Self-adaptive cleaning control method and system of tobacco stem washing machine based on spatial distribution detection of water quality turbidity

Abstract

The application discloses a kind of based on water quality turbidity spatial distribution detection's self-adapting cleaning control method and system of washing machine, mainly include: multiple turbidity sensors are set along the direction of conveying scraper at intervals, and the turbidity data of water quality of each detection point is collected in real time;According to the turbidity value of each point, the turbidity distribution curve along the direction of conveying is constructed and the position of turbidity peak value is identified;The distance L between the peak position and the outlet end of washing machine is calculated;L is compared with the first threshold L1, second threshold L2 of pre-set: if L < L1, it is determined that cleaning is insufficient state, then the ultrasonic power and cleaning water flow rate are increased, and the scraper speed is reduced;If L > L2, it is determined that cleaning is excessive state, then the ultrasonic power and cleaning water flow rate are reduced, and the scraper speed is increased;If L1 ≤ L ≤ L2, the current parameters are maintained;The above steps are executed cyclically to form closed-loop control.The application quantitatively judges the cleaning process by tracking the spatial position of turbidity peak along the direction of conveying, realizes the collaborative control of ultrasonic power, water flow rate and scraper speed based on real-time feedback of cleaning state, solves the problem that single-point turbidity detection cannot reflect the cleaning process in the prior art, and the parameter adjustment depends on artificial experience and has poor collaboration, significantly improves the automation level and operation stability of washing machine.

Description

Technical Field

[0001] This invention relates to the field of automatic control of tobacco processing equipment, and in particular to an adaptive cleaning control method and system for a tobacco stem washing machine based on spatial distribution detection of water turbidity, which is applicable to the automated control of the tobacco stem pretreatment process in a tobacco processing production line. Background Technology

[0002] In the tobacco stem processing process, the stem washing machine is the first piece of equipment in the pretreatment process of tobacco stems. Its main functions include: heating and humidifying the tobacco stems to increase the moisture content of the tobacco stems by about 15% to 20%; removing stones, mud, stem fragments and metal impurities from the tobacco stems; improving the softness of the tobacco stems and reducing breakage in subsequent processing.

[0003] Existing tobacco stem washing machines typically achieve the cleaning effect through three adjustment and control methods: the conveyor scraper controls the soaking time of the tobacco stems in the washing machine; the ultrasonic device generates a cavitation effect in the water through high-frequency vibration, which removes the dirt attached to the surface of the tobacco stems; and the cleaning water flow carries away the removed contaminants and prevents secondary adhesion.

[0004] However, the control logic of existing stem washing machines has the following technical defects:

[0005] Firstly, the settings for ultrasonic power, cleaning water flow rate, and conveyor scraper speed rely heavily on the operator's experience and judgment. When the variety, origin, or impurity content of the tobacco stem raw materials changes, the parameters cannot be adjusted in a timely manner, leading to large fluctuations in the cleaning effect. Existing technologies include solutions that use single-point turbidity sensors to detect water quality. For example, an industry-proposed water quality control method for tobacco stem washing machines collects real-time measurements of the water quality in the washing machine's tank to determine if the turbidity exceeds the standard value. If it does, the drain and inlet valves are controlled to replace the water. However, this type of solution only reflects the overall pollution level of the water in the tank and cannot reflect the progress of the cleaning process along the conveying direction. Essentially, it remains a post-event judgment rather than process monitoring.

[0006] Secondly, existing technologies cannot quantify the real-time progress of tobacco stem and dirt removal during the cleaning process. Operators can only make post-process judgments based on the final output results, and cannot adjust parameters according to the dynamic information of water quality changes along the cleaning process, resulting in wasted energy or incomplete cleaning. Single-point turbidity detection can only provide a general judgment of "water quality," and cannot answer the crucial question of the extent to which the cleaning has progressed.

[0007] Third, ultrasonic power, water flow rate, and scraper speed are interrelated and jointly determine the final cleaning effect. For example, excessive scraper speed may lead to insufficient soaking time, which cannot be compensated for even by increasing ultrasonic power; conversely, excessive scraper speed may cause over-cleaning and reduced production capacity. Current technology lacks an intelligent method that can coordinately control these three parameters based on a unified state judgment.

