An anti-interference LIBS control method and system

Abstract

The present invention provides an anti-interference LIBS control method and system. The method includes: controlling the thermal insulation system to close, and after a preset first time, obtaining the background spectrum collected by the detector; according to the background spectrum, judging whether the current ambient temperature meets the preset temperature threshold: if so, obtaining the detection spectrum collected by the detector, and judging whether component detection can be performed according to the effective spectral intensity ratio and / or stability of the detection spectrum: if so, controlling the detector to perform component detection, and controlling the thermal insulation system to open after the detection is completed; when the above two judgments are negative, return and re-obtain the background spectrum. This method closes the thermal insulation system, judges the ambient temperature according to the background spectrum, judges whether the influence of the thermal insulation system has been completely eliminated according to the effective spectral intensity ratio and stability of the detection spectrum, and only starts component detection after the influence is eliminated, ensuring the accuracy of the detection result.

Description

Technical Field

[0001] The present invention relates to the technical field of analytical testing, and particularly to an anti-interference LIBS control method and system. Background Art

[0002] Laser-induced breakdown spectroscopy (LIBS) is a new atomic emission spectroscopy analysis technology, which has advantages such as no sample preparation required and on-line in-situ detection, and can realize on-line real-time detection of materials and assist real-time process control. In some specific smelting sites, natural gas is sprayed on the melt chute for combustion heat preservation. At this time, there is a strong combustion flame on the melt surface. Since there are many high-temperature and high-energy gas molecules in the flame itself, the physical properties of the laser-induced plasma generated in the flame area will be affected. At present, some literatures have shown that the flame can enhance the LIBS signal, and when the flame itself reaches its breakdown threshold, it can also be broken down to generate plasma. Therefore, directly performing LIBS detection in a flame environment will affect the detection accuracy. Summary of the Invention

[0003] In view of the above defects of the prior art, the present invention provides an anti-interference LIBS control method and system to solve the technical problem of poor LIBS detection accuracy in a flame environment.

[0004] To achieve the above and other related objects, the present invention provides an anti-interference LIBS control method, including: controlling the heat preservation system to be closed, and after a preset first time, acquiring the background spectrum collected by the detector; according to the background spectrum, judging whether the current environmental temperature meets a preset temperature threshold: if so, acquiring the detection spectrum collected by the detector, and judging whether component detection can be performed according to the effective spectrum intensity ratio and / or stability of the detection spectrum: if so, controlling the detector to perform component detection, and controlling the heat preservation system to be opened after the detection is completed; when the above two judgments are negative, returning and re-acquiring the background spectrum.

[0005] In an embodiment of the present invention, the heat preservation system includes a natural gas spraying unit; controlling the heat preservation system to be closed includes: sending a first control instruction to close the natural gas spraying unit; controlling the heat preservation system to be opened after the detection is completed includes: sending a second control instruction to open the natural gas spraying unit after the detection is completed.

[0006] In an embodiment of the present invention, the first time is set through the following steps: according to the distance between the spraying point of the natural gas spraying unit and the detection point of the detector, and the flow velocity of the melt to be detected, obtaining a second time for the melt to flow from the spraying point to the detection point; according to the second time, obtaining the preset first time.

[0007] In an embodiment of the present invention, determining whether the current ambient temperature meets a preset temperature threshold according to the background spectrum includes: obtaining a slope according to two preset wavelengths and the intensities of the two preset wavelengths in the background spectrum; if the slope is lower than a preset slope threshold, the current ambient temperature meets the preset temperature threshold, otherwise the current ambient temperature does not meet the preset temperature threshold.

[0008] In an embodiment of the present invention, obtaining the detection spectrum collected by the detector and determining whether component detection can be performed according to the effective spectral intensity ratio and / or stability of the detection spectrum includes: obtaining a preset first number of detection spectra collected by the detector; calculating the effective spectral intensity ratio according to the first number of detection spectra; when the effective spectral intensity ratio is greater than a preset ratio, component detection can be performed, otherwise component detection cannot be performed.

