Memory, chromaticity determination method, device and equipment for paraffin product

By calculating the tristimulus values ​​and color difference values ​​of paraffin products using a spectrophotometer and constructing a predictive model, the problems of low efficiency and misjudgment in existing paraffin colorimetric detection are solved, achieving efficient and accurate colorimetric detection.

CN121856191APending Publication Date: 2026-04-14CHINA PETROLEUM & CHEMICAL CORP +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-14
Publication Date
2026-04-14

AI Technical Summary

Technical Problem

Existing paraffin colorimetric testing methods are inefficient and have poor repeatability and reproducibility, and manual judgment is prone to misjudgment.

Method used

The absorption spectrum of the standard colorimetric solution is obtained by using a spectrophotometer, the tristimulus values ​​and color difference values ​​are calculated, a prediction model is constructed, and the colorimetric value of paraffin products is predicted by the color difference value, reducing manual judgment.

Benefits of technology

It improves the efficiency and accuracy of paraffin colorimetric detection, reduces false positives, enhances the repeatability and reproducibility of the test, and enables rapid online detection.

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Abstract

The invention discloses a memory, and a chromaticity determination method and device for a paraffin product. The method comprises the following steps: determining absorbance of three preset wavelengths by using a spectrophotometer so as to obtain tristimulus values of standard colorimetric solutions; according to the tristimulus value of each standard colorimetric solution, respectively calculating the chromatic aberration value of each standard colorimetric solution; generating a prediction model by taking the chromaticity and the chromatic aberration value of each standard colorimetric solution as modeling data; the prediction model takes the color difference value as input and is used for predicting a corresponding chromatic value; obtaining a tristimulus value of the paraffin product to be measured by using a spectrophotometer; calculating a chromatic aberration value of the paraffin product to be measured according to the tristimulus value of the paraffin product to be measured; generating a chromatic value of the to-be-measured paraffin product through the prediction model by taking the chromatic value of the to-be-measured paraffin product as input; according to the invention, manual workload and manual subjective errors can be greatly reduced, so that the efficiency and accuracy of paraffin chromaticity detection are improved.
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Description

Technical Field

[0001] This invention relates to the field of industrial measurement, and in particular to a memory, a method, apparatus and device for measuring the color of paraffin products. Background Technology

[0002] The paraffin wax end-market is developing rapidly, evolving from simple match and candle production to applications in adhesives, tire antioxidants, food packaging, cosmetics, hot melt adhesives, and precision casting. Paraffin wax color is an important indicator of the degree of refining of paraffin wax products, reflecting their quality and stability.

[0003] In the existing technology, the method for testing the color of paraffin products in my country is SH / T 0403 "Determination of Color of Paraffin". In this method, the sample is melted in an oven or water bath, and then the sample is poured into a preheated cuvette and compared with a colorimetric plate. The tester adjusts the color of the standard colorimetric plate to be similar to the color of the wax sample through a visual microscope. The reading of the colorimeter at this time is the color number of the sample.

[0004] The inventors discovered through research that existing paraffin colorimetric detection methods have at least the following drawbacks:

[0005] Due to the differences in products manufactured by different manufacturers of acrylic standard color charts, and the small color difference between some adjacent color numbers (such as numbers 1-3) in the acrylic standard color charts, the method of manually judging the color of the test samples is not only inefficient but also prone to misjudgment, with poor repeatability and reproducibility.

[0006] The information disclosed in this background section is intended only to enhance the understanding of the overall background of the invention and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0007] The purpose of this invention is to improve the efficiency and accuracy of paraffin colorimetric detection, and to enhance test repeatability and reproducibility.

[0008] This invention provides a method for measuring the color of paraffin products, comprising the following steps:

[0009] S11. Use a spectrophotometer to obtain the absorption spectra of multiple standard colorimetric solutions, and obtain the tristimulus values ​​of each standard colorimetric solution by the absorbance at three preset wavelengths.

[0010] S12. Calculate the color difference value of each of the standard colorimetric solutions based on the tristimulus values ​​of each of the standard colorimetric solutions.

[0011] S13. Using the chromaticity and color difference values ​​of each of the standard colorimetric liquids as modeling data, a prediction model is generated; the prediction model takes the color difference value as input and is used to predict the corresponding chromaticity value.

[0012] S14. Use a spectrophotometer to obtain the absorbance of each preset wavelength of the paraffin product to be tested, and obtain the tristimulus value of the paraffin product to be tested.

