Dynamic optimization method for mixture ratio of reclaimed asphalt mixture

Abstract

This application relates to the field of road engineering materials technology, and particularly to a method for dynamic optimization of the mix proportion of recycled asphalt mixtures, comprising: detecting the first asphalt-aggregate ratio of a sample milled material; obtaining a preset optimal asphalt-aggregate ratio; determining the new aggregate content and the new asphalt content based on the first asphalt-aggregate ratio and the optimal asphalt-aggregate ratio; performing recycling treatment on the sample milled material based on the new aggregate content and the new asphalt content to obtain a sample recycled asphalt mixture; then detecting the first density and the first isothermal viscosity of the sample recycled asphalt mixture; performing the same operation on the remaining milled materials; then detecting the second density and the second isothermal viscosity of the recycled asphalt mixture; when the absolute value of the difference between the first density and the second density is greater than a first threshold, or the absolute value of the difference between the first isothermal viscosity and the second isothermal viscosity is greater than a second threshold, determining a mix proportion optimization strategy based on the difference between the first density and the second density, and the difference between the first isothermal viscosity and the second isothermal viscosity.

Description

Technical Field

[0001] This application belongs to the field of road engineering materials technology, and in particular relates to a method for dynamic optimization of the mix proportion of recycled asphalt mixtures. Background Technology

[0002] Recycled asphalt mixture is a road filler material obtained by recycling road milling material, adding new aggregates and new asphalt. It is a waste recycling material.

[0003] Traditional recycled asphalt mixture production relies heavily on pre-designed mix proportions in the laboratory and operator experience for production control. However, milled aggregate exhibits significant variability (such as moisture content, asphalt content, aging degree, and gradation composition). Fixed production formulas often face numerous problems in actual production. For instance, fluctuations in the properties of milled aggregate can cause key indicators such as the asphalt-aggregate ratio and gradation of the final mixture to deviate from design values, affecting road performance. Furthermore, when quality deviations occur, it is usually necessary to stop production, take samples, conduct laboratory tests, and then manually adjust the formula, resulting in a delayed response and material waste. Therefore, existing technologies lack a systematic solution that can perceive material status in real time on the production line, predict product quality in real time, and adjust the formula in a closed-loop manner. Summary of the Invention

[0004] This application provides a method for dynamically optimizing the mix proportion of recycled asphalt mixtures, which can solve the problem that existing technologies cannot dynamically adjust the mix proportion of recycled asphalt mixtures online in a timely manner.

[0005] In a first aspect, embodiments of this application provide a method for dynamic optimization of the mix proportion of recycled asphalt mixtures, applied to a device for dynamic optimization of the mix proportion of recycled asphalt mixtures, the method comprising: Samples were taken from the milled material, and the first oilstone ratio of the sample milled material was tested; Obtain the preset optimal oilstone ratio; Based on the first asphalt-aggregate ratio and the optimal asphalt-aggregate ratio, determine the new aggregate content and the new asphalt content. Based on the new aggregate content value and the new asphalt content value, the sample milled material is recycled to obtain a sample recycled asphalt mixture, and then the first density and first isothermal viscosity of the sample recycled asphalt mixture are tested. Based on the new aggregate content value and the new asphalt content value, the milled material is recycled to obtain recycled asphalt mixture, and then the second density and second isothermal viscosity of the recycled asphalt mixture are tested. When the absolute value of the difference between the first density and the second density is greater than a first threshold, or the absolute value of the difference between the first isothermal viscosity and the second isothermal viscosity is greater than a second threshold, a mix proportion optimization strategy is determined based on the difference between the first density and the second density, and the difference between the first isothermal viscosity and the second isothermal viscosity; wherein, the mix proportion optimization strategy is used to adjust the mix proportion of the recycled asphalt mixture.

[0006] The technical solutions described in this application embodiment have at least the following technical effects: The method for dynamic optimization of recycled asphalt mixture mix proportions provided in this application firstly involves sampling milled material and detecting the first asphalt-aggregate ratio of the sample milled material. Secondly, a preset optimal asphalt-aggregate ratio is obtained. Then, based on the first asphalt-aggregate ratio and the optimal asphalt-aggregate ratio, the new aggregate content and the new asphalt content are determined. In this step, the sample milled material is used as the main component to deduce the new aggregate content and the new asphalt content required to change the first asphalt-aggregate ratio of the sample milled material to the optimal asphalt-aggregate ratio, thus determining the initial new aggregate content and the new asphalt content of the dynamic optimization system for recycled asphalt mixture mix proportions. Next, based on the new aggregate content and the new asphalt content, the sample milled material is recycled to obtain a sample recycled asphalt mixture, and then the first density and the first isothermal viscosity of the sample recycled asphalt mixture are detected. In this step, new aggregate and new asphalt are added to the sample milled material to make it a sample recycled asphalt mixture with the optimal asphalt-aggregate ratio, and then the first density and the first isothermal viscosity of the sample recycled asphalt mixture are detected. Subsequently, the milled material is recycled based on the new aggregate and asphalt content values ​​to obtain recycled asphalt mixture. Then, the second density and second isothermal viscosity of the recycled asphalt mixture are measured. In this step, the milled material undergoes the same recycling treatment with the new aggregate and asphalt content values ​​to obtain recycled asphalt mixture, and the second density and second isothermal viscosity of the recycled asphalt mixture are measured to determine its properties. Finally, when the absolute value of the difference between the first and second densities is greater than a first threshold, or the absolute value of the difference between the first and second isothermal viscosities is greater than a second threshold, a mix proportion optimization strategy is determined based on the differences between the first and second densities and the first and second isothermal viscosities. In this step, the first and second densities and the first and second isothermal viscosities are compared; when one of them is greater than a preset threshold, the mix proportion optimization strategy is determined based on the specific difference. In this method, a portion of the milled material samples are first subjected to a complete recycling process to achieve the optimal asphalt-aggregate ratio. Then, the remaining milled material is processed using the same recycling process. The density and constant-temperature viscosity of the two samples are compared to monitor the material state in real time. When the material state difference is too large, a mix proportion optimization strategy is generated to dynamically adjust the mix proportion formula. This method can solve the problem that existing technologies cannot dynamically adjust the mix proportion of recycled asphalt mixtures online in a timely manner.

