Intelligent dynamic powder selecting machine and control method thereof

Abstract

The application relates to an intelligent dynamic powder selecting machine and a control method thereof. The intelligent online adjustment of the frequency and the sealing distance of the powder selecting machine is realized through the arrangement of a sealing adjusting device, a control system and a material particle size analyzing device, so that the operation frequency and the sealing distance of the powder selecting machine are within the optimal and reasonable range, the electric energy is saved, the qualified rate of the finished product of the powder selecting machine is improved, and the finished product material particle size of the powder selecting machine meets the requirements.

Description

Technical Field

[0001] This application relates to the technical field of cement production, and in particular to an intelligent dynamic air classifier and its control method. Background Technology

[0002] Dynamic air classifiers are used in cement raw material or cement grinding processes. However, due to the influence of preceding processes and the difficulty in controlling the incoming materials from the batching station, the particle size of the finished product may not meet the particle size specifications. Currently, when the material specifications exceed the requirements of the finished product, the air classifier motor frequency is adjusted manually. However, manual adjustment has a significant lag and is often ineffective, with some non-compliant materials already entering the next stage of transportation or storage.

[0003] Due to the high-speed scouring of materials, the labyrinth seal of the air classifier will wear down during operation, causing the seal gap to widen. If it is not replaced in time, coarser materials will escape. Currently, the repair and adjustment of the labyrinth seal of air classifiers on the market requires the machine to be stopped, and it cannot be adjusted online, which affects the continuous and stable operation of the air classifier.

[0004] Meanwhile, the motor frequency of the classifier is difficult to control during operation. If the motor frequency is too low, the particle size of the finished material will be too coarse and will not meet the requirements. If the motor frequency is too high, the particle size of the finished material will be too fine and will reduce the economic efficiency of the system operation. Summary of the Invention

[0005] Based on this, and to address the shortcomings of existing technologies, this application provides an intelligent dynamic air classifier and its control method. By setting up a sealing adjustment device, a control system, and a material particle size analysis device, the air classifier frequency and sealing distance are intelligently adjusted online to ensure that the particle size of the finished material meets the requirements.

[0006] An intelligent dynamic air classifier according to this application includes a drive component, a housing, a shaft system and rotor, a lubrication system, a sealing adjustment device, an air classifier control cabinet, a control system, and a material particle size analyzer. The drive component drives the shaft system and rotor to rotate. The drive component, shaft system, and rotor are all connected to the air classifier control cabinet. The housing, shaft system, rotor, and lubrication system are all connected to the sealing adjustment device. The sealing adjustment device is electrically connected to the control system. The air classifier control cabinet is electrically connected to the control system. The material particle size analyzer is installed on the conveying equipment of the finished product of the air classifier and is electrically connected to the control system.

[0007] In one embodiment, the sealing adjustment device includes an electric push rod, fastening parts, an adjustable upper seal, a fixed lower seal, a guide rail, a locking nut, and a distance sensor. The electric push rod and the adjustable upper seal are connected by the fastening parts. The housing and the guide rail form a linear track structure. A mechanical limit block is provided on the guide rail. The adjustable upper seal has a threaded hole. The distance sensor is fixed to the outer circumference of the adjustable upper seal through the threaded hole and the locking nut. The electric push rod drives the adjustable upper seal to move linearly up and down within the track structure. The distance sensor moves with the adjustable upper seal to monitor the sealing distance between the adjustable upper seal and the fixed lower seal.

[0008] In one embodiment, the control system includes a material particle size prediction module, a drive component operating frequency control module, and a sealing distance control and adjustment module.

[0009] In one embodiment, the communication method between the sealing adjustment device, the air classifier control cabinet, the material particle size analyzer and the control system is the Profibus fieldbus protocol, the 5G remote communication protocol or the CAN protocol.

[0010] In one embodiment, the drive component is a single variable frequency motor or a combination of a variable frequency motor and a speed reducer.

[0011] In one embodiment, the classifier control cabinet is an integrated frequency converter that controls the operating frequency of the drive components.

[0012] In one embodiment, the particle size analysis function of the material particle size analysis device is implemented using an online particle size analyzer.

[0013] This application also includes a control method for an intelligent dynamic air classifier, comprising the following steps:

[0014] S1: Data collection: The current frequency value of the drive component is transmitted to the control system through the classifier control cabinet; the sealing distance value monitored by the sealing adjustment device is communicated to the control system; the material particle size analysis device monitors the particle size value of the finished material collected during the operation of the classifier and communicates the value to the control system.

