CN117288708A - Method for detecting vitrification degree of vitrification product of solid waste - Google Patents
Method for detecting vitrification degree of vitrification product of solid waste Download PDFInfo
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- CN117288708A CN117288708A CN202311285797.XA CN202311285797A CN117288708A CN 117288708 A CN117288708 A CN 117288708A CN 202311285797 A CN202311285797 A CN 202311285797A CN 117288708 A CN117288708 A CN 117288708A
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- 238000004017 vitrification Methods 0.000 title claims abstract description 57
- 238000000034 method Methods 0.000 title claims abstract description 43
- 239000002910 solid waste Substances 0.000 title claims abstract description 26
- 238000011208 chromatographic data Methods 0.000 claims abstract description 14
- 238000001228 spectrum Methods 0.000 claims abstract description 14
- 230000003595 spectral effect Effects 0.000 claims abstract description 9
- 230000008569 process Effects 0.000 claims abstract description 8
- 238000005033 Fourier transform infrared spectroscopy Methods 0.000 claims abstract description 7
- 238000010521 absorption reaction Methods 0.000 claims abstract description 5
- 238000004364 calculation method Methods 0.000 claims abstract description 5
- 239000000523 sample Substances 0.000 claims description 30
- 239000012528 membrane Substances 0.000 claims description 17
- 239000011521 glass Substances 0.000 claims description 14
- 238000003860 storage Methods 0.000 claims description 14
- 238000012937 correction Methods 0.000 claims description 10
- 238000001914 filtration Methods 0.000 claims description 10
- 239000002699 waste material Substances 0.000 claims description 9
- 238000004140 cleaning Methods 0.000 claims description 8
- 239000000126 substance Substances 0.000 claims description 8
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 8
- 239000012488 sample solution Substances 0.000 claims description 6
- 238000003828 vacuum filtration Methods 0.000 claims description 6
- 238000002156 mixing Methods 0.000 claims description 3
- 238000002203 pretreatment Methods 0.000 claims description 2
- 238000001514 detection method Methods 0.000 abstract description 6
- 230000008859 change Effects 0.000 abstract description 3
- 125000000524 functional group Chemical group 0.000 abstract description 3
- 238000004590 computer program Methods 0.000 description 9
- QTBSBXVTEAMEQO-UHFFFAOYSA-N Acetic acid Chemical compound CC(O)=O QTBSBXVTEAMEQO-UHFFFAOYSA-N 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 7
- 238000012545 processing Methods 0.000 description 7
- 238000001035 drying Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 238000002844 melting Methods 0.000 description 4
- 230000008018 melting Effects 0.000 description 4
- 238000004566 IR spectroscopy Methods 0.000 description 3
- 229960000583 acetic acid Drugs 0.000 description 3
- 238000002386 leaching Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 239000002245 particle Substances 0.000 description 3
- 238000004064 recycling Methods 0.000 description 3
- VMHLLURERBWHNL-UHFFFAOYSA-M Sodium acetate Chemical compound [Na+].CC([O-])=O VMHLLURERBWHNL-UHFFFAOYSA-M 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 239000007853 buffer solution Substances 0.000 description 2
- 238000001816 cooling Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 239000012362 glacial acetic acid Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 239000001632 sodium acetate Substances 0.000 description 2
- 235000017281 sodium acetate Nutrition 0.000 description 2
- 239000000243 solution Substances 0.000 description 2
- 238000003756 stirring Methods 0.000 description 2
- 238000005303 weighing Methods 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000003556 assay Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010790 dilution Methods 0.000 description 1
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- 239000000446 fuel Substances 0.000 description 1
- 239000003365 glass fiber Substances 0.000 description 1
- 238000000227 grinding Methods 0.000 description 1
- 125000002887 hydroxy group Chemical group [H]O* 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 238000002329 infrared spectrum Methods 0.000 description 1
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- 125000000896 monocarboxylic acid group Chemical group 0.000 description 1
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- 239000011148 porous material Substances 0.000 description 1
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N2021/3595—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using FTIR
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- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
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- Biochemistry (AREA)
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- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a method for detecting the vitrification degree of a vitrification product of solid waste, which comprises the steps of collecting a vitrification product sample of the solid waste, scanning the product sample by using a Fourier transform infrared spectrometer to obtain spectrum data, detecting by using a chromatographic detector to obtain the spectrum data, comparing the spectrum data with a characteristic absorption peak of a standard curve according to the spectrum data, and calculating a reference value; calculating the similarity of the chromatographic data and the spectral data, and adding all similarity values to obtain a reference coefficient; and calculating and correcting according to the reference value and the reference coefficient, and determining the vitrification degree of the sample. The invention is based on the curve change of the organic functional group in the vitrification process, thereby accurately reflecting the vitrification degree of the sample; by comparing the standard curves with known different vitrification degrees, complex calculation or physical models are not needed, and the operation is easy; the Fourier transform infrared spectrometer is used, so that a result can be obtained in a short time, and the detection efficiency is greatly improved.
