Dynamic regenerant ratio control method and system based on old material intelligent perception classification

Abstract

The invention discloses a dynamic regenerant ratio control method and system based on old material intelligent perception classification, and belongs to the field of asphalt road hot in-place recycling construction. The method comprises the following steps: performing comprehensive sampling and item subitem on different old pavements in a construction range before construction, and collecting physical characteristics of the different old pavements; classifying according to the aging degrees and disease types of different old pavements; obtaining an optimal mix proportion of the recycled asphalt mixture through a performance test of the recycled asphalt mixture; finally, establishing a mapping relation library of the physical characteristics of the old pavement and the parameters of the regenerant; and in the construction stage, regeneration repair is completed through dynamic spraying. According to the method, the problem of extensive addition of the traditional regenerant is solved, and accurate matching of the regenerant, the pavement condition and the old material aging degree is realized through a technical closed loop of classification identification, performance test and dynamic spraying. And targeted regeneration and repair are achieved for different pavement conditions, meanwhile, the use amount of a regenerant is reduced, and the construction cost is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of in-situ hot recycling construction of asphalt roads, and particularly relates to a dynamic regenerant ratio control method and system based on intelligent perception and classification of old materials. Background Art

[0002] As a green and environmental-friendly pavement maintenance technology, the in-situ hot recycling technology of asphalt roads has been widely applied in recent years. This in-situ hot recycling technology of asphalt roads realizes the recycling of old pavement materials by heating, raking, adding regenerants and new materials to the old pavement materials, and then re-paving and rolling, which has the advantages of saving resources, protecting the environment, quick construction, and little traffic interference.

[0003] However, the traditional in-situ hot recycling technology of asphalt roads also has certain limitations in practical applications. For example, it is difficult to make targeted treatments for different pavement conditions on the same road section, and the addition of regenerants is extensive. The main reasons for these drawbacks and problems are that the traditional in-situ hot recycling technology of asphalt roads only takes typical samples of the pavement as the construction basis for pavement repair, and fails to conduct a comprehensive sampling analysis of the pavement. This makes it impossible to carry out targeted regeneration repair according to different pavement conditions and the aging degree of old pavement materials. Summary of the Invention

[0004] In order to solve the limitations of the existing in-situ hot recycling technology of asphalt roads, the present invention provides a dynamic regenerant ratio control method and system based on intelligent perception and classification of old materials.

[0005] The dynamic regenerant ratio control method and system based on intelligent perception and classification of old materials of the present invention conduct a comprehensive sampling and classification of different old pavements within the construction scope before construction, and at the same time collect the physical characteristics of different old pavements; then give the aging degree and disease types of the old pavements according to the physical characteristics of different old pavements, and classify them according to the aging degree and disease types of the old pavements; then obtain the optimal mix proportion of the recycled asphalt mixture through performance tests of the recycled asphalt mixture; finally establish a mapping relationship library between the physical characteristics of the old pavement and the regenerant parameters; and complete the regeneration repair through dynamic spraying during the construction stage.

[0006] The technical solutions adopted by the present invention to solve the technical problems are as follows:

[0007] A dynamic regenerant ratio control method based on intelligent perception and classification of old materials provided by the present invention mainly includes the following steps:

[0008] (1) Conduct a comprehensive sampling and classification of different old pavements within the construction scope before construction;

[0009] (2) Collect the physical characteristics of different old pavements;

[0010] (3) First, give the aging degree and disease types of the old pavement according to the physical characteristics of different old pavements, and then classify them according to the aging degree and disease types of the old pavement.

[0011] (4) Performance test of recycled asphalt mixture;

[0012] (5) Mix proportion design of recycled asphalt mixture;

[0013] (6) Establish a mapping relationship library between the physical characteristics of the old pavement and the parameters of the regenerant;

[0014] (7) Dynamic spraying and regeneration repair construction.

[0015] As a preferred implementation manner, in step (1), first determine and mark the sampling section; firmly place the pavement coring machine at the sampling location, vertically align it with the pavement and lower the drill bit; start the motor while turning on the cooling water, and slowly press down the drill rod to take core samples.

[0016] As a preferred implementation manner, in step (2), the physical characteristics of the different old pavements include texture, cracks, flatness and thickness.

[0017] As a preferred implementation manner, in step (3), the disease types of the old pavement include: cracks, settlement, rutting, looseness, bleeding, wave heaving and frost heaving and pumping.