[0008] Therefore, there is an urgent need for an intelligent control method that can monitor the progress of the cleaning process in real time and dynamically coordinate and adjust multiple parameters based on the monitoring data, so as to improve the automation level and operational stability of the stem washing machine. Summary of the Invention

[0009] In view of the above, the present invention aims to provide an intelligent control method and system for a stem washing machine, which dynamically and collaboratively adjusts the ultrasonic power, cleaning water flow rate and scraper speed by detecting the spatial distribution of water turbidity along the conveying direction, thereby solving the problems of parameter adjustment lag, lack of process feedback and poor coordination in the prior art.

[0010] The technical solution adopted in this invention is as follows:

[0011] This invention provides an adaptive cleaning control method for a stem washing machine based on the spatial distribution detection of water turbidity, comprising the following steps:

[0012] Step 1: Install multiple turbidity detection instruments inside the stem washing machine along the direction of the conveyor scraper to collect the turbidity values ​​of the water at each detection location in real time, forming a turbidity detection data sequence.

[0013] Step 2: The control system filters the acquired turbidity signal to remove abnormal detection values ​​caused by periodic obstruction of the conveyor scraper or water flow fluctuations. Because the conveyor scraper periodically obstructs the sensor's optical path during its movement, causing instantaneous signal changes, these must be removed using a filtering algorithm to ensure the accuracy of subsequent analysis.

[0014] Step 3: Based on the filtered turbidity data from each detection point, construct a turbidity distribution curve along the transport direction, with the detection location as the x-axis and the turbidity value as the y-axis. A continuous curve can be obtained using linear interpolation or spline interpolation methods.

[0015] Step 4: Identify the maximum turbidity value and its corresponding detection location in the turbidity distribution by comparing the turbidity values ​​at each detection point or by fitting the turbidity curve. Specifically, a direct comparison method can be used to obtain the sensor location corresponding to the maximum value, or a quadratic parabolic fitting can be performed on multiple points near the peak to obtain a more accurate peak location.

[0016] Step 5: Calculate the distance L between the maximum turbidity detection point and the outlet of the stem washing machine.

[0017] Step 6: Preset the first threshold L1 and the second threshold L2, where L1 < L2, and L1 and L2 are calibrated by experimental data according to process requirements.

[0018] Step 7: Compare the calculated distance L with L1 and L2:

[0019] If L < L1, the cleaning intensity is deemed insufficient, indicating that the dirt-concentrated stripping area is close to the outlet. Therefore, the ultrasonic power and cleaning water flow rate should be increased, and the conveying scraper speed should be reduced.

[0020] If L > L2, the cleaning intensity is too high, indicating that a large amount of dirt is removed near the inlet. In this case, reduce the ultrasonic power and the cleaning water flow rate, and increase the conveyor scraper speed.

[0021] If L1≤L≤L2, it indicates that the cleaning status is good, and the current parameters should be maintained.

[0022] Step 8: Repeat steps 1 to 7 according to the set sampling period to form a closed-loop control.

[0023] The principle behind the above control method is as follows: As the tobacco stems move along the conveying direction in the washing machine, dirt is gradually stripped off and enters the water, causing the turbidity of the water to increase along the way and reach a peak at a certain point. Subsequently, it decreases due to water dilution and pollutant discharge. The position of the turbidity peak directly reflects the cleaning progress—a peak closer to the outlet (smaller L) indicates insufficient cleaning, with dirt only being stripped at the end of the journey; a peak closer to the inlet (larger L) indicates over-cleaning, with a large amount of dirt being stripped off in the initial stage. Therefore, by tracking the position of the turbidity peak, the current cleaning status can be accurately determined, and the three core parameters can be adjusted accordingly.

[0024] Furthermore, the present invention also provides an adaptive cleaning control system for a stem washing machine based on spatial distribution detection of water turbidity, which implements the above method, comprising:

[0025] Turbidity detection unit: This unit comprises multiple photoelectric through-beam turbidity sensors evenly installed on the inner walls of both sides of the tobacco stem washing machine along the direction of the conveyor scraper's movement. The installation position must ensure that the detection optical path is below the conveyor belt on the lower side of the scraper and above the tobacco stem material conveying path, so that the detection target is only the water body and not the material or the scraper. This unit is used to collect analog turbidity signals of the water quality at various points along the line in real time.

[0026] Ultrasonic generating unit: includes multiple ultrasonic transducers arranged along the bottom of the tobacco stem washing machine and parallel to the material conveying direction, used to generate high-frequency ultrasonic waves, which use the cavitation effect to generate tiny bubbles to peel off dirt from the surface of the tobacco stems.

