A method of determining asphalt quality and a detection assembly

Abstract

The application discloses a kind of asphalt quality determination method and detection assembly, by infrared spectrum detection to standard asphalt and to-be-measured asphalt respectively, from the infrared spectrum diagram collected to extract absorbance series, then get conversion series, finally, through similarity calculation, the consistency determination result that to-be-measured asphalt and standard asphalt quality are identical is obtained.The application provides an asphalt quality determination method, which is convenient to operate, fast in testing speed, high in result accuracy and low in cost.

Description

TECHNICAL FIELD

[0001] The present application relates to Road engineering applications The present application relates to a method for determining the quality of asphalt and a detection assembly. BACKGROUND

[0002] Asphalt is used in some road engineering, such as asphalt pavement of expressway. The consistency of quality of actual incoming asphalt and the asphalt specified when ordering often needs to be quickly identified so as to be timely put into storage. The traditional method is to sample the incoming asphalt, test its penetration, softening point and elongation rate and other indicators, and judge that the indicators are qualified before receiving the goods. This method, on the one hand, takes a long time, usually 1 day, causing the waiting of transport vehicles and the inability to timely unload, which is low in efficiency; on the other hand, cannot effectively distinguish some inferior adulterated asphalt, which causes misjudgment of storage and endangers the engineering quality. In order to ensure the quality of engineering asphalt, it is necessary to quickly and effectively identify the quality of incoming asphalt. SUMMARY

[0003] In view of the above problems, the present application is proposed in order to provide a method for determining the quality of asphalt and a detection assembly which overcome the above problems or at least partially solve the above problems.

[0004] In a first aspect, a method for determining the quality of asphalt is provided, comprising:

[0005] determining a test sample, the test sample being standard asphalt and asphalt to be measured;

[0006] detecting the test sample by infrared spectroscopy and collecting an infrared spectrum of the test sample;

[0007] extracting absorbance at a plurality of wave numbers from the infrared spectrum within a set wave number range and arranging the absorbance in an ascending order of the wave numbers to form a sequence;

[0008] calculating a mean value of differences between terms in the sequence to form a transformed sequence, wherein a first term and a last term in the transformed sequence are zero;

[0009] wherein, when the test sample is determined to be the standard asphalt, the sequence formed is a first sequence, and the transformed sequence formed is a first transformed sequence;

[0010] when the test sample is determined to be the asphalt to be measured, the sequence formed is a second sequence, and the transformed sequence formed is a second transformed sequence;

[0011] calculating the similarity between the first transformed sequence and the second transformed sequence to obtain a consistency determination result of the asphalt to be measured and the standard asphalt.

[0012] Optionally, the detecting the test sample by infrared spectroscopy and collecting the infrared spectrum of the test sample comprises:

[0013] heating the sample to a flowable state;

[0014] applying the sample to a sample-support crystal of a sample holder;

[0015] loading the sample holder into an infrared spectrometer and testing the sample for infrared absorption spectra in a set wave number range using attenuated total reflectance;

[0016] calculating an average spectrum from the infrared absorption spectra of the several samples to obtain an infrared spectrum.

[0017] Optionally, the sample is applied to the sample-support crystal of the sample holder using a sample-applying rod, the sample-applying rod comprising a main shaft and a column head, one end of the column head being connected to an end of the main shaft, the other end of the column head having a recess, the recess being adapted to the sample-support crystal.

[0018] Optionally, the applying of the sample to the sample-support crystal of the sample holder comprises:

[0019] immersing the column head of the sample-applying rod into the sample so that the sample adheres to the column head and the recess;

[0020] pressing the recess of the column head against the sample holder so that the sample is completely applied to the sample-support crystal.

[0021] Optionally, the applying of the sample to the sample-support crystal of the sample holder further comprises:

[0022] applying a ring-shaped paper sheet to the sample holder, the ring-shaped edge of the ring-shaped paper sheet being wrapped around the outside of the sample-support crystal.

[0023] Optionally, the pressing of the recess of the column head against the sample-support crystal so that the sample is completely applied to the sample-support crystal comprises:

[0024] pressing the recess of the column head against the ring-shaped paper sheet of the sample holder so that the sample adhering to the column head is applied to the sample-support crystal;

[0025] as the temperature of the sample decreases, the sample-applying rod is bonded and stands up on the sample holder by the sample solidified by the sample-applying rod, and the pressing is stopped.

