A method and system for rapid detection of harmful substances in paint based on spectral analysis

Abstract

The present application relates to the technical field of new material related services, and discloses a paint harmful substance rapid detection method and system based on spectrum analysis, the method comprising: spreading liquid paint into a test liquid film with a standard thickness, collecting a full-waveband static background spectrum; applying a non-contact pulse thermal disturbance to the test liquid film, establishing a thermal diffusion non-equilibrium field; grabbing a dynamic time-varying spectrum set of the test liquid film, extracting an absorbance transient change rate of the dynamic time-varying spectrum set; constructing a thermospectrum dynamics separation spectrum based on the absorbance transient change rate and an energy attenuation gradient of the thermal diffusion non-equilibrium field; analyzing a high-frequency response area of the thermospectrum dynamics separation spectrum, locking a specific decoupling spectrum of a paint harmful substance; and based on the integral intensity of the specific decoupling spectrum, inverting the mass fraction of the paint harmful substance to obtain a detection result report. The present application can improve the efficiency of on-site rapid screening of paint harmful substances.

Description

Technical Field

[0001] This invention relates to the field of new materials-related service technology, and in particular to a rapid detection method and system for harmful substances in coatings based on spectral analysis. Background Technology

[0002] While traditional static spectral analysis methods are convenient to operate, they are essentially based on the measurement of absorbance across the entire wavelength range under steady-state conditions. Because liquid coatings are extremely complex mixtures, high concentrations of film-forming resins, pigments, fillers, and trace amounts of harmful substances exhibit severe fingerprint region overlap and signal aliasing in their spectral characteristics. Against a static background, the strong background absorption signal of the matrix material often masks the weak characteristic peaks of harmful substances. This makes it extremely difficult for existing spectral detection techniques to accurately identify and quantify trace harmful substances without physical separation, resulting in high false alarm and false negative rates.

[0003] Existing technologies largely focus on using chemometric algorithms to mathematically denoise and correct static spectra, or developing dedicated sensors for specific single components. However, these methods do not fundamentally solve the signal aliasing problem, especially neglecting the significant differences in thermodynamic properties between components of different molecular weights. Current technologies lack a solution that can actively construct a non-equilibrium thermal diffusion field during detection by introducing an external transient energy field, and utilize the dynamic response differences of components during thermal relaxation to achieve in-situ decoupling of spectral signals. This prevents current technologies from ensuring high-sensitivity specific separation while rapidly detecting complex matrix coatings, limiting their widespread application in coating quality control. Summary of the Invention

[0004] In order to overcome the above-mentioned defects of the prior art, embodiments of the present invention provide a rapid detection method for harmful substances in coatings based on spectral analysis to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, this invention provides a rapid detection method for harmful substances in coatings based on spectral analysis, comprising:

[0006] S1: Spread the liquid coating into a test liquid film of standard thickness and collect the full-band static background spectrum of the test liquid film;

[0007] S2: Apply non-contact pulsed thermal excitation to the test liquid film to establish a non-equilibrium thermal diffusion field of the test liquid film;

[0008] S3: Capture the dynamic time-varying spectral set of the test liquid film and extract the transient rate of change of absorbance of the dynamic time-varying spectral set;

[0009] S4: Construct the thermo-dynamic separation spectrum of the liquid coating based on the transient rate of change of absorbance and the energy decay gradient of the non-equilibrium field of thermal diffusion;

[0010] S5: Analyze the high-frequency response region of the thermodynamic separation spectrum to pinpoint the specific decoupling spectrum of harmful substances in the coating;

[0011] S6: Based on the integrated intensity of the specific decoupled spectrum, the mass fraction of the harmful substances in the coating is inverted to obtain the detection result report of the harmful substances in the coating.

[0012] Optionally, the step of spreading the liquid coating into a test liquid film of standard thickness and collecting the full-band static background spectrum of the test liquid film includes:

[0013] Liquid coating is dropped onto the surface of the infrared optical window and spread into a test liquid film with uniform thickness in the micrometer range.

[0014] Perform a full-band scan on the test liquid film;

[0015] Obtain the full-band static background spectrum of the test liquid film.

[0016] Optionally, applying non-contact pulsed thermal disturbance to the test liquid film to establish a non-equilibrium thermal diffusion field of the test liquid film includes:

[0017] A short-period radiative thermal wave is projected onto the test liquid film, and the energy density of the radiative thermal wave induces a transient temperature gradient that decreases with depth along the thickness direction of the test liquid film.

[0018] Maintaining unidirectional conduction of radiated heat waves and sustaining thermal relaxation of the test liquid film creates a non-equilibrium thermal diffusion field for the test liquid film.

[0019] Optionally, the step of capturing the dynamic time-varying spectral set of the test liquid film and extracting the transient rate of change of absorbance of the dynamic time-varying spectral set includes:

[0020] The infrared transmitted light intensity signal of the test liquid film is continuously recorded;

[0021] The infrared transmitted light intensity signal is converted into a dynamic time-varying spectral set of the test liquid film;

[0022] The transient rate of change of absorbance of the dynamic time-varying spectral set is obtained by performing differential calculation on the dynamic time-varying spectral set.

[0023] Optionally, constructing the thermo-dynamic separation spectrum of the liquid coating based on the transient rate of change of absorbance and the energy decay gradient of the non-equilibrium field of thermal diffusion includes:

[0024] Calculate the energy decay gradient value of the thermal diffusion non-equilibrium field;

[0025] A two-dimensional orthogonal coordinate system for the liquid coating is established based on the energy decay gradient value and the transient rate of change of absorbance.

[0026] The data from each wavenumber point in the dynamic time-varying spectrum are projected onto the two-dimensional orthogonal coordinate system to form the thermo-dynamic separation spectrum of the liquid coating.

[0027] Optionally, the formula for calculating the energy decay gradient value is:

[0028]

[0029] in, It is the value of the energy decay gradient. It is the thermal diffusion length of the test liquid film. It is transient thermal radiation flux. It is the thermal relaxation time constant of the test liquid film. It is a time marker.

