CN117309790A - Automatic silicon content detection system for middle carbon ferromanganese refining process - Google Patents
Automatic silicon content detection system for middle carbon ferromanganese refining process Download PDFInfo
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- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 title claims abstract description 240
- 229910052710 silicon Inorganic materials 0.000 title claims abstract description 240
- 239000010703 silicon Substances 0.000 title claims abstract description 240
- 238000001514 detection method Methods 0.000 title claims abstract description 227
- 238000007670 refining Methods 0.000 title claims abstract description 121
- 229910000616 Ferromanganese Inorganic materials 0.000 title claims abstract description 89
- DALUDRGQOYMVLD-UHFFFAOYSA-N iron manganese Chemical compound [Mn].[Fe] DALUDRGQOYMVLD-UHFFFAOYSA-N 0.000 title claims abstract description 89
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 86
- 238000000034 method Methods 0.000 title claims abstract description 59
- 230000008569 process Effects 0.000 title claims abstract description 46
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 31
- 238000012360 testing method Methods 0.000 claims abstract description 50
- 238000009833 condensation Methods 0.000 claims abstract description 16
- 230000005494 condensation Effects 0.000 claims abstract description 16
- 239000000523 sample Substances 0.000 claims description 150
- 238000006243 chemical reaction Methods 0.000 claims description 92
- 238000002835 absorbance Methods 0.000 claims description 32
- 239000003153 chemical reaction reagent Substances 0.000 claims description 26
- 239000007788 liquid Substances 0.000 claims description 23
- 238000010438 heat treatment Methods 0.000 claims description 21
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 19
- 238000005070 sampling Methods 0.000 claims description 16
- 238000012546 transfer Methods 0.000 claims description 16
- 239000012488 sample solution Substances 0.000 claims description 12
- 238000012544 monitoring process Methods 0.000 claims description 9
- 238000004519 manufacturing process Methods 0.000 claims description 8
- 238000002360 preparation method Methods 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000012937 correction Methods 0.000 claims description 7
- 238000003556 assay Methods 0.000 claims description 6
- 238000001816 cooling Methods 0.000 claims description 6
- 238000012795 verification Methods 0.000 claims description 6
- 238000005303 weighing Methods 0.000 claims description 5
- 230000035699 permeability Effects 0.000 claims description 4
- 239000002351 wastewater Substances 0.000 claims description 4
- 238000000151 deposition Methods 0.000 claims description 3
- 238000003860 storage Methods 0.000 claims description 3
- 238000010998 test method Methods 0.000 claims description 3
- 239000008213 purified water Substances 0.000 claims description 2
- 238000005259 measurement Methods 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 description 6
- 230000008859 change Effects 0.000 description 6
- 238000003723 Smelting Methods 0.000 description 5
- 238000010926 purge Methods 0.000 description 5
- 238000013519 translation Methods 0.000 description 5
- 239000007810 chemical reaction solvent Substances 0.000 description 4
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 3
- 239000002994 raw material Substances 0.000 description 3
- 238000004140 cleaning Methods 0.000 description 2
- 230000001419 dependent effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000000746 purification Methods 0.000 description 2
- 238000010079 rubber tapping Methods 0.000 description 2
- GRYLNZFGIOXLOG-UHFFFAOYSA-N Nitric acid Chemical compound O[N+]([O-])=O GRYLNZFGIOXLOG-UHFFFAOYSA-N 0.000 description 1
- 210000001015 abdomen Anatomy 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 229910045601 alloy Inorganic materials 0.000 description 1
- 239000000956 alloy Substances 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 229910017604 nitric acid Inorganic materials 0.000 description 1
- 239000000779 smoke Substances 0.000 description 1
- 239000002436 steel type Substances 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
-
- 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
- Y02P10/00—Technologies related to metal processing
- Y02P10/20—Recycling
Abstract
The invention provides an automatic silicon content detection system in a middle carbon ferromanganese refining process, which relates to the technical field of metallurgical component detection and comprises an image detection system, wherein the image detection system comprises: the sample test box is used for providing a condensing environment for the image detection sample; the information acquisition unit is used for acquiring actual sample information of the image detection sample condensation process; and the comparison unit is used for comparing the actual sample information of the image detection sample with the standard sample information of the standard sample condensation process with different silicon contents, and judging that the silicon content concentration of the image detection sample is the same as the silicon content concentration of the standard sample when the similarity between the actual sample information of the image detection sample and the standard sample information of a certain standard sample condensation process exceeds a threshold value. The silicon content in the sample is automatically identified, so that the limit of manually identifying the sample is eliminated, and the accuracy of silicon content measurement of the sample is improved.
Description
Technical Field
The invention relates to the technical field of metallurgical component detection, in particular to an automatic silicon content detection system in a middle carbon ferromanganese refining process.
Background
Ferromanganese is one of important alloy raw materials used in the smelting process, and with the improvement of the quality requirement of new steel types for smelting, the control requirement of the smelting process is correspondingly improved, so that various raw materials used in the smelting process are not only tested for main components, and the content of other relevant components in the raw materials is rapidly and accurately analyzed, so that the more accurate control of smelting components is increasingly important.
In the middle carbon ferromanganese refining process, the silicon content state in the medium carbon ferromanganese refining process is judged by manually and regularly observing the surface and the section of the condensation process, and the method is too dependent on personnel experience and is easy to misjudge.
Disclosure of Invention
The invention provides an automatic silicon content detection system in a middle carbon ferromanganese refining process, which is used for solving the technical problem that when the silicon content is judged by a visual method, the method is too dependent on personnel experience and is easy to cause misjudgment.