[0007] Secondly, embodiments of this application provide a dynamic optimization system for the mix proportion of recycled asphalt mixtures, applied to a dynamic optimization device for the mix proportion of recycled asphalt mixtures. The system includes: The sampling unit is used to sample the milled material and detect the first oilstone ratio of the sample milled material; The input unit is used to obtain the preset optimal oil-stone ratio; The calculation unit is used to determine the new aggregate content value and the new asphalt content value based on the first asphalt-aggregate ratio and the optimal asphalt-aggregate ratio. The first mixing and testing unit is used to regenerate the sample milled material based on the new aggregate content value and the new asphalt content value to obtain the sample recycled asphalt mixture, and then test the first density and first constant temperature viscosity of the sample recycled asphalt mixture. The second mixing and testing unit is used to regenerate the milled material based on the new aggregate content value and the new asphalt content value to obtain a recycled asphalt mixture, and then test the second density and second isothermal viscosity of the recycled asphalt mixture. A dynamic optimization unit is used to determine a mix proportion optimization strategy based on the difference between the first density and the second density, and the difference between the first isothermal viscosity and the second isothermal viscosity, when the absolute value of the difference between the first density and the second density is greater than a first threshold, or the absolute value of the difference between the first isothermal viscosity and the second isothermal viscosity is greater than a second threshold; wherein, the mix proportion optimization strategy is used to adjust the mix proportion of the recycled asphalt mixture.

[0008] Thirdly, embodiments of this application provide a device for dynamically optimizing the mix proportion of recycled asphalt mixtures, including a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the method described in any of the first aspects above.

[0009] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described in any of the first aspects above.

[0010] Fifthly, embodiments of this application provide a computer program product that, when running on a dynamic optimization device for recycled asphalt mixture proportions, causes the dynamic optimization device for recycled asphalt mixture proportions to execute the dynamic optimization method for recycled asphalt mixture proportions described in any of the first aspects.

[0011] It is understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is a schematic flowchart of a method for dynamically optimizing the mix proportion of recycled asphalt mixtures according to an embodiment of this application; Figure 2 This is a first structural schematic diagram of a device for dynamically optimizing the mix proportion of recycled asphalt mixture according to an embodiment of this application; Figure 3 This is a schematic diagram of the specific structure of the equipment for dynamically optimizing the mix proportion of recycled asphalt mixture in step S630 of the method for dynamically optimizing the mix proportion of recycled asphalt mixture provided in an embodiment of this application. Figure 4 This is a schematic diagram of the specific structure of the equipment for dynamically optimizing the mix proportion of recycled asphalt mixture in step S640 of the method for dynamically optimizing the mix proportion of recycled asphalt mixture provided in an embodiment of this application. Figure 5 This is a schematic diagram of the structure of the dynamic optimization system for recycled asphalt mixture proportions provided in the embodiments of this application; Figure 6 This is a schematic diagram of the second structure of the dynamic optimization device for recycled asphalt mixture proportions provided in the embodiments of this application. Detailed Implementation

[0014] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0015] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0016] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0017] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0018] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0019] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0020] In related technologies, traditional recycled asphalt mixture production mainly relies on pre-designed mix proportions in the laboratory and operator experience for production control. However, milled aggregates exhibit significant variability (such as moisture content, asphalt content, aging degree, and gradation composition). Fixed production formulas often face numerous problems in actual production. For example, fluctuations in the properties of milled aggregates can cause key indicators such as the asphalt-aggregate ratio and gradation of the final mixture to deviate from design values, affecting road performance. Furthermore, after quality deviations occur, it is usually necessary to stop production for sampling, laboratory testing, and manual formula adjustments, which results in a delayed response and material waste. Therefore, existing technologies lack a systematic solution that can perceive material status in real time on the production line, predict product quality in real time, and adjust the formula in a closed-loop manner in real time.

[0021] To address the aforementioned problems, this application provides a method for dynamically optimizing the mix proportion of recycled asphalt mixtures. In this method, firstly, a sample is taken from milled material, and the first asphalt-aggregate ratio of the sample milled material is detected. Secondly, a preset optimal asphalt-aggregate ratio is obtained. Then, based on the first asphalt-aggregate ratio and the optimal asphalt-aggregate ratio, the new aggregate content and the new asphalt content are determined. In this step, using the sample milled material as the main component, the required new aggregate content and new asphalt content to change the first asphalt-aggregate ratio of the sample milled material to the optimal asphalt-aggregate ratio are estimated, thus determining the initial new aggregate content and new asphalt content of the dynamic optimization system for the recycled asphalt mixture mix proportion. Next, based on the new aggregate content and new asphalt content, the sample milled material is recycled to obtain a sample recycled asphalt mixture, and then the first density and first isothermal viscosity of the sample recycled asphalt mixture are detected. In this step, new aggregate and new asphalt are added to the sample milled material to make it a sample recycled asphalt mixture with the optimal asphalt-aggregate ratio, and then the first density and first isothermal viscosity of the sample recycled asphalt mixture are detected. Subsequently, the milled material is recycled based on the new aggregate and asphalt content values ​​to obtain recycled asphalt mixture. Then, the second density and second isothermal viscosity of the recycled asphalt mixture are measured. In this step, the milled material undergoes the same recycling treatment with the new aggregate and asphalt content values ​​to obtain recycled asphalt mixture, and the second density and second isothermal viscosity of the recycled asphalt mixture are measured to determine its properties. Finally, when the absolute value of the difference between the first and second densities is greater than a first threshold, or the absolute value of the difference between the first and second isothermal viscosities is greater than a second threshold, a mix proportion optimization strategy is determined based on the differences between the first and second densities and the first and second isothermal viscosities. In this step, the first and second densities and the first and second isothermal viscosities are compared; when one of them is greater than a preset threshold, the mix proportion optimization strategy is determined based on the specific difference. In this method, a portion of the milled material samples are first subjected to a complete recycling process to achieve the optimal asphalt-aggregate ratio. Then, the remaining milled material is processed using the same recycling process. The density and constant-temperature viscosity of the two samples are compared to monitor the material state in real time. When the material state difference is too large, a mix proportion optimization strategy is generated to dynamically adjust the mix proportion formula. This method can solve the problem that existing technologies cannot dynamically adjust the mix proportion of recycled asphalt mixtures online in a timely manner.