[0015] S2: Real-time analysis and prediction. The control system analyzes and generates curves based on the collected current frequency values ​​of the drive components, the sealing distance values ​​monitored by the sealing adjustment device, and the particle size values ​​of the finished material monitored by the material particle size analysis device. It integrates artificial intelligence algorithms to achieve predictive reasoning.

[0016] S3: Frequency adjustment feedback. When it is predicted that the particle size of the finished product exceeds the set value or the set range and has an upward trend, the control system controls the classifier control cabinet, and the classifier control cabinet controls the drive components to increase their operating frequency so that the particle size of the finished product selected by the classifier meets the control requirements.

[0017] S4: Distance adjustment feedback. If the particle size of the finished product does not decrease with the increase of frequency after step S3 is executed, a time period T1 is delayed. After time period T1 is reached, the control system triggers the electric push rod in the sealing adjustment device to move downward in a straight line to reduce the sealing distance. Steps S3 and S4 work together to adjust so that the particle size of the finished product selected by the classifier meets the requirements of various working conditions.

[0018] In one embodiment, in step S3, when the operating frequency of the driving component is below 35Hz, the operating frequency is increased by 3% each time, that is, the control system adjusts the output increment by 3%; when the operating frequency of the driving component is between 35-45Hz, the operating frequency is increased by 2% each time, that is, the control system adjusts the output increment by 2%; when the operating frequency of the driving component is between 45-50Hz, the operating frequency is increased by 1% each time, that is, the control system adjusts the output increment by 1%.

[0019] In one embodiment, in step S4, the distance sensor transmits the sealing distance to the control system in real time, and the control system sets a lower limit value for the sealing distance, which is consistent with the mechanical limit distance set on the guide rail.

[0020] Compared with the prior art, the beneficial effects of this application are as follows:

[0021] First, the sealing adjustment device can be automatically adjusted online while the equipment is running, which reduces the phenomenon of material running coarse due to the increased gap caused by wear of the labyrinth seal of the air classifier. At the same time, it extends the service life of the sealing adjustment device, greatly improves the operating efficiency of the equipment, and reduces the operating cost of the equipment.

[0022] Secondly, the dynamic air classifier in this application utilizes an automatic intelligent control system to adjust the operating frequency of its drive components and the vertical movement of its sealing adjustment device to regulate the sealing distance, i.e., to adjust the labyrinth seal spacing. This ensures that the air classifier's operating frequency and sealing distance are within an optimal and reasonable range, saving energy and improving the finished product qualification rate. Depending on different production requirements, the particle size requirements for the selected finished product can be set within the control system to meet diverse needs and reduce the workload of operators.

[0023] Third, the control system in this application can analyze the collected data to form trend curves, make predictions and inferences, guide the operation, and has self-learning ability. When the parameters change, it can test and learn based on the new characteristic parameters that appear, expand the database, and optimize and improve the powder selection efficiency in real time. Attached Figure Description

[0024] Figure 1 This is a schematic diagram of the structure of an intelligent dynamic air classifier according to an embodiment of this application.

[0025] Figure 2 This is a system control diagram according to an embodiment of this application.

[0026] Figure 3 for Figure 1 Enlarged view of point I in the middle.

[0027] Figure 4 This is a schematic diagram showing the installation position of the particle size analysis device in one embodiment of this application.

[0028] Figure 5 This is a schematic flowchart of an embodiment of the intelligent dynamic air classifier of this application.

[0029] Illustrations: 1. Drive unit; 2. Housing; 3. Shaft system and rotor; 4. Lubrication system; 5. Sealing adjustment device; 5-1. Electric push rod; 5-2. Fastening parts; 5-3. Adjustable upper seal; 5-4. Fixed lower seal; 5-5. Guide rail; 5-6. Locking nut; 5-7. Distance sensor; 6. Air classifier control cabinet; 7. Control system; 8. Material particle size analysis device. Detailed Implementation

[0030] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the specific implementation methods of this application will be further described in detail below with reference to the accompanying drawings and embodiments.

[0031] In the description of this application, it should be understood that if terms such as "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential" appear, these terms indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.

[0032] In this application, unless otherwise expressly specified and limited, the terms "installation," "connection," "joining," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical signal connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise expressly limited. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0033] It should be noted that if an element is referred to as being "fixed to" or "set on" another element, it can be directly on the other element or there may be an intervening element. If an element is considered to be "connected to" another element, it can be directly connected to the other element or there may be an intervening element. If so, the terms "vertical," "horizontal," "upper," "lower," "left," "right," and similar expressions used in this application are for illustrative purposes only and do not represent the only possible implementation.