[0030] Optionally, the step of analyzing the high-frequency response region of the thermodynamic separation spectrum to pinpoint the specific decoupling spectrum of harmful substances in the coating includes:

[0031] Set physical threshold boundaries for the thermal diffusivity of small molecule volatiles in the thermo-dynamic separation spectrum;

[0032] The two-dimensional orthogonal coordinate system is divided into high-frequency response regions;

[0033] Extract spectral data points that fall within the high-frequency response region;

[0034] The spectral data points are reconstructed into specific decoupled spectra of the harmful substances in the coating.

[0035] Optionally, the step of retrieving the mass fraction of harmful substances in the coating based on the integrated intensity of the specific decoupled spectrum to obtain a report on the detection results of harmful substances in the coating includes:

[0036] Select the characteristic absorption peaks of the corresponding harmful substances in the coating from the specific decoupling spectrum;

[0037] The integral intensity of the harmful substances in the coating is obtained by performing a trapezoidal numerical integration on the characteristic absorption peak.

[0038] The mass fraction of harmful substances in the coating is obtained by quantitatively calculating the integral intensity.

[0039] The mass fraction is logically compared with a pre-set safety threshold to obtain a report on the detection results of harmful substances in the coating.

[0040] Optionally, the formula for calculating the mass fraction is:

[0041]

[0042] in, It is the mass fraction mentioned above. It is the integrated intensity of the specific decoupling spectrum. It is the molar absorptivity of the harmful substances in the coating. It is the effective optical path length. It is the density of the liquid coating. It is a non-equilibrium heat effect compensation factor.

[0043] To address the above problems, the present invention also provides a rapid detection system for harmful substances in coatings based on spectral analysis, the system comprising:

[0044] The background spectrum acquisition module is used to spread the liquid coating into a test liquid film of standard thickness and acquire the full-band static background spectrum of the test liquid film.

[0045] The non-equilibrium field establishment module is used to apply non-contact pulsed thermal excitation to the test liquid film to establish the thermal diffusion non-equilibrium field of the test liquid film.

[0046] The transient change extraction module is used to capture the dynamic time-varying spectral set of the test liquid film and extract the transient change rate of absorbance of the dynamic time-varying spectral set;

[0047] The kinetic spectrum construction module is used to construct the thermo-dynamic separation spectrum of the liquid coating based on the transient rate of change of absorbance and the energy decay gradient of the non-equilibrium field of thermal diffusion.

[0048] A specific spectral decoupling module is used to analyze the high-frequency response region of the thermo-dynamic separation spectrum and lock in the specific decoupling spectrum of harmful substances in the coating.

[0049] The quantitative inversion report module is used to invert the mass fraction of harmful substances in the coating based on the integrated intensity of the specific decoupled spectrum, and obtain a report on the detection results of harmful substances in the coating.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] This invention significantly overcomes the technical challenges of strong background interference from the coating matrix and severe overlap of characteristic peaks in traditional static spectral detection by introducing a non-contact pulsed thermal excitation mechanism. Utilizing the kinetic differences of different molecular weight components during thermal relaxation, this invention innovatively constructs a thermo-dynamic separation spectrum. By analyzing the two-dimensional orthogonal relationship between the energy decay gradient and the transient rate of change of absorbance, this invention can physically separate trace harmful substance signals submerged in the matrix background, locking onto specific decoupled spectra within the high-frequency response region. This combined analytical approach achieves accurate identification and improved signal-to-noise ratio of trace harmful substances in complex mixtures without damaging the sample's chemical structure or requiring complex physical separation.

[0052] This invention significantly improves detection efficiency and result reliability by establishing a rapid quantitative inversion system based on specific decoupled spectral integral intensity. Compared to the lengthy sample pretreatment and elution process of traditional chromatography, this invention only requires spreading the coating into a standard liquid film for full-band scanning and thermal disturbance analysis, achieving a second-level rapid response. Simultaneously, the mass fraction calculation model proposed in this invention introduces a non-equilibrium thermal effect compensation factor, effectively correcting measurement errors under dynamic environments. This enables the detection to not only possess high sensitivity at the laboratory level but also the non-contact, non-destructive, and real-time online monitoring capabilities required in industrial settings, providing strong technical support for coating production quality control and environmental supervision. Attached Figure Description

[0053] Figure 1 This is a schematic flowchart of a rapid detection method for harmful substances in coatings based on spectral analysis, provided in an embodiment of the present invention.

[0054] Figure 2 This is a functional block diagram of a rapid detection system for harmful substances in coatings based on spectral analysis, provided as an embodiment of the present invention. Detailed Implementation

[0055] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0056] This application provides a rapid detection method for harmful substances in coatings based on spectral analysis. The execution entity of this rapid detection method based on spectral analysis includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the rapid detection method for harmful substances in coatings based on spectral analysis can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster. The server can be an independent server or a cloud server that provides 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, content delivery networks, and big data and artificial intelligence platforms.

[0057] Reference Figure 1 The diagram shown is a flowchart illustrating a rapid detection method for harmful substances in coatings based on spectral analysis, according to an embodiment of the present invention. In this embodiment, the rapid detection method for harmful substances in coatings based on spectral analysis includes:

[0058] S1: Spread the liquid coating into a test liquid film of standard thickness and collect the full-band static background spectrum of the test liquid film.

[0059] In this embodiment of the invention, the step of spreading the liquid coating into a test liquid film of standard thickness and collecting the full-band static background spectrum of the test liquid film includes:

[0060] Liquid coating is dropped onto the surface of the infrared optical window and spread into a test liquid film with uniform thickness in the micrometer range.

[0061] Perform a full-band scan on the test liquid film;

[0062] Obtain the full-band static background spectrum of the test liquid film.

[0063] Specifically, a crystal material with high transmittance in the mid-infrared band and chemical inertness, such as zinc selenide or diamond, is selected as the carrier, and its surface is atomically polished to eliminate light scattering caused by surface roughness.

[0064] In detail, the operator uses a precision micro-syringe to draw a small amount of the liquid coating to be tested and drops it vertically onto the geometric center of the optical window. A spin coater or precision doctor blade is then used to apply physical shear force to the droplet.

[0065] Furthermore, given that the coating has thixotropic properties, its apparent viscosity will drop instantaneously under shear force. By utilizing this rheological property, the high-viscosity fluid can be forced to spread on the surface of the optical window by controlling the spin coating speed or the scraping pressure.