[0009] In an embodiment of the present invention, obtaining the detection spectrum collected by the detector and determining whether component detection can be performed according to the effective spectral intensity ratio and / or stability of the detection spectrum includes: obtaining a preset first number of detection spectra collected by the detector; determining whether the detection spectrum is stable according to the first number of detection spectra; when the detection spectrum is stable, component detection can be performed, otherwise component detection cannot be performed.

[0010] In an embodiment of the present invention, obtaining the detection spectrum collected by the detector and determining whether component detection can be performed according to the effective spectral intensity ratio and / or stability of the detection spectrum includes: obtaining a preset first number of detection spectra collected by the detector; calculating the effective spectral intensity ratio according to the first number of detection spectra, when the effective spectral intensity ratio is greater than a preset ratio, further determining whether the detection spectrum is stable, otherwise component detection cannot be performed; when the detection spectrum is stable, component detection can be performed, otherwise component detection cannot be performed.

[0011] In an embodiment of the present invention, calculating the effective spectral intensity ratio according to the first number of detection spectra includes: calculating the maximum value of each detection spectrum and counting the number of detection spectra whose maximum values satisfy a preset interval to obtain a second number; obtaining the effective spectral intensity ratio according to the ratio of the second number to the first number.

[0012] In an embodiment of the present invention, determining whether the detected spectra are stable according to the first quantity of the detected spectra includes: performing data normalization and feature extraction on each of the detected spectra to obtain the features of each of the detected spectra; obtaining a feature data set of all the detected spectra according to the features of each of the detected spectra; calculating the relative standard deviation of the feature data set; when the relative standard deviation is lower than a set threshold, the detected spectra are stable, otherwise the detected spectra are unstable.

[0013] To achieve the above object and other related objects, the present invention also provides an anti-interference LIBS control system, including: a heat preservation system for heat-preserving the surface of the melt to be detected; a detector for collecting the background spectra or detected spectra of the detection points and performing component detection according to the detected spectra; and a control unit for controlling the heat preservation system and the detector according to the above anti-interference LIBS control method to complete the component detection of the melt to be detected.

[0014] Advantages of the present invention: An anti-interference LIBS control method and system proposed by the present invention. The method automatically shuts down the heat preservation system during detection, then judges the environmental temperature through the background spectra to preliminarily judge whether LIBS detection can be carried out, and further judges whether the influence of the heat preservation system has been completely eliminated according to the proportion of the effective spectral intensity and the stability of the detected spectra, and only starts component detection after the influence is eliminated to ensure the accuracy of the detection results. After the detection is completed, the heat preservation system is turned on again. The whole process is completely automatic and can ensure the accuracy of the component detection results. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0016] Figure 1 It is a flowchart of an anti-flame-interference LIBS control method provided in an embodiment of the present invention;

[0017] Figure 2 It is a flowchart of setting the first time provided in an embodiment of the present invention;

[0018] Figure 3 It is a flowchart of judging the environmental temperature provided in an embodiment of the present invention;

[0019] Figure 4 It is a flowchart of the first judgment of the detected spectra provided in an embodiment of the present invention;

[0020] Figure 5 The second judgment flowchart of the detection spectrum provided by an embodiment of the present invention;

[0021] Figure 6 The third judgment flowchart of the detection spectrum provided by an embodiment of the present invention;

[0022] Figure 7 The calculation flowchart of the proportion of effective spectral intensity provided by an embodiment of the present invention;

[0023] Figure 8 The judgment flowchart of the detection spectrum stability provided by an embodiment of the present invention;

[0024] Figure 9 Another complete flowchart of the LIBS control method for anti-flame interference provided by an embodiment of the present invention;

[0025] Figure 10 The schematic diagram of the LIBS control system for anti-flame interference provided by an embodiment of the present invention;

[0026] Figure 11 The comparison chart of Cu element detection results in the prior art;

[0027] Figure 12 The comparison chart of the results of Cu element detection using the control method in the present invention.

[0028] Explanation of reference numerals: 101, heat preservation system; 102, detector; 103, control unit. Detailed implementation manners

[0029] The following describes the implementation manners of the present invention through specific specific examples. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. It should be noted that, without conflict, the following examples and the features in the examples can be combined with each other. In addition to the specific methods, devices, and materials used in the examples, according to the knowledge of those skilled in the art in the present technical field and the records of the present invention, any methods, devices, and materials similar or equivalent to those described in the embodiments of the present invention can also be used to implement the present invention.

