CN116596231A - Molten iron scheduling plan correction method, molten iron scheduling plan correction device, molten iron scheduling plan correction equipment and storage medium - Google Patents

Molten iron scheduling plan correction method, molten iron scheduling plan correction device, molten iron scheduling plan correction equipment and storage medium Download PDF

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CN116596231A
CN116596231A CN202310526833.0A CN202310526833A CN116596231A CN 116596231 A CN116596231 A CN 116596231A CN 202310526833 A CN202310526833 A CN 202310526833A CN 116596231 A CN116596231 A CN 116596231A
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molten iron
blast furnace
time
corrected
historical
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CN116596231B (en
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杜雪飞
肖伟
周国礼
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Chongqing Cisai Tech Co Ltd
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Chongqing Cisai Tech Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Abstract

The invention discloses a molten iron scheduling plan correction method, a molten iron scheduling plan correction device, molten iron scheduling plan correction equipment and a storage medium, wherein the molten iron scheduling plan correction method comprises the following steps of: acquiring historical molten iron consumption and historical molten iron production of each blast furnace in each preset unit time, and calculating the molten iron balance probability of each blast furnace; acquiring historical state operation data of equipment of the blast furnace to be corrected in each preset unit time, and constructing a state prediction model of the equipment of the blast furnace to be corrected by combining corresponding historical molten iron consumption and historical molten iron production; constructing a molten iron prediction model when the molten iron balance corresponding to the blast furnace to be corrected is balanced; calculating the pre-measurement of the molten iron production; obtaining a state molten iron consumption predicted value and a real-time molten iron consumption predicted value which are output by the molten iron prediction model and correspond to the state molten iron when balanced; according to the state molten iron consumption predicted quantity and the real-time molten iron consumption predicted quantity, calculating the predicted correction quantity of the molten iron of the blast furnace to be corrected, and further correcting the real-time molten iron consumption quantity of the blast furnace to be corrected.

Description

Molten iron scheduling plan correction method, molten iron scheduling plan correction device, molten iron scheduling plan correction equipment and storage medium
Technical Field
The present invention relates to the field of molten iron scheduling technologies, and in particular, to a method, an apparatus, a device, and a storage medium for correcting a molten iron scheduling plan.
Background
With the increasing demand of molten iron, large-scale steel enterprises need to respectively control the production of molten iron with different steelmaking demands so as to avoid the problems of over-high production cost, excessive production or insufficient productivity.
In the existing molten iron dispatching, a manufacturing execution system is generally adopted to deliver a molten iron dispatching plan, namely, the molten iron dispatching is carried out by combining the manually set molten iron using requirement with the molten iron storage amount and the consumption, but when large-scale molten iron dispatching is carried out, the molten iron amount of each iron-making blast furnace needs to be analyzed one by one, so that the molten iron dispatching depends on the setting of manual experience, different operators are caused to carry out the dispatching control plan to output uneven quality, meanwhile, the dispatching is carried out only by depending on the dimension of the molten iron amount, errors caused by the loss of process equipment such as iron making, steel making and steel rolling are easily ignored, the molten iron dispatching accuracy is low, the efficiency is low, and meanwhile, the molten iron dispatching amount possibly changes due to the state of the current equipment, so that the problems of incapability of real-time control, unstable iron delivering and high randomness are caused.
Therefore, there is a need for a correction method capable of controlling the molten iron scheduling plan in real time so that the stability, accuracy and scheduling efficiency of the molten iron are high.
Disclosure of Invention
The invention provides a molten iron scheduling plan correction method, a molten iron scheduling plan correction device, molten iron scheduling plan correction equipment and a molten iron scheduling plan correction storage medium, and aims to solve the technical problems that a molten iron scheduling plan cannot be controlled in real time, tapping is unstable, randomness is high, molten iron scheduling accuracy is low and efficiency is low in the prior art.
In order to solve the above technical problems, an embodiment of the present invention provides a method for correcting a molten iron scheduling plan, including:
acquiring historical molten iron consumption and historical molten iron production of each blast furnace in each preset unit time respectively, and calculating the molten iron balance probability of each blast furnace according to the historical molten iron consumption and the historical molten iron production; wherein, the molten iron balance is a state when the difference between the molten iron consumption and the molten iron production is smaller than a preset ratio;
when the blast furnace to be corrected with the molten iron balance probability smaller than the preset value exists, acquiring historical state operation data of equipment of the blast furnace to be corrected in each preset unit time, and constructing a state prediction model of the equipment of the blast furnace to be corrected by combining corresponding historical molten iron consumption and historical molten iron production;
according to the historical molten iron production quantity of the blast furnace to be corrected when the molten iron is balanced in each preset unit time and the historical molten iron consumption quantity corresponding to the molten iron balance in the preset unit time, constructing a molten iron prediction model corresponding to the blast furnace to be corrected when the molten iron is balanced;
Acquiring current real-time state operation data of the blast furnace to be corrected in real time, and calculating the predicted amount of the molten iron production through the state prediction model;
acquiring a current real-time scheduling plan of the blast furnace to be corrected in real time, and respectively obtaining a state molten iron consumption predicted value and a real-time molten iron consumption predicted value which are output by the molten iron prediction model and correspond to the molten iron balance by taking the molten iron production predicted value and the real-time molten iron production quantity as inputs through the molten iron prediction model; wherein the real-time scheduling plan comprises the real-time molten iron production quantity and the real-time molten iron consumption quantity of the current blast furnace;
according to the state molten iron consumption predicted quantity and the real-time molten iron consumption predicted quantity, calculating the predicted correction quantity of the molten iron of the blast furnace to be corrected, and further correcting the real-time molten iron consumption quantity of the blast furnace to be corrected.
As a preferable mode, the calculating the molten iron balance probability of each blast furnace according to the historical molten iron consumption and the historical molten iron production comprises the following specific steps:
through the historical molten iron consumption and the historical molten iron production of each blast furnace in each preset unit time, constructing a historical data matrix corresponding to each blast furnace;
carrying out data cleaning on the historical data matrixes so that the corresponding lacking data of each blast furnace is removed in the same way in each preset unit time, and the preset unit time in each historical data matrix after the data cleaning is the same;
Calculating each preset value through the history data matrix after data cleaningMolten iron allowance in unit time; wherein, the calculation formula of the molten iron allowance is as follows:Iron re is the balance of molten iron>For historical molten iron production, +.>Is the historical molten iron consumption;
when the molten iron allowance is larger than the corresponding historical molten iron production quantity multiplied by a preset proportion value, the corresponding production state of the preset unit time is not reached to the molten iron balance;
when the molten iron allowance is smaller than or equal to the corresponding historical molten iron production quantity multiplied by a preset proportion value, the corresponding production state of the preset unit time is indicated to reach molten iron balance;
until each blast furnace obtains the production state of the blast furnace in each preset unit time, and the molten iron balance probability of each blast furnace is calculated.