[0066] Specifically, the process requires strict control of process parameters to overcome the surface tension and edge effects of the liquid, ensuring that the final liquid film has extremely high flatness within the irradiated area, and its thickness is precisely locked at the micrometer level. This physical process successfully transforms an irregular macroscopic fluid into a test liquid film with a constant optical path and uniform internal composition, providing a standardized material basis for subsequent photon-matter interactions.

[0067] In detail, the Fourier transform infrared spectrometer is activated as the core detection device. The broadband infrared light emitted by the light source first enters the Michelson interferometer and is modulated into an interference beam with a specific optical path difference by the beam splitter. This interference beam, carrying frequency information across the entire wavelength range, is then vertically projected onto the surface of the prepared test liquid film.

[0068] Furthermore, when photons pass through the liquid film, the chemical bonds of different components in the coating, such as benzene compounds or free formaldehyde, selectively absorb photon energy that matches their vibrational frequency, causing the intensity of transmitted light to attenuate at a specific frequency.

[0069] Specifically, this absorption encompasses complex patterns across the entire mid-infrared region. The detector continuously records the signal of light intensity varying with the displacement of the moving mirror after passing through the liquid film at an extremely high sampling rate. To improve the signal-to-noise ratio, the device typically performs multiple cumulative scans.

[0070] In detail, this step does not directly output a visualized spectrum, but completes a complex photoelectric conversion process, fully encoding the quantum energy level transition information at the microscopic level of matter into the time domain signal, and finally producing infrared interference raw signal data containing rich information about the material structure.

[0071] Furthermore, the acquired raw infrared interferometric signal data is input to the central processing unit, where a fast Fourier transform algorithm is used for core calculations. This algorithm, through complex integral transforms, inverts the optical path difference signal in the time domain into a single-beam spectrum in the frequency domain.

[0072] Specifically, the system synchronously calls pre-collected air background data or blank window data for comparison and calculation, and calculates the ratio of transmitted light intensity to incident light intensity, thereby deducting the interference of water vapor, carbon dioxide in the air and the absorption of the optical window itself on the signal.

[0073] In detail, the transmittance data is converted into absorbance data, because only in absorbance mode is the signal intensity linearly proportional to the substance concentration. Based on this, algorithms such as polynomial fitting are used to eliminate baseline drift or scattering tilt caused by minute differences in the smoothness of the liquid film surface. The resulting spectrum exhibits a multi-peak superposition, containing both strong absorption peaks from the solvent and resin, as well as masking weak absorption peaks from trace amounts of harmful substances.

[0074] Furthermore, this static spectrum characterizes the total superposition absorption characteristics of all components of the coating at room temperature and pressure, serving as a zero-point reference for subsequent establishment of the thermal diffusion non-equilibrium field and dynamic differential analysis, ultimately generating a full-band static background spectrum with clear physical meaning.

[0075] S2: Apply non-contact pulsed thermal disturbance to the test liquid film to establish a non-equilibrium thermal diffusion field of the test liquid film.

[0076] In this embodiment of the invention, applying non-contact pulsed thermal disturbance to the test liquid film to establish a non-equilibrium thermal diffusion field of the test liquid film includes:

[0077] A short-period radiative thermal wave is projected onto the test liquid film, and the energy density of the radiative thermal wave induces a transient temperature gradient that decreases with depth along the thickness direction of the test liquid film.

[0078] Maintaining unidirectional conduction of radiated heat waves and sustaining thermal relaxation of the test liquid film creates a non-equilibrium thermal diffusion field for the test liquid film.

[0079] Specifically, in conventional infrared spectroscopy detection, the sample is usually in a state of thermodynamic equilibrium. At this time, the molecular thermal motion of all components is in a uniform background noise, which causes the characteristic signals of trace harmful substances to be completely submerged by the high concentration of resin matrix signals.

[0080] Specifically, a non-contact pulsed radiation source, typically composed of a high-power pulsed xenon lamp or a modulated infrared laser, is activated above the optical window. The radiation source is then controlled to emit a short-period thermal beam towards the surface of the stationary test liquid film.

[0081] Furthermore, the short period here refers to the duration of the thermal wave being much shorter than the time required for heat to penetrate the entire liquid film, typically controlled on the order of milliseconds. When a high-energy-density photon stream strikes the surface of the liquid film, the molecules on the coating surface instantly absorb the light energy and convert it into lattice vibrational heat energy, causing the surface temperature to rise sharply.

[0082] Specifically, due to the thermal resistance of the coating medium itself and the time lag, this heat cannot be conducted to the bottom of the liquid film in time, causing the bottom layer of the liquid film, which is in close contact with the optical window, to remain at near room temperature. This instantaneous energy injection forcibly creates a huge temperature difference along the micron-level thickness of the liquid film, disrupting the original thermal equilibrium of the system.

[0083] In detail, the energy density of the thermal wave decreases exponentially with increasing depth, thus creating a physical state within the liquid film that decreases nonlinearly with depth. The direct output of this physical action is a transient temperature gradient that decreases with depth, which provides the core physical driving force for subsequent signal separation using the differences in temperature sensitivity of different components.

[0084] Furthermore, the moment the external pulse excitation source is cut off, the test liquid film enters the critical thermal relaxation phase, which is the golden window for capturing molecular dynamics. At this time, the high thermal energy accumulated on the surface of the liquid film must find a dissipation path.

[0085] Specifically, since the liquid film is surrounded by air with extremely low thermal conductivity and below it is an infrared optical window crystal material with extremely high thermal conductivity, such as zinc selenide or diamond, heat will spontaneously choose the path with the least thermal resistance for transfer.

[0086] In detail, an optical window is used as a highly efficient heat sink base to force heat waves to be conducted unidirectionally from the high-temperature surface layer of the liquid film to the low-temperature underlying layer. During this heat flow conduction process, the molecules of each component inside the coating are forced to participate in the redistribution of thermal energy.

[0087] Furthermore, due to the significant physical differences in molecular weight, molecular chain structure, and thermal diffusivity between small molecule harmful substances such as benzene compounds and formaldehyde and macromolecular polymer resins, the rate at which their molecular bond vibration frequency changes and the rate of heat transfer are completely different when faced with the same thermal shock.

