A dual-modal jet spray control method for seed cotton foreign fibers

Abstract

This invention discloses a dual-modal air-jet control method for foreign fibers in seed cotton, relating to the field of intelligent control technology. The method includes: acquiring target seed cotton and generating a list of foreign fiber types and a list of foreign fiber size distribution characteristics; identifying foreign fiber weight characteristics and generating a list of unit foreign fiber weight information; sampling and analyzing the target seed cotton to generate unit seed cotton weight information; performing air-jet control analysis under dual-air-jet separation modes to generate a first air-jet control model corresponding to the first separation mode and a second air-jet control model corresponding to the second separation mode; locating the first-mode separated foreign fiber weight list and the second-mode separated foreign fiber weight list; generating first-mode air-jet control parameters and second-mode air-jet control parameters; and controlling a seed cotton foreign fiber cleaning machine to sequentially perform air-jet control on the target seed cotton. This invention solves the technical problems of low efficiency and low accuracy in seed cotton foreign fiber cleaning in existing technologies, achieving the technical effect of improving the efficiency and accuracy of seed cotton foreign fiber cleaning.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology, specifically to a dual-modal air jet control method for seed cotton with different fibers. Background Technology

[0002] During cotton production and processing, various foreign fibers, such as plastic flakes, metal flakes, cotton leaves, and cotton boll husks, are often mixed into the seed cotton. These foreign fibers not only affect the quality and purity of the cotton but also cause problems for subsequent textile production. Therefore, how to efficiently and accurately separate foreign fibers from seed cotton has become a key issue in cotton processing. Traditional cleaning methods rely on simple mechanical separation, which is inefficient and inaccurate, and cannot meet the needs of modern production. Summary of the Invention

[0003] This application provides a dual-modal air jet control method for seed cotton foreign fiber removal, which addresses the technical problems of low efficiency and low accuracy in the existing technology for cleaning seed cotton foreign fibers.

[0004] In view of the above problems, this application provides a dual-modal air jet control method for seed cotton foreign fibers.

[0005] The first aspect of this application provides a dual-modal air jet control method for seed cotton foreign fiber, the method comprising:

[0006] The process involves acquiring target seed cotton transported to a seed cotton foreign fiber cleaning machine, identifying foreign fiber size distribution characteristics using a foreign fiber monitoring module to generate a foreign fiber type list and a foreign fiber size distribution characteristic list, identifying foreign fiber weight characteristics based on these lists to generate a unit foreign fiber weight information list, sampling the target seed cotton using an automatic sampling device, performing weight analysis on the samples to generate unit seed cotton weight information, and performing jet control analysis on the seed cotton foreign fiber cleaning machine under dual-jet separation modes based on the unit seed cotton weight information. This generates a first jet control model corresponding to the first separation mode and a second jet control model corresponding to the second separation mode. The first separation mode uses... For separating foreign fibers with a unit weight greater than the unit seed cotton weight, the second separation mode is used to separate foreign fibers with a unit weight less than the unit seed cotton weight. Based on the unit seed cotton weight information, the foreign fiber type list, and the unit foreign fiber weight information list, a first mode foreign fiber weight list and a second mode foreign fiber weight list are located. The first mode foreign fiber weight list is input into the first air jet control model, and the second mode foreign fiber weight list is input into the second air jet control model to generate first mode air jet control parameters and second mode air jet control parameters. The seed cotton foreign fiber cleaning machine is controlled to sequentially perform air jet control on the target seed cotton according to the first mode air jet control parameters and the second mode air jet control parameters.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] This application obtains target seed cotton transported to a seed cotton foreign fiber cleaning machine, identifies the foreign fiber size distribution characteristics of the target seed cotton through a foreign fiber monitoring module, and generates a list of foreign fiber types and a list of foreign fiber size distribution characteristics; based on the list of foreign fiber types and the list of foreign fiber size distribution characteristics, it identifies foreign fiber weight characteristics and generates a list of unit foreign fiber weight information; it samples the target seed cotton through an automatic sampling device, performs weight analysis based on the samples, and generates unit seed cotton weight information; based on the unit seed cotton weight information, it performs jet control analysis on the seed cotton foreign fiber cleaning machine under dual-jet separation modes, generating a first jet control model corresponding to the first separation mode and a second jet control model corresponding to the second separation mode, wherein the first... The first separation mode is used to separate foreign fibers with a unit weight greater than the unit seed cotton weight information, and the second separation mode is used to separate foreign fibers with a unit weight less than the unit seed cotton weight information. Based on the unit seed cotton weight information, the foreign fiber type list, and the unit foreign fiber weight information list, the foreign fiber weight lists separated by the first and second modes are located. The foreign fiber weight lists separated by the first mode are input into the first air jet control model, and the foreign fiber weight lists separated by the second mode are input into the second air jet control model to generate the first and second mode air jet control parameters. The seed cotton foreign fiber cleaning machine is controlled to sequentially perform air jet control on the target seed cotton according to the first and second mode air jet control parameters. This invention solves the technical problems of low efficiency and low accuracy in seed cotton foreign fiber cleaning in the prior art. Through intelligent air jet control, foreign fiber identification, and weight analysis, it achieves the technical effect of improving the efficiency and accuracy of seed cotton foreign fiber cleaning. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a schematic flowchart of a dual-modal air jet control method for seed cotton foreign fibers provided in an embodiment of this application;

[0011] Figure 2 This is a schematic diagram illustrating the process of identifying foreign fiber weight characteristics in a dual-modal air jet control method for seed cotton foreign fibers provided in an embodiment of this application. Detailed Implementation

[0012] This application provides a dual-modal air jet control method for seed cotton foreign fiber removal, which addresses the technical problems of low efficiency and low accuracy in existing seed cotton foreign fiber removal technologies. Through intelligent air jet control, foreign fiber identification, and weight analysis, it achieves the technical effect of improving the efficiency and accuracy of seed cotton foreign fiber removal.

