JP2023041489A - Cold rolling planning system and cold rolling planning method - Google Patents

Abstract

To provide a cold rolling planning system and a cold rolling planning method that can set constraint conditions necessary for cold rolling planning simply in a short time.SOLUTION: A cold rolling planning system includes an information processing device for formulating order in which coil materials corresponding to a plurality of steel plate product specifications are processed by a continuous cold rolling process. The information processing device includes a constraint condition storage unit that stores a plurality of constraint condition templates to which specific information for generating constraint conditions is input. The information processing device generates the plurality of constraint conditions based on the plurality of constraint condition templates to which the information is input.SELECTED DRAWING: Figure 2

Description

The present invention relates to a cold rolling planning system and a cold rolling planning method. More specifically, the present invention relates to a cold rolling planning system and a cold rolling planning method for planning the order in which steel sheets are introduced into a continuous cold rolling process for further thinning steel sheets produced by hot rolling. .

In the steel industry, a PL-TCM (Pickling Line - Tandem Cold Mill) is used. PL-TCM sequentially performs welding, pickling, trimming, and rolling on steel strips (steel sheets) discharged from a plurality of coil materials.

In the welding process, the preceding coil material and the succeeding coil material whose processing order is reversed are joined by welding each time the delivery of the preceding coil material is completed. Therefore, the PL-TCM can continue to efficiently produce rolled products of various steel grades from each of a plurality of coil materials in 24-hour continuous operation.

However, in PL-TCM, if the combination of the width, thickness, etc. of the preceding coil material and the width, thickness, etc. of the succeeding coil material is inappropriate, due to rolling, etc., Fractures of the strip may occur. In this case, the production line is stopped until the broken material is removed from the PL-TCM and the PL-TCM is ready for operation, which may reduce production efficiency.

Therefore, it is preferable to plan the order of rolling of a plurality of coil materials (that is, the order of input to the PL-TCM) so as to satisfy the constraints under the constraints based on the user's experience. As an example of a constraint condition based on user's experience, an example disclosed in Patent Document 1 is known. As a technique capable of formulating a production plan, an example disclosed in Patent Document 2 (also called "MLCP") is known. The disclosed example of this patent document 2 can reproduce the production plan of an expert in consideration of a plurality of constraints.

Japanese Patent No. 3248476 WO2018/220885

In continuous cold rolling using PL-TCM, a daily production plan for determining when (in what order) to produce which product is formulated based on the characteristics of the production facility described above. However, since various considerations are required in the planning work, final adjustments are made at the site where the PL-TCM is operated, resulting in a complicated operation. In addition, due to complicated operation, useless trimmer adjustment, roll replacement, and use of transition material due to insufficient consideration of the production order, and dealing with emergency additional orders on site resulted in unreasonable welding and plate breakage problems. It may occur. Therefore, in order to correct the plan in a short time without degrading the quality of the plan, judgment based on the experience of an expert is required.

By the way, including the example disclosed in Patent Literature 2, when systematizing planning work, it is necessary to clarify constraints and organize them as system requirements. However, if the requirements (required conditions for systematizing planning work (planning)) are incorporated into the system from scratch each time the system is constructed, it will take a long time to introduce the system. Furthermore, when hearing requirements from experts, there are many cases where the know-how is not documented, and in that case, it tends to take more time. Furthermore, each user has different know-how, so the constraint conditions are not uniformly determined, and in order to incorporate the constraint conditions necessary for formulating the plan into the system, it is necessary to interview each user. It takes a lot of time and effort.

The present invention has been made to address the above problems. That is, one of the objects of the present invention is to provide a cold rolling plan formulation system and a cold rolling plan formulation method that can easily set constraints necessary for formulating a cold rolling plan in a short time. That's what it is.

In order to solve the above-described problems, the cold rolling plan formulation system of the present invention acquires steel sheet specification data including a plurality of information indicating specifications of steel sheet products manufactured from a coil material by a continuous cold rolling process, Cold rolling including an information processing device that determines the order of processing the plurality of coil materials corresponding to the specifications of the plurality of steel sheet products included in the steel sheet specification data by a continuous cold rolling process based on the specification data. In the plan formulation system, the information processing device includes a storage unit storing a plurality of constraint condition templates to which specific information for generating constraint conditions is input, and a plurality of constraint condition templates to which the specific information is input. Based on the constraint template, a plurality of the constraints are generated, the plurality of constraints are included in the calculation conditions, and an optimization calculation is performed under the calculation conditions so that the steel sheet specification data includes It is configured to determine the order in which the plurality of coil materials corresponding to the specifications of the plurality of steel plate products are processed by the continuous cold rolling process.

The cold rolling plan formulation method of the present invention acquires steel sheet specification data including a plurality of pieces of information indicating the specifications of steel sheet products manufactured from a coil material by a continuous cold rolling process, and based on the steel sheet specification data, the steel sheet specifications A cold rolling plan formulating method using an information processing device for formulating an order in which a plurality of the coil materials corresponding to the specifications of the plurality of steel plate products contained in the data are processed by a continuous cold rolling process, The information processing device includes a storage unit storing a plurality of constraint condition templates to which specific information for generating constraint conditions is input, and the information processing device stores the plurality of constraints to which the specific information is input. Based on the condition template, a plurality of the constraint conditions are generated, the plurality of the constraint conditions are included in the calculation conditions, and the optimization calculation is performed under the calculation conditions to obtain the plurality of conditions included in the steel sheet specification data. An order of processing the plurality of coil materials corresponding to the specifications of the steel sheet product by the continuous cold rolling process is determined.

