A method for detecting mineral phase of potassium salt based on thermal infrared hyperspectrum

Abstract

The application discloses a kind of potassium salt mineral phase detection methods based on thermal infrared hyperspectrum, it is related to phase quantitative analysis technical field, the method comprises: obtaining the emissivity data of the potassium salt sample to be measured detected by thermal infrared hyperspectrum imaging system, and the emissivity data of the potassium salt sample is pretreated;According to the quantitative calculation formula of mineral after pretreated emissivity data and mineral, the mineral content of potassium salt sample is determined;Wherein, the quantitative calculation formula of mineral is determined according to the method of competitive self-adaptive reweighted sampling and partial least squares regression.The mineral content of potassium salt sample can be determined simply, quickly and accurately by the application.

Description

Technical Field

[0001] This invention relates to the field of quantitative phase analysis technology, and in particular to a method for detecting potassium salt mineral phases based on thermal infrared hyperspectroscopy. Background Technology

[0002] China is a major agricultural country with a huge demand for potash fertilizer. Nearly four-fifths of domestic potash producers utilize processes such as flotation. To improve the utilization rate of potash resources, upgrade potash production technology, and facilitate real-time monitoring of potash composition during flotation, a simple, rapid, and accurate method for detecting potash composition needs to be developed.

[0003] There are several conventional methods for determining the composition of potash salts: sodium tetraphenylborate gravimetric method, flame atomic absorption spectrophotometry, derivative spectrophotometry, inductively coupled plasma atomic emission spectrometry, and X-ray fluorescence analysis. Each of these five methods has its advantages in terms of detection time, detection limit, and application range. Among them, the sodium tetraphenylborate gravimetric method and benchtop X-ray fluorescence analyzer are widely used in the testing workshops of potash plants. However, these five methods can only detect the ion content in potash salts and cannot directly detect the mineral content. In the actual potash flotation production process, the mineral content data of intermediate products more directly reflects the production status, provides feedback on production information, and helps upstream and downstream processes adjust process parameters in a timely manner, such as feed rate, flotation reagent dosage, and aeration rate, thereby improving potash production efficiency.

[0004] To improve the utilization rate of potassium resources, enhance potassium salt production technology, and facilitate real-time monitoring of potassium salt composition during potassium salt flotation production, it is necessary to develop a simple, fast, and accurate method for detecting potassium salt composition. Summary of the Invention

[0005] Therefore, the purpose of this invention is to provide a method for detecting the phase composition of potassium salt minerals based on thermal infrared hyperspectroscopy.

[0006] To achieve the above objectives, the present invention provides the following solution:

[0007] A method for detecting the phase composition of potassium salt minerals based on thermal infrared hyperspectroscopy, comprising:

[0008] The emissivity data of the potassium salt sample to be measured is obtained by the thermal infrared hyperspectral imaging system, and the emissivity data of the potassium salt sample is preprocessed.

[0009] The mineral content of the potassium salt sample was determined based on the preprocessed emissivity data and the mineral quantification formula; wherein the mineral quantification formula was determined using a competitive adaptive reweighted sampling and partial least squares regression method.

[0010] Optionally, before performing the step of acquiring emissivity data of the potassium salt sample to be measured detected by a thermal infrared hyperspectral imaging system, the following steps are also included:

[0011] The potassium salt blocks are standardized to obtain potassium salt samples; the standardization process includes compaction and surface drying of the samples.

[0012] Optionally, the compaction and surface drying treatment involves compacting the potassium salt block with a pressure of 5-15 MPa, and then drying the compacted potassium salt block at 30-100℃ for 10-300 minutes.

[0013] Optionally, the mineral composition of the potassium salt sample is molten potassium magnesium sulfate, potassium chloride, magnesium sulfate and sodium chloride.

[0014] Optionally, the thermal infrared hyperspectral imaging system applied to the potassium salt sample is a thermal infrared hyperspectral imaging system with a spectral range of 8–12 μm, a spectral resolution of ≤5 cm⁻¹, and a wavenumber of ≥90.

