CN117890356A - Method for on-line rapid determination of molten iron melt composition of blast furnace - Google Patents
Method for on-line rapid determination of molten iron melt composition of blast furnace Download PDFInfo
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- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 title claims abstract description 216
- 229910052742 iron Inorganic materials 0.000 title claims abstract description 108
- 238000000034 method Methods 0.000 title claims abstract description 52
- 239000000203 mixture Substances 0.000 title claims description 16
- 238000001514 detection method Methods 0.000 claims abstract description 39
- 238000001228 spectrum Methods 0.000 claims abstract description 39
- 238000004458 analytical method Methods 0.000 claims abstract description 24
- 238000012544 monitoring process Methods 0.000 claims abstract description 7
- 238000002679 ablation Methods 0.000 claims abstract description 4
- 230000003595 spectral effect Effects 0.000 claims description 19
- 238000011088 calibration curve Methods 0.000 claims description 18
- 238000005070 sampling Methods 0.000 claims description 17
- 230000003287 optical effect Effects 0.000 claims description 11
- 229910052710 silicon Inorganic materials 0.000 claims description 10
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 claims description 9
- 239000010703 silicon Substances 0.000 claims description 9
- 238000004876 x-ray fluorescence Methods 0.000 claims description 8
- 239000002893 slag Substances 0.000 claims description 6
- 229910052717 sulfur Inorganic materials 0.000 claims description 6
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 claims description 5
- 229910052799 carbon Inorganic materials 0.000 claims description 5
- 239000010949 copper Substances 0.000 claims description 5
- 239000000428 dust Substances 0.000 claims description 5
- 238000009848 ladle injection Methods 0.000 claims description 5
- 229910052698 phosphorus Inorganic materials 0.000 claims description 5
- 239000011593 sulfur Substances 0.000 claims description 5
- 239000010936 titanium Substances 0.000 claims description 5
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 4
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 claims description 4
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 4
- ATJFFYVFTNAWJD-UHFFFAOYSA-N Tin Chemical compound [Sn] ATJFFYVFTNAWJD-UHFFFAOYSA-N 0.000 claims description 4
- RTAQQCXQSZGOHL-UHFFFAOYSA-N Titanium Chemical compound [Ti] RTAQQCXQSZGOHL-UHFFFAOYSA-N 0.000 claims description 4
- 229910052785 arsenic Inorganic materials 0.000 claims description 4
- RQNWIZPPADIBDY-UHFFFAOYSA-N arsenic atom Chemical compound [As] RQNWIZPPADIBDY-UHFFFAOYSA-N 0.000 claims description 4
- 229910052802 copper Inorganic materials 0.000 claims description 4
- WPBNNNQJVZRUHP-UHFFFAOYSA-L manganese(2+);methyl n-[[2-(methoxycarbonylcarbamothioylamino)phenyl]carbamothioyl]carbamate;n-[2-(sulfidocarbothioylamino)ethyl]carbamodithioate Chemical compound [Mn+2].[S-]C(=S)NCCNC([S-])=S.COC(=O)NC(=S)NC1=CC=CC=C1NC(=S)NC(=O)OC WPBNNNQJVZRUHP-UHFFFAOYSA-L 0.000 claims description 4
- 239000011574 phosphorus Substances 0.000 claims description 4
- 229910052718 tin Inorganic materials 0.000 claims description 4
- 229910052719 titanium Inorganic materials 0.000 claims description 4
- 230000002452 interceptive effect Effects 0.000 claims description 3
- 238000004611 spectroscopical analysis Methods 0.000 claims description 3
- 239000003517 fume Substances 0.000 claims 1
- 239000000523 sample Substances 0.000 description 14
- 230000008569 process Effects 0.000 description 12
- 238000012360 testing method Methods 0.000 description 9
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 4
- 239000003546 flue gas Substances 0.000 description 4
- 239000007788 liquid Substances 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000001816 cooling Methods 0.000 description 3
- 238000002536 laser-induced breakdown spectroscopy Methods 0.000 description 3
- 238000010079 rubber tapping Methods 0.000 description 3
- 239000000243 solution Substances 0.000 description 3
- 230000000052 comparative effect Effects 0.000 description 2
- 238000007599 discharging Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000002360 preparation method Methods 0.000 description 2
- 238000010183 spectrum analysis Methods 0.000 description 2
- 238000009628 steelmaking Methods 0.000 description 2
- 238000003723 Smelting Methods 0.000 description 1
- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000003556 assay Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000004615 ingredient Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000006101 laboratory sample Substances 0.000 description 1
