A sintering mixture granulation intelligent control method and device and computer control system

Abstract

The application discloses a kind of sintering mixture granulation intelligent control method and device, computer control system, belong to automatic control technical field.The application obtains the average particle size of sintering mixture corresponding to sintering better time according to sintering historical data;The average particle size of sintering mixture is acquired in preset period, and whether the current sintering mixture average particle size is in reasonable interval is judged;If the current mixture average particle size exceeds the upper limit of reasonable particle size, then based on the change amount of mixture moisture value of last period and current period, the water addition of mixer is reduced, so that the current mixture average particle size is reduced;If the current mixture average particle size exceeds the lower limit of reasonable particle size, then based on the change amount of mixture moisture value of last period and current period, the water addition of mixer is increased, so that the current mixture average particle size is increased.The application solves the technical problem of poor adjustment precision of existing sintering mixture granulation intelligent control, and realizes the intelligent control of sintering mixture granulation.

Description

Technical Field

[0001] This invention relates to the field of automatic control technology, and in particular to an intelligent control method and apparatus for granulation of sintered mixtures, and a computer control system. Background Technology

[0002] Sintering is a fundamental step in the steel industry, providing high-quality raw materials for ironmaking. The sintering process involves batching, mixing, and granulating iron-containing raw materials, followed by high-temperature roasting (≤1400℃) in a sintering machine under vacuum. This process causes a series of physicochemical changes in the materials, resulting in the formation of porous, blocky sintered ore with a certain strength. The mixture, after passing through a granulator, forms non-powdered materials with specific particle shapes, ensuring good permeability and energy efficiency during roasting in the sintering machine, and also contributing to improved yield and quality of the sintered ore.

[0003] The granulation process of sintering mixtures is a crucial step in the sintering production process. The quality of granulation directly affects the permeability of the sintering process and the control of subsequent sintering parameters, thus impacting the quality, yield, and energy consumption of the finished sinter. Currently, sintering granulation is mostly a simple mixing and granulation of the sintering mixture under the solidification of process equipment. Due to the lack of intelligent control over granulation, the precision of granulation control is poor, which hinders the improvement of sintering permeability and the increase in production while reducing energy consumption.

[0004] A search revealed that patent application CN202111222752.9 discloses a method and system for real-time optimization and control of particle size in sintered mixtures. This application obtains the proportion of each particle size in the target mixture and real-time sample data, inputs this data into a pre-established ANN neural network model, generates predicted values ​​for the pelletizer speed or water supply, calculates the mean square error corresponding to the predicted values, and outputs the target values ​​for the pelletizer speed or water supply. Adjustments are then made based on these target values. This application enables the acquisition of pelletizer speed or water supply adjustment parameters according to actual production needs, thereby obtaining the proportion of each particle size in the target mixture.

[0005] For example, Chinese patent application CN202010212398.0 discloses a moisture and particle size detection robot system and a sintering mixing and granulation control method and system. This application uses a robot system to detect the moisture content of a first sample in a first sample cup and calculate its moisture content. It then performs particle size detection on a second sample in a second sample cup to determine its particle size distribution. The mixing and granulation control system makes a judgment based on the robot system's detection results. If it determines that the moisture content of the first sample does not meet a preset moisture threshold range, or that the particle size distribution of the second sample does not meet a preset particle size threshold range, it adjusts the process parameters of the mixer when mixing and granulating the sintered material based on a preset control strategy. Therefore, this application can adjust the mixer's process parameters according to the moisture content and particle size distribution of the mixture, so that the mixer with adjusted process parameters can produce a mixture that meets the process requirements.

[0006] However, the aforementioned applications all obtain the particle size composition of the sintering mixture through indirect methods. Furthermore, since the parameters of the sintering batching and the characteristics of the raw materials change at any time, the real-time performance and accuracy of the adjustments are somewhat lacking, and they cannot fully meet the needs of actual sintering production. Summary of the Invention

[0007] 1. The technical problem that the invention aims to solve

[0008] In view of the shortcomings of the prior art, the present invention provides an intelligent control method and device for sintering mixture granulation and a computer control system. The present invention solves the technical problem of poor adjustment accuracy of existing intelligent control for sintering mixture granulation and realizes intelligent control of sintering mixture granulation.