[0018] As a preferred implementation manner, in step (5), the recycled asphalt mixture includes old pavement samples, basalt fibers, steel slag and SBS modified asphalt; the dosage ratios of the old pavement samples, basalt fibers, steel slag and SBS modified asphalt are (6 - 10):(3 - 7):(4 - 8):(0.8 - 1.2).

[0019] As a preferred implementation manner, in step (6), collect the physical characteristic data information of different types of old pavement materials, and at the same time collect the parameter data information of different regenerants; analyze the relationship between the physical characteristic data information of the old pavement materials and the parameter data information of the regenerants, and find out the rules and patterns; store the above analysis results in the database as the mapping relationship library.

[0020] As a preferred implementation manner, in step (7), during the construction process, use high-precision sensors to accurately identify the disease types of the old pavement, and the data collected by the used high-precision sensors is transmitted to the host computer control system. The host computer control system analyzes the performance of the old materials according to the preset algorithm and the reference mapping relationship library, and calculates the required regenerant addition ratio according to the disease types of the old pavement; according to the instructions of the host computer control system, dynamically adjust the regenerant addition ratio and conduct targeted regeneration repair construction for different old pavement conditions.

[0021] A dynamic regenerant ratio control system based on intelligent perception and classification of old materials provided by the present invention is used to implement the dynamic regenerant ratio control method based on intelligent perception and classification of old materials.

[0022] As a preferred embodiment, a dynamic regenerant ratio control system based on intelligent perception and classification of old materials provided by the present invention includes:

[0023] A comprehensive sampling sub-module for comprehensively sampling different old road surfaces within the construction area before construction;

[0024] An old road surface physical characteristic extraction module for collecting the physical characteristics of different old road surfaces;

[0025] An old road surface aging disease analysis and classification module for giving the aging degree and disease types of the old road surface according to the physical characteristics of different old road surfaces, and then classifying according to the aging degree and disease types of the old road surface;

[0026] A performance test module for implementing the performance test of the recycled asphalt mixture;

[0027] A mix design module for implementing the mix design test of the recycled asphalt mixture;

[0028] A mapping relationship library establishment module for constructing a mapping relationship library;

[0029] A regeneration and repair construction module for dynamically spraying the mixture of the recycled asphalt mixture and the regenerant to realize the regeneration and repair of the old road surface.

[0030] The present invention provides an electronic device, including: a processor, a communication interface, a memory, and a communication bus;

[0031] The memory is used to store computer programs and local data uploaded by users;

[0032] The processor is used to execute the computer programs stored in the memory to implement the steps of the dynamic regenerant ratio control method based on intelligent perception and classification of old materials;

[0033] The communication interface is used for communication between an electronic device of the present invention and other devices;

[0034] The communication bus is used to realize communication between the processor, the communication interface, and the memory.

[0035] The beneficial effects of the present invention are:

[0036] Before construction, the present invention comprehensively samples and separates different old road surfaces within the construction scope, and simultaneously collects the physical characteristics of different old road surfaces; then, based on the physical characteristics of different old road surfaces, the aging degree and disease types of the old road surfaces are given, and classification is carried out according to the aging degree and disease types of the old road surfaces; then, the optimal mix ratio of the recycled asphalt mixture is obtained through performance tests of the recycled asphalt mixture; finally, a mapping relationship library between the physical characteristics of the old road surface and the regenerant parameters is established; during the construction stage, the regeneration repair is completed through dynamic spraying.

[0037] The present invention solves the problem of extensive addition of traditional regenerants. Through the technical closed-loop of classification and identification → performance test → dynamic spraying, precise matching of the regenerant with the road surface conditions and the aging degree of the old materials is achieved. Targeted regeneration repair is carried out for different road surface conditions, while reducing the usage amount of the regenerant and lowering the construction cost. Brief Description of the Drawings

[0038] Figure 1 It is a flow chart of a dynamic regenerant ratio control method based on intelligent perception and classification of old materials provided by the present invention. Detailed Embodiment

[0039] The following further elaborates on the present invention in conjunction with the drawings.

[0040] In the first aspect, the present invention provides a dynamic regenerant ratio control method based on intelligent perception and classification of old materials.

[0041] As Figure 1 shown, a dynamic regenerant ratio control method based on intelligent perception and classification of old materials provided by the present invention has the following specific implementation process:

[0042] Step S1: Classification and identification;

[0043] S1.1: Comprehensive sampling and separation;

[0044] Before construction, different old road surfaces within the construction scope are comprehensively sampled and separated. The sampling method for the old road surface is as follows:

[0045] Use a pavement core drill or a cutting machine to obtain specimens of the cement concrete surface layer, asphalt mixture surface layer, or inorganic binder stabilized base layer of the old road surface on-site.

