A method, device and storage medium for rapid detection and monitoring of asphalt quality

Abstract

A method, device and storage medium for rapid detection and monitoring of asphalt quality, the method comprising the steps of: creating a standard infrared spectrum database of standard asphalt samples; obtaining a first detection infrared spectrum of the detection asphalt sample to be detected; obtaining a first detection result of the detection asphalt sample according to the standard infrared spectrum database and the first detection infrared spectrum; dividing the detection asphalt sample and obtaining detection asphalt sub-samples; obtaining a second detection infrared spectrum of the detection asphalt sub-sample; obtaining a second detection result of the detection asphalt sub-sample according to the standard infrared spectrum database and the second detection infrared spectrum; judging whether the gap between the first detection result and the second detection result is within a preset gap range; if so, outputting a qualified detection quality result; if not, outputting a failed detection quality result. The present application has high detection efficiency and accurate monitoring results.

Description

Technical Field

[0001] The present invention belongs to the technical field of asphalt quality detection, and in particular relates to a method, a device and a storage medium for rapid detection and monitoring of asphalt quality. Background Art

[0002] Asphalt is an important component of highway pavement materials. Its quality directly affects the service life of the pavement, operating costs, and driver and passenger comfort. Therefore, rapid detection and monitoring of asphalt quality during road construction and operation is an important means to ensure the quality of asphalt pavement.

[0003] Traditional asphalt testing and monitoring methods are not only time-consuming and labor-intensive, but are also easily affected by additives such as modifiers and stabilizers, and the test results are easily distorted. Due to the complexity of the chemical properties of asphalt, asphalt specifications have developed physical property tests, using tests such as needle penetration softening point and ductility performance tests. These physical property tests are carried out at standard test temperatures, and the test results are used to determine whether the material meets the specification standards.

[0004] Using three indicators to evaluate asphalt quality is a traditional method for judging asphalt performance, and it is still the main method for highway industry to test asphalt. However, traditional testing methods have many limitations and cannot fully identify and reflect the performance of asphalt. Therefore, it is very necessary to study the use of infrared spectroscopy to quickly judge the asphalt quality detection and monitoring system, so as to improve the existing asphalt quality evaluation system. Summary of the invention

[0005] In view of the above problems, the present invention provides a method, device and storage medium for rapid detection and monitoring of asphalt quality, which overcome the above problems or at least partially solve the above problems.

[0006] In order to solve the above technical problems, the present invention provides a method for rapid detection and monitoring of asphalt quality, the method comprising the steps of:

[0007] Create a standard infrared spectrum database of standard asphalt samples;

[0008] Obtaining a first detection infrared spectrum of the asphalt sample to be detected;

[0009] Acquire a first test result of the tested asphalt sample according to the standard infrared spectrum database and the first tested infrared spectrum;

[0010] Dividing the test asphalt sample to obtain test asphalt sub-samples;

[0011] Obtaining a second detection infrared spectrum of the detected asphalt sample;

[0012] Acquire a second test result of the tested asphalt sample according to the standard infrared spectrum database and the second tested infrared spectrum;

[0013] Determining whether the difference between the first detection result and the second detection result is within a preset difference range;

[0014] If yes, output the qualified test quality result;

[0015] If not, output the test quality unqualified result.

[0016] Preferably, the step of creating a standard infrared spectrum database of standard asphalt samples comprises the following steps:

[0017] Create an empty database;

[0018] Obtain several standard asphalt samples;

[0019] Obtaining first label information of each of the standard asphalt samples;

[0020] Obtaining a standard infrared spectrum of each of the standard asphalt samples;

[0021] Creating a first mapping between each of the first tag information and the corresponding standard infrared spectrum;

[0022] All of the first mappings are stored in the database.

[0023] Preferably, the step of creating a standard infrared spectrum database of standard asphalt samples further comprises the following steps:

[0024] Obtaining second label information of each of the standard asphalt samples;

[0025] Creating a second mapping between each of the second tag information and the corresponding standard infrared spectrum;

[0026] All the second mappings are stored in the database.

[0027] Preferably, the step of obtaining the second label information of each standard asphalt sample comprises the following steps:

[0028] Acquire the first label information and the label information set of the standard asphalt sample; wherein the first label information and the label information set constitute all the label information of the standard asphalt sample;

[0029] arbitrarily selecting a third tag information in the tag information set;

[0030] Determining whether a gap between the first tag information and the third tag information is outside a preset gap range;

[0031] If so, use the third label information as the second label information;

[0032] If not, return to the step of arbitrarily selecting a third tag information in the tag information set.

