CN115541564B - Method, device and system for monitoring mixed condition of smelting melt and electronic equipment - Google Patents
Method, device and system for monitoring mixed condition of smelting melt and electronic equipment Download PDFInfo
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- CN115541564B CN115541564B CN202211472346.2A CN202211472346A CN115541564B CN 115541564 B CN115541564 B CN 115541564B CN 202211472346 A CN202211472346 A CN 202211472346A CN 115541564 B CN115541564 B CN 115541564B
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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
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/71—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light thermally excited
- G01N21/718—Laser microanalysis, i.e. with formation of sample plasma
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P10/00—Technologies related to metal processing
- Y02P10/20—Recycling
Abstract
The invention discloses a method, a device and a system for monitoring a mixed condition of a smelting melt and electronic equipment. The method comprises the following steps: acquiring standard spectral data; carrying out continuous spectrum acquisition in the process of discharging the smelting melt to obtain acquired spectrum data; and calculating the correlation coefficient of the acquired spectral data and the standard spectral data, and obtaining the mixing condition of the smelting melt according to the maximum value in the calculation result. The method can realize fast and effective monitoring of the mixed condition.
Description
Technical Field
The invention relates to the technical field of smelting, in particular to a method, a device and a system for monitoring a mixed condition of a smelting melt and electronic equipment.
Background
The principle of slag material and target material layering is utilized in the metal smelting process, corresponding materials are discharged through different discharge ports, but the layering position in the furnace cannot be accurately judged or cannot be thoroughly separated, so that the target materials are brought out in the slag material discharging process, or the slag materials are brought out in the target material discharging process.
Taking copper smelting as an example, the mixing of materials can lead to the representative deterioration of an off-line detection result, thereby influencing the process regulation and control, and the slag mixed with excessive copper matte can explode when being subjected to water quenching, thereby causing safety accidents. Thus, hybrid condition monitoring is important in both economic and safety production, and there is no quick and effective technical means in the related art to solve the problem.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art. Therefore, the first purpose of the invention is to provide a method for monitoring the mixed condition of the smelting melt, so as to quickly and effectively monitor the mixed condition.
A second object of the present invention is to provide an electronic device.
The third purpose of the invention is to provide a monitoring device for the mixed condition of the smelting melt.
The fourth purpose of the invention is to provide a monitoring system for the mixed condition of the smelting melt.
In order to achieve the above object, a method for monitoring a mixed condition of a smelting melt is provided in an embodiment of a first aspect of the present invention, the method comprising: acquiring standard spectral data; carrying out continuous spectrum acquisition in the process of discharging the smelting melt to obtain acquired spectrum data; and calculating a correlation coefficient of the acquired spectral data and the standard spectral data, and obtaining the mixing condition of the smelting melt according to the maximum value in the calculation result.
In order to achieve the above object, a second embodiment of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the computer program is executed by the processor to implement the above monitoring method for smelt molten mixture.
In order to achieve the above object, a third aspect of the present invention provides an apparatus for monitoring a contamination state of a molten metal, the apparatus comprising: the acquisition module is used for acquiring standard spectral data; the acquisition module is used for carrying out continuous spectrum acquisition in the smelting melt discharge process to obtain acquired spectrum data; and the comparison module is used for calculating the correlation coefficient of the acquired spectral data and the standard spectral data and obtaining the mixing condition of the smelting melt according to the maximum value in the calculation result.
In order to achieve the above object, a fourth aspect of the present invention provides a monitoring system for monitoring a mixed condition of a smelting melt, including: the laser-induced breakdown spectrometer is used for carrying out continuous spectrum acquisition in the process of discharging the smelting melt; the monitoring device for the mixed condition of the smelting melt.
According to the method, the device and the system for monitoring the mixed condition of the smelting melt and the electronic equipment, the standard spectrum data are obtained; carrying out continuous spectrum acquisition in the process of discharging the smelting melt to obtain acquired spectrum data; and calculating the correlation coefficient of the acquired spectral data and the standard spectral data, and obtaining the mixing condition of the smelting melt according to the maximum value in the calculation result. Therefore, the hybrid condition can be quickly and effectively monitored.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flow chart of a method of monitoring smelt mixing conditions according to one embodiment of the present invention;
FIG. 2 is a target material spectrum for an example of the present invention;
FIG. 3 is a slag spectrum of an example of the present invention;
FIG. 4 is a block diagram of a monitoring device for monitoring the mixed condition of the smelting melt according to an embodiment of the present invention;
FIG. 5 is a block diagram of a system for monitoring the contamination of a metallurgical melt according to an embodiment of the present invention.