ADVANTAGE OF THE INVENTION According to this invention, setting of the constraint conditions required for formulating a cold-rolling plan can be performed simply and in a short time.

FIG. 1 is a diagram for explaining the cold rolling process targeted by the cold rolling planning system according to the embodiment of the present invention. FIG. 2 is a functional block diagram showing an example of the configuration of the cold rolling planning system according to the embodiment of the present invention. FIG. 3 is a schematic configuration diagram showing an example of the hardware configuration of the cold rolling planning system. FIG. 4 is a sequence diagram showing the procedure for formulating a continuous cold rolling plan in the cold rolling plan formulating system. FIG. 5 is a diagram for explaining steel plate specification data. FIG. 6 is a diagram showing an example of a constraint condition setting screen. FIG. 7 is a diagram showing an example of a steel type combination setting screen. FIG. 8 is a diagram for explaining an example of data created using a constraint condition template. FIG. 9 is a diagram for explaining an example of data created using a constraint template. FIG. 10A is a diagram showing the arrangement of the widths, thicknesses, and steel grades of a plurality of target coil materials corresponding to the input order of the target coil materials before the input order is formulated. FIG. 10B shows the width, thickness, and steel type of a plurality of target coil materials corresponding to the input order of the target multiple coil materials when the input order of the target multiple coil materials is determined manually. It is a diagram. FIG. 10C shows the width, thickness, and thickness of a plurality of target coil materials corresponding to the order in which the plurality of target coil materials are to be applied when the plan optimization calculation unit 204 formulates the order to apply the plurality of target coil materials. Indicates steel grade. FIG. 11 is a diagram for explaining an example of calculation result data represented by a table. FIG. 12 is a diagram for explaining an example of displaying calculation result data as an image.

A cold rolling planning system 200 (see FIG. 2) according to an embodiment of the present invention will be described with reference to the drawings. Hereinafter, the cold rolling planning system 200 will be referred to as the "planning system 200". In the following description, various types of information may be described using expressions such as “table” and “record”, but various types of information may be expressed using data structures other than these.

<Continuous cold rolling process>
First, in order to facilitate understanding of the present invention, the continuous cold rolling process (more strictly, the continuous pickling cold rolling process) targeted by the planning system 200 will be briefly described. FIG. 1 is a diagram for explaining a continuous cold rolling process targeted by a planning system 200 according to an embodiment of the present invention.

In the continuous cold rolling process, the preceding coil material and the succeeding coil material, which are processed in different order, are joined by welding each time the preceding coil material is delivered, thereby continuously rolling a plurality of coil materials. you can keep doing it. Therefore, the continuous cold rolling process can continuously produce steel plate products of various steel grades. Since the continuous cold rolling process can be operated continuously for 24 hours, productivity of steel sheet products can be improved. Since the continuous cold rolling process is well known, it will be briefly described below.

In the continuous cold rolling process, first, a coiled material (strip steel wound into a coil) is discharged by an uncoiler (not shown) and put into a PL-TCM (continuous pickling tandem cold rolling mill) 100. . In the PL-TCM 100, a welding process 101, a pickling process 102, a trimming process 103 and a rolling process 104, which will be described below, are executed in order.

In the welding process 101, every time the delivery of the preceding coil material is completed, the winding start end of the following coil material is welded to the winding end of the preceding coil material by a welding machine (not shown).

In the pickling process 102, the steel strip (steel plate) discharged from the coil material is pickled by pickling equipment (not shown) to remove oxide films and rust on the surface of the steel strip. In the trimming step 103, the shape of the steel strip is adjusted by trimming the steel strip with a trimmer (not shown). A rolling process 104 rolls the steel strip to a target thickness by a tandem rolling mill (not shown). After that, the steel strip rolled to the target thickness is wound up by a winder (not shown). As described above, steel sheet products of various steel grades rolled to various target thicknesses are continuously produced from a plurality of coil materials.

<Configuration>
FIG. 2 is a functional block diagram showing an example of the configuration of the planning system 200. As shown in FIG. The plan formulation system 200 is a system for formulating a cold rolling plan. A cold rolling plan refers to a production plan that determines when (in what order) to produce which product for a plurality of steel plate products (rolled products). In other words, the cold rolling plan is to formulate a plan for the order in which a plurality of coil materials, which are the materials for steel plate products, are put into the PL-TCM. The plan formulation system 200 automatically creates a plan for the order in which a plurality of coil materials, which are materials for steel plate products, are supplied to the PL-TCM 100 .

The plan formulation system 200 includes a target input unit 201 , a constraint storage unit 202 , a constraint setting input unit 203 , a plan optimization calculation unit 204 and a plan output unit 205 .

The target input unit 201 acquires steel plate specification data representing the specification of a target steel plate product required for planning, and inputs the acquired steel plate specification data to the plan optimization calculation unit 204 . For example, the target input unit 201 acquires steel plate specification data by importing a CSV format file corresponding to the specifications of steel plate products. Note that the target input unit 201 may acquire the steel sheet specification data by importing the steel sheet specification data from another system such as an MES (Manufacturing Execution System) using an interface other than a file format. The steel plate specification data will be described in detail later.

The constraint storage unit 202 holds (stores and saves) a plurality of constraint templates. The constraint storage unit 202 is also called a "storage unit" for convenience. Constraint templates are used to generate constraints used for optimization calculations when developing a cold rolling plan.

