A tobacco leaf transfer control system and method

Abstract

This application provides a tobacco leaf transport control system and method, which involves real-time monitoring of tobacco leaves in a pneumatic conveying duct; establishing a sampling space for the transport wind speed of tobacco leaves during pneumatic conveying based on the transport position data of the tobacco leaves in the pneumatic conveying duct; determining the constraint boundary of the wind speed acceleration when the tobacco leaves are transported in the sampling space by the change in the rotational speed of the drive motor; identifying the tobacco leaf transport state at each sampling point in the sampling space to obtain the transport efficiency of the tobacco leaves at each sampling point; and determining the airflow guidance field when the tobacco leaves are transported by pneumatic pressure in the pneumatic conveying duct based on the difference in transport efficiency between adjacent sampling points; generating dynamic speed regulation parameters for the transport wind speed of the tobacco leaves during pneumatic pressure conveying by combining the constraint boundary with the airflow guidance field; and constraining the transport speed of the drive motor based on the dynamic speed regulation parameters. Based on the dynamic speed regulation parameters, the above scheme can achieve continuous transport of tobacco leaves in the pneumatic conveying duct.

Description

Technical Field

[0001] This application relates to the field of agricultural product transportation control technology, and more specifically, to a tobacco leaf transport control system and method. Background Technology

[0002] With the development of modern agriculture towards large-scale and industrialized operations, the demand for agricultural product transportation is increasing, and the control of agricultural product transportation is becoming increasingly important. Among them, tobacco leaves, as an important agricultural product, require precise control during transportation to meet production needs. Traditional transportation methods have problems such as low efficiency and easy damage to tobacco leaves. For example, when belt conveyors are used for long-distance transportation, tobacco leaves are prone to uneven accumulation, which affects subsequent processing. Therefore, it is necessary to develop efficient and stable tobacco leaf transportation control technology. This can not only improve production efficiency but also ensure the quality of tobacco leaves and promote the automation and intelligent development of the tobacco industry.

[0003] In existing agricultural product transportation, especially tobacco leaf transportation, the main methods used are belt conveyor and pneumatic conveyor. Belt conveyor uses the continuous operation of the conveyor belt to move the tobacco leaves through friction, and is often used for material transfer in tobacco primary processing workshops. Pneumatic conveyor relies on the airflow generated by the fan to create a negative or positive pressure environment in a closed duct, suspending and transporting the tobacco leaves to the target location. However, in the pneumatic conveying of tobacco leaves, the drive motor is usually controlled by a fixed speed, which makes the wind speed change insensitive and unable to be finely adjusted according to the dynamic position of the tobacco leaves. This coarse control method is prone to creating uneven wind speed in the pneumatic conveying duct, resulting in discontinuous transportation of tobacco leaves. Therefore, how to achieve continuous transportation of tobacco leaves in pneumatic conveying ducts has become a challenge for the industry. Summary of the Invention

[0004] This application provides a tobacco leaf transport control system and method, which can realize the continuous transport of tobacco leaves in a pneumatic conveying duct.

[0005] In a first aspect, this application provides a tobacco leaf transport control method for transporting tobacco leaves in a pneumatic conveying duct by a tobacco leaf transport control system. The tobacco leaf transport control system includes a pneumatic conveying duct and a drive motor. The method includes the following steps:

[0006] Real-time monitoring of tobacco leaves in the air conveying duct;

[0007] Based on the data of the tobacco leaf's position in the pneumatic conveying duct, a sampling space for the wind speed during the pneumatic conveying process of the tobacco leaf is established. Then, the constraint boundary of the wind speed acceleration when the tobacco leaf is conveyed in the sampling space is determined by the change in the rotational speed of the drive motor.

[0008] The tobacco leaf transport status at each sampling point in the sampling space is identified to obtain the transport efficiency of the tobacco leaf at each sampling point. Then, based on the difference in transport efficiency between adjacent sampling points, the airflow guidance field of the tobacco leaf during air pressure transport in the air delivery duct is determined.

[0009] The dynamic speed regulation parameters of the conveying wind speed of tobacco leaves during wind pressure conveying are generated by combining the constraint boundary with the airflow guiding field.

[0010] The delivery speed of the drive motor is constrained based on the dynamic speed regulation parameters.

[0011] In some embodiments, establishing a sampling space for the transport wind speed of the tobacco leaves during pneumatic conveying based on the transport position data of the tobacco leaves in the pneumatic conveying duct specifically includes:

[0012] Collect data on the transport position of tobacco leaves in the pneumatic conveying duct;

[0013] The trajectory of the tobacco leaf in the air conveying duct is obtained by performing trajectory fitting on the conveying position data.

[0014] Based on the motion trajectory, multiple equidistant sampling points are divided along the conveying path of the tobacco leaves;

[0015] Extract the transport wind speed corresponding to each equidistant sampling point to obtain a wind speed change sample set;

[0016] The sampling space for the wind speed during the wind transport process of the tobacco leaves is constructed based on the wind speed change sample set.

[0017] In some embodiments, determining the constraint boundary of wind speed acceleration when tobacco leaves are transported in the sampling space by varying the rotational speed of the drive motor specifically includes:

[0018] Acquire the rotation speed-wind speed change data of tobacco leaves at each sampling point in the sampling space under the condition of change in the rotation speed of the drive motor;

[0019] The acceleration sensitivity coefficient at each sampling point is determined based on the rotational speed-wind speed change data corresponding to each sampling point.