[0022] The dynamic optimization method for recycled asphalt mixture proportions provided in this application embodiment can be applied to a dynamic optimization device for recycled asphalt mixture proportions. In this case, the dynamic optimization device for recycled asphalt mixture proportions is the executing entity of the dynamic optimization method for recycled asphalt mixture proportions provided in this application embodiment. This application embodiment does not impose any restrictions on the specific type of dynamic optimization device for recycled asphalt mixture proportions.

[0023] For example, a dynamic optimization device for recycled asphalt mixture proportions may include a first detection device, an input device, a quantitative feeding device, a mixing device, a second detection device, and a control device. The first detection device, input device, quantitative feeding device, and second detection device are communicatively connected to the control device. The first detection device may be a device that uses combustion or centrifugal extraction to detect the asphalt-aggregate ratio (e.g., a weighing platform and an acetylene torch; the weighing platform first detects the mass of the raw materials, and after the asphalt is burned away by the acetylene torch, the mass of the remaining material is detected again to obtain the asphalt-aggregate ratio). The input device may be a knob, button, keyboard, or operation panel, etc. The quantitative feeding device may include an asphalt quantitative supply device and an aggregate quantitative supply device. The asphalt quantitative supply device may include an asphalt flow regulating valve and an asphalt quantitative pump. The aggregate quantitative supply device may include an aggregate conveyor belt with an aggregate scale. The mixing device may be a hot mixing pot. The second detection device may include a densitometer and an asphalt viscometer. The second detection device is inserted into the recycled asphalt mixture. The control device can control the first detection device to detect the first asphalt-aggregate ratio of the milled sample, and can also obtain a preset optimal asphalt-aggregate ratio through the input device. It can also determine the new aggregate content and new asphalt content based on the first and optimal asphalt-aggregate ratios. Furthermore, it can control the quantitative feeding device and the mixing device to regenerate the milled material based on the new aggregate and asphalt content values ​​to obtain recycled asphalt mixtures. It can also control the second detection device to detect the density and isothermal viscosity of the recycled asphalt mixture, and can determine a mix proportion optimization strategy based on the difference between the first and second densities, and the difference between the first and second isothermal viscosities. The outlet of the quantitative feeding device is connected to the inlet of the mixing device.

[0024] The first structural schematic diagram of the equipment for dynamic optimization of recycled asphalt mixture proportions is shown below. Figure 2 As shown.

[0025] The control device can be a microcontroller, microprocessor, mobile phone, tablet computer, laptop computer, netbook, desktop computer, computer, laptop computer, etc.

[0026] To better understand the dynamic optimization method for recycled asphalt mixture proportions provided in the embodiments of this application, the specific implementation process of the dynamic optimization method for recycled asphalt mixture proportions provided in the embodiments of this application will be described by way of example below.

[0027] Figure 1 This paper presents a schematic flowchart of a method for dynamically optimizing the mix proportion of recycled asphalt mixtures according to an embodiment of this application. The method includes: S100, take a sample from the milled material and test the first oilstone ratio of the sample milled material.

[0028] It is understandable that sampling is performed on the milled material. The sampling method can be random sampling or stratified sampling. The obtained sample milled material is then tested for the asphalt-aggregate ratio in a first testing device. The asphalt-aggregate ratio testing method can be combustion method or centrifugal extraction method. The measured asphalt-aggregate ratio is the first asphalt-aggregate ratio of the sample milled material. The asphalt-aggregate ratio refers to the ratio of the mass of oily asphalt to the mass of aggregate in the material.

[0029] S200, obtain the preset optimal oilstone ratio.

[0030] It is understandable that the preset optimal asphalt-aggregate ratio is obtained through the input device. The optimal asphalt-aggregate ratio is obtained through the pre-mixing design in the laboratory before the production of recycled asphalt mixture. Specifically, this includes conducting Marshall tests, clarifying the road performance requirements, and selecting the optimal asphalt-aggregate ratio.

[0031] S300 determines the new aggregate content and new asphalt content based on the first asphalt-aggregate ratio and the optimal asphalt-aggregate ratio.

[0032] It is understandable that the first oil-stone ratio = (m1 oil is the mass of oily asphalt in a unit mass sample of milling material, and m1 stone is the mass of stone in a unit mass sample of milling material.) Optimal oil-stone ratio = (m2 oil is the mass of oily asphaltene per unit mass of ideal mix proportion material, m2 stone is the mass of stone per unit mass of ideal mix proportion material), when = When (mnew asphalt is the mass of new asphalt added to a unit mass of material, i.e., the new asphalt content value; mnew aggregate is the mass of new aggregate added to a unit mass of material, i.e., the new aggregate content value; the material refers to the sample milled material or other milled materials), the asphalt-aggregate ratio of the sample milled material becomes the optimal asphalt-aggregate ratio. Therefore, the new aggregate content value and the new asphalt content value are determined by the first asphalt-aggregate ratio and the optimal asphalt-aggregate ratio. Since there are infinitely many solutions for mnew asphalt and mnew aggregate, the value of mnew aggregate can be fixed in advance, and then the unique solution for mnew asphalt can be found. mnew aggregate can be fixed as m1 aggregate.

[0033] New aggregate refers to new stone material of the same type as the stone material in milling aggregate, and new asphalt refers to materials such as regenerators, modifiers, and brand-new asphalt used to revitalize aged asphalt.

[0034] This setup determines the initial amount of new aggregate and new asphalt to be added.

[0035] In one possible implementation, within S300, the new aggregate content and the new asphalt content are determined based on the first asphalt-aggregate ratio and the optimal asphalt-aggregate ratio, including: S310, determine the new asphalt content value based on the first difference between the optimal asphalt-aggregate ratio and the first asphalt-aggregate ratio. The new asphalt content value is equal to the first constant multiplied by the first difference.