[0026] Optionally, the method further comprises, after the infrared spectrum is detected, removing the sample holder from the infrared spectrometer, removing the sample-applying rod, the ring-shaped paper sheet and the sample from the sample holder, and cleaning the sample holder.

[0027] Optionally, the similarity calculation of the first conversion sequence and the second conversion sequence obtains the determination result of the quality consistency of the asphalt to be tested and the standard asphalt, comprising:

[0028] The items in the first conversion sequence and the second conversion sequence are substituted into the cosine similarity formula for similarity calculation, and if the calculation result is above 0.99, it is determined that the asphalt to be tested is consistent in quality with the standard asphalt.

[0029] In a second aspect, an asphalt detection assembly is provided, characterized in that it comprises an infrared spectrometer and a sample preparation rod.

[0030] The infrared spectrometer is provided with an attenuated total reflection accessory, and the sample preparation device of the attenuated total reflection accessory is provided with a sample carrying crystal.

[0031] The sample preparation rod comprises a main rod and a column head, one end of the column head is connected to the end of the main rod, the other end of the column head is provided with a recess, and the recess is adapted to the sample carrying crystal.

[0032] Optionally, it further comprises an annular paper sheet, which is arranged on the sample preparation device, and the annular edge of the annular paper sheet surrounds the outside of the sample carrying crystal.

[0033] The technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0034] The asphalt quality determination method and the detection assembly provided by the embodiments of the present application can extract the absorbance sequence from the collected infrared spectrum, and then obtain the conversion sequence, and finally obtain the determination result of the quality consistency of the asphalt to be tested and the standard asphalt through similarity calculation. On the one hand, the peaks in the infrared spectrum are the manifestation of the characteristics of the material, and the difference between the peaks is relatively large, so the use of the mean of the difference between the peaks in the sequence to obtain the conversion sequence can emphasize the influence of the peaks on the similarity result, thereby sensitively reflecting the similarity degree of the infrared spectrum of the standard asphalt and the asphalt to be tested, and improving the accuracy of the test result. On the other hand, the method of the present application is convenient to operate and fast in testing, and compared with the prior art which needs 1 day to judge the index of the incoming asphalt, the method of the present application can obtain the test result in 2 hours and identify the quality of the incoming asphalt.

[0035] The above description is only a summary of the technical solutions of the present application, in order to more clearly understand the technical means of the present application, the specific embodiments of the present application can be implemented according to the content of the specification, and in order to make the above and other purposes, characteristics and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described. BRIEF DESCRIPTION OF DRAWINGS

[0036] Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments with reference made to the accompanying drawings. The drawings are for purposes of illustration only and are not intended to be limiting in

[0037] Figure 1 Flow chart of the method for determining the quality of asphalt in the embodiments of the present application;

[0038] Figure 2 Flow chart of the method for determining the quality of asphalt in the embodiments of the present application;

[0039] Figure 3 Schematic diagram of the asphalt detection assembly in the embodiments of the present application Figure 1 ;

[0040] Figure 4 Schematic diagram of the asphalt detection assembly in the embodiments of the present application Figure 2 ;

[0041] Figure 5 Average spectrum of asphalt sample A and asphalt sample B in the embodiments of the present application;

[0042] Figure 6 Coincidence spectrum of the average spectrum of asphalt sample A and asphalt sample B in the embodiments of the present application. DETAILED DESCRIPTION

[0043] Exemplary embodiments of the present disclosure will be described more fully hereinafter with reference to the accompanying drawings.

[0044] Various structural diagrams according to embodiments of the present disclosure are shown in the accompanying drawings. These diagrams are not drawn to scale, in which certain details are exaggerated for clarity and others are omitted. The shapes and relative sizes of the various regions, layers, and elements illustrated in the figures are exemplary only and can vary depending on the manufacturing techniques used to produce the structures, and the intended design of the structures. The skilled person can design regions / layers with different shapes, sizes, relative positions according to the actual needs.

[0045] In the context of the present disclosure, when a layer / element is referred to as being "on" another layer / element, it can be directly on the other layer / element or intervening layers / elements can be present therebetween. Also, if a layer / element is on another layer / element in one orientation, it can be under the other layer / element in an inverted orientation. In the context of the present disclosure, similar or identical parts can be denoted by the same or similar reference numerals.