[0088] Specifically, small molecules have a rapid thermal response, and their spectral characteristics fluctuate dramatically with changes in temperature gradient; while macromolecular matrices have a sluggish thermal response, and their spectral characteristics change relatively slowly. This artificially created, constantly changing thermodynamically unstable state during thermal relaxation is what is known in the physical sense as a non-equilibrium field.

[0089] In detail, by maintaining this unidirectional heat conduction and natural cooling evolution process, the originally mixed chemical component signals were successfully stretched apart in both time and space dimensions, ultimately forming a thermal diffusion non-equilibrium field, which laid the only physical field basis for subsequent capture of dynamic spectral data.

[0090] S3: Capture the dynamic time-varying spectral set of the test liquid film and extract the transient rate of change of absorbance of the dynamic time-varying spectral set.

[0091] In this embodiment of the invention, the step of capturing the dynamic time-varying spectral set of the test liquid film and extracting the transient rate of change of absorbance of the dynamic time-varying spectral set includes:

[0092] The infrared transmitted light intensity signal of the test liquid film is continuously recorded;

[0093] The infrared transmitted light intensity signal is converted into a dynamic time-varying spectral set of the test liquid film;

[0094] The transient rate of change of absorbance of the dynamic time-varying spectral set is obtained by performing differential calculation on the dynamic time-varying spectral set.

[0095] Specifically, the high-sensitivity photon detector inside the spectrometer is activated; typically, a liquid nitrogen-cooled mercury cadmium telluride detector is chosen to ensure a nanosecond-level response speed for mid-infrared photons. This detector is locked within the time window of thermal relaxation evolution, continuously recording the infrared photon flux after penetrating the liquid film with extremely high temporal resolution. The detector converts the received optical signal into an analog electrical signal in real time, and then quantizes it into a digital signal stream via a high-speed analog-to-digital converter.

[0096] In detail, this physical action is not a simple single-frame photograph, but similar to high frame rate film photography. It records the continuous trajectory of light intensity changes with time and temperature, freezing the ever-changing molecular thermal motion information inside the material on each time slice, and finally producing an infrared transmitted light intensity signal sequence containing rich time dimension information.

[0097] Furthermore, the raw data output by the detector is essentially a time-varying light intensity interferogram signal. This time-domain signal cannot directly reflect the chemical composition of the material and must undergo dimensional transformation and reconstruction. The continuously recorded infrared transmitted light intensity signal is input to the signal processing unit, and the piecewise fast Fourier transform algorithm is used to perform independent spectral analysis on the data in each time slice.

[0098] Specifically, since the thermal relaxation process is continuous, the processing unit stacks hundreds or thousands of independent transient spectra in chronological order to construct a three-dimensional data matrix containing a time axis, a wavenumber axis, and an absorbance axis. In this matrix, each row represents the full-band spectrum at a specific moment, and each column represents the absorbance change at different times for a specific wavenumber.

[0099] In detail, this process successfully transforms the originally chaotic analog electrical signal into structured data with clear chemical and physical meaning, allowing observers to intuitively see the dynamic evolution of spectral peak positions over time. The direct output of this computation is a dynamic time-varying spectral set of the test liquid film, which provides a complete multidimensional data foundation for subsequent separation of overlapping peaks.

[0100] Furthermore, after acquiring the dynamic time-varying spectral set, although it contains time information, the strong background absorption signal generated by the extremely high concentration of the coating matrix still dominates, and the signal changes of trace harmful substances are often masked under the huge background baseline and are difficult to detect.

[0101] Specifically, first-order or higher-order differential calculations are performed on the wavenumber data of each wavenumber point in the three-dimensional spectral matrix along the time axis. By calculating the derivative of absorbance with respect to time, the signals of macromolecular resins that are insensitive to temperature changes or have a sluggish thermal response are automatically zeroed or suppressed by the mathematical algorithm because their rate of change is zero or extremely low; conversely, the slope of the absorbance change with time for small molecule harmful substances with large thermal diffusivity and a drastic response to temperature gradients is significantly amplified.

[0102] In detail, this mathematical operation essentially uses the physical property of rate of change as a new fingerprint feature to separate the mixture signal at the dynamic level. The resulting transient rate of change in absorbance no longer represents the static concentration of the substance, but accurately characterizes the activity level of different components in a non-equilibrium thermal field, becoming a key criterion for identifying harmful substances.

[0103] S4: Construct the thermo-dynamic separation spectrum of the liquid coating based on the transient rate of change of absorbance and the energy decay gradient of the non-equilibrium field of thermal diffusion.

[0104] In this embodiment of the invention, constructing the thermo-dynamic separation spectrum of the liquid coating based on the transient rate of change of absorbance and the energy decay gradient of the non-equilibrium field of thermal diffusion includes:

[0105] Calculate the energy decay gradient value of the thermal diffusion non-equilibrium field;

[0106] A two-dimensional orthogonal coordinate system for the liquid coating is established based on the energy decay gradient value and the transient rate of change of absorbance.

[0107] The data from each wavenumber point in the dynamic time-varying spectrum are projected onto the two-dimensional orthogonal coordinate system to form the thermo-dynamic separation spectrum of the liquid coating.

[0108] Specifically, the system calls upon thermal property parameters stored in the database or real-time measurement data to perform in-depth calculations on the thermal relaxation process of the test liquid film. In particular, the algorithm integrates and calculates three core physical quantities: the thermal diffusion length of the test liquid film, which characterizes the heat wave penetration capability; the partial derivative of the transient thermal radiation flux with respect to time, which characterizes the thermal energy flow velocity; and the thermal relaxation time constant, which characterizes the system's rate of equilibrium recovery.

[0109] In detail, this calculation process is not a simple addition or subtraction of values, but rather the construction of a physical function describing the decay of energy in a microscopic medium. Through this operation, the thermal state at every moment and every spatial location is compressed into a quantitative scalar value, which precisely quantifies the ability of matter to retain thermal energy in a non-equilibrium field. The direct output of this physical calculation is the energy decay gradient value, which constitutes a thermal fingerprint that distinguishes different types of matter and provides indispensable vertical coordinate data for subsequent two-dimensional orthogonal analysis.