[0020] Calculate the local acceleration corresponding to each sampling point based on the acceleration sensitivity coefficient at each sampling point;

[0021] The constraint boundary of wind speed acceleration is extracted based on all local accelerations when the tobacco leaves are transported in the sampling space.

[0022] In some embodiments, identifying the tobacco leaf transport status at each sampling point in the sampling space to obtain the transport efficiency of the tobacco leaf at each sampling point specifically includes:

[0023] Acquire tobacco leaf motion images at each sampling point in the sampling space;

[0024] Feature recognition is performed on the tobacco leaf motion image at each sampling point to obtain the state features of the tobacco leaf at each sampling point;

[0025] The transport efficiency of the tobacco leaves at each sampling point is calculated based on all state characteristics.

[0026] In some embodiments, determining the airflow guidance field of the tobacco leaves during pneumatic transport in the pneumatic duct based on the difference in transport efficiency between adjacent sampling points specifically includes:

[0027] Calculate the difference in transmission efficiency between adjacent sampling points in the sampling space;

[0028] Construct a transport deviation distribution map within the sampling space based on all the differences;

[0029] Based on the aforementioned transport deviation distribution map, the airflow guidance field is extracted when the tobacco leaves are transported by air pressure in the air delivery duct.

[0030] In some embodiments, generating dynamic speed regulation parameters for the conveying wind speed of tobacco leaves during wind pressure conveying by combining the constraint boundary with the airflow guiding field specifically includes:

[0031] Obtain the current wind speed vector distribution of the airflow steering field;

[0032] The wind speed vector distribution is projected onto the main transport path of the tobacco leaves to obtain the control area of ​​the transport wind speed during the wind pressure transport process of the tobacco leaves;

[0033] Based on the wind speed variation characteristics of the wind speed regulation demand area and the constraint boundary, the dynamic speed regulation parameters of the conveying wind speed of the tobacco leaves during wind pressure conveying are determined.

[0034] In some embodiments, the tobacco leaves in the pneumatic conveying duct are monitored in real time by monitoring sensors, including positioning sensors, speed sensors, and high-speed industrial cameras.

[0035] Secondly, this application provides a tobacco leaf transport control system, including a pneumatic conveying duct and a drive motor. The system further includes a tobacco leaf transport control unit, which includes:

[0036] The monitoring module is used to monitor the tobacco leaves in the air conveying duct in real time;

[0037] The processing module is used to establish a sampling space for the wind speed of the tobacco leaves during the wind conveying process based on the conveying position data of the tobacco leaves in the wind conveying duct, and then determine the constraint boundary of the wind speed acceleration when the tobacco leaves are conveyed in the sampling space by the speed change of the drive motor.

[0038] The processing module is also used to identify the tobacco leaf conveying status at each sampling point in the sampling space, obtain the conveying efficiency of the tobacco leaf at each sampling point, and then determine the airflow guidance field of the tobacco leaf when it is conveyed by air pressure in the air delivery duct based on the difference in conveying efficiency between adjacent sampling points.

[0039] The processing module is also used to generate dynamic speed regulation parameters for the conveying wind speed of tobacco leaves during wind pressure conveying by combining the constraint boundary with the airflow guiding field.

[0040] The execution module is used to constrain the delivery speed of the drive motor based on the dynamic speed regulation parameters.

[0041] Thirdly, this application provides a computer device, the computer device including a memory and a processor, the memory storing code, and the processor being configured to acquire the code and execute the above-described tobacco leaf transport control method.

[0042] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described tobacco leaf transport control method.

[0043] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects:

[0044] The tobacco leaf transport control system and method provided in this application firstly involves real-time monitoring of the tobacco leaves in the pneumatic conveying duct; secondly, establishing a sampling space for the transport wind speed of the tobacco leaves during pneumatic conveying based on the transport position data of the tobacco leaves in the pneumatic conveying duct, and then determining the constraint boundary of the wind speed acceleration when the tobacco leaves are transported in the sampling space by the change in the rotational speed of the drive motor; further, identifying the tobacco leaf transport state at each sampling point in the sampling space to obtain the transport efficiency of the tobacco leaves at each sampling point, and then determining the airflow guidance field when the tobacco leaves are transported by pneumatic pressure in the pneumatic conveying duct based on the difference in transport efficiency between adjacent sampling points; then, generating dynamic speed regulation parameters for the transport wind speed of the tobacco leaves during pneumatic pressure conveying by combining the constraint boundary with the airflow guidance field; finally, constraining the transport rotational speed of the drive motor based on the dynamic speed regulation parameters.