Furthermore, the constraint storage unit 202 holds (stores and saves) one or more combinations of a plurality of predetermined constraint templates recommended from among the plurality of constraint templates as a recommended constraint combination template. .

Constraint templates are configured such that information is entered (added, changed, deleted, etc.). A constraint template includes identification information (eg, name) for identifying the corresponding constraint. Note that the identification information may be identification information (for example, an identification number) other than the name. A constraint template is configured such that the unique parameters of the corresponding constraint are entered. The constraint template is configured to receive information indicating whether or not to include the corresponding constraint in the calculation conditions when performing the optimization calculation. Constraint templates are configured such that the priority with which the corresponding constraint is to be observed during the optimization computation is entered.

The constraint setting input unit 203 inputs (adds, changes, etc.) information to the constraint template. For example, the constraint setting input unit 203 adds information corresponding to the unique parameter of the constraint template to the constraint template. For example, the constraint setting input unit 203 inputs (sets) information (for example, a setting flag) indicating whether or not the corresponding constraint is included in the calculation conditions when performing the optimization calculation to the constraint template. .).

When the value of the setting flag is "1", it indicates that the constraint corresponding to the constraint template is included in the calculation conditions when performing the optimization calculation. When the value of the setting flag is "0", it indicates that the constraint corresponding to the constraint template is not included in the calculation conditions when performing the optimization calculation. In addition, hereinafter, including the constraint corresponding to the constraint template in the calculation conditions when performing the optimization calculation is also referred to as "the constraint (setting flag) is ON (is set)". called. Not including the constraint corresponding to the constraint template in the calculation conditions when performing the optimization calculation is also referred to as "the constraint (setting flag) is OFF (is set)." be done.

For example, the constraint setting input unit 203 receives information indicating the priority with which the corresponding constraint is observed during the optimization calculation (for example, a numerical value that increases as the priority increases (for example, from 0 to 1). Any numerical value of )) is entered (set) in the constraint template.

The plan optimization calculation unit 204 generates calculation conditions including constraints based on the constraint template into which the information is input, and formulates the order in which a plurality of coil materials are supplied to the PL-TCM.

For example, the plan optimization calculation unit 204 generates constraints based on the constraint template to which the unique parameters are input, and includes the constraints whose setting flag is ON and the priority corresponding to the constraints in the calculation conditions. . Further, the plan optimization calculation unit 204 sets calculation conditions by including information such as evaluation indices necessary for optimization calculation in the calculation conditions. The plan optimization calculation unit 204 performs optimization calculations under the set calculation conditions, thereby determining the order in which a plurality of coil materials corresponding to the specifications of the plurality of steel plates included in the steel plate specification data are supplied to the PL-TCM. Calculate.

Note that the plan optimization calculation unit 204 has a program necessary for executing processing for performing these calculations. By executing a program, the plan optimization calculation unit 204 determines the processing order of a plurality of target coil materials under calculation conditions set based on information such as steel sheet specification data and constraint template information input. By solving the optimization problem to be optimized, the order of inputting the plurality of target coil materials to the PL-TCM is calculated.

The plan output unit 205 outputs the results calculated by the plan optimization calculation unit 204 .

The plan formulation system 200 can be configured by, for example, a computer (information processing device). Note that the plan formulation system 200 does not necessarily have to be configured with one piece of hardware, and may be configured with a plurality of pieces of hardware. In that case, for example, each of the plurality of pieces of hardware may be capable of transmitting and receiving data to and from each other via the network. For example, by exchanging files between multiple pieces of hardware, each of the pieces of hardware may be able to transmit and receive data to and from each other via a network. A 5th generation mobile communication system (5G (5th Generation)) may be used for data transmission/reception (communication) between a plurality of pieces of hardware.

FIG. 3 is a schematic configuration diagram showing an example of the hardware configuration of the planning system 200. As shown in FIG. As shown in FIG. 3, the planning system 200 includes a server device 210 and a terminal 220. Server device 210 and terminal 220 are connected via network NW1.

The server device 210 includes a CPU 211, a ROM 212, a RAM 213, a nonvolatile storage device (HDD) 214 capable of reading and writing data, a network interface 215, an input/output interface 216, and the like. These are communicatively connected to each other via a bus 217 . The server device 210 is also called an “information processing device” for convenience.

The CPU 211 loads various programs (not shown) stored in the ROM 212 and/or the HDD 214 into the RAM 213 and executes the programs loaded into the RAM 213 to realize various functions. Various programs to be executed by the CPU 211 are loaded into the RAM 213 as described above, and data used when the CPU 211 executes various programs is temporarily stored. The ROM 212 and/or HDD 214 are non-volatile storage media, and various programs are stored in the ROM 212 and/or HDD 214 . The network interface 215 is an interface for connecting the planning system 200 to the network NW1. The input/output interface 216 is an interface for connecting to a keyboard, a display, and the like.

The terminal 220 includes a CPU 221, a ROM 222, a RAM 223, a non-volatile storage device (HDD) 224 capable of reading and writing data, a network interface 225, an input/output interface 226, and the like. These are communicatively connected to each other via a bus 227 . Furthermore, a display device 230 and an input device 240 are connected to the terminal 220 . Terminal 220 may include display device 230 and input device 240 .

