JP2021005305A - Heat treatment planning device and heat treatment planning method - Google Patents

Abstract

To make a plan for simultaneously fitting treatment objects having different temperature conditions into a heat treatment furnace.SOLUTION: A heat treatment planning device holds required amounts of treatment objects, respective temperature conditions of the treatment objects, and the capacity of a heat treatment furnace, upon determination based on the required amounts and the capacity, that a first heat treatment furnace assigned with the first treatment object can be further assigned with the treatment objects different from the first treatment object, generates, for each of the different treatment objects, a new temperature condition indicating temperature transition having a change amount equal to or less than a change amount of temperature transition indicated by both temperature conditions of the different treatment objects and the first treatment object and temperature maintenance for temperature maintenance time or longer indicated by both temperature conditions, calculates both temperature conditions and a loss when both are fitted into the first heat treatment furnace based on and the aforementioned temperature conditions, and assigns the treatment object which is included in the different treatment objects and which has the smallest loss into the first heat treatment furnace.SELECTED DRAWING: Figure 1

Description

The present invention relates to a heat treatment planning apparatus and a heat treatment planning method.

In the metal plastic working line, after heat treatment of steel ingots, steel pieces, etc. at the temperature and time specified in the heating furnace, forging equipment and rolling equipment (collectively, forging equipment) By performing hot plastic working (collectively referred to as forging pressure treatment) such as forging and rolling in (also referred to as forging), a processing target having a desired shape can be obtained.

The heating furnace that performs the heat treatment has restrictions such as the chargeable capacity and the feasible temperature condition, and the heating condition consisting of the heating temperature and the heating time is defined for each treatment target. When heat-treating an arbitrary treatment target group under heating conditions, planning which treatment target is charged into which heating furnace in what amount is called a batch knitting plan.

As a background technique in this technical field, there is Japanese Patent Application Laid-Open No. 2015-140453 (Patent Document 1). In this publication, "If a specific slab is specified from the slabs to be heated in the batch furnace, the slab that can be heated in the batch furnace is extracted as a combinationable slab in combination with the specific slab, and the specific slab is arranged and displayed at a predetermined position. After that, the maximum slab having the largest occupied area when placed on the hearth is selected from the slabs that can be combined, and the maximum slabs are arranged and displayed in the order of the largest occupied area in the furnace length direction. After being arranged side by side, the largest slab with the next largest occupancy area is arranged and displayed at predetermined positions in the furnace width direction and the furnace length direction with respect to the slab arranged first. The predetermined position with respect to the slab arranged earlier is displayed. When there are two or more, select the position of the maximum slab that maximizes the square hearth area of the part where the slab is not placed. ”(See summary).

JP-A-2015-140453

Generally, in a batch knitting plan, there is a plan to reduce the fuel cost per product by knitting as many processing targets as possible that match the temperature conditions (for example, heating conditions) that are the conditions related to temperature transition and temperature maintenance in the heat treatment furnace. Although it is planned as a good plan, there are various temperature conditions in the high-mix production line.

The technique of Patent Document 1 selects an arrangement target from a combinationable treatment target that can be heat-treated in combination with an arbitrary treatment target, and makes possible the ratio of the area occupied by the treatment target to the heat treatment furnace bed area. Although a method of arranging an object in a heat treatment furnace to be enlarged is provided, Patent Document 1 does not disclose a specific definition of a combinationable processing object.

If this combinatorial processing target is composed of only targets having the same temperature conditions, a large number of batches consisting of a small number of target groups will be processed, which causes a decrease in the filling rate of the heat treatment furnace and an increase in fuel cost. There is a risk.

Further, if the combinationable processing target includes a processing target having different temperature conditions, the technique described in Patent Document 1 has a function of calculating the temperature condition when the processing targets having different temperature conditions are simultaneously treated in the heat treatment furnace. Since it does not have it, it may cause an increase in fuel cost due to an increase in heat treatment time.

Therefore, one aspect of the present invention is to formulate a plan for simultaneously charging treatment targets having different temperature conditions into the heat treatment furnace, and thus to formulate a plan for improving the heating furnace filling rate and reducing the fuel cost. The purpose is.

In order to solve the above problems, one aspect of the present invention adopts the following configuration. It is a heat treatment planning apparatus and has a processor and a memory, and the memory includes order information indicating a processing target on which heat treatment is executed and a required amount of the processing target, and a temperature in each heat treatment of the processing target. The processor holds the temperature condition information indicating the temperature condition which is the condition of transition and the temperature maintenance, the heat treatment furnace for executing the heat treatment, and the heat treatment furnace information indicating the capacity of the heat treatment furnace, and the processor receives the order information. The plan generation process for generating a plan in which the treatment target indicated by is assigned to the heat treatment furnace indicated by the heat treatment furnace information is executed, and in the plan generation process, the first treatment target is assigned to the first heat treatment furnace to which the first treatment target is assigned. When it is determined based on the required amount indicated by the order information and the capacity indicated by the heat treatment furnace information that it is possible to further allocate a processing target different from the above, the temperature condition is determined for each of the different processing targets. With reference to the information, the temperature transition having a change amount equal to or less than the change amount of the temperature transition indicated by the temperature conditions of both the different treatment target and the first treatment target and the temperature maintenance time indicated by both of the heat conditions or more. A new temperature condition indicating temperature maintenance is generated, and the loss when both of them are charged into the first heat treatment furnace is calculated based on both of the above temperature conditions and the generated new temperature condition. , A heat treatment planning apparatus that allocates the heat treatment target having the smallest calculated loss among the different treatment targets to the first heat treatment furnace.

In one aspect of the present invention, it is possible to formulate a plan for simultaneously charging treatment targets having different temperature conditions into a heat treatment furnace, and thus to improve a heating furnace filling rate and reduce fuel costs.
Issues, configurations and effects other than those described above will be clarified by the description of the following embodiments.