[0045] Therefore, this application can achieve continuous conveying of tobacco leaves in a pneumatic conveying duct. Firstly, based on the position data of the tobacco leaves in the pneumatic conveying duct, a sampling space for the conveying wind speed during the pneumatic conveying process is established to identify the effective monitoring area of ​​the tobacco leaves in the pneumatic conveying duct. This allows for the capture and analysis of the motion characteristics of the tobacco leaves as their position changes along the conveying path, thus providing analytical data for wind speed regulation and refined continuous conveying control of the tobacco leaves. Secondly, by changing the rotational speed of the drive motor, the constraint boundary of the wind speed acceleration during the conveying of the tobacco leaves in the sampling space is determined to effectively limit the rate of wind speed change, preventing sudden wind speed changes from causing the tobacco leaves to swirl, accumulate, or be damaged. This allows for dynamic adjustment of the conveying wind speed, achieving smooth transition and stable control of the wind force, thereby ensuring the continuous and controllable conveying of the tobacco leaves in the pneumatic conveying duct. Furthermore, based on the data of adjacent sampling points... The differences in conveying efficiency between different sections determine the airflow guidance field during pneumatic conveying of tobacco leaves in the pneumatic conveying duct. This identifies sensitive areas within the duct that affect the continuous conveying of tobacco leaves. Based on the conveying status of these sensitive areas, the direction and intensity of the airflow within the duct are adjusted to achieve a more balanced spatial distribution of airflow, effectively guiding the tobacco leaves along a predetermined path and reducing accumulation and flow deviation. Then, by combining the constraint boundary with the airflow guidance field, dynamic speed control parameters for the conveying airflow during pneumatic conveying are generated to limit the conveying speed and rate of change of the drive motor, ensuring that the tobacco leaves operate in the desired state within the pneumatic conveying duct and avoiding discontinuities and accumulation during the conveying process. Finally, the conveying speed of the drive motor is constrained based on the dynamic speed control parameters. In summary, the technical solution provided in this application enables continuous conveying of tobacco leaves within a pneumatic conveying duct. Attached Figure Description

[0046] Figure 1 This is an exemplary flowchart of a tobacco leaf transport control method according to some embodiments of this application;

[0047] Figure 2 This is an exemplary flowchart illustrating the determination of a sampling space according to some embodiments of this application;

[0048] Figure 3 This is an exemplary flowchart illustrating the determination of transport efficiency according to some embodiments of this application;

[0049] Figure 4 This is a schematic diagram of the structure of a tobacco leaf transport control unit according to some embodiments of this application;

[0050] Figure 5 This is a schematic diagram of the structure of a computer device for implementing a tobacco leaf transport control method according to some embodiments of this application. Detailed Implementation

[0051] To better understand the technical solution of this application, the technical solution of this application will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0052] refer to Figure 1 The figure is an exemplary flowchart of a tobacco leaf transport control method according to some embodiments of this application. The tobacco leaf transport control method 100 mainly includes the following steps:

[0053] In step 101, the tobacco leaves in the air conveying duct are monitored in real time.

[0054] In practice, the tobacco leaves in the pneumatic conveying duct are monitored in real time by monitoring sensors, including positioning sensors, speed sensors and high-speed industrial cameras. The monitoring sensors are deployed at multiple key nodes of the pneumatic conveying duct, such as the bends, inlets and outlets of the pneumatic conveying duct.

[0055] It should be noted that, in this application, the term "pneumatic conveying duct" refers to a closed conveying duct structure in tobacco conveying that uses wind power (usually generated by a fan / drive motor) to transport loose tobacco leaves from one process to another. The pneumatic conveying duct is a non-contact, flexible conveying method.

[0056] In step 102, a sampling space for the wind speed of the tobacco leaves during the wind-powered conveying process is established based on the conveying position data of the tobacco leaves in the wind conveying duct. Then, the constraint boundary of the wind speed acceleration when the tobacco leaves are conveyed in the sampling space is determined by the change in the rotational speed of the drive motor.

[0057] It should be noted that the sampling space in this application represents the key conveying nodes and corresponding wind speed state spatial regions that the tobacco leaves experience during the conveying process in the air conveying duct, in order to identify the effective monitoring area of ​​the tobacco leaves in the air conveying duct, thereby capturing and analyzing the motion state characteristics of the tobacco leaves as their position changes along the conveying path, thus providing analytical data for realizing wind speed regulation and refined continuous conveying control of tobacco leaves.

[0058] In some embodiments, reference Figure 2 As shown, this figure is an exemplary flowchart of determining the sampling space according to some embodiments of this application. In this embodiment, the sampling space for the transport wind speed of the tobacco leaves during the wind transport process can be established based on the transport position data of the tobacco leaves in the wind conveying duct, which can be achieved by the following steps:

[0059] First, in step 1021, the transport position data of the tobacco leaves in the air conveying duct is collected;

[0060] Secondly, in step 1022, trajectory fitting is performed on the conveying position data to obtain the movement trajectory of the tobacco leaf in the air conveying duct;

[0061] Furthermore, in step 1023, multiple equidistant sampling points of the tobacco leaves are divided along the conveying path based on the motion trajectory;

[0062] Then, in step 1024, the transport wind speed corresponding to each equidistant sampling point is extracted to obtain a wind speed change sample set;

[0063] Finally, in step 1025, a sampling space for the wind speed of the tobacco leaves during wind transport is constructed based on the wind speed change sample set.

[0064] In specific implementation, firstly, positioning sensors installed inside the air conveying duct collect the conveying position data of the tobacco leaves within the duct, including the coordinates of different positions. Secondly, trajectory fitting is performed on the conveying position data to obtain the movement trajectory of the tobacco leaves in the air conveying duct. Specifically, the coordinates of each position in the conveying position data are connected according to the distance of the tobacco leaf from the air conveying duct inlet, from smallest to largest, to obtain the movement trajectory of the tobacco leaves in the air conveying duct. Further, multiple equidistant sampling points are divided along the conveying path of the tobacco leaves based on the movement trajectory. Specifically, the total length of the trajectory is extracted, and the points where the total length is divided according to a preset interval are used as equidistant sampling points along the tobacco leaf conveying path, thus obtaining multiple equidistant sampling points along the tobacco leaf conveying path. These equidistant sampling points represent sampling points at the same distance. The preset interval can be adjusted according to actual needs. The settings are not limited here; in this embodiment, the preset interval can be set to 0.2 meters. Then, the conveying wind speed corresponding to each equidistant sampling point is extracted by the speed sensor deployed in the wind conveying duct, and the conveying wind speeds corresponding to each equidistant sampling point are combined to obtain a wind speed change sample set, which represents a combination of conveying wind speeds containing different equidistant sampling points. Finally, the sampling space of the conveying wind speed of the tobacco leaves during wind-powered conveying is constructed based on the wind speed change sample set. That is, a Gaussian process is used to perform probabilistic modeling on the wind speed change sample set to generate the sampling space of the conveying wind speed of the tobacco leaves during wind-powered conveying. For example, the position-wind speed data of the equidistant sampling points are used as a training set to train the Gaussian process model, and the predicted conveying wind speed of other positions on the tobacco leaf conveying path is predicted by the trained Gaussian process model. The conveying wind speed is then covered on each position to obtain the sampling space of the conveying wind speed of the tobacco leaves during wind-powered conveying.

