Rapid nondestructive component quantitative analysis method and system for aqueous film-forming foam extinguishing agent

Abstract

The invention discloses a rapid nondestructive component quantitative analysis method and system for an aqueous film-forming foam extinguishing agent, and relates to the technical field of near-infrared spectroscopic analysis, and the method comprises the following steps: obtaining near-infrared original spectrograms of an aqueous film-forming foam extinguishing agent standard sample, deionized water and a sample to be detected, and carrying out smooth pretreatment; pre-treatment spectrograms of the standard sample, the deionized water and the sample to be detected are obtained; performing variance correction on the basis of the preprocessed spectrogram of the standard sample and the preprocessed spectrogram of the deionized water to obtain a new standard sample near-infrared absorption spectrogram, spectrograms of the aqueous film-forming foam extinguishing agents with different fluorocarbon surfactant contents and a corrected spectrum of the sample to be detected; and establishing a component quantitative analysis model according to the aqueous film-forming foam extinguishing agent spectrogram, and inputting the corrected spectrum of the sample to be detected into the component quantitative analysis model to obtain the content of each component in the sample to be detected. The method for quantifying the components of the foam extinguishing agent provided by the invention has the characteristics of rapidness, simplicity, convenience and low cost.

Description

Technical Field

[0001] The invention relates to the technical field of near infrared spectroscopy analysis, in particular to a method and system for rapid and non-destructive component quantitative analysis of an aqueous film-forming foam fire extinguishing agent. Background Art

[0002] In today's era of booming new energy technologies, people have become increasingly dependent on various electronic devices, including electric bicycles, electric cars, various household appliances, and high-voltage electronic devices in power supply systems. Although the widespread use of these electronic devices has brought a lot of convenience to our lives, it has also brought various unpredictable safety hazards.

[0003] In view of the particularity of fires caused by electronic equipment, aqueous film-forming foam fire extinguishing agents have been widely used in fire safety caused by electronic equipment due to their fast fire extinguishing speed and no serious secondary pollution or damage to electronic equipment. The quality inspection of aqueous film-forming foam fire extinguishing agents used in fire safety has received more and more attention. However, there is a problem of fire extinguishing agent failure caused by the deterioration or volatilization of the main components during the preparation and storage of foam fire extinguishing agents, which affects the quality inspection of aqueous film-forming foam fire extinguishing agents during production and long-term storage. Therefore, the present invention develops a rapid and non-destructive quantitative analysis method for the main components of aqueous film-forming foam fire extinguishing agents, fluorocarbon surfactants, stabilizers and antifreeze agents, which combines near-infrared spectroscopy technology with statistical analysis mathematical models, and can accurately predict the exact content of the main components in the fire extinguishing agent sample to be tested, which is of great significance for rapid detection of fire extinguishing agent quality. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is how to provide a preprocessing method for the near-infrared spectrum of an aqueous film-forming foam fire extinguishing agent, and then establish a quantitative analysis model of the main components of the aqueous film-forming foam fire extinguishing agent, fluorocarbon surfactant, antifreeze agent, hydrocarbon surfactant and stabilizer, based on the processed spectrum using a partial least squares model, thereby solving the problem of fire extinguishing agent failure caused by the deterioration and volatilization of the main components during the preparation and storage of the foam fire extinguishing agent, which is of great significance to the quality detection of the aqueous film-forming foam fire extinguishing agent during the production and long-term storage process.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In the first aspect, an embodiment of the present invention provides a method for rapid and non-destructive component quantitative analysis of an aqueous film-forming foam fire extinguishing agent, which includes obtaining near-infrared original spectra of a standard sample of the aqueous film-forming foam fire extinguishing agent, deionized water, and a sample to be tested and performing smoothing preprocessing to obtain preprocessed spectra of the standard sample, deionized water, and the sample to be tested; performing variance correction based on the preprocessed spectrum of the standard sample and the preprocessed spectrum of deionized water to obtain a new near-infrared absorption spectrum of the standard sample, a spectrum of the aqueous film-forming foam fire extinguishing agent with different fluorocarbon surfactant contents, and a corrected spectrum of the sample to be tested; establishing a component quantitative analysis model based on the spectrum of the aqueous film-forming foam fire extinguishing agent, and inputting the corrected spectrum of the sample to be tested into the component quantitative analysis model to obtain the content of each component in the sample to be tested.