[0110] Furthermore, an abstract two-dimensional analysis plane is established in the virtual space of the data processing unit. The transient rate of change of absorbance, representing the sensitivity of the substance to temperature changes extracted in the previous steps, is set as the horizontal axis of the plane, which reflects the response speed of the molecular bond vibrational energy levels after thermal excitation. At the same time, the energy decay gradient value of the thermal inertia of the substance, calculated in this stage, is set as the vertical axis of the plane, which reflects the relaxation rate of the molecule in the thermal field.

[0111] Specifically, this construction process provides a structured classification framework for chaotic spectral data, enabling mixed signals that were originally squeezed onto a single spectral curve to be expanded and separated on a plane, ultimately producing a dedicated two-dimensional orthogonal coordinate system.

[0112] In detail, each data point in the spectral set is traversed, and its corresponding transient rate of change of absorbance and energy decay gradient are extracted and precisely projected as coordinate pairs into the above two-dimensional orthogonal coordinate system.

[0113] Furthermore, during this projection process, signal points that were originally heavily overlapped on the traditional spectrum begin to physically separate. Due to the low spectral responsivity and slow energy decay of the macromolecular resin matrix, its data points tend to cluster together and fall near the origin of the coordinate system or in specific low-frequency regions; while harmful small molecules such as benzene compounds and free formaldehyde, due to their high spectral responsivity and fast energy decay, will have their data points significantly diverge to the far end of the coordinate system, forming independent high-frequency response clusters.

[0114] Specifically, as all data points are mapped, the originally chaotic data stream is transformed into a visual spectrum with clear regional characteristics. This technical action transforms invisible molecular dynamic differences into visible geometric distribution differences, ultimately producing a thermodynamic separation spectrum, achieving a qualitative leap from aliased spectra to separation spectra.

[0115] In this embodiment of the invention, the formula for calculating the energy attenuation gradient value is as follows:

[0116]

[0117] in, It is the value of the energy decay gradient. It is the thermal diffusion length of the test liquid film. It is transient thermal radiation flux. It is the thermal relaxation time constant of the test liquid film. It is a time marker.

[0118] Specifically, This refers to the energy decay gradient value, representing the rate of heat loss of a specific chemical component per unit spatial depth and per unit time. In a two-dimensional orthogonal coordinate system, harmful small molecules typically exhibit extremely high... The lower heat transfer efficiency is due to their ability to respond rapidly to thermal disturbances and dissipate energy quickly; while macromolecular resin matrices, due to molecular chain entanglement, exhibit lower heat transfer efficiency. value.

[0119] In detail, This refers to the thermal diffusion length of the test liquid film. In a liquid film with a thickness on the order of micrometers, the thermal diffusion length determines the detection depth of thermal disturbance. For coatings with complex compositions, the thermal properties of different layers may not be uniform. As a denominator term, it serves to normalize the spatial distribution. It corrects for errors caused by minute differences in liquid film thickness or varying depths of heat wave penetration, ensuring the accuracy of the calculated values. The value reflects the intrinsic thermal properties of a substance, rather than the influence of geometric dimensions. For solvent components with high thermal conductivity, The value is relatively large; for resins with good thermal insulation properties, The value is relatively small.

[0120] Furthermore, It is the transient thermal radiation flux, a fundamental physical quantity describing heat flow. Under non-contact pulsed thermal excitation, heat from the coating surface is conducted to the cold end, forming a heat flow.

[0121] Specifically, It is the thermal relaxation time constant of the test liquid film, which is the thermal relaxation time constant of small molecule harmful substances in the coating system.

[0122] In detail, It is a time stamp. It corresponds to the acquisition timestamp of each frame of spectrum in the dynamic time-varying spectral set. It marks which stage of the thermal relaxation process has been carried out and serves as the link between spectral data and thermodynamic data.

[0123] Furthermore, This represents the rate of change of transient thermal radiation flux over time. The rate of change of heat flux is greatest in the early stages of thermal relaxation. For free harmful substances in coatings, due to their high degree of molecular freedom, their response to thermal disturbances is extremely rapid, causing drastic fluctuations in heat flux instantaneously. In contrast, the cured film-forming material reacts more slowly, resulting in a gradual change in heat flux. This term directly amplifies the difference in reaction rates between harmful substances and the matrix.

[0124] S5: Analyze the high-frequency response region of the thermodynamic separation spectrum to pinpoint the specific decoupling spectrum of harmful substances in the coating.

[0125] In this embodiment of the invention, the step of analyzing the high-frequency response region of the thermodynamic separation spectrum to lock the specific decoupling spectrum of harmful substances in the coating includes:

[0126] Set physical threshold boundaries for the thermal diffusivity of small molecule volatiles in the thermo-dynamic separation spectrum;

[0127] The two-dimensional orthogonal coordinate system is divided into high-frequency response regions;

[0128] Extract spectral data points that fall within the high-frequency response region;

[0129] The spectral data points are reconstructed into specific decoupled spectra of the harmful substances in the coating.

[0130] Specifically, in the generated two-dimensional orthogonal coordinate system, although the data points of different components have been spatially discrete, a clear physical boundary standard must be established in order to achieve accurate machine recognition.

[0131] In detail, the film-forming substances in coatings are usually composed of high molecular polymers with long and entangled molecular chains, resulting in extremely low thermal diffusivity and significant hysteresis in the spectral response to thermal disturbances. In contrast, harmful substances such as benzene series compounds and formaldehyde are small molecule volatile organic compounds with large molecular free paths, high thermal diffusivity, and extremely sensitive responses to temperature gradients.

[0132] Furthermore, the thermal diffusivity limits of standard small-molecule volatiles stored in the database are used as a physical benchmark. A nonlinear physical threshold line is plotted between the energy decay gradient axis and the transient rate of change of absorbance axis in the two-dimensional spectrum through fitting calculations. This boundary line physically represents the watershed between the macromolecular matrix and the small-molecule solute in terms of thermodynamic behavior.