[0046] Preferably, the diameter of the specimen needs to be at least 3 times or more than 3 times the maximum aggregate particle size.

[0047] Preferably, the specific steps of sampling include: first, determine and mark the sampling section; firmly place the pavement core drill at the sampling location, vertically align it with the road surface and lower the drill bit; start the motor while turning on the cooling water, and slowly press down the drill rod to take core samples.

[0048] S1.2: Collect the physical characteristics of different old road surfaces;

[0049] Analyze the cement concrete, asphalt mixture or inorganic binder used for the sampled old road surface specimens, and sort out the physical characteristics of different old road surfaces, such as texture, cracks, flatness, thickness and other information.

[0050] Specifically, the road surface texture usually refers to the roughness of the road surface. The road surface texture will directly affect the friction between the vehicle tires and the road surface. The texture of the old road surface may become smooth due to long-term wear and aging, reducing the road surface friction, and thus affecting the driving safety of vehicles.

[0051] Preferably, the detection of the road surface texture can be realized by a laser profilometer or by using image analysis technology.

[0052] Furthermore, the laser profilometer, also known as the laser interference micro profilometer, is a precision instrument used to measure and evaluate the surface texture of an object. Through this precision instrument, a three-dimensional image of the road surface can be captured, and then the texture depth and the number of convex points per unit area of the texture can be calculated.

[0053] Furthermore, the image analysis technology can specifically select the LBP detection algorithm (Local Binary Pattern), which is an operator used to describe the local texture characteristics of an image and has advantages such as rotation invariance and gray invariance. The LBP operator is defined as follows: within a 3×3 window, taking the pixel at the center of the window as the threshold, compare the gray values of the 8 pixel points in the 3×3 neighborhood with it respectively. If the surrounding pixel value is greater than the pixel value at the center of its window, the position of this pixel point is marked as 1, otherwise it is 0. In this way, the 8 pixel points in the 3×3 neighborhood can generate an 8-bit binary number (usually converted to a decimal number, that is, the LBP code, a total of 256 kinds) after comparison, that is, the LBP value of the pixel point at the center of this window is obtained, and this value is used to reflect the texture information of this area.

[0054] Specifically, cracks are one of the common diseases of old road surfaces, which mainly include longitudinal cracks, transverse cracks and reticular cracks, etc. The appearance of these cracks may be caused by reasons such as foundation settlement, temperature change, material aging, etc. The appearance of cracks will not only affect the beauty of the road surface, but also cause water penetration and accelerate the damage of the road surface structure.

[0055] Preferably, the width and length of the cracks can be obtained by using a drone equipped with a high-resolution camera to take pictures, and then analyzing the high-resolution images through image processing software. Utilizing the high-altitude perspective of the drone and the clear imaging of the high-resolution camera, a large area can be quickly covered and the detailed situation of the cracks can be captured.

[0056] Furthermore, the image processing software of the present invention performs operations such as edge detection processing, morphological processing, and filtering on the captured images in sequence, and then can extract potential crack regions from the images, and further calculate the width and length of the cracks.

[0057] Furthermore, the image processing software of the present invention can specifically adopt Adobe Photoshop, Adobe Lightroom, Capture One, Pixlr, etc. But it is not limited thereto.

[0058] Specifically, pavement evenness refers to the flatness degree of the pavement surface, which is one of the important indicators to measure pavement quality. An uneven pavement may cause bumps during vehicle driving, increase the vehicle maintenance cost, and also affect vehicle driving safety. The evenness of the old pavement may decrease due to the influence of long-term traffic loads and natural factors.

[0059] Preferably, the International Roughness Index (IRI) is an important indicator to measure pavement evenness. Therefore, an on-vehicle roughness meter (such as Profilograph) or a portable bump integrator (such as PWI) can be used to measure pavement evenness. These devices are used to record the bumps encountered by the vehicle during driving, and then to evaluate the evenness of the pavement.

[0060] Specifically, pavement thickness refers to the vertical distance from the surface of the pavement structure to the top surface of the subgrade. The thickness of the old pavement may gradually become thinner due to long-term traffic loads, and even potholes may occur.

