Anti-blocking structure of a carding machine and control method thereof

Abstract

The present application relates to the field of textile machinery, in particular to a kind of anti-blocking structure of carding machine and its control method, anti-blocking structure, comprising: collection box, detection component, blowing component and impurity removal channel;The control method comprises: obtaining the measurement value collected by multiple infrared distance sensors, and processing measurement value to obtain filter signal;Set trigger condition, if filter signal reaches trigger condition, then control blowing component switches air volume mode;The present application can monitor the accumulation condition of impurities in real time by arranging infrared distance sensor array in collection box, accurately judge whether there is risk of blockage;Through the intelligent air volume mode switching of control terminal, the working state of blowing component can be automatically adjusted according to detection signal, so as to avoid the delay and resource waste of traditional cleaning method, improve the response speed and energy utilization efficiency of system.

Description

Technical Field

[0001] This invention relates to the field of textile machinery, specifically to an anti-clogging structure and control method for a carding machine. Background Technology

[0002] Carding machines are key pieces of equipment widely used in the textile industry. Their main function is to comb fibers, organizing them into a parallel and straight state while removing impurities and short fibers, thus separating the raw fiber material into single fibers and eliminating impurities to ensure the smoothness of the textile process. However, because raw fiber materials often contain many impurities or fiber entanglements, carding machines are prone to impurity accumulation or blockage during operation. This not only affects the normal operation of the equipment but may also interfere with subsequent textile processes, reducing overall production efficiency.

[0003] Traditional anti-clogging technologies mainly rely on optimizing the mechanical structure, such as increasing the size of the impurity channel or alleviating clogging problems in carding machines through physical separation and mechanical cleaning. However, these methods still have shortcomings such as incomplete cleaning and delayed response when dealing with high-intensity or continuous operation scenarios. In addition, for textile production lines with a high degree of automation, traditional manual intervention cleaning methods are inefficient and not conducive to the high-efficiency production requirements of modern textile industry. Summary of the Invention

[0004] The technical problem to be solved by this invention is the blockage caused by the accumulation of impurities or fiber entanglement during the operation of a carding machine. The purpose is to provide an anti-blockage structure and control method for a carding machine, which realizes real-time monitoring and intelligent control of air volume mode through infrared ranging sensor, quickly responds to the blockage situation and effectively removes impurities.

[0005] This invention is achieved through the following technical solution:

[0006] An anti-clogging structure for a carding machine includes: a collection box, a detection component, a blowing component, and a waste removal channel. The collection box is located directly below the carding wheel of the carding machine. The detection component and the blowing component are both located inside the collection box. A waste removal window communicating with the waste removal channel is provided on the side of the collection box. The air outlet direction of the blowing component is towards the waste removal window.

[0007] Both the detection component and the blowing component are electrically connected to the control terminal.

[0008] Specifically, the waste discharge window is set on the first side of the collection box and connected to the third side of the collection box, the second side of the collection box is set opposite to the first side of the collection box, and the third side of the collection box is set opposite to the fourth side of the collection box.

[0009] The detection component is disposed on the fourth side of the collection box, and the blowing component is disposed on the second side and the fourth side of the collection box.

[0010] Specifically, the detection component includes multiple infrared ranging sensors, which are arranged in an array on the fourth side of the collection box;

[0011] The blowing assembly includes multiple nozzles and a positive pressure device. The multiple nozzles are connected to the air outlet of the positive pressure device through air pipes. The multiple nozzles are arranged in an array on the fourth side and the third side of the collection box. The central axis of the multiple nozzles all points to the center point of the debris discharge window.

[0012] Furthermore, the blowing assembly also includes a plurality of enhanced nozzles, which are disposed on the second side of the collection box and opposite to the waste discharge window.

[0013] A control method for an anti-clogging structure of a carding machine, operating within a control terminal of the anti-clogging structure of the carding machine as described above, the control method comprising:

[0014] Acquire measurement values ​​from multiple infrared ranging sensors and process the measurement values ​​to obtain a filtered signal;

[0015] Set trigger conditions; if the filtered signal reaches the trigger conditions, control the blower assembly to switch airflow modes.