[0133] Specifically, this boundary is used to divide the entire two-dimensional planar space into two functional regions with distinct properties. The region located outside or far from the boundary, containing high energy decay gradient values ​​and high transient rate of change values, is defined as the target region. This physical division successfully structures the mixed signal space, thereby delineating the high-frequency response region in the coordinate system, within which only signal points with highly active thermal properties are allowed to exist.

[0134] In detail, once the high-frequency response region is physically defined, the data processing flow enters the core signal screening stage. In traditional full-band spectra, the weak absorption peaks of harmful substances are often covered by the broad, strong absorption peaks of resins and pigments, making them difficult to observe directly.

[0135] Furthermore, the two-dimensional coordinate system is scanned point by point, and the coordinate position of each spectral data point is logically determined. Data points falling within the high-frequency response region are identified as small molecule harmful substances with high thermal diffusivity, locked, and fully extracted; while the massive background data points falling outside the region are regarded as interference noise and are completely filtered out.

[0136] Specifically, this process is akin to a high-precision molecular sieve filtration at the microscopic physical level, retaining only the chemical bond vibration signals that are active under thermal disturbance. The direct output of this technique is a series of spectral data points falling within the high-frequency response region. Although these data points are discrete in wavenumber, they purely carry the spectral characteristics of harmful substances, completely detached from the background interference of the matrix material.

[0137] In detail, the original wavenumber index information carried by each extracted data point is read, and these data points are reordered and anchored according to the physical order of wavenumber from high to low in the mid-infrared spectrum. Since the ordinate of these data points has eliminated the superposition effect of the matrix background, they truly reflect the transition probability of harmful molecules at each energy level.

[0138] Furthermore, by using interpolation algorithms or curve fitting techniques, these discrete points are smoothly connected to reconstruct a continuous absorption curve. This curve is highly consistent with the infrared spectrum of the harmful substance in the standard pure product in terms of morphology, clearly showing characteristic fingerprint peaks such as benzene ring skeleton vibrations and stretching vibrations of methyl or methylene groups, while the original broad resin peaks completely disappear.

[0139] Specifically, this reorganization process achieves a logical upgrade from point to line, ultimately producing a specific decoupled spectrum of harmful substances in the coating. This allows testing personnel to intuitively identify and quantitatively analyze trace harmful components in mixed coatings, just as they would observe pure substances.

[0140] S6: Based on the integrated intensity of the specific decoupled spectrum, the mass fraction of the harmful substances in the coating is inverted to obtain the detection result report of the harmful substances in the coating.

[0141] In this embodiment of the invention, the step of retrieving the mass fraction of harmful substances in the coating based on the integrated intensity of the specific decoupled spectrum to obtain a detection result report of the harmful substances in the coating includes:

[0142] Select the characteristic absorption peaks of the corresponding harmful substances in the coating from the specific decoupling spectrum;

[0143] The integral intensity of the harmful substances in the coating is obtained by performing a trapezoidal numerical integration on the characteristic absorption peak.

[0144] The mass fraction of harmful substances in the coating is obtained by quantitatively calculating the integral intensity.

[0145] The mass fraction is logically compared with a pre-set safety threshold to obtain a report on the detection results of harmful substances in the coating.

[0146] Specifically, after obtaining a pure, decoupled spectrum free from matrix interference, although background noise has been significantly suppressed, multiple absorption peaks may still exist on the spectral curve due to vibrational modes of different chemical bonds within the harmful substance molecules. To achieve high-precision quantitative analysis, it is necessary to screen out the analytical bands from these peaks that best represent the concentration of the substance and are least affected by other factors.

[0147] In detail, a standard substance fingerprint database is loaded, and based on the molecular structure characteristics of the target hazardous substance, such as benzene series compounds or free formaldehyde, the vibrational frequency region of its specific infrared active group is located. For example, for benzene series compounds, the fingerprint region where the benzene ring skeleton vibration is located will be searched.

[0148] Furthermore, a peak-finding algorithm is used to automatically scan the specific decoupled spectrum, identifying the maxima within the frequency band and defining the start and end wavenumber range of the peak. This process eliminates interference from edge stray signals and precisely anchors the physical object used for subsequent calculations. The direct output of this technique is the clearly identified characteristic absorption peak, which forms the sole energy measurement basis for quantitative inversion.

[0149] Specifically, after identifying the characteristic absorption peak, traditional single-point peak intensity quantitative methods are easily affected by instrument resolution settings or band broadening effects caused by molecular thermal motion, thus introducing measurement errors. In contrast, peak area, i.e., integrated intensity, can more fundamentally reflect the total absorption of photons of a specific wavelength by molecules and has higher robustness.

[0150] Specifically, within the locked characteristic absorption peak wavenumber range, the trapezoidal numerical integration algorithm is used for area calculation. This algorithm cuts the irregular area under the smooth spectral curve into countless tiny trapezoidal units, and approximates the true peak area value by accumulating the areas of these trapezoidal units. This mathematical processing effectively smooths the tiny burrs caused by detector electronic noise, and converts the two-dimensional shape characteristics of the spectrum into an accurate scalar value.

[0151] Furthermore, the direct output of this action is the integrated intensity, which represents the total infrared radiation energy intercepted by the target harmful substance molecules within this measurement optical path.

[0152] Specifically, after obtaining the integrated intensity, it needs to be converted into the mass concentration unit commonly used in the industry. However, since this detection method is carried out in a non-equilibrium thermal perturbation field, the density and effective optical path of the liquid film will undergo slight thermal expansion changes with the transient temperature field, and directly applying the Lambert-Beer law at room temperature will result in linear deviation.

[0153] Specifically, perform the core quantitative inversion calculation. This calculation not only introduces the molar absorption coefficient of the target harmful substance, the effective optical path length of the test liquid film, and the density of the liquid coating as basic parameters, but more importantly, introduces the non-equilibrium thermal effect compensation factor. This factor is a dimensionless coefficient corrected based on thermodynamic experiments, and is used to offset the non-linear influence of the temperature gradient on the absorbance measurement.

[0154] Furthermore, by substituting the above physical quantities into the operation logic, the optical signal intensity is restored to the mass fraction of the substance. This physical calculation action successfully realizes the signal demodulation across physical fields, and finally outputs the accurate mass fraction of the harmful substances in the coating. This value directly reflects how many unit masses of harmful substances are contained in each unit mass of the coating.