[0034] See Figure 1 , Figure 1 A schematic diagram of an intelligent dynamic air classifier according to an embodiment of this application is shown. The intelligent dynamic air classifier provided in this embodiment includes a drive component 1, a housing 2, a shaft system and rotor 3, a lubrication system 4, a sealing adjustment device 5, an air classifier control cabinet 6, a control system 7, and a material particle size analysis device 8. The drive component 1 drives the shaft system and rotor 3 to rotate. The drive component 1 and the shaft system and rotor 3 are all connected to the air classifier control cabinet 6. The housing 2, the shaft system and rotor 3, and the lubrication system 4 are all connected to the sealing adjustment device 5. The sealing adjustment device 5 is electrically connected to the control system 7. The air classifier control cabinet 6 is electrically connected to the control system 7. The material particle size analysis device 8 is installed on the conveying equipment of the finished product of the air classifier and is electrically connected to the control system 7.

[0035] Combination Figure 2 and Figure 3 As shown, Figure 2 A system control diagram according to an embodiment of this application is shown. Figure 3 for Figure 1 An enlarged view of the sealing adjustment device at point I shows that, in one embodiment, the sealing adjustment device 5 includes an electric push rod 5-1, a fastening part 5-2, an adjustable upper seal 5-3, a fixed lower seal 5-4, a guide rail 5-5, a locking nut 5-6, and a distance sensor 5-7. The electric push rod 5-1 and the adjustable upper seal 5-3 are connected by the fastening part 5-2. The housing 2 and the guide rail 5-5 form a linear track structure. A mechanical limit block is provided on the guide rail 5-5 as the overall mechanical limit structure of the sealing adjustment device. The adjustable upper seal 5-3 is provided with a threaded hole. The distance sensor 5-7 is fixed to the outer circle of the adjustable upper seal 5-3 through the threaded hole and the locking nut 5-6. The electric push rod drives the adjustable upper seal to move linearly up and down within the track structure, controlling the sealing distance between the adjustable upper seal 5-3 and the fixed lower seal 5-4. The distance sensor moves with the adjustable upper seal to monitor the sealing distance between the adjustable upper seal and the fixed lower seal.

[0036] Furthermore, the control system 7 includes a material particle size prediction module, a drive component operating frequency control module, and a sealing distance control and adjustment module.

[0037] Furthermore, the communication methods between the sealing adjustment device 5, the powder classifier control cabinet 6, the material particle size analysis device 8 and the control system 7 are Profibus fieldbus protocol, 5G remote communication protocol or CAN protocol.

[0038] Furthermore, the drive component 1 is a single variable frequency motor or a combination of a variable frequency motor and a reducer.

[0039] Furthermore, the air classifier control cabinet 6 is an integrated frequency converter, which controls the operating frequency of the drive component 1.

[0040] Furthermore, the particle size analysis function of the material particle size analysis device 8 is implemented using an online particle size analyzer.

[0041] Figure 5 This paper shows a flowchart of an intelligent dynamic air classifier according to an embodiment of this application, in conjunction with... Figure 5 This application also includes a control method for an intelligent dynamic air classifier, comprising the following steps:

[0042] S1: Data collection, the current frequency value of the drive component 1 is transmitted to the control system 7 through the classifier control cabinet 6, the sealing distance value monitored by the sealing adjustment device 5 is communicated to the control system 7, and the material particle size analysis device 8 monitors the particle size value of the finished material collected during the operation of the classifier and communicates the value to the control system 7.

[0043] S2: Real-time analysis and prediction. The control system 7 analyzes and forms curves based on the current frequency value of the drive component 1, the sealing distance value monitored by the sealing adjustment device 5, and the finished material particle size value monitored by the material particle size analysis device 8. It integrates artificial AI algorithms to achieve predictive reasoning.

[0044] S3: Frequency adjustment feedback. When it is predicted that the particle size of the finished product exceeds the set value or the set range and has an upward trend, the control system 7 controls the classifier control cabinet 6, and the classifier control cabinet 6 controls the drive component 1 to increase its operating frequency so that the particle size of the finished product selected by the classifier meets the control requirements.

