Feeding control methods and devices, asphalt mixing plant

Abstract

This invention relates to the field of mechanical control, providing a feeding control method and device, and an asphalt mixing plant. The method includes: determining the target feeding speed of each cold aggregate bin based on a cold aggregate data model; each cold aggregate bin being used to supply material to each aggregate bin; the cold aggregate data model containing the content of each aggregate in the cold aggregate of each cold aggregate bin; and controlling the feeding of each cold aggregate bin based on the target feeding speed of each cold aggregate bin. This solves the problem of inaccurate control of the feeding speed of cold aggregate bins relying on manual experience in existing technologies, achieving accurate automatic and independent control of the feeding speed of each cold aggregate bin, resulting in higher reliability. Furthermore, compared with manual experience-based control of the feeding speed of cold aggregate bins, it can adjust the feeding speed of multiple cold aggregate bins in real time and quickly, providing more timely control and avoiding situations such as material shortages or overflows, thereby improving production efficiency, reducing losses, and lowering costs.

Description

Technical Field

[0001] This invention relates to the field of mechanical control technology, and in particular to a feeding control method and device, and an asphalt mixing plant. Background Technology

[0002] An asphalt mixing plant is a complete set of equipment used for the mass production of asphalt concrete.

[0003] In the existing technology, the main feeding operation of asphalt mixing plants is manually operated by the operators. The feeding speed of the cold aggregate bin needs to be controlled by the operators based on their experience. This method of controlling the feeding speed of the cold aggregate bin based on manual experience is not accurate. Summary of the Invention

[0004] This invention provides a feeding control method and device, as well as an asphalt mixing plant, to solve the shortcomings of the existing technology that relies on manual experience to control the feeding speed of cold aggregate bins, which is not accurate. It realizes accurate automatic independent control of the feeding speed of each cold aggregate bin, and has higher reliability.

[0005] This invention provides a feeding control method, comprising:

[0006] Based on the cold material data model, the target feeding speed of each cold material bin is determined; each cold material bin is used to supply material to each aggregate bin; the cold material data model includes the content of each aggregate in the cold material of each cold material bin;

[0007] The feeding speed of each cold material bin is controlled based on the target feeding speed of each cold material bin.

[0008] According to a feeding control method provided by the present invention, determining the target feeding speed of each cold material bin based on a cold material data model includes:

[0009] Obtain the material level value of each aggregate bin;

[0010] Based on the cold material data model, the current feeding speed of each cold material bin is calculated;

[0011] The material level value of each aggregate bin is compared with the preset material level range;

[0012] Based on the current feeding speed of each cold material bin and the results of the comparison, the target feeding speed of each cold material bin is determined.

[0013] According to a feeding control method provided by the present invention, the step of calculating the current feeding speed of each cold material bin based on the cold material data model includes:

[0014] Obtain the unloading speed and material level change rate of each aggregate bin;

[0015] Based on the cold material data model, the unloading speed and material level change rate of each aggregate bin, the current feeding speed of each cold material bin is calculated.

[0016] According to a feeding control method provided by the present invention, the step of calculating the current feeding speed of each cold aggregate bin based on the cold aggregate data model, the unloading speed of each aggregate bin, and the material level change rate includes:

[0017] For each aggregate bin, the cold material supply priority corresponding to the aggregate in the aggregate bin is obtained. Based on the cold material supply priority, the cold material bin with the highest priority among at least one cold material bins that supplies material to the aggregate bin is determined. Based on the unloading speed and material level change rate of the aggregate bin and the content of aggregate in the cold material of the highest priority cold material bin, the current feeding speed of the highest priority cold material bin is determined.

[0018] The priority of cold material supply is determined according to the content of aggregate from the aggregate bin in the cold material of each cold material bin. The higher the content of aggregate from the aggregate bin in the cold material of each cold material bin, the higher the priority of the cold material of that cold material bin.

[0019] According to a feeding control method provided by the present invention, determining the current feeding speed of the highest priority cold silo based on the unloading speed and level change rate of the aggregate silo and the aggregate content of the aggregate silo in the cold material of the highest priority cold silo includes:

[0020] Based on the unloading speed of the aggregate bin and the content of aggregate from the aggregate bin in the cold material of the highest priority cold material bin, the first speed corresponding to the highest priority cold material bin is determined;

[0021] Based on the material level change rate of the aggregate bin, determine the second velocity corresponding to the cold aggregate bin with the highest priority;

[0022] Based on the first speed and the second speed, the current feeding speed of the cold material bin with the highest priority is determined.

[0023] According to a feeding control method provided by the present invention, determining the first speed corresponding to the highest priority cold hopper based on the unloading speed of the aggregate hopper and the aggregate content of the aggregate hopper in the cold material of the highest priority cold hopper includes:

[0024] The first speed corresponding to the highest priority cold hopper is determined based on the ratio of the unloading speed of the aggregate hopper to the aggregate content of the cold material in the highest priority cold hopper.

[0025] The feeding control method provided by the present invention further includes:

[0026] Detect the material level value of each of the aforementioned cold material bins and / or characterize the supply status of whether material is available;

[0027] The method of determining, based on the cold material supply priority, the cold material bin with the highest priority among at least one cold material bins supplying the aggregate bin includes:

[0028] Based on the cold material supply priority, and based on the material level value of each cold material bin and / or the supply status indicating whether material is available, the cold material bin with the highest priority among at least one available cold material bin is determined to supply material to the aggregate bin. The available cold material bin is the cold material bin with a material level value greater than a preset material level value and / or a supply status indicating that material is available.

[0029] According to a feeding control method provided by the present invention, obtaining the unloading speed of each aggregate bin includes:

[0030] The unloading speed of each aggregate bin is obtained based on the weight of aggregate weighed by the weighing scale corresponding to each aggregate bin and the weighing cycle.

[0031] According to a feeding control method provided by the present invention, the preset material level interval includes a first material level interval, a second material level interval, and a third material level interval in which the material level values ​​increase sequentially;

[0032] The determination of the target feeding speed for each cold material bin, based on the current feeding speed of each cold material bin and the results of the comparisons, includes:

[0033] If the material level value of the aggregate bin is within the first material level range, the current feeding speed of at least one cold hopper that supplies material to the aggregate bin will be increased to obtain the target feeding speed of at least one cold hopper that supplies material to the aggregate bin.

[0034] If the material level value of the aggregate bin is within the second material level range, the current feeding speed of at least one cold hopper that supplies material to the aggregate bin will be used as the target feeding speed of at least one cold hopper that supplies material to the aggregate bin.

[0035] If the material level value of the aggregate bin is within the third material level range, the current feeding speed of at least one cold hopper supplying the aggregate bin will be reduced to obtain the target feeding speed of at least one cold hopper supplying the aggregate bin.