[0065] It should be noted that the determination of the sampling space in this application is to quantify the wind speed variation pattern and uncertainty of tobacco leaves at different positions in the air conveying duct, thereby providing a data basis for subsequent wind speed constraint control, enabling the tobacco leaf transportation system to optimize control commands under probabilistic constraints.

[0066] In some embodiments, determining the constraint boundary of wind speed acceleration when tobacco leaves are transported in the sampling space by varying the rotational speed of the drive motor can be achieved through the following steps:

[0067] Acquire the rotation speed-wind speed change data of tobacco leaves at each sampling point in the sampling space under the condition of change in the rotation speed of the drive motor;

[0068] The acceleration sensitivity coefficient at each sampling point is determined based on the rotational speed-wind speed change data corresponding to each sampling point.

[0069] Calculate the local acceleration corresponding to each sampling point based on the acceleration sensitivity coefficient at each sampling point;

[0070] The constraint boundary of wind speed acceleration is extracted based on all local accelerations when the tobacco leaves are transported in the sampling space.

[0071] It should be noted that the constraint boundary in this application represents the safe limit range of allowable fluctuations in wind speed acceleration in the pneumatic conveying duct. During the tobacco leaf conveying process, the constraint boundary of wind speed acceleration can effectively limit the rate of wind speed change and prevent problems such as tobacco leaf swirling, accumulation, or damage caused by sudden changes in wind speed. This constraint boundary can be used to dynamically adjust the conveying wind speed, realize the smooth transition and stable control of wind force, thereby ensuring the continuous and controllable conveying of tobacco leaves in the pneumatic conveying duct and improving the conveying efficiency and operational safety of the system.

[0072] In specific implementation, firstly, the rotational speed-wind speed variation data of the tobacco leaves at each sampling point in the sampling space under the condition of rotational speed variation of the drive motor is obtained by combining the motor encoder in the drive motor with the speed sensor. The rotational speed-wind speed variation data consists of the rotational speed change rate and wind speed acceleration under different drive motor speed changes, and the rotational speed-wind speed variation data contains multiple rotational speed change rate-wind speed acceleration groups. Secondly, the acceleration sensitivity coefficient at each sampling point is determined based on the rotational speed-wind speed variation data corresponding to each sampling point. That is, for each sampling point, a transfer function between the rotational speed change rate and wind speed acceleration is constructed from the rotational speed-wind speed variation data corresponding to the sampling point, and the differential term of the transfer function is used as the acceleration sensitivity coefficient of the sampling point, thereby obtaining the acceleration sensitivity coefficient at each sampling point. Here, the rotational speed-wind speed variation data can be used as the fitting data for least squares parameter estimation, and the least squares parameter estimation can be used as the fitting data for least squares parameter estimation. The parameter estimation fitting yields the transfer function between rotational speed and wind speed, which will not be elaborated here. Then, based on the acceleration sensitivity coefficient at each sampling point, the local acceleration corresponding to each sampling point is calculated. That is, the rotational speed change rate of the current drive motor is obtained. For each sampling point, the product of the acceleration sensitivity coefficient corresponding to the sampling point and the rotational speed change rate is taken as the local acceleration corresponding to the sampling point, thus obtaining the local acceleration corresponding to each sampling point. The acceleration sensitivity coefficient is essentially the transfer gain from the rotational speed change rate to the wind speed acceleration. Therefore, the calculation of the local acceleration is dimensionally consistent and has a clear physical meaning. Finally, the kernel density estimation in the prior art is used to perform probability density estimation on the local acceleration of all sampling points, and the 99th quantile (e.g., 2.4 m / s²) and 1st quantile (e.g., -1.6 m / s²) of the cumulative distribution function are selected as the constraint boundaries of the wind speed acceleration when the tobacco leaves are transported in the sampling space.

[0073] It should be noted that, in this embodiment, the acceleration sensitivity coefficient is a proportional parameter characterizing the influence of the rate of change of the drive motor speed on the wind speed acceleration at the sampling point; in this embodiment, the local acceleration represents the rate of change of wind speed at the sampling point; furthermore, by determining the constraint boundary, a correlation mapping between wind speed acceleration and the rate of change of the drive motor speed is established, thereby forming a constraint model based on actual operating data, ensuring that the wind speed change of the tobacco leaves during the wind conveying process is always within the dynamic range allowed by the system, so as to avoid unstable conveying phenomena caused by sudden changes in wind speed.