In order to solve the technical problems, the invention discloses an automatic detection system for silicon content in a middle carbon ferromanganese refining process, which comprises an image detection system, wherein the image detection system comprises:
the sample test box is used for providing a condensing environment for the image detection sample;
the information acquisition unit is used for acquiring actual sample information of the image detection sample condensation process;
and the comparison unit is used for comparing the actual sample information of the image detection sample with the standard sample information of the standard sample condensation process with different silicon contents, and judging that the silicon content concentration of the image detection sample is the same as the silicon content concentration of the standard sample when the similarity between the actual sample information of the image detection sample and the standard sample information of a certain standard sample condensation process exceeds a threshold value.
Preferably, the device further comprises an accurate detection unit, and the accurate detection unit comprises:
a sample preparation unit for preparing a precise detection sample and configuring a test reagent;
the automatic transfer device is used for carrying out transportation of the reaction container;
a test unit for adding test reagents to the reaction vessel and providing a test environment for the reaction vessel;
the silicon content detection unit is used for obtaining the silicon content in the medium-carbon ferromanganese according to the test result of the test unit;
and the control module is electrically connected with the sample manufacturing unit, the automatic transfer device, the test unit and the silicon content detection unit.
Preferably, the sample preparation unit includes the system appearance bench, surface mounting has the weighing platform on the system appearance bench, the heating furnace, the reagent frame, the reaction platform, cooling platform and monitoring module, fixedly connected with heating frame on the heating furnace, the heating frame is used for bearing the reaction vessel, the reagent frame is used for depositing test reagent, fixedly connected with dropwise add frame and purge pipe on the reaction bench, the centre gripping has dropwise add pipe on the dropwise add frame, be provided with vibration base on the reaction bench, monitoring module is used for obtaining the real-time image of test procedure, one side of system appearance bench is provided with arm one, arm one is used for moving the reaction vessel on the system appearance bench and moves the reaction vessel to automatic transfer device, system appearance bench internally mounted has water purification case and waste water tank.
Preferably, the automatic transfer device comprises a transport frame, a sliding block is arranged on the transport frame, and a placing groove is formed in the upper surface of the sliding block.
Preferably, the test unit comprises a test bed, a liquid transferring table, a water bath box, a liquid adding table and a shaking instrument are arranged on the test bed, the liquid transferring table is used for conducting liquid transferring operation between the reaction containers, the water bath box is used for conducting water bath heating on the reaction containers, the liquid adding table is used for dropwise adding test reagents and purified water into the reaction containers, the multi-group liquid adding table is used for containing different test reagents, the shaking instrument is used for shaking the solutions in the reaction containers evenly, one side of the test bed is provided with a mechanical arm II, and the mechanical arm II is used for taking the reaction containers from the automatic transfer device.
Preferably, the silicon content detection unit includes:
the absorbance detection module is used for detecting absorbance of the solution in the reaction container after the completion of the partial reaction;
a storage module for storing a silicon content-absorbance curve;
and the analysis module is used for obtaining the silicon content in the medium-carbon ferromanganese according to the corresponding point position in the silicon content-absorbance curve of the solution in the reaction container after the reaction is completed, which is detected by the absorbance detection module.
Preferably, the method further comprises a silicon content prediction unit, the silicon content prediction unit comprising:
the refining furnace working condition acquisition unit is used for acquiring actual working parameters of the refining furnace;
the predicting unit is used for obtaining the predicted silicon content concentration of the medium-carbon ferromanganese in the refining furnace after detecting the silicon content concentration in the current medium-carbon ferromanganese sample for a period of time;
the verification unit is used for calculating the deviation degree of the predicted silicon content concentration obtained by the prediction unit and the actual silicon content concentration of ferromanganese in the refining furnace after detecting the silicon content concentration in the current medium-carbon ferromanganese sample for a period of time;
and the alarm unit is used for alarming when the deviation degree is greater than a preset alarm threshold value.
Preferably, the prediction unit obtains the predicted silicon content concentration according to a first formula:
wherein S is it The method comprises the steps that after the ith detection of a silicon content detection unit is carried out to obtain the time t of the silicon content concentration in a medium-carbon ferromanganese sample, the predicted silicon content concentration in a refining furnace is obtained; m is m i0 The silicon content in the medium carbon ferromanganese sample is obtained by the ith detection of the silicon content detection unit; v (V) i When the silicon content detection unit detects the silicon content concentration in the carbon ferromanganese sample for the ith time, the total volume of the sample solution in the reaction container after the reaction is completed; m is m i Sample for preparing solution for ith detection of silicon content concentration in carbon ferromanganese sample by silicon content detection unitQuality; v (V) i0 D, the volume of the sample solution which is separated by the absorbance detection module when the silicon content concentration in the medium-carbon ferromanganese sample is detected by the silicon content detection unit for the ith time i B, a cold air flow index of the refining furnace when the silicon content concentration in the medium-carbon ferromanganese sample is detected for the ith time 1i C is the cold air pressure index of the refining furnace in the ith detection, c i B is the hot air temperature index of the refining furnace in the ith detection, b 2i The hot air pressure index of the refining furnace in the ith detection is u, the air permeability index of the refining furnace is u, M is the total detection times, and w i The ith detection of the silicon content detection unit is used for obtaining the silicon content concentration, w, in the medium-carbon ferromanganese sample i-1 The silicon content concentration, T, in the medium carbon ferromanganese sample is obtained by the i-1 th detection of the silicon content detection unit i For the sampling time of the ith detection and the interval time of the sampling of the ith-1 th detection, t is the duration of the predicted time point from the sampling time of the ith detection, y is the actual temperature in the refining furnace, y 0 Is the theoretical temperature in the refining furnace; ln is natural logarithm, e is natural constant;
the cold air flow index is a value reflecting the deviation degree of the actual cold air flow and the standard cold air flow,d is d, for the actual cold air flow in the refining furnace i0 The standard cold air flow in the refining furnace;
the cold air pressure index is a value reflecting the deviation degree of the actual cold air pressure and the standard cold air pressure,b 1is b for the actual cold air pressure in the refining furnace 1i0 Is the standard cold air pressure in the refining furnace;
the hot air temperature index is a value reflecting the deviation degree of the actual hot air temperature and the standard hot air temperature,c is c, for the actual hot air temperature in the refining furnace i0 The temperature of the hot air is the standard hot air temperature in the refining furnace;
the hot air pressure index is a value reflecting the deviation degree of the actual hot air pressure and the standard hot air pressure,b 2is b for actual hot air pressure in the refining furnace 2i0 Is the standard hot air pressure in the refining furnace.