[0036] According to a feeding control method provided by the present invention, the step of determining the target feeding speed of each cold material bin based on the current feeding speed of each cold material bin and the comparison results further includes:

[0037] The aggregate supply priority is determined according to the aggregate demand of each aggregate bin. The greater the aggregate demand of a bin, the higher the priority of that bin.

[0038] The total speed is obtained by summing the target feeding speeds of each cold material bin;

[0039] If the total speed is greater than the preset speed limit, based on the aggregate supply priority, determine at least one aggregate bin with the lowest aggregate priority in each aggregate bin;

[0040] The target feeding speed of at least one cold hopper that supplies at least one of the aggregate hoppers with the lowest priority is reduced so that the total speed is less than or equal to the preset speed limit.

[0041] According to a feeding control method provided by the present invention, the required amount of aggregate in each aggregate bin is determined based on the proportion of each aggregate in the production formula.

[0042] The present invention also provides a feeding control device, comprising:

[0043] A speed determination module is used to determine the target feeding speed of each cold material bin based on a cold material data model; each cold material bin is used to supply material to each aggregate bin; the cold material data model includes the content of each aggregate in the cold material of each cold material bin;

[0044] The feeding control module is used to control the feeding of each cold material bin based on the target feeding speed of each cold material bin.

[0045] The present invention also provides an asphalt mixing plant, including an asphalt mixing plant body and a controller, wherein the controller is used to implement the feeding control method as described above.

[0046] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the feeding control method as described above.

[0047] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the feeding control method as described above.

[0048] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the feeding control method as described above.

[0049] The feeding control method provided by this invention utilizes a cold material data model that provides the content of each aggregate contained in the cold material silo. This model accurately reflects the differences in composition among different cold materials, providing a data foundation for controlling the feeding speed of the cold material silos. Based on the cold material data model, the target feeding speed for each cold material silo can be determined, thereby automatically controlling the feeding of each silo. This solves the problem of inaccurate feeding speed control of cold material silos relying on manual experience in existing technologies. It achieves accurate, automatic, and independent control of the feeding speed of each cold material silo, resulting in higher reliability. Furthermore, compared with manual experience-based control of the feeding speed of cold material silos, this method can adjust the feeding speed of multiple cold material silos in real time and quickly, providing more timely control and avoiding situations such as material shortages or overflows. This improves production efficiency, reduces losses, and lowers costs. Attached Figure Description

[0050] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0051] Figure 1 This is one of the flowcharts illustrating the feeding control method provided by the present invention;

[0052] Figure 2 This is a schematic diagram of the material feeding control system provided by the present invention;

[0053] Figure 3 This is the second flowchart of the feeding control method provided by the present invention;

[0054] Figure 4 This is a schematic diagram of the feeding control device provided by the present invention;

[0055] Figure 5 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0056] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0057] In asphalt mixing plants, relying on manual experience to control the feeding speed of cold aggregate bins is inaccurate and prone to errors. Because the cold aggregate bins are far from the control room, it is impossible to judge the situation of the cold aggregate bins in a timely and accurate manner. When multiple cold aggregates are fed at the same time, the operation will be restricted, and it will be difficult to quickly adjust the feeding speed of each cold aggregate bin. This can easily lead to situations such as material shortages or overflows due to untimely feeding, which will reduce production efficiency, increase losses, and thus increase costs.

[0058] In addition, some manufacturers require fixed cold material silos for cold material feeding. For example, suppose the cold material system has 6 cold material silos, each storing different cold materials. Let's assume the 6 cold materials are numbered: #1, #2, #3, #4, #5, and #6. Correspondingly, there are 6 aggregate silos, storing aggregates #1 through #6 respectively. If aggregate #1 is missing, feeding #1 cold material is initiated; if aggregate #2 is missing, feeding #2 cold material is initiated, and so on. This method is inflexible, requiring a strict correspondence between the cold material numbers and the aggregate numbers. It also requires a large proportion of aggregate #1 within the #1 cold material; otherwise, incorrect feeding may occur. Therefore, this method places very high demands on the raw materials and operational procedures, which is sometimes difficult to achieve, resulting in low reliability.

[0059] Therefore, the present invention provides a cold material feeding method that accurately realizes the automatic control of the target feeding speed of each cold material bin. It can be applied to asphalt mixing plants and is executed by software and / or hardware in the asphalt mixing plant. For example, it can be executed by a controller that can control various parts of the feeding control system. The controller can be, but is not limited to, a programmable logic controller (PLC) or a microcontroller.

[0060] The following is combined Figures 1 to 3 The feeding control method of the present invention is described.

[0061] Figure 1 This is one of the flowcharts of the feeding control method provided by the present invention.

[0062] like Figure 1 As shown, this embodiment provides a feeding control method, which includes at least:

[0063] Step 101: Based on the cold material data model, determine the target feeding speed of each cold material bin; each cold material bin is used to supply material to each aggregate bin; the cold material data model includes the content of each aggregate in the cold material of each cold material bin.

[0064] The target feeding speed is the feeding speed that needs to be controlled to reach in the cold material hopper.

[0065] Cold feed generally contains aggregates of different particle sizes. The content of each aggregate in cold feed can be understood as the content of each aggregate contained in the cold feed. For example, the content of aggregate can be the weight ratio of aggregate in cold feed, or the volume ratio of aggregate in cold feed, etc.

[0066] The aggregates stored in each aggregate bin have different particle sizes. In practice, cold aggregates are stored in the cold aggregate bins. The cold aggregates in the cold aggregate bins can be conveyed to a screen (such as a vibrating screen), and then the screen will further separate the cold aggregates into aggregates of different particle sizes. These aggregates of different particle sizes can then enter the aggregate bins of the corresponding particle sizes, thereby realizing the feeding of aggregates from the cold aggregate bins to the aggregate bins.

[0067] For example, such as Figure 2 The feeding control system shown includes a host computer (e.g., a computer), a controller electrically connected to the host computer, multiple cold material bins and multiple aggregate bins, multiple motors (denoted by M in the figure) connected one-to-one with the multiple cold material bins, multiple frequency converters electrically connected one-to-one with the multiple motors, multiple feeding belts corresponding to the multiple cold material bins, conveyor belts, rollers, elevators, and vibrating screens corresponding to the multiple feeding belts. The controller is electrically connected to each frequency converter. The figure illustrates six cold material bins, numbered 1, 2, 3, 4, 5, and 6, and six aggregate bins, also numbered 1, 2, 3, 4, 5, and 6.

[0068] Based on this, the controller can control the motor speed by controlling the frequency of the frequency converter, and thus control the feeding speed of the cold material bin. The cold material in the cold material bin is fed into the vibrating screen via the feeding belt, conveyor belt, rollers, and elevator. The vibration of the vibrating screen further breaks the cold material into aggregates of different particle sizes, which then enter the corresponding aggregate bins. The cold material enters the elevator through the discharge port of the rollers.