The CPU 221 loads various programs (not shown) stored in the ROM 222 and/or the HDD 224 into the RAM 223 and executes the programs loaded into the RAM 223 to realize various functions. Various programs to be executed by the CPU 221 are loaded into the RAM 223 as described above, and data used when the CPU 221 executes various programs is temporarily stored. The ROM 222 and/or the HDD 224 are nonvolatile storage media, and various programs are stored in the ROM 222 and/or the HDD 224. The network interface 225 is an interface for connecting the planning system 200 to the network NW1. The input/output interface 226 is an interface for connecting to the display device 230, the input device 240, and the like.

The target input unit 201 includes various programs stored in the ROM 212 and/or the HDD 214 executed by the CPU 211 of the server device 210 , an input/output interface 216 and/or a network interface 215 . The constraint storage unit 202 is configured by the HDD 214 of the server device 210 .

For example, the constraint setting input unit 203 is connected to various programs stored in the ROM 222 and/or the HDD 224 executed by the CPU 221 of the terminal 220, the input/output interface 226 and/or the network interface 225, and the input/output interface 226. It is composed of a display device 230 and an input device 240 .

For example, the plan optimization calculation unit 204 is composed of various programs stored in the ROM 212 and/or the HDD 214 executed by the CPU 211 of the server device 210 .

For example, the plan output unit 205 includes various programs stored in the ROM 212 and/or HDD 214 executed by the CPU 211 of the terminal, an input/output interface 216 and/or a network interface 215, and a display device connected to the input/output interface 216. 230.

<Overview>
When systematizing planning work, it is necessary to clarify constraints and organize them as system requirements. However, if the requirements are incorporated into the system from scratch each time the system is constructed, it will take a long time to introduce the system. When hearing requirements from experts, know-how is often not documented, and it tends to take more time.

Above all, when building a system that automatically formulates a continuous cold rolling plan, it is necessary to consider the following points in each process, and it takes a lot of time and cost to set constraints. .

That is, unlike hot rolling, cold rolling is characterized in that the input steel sheets (that is, steel strips (steel sheets) discharged from a coil material) are welded and joined together. Therefore, it is necessary to consider not only the width and thickness of the steel sheets in the input order of the steel sheets to the rolling process 104, which is common to hot rolling, but also the welding process 101 in cold rolling. There is

In the welding process 101, the steel plates that are input continuously are welded, but the thickness, width, and steel type of the input steel plates are not necessarily the same. Welding points are weaker than other points, so if the difference in at least one of the thickness and width of the two steel plates to be welded exceeds a certain value, the possibility of breakage increases. In order to do so, it is necessary to consider the difference in thickness, width and steel grade of continuous steel plates. Furthermore, with regard to steel grades, the combination of steel grades that can be welded without any problems is determined by the facility. Furthermore, the input order of the steel sheets to the cold rolling process should be planned considering not only the constraints of the rolling process but also the constraints of the welding process described above. Even with the same parameters (for example, plate thickness difference, etc.), the welding process may have stricter constraints than the rolling process. Not only in the welding process 101, but also in the pickling process 102 and the trimming process 103, it may be necessary to set different constraint conditions.

In this way, when constructing a system that automatically formulates a continuous cold rolling plan, it is necessary to set constraints in consideration of many factors, so it is not easy to set appropriate constraints. do not have. Furthermore, when constructing a system for automatically formulating a continuous cold rolling plan, it takes a great deal of time and money to set appropriate constraints.

On the other hand, the plan formulation system 200 performs optimization calculation with constraints based on the steel plate specification data acquired by the target input unit 201 and the constraint conditions, so that a plurality of Automatically determines the order of introduction (rolling order) of a plurality of coil materials to the cold rolling process corresponding to the steel plate specifications. The planning system 200 retains (stores and saves) a plurality of constraint templates in order to easily and quickly generate constraints at this time.

For example, the planning system 200 provides the constraint template to the terminal 220 used by the user. A user can easily generate an appropriate constraint by inputting information into the constraint template via the terminal 220 . Furthermore, the user can set via the terminal 220 whether or not to use the constraint generated using the constraint template for the optimization calculation. Furthermore, the user can set, via the terminal 220, the priority of compliance with the constraints generated using the constraint template. Thereby, the planning system 200 can easily set (generate) appropriate constraint conditions in a short time. Therefore, the planning system 200 can reduce the possibility that setting appropriate constraints (calculation conditions including appropriate constraints) will take a lot of time and cost.

<Specific operation>
A specific operation of the planning system 200 will be described below. FIG. 4 is a sequence diagram showing an example of a cold rolling plan formulation process procedure of the plan formulation system 200 . As shown in FIG. 4, the plan formulation system 200 executes the cold rolling plan formulation process by sequentially performing the processes of S301 to S310 below.

S301: The target input unit 201 acquires steel plate specification data by, for example, importing a CSV format file corresponding to the steel plate specification data shown in FIG. In FIG. 5, the steel sheet specification data are represented by a table TB1.

Table TB1 has No. as columns for storing information (values). 501, input steel plate length 502, input steel plate width 503, input steel plate thickness 504, output target steel plate width 505, output target steel plate thickness 506, steel type 507, delivery date 508, and the like.

In the table TB1, information corresponding to each column of specifications of one steel plate product is associated with each other and stored as information (record) in units of one row. No. 501 is an identification number assigned to the specification of each steel plate product, and numbers are assigned in order from "1". The input steel plate length 502 stores the plate length of the coil material (input steel plate) used for manufacturing the steel plate product. The input steel plate width 503 stores the plate width (width) of the coil material used for manufacturing the steel plate product. The input steel plate thickness 504 stores the plate thickness (thickness) of the coil material used to manufacture the steel plate product. The output target steel plate width 505 stores the plate width of the steel plate product (the target value of the plate width of the steel plate product after rolling). The output target steel plate thickness 506 stores the plate thickness of the steel plate product (the target value of the plate thickness of the steel plate product after rolling). Steel type identification information indicating the steel type of the coil material is stored in the steel type 507 . The due date 508 stores the due date of the steel plate product.