It is a block diagram which shows the structural example of the hot working system in Example 1. FIG. It is a block diagram which shows the structural example of the computer which comprises each apparatus included in the hot working system in Example 1. FIG. This is an example of the heating furnace information table in the first embodiment. This is an example of the steel ingot information storage table in the first embodiment. It is an example of the heating condition table in Example 1. This is an example of the order information table in the first embodiment. It is a flowchart which shows an example of the batch organization plan processing in Example 1. FIG. It is explanatory drawing which shows an example of the heating condition of the steel ingot A in Example 1. FIG. It is explanatory drawing which shows an example of the heating condition of the steel ingot B in Example 1. FIG. It is explanatory drawing which shows an example of the heating condition when the steel ingot A and the steel ingot B in Example 1 are charged into a heating furnace at the same time. This is an example of the organization result display screen in the first embodiment. It is a block diagram which shows the structural example of the hot working line production planning apparatus in Example 2. FIG. It is a flowchart which shows an example of the hot working line production plan processing in Example 2. FIG. This is an example of the hot working line production plan display screen in the second embodiment.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. It should be noted that this does not limit the present invention. In the embodiment, the same members are designated by the same reference numerals in principle, and the repeated description will be omitted. First, the terms used in this embodiment are defined.

FIG. 1 is a block diagram showing a configuration example of a hot working system. The hot working system includes, for example, a hot working line 101, a batch knitting planning device 105, a work record collecting device 116, and a work instruction device 114, which are connected to each other via a network 115 such as the Internet. ing.

The hot working line 101 performs hot plastic working on a steel ingot called a steel ingot according to the knitting plan generated by the batch knitting plan. The steel ingot is an example of a processing target in the hot working line 101.

The hot working line 101 includes a heating furnace group 102 consisting of one or more heating furnaces, a transfer device group 103 consisting of one or more transfer devices, and a forging device group 104 including a rolling device, a forging device, and the like. The heating furnace heats the ingot at an appropriate temperature and time. The transport device transports the heat-treated steel ingot to the forging device group 104. Each device of the forging device group 104 deforms the ingot into a desired shape by performing a forging process such as forging or rolling on the ingot.

The work record collecting device 116 monitors the work status of the hot working line 101. The work record collecting device 116 collects the monitored work status as a work record and transmits it to the batch knitting planning device 105. The work instruction device 114 gives a work instruction on the hot working line 101 based on the work plan output from the batch knitting planning device 105.

The batch knitting planning device 105 plans the heating furnace batch knitting in the hot working line 101. The batch knitting planning device 105 includes, for example, an information storage unit 106, a control unit 108, and a knitting result display unit 113.

The information storage unit 106 stores information used in the batch organization plan. The information storage unit 106 holds, for example, a heating furnace information table 200, a steel ingot information table 300, a heating condition table 400, and an order information table 500.

The heating furnace information table 200 holds information about the heating furnace included in the heating furnace group 102. The steel ingot information table 300 holds information about the steel ingot to be processed in the heating furnace. The heating condition table 400 holds information about the heating conditions, which are the conditions for heating each steel ingot shown in the steel ingot information table 300. The order information table 500 holds information about orders for steel ingots that are the target of the batch knitting plan.

The control unit 108 formulates a batch knitting plan for simultaneously knitting steel ingots having different heating conditions. The control unit 108 includes, for example, a heating condition calculation unit 109, a steel ingot charging determination unit 110, a batch knitting planning unit 111, and a fuel cost calculation unit 112.

The heating condition calculation unit 109 calculates the heating conditions when steel ingots having different heating conditions are simultaneously charged into the same heating furnace. The heating condition is, for example, a temperature-related condition indicating the amount of change in the temperature transition when the temperature of the ingot is changed and the maintenance time when the temperature is maintained. The steel ingot charging determination unit 110 determines whether or not the steel ingot can be charged into the heating furnace in the formulation of the batch knitting plan. The batch organization planning unit 111 executes the drafting of the batch organization plan. The fuel cost calculation unit 112 calculates the fuel cost for heat-treating the ingot in the heating furnace. The knitting result display unit 113 outputs the processing result of the control unit 108 to a display device such as a display.

FIG. 2 is a block diagram showing a configuration example of a computer constituting each device included in the hot working system. The computer 601 includes an input device 602, an output device 603, an auxiliary storage device 604, a CPU 606, a memory 607, and a communication device 608, which are connected to each other by an internal communication line such as a bus.

The CPU 606 includes a processor, which executes a program stored in memory 607. The memory 607 includes a ROM which is a non-volatile storage element and a RAM which is a volatile storage element. The ROM stores an invariant program (for example, BIOS) and the like. The RAM is a high-speed and volatile storage element such as a DRAM (Dynamic Random Access Memory), and temporarily stores a program executed by a processor and data used when the program is executed.

The auxiliary storage device 604 is, for example, a large-capacity and non-volatile storage device such as a magnetic storage device (HDD) or a flash memory (SSD), and stores a program executed by a processor and data used when executing the program. .. That is, the program is read from the auxiliary storage device 604, loaded into the memory 607, and executed by the processor.

The input device 602 is a device that receives input from an operator, such as a keyboard or a mouse. The output device 603 is a device such as a display device or a printer that outputs a program execution result in a format that can be visually recognized by an operator. The communication device 608 is connected to the network 115 and controls communication with other devices according to a predetermined protocol.

The program executed by the processor is provided to the computer 601 via removable media (CD-ROM, flash memory, etc.) or network 115, and is stored in the non-volatile auxiliary storage device 604, which is a non-temporary storage medium. Therefore, the computer 601 may have an interface for reading data from removable media.

Each device included in the hot working system is a computer system composed of physically one computer or a plurality of computers logically or physically configured, and is separate on the same computer. It may run on multiple physical computer resources, or it may run on a virtual computer built on multiple physical computer resources.