[0069] In practical applications, before determining the target feeding speed of each cold material bin based on the cold material data model, the cold material data model can be obtained first. For example, a pre-stored cold material data model can be obtained locally, a cold material data model stored in the cloud can be downloaded via the network, or a cold material data model manually entered by the user can be obtained.

[0070] For example, the cold stock data model described above can be stored on a local host computer. The controller can retrieve the cold stock data model from the host computer.

[0071] Step 102: Control the feeding of each cold material bin based on the target feeding speed of each cold material bin.

[0072] In this embodiment, the cold material data model provides the content of each aggregate contained in the cold material silo, accurately reflecting the differences in composition among different cold materials. This provides a data foundation for controlling the feeding speed of the cold material silo. Based on the cold material data model, the target feeding speed of each cold material silo can be determined, thereby automatically controlling the feeding of each silo. This solves the problem of inaccurate feeding speed control of cold material silos relying on manual experience in the prior art, achieving accurate, automatic, and independent control of the feeding speed of each cold material silo with higher reliability. Furthermore, compared with controlling the feeding speed of cold material silos by manual experience, it can adjust the feeding speed of multiple cold material silos in real time and quickly, making the control more timely and avoiding situations such as material shortages or overflows, thereby improving production efficiency, reducing losses, and lowering costs.

[0073] It should be noted that in this embodiment, one cold material silo can supply material to multiple aggregate silos, and one aggregate silo can also be supplied by multiple cold material silos. There is no need to require a certain cold material silo to supply material to a certain aggregate silo. Based on the content of each aggregate contained in the cold material in the cold material silo provided by the cold material data model, the feeding speed can be accurately controlled, which is more reliable.

[0074] In an exemplary embodiment, the target feeding rate for each cold material bin is determined based on the cold material data model, such as... Figure 3 As shown, specific implementation methods may include:

[0075] Step 301: Obtain the material level value of each aggregate bin.

[0076] See Figure 2 In the feeding control system, a level gauge can be installed in each aggregate bin (shown as a strip structure in each aggregate bin in the diagram). This level gauge is used to detect the material level in the aggregate bin in real time and send it to the controller. The controller can obtain the material level value of the aggregate bin based on the detection results of the level gauge.

[0077] Step 302: Calculate the current feeding speed of each cold material bin based on the cold material data model. This step can be implemented by: obtaining the unloading speed and material level change rate of each aggregate bin; and calculating the current feeding speed of each cold material bin based on the cold material data model, the unloading speed, and the material level change rate of each aggregate bin.

[0078] Specifically, when obtaining the unloading speed of each aggregate bin, the unloading speed can be determined based on the weight of aggregate weighed by the corresponding weighing scale and the weighing cycle of each bin. For practical applications, see [link to relevant documentation]. Figure 2The feeding control system also includes a weighing scale, which weighs the aggregate at the time of unloading from the aggregate bin according to a preset weighing cycle and sends the weight to the controller. For example, the ratio of the aggregate weight weighed by the weighing scale to the weighing cycle can be used as the unloading speed of the aggregate bin. In this way, the unloading speed of the aggregate bin can be accurately obtained.

[0079] The controller can also obtain the rate of change of aggregate level in the aggregate bin based on the detection results of the level gauge. The rate of change of level is the ratio of the difference between the current level value and the previous level value to the change in level over time between the two times.

[0080] Specifically, based on the cold material data model, the unloading speed and material level change rate of each aggregate bin, the current feeding speed of each cold material bin is calculated. This can include: for each aggregate bin, obtaining the cold material supply priority corresponding to the aggregate in the aggregate bin; based on the cold material supply priority, determining the cold material bin with the highest priority among at least one cold material bins supplying aggregate to the aggregate bins; and determining the current feeding speed of the highest priority cold material bin based on the unloading speed and material level change rate of the aggregate bins and the content of aggregate in the cold material of the highest priority cold material bin. The cold material supply priority is determined according to the content of aggregate in the cold material of each cold material bin; the higher the content of aggregate in the cold material of a cold material bin, the higher the priority of the cold material in that cold material bin.

[0081] Table 1 Cold Material Data Model

[0082]

[0083] Table 2 Simplified Cold Material Data Model

[0084]

[0085] The cold stock data model can include the cold stock, the aggregates within the cold stock, and the corresponding content of each aggregate. As shown in Table 1, the cold stock data model can contain multiple cold stocks, with the content (by weight or volume) of each aggregate in each cold stock arranged in descending order. The cold stock data model records the number of each cold stock and the corresponding aggregate number and content. Table 1 illustrates six types of cold stocks, numbered 1 to 6. Each cold stock includes the content of aggregate number 1, aggregate number 2, aggregate number 3, ..., the content of aggregate number min_1 (Amin_1), where min_1 represents the aggregate with the smallest content, and Amin_1 represents the content of the aggregate with the smallest content. Furthermore, since some cold feed materials are mainly composed of certain types of aggregates with relatively high content, while the content of other aggregates is relatively low, their impact on the feeding speed is minimal. Therefore, the influence of these aggregates can be ignored, allowing us to focus on the main aggregates and simplify the cold feed data model by identifying the aggregates with the highest content. The simplified cold feed data model is shown in Table 2, illustrated by six types of cold feed materials, numbered 1 to 6, with each type corresponding to the three aggregates with the highest content.

[0086] Based on this, for each aggregate bin, the content of aggregate in the cold material of each cold material bin can be found from the cold material data model and sorted. Based on the sorting results, the cold material supply priority corresponding to the aggregate bin can be determined. The higher the content of aggregate in the cold material of the cold material bin, the higher the priority of the cold material of the cold material bin.

[0087] Table 3. Priority of Cold Feed Supply for Aggregates

[0088]

[0089] Referring to Table 3, the cold material supply priority for each aggregate from No. 1 to No. 6 is illustrated. Taking No. 1 aggregate as an example, the optimal cold material supply priority (i.e., the highest priority cold material) is No. 6, the second-highest priority is No. 2, and the lowest priority is No. 1. Similarly, for No. 2 aggregate, the optimal cold material supply priority is No. 1, the second-highest priority is No. 3, and the lowest priority is No. 2. For No. 3 aggregate, the optimal cold material supply priority is No. 2, the second-highest priority is No. 1, and the lowest priority is No. 5, and so on. Therefore, for example, if the cold material supplying No. 1 aggregate bin consists of No. 6, No. 2, and No. 1, then the cold material bin with the highest priority, No. 6, is determined.

[0090] For example, based on the unloading speed and level change rate of the aggregate bin, and the aggregate content in the cold material of the highest priority cold silo, the current feeding speed of the highest priority cold silo is determined, which may specifically include:

[0091] The first step is to determine the first speed corresponding to the highest priority cold silo based on the unloading speed of the aggregate bin and the aggregate content in the highest priority cold silo.

