JP2010255092A - Method for deriving operational condition in blast furnace, and apparatus for deriving operational condition in blast furnace using the method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method for deriving an operational condition in a blast furnace in which a layer thickness distribution of a piling layer for charged materials in the blast furnace is made close to the target suitable layer thickness distribution; and an apparatus for deriving the operational condition using the method. <P>SOLUTION: The method is implemented in the following order. A standard operational condition is set as the operational condition containing a parameter for adjusting the layer thickness distribution, and many operational conditions for calculation obtained by changing the parameter included in the standard operational condition from the standard operational condition are prepared, and in the case of changing the operation in the blast furnace from the standard operational condition to each of the prepared operational conditions for calculation, the layer thickness distribution generated in the blast furnace after changing the operational condition is respectively predicted as a predicted layer thickness distribution, and the predicted layer thickness distribution being similar to the target layer thickness distribution is selected from the many predicted layer thickness distributions, and the operational condition for calculation used at the time of predicting the selected predicted layer thickness distribution is selected from among the many operational conditions for calculation. <P>COPYRIGHT: (C)2011,JPO&amp;INPIT

Description

  The present invention relates to a method for deriving operation conditions for obtaining a target layer thickness distribution in a charge accumulation layer at the top of a blast furnace during operation, and a blast furnace operation condition deriving device using this method.

  In order to stabilize the operation of the blast furnace, it is important to maintain the layer thickness distribution of the charge accumulation layer in the blast furnace in an appropriate shape. For this purpose, after understanding the current layer thickness distribution of the charge deposit layer in the blast furnace in operation, predict how this layer thickness distribution will change, and based on this prediction, It is necessary to change the operating conditions so that the thickness distribution is an appropriate layer thickness distribution.

  As a method for predicting the layer thickness distribution of the charge deposit layer in the blast furnace, a method described in Patent Document 1 is known. In this method, the operating conditions and model parameters that best match the simulation results of the layer thickness distribution prediction using these operating conditions are saved from the past operating results data of the blast furnace, and the operating conditions are stored. When examining the change of the system, the operating condition closest to the proposed operating condition is extracted from the stored operating condition, and the simulation is performed using the model parameter corresponding to the extracted operating condition, thereby obtaining accuracy. Predict the layer thickness distribution of high deposit deposits.

Japanese Patent No. 3598824

  In the prediction of the layer thickness distribution, a blast furnace operator or the like creates a plurality of operation condition proposals based on experience and past operation results, and performs simulation based on these operation condition proposals. Predict the layer thickness distribution that occurs when the blast furnace is operated. If the predicted layer thickness distribution is an appropriate shape that realizes the desired blast furnace operation, the blast furnace operation is performed under the operating conditions used for the prediction, so that the layer thickness distribution of the blast furnace is an appropriate shape. Maintained. However, if the predicted layer thickness distribution is not an appropriate shape for realizing the desirable blast furnace operation, the operator or the like must again create a different operation condition plan and perform a simulation based thereon.

  Since the examination of the draft of the operating conditions and the change of the operating conditions by simulation are performed when the operating conditions are actually changed in order to make the blast furnace layer thickness distribution into an appropriate shape, The time cannot be secured for a long time. Therefore, it has been difficult to create a lot of operating condition proposals and perform simulations based on these operating condition proposals to predict a large number of layer thickness distributions. For this reason, it is difficult to reliably obtain a layer thickness distribution having a shape conforming to the appropriate layer thickness distribution from among the predicted layer thickness distributions, and as a result, it is possible to ensure operating conditions for obtaining an appropriate layer thickness distribution. It was difficult to derive.

  In view of the above problems, the present invention is a method for deriving operating conditions of a blast furnace to obtain a distribution close to an appropriate layer thickness distribution targeted for the layer thickness distribution of the charge deposit layer in the blast furnace, and It is an object of the present invention to provide an operating condition derivation device using this method.

  Therefore, in order to solve the above-mentioned problem, the present invention is a method for deriving operating conditions of a blast furnace for making the layer thickness distribution of the charge accumulation layer in the blast furnace close to the target layer thickness distribution, It is obtained by changing the parameters included in the reference operating conditions from the reference operating conditions set in the reference setting process, and the reference operating conditions that are the operating conditions including parameters that can adjust the layer thickness distribution. The operational condition creation step for creating a large number of operational conditions for operation and the operation condition change when the operation of the blast furnace is changed from the reference operational condition to each operational condition created in the operational condition creation step. The target layer thickness distribution and the distribution state are classified from a prediction step of predicting a layer thickness distribution generated in the blast furnace later as a predicted layer thickness distribution, and a number of predicted layer thickness distributions predicted in the prediction step. One or a plurality of predicted layer thickness distributions to be selected are selected, and the calculation operation condition used when at least a part of the selected predicted layer thickness distribution is predicted in the prediction step is set as the selected operation condition. And a selection step. In the present invention, the term “multiple” means a number larger than the number of operating conditions selected in the selection step, and generally means a number of several hundred or more.

  In this way, before changing the operating conditions of the blast furnace from the standard operating conditions, a number of operating conditions for operation are created, and the predicted layer thickness distribution generated in the blast furnace is predicted when the blast furnace is operated under each operating condition. If the layer thickness distribution corresponding to a large number of operating conditions is accumulated in advance, it is preferable to search for a condition in which the layer thickness distribution close to the target layer thickness distribution is predicted. Operating conditions can be obtained. In other words, by predicting and accumulating the layer thickness distribution corresponding to a large number of operating conditions in advance, the layer thickness distribution of the charge accumulation layer in the blast furnace operating under the standard operating conditions is changed to the target layer thickness distribution. The blast furnace operating conditions to be changed from the reference operating conditions in order to obtain a close distribution state (the selected layer thickness distribution) can be obtained with high accuracy in a short time.

  In the blast furnace operating condition derivation method according to the present invention, the selecting step selects a plurality of predicted layer thickness distributions having a distribution state similar to the target layer thickness distribution from the plurality of predicted layer thickness distributions, and selects the selected layer thickness distribution. A first selection step for selecting, as candidate operation conditions, a calculation operation condition used when a plurality of predicted layer thickness distributions are predicted in the prediction step, and a plurality of candidate operations selected in the first selection step It is preferable to include a second selection step of selecting a candidate operation condition having the smallest degree of change in the operation condition from the reference operation condition as the selected operation condition from the conditions.

  By changing the operating condition of the blast furnace from the standard operating condition to the operating condition with the least change degree of the operating condition (selective operating condition), the layer thickness distribution (predicted layer thickness distribution) similar to the target layer thickness distribution is changed in the blast furnace. In addition, the degree of change in the operating conditions can be reduced to reduce the risk of fluctuation of the in-furnace state due to the change in the operating conditions.

  The reference operation condition and the calculation operation condition include a plurality of types of parameters, and the calculation condition creation step changes a specific type of parameter from the plurality of types of parameters included in the reference operation condition. It is preferable that the operation condition for calculation is created by the above.

  According to such a configuration, it is possible to suppress the derivation of an unnecessary predicted layer thickness distribution, and it is possible to efficiently obtain the operation condition to be changed. That is, the operating conditions include multiple types of parameters that can adjust the layer thickness distribution, but also include parameters that do not change their values when the normal operating conditions are changed. By creating the operation condition for calculation without changing the value, it is possible to prevent derivation of the unnecessary predicted layer thickness distribution.

  A database including a large number of predicted layer thickness distributions predicted in the prediction step and a number of distribution / operation condition pairs associated with the operation conditions for calculation used when each predicted layer thickness distribution is predicted in the prediction step. A database construction step that is constructed in advance before the selection step, and in the selection step, each time the target layer thickness distribution is given, from among a large number of distribution / operation condition pairs stored in the database in advance It is preferable to select a distribution / operation condition pair including an expected layer thickness distribution whose distribution state is similar to the target layer thickness distribution.

  In this way, by constructing the database, each time the selected operating conditions are derived, the creation of a large number of operating conditions and the operation of the blast furnace under each operating operating condition are performed. It is not necessary to predict the layer thickness distribution of the deposited charge at That is, by constructing the database in advance, when the target layer thickness distribution is given, the selection operation condition is derived simply by selecting the predicted layer thickness distribution close to the target layer thickness distribution from the database.

  According to the blast furnace operating condition derivation method as described above, the layer thickness distribution corresponding to a large number of operating conditions is predicted and accumulated in advance, so that the charges in the blast furnace operating under the standard operating conditions are stored. In order to make the layer thickness distribution of the deposited layer a distribution state close to the target layer thickness distribution, the operation condition of the blast furnace to be changed from the reference operation condition can be obtained with high accuracy in a short time.