[0036] It's understandable that the role of new asphalt is to revitalize the old asphalt in the milling aggregate. Therefore, the higher the degree of aging of the old asphalt, the greater the new asphalt content will be. The difference between the optimal asphalt-aggregate ratio and the first asphalt-aggregate ratio precisely represents the degree of aging of the old asphalt in the milling aggregate. Therefore, the new asphalt content is determined as the first constant multiplied by the first difference. The first constant is a constant greater than 1, and its specific value depends on the material of the new asphalt. If the new asphalt has a strong revitalizing ability, the first constant will be relatively small, and vice versa. The purpose is to revitalize the old asphalt to the preset asphalt properties. Therefore, when the material of the new asphalt, the milling aggregate, and the optimal asphalt-aggregate ratio are all determined, the first constant is also determined.

[0037] S320: The new aggregate content is determined based on the new asphalt content, the first asphalt-aggregate ratio, and the optimal asphalt-aggregate ratio. Among them, the asphalt-aggregate ratio of the milled material sample with added new asphalt and new aggregate is the optimal asphalt-aggregate ratio.

[0038] It is understandable that there are two purposes for adding new asphalt and new aggregate: one is to fully activate the old asphalt, and the other is to make the asphalt-aggregate ratio of the sample milled material the optimal asphalt-aggregate ratio.

[0039] When an appropriate amount of new asphalt is added to the sample milling material, the asphalt-aggregate ratio is optimized, i.e. (Z is the first difference, N is the new asphalt content per unit mass of milled material sample), after solving the equation, we get That is, when the new asphalt content equals the first difference × m1 stone, the milled sample can maintain the optimal asphalt-aggregate ratio without adding new aggregate, thus satisfying the second objective. However, to satisfy the first objective, it is necessary to continue adding new asphalt, and to maintain the second objective, it is also necessary to add a fixed proportion of new aggregate, which is the optimal asphalt-aggregate ratio. Therefore, the stage of adding new aggregate and new asphalt can be divided into two stages. The first stage is to add only the amount of new asphalt (first difference × m1 stone) to make the asphalt-aggregate ratio of the milled sample become the optimal asphalt-aggregate ratio. The second stage is to add new aggregate and new asphalt simultaneously at a fixed proportion of the optimal asphalt-aggregate ratio, so that the total amount of new asphalt added is the new asphalt content value obtained in step S310.

[0040] Therefore, the steps to determine the new aggregate content are: first, determine the new asphalt content in the first stage; then, subtract the new asphalt content from the new asphalt content to obtain the new asphalt content in the second stage; and finally, divide the new asphalt content in the second stage by the optimal asphalt-aggregate ratio to obtain the new aggregate content.

[0041] This setup sequentially determines the new asphalt content value, the first-stage new aggregate content value, the second-stage new aggregate content value, and the new aggregate content value, ensuring the rationality of the determined new aggregate content value and new asphalt content value.

[0042] Optionally, the method also includes: S330, the first grade of the milled material in the test sample.

[0043] It is understandable that the two most important indices in the mix design of asphalt mixtures are the optimal asphalt-aggregate ratio and aggregate gradation, and these two are closely related and complementary. Therefore, the first step is to determine the first gradation of the milled sample. The gradation can be determined by sieve analysis, and the determined first gradation can be a gradation curve or a discrete gradation array.

[0044] S340, the target gradation is calculated based on the optimal oil-aggregate ratio.

[0045] It is understandable that, given a relatively fixed aggregate gradation, the asphalt-aggregate ratio is the only factor affecting Marshall technical indicators such as void ratio and asphalt saturation. Therefore, based on the empirical formula for the optimal asphalt-aggregate ratio (Pa is the optimal asphalt-aggregate ratio, the aggregate void ratio of the asphalt mixture is generally taken as 12-15%, Va is the design void ratio of the asphalt mixture, specified as 3-5%, Ra is the relative density of the asphalt binder, i.e., the average density of the bond between old and new asphalt, Rsb is the average bulk relative density of the aggregate, where P1, P2, P3~Pn are the proportions of various aggregates, their sum is 100, and the corresponding bulk relative densities are R1, R2~Rn), and given the optimal asphalt-aggregate ratio, the target gradation can be deduced. In this application, Pa, VMA, and (VMA-Va)×Ra are all fixed, only Rsb is unknown. After calculating Rsb using the formula, the target gradation can be derived using the formula.

[0046] S350: Determine the gradation of the new aggregate based on the first gradation and the target gradation.

[0047] It can be understood that when both the first gradation and the target gradation are represented as gradation curves, the gradation curve of the new aggregate is the gradation curve of the target gradation minus the gradation curve of the first gradation, and the negative value region of the gradation curve of the new aggregate is set to zero. When both the first gradation and the target gradation are represented as discrete gradation arrays, the gradation array of the new aggregate is the gradation array of the target gradation minus the gradation array of the first gradation (array subtraction means subtracting each element in the array, i.e., a[i]-b[i], i=1, 2, ...n), and the negative value elements in the gradation array of the new aggregate are set to zero.

[0048] This design takes into account the gradation of the new aggregates, allowing the performance of the recycled asphalt mixture to better meet the requirements.

[0049] S400, based on the new aggregate content value and the new asphalt content value, the sample milled material is recycled to obtain the sample recycled asphalt mixture, and then the first density and the first constant temperature viscosity of the sample recycled asphalt mixture are tested.

[0050] It is understandable that, based on the new aggregate and new asphalt content values, the sample milled material undergoes recycling. Specifically, a quantitative feeding device supplies a fixed amount of new aggregate and new asphalt based on these values ​​(i.e., a fixed amount of new asphalt and new aggregate is added to each unit mass of milled material). A mixing device mixes the sample milled material, new aggregate, and new asphalt to create a sample recycled asphalt mixture with an optimal asphalt-aggregate ratio. Subsequently, a second testing device detects the first density and first isothermal viscosity of the sample recycled asphalt mixture. Isothermal viscosity refers to the viscosity at a specific temperature, i.e., the viscosity of a material excluding the influence of temperature.

