Anti-interference LIBS control method and system

Abstract

The invention provides an anti-interference LIBS (Laser-induced Breakdown Spectroscopy) control method and system, and the method comprises the steps: controlling a heat preservation system to be closed, and obtaining a background spectrum collected by a detector after a preset first time; according to the background spectrum, whether the current environment temperature meets a preset temperature threshold value or not is judged, if yes, a detection spectrum collected by a detector is obtained, and whether component detection can be carried out or not is judged according to the effective spectrum intensity proportion and / or stability of the detection spectrum, and if yes, the detector is controlled to carry out component detection, after detection is completed, the heat preservation system is controlled to be opened; and when the two judgment results are no, returning and re-acquiring the background spectrum. According to the method, the heat preservation system is closed, the environment temperature is judged according to the background spectrum, whether the influence of the heat preservation system is completely eliminated or not is judged according to the effective spectrum intensity proportion and stability of the detection spectrum, and component detection is started after the influence is eliminated, so that the accuracy of the detection result is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of analysis and testing, and in particular to an interference-resistant LIBS control method and system. Background Art

[0002] Laser induced breakdown spectroscopy (LIBS) is an emerging atomic emission spectroscopic analysis technology with the advantages of no need for sample preparation and online in-situ detection. It can realize online real-time detection of materials and assist in real-time control of processes. In some specific smelting sites, natural gas is sprayed on the melt flow channel for combustion and heat preservation. At this time, there is a strong combustion flame on the surface of the melt. Since the flame itself contains many high-temperature and high-energy gas molecules, the physical properties of the laser-induced plasma generated in the flame area will be affected. At present, some literature has shown that flames can enhance LIBS signals, and the flame itself can also be broken down to produce plasma when it reaches its breakdown threshold. Therefore, direct 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 interference-resistant LIBS control method and system to solve the technical problem of poor LIBS detection accuracy in a flame environment.

[0004] To achieve the above-mentioned purpose and other related purposes, the present invention provides an interference-resistant LIBS control method, comprising: controlling a heat preservation system to turn off, and after a preset first time, obtaining a background spectrum collected by a detector; judging whether the current ambient temperature meets a preset temperature threshold based on the background spectrum: if so, obtaining a detection spectrum collected by the detector, and judging whether component detection can be performed based on the effective spectral 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 turn on after the detection is completed; when the above two judgments are no, returning and re-acquiring the background spectrum.

[0005] In one embodiment of the present invention, the insulation system includes a natural gas spray unit; controlling the insulation system to be turned off includes: issuing a first control instruction to turn off the natural gas spray unit; controlling the insulation system to be turned on after the detection is completed includes: issuing a second control instruction to turn on the natural gas spray unit after the detection is completed.

[0006] In one embodiment of the present invention, the first time is set by 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 speed of the melt to be detected, the second time for the melt to be detected to flow from the spraying point to the detection point is obtained; according to the second time, the preset first time is obtained.

[0007] In one embodiment of the present invention, judging whether the current ambient temperature meets a preset temperature threshold is performed based on the background spectrum, including: obtaining a slope based on 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 one embodiment of the present invention, a detection spectrum collected by the detector is obtained, and based on the effective spectrum intensity ratio and / or stability of the detection spectrum, it is determined whether component detection can be performed, including: obtaining a preset first number of detection spectra collected by the detector; calculating the effective spectrum intensity ratio based on the first number of detection spectra; when the effective spectrum intensity ratio is greater than the preset ratio, component detection can be performed, otherwise component detection cannot be performed.

[0009] In one embodiment of the present invention, a detection spectrum collected by the detector is obtained, and based on the effective spectral intensity ratio and / or stability of the detection spectrum, it is judged whether component detection can be performed, including: obtaining a preset first number of detection spectra collected by the detector; judging whether the detection spectrum is stable based on 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 one embodiment of the present invention, a detection spectrum collected by the detector is obtained, and based on the effective spectrum intensity ratio and / or stability of the detection spectrum, it is determined whether component detection can be performed, including: obtaining a preset first number of detection spectra collected by the detector; calculating the effective spectrum intensity ratio based on the first number of detection spectra, and when the effective spectrum intensity ratio is greater than the 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 one embodiment of the present invention, the effective spectrum intensity ratio is calculated based on the first number of the detected spectra, including: calculating the maximum value of each of the detected spectra, and counting the number of detected spectra whose maximum values ​​satisfy a preset interval to obtain a second number; and obtaining the effective spectrum intensity ratio based on the ratio of the second number to the first number.

