Tea leaf cleaning and dust removing device with multiple cleaning units

Abstract

This invention relates to the field of tea cleaning and dust removal technology, and discloses a tea cleaning and dust removal device with multiple cleaning units, including: a frame, a conveying system, a pre-cleaning unit, a main cleaning unit, a water circulation system, and a control system; the control system is connected to the conveying system, the multiple cleaning units, the dust removal unit, and the water circulation system, and includes a pre-cleaning parameter determination module, a main cleaning parameter determination module, a parameter judgment module, and a main cleaning parameter adjustment module. This invention achieves graded cleaning of tea, enabling precise processing of tea with different levels of contamination, and effectively solves the problem of uneven cleaning effect in traditional single cleaning units.

Description

Technical Field

[0001] This invention relates to the field of tea cleaning and dust removal technology, and more specifically, to a tea cleaning and dust removal device with multiple cleaning units. Background Technology

[0002] In tea processing, cleaning and dust removal are crucial steps in ensuring tea quality. Traditional tea cleaning equipment often uses a single cleaning unit, which suffers from uneven cleaning results, high tea breakage rates, water waste, and difficulty in flexibly adjusting cleaning parameters according to tea characteristics and contamination levels. For example, some devices only use simple spraying or agitation, which is insufficient to thoroughly remove stubborn dirt and fine impurities adhering to the tea surface; while over-cleaning can easily cause the tea cell walls to rupture, leading to the loss of effective components and affecting the tea's color, aroma, and flavor. Furthermore, existing equipment has low water recycling rates, with large amounts of water being directly discharged, increasing production costs and failing to meet energy conservation and environmental protection requirements. In addition, the manual control of cleaning parameters is highly subjective, making it difficult to achieve standardized and precise cleaning, resulting in significant fluctuations in the cleaning quality of different batches of tea.

[0003] Therefore, it is necessary to design a tea cleaning and dust removal device with multiple cleaning units to solve the problems existing in the current technology. Summary of the Invention

[0004] In view of this, the present invention proposes a tea cleaning and dust removal device with multiple cleaning units, which aims to solve the problems of uneven cleaning effect, high tea breakage rate, water waste and difficulty in flexibly adjusting cleaning parameters in traditional tea cleaning devices.

[0005] This invention proposes a tea cleaning and dust removal device with multiple cleaning units, comprising: The system comprises a frame, a conveying system, a pre-cleaning unit, a main cleaning unit, a water circulation system, and a control system. The control system is connected to the conveying system, the pre-cleaning unit, the main cleaning unit, the dust removal unit, and the water circulation system, and includes a pre-cleaning parameter determination module, a main cleaning parameter determination module, a parameter judgment module, and a main cleaning parameter adjustment module. The pre-cleaning parameter determination module is configured to collect the tea conveying parameters of the conveying system and determine the pre-cleaning parameters based on the tea conveying parameters; The main cleaning parameter determination module is configured to collect the pre-cleaning effect parameters after cleaning by the pre-cleaning unit and their corresponding historical pre-cleaning effect parameters, and determine the main cleaning parameters based on the pre-cleaning effect parameters and the historical pre-cleaning effect parameters. The parameter judgment module is configured to collect the main cleaning effect parameters after cleaning by the main cleaning unit, and determine whether to adjust the main cleaning parameters based on the main cleaning effect parameters. The main cleaning parameter adjustment module is configured to adjust the main cleaning parameters to obtain the final main cleaning parameters when it is determined that adjustment is needed, based on the main cleaning effect parameters, the corresponding historical main cleaning effect parameters, and the dust removal parameters of the dust removal unit.

[0006] Furthermore, the conveying system is mounted on the frame; the pre-cleaning unit and the main cleaning unit are arranged sequentially along the conveying direction of the conveying system for grading and cleaning the tea leaves; the dust removal unit is located downstream of the multiple cleaning units; and the water circulation system is connected to the multiple cleaning units.

[0007] Furthermore, when determining the pre-cleaning parameters based on the tea conveying parameters, the process includes: The tea conveying parameters are analyzed to obtain the tea conveying rate and the amount of tea conveyed. Based on the tea delivery rate and tea delivery volume, tea delivery characteristics are constructed; Obtain the standard pre-cleaning parameters corresponding to the standard tea conveying characteristics; The characteristic difference value between the tea conveying characteristics is calculated by comparing the tea conveying characteristics with the standard tea conveying characteristics. The pre-cleaning parameters are determined based on the standard pre-cleaning parameters and the characteristic difference values.

[0008] Further, when determining the pre-cleaning parameters based on the standard pre-cleaning parameters and feature difference values, the process includes: The feature difference value is compared with the first feature difference value and the second feature difference value, and the correction scheme of the standard pre-cleaning parameter is determined based on the comparison result; wherein, the first feature difference value is smaller than the second feature difference value; When the feature difference value is less than or equal to the first feature difference value, the correction scheme is determined to be the first correction scheme; When the feature difference value is greater than the first feature difference value and less than or equal to the second feature difference value, the correction scheme is determined to be the second correction scheme; The standard pre-cleaning parameters are modified based on the aforementioned modification scheme to obtain the pre-cleaning parameters.