[0051] This setup allows the properties of the mixture to be reflected by density and constant-temperature viscosity, eliminating the need for time-consuming oil-aggregate ratio testing, thus achieving the function of "sensing the state of materials".

[0052] S500 involves regenerating milled material based on new aggregate and asphalt content values ​​to obtain recycled asphalt mixture, followed by testing the second density and second isothermal viscosity of the recycled asphalt mixture.

[0053] It is understandable that, based on the new aggregate content and the new asphalt content, the remaining milled material is subjected to the same recycling process as in step S400 to obtain recycled asphalt mixture. Subsequently, the second density and the second isothermal viscosity of the recycled asphalt mixture are detected by the second testing device.

[0054] S600, when the absolute value of the difference between the first density and the second density is greater than the first threshold, or the absolute value of the difference between the first isothermal viscosity and the second isothermal viscosity is greater than the second threshold, a mix proportion optimization strategy is determined based on the difference between the first density and the second density, and the difference between the first isothermal viscosity and the second isothermal viscosity; wherein, the mix proportion optimization strategy is used to adjust the mix proportion of the recycled asphalt mixture.

[0055] It can be understood that both the first and second densities are the overall average densities of the asphalt mixture and aggregates. Since the asphalt mixture and aggregates are made of the same material, the only difference is their proportion (i.e., the asphalt-aggregate ratio). Therefore, when the absolute value of the difference between the first and second densities exceeds a first threshold, it means that the asphalt-aggregate ratio of the recycled asphalt mixture deviates significantly from the optimal ratio. If the difference between the first and second densities is positive, it means that the recycled asphalt mixture has a low proportion of aggregates and a higher asphalt-aggregate ratio than the optimal ratio. In this case, the mix design optimization strategy is to reduce the asphalt-aggregate ratio of the recycled asphalt mixture. Conversely, if the difference is negative, it means that the asphalt-aggregate ratio is lower than the optimal ratio, and the mix design optimization strategy is to increase the asphalt-aggregate ratio of the recycled asphalt mixture. (Increasing the asphalt-aggregate ratio of the recycled asphalt mixture means increasing the amount of new asphalt and / or decreasing the amount of new aggregates; decreasing the asphalt-aggregate ratio means decreasing the amount of new asphalt and / or increasing the amount of new aggregates.) The first and second isothermal viscosities are related to the degree of aging of the oily asphalt. The higher the degree of aging, the more viscous the asphalt. Therefore, when the absolute value of the difference between the first and second isothermal viscosities is greater than the second threshold, it means that the degree of aging of the oily asphalt in the recycled asphalt mixture is too high or too low (too low means that too much new asphalt has been added, resulting in excessive recycling agent). The mix design optimization strategy is to increase or decrease the content of new asphalt in the recycled asphalt mixture and add or decrease a fixed proportion of new aggregate to maintain the optimal asphalt-aggregate ratio. (Increasing the content of new asphalt in the recycled asphalt mixture means increasing the amount of new asphalt and new aggregate added proportionally; decreasing the content of new asphalt in the recycled asphalt mixture means decreasing the amount of new asphalt and new aggregate added proportionally. A proportional increase or decrease refers to increasing or decreasing the amount of new asphalt and new aggregate added while maintaining the optimal asphalt-aggregate ratio.) The mix design optimization strategy can be sent to a metering feeder, which dynamically adjusts the supply of new asphalt and new aggregates accordingly. Alternatively, the mix design optimization strategy can be sent to a new second metering feeder, which is located after the second testing device. The second metering feeder adds additional new aggregates and new asphalt to the recycled asphalt mixture according to the mix design optimization strategy.

[0056] This setup involves first performing a complete regeneration process on a portion of the sample milled material to achieve the optimal oil-aggregate ratio. Then, the remaining milled material is processed using the same regeneration procedure. This ensures that the sample and the remaining milled material share a common origin, minimizing the impact of material variability. Furthermore, the density and isothermal viscosity of the sample and the remaining milled material are compared. These easily measurable physical quantities allow for real-time monitoring of the material's state. When significant differences in material state occur, a mix design optimization strategy is generated to dynamically adjust the formula. This eliminates the need for machine shutdown and laboratory testing of the oil-aggregate ratio, enabling timely detection of the impact of milled material variability and the generation of corresponding mix design optimization strategies to counteract its effects.

[0057] In one possible implementation, in S600, a mix proportion optimization strategy is determined based on the difference between a first density and a second density, and the difference between a first isothermal viscosity and a second isothermal viscosity, including: S610, when the difference between the first density and the second density is greater than the first threshold, the mix proportion optimization strategy is to increase the content of new aggregate in the recycled asphalt mixture; when the difference between the first density and the second density is less than the first threshold, the mix proportion optimization strategy is to increase the content of new asphalt in the recycled asphalt mixture.

[0058] It is understandable that when the difference between the first density and the second density is greater than the first threshold, it means that the aggregate content of the recycled asphalt mixture is too low, resulting in low density. In other words, the asphalt-aggregate ratio of the recycled asphalt mixture is greater than the optimal asphalt-aggregate ratio. Therefore, the mix design optimization strategy is to reduce the asphalt-aggregate ratio of the recycled asphalt mixture, i.e., increase the amount of new aggregate in the recycled asphalt mixture. The increase is linearly related to the difference between the first density and the second density. Conversely, when the difference between the first density and the second density is less than the first threshold, it means that the aggregate content of the recycled asphalt mixture is too high, resulting in high density. In other words, the asphalt-aggregate ratio of the recycled asphalt mixture is smaller than the optimal asphalt-aggregate ratio. Therefore, the mix design optimization strategy is to increase the asphalt-aggregate ratio of the recycled asphalt mixture, i.e., increase the amount of new asphalt in the recycled asphalt mixture. The increase is negatively linearly related to the difference between the first density and the second density.

[0059] S620, when the difference between the first isothermal viscosity and the second isothermal viscosity is greater than the second threshold, the mix proportion optimization strategy is to increase the proportion of milled material in the recycled asphalt mixture; when the difference between the first isothermal viscosity and the second isothermal viscosity is less than the second threshold, the mix proportion optimization strategy is to reduce the proportion of milled material in the recycled asphalt mixture.