[0009] 2. Technical Solution

[0010] To achieve the above objectives, the technical solution provided by this invention is as follows:

[0011] This invention discloses an intelligent control method for granulation of sintering mixtures. The method obtains the average particle size of the sintering mixture when the sintering yield and permeability are optimal based on historical sintering production data. Within a preset period, an online particle size detection device and analysis system are used to obtain the average particle size of the sintering mixture. Based on the online detected average particle size, the method determines whether the current average particle size of the sintering mixture is within the aforementioned optimal reasonable range. If the current average particle size is determined to be too large, exceeding the upper limit of the reasonable particle size, the water addition to the mixer is reduced based on the change in the moisture content of the mixture between the previous and current periods, thereby reducing the current average particle size. If the current average particle size is determined to be too small, exceeding the lower limit of the reasonable particle size, the water addition to the mixer is increased based on the change in the moisture content of the mixture between the previous and current periods, thereby increasing the current average particle size.

[0012] Furthermore, an online particle size image recognition system for sintered mixtures is used to acquire images of the sintered mixtures. The images are processed to segment and obtain the size distribution of the mixture particles. After correction, the average particle size of the mixture is calculated. The average value of the online detection values ​​of the particle size of the sintered mixture is obtained within a preset period. Based on this average value, it is determined whether the particle size of the current sintered mixture is within a reasonable range.

[0013] Furthermore, the moisture content of the sintering mixture and / or the rotation speed of the mixer are controlled. The moisture content of the sintering mixture is obtained by detecting it with a microwave or infrared online moisture meter after the primary and secondary mixers, and is adjusted by adjusting the amount of water added in the primary and secondary mixers. The rotation speed of the primary and secondary mixers is controlled by motor frequency conversion.

[0014] Furthermore, the particle size of the sintered mixture is preferably controlled by adjusting the moisture content within a reasonable range. When the moisture content of the sintered mixture exceeds the suitable range, the particle size of the sintered mixture is controlled by adjusting the speed of the mixer.

[0015] Furthermore, the specific process for adjusting the average particle size of the sintering mixture is as follows:

[0016] If the current average particle size of the mixture exceeds the upper or lower limit of the suitable average particle size of the mixture, the change in the moisture content of the mixture is determined based on the change in the moisture content of the mixture between the previous cycle and the current cycle, the suitable range of the average particle size of the sintered mixture, and the current average particle size of the sintered mixture. Based on the change in the moisture content of the mixture, the amount of water added to the sintering mixer is adjusted.

[0017] The change in moisture content of the mixture is calculated using the following formula:

[0018] Δf=a*ε―b*δ

[0019] Where Δf is the change in moisture content of the mixture; a and b are coefficients; ε is the difference between the current average particle size of the sintered mixture and the suitable range of the average particle size of the sintered mixture; and δ is the change in moisture content of the mixture between the previous cycle and the current cycle.

[0020] Furthermore, to ensure that the change in moisture content of the sintering mixture is within a reasonable range, the change in moisture content of the mixture is corrected to obtain the actual change in moisture content of the mixture:

[0021] When Δf×ε>0, ΔF=Δf; when Δf×ε≤0, ΔF=0.

[0022] Furthermore, when ΔSmax > ΔS > ΔSmin, the average particle size of the sintered mixture is within a suitable range, and the current state is maintained. When ΔSmax ≤ ΔS, the average particle size of the sintered mixture is too large. ΔF is calculated, and the moisture content of the mixture is adjusted. If the moisture content of the mixture reaches the lower limit of the suitable moisture content of the sintered mixture, and the average particle size of the sintered mixture is still too large, the mixer speed is increased. If the average particle size of the sintered mixture is still too large after the mixer speed reaches the set upper limit, an alarm message is issued through the alarm device to promptly notify the staff. When ΔSmin > ΔS, the particle size of the sintered mixture is too small. ΔF is calculated, and the moisture content of the mixture is adjusted. If the moisture content of the mixture reaches the upper limit of the suitable moisture content of the sintered mixture, and the average particle size of the sintered mixture is still too small, the mixer speed is decreased. If the average particle size of the sintered mixture is still too small after the mixer speed reaches the set lower limit, an alarm message is issued through the alarm device to promptly notify the staff.