Preferably, the method further comprises:
when no blast furnaces to be corrected with the molten iron balance probability smaller than a preset value exist, acquiring historical state operation data of equipment of each blast furnace in each preset unit time;
according to the historical molten iron consumption and the historical molten iron production of each blast furnace in each preset unit time, combining historical state operation data of equipment of each blast furnace in each preset unit time, and constructing a standard prediction model;
Acquiring a scheduling plan of each blast furnace and real-time state operation data of equipment in real time, and respectively checking the scheduling plans of each blast furnace acquired in real time through the standard prediction model;
if the difference between the dispatching plan and the verification result is smaller than a preset range, the dispatching plan of the blast furnace is not required to be corrected;
and if the difference between the dispatching plan and the verification result is larger than a preset range, marking the blast furnace as the blast furnace to be corrected.
Preferably, the method further comprises:
correcting the scheduling plan of the blast furnace to be corrected, which is obtained by marking, according to the verification result so as to split the time intervals of the preset unit time corresponding to the blast furnace to be corrected, obtaining time periods of a plurality of preset intervals, dividing the standard molten iron consumption according to the proportion of the planned molten iron production in each preset interval to the total planned molten iron production in the preset unit time, and respectively distributing the divided standard molten iron consumption to the planned molten iron consumption in the corresponding preset interval, thereby finishing the correction of the blast furnace to be corrected, which is obtained by marking; the scheduling plan comprises a total planned molten iron consumption amount and a total planned molten iron production amount, and the verification result is a standard molten iron consumption amount of the marked blast furnace to be corrected, which is obtained through a standard prediction model.
As a preferable scheme, the calculating the predicted correction amount of the blast furnace molten iron to be corrected according to the predicted amount of the state molten iron consumption and the predicted amount of the real-time molten iron consumption, and further correcting the real-time molten iron consumption of the blast furnace to be corrected specifically comprises:
calculating a predicted difference value between the predicted quantity of the state molten iron consumption and the real-time molten iron consumption according to the predicted quantity of the state molten iron consumption and the predicted quantity of the real-time molten iron consumption;
splitting time intervals of preset unit time corresponding to the blast furnace to be corrected to obtain time periods of a plurality of preset intervals;
and equally dividing the predicted difference value according to the number of the preset intervals to obtain a plurality of predicted correction amounts, so that each preset interval is equally divided with one predicted correction amount, and the real-time molten iron consumption of the blast furnace to be corrected is corrected.
Correspondingly, the invention also provides a molten iron scheduling plan correcting device, which comprises: the system comprises a historical molten iron module, a historical state module, a molten iron balancing module, a prediction model module, a real-time scheduling module and a correction module;
the historical molten iron module is used for acquiring the historical molten iron consumption and the historical molten iron production of each blast furnace in each preset unit time respectively, and calculating the molten iron balance probability of each blast furnace according to the historical molten iron consumption and the historical molten iron production; wherein, the molten iron balance is a state when the difference between the molten iron consumption and the molten iron production is smaller than a preset ratio;
The history state module is used for acquiring history state operation data of equipment of the blast furnace to be corrected in each preset unit time when the blast furnace to be corrected with the molten iron balance probability smaller than a preset value exists, and constructing a state prediction model of the equipment of the blast furnace to be corrected by combining corresponding historical molten iron consumption and historical molten iron production;
the molten iron balancing module is used for constructing a molten iron prediction model corresponding to the blast furnace to be corrected when the molten iron is balanced according to the historical molten iron production quantity of the blast furnace to be corrected when the molten iron is balanced in each preset unit time and the historical molten iron consumption quantity corresponding to the molten iron balance in the preset unit time;
the prediction model module is used for acquiring current real-time state operation data of the blast furnace to be corrected in real time, and calculating the prediction amount of the molten iron production through the state prediction model;
the real-time scheduling module is used for acquiring a current real-time scheduling plan of the blast furnace to be corrected in real time, taking the predicted quantity of molten iron production and the real-time molten iron production as inputs through the molten iron prediction model, and respectively obtaining the predicted quantity of molten iron consumption and the predicted quantity of real-time molten iron consumption, which are output by the molten iron prediction model and correspond to the state of molten iron balance; wherein the real-time scheduling plan comprises the real-time molten iron production quantity and the real-time molten iron consumption quantity of the current blast furnace;
The correction module is used for calculating the predicted correction amount of the blast furnace molten iron to be corrected according to the state molten iron consumption predicted amount and the real-time molten iron consumption predicted amount, and further correcting the real-time molten iron consumption amount of the blast furnace to be corrected.
Preferably, the method further comprises:
when no blast furnaces to be corrected with the molten iron balance probability smaller than a preset value exist, acquiring historical state operation data of equipment of each blast furnace in each preset unit time;
according to the historical molten iron consumption and the historical molten iron production of each blast furnace in each preset unit time, combining historical state operation data of equipment of each blast furnace in each preset unit time, and constructing a standard prediction model;
acquiring a scheduling plan of each blast furnace and real-time state operation data of equipment in real time, and respectively checking the scheduling plans of each blast furnace acquired in real time through the standard prediction model;
if the difference between the dispatching plan and the verification result is smaller than a preset range, the dispatching plan of the blast furnace is not required to be corrected;
and if the difference between the dispatching plan and the verification result is larger than a preset range, marking the blast furnace as the blast furnace to be corrected.
Preferably, the method further comprises:
correcting the scheduling plan of the blast furnace to be corrected, which is obtained by marking, according to the verification result so as to split the time intervals of the preset unit time corresponding to the blast furnace to be corrected, obtaining time periods of a plurality of preset intervals, dividing the standard molten iron consumption according to the proportion of the planned molten iron production in each preset interval to the total planned molten iron production in the preset unit time, and respectively distributing the divided standard molten iron consumption to the planned molten iron consumption in the corresponding preset interval, thereby finishing the correction of the blast furnace to be corrected, which is obtained by marking; the scheduling plan comprises a total planned molten iron consumption amount and a total planned molten iron production amount, and the verification result is a standard molten iron consumption amount of the marked blast furnace to be corrected, which is obtained through a standard prediction model.