Further, the computer 601 can be operated by an operator. For example, by inputting information stored in the information storage unit 106 to the batch knitting planning device 105 configured by the computer 601 at an arbitrary timing, for example, a planner who is an operator of the batch knitting planning device 105. , You can get the planning plan result.

The control unit 108 of the batch organization planning device 105, each function unit included in the control unit 108, and the organization result display unit 113 are included in the processor of the CPU 606 included in the computer 601 constituting the batch organization planning device 105. For example, the processor functions as a heating condition calculation unit 109 by operating according to the heating condition calculation program loaded in the memory 607, and operates according to the steel ingot charging determination program loaded in the memory 607 to operate the steel ingot. It functions as a charging determination unit 110. The same applies to other functional parts included in the processor.

Further, the information stored in the information storage unit 106 of the batch organization planning device 105 is stored in a part of the storage areas of the auxiliary storage device 604 and / or the memory 607. In the present embodiment, the information used by each device of the hot working system may be represented by any data structure without depending on the data structure. In the present embodiment, the information held by the information storage unit 106 is represented by a table structure, but a data structure appropriately selected from a table, a list, a database, or a queue can store the information. ..

FIG. 3 is an example of the heating furnace information table 200. The heating furnace information table 200 shows, for example, a heating furnace column 201 that stores information indicating a name that identifies a heating furnace, a number column 202 that stores information indicating the number of heating furnaces, and a capacity of the heating furnace. It has a furnace capacity column 203 for storing information and an operating cost column 204 for storing information indicating the cost of operating the heating furnace.

Since the furnace capacity column 203 is used for calculating the size and number of steel ingots that can be put into the heating furnace, information indicating the shape of the heating furnace may be stored in addition to the capacity. The operating cost column 204 shows, for example, the fuel cost per unit time when heating at a predetermined temperature is performed. This makes it possible to calculate the fuel cost required to execute arbitrary heating conditions in any heating furnace.

FIG. 4 is an example of the steel ingot information table 300. The steel ingot information table 300 includes, for example, a steel ingot column 301 for storing information indicating a name for identifying the ingot, a shape column 302 for storing information indicating the shape of the ingot, and a heating furnace capable of heating the ingot. It has a used furnace column 303 for storing information indicating the above, and a heating condition column 304 for storing information indicating the name of the heating condition when the ingot is heated in the heating furnace.

FIG. 5 is an example of the heating condition table 400. The heating condition table 400 stores, for example, a heating condition column 401 that stores information having a name that identifies the heating condition, one or more temperature columns 402 that store the heating temperature information of the heating condition, and heating time information of the heating condition. It has one or more time columns 403 and.

The temperature column 402 and the time column 403 show the transition of the temperature with respect to the time change. For example, for a certain heating condition, the values in the temperature column 402 and the time column 403 are 600 ° C., 60 seconds, 1000 ° C., 120 seconds in order from the left, that is, the temperature for maintaining the temperature in the heat treatment of the ingot is 1000 ° C. In the case, the heating condition indicates that the transition (maintenance) is performed from 600 ° C. to 1000 ° C. in 60 seconds and from 1000 ° C. to 1000 ° C. in 120 seconds.

In the example of FIG. 5, an example in which the heating condition shows a linear transition with the temperature is shown, but any function may be used regardless of whether it is linear or non-linear. In this case, the temperature column 402 and the time column 403 are the same. Stores information indicating the function. Also, under heating conditions, the temperature may not only rise or be maintained over time, but may also fall (ie, annealing may be performed).

Since the temperature transition indicated by the heating conditions only indicates the ideal temperature transition, the quality of the ingot can maintain the temperature transition indicated by the heating conditions when the temperature of the ingot is changed. It is good to follow in the range. In the present embodiment, since the temperature transition indicated by the heating condition indicates the temperature transition in the shortest time that can maintain the quality of the ingot, the temperature changes more slowly than the amount of temperature change per hour indicated by the heating condition. You may let me. For example, when raising the temperature of the ingot, the temperature of the ingot may be raised with a slope smaller than the slope of the function of the temperature rise indicated by the heating conditions (differential coefficient if it is a function of a curve). When lowering the temperature of the ingot, the temperature of the ingot may be lowered by a slope larger than the slope of the temperature reduction function indicated by the heating conditions (differential coefficient in the case of a curve function). Further, since the temperature holding time indicated by the heating conditions only indicates the shortest temperature holding time, the temperature may be held for a longer time than this.

FIG. 6 is an example of the order information table 500. The order information table 500 includes, for example, a steel ingot column 501 that stores information indicating a name that identifies a steel ingot to be ordered, and a request amount column 502 that stores information that indicates the required amount of the ingot to be ordered. Have.

FIG. 7 is a flowchart showing an example of batch formation planning processing. First, the control unit 108 reads the information of the heating furnace information table 200 and the steel ingot information table 300 (S101). The information reading process in step S101 does not have to be executed every time the batch knitting planning process is performed, and for example, when a heating furnace is newly installed or fails in the hot working line 101, these It only needs to be executed when the values in the table change. Subsequently, the control unit 108 reads the information in the order information table 500 (S102).

The steel ingot charging determination unit 110 can specify each steel ingot included in the order information table 500, refer to the furnace column 303 of the steel ingot information table 300, and charge each steel ingot and the steel ingot. All combinations (referred to as initial combinations) with the heating furnace are generated (S103). Hereinafter, a batch organization plan is generated for each initial combination.

The steel ingot charging determination unit 110 selects one initial combination, and selects the steel ingot and the heating furnace included in the initial combination (S104). The steel ingot charging determination unit 110 assigns the selected steel ingot (referred to as steel ingot A) to the selected heating furnace (referred to as heating furnace X) (S105).

The steel ingot charging determination unit 110 includes a machine number column 202 and a furnace capacity column 203 of the heating furnace information table 200, a shape column 302 and a used furnace column 303 of the steel ingot information table 300, and a steel ingot column of the order information table 500. From the value of 501, it is determined whether or not there is a steel ingot that can be further charged into the heating furnace X (S106).