[0023] Furthermore, the moisture content of the sintered mixture is interlocked with the water flow regulating valves of the primary and secondary mixers, wherein the water added to the primary mixer is 70-80% of the total water added, and the water added to the secondary mixer is 30-20% of the total water added.

[0024] The present invention provides an intelligent control device for granulation of sintered mixtures, comprising:

[0025] The online particle size detection and image control processing unit for the mixed material realizes image acquisition, processing, and automatic calculation of the particle size of the sintered mixed material after the secondary mixer;

[0026] The online moisture detection unit for the mixed material is used for online detection of the moisture content of the sintered mixed material on the belt after the primary and secondary mixers, and its data is incorporated into the automatic adjustment program.

[0027] The judgment and processing unit is used to judge whether the particle size of the mixture detected online is within a reasonable range, whether the moisture value of the mixture is within a reasonable range, and whether the speed of the mixer is within a set range, and to perform judgment and processing according to the control process described above.

[0028] The first control unit is used to control the interlocking adjustment of the water flow regulating valves of the primary and secondary mixers based on the change in the moisture value of the mixture between the previous cycle and the current cycle when the average particle size of the current sintering mixture is too large or too small, so as to achieve the adjustment of the moisture value of the mixture and thus optimize the reasonable trend of the particle size of the sintering mixture.

[0029] The second control unit is used to control the interlocking adjustment of the water flow regulating valves of the primary and secondary mixers based on the change in the moisture value of the mixture between the previous and current cycles when the average particle size of the current sintering mixture is too large or too small. It also determines whether the moisture value of the mixture has reached its limit according to the trend adjustment, and realizes the interlocking control adjustment of the speed of the primary and secondary mixers, thereby optimizing the reasonable trend improvement of the particle size of the sintering mixture.

[0030] The present invention provides a computer control system comprising: a memory, a processor, and code stored in the memory and executable on the processor, wherein the processor, when executing the code, implements intelligent control of the granulation of the sintered mixture; a bus links various circuits of one or more processors and the memory together; a bus interface provides an interface between the bus and receivers and transmitters; receivers and transmitters provide units for communicating with various other devices over a transmission medium; the processor is responsible for managing the bus and general processing, while the memory is used to store data used by the processor when performing operations.

[0031] 3. Beneficial effects

[0032] Compared with existing known technologies, the technical solution provided by this invention has the following significant advantages:

[0033] (1) The present invention provides an intelligent control method for granulation of sintering mixtures. First, the average particle size of the sintering mixture is obtained based on historical data of sintering production when the sintering quality and process permeability are good. Then, the average particle size of the sintering mixture is obtained using an online particle size detection device and analysis system. The method determines whether the current average particle size of the sintering mixture is within a reasonable range. This method can directly obtain the particle size of the sintering mixture and is a real-time online judgment method. It not only solves the problem of poor adjustment accuracy of existing intelligent control for granulation of sintering mixtures, but also realizes intelligent control of granulation of sintering mixtures.

[0034] (2) The intelligent control method for granulation of sintering mixture of the present invention can significantly improve the original permeability of the sintering process and keep it within a reasonable range suitable for the sintering process and index optimization, thereby achieving increased sintering production and improved physical quality indicators. Attached Figure Description

[0035] Figure 1A schematic diagram of the intelligent control process for granulation of sintered mixtures;

[0036] Figure 2 Schematic diagram of an intelligent control device for granulation of sintered mixtures;

[0037] Figure 3 This is a schematic diagram of a bus architecture. Detailed Implementation

[0038] This invention provides an intelligent control method and apparatus for granulation of sintered mixtures, addressing the problem of poor adjustment accuracy in existing intelligent control methods for granulation of sintered mixtures, and achieving intelligent control of granulation of sintered mixtures. The overall control process of this invention is as follows:

[0039] Based on historical data from sintering production, the average particle size of the sintered mixture is obtained when the sintering yield and quality (sintered ore output and quality indicators) and process permeability are optimal. Within a preset period, the average particle size of the sintered mixture is obtained using an online particle size detection device and analysis system. Based on the online detected average particle size, it is determined whether the current average particle size of the sintered mixture is within the aforementioned optimal reasonable range. If it is determined that the current average particle size is too large, exceeding the upper limit of the reasonable particle size, the water addition to the mixer is reduced based on the change in the moisture content of the mixture between the previous and current periods, thereby reducing the current average particle size. If it is determined that the current average particle size is too small, exceeding the lower limit of the reasonable particle size, the water addition to the mixer is increased based on the change in the moisture content of the mixture between the previous and current periods, thereby increasing the current average particle size.

[0040] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0041] Example 1

[0042] This embodiment provides an intelligent control method for granulation of sintering mixtures, which can be applied to the control of water addition and rotation speed of a sintering mixer. The sintering mixer may include a primary sintering mixer, a secondary sintering mixer and its water addition device, an online moisture detection device for the mixture, and an online particle size detection device for the mixture after the secondary mixer.

[0043] This embodiment includes the following steps:

[0044] Step S101: Using the online image recognition system for particle size distribution of the mixture above the conveyor belt of the secondary mixer, images of the corresponding sintered mixture are acquired. The light source of the image recognition system is an LED light source. It employs an improved Canny algorithm, which, based on the acquired grayscale image, uses bilateral filtering to process the image. The spatial domain standard deviation is 60, and the value domain standard deviation is 80. After processing, particle details become blurred, while particle edges are preserved, the grayscale gradients of similar areas become closer, and the contrast between the target and the background is enhanced.

[0045] Building upon this, an improved adaptive thresholding algorithm is employed, incorporating an integral image processing step, which significantly enhances the thresholding performance. The binary image after the improved adaptive thresholding undergoes morphological optimization. First, opening and closing operations are performed to remove remaining black areas and fine white particles. Then, several erosion operations are applied to minimize particle adhesion. Finally, a dilation operation restores the original size of each particle using a 3×3 convolution kernel, with three iterations. The image is then further processed using a distance transform function to improve morphological optimization and enhance image segmentation accuracy. Image segmentation yields the particle size distribution, which, after correction, is used to calculate the average particle size of the mixture.

[0046] Step S102: Obtain the average value of the online particle size detection of the sintered mixture within a preset period.

[0047] Step S103: Based on historical data of sintering production, obtain the reasonable range of average particle size of the sintering mixture when the sintering quality and process permeability are good.

[0048] Step S104: Determine whether the particle size of the current sintered mixture is within the reasonable range mentioned above based on the average value of the particle size obtained from online detection of the sintered mixture. Images of the sintered mixture can be continuously acquired within a preset period, and the calculated particle size value and its average value of the sintered mixture within the preset period can be obtained through image processing.

[0049] Step S105: Determine whether the average particle size of the sintered mixture within the preset period is within a reasonable range of the average particle size of the sintered mixture.

[0050] Step S106: Control the moisture content of the sintering mixture and / or the rotation speed of the mixer. The moisture content of the sintering mixture is obtained by microwave or infrared online moisture meter after the primary and secondary mixers, and is adjusted by adjusting the water addition of the primary and secondary mixers. The rotation speed of the primary and secondary mixers is achieved by frequency conversion of their motors.

[0051] Step S107: During normal sintering production, the moisture content of the sintering mixture is within a certain reasonable range. It is preferable to adjust the moisture content of the sintering mixture within the above reasonable range to achieve reasonable control of the particle size of the sintering mixture. When the moisture content of the sintering mixture exceeds the suitable range, the particle size of the sintering mixture is controlled by adjusting the speed of the mixer.

[0052] like Figure 1 As shown, the specific adjustment method is as follows:

[0053] If the current average particle size of the mixture exceeds the upper or lower limit of the suitable average particle size of the mixture, the change in the moisture content of the mixture can be determined based on the change in the moisture content of the mixture between the previous and current cycles, the suitable range of the average particle size of the sintered mixture, and the current average particle size of the sintered mixture. Based on the change in the moisture content of the mixture, the amount of water added to the sintering mixer can be adjusted.