  However, in the operation condition derivation method described above, the selected operation condition selected in the selection step is set as a re-reference operation condition, and a large number of re-calculation operations obtained by changing the parameters included in the re-reference operation condition When the recalculation condition creation step for creating the operation condition and the operation of the blast furnace are changed from the re-reference operation condition to each recalculation operation condition created in the recalculation condition creation step, the operation condition is changed. A re-prediction step for predicting a layer thickness distribution generated in the blast furnace later as a re-predicted layer thickness distribution, and the target layer thickness distribution and distribution state from among a number of re-predicted layer thickness distributions predicted in the re-prediction step For selecting a re-predicted layer thickness distribution of one or a plurality of re-predicted layer thickness distributions, and for recalculation used when the re-predicted layer thickness distribution is predicted in the re-predicting step for at least a part of the selected re-predicted layer thickness distribution. A re-selection process that selects the operating conditions and sets the operating conditions as the re-selecting operating conditions, so that the layer thickness distribution in the blast furnace should be changed from the standard operating conditions in order to obtain a distribution state closer to the target layer thickness distribution. The operating conditions of the blast furnace can be obtained efficiently.

  That is, by creating the recalculation operation condition based on the operation condition selected in the selection process, the layer thickness distribution in a distribution state closer to the target layer thickness distribution than the predicted layer thickness distribution selected in the selection process (Re-predicted layer thickness distribution) can be obtained, and by searching for the operating conditions in which this layer thickness distribution is predicted, the standard operation is performed to bring the layer thickness distribution in the blast furnace closer to the target layer thickness distribution. The operating conditions of the blast furnace to be changed can be obtained from the conditions.

  In the recalculation condition creating step, it is preferable that each parameter included in the re-reference operation condition is changed within a predetermined range determined in advance from the parameter.

  In this way, by limiting the range in which each parameter can be changed, the number of recalculation operating conditions created is less than the number of calculation operating conditions created by changing each parameter without limitation. Therefore, the re-prediction process can be performed in a shorter time than the prediction process.

  In the blast furnace operating condition derivation method, the recalculation condition creation step, the re-prediction step, and the reselection step are sequentially repeated. In the recalculation condition creation step, the reselection selected in the reselection step By creating the recalculation operation condition using the recondition operation condition as the rereference operation condition, the recalculation layer thickness distribution closer to the target layer thickness distribution is created by repeatedly creating the recalculation operation condition based on the reselection operation condition. As a result, the operating condition of the blast furnace to be changed from the standard operating condition in order to make the layer thickness distribution in the blast furnace closer to the target layer thickness distribution can be obtained.

  The reselection step selects a plurality of re-predicted layer thickness distributions having a distribution state similar to the target layer thickness distribution from the plurality of re-predicted layer thickness distributions, and selects the selected plurality of re-predicted layer thickness distributions A first reselection step of selecting the recalculation operation condition used when predicted in the reprediction step as a recandidate operation condition, and a plurality of recandidate operation conditions selected in the first reselection step And a second reselecting step of selecting a re-candidate operation condition with the least degree of change in the operation condition from the re-reference operation condition and setting it as the re-select operation condition.

  Layer thickness distribution similar to the target layer thickness distribution (re-estimated layer thickness distribution) by changing the operating conditions of the blast furnace from the re-standard operating conditions to the operating conditions with the least change in the operating conditions (re-selecting operating conditions) Can be obtained in the blast furnace, and the degree of change in the operating conditions can be reduced to reduce the risk of fluctuation of the in-furnace state due to the change in operating conditions.

  Further, in order to solve the above problems, the present invention is an apparatus for deriving the operating conditions of the blast furnace for making the layer thickness distribution of the charge accumulation layer in the blast furnace close to the target layer thickness distribution, By setting a reference operation condition, which is an operation condition including a parameter capable of adjusting the layer thickness distribution, a number of operation conditions for calculation obtained by changing a parameter included in the set reference operation condition are set. A calculation condition creating means for creating and storing, and when the operation of the blast furnace is changed from the reference operation condition to each calculation operation condition created by the calculation condition creating means, A prediction means for predicting and storing a layer thickness distribution generated in each as a predicted layer thickness distribution, and one or more of the predicted layer thickness distributions predicted by the prediction means and having a distribution state similar to the target layer thickness distribution. Selecting the predicted layer thickness distribution, and selecting the operation condition for calculation used when the selected predicted layer thickness distribution is predicted by the prediction unit as a selection operation condition, and the selected operation condition selected by the selection unit Output means for outputting to the outside.

  In this way, before changing the operating conditions of the blast furnace from the standard operating conditions, a number of operating conditions for operation are created, and the predicted layer thickness distribution generated in the blast furnace is predicted when the blast furnace is operated under each operating condition. If the layer thickness distribution corresponding to a large number of operating conditions is accumulated in advance, it is preferable to search for a condition in which the layer thickness distribution close to the target layer thickness distribution is predicted. Operating conditions can be obtained. In other words, by predicting and accumulating the layer thickness distribution corresponding to a large number of operating conditions in advance, the layer thickness distribution of the charge accumulation layer in the blast furnace operating under the standard operating conditions can be changed to the target layer thickness distribution. The operating conditions of the blast furnace to be changed from the reference operating conditions in order to obtain a distribution state close to (the selected layer thickness distribution) can be obtained with high accuracy in a short time.

  In addition, since the operation condition for calculation selected by the selection means is output by the output means, it becomes possible for a blast furnace operator or the like to obtain the target operation condition quickly and accurately.

  In the blast furnace operation condition deriving device according to the present invention, the prediction means changes the operation condition when the operation of the blast furnace is changed from the reference operation condition to each operation condition created by the calculation condition preparation means. The prediction unit that predicts the layer thickness distribution generated in the blast furnace after the change as the predicted layer thickness distribution, the predicted layer thickness distribution predicted by the prediction unit, and each predicted layer thickness distribution was predicted by the prediction unit. A database unit that associates the operation conditions used for calculation with each other and stores them as a distribution / operation condition pair, and the selection means is provided with the layer thickness distribution from the database unit to provide the target layer thickness distribution. It is preferable to select a distribution / operation condition pair including an expected layer thickness distribution having a similar distribution state.

  According to such a configuration, a large number of distribution / operating condition pairs are stored in the database unit, so that each time a selected operating condition is derived, a large number of operating conditions for operation are created and a blast furnace is used for each operating condition. Therefore, it is not necessary to predict the layer thickness distribution of the deposited charge in the blast furnace when the operation is performed. That is, by storing a large number of distribution / operation condition pairs in the database unit in advance, when the target layer thickness distribution is given, just select the predicted layer thickness distribution close to the target layer thickness distribution from the database. Selected operating conditions are derived.

  The output means preferably outputs the predicted layer thickness distribution corresponding to the selected operation condition together with the selected operation condition selected by the selection means.

  According to such a configuration, it is possible to quickly and accurately acquire the layer thickness distribution after the change of the operation condition together with the operation condition to be changed by the operator of the blast furnace.

  Further, the predicting means predicts the predicted layer top surface shape of the charge deposit layer having the predicted layer thickness distribution together with the predicted layer thickness distribution generated in the blast furnace after the change of the operating condition, and the output means is configured to select the selection means. More preferably, the selected operation condition selected by the means, the predicted layer thickness distribution corresponding to the selected operation condition, and the predicted layer upper surface shape corresponding to the predicted layer thickness distribution are output.

  According to such a configuration, in addition to the operating conditions to be changed and the layer thickness distribution after changing the operating conditions, the layer top surface shape after changing the operating conditions (so-called surface profile), which is one of the important indicators in stable operation of the blast furnace, A blast furnace operator or the like can obtain the information quickly and accurately.

  Ranking means for ranking the plurality of selected operation conditions selected by the selection means in order of decreasing degree of change of the operation conditions from the reference operation condition, and the output means is the selection means It is preferable to output each selected operation condition in a state in which the ranking is given by the ranking means.

  According to such a configuration, a plurality of candidate operating conditions after changing from the standard operating conditions of the blast furnace are output, and an operator or the like can adopt the operating conditions from among these. That is, a plurality of operation condition candidates from which a layer thickness distribution close to the target layer thickness distribution can be obtained by the apparatus is presented, and the operation condition after change is based on the output information or the like by a blast furnace operator or the like. Final decision.

  According to the blast furnace operating condition deriving device as described above, the layer thickness distribution corresponding to a large number of operating conditions is predicted and accumulated in advance, so that the charges in the blast furnace operating under the standard operating conditions are stored. In order to make the layer thickness distribution of the deposited layer a distribution state close to the target layer thickness distribution, the operation condition of the blast furnace to be changed from the reference operation condition can be obtained with high accuracy in a short time.

  However, in the above operating condition deriving device, the selected operating condition is used as the re-standard operating condition, and a large number of re-calculating operating conditions obtained by changing parameters included in the re-standard operating condition are created and stored. When the recalculation condition creation means and the operation of the blast furnace are changed from the re-reference operation condition to each recalculation operation condition created by the recalculation creation means, it occurs in the blast furnace after the change of the operation condition. Re-prediction means for predicting and storing each layer thickness distribution as a re-predicted layer thickness distribution, and the target layer thickness distribution is similar to the target layer thickness distribution among a number of re-predicted layer thickness distributions predicted by the re-prediction means 1 Or a plurality of re-predicted layer thickness distributions, and a reselecting unit that uses the recalculation conditions used when the selected re-predicted layer thickness distributions are predicted by the re-predicting unit as reselection operation conditions, and Said When the reselection operation condition is selected by the reselection means, the force means outputs the reselection operation condition to the outside, thereby further changing the layer thickness distribution in the blast furnace to the target layer thickness distribution. The operating conditions of the blast furnace to be changed from the standard operating conditions in order to obtain a close distribution state can be obtained in a short time.