[0013] S15. Calculate the color difference value of the paraffin product to be tested based on the tristimulus values ​​of the paraffin product to be tested.

[0014] S16. Using the color difference value of the paraffin product to be measured as input, the colorimetric value of the paraffin product to be measured is generated through the prediction model.

[0015] In another aspect of this invention, an apparatus for measuring the color of paraffin products is also provided, comprising:

[0016] The tristimulus value acquisition unit for colorimetric solutions is used to obtain the absorption spectra of multiple standard colorimetric solutions using a spectrophotometer, and to obtain the tristimulus values ​​of each standard colorimetric solution by means of the absorbance at three preset wavelengths.

[0017] The color difference value calculation unit is used to calculate the color difference value of each standard colorimetric solution based on the tristimulus values ​​of each standard colorimetric solution.

[0018] The prediction model building unit is used to generate a prediction model using the chromaticity and color difference values ​​of each of the standard colorimetric liquids as modeling data; the prediction model takes the color difference value as input and is used to predict the corresponding chromaticity value.

[0019] The product tristimulus value acquisition unit is used to acquire the absorbance of each preset wavelength of the paraffin product to be tested using a spectrophotometer, and to acquire the tristimulus value of the paraffin product to be tested.

[0020] The product color difference value calculation unit is used to calculate the color difference value of the paraffin product to be tested based on the tristimulation values ​​of the paraffin product to be tested.

[0021] The product colorimetric value calculation unit is used to generate the colorimetric value of the paraffin product to be measured by taking the color difference value of the paraffin product to be measured as input and through the prediction model.

[0022] In another aspect of the present invention, a memory is also provided, including a software program adapted for a processor to execute the steps of the above-described method for measuring the color of paraffin products.

[0023] Another aspect of this invention provides a colorimetric device for paraffin products. The colorimetric device for paraffin products includes a computer program stored in a memory. The computer program includes program instructions. When the program instructions are executed by the computer, the computer performs the methods described in the above aspects and achieves the same technical effects.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] In this invention, the absorption spectra of multiple standard colorimetric solutions are first obtained using a spectrophotometer, and then the tristimulus values ​​of each standard colorimetric solution are obtained; then the color difference values ​​of each standard colorimetric solution are calculated based on the tristimulus values; in this way, the color difference values ​​of each standard colorimetric solution can be used as modeling data to generate a predictive model that can predict the corresponding colorimetric values.

[0026] In the process of measuring the colorimetry of paraffin wax products, this invention first uses a spectrophotometer to obtain the absorbance of the paraffin wax product at each preset wavelength, then obtains the corresponding tristimulus values ​​and calculates the color difference value of the paraffin wax product. Thus, using the color difference value of the paraffin wax product as input, a prediction model can generate the colorimetry value of the paraffin wax product. This invention eliminates the need for manual judgment of paraffin wax colorimetry by testing personnel using color charts, significantly improving detection efficiency and reducing errors in manual judgment. Therefore, this invention can improve the efficiency and accuracy of paraffin wax colorimetry detection, and enhance test repeatability and reproducibility.

[0027] Furthermore, the present invention uses a small amount of sample and requires no pretreatment, and can perform rapid detection, thus enabling online detection of the color of paraffin products.

[0028] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it according to the contents of the specification, and to make the above and other objects, technical features and advantages of the present invention easier to understand, one or more preferred embodiments are listed below and described in detail with reference to the accompanying drawings. Attached Figure Description

[0029] Figure 1 This is a flowchart illustrating the steps of the colorimetric method for paraffin products according to the present invention.

[0030] Figure 2 This is a schematic diagram of the structure of the colorimetric device for paraffin products according to the present invention;

[0031] Figure 3 This is a schematic diagram of the structure of the colorimetric measuring device for paraffin products according to the present invention. Detailed Implementation

[0032] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings, but it should be understood that the scope of protection of the present invention is not limited to the specific embodiments.

[0033] Unless otherwise expressly stated, throughout the specification and claims, the term "comprising" or its variations such as "including" or "comprising" shall be understood to include the stated elements or components without excluding other elements or other components.

[0034] In this document, for ease of description, spatial relative terms such as “below,” “under,” “down,” “above,” “above,” “upper,” etc., are used to describe the relationship of one element or feature to another element or feature in the accompanying drawings. It should be understood that spatial relative terms are intended to encompass different orientations of an object in use or operation, in addition to those depicted in the figures. For example, if an object in the figure is flipped, an element described as “below” or “under” another element or feature would be oriented “above” that element or feature. Thus, the exemplary term “below” can encompass both the downward and upward orientations. An object may also have other orientations (rotated 90 degrees or other orientations), and the spatial relative terms used herein should be interpreted accordingly.