[0009] Furthermore, when determining the main cleaning parameters based on the pre-cleaning effect parameters and historical pre-cleaning effect parameters, the following steps are included: The pre-cleaning effect parameters were analyzed to obtain the surface cleanliness and tea breakage rate of the tea leaves; The historical pre-cleaning effect parameters were analyzed to obtain the historical tea surface cleanliness and historical tea breakage rate; Calculate the average value and fluctuation range of the surface cleanliness of all historical tea leaves, and denot them as the historical average cleanliness and the cleanliness fluctuation range. Calculate the average and fluctuation range of all historical tea breakage rates, and denot them as the historical average breakage rate and the breakage rate fluctuation range; The current surface cleanliness of the tea leaves is compared with the historical average cleanliness, and the cleanliness deviation value is obtained by combining the range of cleanliness fluctuation. The current tea breakage rate is compared with the historical average breakage rate, and the breakage rate deviation value is obtained by combining the range of breakage rate fluctuation. The main cleaning parameters are determined based on the cleanliness deviation value and the breakage rate deviation value.

[0010] Furthermore, when determining the main cleaning parameters based on the cleanliness deviation value and the breakage rate deviation value, the following are included: The cleanliness deviation value is compared with the cleanliness deviation threshold, and the damage rate deviation value is compared with the damage rate deviation threshold. The main cleaning parameters are determined based on the comparison results. When the cleanliness deviation value is greater than or equal to the cleanliness deviation threshold, and the breakage rate deviation value is less than the breakage rate deviation threshold, the main cleaning parameter is determined to be the first main cleaning parameter. When the cleanliness deviation value is greater than or equal to the cleanliness deviation threshold, and the breakage rate deviation value is greater than or equal to the breakage rate deviation threshold, the main cleaning parameter is determined to be the second main cleaning parameter. When the cleanliness deviation value is less than the cleanliness deviation threshold and the breakage rate deviation value is less than the breakage rate deviation threshold, the main cleaning parameter is determined to be the third main cleaning parameter. When the cleanliness deviation value is less than the cleanliness deviation threshold and the breakage rate deviation value is greater than or equal to the breakage rate deviation threshold, the main cleaning parameter is determined to be the fourth main cleaning parameter.

[0011] Further, when determining whether to adjust the main cleaning parameters based on the main cleaning effect parameters, the following steps are included: Feature extraction is performed on the main cleaning effect parameters to obtain the main cleaning effect feature values; Obtain the predicted value of the main cleaning effect corresponding to each of the main cleaning effect feature values; The predicted value of the main cleaning effect is compared with the preset standard value of the main cleaning effect, and the prediction deviation value between the two is calculated. The predicted deviation value is compared with the allowable deviation range, and the main cleaning parameters are adjusted based on the comparison results.

[0012] Furthermore, when determining whether to adjust the main cleaning parameters based on the comparison results, the following steps are included: When the predicted deviation value is within the allowable deviation range, it is determined that there is no need to adjust the main cleaning parameters; When the predicted deviation value exceeds the allowable deviation range, it is determined that the main cleaning parameters need to be adjusted.

[0013] Furthermore, when adjusting the main cleaning parameters to obtain the final main cleaning parameters based on the main cleaning effect parameters, their corresponding historical main cleaning effect parameters, and the dust removal parameters of the dust removal unit, the process includes: The ratio of the predicted deviation value to the center value of the allowable deviation range is obtained and denoted as the prediction deviation ratio. The prediction deviation ratio is compared with a first deviation ratio threshold and a second deviation ratio threshold, wherein the first deviation ratio threshold is less than the second deviation ratio threshold; The adjustment range of the corresponding main cleaning parameters is determined based on the comparison results; Based on the historical main cleaning effect parameters and the dust removal parameters of the dust removal unit, a collaborative correction strategy is adopted to correct the adjustment range to obtain the final adjustment range; The main cleaning parameters are corrected based on the final adjustment range to obtain the final main cleaning parameters.

[0014] Further, when correcting the adjustment range using a collaborative correction strategy to obtain the final adjustment range, the following steps are included: The historical main cleaning effect parameters are analyzed and normalized to obtain historical cleaning effect feature information. The dust removal parameters of the dust removal unit are analyzed and normalized to obtain dust removal intensity feature information. Based on the historical cleaning effect characteristics and dust removal intensity characteristics, a synergistic influence factor is constructed, and the adjustment range is weighted and corrected according to the synergistic influence factor to obtain the preliminary correction adjustment range; The initial correction adjustment range is mapped to the corresponding cleaning intensity parameter, and the cleaning intensity parameter is compared with the preset cleaning optimization constraints. When the cleaning intensity parameter exceeds the cleaning optimization constraint, the initial adjustment range is limited; when the cleaning intensity parameter meets the cleaning optimization constraint, the initial adjustment range is corrected to obtain the final adjustment range.

[0015] Compared with existing technologies, the advantages of this invention are as follows: By setting up a multi-cleaning unit consisting of a pre-cleaning unit and a main cleaning unit, this invention achieves graded cleaning of tea leaves, enabling precise processing of tea leaves with different levels of contamination and effectively solving the problem of uneven cleaning effects in traditional single-cleaning units. The pre-cleaning unit removes most of the floating dust and loose impurities from the surface of the tea leaves, reducing the load on the main cleaning unit, which then deeply removes stubborn dirt, improving the overall cleaning effect. Simultaneously, the control system dynamically adjusts the pre-cleaning and main cleaning parameters by collecting tea leaf transport parameters, pre-cleaning effect parameters, and main cleaning effect parameters, combined with historical data and dust removal parameters. This avoids tea leaf damage and loss of effective components due to over-cleaning, reducing the tea leaf breakage rate. The water circulation system is connected to the multi-cleaning unit, enabling the recycling, filtration, and reuse of cleaning water, significantly improving water resource utilization and reducing water waste, thus meeting energy conservation and environmental protection requirements. Furthermore, the entire cleaning process is automatically completed by the control system to determine and adjust parameters, avoiding the subjectivity of manual control, achieving standardized and precise cleaning, effectively reducing fluctuations in the cleaning quality of different batches of tea leaves, and ensuring the stability of tea quality. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the 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.