When the steel ingot charging determination unit 110 determines that there is no further steel ingot that can be charged into the heating furnace X (S106: NO), the batch knitting planning unit 111 determines that the heating furnace X is for the selected initial combination. (S107). The batch knitting planning unit 111 determines whether all the steel ingots shown in the order information table 500 have been assigned to the heating furnace (S108).

When it is determined that all the steel ingots shown in the order information table 500 have been assigned to the heating furnace (S108: YES), the batch knitting planning unit 111 determines and stores the batch knitting plan for the selected initial combination, and all of them. The assignment of the steel ingot to the heating furnace is released (S109). The batch knitting planning unit 111 determines whether all the initial combinations have been selected (S110). When the batch knitting planning unit 111 determines that there is an unselected initial combination (S110: NO), the batch knitting planning unit 111 returns to step S104.

When the steel ingot charging determination unit 110 determines that there are more steel ingots that can be charged into the heating furnace X (S106: YES), the heating condition calculation unit 109 determines that each of the steel ingots that can be charged is charged. The heating conditions when the ingot and the ingot assigned to the heating furnace X are simultaneously charged into the heating furnace X are calculated (S112). The details of the calculation method of the heating conditions in step S112 will be described later.

Based on each heating condition calculated in step S112, the fuel cost calculation unit 112 minimizes the fuel cost loss when the steel ingots assigned to the heating furnace X are simultaneously charged among the steel ingots that can be charged. The steel ingot is specified, and the ingot charging determination unit 110 selects the specified ingot as the ingot A (S113), and returns to step S105. The details of the fuel cost loss calculation method in step S113 will be described later.

When the batch knitting planning unit 111 determines that some of the steel ingots shown in the order information table 500 are not assigned to the heating furnace (S108: NO), the unallocated steel ingots and the steel ingots are charged. A heating furnace that is possible and whose batch knitting is undecided is selected, the selected steel ingot is designated as steel ingot A, and the selected heating furnace is designated as heating furnace X (S114). In step S114, when the batch knitting planning unit 111 determines that there is no heating furnace capable of charging the ingots even though there are unallocated steel ingots, for example, the initial selection is being made. Since the plan for the combination cannot be generated, the process proceeds to step S110.

In step S114, the ingot charging determination unit 110 may select the ingot A to which the heating furnace is not assigned based on a predetermined rule (for example, a predetermined priority), or is in charge of planning. The ingot designated by the person may be selected as the ingot A.

Further, in step S114, the steel ingot charging determination unit 110 may select the heating furnace X based on a predetermined rule (for example, a predetermined priority), or heats the heating furnace designated by the person in charge of planning. It may be selected as the furnace X. For example, the information storage unit 106 stores in advance the time required for the heat treatment when the steel ingot A is knitted for each heating furnace, and the heating furnace having the minimum load (for example, the shortest time) in the rule. May be selected as the heating furnace X.

In step S105, the ingot charging determination unit 110 requests the number column 202 and the furnace capacity column 203 of the heating furnace information table 200, the shape column 302 of the ingot information table 300, and the order information table 500. If it is determined from the values in columns 502 and that the total amount of the selected steel ingots cannot be accommodated even if all the machines of the heating furnace X are used, the maximum amount of steel ingots A that can be accommodated by all the machines of the heating furnace X. Is assigned to the heating furnace X to determine the batch formation of the heating furnace X. Further, the steel ingot charging determination unit 110 further selects a heating furnace in which the steel ingot A is an unknitted heating furnace and can be charged with the steel ingot A, for example, in the same manner as in step S113. Let it be a heating furnace X.

In step S110, when the batch knitting planning unit 111 determines that all the initial combinations have been selected (S110: YES), the batch knitting planning unit 111 costs out of the batch knitting plans generated for each initial combination. Outputs a low knitting plan, the knitting result display unit 113 displays the knitting plan on the output device 603 (S111), and ends the batch knitting plan process.

Specifically, for example, the batch knitting planning unit 111 applies to each heating furnace used in the batch knitting plan for each generated batch knitting plan per unit time indicated by the operating cost column 204 of the heating furnace information table 200. The total operating cost of each heating furnace used in the batch knitting plan is calculated by multiplying the operating cost of. As a result, the batch knitting planning unit 111 can output a low-cost batch knitting plan. The batch knitting planning unit 111 may output a batch knitting plan having a cost of a predetermined value or less, or may output a predetermined number of batch knitting plans in ascending order of cost.

In step S111, the batch knitting planning unit 111 may calculate an evaluation value and output a knitting plan having a high evaluation value. The evaluation value is obtained from, for example, a cost reduction function, a heating time reduction function, or the like.

Hereinafter, an example of a method for calculating the heating conditions when different types of steel ingots are simultaneously charged into the heating furnace in step S112 and an example of the method for calculating the fuel cost loss in step S113 will be described. Here, for convenience of explanation, an example is shown in which only heat treatment is performed and annealing is not performed.

FIG. 8A is an explanatory diagram showing an example of heating conditions for the steel ingot A. FIG. 8B is an explanatory diagram showing an example of heating conditions for the steel ingot B. FIG. 8C is an explanatory diagram showing an example of heating conditions when the ingot A and the ingot B are charged into the heating furnace at the same time. The heating conditions are shown in a line graph in FIGS. 8A to 8C. Hereinafter, under the heating conditions of the ingot X, the nth holding temperature is T _xn , the holding time of T _xn is t _xn , and the temperature rise rate of the ingot X up to T ° C. (that is, the temperature rise or temperature fall portion of the line graph). (Differential coefficient if the graph is a curve)) is described as _RXT . For simplicity, the initial temperature of each steel ingot is set to T ₀ .