[0155] Specifically, after calculating the specific mass fraction, the ultimate goal of the detection is to determine whether the coating product meets the environmental protection and safety specifications. Call the national or industry mandatory standard data pre-entered in the storage unit, such as the safety threshold specified in the limit of harmful substances for interior decoration materials.

[0156] Specifically, logically compare the calculated mass fraction value with this safety threshold. If the calculated value is lower than the threshold, it is judged as qualified; if it is higher than the threshold, it is judged as exceeding the standard. Subsequently, drive an output device such as a display screen or a printer to automatically generate a structured document. This document not only displays the specific content value, but also intuitively marks the compliance conclusion, and attaches the relevant spectral fingerprint图谱 as evidence support.

[0157] Furthermore, this action completes the final step in the transformation from data to decision support, ultimately producing a report on the detection results of harmful substances in the coatings, providing direct legal or technical basis for production quality control or market supervision.

[0158] In this embodiment of the invention, the formula for calculating the mass fraction is:

[0159]

[0160] in, It is the mass fraction mentioned above. It is the integrated intensity of the specific decoupling spectrum. It is the molar absorptivity of the harmful substances in the coating. It is the effective optical path length. It is the density of the liquid coating. It is a non-equilibrium heat effect compensation factor.

[0161] Specifically, The mass fraction represents the proportion of the target hazardous substance's mass in the total mass of the liquid coating.

[0162] In detail, This is the integrated intensity of the specific decoupling spectrum. In a physical environment, the original spectrum is contaminated with background noise from the resin and solvent. After thermodynamic separation, Instead of single-point absorbance, the peak area is obtained by trapezoidal integration of characteristic peaks in a specifically decoupled spectrum. The integrated intensity is used instead of peak height because, under thermally disturbed conditions, molecular thermal motion may cause slight peak broadening. The integration method can capture the total photon loss, thus providing more robust energy measurement data.

[0163] Furthermore, This is the molar absorptivity of the harmful substances in the coating, determined by the quantum mechanical properties of the chemical bonds within the molecule. In the detection process... The value is a physical constant that has been pre-determined and stored in a database. It determines the upper limit of the detection sensitivity. The larger the value, the more sensitive the substance is to light, and the easier it is to detect trace amounts.

[0164] Specifically, This is the effective optical path length, where the liquid coating is stretched into a micrometer-scale test film. It typically corresponds to the film thickness. Due to thermal expansion or minute refraction of the beam in a non-uniform medium, the actual path traveled by the photon may deviate slightly from the geometric thickness. Accurate definition... This is the geometric premise for ensuring the applicability of the Lambert-Beer Law.

[0165] In detail, This refers to the density of the liquid coating, which serves as a bridge between volumetric optical measurements and quality regulations. Infrared spectroscopy essentially detects the number of molecules per unit volume, while environmental regulations typically limit the mass fraction. Density is thus introduced. The parameters are used to normalize the volume concentration measured by the spectrum to the mass concentration, ensuring that the test results can be directly used for legal compliance comparison.

[0166] Furthermore, It is a non-equilibrium thermal effect compensation factor. It is a dimensionless coefficient used to correct nonlinear measurement errors caused by the introduction of pulse thermal disturbance.

[0167] like Figure 2 The diagram shown is a functional block diagram of a rapid detection system for harmful substances in coatings based on spectral analysis, provided in an embodiment of the present invention.

[0168] The rapid detection system 100 for harmful substances in coatings based on spectral analysis described in this invention can be installed in an electronic device. Depending on the functions implemented, the rapid detection system 100 for harmful substances in coatings based on spectral analysis may include a background spectrum acquisition module 101, a non-equilibrium field establishment module 102, a transient change extraction module 103, a kinetic spectrum construction module 104, a specific spectrum decoupling module 105, and a quantitative inversion reporting module 106. The modules described in this invention can also be referred to as units, which are a series of computer program segments that can be executed by the processor of an electronic device and perform a fixed function, stored in the memory of the electronic device.

[0169] In this embodiment, the functions of each module / unit are as follows:

[0170] The background spectrum acquisition module 101 is used to spread the liquid coating into a test liquid film of standard thickness and acquire the full-band static background spectrum of the test liquid film.

[0171] The non-equilibrium field establishment module 102 is used to apply non-contact pulsed thermal disturbance to the test liquid film to establish the thermal diffusion non-equilibrium field of the test liquid film.

[0172] The transient change extraction module 103 is used to capture the dynamic time-varying spectral set of the test liquid film and extract the transient change rate of absorbance of the dynamic time-varying spectral set.

[0173] The dynamic spectrum construction module 104 is used to construct the thermo-dynamic separation spectrum of the liquid coating based on the transient rate of change of absorbance and the energy decay gradient of the thermal diffusion non-equilibrium field.

[0174] The specific spectral decoupling module 105 is used to analyze the high-frequency response region of the thermo-dynamic separation spectrum and lock the specific decoupling spectrum of harmful substances in the coating.

[0175] The quantitative inversion report module 106 is used to invert the mass fraction of harmful substances in the coating based on the integrated intensity of the specific decoupled spectrum, and obtain a detection result report of the harmful substances in the coating.