[0092] Specifically, the first speed corresponding to the highest priority cold silo can be determined based on the ratio of the unloading speed of the aggregate silo to the aggregate content of the aggregate silo in the cold material of the highest priority cold silo. For example, the ratio of the unloading speed of the aggregate silo to the aggregate content of the aggregate silo in the highest priority cold silo can be used as the first speed corresponding to the highest priority cold silo. Alternatively, the ratio of the unloading speed of the aggregate silo to the aggregate content of the aggregate silo in the highest priority cold silo can be multiplied by a set coefficient to obtain the first speed corresponding to the highest priority cold silo.

[0093] The second step is to determine the second velocity corresponding to the highest priority cold silo based on the material level change rate of the aggregate bins.

[0094] Specifically, the rate of change of aggregate level in the aggregate bins can be used as the second speed corresponding to the highest priority cold aggregate bin. Alternatively, the rate of change of aggregate level in the aggregate bins can be multiplied by a set coefficient to obtain the second speed corresponding to the highest priority cold aggregate bin.

[0095] The third step is to determine the current feeding speed of the highest priority cold material bin based on the first and second speeds. Specifically, a preset algorithm can be used to determine the current feeding speed of the highest priority cold material bin based on the first and second speeds. For example, the first and second speeds can be summed to obtain the current feeding speed of the highest priority cold material bin. Alternatively, the average of the first and second speeds can be used to obtain the current feeding speed of the highest priority cold material bin.

[0096] Step 303: Compare the material level values ​​of each aggregate bin with the preset material level range.

[0097] In practical applications, preset material level ranges can be set for each aggregate bin. These preset ranges can be the same or different for each bin. Since the aggregate demand may vary from bin to bin, setting individual preset ranges for each bin allows for more accurate control. The system can accept user-input preset ranges or automatically determine them based on the aggregate demand in the production formula. The production formula typically includes the required proportions of each aggregate, which characterizes the aggregate demand. For example, a correspondence between aggregate demand and preset level ranges can be preset, and the corresponding preset level range can be determined based on this correspondence.

[0098] Step 304: Based on the current feeding speed of each cold material bin and the results of each comparison, determine the target feeding speed of each cold material bin.

[0099] The preset material level range can include a first material level range, a second material level range, and a third material level range where the material level values ​​increase sequentially. Then, based on the current feeding speed of each cold material hopper and the results of the comparisons, the target feeding speed for each cold material hopper is determined, which can specifically include:

[0100] If the aggregate bin level is within the first level range, the current feeding speed of at least one cold hopper supplying the aggregate bin will be increased to obtain the target feeding speed for that cold hopper. If the aggregate bin level is within the first level range, it indicates that there is insufficient aggregate in the bin, and more aggregate needs to be added to avoid a shortage. In this case, the current feeding speed can be increased.

[0101] If the aggregate level in the aggregate bin is within the second level range, the current feeding speed of at least one cold hopper supplying the aggregate bin will be used as the target feeding speed for that cold hopper. If the aggregate level in the aggregate bin is within the second level range, it indicates that the aggregate in the bin is adequate, and the current feeding speed should be maintained.

[0102] If the aggregate bin level is within the third level range, the current feeding speed of at least one cold hopper supplying the aggregate bin will be reduced to obtain the target feeding speed for that cold hopper. If the aggregate bin level is within the third level range, it indicates that there is a large amount of aggregate in the bin. To avoid overflow, the current feeding speed can be reduced.

[0103] The current feeding speed of the cold material hopper can be decreased or increased according to a preset step size. The specific value of the preset step size can be set according to the actual situation and is not specifically limited here. Of course, other methods can also be used to decrease or increase the current feeding speed of the cold material hopper, which will not be listed here.

[0104] In this embodiment, the content of each aggregate in the cold material provided in the cold material data model, as well as the unloading speed, material level value and material level change rate of each aggregate bin, are comprehensively considered to accurately measure the current feeding speed of each cold material bin. Based on the comparison between the material level value of each aggregate bin and the preset material level range, the target feeding speed of each cold material bin is determined, thus accurately realizing the quantitative control of the feeding speed of the cold material bin.

[0105] In an exemplary embodiment, the feeding control method may further include: detecting the material level value of each cold material bin and / or the supply status indicating whether material is available; correspondingly, based on the cold material supply priority, determining the cold material bin with the highest priority among at least one available cold material bins supplying material to the aggregate bin, specifically including: based on the cold material supply priority and based on the material level value of each cold material bin and / or the supply status indicating whether material is available, determining the cold material bin with the highest priority among at least one available cold material bins supplying material to the aggregate bin, wherein the available cold material bin is the cold material bin with a material level value greater than a preset material level value and / or a supply status indicating that material is available.

[0106] In practical applications, level gauges can be installed in the cold material silo to detect the material level. If the level is higher than a preset value, it indicates sufficient cold material in the silo. If the level is lower than or equal to the preset value, it indicates the silo is about to run out of material. Alternatively, a proximity sensor can be installed at the bottom of the cold material silo to detect its supply status. If the silo is empty, it cannot supply material. In this case, the proximity sensor sends an electrical signal to the controller indicating no object is approaching. The controller can then determine that the silo is not supplying material to prevent it from running dry. Otherwise, it can determine that the silo is supplying material.

[0107] To ensure continuous production, during implementation, available cold material silos (those with material levels above preset levels and / or supply status indicating material availability) can be prioritized for supplying aggregate silos, preventing material shortages from impacting production. When a cold material silo's material level is below or equal to the preset level and / or unavailable, the system can automatically switch to the highest priority available cold material silo. For example, the system can switch from the cold material silo with the highest priority (i.e., optimal cold material supply) for aggregates to the second highest priority (i.e., second-best cold material supply) cold material silo.

[0108] In an exemplary embodiment, determining the target feeding speed for each cold material bin based on the current feeding speed of each cold material bin and the results of each comparison may further include:

[0109] The first step is to obtain the aggregate supply priority. The aggregate supply priority is determined according to the aggregate demand of each aggregate bin. The greater the aggregate demand of an aggregate bin, the higher the priority of the aggregate in that bin.

[0110] The aggregate demand for each aggregate bin can be determined based on the proportion of each aggregate in the production formula. Based on this, a pre-stored production formula can be obtained, and the proportions of each aggregate required in the production formula can be sorted. Based on the sorting result, the aggregate supply priority is determined; the greater the aggregate demand of a bin, the higher its priority.

[0111] Of course, you can also manually enter and store the aggregate supply priority.

[0112] The second step is to determine the sum of the target feeding speeds for each cold material bin to obtain the total speed.

[0113] Third step: If the total speed is greater than the preset speed limit, based on the aggregate supply priority, determine at least one aggregate bin with the lowest priority among the aggregates in each aggregate bin.

[0114] Step 4: Reduce the target feeding speed of at least one cold hopper that supplies at least one aggregate hopper with the lowest priority, so that the total speed is less than or equal to the preset speed limit.