Detailed Description
The method, apparatus, system and electronic device for monitoring the contamination of a metallurgical melt according to the embodiments of the present invention will be described with reference to the accompanying drawings, in which the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described with reference to the drawings are illustrative and should not be construed as limiting the invention.
FIG. 1 is a flow chart of a method of monitoring smelt mixing conditions in accordance with one embodiment of the present invention.
As shown in figure 1, the monitoring method for the mixed condition of the smelting melt comprises the following steps:
and S11, acquiring standard spectrum data.
Specifically, before smelting is needed, standard spectral data of a to-be-smelted object is obtained, and the standard spectral data points to a target material.
The standard spectral data can comprise target material standard spectral data and slag standard spectral data. At this time, in order to obtain the standard spectral data, target material spectral data and slag spectral data under N target material concentrations may be obtained, where N is an integer greater than 1; selecting M parts from the N pairs of target material spectral data and slag spectral data; respectively carrying out spectrum intensity mean calculation on the target material spectrum data and the slag spectrum data of each selected part to obtain M pairs of target material spectrum and slag spectrum; and taking the M item standard material spectrums as standard spectrum data of the target material, and taking the M slag spectrums as standard spectrum data of the slag.
The selecting M parts from the N pairs of target material spectral data and slag spectral data may be dividing the N pairs of target material spectral data and slag spectral data into M parts according to the sequence of target material concentration from high to low or from low to high, so as to perform the spectral intensity averaging operation on the target material spectral data and the slag spectral data in each part respectively to obtain M pairs of target material spectra and slag spectra. The value of M is in the range of 18 to 22, and may be, for example, 20. The target material spectrum may refer to a specific example shown in fig. 2, and the slag spectrum may refer to a specific example shown in fig. 3, where an abscissa is an index and points to a number of a wavelength band, in this example, each wavelength band is numbered by using 1 to 6141, an ordinate is light intensity, a unit is an arbitrary unit, M target material spectra shown in fig. 2 are combined into a set a, and then target material standard spectrum data may be obtained, and M slag spectra shown in fig. 3 are combined into a set B, and then a slag standard spectrum set may be obtained.
Alternatively, the standard spectral data may be obtained by a method of obtaining a spectrum by using a LIBS (Laser-Induced Breakdown Spectroscopy) system after a laboratory melts a standard solid sample, and then establishing a standard database.
And S12, carrying out continuous spectrum acquisition in the smelting melt discharging process to obtain acquired spectrum data.
And S13, calculating the correlation coefficient of the acquired spectral data and the standard spectral data, and obtaining the mixing condition of the smelting melt according to the maximum value in the calculation result.
Specifically, assuming that the acquired spectral data includes H spectra, performing correlation coefficient calculation on each spectrum in the acquired spectral data and each spectrum in the target material standard spectral data to obtain H first correlation coefficient sets; and (4) performing correlation coefficient calculation on each spectrum in the acquired spectral data and each spectrum in the slag standard spectral data to obtain H second correlation coefficient sets. The range of H is 900 to 1100, and may be 1000, for example.
Further, for each first correlation coefficient set, obtaining a first correlation coefficient maximum value in the first correlation coefficient set, and for each second correlation coefficient set, obtaining a second correlation coefficient maximum value in the second correlation coefficient set, so as to classify the spectrum in the collected spectrum data according to the H first correlation coefficient maximum values and the H second correlation coefficient maximum values, and obtain the intermixing condition of the smelting melt according to the classification result.
In an embodiment of the invention, the classifying the spectra in the collected spectral data according to the H first maximum correlation coefficients and the H second maximum correlation coefficients includes: for each pair of the first correlation coefficient maximum value and the second correlation coefficient maximum value; if the maximum value of the first correlation coefficient is larger than a preset correlation coefficient threshold value, classifying the corresponding spectrum into a first type of spectrum; if the maximum value of the second correlation coefficient is larger than a preset correlation coefficient threshold value, classifying the corresponding spectrum into a second spectrum; and if the maximum value of the first correlation coefficient and the maximum value of the second correlation coefficient are both less than or equal to a preset correlation coefficient threshold value, classifying the corresponding spectrum into a third spectrum. The value range of the preset correlation coefficient threshold is 0.8 to 0.9, and may be, for example, 0.85.