[0046] In order to better understand the above technical solutions, the above technical solutions will be described in detail below in combination with specific embodiments. It should be understood that the embodiments of the present disclosure and the specific features in the embodiments are detailed descriptions of the technical solutions of the present application, and are not limitations of the technical solutions of the present application. In the case of no conflict, the technical features in the embodiments of the present application and the embodiments can be combined with each other.

[0047] The present application provides a method for determining the quality of asphalt, please refer to Figure 1 , Figure 1 The present application provides a method for determining the quality of asphalt, please refer to

[0048] S1, determining a sample, the sample is a standard asphalt and a to-be-tested asphalt;

[0049] S2, the sample is detected by infrared spectrum, and the infrared spectrum of the sample is collected;

[0050] S3, in a set wave number range, the absorbance at several wave numbers is extracted from the infrared spectrum and arranged in ascending order according to the wave number, forming a sequence;

[0051] S4, calculating the average of the difference between the terms in the sequence, forming a transformed sequence, in which the first term and the last term are zero;

[0052] S5, determining that the sample is the standard asphalt, forming the sequence as the first sequence, and forming the transformed sequence as the first transformed sequence;

[0053] S6, determining that the sample is the to-be-tested asphalt, forming the sequence as the second sequence, and forming the transformed sequence as the second transformed sequence;

[0054] S7, similarity calculation is performed on the first transformed sequence and the second transformed sequence, and the consistency determination result of the to-be-tested asphalt and the standard asphalt is obtained.

[0055] The principle of infrared spectrum detection is that a beam of red light is hit on a substance, the characteristic atom group constituting the substance absorbs light of specific frequency, and the part of the reflected or transmitted light is received and analyzed to obtain a distribution graph of absorbance changing with wave number, that is, the infrared spectrum graph of the substance. The infrared spectrum graph of the substance reflects its microstructure and structure and also shows the quality of the substance to some extent. The method of the application takes standard asphalt as the asphalt specified when ordering and takes the asphalt to be tested as the asphalt actually delivered, respectively detects the standard asphalt and the asphalt to be tested through infrared spectrum detection, extracts the absorbance series at a plurality of wave numbers from the collected infrared spectrum graph, calculates the average of the interval difference of the absorbance in the series to obtain a transformed series, calculates the similarity of the second transformed series obtained by testing the standard asphalt and the first transformed series obtained by testing the standard asphalt, obtains the consistency determination result of the quality of the asphalt to be tested and the standard asphalt, and obtains the similarity degree of the quality of the asphalt actually delivered and the quality of the asphalt specified when ordering, so as to effectively determine whether the quality is qualified. Specifically, the average of the interval difference of the absorbance in the series refers to half of the difference between the previous term and the next term in the series. The significance of this transformation calculation is that the interval difference of the peak part in the infrared spectrum graph is relatively large, and this transformation can increase the influence of the peak part on the similarity result, and the peak part is the manifestation of the characteristics of the substance, so that the judgment is more accurate.

[0056] In an optional embodiment, S2 is performed, infrared spectrum detection is performed on the sample, and the infrared spectrum graph of the sample is collected, as shown in Figure 2 Figure 2 The infrared spectrum detection flowchart in the embodiments of the application includes:

[0057] S201, the sample is heated to be in a flow state;

[0058] S202, the sample is covered on the sample-carrying crystal of a sample preparation device;

[0059] S203, the sample preparation device is installed in an infrared spectrometer, and the infrared absorption spectrum graph of the sample in a set wave number range is tested by using an attenuated total reflection method;

[0060] S204, the average graph is calculated by using a plurality of infrared absorption spectrum graphs of the sample to obtain the infrared spectrum graph.

[0061] ​For example, when a representative asphalt sample (asphalt specified when ordering, standard asphalt) is used as a test specimen to execute steps S201 to S204, the representative asphalt sample is heated in an oven until it is fluidized, stirred evenly, and about 500 ml of it is placed in a glass beaker for testing. During the test, an oven is used to keep the sample in the glass beaker in a fluidized state. The same sample is tested 5 times, and each time about 100 ml of the sample is poured out of the beaker. The next test is sampled from the remaining sample. This approach ensures that the samples used in the 5 tests come from different liquid level heights, making them more representative. Similarly, when the actual asphalt (asphalt to be tested) is used as a test specimen to execute steps S201 to S204, the same operations are used, which will not be repeated here.