[0030] It should be understood that the terms used in the embodiments of the present invention are for the purpose of describing specific specific implementation manners, rather than for limiting the protection scope of the present invention. Unless otherwise defined, all technical and scientific terms used in the present invention have the same meaning as commonly understood by those skilled in the art in this technical field.

[0031] In the following description, numerous specific details are explored to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In some of these embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0032] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functions, and operations that the methods and computer program products according to various embodiments disclosed in the present invention may achieve. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0033] Please refer to Figure 1 , Figure 1 A LIBS control method for anti-interference provided for an embodiment of the present invention includes step S100 and step S200.

[0034] Step S100: Control the thermal insulation system to close, and after a preset first time, obtain the background spectrum collected by the detector. When it is necessary to collect the spectrum and perform component detection, first close the thermal insulation system to eliminate the influence of the thermal insulation system. The preset first time is mainly because after the thermal insulation system is closed, it is necessary to wait for a period of time to eliminate its influence on the detector. The background spectrum mentioned here refers to the spectrum collected by the spectrometer when the laser in the detector is not turned on.

[0035] In a specific embodiment of the present invention, the thermal insulation system in step S100 includes a natural gas spraying unit. At this time, controlling the thermal insulation system to close in step S100 includes: issuing a first control instruction to close the natural gas spraying unit.

[0036] Please refer to Figure 2 , in a specific embodiment of the present invention, the first time in step S100 can be set through step S101 and step S102.

[0037] Step S101: Obtain a second time for the melt to be detected to flow from the spraying point to the detection point based on the distance between the spraying point of the natural gas spraying unit and the detection point of the detector, and the flow velocity of the melt to be detected. The distance between the spraying point of the natural gas spraying unit and the detection point of the detector is l, and the flow velocity of the melt to be detected is v. Then the second time t = l / v.

[0038] Step S102: Obtain a preset first time based on the second time. In the above Step S101, the second time calculated is t. The second time t can be directly used as the first time, or the first time can be set to be slightly greater than the second time to ensure that there is no influence of natural gas at the detection point after the first time.

[0039] Step S200: Determine whether the current ambient temperature meets a preset temperature threshold according to the background spectrum. If so, obtain the detection spectrum collected by the detector, and determine whether component detection can be performed according to the effective spectral intensity ratio and / or stability of the detection spectrum. If so, control the detector to perform component detection, and control the insulation system to be turned on after the detection is completed. When both of the above judgments are no, return and re-obtain the background spectrum. In this step, multiple-layer judgments are performed to ensure that the detection spectrum collected at the detection point is stable and reliable and not affected by natural gas.

[0040] In a specific embodiment of the present invention, when the insulation system includes a natural gas spraying unit, controlling the insulation system to be turned on after the detection in this step includes: issuing a second control instruction to turn on the natural gas spraying unit after the detection is completed.

[0041] Please refer to Figure 3 , in a specific embodiment of the present invention, determining whether the current ambient temperature meets a preset temperature threshold according to the background spectrum includes Step S211 and Step S212.

[0042] Step S211: Obtain a slope according to two preset wavelengths and the intensities of the two preset wavelengths in the background spectrum. According to Planck's law, in the background spectrum, there are two short wavelengths λ1 and λ2, and the background light is approximately a straight line, and the slope of the straight line has a linear relationship with the temperature. Therefore, in this step, by linearly fitting the two preset wavelengths and their intensities through the real-time collected background spectrum, the slope can be obtained.

[0043] Step S212: If the slope is lower than the preset slope threshold, the current ambient temperature meets the preset temperature threshold; otherwise, the current ambient temperature does not meet the preset temperature threshold. Since there is a linear relationship between the slope and the temperature, the preset temperature threshold can be directly mapped to the preset slope threshold, and then the size of the slope and the preset slope threshold can be directly judged to achieve the temperature judgment. Understandably, when the slope is lower than the preset slope threshold, the subsequent detection spectrum collected by the detector is obtained; otherwise, return and re-obtain the background spectrum, and execute step S200 again.