The method for obtaining the mixed condition of the smelting melt according to the classification result comprises the following steps:
confounding factors are obtained according to the following formula:
wherein the content of the first and second substances,
is a slag mixed factor, and is a slag mixed factor,
is a complete mixed factor, and is a mixed factor,
the number of spectra contained in the first type of spectrum, the second type of spectrum, and the third type of spectrum, respectively.
After the mixed factor is obtained, the mixed condition is obtained according to the slag mixed factor and the full mixed factor, and the mixed condition is the proportion of other materials except the target material.
The following describes an embodiment of the present invention in detail with reference to a specific example, which includes the following steps.
Step 1: and (4) acquiring LIBS spectrum data of the molten matte and the slag with different concentrations by using an LIBS system.
Step 2: the obtained matte spectrum and slag spectrum were divided into 20 parts according to the Cu concentration.
And 3, step 3: and averaging all the spectra in each data to obtain 20 matte characteristic spectra and slag characteristic spectra with different Cu concentrations, and constructing the matte characteristic spectra and the slag characteristic spectra into a set A and a set B.
And 4, step 4: and (4) carrying out continuous spectrum collection in the process of discharging the melt in the field smelting, and respectively carrying out correlation coefficient calculation on each collected spectrum and each characteristic spectrum in the sets A and B to obtain correlation coefficient sets a and B.
And 5: the correlation coefficient threshold is set to 0.85.
Step 6: solving the maximum values of the set a and the set b respectively, and recording the maximum values as
，
。
And 7: if it is
More than 0.85 of the spectrum addition set
If at all
If the value is more than 0.85, the spectrum is added
If the average value is less than 0.85, adding the aggregate
。
And 8: in step 4, a confounding condition is output every time 1000 spectra are collected, and a calculation formula of confounding factors is as follows:
wherein
Represents the slag inclusion factor and the slag inclusion factor,
is a complete mixed factor, and is a mixed factor,
are respectively a set
Length of (d).
In summary, the monitoring method for the mixed condition of the smelting melt of the embodiment of the invention obtains the standard spectrum data; carrying out continuous spectrum acquisition in the process of discharging the smelting melt to obtain acquired spectrum data; and calculating the correlation coefficient of the acquired spectral data and the standard spectral data, and obtaining the mixing condition of the smelting melt according to the maximum value in the calculation result. Therefore, the mixed condition can be quickly and effectively monitored.
Further, the invention provides an electronic device.
In an embodiment of the present invention, the electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the computer program is executed by the processor, the method for monitoring the smelt mixed condition is implemented.
According to the electronic equipment provided by the embodiment of the invention, by implementing the method for monitoring the mixed condition of the smelting melt, standard spectrum data can be obtained; carrying out continuous spectrum acquisition in the process of discharging the smelting melt to obtain acquired spectrum data; and calculating the correlation coefficient of the acquired spectral data and the standard spectral data, and obtaining the mixing condition of the smelting melt according to the maximum value in the calculation result. Therefore, the mixed condition can be quickly and effectively monitored.
Furthermore, the invention provides a device for monitoring the mixed condition of the smelting melt.
FIG. 4 is a block diagram of a monitoring device for monitoring the mixed state of the smelting melt according to an embodiment of the present invention.
As shown in fig. 4, the monitoring device 100 for monitoring the mixed condition of the smelting melt comprises: the device comprises an acquisition module 101, an acquisition module 102 and a comparison module 103.
Specifically, the acquiring module 101 is configured to acquire standard spectral data; the acquisition module 102 is used for performing continuous spectrum acquisition in the process of discharging the smelting melt to obtain acquired spectrum data; and the comparison module 103 is used for calculating the correlation coefficient of the acquired spectral data and the standard spectral data and obtaining the mixing condition of the smelting melt according to the maximum value in the calculation result.
In addition, for other specific embodiments of the monitoring device for monitoring the mixed condition of the molten metal according to the embodiment of the present invention, reference may be made to the above monitoring method for the mixed condition of the molten metal.