[0054] In some implementation methods, the change in moisture content of the mixture can be calculated using the following formula:

[0055] Δf=a*ε―b*δ

[0056] Where Δf is the change in moisture content of the mixture; a and b are coefficients; ε is the difference between the current average particle size of the sintered mixture and the suitable range of the average particle size of the sintered mixture; and δ is the change in moisture content of the mixture between the previous cycle and the current cycle.

[0057] Specifically, ε can be determined by the following formula: when ΔS > ΔSmax, ε = ΔSmax - ΔS; when ΔS < ΔSmin, ε = ΔSmin - ΔS

[0058] In the formula, ΔSmax is the upper limit of the suitable range of average particle size of the sintered mixture; ΔSmin is the lower limit of the suitable range of average particle size of the sintered mixture; and ΔS is the current average particle size of the sintered mixture.

[0059] To ensure that the change in moisture content of the sintering mixture is within a reasonable range, the change in moisture content of the mixture is corrected to obtain the actual change in moisture content of the mixture:

[0060] When Δf×ε>0, ΔF=Δf; when Δf×ε≤0, ΔF=0

[0061] The moisture content of the sintered mixture is interlocked with the water flow regulating valves of the primary and secondary mixers. The water added to the primary mixer is about 70-80% of the total water added, and the water added to the secondary mixer is about 30-20% of the total water added.

[0062] The specific control process is as follows:

[0063] When ΔSmax > ΔS > ΔSmin, the average particle size of the sintered mixture is within a suitable range, and the current state is maintained. When ΔSmax ≤ ΔS, the average particle size of the sintered mixture is too large. Calculate ΔF and adjust the moisture content of the mixture. If the average particle size of the sintered mixture is still too large when the moisture content reaches the lower limit of the suitable moisture content, increase the mixer speed. If the average particle size of the sintered mixture is still too large after the mixer speed reaches the upper limit, an alarm message can be issued through the alarm device to promptly notify the staff. When ΔSmin > ΔS, the particle size of the sintered mixture is too small. Calculate ΔF and adjust the moisture content of the mixture. If the average particle size of the sintered mixture is still too small when the moisture content reaches the upper limit of the suitable moisture content, decrease the mixer speed. If the average particle size of the sintered mixture is still too small after the mixer speed reaches the lower limit, an alarm message can be issued through the alarm device to promptly notify the staff.

[0064] This embodiment solves the problem of poor adjustment accuracy in existing intelligent control systems for sintering mixture granulation by providing intelligent control, thus achieving intelligent control of sintering mixture granulation. It can significantly improve the initial permeability of the sintering process, placing it within a reasonable range suitable for sintering progress and index optimization, thereby achieving increased sintering production and improved product quality indicators. After implementation, the sintering utilization coefficient increased by 0.009 t / m²h year-on-year, the main pumping power consumption decreased by 0.5 kWh / t year-on-year, the sinter yield increased by 0.82%, and the sinter strength increased by 0.14%.

[0065] Table 1 Comparison of Implementation Results

[0066]

[0067] Example 2

[0068] See Figure 2 This embodiment provides an intelligent control device for granulation of sintered mixtures, which can be used to control and adjust the granulation effect of sintered mixtures. It includes:

[0069] The online particle size detection and image control processing unit 201 of the mixture realizes the functions of image acquisition, processing and automatic calculation of particle size of sintered mixture after secondary mixing.

[0070] The online moisture detection unit 202 for the mixture includes online detection of the moisture content of the sintered mixture on the belt after the primary and secondary mixers, and the data is incorporated into the automatic adjustment program.

[0071] The judgment and processing unit 203 is mainly used to judge whether the particle size of the mixture detected online is within a reasonable range, whether the moisture value of the mixture is within a reasonable range, and whether the speed of the mixer is within the set range, and to perform judgment and processing according to the above control process.