[0115] In practical applications, the load that the feeding control system can handle is limited. Therefore, it is necessary to control the target feeding speed of each cold material bin within the load range. The sum of the target feeding speeds of each cold material bin reflects the total load loaded by the feeding control system. If the total speed exceeds the preset speed limit, the feeding control system will be unable to handle it. In this case, it is advisable to prioritize the supply of aggregates with higher demand based on the aggregate demand, and reduce the supply of aggregates with lower demand. Based on this, the above-mentioned aggregate supply priority is set. The higher the aggregate demand of an aggregate bin, the higher the priority of the aggregate in that bin. If the total speed of the determined target feeding speeds of each cold material bin is greater than the preset speed limit, then according to the aggregate supply priority, the target feeding speed of at least one cold material bin supplying at least one aggregate bin with the lowest priority will be reduced so that the total speed is less than or equal to the preset speed limit, thereby further ensuring continuous production.

[0116] Specifically, the target feeding speed of at least one cold hopper supplying at least one aggregate hopper with the lowest priority is reduced so that the total speed is less than or equal to a preset speed limit. This can be achieved by first reducing the target feeding speed of the lowest priority cold hopper; if the target feeding speed of that lowest priority cold hopper is reduced to zero, then the target feeding speed of the next lowest priority cold hopper is reduced, and so on, until the total speed is less than or equal to the preset speed limit. This ensures that aggregates with higher priority are supplied first.

[0117] In an exemplary embodiment, the type of cold material in the cold material bin can be determined based on the user's first input operation. Due to factors such as the raw materials potentially originating from different geological regions, the composition of the cold material varies. In practical applications, the content of each aggregate in various cold materials can be pre-obtained to construct a cold material data model. The user can select the type of cold material in the cold material bin according to production needs through input operations. Based on the selected type of cold material, the content of each aggregate in the cold material in the cold material bin can be obtained from the cold material data model, making production more flexible.

[0118] In an exemplary embodiment, the content of different aggregates in the cold feed of the cold feed bin can be updated according to the user's second input operation. When the content of different aggregates in the cold feed changes, the cold feed supply priority corresponding to the aggregate also changes. This embodiment is applicable to situations where there are few types of cold feed on site. If the cold feed with the highest priority in the cold feed supply priority is unavailable, cold feed of the same type as that in other cold feed bins can be used as a substitute. The content of different aggregates in the cold feed used as a substitute can be updated through input operation, and the cold feed used as a substitute becomes the cold feed with the highest priority in the cold feed supply priority corresponding to the aggregate. At this time, multiple cold feed bins contain the same type of cold feed, but the cold feed supply priority corresponding to the aggregate can be changed by manually adjusting the aggregate content in the cold feed data model, so that different cold feed bins containing the same type of cold feed become the optimal suppliers of different aggregates, rather than the optimal suppliers of the same aggregate.

[0119] For example, the cold aggregate data model can be constructed as follows: Cold aggregate from the target cold aggregate bin is transported to multiple aggregate bins, where each aggregate in the cold aggregate enters its corresponding aggregate bin; the storage amount of each aggregate in the cold aggregate in the corresponding aggregate bin is detected; based on the storage amount of each aggregate in the cold aggregate, the content of each aggregate in the cold aggregate is determined; based on the content of each aggregate in the cold aggregate, the cold aggregate data model is constructed. Here, the target cold aggregate bin is the cold aggregate bin where the content of each aggregate in the cold aggregate is to be determined. Both the cold aggregate bin and the aggregate bins are existing in the asphalt mixing plant; see [link to relevant documentation]. Figure 2 The feeding control system in the asphalt mixing plant shown can transport cold aggregate from the cold aggregate bins to multiple aggregate bins. Thus, the cold aggregate data model can be automatically constructed using existing asphalt mixing plants without the need for other specialized equipment. This simple operation makes it highly applicable and suitable for widespread adoption.

[0120] Based on the above embodiments, the cold material in the target cold material bin is conveyed to multiple aggregate bins, including: conveying the cold material in the target cold material bin to a screen, and using the screen to separate the aggregates in the cold material into the corresponding aggregate bins. The screen has a screening function, used to separate the cold material into aggregates of different particle sizes, and then store them separately in the corresponding aggregate bins. The screen can be a vibrating screen. In this way, the aggregates in the cold material can be accurately distinguished.

[0121] The specific implementation of detecting the storage amount of each aggregate in the cold material in the corresponding aggregate bin can include: using a weighing scale to detect the weight of each aggregate in the cold material in the corresponding aggregate bin; or using a level gauge to detect the level value of each aggregate in the cold material in the corresponding aggregate bin.

[0122] like Figure 2 The feeding control system shown has a corresponding weighing scale for each aggregate bin. Aggregates from each bin are sequentially unloaded onto the weighing scale, which measures the weight of the unloaded aggregate as the storage quantity, resulting in w1, w2, w3, w4, w5, w6, ... w n w n This represents the weight of aggregate in bin n out of n aggregate bins. Alternatively, the level gauge in each bin can be used to detect the aggregate level, which is then used as the storage quantity, resulting in L1, L2, L3, L4, L5, L6…L… n L n This represents the aggregate level value in aggregate bin n out of n aggregate bins. The aggregate level value reflects the volume of the aggregate.

[0123] Accordingly, based on the storage amount of each aggregate in the cold feed, the content of each aggregate in the cold feed can be determined. This can be achieved by: summing the storage amounts of each aggregate to obtain the total storage amount; and determining the content of each aggregate based on the ratio of the storage amount of each aggregate to the total storage amount.

[0124] In practical applications, the ratio of aggregate storage to total storage can be directly used as the aggregate content.

[0125] If the storage quantity of aggregate is equal to the weight of aggregate, then the content A of the k-th aggregate among the n types of aggregate in the cold aggregate is... k =w k / (w1+w2+w3+w4+w5+w6+…+w n ), 1≤k≤n, w k Let be the weight of the k-th type of aggregate. Based on this, the aggregate content is the weight percentage of the aggregate.

[0126] If the aggregate storage quantity is equal to the aggregate level value, then the content A of the k-th aggregate among the n types of aggregates in the cold aggregate is... k =L k / (L1+L2+L3+L4+L5+L6+…+L n ), 1≤k≤n,L k Let be the level value of the k-th aggregate. Based on this, the aggregate content is the volume ratio of the aggregate.

[0127] Of course, the ratio of aggregate storage to total storage can also be multiplied by a set coefficient to obtain the aggregate content.

[0128] In this way, the storage amount of each aggregate can be accurately obtained by using the existing weighing scales and level gauges in the asphalt mixing plant, and thus the content of each aggregate in the cold aggregate can be accurately obtained.