[0027] Cleaning water circulation regulating unit: includes a circulating water pump and a flow regulating valve connected thereto, used to regulate the flow rate of cleaning water inside the stem washing machine to remove the detached dirt and prevent secondary adhesion.

[0028] Conveying drive unit: includes a variable frequency drive motor connected to the conveying scraper drive, used to adjust the running speed of the scraper, thereby controlling the soaking time of the tobacco stems in the stem washing machine.

[0029] The central control unit is electrically connected to the turbidity detection unit, the ultrasonic generator unit, the cleaning water circulation regulating unit, and the conveying drive unit, respectively. The central control unit is configured to execute the aforementioned control methods.

[0030] Preferably, the location of the turbidity peak is determined by: performing curve fitting on the values ​​of multiple detection points along the line to obtain a turbidity variation curve along the line, and taking the location corresponding to the highest point of the curve; or directly comparing the real-time values ​​of each point and taking the sensor installation location corresponding to the maximum value.

[0031] Preferably, the adjustment of ultrasonic power and cleaning water flow rate is performed using a preset step adjustment amount, which is a fixed percentage ranging from 5% to 20%. The specific value is calibrated by the system based on historical working condition data or set by the engineer on site.

[0032] Preferably, the adjustment range of the conveying scraper speed is related to the adjustment amount of the ultrasonic power to ensure the matching of cleaning intensity and cleaning time and avoid parameter conflicts: when the power is increased, the speed is reduced to prolong the cleaning time, and when the power is decreased, the speed is increased to shorten the cleaning time.

[0033] Preferably, the photoelectric through-beam turbidity sensor outputs a 4-20mA analog signal based on the light transmittance of the water body; the higher the turbidity, the larger the analog signal value. After receiving the signal, the central control unit executes a median filtering algorithm, continuously collecting multiple data points from each sensor, removing the maximum and minimum values, and taking the average value as the effective value, thus eliminating instantaneous abnormally high values ​​caused by the periodic obstruction of the scraper.

[0034] Preferably, the ultrasonic transducers are arranged at a density of 1 to 2 per meter to ensure uniform coverage of ultrasonic energy within the cleaning area.

[0035] Preferably, the method for determining the first threshold L1 and the second threshold L2 is as follows: through process experiments, data on the peak turbidity position when the optimal cleaning effect is achieved under different raw materials and different working conditions are collected, and the data are statistically analyzed to determine the threshold L2. As an example, L1 can be set to 1 / 4 of the total effective cleaning length of the stem washing machine, and L2 can be set to 3 / 4 of the total effective cleaning length of the stem washing machine.

[0036] Compared with existing technologies, the main design concept of this invention lies in using spatial line distribution detection instead of traditional single-point detection. This acquires spatial state information of the cleaning process; specifically, by tracking the position of the turbidity peak along the conveying direction, it can intuitively and accurately determine whether the cleaning is thorough and to what extent it has progressed, avoiding the drawback of a single turbidity value failing to reflect the cleaning process. This invention links and controls three core parameters: ultrasonic power, water flow rate, and scraper speed. Control decisions are based on the same state judgment result, ensuring consistent adjustment directions for the three parameters: increasing power and flow rate while decreasing speed during enhanced cleaning, and decreasing power and flow rate while increasing speed during degraded cleaning, achieving true synergistic optimization and avoiding parameter interference. Furthermore, the system can automatically adapt to different batches, origins, and impurity levels of tobacco stem raw materials, requiring no frequent manual intervention, significantly reducing the labor intensity of operators and improving the intelligence level and operational stability of the equipment. By avoiding over-cleaning, it effectively reduces the ineffective energy consumption of the ultrasonic generator and circulating water pump; simultaneously, it avoids rework waste caused by under-cleaning, ensuring optimal cleaning efficiency and product quality. Attached Figure Description

[0037] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described below with reference to the accompanying drawings, wherein:

[0038] Figure 1 This is a schematic diagram of the adaptive cleaning control system for a stem washing machine based on spatial distribution detection of water turbidity provided in an embodiment of the present invention;

[0039] Figure 2 A flowchart illustrating the adaptive cleaning control method for a stem washing machine based on spatial distribution detection of water turbidity, provided in an embodiment of the present invention.