  That is, in the recondition creation means, a distribution closer to the target layer thickness distribution than the predicted layer thickness distribution selected by the selection means by creating the recalculation operation conditions based on the operation conditions selected by the selection means Layer thickness distribution (re-predicted layer thickness distribution) can be obtained, and the layer thickness distribution in the blast furnace is made closer to the target layer thickness distribution by searching the operating conditions for which this layer thickness distribution is predicted. Therefore, the operating conditions of the blast furnace to be changed from the standard operating conditions can be obtained.

  In the recalculation condition creating means, each parameter included in the reference operation condition is preferably changed within a predetermined range determined in advance from the parameter.

  In this way, by limiting the range in which each parameter can be changed, the number of recalculation operating conditions created is less than the number of calculation operating conditions created by changing each parameter without limitation. Therefore, the predicted time of the re-predicted layer thickness distribution in the re-predicting unit is shorter than the predicted time of the predicted layer thickness distribution in the predicting unit.

  Re-ranking means that ranks a plurality of re-selection operation conditions selected by the re-selection means in order of decreasing degree of change of the operation condition from the re-reference operation condition, and the output means It is preferable that each reselection operation condition selected by the reselecting means is output in a state where the order is given by the reordering means.

  According to such a configuration, a plurality of candidate operation conditions after changing from the blast furnace re-reference operation conditions are output, and an operator or the like can adopt the operation conditions from among them. That is, a plurality of operation condition candidates from which a layer thickness distribution close to the target layer thickness distribution can be obtained by the apparatus is presented, and the operation condition after change is based on the output information or the like by a blast furnace operator or the like. Final decision.

  As described above, according to the present invention, the method for predicting the operating conditions of the blast furnace for making the distribution of the deposit thickness in the blast furnace close to the target appropriate layer thickness distribution, and this method, The operating condition prediction apparatus used can be provided.

It is a block diagram of the operation condition derivation device of a blast furnace concerning a 1st embodiment. It is a figure which shows the flow of operation | movement in the operating condition derivation | leading-out apparatus of the said blast furnace. It is a figure which shows an example of the standard operation conditions input into the operation condition derivation | leading-out apparatus of the said blast furnace. It is a graph using the layer thickness ratio displayed when setting target layer thickness distribution in the operating condition derivation device of the blast furnace. (A) And (b) is a figure which shows the operation condition and reference | standard operation condition with a small error value derived | led-out with the operation condition derivation | leading-out apparatus of the said blast furnace. It is the figure which showed the layer thickness ratio distribution obtained when operating a blast furnace on the operation conditions with a small said error value. It is the figure which showed the profile of the burden deposit layer obtained when operating a blast furnace on the operation conditions with the said small error value. It is a block diagram of the operation condition derivation | leading-out apparatus of the blast furnace which concerns on 2nd Embodiment. It is a figure which shows the first half flow of operation | movement in the operating condition derivation | leading-out apparatus of the said blast furnace. It is a figure which shows the flow of the latter half of the operation | movement in the operating condition derivation | leading-out apparatus of the said blast furnace. It is a figure which shows the process of deriving re-selection operation conditions by repeating the process of deriving operation conditions in the operation condition derivation device of the blast furnace. It is a figure which shows the surface profile corresponding to a re-reference operation condition, and the surface profile corresponding to a re-selection operation condition in the operation condition derivation device of the blast furnace. In the operation condition deriving device of the blast furnace, an example of the reference operation condition input to the operation condition deriving device when performing operation for creating the operation condition for calculation by limiting the parameter change range by the condition creating means is shown. FIG. It is a figure which shows the process of deriving reselection operation conditions by repeating the operation conditions at the time of performing the said driving | operation. It is a figure which shows the surface profile corresponding to the reference | standard operation conditions when performing the said driving | operation, and the surface profile corresponding to re-selection operation conditions.

  Hereinafter, a first embodiment of the present invention will be described with reference to the accompanying drawings.

  The blast furnace operating condition deriving device (hereinafter also simply referred to as “deriving device”) has a distribution close to the target layer thickness distribution (target layer thickness distribution). Therefore, the operating conditions of the blast furnace are derived. Specifically, as shown in FIG. 1, the deriving device 10 includes a device main body 20, input means 12 for inputting data (information) to the device main body 20, and data (information) from the device main body 20. Output means 14 for outputting to the outside. The apparatus body 20 derives and outputs a blast furnace operating condition based on the input data, and includes a condition creating means (calculation condition creating means) 22, a predicting means (predicting unit) 24, a selecting means 26, And a database 28.

  The input unit 12 can input a plurality of types of data to the apparatus main body 20. Specifically, the input unit 12 includes a keyboard and is connected to the condition creating unit 22 and the selection unit 26. Therefore, the input means 12 can input the current blast furnace operating conditions (reference operating conditions) to the condition creating means 22 and also input the target layer thickness distribution (target layer thickness distribution) to the selecting means 26. be able to. The input unit 12 of the present embodiment is configured by a keyboard, but may be another input unit such as a touch panel. Further, the derivation device 10 may not be provided with the input means 12 and may be configured such that information is directly input to the device main body 20 from a computer or the like used for blast furnace control or the like. In addition, a common input unit 12 is connected to the condition creating unit 22 and the selection unit 26, and it is not necessary to input data through the common input unit 12. That is, the individual input means 12 may be connected to the condition creating means 22 and the selection means 26, and data may be input from each input means 12.

  The operating conditions include parameters that can adjust the layer thickness distribution of the charge deposit in the blast furnace. The operating conditions of this embodiment include the amount of coke charged into the blast furnace (input amount), the amount of ore charged into the blast furnace (input amount), and the tilt point of the distribution chute (swivel chute) (hereinafter simply referred to as “tilt”). Also referred to as “point”), sounding level and the like are included as parameters. In this embodiment, since the blast furnace is a bell-less blast furnace, the tilt point is included as one of the parameters of the operating conditions. However, in the case of the bell armor blast furnace, the extrusion amount (notch of the armature) is used instead of the tilt point. ) Is included.

  The condition creating means 22 creates a large number of operation conditions (operation conditions for calculation) obtained by changing parameters included in the reference operation conditions. Specifically, the condition creation means 22 creates a large number of calculation operation conditions from the reference operation conditions input by the input means 12, and outputs the created many calculation operation conditions to the database 28 as an output signal. More specifically, the condition creating means 22 creates a calculation operation means obtained by changing a specific type of parameter from among a plurality of types of parameters included in the reference operation condition. In the present embodiment, only the tilt point is changed as a specific type of parameter. In other words, the condition creating means 22 changes the tilting point only from the reference operating condition while keeping the coke charging amount, the ore charging amount, the sounding level, etc. among the parameters of the reference operating condition. Create operational conditions for computation. The tilt point is changed at random. The condition creating means 22 also outputs the reference operation condition input by the input means 12 to the database 28 as an output signal. In addition, the parameter changed in the condition preparation means 22 is not limited. For example, in this embodiment, only the tilt point is changed, but other parameters such as the sounding level may be changed independently, or a plurality of types of parameters may be changed simultaneously.

  When the operation of the blast furnace is changed from the standard operation condition to the operation condition for each operation created by the condition preparation means 22, the prediction means 24 predicts the layer thickness distribution generated in the blast furnace after the change of the operation condition. Are respectively predicted (calculated). Further, the predicting means 24 predicts (calculates) the shape of the upper surface of the deposit layer having the predicted layer thickness distribution (predicted layer upper surface shape) together with the predicted layer thickness distribution after the change of the operation condition.

  Specifically, the predicting unit 24 acquires the reference operation conditions and the operation conditions for each calculation stored in the database 28 from the database 28, and the operation conditions are determined based on the reference operation conditions and the operation conditions for each operation. A change in the state of the blast furnace (for example, the state of the charge accumulation layer) accompanying the change is calculated, and the calculation result is output to the database 28 as an output signal. More specifically, the predicting means 24 is configured to determine the layer thickness distribution (predicted layer thickness distribution) of the charge deposit layer generated in the blast furnace after the change of the operation condition based on the reference operation condition and each operation condition for operation, and the shape of the layer upper surface. (Predicted layer top surface shape) and the like are predicted, and these calculation results are accumulated (output) in the database 28. Note that the prediction means 24 of the present embodiment calculates the state in the blast furnace after the change of the operating conditions by calculation, and predicts the predicted layer thickness distribution and the predicted layer upper surface shape based on the calculated results. In addition, it may be configured to calculate (predict) a gas flow velocity distribution, a particle size distribution, a void ratio distribution, and the like.

  The predicting means 24 also predicts the layer thickness distribution (reference layer thickness distribution) generated in the blast furnace when the blast furnace is continuously operated under the standard operating conditions. This reference layer thickness distribution is output to the outside by the output means 14 so that a blast furnace operator or the like can serve as a guide when setting the target layer thickness distribution.