[0015] Optionally, the quantitative calculation formula for minerals includes a characteristic wavelength and a calculation formula, wherein,

[0016] The characteristic wavelengths of soft potassium magnesium sulfate are 8.34um, 8.54um, 8.65um, 8.75um, 8.86um, 9.21um, 9.53um, 9.58um, 9.62um, 9.98um, 10.12um, 10.42um, 10.68um, 11.01um and 11.36um;

[0017] The formula for calculating the content of soft potassium magnesium sulfate is:

[0018] Y1=-4.26+0.36X1+4.49X2+8.57X3-9.34X4+4.63X5+5.41X6-7.98X7+3.46X8-

[0019] 4.55X9+2.24X 10 -3.07X 11 -2.45X 12 +2.31X 13 -1.83X 14 +2.21X 15 ;

[0020] In the formula for calculating the content of soft potassium magnesium sulfate, X1 is the emissivity corresponding to a characteristic wavelength of 8.34 μm, X2 is the emissivity corresponding to a characteristic wavelength of 8.54 μm, X3 is the emissivity corresponding to a characteristic wavelength of 8.65 μm, X4 is the emissivity corresponding to a characteristic wavelength of 8.75 μm, X5 is the emissivity corresponding to a characteristic wavelength of 8.86 μm, X6 is the emissivity corresponding to a characteristic wavelength of 9.21 μm, X7 is the emissivity corresponding to a characteristic wavelength of 9.53 μm, X8 is the emissivity corresponding to a characteristic wavelength of 9.58 μm, X9 is the emissivity corresponding to a characteristic wavelength of 9.62 μm, and X... 10 X represents the emissivity at a characteristic wavelength of 9.98 μm. 11 X represents the emissivity at a characteristic wavelength of 10.12 μm. 12 X represents the emissivity at a characteristic wavelength of 10.42 μm. 13 X represents the emissivity at a characteristic wavelength of 10.68 μm. 14 X represents the emissivity at a characteristic wavelength of 11.01 μm. 15 The emissivity is the emissivity corresponding to a characteristic wavelength of 11.36 μm.

[0021] Optionally, the quantitative calculation formula for minerals includes a characteristic wavelength and a calculation formula, wherein,

[0022] The characteristic wavelengths of potassium chloride are 8.44 μm, 8.48 μm, 8.54 μm, 8.65 μm, 8.72 μm, 8.86 μm, 9.21 μm, 9.45 μm, 9.53 μm, 9.58 μm, 9.62 μm, 9.66 μm, 9.98 μm, 10.63 μm, 10.68 μm, 11.01 μm, 11.18 μm, and 11.24 μm.

[0023] The formula for calculating potassium chloride content is:

[0024] Y2=5.10-7.20X1+1.12X2+2.52X3-3.46X4+2.17X5+5.39X6-4.50X7-2.0

[0025] 0X8+5.77X9+3.28X 10 +3.53X 11 +3.61X 12 -5.35X 13 -3.33X 14 -5.19X 15 +0.67X 16 +0.53X 17 -2.15X 18 ;

[0026] In the formula for calculating potassium chloride content, X1 is the emissivity at a characteristic wavelength of 8.44 μm, X2 is the emissivity at a characteristic wavelength of 8.48 μm, X3 is the emissivity at a characteristic wavelength of 8.54 μm, X4 is the emissivity at a characteristic wavelength of 8.65 μm, X5 is the emissivity at a characteristic wavelength of 8.72 μm, X6 is the emissivity at a characteristic wavelength of 8.86 μm, X7 is the emissivity at a characteristic wavelength of 9.21 μm, X8 is the emissivity at a characteristic wavelength of 9.45 μm, X9 is the emissivity at a characteristic wavelength of 9.53 μm, and X... 10 X represents the emissivity at a characteristic wavelength of 9.58 μm. 11 X represents the emissivity at a characteristic wavelength of 9.62 μm. 12 X represents the emissivity at a characteristic wavelength of 9.66 μm. 13 X represents the emissivity at a characteristic wavelength of 9.98 μm. 14 X represents the emissivity at a characteristic wavelength of 10.63 μm. 15 X represents the emissivity at a characteristic wavelength of 10.68 μm. 16 X represents the emissivity at a characteristic wavelength of 11.01 μm. 17 X represents the emissivity at a characteristic wavelength of 11.18 μm. 18 This represents the emissivity at a characteristic wavelength of 11.24 μm.