[0008] As a preferred scheme of the method for rapid and non-destructive quantitative component analysis of the aqueous film-forming foam fire extinguishing agent of the present invention, obtaining the content of each component in the sample to be tested includes the following steps: establishing a component quantitative analysis model of the aqueous film-forming foam fire extinguishing agent based on the corrected predicted near-infrared spectrum full spectrum data of the aqueous film-forming foam fire extinguishing agent sample and the accurate content of the fire extinguishing agent components measured by the standard weight method, and using it as a prediction model to obtain a component quantitative analysis prediction model of the aqueous film-forming foam fire extinguishing agent; substituting the corrected spectrum of the sample to be tested into the component quantitative analysis prediction model of the aqueous film-forming foam fire extinguishing agent to obtain the content of each component in the fire extinguishing agent sample to be tested.

[0009] As a preferred embodiment of the method for rapid and non-destructive quantitative component analysis of the aqueous film-forming foam fire extinguishing agent of the present invention, the content of each component includes the content of fluorocarbon surfactant, hydrocarbon surfactant, stabilizer and antifreeze agent.

[0010] As a preferred scheme of the rapid and non-destructive component quantitative analysis method of the aqueous film-forming foam fire extinguishing agent of the present invention, wherein: the aqueous film-forming foam fire extinguishing agent includes T1% AFFF type foam fire extinguishing agent and T2% AFFF type foam fire extinguishing agent; the absorption wavelength collection range of the near-infrared original spectrum is P1nm-P2nm.

[0011] As a preferred solution of the method for rapid and non-destructive quantitative component analysis of the aqueous film-forming foam fire extinguishing agent described in the present invention, the smoothing preprocessing includes one or more combinations of Savitzky-Golay filter smoothing, AdjacentAveraging algorithm, FFTFiltering algorithm and second-order derivative of five-point differential width.

[0012] As a preferred embodiment of the method for rapid non-destructive quantitative analysis of components of aqueous film-forming foam fire extinguishing agent of the present invention, the variance correction based on the pre-processed spectrum of the standard sample and the pre-processed spectrum of deionized water refers to taking the pre-processed spectrum of deionized water as the correction spectrum, and calculating the absolute difference of the absorbance of each wavelength in the pre-processed spectrum of the standard sample relative to the spectrum of deionized water. The specific formula is as follows:

[0013]

[0014] Among them, Y i A is the absolute difference of absorbance at each wavelength in the pre-processed spectrum of the standard sample relative to the spectrum of deionized water; i is the absorbance value of the foam fire extinguishing agent sample at the i-th wavelength; is the absorbance value of the foam fire extinguishing agent sample at the i-th wavelength.

[0015] As a preferred scheme of the method for rapid and non-destructive quantitative component analysis of the aqueous film-forming foam fire extinguishing agent described in the present invention, before obtaining the near-infrared original spectra of the aqueous film-forming foam fire extinguishing agent standard sample and deionized water, for the near-infrared spectrum collection of all samples, the samples should be loaded into a Q1mm-Q2mm quartz or optical glass cuvette under constant temperature conditions, and then placed in the sample chamber of the near-infrared equipment for spectral collection.

[0016] In the second aspect, in order to further solve the safety problems existing in near-infrared spectral analysis, the present invention provides a rapid and non-destructive component quantitative analysis system for aqueous film-forming foam fire extinguishing agents, which includes: a spectrum acquisition module, which is used to use a near-infrared spectrometer to obtain the near-infrared original spectra of the aqueous film-forming foam fire extinguishing agent standard sample, deionized water and the sample to be tested, and perform smoothing preprocessing to obtain the preprocessed spectra of the standard sample, deionized water and the sample to be tested; a spectrum correction module, which is used to use the preprocessed spectrum of deionized water as the correction spectrum, calculate the absolute difference between the absorbance of each wavelength in the preprocessed spectrum of the standard sample and the preprocessed spectrum of deionized water, and obtain a new near-infrared absorption spectrum of the standard sample, the spectrum of the aqueous film-forming foam fire extinguishing agent with different fluorocarbon surfactant contents, and the corrected spectrum of the sample to be tested; a component analysis module, which is used to establish a component quantitative analysis model according to the spectrum of the aqueous film-forming foam fire extinguishing agent with different fluorocarbon surfactant contents, and substitute the corrected spectrum of the sample to be tested into the component quantitative analysis model to obtain the content of each component in the sample to be tested.