[0035] In this document, the terms "first," "second," etc., are used to distinguish two different elements or parts, and are not used to define specific positions or relative relationships. In other words, in some embodiments, the terms "first," "second," etc., can also be used interchangeably.

[0036] Example 1

[0037] In order to improve the efficiency and accuracy of paraffin colorimetric testing, and to enhance test repeatability and reproducibility, such as Figure 1 As shown, this embodiment of the invention provides a method for measuring the color of paraffin products, including the following steps:

[0038] S11. Use a spectrophotometer to obtain the absorption spectra of multiple standard colorimetric solutions, and obtain the tristimulus values ​​of each standard colorimetric solution by the absorbance at three preset wavelengths.

[0039] In this embodiment of the invention, instead of directly using standard colorimetric solutions to perform manual colorimetric comparison with the sample of the paraffin product to be tested, a spectrophotometer is used to obtain the absorption spectrum of each standard colorimetric solution. The tristimulus values ​​of each standard colorimetric solution are obtained by measuring the absorbance at three preset wavelengths (usually expressed as red primary color stimulus X, green primary color stimulus Y, and blue primary color stimulus Z).

[0040] In practical applications, the colorimetric values ​​of each standard colorimetric solution can include 1, 2, 3, 4, 5, 6, 7, 8, and 9, respectively; the absorbance ranges of the three preset wavelengths used to obtain the tristimulus values ​​of each standard colorimetric solution are 577nm-600nm, 492nm-577nm, and 380nm-492nm, respectively; preferably, the three preset wavelengths can be 595nm, 555nm, and 445nm, respectively.

[0041] In a specific example, the tristimulus values ​​X, Y, and Z of the CIE 1931 standard colorimetric system, and the color stimulus function, can be expressed as:

[0042] φ(λ)=τ(λ)S(λ)

[0043] In the formula, τ(λ) represents the spectral transmittance of the object; S(λ) represents the relative spectral power distribution of the standard illuminator used.

[0044] The transmittance is given as a percentage, and the formula for calculating the tristimulus value can be approximated as follows:

[0045] X = (0.7833 * T1) + (0.1974 * T3)

[0046] Y = T2

[0047] Z = 1.1822 * T3

[0048] In the formula, T1, T2, and T3 represent the percentage transmittance at three preset wavelengths λ1, λ2, and λ3, respectively.

[0049] It should be noted that the percentage transmittance can be calculated from the absorbance at that wavelength measured by a spectrophotometer.

[0050] S12. Calculate the color difference value of each of the standard colorimetric solutions based on the tristimulus values ​​of each of the standard colorimetric solutions.

[0051] After obtaining the tristimulus values ​​of each standard colorimetric solution, the color difference value of each standard colorimetric solution can be calculated based on the tristimulus values ​​of each standard colorimetric solution.

[0052] In practical applications, color difference calculation formulas such as CIE 1931, CIE1976, DE94, DE2000, or DECMC can be used to obtain the color difference values ​​of each standard colorimetric liquid.

[0053] Nine standard colorimetric solutions correspond to nine sets of tristimulus values. Using standard light source C as a reference white, nine sets of color difference values ​​can be obtained.

[0054] S13. Using the chromaticity and color difference values ​​of each of the standard colorimetric liquids as modeling data, a prediction model is generated; the prediction model takes the color difference value as input and is used to predict the corresponding chromaticity value.

[0055] After obtaining the color difference values ​​of each standard colorimetric solution, and combining them with the chromaticity of each standard colorimetric solution, the chromaticity and color difference values ​​of the standard colorimetric solutions are used as modeling data. Through model training, a predictive model for predicting chromaticity values ​​can be constructed.

[0056] In practical applications, the methods used to train prediction models can include least squares, inverse least squares, multivariate linear regression, principal component regression, partial least squares, robust partial least squares, or artificial neural networks.

[0057] S14. Use a spectrophotometer to obtain the absorbance of each preset wavelength of the paraffin product to be tested, and obtain the tristimulus value of the paraffin product to be tested.