[0062] Specifically, if Figure 3 、 4 As shown, a sample preparation rod 1 is used to cover the sample 9 on the sample-carrying crystal 8 of the sample preparation device 2. The sample preparation rod 1 includes a main rod 5 and a column head 6. One end of the column head 6 is connected to the end of the main rod 5, and the other end of the column head 6 has a pit 10, which is adapted to the sample-carrying crystal 8. In an optional embodiment, step S202 is performed to cover the sample 9 on the sample-carrying crystal 8 of the sample preparation device 2, including: immersing the column head 6 of the sample preparation rod 1 in the sample 9 so that the sample 9 adheres to the column head 6 and the pit 10. The pit 10 of the column head 6 is pressed against the sample preparation device 2 so that the sample 9 is completely covered on the sample-carrying crystal 8. In a further optional embodiment, step S202 is performed to cover the sample 9 on the sample-carrying crystal 8 of the sample preparation device 2, and further includes: covering the sample preparation device 2 with a ring-shaped paper sheet, the ring edge of the ring-shaped paper sheet surrounding the outside of the sample-carrying crystal 8. That is, the depression 10 of the column head 6 is pressed against the annular paper sheet of the sample preparation device 2, so that the sample 9 adhered to the column head 6 covers the sample-carrying crystal 8. As the temperature of the sample 9 decreases, the sample preparation rod 1 is adhered to the solidified sample 9 and stands upright on the sample preparation device 2, and the pressing is stopped.

[0063] The sample loading crystal 8 can be a zinc selenide crystal, which is not limited herein. For example, when performing step S202, before each sample preparation, a ring-shaped paper sheet 7 is used to cover the surrounding part of the zinc selenide crystal on the sample preparation device 2, and the zinc selenide crystal is exposed in the center of the ring-shaped paper sheet 7. The outer diameter of the ring-shaped paper sheet 7 is greater than the diameter of the cylindrical column head by 2 to 3 mm, and the inner diameter is greater than the diameter of the zinc selenide crystal by 1 to 2 mm. The sample preparation rod 1 is composed of a stainless steel cylindrical thin rod as the main rod 5, and a cylindrical column head 6 with a diameter slightly larger than the thin rod fixed at the end of the thin rod as the rod head. The outer end surface of the column head 6 is provided with a hemispherical pit 10 in the center, and the diameter of the pit 10 is slightly larger than the diameter of the zinc selenide crystal fixed at the center of the sample preparation device 2. The thin rod of the sample preparation rod 1 is pinched by hand, and about half of the height of the column head 6 is immersed in the asphalt (i.e. the sample 9) sample in the beaker, and then the sample preparation rod 1 is twisted several times and then lifted away from the asphalt liquid surface. When the asphalt sample adhered to the column head 6 no longer drips, the sample preparation rod 1 is immediately pressed vertically and gently on the sample preparation device 2 at the center, so that the asphalt sample adhered to the column head 6 completely and tightly covers (completely covers without bubbles) the zinc selenide crystal. As the temperature of the asphalt sample decreases, the sample preparation rod 1 is self-standing on the sample preparation device 2 due to the asphalt bonding, as shown in FIG. 2B, and the pressing is stopped. Figure 3 When performing step S203, the infrared absorption spectrum of the asphalt sample is tested.

[0064] Specifically, after the infrared spectrum detection is completed, the sample preparation device 2 is removed from the infrared spectrometer, the sample preparation rod 1, the ring-shaped paper sheet 7 and the sample 9 are removed from the sample preparation device 2, and the sample preparation device 2 is cleaned. The specific operation is that the sample preparation device 2 is removed from the instrument, one hand holds the sample preparation device 2 and the other hand pinches the sample preparation rod 1, and the sample preparation rod 1 is pulled out of the sample preparation device 2. The asphalt and the paper sheet placed on the cylindrical column head 6 of the sample preparation rod 1, the sample preparation device 2 and the zinc selenide crystal are cleaned. When cleaning the residual asphalt, WD-40 type anti-rust oil spray is used, which is not limited herein. Based on the above example, when it is determined that the sample is standard asphalt, step S5 is performed to form a first sequence and a first conversion sequence. When it is determined that the sample is the asphalt to be tested, step S6 is performed to form a second sequence and a second conversion sequence. The calculation process of the conversion is as follows:

[0065] When performing step S204, the average spectrum of the five infrared absorption spectra of the specified asphalt (standard asphalt) is calculated. Let the average spectrum of the specified asphalt be X, then X can be represented as a first sequence {X1, X2, X3, …, Xn}, where X1 is the absorbance test value at the wave number position indicated by the term number i, that is, the i-th term of the first sequence, n is the maximum term number, and Xn is the last term of the first sequence. n-1 n i n

[0066] ​​​​The same operation is used to calculate the average spectrum of the five infrared spectra of the asphalt to be tested. Let the average spectrum of the asphalt to be tested be Y, then Y can be expressed as the second sequence {Y1, Y2, Y3, ..., Y n-1 , Y n}, where Y i is the absorbance test value at the wave number position indicated by the item number i, that is, the i-th item of the second sequence, n is the maximum number of items, Y n The last item of the second sequence.

[0067] Execute step S4 to convert the items in the first sequence X into items in the sequence X' according to the following rules to obtain a first converted sequence X'.

[0068] X'1=0

[0069] X'2=(X3-X1) / 2

[0070] X'3=(X4-X2) / 2

[0071] …

[0072] X' n-1 =(X n -X n-2 ) / 2

[0073] X' n =0

[0074] According to the same rule, the items in the second sequence Y are converted into items in the sequence Y' to obtain the second converted sequence Y'.

[0075] Then, X'={X'1,X'2,X'3,…,X' n-1 , X' n},

[0076] Y'={Y'1, Y'2, Y'3,...,Y' n-1 , Y' n}.

[0077] In an optional embodiment, step S7 is performed to calculate the similarity between the first and second transformed sequences to obtain a result of determining the consistency of the quality of the asphalt to be tested and the standard asphalt, including: substituting the terms in the first and second transformed sequences into a cosine similarity formula to perform a similarity calculation; if the calculated result is greater than 0.99, the asphalt to be tested is determined to be of consistent quality with the standard asphalt. Based on the above example, the similarity r (accurate to 0.0001) between the infrared spectra of the specified asphalt and the asphalt to be tested is calculated as follows:

[0078]

[0079] When the similarity r of the infrared spectrum of the specified asphalt and the asphalt to be tested is greater than or equal to 0.99, it is determined that the qualities of the two are consistent.

[0080] Based on the same inventive concept, the embodiment also provides an asphalt detection assembly, as shown in Figure 3 、 4 which comprises an infrared spectrometer 4 and a sample preparation rod 1.

[0081] The infrared spectrometer 4 is provided with an attenuated total reflection accessory 3, and the attenuated total reflection accessory 3 is provided with a sample loading crystal 8 on a sample preparation rod 2. The sample preparation rod 1 comprises a main rod 5 and a column head 6, one end of the column head 6 is connected to the end of the main rod 5, and the other end of the column head 6 is provided with a recess 10 which is adapted to the sample loading crystal 8. By using the infrared spectrometer provided with the attenuated total reflection accessory, the infrared spectrum of the asphalt 9 can be conveniently measured on the circular zinc selenide sample loading crystal in the center of the sample preparation rod, and then the quality of the asphalt 9 can be identified.

[0082] Specifically, it further comprises an annular paper sheet 7 which is arranged on the sample preparation rod 2, and the annular edge of the annular paper sheet 7 surrounds the outside of the sample loading crystal 8.

[0083] The embodiment of the present application will be described in detail below with a complete actual implementation process.

[0084] During the construction of the pavement of a certain expressway, a batch of asphalt is ordered, and an asphalt sample A is taken as the acceptance standard when the contract is signed. When the asphalt sample B is taken, the quality needs to be detected, and only after the quality is qualified, the asphalt sample B can be put into the warehouse. The present application uses the asphalt quality consistency identification method based on the attenuated total reflection infrared spectrum to test the similarity of the infrared spectra of the two samples, and to determine the consistency of the qualities of the two samples.

[0085] The infrared spectrometer used is of the type Nicolet iS20, the applicable wave number range is 4000cm -1 to 400cm -1 , the resolution is not less than 0.5cm -1 , the horizontal attenuated total reflection accessory is provided, the zinc selenide crystal sample preparation rod is provided, and the crystal diameter is 4mm. When the attenuated total reflection method is used for testing, the applicable wave number range is 4000cm -1 to 650cm -1 .