Preferably, the verification unit calculates the comprehensive deviation degree of the prediction result through a formula II and a formula III, wherein the formula II is as follows:
wherein p is it After the ith detection of the silicon content detection unit is carried out to obtain the time t of the silicon content concentration in the medium-carbon ferromanganese sample, the predicted silicon content concentration and the actual silicon content concentration in the refining furnaceM, m it For obtaining the sample mass, V, of the sample after the time t from the ith detection of the silicon content detection unit to the silicon content concentration in the medium-carbon ferromanganese sample it0 The ith detection of the silicon content detection unit is used for obtaining the volume, m, of the sample solution which is detected and separated when the sample is sampled and detected after the time t of the silicon content concentration in the medium-carbon ferromanganese sample is obtained it0 The ith detection of the silicon content detection unit is used for obtaining the silicon content in the medium-carbon ferromanganese sample after the time t of the silicon content concentration in the medium-carbon ferromanganese sample is sampled and detected, V it Obtaining the total volume of a sample solution in sampling detection after the time t of the silicon content concentration in the medium-carbon ferromanganese sample for the ith detection of the silicon content detection unit; a is that 1 In M times of detection, the absolute value of the first deviation is larger than the first preset value; p (P) M In M times of detection, the comprehensive deviation degree of the prediction result is obtained.
Preferably, the device further comprises a correction module, which is used for correcting the predicted silicon content concentration obtained by the formula I based on the comprehensive deviation degree;
detecting the ith time of the corrected silicon content detection unit to obtain the silicon content concentration t time in the medium-carbon ferromanganese sample, and predicting the silicon content concentration in the refining furnace; s is S it The method comprises the steps that after the time t of the silicon content concentration in a medium-carbon ferromanganese sample is obtained by the ith detection of a silicon content detection unit before correction, the predicted silicon content concentration in a refining furnace is obtained; b (B) 1 For p in M assays it Times greater than 0, B 2 For p in M assays it Times less than 0, P M0 Is P M Corresponding preset reference value ln is natural logarithm; c (C) 1 For M times of detection, p it P greater than 0 it Average value of (2); c (C) 2 For M times of detection, p it |p smaller than 0 it Average of i.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Compared with the prior art, the invention has the following beneficial effects:
the method has the advantages that the actual sample information of the image detection sample is obtained, the silicon content concentration in the medium-carbon ferromanganese is determined by comparing the actual sample information with the standard sample information of the standard sample condensation process of different silicon contents, the limit of manually identifying the sample is eliminated, the accuracy of the silicon content measurement of the sample is improved, the automatic configuration of the sample and the experimental reagent is realized through the sample manufacturing unit, the automatic transportation of the reaction container is completed through the automatic transportation device, the manual operation in the experimental process is reduced, the manual labor degree is reduced, the safety of the experimental process is improved, the adding amount of the experimental reagent is accurately controlled through the control module, the accuracy of the detection result is improved, the detection efficiency is improved, the detection time is shortened, the silicon content in the refining furnace is predicted according to the detection result, the difference between the detection result caused by the detection time and the silicon content in the refining furnace is reduced, and the silicon content in the refining process can be accurately controlled.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a front view of a precision detecting unit according to the present invention;
FIG. 2 is a schematic top view of the accurate detection unit of the present invention;
fig. 3 is a schematic structural view of a pipetting station of the invention.
In the figure: 1. a sample preparation table; 2. a weighing platform; 3. a heating furnace; 4. a reagent rack; 5. a reaction table; 6. a cooling table; 7. a monitoring component; 8. a heating rack; 9. a dripping frame; 10. a purge tube; 11. a dropping tube; 12. a mechanical arm I; 13. a clean water tank; 14. a waste water tank; 15. a transport rack; 16. a sliding block; 17. a placement groove; 18. a test bed; 19. a pipetting station; 191. a placement table; 192. placing the hole; 193. a mounting frame; 194. a sliding seat; 195. a translation block; 196. a lifting assembly; 197. an electric liquid suction pipe; 20. a water bath tank; 21. a liquid adding table; 22. shaking up the instrument; 23. and a mechanical arm II.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
In addition, the descriptions of the "first," "second," and the like, herein are for descriptive purposes only and are not intended to be specifically construed as order or sequence, nor are they intended to limit the invention solely for distinguishing between components or operations described in the same technical term, but are not to be construed as indicating or implying any relative importance or order of such features. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, technical solutions and technical features between the embodiments may be combined with each other, but it is necessary to base that a person skilled in the art can implement the combination of technical solutions, when the combination of technical solutions contradicts or cannot be implemented, should be considered that the combination of technical solutions does not exist, and is not within the scope of protection claimed by the present invention.
