CN117236757A - Method, device, equipment and storage medium for determining molten iron quality evaluation result - Google Patents
Method, device, equipment and storage medium for determining molten iron quality evaluation result Download PDFInfo
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- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 title claims abstract description 814
- 229910052742 iron Inorganic materials 0.000 title claims abstract description 407
- 238000013441 quality evaluation Methods 0.000 title claims abstract description 58
- 238000000034 method Methods 0.000 title claims abstract description 53
- MBMLMWLHJBBADN-UHFFFAOYSA-N Ferrous sulfide Chemical compound [Fe]=S MBMLMWLHJBBADN-UHFFFAOYSA-N 0.000 claims abstract description 97
- 102000005298 Iron-Sulfur Proteins Human genes 0.000 claims abstract description 97
- 108010081409 Iron-Sulfur Proteins Proteins 0.000 claims abstract description 97
- XWHPIFXRKKHEKR-UHFFFAOYSA-N iron silicon Chemical compound [Si].[Fe] XWHPIFXRKKHEKR-UHFFFAOYSA-N 0.000 claims abstract description 95
- 229910052710 silicon Inorganic materials 0.000 claims abstract description 68
- 239000010703 silicon Substances 0.000 claims abstract description 68
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 claims abstract description 66
- 229910052717 sulfur Inorganic materials 0.000 claims abstract description 66
- 239000011593 sulfur Substances 0.000 claims abstract description 66
- 238000011156 evaluation Methods 0.000 claims description 109
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 claims description 67
- 238000004590 computer program Methods 0.000 claims description 16
- 238000001514 detection method Methods 0.000 claims description 15
- 230000002159 abnormal effect Effects 0.000 claims description 13
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- 230000000875 corresponding effect Effects 0.000 abstract description 53
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- 238000010079 rubber tapping Methods 0.000 description 18
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- 238000003908 quality control method Methods 0.000 description 10
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- 238000003723 Smelting Methods 0.000 description 2
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- 238000009628 steelmaking Methods 0.000 description 2
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 description 1
- 229910000831 Steel Inorganic materials 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 229910052785 arsenic Inorganic materials 0.000 description 1
- RQNWIZPPADIBDY-UHFFFAOYSA-N arsenic atom Chemical compound [As] RQNWIZPPADIBDY-UHFFFAOYSA-N 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 229910052802 copper Inorganic materials 0.000 description 1
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- 239000011521 glass Substances 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
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- 239000000203 mixture Substances 0.000 description 1
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- 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
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- Refinement Of Pig-Iron, Manufacture Of Cast Iron, And Steel Manufacture Other Than In Revolving Furnaces (AREA)
Abstract
The invention discloses a method, a device, equipment and a storage medium for determining a molten iron quality evaluation result. The method comprises the following steps: acquiring a molten iron temperature data set, a molten iron silicon content data set and a molten iron sulfur content data set corresponding to a molten iron sample; and determining a molten iron quality evaluation result according to the molten iron temperature data set, the molten iron silicon content data set and the molten iron sulfur content data set. According to the technical scheme, the quantities of two key elements including silicon and sulfur in the molten iron component can be correlated with the temperature, the quality of the molten iron can be comprehensively evaluated, and the accuracy of the long-time operation can be improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of molten iron quality evaluation, in particular to a method, a device, equipment and a storage medium for determining a molten iron quality evaluation result.
Background
The blast furnace operation technology generally depends on manual experience, and is judged by combining with some operation parameters, so that the subjective weight of a person is large. Currently, the accepted operation technology evaluation mainly uses the quality control level of molten iron to reversely push the operation level of operators. The quality of the blast furnace molten iron is generally determined by parameters such as molten iron composition, temperature and the like. The requirements of each iron and steel enterprise on quality are different, and the control standards of molten iron components are also different. The quality of molten iron is generally measured according to tapping of each furnace, and the common practice is to sample and detect components per furnace and detect the temperature of the molten iron in the tapping process, and the quality of the molten iron is measured by using specific values of the components and specific values of the temperature. Regarding the quality of molten iron, the silicon content, sulfur content and temperature in the molten iron are controlled by smelting means; the trace elements such as copper, phosphorus, arsenic and the like in the molten iron are produced by the furnace burden brought into a blast furnace for complete reduction. And each quality index of the molten iron is in a control range, namely, the quality of the molten iron is better, and the quality control of the molten iron is poorer without being in the control range.
The existing method for evaluating the quality of molten iron lacks continuity, the tapping time of one heat is generally 2-3 hours, the representativeness of a plurality of values in a period of such a long period is insufficient, in many cases, the temperature fluctuation of the molten iron in the early, middle and later period of tapping reaches more than 30 ℃, the fluctuation of the silicon and sulfur content in the molten iron can also reach more than 50 percent, the quality evaluation distortion of the molten iron is caused, and the blast furnace adjustment cannot be guided better. Under the prior art condition, the quality of the molten iron is evaluated, either the reference molten iron component or the reference molten iron temperature is adopted, and the evaluation method is too monotonous and is not enough to measure the real molten iron quality level. The temperature and the components of the molten iron are related quality indexes, and a method for evaluating the quality by combining the relevance of the molten iron is not accurate at present.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a storage medium for determining a molten iron quality evaluation result, so that the quantities of two key elements including silicon and sulfur in a molten iron component can be correlated with temperature, the molten iron quality can be comprehensively evaluated, and the accuracy of long-time operation can be improved.