[0012] In one embodiment of the present invention, judging whether the detection spectrum is stable is performed based on the first number of detection spectra, including: performing data normalization and feature extraction on each detection spectrum to obtain the characteristics of each detection spectrum; obtaining a feature data set of all detection spectra based on the characteristics of each detection spectrum; calculating the relative standard deviation of the feature data set; when the relative standard deviation is lower than a set threshold, the detection spectrum is stable, otherwise the detection spectrum is unstable.

[0013] To achieve the above-mentioned purpose and other related purposes, the present invention also provides an interference-resistant LIBS control system, comprising: a heat preservation system for heat preservation of the surface of the melt to be detected; a detector for collecting the background spectrum or the detection spectrum of the detection point and performing component detection according to the detection spectrum; and a control unit for controlling the heat preservation system and the detector according to the above-mentioned interference-resistant LIBS control method to complete the component detection of the melt to be detected.

[0014] Beneficial effects of the present invention: The present invention proposes an anti-interference LIBS control method and system, which automatically shuts down the insulation system during detection, and then judges the ambient temperature through the background spectrum to preliminarily judge whether LIBS detection can be performed, and further judges whether the influence of the insulation system has been completely eliminated based on the effective spectral intensity ratio and stability of the detection spectrum, and only starts the component detection after the influence is eliminated to ensure the accuracy of the detection result. After the detection is completed, the insulation system continues to be turned on. The whole process is completely automatic and can ensure the accuracy of the component detection result. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 A flow chart of a flame interference resistant LIBS control method provided by an embodiment of the present invention; Figure 2 A first time setting flow chart provided by an embodiment of the present invention; Figure 3 A flow chart of determining the ambient temperature according to an embodiment of the present invention; Figure 4 A first judgment flow chart of a detection spectrum provided by an embodiment of the present invention; Figure 5 A second determination flow chart of a detection spectrum provided by an embodiment of the present invention; Figure 6 A third determination flow chart of a detection spectrum provided by an embodiment of the present invention; Figure 7 A flow chart for calculating the effective spectral intensity ratio provided by an embodiment of the present invention; Figure 8 A flow chart of determining the stability of a detection spectrum provided by an embodiment of the present invention; Fig. 9 Another complete flow chart of the flame interference resistant LIBS control method provided by one embodiment of the present invention; Fig.10 A schematic diagram of a flame interference resistant LIBS control system provided by an embodiment of the present invention; Fig.11 This is a comparison chart of Cu element detection results in the prior art; Fig.12 This is a comparison chart of the results of Cu element detection using the control method of the present invention.

[0017] Description of reference numerals: 101, heat preservation system; 102, detector; 103, control unit. DETAILED DESCRIPTION

[0018] The following describes the embodiments of the present invention through specific specific embodiments, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. It should be noted that the following embodiments and the features in the embodiments can be combined with each other without conflict. In addition to the specific methods, equipment, and materials used in the embodiments, according to the technical personnel in this technical field's grasp of the prior art and the records of the present invention, any methods, equipment, and materials of the prior art that are similar or equivalent to the methods, equipment, and materials described in the embodiments of the present invention can also be used to implement the present invention.

[0019] It should be understood that the terms used in the embodiments of the present invention are for describing specific embodiments rather than for limiting the scope of protection of the present invention. Unless otherwise defined, all technical and scientific terms used in the present invention have the same meaning as those generally understood by those skilled in the art.

[0020] In the following description, numerous details are discussed 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 the 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.

[0021] The flowchart and block diagram in the accompanying drawings illustrate the system architecture, functions and operations that may be implemented according to the methods and computer program products of various embodiments disclosed in the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment, or a part of a code, and the module, the program segment, or a part of the code 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 box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or the flowchart, and the combination of the boxes in the block diagram and / or the flowchart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0022] See also Figure 1 , Figure 1 An anti-interference LIBS control method provided by an embodiment of the present invention includes step S100 and step S200.