Correspondingly, the invention also provides a terminal device, which comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the molten iron scheduling plan correction method is realized when the processor executes the computer program.
Correspondingly, the invention further provides a computer readable storage medium, which comprises a stored computer program, wherein the equipment where the computer readable storage medium is located is controlled to execute the molten iron scheduling plan correction method according to any one of the above when the computer program runs.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
according to the technical scheme, the historical molten iron consumption and the historical molten iron production of each blast furnace in each preset unit time are obtained to calculate the molten iron balance probability of each blast furnace, the blast furnace to be corrected and the historical state operation data are further obtained through the molten iron balance probability, so that the state prediction model of the blast furnace to be corrected is built, the molten iron prediction model in the process of molten iron balance is further obtained and built, the molten iron consumption can be further corrected after the scheduling plan and the state operation data of blast furnace equipment are obtained in real time, the correction of the molten iron scheduling plan is carried out by combining the equipment state information, thereby ensuring the accuracy and the efficiency of molten iron scheduling, constructing the molten iron consumption models under different conditions, enabling molten iron scheduling to be more reasonable, simultaneously correcting the molten iron in a consumption end through the state molten iron consumption pre-measurement and the real-time molten iron consumption pre-measurement of the blast furnace, avoiding the equipment from being different due to excessive change before and after the correction in the actual production process, and improving the accuracy of the molten iron full scheduling process.
Drawings
Fig. 1: the step flow chart of the molten iron scheduling plan correction method provided by the embodiment of the invention;
fig. 2: the embodiment of the invention provides a structural schematic diagram of a molten iron scheduling plan correcting device.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, a molten iron scheduling plan correction method provided by an embodiment of the present invention includes the following steps S101 to S106:
step S101: acquiring historical molten iron consumption and historical molten iron production of each blast furnace in each preset unit time respectively, and calculating the molten iron balance probability of each blast furnace according to the historical molten iron consumption and the historical molten iron production; wherein the molten iron balance is a state when a difference between the molten iron consumption amount and the molten iron production amount is smaller than a preset ratio.
The preset unit time may be a unit of one day, one week or one month, so that the historical data of the historical molten iron consumption and the historical molten iron production are obtained, and the historical operation of each blast furnace can be accurately obtained through the historical data, so as to reflect the production condition of the blast furnace.
As a preferable mode of this embodiment, the calculating the molten iron balance probability of each blast furnace according to the historical molten iron consumption and the historical molten iron production amount specifically includes:
through the historical molten iron consumption and the historical molten iron production of each blast furnace in each preset unit time, constructing a historical data matrix corresponding to each blast furnace; carrying out data cleaning on the historical data matrixes so that the corresponding lacking data of each blast furnace is removed in the same way in each preset unit time, and the preset unit time in each historical data matrix after the data cleaning is the same; calculating molten iron allowance of each preset unit time through a historical data matrix after data cleaning; wherein, the calculation formula of the molten iron allowance is as follows: Iron re is the balance of molten iron,for historical molten iron production, +.>Is the historical molten iron consumption; when the molten iron allowance is larger than the corresponding historical molten iron production quantity multiplied by a preset proportion value, the corresponding production state of the preset unit time is not reached to the molten iron balance; when the molten iron allowance is smaller than or equal to the corresponding historical molten iron production quantity multiplied by a preset proportion value, the corresponding production state of the preset unit time is indicated to reach molten iron balance; until each blast furnace obtains the production state of the blast furnace in each preset unit time, and the molten iron balance probability of each blast furnace is calculated.
In this embodiment, the historical molten iron consumption and the historical molten iron production in each preset unit time are respectively passed through each blast furnace, so as to construct a historical data matrix corresponding to each blast furnace:wherein a is i1 ,…,a ij Is the historic molten iron consumption of the blast furnace i, b i1 ,…,b ij The historical molten iron production of the blast furnace i is 1, …, j is each preset unit time, and i corresponds to the blast furnace. And cleaning data through the constructed historical data matrix, so that the corresponding historical data matrix of each blast furnace has the same corresponding preset unit time and the corresponding historical data of each preset unit time. For example, for a blast furnace->For blast furnace->Wherein A is 2 Lack of complete data, which can easily lead to subsequent scheduling of molten iron for a blast furnaceDrawing errors, so that the history data corresponding to the preset unit time j=2 in all history data matrixes needs to be removed, so that the blast furnace +.>Blast furnace
Further, through the cleaned historical data matrix, the molten iron allowance of each preset unit time is calculated through a calculation formula of the molten iron allowance, and accordingly whether the blast furnace reaches molten iron balance in the preset unit time is judged according to comparison of the molten iron allowance and the value of the historical molten iron production quantity multiplied by the preset proportion. For example, in a blast furnace Illustratively, the molten Iron remaining amount in the preset unit time of j=1 is ion re1 ＝b 11 ―a 11 The molten Iron remaining amount in the preset unit time of j=3 is ion re3 ＝b 13 ―a 13 Thereby making the Iron re1 And b 11 * x and ion re3 And b 13 * x%, where x% is a preset ratio, the preset ratio may be set according to practical situations, preferably, x=0.5, and the preset ratio is set to prevent errors caused by wall hanging of molten iron due to liquid tension of the molten iron and the like.
When the remaining amount of molten iron is larger than the corresponding historical molten iron production amount multiplied by the preset ratio, it is indicated that the amount of molten iron consumption and the production amount are not balanced, and the difference between the amount of molten iron consumption and the production amount of molten iron is large, that is, the value of the remaining amount of molten iron is large. When the remaining amount of molten iron is less than or equal to the corresponding value of the historical molten iron production amount multiplied by the preset ratio, the smaller between the molten iron consumption amount and the molten iron production amount is indicated, and the smaller can be used as the error caused by the molten iron loss or the molten iron wall built-up, so that the error is ignored, and the state of molten iron balance is achieved under the preset unit time.
