Milling and grinding material screening method based on gradation adjustment and optimization

Abstract

The application belongs to the technical field of milling and screening material screening and crushing, and particularly relates to a milling and screening material screening and crushing method based on grading adjustment and optimization, which comprises the following steps: obtaining a target grading set by a user; detecting an initial grading of the milling and screening material; determining a crushing strategy and a screening strategy according to the target grading and the initial grading; crushing the milling and screening material for multiple crushing passes according to the crushing strategy, and screening qualified particles after each crushing pass according to a screening pass of the screening strategy, so as to obtain multiple piles of crushed materials with different particle sizes after all the crushing passes and screening passes are completed; obtaining an adjustment strategy according to the target grading, and adjusting the crushed materials with different particle sizes and new aggregate into a target mixture according to the adjustment strategy; detecting a first grading of the target mixture, and adjusting the crushing strategy, the screening strategy and the adjustment strategy according to the difference between the first grading and the target grading, so as to reduce the difference between the first grading and the target grading. The method can solve the problem that the grading of the regenerated material of the milling and screening material is difficult to control in the prior art.

Description

Technical Field

[0001] This application belongs to the field of milling material screening and crushing technology, and particularly relates to a milling material screening and crushing method based on gradation adjustment and optimization. Background Technology

[0002] Milled aggregate is an asphalt-aggregate mixture scraped off damaged asphalt-sand pavement using a milling machine. The old aggregate and asphalt in it have high recycling value. Therefore, in order to make full use of milled aggregate, it must first be crushed and screened to process it into particles of appropriate size, so as to improve the recycling rate of milled aggregate.

[0003] Grading refers to the distribution of particles of different sizes in aggregates. Grading plays a decisive role in the physical and mechanical properties of aggregates.

[0004] In existing milling material screening and crushing methods, the milling material is often fed into a fixed screening and crushing step, which causes the old aggregate in the milling material to be crushed into particles of random size (the particle size of the crushed material is affected by the crushing particle size during the crushing process). This not only reduces the integrity of the old aggregate in the milling material, but also makes it more difficult to adjust the gradation due to the random particle size, resulting in difficulty in controlling the gradation of the recycled milling material. Summary of the Invention

[0005] This application provides a method for screening and crushing milled material based on gradation adjustment and optimization, which can solve the problem of difficulty in controlling the gradation of recycled milled material in the prior art.

[0006] In a first aspect, embodiments of this application provide a method for screening and crushing milled materials based on gradation adjustment and optimization, the method comprising: Obtain the target level set by the user; The initial gradation of the milled material is detected; wherein the target gradation and the initial gradation use the same particle size classification rule; Based on the target gradation and the initial gradation, a crushing strategy and a screening strategy are determined; wherein, the crushing strategy includes multiple crushing passes with different crushing particle sizes, and the screening strategy includes multiple screening passes with different screening particle sizes. The milling material is subjected to multiple crushing passes according to the crushing strategy, and qualified particles are screened out according to the screening pass of the screening strategy after each crushing pass. After completing all crushing and screening passes, multiple piles of crushed material with different particle sizes are obtained. Based on the target gradation, a blending strategy is obtained, and crushed materials and new aggregates of different particle sizes are blended into the target mixture according to the blending strategy. The first gradation of the target mixture is detected, and the crushing strategy, screening strategy, and blending strategy are adjusted according to the difference between the first gradation and the target gradation to reduce the gap between the first gradation and the target gradation.

[0007] The technical solutions described in this application embodiment have at least the following technical effects: The milling material screening and crushing method based on gradation adjustment and optimization provided in this application first obtains the user-defined target gradation. This step determines the user-desired target gradation. Second, the initial gradation of the milling material is detected. This step further determines the initial gradation of the milling material. Subsequently, based on the target gradation and the initial gradation, a crushing strategy and a screening strategy are determined. This step considers both the target gradation and the initial gradation to obtain the crushing and screening strategies. The crushing strategy includes multiple crushing passes with different crushing particle sizes, and the screening strategy includes multiple screening passes with different screening particle sizes, enabling the milling material to be crushed and screened into particles of specific sizes suitable for the target gradation. Subsequently, the milled material is subjected to multiple crushing passes according to the crushing strategy. After each crushing pass, qualified particles are screened out according to the screening strategy. After completing all crushing and screening passes, multiple piles of crushed material with different particle sizes are obtained. In this step, the process of first crushing the milled material and then screening it is repeated until all crushing and screening passes are completed, resulting in multiple piles of crushed material with different particle sizes. Then, based on the target gradation, a blending strategy is obtained, and the crushed material with different particle sizes and new aggregate are blended into a target mixture according to the blending strategy. In this step, the crushed material and new aggregate are blended into a target mixture, which is a mixture blended with a target gradation as the goal. This can solve the problem of difficulty in controlling the gradation of recycled milled material in the existing technology. Finally, the first gradation of the target mixture is tested. Based on the difference between the first gradation and the target gradation, the crushing strategy, screening strategy, and blending strategy are adjusted to narrow the gap between the first gradation and the target gradation. In this step, the first gradation of the target mixture is tested again, and the crushing strategy, screening strategy, and blending strategy are adjusted to narrow the gap between the first gradation and the target gradation. This can solve the blending, crushing, or screening error problems existing in each step of this method, and can further optimize the gradation of the produced target mixture. In this method, a preliminary crushing and screening strategy is first determined based on the user-defined target gradation and the initial gradation of the milled material. After passing through the crushing and screening strategies, the milled material becomes multiple piles of crushed material with different particle sizes. These multiple piles of crushed material with different particle sizes are then blended with new aggregate to form the target mixture. The difference between the first gradation and the target gradation of the target mixture is then compared, and the crushing, screening, and blending strategies are adjusted accordingly to dynamically reduce the difference between the first gradation and the target gradation. This can further optimize the gradation of the produced target mixture and also solve the problem of difficulty in controlling the gradation of recycled milled material in existing technologies.