[0040] Figure 3 This is a schematic diagram of turbidity distribution curves under different cleaning conditions in an embodiment of the present invention.

[0041] Explanation of reference numerals in the attached figures

[0042] 1—Tobacco stem washing machine body; 2—Scraper conveyor; 3—Tobacco stem; 4—Photoelectric through-beam turbidity sensor; 5—Ultrasonic transducer; 6—Circulating pump; 7—Water pump frequency converter; 8—Conveyor frequency converter; 9—Central control unit. Detailed Implementation

[0043] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0044] In conjunction with the above-mentioned invention, such as Figure 1 As shown, this embodiment provides an adaptive cleaning control system for a stem washing machine based on the spatial distribution detection of water turbidity. The stem washing machine body 1 is equipped with a scraper conveyor 2 for forced conveying of tobacco stems 3. In the water area below the scraper and above the material, n photoelectric through-beam turbidity sensors 4 are evenly installed along the conveying direction. The sensor transmitter and receiver are fixed to the inner walls on both sides of the stem washing machine, ensuring the detection light path passes through the water and is not blocked by the material or the scraper. The number of sensors n is determined based on the effective cleaning length of the stem washing machine. In this embodiment, the effective cleaning length is 4 meters, and eight sensors are installed at a density of two sensors per meter, with a sensor spacing of 0.5 meters.

[0045] m ultrasonic transducers 5 are arranged along the conveying direction at the bottom of the stem washing machine, with a density of one transducer per meter. In this embodiment, three transducers are installed to ensure uniform coverage of ultrasonic energy within the washing area. The operating frequency range of the ultrasonic transducers is 20kHz to 60kHz.

[0046] The cleaning water is driven by the circulating pump 6, and the flow rate is controlled by the pump frequency converter 7, forming a cleaning water circulation regulation unit; the conveying scraper is driven by the conveyor frequency converter 8 motor, forming a conveying drive unit.

[0047] The central control unit 9 (such as a PLC or industrial controller) is electrically connected to each photoelectric through-beam turbidity sensor 4, ultrasonic transducer 5, water pump frequency converter 7, and conveyor frequency converter 8, respectively, and is used to receive turbidity signals and output control commands.

[0048] Combined Figure 2 As shown, this embodiment provides an adaptive cleaning control method for a stem washing machine based on the spatial distribution detection of water turbidity, applied to the system described in Embodiment 1, and includes the following steps:

[0049] Step S1: The central control unit reads the 4-20mA analog signals from 8 turbidity sensors with a sampling period of 1 second to obtain the turbidity data sequence T[i] (i=1~8, i=1 corresponds to the inlet side, i=8 corresponds to the outlet side); the higher the turbidity, the larger the analog value (i.e. the larger the current value).

[0050] Step S2: Since the periodic movement of the conveying scraper may block the sensor's optical path, the signal may suddenly change to full scale (20mA). Such abnormal values ​​cannot reflect the true water turbidity. The central control unit adopts a median filtering algorithm: five data points are continuously collected from each sensor, the maximum and minimum values ​​are removed, and the average value is taken as the effective value, thereby eliminating abnormal detection values.

[0051] Step S3: Based on the 8 filtered turbidity data, construct a turbidity distribution curve along the conveying direction with the detection location as the abscissa and the turbidity value as the ordinate; a continuous curve can be obtained by linear interpolation or spline interpolation methods.

[0052] Step S4: Find the maximum value T by comparing the turbidity values ​​at each point. max and its corresponding sensor index i max To further improve accuracy, T[i] can be adjusted. max-1 ]、T[i max ]、T[i max+1 A quadratic parabola is fitted to the three points, and the vertex of the fitted curve is taken as the precise turbidity peak position.

[0053] Step S5: Calculate the distance L between the peak position and the outlet of the stem washing machine. Let the sensor spacing be d (d = 0.5 meters in this embodiment). If the direct comparison method is used, then L = (n - i) max If a fitting method is used to obtain the precise position, then L = (n × d - x) × d; peak ), where x peak This represents the distance from the peak position to the entrance.

[0054] Step S6: Based on the statistical analysis of the process experiment data, set the first threshold L1 = 0.25 × L total The second threshold L2 = 0.75 × L total L total The total effective cleaning length of the stem washing machine (in this embodiment, the length of the water body from the inlet to the outlet is 6 meters) is calculated as follows: L1 = 1.5 meters, L2 = 4.5 meters.