[0033] Preferably, the step of obtaining the first detection result of the detected asphalt sample according to the standard infrared spectrum database and the first detected infrared spectrum comprises the following steps:

[0034] Retrieving all standard infrared spectra in the standard infrared spectrum database;

[0035] Calculating a difference value obtained by comparing the first detection infrared spectrum with all the standard infrared spectra;

[0036] Arrange all said gap values ​​in ascending order;

[0037] The label information of the standard asphalt sample to which the standard infrared spectrum corresponding to the first gap value belongs is selected as the first detection result.

[0038] Preferably, dividing the test asphalt sample and obtaining the test asphalt sub-samples comprises the steps of:

[0039] Obtaining the test asphalt sample;

[0040] The asphalt sample to be tested is placed naturally on a dividing table;

[0041] Finding a first dividing line on the surface of the detected asphalt sample;

[0042] The test asphalt sample is divided into a plurality of first test asphalt sub-samples according to the first dividing line.

[0043] Preferably, the step of dividing the test asphalt sample and obtaining the test asphalt sub-samples further comprises the following steps:

[0044] Obtain any one of the first test asphalt sub-samples;

[0045] The first test asphalt sub-sample is placed naturally on the dividing table;

[0046] Finding a second dividing line that cuts the first dividing line on the surface of the first detected asphalt sub-sample;

[0047] The first asphalt sub-sample to be tested is divided into a plurality of second asphalt sub-samples to be tested according to the second dividing line.

[0048] The present application also provides a device for rapid detection and monitoring of asphalt quality, the device comprising:

[0049] A standard infrared spectrum database creation module is used to create a standard infrared spectrum database of standard asphalt samples;

[0050] A first detection infrared spectrum acquisition module, used to acquire a first detection infrared spectrum of the asphalt sample to be detected;

[0051] A first test result acquisition module, used for acquiring a first test result of the asphalt sample according to the standard infrared spectrum database and the first test infrared spectrum;

[0052] A test asphalt sub-sample division module, used to divide the test asphalt sample and obtain the test asphalt sub-samples;

[0053] A second detection infrared spectrum acquisition module, used to acquire a second detection infrared spectrum of the detected asphalt sample;

[0054] A second test result acquisition module, used for acquiring a second test result of the tested asphalt sample according to the standard infrared spectrum database and the second test infrared spectrum;

[0055] A judging module, used to judge whether the difference between the first detection result and the second detection result is within a preset difference range;

[0056] The detection quality result output module is used to perform a preset operation according to the judgment result of the judgment module, wherein when the result of the judgment module is yes, the detection quality result output module outputs a qualified detection quality result; when the result of the judgment module is no, the detection quality result output module outputs an unqualified detection quality result.

[0057] The present application also provides an electronic device, the electronic device comprising:

[0058] at least one processor; and,

[0059] a memory communicatively connected to the at least one processor; wherein,

[0060] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any of the aforementioned asphalt quality rapid detection and monitoring methods.

[0061] The present application also provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute any of the aforementioned asphalt quality rapid detection and monitoring methods.

[0062] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages: the present application provides a method, device and storage medium for rapid detection and monitoring of asphalt quality, which have high detection efficiency, accurate monitoring results, high degree of intelligence, and can greatly improve detection accuracy and monitor asphalt quality at all times. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0064] Figure 1 It is a schematic diagram of a process of a rapid asphalt quality detection and monitoring method provided by an embodiment of the present invention;

[0065] Figure 2 It is a structural schematic diagram of a device for rapid detection and monitoring of asphalt quality provided by the present invention;

[0066] Figure 3 It is a structural schematic diagram of an electronic device provided by the present invention;

[0067] Figure 4 It is a structural schematic diagram of a non-transitory computer-readable storage medium provided by the present invention. DETAILED DESCRIPTION

[0068] The present invention will be described in detail below in conjunction with specific implementations and examples, and the advantages and various effects of the present invention will be more clearly presented. It should be understood by those skilled in the art that these specific implementations and examples are used to illustrate the present invention, rather than to limit the present invention.