[0008] Secondly, embodiments of this application provide a milling material screening and crushing device based on gradation adjustment and optimization, the device comprising: The target gradation acquisition unit is used to acquire the target gradation set by the user. A gradation detection unit is used to detect the initial gradation of milled material; wherein the target gradation and the initial gradation use the same particle size classification rule; A crushing strategy and screening strategy determination unit is used to determine a crushing strategy and a screening strategy based on the target gradation and the initial gradation; wherein, the crushing strategy includes multiple crushing passes with different crushing particle sizes, and the screening strategy includes multiple screening passes with different screening particle sizes. The crushing and screening unit is used to crush the milled material multiple times according to the crushing strategy, and after each crushing pass, qualified particles are screened out according to the screening pass of the screening strategy. After completing all crushing and screening passes, multiple piles of crushed material with different particle sizes are obtained. The blending unit is used to obtain a blending strategy based on the target gradation, and to blend crushed materials and new aggregates of different particle sizes into a target mixture according to the blending strategy. The feedback unit is used to detect the first gradation of the target mixture, and adjust the crushing strategy, the screening strategy and the blending strategy according to the difference between the first gradation and the target gradation, so as to reduce the gap between the first gradation and the target gradation.

[0009] Thirdly, embodiments of this application provide a milling material screening and crushing device based on gradation adjustment and optimization, 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.

[0010] 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.

[0011] Fifthly, embodiments of this application provide a computer program product that, when running on a milling material screening and crushing device based on gradation adjustment and optimization, causes the milling material screening and crushing device based on gradation adjustment and optimization to perform the milling material screening and crushing method based on gradation adjustment and optimization described in any one of the first aspects.

[0012] 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

[0013] 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.

[0014] Figure 1 This is a schematic flowchart of a milling material screening and crushing method based on gradation adjustment and optimization provided in an embodiment of this application; Figure 2 This is a flowchart illustrating a milling material screening and crushing method based on gradation adjustment and optimization provided in an embodiment of this application, as well as its application scenario. Figure 3 This is an example diagram of the hierarchical subdivision method in step S720 of one embodiment of this application; Figure 4 This is a schematic diagram of the structure of the milling material screening and crushing device based on gradation adjustment and optimization provided in the embodiments of this application; Figure 5 This is a schematic diagram of the structure of the milling material screening and crushing equipment based on gradation adjustment and optimization provided in the embodiments of this application. Detailed Implementation

[0015] 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.

[0016] 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.

[0017] 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.

[0018] 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]."

[0019] 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.

[0020] 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.

[0021] In related technologies, milled aggregate is an asphalt-aggregate mixture scraped off damaged asphalt-sand pavement using a milling machine. The old aggregate and asphalt in this mixture have high recycling value. Therefore, to fully utilize milled aggregate, it must first be crushed and screened to process it into appropriately sized particles, thereby improving the recycling rate of the milled aggregate. Grading refers to the distribution of aggregate particles of various sizes, and gradation plays a decisive role in the physical and mechanical properties of the aggregate. Existing milled aggregate screening and crushing methods often involve feeding the milled aggregate into fixed screening and crushing steps, causing the old aggregate in the milled aggregate to be crushed into particles of random sizes (affected by the crushing particle size during the crushing process). This not only reduces the integrity of the old aggregate in the milled aggregate but also increases the difficulty of adjusting the gradation due to the random particle size, making it difficult to control the gradation of the recycled milled aggregate.