[0055] Step S7: Compare the calculated distance L with L1 and L2:

[0056] If L < 1.5 meters: it is judged as an under-cleaning state, indicating that the dirt-concentrated stripping area is close to the outlet and the cleaning capacity is insufficient. The central control unit outputs the following command: increase the ultrasonic power by 10%, increase the water flow rate by 10%, and reduce the scraper speed by 5%.

[0057] If L>4.5 meters: it is judged as an over-cleaning state, indicating that a large amount of dirt is removed at the inlet and the cleaning capacity is excessive. Then the following instructions are output: reduce the ultrasonic power by 10%, reduce the water flow rate by 10%, and increase the scraper speed by 5%.

[0058] If 1.5m ≤ L ≤ 4.5m: This is considered an ideal cleaning state, and all current operating parameters are maintained.

[0059] The adjustment steps of ultrasonic power, water flow rate, and scraper speed can be pre-calibrated according to actual working conditions. In this embodiment, the power and water flow rate steps are 10%, the scraper speed steps are 5%, and the scraper speed adjustment direction is opposite to that of power and water flow rate (the scraper speed decreases when the power and water flow rate increase, and vice versa), so as to ensure that the cleaning intensity matches the cleaning time.

[0060] Step S8: After a 10-second delay, return to step S1 and repeat the above steps to form a dynamic closed-loop control, enabling the system to adaptively track changes in raw material type, impurity content, and other conditions.

[0061] Combination Figure 3 The diagram shows the turbidity distribution curves under three typical cleaning conditions: Curve A corresponds to the case of L < L1 (under-cleaning), with the peak value near the outlet, and the system will execute an enhanced cleaning command (increase power and flow rate, and decrease scraper speed); Curve B corresponds to the case of L1≤L≤L2 (ideal cleaning), with the peak value located in the middle, and the system maintains the parameters unchanged; Curve C corresponds to the case of L > L2 (over-cleaning), with the peak value near the inlet, and the system will execute a weakened cleaning command (decrease power and flow rate, and increase scraper speed).

[0062] Through actual operation verification, the present invention can automatically adapt to the changes in water absorption characteristics and impurity content of different batches of tobacco stem raw materials, reducing the standard deviation of cleanliness of clean tobacco stems from ±15% under manual operation to within ±5%, while reducing the cumulative running time of ultrasonic generator and circulation pump by about 12%, achieving significant energy-saving effect.

[0063] In this invention, when directional terms are mentioned, they are relative concepts based on the embodiments. Furthermore, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent the existence of A alone, A and B simultaneously, or B alone. A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects have an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, and c can represent: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single or multiple.

[0064] The above description of the structure, features, and effects of the present invention is based on the embodiments shown in the figures. However, the above are only preferred embodiments of the present invention. It should be noted that the technical features involved in the above embodiments and their preferred methods can be reasonably combined and matched by those skilled in the art to form a variety of equivalent solutions without departing from or changing the design concept and technical effects of the present invention. Therefore, the present invention is not limited to the scope of implementation shown in the figures. Any changes made in accordance with the concept of the present invention, or modifications to equivalent embodiments, that do not exceed the spirit covered by the specification and figures, should be within the protection scope of the present invention.

Claims

1. An adaptive cleaning control method for a stem washing machine based on spatial distribution detection of water turbidity, characterized in that, include: Step 1: Set N turbidity detection points at intervals along the direction of travel of the conveyor scraper inside the stem washing machine, and collect the water turbidity value of each detection point in real time to form a turbidity detection data sequence; Step 2: Filter the collected turbidity signal to remove abnormal detection values ​​caused by obstruction of the conveyor scraper or fluctuations in water flow; Step 3: Based on the turbidity data of each detection point after filtering, construct a turbidity distribution curve along the transport direction; Step 4: Identify the turbidity peaks in the turbidity distribution curve and their corresponding detection locations; Step 5: Calculate the distance L between the turbidity peak position and the outlet of the stem washing machine; Step 6: Compare the distance L with a preset first threshold L1 and a second threshold L2, where L1 < L2; Step 7: Perform coordinated control based on the comparison results: When L < L1, increase the ultrasonic power and cleaning water flow rate, and decrease the conveyor scraper speed; when L > L2, decrease the ultrasonic power and cleaning water flow rate, and increase the conveyor scraper speed; when L1 ≤ L ≤ L2, maintain the current operating parameters. Step 8: Repeat steps 1 to 7 according to the set sampling period to form a closed-loop control.