According to an aspect of the present invention, there is provided a molten iron quality evaluation result determining method including:
Acquiring a molten iron temperature data set, a molten iron silicon content data set and a molten iron sulfur content data set corresponding to a molten iron sample;
and determining a molten iron quality evaluation result according to the molten iron temperature data set, the molten iron silicon content data set and the molten iron sulfur content data set.
According to another aspect of the present invention, there is provided an apparatus for determining a quality evaluation result of molten iron, the apparatus including:
the acquisition module is used for acquiring a molten iron temperature data set, a molten iron silicon content data set and a molten iron sulfur content data set corresponding to the molten iron sample;
the determining module is used for determining a molten iron quality evaluation result according to the molten iron temperature data set, the molten iron silicon content data set and the molten iron sulfur content data set.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the molten iron quality evaluation result determining method according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the molten iron quality evaluation result determining method according to any one of the embodiments of the present invention when executed.
According to the embodiment of the invention, the molten iron quality evaluation result is determined according to the molten iron temperature data set, the molten iron silicon content data set and the molten iron sulfur content data set by acquiring the molten iron temperature data set, the molten iron silicon content data set and the molten iron sulfur content data set corresponding to the molten iron sample. According to the technical scheme, the quantities of two key elements including silicon and sulfur in the molten iron component can be correlated with the temperature, the quality of the molten iron can be comprehensively evaluated, and the accuracy of the long-time operation can be improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a molten iron quality evaluation result determining method in an embodiment of the present invention;
fig. 2 is a schematic structural view of a molten iron quality evaluation result determining apparatus in an embodiment of the present invention;
fig. 3 is a schematic structural view of an electronic device implementing a method for determining a quality evaluation result of molten iron according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a method for determining a quality evaluation result of molten iron according to an embodiment of the present invention, where the method may be performed by a device for determining a quality evaluation result of molten iron according to an embodiment of the present invention, and the device may be implemented in software and/or hardware, as shown in fig. 1, and the method specifically includes the steps of:
s101, acquiring a molten iron temperature data set, a molten iron silicon content data set and a molten iron sulfur content data set corresponding to a molten iron sample.
In the present embodiment, the molten iron sample may be a sample for performing quality evaluation of molten iron collected per heat during tapping of a blast furnace.
The molten iron temperature data set can be a set formed by a plurality of temperature data corresponding to the collected molten iron sample, the molten iron silicon content data set can be a set formed by a plurality of silicon content data corresponding to the collected molten iron sample, and the molten iron sulfur content data set can be a set formed by a plurality of sulfur content data corresponding to the collected molten iron sample.
In the actual operation process, the tapping of the tap hole is started every furnace, and the molten iron temperature data, the synchronous measurement of the silicon content data and the sulfur content data of the molten iron sample can be measured every 3 minutes to obtain a molten iron temperature data set, a molten iron silicon content data set and a molten iron sulfur content data set corresponding to the molten iron sample.
S102, determining a molten iron quality evaluation result according to the molten iron temperature data set, the molten iron silicon content data set and the molten iron sulfur content data set.
The molten iron quality evaluation result may be obtained by evaluating the molten iron quality according to the correlation between the amounts of two key elements including silicon and sulfur in the molten iron components and the molten iron temperature.
Specifically, the quality of the molten iron is comprehensively evaluated according to the molten iron temperature data set, the molten iron silicon content data set and the molten iron sulfur content data set, and a molten iron quality evaluation result is obtained.
According to the embodiment of the invention, the molten iron quality evaluation result is determined according to the molten iron temperature data set, the molten iron silicon content data set and the molten iron sulfur content data set by acquiring the molten iron temperature data set, the molten iron silicon content data set and the molten iron sulfur content data set corresponding to the molten iron sample. According to the technical scheme, the quantities of two key elements including silicon and sulfur in the molten iron component can be correlated with the temperature, the quality of the molten iron can be comprehensively evaluated, and the accuracy of the long-time operation can be improved.
Optionally, obtaining a molten iron temperature data set, a molten iron silicon content data set and a molten iron sulfur content data set corresponding to the molten iron sample includes:
And obtaining a molten iron sample.
Specifically, in the tapping process of the blast furnace, a tap hole is opened every time the furnace passes to take out a molten iron sample.
And recording the corresponding start time and end time when the molten iron sample is acquired.
The start time may be a time when the tapping of the molten iron sample is started every time the tapping hole is opened for the heat, and the end time may be a time when the operation of tapping the molten iron sample is ended.
Specifically, the start time when the tapping of the molten iron sample is started every time the tapping hole is opened in the heat is recorded, and the end time is recorded, and may be recorded as Tn.
The target time period is determined from the start time and the end time.
The target time period may be a time period between a start time and an end time, and in particular, the target time period may be a time period between T1 and Tn. Illustratively, the target time period may be 2 hours long.
And acquiring the target quantity of molten iron temperature data, the target quantity of molten iron silicon content data and the target quantity of molten iron sulfur content data in a target time period based on a preset acquisition period.
The preset collection period may be a collection period preset by a user according to an actual situation, for example, may be 3 minutes, which is not limited in this embodiment.
The target quantity can be the quantity of collected molten iron temperature data, the quantity of molten iron silicon content data and the quantity of molten iron sulfur content data.
The target number is illustratively determined according to the duration of the target time period and a preset acquisition period.