[0027] Optionally, the quantitative calculation formula for minerals includes a characteristic wavelength and a calculation formula, wherein,

[0028] The characteristic wavelengths of magnesium sulfate are: 8.51um, 8.58um, 8.90um, 9.13um, 9.62um, 10.12um, 10.22um, 10.42um, 10.68um and 10.84um;

[0029] The formula for calculating magnesium sulfate content is:

[0030] Y3=-0.18+1.34X1+2.26X2-2.99X3+2.42X4-1.84X5-3.88X6+1.15X7+1.82X8+

[0031] 3.06X9-2.96X 10 ;

[0032] In the formula for calculating magnesium sulfate content, X1 is the emissivity at a characteristic wavelength of 8.51 μm, X2 is the emissivity at a characteristic wavelength of 8.58 μm, X3 is the emissivity at a characteristic wavelength of 8.90 μm, X4 is the emissivity at a characteristic wavelength of 9.13 μm, X5 is the emissivity at a characteristic wavelength of 9.62 μm, X6 is the emissivity at a characteristic wavelength of 10.12 μm, X7 is the emissivity at a characteristic wavelength of 10.22 μm, X8 is the emissivity at a characteristic wavelength of 10.42 μm, and X9 is the emissivity at a characteristic wavelength of 10.68 μm. 10 This represents the emissivity at a characteristic wavelength of 10.84 μm.

[0033] Optionally, the quantitative calculation formula for minerals includes a characteristic wavelength and a calculation formula, wherein,

[0034] The characteristic wavelengths of sodium chloride are 8.34 μm, 8.68 μm, 8.72 μm, 8.79 μm, 8.83 μm, 8.94 μm, 9.45 μm, 9.71 μm, 11.01 μm and 11.36 μm;

[0035] The formula for calculating sodium chloride content is:

[0036] Y4=0.16+0.14X1+0.24X2+0.18X3+0.19X4+0.14X5-0.25X6-0.21X7-0.14X8-0.

[0037] 13X9-0.28X 10 ;

[0038] In the formula for calculating sodium chloride content, X1 is the emissivity at a characteristic wavelength of 8.34 μm, X2 is the emissivity at a characteristic wavelength of 8.68 μm, X3 is the emissivity at a characteristic wavelength of 8.72 μm, X4 is the emissivity at a characteristic wavelength of 8.79 μm, X5 is the emissivity at a characteristic wavelength of 8.83 μm, X6 is the emissivity at a characteristic wavelength of 8.94 μm, X7 is the emissivity at a characteristic wavelength of 9.45 μm, X8 is the emissivity at a characteristic wavelength of 9.71 μm, X9 is the emissivity at a characteristic wavelength of 11.01 μm, and X... 10 The emissivity is the emissivity corresponding to a characteristic wavelength of 11.36 μm.

[0039] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0040] This invention introduces thermal infrared hyperspectral technology into the production and detection of potash. By acquiring thermal infrared hyperspectral data of potash, high-precision emissivity data is retrieved and a database is established. Combined with advanced chemometric analysis methods, quantitative calculation formulas corresponding to potash minerals are used to predict the mineral content of potash samples.

[0041] This method for detecting potassium salt composition belongs to the category of quantitative phase analysis technology. Compared with commonly used elemental / ion quantitative analysis techniques, it can obtain mineral phase content data in a timely manner and has a faster testing speed. This method is an optical testing technique, radiation-free, safe to operate, and does not require high shielding levels. It can continuously test a large number of samples, making it highly valuable for application. This invention, based on thermal infrared hyperspectral analysis of potassium salt phase composition, not only has good practical value for potassium salt production detection but also provides valuable research reference for the development of production monitoring technologies for other similar minerals with characteristics in the thermal infrared band, thus broadening the field of production detection technology development. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0043] Figure 1 This is a schematic flowchart of a method for detecting the phase composition of potassium salt minerals based on thermal infrared hyperspectroscopy according to the present invention.

[0044] Figure 2 This is an overall flowchart of a method for detecting the phase composition of potassium salt minerals based on thermal infrared hyperspectroscopy according to the present invention.

[0045] Figure 3 This is a graph showing the parameters of the potassium salt sample obtained in this invention. Figure 3 (a) is an emissivity data graph acquired by the thermal infrared hyperspectral imaging system. Figure 3 (b) is a graph showing the percentage content of four different components in potassium salt minerals;

[0046] Figure 4 This is a graph showing the results of CARS-PLSR data analysis using the thermal infrared hyperspectral database of this invention. Figure 4 (a) is the error plot of the empirical model of soft potassium magnesium alum. Figure 4 (b) is the error plot of the empirical model for potassium chloride; Figure 4 (c) is the error plot of the empirical model for magnesium sulfate. Figure 4 (d) is the error plot of the empirical model for sodium chloride;