[0074] In step 103, the tobacco leaf transport status at each sampling point in the sampling space is identified to obtain the transport efficiency of the tobacco leaf at each sampling point. Then, based on the difference in transport efficiency between adjacent sampling points, the airflow guidance field of the tobacco leaf during air pressure transport in the air delivery duct is determined.

[0075] It should be noted that the conveying efficiency in this application is a quantitative indicator of the tobacco leaf's ability to maintain its quality at a specific location in the air conveying duct. Determining the conveying efficiency can accurately identify the smoothness of the tobacco leaf's conveying and its matching with the wind speed at different locations in the air conveying duct, thereby providing a basis for constructing an airflow guidance field and setting local wind speed control parameters.

[0076] In some embodiments, reference Figure 3 As shown in the figure, this is an exemplary flowchart for determining transport efficiency according to some embodiments of this application. In this embodiment, the transport status of tobacco leaves at each sampling point in the sampling space is identified, and the transport efficiency of the tobacco leaves at each sampling point can be obtained by the following steps:

[0077] First, in step 1031, tobacco leaf motion images are obtained at each sampling point in the sampling space;

[0078] Then, in step 1032, feature recognition is performed on the tobacco leaf motion image at each sampling point to obtain the state features of the tobacco leaf at each sampling point;

[0079] Finally, in step 1033, the transport efficiency of the tobacco leaves at each sampling point is calculated based on all the state characteristics.

[0080] In specific implementation, firstly, a high-speed industrial camera is used to acquire tobacco leaf motion images at each sampling point in the sampling space. These tobacco leaf motion images are images monitoring the movement state of the tobacco leaves at different sampling points. Then, feature recognition is performed on the tobacco leaf motion images at each sampling point to obtain the state features of the tobacco leaves at each sampling point. Specifically, for each sampling point, the existing YOLOv5 target detection model is used to identify the tobacco leaf density (determined by the proportion of the tobacco leaf outline area) and the tobacco leaf breakage rate (obtained by detecting tobacco leaf edge breakage) from the corresponding tobacco leaf motion image. Additionally, the existing optical flow method (Lucas-Kanade algorithm) is used to identify... The tobacco leaf speed consistency (determined by the standard deviation of the tobacco leaf vector direction) is used, and the combination of the tobacco leaf density, the tobacco leaf breakage rate, and the tobacco leaf speed consistency is used as the state feature of the tobacco leaf at the sampling point, thereby obtaining the state feature of the tobacco leaf at each sampling point. Finally, for each sampling point, the state feature corresponding to the sampling point is used as the input parameter to a pre-trained random forest regression model, and the normalized efficiency score output by the random forest regression model is used as the transport efficiency of the tobacco leaf at the sampling point, thereby obtaining the transport efficiency of the tobacco leaf at each sampling point. The random forest regression model is trained using historical tobacco leaf state feature data (e.g., 1000 sets of labeled state feature samples).

[0081] It should be noted that in this embodiment, the consistency of tobacco leaf velocity refers to the degree of convergence of the velocity vectors of different individual tobacco leaves at the same sampling point; in this embodiment, the state features refer to the set of multi-dimensional parameters extracted from the tobacco leaf transportation process that characterize the movement, distribution and physical integrity of the tobacco leaves.

[0082] In some embodiments, determining the airflow guidance field of the tobacco leaves during pneumatic conveying in the pneumatic duct based on the difference in conveying efficiency between adjacent sampling points can be achieved through the following steps:

[0083] Calculate the difference in transmission efficiency between adjacent sampling points in the sampling space;

[0084] Construct a transport deviation distribution map within the sampling space based on all the differences;

[0085] Based on the aforementioned transport deviation distribution map, the airflow guidance field is extracted when the tobacco leaves are transported by air pressure in the air delivery duct.

[0086] It should be noted that, in this application, the airflow guidance field refers to the airflow regulation area constructed in the air delivery duct to guide the tobacco leaves to be transported smoothly in the expected state. The determination of the airflow guidance field lies in identifying the sensitive area in the air delivery duct that affects the continuous transport of tobacco leaves, and then adjusting the wind speed direction and intensity in the air delivery duct based on the transport state of the sensitive area, so that the wind force tends to be evenly distributed in space, thereby effectively guiding the tobacco leaves to run stably along the predetermined path and reducing accumulation and deflection phenomena.

[0087] In specific implementation, firstly, the difference in transmission efficiency between adjacent sampling points in the sampling space is calculated. That is, for each adjacent sampling point, the difference in transmission efficiency between adjacent sampling points is taken as the transmission efficiency difference, and the transmission efficiency difference is used to characterize the difference in transmission efficiency between adjacent sampling points. The transmission efficiency difference represents the degree of difference in transmission efficiency between adjacent sampling points. Secondly, a transmission deviation distribution map in the sampling space is constructed based on all the difference relationships. That is, the transmission efficiency difference corresponding to each difference relationship is mapped into a two-dimensional distribution map using existing technology Kriging interpolation, and this distribution map is used as the transmission deviation distribution map in the sampling space. In other words, Kriging interpolation smooths the transmission efficiency difference of all sampling points by analyzing the spatial location and statistical correlation of efficiency differences. The calculation is extended over the entire two-dimensional region to generate a continuous transport deviation distribution map, which will not be elaborated here. Then, based on the transport deviation distribution map, the airflow guidance field of the tobacco leaves during air pressure transport in the air conveying duct is extracted. That is, density clustering is used to take the area where the transport deviation is concentrated in the transport deviation distribution map as the airflow guidance field of the tobacco leaves during air pressure transport in the air conveying duct. For example, density clustering can be used to take the continuous area in the transport deviation distribution map where the transport deviation is greater than a preset threshold as the airflow guidance field of the tobacco leaves during air pressure transport in the air conveying duct, which will not be elaborated here. The preset threshold can be set according to actual needs and is not limited here. The airflow guidance field represents the key locations where speed mismatch, deviation or accumulation trend occurs during the transport of tobacco leaves.