In the actual operation process, the tapping of the tap hole is started every furnace, the molten iron temperature of a molten iron sample can be collected every 3 minutes, the silicon content and the sulfur content of the molten iron can be synchronously collected, and the obtained target quantity of molten iron temperature data can be expressed as: PT1, PT2, PT3, PTx, PTn; meanwhile, the silicon content data of the target quantity of molten iron can be expressed as: siT1, siT2, siT3,/no SiTx, siTn; meanwhile, the sulfur content data of the target quantity of molten iron can be expressed as: ST1, ST2, ST3,..stx,..stn. Where Tx may represent a time value at a midpoint in the target period, for example, the duration of the target period may be 2 hours, and Tx may be a time point of exactly 1 hour in 2 hours.
Determining a molten iron temperature data set, a molten iron silicon content data set and a molten iron sulfur content data set corresponding to the molten iron sample according to the target number of molten iron temperature data, the target number of molten iron silicon content data and the target number of molten iron sulfur content data.
Optionally, the molten iron temperature data set includes a first molten iron temperature data subset and a second molten iron temperature data subset, the molten iron silicon content data set includes a first molten iron silicon content data subset and a second molten iron silicon content data subset, and the molten iron sulfur content data set includes a first molten iron sulfur content data subset and a second molten iron sulfur content data subset.
In this embodiment, the molten iron temperature data set, the molten iron silicon content data set and the molten iron sulfur content data set corresponding to the molten iron sample may be all divided into two parts, and the dividing rule may be that the molten iron temperature data before (including Tx) in the molten iron temperature data set is divided into a first molten iron temperature data subset, the molten iron temperature data after Tx in the molten iron temperature data set is divided into a second molten iron temperature data subset, the molten iron silicon content data before (including Tx) in the molten iron silicon content data set is divided into a first molten iron silicon content data subset, the molten iron silicon content data after Tx in the molten iron silicon content data set is divided into a second molten iron silicon content data subset, the molten iron sulfur content data before (including Tx) in the molten iron sulfur content data set is divided into a first molten iron sulfur content data subset, and the molten iron sulfur content data after Tx in the molten iron sulfur content data set is divided into a second molten iron sulfur content data subset.
Determining a molten iron quality evaluation result according to the molten iron temperature data set, the molten iron silicon content data set and the molten iron sulfur content data set, comprising:
and acquiring a first molten iron temperature average value corresponding to the first molten iron temperature data subset and a second molten iron temperature average value corresponding to the second molten iron temperature data subset.
The first molten iron temperature average value may be an average value obtained by adding up and averaging all molten iron temperature data in the first molten iron temperature data subset, and the second molten iron temperature average value may be an average value obtained by adding up and averaging all molten iron temperature data in the second molten iron temperature data subset.
The calculation method of the first molten iron temperature average PTa may be expressed as follows: pta= (pt1+pt2+pt3+) +ptx/x, the calculation method of the second molten iron temperature average PTb may be expressed as follows: ptb= (ptx+1+ptx+2+), +ptn)/(n-x).
And determining a molten iron temperature evaluation value according to the first molten iron temperature average value and the second molten iron temperature average value.
In this embodiment, a coordinate system may be established, with a horizontal X-axis as a time axis, an origin of the X-axis being 0 point (a start time corresponding to a molten iron sample), and a time scale of every 3 minutes on the X-axis; the vertical Y-axis is taken as a temperature axis, the temperature of molten iron at the intersection of the Y-axis and the X-axis is regulated to 1450 ℃, when the temperature of molten iron is taken as 0 point, namely the temperature of molten iron is 1450 ℃, the value of the temperature value in the Y-axis is 0, and the scale of the Y-axis is a scale unit according to 3 ℃. Wherein, the intersection point of the molten iron temperature on the Y axis and the X axis is set to 1450 ℃, and the temperature is defined according to the actual production of the blast furnace. Definition principle: the normal temperature of the blast furnace molten iron is 1450-1550 ℃, the temperature is lower than 1450 ℃, the quality of the molten iron is seriously abnormal and higher than 1550 ℃, the quality of the molten iron also belongs to an abnormally high state, the temperature difference between the regions is 100 ℃, and the tapping time of a single furnace time of the blast furnace is generally about 100-150 minutes. And a coordinate system is established according to the rule, so that the data graph is convenient to apply and guide production practice. Drawing a horizontal line of the molten iron temperature PTa value in a time period before (including Tx) the primary heat Tx on a Y axis, and drawing a horizontal line of the molten iron temperature PTb value in a time period after the primary heat Tx, connecting midpoints of the two horizontal lines to obtain a temperature line before and after the primary heat tapping process, and taking the slope between the temperature line and an X-axis time axis as a molten iron temperature evaluation value of the primary heat.
In the actual production process, the evaluation value of the molten iron temperature is a negative value, which indicates that the molten iron temperature is descending in the tapping process; the evaluation value of the molten iron temperature is a positive value, which indicates that the molten iron temperature of the heat is upward; the evaluation value of the molten iron temperature is equal to 0, which indicates that the molten iron temperature of the heat is stable and the temperature is unchanged.
And obtaining a first molten iron silicon content average value corresponding to the first molten iron silicon content data subset and a second molten iron silicon content average value corresponding to the second molten iron silicon content data subset.
The first molten iron silicon content average value may be an average value obtained by averaging all molten iron silicon content data in the first molten iron silicon content data subset, and the second molten iron silicon content average value may be an average value obtained by averaging all molten iron silicon content data in the second molten iron silicon content data subset.
And determining the silicon content evaluation value of the molten iron according to the silicon content average value of the first molten iron and the silicon content average value of the second molten iron.