Description
Technical Field
The invention relates to a data detection technology of the vitrification degree of solid waste, in particular to a detection method of the vitrification degree of a vitrification product of solid waste.
Background
The treatment of solid waste is a global problem, the vitrification treatment is an effective solid waste treatment method, the organic waste can be converted into harmless and stable glass bodies, the high-temperature melting vitrification treatment technology is an effective and feasible treatment method for realizing the harmless, decrement and recycling of the solid waste, namely, the high-temperature melting (such as plasma melting and fuel melting) can melt and cool the solid waste, especially dangerous waste, to form glassy substances with stable physicochemical properties, and the glass bodies have the characteristics of low leaching toxicity, high environmental stability and the like, can be comprehensively utilized as building and paving materials, are favorable for reducing landfill amount, and improve environmental benefit and economic social benefit.
However, existing methods for detecting the degree of vitrification are mainly based on complex physical or chemical analysis, which are time-consuming and require specialized equipment and are not easy to operate on site. In addition, these methods generally cannot accurately and rapidly reflect the vitrification degree of vitrified products, and at present, there is a lack of pollution control standards of molten vitrification treatment technology, limit standards of harmful substance content in vitrification treatment products for recycling, and product quality standards of vitrification treatment products, and the lack of the standards restricts the operability of vitrification treatment products for recycling, restricts the development of new technology of molten vitrification treatment and the wide application of the new technology in industrial fields, so that a method for detecting the vitrification degree of vitrification products of solid wastes is needed.
Disclosure of Invention
The invention aims to provide a method for detecting the vitrification degree of a vitrification product of solid waste.
In order to achieve the above purpose, the invention is implemented according to the following technical scheme:
the invention comprises the following steps:
collecting a product sample vitrified by solid waste for pretreatment;
b, scanning the product sample by using a Fourier transform infrared spectrometer to obtain spectrum data, and detecting by using a chromatographic detector to obtain chromatographic data;
c, comparing the spectrum data with the characteristic absorption peak of the standard curve according to the spectrum data, and calculating a reference value;
d, calculating the similarity of the chromatographic data and the spectral data, and adding the similarity values to obtain a reference coefficient;
e, calculating a correction value according to the reference value of the standard substance and the reference coefficient, and determining the vitrification degree of the sample.
Further, the calculation formula of the correction value can be expressed as
C=xs-x (1)
Where C is a correction value, xs is a reference value, and x is a reference coefficient.
Further, the pretreatment method comprises the steps of crushing the product sample, uniformly mixing, dissolving and filtering.
Further, the chromatographic data quantitatively evaluate the content of glass-related components in the waste vitrification product sample by measuring the peak area, peak height or peak number parameters of the characteristic peaks.
Further, the characteristic peaks were quantitatively corrected using standards of known concentration.
Further, the filtration adopts a vacuum filtration mode, the sample solution is filtered by a filter membrane with the diameter of 0.8 mu m, plasma water is used for cleaning the sample solution in the vacuum filtration process, and the filter membrane and the samples on the filter membrane are cleaned, and then the cleaning solution is filtered by the vacuum filter.
In another aspect, an electronic device includes: a processor; and a memory arranged to store computer executable instructions that, when executed, cause the processor to perform any of the methods.
In yet another aspect, a computer-readable storage medium stores one or more programs that, when executed by an electronic device comprising a plurality of application programs, cause the electronic device to perform any of the methods.
The beneficial effects of the invention are as follows:
the invention is based on the curve change of the organic functional group in the vitrification process, thereby accurately reflecting the vitrification degree of the sample; by comparing the standard curves with known different vitrification degrees, complex calculation or physical models are not needed, and the operation is easy; the Fourier transform infrared spectrometer is used, so that a result can be obtained in a short time, and the detection efficiency is greatly improved.
Drawings
FIG. 1 is a flow chart of a method for detecting the degree of vitrification of a vitrification product of solid waste in accordance with the present invention;
FIG. 2 is a hardware schematic of a method for detecting the degree of vitrification of a vitrification product of solid waste in accordance with the present invention.