[0023] Step S100, control the insulation system to turn off, 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 turn off the insulation system to eliminate the influence of the insulation system. The preset first time is mainly because after the insulation system is turned off, it takes a while to eliminate its influence on the detector. The background spectrum mentioned here refers to the spectrum collected by the spectrometer in the detector when the laser is not turned on.

[0024] In a specific embodiment of the present invention, the heat preservation system in step S100 includes a natural gas spraying unit. At this time, controlling the heat preservation system to be shut down in step S100 includes: issuing a first control instruction to shut down the natural gas spraying unit.

[0025] See also Figure 2 In a specific embodiment of the present invention, the first time in step S100 can be set through steps S101 and S102.

[0026] Step S101: 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, the second time for the melt to be detected to flow from the spraying point to the detection point is obtained. 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.

[0027] Step S102, obtain the preset first time according to the second time. In the above step S101, the second time t is calculated, and the second time t can be directly used as the first time, or the first time can be set slightly longer than the second time to ensure that after the first time, there is no influence of natural gas at the detection point.

[0028] Step S200: Based on the background spectrum, determine whether the current ambient temperature meets the preset temperature threshold. If yes, obtain the detection spectrum collected by the detector, and determine whether component detection can be performed based on the effective spectrum intensity ratio and / or stability of the detection spectrum. If yes, control the detector to perform component detection, and control the insulation system to turn on after the detection is completed. If the above two judgments are no, return and re-acquire the background spectrum. In this step, multiple layers of judgment will be performed to ensure that the detection spectrum collected at the detection point is stable and reliable, and is not affected by natural gas.

[0029] In a specific embodiment of the present invention, when the insulation system includes a natural gas spray unit, the step of controlling the insulation system to open after the detection is completed includes: issuing a second control instruction to open the natural gas spray unit after the detection is completed.

[0030] See also Figure 3 In a specific embodiment of the present invention, judging whether the current ambient temperature meets a preset temperature threshold according to the background spectrum includes step S211 and step S212.

[0031] Step S211: Obtain a slope according to the 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 λ 1 and λ 2 , the background light is approximately a straight line, and the slope of the straight line is linearly related to the temperature. Therefore, in this step, the slope can be obtained by linearly fitting the two preset wavelengths and their intensities through the background spectrum collected in real time.

[0032] 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 the slope and temperature are linearly related, the preset temperature threshold can be directly mapped to the preset slope threshold, and then the temperature can be judged by directly judging the size of the slope and the preset slope threshold. It can be understood that when the slope is lower than the preset slope threshold, the subsequent acquisition of the detection spectrum collected by the detector is executed, otherwise, return and re-acquire the background spectrum, and execute step S200 again.

[0033] 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 spectrum intensity ratio and / or stability of the detected spectrum. Here, two indicators, effective spectrum intensity ratio and stability, are introduced, and the relationship between the two is "and / or", so what corresponds here is actually three parallel schemes.

[0034] See also Figure 4 In a specific embodiment of the present invention, the detection spectrum collected by the detector is obtained, and based on the effective spectrum intensity ratio and / or stability of the detection spectrum, it is judged whether component detection can be performed, including: S221, obtaining a preset first number of detection spectra collected by the detector; S222, calculating the effective spectrum intensity ratio based on the first number of detection spectra; S223, when the effective spectrum 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 based on the effective spectrum intensity ratio of the detection spectrum. Since this indicator is a specific value, when making a judgment, the calculated effective spectrum intensity ratio can be compared with the preset ratio to obtain a judgment result on whether component detection can be performed.

[0035] See also Figure 5 In a specific embodiment of the present invention, the detection spectrum collected by the detector is obtained, and according to the effective spectrum intensity ratio and / or stability of the detection spectrum, it is judged whether component detection can be performed, including: 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 based on whether the detection spectrum is stable. The judgment of stability can be determined by many other indicators (such as the relative standard deviation of the characteristic data set mentioned below).