[0061] Preferably, pavement thickness detection can specifically use ground-penetrating radar for detection or ultrasonic detection methods. Among them, ground-penetrating radar (GPR) is a non-destructive detection technology that uses high-frequency electromagnetic waves to detect the distribution of underground media. Through ground-penetrating radar, layered images of each layer of the pavement can be provided. The ultrasonic detection method is a non-destructive detection technology, which is mainly applicable to the thickness measurement of concrete pavements.

[0062] S1.3: First, give the aging degree and disease types of the old pavement according to the physical characteristics of different old pavements, and then classify them according to the aging degree and disease types of the old pavement, so as to accurately identify them during the subsequent regeneration construction process.

[0063] Specifically, the disease types of the old pavement mainly include: cracks, subsidence, rutting, looseness, bleeding, wave heaving, frost heaving and pumping, etc.

[0064] Furthermore, cracks can be further classified into various types such as network cracks (crazing), longitudinal cracks, and transverse cracks according to their shapes and causes. Settlement is usually a local depression on the road surface caused by insufficient foundation bearing capacity, poor construction quality, or long-term influence of heavy-duty vehicles. Rutting is mainly caused by insufficient shear strength of asphalt mixture, resulting in pavement deformation under high temperature and repeated loads. Looseness is caused by insufficient compaction during construction or the use of unqualified raw materials. Bleeding mainly refers to the phenomenon that asphalt precipitates from the mixture to the road surface and forms an oil film under high temperature conditions in summer. Potholes are mainly formed by the further development and continuation of diseases such as cracks, crazing, and looseness in asphalt pavement. The causes of wavy bumps mainly lie in: poor bonding between the upper and lower layers of the road surface due to construction quality; deformation and displacement occur because the base layer or bottom layer is not compacted and has insufficient strength; the mixture accumulates towards the lower part on steep slopes or sections with poor flatness to form bumps. Frost heaving and pumping are caused by the intrusion of water and poor water stability of subgrade soil, resulting in the freezing of water accumulated in the upper layer of the subgrade, causing the road surface to bulge and crack.

[0065] Step S2: Performance test;

[0066] Conduct performance tests on recycled asphalt mixtures for different types of old road surfaces, design the mix proportion of recycled asphalt mixtures, etc., to determine the addition ratios of different old road surface rejuvenators, and establish a mapping relationship library between the physical characteristics of old road surfaces and rejuvenator parameters.

[0067] S2.1: Performance test of recycled asphalt mixture;

[0068] (1) Raw material preparation;

[0069] Select the old road surface samples obtained in step S1.1, and test them to meet technical requirements through experiments.

[0070] At the same time, select basalt fiber, steel slag, and SBS modified asphalt for performance tests of recycled asphalt mixtures.

[0071] (2) Test methods;

[0072] After pre-treating the old road surface samples, add basalt fiber and steel slag to them to make recycled asphalt mixtures. First, conduct high-temperature stability tests to explore the influence of different addition amounts of basalt fiber and steel slag on the high-temperature stability of recycled asphalt mixtures; then conduct low-temperature anti-cracking performance tests to explore the influence of different addition amounts of basalt fiber and steel slag on the low-temperature anti-cracking performance of recycled asphalt mixtures; finally, conduct water stability tests to explore the influence of different addition amounts of basalt fiber and steel slag on the water stability of recycled asphalt mixtures. The specific test design is shown in Table 1.

[0073] Table 1

[0074]

[0075] (3) Test results are shown in Table 2;

[0076] Table 2

[0077]

[0078] S2.2: Mix proportion design of recycled asphalt mixture;

[0079] According to the results of the above tests, as the addition amounts of the old pavement samples, basalt fibers, and steel slag are gradually increased, the freeze-thaw splitting strength ratio, low-temperature failure strain, and dynamic stability are gradually increased. When the addition amount of the old pavement samples is 40%, the addition amount of basalt fibers is 25%, the addition amount of steel slag is 30%, and the addition amount of SBS modified asphalt is 5%, the highest freeze-thaw splitting strength ratio is 77.6%, the highest low-temperature failure strain is 2685 με, and the highest dynamic stability is 5968 times / mm.

[0080] S2.3: Establish a mapping relationship library between the physical characteristics of the old pavement and the parameters of the regenerant;

[0081] The mapping relationship library between the physical characteristics of the old pavement and the parameters of the regenerant is mainly used to store and manage the relationship between the physical characteristics (such as viscosity, penetration, ductility, etc.) of the old pavement materials and the parameters of the regenerant (such as viscosity, aromatic phenol content, etc.). This mapping relationship library of the physical characteristics of the old pavement and the parameters of the regenerant will help to select a suitable regenerant during the regeneration repair to achieve the best regeneration effect.