[0088] It should be noted that the conveying deviation distribution map in this application represents a two-dimensional image formed based on the difference in conveying efficiency between each sampling point in the sampling space. It is used to reflect the degree of unevenness and spatial distribution trend of tobacco leaf conveying status and to provide a data basis for identifying the adjustment area where the conveying deviation is concentrated in the pneumatic conveying duct.

[0089] In step 104, dynamic speed regulation parameters for the conveying wind speed of tobacco leaves during wind pressure conveying are generated by combining the constraint boundary with the airflow guiding field.

[0090] In this application, the dynamic speed regulation parameter refers to the dynamic control parameter used to adjust and limit the wind speed output of the drive motor. This dynamic speed regulation parameter is used to limit the output wind speed of the drive motor and its rate of change, ensuring that the tobacco leaves run according to the target path and desired state within the sampling space, and avoiding drifting, accumulation or loss of the tobacco leaves during the transportation process.

[0091] In some embodiments, the dynamic speed regulation parameters for the conveying wind speed of tobacco leaves during wind pressure conveying, generated by combining the constraint boundary with the airflow guiding field, can be achieved through the following steps:

[0092] Obtain the current wind speed vector distribution of the airflow steering field;

[0093] The wind speed vector distribution is projected onto the main transport path of the tobacco leaves to obtain the control area of ​​the transport wind speed during the wind pressure transport process of the tobacco leaves;

[0094] Based on the wind speed variation characteristics of the wind speed regulation demand area and the constraint boundary, the dynamic speed regulation parameters of the conveying wind speed of the tobacco leaves during wind pressure conveying are determined.

[0095] It should be noted that in this embodiment, the main conveying path refers to the main spatial trajectory line of the tobacco leaves continuously moving along the preset conveying direction when driven by wind pressure in the air conveying duct. It usually corresponds to the geometric center line inside the duct and is used as a directional reference to guide wind speed control and airflow adjustment.

[0096] In specific implementation, firstly, the wind speed vector distribution of the airflow steering field is obtained through existing CFD simulation technology (such as based on the Reynolds-averaged Navier-Stokes equations and the k-ε turbulence model). This will not be elaborated further here. The wind speed vector distribution includes wind speed vectors at multiple locations. Then, the wind speed vector distribution is projected onto the main transport path of the tobacco leaves to obtain the region requiring wind speed regulation during the wind-pressure transport process. Specifically, the wind speed vectors in the wind speed vector distribution are projected onto the main transport path using existing vector projection methods, retaining the wind speed vectors aligned with the main transport path direction. The projected area corresponding to the retained wind speed vectors is then used as the region requiring wind speed regulation during the wind-pressure transport process. This region is characterized by localized sections with insufficient or excessive wind speed. Finally, based on the wind speed regulation region, the wind speed variation... The dynamic speed regulation parameters of the conveying wind speed of the tobacco leaves during wind pressure conveying are determined by the characteristics and the constraint boundary. Specifically, the wind speed acceleration at different locations in the wind speed regulation demand area is obtained, and the average value of the velocity at all wind speed points is used as the wind speed change characteristic of the wind speed regulation demand area. The wind speed change characteristic is mapped and compared with the constraint boundary, and the minimum comparison result is used as the constraint control lower limit of the conveying wind speed of the tobacco leaves during wind pressure conveying, and the maximum comparison result is used as the constraint control upper limit of the conveying wind speed of the tobacco leaves during wind pressure conveying. Then, the constraint control lower limit and the constraint control upper limit are combined to form the dynamic speed regulation parameters of the conveying wind speed of the tobacco leaves during wind pressure conveying. The constraint control lower limit represents the lower limit value for adjusting the speed of the drive motor, and the constraint control upper limit represents the upper limit value for adjusting the speed of the drive motor.

[0097] It should be noted that, in this embodiment, the wind speed vector distribution represents a set of vector information composed of the speed magnitude and direction of airflow at multiple spatial locations in the airflow guide field. This is used to describe the motion state of airflow at different locations in the airflow guide field transport space. Each vector consists of the amplitude (i.e., speed magnitude) and direction (i.e., the direction of airflow), reflecting the spatial distribution characteristics of the force exerted by airflow on the tobacco leaves in space. In this embodiment, the wind speed vector represents the physical quantities of the wind speed amplitude and direction at a certain point. In this embodiment, the control demand area represents the spatial location area where the airflow thrust is insufficient along the main transport path during the tobacco leaf air pressure transport process. The airflow state in this area needs to be adjusted by wind speed or flow direction to meet the requirements of transport stability and control accuracy.

[0098] In step 105, the delivery speed of the drive motor is constrained based on the dynamic speed regulation parameters.

[0099] In some embodiments, constraining the delivery speed of the drive motor based on the dynamic speed regulation parameters can be achieved by the following steps:

[0100] The motor speed regulation strategy of the drive motor is adjusted according to the dynamic speed regulation parameters;

[0101] When the conveying wind speed deviates from the target wind speed range during tobacco leaf conveying, the conveying speed of the drive motor at that moment is constrained by the adjusted motor speed regulation strategy.