[0045] S4: Distance adjustment feedback. If the particle size of the finished product does not decrease with the increase of frequency after step S3 is executed, a time period T1 is delayed. After time period T1 is reached, the control system 7 is triggered to control the electric push rod 5-1 in the sealing adjustment device 5 to move downward in a straight line to reduce the sealing distance. Steps S3 and S4 are coordinated to adjust each other so that the particle size of the finished product selected by the classifier meets the requirements of various working conditions.

[0046] Furthermore, in step S3, when the operating frequency of the drive component 1 is below 35Hz, the operating frequency is increased by 3% each time, that is, the output adjustment increment of the control system 7 is 3%; when the operating frequency of the drive component 1 is between 35-45Hz, the operating frequency is increased by 2% each time, that is, the output adjustment increment of the control system 7 is 2%; when the operating frequency of the drive component 1 is between 45-50Hz, the operating frequency is increased by 1% each time, that is, the output adjustment increment of the control system 7 is 1%. In this way, by adjusting the operating frequency of the drive component 1, the particle size of the finished material selected by the classifier meets the set requirements and is in a relatively reasonable and stable state.

[0047] Furthermore, in step S4, the distance sensor 5-7 transmits the sealing distance to the control system 7 in real time. The control system 7 sets a lower limit value for the sealing distance, which is consistent with the mechanical limit distance set on the guide rail 5-5, to ensure that the mechanical structure is within a reasonable and safe operating range when the sealing distance is adjusted.

[0048] The control system 7 controls the sealing adjustment device 5. When it is predicted that the particle size of the material exceeds the set value (or set range) and has an upward trend, it prioritizes increasing the operating frequency of the drive component 1. If the particle size does not decrease with the increase in frequency, it delays for a time period T1. After time period T1 is reached, it triggers the electric push rod 5-1 in the sealing adjustment device 5 to move downward linearly, causing the adjustable upper seal 5-3 to move downward and reduce the sealing distance. The control system 7 sends a downward adjustment output increment of 10% to the electric push rod 5-1, and the distance sensor 5-7 transmits the sealing distance to the control system 7 in real time. The control system 7 sets a lower limit value for the sealing distance, which is consistent with the mechanical limit distance set on the guide rail 5-5, ensuring that the mechanical structure is within a reasonable and safe operating range when adjusting the sealing distance.

[0049] In one embodiment, taking cement raw meal as an example, the particle size requirement for cement raw meal is 12%-20% residue on an 80-micron sieve. When it is predicted that the particle size of the material exceeds the set range (80-micron sieve residue > 20%) and has an upward trend, the control system 7 controls the classifier control cabinet 6, and the classifier control cabinet 6 controls the drive component 1 to increase its operating frequency. If the particle size does not decrease with the increase in frequency, a time period T1 is delayed. After the time period T1 is reached, the control system 7 triggers the electric push rod 5-1 in the sealing adjustment device 5 to move downward in a straight line to reduce the sealing distance. The two adjustments work together to ensure that the particle size of the material selected by the classifier meets the requirements of various working conditions.

[0050] Furthermore, the distance sensor 5-7 detects the sealing distance = L + C (constant); where L is the labyrinth sealing distance, and C is the distance from the lower surface of the adjustable upper seal 5-3 to the sensing surface of the distance sensor 5-7. In different embodiments, the value of C is inconsistent and is determined according to the structural design.

[0051] After the implementation of this application, the sealing adjustment device will be automatically adjusted online, which will extend the service life of the sealing adjustment device, improve the operating efficiency of the equipment, and reduce the operating cost of the equipment. The automatic intelligent control of the classifier will control the operating frequency of the drive components and adjust the distance of the online sealing device (i.e., the labyrinth seal spacing) in real time, so that the classifier frequency and sealing distance are within the optimal reasonable range, reducing the labor intensity of the central control operator. The control system will predict the trend in advance based on the intelligent algorithm and intervene in advance to adjust the frequency and sealing distance, thereby improving the finished product qualification rate of the classifier.

[0052] In addition, the central control operator can also control the operating frequency of the drive components and the distance parameters of the sealing adjustment device on the control system. Compared with other powder classifiers, the particle size adjustment is more intelligent.