[0082] The specific establishment process is as follows:

[0083] S2.3.1: Data collection;

[0084] Collect the physical characteristic data information of different types of old pavement materials, and at the same time collect the parameter data information of different regenerants.

[0085] S2.3.2: Data analysis and related tests;

[0086] Analyze the relationship between the physical characteristic data information of the old pavement materials and the parameter data information of the regenerant to find out the rules and patterns. Among them, different types of old pavement materials will age due to the action of high temperature and natural factors during use, resulting in a series of changes such as an increase in material viscosity, a decrease in ductility, and a decrease in penetration. For example, the viscosity of aged asphalt may be higher than 10 6Pa·s, the penetration may be less than 40 / mm. Among them, the regenerant is mainly used to adjust the viscosity of the old pavement material and soften it to improve its rheological properties. The regenerant should have appropriate viscosity, good rheological properties, and the ability to dissolve and disperse asphaltenes. Therefore, the regenerant in the present invention mainly uses mineral oils of low-viscosity petroleum systems, such as extraction oils during refined lubricating oil production, lubricating oils, engine oils, and heavy oils, etc., but not limited thereto.

[0087] S2.3.3: Establish a mapping relationship library;

[0088] Store the above analysis results in the database as the mapping relationship library (Table 3) for querying and using. Mapping relationship: When the viscosity of the aged asphalt is higher than 10 6 Pa·s or the penetration is less than 40 / mm, a low-viscosity regenerant needs to be added. The selection and dosage of the regenerant should consider factors such as the viscosity of the old asphalt, the viscosity of the recycled asphalt mixture, and the viscosity of the regenerant.

[0089] Table 3

[0090]

[0091] Apply this mapping relationship library in the actual old pavement recycling construction project, and continuously verify, optimize, and adjust. By establishing such a mapping relationship library, the present invention can improve the efficiency and quality of old pavement recycling and repair, save resources, and reduce costs.

[0092] Step S3: Dynamic spraying;

[0093] During the construction process, use high-precision sensors to accurately identify the disease types of the old pavement. The data collected by the high-precision sensors is transmitted to the upper computer control system. The upper computer control system analyzes the performance of the old materials according to the preset algorithm and referring to the above mapping relationship library, and calculates the required regenerant addition ratio according to the disease types of the old pavement; according to the instructions of the upper computer control system, dynamically adjust the regenerant addition ratio to perform targeted regenerative repair construction on different old pavement conditions.

[0094] In the second aspect, the present invention provides a dynamic regenerant ratio control system based on intelligent perception and classification of old materials to implement a dynamic regenerant ratio control method based on intelligent perception and classification of old materials provided in the first aspect of the present invention.

[0095] A dynamic regenerant ratio control system based on intelligent perception and classification of old materials provided by the present invention mainly includes the following modules:

[0096] A comprehensive sampling sub-module, mainly used to perform comprehensive sampling operations on different old pavements within the construction scope before construction;

[0097] The old pavement physical feature extraction module is mainly used to collect the physical features of different old pavements, facilitating subsequent tests and other operations;

[0098] The old pavement aging disease analysis and classification module is mainly used to give the aging degree and disease types of old pavements based on the physical features of different old pavements, and then classify them according to the aging degree and disease types of old pavements;

[0099] The performance test module is mainly used to implement some performance tests of recycled asphalt mixtures;

[0100] The mix design module is mainly used to implement the mix design test of recycled asphalt mixtures;

[0101] The mapping relationship library establishment module is mainly used to construct the mapping relationship library;

[0102] The regeneration and repair construction module is mainly used to implement the dynamic spraying of the mixture of recycled asphalt mixture and regenerant, and realize the regeneration and repair of old pavements.

[0103] Thirdly, the present invention provides an electronic device.

[0104] An electronic device provided by the present invention mainly includes the following components:

[0105] A memory, used to store computer programs and local data uploaded by users;

[0106] A processor, used to execute the computer programs stored in the memory to implement the steps of a dynamic regenerant ratio control method provided by the first aspect of the present invention;

[0107] A communication interface, used for communication between an electronic device of the present invention and other devices;

[0108] A communication bus, used to realize communication between the processor, the communication interface and the memory.