[0017] In a third aspect, an embodiment of the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the method for rapid and non-destructive quantitative analysis of components of an aqueous film-forming foam fire extinguishing agent as described in the first aspect of the present invention is implemented.

[0018] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the method for rapid and non-destructive quantitative component analysis of an aqueous film-forming foam fire extinguishing agent as described in the first aspect of the present invention is implemented.

[0019] The beneficial effects of the present invention are as follows: in view of the problems of long detection cycle and high analysis, maintenance and replacement costs existing in the existing quality detection technology of aqueous film-forming foam fire extinguishing agent, the present invention develops a main component quantitative analysis method for aqueous film-forming foam fire extinguishing agent on the basis of qualitative analysis of fire extinguishing agent quality, which is expected to repair unqualified fire extinguishing agent on the basis of obtaining the accurate content of each component of the fire extinguishing agent, thereby meeting the national quality monitoring requirements; the present invention proposes a spectrum correction method for eliminating water peak interference in the near-infrared spectrum of foam fire extinguishing agent, and then combines data processing models such as partial least squares method to establish a quantitative analysis model that can accurately predict the main components of fluorocarbon surfactant, hydrocarbon surfactant, stabilizer and antifreeze agent in aqueous film-forming foam fire extinguishing agent; the main component quantitative analysis method of aqueous film-forming foam fire extinguishing agent provided by the present invention has the advantages of simple operation, fast analysis speed, high accuracy and low cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. 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 creative work. Among them:

[0021] Figure 1 This is an overall flow chart of the method for rapid and non-destructive quantitative component analysis of the aqueous film-forming foam fire extinguishing agent in Example 1.

[0022] Figure 2 This is a schematic diagram of the structure of the computer device in Example 3.

[0023] Figure 3 The near-infrared original spectrum (A) and the pre-treated spectrum (B) of the 3% AFFF foam fire extinguishing agent in Example 4.

[0024] Figure 4 This is a schematic diagram of the near-infrared spectroscopy quantitative analysis prediction model for fluorocarbon surfactants FC of 32 3% AFFF foam fire extinguishing agent components in Example 4.

[0025] Figure 5 This is a schematic diagram of the near-infrared spectroscopy quantitative analysis test set model for 8 3% AFFF foam fire extinguishing agent components, fluorocarbon surfactants FC in Example 4.

[0026] Figure 6 This is a schematic diagram of the near-infrared spectroscopy quantitative analysis model of the antifreeze agent EG of 32 3% AFFF foam fire extinguishing agent components in Example 4.

[0027] Figure 7 This is a schematic diagram of the near-infrared spectroscopy quantitative analysis test set model for the antifreeze agent EG of 8 3% AFFF foam fire extinguishing agent components in Example 4. DETAILED DESCRIPTION

[0028] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0029] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0030] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0031] Example 1

[0032] Reference Figure 1 , which is the first embodiment of the present invention, provides a method for rapid and non-destructive quantitative analysis of components of an aqueous film-forming foam fire extinguishing agent.

[0033] The existing quality inspection methods for aqueous film-forming foam fire extinguishing agents mainly have the following problems: the foam fire extinguishing agent becomes ineffective during the preparation and storage process due to the deterioration or volatilization of the main components, which affects the quality inspection of the aqueous film-forming foam fire extinguishing agent during production and long-term storage; the existing quality inspection technology for aqueous film-forming foam fire extinguishing agents has the problems of long inspection cycle and high analysis, maintenance and replacement costs.

[0034] The present application provides a method that can effectively solve the above-mentioned problems. Next, a plurality of embodiments will be combined to explain in detail how to implement the method for rapid and non-destructive quantitative analysis of components of the aqueous film-forming foam fire extinguishing agent.

[0035] Figure 1 The overall flow chart of the rapid and non-destructive quantitative analysis method of the components of the aqueous film-forming foam fire extinguishing agent is shown, including:

[0036] S1: Obtain the original near-infrared spectra of the standard sample of the aqueous film-forming foam fire extinguishing agent and deionized water and perform smoothing preprocessing to obtain the preprocessed spectrum of the standard sample and the preprocessed spectrum of the deionized water.

[0037] Preferably, the aqueous film-forming foam fire extinguishing agent includes 3% AFFF foam fire extinguishing agent and 6% AFFF foam fire extinguishing agent.

[0038] Specifically, the absorption wavelength collection range of the near-infrared original spectrum is 800nm-3500nm.