The invention provides the following examples
Example 1
The embodiment of the invention provides an automatic detection system for silicon content in a middle carbon ferromanganese refining process, which comprises an image detection system, wherein the image detection system comprises:
the sample test box is used for providing a condensing environment for the image detection sample;
the information acquisition unit is used for acquiring actual sample information of the image detection sample condensation process;
and the comparison unit is used for comparing the actual sample information of the image detection sample with the standard sample information of the standard sample condensation process with different silicon contents, and judging that the silicon content concentration of the image detection sample is the same as the silicon content concentration of the standard sample when the similarity between the actual sample information of the image detection sample and the standard sample information of a certain standard sample condensation process exceeds a threshold value.
And when the silicon content concentration of the image detection sample is close to the silicon content concentration required by tapping, performing accurate silicon content detection.
In this embodiment, the sample information includes: the surface smoothness of the sample, the liquid fluidity of the sample, the fracture color of the sample and the black skin morphology of the sample;
preferably, the analysis process can be to input the condensation data of various patterns with different silicon contents in advance and train out a neural network model, and comprehensively judge the silicon content in the patterns through the model and the current pattern information; the condensation data of various patterns with different silicon contents can be input in advance, and the silicon content can be obtained by comparing the collected data with the previous data.
The beneficial effects of the technical scheme are as follows:
the silicon content in the sample can be automatically identified, the limit of manually identifying the sample can be eliminated, the accuracy of silicon content measurement of the sample can be improved, and a reliable data base is provided for adjusting the silicon content in the refining process. When the silicon content concentration of the image detection sample is close to the silicon content concentration required by tapping, the silicon content concentration in the medium-carbon ferromanganese can be further accurately measured by performing accurate silicon content detection, so that the production quality of the medium-carbon ferromanganese can be more finely controlled.
Example 2
On the basis of embodiment 1, as shown in fig. 1-2, the device further comprises an accurate detection unit, wherein the accurate detection unit comprises:
a sample preparation unit for preparing a precise detection sample and configuring a test reagent;
the automatic transfer device is used for carrying out transportation of the reaction container;
a test unit for adding test reagents to the reaction vessel and providing a test environment for the reaction vessel;
the silicon content detection unit is used for obtaining the silicon content in the medium-carbon ferromanganese according to the test result of the test unit;
and the control module is electrically connected with the sample manufacturing unit, the automatic transfer device, the test unit and the silicon content detection unit.
Preferably, the sample preparation unit includes system appearance platform 1, system appearance platform 1 upper surface installs weighing platform 2, heating furnace 3, reagent frame 4, reaction platform 5, cooling platform 6 and monitoring module 7, fixedly connected with heating frame 8 on the heating furnace 3, heating frame 8 is used for bearing the reaction vessel, reagent frame 4 is used for depositing test reagent, fixedly connected with drip frame 9 and purge pipe 10 on the reaction platform 5, the centre gripping has drip pipe 11 on the drip frame 9, be provided with the vibrations base on the reaction platform 5, monitoring module 7 is used for obtaining the real-time image of test procedure, one side of system appearance platform 1 is provided with mechanical arm one 12, mechanical arm one 12 is used for moving the reaction vessel on the system appearance platform 1 and moves the reaction vessel to automatic transfer device, system appearance platform 1 internally mounted has water purification case 13 and waste water case 14.
Preferably, the automatic transfer device comprises a transportation frame 15, a sliding block 16 is arranged on the transportation frame 15, and a placing groove 17 is formed in the upper surface of the sliding block 16.
Preferably, the test unit includes test bench 18, install pipetting platform 19, water bath 20, liquid feeding platform 21 and shake even appearance 22 on the test bench 18, pipetting platform 19 is used for carrying out the pipetting operation between the reaction vessel, water bath 20 is used for carrying out the water bath heating to the reaction vessel, liquid feeding platform 21 is used for dropwise adding test reagent and pure water in the reaction vessel, multiunit liquid feeding platform 21 is used for splendid attire different test reagent, shake even appearance 22 and be used for shaking the solution in the reaction vessel even, one side of test bench 18 is provided with mechanical arm two 23, mechanical arm two 23 is used for taking the reaction vessel from automatic transfer device.
The silicon content detection unit includes:
the absorbance detection module is used for detecting absorbance of the solution in the reaction container after the completion of the partial reaction;
a storage module for storing a silicon content-absorbance curve;
and the analysis module is used for obtaining the silicon content in the medium-carbon ferromanganese according to the corresponding point position in the silicon content-absorbance curve of the solution in the reaction container after the reaction is completed, which is detected by the absorbance detection module.
In this embodiment, actual operating parameters of the refining furnace include: air permeability index, cold air flow, blast kinetic energy, furnace belly gas index, theoretical combustion temperature, cold air pressure, actual wind speed, hot air temperature and the like. The absorbance detection module is used for detecting the absorbance of the solution in the reaction container;
in this example, the silicon content-absorbance curve is a curve in which the absorbance of a solution of different silicon content concentration is subtracted by the absorbance of a solution of zero concentration on the ordinate and the silicon content concentration on the abscissa.
In this example, the analysis of the silicon content concentration is as follows; firstly, detecting the absorbance of a solution to be detected and that of a comparison group solution by utilizing an absorbance detection module, subtracting the absorbance of the comparison group solution from the absorbance of the solution to be detected to obtain absorbance for analysis, and searching the corresponding silicon content concentration according to the corresponding point position of the absorbance for analysis in a silicon content-absorbance curve.
According to different refining requirements, an image detection system or an accurate detection unit is selected for detection; alternatively, the image detection system or the accurate detection unit may be used for detection (the frequency of operation of the accurate detection unit is smaller than that of the image detection system).