- 239000011572 manganese Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000000155 melt Substances 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000005580 one pot reaction Methods 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 238000010926 purge Methods 0.000 description 1
- 238000013441 quality evaluation Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
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- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
The application discloses a method for rapidly measuring molten iron melt components of a blast furnace on line, which comprises the following steps: and setting a laser of the laser component analyzer towards the molten iron runner, starting the laser component analyzer when molten iron flows out from the tap hole to the molten iron runner, focusing the surface of the molten iron of the ablation sample by pulse laser to generate plasma, collecting plasma signals, detecting to obtain a spectrum, and determining the components and the content of the element to be detected according to the characteristic spectrum intensity of the element to be detected. Compared with the prior art, the detection method has the advantages that the detection time is 1-3 min, the detection efficiency is improved by more than 10 times, the lag time of the detection result is effectively reduced, the real-time monitoring of molten iron components is convenient, and the consistency of the analysis result of the method and the XRF equipment is better according to the comparison with the analysis result of the prior XRF equipment.
Description
Technical Field
The invention relates to the technical field of metallurgical melt component detection, in particular to a method for rapidly measuring the molten iron component of a blast furnace on line.
Background
The component detection of the molten iron of the blast furnace product has important significance for optimizing and guiding the steelmaking of the blast furnace. The molten iron components directly reflect the change state of the molten iron of the blast furnace, and the process parameters in the smelting process of the blast furnace are effectively monitored in real time through the molten iron components, so that the stable and efficient operation of the blast furnace is guaranteed, and decision-making process guidance, cost reduction and synergy are related. The existing molten iron inspection method adopts a mode of manual sampling, cooling, sample feeding, laboratory sample preparation and XRF/spark spectrum analysis, and has certain disadvantages, such as:
1. The method has the defects in the aspects of labor cost, detection cost, data acquisition quantity and the like, the whole detection process takes more than 30 minutes, the method has obvious hysteresis, the quality of molten iron cannot be fed back in real time, and the method is not beneficial to timely judging the furnace condition and guiding the operation of the blast furnace.
2. The blast furnace molten iron is influenced by furnace conditions and blast furnace operation, slag inclusion, precipitation and other conditions possibly exist in the tapping process, so that molten iron components are uneven, the sampling test result has larger accidental errors due to the randomness of manual sampling, and part of conditions can even cover abnormal changes of the molten iron components.
3. The total process time of tapping and discharging of the blast furnace (about 2 hours for 8# furnace and 3-4 corresponding iron ladles) cannot support that each ladle is taken with representative molten iron components, and the operation and development of a one-pot supply process for molten iron supply are restricted.
In view of this, the present invention has been made.
Disclosure of Invention
The invention aims to provide a method for rapidly measuring the molten iron melt components of a blast furnace on line, which improves the detection speed, reduces the lag time and is convenient for the real-time monitoring of the molten iron components.
The invention is realized in the following way:
in a first aspect, the invention provides a method for rapidly measuring molten iron melt components of a blast furnace on line, comprising the steps of:
And setting a laser of the laser component analyzer towards the molten iron runner, starting the laser component analyzer when molten iron flows out from the tap hole to the molten iron runner, focusing the surface of the molten iron of the ablation sample by pulse laser to generate plasma, collecting plasma signals, detecting to obtain a spectrum, and determining the components and the content of the element to be detected according to the characteristic spectrum intensity of the element to be detected.