[0039] Furthermore, before obtaining the near-infrared original spectra of the aqueous film-forming foam fire extinguishing agent standard sample and deionized water, the near-infrared spectra of all samples should be collected by placing the samples in 0.1-10 mm quartz or optical glass cuvettes under constant temperature conditions, and then placing them in the sample chamber of the near-infrared device for spectral collection.

[0040] Specifically, the smoothing preprocessing includes one or more combinations of Savitzky-Golay filter smoothing, AdjacentAveraging algorithm, FFT Filtering algorithm, and second-order derivative of five-point differential width.

[0041] Preferably, by selecting a wavelength range of 800-3500nm and using a cuvette of specific thickness for collection under constant temperature conditions, this wavelength range covers the characteristic absorption peaks of each component in the aqueous film-forming foam fire extinguishing agent, especially the double frequency and combined frequency bands of CH and CF bonds, thereby improving the accuracy of detection; the setting of constant temperature conditions can effectively reduce the impact of temperature fluctuations on the near-infrared spectrum and improve the repeatability of the data.

[0042] S2: Based on the pre-processed spectrum of the standard sample and the pre-processed spectrum of deionized water, variance correction is performed to obtain a new near-infrared absorption spectrum of the standard sample, a spectrum of the aqueous film-forming foam fire extinguishing agent with different fluorocarbon surfactant contents, and a corrected spectrum of the sample to be tested.

[0043] Preferably, performing variance correction based on the pre-processed spectrum of the standard sample and the pre-processed spectrum of deionized water means taking the pre-processed spectrum of deionized water as the correction spectrum and calculating the absolute difference of the absorbance at each wavelength in the pre-processed spectrum of the standard sample relative to the spectrum of deionized water. The specific formula is as follows:

[0044]

[0045] Among them, Y i A is the absolute difference of absorbance at each wavelength in the pre-processed spectrum of the standard sample relative to the spectrum of deionized water; i is the absorbance value of the foam fire extinguishing agent sample at the i-th wavelength; is the absorbance value of the foam fire extinguishing agent sample at the i-th wavelength.

[0046] Preferably, by using deionized water as a calibration reference and calculating the absolute difference with the deionized water spectrum, the influence of matrix effect and instrument drift can be effectively eliminated, especially for AFFF type foam fire extinguishing agent, because its main component is aqueous solution, using deionized water as a calibration reference can highlight the spectral characteristics of the active component.

[0047] S3: A component quantitative analysis model is established according to the spectrum of the aqueous film-forming foam fire extinguishing agent, and the calibrated spectrum of the sample to be tested is input into the component quantitative analysis model to obtain the content of each component in the sample to be tested.

[0048] Preferably, obtaining the content of each component in the sample to be tested includes the following steps: based on the corrected predicted near-infrared spectrum data of the aqueous film-forming foam fire extinguishing agent sample and the accurate content of the fire extinguishing agent components measured by the standard weight method, a multi-component quantitative analysis model of the main components of the aqueous film-forming foam fire extinguishing agent, fluorocarbon surfactant, stabilizer, and antifreeze agent, is established using the partial least squares method or the neural network analysis method, and used as a prediction model to obtain a component quantitative analysis prediction model of the aqueous film-forming foam fire extinguishing agent.

[0049] The corrected spectrum of the sample to be tested is substituted into the component quantitative analysis prediction model of the aqueous film-forming foam fire extinguishing agent to obtain the content of each component in the fire extinguishing agent sample to be tested.

[0050] Specifically, the content of each component includes the content of fluorocarbon surfactant, hydrocarbon surfactant, stabilizer and antifreeze agent.

[0051] Preferably, the corrected full spectrum data is combined with the standard gravimetric measurement results to establish a component quantitative analysis model, which can not only simultaneously determine multiple components (fluorocarbon surfactants, hydrocarbon surfactants, stabilizers and antifreeze agents), but also avoid the losses that may be caused by the sample pretreatment process in traditional chemical analysis methods. Compared with traditional methods, the present invention can achieve rapid and accurate component content determination without destroying the sample.

