CN109975232B - Asphalt and asphalt modification additive detection method - Google Patents
Asphalt and asphalt modification additive detection method Download PDFInfo
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- CN109975232B CN109975232B CN201711456895.XA CN201711456895A CN109975232B CN 109975232 B CN109975232 B CN 109975232B CN 201711456895 A CN201711456895 A CN 201711456895A CN 109975232 B CN109975232 B CN 109975232B
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- 239000010426 asphalt Substances 0.000 title claims abstract description 58
- 239000000654 additive Substances 0.000 title claims abstract description 26
- 230000000996 additive effect Effects 0.000 title claims abstract description 20
- 238000012986 modification Methods 0.000 title claims abstract description 18
- 230000004048 modification Effects 0.000 title claims abstract description 18
- 238000001514 detection method Methods 0.000 title claims abstract description 17
- 238000002329 infrared spectrum Methods 0.000 claims abstract description 29
- 238000000034 method Methods 0.000 claims abstract description 18
- 238000004364 calculation method Methods 0.000 claims description 11
- 230000002452 interceptive effect Effects 0.000 abstract description 6
- 238000012795 verification Methods 0.000 abstract description 6
- 239000000463 material Substances 0.000 description 14
- 238000001228 spectrum Methods 0.000 description 12
- 238000010276 construction Methods 0.000 description 6
- 238000003908 quality control method Methods 0.000 description 5
- 238000011156 evaluation Methods 0.000 description 4
- 239000013078 crystal Substances 0.000 description 3
- 239000000047 product Substances 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- 238000005259 measurement Methods 0.000 description 2
- 150000002894 organic compounds Chemical class 0.000 description 2
- 229920000742 Cotton Polymers 0.000 description 1
- 238000004566 IR spectroscopy Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000006227 byproduct Substances 0.000 description 1
- 239000011248 coating agent Substances 0.000 description 1
- 238000000576 coating method Methods 0.000 description 1
- 239000010779 crude oil Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 125000000524 functional group Chemical group 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 239000003921 oil Substances 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000000275 quality assurance Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000012916 structural analysis Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A30/00—Adapting or protecting infrastructure or their operation
- Y02A30/30—Adapting or protecting infrastructure or their operation in transportation, e.g. on roads, waterways or railways
Landscapes
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a detection method of asphalt and asphalt modification additives, which comprises the following steps: a scanning step; establishing a model library; a recommendation threshold generation step: calculating a recommended threshold value in each sample model library by adopting a first-order interactive verification method; scanning a sample to be detected: carrying out infrared spectrum scanning on an asphalt sample to be detected and/or an asphalt modification additive sample; comparing: selecting a sample model library, calculating a space included angle formed between the infrared spectrum of a sample to be detected and the selected sample model library, and comparing the space included angle with a recommended threshold value in the selected sample model library; judging: and if the space included angle is smaller than the recommended threshold value, determining that the asphalt sample to be detected and/or the asphalt modification additive sample are qualified. The method has the advantages of high detection speed, high result reliability, simplicity in operation and the like.
Description
Technical Field
The invention relates to a detection method, in particular to a detection method for highway engineering asphalt and asphalt modification additives.
Background
Road engineering asphalt and asphalt modified additives are used as petroleum byproducts or petrochemical mixtures, and have the problems of complex chemical components, complicated detection and evaluation procedures, long detection period, difficult new product evaluation and the like, so that the engineering site quality control work of the materials is difficult to develop, and the effectiveness of raw materials and the engineering quality assurance are poor. Taking asphalt as an example, asphalt is a deep processing product of crude oil residual oil, the chemical components are complex, 14 detection items are involved according to the full performance index evaluation of the existing Highway asphalt pavement construction technical Specification, the evaluation period is not less than 5 days, the field detectable items of a construction site laboratory are generally not more than 7 items, and the detection period is at least more than 1 day, so that the quality control requirement of entering a warehouse after passing the vehicle-by-vehicle inspection is difficult to achieve. Therefore, the problem often occurs that the heavy road is shoveled out after the road is paved along with the follow-up period, so that huge waste is caused. In recent years, new materials for highway engineering are layered endlessly, and some materials have no detection specifications, but even if some materials have the detection specifications, the validity of the specifications needs to be further confirmed, and in addition, a construction unit often does not have detection means regulated by the new specifications, so that the quality control capability of a building laboratory on the new materials is basically zero. After the test section of the new materials is paved, the construction units rarely actively use the new materials for ensuring the engineering quality, so that the new materials are very difficult to popularize and apply further.