[0086] The sample preparation rod is made of stainless steel, with a total length of 100 mm, a thin rod (main rod) with a diameter of 3 mm, a cylindrical head (stem) with a height of 10 mm and a diameter of 10 mm, and an end pit with a diameter of 7 mm. Compared with wood and plastic materials, the stainless steel material of the sample preparation rod is more stable in nature, and its chemical composition is less likely to separate from the body and mix into the asphalt when the sample is immersed in high-temperature asphalt, thereby reducing the pollution of the sample caused by the sample preparation rod. The setting of the thin rod and the cylindrical head of the sample preparation rod not only ensures its lightness and easy operation, but also increases the coverage area of the asphalt sample taken by the sample preparation rod, ensuring that the asphalt sample can completely cover the zinc selenide crystal and avoiding the reduction of the test quality of the infrared spectrum caused by the incomplete coverage of the sample on the crystal.

[0087] The annular paper sheet has an outer diameter of 12 mm, an inner diameter of 6 mm, and a thickness of 0.1 mm. The asphalt has strong adhesion and is not easy to clean. Before each sample preparation, covering the zinc selenide crystal around the sample preparation device with an annular paper sheet can make the excess asphalt sample adhere to the paper sheet instead of the sample preparation device. After the test, most of the asphalt can be cleaned by removing the paper sheet, thereby greatly reducing the difficulty of cleaning the asphalt on the sample preparation device after the test and speeding up the test process.

[0088] The WD-40 type rust-proof oil spray is selected. Compared with other organic solvents, the WD-40 type rust-proof oil spray can dissolve asphalt faster, has a spray head, is more convenient to use, and is non-toxic and harmless to the body.

[0089] About 4 kg of asphalt sample A is loaded into an iron container and placed in an oven. The oven temperature is set to 120°C, and the asphalt is heated to a flowing state. After the asphalt is fully stirred, 500 ml of the asphalt is taken out and poured into a glass beaker, and the glass beaker is placed in the oven to maintain the flowing state.

[0090] At the same time, the attenuated total reflection accessory and the sample preparation device with the zinc selenide crystal are installed on the infrared spectrometer, and the resolution is set to 4 cm -1 , and the scanning number is set to 16. This unified resolution and scanning number is conducive to the consistency of the test results under the premise of meeting the spectrum acquisition quality. In addition, compared with smaller resolution and more scanning numbers, this setting saves test time. The annular paper sheet is laid on the center of the upper surface of the sample preparation device, pressed flat, and the zinc selenide crystal is exposed in the center hole of the paper sheet.

[0091] Then, immerse the cylindrical head of the sample rod about halfway below the asphalt liquid level in the beaker and twist the rod three times. Lift the sample rod from the asphalt liquid level. When the asphalt adhering to it stops dripping, immediately press the sample rod vertically and gently against the center of the sample preparation device so that the asphalt sample adhering to the cylindrical head completely and tightly covers the zinc selenide crystals. As the temperature of the asphalt sample decreases, the sample rod is bonded to the asphalt and can stand upright on the sample preparation device. Then stop pressing. For specific scenarios, see Figure 3 and Figure 4 . Test once, obtain an infrared spectrum of an asphalt sample, and save the spectrum file.

[0092] Next, remove the sample preparation device from the instrument. Holding the sample preparation device in one hand and the sample preparation rod in the other, pull the rod out of the sample preparation device. Clean any remaining asphalt and paper rings from the cylindrical tip of the rod, the sample preparation device, and the zinc selenide crystal. Reinstall the sample preparation device in the center of the attenuated total reflectance accessory.

[0093] When cleaning the asphalt attached to the cylindrical head and sample preparation device, spray WD-40 anti-rust oil spray on the asphalt, wait for a while, wipe off the dissolved asphalt with soft paper, and repeat the spraying and wiping 3 to 5 times to clean it.

[0094] Asphalt is highly adhesive and difficult to clean. Without the use of a paper ring, asphalt would adhere to a much larger area on the sample preparation device, making cleaning time-consuming. Using the paper ring in conjunction with an anti-rust oil spray can save 3 to 5 minutes of cleaning time per spectrum test compared to using only kerosene without the paper ring. Testing 20 spectra can be shortened by approximately 1.5 hours, significantly improving work efficiency.