[0102] When the conveying wind speed during tobacco leaf transport does not deviate from the target wind speed range, the conveying speed of the drive motor at that moment is not constrained.

[0103] It should be noted that in this embodiment, the target wind speed range refers to the effective wind speed range for the tobacco leaves during transportation, which can be set by learning the transportation wind speed data of a large number of tobacco leaves through machine learning. In addition, it can also be set according to actual needs, which is not limited here.

[0104] In specific implementation, firstly, the motor speed adjustment strategy of the drive motor is adjusted according to the dynamic speed regulation parameters. That is, the upper limit of the constraint control in the dynamic speed regulation parameters is used as the maximum adjustment amount of the motor speed of the drive motor, and the lower limit of the constraint control in the dynamic speed regulation parameters is used as the minimum adjustment amount of the motor speed of the drive motor, thereby completing the adjustment of the motor speed adjustment strategy of the drive motor. Secondly, when the conveying wind speed during tobacco leaf conveying deviates from the target wind speed range, the conveying speed of the drive motor at that moment is constrained by the adjusted motor speed adjustment strategy. That is, the conveying speed of the drive motor at that moment is adjusted between the maximum and minimum adjustment amounts in the adjusted motor speed adjustment strategy (i.e., gradually increasing or decreasing from the minimum adjustment amount based on the conveying speed at the previous moment) until the conveying wind speed during tobacco leaf conveying is within the target wind speed range. Then, when the conveying wind speed during tobacco leaf conveying does not deviate from the target wind speed range, the conveying speed of the drive motor at that moment is not constrained.

[0105] In another aspect, in some embodiments, this application provides a tobacco leaf transport control system, including a pneumatic conveying duct and a drive motor. The system further includes a tobacco leaf transport control unit. (See reference...) Figure 4 The figure is a schematic diagram of the structure of a tobacco leaf transport control unit according to some embodiments of this application. The tobacco leaf transport control unit 200 includes: a monitoring module 201, a processing module 202, and an execution module 203, which are described below:

[0106] Monitoring module 201, in this application, is mainly used for real-time monitoring of tobacco leaves in the air conveying duct;

[0107] Processing module 202, in this application, is mainly used to establish a sampling space of the conveying wind speed of the tobacco leaves during the wind conveying process based on the conveying position data of the tobacco leaves in the wind conveying duct, and then determine the constraint boundary of the wind speed acceleration when the tobacco leaves are conveyed in the sampling space by the speed change of the drive motor.

[0108] The processing module 202 is also used to identify the tobacco leaf conveying status at each sampling point in the sampling space, obtain the conveying efficiency of the tobacco leaf at each sampling point, and then determine the airflow guidance field of the tobacco leaf when it is conveyed by air pressure in the air delivery duct based on the difference in conveying efficiency between adjacent sampling points.

[0109] In addition, the processing module 202 is also used to generate dynamic speed regulation parameters of the conveying wind speed of tobacco leaves during wind pressure conveying by combining the constraint boundary with the airflow guiding field;

[0110] The execution module 203 in this application is mainly used to constrain the delivery speed of the drive motor based on the dynamic speed regulation parameters.

[0111] In addition, this application also provides a computer device, the computer device including a memory and a processor, the memory storing code, and the processor being configured to acquire the code and execute the above-described tobacco leaf transport control method.

[0112] In some embodiments, reference Figure 5 The figure is a schematic diagram of the structure of a computer device for implementing a tobacco leaf transport control method according to some embodiments of this application. The tobacco leaf transport control method in the above embodiments can be implemented through... Figure 5 The computer device shown is used to implement this, and the computer device 300 includes at least one processor 301, a communication bus 302, a memory 303, and at least one communication interface 304.

[0113] The processor 301 can be a general-purpose central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more devices used to control the execution of the tobacco leaf transport control method in this application.

[0114] The communication bus 302 can be used to transmit information between the aforementioned components.

[0115] The memory 303 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital versatile optical discs, Blu-ray discs, etc.), magnetic disks or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. The memory 303 may exist independently and be connected to the processor 301 via the communication bus 302. The memory 303 may also be integrated with the processor 301.

[0116] The memory 303 stores program code for executing the scheme of this application, and its execution is controlled by the processor 301. The processor 301 executes the program code stored in the memory 303. The program code may include one or more software modules. In the above embodiments, the determination of the tobacco leaf transport control method can be implemented by the processor 301 and one or more software modules in the program code in the memory 303.

[0117] Communication interface 304 uses any transceiver-like device to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0118] In a specific implementation, as one example, a computer device may include multiple processors, each of which may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. Here, a processor may refer to one or more devices, circuits, and / or processing cores used to process data (e.g., computer program instructions).

[0119] The aforementioned computer device can be a general-purpose computer device or a special-purpose computer device. In specific implementations, the computer device can be a desktop computer, a portable computer, a network server, a handheld digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. This application does not limit the type of computer device.

[0120] In addition, this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described tobacco leaf transport control method.