[0069] Throughout the specification, unless otherwise specifically stated, the terms used herein should be understood as meanings commonly used in the art. Therefore, unless otherwise defined, all technical and scientific terms used herein have the same meanings as those generally understood by those skilled in the art to which the present invention belongs. In the event of a conflict, the present specification takes precedence.

[0070] Unless otherwise specified, various raw materials, reagents, instruments and equipment used in the present invention can be purchased from the market or prepared by existing methods.

[0071] like Figure 1 In an embodiment of the present application, the present invention provides a method for rapid detection and monitoring of asphalt quality, the method comprising the steps of:

[0072] S1: Create a standard infrared spectrum database of standard asphalt samples;

[0073] In an embodiment of the present application, the step of creating a standard infrared spectrum database of a standard asphalt sample comprises the following steps:

[0074] Create an empty database;

[0075] Obtain several standard asphalt samples;

[0076] Obtaining first label information of each of the standard asphalt samples;

[0077] Obtaining a standard infrared spectrum of each of the standard asphalt samples;

[0078] Creating a first mapping between each of the first tag information and the corresponding standard infrared spectrum;

[0079] All of the first mappings are stored in the database.

[0080] In an embodiment of the present application, a standard infrared spectrum database of standard asphalt samples is used to store standard infrared spectra of standard asphalt samples, which can be created by the following steps: first, an empty database is created, and then a number of standard asphalt samples are obtained (which can be obtained from a laboratory or other area, and the standard asphalt samples are asphalt samples that have not been interfered with by the outside world), and then the first label information and the standard infrared spectrum of each standard asphalt sample are obtained. The first label information can be the name, origin, etc., and the number can be increased as needed, and at least each standard asphalt sample can be distinguished from each other. The standard infrared spectrum can be obtained by using an infrared spectrum detection instrument on the standard asphalt sample, and then a one-to-one first mapping is established between the first label information of each standard asphalt sample and the standard infrared spectrum, and the first mapping is stored in the database, thereby obtaining a standard infrared spectrum database.

[0081] In an embodiment of the present application, the step of creating a standard infrared spectrum database of a standard asphalt sample further includes the following steps:

[0082] Obtaining second label information of each of the standard asphalt samples;

[0083] Creating a second mapping between each of the second tag information and the corresponding standard infrared spectrum;

[0084] All the second mappings are stored in the database.

[0085] In an embodiment of the present application, since only using the first label information may not be able to well distinguish two or more standard asphalt samples with a high degree of similarity, the second label information can be added on the basis of the first label information to distinguish the two or more standard asphalt samples. For example, the first label information can be the name and origin, and the properties can be added as the second label information to distinguish the two or more standard asphalt samples, so as to better distinguish the asphalt samples. It can be understood that the first label information and the second label information can be label information on the same dimension, and the first label information and the second label information can also be label information on different dimensions. For example, the second label information is a sub-dimension of the first label information. In this case, the first label information can be the properties, and the second label information can be the color, size, etc.

[0086] In an embodiment of the present application, the step of obtaining the second label information of each standard asphalt sample comprises the following steps:

[0087] Acquire the first label information and the label information set of the standard asphalt sample; wherein the first label information and the label information set constitute all the label information of the standard asphalt sample;

[0088] arbitrarily selecting a third tag information in the tag information set;

[0089] Determining whether a gap between the first tag information and the third tag information is outside a preset gap range;

[0090] If so, use the third label information as the second label information;

[0091] If not, return to the step of arbitrarily selecting a third tag information in the tag information set.

[0092] In the embodiment of the present application, in order to ensure the distinction of the standard asphalt samples, the second label information should have a certain difference from the first label information, and this difference needs to exceed the preset difference range. For example, when the first label information and the second label information are "color" and "reflectivity" respectively, the difference between the two is small, and the effect of distinguishing multiple standard asphalt samples is poor; when the first label information and the second label information are "color" and "size" respectively, the difference between the two is large, and the effect of distinguishing multiple standard asphalt samples is good.

[0093] S2: Obtaining a first detection infrared spectrum of the asphalt sample to be detected;

[0094] In the embodiment of the present application, the first detection infrared spectrum can be obtained by using an infrared spectrum detection instrument to act on the asphalt sample to be detected.