[0017] Figure 1 This is a structural block diagram of a tea cleaning and dust removal device with multiple cleaning units provided in an embodiment of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0020] See Figure 1 As shown in some embodiments of this application, this embodiment provides a tea cleaning and dust removal device with multiple cleaning units, including: The system comprises a frame, a conveying system, a pre-cleaning unit, a main cleaning unit, a water circulation system, and a control system. The control system is connected to the conveying system, the pre-cleaning unit, the main cleaning unit, the dust removal unit, and the water circulation system, and includes a pre-cleaning parameter determination module, a main cleaning parameter determination module, a parameter judgment module, and a main cleaning parameter adjustment module. The pre-cleaning parameter determination module is configured to collect the tea conveying parameters of the conveying system and determine the pre-cleaning parameters based on the tea conveying parameters; The main cleaning parameter determination module is configured to collect the pre-cleaning effect parameters after cleaning by the pre-cleaning unit and their corresponding historical pre-cleaning effect parameters, and determine the main cleaning parameters based on the pre-cleaning effect parameters and the historical pre-cleaning effect parameters. The parameter judgment module is configured to collect the main cleaning effect parameters after cleaning by the main cleaning unit, and determine whether to adjust the main cleaning parameters based on the main cleaning effect parameters. The main cleaning parameter adjustment module is configured to adjust the main cleaning parameters to obtain the final main cleaning parameters when it is determined that adjustment is needed, based on the main cleaning effect parameters, the corresponding historical main cleaning effect parameters, and the dust removal parameters of the dust removal unit.

[0021] It is understandable that this embodiment, by setting up a multi-cleaning unit consisting of a pre-cleaning unit and a main cleaning unit, achieves graded cleaning of tea leaves. This allows for precise processing of tea leaves with varying degrees of contamination, effectively solving the problem of uneven cleaning results in traditional single-cleaning units. The pre-cleaning unit removes most of the surface dust and loose impurities from the tea leaves, reducing the load on the main cleaning unit, which then deeply cleans stubborn dirt, improving the overall cleaning effect. Simultaneously, the control system dynamically adjusts the pre-cleaning and main cleaning parameters by collecting tea delivery parameters, pre-cleaning effect parameters, and main cleaning effect parameters, combined with historical data and dust removal parameters. This avoids over-cleaning leading to tea leaf damage and loss of effective components, reducing the tea leaf breakage rate. The water circulation system is connected to the multi-cleaning unit, enabling the recycling, filtration, and reuse of cleaning water, significantly improving water resource utilization and reducing water waste, thus meeting energy conservation and environmental protection requirements. Furthermore, the entire cleaning process is automatically controlled by the control system to determine and adjust parameters, avoiding the subjectivity of manual control and achieving standardized and precise cleaning. This effectively reduces fluctuations in the cleaning quality of different batches of tea leaves, ensuring the stability of tea quality.

[0022] Specifically, the conveying system is mounted on the frame; the pre-cleaning unit and the main cleaning unit are arranged sequentially along the conveying direction of the conveying system for grading and cleaning the tea leaves; the dust removal unit is located downstream of the multiple cleaning units; and the water circulation system is connected to the multiple cleaning units.

[0023] Understandably, the conveying system can adopt a belt or mesh conveyor structure with evenly distributed permeable holes on the conveying surface. This ensures stable transport of tea leaves while allowing wastewater and impurities to pass through, preventing stagnation. The pre-cleaning unit is equipped with a high-pressure spray assembly and a brush roller assembly. The spray assembly uses adjustable-angle fan-shaped nozzles, allowing adjustment of the spray direction and water pressure according to the tea leaves. The brush roller assembly consists of flexible nylon brushes that rotate under the drive of a driving device, gently brushing the tea leaves to initially remove impurities. The main cleaning unit is equipped with an ultrasonic cleaning device and a bubble generator. The former generates microbubbles through high-frequency vibration, and the impact force when these bubbles burst can remove stubborn stains. The latter generates a large number of fine bubbles, causing the tea leaves to tumble and improving the uniformity of cleaning. The dust removal unit is located after the main cleaning unit and contains a negative pressure suction device and a vibrating screen. After the main cleaning, the tea leaves are conveyed here. The vibrating screen disperses the tea leaves, and the negative pressure suction device removes residual water droplets and fine dust particles, achieving rapid drying and further dust removal. The water circulation system includes a water collection tank, a filtration device, a disinfection device, and a water pump. Wastewater from multiple cleaning units is first collected in the water collection tank, then filtered to remove impurities and tea residue, and disinfected to kill microorganisms. The treated water is pumped back to the pre-cleaning and main cleaning units for reuse. The system is also equipped with a water level monitoring and automatic water replenishment device to ensure a stable water supply.