Infrared spectra are spectra reflecting the interaction of infrared radiation with a substance taken on the abscissa of wavelength or wavenumber and on the ordinate of intensity or other wavelength-dependent property. Infrared spectroscopy is an important means in the structural identification of organic compounds, and plays an important role in the structural analysis of organic compounds, in particular in the identification of functional groups. The infrared spectrum collection of asphalt or asphalt modified additive is similar to fingerprint collection, the infrared spectrum of the material collected in site batch by batch is compared with the infrared spectrum collected by the material with qualified quality confirmed by a third party, if the material is compared, the material can be qualified and can be put in storage, if the material is not qualified, the material is a suspicious product and is not put in storage.
In summary, how to provide a method for detecting highway engineering asphalt and asphalt modification additive based on infrared detection method is a problem to be solved by those skilled in the art.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a detection method for detecting asphalt and asphalt modification additives by utilizing infrared spectrum.
The method for detecting the asphalt and the asphalt modification additive can comprise the following steps: scanning: scanning and collecting infrared spectra of the asphalt sample and/or the asphalt modifying additive sample; and (3) establishing a model library: establishing at least one sample model library and storing infrared spectra of samples meeting the standards into the at least one sample model library; a recommendation threshold generation step: calculating a recommended threshold value in each sample model library by adopting a first-order interactive verification method; scanning a sample to be detected: carrying out infrared spectrum scanning on an asphalt sample to be detected and/or an asphalt modification additive sample; comparing: selecting a sample model library, calculating a space included angle formed between the infrared spectrum of a sample to be detected and the selected sample model library, and comparing the space included angle with a recommended threshold value in the selected sample model library; judging: and if the space included angle is smaller than the recommended threshold value, determining that the asphalt sample to be detected and/or the asphalt modification additive sample are qualified.
Preferably, the first-order interactive verification method is as follows: and sequentially selecting the infrared spectrum of each sample in the sample library, calculating a space included angle formed by the infrared spectrum of the selected sample and the rest samples in the sample library, and selecting the largest space included angle as a recommended threshold.
More preferably, the method for calculating the space angle comprises the following steps: and moving the window with a preset width and step length, calculating the included angle between the vector in the moving window and the space in the window by using a space calculation method, obtaining a series of space included angle values after the window moves to the data end, and calculating the standard deviation of the included angle values to obtain a final included angle value.
Preferably, in the scanning step and the sample to be detected scanning step, the scanning parameters are: infrared wavelength range 650-4000 cm -1 Dividing intoResolution of 4cm -1 The number of scans was 32.
Preferably, the judging step additionally includes: if the space included angle is smaller than the recommended threshold value, the infrared spectrum of the sample to be detected is added into the selected model library.
The beneficial effects of the invention are as follows: the method can be applied to the field quality control and supervision work of quality supervision institutions, engineering construction units and engineering contractors on highway engineering asphalt and various modified additives of asphalt, has the advantages of high detection speed, high result reliability, simplicity in operation and the like, and can be effectively used for the construction quality control work of asphalt pavement.
Drawings
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. For clarity, the same elements in different drawings are shown with the same reference numerals. It is noted that the figures are for illustrative purposes only and are not necessarily drawn to scale.
FIG. 1 is a flow chart of a method for detecting asphalt and asphalt modifying additives according to the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in detail below with reference to the attached drawings.
Referring to fig. 1, the method for detecting asphalt and asphalt modification additive of the present invention comprises the steps of: scanning step S1: an infrared spectrum of the asphalt sample and/or the asphalt modifying additive sample is scanned and collected. Specifically, an HF-03 type asphalt rapid analysis instrument produced by Sipide (Beijing) technology Co., ltd can be used for collecting the infrared spectrum of the qualified sample. Setting parameters to be in a wavelength range of 650-4000 cm -1 Resolution of 4cm -1 The number of scans was 32. The measurement was performed after preheating for 30 minutes after the instrument was turned on. Firstly, wiping the surface of the instrument crystal with a cotton swab, and collecting the background; then uniformly coating an asphalt sample on the surface of the crystal, wherein the sample needs to be covered and clung to the surface of the crystal; sample spectra were collected. Repeating the steps for three times, calculating the standard deviation of the three measurements to be less than 5 per mill, taking the average value of the three spectra as the infrared of the qualified sampleAnd (3) spectrum.