In this embodiment, by determining whether each preset unit time reaches the molten iron balance state, the number of times that each blast furnace reaches the molten iron balance state and the number of times that each blast furnace does not reach the molten iron balance state are counted, and thus the molten iron balance probability of each blast furnace is calculated.
Step S102: when the blast furnace to be corrected with the molten iron balance probability smaller than the preset value exists, historical state operation data of equipment of the blast furnace to be corrected in each preset unit time are obtained, and a state prediction model of the equipment of the blast furnace to be corrected is constructed by combining corresponding historical molten iron consumption and historical molten iron production.
In this embodiment, whether the blast furnace needs to correct the scheduling plan is determined by the calculated molten iron balance probability, so as to ensure that the blast furnace can maintain the state of molten iron balance in the corrected scheduling plan, further ensure that the state of balance between the production and the consumption of molten iron is achieved, and avoid the conditions of excessively high production cost and resource waste caused by unreasonable scheduling plan of molten iron.
It should be noted that, the state prediction model is preferably a data fitting model, and the state prediction model may be obtained through training of the neural network and input training and testing of initial data (historical state operation data, historical molten iron consumption and historical molten iron production).
As a preferred embodiment of the present embodiment, the method further includes:
when no blast furnaces to be corrected with the molten iron balance probability smaller than a preset value exist, acquiring historical state operation data of equipment of each blast furnace in each preset unit time; according to the historical molten iron consumption and the historical molten iron production of each blast furnace in each preset unit time, combining historical state operation data of equipment of each blast furnace in each preset unit time, and constructing a standard prediction model; acquiring a scheduling plan of each blast furnace and real-time state operation data of equipment in real time, and respectively checking the scheduling plans of each blast furnace acquired in real time through the standard prediction model; if the difference between the dispatching plan and the verification result is smaller than a preset range, the dispatching plan of the blast furnace is not required to be corrected; and if the difference between the dispatching plan and the verification result is larger than a preset range, marking the blast furnace as the blast furnace to be corrected.
In this embodiment, when there is a blast furnace to be corrected with a molten iron balance probability smaller than a preset value, in order to ensure accuracy of a scheduling plan, it is necessary to further acquire historical state data of each blast furnace apparatus to further determine an influencing factor capable of ensuring that an equilibrium state is reached between consumption and production of molten iron in different working states of the blast furnace apparatus. Thus, the historical molten iron consumption and the historical molten iron production of each blast furnace and the corresponding historical state operation data of each blast furnace are subjected to data model construction to obtain a standard prediction model of the molten iron balance of the blast furnace. Wherein the standard predictive model is also a mathematical model belonging to the data fitting.
Further, the scheduling plans of the blast furnaces and the real-time state operation data of the equipment are obtained in real time, and the scheduling plans of the blast furnaces, which are obtained in real time, are respectively checked through the standard prediction model, so that whether the conditions that the blast furnaces cannot reach molten iron balance exist in the scheduling plans are checked, the scheduling plans are corrected in time, the production errors of molten iron are avoided, and the accuracy and the efficiency of the molten iron scheduling plans are improved.
It should be noted that, the scheduling plan includes a total planned molten iron consumption amount and a total planned molten iron production amount, preferably, the verification result is a standard molten iron consumption amount of the blast furnace to be corrected, which is obtained by marking, and is obtained through a standard prediction model, so that real-time running state data of the blast furnace and the molten iron production amount in the scheduling plan can be used as inputs of the standard prediction model, so that the standard molten iron consumption amount is obtained through output, further, the standard molten iron consumption amount and the molten iron consumption amount in the scheduling plan are compared, and if the difference value between the standard molten iron consumption amount and the molten iron consumption amount is smaller than a preset range, the scheduling plan of the blast furnace is not required to be corrected; if the difference value between the two is larger than the preset range, marking the blast furnace as the blast furnace to be corrected, and carrying out subsequent dispatching plan correction of the blast furnace.
As a preferable mode of the present embodiment, further comprising:
correcting the scheduling plan of the blast furnace to be corrected, which is obtained by marking, according to the verification result so as to split the time intervals of the preset unit time corresponding to the blast furnace to be corrected, obtaining time periods of a plurality of preset intervals, dividing the standard molten iron consumption according to the proportion of the planned molten iron production in each preset interval to the total planned molten iron production in the preset unit time, and respectively distributing the divided standard molten iron consumption to the planned molten iron consumption in the corresponding preset interval, thereby finishing the correction of the blast furnace to be corrected, which is obtained by marking; the scheduling plan comprises a total planned molten iron consumption amount and a total planned molten iron production amount, and the verification result is a standard molten iron consumption amount of the marked blast furnace to be corrected, which is obtained through a standard prediction model.
In this embodiment, by checking the result, the time interval of the preset unit time corresponding to the blast furnace to be corrected is split, so as to obtain a plurality of time periods of the preset intervals, for example, if the preset unit time is in the unit of month, the preset unit time (month) may be split into 30 days, so as to obtain the time periods of 30 preset intervals. And dividing the standard molten iron consumption according to the proportion of the planned molten iron production in each preset interval to the total planned molten iron production in the preset unit time, for example, in the preset unit time, the planned molten iron production in each day is not the same, so that the planned molten iron production corresponding to each day can be used as a dividing proportion, the standard molten iron consumption is further divided according to the dividing proportion, the divided standard molten iron consumption is distributed to the planned molten iron consumption in the corresponding preset interval, and finally, the correction of the marked scheduling plan of the blast furnace to be corrected is realized.
Step S103: according to the historical molten iron production quantity of the blast furnace to be corrected when the molten iron is balanced in each preset unit time and the historical molten iron consumption quantity corresponding to the molten iron balance in the preset unit time, a molten iron prediction model corresponding to the blast furnace to be corrected when the molten iron is balanced is constructed.
In this embodiment, the blast furnace to be corrected is determined when there is a blast furnace with a molten iron balance probability smaller than a preset value, so that a molten iron prediction model corresponding to the blast furnace to be corrected needs to be constructed through the actual situation of the blast furnace to be corrected, so as to ensure that the constructed molten iron prediction model can conform to the actual situation of the blast furnace, including but not limited to factors related to normal use damage errors, set channel positions and the like of the blast furnace.