[0052] In summary, the present invention aims at the problems of long detection cycle and high analysis and maintenance and replacement costs existing in the existing quality detection technology of aqueous film-forming foam fire extinguishing agent. On the basis of qualitative analysis of the quality of fire extinguishing agent, a main component quantitative analysis method for aqueous film-forming foam fire extinguishing agent is developed, which is expected to repair unqualified fire extinguishing agent on the basis of obtaining the accurate content of each component of the fire extinguishing agent, thereby meeting the national quality monitoring requirements; the present invention proposes a spectrum correction method for eliminating water peak interference in the near-infrared spectrum of foam fire extinguishing agent, and then combines data processing models such as partial least squares method to establish a quantitative analysis model that can accurately predict the main components of fluorocarbon surfactant, hydrocarbon surfactant, stabilizer and antifreeze agent in aqueous film-forming foam fire extinguishing agent; the main component quantitative analysis method of aqueous film-forming foam fire extinguishing agent provided by the present invention has the advantages of simple operation, fast analysis speed, high accuracy and low cost.

[0053] Embodiment 2 is an embodiment of the present invention, which provides a rapid and non-destructive component quantitative analysis system for an aqueous film-forming foam fire extinguishing agent, including: a spectrum acquisition module, which is used to use a near-infrared spectrometer to obtain the near-infrared original spectra of the aqueous film-forming foam fire extinguishing agent standard sample, deionized water and the sample to be tested and perform smoothing preprocessing to obtain the preprocessed spectra of the standard sample, deionized water and the sample to be tested; a spectrum correction module, which is used to use the preprocessed spectrum of deionized water as the correction spectrum, calculate the absolute difference between the absorbance of each wavelength in the preprocessed spectrum of the standard sample and the preprocessed spectrum of deionized water, and obtain a new near-infrared absorption spectrum of the standard sample, the spectrum of the aqueous film-forming foam fire extinguishing agent with different fluorocarbon surfactant contents and the corrected spectrum of the sample to be tested; a component analysis module, which is used to establish a component quantitative analysis model according to the spectrum of the aqueous film-forming foam fire extinguishing agent with different fluorocarbon surfactant contents, and substitute the corrected spectrum of the sample to be tested into the component quantitative analysis model to obtain the content of each component in the sample to be tested.

[0054] Embodiment 3 is an embodiment of the present invention, which is different from the previous embodiment in that:

[0055] like Figure 2As shown, if the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0056] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0057] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0058] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0059] Example 4 is an embodiment of the present invention, which provides a method for rapid and non-destructive quantitative analysis of components of an aqueous film-forming foam fire extinguishing agent. In order to verify the beneficial effects of the present invention, a scientific demonstration is carried out through simulation experiments.

[0060] In this example, by selecting an absorption cell with an optical path of 0.1 cm, a near-infrared spectrometer is used to test the near-infrared absorption spectrum of the sample between 1200nm and 2400nm, the scanning interval is set to 1.0nm, the near-infrared spectrum of the foam fire extinguishing agent sample is collected, and the Savitzky-Golay convolution smoothing method is used to smooth the original spectrum, the window points are set to 10, the polynomial order is 2, and the second-order derivative is performed to obtain the primary pretreatment standard spectrum of the qualified sample; then the same collection method is used to obtain the primary pretreatment near-infrared spectrum of deionized water; the primary pretreatment near-infrared spectrum of the deionized water is used to perform secondary correction on the primary pretreatment spectrum of the fire extinguishing agent sample, and the specific formula is as follows:

[0061]

[0062] Among them, Y i A is the absolute difference of absorbance at each wavelength in the pre-processed spectrum of the standard sample relative to the spectrum of deionized water; i is the absorbance value of the foam fire extinguishing agent sample at the i-th wavelength; is the absorbance value of the foam fire extinguishing agent sample at the i-th wavelength.

[0063] like Figure 3 The figure shows the original near-infrared spectrum of 3% AFFF foam fire extinguishing agent and the spectrum after preprocessing. Before spectrum correction, the strong near-infrared spectrum signal of water peak seriously affects the recognition of near-infrared spectrum information of each component of fire extinguishing agent. Figure 3Figure A in the middle is the near-infrared spectrum of the 3% AFFF aqueous film-forming foam fire extinguishing agent after a pretreatment. There are very strong deionized water peaks between the 1400nm-1600nm and 1850nm-2100nm bands, and the characteristic signal of the fire extinguishing agent is not obvious enough. However, when the deionized water pretreatment spectrum is used to perform a secondary pretreatment on the near-infrared spectrum of the fire extinguishing agent, the characteristic signal of the near-infrared spectrum of the fire extinguishing agent is significantly improved, as shown in Figure 1. Figure 3 As shown in Figure B, the near-infrared spectrum of the fire extinguishing agent after secondary preprocessing correction shows more obvious characteristic signal peaks at 1433nm, 1665nm, 1894nm, 2005nm, 2199nm and 2271nm, which is also more conducive to further using the near-infrared spectrum of the foam fire extinguishing agent to establish a quantitative analysis model for each component of the fire extinguishing agent.