[0044] In a specific embodiment of the present invention, another judgment in step S200 is: judging whether component detection can be performed according to the effective spectral intensity ratio and / or stability of the detection spectrum. Here, two indicators, namely the effective spectral intensity ratio and stability, are introduced, and the relationship between the two is "and / or". Therefore, there are actually three parallel schemes corresponding here.

[0045] Please refer to Figure 4 , in a specific embodiment of the present invention, obtaining the detection spectrum collected by the detector and judging whether component detection can be performed according to the effective spectral intensity ratio and / or stability of the detection spectrum includes: S221: obtaining a preset first number of detection spectra collected by the detector; S222: calculating the effective spectral intensity ratio according to the first number of detection spectra; S223: when the effective spectral intensity ratio is greater than the preset ratio, component detection can be performed; otherwise, component detection cannot be performed. In this embodiment, it is equivalent to judging whether component detection can be performed only according to the effective spectral intensity ratio of the detection spectrum. Since this indicator is a specific value, when making a judgment, the calculated effective spectral intensity ratio can be compared with the preset ratio to obtain the judgment result of whether component detection can be performed.

[0046] Please refer to Figure 5 , in a specific embodiment of the present invention, obtaining the detection spectrum collected by the detector and judging whether component detection can be performed according to the effective spectral intensity ratio and / or stability of the detection spectrum includes: S231: obtaining a preset first number of detection spectra collected by the detector; S232: judging whether the detection spectrum is stable according to the first number of detection spectra; S233: when the detection spectrum is stable, component detection can be performed; otherwise, component detection cannot be performed. In this embodiment, it is equivalent to judging whether component detection can be performed only according to whether the detection spectrum is stable. Regarding the judgment of stability, it can be determined by many other indicators (such as the relative standard deviation of the feature dataset mentioned below).

[0047] Please refer to Figure 6, in a specific embodiment of the present invention, the detection spectrum collected by the detector is obtained, and it is determined whether component detection can be performed according to the proportion of the effective spectral intensity of the detection spectrum and / or stability, including: S241. Obtain a preset first number of detection spectra collected by the detector; S242. Calculate the proportion of the effective spectral intensity according to the first number of detection spectra; S243. When the proportion of the effective spectral intensity is greater than the preset proportion, further determine whether the detection spectrum is stable, otherwise component detection cannot be performed; S244. When the detection spectrum is stable, component detection can be performed, otherwise component detection cannot be performed. In this embodiment, it is equivalent to determining whether component detection can be performed based on both the proportion of the effective spectral intensity of the detection spectrum and whether the detection spectrum is stable. Only when both indicators are satisfied can the detector be controlled to perform component detection, otherwise it is necessary to return and re-obtain the background spectrum.

[0048] In the above steps, it is first determined whether the proportion of the effective spectral intensity meets the requirements, and then whether the detection spectrum is stable. In actual execution, these two steps can also have no sequence relationship, that is, they are executed simultaneously; or first determine whether the detection spectrum is stable, and then determine whether the proportion of the effective spectral intensity meets the requirements, and this is also feasible.

[0049] In the above three embodiments, the proportion of the effective spectral intensity needs to be calculated in the first and third embodiments. Whether the detection spectrum is stable needs to be determined in the second and third embodiments. The specific calculation processes of these two indicators are described in detail below.

[0050] Please refer to Figure 7 , in a specific embodiment of the present invention, calculating the proportion of the effective spectral intensity according to the first number of detection spectra includes step S2221 and step S2222.

[0051] Step S2221. Calculate the maximum value of each detection spectrum, and count the number of detection spectra whose maximum value satisfies the preset interval to obtain the second number. Assuming that the first number in the previous step is N, calculate the maximum value of each detection spectrum, which can be denoted as m1, m2,..., m N , the preset interval includes the interval maximum value Y max and the interval minimum value Y min , in this step, it is equivalent to determining whether each m i (i ∈ 1, 2,..., N) is between Y min ~Y max . The finally obtained second number can be denoted as M.