The silicon content of the blast furnace molten iron is the silicon content ratio in the molten iron components, generally 0.1-1.0%, and more than 1.0% belongs to the production period of special furnace conditions, the silicon content of the molten iron is amplified 10000 times, and the value is amplified and is in the range of 10-100. Drawing a first molten iron silicon content average value horizontal line amplified 10000 times in a period before (including Tx) the current heat Tx on a Y axis, and drawing a second molten iron silicon content average value horizontal line amplified 10000 times in a period after the current heat Tx, connecting the midpoints of the two horizontal lines to obtain a silicon content line before and after the current heat tapping process, and taking the slope between the silicon content line and an X axis time axis as a molten iron silicon content evaluation value of the heat.
In the actual production process, the silicon content evaluation value of the molten iron is a negative value, which indicates that the silicon content of the molten iron is descending, the silicon content evaluation value of the molten iron is a positive value, which indicates that the silicon content of the molten iron is ascending, and the silicon content evaluation value of the molten iron is 0, which indicates that the silicon content of the molten iron is unchanged.
And obtaining a first molten iron sulfur content average value corresponding to the first molten iron sulfur content data subset and a second molten iron sulfur content average value corresponding to the second molten iron sulfur content data subset.
The first molten iron sulfur content average value may be an average value obtained by averaging all molten iron sulfur content data in the first molten iron sulfur content data subset, and the second molten iron sulfur content average value may be an average value obtained by averaging all molten iron sulfur content data in the second molten iron sulfur content data subset.
And determining the sulfur content evaluation value of the molten iron according to the first molten iron sulfur content average value and the second molten iron sulfur content average value.
The sulfur content of the blast furnace molten iron is expressed as the sulfur content ratio of the molten iron components, generally 0.005% -0.070%, more than 1.0% belongs to the production period of special furnace conditions, the sulfur content of the molten iron is amplified by 100000 times, and the value is amplified and then is in the range of 5-70. Drawing a first average horizontal line of the sulfur content of molten iron amplified 100000 times in a time period before (including Tx) of the heat Tx in a Y-axis, and drawing a second average horizontal line of the sulfur content of molten iron amplified 100000 times in a time period after the heat Tx, connecting the midpoints of the two horizontal lines to obtain a sulfur content line before and after the heat tapping process, and taking the slope between the sulfur content line and an X-axis time axis as an evaluation value of the sulfur content of molten iron of the heat.
In the actual production process, the evaluation value of the sulfur content of the molten iron is negative, which indicates that the sulfur content of the molten iron is descending, the evaluation value of the sulfur content of the molten iron is positive, which indicates that the sulfur content of the molten iron is ascending, and the evaluation value of the sulfur content of the molten iron is 0, which indicates that the sulfur content of the molten iron is unchanged.
And determining a molten iron quality evaluation result according to the molten iron temperature evaluation value, the molten iron silicon content evaluation value and the molten iron sulfur content evaluation value.
In the present embodiment, the molten iron temperature evaluation value may be represented by K1, the molten iron silicon content evaluation value may be represented by K2, and the molten iron sulfur content evaluation value may be represented by K3. In the actual operation process, a trend linear equation corresponding to the molten iron temperature, the molten iron silicon content and the molten iron sulfur content can be obtained in a coordinate system: pt=k1t+b1, si=k2t+b2, s=k3t+b3, where b1 represents the molten iron temperature at the start time point, b2 represents the molten iron silicon content at the start time point, and b3 represents the molten iron sulfur content at the start time point. In the coordinate system, K1, K2, K3 are usually less than 1, and if any value is greater than 1, the system will indicate that the quality index is abnormal.
Optionally, determining the molten iron quality evaluation result according to the molten iron temperature evaluation value, the molten iron silicon content evaluation value and the molten iron sulfur content evaluation value includes:
And determining a first parameter according to the molten iron temperature evaluation value and the molten iron silicon content evaluation value.
In this embodiment, the first parameter may be a result value of comparing the silicon content evaluation value of the molten iron with the evaluation value of the temperature of the molten iron, and may be represented by K2/K1.
And determining a second parameter according to the molten iron temperature evaluation value and the molten iron sulfur content evaluation value.
In this embodiment, the second parameter may be a result value of comparing the sulfur content evaluation value of the molten iron with the evaluation value of the molten iron temperature, and may be represented by K3/K1.
And determining a molten iron quality evaluation result according to the first parameter and the second parameter.
Optionally, determining the molten iron quality evaluation result according to the first parameter and the second parameter includes:
and determining a first evaluation result between the molten iron temperature and the silicon content of the molten iron according to the first parameter.
The first evaluation result may be an evaluation result of matching between the molten iron temperature and the silicon content.
And determining a second evaluation result between the temperature of the molten iron and the sulfur content of the molten iron according to the second parameter.
The second evaluation result may be a molten iron temperature and sulfur content matching evaluation result.
And determining a molten iron quality evaluation result according to the first evaluation result and the second evaluation result.
Optionally, determining a first evaluation result between the molten iron temperature and the silicon content of the molten iron according to the first parameter includes:
If the first parameter is larger than a first preset value, determining to detect the abnormality, and generating detection abnormality prompt information.
The first preset value may be a value preset by a user according to an actual situation, which is not limited in this embodiment. The first preset value may be, for example, 1.
Specifically, if K2/K1 is greater than 1, the detection of the occurrence of the abnormality is indicated, the system generates detection abnormality prompt information, and corresponding prompt is made.
If the first parameter is equal to a first preset value, determining that the first evaluation result is: the corresponding relation between the temperature of the molten iron and the silicon content of the molten iron is excellent, and the silicon content of the molten iron is controlled to be A level.
Specifically, when k2/k1=1, the correspondence relationship between the molten iron temperature and the silicon content is excellent, the molten iron silicon content control is defined as a class a (such an elaborate heat as quality control rarely occurs basically).