The beneficial effects of the technical scheme are as follows:
when the silicon content is detected, firstly, a certain amount of sample is weighed on a weighing platform 2 and put into a reaction container, a certain amount of nitric acid solution is dripped into the reaction container, a surface dish is covered on the upper side of the reaction container, the reaction container is put into a heating furnace 3 for heating through a first mechanical arm 12, the image of the reaction container is monitored in real time through a monitoring component 7, after yellow smoke in the reaction container disappears, the first mechanical arm 12 takes the reaction container out of the heating furnace 3 and places the reaction container on a reaction platform 5, different reaction solvents (comprising the use of a purging pipe 10 for purging the inner wall of the reaction container) are dripped into the reaction container through a dripping pipe 11 in sequence, the reaction container is rocked through a vibrating base while the reaction solvent is dripped, when the reaction solvent is required to be replaced, the reaction container is put into a cooling platform 6 for cooling through running water after the reaction, and the sample is manufactured by volume fixing.
The manufactured sample is taken and placed in a placing groove 17 by a mechanical arm I12, the sample is transported to an experimental unit by moving on a transport frame 15 through a sliding block 16, and the sample is taken out of a placing groove 17 II and placed on a test stand 18 by a mechanical arm II 23.
A certain amount of sample is removed from the sample through a pipetting platform 19 and enters a volumetric flask, an iron matrix solution is added into the removed sample, a reaction solvent is sequentially added into the volumetric flask and is placed into a water bath box 20 for heating and standing, the volumetric flask is taken out and placed on a shaking instrument 22 for shaking uniformly after standing for a period of time, finally, the silicon content is detected on a silicon content-absorbance curve through detecting the absorbance of the sample,
the automatic configuration of sample and experimental reagent has been realized through sample preparation unit, has accomplished the automatic transportation of reaction vessel through automatic transfer device, has reduced the manual operation in the experimentation, has reduced artifical intensity of labour, has improved the security of experimentation, through the addition of control module accurate control experimental reagent, has improved the degree of accuracy of testing result, has improved detection efficiency simultaneously, has shortened detection time.
Example 3
On the basis of embodiment 2, pipetting station 19 is including placing the platform 191, places the platform 191 upper surface and is provided with two and places the hole 192 that set up side by side, places the platform 191 upper surface fixedly connected with mounting bracket 193, fixedly connected with on the mounting bracket 193 slides the seat 194, slides and is connected with translation piece 195 along left and right sides direction on the seat 194, translation piece 195 lower surface fixedly connected with lifting assembly 196, installs electronic drawing liquid pipe 197 on the lifting assembly 196.
The beneficial effects of the technical scheme are as follows:
when pipetting, firstly, a reaction vessel filled with a solution is placed in one of the placement holes 192, another empty reaction vessel is placed in the other placement hole 192, the translation block 195 is firstly moved to the position above the reaction vessel filled with the solution, the electric pipetting tube 197 is lowered and stretches into the solution through the lifting assembly 196, the electric pipetting tube 197 works to withdraw a certain amount of solution, after the pipetting is completed, the electric pipetting tube 197 is lifted up until the lower end of the electric pipetting tube 197 is higher than the upper wall of the reaction vessel through the lifting assembly 196, the translation block 195 is moved to the position above the empty reaction vessel, the electric pipetting tube 197 stretches into the empty reaction vessel through the lowering of the lifting assembly 196, a certain amount of solution is released, and then the electric pipetting tube 197 is lifted up through the lifting assembly 196 to leave the empty reaction vessel, so that pipetting is completed.
After the pipetting operation is finished, cleaning liquid enters the electric liquid suction pipe 197 to finish cleaning of the electric liquid suction pipe 197, accuracy of each test result is guaranteed, the electric liquid suction pipe 197 stretches into the reaction container when the solution is released, splashing of the solution is avoided, accuracy of the pipetting amount is guaranteed, and meanwhile the solution is prevented from splashing out to pollute the monitoring environment.
Example 4
On the basis of examples 2-3, a silicon content prediction unit is further included, the silicon content prediction unit including:
the refining furnace working condition acquisition unit is used for acquiring actual working parameters of the refining furnace;
the predicting unit is used for obtaining the predicted silicon content concentration of the medium-carbon ferromanganese in the refining furnace after detecting the silicon content concentration in the current medium-carbon ferromanganese sample for a period of time;
the verification unit is used for calculating the deviation degree of the predicted silicon content concentration obtained by the prediction unit and the actual silicon content concentration of ferromanganese in the refining furnace after detecting the silicon content concentration in the current medium-carbon ferromanganese sample for a period of time;
and the alarm unit is used for alarming when the deviation degree is greater than a preset alarm threshold value.