[0058] When performing colorimetric testing on paraffin products, in order to obtain the color difference value, it is first necessary to use a spectrophotometer to acquire the absorbance of the paraffin product at each preset wavelength, and then obtain the tristimulus values ​​of the paraffin product. In practical applications, a sample of the paraffin product can be used to quickly acquire the absorbance of the paraffin product at each preset wavelength using a spectrophotometer.

[0059] S15. Calculate the color difference value of the paraffin product to be tested based on the tristimulus values ​​of the paraffin product to be tested.

[0060] After obtaining the tristimulus values ​​of the paraffin product to be tested, the color difference value of the paraffin product to be tested can be calculated based on the tristimulus values.

[0061] S16. Using the color difference value of the paraffin product to be measured as input, the colorimetric value of the paraffin product to be measured is generated through the prediction model.

[0062] The prediction model in this embodiment of the invention uses the color difference value as input to predict the corresponding chromaticity value, that is, it can obtain the chromaticity of the paraffin product to be measured based on the color difference value of the paraffin product to be measured.

[0063] In summary, in this embodiment of the invention, the absorption spectra of multiple standard colorimetric solutions are first obtained using a spectrophotometer, and then the tristimulus values ​​of each standard colorimetric solution are obtained; then the color difference values ​​of each standard colorimetric solution are calculated based on the tristimulus values; in this way, the color difference values ​​of each standard colorimetric solution can be used as modeling data to generate a predictive model that can predict the corresponding colorimetric values.

[0064] In the process of measuring the colorimetry of the paraffin wax product in this embodiment of the invention, the absorbance of the paraffin wax product at each preset wavelength is first obtained using a spectrophotometer. Then, the corresponding tristimulus values ​​are acquired, and the color difference value of the paraffin wax product is calculated. Thus, using the color difference value of the paraffin wax product as input, the colorimetry value of the paraffin wax product can be generated through a prediction model. This embodiment of the invention eliminates the need for manual judgment of paraffin wax colorimetry by testing personnel using color charts. This not only significantly improves detection efficiency but also reduces misjudgments during manual judgment. Therefore, this embodiment of the invention can improve the efficiency and accuracy of paraffin wax colorimetry detection, and enhance test repeatability and reproducibility.

[0065] Furthermore, the embodiments of the present invention use a small sample volume, and a test optical path of only 10 mm is sufficient to ensure test accuracy. The embodiments of the present invention require no pretreatment and can perform rapid detection, thus enabling online detection of the color of paraffin products.

[0066] Example 2

[0067] Corresponding to the method embodiment, another aspect of the present invention also provides a colorimetric device for paraffin products. Figure 2 This diagram illustrates the structure of a colorimetric device for paraffin products provided in an embodiment of the present invention. The colorimetric device for paraffin products is... Figure 1 The device corresponding to the colorimetric method for paraffin products described in the corresponding embodiment is implemented through a virtual device. Figure 1 The colorimetric measurement method for paraffin products in the corresponding embodiments, wherein each virtual module constituting the colorimetric measurement device for paraffin products can be executed by an electronic device, such as a network device, terminal device, or server. Specifically, the colorimetric measurement device for paraffin products in the embodiments of the present invention includes:

[0068] The colorimetric solution tristimulus value acquisition unit 01 is used to obtain the absorption spectrum of multiple standard colorimetric solutions using a spectrophotometer, and to obtain the tristimulus value of each standard colorimetric solution through the absorbance of three preset wavelengths.

[0069] The color difference calculation unit 02 is used to calculate the color difference value of each standard colorimetric solution based on the tristimulus values ​​of each standard colorimetric solution.

[0070] The prediction model building unit 03 is used to generate a prediction model using the chromaticity and color difference values ​​of each of the standard colorimetric liquids as modeling data; the prediction model takes the color difference value as input and is used to predict the corresponding chromaticity value.

[0071] Product tristimulus value acquisition unit 04 is used to acquire the absorbance of each preset wavelength of the paraffin product to be tested using a spectrophotometer, and to acquire the tristimulus value of the paraffin product to be tested.

[0072] Product color difference value calculation unit 05 is used to calculate the color difference value of the paraffin product to be tested based on the tristimulation values ​​of the paraffin product to be tested.

[0073] Product colorimetric value calculation unit 06 is used to generate the colorimetric value of the paraffin product to be measured by means of the color difference value of the paraffin product to be measured through the prediction model.