2. The adaptive cleaning control method for a stem washing machine based on spatial distribution detection of water turbidity according to claim 1, characterized in that, The method for identifying the turbidity peak position in step four is as follows: curve fitting is performed on the turbidity values ​​of each detection point to obtain the turbidity variation curve along the path, and the position corresponding to the highest point of the curve is taken as the turbidity peak position; or the real-time turbidity values ​​of each detection point are directly compared, and the sensor installation position corresponding to the maximum value is taken as the turbidity peak position.

3. The adaptive cleaning control method for a stem washing machine based on spatial distribution detection of water turbidity according to claim 1, characterized in that, In step seven, the ultrasonic power and the cleaning water flow rate are adjusted by a preset step adjustment amount, which is a fixed percentage ranging from 5% to 20%.

4. The adaptive cleaning control method for a stem washing machine based on spatial distribution detection of water turbidity according to claim 3, characterized in that, The adjustment range of the conveying scraper speed is related to the adjustment amount of the ultrasonic power, and the adjustment direction is opposite to the adjustment direction of the ultrasonic power, so as to ensure the matching of cleaning intensity and cleaning time.

5. The adaptive cleaning control method for a stem washing machine based on spatial distribution detection of water turbidity according to claim 1, characterized in that, The first threshold L1 is 1 / 4 of the total effective cleaning length of the stem washing machine, and the second threshold L2 is 3 / 4 of the total effective cleaning length of the stem washing machine.

6. An adaptive cleaning control system for a stem washing machine based on spatial distribution detection of water turbidity, implementing the adaptive cleaning control method for a stem washing machine based on spatial distribution detection of water turbidity as described in any one of claims 1 to 5, characterized in that, include: The turbidity detection unit includes multiple photoelectric through-beam turbidity sensors evenly installed on the inner walls of both sides of the stalk washing machine along the direction of the conveyor scraper's travel, used to collect analog turbidity signals of water quality at various points along the line in real time. The ultrasonic generating unit includes multiple ultrasonic transducers arranged along the bottom of the tobacco stem washing machine and parallel to the material conveying direction, for generating ultrasonic waves to remove dirt from the surface of the tobacco stems. The cleaning water circulation regulating unit includes a circulating water pump and a flow regulating valve connected thereto, which is used to regulate the flow rate of the cleaning water inside the stem washing machine. The conveying drive unit includes a variable frequency drive motor that is connected to the conveying scraper drive to adjust the running speed of the scraper; The central control unit is electrically connected to the turbidity detection unit, the ultrasonic generation unit, the cleaning water circulation adjustment unit, and the conveying drive unit, respectively. The central control unit is configured to execute an adaptive cleaning control method for the stem washing machine based on the spatial distribution detection of water turbidity.

7. The adaptive cleaning control system for a stem washing machine based on spatial distribution detection of water turbidity according to claim 6, characterized in that, The installation position of the photoelectric through-beam turbidity sensor meets the following requirements: the detection optical path is located below the conveyor belt on the lower side of the conveyor scraper and above the tobacco stem material conveying path, so as to ensure that the detection target is only water. The sensor outputs a 4-20mA analog signal based on the light transmittance of the water body; the higher the turbidity, the larger the analog signal value.

8. The adaptive cleaning control system for a stem washing machine based on spatial distribution detection of water turbidity according to claim 6, characterized in that, The ultrasonic transducers are arranged at a density of 1 to 2 per meter to ensure uniform coverage of ultrasonic energy within the cleaning area.

9. The adaptive cleaning control system for a stem washing machine based on spatial distribution detection of water turbidity according to claim 6, characterized in that, After receiving the turbidity signal, the central control unit executes a median filtering algorithm, continuously collects multiple data from each sensor, removes the maximum and minimum values, and takes the average value as the effective value to eliminate instantaneous abnormally high values ​​caused by the periodic obstruction of the scraper.

10. The adaptive cleaning control system for a stem washing machine based on spatial distribution detection of water turbidity according to claim 6, characterized in that, The method for determining the first threshold L1 and the second threshold L2 is as follows: through process experiments, data on the peak turbidity position when the optimal cleaning effect is achieved under different raw materials and different working conditions are collected, and the data are statistically analyzed to determine the threshold L2.

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