[0064] In order to accurately obtain the true value of each component in 3% AFFF aqueous film-forming foam fire extinguishing agent, this example uses the weight method to accurately prepare 40 aqueous film-forming foam fire extinguishing agents containing components of different concentrations. The contents of fluorocarbon surfactants and antifreeze agents in the 40 extinguishing agent samples are shown in Table 1.

[0065] Table 140 Actual contents of fluorocarbon surfactants and antifreeze agents in 3% AFFF aqueous film-forming foam fire extinguishing agents

[0066] serial number FC True Value EG True Value 1 1.02 14.57 2 1.7 16.66 3 2.72 17.17 4 3.78 19.21 5 4.73 20.7 6 4.77 21.95 7 5.95 22.92 8 6.64 23.15 9 8.9 23.57 10 9.75 23.41 11 10.99 23.16 12 12.24 22.91 13 13.87 22.69 14 15.38 22.68

[0067] Table 140: Actual content of fluorocarbon surfactant and antifreeze agent in 3% AFFF aqueous film-forming foam fire extinguishing agent

[0068] serial number FC True Value EG True Value 15 15.85 22.4 16 17.24 22.23 17 17.48 21.69 18 20.13 21.49 19 22.11 21.2 20 22.78 20.9 21 23.51 20.51 22 24.23 20.15 23 25.86 20.04 24 26.05 19.71 25 28.96 19.65 26 29.36 19.02 27 32.11 18.55 28 33.7 18.39 29 36.18 18.21 30 41.07 18.04 31 42.76 17.65 32 49.84 17.61 33 2.76 16.92 34 3.76 16.82 35 7.80 16.17 36 13.06 15.79 37 19.31 15.2 38 27.90 14.03 39 30.02 13.63 40 38.80 11.94

[0069] For PLS modeling, the selection of the optimal number of principal factors is of great significance. A small number of principal factors will easily lead to underfitting of the model prediction results, while a large number of principal factors will lead to overfitting of the model prediction results. The near-infrared spectra of 32 fire extinguishing samples out of 40 fire extinguishing agent samples were selected as the training set spectra, and 8 were selected as the test set sample spectra. The optimal number of principal factors was set to 5, and the band was selected to be 1330nm-1835nm. The FC prediction set results are shown in Table 2 and Figure 4 As shown in Table 3, the model evaluation is that the correlation coefficient of the training set is Rc = 0.995, and the root mean square error of the training set is RMSECV 0.93; the FC test set results are shown in Table 3 and Figure 5 As shown, the test set correlation coefficient Rp=0.9993, and the test set root mean square error RMSECV is 0.28.

[0070] Table 2 FC training set data table

[0071] serial number True Value Predicted value deviation 1 1.02 1.29 0.27 2 1.7 2.22 0.52 3 2.72 3 0.28 4 3.78 3.44 -0.34 5 4.73 5.21 0.48 6 4.77 3.76 -1.01 7 5.95 6.16 0.21 8 6.64 6.36 -0.28 9 8.9 8.43 -0.47 10 9.75 9.84 0.09 11 10.99 11.27 0.28 12 12.24 11.89 -0.35 13 13.87 15.2 1.33 14 15.38 16.69 1.31 15 15.85 14.28 -1.57 16 17.24 16.25 -0.99 17 17.48 18.19 0.71 18 20.13 21.45 1.32 19 22.11 22.32 0.21 20 22.78 20.63 -2.15 21 23.51 23.09 -0.42 22 24.23 24.95 0.72 23 25.86 27.31 1.45 24 26.05 25.03 -1.02 25 28.96 28.17 -0.79 26 29.36 28.93 -0.43 27 32.11 32.08 -0.03 28 33.7 36.09 2.39 29 36.18 35.25 -0.93 30 41.07 40.67 -0.4 31 42.76 42.7 -0.06 32 49.84 49.25 -0.59

[0072] Table 3 FC test set data table

[0073] serial number True Value Predicted value deviation 1 2.76 2.65 0.11 2 3.76 4.16 -0.40 3 7.80 7.48 0.32 4 13.06 13.06 0.00 5 19.31 19.02 0.29 6 27.90 28.1 -0.20 7 30.02 30.41 -0.39 8 38.80 38.49 0.31