S<b>302 : The target input unit 201 transmits the steel plate specification data to the plan optimization calculation unit 204 .

S303: The plan optimization calculation unit 204 receives steel plate specification data. In order to set calculation conditions including constraints used in the optimization calculation, the plan optimization calculation unit 204 sets constraints using a constraint template with information input (constraint template with information input). A request is made to the input unit 203 .

S304: The constraint setting input unit 203 requests the constraint storage unit 202 to provide a recommended constraint combination template corresponding to the steel plate specification data. Note that the constraint setting input unit 203 may select a plurality of constraint templates based on the user's operation and request the selected plurality of constraint templates.

S<b>305 : The constraint storage unit 202 identifies a recommended constraint combination template corresponding to the steel plate specification data, and transmits information including the identified recommended constraint combination template to the constraint setting input unit 203 . Note that when a plurality of constraint templates selected based on the user's operation are requested, the constraint storage unit 202 identifies the requested plurality of constraint templates and includes the requested plurality of constraint templates. , to the constraint setting input unit 203, information necessary for displaying a constraint setting screen 600, which will be described later.

S306: The constraint setting input unit 203 displays a constraint setting screen 600 as a GUI screen constituting a GUI (Graphical User Interface) on the display device 230, for example, based on the information including the recommended constraint combination template. FIG. 6 shows an example of a constraint setting screen 600. As shown in FIG.

As shown in FIG. 6, the constraint setting screen 600 displays a first column 601 displaying the name of the constraint and a first check box CB1 for setting each constraint to either ON or OFF. a second column 602 displaying a priority, a third column 603 displaying a first input box IB1 for specifying the priority by a numerical value within the range from 0 to 1, and each constraint (constraint template) It includes a second input box IB11 for setting corresponding unique parameters, a fourth column 604 displaying a steel type combination setting screen button Bt1, a model save button 605, and a model call button 606.

Note that the user operates the GUI (inputs information to the GUI) via the input device 240 such as a mouse and keyboard that constitutes the constraint setting input unit 203 . The constraint setting input unit 203 inputs information to the constraint template based on the information input to the GUI.

A first check box CB1 displayed in the second column 602 is operated by the user to set ON or OFF the constraint generated based on the corresponding constraint template. That is, when the user operates the first check box CB1 in a state where the check mark (check) of the first check box CB1 is not displayed, the constraint setting input unit 203 sets the constraint corresponding to the first check box CB1. The value of the setting flag of the condition template is set to "1", and a check mark (check mark) is displayed on the first check box CB1.

When the user operates the first check box CB1 while the check mark (check) of the first check box CB1 is displayed, the constraint setting input unit 203 displays the constraint template corresponding to the first check box CB1. set the value of the setting flag to "0". ), the check mark (check mark) displayed on the first check box CB1 is hidden.

A first input box IB1 displayed in the third column 603 is operated by the user to set the priority in the optimization calculation of the corresponding constraint template. That is, when the user inputs any numerical value within the range of 0 to 1 in the first input box IB1, the constraint condition setting input unit 203 sets the constraint generated from the constraint condition template corresponding to the first input box IB1. Set the priority in the condition optimization calculation to the value entered in the first input box IB1.

The second input box IB11 displayed in the second row of the fourth column 604 is the plate of the leading plate (leading coil material) and the trailing plate (following coil material), which are the specific parameters of the corresponding constraint template. Operated by the user to set the width difference limit. That is, when the user inputs a numerical value in the second input box IB11, the constraint setting input unit 203 sets the leading plate and trailing plate, which are the unique parameters of the constraint template corresponding to the second input box IB11. is set to the value entered in the second input box IB11.

A second input box IB11 displayed in the third row of the fourth column 604 allows the user to set the limiting value of the thickness difference between the leading and trailing strips, which is an intrinsic parameter of the corresponding constraint template. operated by That is, when the user inputs a numerical value in the second input box IB11, the constraint setting input unit 203 sets the leading plate and trailing plate, which are the unique parameters of the constraint template corresponding to the second input box IB11. is set to the value entered in the second input box IB11.

A steel type combination setting screen button Bt1 displayed in the fourth row of the fourth column 604 is for displaying a steel type combination setting screen 700 (see FIG. 7 described later), which is another GUI screen (from the constraint setting screen). 7) is operated by the user. That is, when the user operates the steel type combination setting screen button Bt1, the constraint setting input unit 203 displays the steel type combination setting screen 700 instead of the constraint setting screen 600. FIG.

A template save button 605 is operated by the user to save the contents that have been input to the constraint template via the constraint setting screen 600 . When the template save button 605 is operated by the user, the constraint setting input unit 203 saves in the constraint save unit 202 the recommended constraint combination template in which the unique parameters, priorities and setting flags have been input. A template call button 606 is operated by the user to redisplay the recommended constraint condition combination template including the saved contents. When the template call button 606 is operated by the user, the constraint setting input unit 203 calls the recommended constraint combination template including the saved contents from the constraint storage unit 202 and displays the constraint setting screen 600 .