In alternative embodiments, the element to be measured includes silicon, sulfur, manganese, carbon, phosphorus, titanium, copper, arsenic, and tin.
In an alternative embodiment, the pulse number of the pulse laser per detection of the molten iron component is 1000-3000.
In an alternative embodiment, after a spectrum is obtained, substituting the intensity of the characteristic analysis spectral line of the element to be detected and the intensity ratio of the characteristic analysis spectral line in the obtained spectrum into a calibration curve to obtain the content of the element to be detected.
In an alternative embodiment, the method further comprises the establishment of a calibration curve: and simultaneously sampling in the molten iron runner, and respectively analyzing the content of the element to be detected by utilizing a laser component analyzer and an X-ray fluorescence spectrum to obtain the characteristic analysis spectral line intensity of the element to be detected, wherein the functional relation between the intensity ratio of the characteristic analysis spectral line and the content of the element to be detected, which is measured by utilizing the X-ray fluorescence spectrum, is a calibration curve.
In an alternative embodiment, the method further comprises the step of monitoring the state, wherein the optical system is used for collecting the brightness signal at the molten iron runner, when the brightness signal reaches a preset threshold value, the molten iron is regarded as flowing to the molten iron runner, the optical system outputs a pulse signal to the laser component analyzer, and the laser component analyzer is started.
In an alternative embodiment, the device further comprises a label input module, wherein the labels are in one-to-one correspondence with the samples to be detected.
In an alternative embodiment, the tag includes at least one of a detection time, a ladle injection time, a ladle number, and a furnace number.
In an alternative embodiment, the method further comprises removing on-site flue gas, dust, liquid level fluctuation and iron slag from interfering with the spectroscopic analysis.
The invention has the following beneficial effects:
The process for measuring the molten iron melt component of the blast furnace by adopting the laser component analyzer mainly comprises the steps of 1, generating plasma on the surface of molten iron of a sample by focusing and ablating by pulse laser; 2. the spectrometer collects plasma signals and detects the plasma signals to obtain a spectrum; 3. establishing an analysis model through series standard sample spectrum acquisition, mainly determining the characteristic spectrum of the element to be detected and correlating the characteristic spectrum intensity with the content of the element to be detected; 4. and detecting characteristic spectrums of all elements in the molten iron so as to analyze the types and the contents of the elements. In general, the detection method of the application takes 1-3 min for the whole detection process, compared with the detection method of the prior art which is more than 30min, the detection efficiency is improved by more than 10 times, the lag time of the detection result is effectively reduced, the real-time monitoring of molten iron components is convenient, and the consistency of the analysis result of the method and the XRF equipment is better according to the comparison with the analysis result of the prior XRF equipment.
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 flow chart of a method for on-line rapid determination of molten iron melt composition of a blast furnace according to the present application;
FIG. 2 is a comparison of the results of the test of example 1 and comparative example 1;
FIG. 3 is a comparison of the results of the determination of silicon content by the method of example 1 and the determination of silicon content by the XRF method;
FIG. 4 is a comparison of the results of the determination of silicon content by the method of example 1 and the determination of silicon content by the XRF method.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below. The specific conditions are not noted in the examples and are carried out according to conventional conditions or conditions recommended by the manufacturer. The reagents or apparatus used were conventional products commercially available without the manufacturer's attention.
In a first aspect, the present invention provides a method for rapidly determining molten iron components of a blast furnace on line, wherein the flow is shown in fig. 1, and the method comprises:
And setting a laser of the laser component analyzer towards the molten iron runner, starting the laser component analyzer when molten iron flows out from the tap hole to the molten iron runner, focusing the surface of the molten iron of the ablation sample by pulse laser to generate plasma, collecting plasma signals, detecting to obtain a spectrum, and determining the components and the content of the element to be detected according to the characteristic spectrum intensity of the element to be detected.