[0013] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0014] It should be noted that any variation of the terms "comprising" and "having" is intended to cover non-exclusive inclusion, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or modules that are not explicitly listed or that are inherent to such processes, methods, products, or devices. Example 1

[0015] like Figure 1 As shown, this application provides a dual-modal air jet control method for seed cotton foreign fibers, the method comprising:

[0016] Step S100: Obtain the target seed cotton transported to the seed cotton foreign fiber cleaning machine, identify the foreign fiber size distribution characteristics of the target seed cotton through the foreign fiber monitoring module, and generate a foreign fiber type list and a foreign fiber size distribution characteristic list.

[0017] In this embodiment, an automated conveyor belt system is used to smoothly transport the target seed cotton to the detection area from the cleaning machine. Next, a foreign fiber monitoring module identifies the foreign fiber size distribution characteristics of the target seed cotton. During this process, different data obtained from different sensors are analyzed to identify the foreign fiber size distribution characteristics.

[0018] Based on the identified foreign fiber characteristics, the foreign fibers are classified and a type list is generated. Each type corresponds to a specific foreign fiber characteristic, such as color or material. Simultaneously, the dimensional distribution characteristics of each foreign fiber type are recorded, generating a foreign fiber dimensional distribution characteristic list, including parameters such as fiber length, width, and thickness.

[0019] Furthermore, the method provided in the application embodiments also includes:

[0020] The foreign fiber monitoring module includes a photoelectric analysis module, an ultrasonic analysis module, and a high-resolution image analysis module; wherein, the photoelectric analysis module includes a photoelectric sensor and a first foreign fiber feature analysis model, the ultrasonic analysis module includes an ultrasonic sensor and a second foreign fiber feature analysis model, and the high-resolution image analysis module includes an image sensor and a third foreign fiber feature analysis model; wherein, the first foreign fiber feature analysis model, the second foreign fiber feature analysis model, and the third foreign fiber feature analysis model have a first output weight, a second output weight, and a third output weight, respectively.

[0021] In this embodiment, the photoelectric analysis module utilizes a photoelectric sensor to detect foreign fibers in seed cotton. The photoelectric sensor identifies foreign fibers by measuring the reflection and absorption characteristics of light; for example, foreign fibers of different colors and materials have different light reflection characteristics. After data acquisition, the data is processed by a first foreign fiber feature analysis model to identify the optical characteristics of the foreign fibers and assign these characteristics a first output weight.

[0022] The ultrasonic analysis module uses ultrasonic sensors to detect the density and thickness of the foreign fibers by sending and receiving high-frequency sound waves. Different echoes are generated when the sound waves encounter materials of different densities and thicknesses. These echo data are processed and analyzed by a second foreign fiber characteristic analysis model to identify the physical characteristics of the foreign fibers. These characteristics are then assigned second output weights.

[0023] The high-resolution image analysis module uses a high-resolution camera to capture detailed images of seed cotton. These images are then processed using image processing algorithms to identify the morphology and size of foreign fibers. A third foreign fiber feature analysis model analyzes the image data, identifies the morphological features of foreign fibers, and assigns these features third output weights.

[0024] Multi-sensor data fusion technology is used to comprehensively process the output data from the photoelectric analysis module, the ultrasonic analysis module, and the high-resolution image analysis module. The data fusion algorithm combines the output weights of each analysis model to integrate various features, ensuring that the importance of different features is appropriately considered, thereby forming a complete identification result of the fiber size distribution characteristics.

[0025] Based on the above identification results, a list of foreign fiber types and a list of foreign fiber size distribution characteristics are generated. The list of foreign fiber types classifies foreign fibers according to photoelectric, ultrasonic, and image analysis results, with each type corresponding to a specific foreign fiber characteristic, such as color or material. The list of foreign fiber size distribution characteristics records the size distribution characteristics of each foreign fiber type, including detailed parameters such as the length, width, and thickness of the foreign fiber.

[0026] Furthermore, the method provided in the application embodiments also includes:

[0027] The process involves acquiring the upstream continuous process information of the target seed cotton, performing foreign fiber type introduction analysis, and generating a preset foreign fiber type. Using the preset foreign fiber type as a constraint, a first foreign fiber feature analysis model, a second foreign fiber feature analysis model, and a third foreign fiber feature analysis model are trained and constructed. Preset foreign fiber size distribution characteristics are acquired, and foreign fiber feature analysis tests are performed on the photoelectric analysis module, the ultrasonic analysis module, and the high-resolution image analysis module, respectively, generating photoelectric test sample sets, ultrasonic test sample sets, and image test sample sets. The preset foreign fiber size distribution characteristics are compared with the photoelectric test sample sets, ultrasonic test sample sets, and image test sample sets, respectively, and a first confidence level, a second confidence level, and a third confidence level are output. Based on the first confidence level, the second confidence level, and the third confidence level, a first output weight, a second output weight, and a third output weight are generated. The outputs of the first foreign fiber feature analysis model, the second foreign fiber feature analysis model, and the third foreign fiber feature analysis model are connected through the first output weight, the second output weight, and the third output weight.