[0095] S3: Obtaining a first detection result of the detected asphalt sample according to the standard infrared spectrum database and the first detected infrared spectrum;

[0096] In an embodiment of the present application, the step of obtaining the first detection result of the detected asphalt sample according to the standard infrared spectrum database and the first detected infrared spectrum includes the following steps:

[0097] Retrieving all standard infrared spectra in the standard infrared spectrum database;

[0098] Calculating a difference value obtained by comparing the first detection infrared spectrum with all the standard infrared spectra;

[0099] Arrange all said gap values ​​in ascending order;

[0100] The label information of the standard asphalt sample to which the standard infrared spectrum corresponding to the first gap value belongs is selected as the first detection result.

[0101] In an embodiment of the present application, the gap values ​​obtained by comparing the first detected infrared spectrum with all standard infrared spectra are arranged in ascending order, and then the label information of the standard asphalt sample to which the standard infrared spectrum corresponding to the first gap value belongs is selected as the first detection result.

[0102] S4: dividing the test asphalt sample to obtain test asphalt sub-samples;

[0103] In an embodiment of the present application, dividing the detected asphalt sample and obtaining the detected asphalt sub-samples comprises the steps of:

[0104] Obtaining the test asphalt sample;

[0105] The asphalt sample to be tested is placed naturally on a dividing table;

[0106] Finding a first dividing line on the surface of the detected asphalt sample;

[0107] The test asphalt sample is divided into a plurality of first test asphalt sub-samples according to the first dividing line.

[0108] In an embodiment of the present application, when dividing the test asphalt sample, the test asphalt sample is naturally placed on a dividing table, and then a first dividing line is found on the surface of the test asphalt sample, and the test asphalt sample is divided into several first test asphalt sub-samples according to the first dividing line.

[0109] In an embodiment of the present application, dividing the detected asphalt sample and obtaining the detected asphalt sub-samples further comprises the steps of:

[0110] Obtain any one of the first test asphalt sub-samples;

[0111] The first test asphalt sub-sample is placed naturally on the dividing table;

[0112] Finding a second dividing line that cuts the first dividing line on the surface of the first detected asphalt sub-sample;

[0113] The first asphalt sub-sample to be tested is divided into a plurality of second asphalt sub-samples to be tested according to the second dividing line.

[0114] In the embodiment of the present application, since the first dividing line is located on the surface of the asphalt sample to be tested, and the surface of the asphalt sample to be tested may be slightly contaminated, while the interior thereof is not contaminated, in order to improve the detection accuracy of the first asphalt sub-sample to be tested, it is also necessary to divide the first asphalt sub-sample to be tested again, that is, the first asphalt sub-sample to be tested is naturally placed on the dividing table, and a second dividing line that cuts the first dividing line is found on the surface of the first asphalt sub-sample to be tested, and then the first asphalt sub-sample to be tested is divided into a number of second asphalt sub-samples to be tested according to the second dividing line.

[0115] S5: Obtaining a second detection infrared spectrum of the detected asphalt sample;

[0116] In the embodiment of the present application, the second detection infrared spectrum can be obtained by using an infrared spectrum detection instrument to act on the detection asphalt sub-sample to be detected. The detection asphalt sub-sample can be the first detection asphalt sub-sample, the second detection asphalt sub-sample, or both.

[0117] S6: Obtaining a second test result of the tested asphalt sample according to the standard infrared spectrum database and the second tested infrared spectrum;

[0118] In an embodiment of the present application, the gap values ​​obtained by comparing the second detected infrared spectrum with all standard infrared spectra are arranged in ascending order, and then the label information of the standard asphalt sample to which the standard infrared spectrum corresponding to the first gap value belongs is selected as the second detection result.

[0119] S7: Determine whether the difference between the first detection result and the second detection result is within a preset difference range;

[0120] In the embodiment of the present application, the first detection result and the second detection result are compared, and it is determined whether the difference between the two is within a preset difference range.

[0121] S8: If yes, output the test quality qualified result;

[0122] In an embodiment of the present application, when it is determined that the gap between the first detection result and the second detection result is within a preset gap range, a qualified detection quality result is output, for example, a "qualified quality" sound can be output as a voice.

[0123] S9: If not, output the test quality failure result.

[0124] In an embodiment of the present application, when it is determined that the gap between the first detection result and the second detection result exceeds a preset gap range, an unqualified detection quality result is output, for example, a "quality unqualified" sound can be output as a voice.