If the first parameter is smaller than the first preset value and larger than the second preset value, determining that the first evaluation result is: the corresponding relation between the temperature of the molten iron and the silicon content of the molten iron is good, and the silicon content of the molten iron is controlled to be B grade.
The second preset value may be a value preset by the user according to an actual situation, which is not limited in this embodiment. The second preset value may be, for example, 0.7.
Specifically, as the K2/K1 value is changed, the matching property of the molten iron temperature and the silicon content is gradually weakened, and the molten iron quality is gradually changed. When the K2/K1 value is in the range of 0.7-1.0, the quality control of molten iron is better, and the silicon content of the molten iron is defined as B level.
If the first parameter is smaller than or equal to the second preset value and larger than the third preset value, determining that the first evaluation result is: the corresponding relation between the temperature of the molten iron and the silicon content of the molten iron is that the silicon content of the molten iron is controlled to be C level.
The third preset value may be a value preset by the user according to an actual situation, which is not limited in this embodiment. The third preset value may be, for example, 0.4.
Specifically, when the K2/K1 value is in the interval of 0.4-0.7 (including 0.7), the quality control is generally defined as the silicon content control of molten iron is C level.
If the first parameter is smaller than or equal to the third preset value and larger than the fourth preset value, determining that the first evaluation result is: the corresponding relation between the temperature of the molten iron and the silicon content of the molten iron is poor, and the silicon content of the molten iron is controlled to be grade D.
The fourth preset value may be a value preset by the user according to an actual situation, which is not limited in this embodiment. The fourth preset value may be, for example, 0.
Specifically, when the K2/K1 value is smaller than or equal to 0.4 and larger than 0, the quality control of molten iron is poor, the silicon-containing control of molten iron is defined as grade D, and the system prompts operators to pay attention to adjustment.
If the first parameter is equal to the fourth preset value, determining that the first evaluation result is: the silicon content of the molten iron is controlled stably.
Specifically, if the value of K2/K1 is 0, that is, the value of K2 is 0, it is indicated that the silicon content of the molten iron is unchanged.
If the first parameter is smaller than the fourth preset value, determining that the molten iron temperature and the silicon content of the molten iron run in the opposite direction, and generating abnormal operation prompt information.
Specifically, when the K2/K1 value is a negative value, the molten iron temperature and the silicon content of the molten iron are indicated to run in the opposite direction, and the system prompts that the operation is abnormal.
Optionally, determining a second evaluation result between the molten iron temperature and the molten iron sulfur content according to the second parameter includes:
if the second parameter is smaller than the fifth preset value, determining that the detection is abnormal, and generating detection abnormality prompt information.
The fifth preset value may be a value preset by the user according to an actual situation, which is not limited in this embodiment. The fifth preset value may be, for example, -1.
Specifically, if K3/K1 is smaller than-1, the detection of the occurrence of the abnormality is indicated, the system generates detection abnormality prompt information, and corresponding prompt is made.
If the second parameter is equal to the fifth preset value, determining that the second evaluation result is: the corresponding relation between the temperature of molten iron and the sulfur content of molten iron is excellent, and the sulfur content of molten iron is controlled to be A level.
Specifically, when k3/k1= -1, the correspondence between the molten iron temperature and the molten iron sulfur content is the best, the molten iron sulfur is defined as class a (such a good quality control result is rarely generated in general).
If the second parameter is greater than the fifth preset value and less than the sixth preset value, determining that the second evaluation result is: the corresponding relation between the temperature of molten iron and the sulfur content of molten iron is good, and the sulfur content of molten iron is controlled to be B grade.
The sixth preset value may be a value preset by the user according to an actual situation, which is not limited in this embodiment. The sixth preset value may be, for example, -0.7.
Specifically, as the K3/K1 value is changed, the matching property of the molten iron temperature and the sulfur content is gradually weakened, and the molten iron quality is controlled to be gradually changed; when the K3/K1 value is within the range of-0.7 to-1.0, the quality control of molten iron is better, and the sulfur content of the molten iron is defined as B level.
If the second parameter is greater than or equal to the sixth preset value and less than the seventh preset value, determining that the second evaluation result is: the corresponding relation between the temperature of the molten iron and the sulfur content of the molten iron is that the sulfur content of the molten iron is controlled to be C level.
The seventh preset value may be a value preset by the user according to an actual situation, which is not limited in this embodiment. The seventh preset value may be, for example, -0.4.
Specifically, when the K3/K1 value is within the interval of-0.4 to-0.7 (including-0.7), the quality control generally defines that the molten iron contains sulfur and is controlled as a C level.
If the second parameter is greater than or equal to the seventh preset value and less than the eighth preset value, determining that the second evaluation result is: the corresponding relation between the temperature of molten iron and the sulfur content of molten iron is a difference, and the sulfur content of molten iron is controlled to be grade D.
The eighth preset value may be a value preset by the user according to an actual situation, which is not limited in this embodiment. The eighth preset value may be, for example, 0.
Specifically, when the K3/K1 value is more than or equal to-0.4 and less than 0, the quality control of molten iron is poor, the sulfur-containing control of the molten iron is defined as grade D, and the system prompts an operator to pay attention to adjustment.
If the second parameter is equal to the eighth preset value, determining that the second evaluation result is: the sulfur content of the molten iron is controlled stably.
Specifically, if the K3/K1 value is 0, that is, the K3 value is 0, the sulfur content of the molten iron is unchanged.