[0024] Specifically, determining the pre-cleaning parameters based on the tea transport parameters includes: The tea conveying parameters are analyzed to obtain the tea conveying rate and the amount of tea conveyed. Based on the tea delivery rate and tea delivery volume, tea delivery characteristics are constructed; Obtain the standard pre-cleaning parameters corresponding to the standard tea conveying characteristics; The characteristic difference value between the tea conveying characteristics is calculated by comparing the tea conveying characteristics with the standard tea conveying characteristics. The pre-cleaning parameters are determined based on the standard pre-cleaning parameters and the characteristic difference values.

[0025] In this embodiment, the standard tea conveying characteristics refer to the range of tea conveying speed and quantity determined through extensive experiments and statistical data, which enables the pre-cleaning effect to reach an ideal state. For example, when the tea conveying speed is 1.2 m / min and the conveying quantity is 50 kg / h, the corresponding standard pre-cleaning parameters may include a spray water pressure of 0.3 MPa, a brush roller speed of 150 rpm, and a spraying time of 30 seconds.

[0026] In this embodiment, the characteristic difference value refers to the quantitative difference between the current tea conveying characteristics and the standard tea conveying characteristics. For example, if the current tea conveying speed is 1.5 m / min (higher than the standard 1.2 m / min) and the conveying volume is 60 kg / h (higher than the standard 50 kg / h), the characteristic difference value between the two is obtained through a preset algorithm (such as weighted summation or Euclidean distance calculation). Assuming the speed difference weight is 0.6 and the conveying volume difference weight is 0.4, the speed difference is (1.5-1.2) / 1.2=0.25 and the conveying volume difference is (60-50) / 50=0.2, then the characteristic difference value = 0.25×0.6+0.2×0.4=0.15+0.08=0.23. Then, the standard pre-cleaning parameters are dynamically adjusted according to the characteristic difference value.

[0027] Specifically, determining the pre-cleaning parameters based on the standard pre-cleaning parameters and feature difference values ​​includes: The feature difference value is compared with the first feature difference value and the second feature difference value, and the correction scheme of the standard pre-cleaning parameter is determined based on the comparison result; wherein, the first feature difference value is smaller than the second feature difference value; When the feature difference value is less than or equal to the first feature difference value, the correction scheme is determined to be the first correction scheme; When the feature difference value is greater than the first feature difference value and less than or equal to the second feature difference value, the correction scheme is determined to be the second correction scheme; The standard pre-cleaning parameters are modified based on the aforementioned modification scheme to obtain the pre-cleaning parameters.

[0028] In this embodiment, the pre-cleaning parameters include spray water pressure, brush roller speed, spray time, distance between the brush roller and the tea conveying surface, and spray water temperature.

[0029] Understandably, the first and second characteristic difference values ​​are thresholds used to distinguish the degree of difference between the tea conveying characteristics and the standard characteristics. For example, the first characteristic difference value is set to 0.1, and the second characteristic difference value is set to 0.3. When the characteristic difference value is less than or equal to 0.1 (the first characteristic difference value), it indicates that the current tea conveying state deviates slightly from the standard state. In this case, the first correction scheme is adopted, which only makes minor adjustments to the standard pre-cleaning parameters. For example, the spray water pressure is increased by 5% based on the standard value of 0.3 MPa, and the brush roller speed is increased by 3%, to adapt to slight changes in conveying volume or rate and avoid unnecessary impact or insufficient cleaning of the tea due to excessive parameter adjustment. When the characteristic difference value is greater than 0.1 and less than or equal to 0.3 (the second characteristic difference value), it indicates that there is a moderate degree of deviation between the tea conveying state and the standard state. In this case, the second correction scheme is required to make more significant parameter adjustments, such as increasing the spray water pressure by 15%, increasing the brush roller speed by 10%, and so on. The spraying time is extended by 8%, while the distance between the brush roller and the tea conveying surface is reduced by 2mm. Through the coordinated adjustment of multiple parameters, the cleaning intensity of the tea is ensured to match the current conveying state to achieve the ideal pre-cleaning effect. If the characteristic difference value is greater than the second characteristic difference value of 0.3, it indicates that the tea conveying state deviates significantly from the standard state. At this time, the third correction scheme will be adopted to make more significant parameter adjustments, including significantly increasing the spray water pressure to more than 20% of the standard value, increasing the brush roller speed by 15%-20%, significantly extending the spraying time, reducing the distance between the brush roller and the conveying surface by 4mm, and appropriately increasing the spray water temperature by 2-3℃. By strengthening the combination of cleaning parameters, the large fluctuations in the conveying state can be addressed to ensure the pre-cleaning effect.

[0030] Specifically, when determining the main cleaning parameters based on the pre-cleaning effect parameters and historical pre-cleaning effect parameters, the following steps are included: The pre-cleaning effect parameters were analyzed to obtain the surface cleanliness and tea breakage rate of the tea leaves; The historical pre-cleaning effect parameters were analyzed to obtain the historical tea surface cleanliness and historical tea breakage rate; Calculate the average value and fluctuation range of the surface cleanliness of all historical tea leaves, and denot them as the historical average cleanliness and the cleanliness fluctuation range. Calculate the average and fluctuation range of all historical tea breakage rates, and denot them as the historical average breakage rate and the breakage rate fluctuation range; The current surface cleanliness of the tea leaves is compared with the historical average cleanliness, and the cleanliness deviation value is obtained by combining the range of cleanliness fluctuation. The current tea breakage rate is compared with the historical average breakage rate, and the breakage rate deviation value is obtained by combining the range of breakage rate fluctuation. The main cleaning parameters are determined based on the cleanliness deviation value and the breakage rate deviation value.