[0060] It is understandable that when the difference between the first and second isothermal viscosities is greater than the second threshold, it means the viscosity of the recycled asphalt mixture is too low. The mix design optimization strategy is to increase the proportion of milled aggregate in the recycled asphalt mixture. Increasing the proportion of milled aggregate can be achieved by reducing the proportion of new aggregate or new asphalt, or by adding additional milled aggregate. The amount of reducing the proportion of new aggregate and new asphalt, or adding additional milled aggregate, is linearly related to the difference between the first and second isothermal viscosities. Conversely, when the difference between the first and second isothermal viscosities is less than the second threshold, it means the viscosity of the recycled asphalt mixture is too high. The mix design optimization strategy is to reduce the proportion of milled aggregate in the recycled asphalt mixture. Reducing the proportion of milled aggregate can be achieved by increasing the proportion of new aggregate or new asphalt. The amount of increasing the proportion of new aggregate and new asphalt is linearly related to the difference between the first and second isothermal viscosities. It is important to note that when adding or reducing new aggregates and new asphalt, the optimal asphalt-aggregate ratio should be used as a fixed proportion, and the ratio should be increased or decreased proportionally to maintain the asphalt-aggregate ratio of the recycled asphalt mixture.

[0061] This setting enables the dynamic adjustment of the mixing ratio formula.

[0062] Optionally, the output of the recycled asphalt mixture mix proportion dynamic optimization equipment is equipped with a first additional mixing device, which receives the recycled asphalt mixture and mixes it; after determining the mix proportion optimization strategy, the method further includes: S630, according to the mix proportion optimization strategy, adjust the new aggregate content value and the new asphalt content value; the first additional mixing device can at least accommodate all the recycled asphalt mixtures in the recycled asphalt mixture mix proportion dynamic optimization equipment, and the recycled asphalt mixture mix proportion dynamic optimization equipment stops when the first additional mixing device is fully loaded.

[0063] It is understandable that a first additional mixing device is set up at the output of the recycled asphalt mixture mix proportion dynamic optimization equipment. This first additional mixing device can be a hot mixing pot, and it is communicatively connected to the control device. The specific structure is as follows: Figure 3 As shown.

[0064] Upon receiving the mix proportion optimization strategy, the quantitative feeding device immediately adjusts the new aggregate and asphalt content values. However, due to the spatial distance between the quantitative feeding device and the second detection device, the steps of "detecting the material state" and "adjusting the mix proportion based on the material state" are spatially misaligned (i.e., the material state is measured at one spatial point, while the dynamic mix proportion adjustment is performed at another). Therefore, using a large-capacity first additional mixing device to mix the recycled asphalt mixture from both spatial points can resolve this misalignment issue, providing a basis for "detecting the material state" and "adjusting the mix proportion based on the material state." It should be noted that the volume of the first additional mixing device must be large enough to accommodate all the recycled asphalt mixture within the recycled asphalt mixture dynamic mix proportion optimization equipment; otherwise, production efficiency will be reduced.

[0065] This setup achieves the two steps of "detecting material status" and "adjusting the mix proportion according to the material status" through a simple structure. It has the advantages of being simple and highly feasible. The disadvantage is that when the first additional mixing device is fully loaded, the entire recycled asphalt mixture mix proportion dynamic optimization equipment needs to be shut down and wait.

[0066] Optionally, the output of the recycled asphalt mixture mix proportion dynamic optimization equipment is equipped with a second quantitative feeding device and a second additional mixing device. The second quantitative feeding device is used to add new aggregates and new asphalt, and the second additional mixing device is used to locally mix the recycled asphalt mixture with the newly added aggregates and new asphalt. After determining the mix proportion optimization strategy, the method further includes: S640, based on the mix ratio optimization strategy, determines the amount of new aggregate and new asphalt to be added to the second quantitative feeding device.

[0067] It is understood that a second quantitative feeding device and a second additional mixing device are set up at the output of the recycled asphalt mixture mix proportion dynamic optimization equipment. The second quantitative feeding device can be the same as the quantitative feeding device, and the second additional mixing device can be a hot mixing tank with simultaneous inflow and outflow. The second quantitative feeding device is communicatively connected to the control device. The specific structure is as follows: Figure 4 As shown.

[0068] Upon receiving the data according to the mix design optimization strategy, the second quantitative feeding device immediately determines the amount of new aggregate and new asphalt to be added and adds them. Subsequently, the second additional mixing device mixes the recycled asphalt mixture, new aggregate, and new asphalt evenly. Because there is no spatial gap between the second detection device and the second quantitative feeding device, there is no need for a large mixing pot to solve the misalignment problem between the two spatial points in step S630. Therefore, there is no need to stop the machine, and the recycled asphalt mixture can be produced continuously.

[0069] This setup enables the two steps of "detecting material condition" and "adjusting the mix proportion according to material condition," and allows for the continuous production of recycled asphalt mixtures.

[0070] Optionally, the method also includes: S710, the milling material is resampled at fixed intervals to obtain sample milling material, and the first oilstone ratio of the sample milling material is re-detected.

[0071] It is understandable that the milling material is resampled at fixed intervals to obtain sample milling material, and the same operation as step S100 is performed to obtain a new first oilstone ratio.

[0072] With this setup, the properties of the milled material will change when the recycled asphalt mixture mix ratio dynamic optimization equipment works for a long time. Therefore, updating the first asphalt-aggregate ratio at fixed intervals can improve the practicality of this method.

[0073] Optionally, the method also includes: S720, when a new optimal asphalt-aggregate ratio is detected, stops the supply of milling material, new aggregate and new asphalt, and restarts the system with the new optimal asphalt-aggregate ratio as the optimal asphalt-aggregate ratio after all materials in the recycled asphalt mixture mix dynamic optimization equipment are emptied.

[0074] It is understandable that the materials in the mixing device need to be mixed for a long time. When the optimal asphalt-aggregate ratio is updated, if the supply of milling material, new aggregate, and new asphalt is not stopped, the materials of the two optimal asphalt-aggregate ratios will be mixed together in the mixing device, resulting in waste. Therefore, when the new optimal asphalt-aggregate ratio is detected, the supply of milling material, new aggregate, and new asphalt is stopped, and the device is restarted with the new optimal asphalt-aggregate ratio when all the materials in the recycled asphalt mixture mix ratio dynamic optimization equipment are emptied.