[0047] Figure 5 This is a schematic diagram of the detection results of a certain potassium salt according to the present invention; Figure 5 (a) is a graph of emissivity data of a potassium salt obtained by the method of the present invention; Figure 5 (b) is a graph showing the prediction results of a certain potassium salt calculated using the method of the present invention. Detailed Implementation

[0048] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] This invention develops a rapid technique for directly detecting and analyzing potash salts of different mineral phases, guiding actual production and significantly contributing to the maximization of potash resource development and utilization. Specifically, based on thermal infrared hyperspectroscopy, this invention develops a method for detecting the phase composition of potash minerals. This method achieves high prediction accuracy and fast detection speed for phase detection of intermediate products in potash production. Furthermore, the development approach of this technique is applicable to the development of detection technologies for other similar minerals, demonstrating a degree of universality.

[0050] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0051] Example 1

[0052] like Figure 1 As shown, this embodiment of the invention provides a method for detecting the phases of potassium salt minerals based on thermal infrared hyperspectroscopy, including:

[0053] Step 100: Obtain the emissivity data of the potassium salt sample to be measured by the thermal infrared hyperspectral imaging system, and preprocess the emissivity data of the potassium salt sample.

[0054] Step 200: Determine the mineral content of the potassium salt sample based on the preprocessed emissivity data and the mineral quantification formula; wherein the mineral quantification formula is determined by competitive adaptive reweighted sampling and partial least squares regression.

[0055] Before performing step 100, the following is also included:

[0056] The potassium salt blocks are standardized to obtain potassium salt samples; the standardization process includes compaction and surface drying of the samples.

[0057] The compaction and surface drying process involves compacting the potassium salt blocks with a pressure of 5-15 MPa, and then drying the compacted potassium salt blocks at 30-100℃ for 10-300 minutes.

[0058] The thermal infrared hyperspectral imaging system applied to the potassium salt sample has a spectral range of 8–12 μm and a spectral resolution of ≤5 cm⁻¹. -1 Thermal infrared hyperspectral imaging system with a wavenumber ≥ 90.

[0059] The mineral composition of the potassium salt sample includes molten potassium magnesium sulfate, potassium chloride, magnesium sulfate, and sodium chloride.

[0060] After preprocessing the emissivity data of the potassium salt sample, the preprocessed emissivity data is further sampled according to the characteristic wavelength of each mineral component to obtain the emissivity corresponding to each wavelength.

[0061] Then, based on the emissivity corresponding to the characteristic wavelength of each mineral component and the mineral quantitative calculation formula, the mineral content of the potassium salt sample is determined.

[0062] The detailed process is as follows:

[0063] The quantitative calculation formula for minerals includes characteristic wavelengths and calculation formulas, wherein,

[0064] The characteristic wavelengths of soft potassium magnesium sulfate are 8.34um, 8.54um, 8.65um, 8.75um, 8.86um, 9.21um, 9.53um, 9.58um, 9.62um, 9.98um, 10.12um, 10.42um, 10.68um, 11.01um and 11.36um;

[0065] The formula for calculating the content of soft potassium magnesium sulfate is:

[0066] Y1=-4.26+0.36X1+4.49X2+8.57X3-9.34X4+4.63X5+5.41X6-7.98X7+3.46X8-

[0067] 4.55X9+2.24X 10 -3.07X 11 -2.45X 12 +2.31X 13 -1.83X 14 +2.21X 15 .

[0068] In the formula for calculating the content of soft potassium magnesium sulfate, X1 is the emissivity corresponding to a characteristic wavelength of 8.34 μm, X2 is the emissivity corresponding to a characteristic wavelength of 8.54 μm, X3 is the emissivity corresponding to a characteristic wavelength of 8.65 μm, X4 is the emissivity corresponding to a characteristic wavelength of 8.75 μm, X5 is the emissivity corresponding to a characteristic wavelength of 8.86 μm, X6 is the emissivity corresponding to a characteristic wavelength of 9.21 μm, X7 is the emissivity corresponding to a characteristic wavelength of 9.53 μm, X8 is the emissivity corresponding to a characteristic wavelength of 9.58 μm, X9 is the emissivity corresponding to a characteristic wavelength of 9.62 μm, and X... 10 X represents the emissivity at a characteristic wavelength of 9.98 μm. 11 X represents the emissivity at a characteristic wavelength of 10.12 μm. 12 X represents the emissivity at a characteristic wavelength of 10.42 μm. 13 X represents the emissivity at a characteristic wavelength of 10.68 μm. 14 X represents the emissivity at a characteristic wavelength of 11.01 μm. 15 The emissivity is the emissivity corresponding to a characteristic wavelength of 11.36 μm.