[0074] It should be noted that the colorimetric device for paraffin products in this embodiment of the invention needs to be used in conjunction with a spectrophotometer to determine the colorimetric value of the paraffin product to be measured. That is, the absorption spectrum of the paraffin product to be measured is obtained through the fiber optic probe of the spectrophotometer, and then the tristimulus values ​​of each of the standard colorimetric solutions can be obtained through the absorbance of three preset wavelengths.

[0075] Since the working principle and beneficial effects of the colorimetric device for paraffin products in the embodiments of the present invention have already been demonstrated, Figure 1 The corresponding methods for colorimetric determination of paraffin products are also described and explained, so they can be referenced together, and will not be repeated here.

[0076] Example 3

[0077] Corresponding to the method embodiments, this embodiment of the invention also provides a drawing device for data analysis, such as a terminal or server. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The terminal can be a smartphone, tablet computer, laptop computer, desktop computer, etc., but is not limited to these.

[0078] Example diagrams of the hardware structure block diagrams of the plotting device for data analysis provided in this application are shown below. Figure 3 As shown, it may include:

[0079] Processor 1, communication interface 2, memory 3, and communication bus 4;

[0080] The processor 1, communication interface 2, and memory 3 communicate with each other via communication bus 4.

[0081] Optionally, communication interface 2 can be an interface of a communication module, such as the interface of a GSM module;

[0082] Processor 1 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0083] Memory 3 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0084] Specifically, processor 1 is used to execute the computer program stored in memory 3 to perform the following steps:

[0085] S11. Use a spectrophotometer to obtain the absorption spectra of multiple standard colorimetric solutions, and obtain the tristimulus values ​​of each standard colorimetric solution by the absorbance at three preset wavelengths.

[0086] S12. Calculate the color difference value of each of the standard colorimetric solutions based on the tristimulus values ​​of each of the standard colorimetric solutions.

[0087] S13. Using the chromaticity and color difference values ​​of each of the standard colorimetric liquids as modeling data, a prediction model is generated; the prediction model takes the color difference value as input and is used to predict the corresponding chromaticity value.

[0088] S14. Use a spectrophotometer to obtain the absorbance of each preset wavelength of the paraffin product to be tested, and obtain the tristimulus value of the paraffin product to be tested.

[0089] S15. Calculate the color difference value of the paraffin product to be tested based on the tristimulus values ​​of the paraffin product to be tested.

[0090] S16. Using the color difference value of the paraffin product to be measured as input, the colorimetric value of the paraffin product to be measured is generated through the prediction model.

[0091] The above-described product can execute the methods provided in the embodiments of the present invention, and has the corresponding functional modules and beneficial effects for executing the methods. Technical details not described in detail in this embodiment can be found in the plotting method for data analysis provided in the embodiments of the present invention.

[0092] Example 4

[0093] In this embodiment of the invention, a storage medium is also provided, which can store a program suitable for execution by a processor, the program being used for:

[0094] S11. Use a spectrophotometer to obtain the absorption spectra of multiple standard colorimetric solutions, and obtain the tristimulus values ​​of each standard colorimetric solution by the absorbance at three preset wavelengths.

[0095] S12. Calculate the color difference value of each of the standard colorimetric solutions based on the tristimulus values ​​of each of the standard colorimetric solutions.

[0096] S13. Using the chromaticity and color difference values ​​of each of the standard colorimetric liquids as modeling data, a prediction model is generated; the prediction model takes the color difference value as input and is used to predict the corresponding chromaticity value.

[0097] S14. Use a spectrophotometer to obtain the absorbance of each preset wavelength of the paraffin product to be tested, and obtain the tristimulus value of the paraffin product to be tested.

[0098] S15. Calculate the color difference value of the paraffin product to be tested based on the tristimulus values ​​of the paraffin product to be tested.

[0099] S16. Using the color difference value of the paraffin product to be measured as input, the colorimetric value of the paraffin product to be measured is generated through the prediction model.

[0100] Optionally, the refined and extended functions of the program can be found in the description above.

[0101] The above-described product can execute the methods provided in the embodiments of the present invention, and has the corresponding functional modules and beneficial effects for executing the methods. Technical details not described in detail in this embodiment can be found in the methods provided in other embodiments of the present invention.

[0102] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0103] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. Furthermore, the couplings or direct couplings or communication connections shown or discussed may be indirect couplings or communication connections through interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0104] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0105] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0106] It should be understood that in the embodiments of this application, the claims, various embodiments, and features can be combined with each other to solve the aforementioned technical problems.

