preheated material is less than the minimum length of the heated material, the fit is calculated according to the following formula (2). Calculate the goodness of fit,
Heating furnace charging material information presentation system.
Goodness of fit = 100 x (maximum length of heated material / length of material before heating) ・ ・ ・ (1)
Goodness of fit = 100 x (length of material before heating / minimum length of material to be heated) ・ ・ ・ (2) It is a heating furnace charging material information presentation system for presenting information on materials to be charged into the heating furnace provided in the front stage of the rolling mill.
The goodness of fit is calculated by determining whether or not the roll chance constraint, length constraint, weight constraint, width constraint, and furnace length constraint are satisfied for each of the plurality of preheating materials before being charged into the heating furnace. A goodness-of-fit calculation target selection unit that selects multiple pre-heating materials,
For each of the plurality of selected preheating materials, the goodness of fit for charging into the heating furnace is determined by the rolling mill and heating based on the difference between the heating material in the heating furnace and the preheating material. The goodness-of-fit generator generated during the operation of the furnace,
For each of the plurality of preheating materials, a display unit for displaying the goodness of fit generated in the goodness-of-fit generation unit during the operation is provided.
The goodness-of-fit generating unit is a charging temperature difference which is a difference between the charging temperature of the heating material immediately before being charged into the heating furnace and the temperature of the preheating material, and the target temperature of the heating material and the above. The goodness of fit is generated by the following equation so that the larger each of the target temperature differences, which is the difference from the target temperature of the material before heating, becomes smaller.
Heating furnace charging material information presentation system.
Goodness of fit = exp (-1.0 x | charging temperature difference -100 | / 200) x exp (-1.
0 × | Target temperature difference | / 100) It is a heating furnace charging material information presentation system for presenting information on materials to be charged into the heating furnace provided in the front stage of the rolling mill.
The goodness of fit is calculated by determining whether or not the roll chance constraint, length constraint, weight constraint, width constraint, and furnace length constraint are satisfied for each of the plurality of preheating materials before being charged into the heating furnace. A goodness-of-fit calculation target selection unit that selects multiple pre-heating materials,
For each of the plurality of selected preheating materials, the goodness of fit for charging into the heating furnace is determined by the rolling mill and heating based on the difference between the heating material in the heating furnace and the preheating material. The goodness-of-fit generator generated during the operation of the furnace,
For each of the plurality of preheating materials, a display unit for displaying the goodness of fit generated in the goodness-of-fit generation unit during the operation is provided.
The goodness-of-fit generator is when the predicted heating time of the preheating material is longer than the extraction time until all the heating materials in the furnace row in which the preheating material is charged are extracted from the heating furnace. The goodness of fit is generated so that the larger the difference between the extraction time and the predicted heating time, the smaller the goodness of fit.
Heating furnace charging material information presentation system. The goodness-of-fit generator is configured to determine the predicted heating time based on past cases in which the material is heated by the heating furnace.
The material information presentation system charged in a heating furnace according to claim 6 . It is a heating furnace charging material information presentation system for presenting information on materials to be charged into the heating furnace provided in the front stage of the rolling mill.
The goodness of fit is calculated by determining whether or not the roll chance constraint, length constraint, weight constraint, width constraint, and furnace length constraint are satisfied for each of the plurality of preheating materials before being charged into the heating furnace. A goodness-of-fit calculation target selection unit that selects multiple pre-heating materials,
For each of the plurality of selected preheating materials, the goodness of fit for charging into the heating furnace is determined by the rolling mill and heating based on the difference between the heating material in the heating furnace and the preheating material. The goodness-of-fit generator generated during the operation of the furnace,
For each of the plurality of preheating materials, a display unit for displaying the goodness of fit generated in the goodness-of-fit generation unit during the operation is provided.
The heating furnace is configured so that a plurality of heating materials arranged in a predetermined arrangement direction can be repeatedly charged.
The goodness-of-fit generation unit sets the ratio of the heating materials having the same material type as the material type of the pre-heating material among the plurality of heating materials charged immediately before being arranged in the arrangement direction in the heating furnace. Is configured to generate as,
Heating furnace charging material information presentation system. It is a heating furnace charging material information presentation system for presenting information on materials to be charged into the heating furnace provided in the front stage of the rolling mill.
The goodness of fit is calculated by determining whether or not the roll chance constraint, length constraint, weight constraint, width constraint, and furnace length constraint are satisfied for each of the plurality of preheating materials before being charged into the heating furnace. A goodness-of-fit calculation target selection unit that selects multiple pre-heating materials,
For each of the plurality of selected preheating materials, the goodness of fit for charging into the heating furnace is determined by the rolling mill and heating based on the difference between the heating material in the heating furnace and the preheating material. The goodness-of-fit generator generated during the operation of the furnace,
For each of the plurality of preheating materials, a display unit for displaying the goodness of fit generated in the goodness-of-fit generation unit during the operation is provided.
The goodness-of-fit generation unit includes an in-furnace material ratio, which is a ratio of materials having the same material type as the pre-heating material among a plurality of heating materials heated in the heating furnace, and a material charged into the heating furnace. Of the materials placed in the material storage area for placing a plurality of materials, the higher value of the inventory material ratio, which is the ratio of the materials having the same material type as the material before heating, is generated as the goodness of fit. ing,
Heating furnace charging material information presentation system. For each of the plurality of preheating materials, it is determined whether or not heating by a heating furnace or rolling by a rolling mill is possible, and from the plurality of preheating materials, a preheating material determined to be heating or rolling is selected. With a selection section
The goodness-of-fit generation unit is configured to generate the goodness of fit for the preheated material selected by the selection unit.
The material information presentation system charged in a heating furnace according to any one of claims 1 to 9 .

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