FIG. 7 shows an example of a steel type combination setting screen. As shown in FIG. 7, the steel grade combination setting screen 700 includes a first column 701 displaying a third input box IB21 for inputting a steel grade identification name, and a second column 701 displaying the steel grade identification number of the preceding plate. 702, a third column 703 displaying a fourth input box IB31 for inputting the degree of recommendation of the combination of the trailing plate of the steel type with the steel type identification number 1 and the leading plate of the steel type with each steel type identification number, and the steel type A fourth column 704 displaying a fifth input box IB41 for inputting the degree of recommendation of the combination of the trailing plate of the steel grade of identification number 2 and the leading plate of the steel grade of each steel grade identification number, and the A fifth column 705 displaying a sixth input box IB51 for inputting the degree of recommendation of the combination of the trailing plate of the steel grade and the leading plate of the steel grade of each steel grade identification number, and the successor of the steel grade of the steel grade identification number 4 It includes a sixth column 706 displaying a seventh input box IB61 for inputting the degree of recommendation of the combination of the plate and the preceding plate of the steel grade of each steel grade identification number, and a back button 707 .

Each of the third input boxes IB21 displayed in the first column 701 is operated by the user to input the identification name (steel type identification name) of the steel type for which the recommendation level of the steel type combination is to be set. Each of the fourth input boxes IB31 displayed in the third column 703 is operated by the user to input the degree of recommendation of the combination of the trailing strip of the steel grade of identification number 1 and the leading strip of the steel grade of each identification number. be done. Each of the fifth input boxes IB41 displayed in the fourth column 704 is operated by the user to input the degree of recommendation of the combination of the trailing strip of the steel grade of identification number 2 and the leading strip of the steel grade of each identification number. be done. Each of the four sixth input boxes IB51 displayed in the fifth column 705 are used by the user to input the recommendation level of the combination of the trailing strip of the steel grade of identification number 3 and the leading strip of the steel grade of each identification number. operated by Each of the four seventh input boxes IB61 displayed in the sixth column 706 allow the user to enter the recommendation level of the combination of the trailing strip of the steel grade with identification number 4 and the leading strip of the steel grade of each identification number. operated by A return button 707 is operated by the user to return from the steel type combination setting screen 700 to the constraint setting screen 600 .

When the user inputs numerical values (degree of recommendation) for all of the third to seventh input boxes IB21 to IB61, the constraint setting input unit 203 inputs the steel grade of the leading plate and the steel grade of the trailing plate, which are constraints. is set to the value input for each of the third to seventh input boxes IB21 to IB61. As a result, the constraint setting input unit 203 generates the degree of recommendation of the combination of the steel grade of the preceding plate and the steel grade of the following plate as a unique parameter of the constraint template. The constraint setting input unit 203 inputs (sets) the degree of recommendation of the combination of the steel grade of the preceding plate and the steel grade of the trailing plate generated in the constraint setting template.

As described above, the constraint setting input unit 203 sets (inputs) information to the constraint template based on the information input to the GUI screen. FIGS. 8 and 9 are diagrams for explaining an example of a constraint condition template with information entered, represented by the table TB2. Constraint No. The information (specific parameter) corresponding to "3" in 801 is represented by table TB3 in FIG. 9 associated with table TB2 in FIG.

As shown in FIG. 8, the table TB2 has constraints No. as columns for storing information (values). 801, a setting flag 802, a priority 803, a first unique parameter 804, a second unique parameter 805, and the like.

In the table TB2, information corresponding to each column regarding one constraint is associated with each other and stored as one row unit information (record).

Constraint No. 801 stores the identification number of the constraint. A setting flag (ON/OFF flag) 802 stores the value of the setting flag indicating the setting state of the constraint. The priority 803 stores the priority of the constraint. A first unique parameter 804 stores a unique parameter corresponding to each constraint. In the second unique parameter 805, if there is a unique parameter corresponding to each constraint different from the unique parameter stored in the first unique parameter 804, that unique parameter is stored. Note that FIG. 8 shows an example in which no parameter corresponding to the second unique parameter 805 exists.

As shown in FIG. 9, the table TB3 includes steel type numbers as columns for storing information (values). 901, steel type identification name 902, steel type identification number "1" 903, steel type identification number "2" 904, steel type identification number "3" and steel type identification number "4".

In the table TB3, information corresponding to each column regarding one steel type identification number as a preceding plate is associated with each other and stored as one row unit of information (record).

Steel type no. 901 stores the steel type identification number. The steel type identification name 902 stores the steel type identification name. The steel type identification number “1” 903 stores the recommendation level of the combination of the steel type with the steel type identification name as the preceding plate and the steel type corresponding to the steel type identification number “1” as the following plate. The steel type identification number “2” 904 stores the recommendation level of the combination of the steel type with the steel type identification name as the preceding plate and the steel type corresponding to the steel type identification number “2” as the following plate. The steel type identification number “3” 905 stores the recommendation level of the combination of the steel type with the steel type identification name as the preceding plate and the steel type corresponding to the steel type identification number “3” as the following plate. The steel type identification number "4" 906 stores the recommendation level of the combination of the steel type with the steel type identification name as the preceding plate and the steel type corresponding to the steel type identification number "3" as the following plate.

S<b>307 : The constraint setting input unit 203 transmits the constraint template with the input information to the plan optimization calculation unit 204 .