[0022] To address the aforementioned problems, this application provides a method for screening and crushing milling material based on gradation adjustment and optimization. In this method, firstly, a user-defined target gradation is obtained; this step determines the user-desired target gradation. Secondly, the initial gradation of the milling material is detected; this step further determines the initial gradation of the milling material. Subsequently, based on the target gradation and the initial gradation, a crushing strategy and a screening strategy are determined. This step considers both the target gradation and the initial gradation to obtain the crushing and screening strategies. The crushing strategy includes multiple crushing passes with different crushing particle sizes, and the screening strategy includes multiple screening passes with different screening particle sizes, enabling the milling material to be crushed and screened into particles of specific sizes suitable for the target gradation. Subsequently, the milled material is subjected to multiple crushing passes according to the crushing strategy. After each crushing pass, qualified particles are screened out according to the screening strategy. After completing all crushing and screening passes, multiple piles of crushed material with different particle sizes are obtained. In this step, the process of first crushing the milled material and then screening it is repeated until all crushing and screening passes are completed, resulting in multiple piles of crushed material with different particle sizes. Then, based on the target gradation, a blending strategy is obtained, and the crushed material with different particle sizes and new aggregate are blended into a target mixture according to the blending strategy. In this step, the crushed material and new aggregate are blended into a target mixture, which is a mixture blended with a target gradation as the goal. This can solve the problem of difficulty in controlling the gradation of recycled milled material in the existing technology. Finally, the first gradation of the target mixture is tested. Based on the difference between the first gradation and the target gradation, the crushing strategy, screening strategy, and blending strategy are adjusted to narrow the gap between the first gradation and the target gradation. In this step, the first gradation of the target mixture is tested again, and the crushing strategy, screening strategy, and blending strategy are adjusted to narrow the gap between the first gradation and the target gradation. This can solve the blending, crushing, or screening error problems existing in each step of this method, and can further optimize the gradation of the produced target mixture. In this method, a preliminary crushing and screening strategy is first determined based on the user-defined target gradation and the initial gradation of the milled material. After passing through the crushing and screening strategies, the milled material becomes multiple piles of crushed material with different particle sizes. These multiple piles of crushed material with different particle sizes are then blended with new aggregate to form the target mixture. The difference between the first gradation and the target gradation of the target mixture is then compared, and the crushing, screening, and blending strategies are adjusted accordingly to dynamically reduce the difference between the first gradation and the target gradation. This can further optimize the gradation of the produced target mixture and also solve the problem of difficulty in controlling the gradation of recycled milled material in existing technologies.

[0023] The milling material screening and crushing method based on gradation adjustment and optimization provided in this application embodiment can be applied to milling material screening and crushing equipment based on gradation adjustment and optimization. In this case, the milling material screening and crushing equipment based on gradation adjustment and optimization is the main body for executing the milling material screening and crushing method based on gradation adjustment and optimization provided in this application embodiment. This application embodiment does not impose any restrictions on the specific type of milling material screening and crushing equipment based on gradation adjustment and optimization.

[0024] For example, a milling material screening and crushing equipment based on gradation adjustment and optimization may include a receiving device, a detection device, a crushing and screening device, a blending device, and a control device. The control device is communicatively connected to the receiving device, the detection device, and the crushing and screening device. The receiving device may be a WIFI module or a Bluetooth module. The detection device may be a complete set of detection equipment for extraction experiments. The crushing and screening device may be an integrated crushing and screening device with adjustable crushing particle size and adjustable screening particle size, or two separate crushing, screening, and blending devices. The blending device may be a feeder and a mixer capable of taking a preset mass of material. The control device controls the receiving device to acquire the user-defined target gradation, then controls the detection device to detect the initial gradation of the milled material. Next, based on the target and initial gradations, the control device determines the crushing and screening strategies. Subsequently, it controls the crushing and screening devices to crush and screen the material at different particle sizes, resulting in multiple piles of crushed material with different particle sizes. Then, it controls the blending device to blend crushed material or new aggregate of a specific particle size to obtain the target mixture. Finally, it controls the detection device to detect the first gradation of the target mixture, and adjusts the crushing, screening, and blending strategies based on the difference between the first and target gradations. The feed inlet of the blending device is physically connected to the discharge outlet of the crushing and screening device.

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

[0026] To better understand the milling material screening and crushing method based on gradation adjustment and optimization provided in the embodiments of this application, the specific implementation process of the milling material screening and crushing method based on gradation adjustment and optimization provided in the embodiments of this application will be described by way of example below.

[0027] Figure 1 The illustration shows a schematic flowchart of a milling material screening and crushing method based on gradation adjustment and optimization provided in an embodiment of this application. The milling material screening and crushing method based on gradation adjustment and optimization includes: S100, obtain the target level set by the user.

[0028] It is understandable that the receiving device receives the target gradation set by the user. The target gradation refers to the gradation expected by the user. The target gradation includes particles of multiple levels and specifically records the particle size range and mass percentage of these levels of particles.

[0029] This setup sets a target for subsequent steps in adjusting the gradation.

[0030] S200, checks the initial gradation of milled material. The target gradation and initial gradation use the same particle size classification rules.

[0031] It can be understood that the target gradation is the endpoint of gradation adjustment, while the initial gradation of the milled material is the starting point for gradation adjustment. The initial gradation of the milled material is detected by a testing device, which can be a complete set of testing equipment for extraction experiments. Specifically, after removing the asphaltene from the milled material, the remaining aggregate is graded and sieved, and the mass percentage of each grade of aggregate is measured to obtain the initial gradation of the milled material. Moreover, the initial gradation and the target gradation use the same particle size grading rules.

[0032] For example, the gradation can include four grades: 0.1mm-1mm, 1mm-5mm, 5mm-10mm, and 10mm-25mm (or other more subdivided grades). The mass percentage of particles in each of these four grades is then measured as X1, X2, X3, and X4 (X1+X2+X3+X4=1).

[0033] This setting determines the initial values ​​for subsequent steps of adjusting the gradation.

[0034] Optionally, after step S200, the method further includes: S210, calculate the similarity between the initial gradation and the target gradation.