Preferably, the prediction unit obtains the predicted silicon content concentration according to a first formula:
wherein S is it The method comprises the steps that after the ith detection of a silicon content detection unit is carried out to obtain the time t of the silicon content concentration in a medium-carbon ferromanganese sample, the predicted silicon content concentration in a refining furnace is obtained; m is m i0 The silicon content in the medium carbon ferromanganese sample is obtained by the ith detection of the silicon content detection unit; v (V) i When the silicon content detection unit detects the silicon content concentration in the carbon ferromanganese sample for the ith time, the total volume of the sample solution in the reaction container after the reaction is completed; m is m i The quality of a sample used for preparing a solution when the silicon content concentration in the carbon ferromanganese sample is detected for the ith time by the silicon content detection unit; v (V) i0 D, the volume of the sample solution which is separated by the absorbance detection module when the silicon content concentration in the medium-carbon ferromanganese sample is detected by the silicon content detection unit for the ith time i For the i-th detection of the concentration of silicon in the C-Mn-Fe sampleCold air flow index of refining furnace at the same time of degree, b 1i C is the cold air pressure index of the refining furnace in the ith detection, c i B is the hot air temperature index of the refining furnace in the ith detection, b 2i The hot air pressure index of the refining furnace in the ith detection is u, the air permeability index of the refining furnace is u, M is the total detection times, and w i The ith detection of the silicon content detection unit is used for obtaining the silicon content concentration, w, in the medium-carbon ferromanganese sample i-1 The silicon content concentration, T, in the medium carbon ferromanganese sample is obtained by the i-1 th detection of the silicon content detection unit i For the sampling time of the ith detection and the interval time of the sampling of the ith-1 th detection, t is the duration of the predicted time point from the sampling time of the ith detection, y is the actual temperature in the refining furnace, y 0 Is the theoretical temperature in the refining furnace; ln is natural logarithm, e is natural constant;
the cold air flow index is a value reflecting the deviation degree of the actual cold air flow and the standard cold air flow,d is d, for the actual cold air flow in the refining furnace i0 The standard cold air flow in the refining furnace;
the cold air pressure index is a value reflecting the deviation degree of the actual cold air pressure and the standard cold air pressure,b 1is b for the actual cold air pressure in the refining furnace 1i0 Is the standard cold air pressure in the refining furnace;
the hot air temperature index is a value reflecting the deviation degree of the actual hot air temperature and the standard hot air temperature,c is c, for the actual hot air temperature in the refining furnace i0 The temperature of the hot air is the standard hot air temperature in the refining furnace;
the hot air pressure index is a value reflecting the deviation degree of the actual hot air pressure and the standard hot air pressure,b 2is b for actual hot air pressure in the refining furnace 2i0 Is the standard hot air pressure in the refining furnace.
Preferably, the verification unit calculates the comprehensive deviation degree of the prediction result through a formula II and a formula III, wherein the formula II is as follows:
wherein p is it After the ith detection of the silicon content detection unit is carried out to obtain the time t of the silicon content concentration in the medium-carbon ferromanganese sample, the predicted silicon content concentration and the actual silicon content concentration in the refining furnaceM, m it For obtaining the sample mass, V, of the sample after the time t from the ith detection of the silicon content detection unit to the silicon content concentration in the medium-carbon ferromanganese sample it0 The ith detection of the silicon content detection unit is used for obtaining the volume, m, of the sample solution which is detected and separated when the sample is sampled and detected after the time t of the silicon content concentration in the medium-carbon ferromanganese sample is obtained it0 The ith detection of the silicon content detection unit is used for obtaining the silicon content in the medium-carbon ferromanganese sample after the time t of the silicon content concentration in the medium-carbon ferromanganese sample is sampled and detected, V it Obtaining the total volume of a sample solution in sampling detection after the time t of the silicon content concentration in the medium-carbon ferromanganese sample for the ith detection of the silicon content detection unit; a is that 1 In M times of detection, the absolute value of the first deviation is larger than the first preset value; p (P) M In M times of detection, the comprehensive deviation degree of the prediction result is obtained.
The beneficial effects of the technical scheme are as follows:
since the detection process requires time, refining is still performed in the refining furnace during the detection process, the silicon content in the refining furnace is compared with the silicon content detected from the sampleThe data has hysteresis byThe average speed of the silicon content change in the refining furnace during this refining process is calculated according to +.>The influence of the actual temperature in the blast furnace on the silicon content change speed is corrected, and the silicon content change speed in the refining furnace is corrected according to +.>The method has the advantages that the influence of cold and hot air working data in the refining furnace on the change speed of the silicon content in the refining furnace is corrected, the accuracy of the predicted data is ensured by correcting the change speed of the silicon content in the refining furnace for a plurality of times, the requirement for predicting the change condition of the silicon content in the refining furnace after a certain time according to the existing detection result is met, the silicon content in the refining furnace is predicted according to the detection result, the difference between the detection result caused by the detection time and the silicon content in the refining furnace is reduced, the detection frequency can be effectively reduced according to the prediction result, the working pressure of staff is reduced, the influence of the difference of the detection process time on the accuracy of the prediction result is reduced, and the silicon content of the refining furnace in the refining process can be controlled more accurately.
Meanwhile, the detection data obtained during the detection is compared with the prediction data obtained based on the detection data during the previous detection, when the deviation degree is in a preset range, the prediction of the silicon content in the refining furnace is more accurate, the strength of the refining reaction in the refining furnace accords with the expectation in the period from the last sampling to the current sampling, and each working parameter is in a reasonable range; when the deviation exceeds the preset range, the deviation between the last sampling and the time period of the sampling proves that the refining reaction state in the refining furnace deviates from the predicted reaction state, an alarm unit alarms to remind workers to check the reaction conditions in the refining furnace and the working parameters of the refining furnace, countermeasures are formulated in time, the detection frequency is improved until the refining reaction intensity in the refining furnace returns to the expected range, the safety of the reaction process is ensured, the silicon content of the finally refined medium-carbon ferromanganese is ensured to be in the expected range, and the refining efficiency is improved.
Embodiment 5, based on embodiment 4, further comprising a correction module, configured to correct the predicted silicon content concentration obtained by the first formula based on the integrated deviation;
detecting the ith time of the corrected silicon content detection unit to obtain the silicon content concentration t time in the medium-carbon ferromanganese sample, and predicting the silicon content concentration in the refining furnace; s is S it The method comprises the steps that after the time t of the silicon content concentration in a medium-carbon ferromanganese sample is obtained by the ith detection of a silicon content detection unit before correction, the predicted silicon content concentration in a refining furnace is obtained; b (B) 1 For p in M assays it Times greater than 0, B 2 For p in M assays it Times less than 0, P M0 Is P M Corresponding preset reference value ln is natural logarithm; c (C) 1 For M times of detection, p it P greater than 0 it Average value of (2); c (C) 2 For M times of detection, p it |p smaller than 0 it Average of i.