According to the example of FIG. 8A, the heating conditions of the steel ingot A are as follows. The temperature is raised from the temperature T ₀ to TA ₁ at the temperature rise rate R _{AT 1} and the temperature TA ₁ is maintained for the time t A ₁ . Furthermore, the temperature is raised to _{T A2} at a heating rate _{R AT2,} when maintained during the temperature _{T A2} time _{t A2,} comprising a steel ingot A and forged processable state.

According to the example of FIG. 8B, the heating conditions of the steel ingot B are as follows. From a temperature _{T 0} Atsushi Nobori rate _{(R AT1} <) the temperature is increased at _R BT1 _{(<R AT2)} to _{(T A1 <) T B1 (} <T A2), is maintained between the temperature _{T B1} of time _{t B1.} Moreover, heating-up rate _(R AT2 _<) the temperature is increased at _{R BT2} to _(T A2 _<) T _B2, when maintained during the temperature _{T B2} of time _{t B2,} comprising a steel ingot B and forged processable state.

Hereinafter, the details of the process in step S112 will be described. (1) The heating condition calculation unit 109 sets an initial value of the temperature at time t = 0, and sets this as the current temperature. (2) For each of the ingot A and the ingot B, the heating condition calculation unit 109 sets the holding temperature to reach the earliest among the unreached holding temperatures indicated by the heating conditions, and the holding temperature from the current temperature to the holding temperature. Identify the heating rate.

(3) The heating condition calculation unit 109 raises the ingot A and the ingot B from the current temperature to the value closest to the current temperature among the specified holding temperatures according to the lowest heating rate among the specified heating rates. Decide to warm. (4) The heating condition calculation unit 109 determines to hold the holding temperature for the holding time corresponding to the holding temperature after the temperature rise, and updates the current temperature to the holding temperature.

The heating condition calculation unit 109 repeats the processes (2) to (4) until all the holding temperatures of the ingot A and the ingot B are maintained, so that the ingot A and the ingot B are simultaneously put into the heating furnace. It is possible to calculate the heating conditions when charging. The heating condition calculation unit 109 determines that the steel ingot A and the steel ingot B are taken out from the heating furnace when the heating conditions are satisfied. As a result, the upper limit temperature indicated by the heating conditions of each steel ingot can be observed.

In the example of FIG. 8A, first, the heating condition calculation unit 109 sets the temperature at the time t = 0 indicated by the heating condition of the steel ingot A to the current temperature T ₀ . Heating condition calculation unit 109, the holding temperature of the earliest non-arrival of the steel ingot A is T _A1, the rate of temperature rise from the current temperature to T _A1 is R _AT1, the earliest unreached steel ingot B the holding temperature is _{T B1,} rate of temperature rise from the current temperature to _{T B1} is for an _{R BT1,} heating condition calculation unit 109 identifies them.

Close to the current temperature towards T _{B1 T A1 than} for a R AT1 _{<R BT1,} heating condition calculation unit 109, from the present temperature to _{T A1,} the steel ingot at a heating rate _{R AT1} A and steel ingot B Decide to heat. For holding temperature _{T A1} retention time corresponding to is _{t A1,} the heating condition calculation section 109 _decides to retain _{t A1} only holding temperature _{T A1,} it updates the current temperature to _{T A1.}

The heating condition calculation unit 109 can calculate the heating conditions shown in FIG. 8C by repeating such a process. The heating conditions shown in FIG. 8C are conditions in which the operating time of the heating furnace is the shortest among those that satisfy the heating conditions of both the ingot A and the ingot B. Further, the heating condition calculation unit 109 determines that the steel ingot A is taken out from the heating furnace when the holding temperature T _A1 is held at t _A1, and the steel ingot B is taken out from the heating furnace when the holding temperature T _B1 is held at t _B1 .

When the steel ingot A and the steel ingot B are already charged in the heating furnace and the steel ingot C is further charged, the heating condition calculation unit 109 shows that the steel ingot A and the steel ingot B are simultaneously charged. The calculated heating conditions in the case of charging are regarded as the heating conditions of one steel ingot, and from the heating conditions and the heating conditions of the ingot C, the ingot A, the ingot B, and the ingot B and the ingot B are obtained in the same manner. The heating conditions when the steel ingot C is charged at the same time may be calculated.

In step S112, the fuel cost calculation unit 112 sets the area SA of the region surrounded by the heating conditions of the ingot A shown in FIG. 8A and the time axis from the start to the end of heating of the ingot _A to steel. It is calculated as a value indicating the fuel cost of the mass A. Similarly, the fuel cost calculation unit 112 sets the area SB of the region surrounded by the heating conditions of the ingot B shown in FIG. 8B and the time axis from the start to the end of heating of the ingot _B to the ingots. Calculated as a value indicating the fuel cost of B.

Similarly, the fuel cost calculation unit 112 determines the heating conditions when the ingot A and the ingot B shown in FIG. 8C are simultaneously charged into the heating furnace, and from the start to the end of heating the ingot A and the ingot B. The areas S _{A and B} of the area surrounded by the time axis of are calculated as values indicating the fuel cost when the ingot A and the ingot B are simultaneously charged into the heating furnace.

In step S113, the fuel cost calculation unit _{112, L A, B = S A} , B - the _(S A + S _B), as fuel costs loss when co-charged with the steel ingot A and steel ingot B in a heating furnace calculate. The fuel cost calculation unit 112, n (≧ 3) kinds of steel ingot (steel ingot A _1, · · ·, the steel ingot A _n) fuel costs loss when is simultaneously charged into one heating furnace , _{LA1, ···, An} = S _{A1, ···, An} − (S _A1 + ··· + S _An ).
Through the above-described processing, the control unit 108 can realize a formation plan that reduces the total heating fuel cost when processing an arbitrary order as much as possible.