[0036] See also Figure 6In a specific embodiment of the present invention, the detection spectrum collected by the detector is obtained, and it is judged whether component detection can be performed based on the effective spectrum intensity ratio and / or stability of the detection spectrum, including: S241, obtaining a preset first number of detection spectra collected by the detector; S242, calculating the effective spectrum intensity ratio based on the first number of detection spectra; S243, when the effective spectrum intensity ratio is greater than the preset ratio, further judging 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 judging whether component detection can be performed based on the two indicators of the effective spectrum intensity ratio of the detection spectrum and whether the detection spectrum is stable. Only when the two indicators are met at the same time can the detector be controlled to perform component detection, otherwise it is necessary to return and re-acquire the background spectrum.

[0037] In the above steps, it is first determined whether the effective spectrum intensity ratio meets the requirements, and then whether the detection spectrum is stable. In actual implementation, these two steps can also be performed at the same time without any order; or it is feasible to first determine whether the detection spectrum is stable, and then determine whether the effective spectrum intensity ratio meets the requirements.

[0038] In the above three embodiments, the first embodiment and the third embodiment both need to calculate the effective spectrum intensity ratio. The second embodiment and the third embodiment both need to determine whether the detected spectrum is stable. The specific calculation process of these two indicators is described in detail below.

[0039] See also Figure 7 In a specific embodiment of the present invention, calculating the effective spectrum intensity ratio according to the first number of detected spectra includes step S2221 and step S2222.

[0040] Step S2221, calculate the maximum value of each detection spectrum, and count the number of detection spectra whose maximum value meets the preset interval to obtain a second number. Assuming that the first number in the previous step is N, the maximum value of each detection spectrum is calculated, which can be recorded as m 1 、m 2 ,…,m N , the preset interval includes the interval maximum value Y max and interval minimum value Y min In this step, it is equivalent to judging each m i (i∈1,2,…,N), whether it is in Y min ~Y max The second number finally obtained can be recorded as M.

[0041] Step S2222: Obtain an effective spectral intensity ratio according to the ratio of the second number to the first number. Taking the above M and N as an example, the effective spectral intensity ratio A=M / N.

[0042] See also Figure 8 In a specific embodiment of the present invention, judging whether the detected spectra are stable according to the first number of detected spectra includes steps S2321 to S2324.

[0043] 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 spectrum maximum value, spectrum peak area, light intensity at a specified wavelength, etc. mentioned above.

[0044] Step S2322: Obtain a feature data set of all detected spectra based on the features of each detected spectrum. Similarly, taking N detected spectra as an example, through this step of processing, a feature data set (f 1 ,f 2 ,…,f N ).

[0045] Step S2323, calculate the relative standard deviation of the feature data set. Relative Standard Deviation (RSD) is a statistic that measures the degree of data dispersion. It is the ratio of the standard deviation to the mean value, usually expressed as a percentage. The relative standard deviation is used to evaluate the stability and reliability of the data. The smaller the RSD, the smaller the degree of data dispersion and the higher the data stability. Conversely, the larger the RSD, the greater 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.

[0046] Step S2324: When the relative standard deviation is lower than the set threshold, the detected spectrum is stable; otherwise, the detected spectrum is unstable.

[0047] It should be noted that the steps of the above methods are divided only for the purpose of clear description. When implementing, they can be combined into one step or some steps can be split and decomposed into multiple steps. As long as they contain the same logical relationship, they are all within the scope of protection of this application; adding insignificant modifications or introducing insignificant designs to the algorithm or process, but not changing the core design of the algorithm and process are all within the scope of protection of this patent. Fig. 9 The diagram shows a complete flow chart of another flame interference resistant LIBS control method, which is not divided according to the above steps, but the actual execution logic is the same.

[0048] See also Fig.10 , Fig.10 An anti-interference LIBS control system provided for one 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 can include a natural gas spray unit. The detector 102 is used to collect the background spectrum or detection spectrum of the detection point, and perform component detection based on the detection spectrum. Specifically, the detector 102 is a laser induced breakdown spectrometer, which is a spectrometer that uses a high-energy laser to excite the sample surface 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-mentioned anti-interference LIBS control method to complete the component detection of the melt to be detected. The control unit 103 can be, for example, a computer or an industrial computer, on which software is installed for executing the above-mentioned anti-interference LIBS control method.