Further, under the actual operation condition, a plurality of preset unit time is in a molten iron balance state in each blast furnace, namely the molten iron balance probability cannot be equal to 0, so that a molten iron prediction model corresponding to the blast furnace to be corrected can be constructed by acquiring the preset unit time and the historical molten iron production and the historical molten iron consumption of the blast furnace to be corrected in the molten iron balance, and the molten iron prediction model is ensured to be a mathematical model of the molten iron balance of the blast furnace to be corrected. The molten iron prediction model also belongs to a mathematical model of data fitting.
Step S104: and acquiring current real-time state operation data of the blast furnace to be corrected in real time, and calculating the predicted amount of the molten iron production through the state prediction model.
In this embodiment, the real-time state operation data of the blast furnace to be corrected is obtained, and the state prediction model in step S102 is used to output the corresponding molten iron production prediction amount and the corresponding molten iron consumption prediction amount of the blast furnace to be corrected in the real-time state, that is, the molten iron production prediction amount and the molten iron consumption prediction amount are obtained based on the real-time state operation data of the blast furnace to be corrected.
Step S105: acquiring a current real-time scheduling plan of the blast furnace to be corrected in real time, and respectively obtaining a state molten iron consumption predicted value and a real-time molten iron consumption predicted value which are output by the molten iron prediction model and correspond to the molten iron balance by taking the molten iron production predicted value and the real-time molten iron production quantity as inputs through the molten iron prediction model; wherein the real-time scheduling plan includes a real-time molten iron production amount and a real-time molten iron consumption amount of the current blast furnace.
In this embodiment, the current real-time scheduling plan of the blast furnace to be corrected is obtained, so that the real-time molten iron production quantity and the real-time molten iron consumption quantity of the current blast furnace to be corrected are obtained, and further, the predicted molten iron production quantity and the real-time molten iron production quantity are respectively used as the input of a molten iron prediction model, and further, the predicted state molten iron consumption quantity when the corresponding molten iron outputted by the molten iron prediction model is balanced and the predicted real-time molten iron consumption quantity corresponding to the scheduling plan are respectively obtained.
Further, the predicted amount of molten iron consumption obtained by the real-time state operation data of the blast furnace to be corrected can be input again, so that the predicted amount of state molten iron production is obtained, the predicted amount of state molten iron production is compared with the predicted amount of molten iron production obtained by the real-time state operation data of the blast furnace to be corrected, whether the current real-time operation state of the blast furnace to be corrected affects the molten iron balance can be judged, and if the difference between the predicted amount of state molten iron production and the predicted amount of molten iron production obtained by the real-time state operation data of the blast furnace to be corrected is larger than a preset value, the condition that the blast furnace equipment needs to be checked and maintained manually is indicated, so that the warning that the blast furnace equipment has faults is issued.
Step S106: according to the state molten iron consumption predicted quantity and the real-time molten iron consumption predicted quantity, calculating the predicted correction quantity of the molten iron of the blast furnace to be corrected, and further correcting the real-time molten iron consumption quantity of the blast furnace to be corrected.
As a preferable solution of this embodiment, the calculating a predicted correction amount of the blast furnace molten iron to be corrected according to the state molten iron consumption predicted amount and the real-time molten iron consumption predicted amount, and further correcting the real-time molten iron consumption amount of the blast furnace to be corrected specifically includes:
Calculating a predicted difference value between the predicted quantity of the state molten iron consumption and the real-time molten iron consumption according to the predicted quantity of the state molten iron consumption and the predicted quantity of the real-time molten iron consumption; splitting time intervals of preset unit time corresponding to the blast furnace to be corrected to obtain time periods of a plurality of preset intervals; and equally dividing the predicted difference value according to the number of the preset intervals to obtain a plurality of predicted correction amounts, so that each preset interval is equally divided with one predicted correction amount, and the real-time molten iron consumption of the blast furnace to be corrected is corrected.
In this embodiment, the average of the measured difference is performed according to the number of split time intervals in the preset unit time by the predicted difference value between the state molten iron consumption predicted amount and the real-time molten iron consumption predicted amount, so as to obtain a plurality of predicted correction amounts and allocate one predicted correction amount to each preset interval, so that the real-time molten iron consumption amount in the area is corrected in each preset interval, and the real-time molten iron consumption amount is corrected in the dimension of the preset unit time.
When the preset unit time is one month, the preset unit time can be divided into 30 intervals, namely one day represents one preset interval, and the value (measured difference/30) is sequentially increased to the real-time molten iron consumption in each preset interval by equally dividing the measured difference by 30 equal parts, so that the real-time molten iron consumption of the preset unit time is corrected after the increase is completed. It can be understood that the scheduling scheme can be further modified by modifying the difference between the state molten iron consumption predicted quantity and the real-time molten iron consumption predicted quantity in combination with the state operation data information of the blast furnace equipment, so that modification by only adopting a single requirement dimension of the historical molten iron data is avoided, the correctness and rationality of the modification of the whole molten iron scheduling plan are improved, and further the efficiency of molten iron scheduling is improved.
The implementation of the above embodiment has the following effects:
according to the technical scheme, the historical molten iron consumption and the historical molten iron production of each blast furnace in each preset unit time are obtained to calculate the molten iron balance probability of each blast furnace, the blast furnace to be corrected and the historical state operation data are further obtained through the molten iron balance probability, so that the state prediction model of the blast furnace to be corrected is built, the molten iron prediction model in the process of molten iron balance is further obtained and built, the molten iron consumption can be further corrected after the scheduling plan and the state operation data of blast furnace equipment are obtained in real time, the correction of the molten iron scheduling plan is carried out by combining the equipment state information, thereby ensuring the accuracy and the efficiency of molten iron scheduling, constructing the molten iron consumption models under different conditions, enabling molten iron scheduling to be more reasonable, simultaneously correcting the molten iron in a consumption end through the state molten iron consumption pre-measurement and the real-time molten iron consumption pre-measurement of the blast furnace, avoiding the equipment from being different due to excessive change before and after the correction in the actual production process, and improving the accuracy of the molten iron full scheduling process.
Example two
Referring to the figure, a molten iron scheduling plan correcting apparatus includes: a historical molten iron module 201, a historical status module 202, a molten iron balancing module 203, a prediction model module 204, a real-time scheduling module 205, and a correction module 206.