S308: The plan optimization calculation unit 204 sets calculation conditions including constraints used for calculation based on the steel plate specification data received in S302 and the constraint template to which the information is input, and performs the set calculation. Under the conditions, an optimization calculation (planned optimization calculation) for optimizing the order in which the coil materials are supplied is executed based on an evaluation index appropriately set for performing the optimization calculation. As a result, the plan optimization calculation unit 204 formulates the order of inputting the target (a plurality of target coil materials) to the PL-TCM 100 based on the set constraint conditions. The plan optimization calculation unit 204 generates calculation result data representing the planning result. Here, an example of the calculation result of plan optimization and calculation result data will be described with reference to FIGS. 10A to 10C. FIG. 10A shows the arrangement of the sheet width, sheet thickness, and steel type of the plurality of target coil materials corresponding to the loading order of the plurality of target coil materials before the loading order is formulated. FIG. 10B shows the sheet width, sheet thickness, and steel type of the plurality of target coil materials corresponding to the order of inserting the plurality of target coil materials when the order of inserting the plurality of target coil materials is determined manually. . FIG. 10C shows the sheet width and the sheet thickness of the plurality of target coil materials corresponding to the supply order of the plurality of target coil materials when the plan optimization calculation unit 204 formulates the supply order of the plurality of target coil materials. and steel type.

This example shows three parameters related to the constraints of the rolling process and the welding process. I cannot say that I am. Furthermore, it takes a long time because the input order is determined manually. FIG. 10C shows the order of strip width, strip thickness, and steel type corresponding to the order of supplying a plurality of target coil materials as a result of the optimization calculation of this example. In the example of FIG. 10C, for optimization in the welding process, priority of constraints is assigned to steel types in particular, so a plan for the order of input that has acted (reflected) is formulated. In FIG. 10C, the plate width and plate thickness are organized, and the steel grades are also arranged appropriately. Furthermore, since the plan optimization calculation unit 204 determines the loading order, it is possible to determine the loading order in a short period of time.

FIG. 11 is a diagram for explaining an example of calculation result data represented by table TB4. As shown in FIG. 11, the table TB4 has an input order 1001, No. 3, and so on as columns for storing information (values). 501 , input steel plate length 502 , input steel plate width 503 , input steel plate thickness 504 , output target steel plate width 505 , output target steel plate thickness 506 , steel type 507 and delivery date 508 .

In the table TB4, the input order and the information corresponding to each column related to the steel plate specifications corresponding to the input order are associated with each other and stored as one line of information (record).

The input order 1001 stores a number indicating the order of introduction to the cold rolling process. No. 501, the input steel plate length 502, the input steel plate width 503, the input steel plate thickness 504, the output target steel plate width 505, the output target steel plate thickness 506, the steel type 507, and the delivery date 508 are the same as the steel plate specification data described above. be.

S<b>309 : The plan optimization calculation unit 204 transmits the calculation result data to the plan output unit 205 .

S310: The plan output unit 205 outputs calculation result data (formulation result).

For example, the plan output unit 205 outputs the calculation result data represented by the table TB4 shown in FIG. 11 in CSV file format to the terminal 220 of the cold rolling plan formulation system 200, for example.

The plan output unit 205 may arrange four first to fourth bar graphs Gr1 to Gr4 shown in FIG. 12 created based on the calculation result data and output them on the screen GM1. The screen GM1 includes a first bar graph Gr1, a second bar graph Gr2, a third bar graph Gr3 and a fourth bar graph Gr4. In the first bar graph Gr1, the horizontal axis represents the input order of the plurality of target coil materials, and the vertical axis represents the output target steel plate width of the coil materials. It represents the transition of the target steel plate width. In the second bar graph Gr2, the horizontal axis represents the input order of the plurality of target coil materials, and the vertical axis represents the output target steel plate thickness of the coil materials. It represents the transition of the target steel plate thickness. In the third bar graph Gr3, the horizontal axis represents the input order of the plurality of target coil materials, the vertical axis represents the output target steel sheet width of the coil materials, and the output target steel sheet width according to the input order of the multiple target coil materials. It represents the transition of In the fourth bar graph Gr4, the horizontal axis represents the input order of the plurality of target coil materials, and the vertical axis represents the output target steel plate thickness of the coil materials. It represents the change in steel plate thickness. For example, a user such as an expert can visually confirm the validity of the formulated plan by viewing the first to fourth bar graphs output on one screen.

<effect>
As described above, the cold rolling plan formulation system according to the embodiment of the present invention can easily set constraints necessary for formulating a cold rolling plan in a short time. That is, the cold rolling planning system according to the embodiment of the present invention can generate constraints for a complicated cold rolling planning system simply and in a short time by using the constraint template. Furthermore, according to the cold rolling planning system according to the embodiment of the present invention, even an unskilled person can easily generate constraint conditions in a short time. Therefore, the cold rolling plan formulation system according to the embodiment of the present invention makes it possible to eliminate individuality in setting constraint conditions, and solves the labor shortage (shortage of skilled workers), which has become a social issue. be able to.

<<Modification>>
The present invention is not limited to the above-described embodiments, and various modifications can be adopted within the scope of the gist of the present invention.

For example, in the above embodiment, the target input unit 201 may acquire steel sheet specification data from another system such as an MES (Manufacturing Execution System).

For example, in the above embodiment, the constraint setting input unit 203 may be provided in another system such as an MES (Manufacturing Execution System). In this case, the other system such as the MES may be provided with a display unit that displays a graphical user interface similar to the setting screens shown in FIGS.

In the above embodiment, the setting of the recommendation level of the steel grade combination is executed by numerical input on the steel grade combination setting screen. It is also possible to analyze the combination of steel grades of the leading coil material and the trailing coil material, and automatically set the optimum degree of recommendation based on the analysis results.