Secondly, a model library building step S2: a sample model library is established and the infrared spectra of samples meeting the standards are stored in the sample model library, wherein the sample model library can be a single library or can be generated into sample model libraries with different parameters and specifications according to requirements. Recommendation threshold generation step S3: a first-order interactive verification method is used for calculating recommended thresholds in each sample model library. The first-order interactive verification method comprises the following steps: and sequentially selecting the infrared spectrum of each sample in the sample library, calculating a space included angle formed by the infrared spectrum of the selected sample and the rest samples in the sample library, and selecting the largest space included angle as a recommended threshold. The calculation method of the space included angle comprises the following steps: the window (namely, a fixed number of points are taken in a spectrum, then the window is moved once, namely, the window is moved) with a preset width and step length, the space calculation method is utilized to calculate the included angle between the vector in the moving window and the space in the window, a series of space included angle values are obtained after the window moves to the tail end of data, and the standard deviation of the included angle values is calculated, so that the final included angle value is obtained.
That is, the first-order interactive verification method calculates the spatial angle between each spectrum in the sample library and the rest of the sample library by circularly selecting the spectrum as a vector. And finally, each spectrum vector in the library has an included angle with the space formed by the rest samples in the library, the largest space included angle is selected as a recommended threshold value, and then the threshold value can be manually modified and then stored. The calculation method of the space included angle is an improved calculation method of the space included angle of the movable window, in the traditional calculation of the space included angle, the movable window is added to perform finer calculation, the window moves with a certain width and a certain step length, the included angle between the vector in the movable window and the space in the window is calculated through the traditional calculation method of the space, a series of space included angle values are obtained after the window moves to the tail end of data, and the standard deviation of the included angle values is calculated, so that the final included angle value is obtained.
Next, the sample to be detected scans step S4: the infrared spectrum scanning is performed on the asphalt sample to be detected and/or the asphalt modifying additive sample, and the scanning method may be the same as the infrared scanning method in step S1. Comparison step S5: and selecting a sample model library, calculating a space included angle formed between the infrared spectrum of the sample to be detected and the selected sample model library, and comparing the space included angle with a recommended threshold value in the selected sample model library. And a judging step S6: and if the space included angle is smaller than the recommended threshold value, determining that the asphalt sample to be detected and/or the asphalt modification additive sample are qualified. The improved calculation method of the space included angle of the moving window is utilized to calculate the threshold value of the collected spectrum and the comparison spectrum library, the threshold value is regarded as a vector, the space included angle of the space formed by the vector and the selected comparison spectrum library is calculated, and then the comparison is carried out between the space included angle and the threshold value stored when the qualified sample library is established, so that whether the collected spectrum is qualified or not is judged. And finally, if the space included angle is smaller than the recommended threshold value, adding the infrared spectrum of the sample to be detected into the selected model library.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. The foregoing description is not intended to be exhaustive or to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain the specific principles of the invention and its practical application to thereby enable others skilled in the art to make and utilize various exemplary embodiments and various alternatives and modifications thereof. It is intended that the scope of the invention be defined by the following claims and their equivalents.
Claims (3)
1. A detection method of asphalt and asphalt modification additive is characterized by comprising the following steps:
scanning: scanning and collecting infrared spectra of the asphalt sample and/or the asphalt modifying additive sample;
and (3) establishing a model library: establishing at least one sample model library and storing infrared spectra of samples meeting the standards into the at least one sample model library;
a recommendation threshold generation step: sequentially selecting infrared spectrums of each sample in the sample library, calculating a space included angle formed by the infrared spectrums of the selected samples and the rest samples in the sample library, and selecting the largest space included angle as a recommended threshold value, thereby calculating the recommended threshold value in each sample model library;
scanning a sample to be detected: carrying out infrared spectrum scanning on an asphalt sample to be detected and/or an asphalt modification additive sample;
comparing: selecting a sample model library, calculating a space included angle formed between the infrared spectrum of a sample to be detected and the selected sample model library, and comparing the space included angle with a recommended threshold value in the selected sample model library;
judging: if the space included angle is smaller than the recommended threshold value, determining that the asphalt sample to be detected and/or the asphalt modification additive sample are qualified;
the calculation method of the space included angle comprises the following steps: and moving the window with a preset width and step length, calculating the included angle between the vector in the moving window and the space in the window by using a space calculation method, obtaining a series of space included angle values after the window moves to the data end, and calculating the standard deviation of the included angle values to obtain a final included angle value.
2. The method for detecting asphalt and asphalt modifying additive according to claim 1, wherein: in the scanning step and the sample to be detected scanning step, the scanning parameters are as follows: infrared wavelength range 650-4000 cm -1 Resolution of 4cm -1 The number of scans was 32.
3. The method for detecting asphalt and asphalt modifying additive according to claim 1, wherein: the judging step additionally includes: if the space included angle is smaller than the recommended threshold value, the infrared spectrum of the sample to be detected is added into the selected model library.
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