[0069] The characteristic wavelengths of potassium chloride are 8.44 μm, 8.48 μm, 8.54 μm, 8.65 μm, 8.72 μm, 8.86 μm, 9.21 μm, 9.45 μm, 9.53 μm, 9.58 μm, 9.62 μm, 9.66 μm, 9.98 μm, 10.63 μm, 10.68 μm, 11.01 μm, 11.18 μm, and 11.24 μm.

[0070] The formula for calculating potassium chloride content is:

[0071] Y2=5.10-7.20X1+1.12X2+2.52X3-3.46X4+2.17X5+5.39X6-4.50X7-2.0

[0072] 0X8+5.77X9+3.28X 10 +3.53X 11 +3.61X 12 -5.35X 13 -3.33X 14 -5.19X 15 +0.67X 16 +0.53X 17 -2.15X 18 .

[0073] In the formula for calculating potassium chloride content, X1 is the emissivity at a characteristic wavelength of 8.44 μm, X2 is the emissivity at a characteristic wavelength of 8.48 μm, X3 is the emissivity at a characteristic wavelength of 8.54 μm, X4 is the emissivity at a characteristic wavelength of 8.65 μm, X5 is the emissivity at a characteristic wavelength of 8.72 μm, X6 is the emissivity at a characteristic wavelength of 8.86 μm, X7 is the emissivity at a characteristic wavelength of 9.21 μm, X8 is the emissivity at a characteristic wavelength of 9.45 μm, X9 is the emissivity at a characteristic wavelength of 9.53 μm, and X... 10 X represents the emissivity at a characteristic wavelength of 9.58 μm. 11 X represents the emissivity at a characteristic wavelength of 9.62 μm. 12 X represents the emissivity at a characteristic wavelength of 9.66 μm. 13 X represents the emissivity at a characteristic wavelength of 9.98 μm. 14 X represents the emissivity at a characteristic wavelength of 10.63 μm. 15 X represents the emissivity at a characteristic wavelength of 10.68 μm. 16 X represents the emissivity at a characteristic wavelength of 11.01 μm. 17 X represents the emissivity at a characteristic wavelength of 11.18 μm. 18 This represents the emissivity at a characteristic wavelength of 11.24 μm.

[0074] The characteristic wavelengths of magnesium sulfate are: 8.51um, 8.58um, 8.90um, 9.13um, 9.62um, 10.12um, 10.22um, 10.42um, 10.68um and 10.84um;

[0075] The formula for calculating magnesium sulfate content is:

[0076] Y3=-0.18+1.34X1+2.26X2-2.99X3+2.42X4-1.84X5-3.88X6+1.15X7+1.82X8+

[0077] 3.06X9-2.96X 10 .

[0078] In the formula for calculating magnesium sulfate content, X1 is the emissivity at a characteristic wavelength of 8.51 μm, X2 is the emissivity at a characteristic wavelength of 8.58 μm, X3 is the emissivity at a characteristic wavelength of 8.90 μm, X4 is the emissivity at a characteristic wavelength of 9.13 μm, X5 is the emissivity at a characteristic wavelength of 9.62 μm, X6 is the emissivity at a characteristic wavelength of 10.12 μm, X7 is the emissivity at a characteristic wavelength of 10.22 μm, X8 is the emissivity at a characteristic wavelength of 10.42 μm, and X9 is the emissivity at a characteristic wavelength of 10.68 μm. 10 This represents the emissivity at a characteristic wavelength of 10.84 μm.

[0079] The characteristic wavelengths of sodium chloride are 8.34 μm, 8.68 μm, 8.72 μm, 8.79 μm, 8.83 μm, 8.94 μm, 9.45 μm, 9.71 μm, 11.01 μm and 11.36 μm;

[0080] The formula for calculating sodium chloride content is:

[0081] Y4=0.16+0.14X1+0.24X2+0.18X3+0.19X4+0.14X5-0.25X6-0.21X7-0.14X8-0.

[0082] 13X9-0.28X 10 .