[0052] Step S2222. Obtain the proportion of the effective spectral intensity according to the ratio of the second number to the first number. Taking the above M and N as examples, the proportion of the effective spectral intensity A = M / N.

[0053] Please refer to Figure 8 , in a specific embodiment of the present invention, to determine whether the detection spectrum is stable according to the first quantity of detection spectra, which includes steps S2321 to S2324.

[0054] Step S2321: Perform data normalization and feature extraction on each detection spectrum to obtain the features of each detection spectrum. The features extracted here can be any features that can characterize the detection spectrum, such as the spectral maximum value, peak area, light intensity at a specified wavelength, etc. mentioned above.

[0055] Step S2322: Obtain the feature data set of all detection spectra according to the features of each detection spectrum. Taking N detection spectra as an example, through the processing of this step, a feature data set (f1, f2, …, f N ) can be obtained.

[0056] Step S2323: Calculate the relative standard deviation of the feature data set. The relative standard deviation (RSD for short) is a statistic that measures the degree of data dispersion. It is the ratio of the standard deviation to the average value and is usually expressed as a percentage. The relative standard deviation is used to evaluate the stability and reliability of data. The smaller the RSD, the smaller the degree of data dispersion and the higher the data stability; conversely, the larger the RSD, the larger the degree of data dispersion and the lower the data stability. In addition to the relative standard deviation RSD, other parameters can also be used to characterize the stability of the detection spectrum.

[0057] Step S2324: When the relative standard deviation is lower than the set threshold, the detection spectrum is stable; otherwise, the detection spectrum is unstable.

[0058] It should be noted that the step division of the above various methods is only for clear description. When implemented, they can be combined into one step or some steps can be split into multiple steps. As long as the same logical relationship is included, it is within the protection scope of this application; adding insignificant modifications to the algorithm or process or introducing insignificant designs, but without changing the core design of its algorithm and process, are within the protection scope of this patent. For example Figure 9 shows the complete flowchart of another LIBS control method for anti-flame interference, which is not divided according to the above steps, but the actual execution logic is the same.

[0059] Please refer to Figure 10 , Figure 10An anti-interference LIBS control system provided by an embodiment of the present invention includes a heat preservation system 101, a detector 102, and a control unit 103. Among them, the heat preservation system 101 is used to keep the surface of the melt to be detected warm, and it may include a natural gas spraying unit. The detector 102 is used to collect the background spectrum or detection spectrum of the detection point and perform component detection according to the detection spectrum. Specifically, the detector 102 is a laser-induced breakdown spectrometer, which is a spectrometer that uses high-energy laser to excite the surface of the sample to generate plasma and obtains the elemental composition and concentration information of the sample by analyzing the spectrum emitted by the plasma. The control unit 103 is used to control the heat preservation system and the detector according to the above anti-interference LIBS control method to complete the component detection of the melt to be detected. The control unit 103 may be a computer or an industrial control computer, and software is installed thereon to execute the above anti-interference LIBS control method.

[0060] Generally speaking, the present invention can solve the situation that the direct detection of the melt flame affects the LIBS spectrum, and improve the accuracy of quantitative analysis through intelligent detection in linkage with the on-site working conditions. Taking the Cu element as an example, Figure 11 is a comparison chart of the predicted concentration and the reference concentration of the Cu element detected when the traditional heat preservation system is not closed; Figure 12 is a comparison chart detected by using the control method in the present invention. It is not difficult to find from the figure that after using the control method in the present invention, the predicted concentration is closer to the reference concentration, that is, the predicted concentration will be more accurate. It should be noted that since the detector 102 performs component detection according to the detection spectrum, models are mostly used for calculation and prediction. Therefore, the detected concentration is the predicted concentration, and the reference concentration is the actual concentration. The closer the two are (that is, the points in the figure are closer to the diagonal line in the middle), the more accurate the detection is.