[0035] It is understandable that the initial and target gradations use the same particle size classification rules. Under the same rules, the mass percentage of particles in each gradation level is compared between the initial and target gradations. A[n] = {A1, ..., An} represents the mass percentage of particles in each gradation level of the initial gradation, and B[n] = {B1, ..., Bn} represents the mass percentage of particles in each gradation level of the target gradation. This method uses the reciprocal of the Manhattan distance as the similarity between A[n] and B[n]. The similarity is calculated as: , The similarity is less than +∞, and the greater the similarity, the more similar the two arrays are.

[0036] This setting can effectively represent the similarity between the initial gradation and the target gradation.

[0037] S220, when the similarity is less than the third threshold, a warning signal is sent and the method execution is suspended. The warning signal is used to alert the operator that the difference between the target gradation and the gradation of the milled material is too large.

[0038] It is understandable that when the initial gradation and the target gradation are too far apart, it means that it will be too difficult to adjust from the initial gradation to the target gradation, and it will also exacerbate the problem of over-crushing of old aggregates. Therefore, a third threshold is set. When the similarity is less than the third threshold, it means that the initial gradation and the target gradation are too far apart. At this time, a warning signal is sent to the user terminal. The warning signal is used to warn the operator that the difference between the target gradation and the gradation of the milled material is too large.

[0039] This setting provides a warning when the initial and target gradations differ significantly, preventing users from directly selecting the target gradation with such a large discrepancy.

[0040] S230: Wait for and receive a new target profile set by the user or an instruction to ignore warnings. When a new target profile is received, replace the target profile with the new target profile and continue executing this method; when an instruction to ignore warnings is received, continue executing this method.

[0041] It is understandable that after sending a warning signal to the user terminal, the system waits for and receives feedback signals from the user. The feedback signals include the new target gradation set by the user and the instruction to ignore the warning. When a new target gradation is received, the new target gradation is used to replace the target gradation and the method continues to be executed. When an instruction to ignore the warning is received, the method continues to be executed, ignoring the case where the initial gradation and the target gradation are too different.

[0042] This configuration improves the handling logic for situations where the initial gradation and the target gradation differ too much, thus enhancing the practicality of this method.

[0043] S300: Based on the target gradation and initial gradation, determine the crushing strategy and screening strategy. The crushing strategy includes multiple crushing passes with different crushing particle sizes, and the screening strategy includes multiple screening passes with different screening particle sizes.

[0044] It is understandable that the crushing process can only reduce the particle size. Therefore, we start from the largest particle size level in the initial gradation and gradually determine the crushing and screening strategies. First, we identify the largest particle size level in the initial gradation by mass, called the first particle size level. Second, we identify the particle size levels in the target gradation that have a smaller mass percentage than the first particle size level. We use the upper limit of the particle size of these smaller particle size levels as the crushing particle size and set one crushing pass for each, thus obtaining the crushing strategy. The screening strategy is to set one screening pass after each crushing pass, using the lower limit of the particle size level corresponding to the crushing pass as the screening particle size, to screen out the crushed material within the corresponding particle size level.

[0045] For example, there are 5 particle size levels from large to small, and A[5]={0, 0.25, 0.25, 0.25, 0.25}, B[5]={0.25, 0.25, 0.25, 0.25, 0}. The crushing strategy is to use the upper limit of the particle size of the 2nd, 3rd, and 4th particle size levels as the crushing particle size, and set one crushing pass for each level. The screening strategy is to use the lower limit of the particle size of the corresponding particle size level as the screening particle size after each crushing pass, and screen out three parts of crushed material in the 2nd, 3rd, and 4th particle size levels.

[0046] This setup allows for the downward compatible crushing of old aggregates within the milling material, followed by screening after each crushing, maximizing the reuse of old aggregates in the milling material.

[0047] In one possible implementation, in step S300, the crushing strategy and screening strategy are determined based on the target gradation and the initial gradation, including: S310, when the same first level exists in both the initial gradation and the target gradation, the upper limit of the particle size of the first level is used as the crushing particle size of the first crushing pass of the crushing strategy, and the lower limit of the particle size of the first level is used as the screening particle size of the screening pass of the screening strategy. Here, the first level refers to the level where the mass percentage of particles is greater than a first threshold. The number of crushing passes in the crushing strategy and the number of screening passes in the screening strategy are the same and correspond to each other.

[0048] It is understandable that a specific situation exists in the S300 step described above: the second particle size level is a particle size level smaller than the first particle size level, the initial gradation has a mass percentage of 0 in the second particle size level (or is considered approximately equal to 0 due to being less than a certain threshold), but the target gradation has a mass percentage of >0 in the second particle size level. According to the crushing and screening strategies obtained through the S300 step, there is still one crushing and screening pass in the second particle size level. However, in reality, the milled material has no mass percentage in the second particle size level, so there is no need for crushing and screening, which is equivalent to setting a meaningless crushing and screening pass. Therefore, in this step, the level with a particle mass percentage greater than the first threshold is called the first level (the first threshold can be 5%). Only when the same first level exists in both the initial and target gradations is the upper limit of the particle size of the first level used as the crushing particle size for one crushing pass of the crushing strategy. Subsequently, the lower limit of the particle size of the first level is used as the screening particle size of one screening pass of the screening strategy. The number of crushing passes of the crushing strategy is the same as the number of screening passes of the screening strategy, and there is a one-to-one correspondence.