[0053] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0054] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A control method of an intelligent dynamic powder selector, characterized in that: The intelligent dynamic powder classifier comprises a driving component (1), a shell (2), a shaft system and a rotor part (3), a lubricating system (4), a sealing adjusting device (5), a powder classifier control cabinet (6), a control system (7) and a material particle size analysis device (8); the driving component (1) drives the shaft system and the rotor part (3) to rotate; the driving component (1) and the shaft system and the rotor part (3) are connected with the powder classifier control cabinet (6); the shell (2), the shaft system and the rotor part (3) and the lubricating system (4) are connected with the sealing adjusting device (5); the sealing adjusting device (5) and the control system (7) are electrically connected; the powder classifier control cabinet (6) is electrically connected with the control system (7); the material particle size analysis device (8) is arranged on a conveying equipment of a finished product of the powder classifier and is electrically connected with the control system (7); the sealing adjusting device (5) comprises an electric push rod (5-1), a fastening part (5-2), an adjustable upper sealing part (5-3), a fixed lower sealing part (5-4), a guide rail (5-5), a locking nut (5-6) and a distance sensor (5-7); the electric push rod (5-1) and the adjustable upper sealing part (5-3) are connected through the fastening part (5-2); the shell (2) and the guide rail (5-5) form a linear rail structure, the guide rail (5-5) is provided with a mechanical limiting block, the adjustable upper sealing part (5-3) is provided with a threaded hole, and the distance sensor (5-7) is fixed at an outer circle of the adjustable upper sealing part (5-3) through the threaded hole and the locking nut (5-6); The control method of the intelligent dynamic powder classifier comprises the following steps: S1: data collection, the current frequency value of the driving component (1) is transmitted to the control system (7) through the powder classifier control cabinet (6), the sealing distance value monitored by the sealing adjusting device (5) is communicated to the control system (7), and the finished product material particle size value collected when the powder classifier operates is monitored by the material particle size analysis device (8) and communicated to the control system (7); S2: real-time analysis and prediction, the control system (7) analyzes the current frequency value of the driving component (1), the sealing distance value monitored by the sealing adjusting device (5) and the finished product material particle size value monitored by the material particle size analysis device (8) and forms a curve, and an artificial AI algorithm is collected to achieve prediction reasoning; S3: frequency adjustment feedback, when the finished product material particle size exceeds the set value or the set range and has an upward trend, the control system (7) controls the powder classifier control cabinet (6), the powder classifier control cabinet (6) controls the driving component (1) to increase the operating frequency, so that the material particle size of the finished product selected by the powder classifier meets the control requirements; S4: distance adjustment feedback, if the finished product material particle size does not decrease with the increase of the frequency after step S3 is executed, delay a time period T1, after the time period T1 reaches, trigger the control system (7) to control the electric push rod (5-1) in the sealing adjusting device (5) to move downward to reduce the sealing distance, and steps S3 and S4 are adjusted in cooperation to make the material particle size of the finished product selected by the powder classifier meet the use requirements of various working conditions.

2. The control method of the intelligent dynamic powder selecting machine according to claim 1, characterized in that: The control system (7) comprises a material particle size pre-judging module, a driving component running frequency control module and a sealing distance control adjusting module.

3. The control method of the intelligent dynamic powder selecting machine according to claim 1, characterized in that: The communication mode between the sealing adjusting device (5), the powder concentrator control cabinet (6), the material particle size analyzing device (8) and the control system (7) is a Profibus protocol, a 5G remote communication protocol or a CAN protocol.

4. The control method of the intelligent dynamic powder selector according to claim 1, characterized in that: The driving component (1) is a single variable frequency motor.

5. The control method of the intelligent dynamic powder selector according to claim 1, characterized in that: The powder concentrator control cabinet (6) is an integrated frequency converter, which controls the running frequency of the driving component (1).

6. The control method of the intelligent dynamic powder selector according to claim 1, characterized in that: The particle size analyzing function of the material particle size analyzing device (8) is realized by an online particle size analyzer.

7. The control method of the intelligent dynamic powder selector according to claim 1, characterized in that: In step S3, when the running frequency of the driving component (1) is below 35 Hz, the running frequency is increased by 3% each time, and the control system (7) adjusts the output increment by 3%; when the running frequency of the driving component (1) is between 35 Hz and 45 Hz, the running frequency is increased by 2% each time, and the control system (7) adjusts the output increment by 2%; when the running frequency of the driving component (1) is between 45 Hz and 50 Hz, the running frequency is increased by 1% each time, and the control system (7) adjusts the output increment by 1%.

8. The control method of the intelligent dynamic powder selector according to claim 1, characterized in that: In step S4, the distance sensor (5-7) transmits the sealing distance to the control system (7) in real time, and the control system (7) is provided with a lower limit value of the sealing distance, which is consistent with the mechanical limiting distance set on the guide rail (5-5).

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