[0072] The first control unit 204 is used to control the interlocking adjustment of the water flow regulating valves of the primary and secondary mixers based on the change in the moisture value of the mixture between the previous cycle and the current cycle when the average particle size of the current sintering mixture is too large or too small, so as to achieve the adjustment of the moisture value of the mixture and thus optimize the reasonable trend of the particle size of the sintering mixture.

[0073] The second control unit 205 is used to control the interlocking adjustment of the water flow regulating valves of the primary and secondary mixers based on the change in the moisture value of the mixture between the previous cycle and the current cycle when the average particle size of the current sintering mixture is too large or too small. It also determines whether the moisture value of the mixture has reached the limit of the trend adjustment and realizes the interlocking control adjustment of the speed of the primary and secondary mixers, thereby optimizing the reasonable trend improvement of the particle size of the sintering mixture.

[0074] Example 3

[0075] See Figure 3 The computer control system provided in this embodiment includes: a memory 301, a processor 302, and code stored in the memory and capable of running on the processor 302. When the processor 302 executes the code, it implements any of the embodiments in the intelligent control method for granulation of sintered mixture described above.

[0076] Among them, Figure 3 In this embodiment, the bus architecture (represented by bus 300, which may include any number of interconnected buses and bridges) links various circuits, including one or more processors represented by processor 302 and memory represented by memory 301. Bus 300 may also link various other circuits, such as peripherals, voltage regulators, and power management circuits, which are well known in the art and therefore will not be further described in this embodiment. Bus interface 305 provides an interface between bus 300 and receiver 303 and transmitter 304. Receiver 303 and transmitter 304 may be the same element, i.e., a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 301 can be used to store data used by processor 302 during operation.

[0077] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (system 0), and computer products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer instructions. These computer instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0078] These computer instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0079] These computer instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0080] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0081] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for intelligent control of granulation of sintered mixtures, characterized in that: The average particle size of the sintered mixture is obtained based on historical data from sintering production, corresponding to optimal sintered product quality and process permeability. Within a preset period, the average particle size of the sintered mixture is obtained using an online particle size detection and analysis system. Based on the online detected average particle size, it is determined whether the current average particle size of the sintered mixture is within a reasonable range. If the current average particle size is determined to be too large, exceeding the upper limit of the reasonable particle size, the water addition to the mixer is reduced based on the change in the moisture content of the mixture between the previous and current periods, thus decreasing the current average particle size. Conversely, if the current average particle size is determined to be too small, exceeding the lower limit of the reasonable particle size, the water addition to the mixer is increased based on the change in the moisture content of the mixture between the previous and current periods, thereby increasing the current average particle size. The specific process for adjusting the average particle size of the sintering mixture is as follows: If the current average particle size of the mixture exceeds the upper or lower limit of the suitable average particle size of the mixture, the change in the moisture content of the mixture is determined based on the change in the moisture content of the mixture between the previous cycle and the current cycle, the suitable range of the average particle size of the sintered mixture, and the current average particle size of the sintered mixture. Based on the change in the moisture content of the mixture, the amount of water added to the sintering mixer is adjusted. The change in moisture content of the mixture is calculated using the following formula: Where Δf is the change in moisture content of the mixture; a and b are coefficients; ε is the difference between the current average particle size of the sintered mixture and the suitable range of the average particle size of the sintered mixture; δ is the change in moisture content of the mixture between the previous cycle and the current cycle. ε is determined by the following formula: when ΔS>ΔSmax, ε=ΔSmax-ΔS; when ΔS<ΔSmin, ε=ΔSmin-ΔS; In the formula, ΔSmax is the upper limit of the suitable range of average particle size of the sintered mixture; ΔSmin is the lower limit of the suitable range of average particle size of the sintered mixture; and ΔS is the current average particle size of the sintered mixture. To ensure that the change in moisture content of the sintering mixture is within a reasonable range, the change in moisture content of the mixture is corrected, resulting in the actual change in moisture content of the mixture, ΔF: When Δf×ε>0, ΔF=Δf; when Δf×ε≤0, ΔF=0. When ΔSmax > ΔS > ΔSmin, the average particle size of the sintered mixture is within a suitable range, and the current state is maintained. When ΔSmax ≤ ΔS, the average particle size of the sintered mixture is too large. ΔF is calculated, and the moisture content of the mixture is adjusted. If the moisture content of the mixture reaches the lower limit of the suitable moisture content for the sintered mixture, and the average particle size is still too large, the mixer speed is increased. If the average particle size of the sintered mixture is still too large after the mixer speed reaches the set upper limit, an alarm message is issued through the alarm device to promptly notify the staff. When ΔSmin > ΔS, the particle size of the sintered mixture is too small. ΔF is calculated, and the moisture content of the mixture is adjusted. If the moisture content of the mixture reaches the upper limit of the suitable moisture content for the sintered mixture, and the average particle size is still too small, the mixer speed is decreased. If the average particle size of the sintered mixture is still too small after the mixer speed reaches the set lower limit, an alarm message is issued through the alarm device to promptly notify the staff.