[0049] In general, the present invention can solve the problem of directly detecting the melt flame affecting the LIBS spectrum, and improve the accuracy of quantitative analysis by linking intelligent detection with on-site working conditions. Taking the Cu element as an example, Fig.11 This is a comparison chart between the predicted concentration and reference concentration of the Cu element detected when the traditional insulation system is not turned off; Fig.12 The control method of the present invention is used, and the comparison chart detected shows that after the control method of the present invention is used, 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 uses a model for calculation and prediction when performing component detection based on the detection spectrum, the detected concentration is the predicted concentration, and the reference concentration is the actual concentration. The closer the two are (that is, the closer the point in the figure is to the middle oblique line), the more accurate the detection is.

[0050] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. An anti-interference LIBS control method, characterized in that: include: The heat preservation system is controlled to be turned off, and after a preset first time, a background spectrum collected by the detector is obtained; According to the background spectrum, determine whether the current ambient temperature meets the preset temperature threshold: If yes, obtain the detection spectrum collected by the detector, and determine whether component detection can be performed based on the effective spectral intensity ratio and / or stability of the detection spectrum: If yes, 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-acquire the background spectrum.

2. The anti-interference LIBS control method according to claim 1, characterized in that: The insulation system includes a natural gas spray unit; Controlling the insulation system to shut down includes: issuing a first control instruction to shut down the natural gas spray unit; After the detection is completed, the insulation system is controlled to open, including: after the detection is completed, a second control instruction is issued to open the natural gas spray unit.

3. The anti-interference LIBS control method according to claim 2, characterized in that: The first time is set by the following steps: Obtaining a second time for the melt 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 speed of the melt to be detected; The preset first time is obtained according to the second time.

4. The anti-interference LIBS control method according to claim 1, characterized in that: Judging 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 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.

5. The anti-interference LIBS control method according to claim 1, characterized in that: Obtaining 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, including: Acquiring a preset first number of detection spectra collected by the detector; Calculating the effective spectrum intensity ratio according to the first number of detected spectra; When the effective spectrum intensity ratio is greater than the preset ratio, component detection can be performed, otherwise component detection cannot be performed.

6. The anti-interference LIBS control method according to claim 1, characterized in that: Obtaining 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, including: Acquiring a preset first number of detection spectra collected by the detector; judging whether the detection spectra are 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.

7. The anti-interference LIBS control method according to claim 1, characterized in that: Obtaining 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, including: Acquiring a preset first number of detection spectra collected by the detector; Calculating the effective spectrum intensity ratio according to the first number of detected spectra, When the effective spectrum intensity ratio is greater than the preset ratio, further judging whether the detected 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.

8. The interference-resistant LIBS control method according to claim 5 or 7, characterized in that: Calculating the effective spectrum intensity ratio according to the first number of detected spectra includes: Calculating the maximum value of each of the detection spectrums, and counting the number of detection spectrums whose maximum values ​​satisfy a preset interval, to obtain a second number; The effective spectral intensity ratio is obtained according to the ratio of the second number to the first number.

9. The interference-resistant LIBS control method according to claim 6 or 7, characterized in that: Judging whether the detection spectra are stable according to the first number of detection spectra includes: Performing data normalization and feature extraction on each of the detection spectra to obtain features of each of the detection spectra; According to the characteristics of each of the detection spectra, a characteristic data set of all detection spectra is obtained; Calculating the relative standard deviation of the feature data set; When the relative standard deviation is lower than a set threshold, the detection spectrum is stable, otherwise the detection spectrum is unstable.

10. An anti-interference LIBS control system, characterized in that: include: Insulation system, used to insulate the surface of the melt to be tested; A detector, used to collect the background spectrum or detection spectrum of the detection point and perform component detection based on the detection spectrum; as well as A control unit is used to control the insulation system and the detector according to the anti-interference LIBS control method according to any one of claims 1 to 9 to complete the composition detection of the melt to be detected.

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