Detailed Description
The invention will be further described with reference to the accompanying drawings and specific embodiments, wherein the exemplary embodiments and descriptions of the invention are for purposes of illustration, but are not intended to be limiting.
In this example, samples of solid waste vitrification products from different sources, including construction waste, waste plastics, and waste glass, are collected, crushed and ground to remove any impurities or irregularities that may be present, and each sample is individually packaged in a different container for subsequent scanning and detection.
Reagents and materials for assays
Test water: the water meets the I grade water specified in GB/T6682.
Glacial acetic acid (CH 3 COOH): high-grade purity.
Sodium acetate: high-grade purity.
Leaching agent: 18g of sodium acetate is taken, 9.8ml of glacial acetic acid is added, water is added for dilution to 1000ml, and the pH value of the prepared buffer solution is 4.5.
The instrument device comprises a crushing device: the broken vitrified product sample meets the requirement of passing through a 5-mesh screen (4 mm aperture); dissolving leaching bottle: using a heat resistant glass triangular flask with a stopper; pH meter: at 25 ℃, the precision is +/-0.05 pH; experimental balance: the precision is +/-0.01 g; and (3) filtering a membrane: glass fiber filter membrane or microporous filter membrane, pore diameter is 0.6-0.8 μm; a magnetic stirrer; a blast drying box; a dryer.
The experimental procedure was as follows:
1) Sample disruption
The collected vitrified sample is crushed by a crushing device, the particle size of the large-sized particles can be reduced by crushing, cutting or grinding, and the sample particles can pass through a 5-mesh (4 mm aperture) screen.
(2) Mixing the samples uniformly
The sieved samples were mixed well by the quarter method.
(3) Dissolution process
Cleaning a triangular glass bottle, weighing 100.00g of uniformly mixed samples, putting the samples into the triangular glass bottle, putting the samples into an air blast drying box together with a filter membrane under the condition of not adding a plug, setting the temperature to 90 ℃, closing the air blast drying box after 24 hours, rapidly transferring the triangular glass bottle containing the samples and the filter membrane into a dryer for cooling, taking out and weighing after one hour, wherein the mass of the samples after drying is m0, and the total mass of the triangular glass bottle (without the plug), the filter membrane and the samples is m1.
Adding acetic acid buffer solution into the dried triangular glass bottle containing the sample, regulating the pH value to be 4.5-5.5, putting a stirrer, plugging a bottle cover, putting the triangular bottle on a magnetic stirrer, stirring for 6 hours, standing and waiting for filtering after stirring. After filtration, the triangular flask was discarded and placed in an air-blast drying oven at 90 degrees celsius for 24 hours. After 24 hours, the blast drying box is closed, the mixture is quickly transferred to a dryer for cooling, and the mixture is taken out and weighed after one hour, wherein the total mass of the triangular glass bottle (without a plug), the filter membrane and the sample is m2, and the total mass of the glass bottle and the filter membrane needs to be weighed because a small amount of sample is stained or remained on the triangular glass bottle and the filter membrane in the filtering process.
(4) Solution filtration
The sample solution was filtered through a 0.8 μm filter by vacuum filtration. And (3) cleaning the triangular flask with plasma water for three times in the vacuum filtration process of the sample solution, cleaning the filter membrane and the sample on the filter membrane with the plasma water for three times after cleaning, and filtering the washing liquid by a vacuum filter.
B. Scanning the product sample by using a Fourier transform infrared spectrometer to obtain spectrum data, and detecting by using a chromatographic detector to obtain chromatographic data;
infrared spectroscopy (IR) analysis: IR can be used to determine the chemical composition and structure of the vitrified product. By analyzing the IR spectrum, chemical bonds and functional groups in the vitrified product can be determined, thereby evaluating the degree of vitrification thereof.
In this embodiment, each sample is scanned using a fourier transform infrared spectrometer to obtain their spectral data, and each sample is also detected using a chromatographic detector to obtain their chromatographic data.
C. Comparing the spectrum data with the characteristic absorption peak of the standard curve according to the spectrum data, and calculating a reference value;
in this example, the spectral data of each sample is first compared with a known standard curve, such as a hydroxyl (OH) stretching vibration absorption peak in the wavelength range of 3000-3200 cm-1. By contrast, the spectral reference value was calculated to give a 30% ratio of glassy material in the waste sample by comparison to a standard curve.
D. Calculating the similarity of the chromatographic data and the spectral data, adding all similarity values to obtain a reference coefficient, and calculating the similarity of the chromatographic data of the waste sample and the standard chromatographic data to obtain a reference coefficient of 0.8.