[0028] In this embodiment of the application, the upstream continuous process information of the target seed cotton, including raw material collection, picking and preliminary processing, is obtained through a production monitoring system.

[0029] Next, we conduct an analysis of foreign fiber types. First, we identify potential sources of foreign fibers using data analysis techniques. Natural foreign fibers originate from the cotton itself, such as cotton leaves and boll hulls. Mechanically introduced foreign fibers are generated by harvesting and processing machinery, such as metal and plastic flakes. External contamination mainly consists of impurities introduced during transportation and storage, such as packaging bag fragments and dust. We use data analysis tools to process and analyze the characteristics of these foreign fibers, including size, shape, color, and material. Based on the above analysis, we determine the preset foreign fiber types and define detailed characteristic parameters for each type. For example, natural foreign fibers include cotton leaves and boll hulls; mechanically introduced foreign fibers include plastic and metal flakes; and external contamination includes packaging bag fragments and dust.

[0030] Next, model training is performed using preset foreign fiber types as constraints. The photoelectric analysis module uses photoelectric sensors, such as CCD or CMOS sensors, to capture data on light reflection and absorption characteristics. Machine learning algorithms, such as support vector machines and random forests, are used to train this data to construct the first foreign fiber feature analysis model, identifying optical features such as color and reflectivity. The ultrasonic analysis module uses ultrasonic sensors, such as piezoelectric sensors, to detect the density and thickness of foreign fibers by sending and receiving high-frequency sound waves. The same machine learning algorithms are used to train this data to construct the second foreign fiber feature analysis model, identifying the physical characteristics of foreign fibers, such as density and thickness. The high-resolution image analysis module uses high-resolution cameras, such as industrial cameras, to capture detailed images. Image processing algorithms are used for analysis, and deep learning techniques are used to train this data to construct the third foreign fiber feature analysis model, identifying the morphological characteristics of foreign fibers, such as shape and edges.

[0031] The pre-defined foreign fiber size distribution characteristics are obtained to perform foreign fiber characteristic analysis tests on each module. The photoelectric analysis module uses photoelectric sensors to collect light reflection and absorption characteristics, generating a photoelectric test sample set. The pre-defined foreign fiber size distribution characteristics are compared with the photoelectric test sample set to calculate the first confidence level of the photoelectric analysis model. The ultrasonic analysis module uses ultrasonic sensors to collect density and thickness data, generating an ultrasonic test sample set. The pre-defined foreign fiber size distribution characteristics are compared with the ultrasonic test sample set to calculate the second confidence level of the ultrasonic analysis model. The image analysis module uses a high-resolution camera to capture images, generating an image test sample set. The pre-defined foreign fiber size distribution characteristics are compared with the image test sample set to calculate the third confidence level of the image analysis model.

[0032] Output weights are generated based on the confidence levels of each module, and the outputs of each model are connected. Specifically, based on the test results of the photoelectric, ultrasonic, and image analysis modules, first, second, and third confidence levels are calculated respectively. First, second, and third output weights are generated using a weighted average method to accurately measure their importance during comprehensive analysis. A multi-sensor data fusion algorithm is used to comprehensively process the outputs of each foreign fiber feature analysis model. By applying the output weights, the outputs of the models are connected to ensure that the importance of different features is appropriately considered, thereby forming a complete foreign fiber size distribution feature identification result.

[0033] Step S200: Based on the list of foreign fiber types and the list of foreign fiber size distribution characteristics, identify the weight characteristics of foreign fibers and generate a list of unit foreign fiber weight information.

[0034] In this embodiment, to identify the weight characteristics of foreign fibers, a weight-size relationship model for foreign fibers is established through experiments and data analysis. A large number of foreign fiber samples are measured using a high-precision electronic balance and laser rangefinder. The size and weight data of each sample are recorded and processed using data analysis tools. Specifically, regression analysis is used to establish a weight-size relationship model for each type of foreign fiber. Linear regression or multinomial regression methods are employed to determine the relationship between the size of the foreign fiber and its weight. After establishing the weight-size relationship model, the weight characteristics of foreign fibers are identified based on these models. First, the average size of each type of foreign fiber is extracted from the list of foreign fiber size distribution characteristics. For example, the average size of cotton leaves is 6 cm, the average size of cotton boll shells is 2 cm, the average size of plastic sheets is 3 mm, and the average size of metal sheets is 0.5 mm. Then, these dimensions are input into the corresponding weight-size relationship model to calculate the unit weight of each type of foreign fiber.

[0035] Finally, the calculated unit weights are compiled into a complete list, namely the unit foreign fiber weight information list. This list contains detailed information on each type of foreign fiber, including fiber type, size characteristics, and unit weight.