[0083] In the formula for calculating sodium chloride content, X1 is the emissivity at a characteristic wavelength of 8.34 μm, X2 is the emissivity at a characteristic wavelength of 8.68 μm, X3 is the emissivity at a characteristic wavelength of 8.72 μm, X4 is the emissivity at a characteristic wavelength of 8.79 μm, X5 is the emissivity at a characteristic wavelength of 8.83 μm, X6 is the emissivity at a characteristic wavelength of 8.94 μm, X7 is the emissivity at a characteristic wavelength of 9.45 μm, X8 is the emissivity at a characteristic wavelength of 9.71 μm, X9 is the emissivity at a characteristic wavelength of 11.01 μm, and X... 10 The emissivity is the emissivity corresponding to a characteristic wavelength of 11.36 μm.

[0084] Example 2

[0085] This invention provides a method for detecting the phase composition of potassium salt minerals based on thermal infrared hyperspectroscopy, such as... Figure 2As shown, the main components include: 1) constructing a potassium salt thermal infrared hyperspectral database by standardizing a set number of potassium salt minerals with known components and collaborating with a thermal infrared hyperspectral (TIH) imaging system; 2) analyzing the potassium salt thermal infrared hyperspectral database using competitive adaptive reweighted sampling (CARS) and partial least squares regression (PLSR) methods to obtain a quantitative calculation formula for potassium salt minerals; 3) predicting the mineral content of the potassium salt sample to be measured by predicting its mineral content using the aforementioned mineral quantitative calculation formula. This invention uses a thermal infrared hyperspectral (TIH) imaging system, combined with wavelength selection and multivariate regression model training, to obtain an empirical formula for potassium salt thermal infrared hyperspectral analysis, enabling rapid detection of potassium salt mineral content and thus meeting the needs of practical production testing.

[0086] A total of 104 samples of products from a certain stage of potash production in Lop Nur were collected. The mineral content of each sample was determined by a combination of methods including XRD and chemical titration. The results are as follows: Figure 3 As shown in (b). For each sample, 5g was taken, compressed into tablets using a mold at 5MPa pressure, and then dried at 50–60℃ for approximately 10 minutes. Spectral data for each sample were acquired using a thermal infrared hyperspectral imaging system, and the emissivity data was obtained using the ISSTES algorithm. The results are shown in (b). Figure 3 As shown in (a), wavelength selection was performed using adaptive competitive reweighted sampling (CARS). Then, based on their respective characteristic wavelengths, partial least squares regression (PLSR) was used to establish quantitative calculation formulas for predicted minerals, including soft potassium magnesium sulfate, potassium chloride, magnesium sulfate, and sodium chloride. The results are shown in (a). Figure 4 As shown in (a), (b), (c), and (d), the relative analytical error (RPD) values ​​for both soft potassium magnesium alum and potassium chloride are >4, while the RPD values ​​for both magnesium sulfate and sodium chloride are >2.

[0087] Take another 5g of product from the Lop Nur potash production section and standardize it. Use the Hyper-Cam-LW hyperspectral imaging system to acquire sample data, and use the ISSTES algorithm to obtain sample emissivity data, such as... Figure 5 As shown in (a), the characteristic wavelengths of molten potassium magnesium sulfate, potassium chloride, magnesium sulfate, and sodium chloride were substituted into the mineral quantitative calculation formula to calculate the sample composition. The predicted results are as follows. Figure 5 As shown in (b), the content of potassium magnesium sulfate is 72%, with an error of 1.5%; potassium chloride is 20.8%, with an error of -0.5%; magnesium sulfate is 4%, with an error of 0.4%; and sodium chloride is 0.9%, with an error of -0.3%.

[0088] This method establishes a high-quality thermal infrared hyperspectral (TIH) database for potash and, combined with wavelength screening and multivariate regression model training, obtains a quantitative calculation formula for potash mineral content. This enables rapid detection of potash phase components, thus meeting the needs of practical production testing. Compared with other quantitative and semi-quantitative mineral analysis techniques, such as X-ray diffraction, X-ray fluorescence analysis, atomic absorption and chemical titration analysis, this technique is based on optical principles, is safe and harmless, and offers fast reaction speed and simple operation. It is not only suitable for the production testing of potash minerals but also applicable to other minerals with characteristic spectra in the thermal infrared band.

[0089] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0090] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for detecting the phase composition of potassium salt minerals based on thermal infrared hyperspectroscopy, characterized in that, include: The emissivity data of the potassium salt sample to be measured is obtained by a thermal infrared hyperspectral imaging system, and the emissivity data of the potassium salt sample is preprocessed. The mineral content of the potassium salt sample was determined based on the preprocessed emissivity data and the mineral quantification formula. The mineral components of the potassium salt sample were molten potassium magnesium sulfate, potassium chloride, magnesium sulfate, and sodium chloride. The mineral quantification formula was determined using a competitive adaptive reweighted sampling and partial least squares regression method.