The historical molten iron module 201 is configured to obtain a historical molten iron consumption and a historical molten iron production of each blast furnace in each preset unit time, and calculate a molten iron balance probability of each blast furnace according to the historical molten iron consumption and the historical molten iron production; wherein the molten iron balance is a state when a difference between the molten iron consumption amount and the molten iron production amount is smaller than a preset ratio.
The history state module 202 is configured to obtain, when there is a blast furnace to be corrected with the molten iron balance probability smaller than a preset value, historical state operation data of equipment of the blast furnace to be corrected in each preset unit time, and construct a state prediction model of the equipment of the blast furnace to be corrected by combining corresponding historical molten iron consumption and historical molten iron throughput.
The molten iron balancing module 203 is configured to construct a molten iron prediction model corresponding to the blast furnace to be corrected when the molten iron is balanced according to the historical molten iron production amount of the blast furnace to be corrected when the molten iron is balanced in each preset unit time and the historical molten iron consumption amount corresponding to the molten iron balance in the preset unit time.
The prediction model module 204 is configured to obtain current real-time state operation data of the blast furnace to be corrected in real time, and calculate a prediction amount of the molten iron production through the state prediction model.
The real-time scheduling module 205 is configured to obtain, in real time, a current real-time scheduling plan of the blast furnace to be corrected, and obtain, by using the molten iron prediction model, a predicted amount of molten iron production and a real-time molten iron throughput as inputs, and a predicted amount of molten iron consumption and a predicted amount of real-time molten iron consumption corresponding to a state of molten iron balance output by the molten iron prediction model respectively; wherein the real-time scheduling plan includes a real-time molten iron production amount and a real-time molten iron consumption amount of the current blast furnace.
The correction module 206 is configured to calculate a predicted correction amount of the molten iron of the blast furnace to be corrected according to the predicted amount of molten iron consumption in the state and the predicted amount of molten iron consumption in real time, and further correct the real-time molten iron consumption of the blast furnace to be corrected.
As a preferable mode, the calculating the molten iron balance probability of each blast furnace according to the historical molten iron consumption and the historical molten iron production comprises the following specific steps:
through the historical molten iron consumption and the historical molten iron production of each blast furnace in each preset unit time, constructing a historical data matrix corresponding to each blast furnace;
Carrying out data cleaning on the historical data matrixes so that the corresponding lacking data of each blast furnace is removed in the same way in each preset unit time, and the preset unit time in each historical data matrix after the data cleaning is the same;
calculating molten iron allowance of each preset unit time through a historical data matrix after data cleaning; wherein, the calculation formula of the molten iron allowance is as follows:Iron re is the balance of molten iron>For historical molten iron production, +.>Is the historical molten iron consumption;
when the molten iron allowance is larger than the corresponding historical molten iron production quantity multiplied by a preset proportion value, the corresponding production state of the preset unit time is not reached to the molten iron balance;
when the molten iron allowance is smaller than or equal to the corresponding historical molten iron production quantity multiplied by a preset proportion value, the corresponding production state of the preset unit time is indicated to reach molten iron balance;
until each blast furnace obtains the production state of the blast furnace in each preset unit time, and the molten iron balance probability of each blast furnace is calculated.
Preferably, the method further comprises:
when no blast furnaces to be corrected with the molten iron balance probability smaller than a preset value exist, acquiring historical state operation data of equipment of each blast furnace in each preset unit time;
According to the historical molten iron consumption and the historical molten iron production of each blast furnace in each preset unit time, combining historical state operation data of equipment of each blast furnace in each preset unit time, and constructing a standard prediction model;
acquiring a scheduling plan of each blast furnace and real-time state operation data of equipment in real time, and respectively checking the scheduling plans of each blast furnace acquired in real time through the standard prediction model;
if the difference between the dispatching plan and the verification result is smaller than a preset range, the dispatching plan of the blast furnace is not required to be corrected;
and if the difference between the dispatching plan and the verification result is larger than a preset range, marking the blast furnace as the blast furnace to be corrected.
Preferably, the method further comprises:
correcting the scheduling plan of the blast furnace to be corrected, which is obtained by marking, according to the verification result so as to split the time intervals of the preset unit time corresponding to the blast furnace to be corrected, obtaining time periods of a plurality of preset intervals, dividing the standard molten iron consumption according to the proportion of the planned molten iron production in each preset interval to the total planned molten iron production in the preset unit time, and respectively distributing the divided standard molten iron consumption to the planned molten iron consumption in the corresponding preset interval, thereby finishing the correction of the blast furnace to be corrected, which is obtained by marking; the scheduling plan comprises a total planned molten iron consumption amount and a total planned molten iron production amount, and the verification result is a standard molten iron consumption amount of the marked blast furnace to be corrected, which is obtained through a standard prediction model.
As a preferable scheme, the calculating the predicted correction amount of the blast furnace molten iron to be corrected according to the predicted amount of the state molten iron consumption and the predicted amount of the real-time molten iron consumption, and further correcting the real-time molten iron consumption of the blast furnace to be corrected specifically comprises:
calculating a predicted difference value between the predicted quantity of the state molten iron consumption and the real-time molten iron consumption according to the predicted quantity of the state molten iron consumption and the predicted quantity of the real-time molten iron consumption;
splitting time intervals of preset unit time corresponding to the blast furnace to be corrected to obtain time periods of a plurality of preset intervals;
and equally dividing the predicted difference value according to the number of the preset intervals to obtain a plurality of predicted correction amounts, so that each preset interval is equally divided with one predicted correction amount, and the real-time molten iron consumption of the blast furnace to be corrected is corrected.
It will be clear to those skilled in the art that, for convenience and brevity of description, reference may be made to the corresponding process in the foregoing method embodiment for the specific working process of the above-described apparatus, which is not described herein again.
The implementation of the above embodiment has the following effects:
according to the technical scheme, the historical molten iron consumption and the historical molten iron production of each blast furnace in each preset unit time are obtained to calculate the molten iron balance probability of each blast furnace, the blast furnace to be corrected and the historical state operation data are further obtained through the molten iron balance probability, so that the state prediction model of the blast furnace to be corrected is built, the molten iron prediction model in the process of molten iron balance is further obtained and built, the molten iron consumption can be further corrected after the scheduling plan and the state operation data of blast furnace equipment are obtained in real time, the correction of the molten iron scheduling plan is carried out by combining the equipment state information, thereby ensuring the accuracy and the efficiency of molten iron scheduling, constructing the molten iron consumption models under different conditions, enabling molten iron scheduling to be more reasonable, simultaneously correcting the molten iron in a consumption end through the state molten iron consumption pre-measurement and the real-time molten iron consumption pre-measurement of the blast furnace, avoiding the equipment from being different due to excessive change before and after the correction in the actual production process, and improving the accuracy of the molten iron full scheduling process.