[0036] Furthermore, such as Figure 2 As shown, the method provided in the application embodiment includes identifying the weight characteristics of foreign fibers based on the list of foreign fiber types and the list of foreign fiber size distribution characteristics, and generating a list of unit foreign fiber weight information, including:

[0037] Based on the size distribution feature list, extract the first size distribution feature of the first foreign fiber type; with the first foreign fiber type as a constraint, collect the first foreign fiber size sample set and the first foreign fiber weight sample set to construct the first weight-size relationship curve; input the first size distribution feature into the first weight-size relationship curve to generate the first unit foreign fiber weight information, and add it to the unit foreign fiber weight information list.

[0038] In this embodiment, the size distribution characteristics of a first type of foreign fiber are first extracted based on an existing list of foreign fiber size distribution characteristics. Assuming the first foreign fiber type is cotton leaf, the size distribution characteristics include information such as length, width, and thickness. This information is extracted from the established list of size distribution characteristics using data analysis tools. For example, the size distribution characteristics of cotton leaf include a length between 2 and 10 cm, a width between 1 and 5 cm, and a thickness between 0.1 and 0.5 cm.

[0039] Next, using the first foreign fiber type as a constraint, we began collecting size and weight sample sets. Using existing measuring equipment such as a high-precision electronic balance and a laser rangefinder, we measured a large number of cotton leaf samples, recording the length, width, thickness, and actual weight of each sample. The collected data may include: a cotton leaf sample with a length of 6 cm, a width of 3 cm, and a thickness of 0.2 cm weighing 0.3 g; a cotton leaf sample with a length of 8 cm, a width of 4 cm, and a thickness of 0.3 cm weighing 0.4 g; and a cotton leaf sample with a length of 5 cm, a width of 2 cm, and a thickness of 0.1 cm weighing 0.2 g.

[0040] By employing data analysis and regression techniques, and utilizing the collected size and weight sample sets, a first weight-size relationship curve is constructed. Methods such as linear regression and multinomial regression can be used to determine the relationship between size characteristics, including length, width, and thickness, and weight. For example, through linear regression analysis, a model is derived showing the relationship between the weight and size of cotton leaves, expressed as weight = 0.05 × length + 0.02 × width + 0.01 × thickness. The extracted size distribution characteristics of the first foreign fiber type are input into the constructed weight-size relationship curve to generate the first unit foreign fiber weight information. Assuming the average size of the cotton leaf is 6 cm in length, 3 cm in width, and 0.2 cm in thickness, these data are input into the weight-size relationship model to calculate the unit weight: unit weight = 0.05 × 6 + 0.02 × 3 + 0.01 × 0.2 = 0.362 grams.

[0041] The generated first unit foreign fiber weight information, i.e., 0.362 grams, is added to the unit foreign fiber weight information list. This list contains detailed information for each foreign fiber type, including foreign fiber type, size characteristics, and unit weight.

[0042] Step S300: The target seed cotton is sampled using an automatic sampling device, and weight analysis is performed based on the sample to generate unit seed cotton weight information.

[0043] In this embodiment, an automatic sampling device is first used to sample the target seed cotton. The automatic sampling device is a mechanical device capable of extracting samples from the seed cotton being transported to the cleaning machine at regular intervals or in quantitative quantities. This device is installed on the seed cotton conveyor belt or feeder belt and is equipped with sensors and a control system to ensure the representativeness and consistency of the sampling. The sampling frequency and sample quantity are detected by sensors to ensure that each sampling is uniform and representative. For example, the sampling device automatically extracts a fixed amount of seed cotton sample every time the conveyor belt travels a certain distance or processes a certain weight of seed cotton. After sampling is completed, the sampled seed cotton is transferred to a high-precision electronic balance for weight measurement.

[0044] Specifically, the automatic sampling device extracts samples from the target seed cotton, assuming each sample weighs 100 grams. The sampled seed cotton is then transferred to a high-precision electronic balance for weighing. After collecting the weight data from multiple samples, statistical analysis is performed to calculate the average weight per unit of seed cotton. For example, assuming the weight data of 10 samples are collected (100.1 g, 99.8 g, 100.3 g, 100.0 g, 99.9 g, 100.2 g, 100.1 g, 99.7 g, 100.0 g, and 100.1 g), the average weight of these samples is calculated, and the unit weight information of seed cotton is generated based on the calculated average weight.

[0045] Step S400: Based on the unit seed cotton weight information, perform jet control analysis on the seed cotton foreign fiber cleaning machine under dual jet separation mode, and generate a first jet control model corresponding to the first separation mode and a second jet control model corresponding to the second separation mode. The first separation mode is used to separate foreign fibers with a unit weight greater than the unit seed cotton weight information, and the second separation mode is used to separate foreign fibers with a unit weight less than the unit seed cotton weight information.

[0046] In this embodiment of the application, the separation mode is first determined by jet control analysis. The separation mode includes a first separation mode and a second separation mode. The first separation mode is the separation of foreign fibers with a weight greater than that of a unit weight, and the second separation mode is the separation of foreign fibers with a weight less than that of a unit weight.