[0075] This setting prevents material waste when updating to the optimal oilstone ratio.

[0076] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0077] Corresponding to the dynamic optimization method for recycled asphalt mixture proportions described in the above embodiments, this application also provides a dynamic optimization system for recycled asphalt mixture proportions. Each unit of this device can realize each step of the dynamic optimization method for recycled asphalt mixture proportions. Figure 5 The diagram shows a structural block diagram of the dynamic optimization system for recycled asphalt mixture proportions provided in the embodiments of this application. For ease of explanation, only the parts related to the embodiments of this application are shown.

[0078] Reference Figure 5 The system includes: The sampling unit is used to sample the milled material and detect the first oilstone ratio of the sample milled material; Input unit, obtain the preset optimal oil-stone ratio; The calculation unit is used to determine the new aggregate content and the new asphalt content based on the first asphalt-aggregate ratio and the optimal asphalt-aggregate ratio. The first mixing and testing unit is used to regenerate the sample milled material based on the new aggregate content value and the new asphalt content value to obtain the sample recycled asphalt mixture, and then test the first density and the first constant temperature viscosity of the sample recycled asphalt mixture. The second mixing and testing unit is used to regenerate the milled material based on the new aggregate content value and the new asphalt content value to obtain recycled asphalt mixture, and then test the second density and second isothermal viscosity of the recycled asphalt mixture. The dynamic optimization unit is used to determine a mix proportion optimization strategy based on the difference between the first density and the second density, and the difference between the first isothermal viscosity and the second isothermal viscosity, when the absolute value of the difference between the first density and the second density is greater than a first threshold, or the absolute value of the difference between the first isothermal viscosity and the second isothermal viscosity is greater than a second threshold; wherein, the mix proportion optimization strategy is used to adjust the mix proportion of the recycled asphalt mixture, so that the second density and the second isothermal viscosity are within a suitable range.

[0079] It should be noted that the information interaction and execution process between the above-mentioned units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0080] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units is used as an example. In practical applications, the above functions can be assigned to different functional units as needed, that is, the internal structure of the device can be divided into different functional units to complete all or part of the functions described above. The functional units in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0081] This application also provides a device for dynamically optimizing the mix proportions of recycled asphalt mixtures. Figure 6This is a schematic diagram of the second structure of a device for dynamically optimizing the mix proportion of recycled asphalt mixtures according to an embodiment of this application. Figure 6 As shown, the control device 7 of the dynamic optimization equipment for recycled asphalt mixture proportions in this embodiment includes: at least one processor 70 ( Figure 6 Only one is shown in the image), at least one memory 71 ( Figure 6 (Only one is shown in the image) and a computer program 72 stored in the at least one memory 71 and executable on the at least one processor 70. When the processor 70 executes the computer program 72, it causes the control device 7 of the recycled asphalt mixture dynamic optimization equipment to perform the steps in any of the above embodiments of the recycled asphalt mixture dynamic optimization method, or causes the control device 7 of the recycled asphalt mixture dynamic optimization equipment to perform the functions of each unit in the above embodiments of the device.

[0082] Exemplarily, the computer program 72 may be divided into one or more units, which are stored in the memory 71 and executed by the processor 70 to complete this application. The one or more units may be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program 72 in the control device 7 of the recycled asphalt mixture mix proportion dynamic optimization equipment.

[0083] The control device 7 of the recycled asphalt mixture dynamic optimization equipment can be a microcontroller, microprocessor, mobile phone, tablet computer, wearable device, vehicle-mounted device, laptop computer, ultra-mobile personal computer (UMPC), netbook, personal digital assistant (PDA), desktop computer, smart screen, smart TV, or handheld device with wireless communication function. The control device 7 of the recycled asphalt mixture dynamic optimization equipment may include, but is not limited to, a processor 70 and a memory 71. Those skilled in the art will understand that... Figure 6 This is merely an example of the control device 7 for the dynamic optimization equipment of recycled asphalt mixture proportions, and does not constitute a limitation on the control device 7 of the dynamic optimization equipment of recycled asphalt mixture proportions. It may include more or fewer components than shown in the figure, or combine certain components, or different components, such as input / output devices, network access devices, buses, etc.

[0084] The processor 70 can be a Central Processing Unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0085] In some embodiments, the memory 71 may be an internal storage unit of the control device 7 of the recycled asphalt mixture mix proportion dynamic optimization equipment, such as a hard disk or memory of the control device 7. In other embodiments, the memory 71 may be an external storage device of the control device 7, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the control device 7. Further, the memory 71 may include both internal and external storage units of the control device 7. The memory 71 is used to store the operating system, application programs, bootloader, data, and other programs, such as the program code of the computer program. The memory 71 can also be used to temporarily store data that has been output or will be output.

[0086] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in any of the above method embodiments.

[0087] This application provides a computer program product that, when run on a dynamic optimization device for recycled asphalt mixture proportions, enables the device to implement the steps described in any of the above method embodiments.

[0088] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying the computer program code to a device for dynamically optimizing the mix proportions of recycled asphalt mixtures, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, such as a USB flash drive, a portable hard drive, a magnetic disk, or an optical disk.