[0109] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features, but these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A dynamic regenerant ratio control method based on intelligent perception and classification of recycled materials, characterized in that, It includes the following steps: (1) Before construction, conduct a comprehensive sampling and itemization of different old road surfaces within the construction scope; (2) Collect the physical characteristics of different old road surfaces; (3) First, give the aging degree and disease types of the old road surface according to the physical characteristics of different old road surfaces, and then classify according to the aging degree and disease types of the old road surface; (4) Performance test of recycled asphalt mixture; (5) Mix proportion design of recycled asphalt mixture; (6) Establish a mapping relationship library between the physical characteristics of the old road surface and the parameters of the regenerant; (7) Dynamic spraying for regeneration and repair construction.

2. The dynamic regenerant ratio control method based on intelligent perception and classification of old materials according to claim 1, characterized in that In step (1), first determine and mark the sampling section; firmly place the road core drill on the sampling site, vertically align it with the road surface and lower the drill bit; start the motor while opening the cooling water, and slowly press down the drill rod to take core samples.

3. The dynamic regenerant ratio control method based on intelligent perception and classification of old materials according to claim 1, characterized in that In step (2), the physical characteristics of the different old road surfaces include texture, cracks, flatness, and thickness.

4. The dynamic regenerant ratio control method based on intelligent perception and classification of old materials according to claim 1, characterized in that In step (3), the disease types of the old road surface include: cracks, settlement, rutting, looseness, bleeding, wave heaving, and frost heaving and pumping.

5. The dynamic regenerant ratio control method based on intelligent perception and classification of recycled materials according to claim 1, characterized in that In step (5), the recycled asphalt mixture includes old road surface samples, basalt fibers, steel slag, and SBS modified asphalt; the dosage ratio of the old road surface samples, basalt fibers, steel slag, and SBS modified asphalt is (6 - 10):(3 - 7):(4 - 8):(0.8 - 1.2).

6. The dynamic regenerant ratio control method based on intelligent perception and classification of recycled materials according to claim 1, wherein, In step (6), collect the physical characteristic data information of different types of old road surface materials, and at the same time collect the parameter data information of different regenerants; analyze the relationship between the physical characteristic data information of the old road surface materials and the parameter data information of the regenerants to find out the rules and patterns; store the above analysis results in the database as the mapping relationship library.

7. The dynamic regenerant ratio control method based on intelligent perception and classification of old materials according to claim 1, characterized in that, In step (7), during the construction process, use high-precision sensors to accurately identify the disease types of the old road surface, and the data collected by the used high-precision sensors are transmitted to the upper computer control system. The upper computer control system analyzes the performance of the old materials according to the preset algorithm and referring to the mapping relationship library, and calculates the required addition ratio of the regenerant according to the disease types of the old road surface; according to the instructions of the upper computer control system, dynamically adjust the addition ratio of the regenerant to conduct targeted regeneration and repair construction for different old road surface conditions.

8. The dynamic regenerant ratio control system based on intelligent perception and classification of recycled materials is characterized in that This system is used to implement the dynamic regenerant ratio control method based on intelligent perception and classification of old materials described in any one of claims 1 - 7.

9. The dynamic regenerant ratio control system based on intelligent perception and classification of old materials according to claim 8, wherein, It includes: A comprehensive sampling and itemization module, used to conduct a comprehensive sampling operation on different old road surfaces within the construction scope before construction; An old road surface physical characteristic extraction module, used to collect the physical characteristics of different old road surfaces; An old road surface aging and disease analysis and classification module, used to give the aging degree and disease types of the old road surface according to the physical characteristics of different old road surfaces, and then classify according to the aging degree and disease types of the old road surface; A performance test module, used to implement the performance test of the recycled asphalt mixture; A mix proportion design module, used to implement the mix proportion design test of the recycled asphalt mixture; A mapping relationship library establishment module, used to construct the mapping relationship library; A regeneration and repair construction module, used to implement the dynamic spraying of the mixture of the recycled asphalt mixture and the regenerant to achieve the regeneration and repair of the old road surface.

10. An electronic device, characterized in that, Including: A processor, a communication interface, a memory, and a communication bus; The memory is used to store computer programs and local data uploaded by users; The processor is used to execute the computer programs stored in the memory to implement the steps of the dynamic regenerant ratio control method based on intelligent perception and classification of scrap materials according to any one of claims 1 to 7; The communication interface is used for communication between an electronic device of the present invention and other devices; The communication bus is used to realize communication between the processor, the communication interface, and the memory.

Images