[0107] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0108] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for determining the color of paraffin products, characterized in that, Including the following steps: S11. Use a spectrophotometer to obtain the absorption spectra of multiple standard colorimetric solutions, and obtain the tristimulus values ​​of each standard colorimetric solution by the absorbance at three preset wavelengths. S12. Calculate the color difference value of each of the standard colorimetric solutions based on the tristimulus values ​​of each of the standard colorimetric solutions. S13. Using the chromaticity and color difference values ​​of each of the standard colorimetric liquids as modeling data, a prediction model is generated; the prediction model takes the color difference value as input and is used to predict the corresponding chromaticity value. S14. Use a spectrophotometer to obtain the absorbance of each preset wavelength of the paraffin product to be tested, and obtain the tristimulus value of the paraffin product to be tested. S15. Calculate the color difference value of the paraffin product to be tested based on the tristimulus values ​​of the paraffin product to be tested. S16. Using the color difference value of the paraffin product to be measured as input, the colorimetric value of the paraffin product to be measured is generated through the prediction model.

2. The method for determining the color of paraffin products according to claim 1, characterized in that, The value ranges of each of the preset wavelengths include: First preset wavelength: 577nm-600nm; Second preset wavelength: 492nm-577nm; The third preset wavelength is 380nm-492nm.

3. The method for determining the color of paraffin products according to claim 2, characterized in that, The values ​​of each of the preset wavelengths include: First preset wavelength: 595nm; Second preset wavelength: 555nm; Third preset wavelength: 445nm.

4. The method for determining the color of paraffin products according to claim 1, characterized in that, The methods used to train the prediction model include: Least squares, inverse least squares, multivariate linear regression, principal component regression, partial least squares, robust partial least squares, or artificial neural networks.

5. The method for determining the color of paraffin products according to claim 1, characterized in that, The colorimetric values ​​of each of the standard colorimetric solutions are 1, 2, 3, 4, 5, 6, 7, 8 and 9, respectively.

6. A colorimetric device for paraffin products, characterized in that, include: The tristimulus value acquisition unit for colorimetric solutions is used to obtain the absorption spectra of multiple standard colorimetric solutions using a spectrophotometer, and to obtain the tristimulus values ​​of each standard colorimetric solution by means of the absorbance at three preset wavelengths. The color difference value calculation unit is used to calculate the color difference value of each standard colorimetric solution based on the tristimulus values ​​of each standard colorimetric solution. The prediction model building unit is used to generate a prediction model using the chromaticity and color difference values ​​of each of the standard colorimetric liquids as modeling data; the prediction model takes the color difference value as input and is used to predict the corresponding chromaticity value. The product tristimulus value acquisition unit is used to acquire the absorbance of each preset wavelength of the paraffin product to be tested using a spectrophotometer, and to acquire the tristimulus value of the paraffin product to be tested. The product color difference value calculation unit is used to calculate the color difference value of the paraffin product to be tested based on the tristimulation values ​​of the paraffin product to be tested. The product colorimetric value calculation unit is used to generate the colorimetric value of the paraffin product to be measured by taking the color difference value of the paraffin product to be measured as input and through the prediction model.

7. The colorimetric apparatus for paraffin products according to claim 6, characterized in that, The value ranges of each of the preset wavelengths include: First preset wavelength: 577nm-600nm; Second preset wavelength: 492nm-577nm; The third preset wavelength is 380nm-492nm.

8. The colorimetric apparatus for paraffin products according to claim 7, characterized in that, The values ​​of each of the preset wavelengths include: First preset wavelength: 595nm; Second preset wavelength: 555nm; Third preset wavelength: 445nm.

9. The colorimetric apparatus for paraffin products according to claim 6, characterized in that, The methods used to train the prediction model include: Least squares, inverse least squares, multivariate linear regression, principal component regression, partial least squares, robust partial least squares, or artificial neural networks.

10. The colorimetric apparatus for paraffin products according to claim 6, characterized in that, The colorimetric values ​​of each of the standard colorimetric solutions are 1, 2, 3, 4, 5, 6, 7, 8 and 9, respectively.

11. A memory, characterized in that, Includes a software program adapted by a processor to perform the steps of the colorimetric determination method for paraffin products as described in any one of claims 1 to 5.

12. An apparatus for measuring the color of paraffin products, characterized in that, Includes a bus, a processor, and the memory as described in claim 11; The bus is used to connect the memory and the processor; The processor is used to execute the instruction set in the memory.