[0095] After one test is completed, pour out 100 ml of the asphalt sample in the beaker and put it back into the oven. Repeat the above test steps and continue to dip the remaining sample in the beaker for the next test. A total of 5 tests are conducted.

[0096] Open the five measured infrared spectra, calculate their average spectrum, and save the average spectrum file. This spectrum is the standard asphalt spectrum and can also be used for subsequent inspections of incoming goods, eliminating the need to test the standard asphalt spectrum for each incoming goods.

[0097] Following the same steps, measure 5 infrared spectra of asphalt sample B, calculate the average spectrum, and save the average spectrum file. Figure 5 、 6 As shown, Figure 5 The average spectrum of asphalt sample A and asphalt sample B in the embodiment of the present invention; Figure 6 This is the overlapping spectrum of the average spectrum of asphalt sample A and asphalt sample B in the embodiment of the present invention.

[0098] The spectrum data was processed using the instrument's own software, and the data point interval was selected to be 4 cm. -1 , the wave number range is selected as 4000cm -1 Up to 650cm -1 , export the data files of the average spectrum of asphalt sample A and the average spectrum of asphalt sample B and save them in Excel file format. i represents the absorbance of asphalt sample A, Y i Represents the absorbance of asphalt sample B. Input the absorbance values ​​in the data file into Table 1 and calculate the similarity r of the two spectra, as shown below. Table 1 is the infrared spectrum similarity calculation table.

[0099]

[0100]

[0101] Table 1 Infrared spectrum similarity calculation table

[0102] The similarity calculation result of the infrared spectra (average spectra) in Table 1 is r=0.9932>0.99, so it is determined that the quality of asphalt sample A and asphalt sample B is consistent. Figure 5 、 6 It can also be observed that the quality consistency of asphalt sample A and asphalt sample B is very high, and the batch of asphalt represented by asphalt sample B can be put into storage.

[0103] The established infrared spectrum similarity algorithm transforms the two original spectrum series by averaging the differences between every other term, then multiplies the corresponding terms and sums the products. Because the differences between every other term in the spectrum are relatively large, this approach exacerbates the influence of peaks on the similarity result. Peaks, however, are precisely where the material's characteristics are revealed, enhancing the accuracy of the judgment. The unified approach to sample preparation, testing procedures, and similarity algorithms ensures the comparability and validity of the test results. Such a test can be completed in just two hours, significantly reducing the 24-hour time required by traditional methods. In practical applications, this method, combined with traditional methods, primarily infrared spectroscopy and occasionally supplemented with relevant physical property testing, provides better control over the quality of incoming asphalt. Using this method, seven or eight truckloads of asphalt were returned at a construction site due to low similarity between their infrared spectra and the benchmark. Later verification using physical property testing confirmed substandard product, demonstrating significant results.

[0104] The technical scheme provided in the embodiment of the present application has at least the following technical effects or advantages: the asphalt quality determination method and the detection assembly provided by the embodiment of the present application determine the consistency of the quality of the standard asphalt and the to-be-tested asphalt by respectively performing infrared spectrum detection on the standard asphalt and the to-be-tested asphalt, extracting the absorbance series from the collected infrared spectrum graph, obtaining the conversion series, and finally obtaining the consistency determination result of the quality of the to-be-tested asphalt and the standard asphalt. On the one hand, the peak part in the infrared spectrum graph is the manifestation of the characteristics of the material, and the difference between the terms of the peak part is relatively large, so the conversion series obtained by using the mean value of the difference between the terms in the series can emphasize the influence of the peak part on the similarity result, thereby sensitively reflecting the similarity degree of the infrared spectrum graphs of the standard asphalt and the to-be-tested asphalt, and improving the accuracy of the test result. On the other hand, the method provided in the present application is convenient to operate and fast in testing, and compared with the prior art which needs one day to judge the index of the incoming asphalt, the method provided in the present application can obtain the test result and identify the quality of the incoming asphalt in two hours.