[0176] In the several embodiments provided by this invention, it should be understood that the disclosed methods and systems can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0177] The modules described as separate components may or may not be physically separate. The components shown as modules 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 modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0178] Furthermore, the functional modules in the various embodiments of the present invention 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. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0179] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0180] The embodiments of this application can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0181] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A rapid detection method for harmful substances in coatings based on spectral analysis, characterized in that, The method includes: S1: Spread the liquid coating into a test liquid film of standard thickness and collect the full-band static background spectrum of the test liquid film; S2: Apply non-contact pulsed thermal disturbance to the test liquid film to establish a non-equilibrium thermal diffusion field of the test liquid film, including: A short-period radiative thermal wave is projected onto the test liquid film, and the energy density of the radiative thermal wave induces a transient temperature gradient that decreases with depth along the thickness direction of the test liquid film. Maintaining unidirectional conduction of radiated heat waves and sustaining thermal relaxation of the test liquid film, a non-equilibrium thermal diffusion field is formed in the test liquid film; S3: Capture the dynamic time-varying spectral set of the test liquid film and extract the transient rate of change of absorbance of the dynamic time-varying spectral set; S4: Construct the thermo-dynamic separation spectrum of the liquid coating based on the transient rate of change of absorbance and the energy decay gradient of the non-equilibrium field of thermal diffusion, including: Calculate the energy decay gradient value of the thermal diffusion non-equilibrium field; A two-dimensional orthogonal coordinate system for the liquid coating is established based on the energy decay gradient value and the transient rate of change of absorbance. The data from each wavenumber point in the dynamic time-varying spectrum are projected onto the two-dimensional orthogonal coordinate system to form the thermo-dynamic separation spectrum of the liquid coating. S5: Analyze the high-frequency response region of the thermodynamic separation spectrum to pinpoint the specific decoupling spectra of harmful substances in the coating, including: Set physical threshold boundaries for the thermal diffusivity of small molecule volatiles in the thermo-dynamic separation spectrum; The two-dimensional orthogonal coordinate system is divided into high-frequency response regions; Extract spectral data points that fall within the high-frequency response region; The spectral data points are reconstructed into specific decoupled spectra of the harmful substances in the coating. S6: Based on the integrated intensity of the specific decoupled spectrum, the mass fraction of the harmful substances in the coating is inverted to obtain the detection result report of the harmful substances in the coating.

2. The rapid detection method for harmful substances in coatings based on spectral analysis as described in claim 1, characterized in that, The process of spreading the liquid coating into a test liquid film of standard thickness and collecting the full-band static background spectrum of the test liquid film includes: Liquid coating is dropped onto the surface of the infrared optical window and spread into a test liquid film with uniform thickness in the micrometer range. Perform a full-band scan on the test liquid film; Obtain the full-band static background spectrum of the test liquid film.

3. The rapid detection method for harmful substances in coatings based on spectral analysis as described in claim 1, characterized in that, The step of capturing the dynamic time-varying spectral set of the test liquid film and extracting the transient rate of change of absorbance of the dynamic time-varying spectral set includes: The infrared transmitted light intensity signal of the test liquid film is continuously recorded; The infrared transmitted light intensity signal is converted into a dynamic time-varying spectral set of the test liquid film; The transient rate of change of absorbance of the dynamic time-varying spectral set is obtained by performing differential calculation on the dynamic time-varying spectral set.

4. The rapid detection method for harmful substances in coatings based on spectral analysis as described in claim 1, characterized in that, The formula for calculating the energy decay gradient value is as follows: in, It is the value of the energy decay gradient. It is the thermal diffusion length of the test liquid film. It is transient thermal radiation flux. It is the thermal relaxation time constant of the test liquid film. It is a time marker.

5. The rapid detection method for harmful substances in coatings based on spectral analysis as described in claim 1, characterized in that, The method of retrieving the mass fraction of harmful substances in the coating based on the integrated intensity of the specific decoupled spectrum to obtain a detection result report of the harmful substances in the coating includes: Select the characteristic absorption peaks of the corresponding harmful substances in the coating from the specific decoupling spectrum; The integral intensity of the harmful substances in the coating is obtained by performing a trapezoidal numerical integration on the characteristic absorption peak. The mass fraction of harmful substances in the coating is obtained by quantitatively calculating the integral intensity. The mass fraction is logically compared with a pre-set safety threshold to obtain a report on the detection results of harmful substances in the coating.

6. The rapid detection method for harmful substances in coatings based on spectral analysis as described in claim 5, characterized in that, The formula for calculating the mass fraction is: in, It is the mass fraction mentioned above. It is the integrated intensity of the specific decoupling spectrum. It is the molar absorptivity of the harmful substances in the coating. It is the effective optical path length. It is the density of the liquid coating. It is a non-equilibrium heat effect compensation factor.

7. A rapid detection system for harmful substances in coatings based on spectral analysis, used to implement the rapid detection method for harmful substances in coatings based on spectral analysis as described in any one of claims 1-6, characterized in that, The system includes: The background spectrum acquisition module is used to spread the liquid coating into a test liquid film of standard thickness and acquire the full-band static background spectrum of the test liquid film. A non-equilibrium field establishment module is used to apply non-contact pulsed thermal disturbance to the test liquid film to establish a thermal diffusion non-equilibrium field of the test liquid film, including: A short-period radiative thermal wave is projected onto the test liquid film, and the energy density of the radiative thermal wave induces a transient temperature gradient that decreases with depth along the thickness direction of the test liquid film. Maintaining unidirectional conduction of radiated heat waves and sustaining thermal relaxation of the test liquid film, a non-equilibrium thermal diffusion field is formed in the test liquid film; The transient change extraction module is used to capture the dynamic time-varying spectral set of the test liquid film and extract the transient change rate of absorbance of the dynamic time-varying spectral set; The kinetic spectrum construction module is used to construct the thermo-kinetic separation spectrum of the liquid coating based on the transient rate of change of absorbance and the energy decay gradient of the non-equilibrium field of thermal diffusion, including: Calculate the energy decay gradient value of the thermal diffusion non-equilibrium field; A two-dimensional orthogonal coordinate system for the liquid coating is established based on the energy decay gradient value and the transient rate of change of absorbance. The data from each wavenumber point in the dynamic time-varying spectrum are projected onto the two-dimensional orthogonal coordinate system to form the thermo-dynamic separation spectrum of the liquid coating. A specific spectral decoupling module is used to analyze the high-frequency response region of the thermodynamic separation spectrum and lock the specific decoupling spectrum of harmful substances in the coating, including: Set physical threshold boundaries for the thermal diffusivity of small molecule volatiles in the thermo-dynamic separation spectrum; The two-dimensional orthogonal coordinate system is divided into high-frequency response regions; Extract spectral data points that fall within the high-frequency response region; The spectral data points are reconstructed into specific decoupled spectra of the harmful substances in the coating. The quantitative inversion report module is used to invert the mass fraction of harmful substances in the coating based on the integrated intensity of the specific decoupled spectrum, and obtain a report on the detection results of harmful substances in the coating.

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