[0049] This configuration prevents the setting of meaningless crushing and screening passes, thus improving the practicality of this method.

[0050] S400 performs multiple crushing passes on the milled material according to the crushing strategy, and after each crushing pass, qualified particles are screened out according to the screening strategy. After completing all crushing and screening passes, multiple piles of crushed material with different particle sizes are obtained.

[0051] It is understandable that after determining the crushing and screening strategies, the milled material is fed into the crushing and screening devices. The crushing and screening devices are crushing devices with adjustable particle size and screening devices with adjustable particle size. The milled material is crushed according to one crushing pass in the crushing strategy, and then screened according to the corresponding screening pass in the screening strategy to obtain a pile of crushed material. After all crushing and screening passes are executed in sequence, multiple piles of crushed material with different particle sizes are obtained.

[0052] With this setup, the resulting crushing and screening strategies will be executed.

[0053] S500, based on the target gradation, obtains a blending strategy, and blends crushed materials and new aggregates of different particle sizes into the target mixture according to the blending strategy.

[0054] It is understandable that the blending strategy is determined according to the mass proportion of each particle level in the target gradation. This strategy includes the specific mass of each particle level during blending, as well as the calculated mass of new aggregates of different particle sizes needed when the crushed material is insufficient. The blending device, which can be a feeder and mixer capable of taking a preset mass of material, blends the crushed material and new aggregates of different particle sizes into the target mixture according to the blending strategy. The target mixture is the finished product blended by this method with the target gradation as the objective. It should be noted that the crushed material also includes asphaltene; therefore, the mass of the crushed material must be multiplied by a mass coefficient to equal the mass of the old aggregate. The mass proportion of old aggregate in common milled material is approximately 95%, so the mass coefficient is 0.95. Alternatively, the mass proportion of old aggregate in the milled material can be measured before implementing this method to determine the magnitude of the mass coefficient.

[0055] This setup enables the execution of a blending strategy to obtain the target mixture.

[0056] S600 detects the first gradation of the target mixture and adjusts the crushing, screening, and blending strategies based on the difference between the first gradation and the target gradation to narrow the gap between them.

[0057] It is understandable that various errors exist during the blending process. For example, old asphalt and old aggregate may form clumps and be regarded as a whole aggregate, causing the resulting milled material gradation to deviate from the actual gradation of the aggregate in the milled material. Therefore, in this step, the actual first gradation of the target mixture is first detected by a testing device. Subsequently, the target gradation is subtracted from the first gradation to obtain the difference array C[n] between the first gradation and the target gradation. The terms in C[n] can be positive or negative. Positive terms in C[n] mean that the particle mass ratio of the target mixture in this level is too high and needs to be appropriately reduced. Methods to reduce the particle mass ratio of this level include: reducing the crushing particle size of this level in the crushing strategy (crushing old aggregates near the upper limit of the particle size of this level, thereby reducing the particle mass ratio of this level), increasing the screening particle size of this level in the screening strategy (screening out old aggregates near the lower limit of the particle size of this level, thereby reducing the particle mass ratio of this level), reducing the particle mass of this level in the blending strategy (reducing the amount of new aggregate added to reduce the particle mass ratio of this level), or increasing the particle mass of other levels in the blending strategy (increasing the amount of new aggregate in other levels to reduce the particle mass ratio of this level). Negative terms in C[n] indicate that the particle mass percentage of the target mixture in this gradation is too low and needs to be appropriately increased. The methods for increasing the particle mass percentage in this gradation are exactly the opposite of those for decreasing it. Increasing or decreasing the particle mass percentage in a gradation can be achieved by simultaneously using multiple methods, such as adjusting the crushing, screening, and blending strategies to narrow the gap between the first gradation and the target gradation. Alternatively, it can be achieved by using only one method, adjusting only one of the crushing, screening, and blending strategies.

[0058] This setup allows for optimization of the target mixture's gradation by adjusting the crushing, screening, and blending strategies.

[0059] In one possible implementation, in step S600, the crushing strategy, screening strategy, and blending strategy are adjusted based on the difference between the first gradation and the target gradation, including: S610, calculate the similarity between the first gradation and the target gradation.

[0060] It is understandable that the similarity between the first gradation and the target gradation can be calculated first, using the same similarity calculation method as in step S210.

[0061] This setup uses similarity to determine the difference between the first gradation and the target gradation, in order to decide whether to adjust the crushing, screening, and blending strategies.

[0062] S620, when the similarity is less than the second threshold, compare the mass proportion of particles of the same level in the first gradation and the target gradation to obtain the mass proportion difference array.

[0063] It is understandable that when the similarity is less than the second threshold, it means that the difference between the first gradation and the target gradation is large enough, and the crushing strategy, screening strategy and blending strategy need to be adjusted to narrow the gap between the first gradation and the target gradation. The difference in the mass percentage of particles of the same level in the first gradation and the target gradation is obtained by subtracting the mass percentage difference array, which is the difference array C[n].

[0064] This setting determines the specific gap between the first gradation and the target gradation.

[0065] S630, adjust the upper and lower limits of the grading level in the particle size classification rule, or adjust the amount of crushed material or new aggregate in the corresponding grading level in the blending strategy, in order to reduce the items in the mass ratio difference array.