  The selection means 26 selects a predetermined calculation operation condition from among a large number of calculation operation conditions created by the condition creation means 22 and sets it as the selection operation condition. Specifically, the selection unit 26 includes a first process unit 26a and a second process unit (ranking unit) 26b. The first process unit 26a selects and selects a plurality of predicted layer thickness distributions whose distribution states are similar to the target layer thickness distribution input by the input means 12 from among a number of predicted layer thickness distributions stored in the database 28. In the parts to be selected and obtained from the large number of calculation operation conditions stored in the database 28 as the calculation operation conditions used when the prediction means 24 predicts a plurality of predicted layer thickness distributions. is there. The 2nd process part 26b is a site | part which selects the candidate operation condition with the least change degree of the operation condition from a reference | standard operation condition from the some candidate operation conditions selected by the 1st process part 26a. Specifically, the second process unit 2b ranks the plurality of candidate operation conditions selected in the first process unit 26a in order of decreasing degree of change, and among them, the candidate operation condition with the least change degree is selected. Select as the selected operating condition. The plurality of candidate operation conditions (including selected operation conditions) ranked in relation to the degree of change in the operation condition from the reference operation condition are output to the output unit 14 as output signals by the second process unit 26b. .

  The database 28 stores data in and out freely, and is connected to the condition creation means 22, the prediction means 24, and the selection means 26. The database 28 stores each operation condition, predicted layer thickness distribution, and the like by receiving output signals output from the means 22, 24, and 26. Various data stored in this way are transmitted to each means 22, 24, 26 as an output signal in response to a request from each connected means 22, 24, 26. In the present embodiment, the condition creation means 22, the prediction means 24, and the selection means 26 store data in the common database 28, but the present invention is not limited to this. That is, an individual database 28 may be connected to each means 22, 24, 26.

  The output unit 14 outputs data from the apparatus main body 20 to the outside. The output unit 14 outputs the candidate operation condition and the selected operation condition selected by the selection unit 26, the predicted layer thickness distribution corresponding to these operation conditions, the predicted layer upper surface shape corresponding to the predicted layer thickness distribution, and the like. In the present embodiment, a CRT display is used as the output means 14. However, the present invention is not limited to this, and other display means such as an FPD or printing means may be used. A combination of these may also be used.

  The deriving device 10 according to the present embodiment has the above-described configuration. Next, the operation of the deriving device 10 will be described with reference to FIGS.

  The current operating conditions (reference operating conditions) of the blast furnace are input to the condition creating means 22 by the input means 12 (step S1). As described above, the standard operating conditions include, as parameters, coke charge, ore charge, tilt point, sounding level, and the like. Among the parameters of the standard operating conditions, the tilting points whose values are changed in the present embodiment are specifically shown in FIG. Here, the tilt point represents the tilt angle of the bowl-shaped swivel chute for charging the charge into the blast furnace while turning, and the tilt angle of the swivel chute specified in advance is expressed as a unique number. Is. In the blast furnace of this embodiment, the tilt point is set from 1 point to 20 points. At 20 points, the turning chute is close to vertical, and as the point becomes smaller, the turning chute approaches horizontal, and at 1 point, it is closest to horizontal. In addition, the coke tilt point in FIG. 3 is the tilt point of the turning chute at the time of charging the coke in each turn, and the ore tilting point is the tilt point of the turning chute at the time of charging the ore in each turn. It is.

  When the reference operation condition is input to the condition creating means 22, if the previous data remains in the database 28, this data is erased. If not, the process proceeds to the next step as it is (step S2). .

  The condition creating means 22 creates a large number of operation conditions for calculation from the reference operation conditions (step S3). Specifically, the condition creation means 22 creates the operation condition for calculation by changing only the tilt point among the parameters of the basic operation condition input from the input means 12. At this time, in the condition creation means 22, the tilt points of the basic operation conditions are set at random, and are arranged in ascending order of chute (for example, see cases 1 to 5 in FIGS. 5A and 5B). ). Thus, the operation condition for calculation created by the condition creating means 22 is sequentially transmitted to the database 28 as an output signal.

  When the operation conditions for calculation are stored in the database 28, the prediction means 24 sequentially extracts the predicted layer thickness distribution from the operation conditions for calculation in the prediction means 24. That is, the calculation operation conditions are used. The predicted layer thickness distribution is predicted by the simulation performed (step S4). At this time, the predicting means 24 of the present embodiment predicts the shape of the upper surface of the deposit layer having the predicted layer thickness distribution (predicted layer upper surface shape) together with the predicted layer thickness distribution. The predicted predicted layer thickness distribution and the predicted upper layer shape corresponding to the predicted layer thickness distribution are sequentially transmitted to the database 28 and accumulated in a state of being associated with each other. Further, the operation conditions for calculation used when the predicted layer thickness distribution is predicted are also associated with the predicted layer thickness distribution and the predicted layer upper surface shape, and are stored in the database 28 together with the predicted layer thickness distribution and the predicted layer upper surface shape. . Steps S3 and S4 are repeated until a predetermined number (eg hundreds of thousands) of predicted layer thickness distributions and predicted layer upper surface shapes are accumulated in the database 28 (step S5).

  In parallel with step S3 to step S5, the prediction means 24 predicts (simulates) the layer thickness distribution (reference layer thickness distribution) generated in the blast furnace when the reference operation conditions are continued (step S3a). This reference layer thickness distribution is displayed (output) by the output means 14 (see square marks in FIG. 4). Based on this display, a layer thickness distribution (target layer thickness distribution) targeted by the operator or the like is set (step S4a). Specifically, when the operation of the blast furnace is continued under the standard operating conditions, the prediction means 24 predicts that the ore layer near the furnace wall becomes thicker and the air permeability near the furnace wall becomes worse as shown in FIG. It was done. Therefore, an operator or the like determines a target layer thickness distribution based on this display (see the circle in the graph of FIG. 4), and inputs it from the input means 12 to the selection means 26. In this embodiment, the layer thickness distribution considered to be desirable when the furnace radius is in the range of 1 m to 3.9 m is specified, but the specification is made since the furnace radius 0 m to 1 m is the same as the reference layer thickness distribution. Omitted.

  When a predetermined number of predicted layer thickness distributions and predicted layer upper surface shapes are accumulated in the database 28 and the target layer thickness distribution is set, the selection means 26 is selected from a large number of predicted layer thickness distributions accumulated in the database 28. The operating conditions of the blast furnace to be changed are selected by (Step S6 to Step S8).

  Specifically, first, the first process unit 26a of the selection unit 26 selects only the predicted layer thickness distribution within a certain range from the multiple predicted layer thickness distributions stored in the database 28 compared to the target layer thickness distribution. Pull out. Specifically, the first process unit 26a displays the target layer thickness distribution and the predicted layer thickness distribution to be compared with the target layer thickness distribution in the graph of FIG. 4 (the ore layer with respect to the combined layer thickness (LO + LC) of the ore layer and the coke layer). (LO) (layer thickness ratio graph), and the predicted layer thickness that falls within a certain range above and below the target layer thickness distribution graph (for example, within a range of 10% above and below, respectively) A distribution is acquired (step S6).

  In this way, after narrowing down the number of predicted layer thickness distributions, the respective predicted layer thickness distributions within the obtained fixed range are compared with the target layer thickness distribution, and the error value E is calculated. This error value E is a value that serves as an index of the degree of similarity of the shapes when both layer thickness distributions are graphed using the layer thickness ratio. Specifically, it is a value calculated by the following equation (1).

  When the error values E for all the predicted layer thickness distributions within the predetermined range are calculated in this way, the first process unit 26a compares the calculated error values E and calculates the five error values in ascending order. E is selected, and the predicted layer thickness distribution used when calculating these error values E is derived respectively. Then, the first process unit 26a corresponds to each of the derived predicted layer thickness distributions, that is, the operation condition for calculation used when each predicted layer thickness distribution is predicted by the prediction unit 24 from the database 28 as candidates. Obtained as operating conditions (step S7). Specifically, candidate operation conditions such as cases 1 to 5 shown in FIGS. 5A and 5B were obtained.

  Next, the five candidate operating conditions obtained in the first process section 26a are ranked in the second process section 26b in the order of decreasing degree of change of the operating conditions from the reference operating conditions, and the change from the reference operating conditions is performed. The candidate operation condition with the least degree is selected by the second process unit as the selected operation condition (step S8). Specifically, the candidate operation condition that minimizes the value D of the following equation (2) is selected by the second process unit 26b. 5A and 5B, the value D is the smallest in the candidate operation condition of case 5.

  Various data selected or calculated as described above are displayed by the output means 14 (step S9). Specifically, five candidate operation conditions (including selected operation conditions) and standard operation conditions with small error value E shown in FIGS. 5A and 5B, and the five candidate operation conditions shown in FIG. The predicted layer thickness distribution corresponding to the above is graphed using the layer thickness ratio, the predicted layer upper surface shape (profile) corresponding to the five candidate operation conditions shown in FIG. 7, and the five candidate operation conditions. Each error value E and each value D are displayed. The selected operation condition with the smallest value D selected by the second process section is marked with a mark or the like so that operators can easily understand it.