In this embodiment, a common similarity calculation method (e.g., euclidean distance method) is used to calculate the similarity between the chromatographic data and the spectral data. Specifically, the chromatographic data and the spectral data are taken as two vectors, and the euclidean distance therebetween is calculated. The smaller this distance, the higher the similarity between the two data. The similarity values between the chromatogram and the spectrum of each sample are added to obtain a reference coefficient.
E. According to the reference value of the standard substance and the reference coefficient, calculating a correction value and then determining the vitrification degree of the sample
Correction value: from the reference value (30%) and the reference coefficient (0.8), a correction value of 24% was calculated.
In this example, the degree of vitrification is determined to be 24% for the waste sample based on the correction value.
An electronic device, comprising: a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to perform the method.
A computer readable storage medium storing one or more programs, which when executed by an electronic device comprising a plurality of application programs, cause the electronic device to perform the method.
Fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring to fig. 2, at the hardware level, the electronic device includes a processor, and optionally an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, network interface, and memory may be interconnected by an internal bus, which may be an ISA (Industry Standard Architecture ) bus, a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus, or EISA (Extended Industry Standard Architecture ) bus, among others. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 2, but not only one bus or type of bus.
And the memory is used for storing programs. In particular, the program may include program code including computer-operating instructions. The memory may include memory and non-volatile storage and provide instructions and data to the processor.
The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form an information security risk management device on a logic level. The processor executes the program stored in the memory and is specifically used for executing any one of the detection methods for the vitrification degree of the vitrification product of the solid waste.
The method for detecting the vitrification degree of the vitrification product of the solid waste disclosed in the embodiment shown in the fig. 1 of the present application can be applied to a processor or implemented by the processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present application may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.
The electronic device may also perform a method for detecting the vitrification degree of the vitrification product of the solid waste in fig. 1, and implement the functions of the embodiment shown in fig. 2, which is not described herein again.
The embodiments also provide a computer readable storage medium storing one or more programs, the one or more programs including instructions, which when executed by an electronic device comprising a plurality of application programs, perform any of the methods of detecting a degree of vitrification of a solid waste vitrification product described above.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
The technical scheme of the invention is not limited to the specific embodiment, and all technical modifications made according to the technical scheme of the invention fall within the protection scope of the invention.
Claims (8)
1. A method for detecting the vitrification degree of a vitrification product of solid waste is characterized by comprising the following steps: the method comprises the following steps:
collecting a product sample vitrified by solid waste for pretreatment;
b, scanning the product sample by using a Fourier transform infrared spectrometer to obtain spectrum data, and detecting by using a chromatographic detector to obtain chromatographic data;
c, comparing the spectrum data with the characteristic absorption peak of the standard curve according to the spectrum data, and calculating a reference value;
d, calculating the similarity of the chromatographic data and the spectral data, and adding the similarity values to obtain a reference coefficient;
e, calculating a correction value according to the reference value of the standard substance and the reference coefficient, and determining the vitrification degree of the sample.
2. The method for detecting the degree of vitrification of a vitrified product of solid wastes according to claim 1, wherein: the calculation formula of the correction value can be expressed as
C=xs-x (1)
Where C is a correction value, xs is a reference value, and x is a reference coefficient.
3. The method for detecting the degree of vitrification of a vitrified product of solid wastes according to claim 1, wherein: the pretreatment method comprises the steps of crushing the product sample, uniformly mixing, dissolving and filtering.
4. The method for detecting the degree of vitrification of a vitrified product of solid wastes according to claim 1, wherein: the chromatographic data quantitatively evaluate the content of glass-related components in the waste vitrification product sample by measuring the peak area, peak height or peak number parameters of the characteristic peaks.
5. The method for detecting the degree of vitrification of a vitrified product of solid wastes according to claim 4, wherein: the characteristic peaks were quantitatively corrected using standards of known concentration.
6. A method for detecting the degree of vitrification of a vitrified product of solid waste as set forth in claim 3, wherein: the filtering adopts a vacuum filtration mode, the sample solution is filtered by a filter membrane with the diameter of 0.8 mu m, plasma water is used for cleaning the sample solution in the vacuum filtration process, and the filter membrane and the sample on the filter membrane are cleaned, and then the cleaning solution is filtered by a vacuum filter.
7. An electronic device, comprising: a processor; and a memory arranged to store computer executable instructions which, when executed, cause the processor to perform the method of any of claims 1 to 6.
8. A computer readable storage medium storing one or more programs, which when executed by an electronic device comprising a plurality of application programs, cause the electronic device to perform the method of any of claims 1-6.
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