[0074] For PLS modeling, the selection of the optimal number of principal factors is of great significance. A small number of principal factors will easily lead to underfitting of the model prediction results, while a large number of principal factors will lead to overfitting of the model prediction results. The near-infrared spectra of 32 fire extinguishing samples among the 40 fire extinguishing agent samples were selected as the training set spectra, and 8 were used as the test set sample spectra. The optimal number of principal factors was set to 5, and the band was selected to be 1330nm-1835nm. The EG prediction set results are shown in Table 4 and Figure 6 As shown in Table 5, the model evaluation is that the correlation coefficient of the training set is Rc = 0.9937, and the root mean square error RMSECV of the training set is 0.2386; the FC test set results are shown in Table 5 and Figure 7 As shown, the test set correlation coefficient Rp=0.9989, and the test set root mean square error RMSECV is 0.0931.

[0075] Table 4 Antifreeze EG training set data table

[0076] serial number True Value Predicted value deviation 1 11.94 12.01 0.07 2 13.63 13.81 0.18 3 14.03 14 -0.03 4 15.2 15.32 0.12 5 15.79 15.18 -0.6 6 16.17 16.14 -0.02 7 16.82 16.94 0.12 8 16.92 17.1 0.18 9 17.61 18.13 0.52 10 17.65 17.38 -0.27 11 18.04 17.96 -0.08 12 18.21 18.34 0.12 13 18.39 18.85 0.46 14 18.55 18.51 -0.03 15 19.02 18.76 -0.26

[0077] Table 4 Antifreeze EG training set data table

[0078] serial number True Value Predicted value deviation 16 19.65 19.48 -0.17 17 19.71 19.9 0.2 18 20.04 20.43 0.39 19 20.15 19.71 -0.44 20 20.51 20.14 -0.37 21 20.9 21.01 0.11 22 21.2 21.07 -0.12 23 21.49 21.52 0.03 24 21.69 21.71 0.01 25 22.23 22.32 0.09 26 22.4 22.39 -0.01 27 22.68 22.96 0.29 28 22.69 22.61 -0.08 29 22.91 22.94 0.03 30 23.16 23.06 -0.1 31 23.41 23.25 -0.16 32 23.57 23.51 -0.06

[0079] Table 5 Antifreeze EG prediction set data table

[0080] serial number True Value Predicted value deviation 1 23.15 23.14 0.13 2 22.92 22.76 0.1 3 21.95 22 0.11 4 20.70 20.67 0.05 5 19.21 19.32 0.07 6 17.17 17.12 0.05 7 16.66 16.5 0.06 8 14.57 14.39 0.13

[0081] In summary, the present invention first provides a spectral preprocessing method for improving the near-infrared absorption spectrum of aqueous film-forming foam fire extinguishing agent, which can significantly improve the characteristic signal recognition degree of the near-infrared spectrum of the foam fire extinguishing agent; using the corrected near-infrared spectrum of the foam fire extinguishing agent combined with the quantitative analysis model, a quantitative analysis model that can accurately predict the content of the foam fire extinguishing agent components is established, which is expected to be used as a potential fire extinguishing agent precise analysis method for monitoring and repairing the production and storage process of aqueous film-forming foam fire extinguishing agent.

[0082] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A rapid and non-destructive quantitative analysis method for components of an aqueous film-forming foam fire extinguishing agent, characterized in that: include: Obtaining the original near-infrared spectra of the standard sample of the aqueous film-forming foam fire extinguishing agent, deionized water and the sample to be tested and performing smoothing preprocessing to obtain preprocessed spectra of the standard sample, deionized water and the sample to be tested; Based on the pre-processed spectrum of the standard sample and the pre-processed spectrum of deionized water, variance correction is performed to obtain a new near-infrared absorption spectrum of the standard sample, a spectrum of the aqueous film-forming foam fire extinguishing agent with different fluorocarbon surfactant contents, and a corrected spectrum of the sample to be tested; A component quantitative analysis model is established according to the spectrum of the aqueous film-forming foam fire extinguishing agent, and the corrected spectrum of the sample to be tested is input into the component quantitative analysis model to obtain the content of each component in the sample to be tested.