The monitoring device for the smelting melt condition of the embodiment of the invention obtains standard spectrum data; carrying out continuous spectrum acquisition in the process of discharging the smelting melt to obtain acquired spectrum data; and calculating the correlation coefficient of the acquired spectral data and the standard spectral data, and obtaining the mixing condition of the smelting melt according to the maximum value in the calculation result. Therefore, the mixed condition can be quickly and effectively monitored.
Further, the invention provides a monitoring system for the mixed condition of the smelting melt.
FIG. 5 is a block diagram of a system for monitoring the contamination of a metallurgical melt according to an embodiment of the present invention.
As shown in fig. 5, a monitoring system 10 for smelt mixing conditions includes: the laser-induced breakdown spectrometer 200 is used for carrying out continuous spectrum collection in the discharge process of the smelting melt; the monitoring device 100 for the mixed condition of the smelting melt.
According to the monitoring system for the mixed condition of the smelting melt, provided by the embodiment of the invention, the standard spectrum data can be obtained through the monitoring device for the mixed condition of the smelting melt; carrying out continuous spectrum acquisition in the process of discharging the smelting melt to obtain acquired spectrum data; and calculating the correlation coefficient of the acquired spectral data and the standard spectral data, and obtaining the mixing condition of the smelting melt according to the maximum value in the calculation result. Therefore, the mixed condition can be quickly and effectively monitored.
It should be noted that the logic and/or steps illustrated in the flowcharts or otherwise described herein may be considered as a sequential list of executable instructions for implementing logical functions, and may be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
In the description of the present specification, the terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (5)
1. A method of monitoring smelt intermixing conditions, the method comprising:
acquiring standard spectral data;
carrying out continuous spectrum acquisition in the process of discharging the smelting melt to obtain acquired spectrum data;
calculating a correlation coefficient of the acquired spectral data and the standard spectral data, and obtaining the mixing condition of the smelting melt according to the maximum value in the calculation result;
the standard spectral data comprises target material standard spectral data and slag standard spectral data, and the acquiring of the standard spectral data comprises:
acquiring target material spectral data and slag spectral data under N target material concentrations, wherein N is an integer greater than 1;
selecting M parts from the N pairs of target material spectral data and slag spectral data;
respectively carrying out spectrum intensity mean calculation on the target material spectrum data and the slag spectrum data of each selected part to obtain M pairs of target material spectrum and slag spectrum;
taking M target material spectrums as standard target material spectrum data, and taking M slag spectrums as standard slag spectrum data;
the collecting spectral data comprises H spectra, and the calculating of the correlation coefficient of the collecting spectral data and the standard spectral data comprises the following steps:
calculating a correlation coefficient of each spectrum in the acquired spectral data and each spectrum in the target material standard spectral data to obtain H first correlation coefficient sets;
calculating a correlation coefficient of each spectrum in the acquired spectral data and each spectrum in the slag standard spectral data to obtain H second correlation coefficient sets;
the obtaining of the intermixing condition of the smelting melt according to the maximum value in the calculation results comprises:
for each first correlation coefficient set, obtaining a maximum value of the first correlation coefficient in the first correlation coefficient set;
for each second correlation coefficient set, obtaining a maximum value of a second correlation coefficient number in the second correlation coefficient set;
classifying the spectrum in the collected spectrum data according to the H first correlation coefficient maximum values and the H second correlation coefficient maximum values, and obtaining the mixing condition of the smelting melt according to the classification result;
the classifying the spectra in the collected spectral data according to the H first correlation coefficient maxima and the H second correlation coefficient maxima includes:
for each pair of the first correlation coefficient maximum value and the second correlation coefficient maximum value,
if the maximum value of the first correlation coefficient is larger than a preset correlation coefficient threshold value, classifying the corresponding spectrum into a first type of spectrum;
if the maximum value of the second correlation coefficient is larger than the preset correlation coefficient threshold value, classifying the corresponding spectrum into a second spectrum;
if the maximum value of the first correlation coefficient and the maximum value of the second correlation coefficient are both smaller than or equal to the preset correlation coefficient threshold value, classifying the corresponding spectrum into a third spectrum;
the obtaining of the mixed condition of the smelting melt according to the classification result comprises the following steps:
confounding factors are obtained according to the following formula:
wherein, C 1 Is a slag confounding factor, C 2 Is a complete miscellaneous factor,/ 1 ，l 2 ，l 3 The number of spectra included in the first type of spectrum, the second type of spectrum, and the third type of spectrum, respectively;
obtaining the mixing condition according to the slag mixing factor and the full mixing factor;
wherein, select M from N to target material spectral data and slag spectral data, include:
and dividing the N pairs of target material spectral data and slag spectral data into M parts according to the sequence of the target material concentration from high to low or from low to high.