The process for measuring the molten iron melt component of the blast furnace by adopting the laser component analyzer mainly comprises the steps of 1, generating plasma on the surface of molten iron of a sample by focusing and ablating by pulse laser; 2. the spectrometer collects plasma signals and detects the plasma signals to obtain a spectrum; 3. establishing an analysis model through series standard sample spectrum acquisition, mainly determining the characteristic spectrum of the element to be detected and correlating the characteristic spectrum intensity with the content of the element to be detected; 4. and detecting characteristic spectrums of all elements in the molten iron so as to analyze the types and the contents of the elements.
In general, the detection method of the application takes 1-3 min in the whole detection process, and compared with the detection method in the prior art, the detection method has the advantages that the detection efficiency is improved by more than 10 times, the lag time of the detection result is effectively reduced, and the real-time monitoring of the molten iron components is facilitated.
In alternative embodiments, the element to be measured includes silicon, sulfur, manganese, carbon, phosphorus, titanium, copper, arsenic, and tin.
For the content of each component, as the main component in the molten iron is iron, the content of silicon, sulfur, manganese, carbon, phosphorus, titanium, copper, arsenic and tin of the components to be detected is relatively low, and the content is within the detection concentration range in the application.
In an alternative embodiment, the pulse number of the pulse laser per detection of the molten iron component is 1000-3000.
The pulse laser single detection adopts 1000-3000 pulses of continuous light emission to ensure that a sufficient number of effective spectrums are obtained, thereby being beneficial to reducing the ratio of the influence of on-site flue gas dust, liquid level fluctuation and the like on the spectrum intensity to the characteristic spectrum intensity and further reducing the influence of environmental factors and the like on the test result.
In an alternative embodiment, after a spectrum is obtained, the spectral line intensity and the intensity ratio of the characteristic analysis spectral line of the element to be detected in the obtained spectrum are substituted into a calibration curve to obtain the content of the element to be detected.
And combining the established calibration curve databases with different concentrations and different elements, calculating the corresponding element characteristic analysis spectral line intensity and intensity ratio I i according to the online detection spectral data of the molten iron components of the melt, substituting the intensity and intensity ratio I i into the established standard calibration curve database, and calculating according to the functional relation f i(I0,i,C0,i) to obtain the content C i of different elements corresponding to the current detection.
In an alternative embodiment, the method further comprises the establishment of a calibration curve: and meanwhile, sampling in the molten iron runner, and respectively analyzing the content of the element to be detected by utilizing a laser component analyzer and an X-ray fluorescence spectrum to obtain a functional relation between the characteristic analysis spectral line intensity and the intensity ratio of the element to be detected and the content of the element to be detected, which is measured by utilizing the X-ray fluorescence spectrum, namely a calibration curve.
The method comprises the steps of carrying out on-line detection on spectrum data by using molten iron, comparing the spectrum data with analysis results of a sampling molten iron laboratory by using XRF equipment, carrying out calibration curve establishment by adopting corresponding characteristic analysis spectral line intensity and intensity ratio and assay concentration aiming at different elements, and forming a calibration curve database aiming at different concentrations and different elements.
Database set m= { C i,(w1,i,w2,i),fi(I0,i,C0,i) }, where C i is the I-th element, w 1,i is the minimum concentration of the calibration curve for the element, w 2,i is the maximum concentration of the calibration curve, and f i(I0,i,C0,i) is the functional relationship between the characteristic spectral line intensity and intensity ratio I 0,i for the element and the corresponding concentration C 0,i.
In an alternative embodiment, the method further comprises the step of monitoring the state, wherein the optical system is used for collecting the brightness signal at the molten iron runner, when the brightness signal reaches a preset threshold value, the molten iron is regarded as flowing to the molten iron runner, the optical system outputs a pulse signal to the laser component analyzer, and the laser component analyzer is started.