2. The method for detecting the phase composition of potassium salt minerals based on thermal infrared hyperspectroscopy according to claim 1, characterized in that, Before performing the step of acquiring emissivity data of the potassium salt sample to be measured using a thermal infrared hyperspectral imaging system, the following steps are also included: The potassium salt blocks are standardized to obtain potassium salt samples; the standardization process includes compaction and surface drying of the samples.

3. The method for detecting the phase composition of potassium salt minerals based on thermal infrared hyperspectroscopy according to claim 2, characterized in that, The compaction and surface drying process involves compacting the potassium salt blocks with a pressure of 5-15 MPa, and then drying the compacted potassium salt blocks at 30-100℃ for 10-300 minutes.

4. The method for detecting the phase composition of potassium salt minerals based on thermal infrared hyperspectroscopy according to claim 1, characterized in that, The thermal infrared hyperspectral imaging system applied to the potassium salt sample has a spectral range of 8–12 μm and a spectral resolution ≤5 cm⁻¹. -1 Thermal infrared hyperspectral imaging system with a wavenumber ≥ 90.

5. The method for detecting the phase composition of potassium salt minerals based on thermal infrared hyperspectroscopy according to claim 1, characterized in that, The quantitative calculation formula for minerals includes characteristic wavelengths and calculation formulas, wherein, The characteristic wavelengths of soft potassium magnesium sulfate are 8.34 μm, 8.54 μm, 8.65 μm, 8.75 μm, 8.86 μm, 9.21 μm, 9.53 μm, 9.58 μm, 9.62 μm, 9.98 μm, 10.12 μm, 10.42 μm, 10.68 μm, 11.01 μm and 11.36 μm; The formula for calculating the content of soft potassium magnesium sulfate is: Y1=-4.26+0.36X1+4.49X2+8.57X3-9.34X4+4.63X5+5.41X6-7.98X7+3.46X8-4.55X9+2.24X 10 -3.07X 11 -2.45X 12 +2.31X 13 -1.83X 14 +2.21X 15 ; In the formula for calculating the content of soft potassium magnesium sulfate, X1 is the emissivity corresponding to a characteristic wavelength of 8.34 μm, X2 is the emissivity corresponding to a characteristic wavelength of 8.54 μm, X3 is the emissivity corresponding to a characteristic wavelength of 8.65 μm, X4 is the emissivity corresponding to a characteristic wavelength of 8.75 μm, X5 is the emissivity corresponding to a characteristic wavelength of 8.86 μm, X6 is the emissivity corresponding to a characteristic wavelength of 9.21 μm, X7 is the emissivity corresponding to a characteristic wavelength of 9.53 μm, X8 is the emissivity corresponding to a characteristic wavelength of 9.58 μm, X9 is the emissivity corresponding to a characteristic wavelength of 9.62 μm, and X... 10 X represents the emissivity at a characteristic wavelength of 9.98 μm. 11 X represents the emissivity at a characteristic wavelength of 10.12 μm. 12 X represents the emissivity at a characteristic wavelength of 10.42 μm. 13 X represents the emissivity at a characteristic wavelength of 10.68 μm. 14 X represents the emissivity corresponding to a characteristic wavelength of 11.01 μm. 15 The emissivity is the emissivity corresponding to a characteristic wavelength of 11.36 μm.