FIG. 9 is an example of the knitting result display screen displayed by the knitting result display unit 113 in step S111. The knitting result display screen 901 includes, for example, a knitting result display area 902, a knitting detail display area 903, a heating condition display area 904, and a comprehensive information display area 905. In the example of FIG. 9, the knitting result display screen 901 displays one batch knitting plan.

The knitting result display area 902 displays information indicating the heating furnace used for the knitting result. In the example of FIG. 9, a plurality of furnaces A of the same type are identified and displayed as furnace A1, furnace A2, furnace A3, and so on, respectively.

When the identifier of the heating furnace is selected in the knitting result display area 902, the detailed information of the selected heating furnace is displayed in the knitting detail display area 903. The knitting detail display area 903 displays, for example, a knitting content list and heating furnace information. The knitting content list displays, for example, the type and quantity of steel ingots assigned to the heating furnace selected in the knitting result display area 902. The heating furnace information displays, for example, the heating time, which is the time when the heating furnace is used, the filling rate of the heating furnace, and the fuel cost (cost) in the heating furnace.

The heating condition display area 904 is, for example, the heating condition of the steel ingot charged into the heating furnace selected in the knitting result display area 902 (as in the example of FIG. 8C when a plurality of types of steel ingots are charged at the same time). Heating conditions) are displayed.

The comprehensive information display area 905 displays, for example, the total heating time, the average filling rate, the total processing amount, and the total fuel cost in the knitting plan. The total heating time is the total usage time of the heating furnace used in the knitting plan. The average filling rate is the average of the filling rate with respect to the total usage time of the entire heating furnace used in the knitting plan. The total processing amount is the total weight or size of the ingots ordered in the knitting plan. The total fuel cost is the total fuel cost (cost) in the formation plan. By outputting the knitting result display screen 901, the person in charge of planning can confirm the batch knitting result and the details of the batch knitting result.

This embodiment describes a hot working line production planning apparatus that has the batch knitting planning apparatus 105 according to the first embodiment as a part of its function and formulates a production plan for the entire hot working line. The hot working system of this embodiment includes a hot working line production planning device instead of the batch knitting planning device 105 of the hot working system of the first embodiment. The batch knitting planning device 105 in the first embodiment has been described as making a batch knitting plan by using each heating furnace once for a certain order information, but in the second embodiment, each heating furnace is repeated. Can make a plan to use. This is possible, for example, by calculating the total temperature condition time of each batch knitting processed in the heating furnace as the load of each heating furnace and allowing the steel ingots to be allocated again to the heating furnace having the minimum load.

FIG. 10 is a block diagram showing a configuration example of a hot working line production planning apparatus. Among the functional units and information included in the hot working line production planning apparatus 1001, those included in the batch knitting planning apparatus 105 are designated by the same reference numerals and the description thereof will be omitted.

The hot working line production planning apparatus 1001 includes a first control unit 1020 and a second control unit 1030. The first control unit 1020 has the same function as the control unit 108 of the batch knitting planning device 105. The second control unit 1030 includes a schedule planning unit 1009 for planning the production of the hot working line. In addition, the hot working line production planning device 1001 includes a planning result output unit 1010 that displays the plan generated by the schedule planning unit 1009 on the output device 603.

The information storage unit 106 included in the hot working line production planning apparatus 1001 further includes an equipment information table 1003, a process information table 1006, and an operation information table 1007. The equipment information table 1003 holds information about each of the devices included in the transfer device group 103 and the forging device group 104 in the hot working line 101.

The process information table 1006 holds information indicating the time required for the forging process and the time required for the incidental work for each steel ingot. The incidental work includes operations such as loading the ingot into the heating furnace, taking out the ingot from the heating furnace, and transferring the ingot to the forging device by the conveying device. The operation information table 1007 holds information indicating the operation of each device included in the hot working line 101. In addition, the order information table 500 of this embodiment includes arrival date / time information and delivery date information of each steel ingot.

The hardware configuration of the hot working line production planning apparatus 1001 is the same as the hardware configuration of the batch knitting planning apparatus 105.

FIG. 11 is a flowchart showing an example of hot working line production planning processing. The schedule planning unit 1009 receives and stores the plan start date and time specified by the planner 701 (S201). The schedule planning unit 1009 reads each batch indicated by the batch organization plan output by the batch organization planning unit 111 in step S111 (S202). Here, the batch refers to a group of steel ingots that are collectively processed. That is, the schedule planning unit 1009 can specify each batch by specifying the steel ingots that are put into each heating furnace at the same time in the batch knitting plan.

The schedule planning unit 1009 calculates the time required for the forging process and incidental work of each batch (S203). Specifically, for example, the schedule planning unit 1009 calculates the time required for the forging process by referring to the process information table 1006 and calculating the total time required for the forging process of the steel ingots contained in the batch. .. Further, the schedule planning unit 1009 calculates the time required for the incidental work by calculating the total time required for the incidental work of the steel ingot included in the batch with reference to the process information table 1006.

Subsequently, the schedule planning unit 1009 calculates the processing start date and time and the processing delivery date of each batch (S204). The processing startable date and time is the date and time when all the steel ingots contained in the batch arrive at the hot working line 101. The processing delivery time is the delivery time until the steel ingot contained in the batch finishes the forging process and is handed over to the next process.

In step S204, specifically, the schedule planning unit 1009 specifies, for example, the latest arrival date and time of the steel ingots included in the batch as the processing startable date and time with reference to the order information table 500. Further, the schedule planning unit 1009 specifies, for example, the earliest date and time as the processing delivery date among the product delivery dates of the steel ingots included in the batch by referring to the order information table 500.

Subsequently, the schedule planning unit 1009 selects the heating furnace that can be operated fastest from the heating furnaces included in the batch knitting plan, and sets the selected heating furnace as the heating furnace X (S205). Specifically, for example, the schedule planning unit 1009 selects the heating furnace having the earliest heating end date and time as the heating furnace X at a certain planning time. When there are a plurality of heating furnaces having the earliest heating end date and time, the schedule planning unit 1009 may select one heating furnace as the heating furnace X from the plurality of heating furnaces according to a predetermined rule. Then, one heating furnace may be randomly selected as the heating furnace X.