[0105] In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application can be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

[0106] Similarly, it is to be understood that the embodiments of the present application can be used in the exact forms illustrated and described and that they can also be used in other forms, structures, and means. Similarly, it is to be understood that the order of steps or processes illustrated and / or described in any process, flowchart, flow diagram, etc., is not essential for the practice of the application, and that all combinations of steps or processes represented, by the general and detailed descriptions herein are contemplated and described herein as possible embodiments of the application. Also, it is to be understood that such steps or processes can be interchanged with one another without departing from the scope of the application. Accordingly, the following claims are not intended to be limited to the exact form or process as described herein.

[0107] It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that those skilled in the art will be able to design many alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word 'comprising' does not exclude the presence of elements or steps not listed in a claim. The word 'a' or 'an' preceding an element does not exclude the presence of a plurality of such elements. The application can be implemented by means of both hardware and software, and any combination thereof. In a unitary claim, several devices or means can be listed, comprising means which can be implemented by one and the same hardware item. The use of the word 'a' or 'an' preceding an element does not exclude the presence of a plurality of such elements. The word 'first','second', 'third' etc. can merely be used for distinguishing between similar elements, and do not imply any order or priority.

Claims

1. A method for determining asphalt quality, characterized in that: include: Determining samples, wherein the samples are standard asphalt and asphalt to be tested; Performing infrared spectrum detection on the sample and collecting an infrared spectrum of the sample; Within a set wavenumber range, extracting absorbances at a number of wavenumbers from the infrared spectrum and arranging them in ascending order of the wavenumbers to form a series; Calculating half of the difference between every other term in the sequence to form a transformed sequence, wherein the first and last terms in the transformed sequence are zero; Wherein, the sample is determined to be the standard asphalt, the formed number sequence is the first number sequence, and the formed conversion number sequence is the first conversion number sequence; Determining that the sample is the asphalt to be tested, forming the number sequence as the second number sequence, and forming the transformed number sequence as the second transformed number sequence; Calculating the similarity between the first transformation sequence and the second transformation sequence to obtain a result of determining the consistency of the quality of the asphalt to be tested and the standard asphalt; The similarity calculation of the first transformation sequence and the second transformation sequence to obtain a result of determining the consistency of the quality of the asphalt to be tested and the standard asphalt includes: Substitute the items in the first conversion sequence and the second conversion sequence into the cosine similarity formula to calculate the similarity. If the calculation result is above 0.99, it is determined that the quality of the asphalt to be tested is consistent with that of the standard asphalt.

2. The method according to claim 1, wherein The step of performing infrared spectrum detection on the sample and collecting the infrared spectrum of the sample comprises: heating the sample to a fluid state; Covering the sample on a sample-carrying crystal in a sample preparation device; The sample preparation device is installed in an infrared spectrometer, and the infrared absorption spectrum of the sample within a set wave number range is measured by attenuated total reflection method; The infrared absorption spectra of several samples are used to calculate an average spectrum to obtain an infrared spectrum.

3. The method according to claim 2, wherein The sample is covered on the sample-carrying crystal of the sample preparation device using a sample preparation rod; the sample preparation rod includes a main rod and a column head, one end of the column head is connected to the end of the main rod, and the other end of the column head has a pit, which is adapted to the sample-carrying crystal.

4. The method according to claim 3, wherein The step of covering the sample on a sample-carrying crystal of a sample preparation device comprises: Dipping the column head of the sample preparation rod into the sample so that the sample adheres to the column head and the pit; The concave portion of the column head is pressed onto the sample preparation device so that the sample is completely covered on the sample-carrying crystal.

5. The method according to claim 4, wherein The step of covering the sample on the sample-carrying crystal of the sample preparation device further comprises: The annular paper sheet is covered on the sample preparation device, and the annular edge of the annular paper sheet surrounds the outside of the sample-carrying crystal.

6. The method according to claim 5, wherein The step of pressing the concave portion of the column head onto the sample-carrying crystal so that the sample completely covers the sample-carrying crystal comprises: Pressing the concave portion of the column head onto the annular paper sheet of the sample preparation device so that the sample adhered to the column head covers the sample-carrying crystal; As the temperature of the sample decreases, the sample preparation rod is bonded by the solidified sample and stands upright on the sample preparation device, and the pressing stops.

7. The method according to claim 5, wherein Also includes: After completing the infrared spectrum detection, the sample preparation device is taken out from the infrared spectrometer, the sample preparation rod, the annular paper sheet and the sample are removed from the sample preparation device, and the sample preparation device is cleaned.

Images