  Based on the results displayed on the output means 14, the operator or the like selects the selected operating condition having the smallest value D, and changes the operating condition of the blast furnace from the current reference operating condition to the selected operating condition. As a result, the charge accumulation layer in the blast furnace has a predicted thickness distribution corresponding to the selected operating condition, and also has a predicted layer upper surface shape corresponding to this predicted layer thickness distribution.

  According to the derivation device 10 as described above, a large number of operation conditions are created before the operation conditions of the blast furnace are changed from the reference operation conditions, and the blast furnace is operated in the operation conditions for each operation. If the predicted predicted layer thickness distribution is predicted and the predicted results, i.e., the layer thickness distribution corresponding to a large number of operating conditions, are stored in advance, the layer thickness distribution close to the target layer thickness distribution can be predicted. By searching the conditions, suitable operating conditions can be obtained. In other words, by predicting and accumulating the layer thickness distribution corresponding to a large number of operating conditions in advance, the layer thickness distribution of the charge accumulation layer in the blast furnace operating under the standard operating conditions is changed to the target layer thickness distribution. The blast furnace operating conditions to be changed from the reference operating conditions in order to obtain a close distribution state (the selected layer thickness distribution) can be obtained with high accuracy in a short time.

  A layer thickness distribution (predicted layer) similar to the target layer thickness distribution is selected by selecting one having a small error value E from the candidate operation conditions corresponding to the plurality of predicted layer thickness distributions selected by the first process unit 26a. Thickness distribution) is obtained in the blast furnace.

  Furthermore, by selecting the selected operating condition having the smallest value D in the second process section 26b from the above-mentioned plurality of conditions, the operating condition of the blast furnace is changed from the standard operating condition to the selected operating condition, thereby allowing the reference operation. It is also possible to reduce the risk of fluctuation of the in-furnace state that occurs in the transition period of the layer thickness distribution change in the blast furnace from the layer thickness distribution during operation under the condition to the predicted layer thickness distribution after changing the operation condition.

  Suppressing the derivation of unnecessary predicted layer thickness distributions by creating operational conditions for operation by changing specific parameters (tilting points in this embodiment) from multiple types of parameters included in the standard operating conditions The operating conditions to be changed can be obtained efficiently. That is, the operating conditions include multiple types of parameters that can adjust the layer thickness distribution, but also include parameters that do not change their values when the normal operating conditions are changed. By creating the operation condition for calculation without changing the value, it is possible to prevent derivation of the unnecessary predicted layer thickness distribution.

  By outputting the candidate operation condition and the selected operation condition selected by the selection means 26 by the output means 14, it becomes possible for the operator of the blast furnace and the like to obtain the target operation conditions quickly and accurately. That is, a plurality of candidate operation conditions (including selected operation conditions) selected by the selection unit 26, a predicted layer thickness distribution corresponding to each of these operation conditions, and a predicted layer upper surface shape corresponding to the predicted layer thickness distribution are output unit 14. By displaying (outputting), it becomes easy for an operator or the like to select the changed operating condition in consideration of factors other than the layer thickness distribution. In addition, in the present embodiment, since the output means 14 is a CRT display, the operator or the like can visually grasp the information displayed on the output means 14, thereby acquiring the desired operating conditions quickly and accurately. .

  The database 28 stores information in which a large number of operation conditions for operation and the predicted layer thickness distribution corresponding to each operation condition for operation are stored. It is not necessary to predict the layer thickness distribution of the deposited charge in the blast furnace when the operation conditions are created and the blast furnace is operated under each operation condition. That is, when the target layer thickness distribution is given by storing information that associates a number of operation conditions for calculation with the predicted layer thickness distribution corresponding to each operation condition in advance, the database 28 It is possible to obtain the operating conditions of the blast furnace to be changed from the selected operating conditions simply by selecting the predicted layer thickness distribution close to the target layer thickness distribution from among the above.

  Next, a second embodiment of the present invention will be described with reference to FIG. 8. The same reference numerals are used for the same components as those in the first embodiment, and a detailed description thereof will be omitted. Only different components will be described in detail. explain.

  The derivation device 110 according to the present embodiment is more efficient in operating conditions of the blast furnace for making the distribution of the deposit thickness in the blast furnace in the blast furnace closer to the target layer thickness distribution with higher accuracy than in the first embodiment. Can be derived well. In other words, the deriving device 110 creates a large number of operating conditions by changing each parameter included in the operating conditions based on the operating conditions selected by the selecting means 26, so that the prediction layer selected by the selecting means 26 is selected. It is possible to obtain a layer thickness distribution closer to the target layer thickness distribution than the thickness distribution, and by searching the operating conditions for which this layer thickness distribution is predicted, the layer thickness distribution in the blast furnace is It is possible to obtain blast furnace operation conditions (reselection operation conditions) to be changed from the standard operation conditions in order to obtain a close distribution state.

  Specifically, the derivation device 110 includes an input unit 12, an apparatus main body 30, and an output unit 14. The apparatus main body 30 includes a search unit 30a and a search unit 30b. The search unit 30a is configured in the same manner as the apparatus main body 20 of the first embodiment, and includes a condition creation unit 22, a prediction unit 24, a selection unit 26, and a database 28. The selection unit 26 includes the first process unit 26a, 2nd process part 26b.

  The search unit 30 b includes a recondition creation unit (recalculation condition creation unit) 32, a re-prediction unit 34, a reselection unit 36, and a database 28. To this database 28, recondition creating means 32, repredicting means 34, and reselecting means 36 are connected. In the present embodiment, the database of the search unit 30a and the database of the search unit 30b are configured by a common database 28. However, the search unit 30a and the search unit 30b may have separate databases. Further, the recondition creating means 32, the repredicting means 34, and the reselecting means 36 may have separate databases. The database 28 of this embodiment also serves as a storage unit (storage means) for other components in the apparatus main body 30.

  The recondition creation means 32 uses the selected operation condition selected by the selection means 26 (specifically, the second process unit 26b) as a re-reference operation condition, and a number of recalculation operation conditions based on the re-reference operation condition. Is to create. Specifically, the recondition creation unit 32 creates a recalculation operation condition by changing a parameter included in the rereference operation condition (selection operation condition) received from the second process unit 26b of the selection unit 26. That is, the recondition creating means 32 is based on the operation condition once derived as the operation condition for obtaining the layer thickness distribution close to the target layer thickness distribution, and further changes the parameters included in the operation condition to change a number of reconditioning conditions. By creating the operation conditions for operation, the operation conditions that cause a layer thickness distribution closer to the target layer thickness distribution in the blast furnace than the layer thickness distribution corresponding to the derived operation conditions (operation conditions for recalculation) Makes it possible to get

  The recondition creating means 32 creates a recalculation operation condition from the rereference operation condition by changing each parameter included in the rereference operation condition within a predetermined range determined in advance from the parameter. By changing the parameters within a predetermined range, the recondition creation means 32 efficiently creates a recalculation operation condition that generates a layer thickness distribution close to the layer thickness distribution corresponding to the reference operation condition in the blast furnace. Is done. In addition, since the parameter change range is limited in this way, even if the blast furnace operation condition is changed to the created recalculation operation condition, the change in the surface profile before and after the change is reduced.

  In addition, the recondition creating means 32 repeatedly creates an operation condition for recalculation from the rereference operation condition in the derivation device 110 and repeatedly selects the reselection operation condition from the recalculation operation condition. When it is performed, the re-selection operation condition selected by the re-selection means 36 is acquired, and the re-calculation operation condition is created using this as the re-reference operation condition. Thereby, in the said derivation | leading-out apparatus 110, it becomes possible to repeat the process of deriving re-selection operation conditions from re-reference operation conditions. The recondition creating means 32 creates an operating condition that causes a layer thickness distribution closer to the target layer thickness distribution in the blast furnace each time the process is repeated.

  The recondition creating unit 32 changes a specific type of parameter from among a plurality of types of parameters included in the rereference operation condition, similarly to the condition creating unit 22 of the derivation device 10 and the search unit 30a of the first embodiment. The re-calculation operation condition is created. Therefore, also in the recondition creating means 32, it is possible to suppress the prediction of unnecessary layer thickness distribution, and the operation condition to be changed can be obtained efficiently. That is, the operating conditions include multiple types of parameters that can adjust the layer thickness distribution, but also include parameters that do not change their values when the normal operating conditions are changed. By creating operation conditions for recalculation without changing the value, it is possible to prevent unnecessary prediction of the layer thickness distribution.

  In the recondition creation means 32 of the present embodiment, only the tilt point is changed as a specific type of parameter, and the change range is set within 3 points. In the recondition creating unit 32, the parameters to be changed are not limited as in the derivation device 10 of the first embodiment and the condition creating unit 22 of the search unit 30a.

  The recondition creating means 32 outputs the recalculation operation condition created in this way to the database 28 as an output signal.

  When the re-prediction means 34 changes the operation of the blast furnace from the re-standard operation condition to the re-calculation operation condition created by the re-condition creation means 32, the layer thickness distribution generated in the blast furnace after the change of the operation condition is calculated. Each is predicted (calculated) as a re-predicted layer thickness distribution. In the re-prediction unit 34, in order to predict the re-predicted layer thickness distribution corresponding to each recalculation operation condition created in the re-condition creating unit 32, a large number of re-predicted layer thickness distributions are predicted. Once the re-standard operation condition derived from the re-standard operation condition derived as the operation condition for generating a layer thickness distribution close to the target layer thickness distribution in the blast furnace is changed, the parameters included in the re-standard operation condition are changed and recalculated. In the re-predicted layer thickness distribution predicted by the re-prediction means 34, a distribution state closer to the target layer thickness distribution than the layer thickness distribution corresponding to the re-reference operation condition is created. Includes layer thickness distribution.