[0121] Although preferred embodiments of this application 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 the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0122] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A tobacco leaf transport control method, used in a tobacco leaf transport control system to transport tobacco leaves in a pneumatic conveying duct, the tobacco leaf transport control system comprising a pneumatic conveying duct and a drive motor, characterized in that, The method includes the following steps: Real-time monitoring of tobacco leaves in the air conveying duct; Based on the data of the tobacco leaf's position in the pneumatic conveying duct, a sampling space for the wind speed during the pneumatic conveying process of the tobacco leaf is established. Then, the constraint boundary of the wind speed acceleration when the tobacco leaf is conveyed in the sampling space is determined by the change in the rotational speed of the drive motor. The tobacco leaf transport status at each sampling point in the sampling space is identified to obtain the transport efficiency of the tobacco leaf at each sampling point. Then, based on the difference in transport efficiency between adjacent sampling points, the airflow guidance field of the tobacco leaf during air pressure transport in the air delivery duct is determined. The dynamic speed regulation parameters of the conveying wind speed of tobacco leaves during wind pressure conveying are generated by combining the constraint boundary with the airflow guiding field. The delivery speed of the drive motor is constrained based on the dynamic speed regulation parameters. Specifically, the constraint boundary for determining the wind speed acceleration when tobacco leaves are transported in the sampling space by varying the rotational speed of the drive motor includes: Acquire the rotation speed-wind speed change data of tobacco leaves at each sampling point in the sampling space under the condition of change in the rotation speed of the drive motor; The acceleration sensitivity coefficient at each sampling point is determined based on the rotational speed-wind speed change data corresponding to each sampling point. Calculate the local acceleration corresponding to each sampling point based on the acceleration sensitivity coefficient at each sampling point; The constraint boundary of wind speed acceleration is extracted based on all local accelerations when the tobacco leaves are transported in the sampling space.

2. The method as described in claim 1, characterized in that, The sampling space for establishing the transport wind speed of the tobacco leaves during the pneumatic transport process based on the transport position data of the tobacco leaves in the pneumatic duct specifically includes: Collect data on the transport position of tobacco leaves in the pneumatic conveying duct; The trajectory of the tobacco leaf in the air conveying duct is obtained by performing trajectory fitting on the conveying position data. Based on the motion trajectory, multiple equidistant sampling points are divided along the conveying path of the tobacco leaves; Extract the transport wind speed corresponding to each equidistant sampling point to obtain a wind speed change sample set; The sampling space for the wind speed during the wind transport process of the tobacco leaves is constructed based on the wind speed change sample set.

3. The method as described in claim 1, characterized in that, Identifying the tobacco leaf transport status at each sampling point in the sampling space to obtain the transport efficiency of the tobacco leaf at each sampling point specifically includes: Acquire tobacco leaf motion images at each sampling point in the sampling space; Feature recognition is performed on the tobacco leaf motion image at each sampling point to obtain the state features of the tobacco leaf at each sampling point; The transport efficiency of the tobacco leaves at each sampling point is calculated based on all state characteristics.

4. The method as described in claim 1, characterized in that, Determining the airflow guidance field of the tobacco leaves during pneumatic transport in the pneumatic duct based on the difference in transport efficiency between adjacent sampling points specifically includes: Calculate the difference in transmission efficiency between adjacent sampling points in the sampling space; Construct a transport deviation distribution map within the sampling space based on all the differences; Based on the aforementioned transport deviation distribution map, the airflow guidance field is extracted when the tobacco leaves are transported by air pressure in the air delivery duct.

5. The method as described in claim 1, characterized in that, The dynamic speed regulation parameters for the conveying wind speed of tobacco leaves during wind pressure conveying, generated by combining the constraint boundary with the airflow guiding field, specifically include: Obtain the current wind speed vector distribution of the airflow steering field; The wind speed vector distribution is projected onto the main transport path of the tobacco leaves to obtain the control area of ​​the transport wind speed during the wind pressure transport process of the tobacco leaves; Based on the wind speed variation characteristics of the wind speed regulation demand area and the constraint boundary, the dynamic speed regulation parameters of the conveying wind speed of the tobacco leaves during wind pressure conveying are determined.

6. The method as described in claim 1, characterized in that, The tobacco leaves in the air conveying duct are monitored in real time by monitoring sensors, including positioning sensors, speed sensors and high-speed industrial cameras.

7. A tobacco leaf transport control system, comprising a tobacco leaf transport control unit, an air conveying duct, and a drive motor, wherein the tobacco leaf transport control system uses the method described in any one of claims 1 to 6 for tobacco leaf transport control, the tobacco leaf transport control system comprising a tobacco leaf transport control unit, an air conveying duct, and a drive motor, characterized in that, The tobacco leaf transport control unit includes: The monitoring module is used to monitor the tobacco leaves in the air conveying duct in real time; The processing module is used to establish a sampling space for the wind speed of the tobacco leaves during the wind conveying process based on the conveying position data of the tobacco leaves in the wind conveying duct, and then determine the constraint boundary of the wind speed acceleration when the tobacco leaves are conveyed in the sampling space by the speed change of the drive motor. The processing module is also used to identify the tobacco leaf conveying status at each sampling point in the sampling space, obtain the conveying efficiency of the tobacco leaf at each sampling point, and then determine the airflow guidance field of the tobacco leaf when it is conveyed by air pressure in the air delivery duct based on the difference in conveying efficiency between adjacent sampling points. The processing module is also used to generate dynamic speed regulation parameters for the conveying wind speed of tobacco leaves during wind pressure conveying by combining the constraint boundary with the airflow guiding field. The execution module is used to constrain the delivery speed of the drive motor based on the dynamic speed regulation parameters.

8. A computer device, characterized in that, The computer device includes a memory and a processor, the memory storing code, and the processor being configured to retrieve the code and execute the tobacco leaf transport control method as described in any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the tobacco leaf transport control method as described in any one of claims 1 to 6.

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