2. The rapid non-destructive component quantitative analysis method of aqueous film-forming foam fire extinguishing agent according to claim 1, characterized in that: Obtaining the content of each component in the sample to be tested comprises the following steps: Based on the calibrated predicted near-infrared spectrum data of the aqueous film-forming foam fire extinguishing agent sample and the accurate content of the fire extinguishing agent components measured by the standard weight method, a component quantitative analysis model of the aqueous film-forming foam fire extinguishing agent is established and used as a prediction model to obtain a component quantitative analysis prediction model of the aqueous film-forming foam fire extinguishing agent; The corrected spectrum of the sample to be tested is substituted into the component quantitative analysis prediction model of the aqueous film-forming foam fire extinguishing agent to obtain the content of each component in the fire extinguishing agent sample to be tested.

3. The rapid non-destructive component quantitative analysis method of aqueous film-forming foam fire extinguishing agent according to claim 2, characterized in that: The contents of the various components include the contents of fluorocarbon surfactant, hydrocarbon surfactant, stabilizer and antifreeze agent.

4. The rapid non-destructive component quantitative analysis method of aqueous film-forming foam fire extinguishing agent according to claim 3, characterized in that: The aqueous film-forming foam fire extinguishing agent includes T1% AFFF type foam fire extinguishing agent and T2% AFFF type foam fire extinguishing agent; The absorption wavelength collection range of the near-infrared original spectrum is P1nm-P2nm.

5. The rapid non-destructive quantitative component analysis method of aqueous film-forming foam fire extinguishing agent according to claim 4, characterized in that: The smoothing preprocessing includes one or more combinations of Savitzky-Golay filter smoothing, AdjacentAveraging algorithm, FFT Filtering algorithm and second-order derivative of five-point differential width.

6. The method for rapid non-destructive quantitative analysis of components of an aqueous film-forming foam fire extinguishing agent as claimed in claim 5, characterized in that: The variance correction based on the pre-processed spectrum of the standard sample and the pre-processed spectrum of deionized water refers to taking the pre-processed spectrum of deionized water as the correction spectrum and calculating the absolute difference of the absorbance of each wavelength in the pre-processed spectrum of the standard sample relative to the spectrum of deionized water. The specific formula is as follows: Among them, Y i A is the absolute difference of absorbance at each wavelength in the pre-processed spectrum of the standard sample relative to the spectrum of deionized water; i is the absorbance value of the foam fire extinguishing agent sample at the i-th wavelength; is the absorbance value of the foam fire extinguishing agent sample at the i-th wavelength.

7. The method for rapid non-destructive quantitative analysis of components of an aqueous film-forming foam fire extinguishing agent as claimed in claim 6, characterized in that: Before obtaining the near-infrared raw spectra of the aqueous film-forming foam fire extinguishing agent standard sample and deionized water, for the near-infrared spectrum collection of all samples, the samples should be placed in a Q1mm-Q2mm quartz or optical glass cuvette under constant temperature conditions, and then placed in the sample chamber of the near-infrared equipment for spectral collection.

8. A system for rapid and non-destructive quantitative analysis of components of an aqueous film-forming foam fire extinguishing agent, based on the method for rapid and non-destructive quantitative analysis of components of an aqueous film-forming foam fire extinguishing agent according to any one of claims 1 to 7, characterized in that: include, The spectrum acquisition module is used to obtain the near-infrared original spectra of the standard sample of the aqueous film-forming foam fire extinguishing agent, deionized water and the sample to be tested by using a near-infrared spectrometer and perform smoothing preprocessing to obtain preprocessed spectra of the standard sample, deionized water and the sample to be tested; A spectrum correction module is used to use the pre-processed spectrum of deionized water as a correction spectrum, calculate the absolute difference between the absorbance of each wavelength in the pre-processed spectrum of the standard sample and the pre-processed spectrum of deionized water, and obtain a new near-infrared absorption spectrum of the standard sample, a spectrum of the aqueous film-forming foam fire extinguishing agent with different fluorocarbon surfactant contents, and a corrected spectrum of the sample to be tested; The component analysis module is used to establish a component quantitative analysis model based on the spectrum of the aqueous film-forming foam fire extinguishing agent with different fluorocarbon surfactant contents, and substitute the corrected spectrum of the sample to be tested into the component quantitative analysis model to obtain the content of each component in the sample to be tested.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for rapid and non-destructive quantitative analysis of components of an aqueous film-forming foam fire extinguishing agent according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for rapid and non-destructive quantitative analysis of components of an aqueous film-forming foam fire extinguishing agent according to any one of claims 1 to 7 are implemented.

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