  The re-prediction means 34 also predicts the shape of the top surface of the deposit layer having the re-predicted layer thickness distribution (re-predicted layer top surface shape) together with the re-predicted layer thickness distribution after the change of the operating conditions. Similar to the prediction unit 24, the re-prediction unit 34 predicts (calculates) a gas flow velocity distribution, a particle size distribution, a void ratio distribution, and the like in addition to the re-prediction layer thickness distribution and the re-prediction layer upper surface shape. It may be configured.

  The reselection means 36 selects a predetermined recalculation operation condition from among a large number of recalculation operation conditions created by the recondition creation means 32 and sets it as the reselection operation condition. Specifically, the reselection unit 36 selects a re-predicted layer thickness distribution having the closest distribution state to the target layer thickness distribution from the database 28, and acquires re-calculation operation conditions corresponding to the re-predicted layer thickness distribution. Re-select operating conditions. The reselection operation condition selected in this way is output to the output means 14 or the recondition creation means 32 by the reselection means 36.

  Note that the reselecting unit 36 may include a portion corresponding to the first process unit 26a and the second process unit 26b, similarly to the selection unit 26 of the search unit 30a. That is, the reselection means 36 selects a plurality of re-predicted layer thickness distributions whose distribution states are similar to the target layer thickness distribution from among a large number of re-predicted layer thickness distributions, and re-selects the selected re-predicted layer thickness distributions. The operation condition for the re-calculation operation condition is selected from the re-candidate operation conditions selected from the part selected as the re-candidate operation condition and the re-calculation operation condition used when predicted by the prediction means. A configuration may be included that includes selecting a re-candidate operation condition with the smallest degree of change D (see Expression (2)) as a re-select operation condition. Thus, by changing the operating condition of the blast furnace from the re-standard operating condition to the operating condition having the smallest change degree D of the operating condition, a layer thickness distribution similar to the target layer thickness distribution is obtained in the blast furnace, and the operating condition It is possible to reduce the fluctuation risk of the in-furnace state due to the change of

  The deriving device 110 according to the present embodiment has the above-described configuration. Next, the operation of the deriving device 110 will be described with reference to FIGS. 9 to 12.

  Also in the derivation device 110 of the present embodiment, steps S1 to S8 are performed as in the first embodiment.

  Specifically, the reference operation condition (see FIG. 3) is input to the condition creating unit 22 by the input unit 12 (step S1). When the reference operating condition is input, if the previous data remains in the database 28, this data is erased. If not, the process proceeds to the next step as it is (step S2). In the condition creating means 22, a parameter included in the reference operation condition is randomly changed from the reference operation condition to create a large number of calculation operation conditions (step S3). In the present embodiment, for example, 1280000 operation conditions for calculation are created (see the column of the number of simulations for the first selection of conditions in FIG. 11). The operation conditions for calculation created by the condition creating means 22 are sequentially transmitted to the database 28 as output signals.

  When the operation conditions for calculation are stored in the database 28, the prediction layer 24 predicts the predicted layer thickness distribution from each operation condition for calculation (step S4). In the prediction means 24 of this embodiment, the shape of the upper surface of the deposit layer having the predicted layer thickness distribution (predicted layer upper surface shape) is predicted together with the predicted layer thickness distribution, and stored in the database 28 in a state of being associated with each other. Is done. Steps until the predicted layer thickness distribution and the predicted layer upper surface shape of a predetermined number (in the case of the present embodiment, the number of operation conditions for calculation created in step S3 (128,000: see FIG. 11)) are accumulated in the database 28 S3 and step S4 are repeated (step S5).

  In parallel with step S3 to step S5, the reference layer thickness distribution is predicted by the prediction means 24 (step S3a), and the layer thickness distribution (target layer thickness distribution) targeted by the operator or the like based on the reference layer thickness distribution. Is set (step S4a).

  When a predetermined number of predicted layer thickness distributions and predicted layer upper surface shapes are accumulated in the database 28 and the target layer thickness distribution is set, the selection means 26 is selected from a large number of predicted layer thickness distributions accumulated in the database 28. The operation condition (selected operation condition) of the blast furnace to be changed is selected by (Step S6 to Step S8).

  The deriving device 110 of this embodiment derives the operating conditions of the blast furnace for making the layer thickness distribution in the blast furnace a distribution state close to the target layer thickness distribution with the same degree of accuracy as the deriving device 10 of the first embodiment. In step S8, various data selected or calculated up to step S8 are displayed on the output means 14 (step S16), and the process ends. The data is close to the target layer thickness distribution with higher accuracy than in the derivation device 10 of the first embodiment. When deriving the operating conditions of the blast furnace for the distribution state, the process proceeds to the next step (step S10).

  Next, the recondition creation means 32 acquires the selected operation condition selected by the second process unit 26b as the rereference operation condition, and creates a large number of recalculation operation conditions based on the rereference operation condition. (Step S11). Specifically, the recondition creating means 32 of the present embodiment uses, for example, the case 1 of FIGS. 5 (a), 5 (b), 6 and 7 which is the selected operation condition in the second process unit 26b. It is acquired as a re-reference operation condition, and by changing the parameters included in the re-reference operation condition within a predetermined range (in this embodiment, the tilt point is within 3 points), 9865 (the condition selection first time in FIG. 11) The operation condition for recalculation (the difference in the number of simulations from the second time) is created. At this time, on the basis of the selected operation condition derived in the search unit 30a as an operation condition for obtaining a layer thickness distribution close to the target layer thickness distribution, the parameters included in the selected operation condition are changed and a number of recalculation operation conditions are obtained. As a result, the operation condition (operation condition for calculation) is obtained that causes a layer thickness distribution closer to the target layer thickness distribution in the blast furnace than the layer thickness distribution corresponding to the selected operation condition.

  The recalculation operation conditions created by the recondition creation means 32 are sequentially transmitted to the database 28 as output signals.

  When the recalculation operation conditions are stored in the database 28, the re-prediction means 34 sequentially draws out, and the re-prediction means 34 predicts the re-predicted layer thickness distribution from each re-calculation operation condition (step S12). At this time, in the re-prediction unit 34, similarly to the prediction unit 24, the shape of the upper surface of the deposit layer having the re-predicted layer thickness distribution (re-predicted layer upper surface shape) is predicted together with the re-predicted layer thickness distribution. . The re-predicted layer thickness distribution and the re-predicted layer upper surface shape corresponding to the re-predicted layer thickness distribution are sequentially associated with each other and transmitted to the database 28. The recalculation operation conditions used when the re-predicted layer thickness distribution is predicted are also stored in the database 28 in association with the re-predicted layer thickness distribution and the re-predicted layer upper surface shape.

  When the re-predicted layer thickness distribution corresponding to all the re-calculation operation conditions (in this embodiment, for example, 9865 re-calculation operation conditions) is predicted and stored in the database 28, the re-selection unit 36 determines the predetermined value. The recalculation operation condition (reselection operation condition) is selected (steps S13 to S15).

  Specifically, the reselection unit 36 compares each re-predicted layer thickness distribution predicted by the re-prediction unit 34 with the target layer thickness distribution, and calculates an error value E (see Expression (1)). (Step S13).

  When the error value E for all the re-predicted layer thickness distributions is calculated, the reselecting means 36 compares the calculated error values E, selects the smallest error value E, and calculates this error value E. The re-predicted layer thickness distribution used in is derived. Then, the reselecting unit 36 corresponds to the derived re-predicted layer thickness distribution, that is, the recalculation operation condition used when the re-predicted layer thickness distribution is predicted by the re-predicting unit 34 is stored in the database 28. Is obtained as a reselection operation condition (step S14).

  When the error value E is calculated for the first time, the reselection unit 36 selects the smallest error value E, acquires the reselection operation condition corresponding to the error value E from the database 28, and outputs it to the recondition creation unit 32. However, after the second time, the reselection operation condition acquired as described above is output to the recondition creating means 32 until there is no error value E smaller than the smallest error value obtained last time. Steps up to S14 are repeated (step S15).

  This process is shown in FIG. As can be seen from the error value (evaluation function) E in FIG. 11, by repeating steps S11 to S14, compared with the layer thickness distribution under the selection operation condition obtained by the selection means 26 of the search unit 30a, A layer thickness distribution closer to the target layer thickness distribution was obtained. That is, as an operation condition for generating a layer thickness distribution close to the target layer thickness distribution in the blast furnace, a number of recalculation operations are performed based on the selected operation condition (re-reference operation condition) once selected by the selection means 26. By creating the condition, it is possible to obtain a layer thickness distribution having a distribution state closer to the target layer thickness distribution than the predicted layer thickness distribution selected by the selection unit 26, and further, every time steps S11 to S14 are repeated a predetermined number of times. In addition, a layer thickness distribution in a distribution state closer to the target layer thickness distribution than the previous time can be obtained. Then, by searching the operating conditions for which the obtained layer thickness distribution is predicted, the operation of the blast furnace to be changed from the reference operating conditions in order to bring the layer thickness distribution in the blast furnace closer to the target layer thickness distribution. Conditions (reselection operation conditions) are obtained.