[0089] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0090] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0091] In the embodiments provided in this application, it should be understood that the disclosed method, system, and equipment for dynamic optimization of recycled asphalt mixture mix proportions can be implemented in other ways. For example, the embodiments of the method, system, and equipment for dynamic optimization of recycled asphalt mixture mix proportions described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be indirect couplings or communication connections through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0092] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0093] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for dynamic optimization of the mix proportion of recycled asphalt mixtures, characterized in that, The method, applied to a dynamic optimization device for the mix proportions of recycled asphalt mixtures, includes: Samples were taken from the milled material, and the first oilstone ratio of the sample milled material was tested; Obtain the preset optimal oilstone ratio; Based on the first asphalt-aggregate ratio and the optimal asphalt-aggregate ratio, determine the new aggregate content and the new asphalt content. Based on the new aggregate content value and the new asphalt content value, the sample milled material is recycled to obtain a sample recycled asphalt mixture, and then the first density and first isothermal viscosity of the sample recycled asphalt mixture are tested. Based on the new aggregate content value and the new asphalt content value, the milled material is recycled to obtain recycled asphalt mixture, and then the second density and second isothermal viscosity of the recycled asphalt mixture are tested. When the absolute value of the difference between the first density and the second density is greater than a first threshold, or the absolute value of the difference between the first isothermal viscosity and the second isothermal viscosity is greater than a second threshold, a mix proportion optimization strategy is determined based on the difference between the first density and the second density, and the difference between the first isothermal viscosity and the second isothermal viscosity; wherein, the mix proportion optimization strategy is used to adjust the mix proportion of the recycled asphalt mixture.

2. The method for dynamic optimization of recycled asphalt mixture proportions as described in claim 1, characterized in that, The step of determining the new aggregate content and the new asphalt content based on the first asphalt-aggregate ratio and the optimal asphalt-aggregate ratio includes: The new asphalt content value is determined based on the first difference between the optimal asphalt-aggregate ratio and the first asphalt-aggregate ratio; wherein the new asphalt content value is equal to a first constant multiplied by the first difference. The new aggregate content is determined based on the new asphalt content, the first asphalt-aggregate ratio, and the optimal asphalt-aggregate ratio; wherein the asphalt-aggregate ratio of the sample milled material containing the new asphalt and the new aggregate is the optimal asphalt-aggregate ratio.

3. The method for dynamic optimization of recycled asphalt mixture proportions as described in claim 2, characterized in that, The method further includes: Detect the first gradation of the sample milled material; The target gradation is calculated based on the optimal oil-aggregate ratio. The gradation of the new aggregate is determined based on the first gradation and the target gradation.

4. The method for dynamic optimization of recycled asphalt mixture proportions as described in claim 1, characterized in that, The strategy for determining the mix proportion optimization based on the difference between the first density and the second density, and the difference between the first isothermal viscosity and the second isothermal viscosity, includes: When the difference between the first density and the second density is greater than the first threshold, the mix proportion optimization strategy is to increase the content of new aggregate in the recycled asphalt mixture; when the difference between the first density and the second density is less than the first threshold, the mix proportion optimization strategy is to increase the content of new asphalt in the recycled asphalt mixture. When the difference between the first isothermal viscosity and the second isothermal viscosity is greater than the second threshold, the mix proportion optimization strategy is to increase the proportion of milled material in the recycled asphalt mixture; when the difference between the first isothermal viscosity and the second isothermal viscosity is less than the second threshold, the mix proportion optimization strategy is to decrease the proportion of milled material in the recycled asphalt mixture.

5. The method for dynamic optimization of recycled asphalt mixture proportions as described in claim 1, characterized in that, The output of the recycled asphalt mixture dynamic optimization equipment is equipped with a first additional mixing device, which receives the recycled asphalt mixture and mixes it; after determining the mix proportion optimization strategy, the method further includes: According to the mix proportion optimization strategy, the new aggregate content value and the new asphalt content value are adjusted; the first additional mixing device can at least accommodate all the recycled asphalt mixtures in the recycled asphalt mixture mix proportion dynamic optimization equipment, and the recycled asphalt mixture mix proportion dynamic optimization equipment is shut down when the first additional mixing device is fully loaded.

6. The method for dynamic optimization of recycled asphalt mixture proportions as described in claim 1, characterized in that, The output of the recycled asphalt mixture dynamic optimization equipment is equipped with a second quantitative feeding device and a second additional mixing device. The second quantitative feeding device is used to add new aggregates and new asphalt, and the second additional mixing device is used to locally mix the recycled asphalt mixture with the newly added aggregates and new asphalt. After determining the optimal mix design strategy, the method also includes: Based on the aforementioned mix ratio optimization strategy, the amount of new aggregate and new asphalt added to the second quantitative feeding device is determined.

7. The method for dynamic optimization of recycled asphalt mixture proportions as described in claim 1, characterized in that, The method further includes: At fixed intervals, the milling material is resampled to obtain sample milling material, and the first oilstone ratio of the sample milling material is re-detected.

8. The method for dynamic optimization of the mix proportion of recycled asphalt mixture as described in claim 1, characterized in that, The method further includes: When a new optimal asphalt-aggregate ratio is detected, the supply of milling material, new aggregate, and new asphalt is stopped, and the system restarts with the new optimal asphalt-aggregate ratio as the optimal asphalt-aggregate ratio after all materials in the recycled asphalt mixture mix ratio dynamic optimization equipment have been emptied.

9. A dynamic optimization system for the mix proportion of recycled asphalt mixtures, characterized in that, A system for dynamically optimizing the mix proportions of recycled asphalt mixtures includes: The sampling unit is used to sample the milled material and detect the first oilstone ratio of the sample milled material; The input unit is used to obtain the preset optimal oil-stone ratio; The calculation unit is used to determine the new aggregate content value and the new asphalt content value based on the first asphalt-aggregate ratio and the optimal asphalt-aggregate ratio. The first mixing and testing unit is used to regenerate the sample milled material based on the new aggregate content value and the new asphalt content value to obtain the sample recycled asphalt mixture, and then test the first density and first constant temperature viscosity of the sample recycled asphalt mixture. The second mixing and testing unit is used to regenerate the milled material based on the new aggregate content value and the new asphalt content value to obtain a recycled asphalt mixture, and then test the second density and second isothermal viscosity of the recycled asphalt mixture. A dynamic optimization unit is used to determine a mix proportion optimization strategy based on the difference between the first density and the second density, and the difference between the first isothermal viscosity and the second isothermal viscosity, when the absolute value of the difference between the first density and the second density is greater than a first threshold, or the absolute value of the difference between the first isothermal viscosity and the second isothermal viscosity is greater than a second threshold; wherein, the mix proportion optimization strategy is used to adjust the mix proportion of the recycled asphalt mixture.

10. A device for dynamically optimizing the mix proportions of recycled asphalt mixtures, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1 to 8.

Images