[0031] Understandably, if the current surface cleanliness of the tea leaves is 85%, the historical average is 90%, the cleanliness fluctuation range is ±3%, and the deviation value is -5%, exceeding the lower limit, it indicates that the cleanliness of the tea leaves after pre-cleaning is lower than the historical average, and the main cleaning parameters need to be increased. If the current tea leaf breakage rate is 3%, the historical average is 2%, the breakage rate fluctuation range is ±0.5%, and the deviation value is 1%, exceeding the upper limit, it indicates that the tea leaf breakage during pre-cleaning is more severe than the historical average, and the main cleaning parameters need to be weakened. The control system calculates a comprehensive adjustment coefficient by combining the weights of the cleanliness and breakage rate deviation values ​​(e.g., cleanliness 0.6, breakage rate 0.4), and determines the main cleaning parameters (e.g., ultrasonic power, bubble generation, cleaning time, etc.). If the cleanliness deviation value is the main cause, the ultrasonic power is increased and the cleaning time is extended first; if the breakage rate deviation value is dominant, the ultrasonic power is reduced and the bubble generation value is decreased to ensure the cleaning effect and protect the integrity of the tea leaves.

[0032] Specifically, when determining the main cleaning parameters based on the cleanliness deviation value and the breakage rate deviation value, the following are included: The cleanliness deviation value is compared with the cleanliness deviation threshold, and the damage rate deviation value is compared with the damage rate deviation threshold. The main cleaning parameters are determined based on the comparison results. When the cleanliness deviation value is greater than or equal to the cleanliness deviation threshold, and the breakage rate deviation value is less than the breakage rate deviation threshold, the main cleaning parameter is determined to be the first main cleaning parameter. When the cleanliness deviation value is greater than or equal to the cleanliness deviation threshold, and the breakage rate deviation value is greater than or equal to the breakage rate deviation threshold, the main cleaning parameter is determined to be the second main cleaning parameter. When the cleanliness deviation value is less than the cleanliness deviation threshold and the breakage rate deviation value is less than the breakage rate deviation threshold, the main cleaning parameter is determined to be the third main cleaning parameter. When the cleanliness deviation value is less than the cleanliness deviation threshold and the breakage rate deviation value is greater than or equal to the breakage rate deviation threshold, the main cleaning parameter is determined to be the fourth main cleaning parameter.

[0033] Understandably, the cleanliness deviation threshold is the critical value used to determine whether the current surface cleanliness of the tea leaves requires enhanced treatment by the main cleaning unit. For example, it is set to -5%, meaning that when the cleanliness deviation value is less than or equal to -5%, it indicates that the cleanliness of the pre-cleaned tea leaves has not reached the lower limit of the historical average level, and the main cleaning unit needs to increase the cleaning intensity. The breakage rate deviation threshold is the critical value used to determine whether the degree of breakage of the tea leaves during the pre-cleaning process exceeds the acceptable range. For example, it is set to 1%, meaning that when the breakage rate deviation value is greater than or equal to 1%, it indicates that the breakage of the tea leaves caused by the pre-cleaning is more serious than the historical average level, and the main cleaning unit needs to appropriately reduce the cleaning intensity to avoid further breakage.

[0034] Understandably, the first main cleaning parameter involves increasing the power of the ultrasonic cleaning device to 120%-130% of the standard value, extending the ultrasonic cleaning time by 8%-12%, and simultaneously increasing the bubble generation by 15%-20%. This enhances the cavitation effect of the ultrasound and the tumbling action of the bubbles, strengthening the removal of stubborn stains on the tea surface to compensate for insufficient pre-cleaning cleanliness. The second main cleaning parameter adopts a compromise strategy, increasing the ultrasonic power to 105%-110% of the standard value, slightly extending the cleaning time by 3%-5%, and increasing the bubble generation by 5%-8%. This ensures a certain cleaning intensity to improve cleanliness while avoiding further damage to the tea due to over-cleaning. Close monitoring of the tea's condition is necessary during this process. The third main cleaning parameter uses the standard main cleaning parameters, i.e., operating according to the preset standard ultrasonic power, bubble generation, and cleaning time. Because the current pre-cleaning effect is good, and the surface cleanliness and damage rate of the tea are within the reasonable fluctuation range of historical averages, no additional adjustments are needed to meet the cleaning requirements. The fourth main cleaning parameter requires reducing the power of the ultrasonic cleaning device to 85%-90% of the standard value, reducing the amount of bubbles generated by 10%-15%, and appropriately shortening the cleaning time by 5%-8%. By weakening the cleaning intensity, the main cleaning process can avoid causing secondary damage to the tea leaves that have already been damaged in the pre-cleaning process, thus prioritizing the integrity of the tea leaves.

[0035] Specifically, determining whether to adjust the main cleaning parameters based on the main cleaning effect parameters includes: Feature extraction is performed on the main cleaning effect parameters to obtain the main cleaning effect feature values; Obtain the predicted value of the main cleaning effect corresponding to each of the main cleaning effect feature values; The predicted value of the main cleaning effect is compared with the preset standard value of the main cleaning effect, and the prediction deviation value between the two is calculated. The predicted deviation value is compared with the allowable deviation range, and the main cleaning parameters are adjusted based on the comparison results.