[0047] In the first separation mode, assuming the foreign fibers are heavier than the seed cotton, a stronger airflow is needed to lift the seed cotton, while the foreign fibers remain in place. The minimum airflow intensity required to lift 100.02 grams of seed cotton was determined experimentally. An airflow sensor and control system were used to adjust the airflow intensity and record relevant data. Based on the experimental data, a model was established relating airflow intensity to the weight and size of the foreign fibers. Regression analysis was used to fit the experimental data, yielding the control equations. Through experiments and data analysis, airflow parameters suitable for foreign fibers of various weights and sizes were determined, and a first jet control model was constructed.

[0048] In the second separation mode, assuming that the foreign fibers are lighter than the seed cotton, they can be removed simply by blowing them away with an appropriate airflow, while the seed cotton, due to its greater weight, cannot be blown away by the airflow. The minimum airflow intensity required to remove the lightweight foreign fibers is determined experimentally. A model relating airflow intensity to the weight and size of the foreign fibers is established. Through experiments and data analysis, airflow parameters applicable to foreign fibers of various weights and sizes are determined, and a second jet control model is constructed to ensure that the lightweight foreign fibers can be effectively removed while the seed cotton remains stationary.

[0049] Step S500: Based on the unit seed cotton weight information, the foreign fiber type list, and the unit foreign fiber weight information list, locate the first mode separated foreign fiber weight list and the second mode separated foreign fiber weight list.

[0050] In this embodiment, based on the unit seed cotton weight information, the list of foreign fiber types, and the unit foreign fiber weight information list, the separation foreign fiber weight lists for the first and second modes are located. In the first separation mode, foreign fibers with a unit weight greater than the unit seed cotton weight are separated. First, the weight of each foreign fiber in the unit foreign fiber weight information list is compared with the unit seed cotton weight, and all foreign fiber types with a weight greater than the unit seed cotton weight are filtered out. For example, if there is no foreign fiber heavier than the unit seed cotton weight, the first mode separation foreign fiber weight list is empty.

[0051] In the second separation mode, it is necessary to separate foreign fibers whose unit weight is less than the unit weight of seed cotton. Similarly, the weight of each foreign fiber in the unit foreign fiber weight information list is compared with the unit weight of seed cotton to filter out all foreign fiber types whose weight is less than the unit weight of seed cotton. For example, plastic sheets, metal sheets, etc. are located, and these foreign fiber types and their corresponding weights constitute the foreign fiber weight list for separation in the second mode.

[0052] Step S600: Input the first modal separation foreign fiber weight list into the first jet control model, input the second modal separation foreign fiber weight list into the second jet control model, and generate the first modal jet control parameters and the second modal jet control parameters.

[0053] In this embodiment, the first mode separation foreign fiber weight list includes all foreign fiber types with a unit weight greater than the unit seed cotton weight and their corresponding weights. This list is input into the first jet control model, which calculates the required airflow intensity based on the foreign fiber weight and size, and generates the first mode jet control parameters.

[0054] Similarly, the second-mode separation foreign fiber weight list includes all foreign fiber types with a unit weight less than the unit seed cotton weight and their corresponding weights. This list is input into the second jet control model, which calculates the required airflow intensity and direction parameters based on the foreign fiber weight and size, generating the second-mode jet control parameters.

[0055] Step S700: Control the seed cotton foreign fiber cleaning machine to sequentially perform air jet control on the target seed cotton according to the first mode air jet control parameters and the second mode air jet control parameters.

[0056] In this embodiment, the cleaning machine is started, and the conveyor belt evenly transports the target seed cotton to the air-jet zone. Sensors detect foreign fibers in the seed cotton in real time, and automatically select an appropriate air-jet control mode based on the detection results. When foreign fibers with a unit weight greater than the unit weight of seed cotton are detected, the system uses the first mode air-jet control parameters. The cleaning machine adjusts the airflow intensity and direction according to these parameters, so that lighter seed cotton is blown up by the airflow, while heavier foreign fibers remain in place. When foreign fibers with a unit weight less than the unit weight of seed cotton are detected, the second mode air-jet control parameters are used. The cleaning machine adjusts the airflow intensity and direction according to these parameters, so that lighter foreign fibers are blown away by the airflow, while heavier seed cotton remains stationary.

[0057] Furthermore, in the method provided in the application embodiments, based on the unit seed cotton weight information, the foreign fiber type list, and the unit foreign fiber weight information list, locating the first mode separated foreign fiber weight list and the second mode separated foreign fiber weight list includes:

[0058] Compare the unit seed cotton weight information and the unit foreign fiber weight information list to determine whether there are any abnormal foreign fibers separated by air jet separation whose weight deviation from the target seed cotton is less than a preset deviation; if so, obtain the size distribution characteristics of the abnormal foreign fibers separated by air jet separation and compare them with the size characteristics of the target seed cotton; if the size deviation between the abnormal foreign fibers separated by air jet separation and the target seed cotton is greater than a preset threshold, start the vibrating screen for screening control.

[0059] In this embodiment, when determining abnormal foreign fibers in air-jet separation, the weight information of each unit of seed cotton is compared with the weight of each foreign fiber in the list of unit foreign fiber weight information, and the deviation between each foreign fiber and the unit seed cotton weight is calculated. If the deviation is less than a preset deviation threshold, such as 5%, it is marked as an abnormal foreign fiber in air-jet separation.