2. The method of claim 1, wherein M is in the range of 18 to 22.
3. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program when executed by the processor implementing the method of monitoring smelt melt intermixing as defined in any one of claims 1 to 2.
4. An apparatus for monitoring the intermixing of a smelt melt, the apparatus comprising:
the acquisition module is used for acquiring standard spectral data;
the acquisition module is used for carrying out continuous spectrum acquisition in the process of discharging the smelting melt to obtain acquired spectrum data;
the comparison module is used for calculating the correlation coefficient of the acquired spectral data and the standard spectral data and obtaining the mixing condition of the smelting melt according to the maximum value in the calculation result;
the standard spectral data comprises target material standard spectral data and slag standard spectral data, and the acquiring of the standard spectral data comprises:
acquiring target material spectral data and slag spectral data under N target material concentrations, wherein N is an integer greater than 1;
selecting M parts from the N pairs of target material spectral data and slag spectral data;
respectively carrying out spectrum intensity mean calculation on the target material spectrum data and the slag spectrum data of each selected part to obtain M pairs of target material spectrum and slag spectrum;
taking M target material spectrums as standard target material spectrum data, and taking M slag spectrums as standard slag spectrum data;
the collecting spectral data comprises H spectra, and the calculating of the correlation coefficient of the collecting spectral data and the standard spectral data comprises the following steps:
calculating a correlation coefficient of each spectrum in the acquired spectral data and each spectrum in the target material standard spectral data to obtain H first correlation coefficient sets;
calculating a correlation coefficient of each spectrum in the acquired spectral data and each spectrum in the slag standard spectral data to obtain H second correlation coefficient sets;
the obtaining of the intermixing condition of the smelting melt according to the maximum value in the calculation results comprises:
for each first correlation coefficient set, obtaining a maximum value of the first correlation coefficient in the first correlation coefficient set;
for each second correlation coefficient set, obtaining a maximum value of a second correlation coefficient number in the second correlation coefficient set;
classifying the spectrum in the collected spectrum data according to the H first correlation coefficient maximum values and the H second correlation coefficient maximum values, and obtaining the mixing condition of the smelting melt according to the classification result;
the classifying the spectra in the collected spectral data according to the H first correlation coefficient maxima and the H second correlation coefficient maxima includes:
for each pair of the first correlation coefficient maximum value and the second correlation coefficient maximum value,
if the maximum value of the first correlation coefficient is larger than a preset correlation coefficient threshold value, classifying the corresponding spectrum into a first type of spectrum;
if the maximum value of the second correlation coefficient is larger than the preset correlation coefficient threshold value, classifying the corresponding spectrum into a second spectrum;
if the maximum value of the first correlation coefficient and the maximum value of the second correlation coefficient are both smaller than or equal to the preset correlation coefficient threshold value, classifying the corresponding spectrum into a third spectrum;
the obtaining of the mixed condition of the smelting melt according to the classification result comprises the following steps:
confounding factors are obtained according to the following formula:
wherein, C 1 Is a slag confounding factor, C 2 Is a complete miscellaneous factor,/ 1 ，l 2 ，l 3 The number of spectra contained in the first type of spectrum, the second type of spectrum and the third type of spectrum respectively;
obtaining the mixing condition according to the slag mixing factor and the full mixing factor;
wherein, select M in N to target material spectral data and slag spectral data, include:
and dividing the N pairs of target material spectral data and slag spectral data into M parts according to the sequence of the target material concentration from high to low or from low to high.
5. A system for monitoring smelt melt blending conditions, comprising:
the laser-induced breakdown spectrometer is used for carrying out continuous spectrum acquisition in the process of discharging the smelting melt;
a metallurgical melt admixture condition monitoring apparatus as claimed in claim 4.
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| JP7445118B2 (en) * | 2019-12-27 | 2024-03-07 | 日本製鉄株式会社 | Identification method for goethite adsorbed phosphorus in iron ore |
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| US7072770B1 (en) * | 2004-03-29 | 2006-07-04 | Chemimage Corporation | Method for identifying components of a mixture via spectral analysis |
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