[0129] In an exemplary embodiment, the cold material in the target cold material bin is transported to multiple aggregate bins. The specific implementation method may include: transporting the cold material in the target cold material bin to multiple aggregate bins according to a preset feeding time or a preset feeding total amount.

[0130] Considering that the main objective of this embodiment is to obtain the content of each aggregate in the cold material in the target cold material bin, continuous feeding is unnecessary. It is sufficient to accurately analyze the content of each aggregate in the cold material, thus improving processing efficiency. Based on this, this embodiment provides two methods for conveying cold material to multiple aggregate bins. One method is to continuously feed for a preset feeding time and then stop feeding. The other method is to feed according to a preset feeding total, stopping feeding once the preset feeding total is reached. For the method of feeding according to the preset feeding total, the preset feeding total amount of cold material can be pre-weighed and placed into the cold material bin. Both the preset feeding time and the preset feeding total can be set based on empirical statistics and are not specifically limited here.

[0131] In an exemplary embodiment, a cold stock data model is constructed based on the content of each aggregate in the cold stock. This can be implemented by: sorting the content of each aggregate in the cold stock; and constructing the cold stock data model based on the sorting results. Referring to the cold stock data model shown in Table 2, the content sorting of each aggregate in the cold stock is clearly reflected, making querying more convenient.

[0132] In an exemplary embodiment, before conveying the cold material in the target cold silo to multiple aggregate silos, the method may further include: selecting one cold silo as the target cold silo in a preset order from among the multiple cold silos.

[0133] In practical applications, various cold materials can be stored in multiple cold material bins. Based on this, the content of each aggregate in each cold material can be determined. A cold material data model can be constructed based on the aggregate contents of the cold materials from multiple cold material bins. In this way, a comprehensive cold material data model containing the aggregate contents of various cold materials can be quickly obtained.

[0134] based on Figure 2 The feeding control system shown, for example, can first select cold material bin No. 1 out of 6 cold material bins as the target cold material bin, and then feed the cold material No. 1 into multiple aggregate bins according to a preset feeding time and preset feeding speed. Then, feeding is stopped, and the content of each aggregate in the cold material No. 1 of cold material bin No. 1 is obtained. Then, cold material bin No. 2 is selected as the target cold material bin, and the cold material No. 2 of cold material bin No. 2 is fed into multiple aggregate bins according to a preset feeding time and preset feeding speed. This process is repeated until all 6 cold material bins are selected, and the content of each aggregate in the cold material of the 6 cold material bins is obtained, thereby completing the automatic construction of the cold material database.

[0135] The following section provides a more detailed description of a feeding control method provided by an embodiment of the present invention, using a specific application scenario as an example.

[0136] based on Figure 2 The asphalt mixing plant's feeding control system shown has a controller electrically connected to each level gauge and frequency converter. The controller can be a PLC, and the host computer can be a computer. Level gauges and proximity sensors can also be installed in the cold aggregate silo. The host computer can store the cold aggregate data model, production formula, and preset level ranges, and can also display the production status in real time, such as the feeding speed of the cold aggregate silo. The preset level ranges include an accelerated feeding level range (add_zone, i.e., the first level range mentioned above), a fixed-frequency level range (static_zone, i.e., the second level range mentioned above), a decelerated feeding level range (sub_zone, i.e., the third level range mentioned above), and a full-load level (stop_line), among other level flags. The full-load level is used to trigger a full-load warning. Furthermore, the type of cold aggregate for production can be selected from the cold aggregate data model via the computer.

[0137] The first step is to automatically capture device information and device status through the program.

[0138] The equipment status includes the operating status of belts, rollers, vibrating screens, etc. If the operating status is on, the preconditions for adaptive feeding are met.

[0139] The equipment information includes the preset upper limit frequency selected according to the model of the asphalt mixing plant, that is, the upper limit allowed by the sum of the frequencies of all frequency converters, which can be converted into the preset maximum speed.

[0140] The second step involves downloading the cold material data model, production formula, and preset material level range through interaction with the host computer. Based on the proportion of each aggregate in the production formula, the aggregate supply priority is determined, and based on the cold material data model, the corresponding cold material supply priority is established.

[0141] Step 3: Automatically acquire information on cold material supply.

[0142] Specifically, the level can be obtained through the level gauge and proximity sensor in the cold material silo to prevent idling and switch the cold material supply in a timely manner. For details, please refer to the above relevant embodiments, which will not be repeated here.

[0143] Step 4: Automatically acquire the level values ​​L1, L2, L3, L4, L5, and L6 of the level gauges in different aggregate bins. Based on the cold aggregate data model, the unloading speed of each aggregate bin, and the level change rate, calculate the current feeding speed of each cold aggregate bin. Compare the level values ​​of each aggregate bin with the preset level range. Based on the current feeding speed of each cold aggregate bin and the comparison results, determine the target feeding speed of each cold aggregate bin. In practice, the unloading speed of the aggregate bin can be obtained based on the weight of the aggregate weighed by the corresponding weighing scale and the time elapsed since the last weighing.

[0144] Furthermore, the sum of the target feeding speeds of each cold aggregate bin can be determined to obtain the total speed. If the total speed is greater than the preset speed limit, based on the aggregate supply priority, at least one aggregate bin with the lowest priority among the multiple aggregate bins is determined. The target feeding speed of at least one cold aggregate bin supplying the lowest priority aggregate bin is reduced so that the total speed is less than or equal to the preset speed limit.

[0145] Step 5: The controller controls the corresponding frequency output of the inverter for each cold material bin according to the final target feeding speed of each cold material bin.

[0146] Step 6: The frequency converter controls the motor output to adjust the feeding speed of the cold material hopper.

[0147] The specific implementation methods for each of the above steps can be found in the relevant embodiments above, and will not be repeated here.

[0148] The solution in this embodiment achieves the following effects: 1) No manual intervention is required for feeding; the feeding speed of various cold materials can be quickly and automatically adjusted to stabilize the aggregate bin level and prevent material shortages and overflows; 2) Low requirements for raw materials of cold materials; flexible operation mode; the type of cold material can be quickly changed via computer to match the types of cold materials in different regions; 3) Automatic switching to alternative cold materials when cold materials are insufficient during production to prevent production disruptions due to material shortages; 4) The priority of cold material supply can be adjusted by adjusting the aggregate content in the cold material data model, enabling automatic production by supplying one type of cold material to multiple aggregates; 5) The supply of cold materials can be automatically controlled based on changes in the aggregate bin level, thereby reducing the probability of overflow when multiple cold materials are supplied to one type of aggregate; 6) The type of cold material supplied can be changed according to actual production conditions using the equipped cold material data model; 7) Preset material level ranges can be manually or automatically set according to the production formula.

[0149] The feeding control device provided by the present invention is described below. The feeding control device described below can be referred to in correspondence with the feeding control method described above.

[0150] Figure 4 This is a schematic diagram of the feeding control device provided by the present invention.