[0125] like Figure 2 In the embodiment of the present application, the present application also provides a rapid detection and monitoring device for asphalt quality, the device comprising:

[0126] A standard infrared spectrum database creation module 10 is used to create a standard infrared spectrum database of a standard asphalt sample;

[0127] A first detection infrared spectrum acquisition module 20, used to acquire a first detection infrared spectrum of the asphalt sample to be detected;

[0128] A first detection result acquisition module 30, used to acquire a first detection result of the detected asphalt sample according to the standard infrared spectrum database and the first detection infrared spectrum;

[0129] The asphalt sample division module 40 is used to divide the asphalt sample and obtain asphalt samples;

[0130] A second detection infrared spectrum acquisition module 50 is used to acquire a second detection infrared spectrum of the detected asphalt sample;

[0131] A second test result acquisition module 60, configured to acquire a second test result of the tested asphalt sample according to the standard infrared spectrum database and the second test infrared spectrum;

[0132] A determination module 70, configured to determine whether the difference between the first detection result and the second detection result is within a preset difference range;

[0133] The detection quality result output module 80 is used to perform a preset operation according to the judgment result of the judgment module 70, wherein when the result of the judgment module 70 is yes, the detection quality result output module 80 outputs a qualified detection quality result; when the result of the judgment module 70 is no, the detection quality result output module 80 outputs an unqualified detection quality result.

[0134] The present application provides an asphalt quality rapid detection and monitoring device that can use the asphalt quality rapid detection and monitoring method provided above.

[0135] Reference below Figure 3, which shows a schematic diagram of the structure of an electronic device 100 suitable for implementing the embodiment of the present disclosure. The electronic device in the embodiment of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0136] like Figure 3 As shown, the electronic device 100 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 101, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 102 or a program loaded from a storage device 108 to a random access memory (RAM) 103. In the RAM 103, various programs and data required for the operation of the electronic device 100 are also stored. The processing device 101, the ROM 102, and the RAM 103 are connected to each other via a bus 104. An input / output (I / O) interface 105 is also connected to the bus 104.

[0137] Typically, the following devices may be connected to the I / O interface 105: an input device 106 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 107 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 108 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 109. The communication device 109 may allow the electronic device 100 to communicate with other devices wirelessly or by wire to exchange data. Although the electronic device 100 having various devices is shown in the figure, it should be understood that it is not required to implement or have all the devices shown. More or fewer devices may be implemented or have alternatively.

[0138] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 109, or installed from the storage device 108, or installed from the ROM 102. When the computer program is executed by the processing device 101, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

[0139] Reference below Figure 4, which shows a structural schematic diagram of a computer-readable storage medium suitable for implementing an embodiment of the present disclosure, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it can implement any of the above-mentioned methods for rapid detection and monitoring of asphalt quality.

[0140] It should be noted that the computer-readable medium disclosed above may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. The computer readable signal medium may also be any computer readable medium other than a computer readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0141] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0142] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: obtains at least two Internet Protocol addresses; sends a node evaluation request including the at least two Internet Protocol addresses to a node evaluation device, wherein the node evaluation device selects an Internet Protocol address from the at least two Internet Protocol addresses and returns it; receives the Internet Protocol address returned by the node evaluation device; wherein the obtained Internet Protocol address indicates an edge node in a content distribution network.

[0143] Alternatively, the computer-readable medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device: receives a node evaluation request including at least two Internet Protocol addresses; selects an Internet Protocol address from the at least two Internet Protocol addresses; and returns the selected Internet Protocol address; wherein the received Internet Protocol address indicates an edge node in a content distribution network.

[0144] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0145] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0146] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware. The name of a unit does not limit the unit itself in some cases. For example, the first acquisition unit may also be described as a "unit for acquiring at least two Internet Protocol addresses".

[0147] The present application provides a method, device and storage medium for rapid detection and monitoring of asphalt quality, which have high detection efficiency, accurate monitoring results, high degree of intelligence, and can greatly improve detection accuracy and monitor asphalt quality at all times.

[0148] It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, and do not constitute a limitation of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all changes and modifications that fall within the scope and boundaries of the appended claims, or the equivalent forms of such scope and boundaries.