[0036] In this embodiment, the main cleaning effect characteristics include the percentage of residual dirt area on the surface of the tea leaves after main cleaning, the integrity score of the tea leaf structure, the concentration of tea residue particles in the water after cleaning, and the dissolution amount of effective components of tea leaves (such as tea polyphenols and amino acids).

[0037] In this embodiment, the preferred feature value for the main cleaning effect is the tea leaf tissue structure integrity score.

[0038] It is understandable that the predicted value of the main cleaning effect is a comprehensive prediction of the final cleaning effect based on the above-mentioned main cleaning effect feature values, through a trained machine learning model (such as a multiple linear regression model, a neural network model, etc.).

[0039] Specifically, when determining whether to adjust the main cleaning parameters based on the comparison results, the following steps are included: When the predicted deviation value is within the allowable deviation range, it is determined that there is no need to adjust the main cleaning parameters; When the predicted deviation value exceeds the allowable deviation range, it is determined that the main cleaning parameters need to be adjusted.

[0040] Understandably, the allowable deviation range is a threshold value used in the prediction of the main cleaning effect to define whether the predicted deviation is acceptable. For example, if the preset standard value for the main cleaning effect corresponds to a tea tissue structure integrity score of 90, and the allowable deviation range is set to ±3, then when the predicted deviation is between -3 and 3, the main cleaning effect meets expectations and no parameter adjustment is needed. If the predicted deviation is -5 (i.e., the predicted tissue structure integrity score is 85, lower than the standard value of 5), exceeding the lower limit of the allowable deviation range, then it is determined that the main cleaning parameters need to be adjusted, such as reducing the ultrasonic power or reducing the amount of bubbles, to improve the integrity of the tea tissue structure. If the predicted deviation is 4 (i.e., the predicted score is 94, higher than the standard value of 4), exceeding the upper limit of the allowable deviation range, although the tea integrity is good, there may be insufficient cleaning power. In this case, parameters also need to be adjusted appropriately, such as slightly increasing the ultrasonic power or extending the cleaning time, to further improve cleanliness while ensuring the integrity of the tea.

[0041] Specifically, when adjusting the main cleaning parameters to obtain the final main cleaning parameters based on the main cleaning effect parameters, their corresponding historical main cleaning effect parameters, and the dust removal parameters of the dust removal unit, the following steps are taken: The ratio of the predicted deviation value to the center value of the allowable deviation range is obtained and denoted as the prediction deviation ratio. The prediction deviation ratio is compared with a first deviation ratio threshold and a second deviation ratio threshold, wherein the first deviation ratio threshold is less than the second deviation ratio threshold; The adjustment range of the corresponding main cleaning parameters is determined based on the comparison results; Based on the historical main cleaning effect parameters and the dust removal parameters of the dust removal unit, a collaborative correction strategy is adopted to correct the adjustment range to obtain the final adjustment range; The main cleaning parameters are corrected based on the final adjustment range to obtain the final main cleaning parameters.

[0042] It is understandable that the first deviation ratio threshold and the second deviation ratio threshold refer to the grading standards used to measure the magnitude of the prediction deviation ratio. For example, the first deviation ratio threshold is set to 0.3 and the second deviation ratio threshold is set to 0.6.

[0043] Specifically, when using a collaborative correction strategy to correct the adjustment magnitude to obtain the final adjustment magnitude, the following steps are included: The historical main cleaning effect parameters are analyzed and normalized to obtain historical cleaning effect feature information. The dust removal parameters of the dust removal unit are analyzed and normalized to obtain dust removal intensity feature information. Based on the historical cleaning effect characteristics and dust removal intensity characteristics, a synergistic influence factor is constructed, and the adjustment range is weighted and corrected according to the synergistic influence factor to obtain the preliminary correction adjustment range; The initial correction adjustment range is mapped to the corresponding cleaning intensity parameter, and the cleaning intensity parameter is compared with the preset cleaning optimization constraints. When the cleaning intensity parameter exceeds the cleaning optimization constraint, the initial adjustment range is limited; when the cleaning intensity parameter meets the cleaning optimization constraint, the initial adjustment range is corrected to obtain the final adjustment range.

[0044] Understandably, the specific steps for constructing a synergistic influence factor based on historical cleaning effect characteristics and dust removal intensity characteristics are as follows: First, key indicators are extracted from historical cleaning effect characteristics, such as the average historical tea surface cleanliness, the average historical tea breakage rate, and the average deviation between the historical main cleaning effect prediction value and the standard value. These indicators are then normalized, mapping their numerical range uniformly to the [0,1] interval, and denoted as the historical feature normalization vector. Simultaneously, the dust removal parameters of the dust removal unit (such as dust removal airflow velocity, dust removal time, screen aperture, etc.) are analyzed to extract dust removal intensity-related features, such as the ratio of dust removal airflow velocity to the standard velocity and the relative length of dust removal time, which are also normalized to obtain the dust removal intensity normalization vector. Then, based on the influence weights of historical cleaning effects and dust removal parameters on the main cleaning effect (obtained through training with historical data, for example, the historical cleaning effect feature weight is 0.7, and the dust removal intensity feature weight is 0.3), the historical feature normalization vector and the dust removal intensity normalization vector are weighted and summed to obtain the synergistic influence factor.