[0151] like Figure 4 As shown, this embodiment provides a feeding control device, including:

[0152] The speed determination module 401 is used to determine the target feeding speed of each cold material bin based on the cold material data model; each cold material bin is used to supply material to each aggregate bin; the cold material data model contains the content of each aggregate in the cold material of each cold material bin;

[0153] The feeding control module 402 is used to control the feeding of each cold material bin based on the target feeding speed of each cold material bin.

[0154] In an exemplary embodiment, the speed determination module is specifically used for:

[0155] Obtain the material level value of each aggregate bin;

[0156] Based on the cold material data model, the current feeding speed of each cold material bin is calculated;

[0157] Compare the material level values ​​of each aggregate bin with the preset material level range;

[0158] Based on the current feeding speed of each cold material bin and the results of the comparisons, the target feeding speed of each cold material bin is determined.

[0159] In an exemplary embodiment, the speed determination module is specifically used for:

[0160] Obtain the unloading speed and material level change rate of each aggregate bin;

[0161] Based on the cold material data model, the unloading speed and material level change rate of each aggregate bin, the current feeding speed of each cold material bin is calculated.

[0162] In an exemplary embodiment, the speed determination module is specifically used for:

[0163] For each aggregate bin, obtain the cold material supply priority corresponding to the aggregate in the aggregate bin. Based on the cold material supply priority, determine the cold material bin with the highest priority among at least one cold material bins that supplies material to the aggregate bin. Based on the unloading speed and material level change rate of the aggregate bin and the content of aggregate in the cold material of the highest priority cold material bin, determine the current feeding speed of the highest priority cold material bin.

[0164] The priority of cold material supply is determined according to the content of aggregate from the aggregate bin in the cold material of each cold material bin. The higher the content of aggregate from the aggregate bin in the cold material of a cold material bin, the higher the priority of the cold material in the cold material bin.

[0165] In an exemplary embodiment, the speed determination module is specifically used for:

[0166] Based on the unloading speed of the aggregate bin and the aggregate content of the aggregate bin in the cold material of the highest priority cold material bin, the first speed corresponding to the highest priority cold material bin is determined.

[0167] Based on the material level change rate of the aggregate bins, determine the second velocity corresponding to the cold aggregate bin with the highest priority;

[0168] Based on the first and second speeds, determine the current feeding speed of the cold material bin with the highest priority.

[0169] In an exemplary embodiment, the speed determination module is specifically used for:

[0170] The first speed corresponding to the highest priority cold silo is determined based on the ratio of the unloading speed of the aggregate silo to the aggregate content of the aggregate silo in the cold material of the highest priority cold silo.

[0171] In an exemplary embodiment, it also includes:

[0172] The detection module is used to detect the material level value of each cold material bin and / or characterize the supply status of whether material is available;

[0173] The speed determination module is specifically used for:

[0174] Based on the cold material supply priority, and based on the material level value of each cold material bin and / or the supply status indicating whether material is available, the cold material bin with the highest priority among at least one available cold material bins for supplying aggregate bins is determined. The available cold material bin is the cold material bin with a material level value greater than a preset material level value and / or a supply status indicating that material is available.

[0175] In an exemplary embodiment, the speed determination module is specifically used for:

[0176] The unloading speed of each aggregate bin is obtained based on the weight of aggregate weighed by the weighing scale corresponding to each aggregate bin and the weighing cycle.

[0177] In an exemplary embodiment, the preset material level range includes a first material level range, a second material level range, and a third material level range where the material level values ​​increase sequentially; the speed determination module is specifically used for:

[0178] If the material level in the aggregate bin is within the first material level range, the current feeding speed of at least one cold hopper supplying the aggregate bin will be increased to obtain the target feeding speed of at least one cold hopper supplying the aggregate bin.

[0179] If the material level in the aggregate bin is within the second material level range, the current feeding speed of at least one cold hopper supplying the aggregate bin will be used as the target feeding speed of at least one cold hopper supplying the aggregate bin.

[0180] If the material level in the aggregate bin is within the third material level range, the current feeding speed of at least one cold hopper supplying the aggregate bin will be reduced to obtain the target feeding speed of at least one cold hopper supplying the aggregate bin.

[0181] In an exemplary embodiment, the speed determination module is further configured to:

[0182] The priority of aggregate supply is determined based on the aggregate demand of each aggregate bin. The greater the aggregate demand of an aggregate bin, the higher the priority of the aggregate supply in that bin.

[0183] Determine the sum of the target feeding speeds for each cold material bin to obtain the total speed;

[0184] If the total speed is greater than the preset speed limit, based on the aggregate supply priority, determine at least one aggregate bin with the lowest priority among all aggregate bins.

[0185] The target feeding speed of at least one cold hopper that supplies at least one aggregate hopper with the lowest priority is reduced so that the total speed is less than or equal to a preset speed limit.

[0186] In an exemplary embodiment, the required amount of aggregate in each aggregate bin is determined based on the proportion of each aggregate in the production formula.

[0187] In an exemplary embodiment, it also includes:

[0188] The input module is used to determine the type of cold material in the cold material bin based on the user's first input operation;

[0189] And / or, based on the user's second input operation, update the content of different aggregates in the cold material of the cold material bin.

[0190] This invention also provides an asphalt mixing plant, including an asphalt mixing plant body and a controller, wherein the controller is used to implement the feeding control method as described in any of the above embodiments.

[0191] Figure 5 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 5As shown, the electronic device may include: a processor 510, a communication interface 520, a memory 530, and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other via the communication bus 540. The processor 510 can call logical instructions in the memory 530 to execute a feeding control method, which includes:

[0192] Based on the cold material data model, the target feeding speed of each cold material bin is determined; each cold material bin is used to supply material to each aggregate bin; the cold material data model includes the content of each aggregate in the cold material of each cold material bin;

[0193] The feeding speed of each cold material bin is controlled based on the target feeding speed of each cold material bin.

[0194] Furthermore, the logical instructions in the aforementioned memory 530 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0195] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, and when the program instructions are executed by a computer, the computer is able to execute the feeding control method provided by the above methods, the method including:

[0196] Based on the cold material data model, the target feeding speed of each cold material bin is determined; each cold material bin is used to supply material to each aggregate bin; the cold material data model includes the content of each aggregate in the cold material of each cold material bin;

[0197] The feeding speed of each cold material bin is controlled based on the target feeding speed of each cold material bin.

[0198] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the aforementioned feeding control methods, the method comprising:

[0199] Based on the cold material data model, the target feeding speed of each cold material bin is determined; each cold material bin is used to supply material to each aggregate bin; the cold material data model includes the content of each aggregate in the cold material of each cold material bin;

[0200] The feeding speed of each cold material bin is controlled based on the target feeding speed of each cold material bin.

[0201] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and 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 modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0202] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0203] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention 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; and these 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 the present invention.