  Specifically, in the search unit 30a, a predicted layer thickness distribution is predicted from each of a large number of operation conditions created by changing parameters at random, and a predicted layer thickness distribution close to the target layer thickness distribution is selected from the predicted layer thickness distribution. The operation condition in which the predicted layer thickness distribution is predicted is selected as the selected operation condition. Then, in the recondition creation means 32 of the search unit 30b, a large number of recalculation operation conditions are created in a state where the parameter fluctuation range is limited based on the selected operation conditions. A large number of recalculation operating conditions created in this way are operating conditions close to the selected operation conditions because the parameter change range is narrow, and the re-predicted layer thickness distribution predicted from these recalculation operating conditions, The number close to the predicted layer thickness distribution selected as the distribution state close to the target layer thickness distribution in the search unit 30a increases. That is, the operating condition in which the layer thickness distribution in a distribution state far from the target layer thickness distribution is predicted as compared with the predicted layer thickness distribution is excluded. Therefore, many re-predicted layer thickness distributions close to the predicted layer thickness distribution can be obtained more efficiently than when the operating condition parameters are changed randomly. Then, the re-selection unit 36 selects a re-predicted layer thickness distribution closer to the target layer thickness distribution than the predicted layer thickness distribution, and retrieves the operation condition corresponding to the re-predicted layer thickness distribution. Therefore, more favorable operation conditions (reselection operation conditions) that cause a closer layer thickness distribution in the blast furnace can be efficiently derived. By repeating the process of deriving the reselection operation condition in the same manner as described above using the reselection operation condition derived in this manner as the re-reference condition, the target layer thickness distribution is closer to the target layer thickness than the previous process by a predetermined number of times. A more favorable operating condition for causing the layer thickness distribution in the blast furnace is efficiently derived.

  In addition, as shown in FIG. 12, the re-calculation operation condition is created by changing the parameters within a predetermined range (within 3 points in the present embodiment) from the re-reference operation condition, thereby obtaining the result of the above repetition. The surface profile corresponding to the reselection operating condition obtained as is substantially the same as the surface profile corresponding to the re-reference operating condition. This shows that the target layer thickness distribution can be obtained without changing the shape of the surface profile much.

  The reselection unit 36 repeats steps S11 to S15 as described above, and outputs the operation condition corresponding to the error value E obtained last to the output unit 14 as the reselection operation condition. Further, the reselection unit 36 acquires the re-predicted layer thickness distribution corresponding to the reselection operation condition and the re-predicted layer top surface shape corresponding to the re-predicted layer thickness distribution from the database 28 and outputs them to the output unit 14. Various data are displayed by the output means 14 as mentioned above (step S16). The operator or the like can obtain a layer thickness distribution in a distribution state close to the target layer thickness distribution with high accuracy by changing the operating conditions of the blast furnace based on each result displayed on the output means 14.

  According to the derivation device 110 as described above, a prediction layer corresponding to the operation condition selected by the selection unit 26 is created by creating the operation condition for recalculation based on the operation condition selected by the selection unit 26. The layer thickness distribution (re-predicted layer thickness distribution) closer to the target layer thickness distribution than the thickness distribution can be obtained, and the layer thickness in the blast furnace is searched by searching the operating conditions for which this layer thickness distribution is predicted. In order to make the distribution closer to the target layer thickness distribution, the operating conditions of the blast furnace to be changed from the reference operating conditions can be obtained.

  When re-calculation operation conditions are created from re-standard operation conditions, the range in which each parameter can be changed is limited, so the number of re-calculation operation conditions to be created can be changed without changing each parameter. Since the number of operation conditions for calculation is smaller, the prediction time in the re-prediction means 34 can be performed in a shorter time than the prediction time in the prediction means 24. That is, since it takes time to predict the layer thickness distribution (simulation or the like) when the operation conditions are changed, the prediction time can be shortened by limiting the number of operation conditions to be created. In addition, by reducing the change range of each parameter, the change of the surface profile can be reduced before and after the change of the operation condition.

  The blast furnace operating condition deriving method and the blast furnace operating condition deriving apparatus using this method according to the present invention are not limited to the first and second embodiments, and do not depart from the gist of the present invention. Of course, various changes can be made within the range.

  In the deriving devices 10 and 110 of the first and second embodiments, a plurality of operation conditions for calculation that can obtain a layer thickness distribution close to the target layer thickness distribution are selected, and the operation conditions from the reference operation conditions are further selected. The operation condition for operation with little change is selected from the plurality of operation conditions for operation. However, there is no need to select the operation condition with less change in operation condition. That is, the operation condition for calculation with a small error value E may be selected. By changing the operating condition of the blast furnace to the operation condition selected in this way, a layer thickness distribution having a distribution close to the target layer thickness distribution can be obtained in the blast furnace.

  The deriving devices 10 and 110 may only present a plurality of operation condition candidates that can obtain a layer thickness distribution close to the target layer thickness distribution, and the operator of the blast furnace may make the final selection. In this case, the deriving devices 10 and 110 may be configured to display (output) the corresponding layer thickness distribution, layer upper surface shape, error value, and the like together with the candidate operation conditions.

  Of the parameters of the reference operation condition (or re-reference operation condition), the type of parameter to be changed to create the operation condition for calculation (or operation condition for re-calculation) is not limited. For example, in the first and second embodiments, only the tilt point is changed to create the operation condition for calculation (or the operation condition for recalculation). However, the present invention is not limited to this. For example, the value of the sounding level May be changed to create a calculation operation condition (or a recalculation operation condition). Thus, the operation condition for operation (or the operation condition for recalculation) obtained by changing the value of the sounding level is changed to the operation condition for the operation (or operation condition for recalculation) when the operation condition of the blast furnace is changed. The operation condition is such that the height position in the blast furnace on the upper surface of the charge accumulation layer is changed as compared with the case where the operation is performed under the standard operation condition (or the re-standard operation condition).

  In the first and second embodiments, the layer thickness distribution and the layer upper surface shape corresponding to the operation condition for calculation other than the operation condition for operation having a small error value E are derived or predicted, but the present invention is not limited to this. That is, it is only necessary to derive a calculation operation condition having a small error value E.

  The condition creating means 22 of the first and second embodiments creates a calculation operation condition by randomly changing a parameter included in the reference operation condition without limitation, but the parameter change range is within a predetermined range. You may restrict to. By limiting in this way, the condition creation means 22 loses the diversity of operation conditions for calculation obtained when compared with changing parameters without limitation, but the distribution is close to the layer thickness distribution corresponding to the reference operation conditions. Since the operation conditions for calculation that can obtain the layer thickness distribution in the state are efficiently created, it is possible to create the necessary number of operation conditions for calculation in a shorter time than when the parameters are changed without limitation.

  Moreover, as in the derivation device 110 of the second embodiment, on the basis of the selection criterion condition derived by the search unit 30a, 1) creation of operation conditions for recalculation, and 2) prediction of a re-predicted layer thickness distribution based on this. 3) Selection of re-predicted layer thickness distribution close to the target layer thickness distribution, 4) Re-selection operation condition corresponding to the selected re-predicted layer thickness distribution, and 1) For recalculation based on this re-selection operation condition By repeating the creation of the operation conditions,..., It is possible to derive the operation conditions to be changed from the reference operation conditions in order to obtain a layer thickness distribution close to the target layer thickness distribution. For example, in the derivation device 110 according to the second embodiment, when the reference operation condition as shown in FIG. 13 is given, 12048 operation conditions for calculation are created by the condition creating unit 22 and the search unit 30b performs step S11. To step S15 was repeated eight times (see FIG. 14), and reselection operation conditions were derived. As a result, the reselection operation condition derived by the deriving device 110 is derived from the reference operation condition as compared with the operation in which the condition creation unit 22 of the search unit 30a changes the parameter without limitation to create the operation condition for calculation. Some changes occur in the surface profile before and after the change of the operation conditions (see FIG. 15), but it can be seen that the reselection operation conditions have been derived that can obtain a layer thickness distribution close to the target layer thickness distribution ( (See error value column in FIG. 14). In addition, since the operation condition for calculation created by limiting the parameter change range in the condition creating means 22 is reduced, the number of simulations in the predicting means is greatly reduced (simulations shown in FIGS. 11 and 14). The time from the input of the standard operation condition to the derivation of the reselection operation condition can be greatly shortened. Further, the degree of change of the surface profile in FIG. 15 is also small enough not to cause a problem in actual blast furnace operation.

  In the second embodiment, the search unit 30a and the search unit 30b may be configured by common components. That is, the condition creating means 22 and the recondition creating means 32 are constituted by a common condition creating means, the predicting means 24 and the repredicting means 34 are constituted by a common predicting means, the selecting means 26 and the reselecting means 36 May be constituted by a common selection means.