[0045] The specific steps for obtaining the preliminary adjustment range by weighting the adjustment range based on the synergistic influence factor are as follows: multiply the synergistic influence factor by the base adjustment range determined based on the prediction deviation ratio to obtain the preliminary adjustment range. For example, if the base adjustment range is to increase the ultrasonic power by 10%, and the synergistic influence factor is 0.9 (indicating that the adjustment needs to be appropriately reduced under the combined effect of historical cleaning effects and current dust removal parameters), then the preliminary adjustment range is 10% × 0.9 = 9%.

[0046] The specific steps for mapping the initial adjustment magnitude to the corresponding cleaning intensity parameter and comparing the cleaning intensity parameter with the preset cleaning optimization constraints are as follows: The main cleaning parameters involved in the initial correction and adjustment (such as the percentage of ultrasonic power adjustment, the proportion of bubble generation adjustment, and the duration of cleaning time adjustment) are converted into specific quantitative indicators of cleaning intensity. For example, the actual power value after ultrasonic power adjustment, the number of bubbles per unit time corresponding to bubble generation, and the specific number of minutes of cleaning time are integrated into a comprehensive cleaning intensity parameter. This parameter can intuitively reflect the overall cleaning intensity of the main cleaning unit.

[0047] The preset cleaning optimization constraints include an upper and lower threshold for cleaning intensity. The upper threshold is the maximum cleaning intensity set to avoid excessive cleaning that could lead to excessive tea breakage. For example, ultrasonic power should not exceed 150% of the standard value, bubble generation should not exceed 180% of the standard value, and cleaning time should not exceed 1.5 times the standard duration. The lower threshold is the minimum cleaning intensity set to ensure the cleaning effect meets the standards. For example, ultrasonic power should not be lower than 70% of the standard value, bubble generation should not be lower than 60% of the standard value, and cleaning time should not be lower than 0.8 times the standard duration. The converted comprehensive cleaning intensity parameters are compared with these two thresholds to determine whether they are within a reasonable range.

[0048] In the description of this invention, it should be understood that the terms "longitudinal", "lateral", "up", "down", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this invention, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this invention.

[0049] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Various modifications and improvements made by those skilled in the art to the technical solutions of the present invention without departing from the spirit of the present invention should fall within the protection scope defined by the claims of the present invention.

Claims

1. A tea cleaning and dust removal device with multiple cleaning units, characterized in that, include: The system comprises a frame, a conveying system, a pre-cleaning unit, a main cleaning unit, a water circulation system, and a control system. The control system is connected to the conveying system, the pre-cleaning unit, the main cleaning unit, the dust removal unit, and the water circulation system, and includes a pre-cleaning parameter determination module, a main cleaning parameter determination module, a parameter judgment module, and a main cleaning parameter adjustment module. The pre-cleaning parameter determination module is configured to collect the tea conveying parameters of the conveying system and determine the pre-cleaning parameters based on the tea conveying parameters; The main cleaning parameter determination module is configured to collect the pre-cleaning effect parameters after cleaning by the pre-cleaning unit and their corresponding historical pre-cleaning effect parameters, and determine the main cleaning parameters based on the pre-cleaning effect parameters and the historical pre-cleaning effect parameters. The parameter judgment module is configured to collect the main cleaning effect parameters after cleaning by the main cleaning unit, and determine whether to adjust the main cleaning parameters based on the main cleaning effect parameters. The main cleaning parameter adjustment module is configured to adjust the main cleaning parameters to obtain the final main cleaning parameters when it is determined that adjustment is needed, based on the main cleaning effect parameters, the corresponding historical main cleaning effect parameters, and the dust removal parameters of the dust removal unit.

2. The tea cleaning and dust removal device with multiple cleaning units according to claim 1, characterized in that, The conveying system is mounted on the frame; the pre-cleaning unit and the main cleaning unit are arranged sequentially along the conveying direction of the conveying system for grading and cleaning the tea leaves; the dust removal unit is located downstream of the multiple cleaning units; and the water circulation system is connected to the multiple cleaning units.

3. The tea cleaning and dust removal device with multiple cleaning units according to claim 2, characterized in that, When determining the pre-cleaning parameters based on the tea transport parameters, the following are included: The tea conveying parameters are analyzed to obtain the tea conveying rate and the amount of tea conveyed. Based on the tea delivery rate and tea delivery volume, tea delivery characteristics are constructed; Obtain the standard pre-cleaning parameters corresponding to the standard tea conveying characteristics; The characteristic difference value between the tea conveying characteristics is calculated by comparing the tea conveying characteristics with the standard tea conveying characteristics. The pre-cleaning parameters are determined based on the standard pre-cleaning parameters and the characteristic difference values.

4. The tea cleaning and dust removal device with multiple cleaning units according to claim 3, characterized in that, When determining the pre-cleaning parameters based on the standard pre-cleaning parameters and characteristic difference values, the following are included: The feature difference value is compared with the first feature difference value and the second feature difference value, and the correction scheme of the standard pre-cleaning parameter is determined based on the comparison result; wherein, the first feature difference value is smaller than the second feature difference value; When the feature difference value is less than or equal to the first feature difference value, the correction scheme is determined to be the first correction scheme; When the feature difference value is greater than the first feature difference value and less than or equal to the second feature difference value, the correction scheme is determined to be the second correction scheme; The standard pre-cleaning parameters are modified based on the aforementioned modification scheme to obtain the pre-cleaning parameters.