The schedule planning unit 1009 selects the batch with the earliest processing delivery date from the batches that can be assigned to the heating furnace X, and sets this as batch A (S206). Specifically, the schedule planning unit 1009 can assign the batch to the heating furnace X if all the steel ingots contained in the batch have arrived at the hot working line 101 at the time when the heating furnace X can be operated. Is determined to be. That is, if the processing start date and time of the batch A is earlier than the time when the heating furnace X can be operated, the batch A can be assigned to the heating furnace X.

The schedule planning unit 1009 temporarily allocates the batch A to the heating furnace X based on the processing of the batch A calculated in step S203 and the time required for each operation (S207). The schedule planning unit 1009 determines whether the forging device can be operated at the date and time of the forging process for the batch A in the provisional allocation (that is, the date and time when each steel ingot contained in the batch A is taken out from the heating furnace X) (S208). .. When the schedule planning unit 1009 determines that the forging device can be operated (S208: YES), the schedule planning unit 1009 determines the allocation of the batch A to the heating furnace X (S209).

When the schedule planning unit 1009 determines that the forging device cannot be operated, that is, the forging process of another batch has already been assigned at the relevant date and time (S208: NO), batch A until the date and time when the forging device becomes operational. It is decided to postpone the start date and time of the forging process of (S212).

Further, the schedule planning unit 1009 decides to postpone the date and time of the heat treatment and incidental work of batch A according to the assigned date and time of the forging process that has been postponed (S213), returns to step S209, and postpones. The allocation of batch A to the heating furnace X is determined by using each process and each work date and time.

Following the process of step S209, the schedule planning unit 1009 determines whether or not the allocation is confirmed for all the batches read in step S202 (S210). When the schedule planning unit 1009 determines that the allocation of all batches has not been finalized (S210: NO), the schedule planning unit 1009 returns to step S205.

When the schedule planning unit 1009 determines that the allocation of all batches has not been confirmed (S210: YES), the planning result output unit 1010 outputs a hot machining line production plan display screen including the confirmed batch allocation to the output device 603. Is displayed (S211), and the process is terminated.

By the above-described processing, the schedule planning unit 1009 can plan the processing date and time for each batch included in the batch knitting plan organized by the batch knitting planning unit 111, and eventually formulates the production plan for the entire hot working line 101. can do.

FIG. 12 is an example of the hot working line production plan display screen output in step S211. The hot working line production plan display screen 1201 includes, for example, a Gantt chart display area 1202 and an in-batch steel ingot display area 1203.

In the Gantt chart display area 1202, for example, the processing date and time of each batch processed in each heating furnace planned by the schedule planning unit 1009 is the heat treatment, the loading / unloading processing into the heating furnace, the transport work, and the like. Display in Gantt chart format color-coded for each incidental work.

Further, in the Gantt chart display area 1202, the scheduled date and time when each steel ingot conveyed from the heating furnace is forged by the forging device is displayed in the Gantt chart format. In the in-batch steel ingot display area 1203, the detailed information confirmation screen of each ingot knitted in the batch is displayed for the specified specific batch.

The present invention is not limited to the above-mentioned examples, and includes various modifications. For example, the above-described embodiment has been described in detail in order to explain the present invention in an easy-to-understand manner, and is not necessarily limited to those having all the described configurations. It is also possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Further, it is possible to add / delete / replace a part of the configuration of each embodiment with another configuration.

Further, each of the above configurations, functions, processing units, processing means and the like may be realized by hardware by designing a part or all of them by, for example, an integrated circuit. Further, each of the above configurations, functions, and the like may be realized by software by the processor interpreting and executing a program that realizes each function. Information such as programs, tables, and files that realize each function can be stored in a memory, a hard disk, a recording device such as an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.

In addition, the control lines and information lines indicate those that are considered necessary for explanation, and do not necessarily indicate all the control lines and information lines in the product. In practice, it can be considered that almost all configurations are interconnected.

105 batch knitting planning device, 106 information storage unit, 108 control unit, 109 heating condition calculation unit, 110 steel ingot charging judgment unit, 111 batch knitting planning unit, 112 fuel cost calculation unit, 113 knitting result display unit, 200 heating furnace Information table, 400 heating condition table, 500 order information table, 601 computer, 602 input device, 603 output device, 606 CPU, 607 memory, 1001 hot working line production planning device, 1006 process information table, 1009 schedule planning unit, 1010 Planning result output unit

Claims (12)