Claims

1. A method for rapid detection and monitoring of asphalt quality, characterized in that: The method comprises the steps of: Create a standard infrared spectrum database of standard asphalt samples; Obtaining a first detection infrared spectrum of the asphalt sample to be detected; Acquire a first test result of the tested asphalt sample according to the standard infrared spectrum database and the first tested infrared spectrum; Dividing the test asphalt sample to obtain test asphalt sub-samples; Obtaining a second detection infrared spectrum of the detected asphalt sample; Acquire a second test result of the tested asphalt sample according to the standard infrared spectrum database and the second tested infrared spectrum; Determining whether the difference between the first detection result and the second detection result is within a preset difference range; If yes, output the qualified test quality result; If not, output the test quality unqualified result; The step of obtaining the first detection result of the detected asphalt sample according to the standard infrared spectrum database and the first detected infrared spectrum comprises the following steps: Retrieving all standard infrared spectra in the standard infrared spectrum database; Calculating a difference value obtained by comparing the first detection infrared spectrum with all the standard infrared spectra; Arrange all said gap values ​​in ascending order; The label information of the standard asphalt sample to which the standard infrared spectrum corresponding to the first gap value belongs is selected as the first detection result.

2. The asphalt quality rapid detection and monitoring method according to claim 1 is characterized in that: The step of creating a standard infrared spectrum database of a standard asphalt sample comprises the following steps: Create an empty database; Obtain several standard asphalt samples; Obtaining first label information of each of the standard asphalt samples; Obtaining a standard infrared spectrum of each of the standard asphalt samples; Creating a first mapping between each of the first tag information and the corresponding standard infrared spectrum; All of the first mappings are stored in the database.

3. The asphalt quality rapid detection and monitoring method according to claim 2 is characterized in that: The step of creating a standard infrared spectrum database of a standard asphalt sample further comprises the following steps: Obtaining second label information of each of the standard asphalt samples; Creating a second mapping between each of the second tag information and the corresponding standard infrared spectrum; All the second mappings are stored in the database.

4. The asphalt quality rapid detection and monitoring method according to claim 3 is characterized in that: The step of obtaining the second label information of each standard asphalt sample comprises the following steps: Acquire the first label information and the label information set of the standard asphalt sample; wherein the first label information and the label information set constitute all the label information of the standard asphalt sample; arbitrarily selecting a third tag information in the tag information set; Determining whether a gap between the first tag information and the third tag information is outside a preset gap range; If yes, use the third label information as the second label information; If not, return to the step of arbitrarily selecting a third tag information in the tag information set.

5. The asphalt quality rapid detection and monitoring method according to claim 1 is characterized in that: The step of dividing the test asphalt sample and obtaining the test asphalt sub-samples comprises the following steps: Obtaining the test asphalt sample; The asphalt sample to be tested is placed naturally on a dividing table; Finding a first dividing line on the surface of the detected asphalt sample; The test asphalt sample is divided into a plurality of first test asphalt sub-samples according to the first dividing line.

6. The asphalt quality rapid detection and monitoring method according to claim 5 is characterized in that: The step of dividing the test asphalt sample and obtaining the test asphalt sub-samples further comprises the following steps: Obtain any one of the first test asphalt sub-samples; The first test asphalt sub-sample is placed naturally on the dividing table; Finding a second dividing line that cuts the first dividing line on the surface of the first detected asphalt sub-sample; The first asphalt sub-sample to be tested is divided into a plurality of second asphalt sub-samples to be tested according to the second dividing line.

7. A rapid detection and monitoring device for asphalt quality, characterized in that: The device is used to execute the method according to any one of claims 1 to 6, and the device comprises: A standard infrared spectrum database creation module is used to create a standard infrared spectrum database of standard asphalt samples; A first detection infrared spectrum acquisition module, used to acquire a first detection infrared spectrum of the asphalt sample to be detected; A first detection result acquisition module, used for acquiring a first detection result of the detected asphalt sample according to the standard infrared spectrum database and the first detection infrared spectrum; A test asphalt sub-sample division module, used to divide the test asphalt sample and obtain the test asphalt sub-samples; A second detection infrared spectrum acquisition module, used to acquire a second detection infrared spectrum of the detected asphalt sample; A second test result acquisition module, used for acquiring a second test result of the tested asphalt sample according to the standard infrared spectrum database and the second test infrared spectrum; A judging module, used to judge whether the difference between the first detection result and the second detection result is within a preset difference range; The detection quality result output module is used to perform a preset operation according to the judgment result of the judgment module, wherein when the result of the judgment module is yes, the detection quality result output module outputs a qualified detection quality result; when the result of the judgment module is no, the detection quality result output module outputs an unqualified detection quality result.

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