2. The intelligent control method for granulation of sintered mixtures according to claim 1, characterized in that: An online particle size image recognition system for sintered mixtures is used to acquire images of the sintered mixtures. The images are processed to segment and obtain the size distribution of the mixture particles. After correction, the average particle size of the mixture is calculated. The average value of the online detection values ​​of the particle size of the sintered mixture is obtained within a preset period. Based on this average value, it is determined whether the particle size of the current sintered mixture is within a reasonable range.

3. The intelligent control method for granulation of sintered mixtures according to claim 2, characterized in that: The moisture content of the sintering mixture and / or the rotation speed of the mixer are controlled. The moisture content of the sintering mixture is obtained by microwave or infrared online moisture meter after the primary and secondary mixers, and is adjusted by adjusting the water addition of the primary and secondary mixers. The rotation speed of the primary and secondary mixers is controlled by motor frequency conversion.

4. The intelligent control method for granulation of sintered mixtures according to claim 3, characterized in that: The moisture content of the sintered mixture is interlocked with the water flow regulating valves of the primary and secondary mixers. The water added to the primary mixer is 70-80% of the total water added, and the water added to the secondary mixer is 20-30% of the total water added.

5. An intelligent control device for granulation of sintered mixtures, characterized in that, include: The online particle size detection and image control processing unit (201) of the mixture realizes the image acquisition and processing of the particle size of the sintered mixture after the secondary mixer and the automatic calculation of the particle size of the sintered mixture; The online moisture detection unit (202) for the mixture is used for online detection of the moisture content of the sintered mixture on the belt after the primary and secondary mixers, and its data is incorporated into the automatic adjustment program. The judgment and processing unit (203) is used to judge whether the particle size of the mixture detected online is within a reasonable range, whether the moisture value of the mixture is within a reasonable range, and whether the speed of the mixer is within a set range, and to perform judgment and processing according to the control method described in any one of claims 1-4. The first control unit (204) is used to control the interlocking adjustment of the water flow regulating valves of the primary and secondary mixers based on the change in the moisture value of the mixture between the previous cycle and the current cycle when the average particle size of the current sintering mixture is too large or too small, so as to achieve the adjustment of the moisture value of the mixture and thus optimize the reasonable trend of the particle size of the sintering mixture. The second control unit (205) is used to control the interlocking adjustment of the water flow regulating valves of the primary and secondary mixers based on the change in the moisture value of the mixture between the previous cycle and the current cycle when the average particle size of the current sintering mixture is too large or too small. It also determines whether the moisture value of the mixture has reached the limit of the trend adjustment and realizes the interlocking control adjustment of the speed of the primary and secondary mixers, thereby optimizing the reasonable trend improvement of the particle size of the sintering mixture.

6. A computer control system, characterized in that, include: The processor (302) includes a memory (301), a processor (302), and code stored in the memory (301) and running on the processor (302), which implements the control method of any one of claims 1-4 when executing the code; a bus (300) connects one or more processors and various circuits of the memory (301); a bus interface (305) provides an interface between the bus (300) and the receiver (303) and transmitter (304); the receiver (303) and transmitter (304) provide units for communicating with various other devices over a transmission medium; the processor (302) is responsible for managing the bus (300) and general processing, while the memory (301) is used to store data used by the processor (302) when performing operations.

Images