It is a heat treatment planning device
It has a processor and memory,
The memory is
Order information indicating the processing target to which the heat treatment is executed, the required amount of the processing target, and
Temperature condition information indicating temperature conditions that are conditions for temperature transition and temperature maintenance in the heat treatment of each of the treatment targets, and
Holds the heat treatment furnace for executing the heat treatment and the heat treatment furnace information indicating the capacity of the heat treatment furnace.
The processor
A plan generation process for generating a plan in which the processing target indicated by the order information is assigned to the heat treatment furnace indicated by the heat treatment furnace information is executed.
In the plan generation process
When a treatment target different from the first treatment target can be further assigned to the first heat treatment furnace to which the first treatment target is assigned, the required amount indicated by the order information and the capacity indicated by the heat treatment furnace information can be obtained. If judged based on
For each of the different processing targets
With reference to the temperature condition information, a temperature transition having a change amount equal to or less than the change amount of the temperature transition indicated by the temperature conditions of both the different processing target and the first processing target, and the temperature maintenance indicated by both of the temperature conditions. Generates new temperature conditions that indicate temperature maintenance for more than an hour,
Based on both of the temperature conditions and the new temperature condition generated, the loss when both of them are charged into the first heat treatment furnace is calculated.
A heat treatment planning apparatus that allocates the processing target having the smallest calculated loss among the different processing targets to the first heat treatment furnace. The heat treatment planning apparatus according to claim 1.
The memory holds processing target information indicating the size of the processing target, and holds the processing target information.
The processor
A heat treatment planning apparatus that identifies a processing target that can be further assigned to the first heat treatment furnace based on the size indicated by the processing target information and the capacity indicated by the heat treatment furnace information in the planned generation process. The heat treatment planning apparatus according to claim 1.
The heat treatment furnace information indicates the operating cost of the heat treatment furnace per unit time.
The processor
Generate multiple said plans and
For each of the multiple plans
Based on the temperature conditions indicated by the temperature condition information, the usage time of the heat treatment furnace used in the plan was calculated.
Based on the operating cost indicated by the heat treatment furnace information and the calculated usage time, the operating cost in the plan is calculated.
A heat treatment planning device that outputs the plan with the minimum calculated operating cost. The heat treatment planning apparatus according to claim 1.
Has a display device
The processor is a heat treatment planning apparatus that displays the generated plan and the new temperature conditions included in the generated plan on the display device. The heat treatment planning apparatus according to claim 1.
The memory holds process information indicating the forging time required for the forging process and the incidental time required for the incidental work, which are executed before and after the injection into the heat treatment furnace to be processed.
The order information indicates the arrival time and delivery date of the processing target.
The processor
Based on the allocation of the processing target to the heat treatment furnace in the generated plan and the process information, the forging time and incidental time of the batch to be processed at one time in the heat treatment furnace in the generated plan. Is calculated and
Based on the arrival time and delivery date indicated by the order information, the processing startable time and processing delivery date of the batch are calculated in the generated plan.
Based on the temperature condition indicated by the temperature condition information and the new temperature condition, the heat treatment time of each heat treatment furnace in the generated plan is calculated.
A heat treatment planning apparatus that determines the charging order of the batches into a heat treatment furnace based on the calculated processing startable time, the calculated processing delivery time, and the calculated heat treatment time. The heat treatment planning apparatus according to claim 5.
Including display device
The processor is a heat treatment planning device that displays the order of charging the determined batch into the heat treatment furnace on the display device. It is a heat treatment planning method using a heat treatment planning device.
The heat treatment planning device has a processor and a memory,
The memory is
Order information indicating the processing target to which the heat treatment is executed, the required amount of the processing target, and
Temperature condition information indicating the temperature which is the condition of temperature transition and temperature maintenance in the heat treatment of each of the treatment targets, and
Holds the heat treatment furnace for executing the heat treatment and the heat treatment furnace information indicating the capacity of the heat treatment furnace.
The heat treatment planning method is
The processor executes a plan generation process for generating a plan in which the processing target indicated by the order information is assigned to the heat treatment furnace indicated by the heat treatment furnace information.
In the plan generation process
When the processor can further allocate a processing target different from the first processing target to the first heat treatment furnace to which the first processing target is assigned, the required amount indicated by the order information and the heat treatment furnace information indicating the said. If determined based on capacity and
The processor, for each of the different processing targets
With reference to the temperature condition information, a temperature transition having a change amount equal to or less than the change amount of the temperature transition indicated by the temperature conditions of both the different processing target and the first processing target, and the temperature maintenance indicated by both of the temperature conditions. Generates new temperature conditions that indicate temperature maintenance for more than an hour,
Based on both of the temperature conditions and the new temperature condition generated, the loss when both of them are charged into the first heat treatment furnace is calculated.
A heat treatment planning method in which the processor allocates the processing target having the smallest calculated loss among the different processing targets to the first heat treatment furnace. The heat treatment planning method according to claim 7.
The memory holds processing target information indicating the size of the processing target, and holds the processing target information.
In the heat treatment planning method, the processor
A heat treatment planning method for specifying a treatment target that can be further assigned to the first heat treatment furnace based on the size indicated by the treatment target information and the capacity indicated by the heat treatment furnace information in the plan generation process. The heat treatment planning method according to claim 7.
The heat treatment furnace information indicates the operating cost of the heat treatment furnace per unit time.
The heat treatment planning method is
The processor generates the plurality of said plans and
The processor, for each of the plurality of plans
Based on the temperature conditions indicated by the temperature condition information, the usage time of the heat treatment furnace used in the plan was calculated.
Based on the operating cost indicated by the heat treatment furnace information and the calculated usage time, the operating cost in the plan is calculated.
A heat treatment planning method in which the processor outputs a plan with the minimum calculated operating cost. The heat treatment planning method according to claim 7.
The heat treatment planning device has a display device and has a display device.
The heat treatment planning method is a heat treatment planning method in which the processor displays the generated plan and the new temperature conditions included in the generated plan on the display device. The heat treatment planning method according to claim 7.
The memory holds process information indicating the forging time required for the forging process and the incidental time required for the incidental work, which are executed before and after the injection into the heat treatment furnace to be processed.
The order information indicates the arrival time and delivery date of the processing target.
The heat treatment planning method is
Based on the allocation of the processing target to the heat treatment furnace in the generated plan and the process information, the processor forges the batch to be processed, which is charged into the heat treatment furnace at one time in the generated plan. Calculate the time and incidental time,
The processor calculates the processing startable time and the processing delivery date of the batch in the generated plan based on the arrival time and the delivery date indicated by the order information.
The processor calculates the heat treatment time of each heat treatment furnace in the generated plan based on the temperature condition indicated by the temperature condition information and the new temperature condition.
A heat treatment planning method in which the processor determines the charging order of the batch into a heat treatment furnace based on the calculated processing startable time, the calculated processing delivery date, and the calculated heat treatment time. The heat treatment planning method according to claim 11.
The heat treatment planning device includes a display device and includes a display device.
The heat treatment planning method is a heat treatment planning method in which the processor displays the charging order of the determined batches into the heat treatment furnace on the display device.

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