Example III
Correspondingly, the invention also provides a terminal device, comprising: a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the molten iron scheduling plan modification method of any one of the embodiments above when the computer program is executed.
The terminal device of this embodiment includes: a processor, a memory, a computer program stored in the memory and executable on the processor, and computer instructions. The processor, when executing the computer program, implements the steps of the first embodiment described above, such as steps S101 to S106 shown in fig. 1. Alternatively, the processor, when executing the computer program, performs the functions of the modules/units in the above-described apparatus embodiments, for example, the real-time scheduling module 205.
The computer program may be divided into one or more modules/units, which are stored in the memory and executed by the processor to accomplish the present invention, for example. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments are used for describing the execution of the computer program in the terminal device. For example, the real-time scheduling module 205 is configured to obtain, in real time, a current real-time scheduling plan of the blast furnace to be corrected, and obtain, by using the molten iron prediction model, a predicted amount of molten iron production and a real-time molten iron throughput as inputs, and obtain a predicted amount of molten iron consumption and a predicted amount of molten iron consumption corresponding to a state when the molten iron is balanced, which are output by the molten iron prediction model, respectively; wherein the real-time scheduling plan includes a real-time molten iron production amount and a real-time molten iron consumption amount of the current blast furnace.
The terminal equipment can be computing equipment such as a desktop computer, a notebook computer, a palm computer, a cloud server and the like. The terminal device may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the schematic diagram is merely an example of a terminal device and does not constitute a limitation of the terminal device, and may include more or less components than illustrated, or may combine some components, or different components, e.g., the terminal device may further include an input-output device, a network access device, a bus, etc.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the terminal device, and which connects various parts of the entire terminal device using various interfaces and lines.
The memory may be used to store the computer program and/or the module, and the processor may implement various functions of the terminal device by running or executing the computer program and/or the module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the mobile terminal, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Wherein the terminal device integrated modules/units may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as stand alone products. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
Example IV
Correspondingly, the invention further provides a computer readable storage medium, which comprises a stored computer program, wherein the equipment where the computer readable storage medium is located is controlled to execute the molten iron scheduling plan correction method according to any embodiment.
The foregoing embodiments have been provided for the purpose of illustrating the general principles of the present invention, and are not to be construed as limiting the scope of the invention. It should be noted that any modifications, equivalent substitutions, improvements, etc. made by those skilled in the art without departing from the spirit and principles of the present invention are intended to be included in the scope of the present invention.

Claims (10)

1. A molten iron scheduling plan modification method, comprising:
acquiring historical molten iron consumption and historical molten iron production of each blast furnace in each preset unit time respectively, and calculating the molten iron balance probability of each blast furnace according to the historical molten iron consumption and the historical molten iron production; wherein, the molten iron balance is a state when the difference between the molten iron consumption and the molten iron production is smaller than a preset ratio;
When the blast furnace to be corrected with the molten iron balance probability smaller than the preset value exists, acquiring historical state operation data of equipment of the blast furnace to be corrected in each preset unit time, and constructing a state prediction model of the equipment of the blast furnace to be corrected by combining corresponding historical molten iron consumption and historical molten iron production;
according to the historical molten iron production quantity of the blast furnace to be corrected when the molten iron is balanced in each preset unit time and the historical molten iron consumption quantity corresponding to the molten iron balance in the preset unit time, constructing a molten iron prediction model corresponding to the blast furnace to be corrected when the molten iron is balanced;
acquiring current real-time state operation data of the blast furnace to be corrected in real time, and calculating the predicted amount of the molten iron production through the state prediction model;
acquiring a current real-time scheduling plan of the blast furnace to be corrected in real time, and respectively obtaining a state molten iron consumption predicted value and a real-time molten iron consumption predicted value which are output by the molten iron prediction model and correspond to the molten iron balance by taking the molten iron production predicted value and the real-time molten iron production quantity as inputs through the molten iron prediction model; wherein the real-time scheduling plan comprises the real-time molten iron production quantity and the real-time molten iron consumption quantity of the current blast furnace;
According to the state molten iron consumption predicted quantity and the real-time molten iron consumption predicted quantity, calculating the predicted correction quantity of the molten iron of the blast furnace to be corrected, and further correcting the real-time molten iron consumption quantity of the blast furnace to be corrected.
2. The molten iron scheduling plan correcting method of claim 1, wherein the calculating the molten iron balance probability of each blast furnace based on the historic molten iron consumption and the historic molten iron production amount comprises:
through the historical molten iron consumption and the historical molten iron production of each blast furnace in each preset unit time, constructing a historical data matrix corresponding to each blast furnace;
carrying out data cleaning on the historical data matrixes so that the corresponding lacking data of each blast furnace is removed in the same way in each preset unit time, and the preset unit time in each historical data matrix after the data cleaning is the same;
calculating molten iron allowance of each preset unit time through a historical data matrix after data cleaning; wherein, the calculation formula of the molten iron allowance is as follows:Iron re is the balance of molten iron>For historical molten iron production, +.>Is the historical molten iron consumption;
when the molten iron allowance is larger than the corresponding historical molten iron production quantity multiplied by a preset proportion value, the corresponding production state of the preset unit time is not reached to the molten iron balance;
When the molten iron allowance is smaller than or equal to the corresponding historical molten iron production quantity multiplied by a preset proportion value, the corresponding production state of the preset unit time is indicated to reach molten iron balance;
until each blast furnace obtains the production state of the blast furnace in each preset unit time, and the molten iron balance probability of each blast furnace is calculated.
3. The molten iron scheduling plan correcting method of claim 1, further comprising:
when no blast furnaces to be corrected with the molten iron balance probability smaller than a preset value exist, acquiring historical state operation data of equipment of each blast furnace in each preset unit time;
according to the historical molten iron consumption and the historical molten iron production of each blast furnace in each preset unit time, combining historical state operation data of equipment of each blast furnace in each preset unit time, and constructing a standard prediction model;
acquiring a scheduling plan of each blast furnace and real-time state operation data of equipment in real time, and respectively checking the scheduling plans of each blast furnace acquired in real time through the standard prediction model;
if the difference between the dispatching plan and the verification result is smaller than the preset range, the dispatching plan of the blast furnace is not required to be corrected;
And if the difference between the dispatching plan and the verification result is larger than a preset range, marking the blast furnace as the blast furnace to be corrected.