[0060] For foreign fibers marked as exhibiting jet separation anomalies, their size distribution characteristics are acquired. Images of the foreign fibers are captured using a camera, and their size features, such as length, width, and thickness, are extracted using image processing algorithms. The acquired size distribution characteristics of the anomalous foreign fibers are then compared with the size characteristics of the target seed cotton. If the deviation between the size characteristics of the anomalous foreign fibers and the target seed cotton exceeds a preset threshold, such as 10%, the foreign fiber is deemed to have a significant size difference from the seed cotton.

[0061] For abnormal foreign fibers with size deviations exceeding a preset threshold, a vibrating screen is activated for screening control. The vibrating screen is a mechanical device that separates foreign fibers with significant size differences from the seed cotton through vibration and the coordination of the screen aperture. When abnormal foreign fibers requiring screening are detected, the vibrating screen device is activated, and the screen begins to work, using high-frequency vibration to separate the foreign fibers with significant size differences from the seed cotton. Due to their different size characteristics, the foreign fibers are screened out through the screen aperture, while the seed cotton remains on the screen.

[0062] Furthermore, the method provided in the application embodiments also includes:

[0063] The seed cotton foreign fiber cleaning machine includes a feeding device, an air jet cleaning chamber, a seed cotton circulation cleaning device, a seed cotton collection device, and a foreign fiber recovery device. The air jet cleaning chamber includes multiple airflow nozzles. The feeding device is used to transport target cotton seeds to the air jet cleaning chamber. The seed cotton circulation cleaning device is connected to the air jet cleaning chamber through a first separation port, and the foreign fiber recovery device is connected to the air jet cleaning chamber through a second separation port.

[0064] In this embodiment, the structure of the seed cotton foreign fiber cleaning machine includes a feeding device, an air jet cleaning chamber, a seed cotton circulation cleaning device, a seed cotton collection device, and a foreign fiber recovery device. The air jet cleaning chamber is equipped with multiple airflow nozzles; these components cooperate to achieve efficient foreign fiber separation and seed cotton cleaning.

[0065] The feeding device transports the target cottonseed to the air-jet cleaning chamber. The feeding device is a system with a conveyor belt that delivers the cottonseed evenly and continuously to the air-jet cleaning chamber. The conveyor belt speed and feed rate are predetermined by technical experts to ensure a stable entry of the cottonseed into the air-jet cleaning chamber. The air-jet cleaning chamber is the core component of the cleaning machine, containing multiple airflow nozzles. These nozzles inject high-pressure air, generating a strong airflow to separate foreign fibers from the cottonseed. During the air-jet cleaning process, the airflow blows lighter foreign fibers away from the cottonseed, which are then sorted through a first and second separation port within the air-jet cleaning chamber. Heavier cottonseed remains within the air-jet cleaning chamber under the influence of the airflow and is circulated for cleaning through gravity and airflow regulation. The air-jet cleaning chamber is connected to a seed-cotton circulation cleaning device via the first separation port. The seed-cotton circulation cleaning device returns incompletely cleaned cottonseed to the air-jet cleaning chamber for secondary cleaning, ensuring that all cottonseed meets the cleaning standards. The circulation cleaning device includes a conveyor belt or screw conveyor, which efficiently returns the cottonseed to the air-jet cleaning chamber. The foreign fiber recovery device is connected to the air-jet cleaning chamber via the second separation port. After the airflow separates foreign fibers from the cottonseed, the fibers are conveyed through a second separation port to a foreign fiber recovery device. The recovery device includes a collection box or filter bag for collecting and storing the separated foreign fibers. The foreign fiber recovery device ensures efficient separation and collection of foreign fibers from the airflow through airflow regulation and mechanical separation. A seed cotton collection device is used to collect the cleaned cottonseed. The cleaned cottonseed is discharged from the bottom of the air-jet cleaning chamber by gravity or a conveyor belt and enters the seed cotton collection device. The collection device is a large container or warehouse capable of holding a large quantity of cleaned cottonseed.

[0066] Furthermore, in the method provided in the application embodiment, controlling the seed cotton foreign fiber cleaning machine to sequentially perform air jet control on the target seed cotton according to the first modal air jet control parameters and the second modal air jet control parameters includes:

[0067] The target cottonseed is transported to the air jet cleaning chamber via the feeding device. The first separation port is opened and the second separation port is closed. The multiple airflow nozzles are controlled according to the first mode air jet control parameters. After the foreign fiber separation control under the first separation mode is completed, the foreign fibers in the air jet cleaning chamber are transferred to the foreign fiber recovery device. The cottonseed in the seed cotton circulation temporary storage device is transferred to the feeding device of the seed cotton foreign fiber cleaning machine for the second separation mode foreign fiber separation control.

[0068] In this embodiment, the target cottonseed is first transported to the air-jet cleaning chamber via a feeding device. In the first separation mode, the first separation port of the air-jet cleaning chamber is opened, and the second separation port is closed. Multiple airflow nozzles are controlled according to the air-jet control parameters of the first mode. The airflow nozzles spray high-pressure air to generate a strong airflow, separating the heavier foreign fibers. Under the action of the airflow, the heavier foreign fibers are separated and enter the seed cotton circulation cleaning device through the first separation port. The cleaning device sends the cottonseeds that are not completely cleaned back to the air-jet cleaning chamber for secondary cleaning to ensure that all cottonseeds meet the cleaning standards. The lighter cottonseeds remain in the air-jet cleaning chamber and are circulated and cleaned by gravity and airflow regulation.