If the second parameter is larger than the eighth preset value, determining that the molten iron temperature and the molten iron sulfur content run in the opposite direction, and generating abnormal operation prompt information.
Specifically, when the K3/K1 value is a positive value, the molten iron temperature and the sulfur content of the molten iron are indicated to run in the opposite direction, and the system prompts that the operation is abnormal.
According to the technical scheme provided by the embodiment of the invention, the quality of the molten iron is analyzed and judged by utilizing the corresponding relation between the temperature and the silicon and sulfur which are key elements of the molten iron, so that the accuracy of long-time operation can be improved. In the technical scheme, the quality of the molten iron is evaluated by corresponding relations between the temperatures of the molten iron of different grades and the silicon and sulfur contents of the molten iron, so that the method is a relatively comprehensive and feasible molten iron quality evaluation system. The evaluation system can prompt operators of the blast furnace adjusting direction according to the evaluation rule, and from the viewpoint of production practice, the application of the system realizes the great improvement of the quality stability of molten iron, plays a positive role in stable consumption of steelmaking, can greatly reduce the steelmaking smelting cost, greatly reduces the fluctuation interval of molten iron components of the blast furnace, and provides a better guiding scheme for the forward running of the blast furnace.
Example two
Fig. 2 is a schematic structural view of a molten iron quality evaluation result determining apparatus in an embodiment of the present invention. The embodiment may be applicable to the case of determining the quality evaluation result of molten iron, and the device may be implemented in a software and/or hardware manner, and may be integrated in any device that provides the function of determining the quality evaluation result of molten iron, as shown in fig. 2, where the device specifically includes: an acquisition module 201 and a determination module 202.
The obtaining module 201 is configured to obtain a molten iron temperature data set, a molten iron silicon content data set, and a molten iron sulfur content data set corresponding to a molten iron sample;
a determining module 202, configured to determine a molten iron quality evaluation result according to the molten iron temperature data set, the molten iron silicon content data set, and the molten iron sulfur content data set.
Optionally, the molten iron temperature data set includes a first molten iron temperature data subset and a second molten iron temperature data subset, the molten iron silicon content data set includes a first molten iron silicon content data subset and a second molten iron silicon content data subset, and the molten iron sulfur content data set includes a first molten iron sulfur content data subset and a second molten iron sulfur content data subset;
the determining module 202 includes:
the first acquisition sub-module is used for acquiring a first molten iron temperature average value corresponding to the first molten iron temperature data subset and a second molten iron temperature average value corresponding to the second molten iron temperature data subset;
a first determination submodule for determining a molten iron temperature evaluation value according to the first molten iron temperature average value and the second molten iron temperature average value;
The second acquisition submodule is used for acquiring a first molten iron silicon content average value corresponding to the first molten iron silicon content data subset and a second molten iron silicon content average value corresponding to the second molten iron silicon content data subset;
the second determining submodule is used for determining a molten iron silicon content evaluation value according to the first molten iron silicon content average value and the second molten iron silicon content average value;
a third obtaining submodule, configured to obtain a first average value of sulfur content of molten iron corresponding to the first subset of sulfur content data of molten iron and a second average value of sulfur content of molten iron corresponding to the second subset of sulfur content data of molten iron;
a third determination submodule for determining a molten iron sulfur content evaluation value according to the first molten iron sulfur content average value and the second molten iron sulfur content average value;
and a fourth determination submodule, configured to determine a molten iron quality evaluation result according to the molten iron temperature evaluation value, the molten iron silicon content evaluation value and the molten iron sulfur content evaluation value.
Optionally, the fourth determining submodule includes:
a first determining unit configured to determine a first parameter according to the molten iron temperature evaluation value and the molten iron silicon content evaluation value;
A second determining unit for determining a second parameter according to the molten iron temperature evaluation value and the molten iron sulfur content evaluation value;
and a third determining unit, configured to determine a molten iron quality evaluation result according to the first parameter and the second parameter.
Optionally, the third determining unit includes:
a first determination subunit, configured to determine a first evaluation result between the molten iron temperature and the molten iron silicon content according to the first parameter;
a second determination subunit, configured to determine a second evaluation result between the molten iron temperature and the molten iron sulfur content according to the second parameter;
and a third determination subunit, configured to determine a molten iron quality evaluation result according to the first evaluation result and the second evaluation result.
Optionally, the first determining subunit is specifically configured to:
if the first parameter is larger than a first preset value, determining that the detection is abnormal, and generating detection abnormality prompt information;
if the first parameter is equal to the first preset value, determining that the first evaluation result is: the corresponding relation between the temperature of the molten iron and the silicon content of the molten iron is excellent, and the silicon content of the molten iron is controlled to be A level;
if the first parameter is smaller than the first preset value and larger than the second preset value, determining that the first evaluation result is: the corresponding relation between the temperature of the molten iron and the silicon content of the molten iron is good, and the silicon content of the molten iron is controlled to be B level;
If the first parameter is smaller than or equal to the second preset value and larger than a third preset value, determining that the first evaluation result is: the corresponding relation between the temperature of the molten iron and the silicon content of the molten iron is that the silicon content of the molten iron is controlled to be C level;
if the first parameter is smaller than or equal to the third preset value and larger than a fourth preset value, determining that the first evaluation result is: the corresponding relation between the temperature of the molten iron and the silicon content of the molten iron is a difference, and the silicon content of the molten iron is controlled to be D level;
if the first parameter is equal to the fourth preset value, determining that the first evaluation result is: the silicon content of molten iron is controlled stably;
if the first parameter is smaller than the fourth preset value, determining that the molten iron temperature and the silicon content of the molten iron run in the opposite direction, and generating abnormal operation prompt information.