4. A molten iron scheduling plan correcting method according to claim 3, further comprising:
correcting the scheduling plan of the blast furnace to be corrected, which is obtained by marking, according to the verification result so as to split the time intervals of the preset unit time corresponding to the blast furnace to be corrected, obtaining time periods of a plurality of preset intervals, dividing the standard molten iron consumption according to the proportion of the planned molten iron production in each preset interval to the total planned molten iron production in the preset unit time, and respectively distributing the divided standard molten iron consumption to the planned molten iron consumption in the corresponding preset interval, thereby finishing the correction of the blast furnace to be corrected, which is obtained by marking; the scheduling plan comprises a total planned molten iron consumption amount and a total planned molten iron production amount, and the verification result is a standard molten iron consumption amount of the marked blast furnace to be corrected, which is obtained through a standard prediction model.
5. The method for correcting a molten iron scheduling plan according to claim 1, wherein the calculating of the predicted correction amount of the molten iron of the blast furnace to be corrected based on the predicted amount of molten iron consumption in the state and the predicted amount of molten iron consumption in real time, and the correcting of the real-time molten iron consumption of the blast furnace to be corrected specifically comprises:
Calculating a predicted difference value between the predicted quantity of the state molten iron consumption and the real-time molten iron consumption according to the predicted quantity of the state molten iron consumption and the predicted quantity of the real-time molten iron consumption;
splitting time intervals of preset unit time corresponding to the blast furnace to be corrected to obtain time periods of a plurality of preset intervals;
and equally dividing the predicted difference value according to the number of the preset intervals to obtain a plurality of predicted correction amounts, so that each preset interval is equally divided with one predicted correction amount, and the real-time molten iron consumption of the blast furnace to be corrected is corrected.
6. A molten iron scheduling plan correcting apparatus, comprising: the system comprises a historical molten iron module, a historical state module, a molten iron balancing module, a prediction model module, a real-time scheduling module and a correction module;
the historical molten iron module is used for acquiring the historical molten iron consumption and the historical molten iron production of each blast furnace in each preset unit time respectively, and calculating the molten iron balance probability of each blast furnace according to the historical molten iron consumption and the historical molten iron production; wherein, the molten iron balance is a state when the difference between the molten iron consumption and the molten iron production is smaller than a preset ratio;
the history state module is used for acquiring history state operation data of equipment of the blast furnace to be corrected in each preset unit time when the blast furnace to be corrected with the molten iron balance probability smaller than a preset value exists, and constructing a state prediction model of the equipment of the blast furnace to be corrected by combining corresponding historical molten iron consumption and historical molten iron production;
The molten iron balancing module is used for constructing a molten iron prediction model corresponding to the blast furnace to be corrected when the molten iron is balanced according to the historical molten iron production quantity of the blast furnace to be corrected when the molten iron is balanced in each preset unit time and the historical molten iron consumption quantity corresponding to the molten iron balance in the preset unit time;
the prediction model module is used for acquiring current real-time state operation data of the blast furnace to be corrected in real time, and calculating the prediction amount of the molten iron production through the state prediction model;
the real-time scheduling module is used for acquiring a current real-time scheduling plan of the blast furnace to be corrected in real time, taking the predicted quantity of molten iron production and the real-time molten iron production as inputs through the molten iron prediction model, and respectively obtaining the predicted quantity of molten iron consumption and the predicted quantity of real-time molten iron consumption, which are output by the molten iron prediction model and correspond to the state of molten iron balance; wherein the real-time scheduling plan comprises the real-time molten iron production quantity and the real-time molten iron consumption quantity of the current blast furnace;
the correction module is used for calculating the predicted correction amount of the blast furnace molten iron to be corrected according to the state molten iron consumption predicted amount and the real-time molten iron consumption predicted amount, and further correcting the real-time molten iron consumption amount of the blast furnace to be corrected.
7. The molten iron scheduling plan correcting apparatus of claim 6, further comprising:
when no blast furnaces to be corrected with the molten iron balance probability smaller than a preset value exist, acquiring historical state operation data of equipment of each blast furnace in each preset unit time;
according to the historical molten iron consumption and the historical molten iron production of each blast furnace in each preset unit time, combining historical state operation data of equipment of each blast furnace in each preset unit time, and constructing a standard prediction model;
acquiring a scheduling plan of each blast furnace and real-time state operation data of equipment in real time, and respectively checking the scheduling plans of each blast furnace acquired in real time through the standard prediction model;
if the difference between the dispatching plan and the verification result is smaller than a preset range, the dispatching plan of the blast furnace is not required to be corrected;
and if the difference between the dispatching plan and the verification result is larger than a preset range, marking the blast furnace as the blast furnace to be corrected.
8. The molten iron scheduling plan correcting method of claim 7, further comprising:
correcting the scheduling plan of the blast furnace to be corrected, which is obtained by marking, according to the verification result so as to split the time intervals of the preset unit time corresponding to the blast furnace to be corrected, obtaining time periods of a plurality of preset intervals, dividing the standard molten iron consumption according to the proportion of the planned molten iron production in each preset interval to the total planned molten iron production in the preset unit time, and respectively distributing the divided standard molten iron consumption to the planned molten iron consumption in the corresponding preset interval, thereby finishing the correction of the blast furnace to be corrected, which is obtained by marking; the scheduling plan comprises a total planned molten iron consumption amount and a total planned molten iron production amount, and the verification result is a standard molten iron consumption amount of the marked blast furnace to be corrected, which is obtained through a standard prediction model.
9. A terminal device comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the molten iron scheduling plan modification method according to any one of claims 1 to 5 when executing the computer program.
10. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored computer program, wherein the computer program when run controls a device in which the computer readable storage medium is located to execute the molten iron scheduling plan correcting method according to any one of claims 1 to 5.
CN202310526833.0A 2023-05-09 2023-05-09 Molten iron scheduling plan correction method, molten iron scheduling plan correction device, molten iron scheduling plan correction equipment and storage medium Active CN116596231B (en)

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