[0069] After completing the foreign fiber separation control in the first separation mode, the foreign fibers in the air-jet cleaning chamber are transferred to the foreign fiber recovery device. Next, the cotton seeds in the seed cotton circulation temporary storage device are transferred to the feeding device of the seed cotton foreign fiber cleaning machine, and the foreign fiber separation control in the second separation mode begins.

[0070] Furthermore, in the method provided in the application embodiments, the separation control of foreign fibers under the second separation mode includes:

[0071] Open the second separation port and close the first separation port. Control the plurality of airflow nozzles according to the second mode air jet control parameters. After completing the foreign fiber separation control in the second separation mode, collect the seed cotton that has been separated into foreign fibers in the air jet cleaning chamber into the seed cotton collection device.

[0072] In this embodiment, cotton seeds in the seed cotton circulation storage device are transferred to the feeding device of the seed cotton foreign fiber cleaning machine to begin the foreign fiber separation control in the second separation mode. In the second separation mode, the second separation port of the air jet cleaning chamber is opened, and the first separation port is closed. Multiple airflow nozzles in the air jet cleaning chamber are controlled according to the air jet control parameters of the second mode. The airflow nozzles inject high-pressure air to generate an appropriate airflow, separating lighter foreign fibers. Under the action of the airflow, the lighter foreign fibers are separated and enter the foreign fiber recovery device through the second separation port. Through airflow regulation and mechanical separation, it is ensured that foreign fibers can be separated from the airflow and collected. Meanwhile, heavier cotton seeds, due to their greater weight, cannot be blown away by the airflow and remain in the air jet cleaning chamber. After the foreign fiber separation control in the second separation mode is completed, the seed cotton in the air jet cleaning chamber that has undergone foreign fiber separation is collected in the seed cotton collection device.

[0073] In summary, the embodiments of this application have at least the following technical effects:

[0074] This application obtains target seed cotton transported to a seed cotton foreign fiber cleaning machine, identifies the foreign fiber size distribution characteristics of the target seed cotton through a foreign fiber monitoring module, and generates a list of foreign fiber types and a list of foreign fiber size distribution characteristics; based on the list of foreign fiber types and the list of foreign fiber size distribution characteristics, it identifies foreign fiber weight characteristics and generates a list of unit foreign fiber weight information; it samples the target seed cotton through an automatic sampling device, performs weight analysis based on the samples, and generates unit seed cotton weight information; based on the unit seed cotton weight information, it performs jet control analysis on the seed cotton foreign fiber cleaning machine under dual-jet separation modes, generating a first jet control model corresponding to the first separation mode and a second jet control model corresponding to the second separation mode, wherein the first... The first separation mode is used to separate foreign fibers with a unit weight greater than the unit seed cotton weight information, and the second separation mode is used to separate foreign fibers with a unit weight less than the unit seed cotton weight information. Based on the unit seed cotton weight information, the foreign fiber type list, and the unit foreign fiber weight information list, the foreign fiber weight lists separated by the first and second modes are located. The foreign fiber weight lists separated by the first mode are input into the first air jet control model, and the foreign fiber weight lists separated by the second mode are input into the second air jet control model to generate the first and second mode air jet control parameters. The seed cotton foreign fiber cleaning machine is controlled to sequentially perform air jet control on the target seed cotton according to the first and second mode air jet control parameters. This invention solves the technical problems of low efficiency and low accuracy in seed cotton foreign fiber cleaning in the prior art. Through intelligent air jet control, foreign fiber identification, and weight analysis, it achieves the technical effect of improving the efficiency and accuracy of seed cotton foreign fiber cleaning.

[0075] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0076] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0077] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and modifications.