The beneficial effects of the technical scheme are as follows:
when the comprehensive deviation degree is large and the production state of the refining furnace is normal, the model for obtaining the predicted silicon content concentration is adjusted and obtained according to the actual production state of the refining furnace, and the model for predicting the silicon content concentration is adjusted and obtained Based on a certain number of predictions, a first deviation p it Is different from the distribution (p) it Times greater than 0, p it Times p less than 0 it P greater than 0 it Average value of p it |p smaller than 0 it Average value of I), the model for obtaining the predicted silicon content concentration is more adaptive to the actual production state of the refining furnace through the correction.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. A silicon content automatic detection system in a middle carbon ferromanganese refining process is characterized in that: comprising an image detection system comprising:
the sample test box is used for providing a condensing environment for the image detection sample;
the information acquisition unit is used for acquiring actual sample information of the image detection sample condensation process;
and the comparison unit is used for comparing the actual sample information of the image detection sample with the standard sample information of the standard sample condensation process with different silicon contents, and judging that the silicon content concentration of the image detection sample is the same as the silicon content concentration of the standard sample when the similarity between the actual sample information of the image detection sample and the standard sample information of a certain standard sample condensation process exceeds a threshold value.
2. The automatic silicon content detection system for the middle carbon ferromanganese refining process according to claim 1, wherein the automatic silicon content detection system is characterized in that: still include accurate detecting element, accurate detecting element includes:
a sample preparation unit for preparing a precise detection sample and configuring a test reagent;
the automatic transfer device is used for carrying out transportation of the reaction container;
a test unit for adding test reagents to the reaction vessel and providing a test environment for the reaction vessel;
the silicon content detection unit is used for obtaining the silicon content in the medium-carbon ferromanganese according to the test result of the test unit;
and the control module is electrically connected with the sample manufacturing unit, the automatic transfer device, the test unit and the silicon content detection unit.
3. The automatic silicon content detection system for the middle carbon ferromanganese refining process according to claim 2, wherein the automatic silicon content detection system is characterized in that: the sample preparation unit includes system appearance platform (1), surface mounting has weighing platform (2) on system appearance platform (1), heating furnace (3), reagent frame (4), reaction platform (5), cooling platform (6) and monitoring module (7), fixedly connected with heating frame (8) on heating furnace (3), heating frame (8) are used for bearing the reaction vessel, reagent frame (4) are used for depositing test reagent, fixedly connected with dropwise add frame (9) and blow and wash pipe (10) on reaction platform (5), the centre gripping has dropwise add pipe (11) on dropwise add frame (9), be provided with vibration base on reaction platform (5), monitoring module (7) are used for obtaining the real-time image of test procedure, one side of system appearance platform (1) is provided with mechanical arm one (12), mechanical arm one (12) are used for moving the reaction vessel on system appearance platform (1) and move to automatic transfer device with the reaction vessel, system appearance platform (1 internally mounted has clean water tank (13) and waste water tank (14).
4. The automatic silicon content detection system for the middle carbon ferromanganese refining process according to claim 2, wherein the automatic silicon content detection system is characterized in that: the automatic transfer device comprises a transport frame (15), a sliding block (16) is arranged on the transport frame (15), and a placing groove (17) is formed in the upper surface of the sliding block (16).
5. The automatic silicon content detection system for the middle carbon ferromanganese refining process according to claim 2, wherein the automatic silicon content detection system is characterized in that: the test unit comprises a test bed (18), a liquid transferring table (19), a water bath tank (20), a liquid adding table (21) and a shaking instrument (22) are arranged on the test bed (18), the liquid transferring table (19) is used for conducting liquid transferring operation between reaction containers, the water bath tank (20) is used for conducting water bath heating on the reaction containers, the liquid adding table (21) is used for dropwise adding test reagents and purified water into the reaction containers, the plurality of groups of liquid adding tables (21) are used for containing different test reagents, the shaking instrument (22) is used for shaking the solutions in the reaction containers, a mechanical arm II (23) is arranged on one side of the test bed (18), and the mechanical arm II (23) is used for taking the reaction containers from the automatic transfer device.
6. The automatic silicon content detection system for the middle carbon ferromanganese refining process according to claim 2, wherein the automatic silicon content detection system is characterized in that: the silicon content detection unit includes:
the absorbance detection module is used for detecting absorbance of the solution in the reaction container after the completion of the partial reaction;
a storage module for storing a silicon content-absorbance curve;
and the analysis module is used for obtaining the silicon content in the medium-carbon ferromanganese according to the corresponding point position in the silicon content-absorbance curve of the solution in the reaction container after the reaction is completed, which is detected by the absorbance detection module.
7. The automatic silicon content detection system for the middle carbon ferromanganese refining process according to claim 2, wherein the automatic silicon content detection system is characterized in that: still include the silicon content prediction unit, the silicon content prediction unit includes:
the refining furnace working condition acquisition unit is used for acquiring actual working parameters of the refining furnace;
the predicting unit is used for obtaining the predicted silicon content concentration of the medium-carbon ferromanganese in the refining furnace after detecting the silicon content concentration in the current medium-carbon ferromanganese sample for a period of time;
the verification unit is used for calculating the deviation degree of the predicted silicon content concentration obtained by the prediction unit and the actual silicon content concentration of the medium-carbon ferromanganese in the refining furnace after detecting the silicon content concentration in the current medium-carbon ferromanganese sample for a period of time;
and the alarm unit is used for alarming when the deviation degree is greater than a preset alarm threshold value.