[0066] It is understandable that the crushing particle size of the crushing strategy is the upper limit of the particle size of each level, and the screening particle size of the screening strategy is the lower limit of the particle size of each level. The crushing strategy and screening strategy can be indirectly adjusted by adjusting the upper and lower limits of the levels in the particle size classification rules. Then, by using the specific method of reducing or increasing the mass ratio of a certain level of particles in step S600, the items in the mass ratio difference array C[n] can be reduced.

[0067] This configuration maps the various adjustments obtained by this method to the particle size classification rules, allowing for the adjustment and optimization of the gradation by only adjusting the particle size classification rules and the blending strategy, thus optimizing the number of adjustable coefficients.

[0068] Optionally, after detecting the first gradation of the target mixture (step S600), the method further includes: S710, compare the average particle size of particles in the same layer of the first gradation and the target gradation to obtain an average particle size difference array. The average particle size of a layer in the target gradation is the midpoint between the upper and lower limits of the particle size for that layer. In the S600 step described above, a specific situation arises where, with repeated executions of the S600 step or under natural conditions, the particle size of particles in a layer of the target mixture tends to cluster to one side, meaning the particle size within a layer tends to concentrate near the upper or lower limit. For example, a layer might be 10mm-15mm. Normally, the particle size in this layer is relatively uniformly distributed. However, after multiple S600 steps or under natural conditions, over 75% of the particles have a diameter less than 12.5mm, indicating a significant shift towards the lower limit. In this case, the average particle size within a layer needs to be considered.

[0069] The average particle size difference array D[n] is obtained by subtracting the average particle size of particles in the same layer in the first gradation and the target gradation (the average particle size of the target gradation is the midpoint between the upper and lower limits of the particle size in this layer). The average particle size difference array D[n] can represent the degree of particle size deviation within the layer. Each item in D[n] represents the average particle size difference of the corresponding layer.

[0070] This setup takes into account a special case by adding the concept of an average particle size difference array to represent the degree of particle size offset within a layer, thus increasing the practicality of this method.

[0071] S720: Obtain the average particle size difference of the target level from the average particle size difference array. When the absolute value of the average particle size difference of the target level is greater than the fourth threshold, subdivide the target level into multiple new levels. The target level can be any level.

[0072] It can be understood that obtaining the average particle size difference of the target level from the average particle size difference array, where the target level is any level, means obtaining each item D[i] in the average particle size difference array D[n], i=1,2,...n. When the absolute value |D[i]| of the average particle size difference of the target level is greater than the fourth threshold (the absolute value |D[i]| being greater than the fourth threshold means that the particle size offset within the level is too large), the target level is subdivided into multiple new levels. The purpose of level subdivision is to subdivide a large level with uneven particle distribution into multiple smaller levels with more uniform particle distribution. The reason for uneven particle distribution is that multiple executions of the S600 step cause particles close to the upper limit of the level to be broken, or particles close to the lower limit of the level to be screened out. This can be regarded as the upper or lower limit of the level being incomplete. Therefore, the subdivision line can be placed at 2×(the middle value of the level - D[i]), which means that the complete segment in the large level is regarded as a small level, and the incomplete segment in the large level is regarded as another small level. Specifically, as shown below. Figure 3 As shown. Figure 3 The vertical line passing through point A (x=0) is the lower limit of the particle size in this level, and the vertical line passing through point C (x=10) is the upper limit of the particle size in this level. The left half (x=0 to x=5) is the complete segment in this level, and the right half (x=5 to x=10) is the incomplete segment in this level. f is the bisecting line, and f:x=2.5 = average particle size = midpoint of level - D[i]. Therefore, 2 × (midpoint of level - D[i]) is x=5 (the vertical line passing through point B). Thus, the level from x=0 to x=10 is subdivided into two smaller levels: x=0 to x=5 and x=5 to x=10.

[0073] This setup takes into account the uneven particle distribution and determines the subdivision method of the target level, which can prevent the particle size deviation within a level from being too large.

[0074] Optionally, after blending crushed materials and new aggregates of different particle sizes into the target mixture according to the blending strategy (step S500), the method further includes: S730: The first crushed material is transformed into a second crushed material through a crushing and screening process, which is used to formulate the target mixture. The first crushed material refers to the excess crushed material after formulating the target mixture, and the second crushed material refers to the missing crushed material after formulating the target mixture, with the particle size of the second crushed material being smaller than that of the first crushed material.

[0075] It is understandable that in step S500, after the crushed material and new aggregate of different particle sizes are blended into the target mixture, there will be excess crushed material and scarce crushed material. At this time, the excess crushed material can be crushed into scarce crushed material. Therefore, the excess crushed material after blending the target mixture is used as the first crushed material, and the scarce crushed material after blending the target mixture is used as the second crushed material. The particle size of the second crushed material must be smaller than that of the first crushed material. Then, the crushing particle size and screening particle size are controlled by the crushing and screening device, and the first crushed material is transformed into the second crushed material through the crushing and screening process.

[0076] This setup increases the utilization rate of crushed materials while reducing the amount of new aggregate used, thereby reducing costs.

[0077] Optionally, the method also includes: S740, periodically clean the third crushed material. The third crushed material refers to the excess crushed material of the smallest particle size layer after the target mixture has been prepared.