10 Deriving device (Blast furnace operating condition deriving device)
12 Input means 14 Output means 20 Device body 22 Condition creation means (calculation condition creation means)
24 Prediction means 26 Selection means 28 Database E Error value

Claims (16)

A method for deriving operating conditions of a blast furnace to make the layer thickness distribution of the charge accumulation layer in the blast furnace close to the target layer thickness distribution,
A reference setting step for setting a reference operation condition which is an operation condition including a parameter capable of adjusting the layer thickness distribution;
A calculation condition creation step for creating a large number of calculation operation conditions obtained by changing parameters included in the reference operation conditions from the reference operation conditions set in the reference setting step,
When the operation of the blast furnace is changed from the reference operation condition to the operation condition for calculation created in the calculation condition preparation step, the layer thickness distribution generated in the blast furnace after the change of the operation condition is set as the predicted layer thickness distribution. A prediction process to predict;
One or a plurality of predicted layer thickness distributions whose distribution states are similar to the target layer thickness distribution are selected from the multiple predicted layer thickness distributions predicted in the prediction step, and at least a part of the selected predicted layer thickness distribution is A blast furnace operating condition derivation method, comprising: a selecting step using the operating condition for calculation used when the predicted layer thickness distribution is predicted in the predicting step as a selected operating condition. In the blast furnace operating condition derivation method according to claim 1,
The selecting step selects a plurality of predicted layer thickness distributions having a distribution state similar to the target layer thickness distribution from the plurality of predicted layer thickness distributions, and predicts the selected plurality of predicted layer thickness distributions in the prediction step. A first selection step of selecting the operation condition for calculation used as the candidate operation condition;
The second selection that selects the candidate operation condition with the least degree of change in the operation condition from the reference operation condition as the selected operation condition from the plurality of candidate operation conditions selected in the first selection step. A method for deriving operating conditions of a blast furnace. In the blast furnace operating condition derivation method according to claim 1 or 2,
The reference operation condition and the calculation operation condition include a plurality of types of parameters,
In the operation condition creation step, the operation condition for operation is derived by changing a specific type of parameter from among a plurality of types of parameters included in the reference operation condition. Method. In the blast furnace operation condition derivation method according to any one of claims 1 to 3,
A database including a large number of predicted layer thickness distributions predicted in the prediction step and a number of distribution / operation condition pairs associated with the operation conditions for calculation used when each predicted layer thickness distribution is predicted in the prediction step. Including a database construction step that is pre-built before the selection step,
In the selection step, each time the target layer thickness distribution is given, an expected layer thickness distribution having a distribution state similar to the target layer thickness distribution is included among a number of distribution / operation condition pairs stored in advance in the database. A method for deriving operating conditions of a blast furnace, characterized by selecting a pair of distribution and operating conditions. In the blast furnace operation condition derivation method according to any one of claims 1 to 4,
Re-calculation condition creation that creates a number of re-calculation operation conditions obtained by changing the parameters included in the re-reference operation conditions, with the selected operation condition selected in the selection step as a re-reference operation condition Process,
When the operation of the blast furnace is changed from the re-standard operation condition to each re-calculation operation condition created in the re-calculation condition creation step, the layer thickness distribution generated in the blast furnace after the change of the operation condition is re-predicted. A re-prediction process to predict each as a layer thickness distribution;
One or a plurality of re-predicted layer thickness distributions whose distribution states are similar to those of the target layer thickness distribution are selected from among a large number of re-predicted layer thickness distributions predicted in the re-predicting step, and at least the selected re-predicted layer thickness distributions are selected. A blast furnace, further comprising a reselection step of selecting a recalculation operation condition used when the reprediction layer thickness distribution is predicted in the re-prediction step for a part, and setting it as a reselection operation condition Method for deriving operating conditions. In the blast furnace operating condition derivation method according to claim 5,
In the recalculation condition creating step, each parameter included in the re-reference operation condition is changed within a predetermined range determined in advance from the parameter. In the blast furnace operating condition derivation method according to claim 5 or 6,
The recalculation condition creation step, the re-prediction step, and the reselection step are repeated in order,
In the recalculation condition creation step, the recalculation operation condition is created by using the reselection operation condition selected in the reselection step as the rereference operation condition. In the blast furnace operating condition derivation method according to any one of claims 5 to 7,
The reselection step selects a plurality of re-predicted layer thickness distributions having a distribution state similar to the target layer thickness distribution from the plurality of re-predicted layer thickness distributions, and selects the selected plurality of re-predicted layer thickness distributions A first reselection step of selecting the recalculation operation condition used when predicted in the reprediction step as a recandidate operation condition;
Among the plurality of re-candidate operation conditions selected in the first re-selection step, a re-candidate operation condition with the least degree of change of the operation condition from the re-reference operation condition is selected and the re-select operation condition And a second reselection step of performing a blast furnace operating condition derivation method. An apparatus for deriving operating conditions of the blast furnace for making the layer thickness distribution of the charge accumulation layer in the blast furnace close to the target layer thickness distribution,
By setting a reference operation condition, which is an operation condition including a parameter capable of adjusting the layer thickness distribution, a number of operation conditions for calculation obtained by changing a parameter included in the set reference operation condition are set. Calculation condition creation means for creating and storing;
When the operation of the blast furnace is changed from the reference operation condition to each operation condition for operation created by the operation condition preparation means, the layer thickness distribution generated in the blast furnace after the change of the operation condition is set as the predicted layer thickness distribution. Prediction means for predicting and storing;
One or a plurality of predicted layer thickness distributions whose distribution states are similar to the target layer thickness distribution are selected from the multiple predicted layer thickness distributions predicted by the prediction unit, and the selected predicted layer thickness distribution is predicted by the prediction unit. A selection means for setting the operation condition for calculation used when the operation is performed as the selected operation condition;
And a blast furnace operating condition deriving device comprising: output means for outputting the selected operating condition selected by the selecting means to the outside. In the blast furnace operation condition deriving device according to claim 9,
The prediction means predicts the layer thickness distribution generated in the blast furnace after the change of the operation condition when the operation of the blast furnace is changed from the reference operation condition to each operation condition created by the calculation condition creation means. A predictor for predicting the layer thickness distribution,
A database unit that stores a large number of predicted layer thickness distributions predicted by the prediction unit and the operation conditions for calculation used when each of the predicted layer thickness distributions is predicted by the prediction unit and stores them as distribution / operation condition pairs. Have
The selection means selects a distribution / operation condition pair including an expected layer thickness distribution having a distribution state similar to the target layer thickness distribution from the database unit by being given the layer thickness distribution. Condition derivation device. In the blast furnace operating condition deriving device according to claim 9 or 10,
The output means outputs the predicted layer thickness distribution corresponding to the selected operating condition together with the selected operating condition selected by the selecting means. In the blast furnace operating condition deriving device according to claim 9 or 10,
In the prediction means, the predicted layer upper surface shape of the charge deposit layer having the predicted layer thickness distribution is predicted together with the predicted layer thickness distribution generated in the blast furnace after the operation condition change,
The output means outputs a selected operation condition selected by the selection means, a predicted layer thickness distribution corresponding to the selected operation condition, and a predicted layer upper surface shape corresponding to the predicted layer thickness distribution. Operating condition derivation device. In the blast furnace operating condition deriving device according to any one of claims 9 to 12,
A ranking unit that ranks the plurality of selected operation conditions selected by the selection unit in order of decreasing degree of change of the operation condition from the reference operation condition,
The blast furnace operating condition derivation apparatus characterized in that the output means outputs each selected operating condition selected by the selecting means in a state where the ranking is given by the ranking means. In the blast furnace operation condition deriving device according to any one of claims 9 to 13,
Recalculation condition creating means for creating and storing a number of recalculation operation conditions obtained by changing the parameters included in the rereference operation conditions, with the selected operation condition as a rereference operation condition;
When the operation of the blast furnace is changed from the re-standard operation condition to each re-calculation operation condition created by the re-calculation preparation means, the layer thickness distribution generated in the blast furnace after the change of the operation condition is re-predicted layer thickness Re-prediction means for predicting and storing each as a distribution;
One or a plurality of re-predicted layer thickness distributions whose distribution states are similar to the target layer thickness distribution are selected from a number of re-predicted layer thickness distributions predicted by the re-predicting means, and the selected re-predicted layer thickness distribution is A reselection unit that uses the recalculation condition used when predicted by the reprediction unit as a reselection operation condition;
The blast furnace operating condition deriving device according to claim 1, wherein when the reselecting operation condition is selected by the reselecting means, the output means outputs the reselecting operation condition to the outside. In the blast furnace operating condition deriving device according to claim 14,
The operation condition deriving device for a blast furnace characterized in that in the recalculation condition creating means, each parameter included in the reference operation condition is changed within a predetermined range predetermined from the parameter. In the blast furnace operation condition deriving device according to claim 14 or 15,
Re-ranking means for ranking the plurality of re-selection operation conditions selected by the re-selection means in order of decreasing degree of change of the operation condition from the re-reference operation condition,
The blast furnace operating condition derivation apparatus characterized in that the output means outputs each reselected operating condition selected by the reselecting means in a state in which the order is given by the reordering means.

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