Claims

1. A dual-modal air jet control method for seed cotton foreign fibers, characterized in that, include: The target seed cotton is transported to the seed cotton foreign fiber cleaning machine. The foreign fiber monitoring module identifies the foreign fiber size distribution characteristics of the target seed cotton and generates a list of foreign fiber types and a list of foreign fiber size distribution characteristics. Based on the list of foreign fiber types and the list of foreign fiber size distribution characteristics, foreign fiber weight characteristics are identified to generate a list of unit foreign fiber weight information. The target seed cotton is sampled using an automatic sampling device, and weight analysis is performed based on the sample to generate unit seed cotton weight information. Based on the unit seed cotton weight information, the jet control analysis of the seed cotton foreign fiber cleaning machine under dual jet separation mode is performed to generate a first jet control model corresponding to the first separation mode and a second jet control model corresponding to the second separation mode. The first separation mode is used to separate foreign fibers with a unit weight greater than the unit seed cotton weight information, and the second separation mode is used to separate foreign fibers with a unit weight less than the unit seed cotton weight information. Based on the unit seed cotton weight information, the list of foreign fiber types, and the list of unit foreign fiber weight information, locate the first mode separated foreign fiber weight list and the second mode separated foreign fiber weight list. Input the first modal separated foreign fiber weight list into the first jet control model, and input the second modal separated foreign fiber weight list into the second jet control model to generate the first modal jet control parameters and the second modal jet control parameters; The seed cotton foreign fiber cleaning machine is controlled to sequentially perform air jet control on the target seed cotton according to the first mode air jet control parameters and the second mode air jet control parameters; The foreign fiber monitoring module includes a photoelectric analysis module, an ultrasonic analysis module, and a high-resolution image analysis module; The photoelectric analysis module includes a photoelectric sensor and a first foreign fiber feature analysis model; the ultrasonic analysis module includes an ultrasonic sensor and a second foreign fiber feature analysis model; and the high-resolution image analysis module includes an image sensor and a third foreign fiber feature analysis model. The first foreign fiber feature analysis model, the second foreign fiber feature analysis model and the third foreign fiber feature analysis model have a first output weight, a second output weight and a third output weight, respectively. The aforementioned dual-modal air jet control method for seed cotton foreign fibers further includes: Obtain the front-end continuous process information of the target seed cotton, perform foreign fiber type introduction analysis, and generate a preset foreign fiber type; Using the preset foreign fiber type as a constraint, the first foreign fiber feature analysis model, the second foreign fiber feature analysis model, and the third foreign fiber feature analysis model are trained and constructed. The optical fiber size distribution characteristics are obtained, and the optical fiber feature analysis test is performed on the photoelectric analysis module, the ultrasonic analysis module and the high-resolution image analysis module respectively to generate the photoelectric test sample set, the ultrasonic test sample set and the image test sample set; The preset fiber size distribution characteristics are compared with the photoelectric test sample set, the ultrasonic test sample set, and the image test sample set, respectively, and the first confidence level, the second confidence level, and the third confidence level are output. The first output weight, the second output weight, and the third output weight are generated based on the first confidence level, the second confidence level, and the third confidence level. The outputs of the first foreign fiber feature analysis model, the second foreign fiber feature analysis model, and the third foreign fiber feature analysis model are connected through the first output weight, the second output weight, and the third output weight.

2. The dual-modal air jet control method for seed cotton foreign fibers as described in claim 1, characterized in that, Based on the list of foreign fiber types and the list of foreign fiber size distribution characteristics, foreign fiber weight characteristics are identified to generate a list of unit foreign fiber weight information, including: Extract the first size distribution feature of the first foreign fiber type based on the size distribution feature list; Using the first type of foreign fiber as a constraint, a sample set of the size of the first foreign fiber and a sample set of the weight of the first foreign fiber are collected to construct a first weight-size relationship curve; The first size distribution feature is input into the first weight-size relationship curve to generate the first unit foreign fiber weight information, and then added to the unit foreign fiber weight information list.

3. The dual-modal air jet control method for seed cotton foreign fibers as described in claim 2, characterized in that, Based on the unit seed cotton weight information, the foreign fiber type list, and the unit foreign fiber weight information list, the first mode separated foreign fiber weight list and the second mode separated foreign fiber weight list are located, and the method further includes: Compare the unit seed cotton weight information and the unit foreign fiber weight information list to determine whether there are any abnormal foreign fibers separated by air jet separation whose weight deviation from the target seed cotton is less than a preset deviation; If present, obtain the size distribution characteristics of the abnormal foreign fibers separated by air jet separation and compare them with the size characteristics of the target seed cotton. If the size deviation between the abnormal foreign fibers separated by air jet separation and the target seed cotton is greater than a preset threshold, start the vibrating screen for screening control.

4. The dual-modal air jet control method for seed cotton foreign fibers as described in claim 1, characterized in that, The seed cotton foreign fiber cleaning machine includes a feeding device, an air jet cleaning chamber, a seed cotton circulation cleaning device, a seed cotton collection device, and a foreign fiber recovery device, wherein the air jet cleaning chamber includes multiple airflow nozzles; The feeding device is used to transport the target cottonseeds to the jet cleaning chamber; The seed cotton circulation cleaning device is connected to the air jet cleaning chamber through a first separation port, and the foreign fiber recovery device is connected to the air jet cleaning chamber through a second separation port.

5. The dual-modal air jet control method for seed cotton foreign fibers as described in claim 4, characterized in that, The seed cotton foreign fiber cleaning machine is controlled to sequentially perform air jet control on the target seed cotton according to the first mode air jet control parameters and the second mode air jet control parameters, including: The target cottonseeds are transported to the air jet cleaning chamber via the feeding device, the first separation port is opened, the second separation port is closed, and the plurality of airflow nozzles are controlled according to the first mode air jet control parameters; After completing the foreign fiber separation control in the first separation mode, the foreign fibers in the jet cleaning chamber are transferred to the foreign fiber recovery device, and the cotton seeds in the seed cotton circulation temporary storage device are transferred to the feeding device of the seed cotton foreign fiber cleaning machine to carry out the foreign fiber separation control in the second separation mode.

6. The dual-modal air jet control method for seed cotton foreign fibers as described in claim 5, characterized in that, Performing foreign fiber separation control in the second separation mode includes: Open the second separation port, close the first separation port, and control the plurality of airflow nozzles according to the second mode jet control parameters; After completing the foreign fiber separation control in the second separation mode, the seed cotton that has completed the foreign fiber separation in the air jet cleaning chamber is collected into the seed cotton collection device.

Images