Optionally, the second determining subunit is specifically configured to:
if the second parameter is smaller than a fifth preset value, determining detection abnormality and generating detection abnormality prompt information;
if the second parameter is equal to the fifth preset value, determining that the second evaluation result is: the corresponding relation between the temperature of the molten iron and the sulfur content of the molten iron is excellent, and the sulfur content of the molten iron is controlled to be A level;
If the second parameter is greater than the fifth preset value and less than the sixth preset value, determining that the second evaluation result is: the corresponding relation between the temperature of the molten iron and the sulfur content of the molten iron is good, and the sulfur content of the molten iron is controlled to be B level;
if the second parameter is greater than or equal to the sixth preset value and less than the seventh preset value, determining that the second evaluation result is: the corresponding relation between the temperature of the molten iron and the sulfur content of the molten iron is that the sulfur content of the molten iron is controlled to be C level;
if the second parameter is greater than or equal to the seventh preset value and less than the eighth preset value, determining that the second evaluation result is: the corresponding relation between the molten iron temperature and the molten iron sulfur content is a difference, and the molten iron sulfur content is controlled to be level D;
if the second parameter is equal to the eighth preset value, determining that the second evaluation result is: the sulfur content of molten iron is controlled stably;
and if the second parameter is larger than the eighth preset value, determining that the molten iron temperature and the sulfur content of the molten iron run in the opposite direction, and generating abnormal operation prompt information.
Optionally, the obtaining module 201 is specifically configured to:
obtaining a molten iron sample;
Recording a start time and an end time corresponding to the time when the molten iron sample is acquired;
determining a target time period according to the starting time and the ending time;
collecting target quantity of molten iron temperature data, target quantity of molten iron silicon content data and target quantity of molten iron sulfur content data in the target time period based on a preset collecting period;
and determining a molten iron temperature data set, a molten iron silicon content data set and a molten iron sulfur content data set corresponding to the molten iron sample according to the target number of molten iron temperature data, the target number of molten iron silicon content data and the target number of molten iron sulfur content data.
The product can execute the method for determining the molten iron quality evaluation result provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the method for determining the molten iron quality evaluation result.
Example III
Fig. 3 shows a schematic diagram of an electronic device 30 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, the electronic device 30 includes at least one processor 31, and a memory, such as a Read Only Memory (ROM) 32, a Random Access Memory (RAM) 33, etc., communicatively connected to the at least one processor 31, wherein the memory stores a computer program executable by the at least one processor, and the processor 31 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 32 or the computer program loaded from the storage unit 38 into the Random Access Memory (RAM) 33. In the RAM 33, various programs and data required for the operation of the electronic device 30 may also be stored. The processor 31, the ROM 32 and the RAM 33 are connected to each other via a bus 34. An input/output (I/O) interface 35 is also connected to bus 34.
Various components in electronic device 30 are connected to I/O interface 35, including: an input unit 36 such as a keyboard, a mouse, etc.; an output unit 37 such as various types of displays, speakers, and the like; a storage unit 38 such as a magnetic disk, an optical disk, or the like; and a communication unit 39 such as a network card, modem, wireless communication transceiver, etc. The communication unit 39 allows the electronic device 30 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 31 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 31 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 31 performs the respective methods and processes described above, such as the molten iron quality evaluation result determining method:
acquiring a molten iron temperature data set, a molten iron silicon content data set and a molten iron sulfur content data set corresponding to a molten iron sample;
and determining a molten iron quality evaluation result according to the molten iron temperature data set, the molten iron silicon content data set and the molten iron sulfur content data set.
In some embodiments, the molten iron quality evaluation result determining method may be implemented as a computer program, which is tangibly embodied on a computer-readable storage medium, such as the storage unit 38. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 30 via the ROM 32 and/or the communication unit 39. When the computer program is loaded into the RAM 33 and executed by the processor 31, one or more steps of the molten iron quality evaluation result determining method described above may be performed. Alternatively, in other embodiments, the processor 31 may be configured to perform the molten iron quality evaluation result determination method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. The method for determining the quality evaluation result of the molten iron is characterized by comprising the following steps of:
acquiring a molten iron temperature data set, a molten iron silicon content data set and a molten iron sulfur content data set corresponding to a molten iron sample;
and determining a molten iron quality evaluation result according to the molten iron temperature data set, the molten iron silicon content data set and the molten iron sulfur content data set.
2. The method of claim 1, wherein the molten iron temperature data set comprises a first molten iron temperature data subset and a second molten iron temperature data subset, the molten iron silicon content data set comprises a first molten iron silicon content data subset and a second molten iron silicon content data subset, and the molten iron sulfur content data set comprises a first molten iron sulfur content data subset and a second molten iron sulfur content data subset;
Determining a molten iron quality evaluation result according to the molten iron temperature data set, the molten iron silicon content data set and the molten iron sulfur content data set, wherein the method comprises the following steps of:
acquiring a first molten iron temperature average value corresponding to the first molten iron temperature data subset and a second molten iron temperature average value corresponding to the second molten iron temperature data subset;
determining a molten iron temperature evaluation value according to the first molten iron temperature average value and the second molten iron temperature average value;
acquiring a first molten iron silicon content average value corresponding to the first molten iron silicon content data subset and a second molten iron silicon content average value corresponding to the second molten iron silicon content data subset;
determining a molten iron silicon content evaluation value according to the first molten iron silicon content average value and the second molten iron silicon content average value;
acquiring a first molten iron sulfur content average value corresponding to the first molten iron sulfur content data subset and a second molten iron sulfur content average value corresponding to the second molten iron sulfur content data subset;
determining a molten iron sulfur content evaluation value according to the first molten iron sulfur content average value and the second molten iron sulfur content average value;
and determining a molten iron quality evaluation result according to the molten iron temperature evaluation value, the molten iron silicon content evaluation value and the molten iron sulfur content evaluation value.