8. The automatic silicon content detection system for the middle carbon ferromanganese refining process according to claim 7, wherein the automatic silicon content detection system is characterized in that: the prediction unit obtains the predicted silicon content concentration according to a formula I, wherein the formula I is as follows:
wherein S is it The method comprises the steps that after the ith detection of a silicon content detection unit is carried out to obtain the time t of the silicon content concentration in a medium-carbon ferromanganese sample, the predicted silicon content concentration in a refining furnace is obtained; m is m i0 The silicon content in the medium carbon ferromanganese sample is obtained by the ith detection of the silicon content detection unit; v (V) i When the silicon content detection unit detects the silicon content concentration in the carbon ferromanganese sample for the ith time, the total volume of the sample solution in the reaction container after the reaction is completed; m is m i The quality of a sample used for preparing a solution when the silicon content concentration in the carbon ferromanganese sample is detected for the ith time by the silicon content detection unit; v (V) i0 D, the volume of the sample solution which is separated by the absorbance detection module when the silicon content concentration in the medium-carbon ferromanganese sample is detected by the silicon content detection unit for the ith time i B, a cold air flow index of the refining furnace when the silicon content concentration in the medium-carbon ferromanganese sample is detected for the ith time 1i C is the cold air pressure index of the refining furnace in the ith detection, c i B is the hot air temperature index of the refining furnace in the ith detection, b 2i The hot air pressure index of the refining furnace in the ith detection is u, the air permeability index of the refining furnace is u, M is the total detection times, and w i The ith detection of the silicon content detection unit is used for obtaining the silicon content concentration, w, in the medium-carbon ferromanganese sample i-1 The silicon content concentration, T, in the medium carbon ferromanganese sample is obtained by the i-1 th detection of the silicon content detection unit i For the sampling time of the ith detection and the interval time of the sampling of the ith-1 th detection, t is the duration of the predicted time point from the sampling time of the ith detection, y is the actual temperature in the refining furnace, y 0 Is the theoretical temperature in the refining furnaceThe method comprises the steps of carrying out a first treatment on the surface of the ln is natural logarithm, e is natural constant;
the cold air flow index is a value reflecting the deviation degree of the actual cold air flow and the standard cold air flow,d is d, for the actual cold air flow in the refining furnace i0 The standard cold air flow in the refining furnace;
the cold air pressure index is a value reflecting the deviation degree of the actual cold air pressure and the standard cold air pressure,b 1is b for the actual cold air pressure in the refining furnace 1i0 Is the standard cold air pressure in the refining furnace;
the hot air temperature index is a value reflecting the deviation degree of the actual hot air temperature and the standard hot air temperature,c is c, for the actual hot air temperature in the refining furnace i0 The temperature of the hot air is the standard hot air temperature in the refining furnace;
the hot air pressure index is a value reflecting the deviation degree of the actual hot air pressure and the standard hot air pressure,b 2is b for actual hot air pressure in the refining furnace 2i0 Is the standard hot air pressure in the refining furnace.
9. The automatic silicon content detection system for the middle carbon ferromanganese refining process according to claim 7, wherein the automatic silicon content detection system is characterized in that: the verification unit calculates the comprehensive deviation degree of the prediction result through a formula II and a formula III, wherein the formula II is as follows:
wherein p is it After the ith detection of the silicon content detection unit is carried out to obtain the time t of the silicon content concentration in the medium-carbon ferromanganese sample, the predicted silicon content concentration and the actual silicon content concentration in the refining furnaceM, m it For obtaining the sample mass, V, of the sample after the time t from the ith detection of the silicon content detection unit to the silicon content concentration in the medium-carbon ferromanganese sample it0 The ith detection of the silicon content detection unit is used for obtaining the volume, m, of the sample solution which is detected and separated when the sample is sampled and detected after the time t of the silicon content concentration in the medium-carbon ferromanganese sample is obtained it0 The ith detection of the silicon content detection unit is used for obtaining the silicon content in the medium-carbon ferromanganese sample after the time t of the silicon content concentration in the medium-carbon ferromanganese sample is sampled and detected, V it Obtaining the total volume of a sample solution in sampling detection after the time t of the silicon content concentration in the medium-carbon ferromanganese sample for the ith detection of the silicon content detection unit; a is that 1 In M times of detection, the absolute value of the first deviation is larger than the first preset value; p (P) M In M times of detection, the comprehensive deviation degree of the prediction result is obtained.
10. The automatic silicon content detection system for the middle carbon ferromanganese refining process according to claim 9, wherein the automatic silicon content detection system is characterized in that: the correction module is used for correcting the predicted silicon content concentration obtained by the formula I based on the comprehensive deviation degree;
ith time of corrected silicon content detection unitDetecting the silicon content concentration t time in the medium-carbon ferromanganese sample, and predicting the silicon content concentration in the refining furnace; s is S it The method comprises the steps that after the time t of the silicon content concentration in a medium-carbon ferromanganese sample is obtained by the ith detection of a silicon content detection unit before correction, the predicted silicon content concentration in a refining furnace is obtained; b (B) 1 For p in M assays it Times greater than 0, B 2 For p in M assays it Times less than 0, P M0 Is P M Corresponding preset reference value ln is natural logarithm; c (C) 1 For M times of detection, p it P greater than 0 it Average value of (2); c (C) 2 For M times of detection, p it |p smaller than 0 it Average of i.
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