In the above embodiment, check boxes may be displayed in place of the input boxes on the steel type combination setting screen. In this case, whether or not it is possible to combine the steel types of the leading plate and the trailing plate may be set based on the user's operation on the check box. In the above-described embodiment, the coil material dispensing device may be controlled so that the coil material dispensing device automatically dispenses the coil materials sequentially in accordance with the established coil material loading order.

In the above embodiment, ON/OFF setting tools such as radio buttons and pull-downs are displayed instead of check boxes, and constraint conditions are set to ON and OFF based on the user's operation of the radio buttons, pull-downs, and the like. You may do so.

In the above embodiment, instead of the input box, a numeric input tool such as a pull-down or slider may be displayed, and a numeric value may be entered based on the user's operation on the pull-down or slider. In the above embodiment, the constraint condition is set to either ON or OFF depending on the priority (by setting the priority to either "0" or "a numerical value greater than 0") instead of the setting flag. may

100... PL-TCM, 200... Cold rolling plan formulation system, 201... Target input unit, 202... Constraint condition storage unit, 203... Constraint condition setting input unit, 204... Plan optimization calculation unit, 205... Plan output unit

Claims (11)

Acquiring steel sheet specification data including a plurality of information indicating specifications of steel sheet products manufactured from the coil material by a continuous cold rolling process, and based on the steel sheet specification data, specifications of the plurality of steel sheet products included in the steel sheet specification data A cold rolling plan formulation system including an information processing device that formulates the order of processing a plurality of coil materials corresponding to the continuous cold rolling process,
The information processing device is
including a storage unit storing a plurality of constraint templates in which specific information for generating constraints is input;
generating a plurality of the constraints based on the plurality of the constraint templates to which the specific information is input, including the plurality of the constraints in calculation conditions, and performing optimization calculation under the calculation conditions; By doing so, the order of processing the plurality of coil materials corresponding to the specifications of the plurality of steel plate products included in the steel plate specification data by the continuous cold rolling process is determined.
configured as
Cold rolling planning system. In the cold rolling planning system according to claim 1,
the storage unit stores a predetermined combination of the plurality of constraint templates as a recommended constraint combination template;
Cold rolling planning system. In the cold rolling planning system according to claim 2,
The constraint template is configured to further input flag information indicating whether or not the constraint generated based on the constraint template is included in the calculation conditions,
The information processing device is
setting whether or not the constraint generated based on the constraint template is included in the calculation conditions, based on the constraint template to which the flag information is input;
configured as
Cold rolling planning system. In the cold rolling planning system according to claim 2,
wherein the constraint template corresponds to the constraint generated based on the constraint template, and a priority for complying with the constraint is further input;
The information processing device is configured to include the priority corresponding to each of the plurality of constraints in the calculation conditions based on the constraint template in which the priorities are input.
Cold rolling planning system. In the cold rolling planning system according to claim 1,
The constraint template is configured such that a unique parameter, which is a parameter unique to the constraint generated based on the constraint template, is input as the specific information.
Cold rolling planning system. In the cold rolling planning system according to claim 5,
The plurality of constraints includes a welding process constraint that is the constraint regarding the welding process of the continuous cold rolling process,
Cold rolling planning system. In the cold rolling planning system according to claim 6,
The welding process constraint includes a thickness constraint that is the constraint on the difference in thickness between the preceding coil material and the succeeding coil material,
The constraint template corresponding to the thickness constraint is configured such that a parameter corresponding to the difference in thickness between the preceding coil material and the succeeding coil material is input as the unique parameter. rice field,
Cold rolling planning system. In the cold rolling planning system according to claim 6,
The welding process constraint includes a width constraint that is the constraint on the difference in width between the preceding coil material and the succeeding coil material,
The constraint template corresponding to the width constraint is configured such that a parameter corresponding to the difference in width between the preceding coil material and the succeeding coil material is input as the unique parameter.
Cold rolling planning system. In the cold rolling planning system according to claim 6,
The welding process constraint is a recommendation degree constraint that is the constraint regarding the degree of recommendation of the combination of the steel grade of the preceding coil material and the steel grade of the subsequent coil material,
The constraint template corresponding to the recommendation degree constraint is configured such that the recommendation degree of a combination of the steel grade of the preceding coil material and the steel grade of the subsequent coil material is input as the unique parameter. rice field,
Cold rolling planning system. In the cold rolling planning system according to claim 1,
The information processing device is
Acquiring production control information from a manufacturing execution system, and acquiring the steel sheet specification data from the production control information;
configured as
Cold rolling planning system. Acquiring steel sheet specification data including a plurality of information indicating specifications of steel sheet products manufactured from the coil material by a continuous cold rolling process, and based on the steel sheet specification data, specifications of the plurality of steel sheet products included in the steel sheet specification data A cold rolling plan formulating method using an information processing device for formulating the order of processing the plurality of coil materials corresponding to the continuous cold rolling process,
The information processing device is
including a storage unit storing a plurality of constraint templates in which specific information for generating constraints is input;
By the information processing device,
generating a plurality of the constraints based on the plurality of the constraint templates to which the specific information is input, including the plurality of the constraints in calculation conditions, and performing optimization calculation under the calculation conditions; By doing so, the order of processing the plurality of coil materials corresponding to the specifications of the plurality of steel plate products included in the steel plate specification data by the continuous cold rolling process is determined.
Cold rolling planning method.

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