3. The method according to claim 2, wherein determining a molten iron quality evaluation result from the molten iron temperature evaluation value, the molten iron silicon content evaluation value, and the molten iron sulfur content evaluation value comprises:
determining a first parameter according to the molten iron temperature evaluation value and the molten iron silicon content evaluation value;
determining a second parameter according to the molten iron temperature evaluation value and the molten iron sulfur content evaluation value;
and determining a molten iron quality evaluation result according to the first parameter and the second parameter.
4. A method according to claim 3, wherein determining the molten iron quality evaluation result from the first parameter and the second parameter comprises:
determining a first evaluation result between the molten iron temperature and the molten iron silicon content according to the first parameter;
determining a second evaluation result between the molten iron temperature and the molten iron sulfur content according to the second parameter;
and determining a molten iron quality evaluation result according to the first evaluation result and the second evaluation result.
5. The method of claim 4, wherein determining a first evaluation result between the molten iron temperature and the molten iron silicon content based on the first parameter comprises:
If the first parameter is larger than a first preset value, determining that the detection is abnormal, and generating detection abnormality prompt information;
if the first parameter is equal to the first preset value, determining that the first evaluation result is: the corresponding relation between the temperature of the molten iron and the silicon content of the molten iron is excellent, and the silicon content of the molten iron is controlled to be A level;
if the first parameter is smaller than the first preset value and larger than the second preset value, determining that the first evaluation result is: the corresponding relation between the temperature of the molten iron and the silicon content of the molten iron is good, and the silicon content of the molten iron is controlled to be B level;
if the first parameter is smaller than or equal to the second preset value and larger than a third preset value, determining that the first evaluation result is: the corresponding relation between the temperature of the molten iron and the silicon content of the molten iron is that the silicon content of the molten iron is controlled to be C level;
if the first parameter is smaller than or equal to the third preset value and larger than a fourth preset value, determining that the first evaluation result is: the corresponding relation between the temperature of the molten iron and the silicon content of the molten iron is a difference, and the silicon content of the molten iron is controlled to be D level;
if the first parameter is equal to the fourth preset value, determining that the first evaluation result is: the silicon content of molten iron is controlled stably;
If the first parameter is smaller than the fourth preset value, determining that the molten iron temperature and the silicon content of the molten iron run in the opposite direction, and generating abnormal operation prompt information.
6. The method of claim 4, wherein determining a second evaluation result between the molten iron temperature and the molten iron sulfur content based on the second parameter comprises:
if the second parameter is smaller than a fifth preset value, determining detection abnormality and generating detection abnormality prompt information;
if the second parameter is equal to the fifth preset value, determining that the second evaluation result is: the corresponding relation between the temperature of the molten iron and the sulfur content of the molten iron is excellent, and the sulfur content of the molten iron is controlled to be A level;
if the second parameter is greater than the fifth preset value and less than the sixth preset value, determining that the second evaluation result is: the corresponding relation between the temperature of the molten iron and the sulfur content of the molten iron is good, and the sulfur content of the molten iron is controlled to be B level;
if the second parameter is greater than or equal to the sixth preset value and less than the seventh preset value, determining that the second evaluation result is: the corresponding relation between the temperature of the molten iron and the sulfur content of the molten iron is that the sulfur content of the molten iron is controlled to be C level;
If the second parameter is greater than or equal to the seventh preset value and less than the eighth preset value, determining that the second evaluation result is: the corresponding relation between the molten iron temperature and the molten iron sulfur content is a difference, and the molten iron sulfur content is controlled to be level D;
if the second parameter is equal to the eighth preset value, determining that the second evaluation result is: the sulfur content of molten iron is controlled stably;
and if the second parameter is larger than the eighth preset value, determining that the molten iron temperature and the sulfur content of the molten iron run in the opposite direction, and generating abnormal operation prompt information.
7. The method of claim 1, wherein obtaining the molten iron temperature data set, the molten iron silicon content data set, and the molten iron sulfur content data set corresponding to the molten iron sample comprises:
obtaining a molten iron sample;
recording a start time and an end time corresponding to the time when the molten iron sample is acquired;
determining a target time period according to the starting time and the ending time;
collecting target quantity of molten iron temperature data, target quantity of molten iron silicon content data and target quantity of molten iron sulfur content data in the target time period based on a preset collecting period;
And determining a molten iron temperature data set, a molten iron silicon content data set and a molten iron sulfur content data set corresponding to the molten iron sample according to the target number of molten iron temperature data, the target number of molten iron silicon content data and the target number of molten iron sulfur content data.
8. A molten iron quality evaluation result determining apparatus, comprising:
the acquisition module is used for acquiring a molten iron temperature data set, a molten iron silicon content data set and a molten iron sulfur content data set corresponding to the molten iron sample;
the determining module is used for determining a molten iron quality evaluation result according to the molten iron temperature data set, the molten iron silicon content data set and the molten iron sulfur content data set.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the molten iron quality evaluation result determining method of any one of claims 1 to 7.
10. A computer-readable storage medium storing computer instructions for causing a processor to execute the molten iron quality evaluation result determination method according to any one of claims 1 to 7.
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