In some embodiments, a manual start laser component analyzer can be adopted, namely an operator observes a molten iron runner, when molten iron flows into the molten iron runner, on-site personnel can directly start one-key intelligent detection through a cabinet button or remote software, and the laser component analyzer is started to analyze molten iron components. However, the whole process of tapping and discharging of the blast furnace is longer, for example, the 8# furnace is about 2 hours, corresponding to 3-4 iron ladles, the manual operation sampling time is not easy to accurately control, and mistakes are easy to occur. In this embodiment, an optical system is set, and the optical system is in signal connection with the laser component analyzer, when molten iron flows through the molten iron runner, the brightness of an image collected by the optical system is higher due to higher temperature of the molten iron, and when the brightness of the collected image reaches a preset brightness value, the molten iron can be considered to flow through the molten iron runner, and the laser component analyzer is started.
In an alternative embodiment, the device further comprises a label input module, wherein the labels are in one-to-one correspondence with the samples to be detected.
In an alternative embodiment, the tag includes at least one of a detection time, a ladle injection time, a ladle number, and a furnace number.
The detection results are in one-to-one correspondence with the labels, so that the data can be conveniently searched, retrieved, analyzed, compared and the like in the later stage. And the detection result of the online component analyzer is combined with information such as detection time, ladle injection time, ladle number, furnace number and the like to establish a ladle component rapid detection flow, so as to provide accurate allocation guidance for steelmaking processes.
In an alternative embodiment, the method further comprises removing on-site flue gas, dust, liquid level fluctuation and iron slag from interfering with the spectroscopic analysis.
The application can utilize thousands of spectral lines of laser-induced breakdown spectroscopy to perform methods such as spectral quality evaluation, self correction and the like, eliminates interference of on-site working conditions on spectral analysis, and can refer to the prior art such as CN113624746A, CN113740314A, CN111351778B and the like, so that the application can directly focus molten iron in a molten iron runner by laser on the basis of not using a device to contact the molten iron and not needing to purge the surface of the molten iron, eliminates influence factors such as on-site flue gas, dust, liquid level fluctuation, iron slag and the like, and determines the composition of the molten steel.
The features and capabilities of the present invention are described in further detail below in connection with the examples.
Example 1
The embodiment provides a method for rapidly measuring molten iron melt components of a blast furnace on line, which comprises the following steps:
Setting a laser of a laser component analyzer towards a molten iron runner, collecting brightness signals at the molten iron runner through an optical system, when the brightness signals reach a preset threshold value, regarding the molten iron to flow to the molten iron runner, outputting pulse signals to the laser component analyzer by the optical system, starting the laser component analyzer, focusing plasma generated by ablating the surface of the sample molten iron by pulse laser, collecting plasma signals, detecting to obtain a spectrum, substituting the characteristic analysis spectral line intensity and the intensity ratio of elements to be detected in the obtained spectrum into a calibration curve to obtain the content of the elements to be detected, and corresponding the measurement results with detection time, ladle injection time, ladle number, furnace number and the like;
wherein, the pulse number of the pulse laser is 2000 for each time of detecting the molten iron component;
The method also comprises the establishment of a calibration curve: and meanwhile, sampling in the molten iron runner, and respectively analyzing the content of the element to be detected by utilizing a laser component analyzer and an X-ray fluorescence spectrum to obtain a functional relation between the characteristic analysis spectral line intensity and the intensity ratio of the element to be detected and the content of the element to be detected, which is measured by utilizing the X-ray fluorescence spectrum, namely a calibration curve.
Test example 1
The laboratory was used to analyze the same batch of solid samples as in example 1 using XRF equipment after grinding and tabletting.
The results of the test of silicon and sulfur by the method of example 1 and comparative example 1 are compared, and the results are shown in FIG. 2, wherein the abscissa represents the sampling time and the ordinate represents the mass fraction of the element to be measured in wt%.