Claims

1. A feeding control method, characterized in that, include: Based on the cold material data model, the target feeding speed for each cold material bin is determined; Each cold material bin is used to supply material to each aggregate bin; the cold material data model includes the content of each aggregate in the cold material of each cold material bin; Based on the target feeding speed of each cold material bin, control the feeding of each cold material bin; The determination of the target feeding speed for each cold material bin based on the cold material data model includes: Obtain the material level value of each aggregate bin; Based on the cold material data model, the current feeding speed of each cold material bin is calculated; The material level value of each aggregate bin is compared with the preset material level range; Based on the current feeding speed of each cold material bin and the results of the comparison, the target feeding speed of each cold material bin is determined. The determination of the target feeding speed for each cold material bin, based on the current feeding speed of each cold material bin and the results of the comparisons, includes: The aggregate supply priority is determined according to the aggregate demand of each aggregate bin. The greater the aggregate demand of a bin, the higher the priority of that bin. The total speed is obtained by summing the target feeding speeds of each cold material bin; If the total speed is greater than the preset speed limit, based on the aggregate supply priority, determine at least one aggregate bin with the lowest aggregate priority in each aggregate bin; The target feeding speed of at least one cold hopper that supplies at least one of the aggregate hoppers with the lowest priority is reduced so that the total speed is less than or equal to the preset speed limit.

2. The feeding control method according to claim 1, characterized in that, The calculation of the current feeding speed of each cold material bin based on the cold material data model includes: Obtain the unloading speed and material level change rate of each aggregate bin; Based on the cold material data model, the unloading speed and material level change rate of each aggregate bin, the current feeding speed of each cold material bin is calculated.

3. The feeding control method according to claim 2, characterized in that, The calculation of the current feeding speed of each cold material silo based on the cold material data model, the unloading speed of each aggregate silo, and the material level change rate includes: For each aggregate bin, the cold material supply priority corresponding to the aggregate in the aggregate bin is obtained. Based on the cold material supply priority, the cold material bin with the highest priority among at least one cold material bins that supplies material to the aggregate bin is determined. Based on the unloading speed and material level change rate of the aggregate bin and the content of each aggregate in the cold material of the cold material of the highest priority cold material bin, the current feeding speed of the highest priority cold material bin is determined. The priority of cold material supply is determined according to the content of each aggregate in the cold material of each cold material bin. The higher the content of each aggregate in the cold material of each cold material bin, the higher the priority of the cold material of that cold material bin.

4. The feeding control method according to claim 3, characterized in that, The determination of the current feeding speed of the highest priority cold aggregate bin based on the unloading speed and level change rate of the aggregate bin, and the content of each aggregate in the cold aggregate of the highest priority cold aggregate bin, includes: Based on the unloading speed of the aggregate bin and the content of each aggregate in the cold material of the highest priority cold material bin, the first speed corresponding to the highest priority cold material bin is determined; Based on the material level change rate of the aggregate bin, determine the second velocity corresponding to the cold aggregate bin with the highest priority; Based on the first speed and the second speed, the current feeding speed of the cold material bin with the highest priority is determined.

5. The feeding control method according to claim 4, characterized in that, The determination of the first speed corresponding to the highest priority cold aggregate bin based on the unloading speed of the aggregate bin and the content of each aggregate in the cold aggregate of the highest priority cold aggregate bin includes: The first speed corresponding to the highest priority cold material bin is determined based on the ratio of the unloading speed of the aggregate bin to the content of each aggregate in the cold material of the highest priority cold material bin.

6. The feeding control method according to claim 3, characterized in that, Also includes: Detect the material level value of each of the aforementioned cold material bins and / or characterize the supply status of whether material is available; The method of determining, based on the cold material supply priority, the cold material bin with the highest priority among at least one cold material bins supplying the aggregate bin includes: Based on the cold material supply priority, and based on the material level value of each cold material bin and / or the supply status indicating whether material is available, the cold material bin with the highest priority among at least one available cold material bin is determined to supply material to the aggregate bin. The available cold material bin is the cold material bin with a material level value greater than a preset material level value and / or a supply status indicating that material is available.

7. The feeding control method according to claim 2, characterized in that, The process of obtaining the unloading speed of each aggregate bin includes: The unloading speed of each aggregate bin is obtained based on the weight of aggregate weighed by the weighing scale corresponding to each aggregate bin and the weighing cycle.

8. The feeding control method according to claim 1, characterized in that, The preset material level range includes a first material level range, a second material level range, and a third material level range where the material level values ​​increase sequentially; The determination of the target feeding speed for each cold material hopper based on the current feeding speed of each cold material hopper and the results of the comparisons further includes: If the material level value of the aggregate bin is within the first material level range, the current feeding speed of at least one cold hopper that supplies material to the aggregate bin will be increased to obtain the target feeding speed of at least one cold hopper that supplies material to the aggregate bin. If the material level value of the aggregate bin is within the second material level range, the current feeding speed of at least one cold hopper that supplies material to the aggregate bin will be used as the target feeding speed of at least one cold hopper that supplies material to the aggregate bin. If the material level value of the aggregate bin is within the third material level range, the current feeding speed of at least one cold hopper supplying the aggregate bin will be reduced to obtain the target feeding speed of at least one cold hopper supplying the aggregate bin.

9. The feeding control method according to claim 8, characterized in that, The required amount of aggregate in each aggregate bin is determined based on the proportion of each aggregate in the production formula.

10. A feeding control device, characterized in that, include: The speed determination module is used to determine the target feeding speed of each cold material bin based on the cold material data model; Each cold material bin is used to supply material to each aggregate bin; the cold material data model includes the content of each aggregate in the cold material of each cold material bin; The feeding control module is used to control the feeding of each cold material bin based on the target feeding speed of each cold material bin; The speed determination module is specifically used to obtain the material level value of each aggregate bin; calculate the current feeding speed of each cold material bin based on the cold material data model; compare the material level value of each aggregate bin with a preset material level range; and determine the target feeding speed of each cold material bin based on the current feeding speed of each cold material bin and the comparison results. The speed determination module is also specifically used to obtain the aggregate supply priority, which is determined according to the aggregate demand of each aggregate bin. The greater the aggregate demand of an aggregate bin, the higher the priority of the aggregate bin. The total speed is obtained by summing the target feeding speeds of each cold material bin; If the total speed is greater than the preset speed limit, based on the aggregate supply priority, determine at least one aggregate bin with the lowest aggregate priority; reduce the target feeding speed of at least one cold hopper that supplies the at least one aggregate bin with the lowest priority, so that the total speed is less than or equal to the preset speed limit.

11. An electronic device 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 program, it implements the feeding control method as described in any one of claims 1 to 9.

12. An asphalt mixing plant, comprising an asphalt mixing plant body and a controller, characterized in that, The controller is used to implement the feeding control method as described in any one of claims 1 to 9.

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