[0078] It is understandable that after a continuous crushing and screening process, the smallest particle size level of crushed material will gradually accumulate. Therefore, the excess smallest particle size level of crushed material after the target mixture is formulated is called the third crushed material. The third crushed material in the crushing and screening device is cleaned regularly, either manually or by a conveying device.

[0079] This design prevents the continuous accumulation of third-stage crushed material from clogging the crushing and screening device.

[0080] 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.

[0081] Corresponding to the milling material screening and crushing method based on gradation adjustment and optimization described in the above embodiments, this application also provides a milling material screening and crushing device based on gradation adjustment and optimization. Each unit of the device can realize each step of the milling material screening and crushing method based on gradation adjustment and optimization. Figure 4The diagram shows a structural block diagram of a milling material screening and crushing device based on gradation adjustment and optimization provided in an embodiment of this application. For ease of explanation, only the parts related to the embodiments of this application are shown.

[0082] Reference Figure 4 The device includes: The target gradation acquisition unit is used to acquire the target gradation set by the user. A gradation detection unit is used to detect the initial gradation of milled material; wherein the target gradation and the initial gradation use the same particle size classification rules; The crushing strategy and screening strategy determination unit is used to determine the crushing strategy and screening strategy based on the target gradation and the initial gradation; wherein, the crushing strategy includes multiple crushing passes with different crushing particle sizes, and the screening strategy includes multiple screening passes with different screening particle sizes. The crushing and screening unit is used to crush the milled material multiple times according to the crushing strategy, and after each crushing pass, qualified particles are screened out according to the screening strategy. After completing all crushing and screening passes, multiple piles of crushed material with different particle sizes are obtained. The blending unit is used to obtain a blending strategy based on the target gradation, and to blend crushed materials and new aggregates of different particle sizes into the target mixture according to the blending strategy; The feedback unit is used to detect the first gradation of the target mixture and adjust the crushing strategy, screening strategy and blending strategy according to the difference between the first gradation and the target gradation in order to reduce the gap between the first gradation and the target gradation.

[0083] 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.

[0084] 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.

[0085] This application also provides a milling material screening and crushing device based on gradation adjustment and optimization. Figure 5 This is a schematic diagram of a milling material screening and crushing device based on gradation adjustment and optimization, provided as an embodiment of this application. Figure 5 As shown, the control device 5 of the milling material screening and crushing equipment based on gradation adjustment and optimization in this embodiment includes: at least one processor 50 ( Figure 5 Only one is shown in the image), at least one memory 51 ( Figure 5 (Only one is shown in the image) and a computer program 52 stored in the at least one memory 51 and executable on the at least one processor 50. When the processor 50 executes the computer program 52, it causes the control device 5 of the milling material screening and crushing equipment based on gradation adjustment and optimization to implement the steps in any of the above embodiments of the milling material screening and crushing method based on gradation adjustment and optimization, or causes the control device 5 of the milling material screening and crushing equipment based on gradation adjustment and optimization to implement the functions of each unit in the above embodiments of the device.

[0086] Exemplarily, the computer program 52 may be divided into one or more units, which are stored in the memory 51 and executed by the processor 50 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 52 in the control device 5 of the milling and crushing equipment based on gradation adjustment and optimization.

[0087] The control device 5 of the milling material screening and crushing equipment based on gradation adjustment and optimization can be a single-chip microcomputer, 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 5 of the milling material screening and crushing equipment based on gradation adjustment and optimization may include, but is not limited to, a processor 50 and a memory 51. Those skilled in the art will understand that... Figure 5 This is merely an example of the control device 5 for a milling material screening and crushing equipment based on gradation adjustment and optimization, and does not constitute a limitation on the control device 5 for a milling material screening and crushing equipment based on gradation adjustment and optimization. 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.

[0088] The processor 50 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.

[0089] In some embodiments, the memory 51 may be an internal storage unit of the control device 5 of the milling material screening and crushing equipment based on gradation adjustment and optimization, such as a hard disk or memory of the control device 5. In other embodiments, the memory 51 may be an external storage device of the control device 5 of the milling material screening and crushing equipment based on gradation adjustment and optimization, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the control device 5. Further, the memory 51 may include both the internal storage unit of the control device 5 of the milling material screening and crushing equipment based on gradation adjustment and optimization and an external storage device. The memory 51 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 51 can also be used to temporarily store data that has been output or will be output.

[0090] 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.

[0091] This application provides a computer program product that, when run on a milling material screening and crushing device based on gradation adjustment and optimization, enables the milling material screening and crushing device based on gradation adjustment and optimization to implement the steps in any of the above-described method embodiments.

[0092] 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 milling and screening crushing device based on gradation adjustment and optimization; 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.

[0093] 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.

[0094] 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.

[0095] In the embodiments provided in this application, it should be understood that the disclosed milling material screening and crushing method, device, and equipment based on gradation adjustment and optimization can be implemented in other ways. For example, the embodiments of milling material screening and crushing method, device, and equipment based on gradation adjustment and optimization 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 coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0096] 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.