Test example 2
The group of 22 days to 8 days 2023 conducted LIBS on-line test and sampling off-line test (XRF analysis) comparison of Si, S, mn, ti, P, C, cu, as, sn in 6# blast furnace hot metal, with the following results: the hit rate of Si was 85.63%, the hit rate of S was 86.25%, the hit rate of P was 98.75%, the hit rate of Mn was 100.00%, the hit rate of Cu was 100.00%, the hit rate of As was 100.00%, the hit rate of Ti was 90.63%, the hit rate of C was 98.09%, and the hit rate of Sn was 94.38%, all reaching the check index with hit rate >85%, as detailed in Table 1.
TABLE 1
Experimental example 3
The online detection data time is matched with the iron ladle inbound and outbound time, the section component data is taken as iron ladle components, the XRF method is adopted to test the platform sample and the Dragon ditch sample at the corresponding time, the online detection and iron ladle sampling are higher in correlation through the three-party data comparison, the comparison result is shown in fig. 3 and 4, and the accuracy of the manual iron ditch sampling data is higher in the mode described in the embodiment 1 compared with that of the traditional iron ditch manual sampling data.
Laser sample: LIBS detects the ingredients of the matched package on line;
platform sample: manually sampling data by a ladle platform, manually breaking slag and sampling by the ladle, and performing XRF analysis on the sample after cooling;
Dragon ditch appearance: the iron runner manual sampling data are sampled 3 times in the iron runner, XRF analysis is performed after cooling and sample preparation, and the results are averaged to be used as component data of the corresponding furnace iron ladle.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A method for rapidly determining the composition of molten iron melt of a blast furnace on line, which is characterized by comprising the following steps:
And setting a laser of the laser component analyzer towards the molten iron runner, starting the laser component analyzer when molten iron flows out from the tap hole to the molten iron runner, focusing the surface of the molten iron of the ablation sample by pulse laser to generate plasma, collecting plasma signals, detecting to obtain a spectrum, and determining the components and the content of the element to be detected according to the characteristic spectrum intensity of the element to be detected.
2. The method for on-line rapid determination of molten iron composition of blast furnace according to claim 1, wherein the element to be measured comprises silicon, sulfur, manganese, carbon, phosphorus, titanium, copper, arsenic and tin.
3. The method for on-line rapid determination of molten iron composition of blast furnace according to claim 1, wherein the number of pulses of the pulse laser per detection of molten iron composition is 1000-3000.
4. The method for on-line rapid determination of molten iron composition of blast furnace according to claim 1, wherein after obtaining a spectrum, substituting the intensity ratio of the characteristic analysis spectral line intensity and the characteristic analysis spectral line of the element to be detected in the obtained spectrum into a calibration curve to obtain the content of the element to be detected.
5. The method for on-line rapid determination of molten iron composition of a blast furnace according to claim 4, further comprising establishment of a calibration curve: and simultaneously sampling in the molten iron runner, and respectively analyzing the content of the element to be detected by utilizing a laser component analyzer and an X-ray fluorescence spectrum to obtain the characteristic analysis spectral line intensity of the element to be detected, wherein the functional relation between the intensity ratio of the characteristic analysis spectral line and the content of the element to be detected, which is measured by utilizing the X-ray fluorescence spectrum, is a calibration curve.
6. The method for on-line rapid determination of molten iron composition of blast furnace according to claim 1, further comprising state monitoring, collecting a brightness signal at a molten iron runner by an optical system, and when the brightness signal reaches a preset threshold, regarding molten iron to the molten iron runner, outputting a pulse signal to the laser composition analyzer by the optical system, wherein the laser composition analyzer is started.
7. The method for on-line rapid determination of molten iron composition of blast furnace according to claim 1, further comprising a label input module, wherein the labels are in one-to-one correspondence with the samples to be detected.
8. The method for on-line rapid determination of molten iron composition of a blast furnace according to claim 7, wherein the tag comprises at least one of a detection time, a ladle injection time, a ladle number and a furnace number.
9. The method for on-line rapid determination of molten iron composition of blast furnace according to claim 1, further comprising removing on-site fumes, dust, level fluctuations and slag from interfering with the spectroscopic analysis.
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