6. The method for detecting the phase composition of potassium salt minerals based on thermal infrared hyperspectroscopy according to claim 1, characterized in that, The quantitative calculation formula for minerals includes characteristic wavelengths and calculation formulas, wherein, The characteristic wavelengths of potassium chloride are 8.44 μm, 8.48 μm, 8.54 μm, 8.65 μm, 8.72 μm, 8.86 μm, 9.21 μm, 9.45 μm, 9.53 μm, 9.58 μm, 9.62 μm, 9.66 μm, 9.98 μm, 10.63 μm, 10.68 μm, 11.01 μm, 11.18 μm, and 11.24 μm. The formula for calculating potassium chloride content is: Y2=5.10-7.20X1+1.12X2+2.52X3-3.46X4+2.17X5+5.39X6-4.50X7-2.00X8+5.77X9+3.28X 10 +3.53X 11 +3.61X 12 -5.35X 13 -3.33X 14 -5.19X 15 +0.67X 16 +0.53X 17 -2.15X 18 ; In the formula for calculating potassium chloride content, X1 is the emissivity at a characteristic wavelength of 8.44 μm, X2 is the emissivity at a characteristic wavelength of 8.48 μm, X3 is the emissivity at a characteristic wavelength of 8.54 μm, X4 is the emissivity at a characteristic wavelength of 8.65 μm, X5 is the emissivity at a characteristic wavelength of 8.72 μm, X6 is the emissivity at a characteristic wavelength of 8.86 μm, X7 is the emissivity at a characteristic wavelength of 9.21 μm, X8 is the emissivity at a characteristic wavelength of 9.45 μm, X9 is the emissivity at a characteristic wavelength of 9.53 μm, and X... 10 X represents the emissivity at a characteristic wavelength of 9.58 μm. 11 X represents the emissivity at a characteristic wavelength of 9.62 μm. 12 X represents the emissivity at a characteristic wavelength of 9.66 μm. 13 X represents the emissivity at a characteristic wavelength of 9.98 μm. 14 X represents the emissivity at a characteristic wavelength of 10.63 μm. 15 X represents the emissivity at a characteristic wavelength of 10.68 μm. 16 X represents the emissivity corresponding to a characteristic wavelength of 11.01 μm. 17 X represents the emissivity at a characteristic wavelength of 11.18 μm. 18 The emissivity is the emissivity corresponding to a characteristic wavelength of 11.24 μm.

7. The method for detecting the phase composition of potassium salt minerals based on thermal infrared hyperspectroscopy according to claim 1, characterized in that, The quantitative calculation formula for minerals includes characteristic wavelengths and calculation formulas, wherein, The characteristic wavelengths of magnesium sulfate are: 8.51 μm, 8.58 μm, 8.90 μm, 9.13 μm, 9.62 μm, 10.12 μm, 10.22 μm, 10.42 μm, 10.68 μm and 10.84 μm; The formula for calculating magnesium sulfate content is: Y3 = -0.18 + 1.34X1 + 2.26X2 - 2.99X3 + 2.42X4 - 1.84X5 - 3.88X6 + 1.15X7 + 1.82X8 + 3.06X9 - 2.96X 10 ; In the formula for calculating magnesium sulfate content, X1 is the emissivity at a characteristic wavelength of 8.51 μm, X2 is the emissivity at a characteristic wavelength of 8.58 μm, X3 is the emissivity at a characteristic wavelength of 8.90 μm, X4 is the emissivity at a characteristic wavelength of 9.13 μm, X5 is the emissivity at a characteristic wavelength of 9.62 μm, X6 is the emissivity at a characteristic wavelength of 10.12 μm, X7 is the emissivity at a characteristic wavelength of 10.22 μm, X8 is the emissivity at a characteristic wavelength of 10.42 μm, and X9 is the emissivity at a characteristic wavelength of 10.68 μm. 10 This represents the emissivity at a characteristic wavelength of 10.84 μm.

8. The method for detecting the phase composition of potassium salt minerals based on thermal infrared hyperspectroscopy according to claim 1, characterized in that, The quantitative calculation formula for minerals includes characteristic wavelengths and calculation formulas, wherein, The characteristic wavelengths of sodium chloride are 8.34 μm, 8.68 μm, 8.72 μm, 8.79 μm, 8.83 μm, 8.94 μm, 9.45 μm, 9.71 μm, 11.01 μm and 11.36 μm; The formula for calculating sodium chloride content is: Y4=0.16+0.14X1+0.24X2+0.18X3+0.19X4+0.14X5-0.25X6-0.21X7-0.14X8-0.13X9-0.28X 10 ; In the formula for calculating sodium chloride content, X1 is the emissivity at a characteristic wavelength of 8.34 μm, X2 is the emissivity at a characteristic wavelength of 8.68 μm, X3 is the emissivity at a characteristic wavelength of 8.72 μm, X4 is the emissivity at a characteristic wavelength of 8.79 μm, X5 is the emissivity at a characteristic wavelength of 8.83 μm, X6 is the emissivity at a characteristic wavelength of 8.94 μm, X7 is the emissivity at a characteristic wavelength of 9.45 μm, X8 is the emissivity at a characteristic wavelength of 9.71 μm, and X9 is the emissivity at a characteristic wavelength of 11.01 μm. 10 The emissivity is the emissivity corresponding to a characteristic wavelength of 11.36 μm.

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