[0061] The above embodiments are only illustrative of the principles and effects of the present invention, and are not used to limit the present invention. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes completed by those with ordinary knowledge in the technical field without departing from the spirit and technical ideas disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. An anti-interference LIBS control method, characterized in that Including: Control the insulation system to close, and after a preset first time, obtain the background spectrum collected by the detector, where the background spectrum is the spectrum collected by the spectrometer when the laser in the detector is not turned on; According to the background spectrum, determine whether the current ambient temperature meets a preset temperature threshold: If so, obtain the detection spectrum collected by the detector, and determine whether component detection can be performed based on the proportion of the effective spectral intensity and / or stability of the detection spectrum: If so, control the detector to perform component detection, and control the insulation system to open after the detection is completed; When the above two judgments are negative, return and re-obtain the background spectrum; Determining whether the current ambient temperature meets a preset temperature threshold according to the background spectrum includes: Obtain a slope according to two preset wavelengths and the intensities of the two preset wavelengths in the background spectrum; If the slope is lower than a preset slope threshold, the current ambient temperature meets the preset temperature threshold, otherwise the current ambient temperature does not meet the preset temperature threshold; The calculation of the proportion of the effective spectral intensity of the detection spectrum is carried out according to the following steps: Calculate the maximum value of each detection spectrum, and count the number of detection spectra whose maximum value meets a preset interval to obtain a second number; Obtain the proportion of the effective spectral intensity according to the ratio of the second number to the total number of detection spectra.

2. The anti-interference LIBS control method according to claim 1, wherein The insulation system includes a natural gas spraying unit; Controlling the insulation system to close includes: sending a first control instruction to close the natural gas spraying unit; Controlling the insulation system to open after the detection is completed includes: sending a second control instruction to open the natural gas spraying unit after the detection is completed.

3. The anti-interference LIBS control method according to claim 2, wherein The first time is set through the following steps: Obtain a second time for the melt to be detected to flow from the spraying point to the detection point according to the distance between the spraying point of the natural gas spraying unit and the detection point of the detector and the flow rate of the melt to be detected; Obtain the preset first time according to the second time.

4. The anti-interference LIBS control method according to claim 1, characterized in that, Obtaining the detection spectrum collected by the detector, and determining whether component detection can be performed based on the proportion of the effective spectral intensity and / or stability of the detection spectrum includes: Obtain a preset first number of detection spectra collected by the detector; Calculate the proportion of the effective spectral intensity according to the first number of detection spectra; When the proportion of the effective spectral intensity is greater than a preset proportion, component detection can be performed, otherwise component detection cannot be performed.

5. The anti-interference LIBS control method according to claim 1, wherein Obtaining the detection spectrum collected by the detector, and determining whether component detection can be performed based on the proportion of the effective spectral intensity and / or stability of the detection spectrum includes: Obtain a preset first number of detection spectra collected by the detector; Judge whether the detection spectrum is stable according to the first number of detection spectra; When the detection spectrum is stable, component detection can be performed, otherwise component detection cannot be performed.

6. The anti-interference LIBS control method according to claim 1, wherein Obtaining the detection spectrum collected by the detector, and determining whether component detection can be performed based on the proportion of the effective spectral intensity and / or stability of the detection spectrum includes: Obtain a preset first number of detection spectra collected by the detector; Calculate the proportion of the effective spectral intensity based on the first quantity of the detection spectra. When the proportion of the effective spectral intensity is greater than a preset proportion, further determine whether the detection spectra are stable; otherwise, component detection cannot be performed. When the detection spectra are stable, component detection can be performed; otherwise, component detection cannot be performed.

7. The anti-interference LIBS control method according to claim 5 or 6, characterized in that, Determine whether the detection spectra are stable based on the first quantity of the detection spectra, including: Perform data normalization and feature extraction on each of the detection spectra to obtain the features of each of the detection spectra. Obtain a feature dataset of all the detection spectra based on the features of each of the detection spectra. Calculate the relative standard deviation of the feature dataset. When the relative standard deviation is lower than a set threshold, the detection spectra are stable; otherwise, the detection spectra are unstable.

8. An anti-interference LIBS control system, characterized in that, Including: A thermal insulation system for thermally insulating the surface of the melt to be detected. A detector for collecting the background spectra or detection spectra of the detection points and performing component detection based on the detection spectra. And A control unit for controlling the thermal insulation system and the detector according to the anti-interference LIBS control method according to any one of claims 1 to 7 to complete the component detection of the melt to be detected.

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