5. The tea cleaning and dust removal device with multiple cleaning units according to claim 4, characterized in that, When determining the main cleaning parameters based on the pre-cleaning effect parameters and historical pre-cleaning effect parameters, the following are included: The pre-cleaning effect parameters were analyzed to obtain the surface cleanliness and tea breakage rate of the tea leaves; The historical pre-cleaning effect parameters were analyzed to obtain the historical tea surface cleanliness and historical tea breakage rate; Calculate the average value and fluctuation range of the surface cleanliness of all historical tea leaves, and denot them as the historical average cleanliness and the cleanliness fluctuation range. Calculate the average and fluctuation range of all historical tea breakage rates, and denot them as the historical average breakage rate and the breakage rate fluctuation range; The current surface cleanliness of the tea leaves is compared with the historical average cleanliness, and the cleanliness deviation value is obtained by combining the range of cleanliness fluctuation. The current tea breakage rate is compared with the historical average breakage rate, and the breakage rate deviation value is obtained by combining the range of breakage rate fluctuation. The main cleaning parameters are determined based on the cleanliness deviation value and the breakage rate deviation value.

6. The tea cleaning and dust removal device with multiple cleaning units according to claim 5, characterized in that, When determining the main cleaning parameters based on the cleanliness deviation value and the breakage rate deviation value, the following are included: The cleanliness deviation value is compared with the cleanliness deviation threshold, and the damage rate deviation value is compared with the damage rate deviation threshold. The main cleaning parameters are determined based on the comparison results. When the cleanliness deviation value is greater than or equal to the cleanliness deviation threshold, and the breakage rate deviation value is less than the breakage rate deviation threshold, the main cleaning parameter is determined to be the first main cleaning parameter. When the cleanliness deviation value is greater than or equal to the cleanliness deviation threshold, and the breakage rate deviation value is greater than or equal to the breakage rate deviation threshold, the main cleaning parameter is determined to be the second main cleaning parameter. When the cleanliness deviation value is less than the cleanliness deviation threshold and the breakage rate deviation value is less than the breakage rate deviation threshold, the main cleaning parameter is determined to be the third main cleaning parameter. When the cleanliness deviation value is less than the cleanliness deviation threshold and the breakage rate deviation value is greater than or equal to the breakage rate deviation threshold, the main cleaning parameter is determined to be the fourth main cleaning parameter.

7. The tea cleaning and dust removal device with multiple cleaning units according to claim 6, characterized in that, When determining whether to adjust the main cleaning parameters based on the main cleaning effect parameters, the following are included: Feature extraction is performed on the main cleaning effect parameters to obtain the main cleaning effect feature values; Obtain the predicted value of the main cleaning effect corresponding to each of the main cleaning effect feature values; The predicted value of the main cleaning effect is compared with the preset standard value of the main cleaning effect, and the prediction deviation value between the two is calculated. The predicted deviation value is compared with the allowable deviation range, and the main cleaning parameters are adjusted based on the comparison results.

8. The tea cleaning and dust removal device with multiple cleaning units according to claim 7, characterized in that, When determining whether to adjust the main cleaning parameters based on the comparison results, the following are included: When the predicted deviation value is within the allowable deviation range, it is determined that there is no need to adjust the main cleaning parameters; When the predicted deviation value exceeds the allowable deviation range, it is determined that the main cleaning parameters need to be adjusted.

9. The tea cleaning and dust removal device with multiple cleaning units according to claim 8, characterized in that, When adjusting the main cleaning parameters to obtain the final main cleaning parameters based on the main cleaning effect parameters, their corresponding historical main cleaning effect parameters, and the dust removal parameters of the dust removal unit, the following steps are included: The ratio of the predicted deviation value to the center value of the allowable deviation range is obtained and denoted as the prediction deviation ratio. The prediction deviation ratio is compared with a first deviation ratio threshold and a second deviation ratio threshold, wherein the first deviation ratio threshold is less than the second deviation ratio threshold; The adjustment range of the corresponding main cleaning parameters is determined based on the comparison results; Based on the historical main cleaning effect parameters and the dust removal parameters of the dust removal unit, a collaborative correction strategy is adopted to correct the adjustment range to obtain the final adjustment range; The main cleaning parameters are corrected based on the final adjustment range to obtain the final main cleaning parameters.

10. The tea cleaning and dust removal device with multiple cleaning units according to claim 9, characterized in that, When correcting the adjustment magnitude using a collaborative correction strategy to obtain the final adjustment magnitude, the following steps are included: The historical main cleaning effect parameters are analyzed and normalized to obtain historical cleaning effect feature information. The dust removal parameters of the dust removal unit are analyzed and normalized to obtain dust removal intensity feature information. Based on the historical cleaning effect characteristics and dust removal intensity characteristics, a synergistic influence factor is constructed, and the adjustment range is weighted and corrected according to the synergistic influence factor to obtain the preliminary correction adjustment range; The initial correction adjustment range is mapped to the corresponding cleaning intensity parameter, and the cleaning intensity parameter is compared with the preset cleaning optimization constraints. When the cleaning intensity parameter exceeds the cleaning optimization constraint, the initial adjustment range is limited; when the cleaning intensity parameter meets the cleaning optimization constraint, the initial adjustment range is corrected to obtain the final adjustment range.

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