[0097] 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 screening and crushing milled materials based on gradation adjustment and optimization, characterized in that, The method includes: Obtain the target level set by the user; The initial gradation of the milled material is detected; wherein the target gradation and the initial gradation use the same particle size classification rule; Based on the target gradation and the initial gradation, a crushing strategy and a screening strategy are determined; wherein, the crushing strategy includes multiple crushing passes with different crushing particle sizes, and the screening strategy includes multiple screening passes with different screening particle sizes. The milling material is subjected to multiple crushing passes according to the crushing strategy, and qualified particles are screened out according to the screening pass of the screening strategy after each crushing pass. After completing all crushing and screening passes, multiple piles of crushed material with different particle sizes are obtained. Based on the target gradation, a blending strategy is obtained, and crushed materials and new aggregates of different particle sizes are blended into the target mixture according to the blending strategy. The first gradation of the target mixture is detected, and the crushing strategy, screening strategy and blending strategy are adjusted according to the difference between the first gradation and the target gradation to reduce the gap between the first gradation and the target gradation. The step of determining the crushing strategy and screening strategy based on the target gradation and the initial gradation includes: When the same first level exists in both the initial gradation and the target gradation, the upper limit of the particle size of the first level is used as the crushing particle size of one crushing pass of the crushing strategy, and the lower limit of the particle size of the first level is used as the screening particle size of the screening pass of the screening strategy; wherein, the first level refers to the level where the mass percentage of particles is greater than a first threshold, and the number of crushing passes of the crushing strategy and the number of screening passes of the screening strategy are the same and correspond to each other. The step of adjusting the crushing strategy, the screening strategy, and the blending strategy based on the difference between the first gradation and the target gradation includes: Calculate the similarity between the first gradation and the target gradation; When the similarity is less than the second threshold, the mass proportion of particles of the same level in the first gradation and the target gradation are compared to obtain a mass proportion difference array; when the similarity is less than the second threshold, the difference between the first gradation and the target gradation is large enough, and the crushing strategy, screening strategy and blending strategy need to be adjusted to reduce the gap between the first gradation and the target gradation. Adjust the upper and lower limits of the level in the particle size classification rule, or adjust the amount of crushed material or new aggregate in the corresponding level in the blending strategy, so as to reduce the items in the mass ratio difference array. After detecting the initial gradation of the milled material, the method further includes: Calculate the similarity between the initial gradation and the target gradation; When the similarity is less than the third threshold, a warning signal is sent and the execution of the method is suspended; wherein, the warning signal is used to warn the operator that the difference between the target gradation and the gradation of the milled material is too large; Wait for and receive a new target level set by the user or an instruction to ignore warnings. When the new target level is received, replace the target level with the new target level and continue to execute the method; when the instruction to ignore warnings is received, continue to execute the method.

2. The milling material screening and crushing method based on gradation adjustment and optimization as described in claim 1, characterized in that, After detecting the first gradation of the target mixture, the method further includes: The average particle size of particles in the same layer in the first gradation and the target gradation are compared to obtain an average particle size difference array; wherein, the average particle size of a layer in the target gradation is the midpoint between the upper limit and the lower limit of the particle size of this layer; The average particle size difference of the target level is obtained from the average particle size difference array. When the absolute value of the average particle size difference of the target level is greater than the fourth threshold, the target level is subdivided into multiple new levels. The target level is any level.

3. The milling material screening and crushing method based on gradation adjustment and optimization as described in claim 1, characterized in that, After blending crushed materials and new aggregates of different particle sizes into the target mixture according to the aforementioned blending strategy, the method further includes: The first crushed material is transformed into a second crushed material through a crushing and screening process, which is used to formulate the target mixture. The first crushed material refers to the excess crushed material after formulating the target mixture, and the second crushed material refers to the missing crushed material after formulating the target mixture. The particle size of the second crushed material is smaller than that of the first crushed material.

4. The milling material screening and crushing method based on gradation adjustment and optimization as described in claim 3, characterized in that, The method also includes: The third crushed material is cleaned up periodically; wherein, the third crushed material refers to the excess crushed material of the smallest particle size level after the target mixture is prepared.

5. A milling material screening and crushing device based on gradation adjustment and optimization, characterized in that, The apparatus for implementing the method according to any one of claims 1 to 4, the apparatus comprising: The target gradation acquisition unit is used to acquire the target gradation set by the user. A gradation detection unit is used to detect the initial gradation of milled material; wherein the target gradation and the initial gradation use the same particle size classification rule; A crushing strategy and screening strategy determination unit is used to determine a crushing strategy and a screening strategy based on the target gradation and the initial gradation; wherein, the crushing strategy includes multiple crushing passes with different crushing particle sizes, and the screening strategy includes multiple screening passes with different screening particle sizes. The crushing and screening unit is used to crush the milled material multiple times according to the crushing strategy, and after each crushing pass, qualified particles are screened out according to the screening pass of the screening strategy. After completing all crushing and screening passes, multiple piles of crushed material with different particle sizes are obtained. The blending unit is used to obtain a blending strategy based on the target gradation, and to blend crushed materials and new aggregates of different particle sizes into a target mixture according to the blending strategy. The feedback unit is used to detect the first gradation of the target mixture, and adjust the crushing strategy, the screening strategy and the blending strategy according to the difference between the first gradation and the target gradation, so as to reduce the gap between the first gradation and the target gradation.

6. A milling material screening and crushing device based on gradation adjustment and optimization, 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 4.

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