[0016] Specifically, methods for obtaining measurement values ​​from multiple infrared ranging sensors include:

[0017] Determine the i-th infrared ranging sensor IR i Emission intensity at the kth global sampling

[0018] Set the global sampling period to T cycle Within a global sampling period, M rounds of sampling are performed. In the m-th round of sampling, some infrared ranging sensors are activated to start infrared emission, and the set of activated sensor indices Φ is obtained. m m = 1, 2, ..., M N is the number of infrared ranging sensors;

[0019] Perform R rapid reads on all active sensors to obtain sensor readings. Where, i∈Φ m r = 1, 2, ..., R, t k =k·T cycle Sampling time;

[0020] Obtain the preliminary measurement values ​​of the i-th activated infrared ranging sensor in the k-th global sampling and the m-th round of sampling.

[0021] Obtain the raw measurement value of the i-th activated infrared ranging sensor during the k-th global sampling. in, Let be the set of rounds in which the i-th sensor is activated during the k-th global sampling period.

[0022] Optionally, determine the emission intensity The methods include:

[0023] Set the i-th infrared ranging sensor IR i initial emission intensity

[0024] Iterate based on the initial emission intensity until the (k-1)th global sample's original measurement value Z is obtained. i (t k -1);

[0025] Set the upper limit of the original measurement value X max and the lower limit of the original measurement value X min ;

[0026] If Z i (t k-1 )≤X min Then let If Z i (t k-1 )≥X max Then let If X min <Z i (t k-1 ) < X max Then let Where ΔI is the emission intensity adjustment range.

[0027] Specifically, methods for processing measured values ​​to obtain filtered signals include:

[0028] Obtain M preliminary measurement values ​​of the i-th sensor in the k-th global sampling.

[0029] For M preliminary measurement values Perform extreme value comparison; when a preliminary measurement value exceeds the preset upper and lower limit thresholds or is an outlier, it is identified as an outlier and removed to obtain a clean measurement value;

[0030] The pure measurement values ​​are averaged over several adjacent sampling periods using a sliding window of fixed length to obtain short-term smooth values;

[0031] Compare the short-term smoothing value with t k-1 The long-term smoothed values ​​at each time point are weighted and fused according to a preset smoothing coefficient to generate new long-term smoothed values ​​in a recursive manner, and the new long-term smoothed values ​​are used as the filtered signal.

[0032] Specifically, the triggering conditions include high air volume triggering conditions and low air volume triggering conditions;

[0033] The system independently determines the triggering condition of each infrared ranging sensor. If the filtered signal of any infrared ranging sensor reaches the high airflow triggering condition, the air blowing assembly is controlled to operate in high airflow mode. If the filtered signals of all infrared ranging sensors reach the low airflow triggering condition, the air blowing assembly is controlled to operate in low airflow mode.

[0034] Optionally, the method of controlling the switching of airflow mode via an infrared ranging sensor includes:

[0035] Set a warning threshold T for each infrared ranging sensor warn，i and the over-limit threshold T crit，i T crit，i >T warn，i Set the entry threshold S in，i and exit threshold S out,i S out,i in,i ;

[0036] Let the initial integral score S i (t0) = 0, which means the system is set to start in low airflow mode by default.

[0037] Obtain the filtered signal F of the kth sampling period i (t k );

[0038] Calculate the instantaneous excess value H i (t k )=max{0,F i (t k )-T warn，i}; Calculate the out-of-bounds factor

[0039] Calculate the integral score S i (t k )=α i ·S i (t k-1 )+β i ·H i (t k )+γ i ·δ i (t k ), where α i ∈(0,1) is a given attenuation coefficient, β​i and γ i These are the weighting coefficients;

[0040] Iteratively calculate the integral score S for the (k+1)th sampling period. i (t k+1 );

[0041] If the integral score for n consecutive sampling periods is greater than S in，i Then switch to high airflow mode;

[0042] If the integral score for n consecutive sampling periods is less than S out，i If so, switch to low fan speed mode.

[0043] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0044] The anti-clogging structure proposed in this invention includes a collection box, a detection component, a blowing component, and a debris removal channel. The detection component monitors the accumulation of impurities in the collection box in real time through multiple infrared ranging sensors. The control terminal controls the airflow mode switching of the blowing component based on the signals collected by the detection component, thereby achieving dynamic debris removal.

[0045] This invention, by arranging an infrared ranging sensor array in the collection box, can monitor the accumulation of impurities in real time and accurately determine whether there is a risk of blockage. By controlling the intelligent airflow mode switching of the control terminal, the working state of the blowing component can be automatically adjusted according to the detection signal, thereby avoiding the delay and resource waste of traditional cleaning methods and improving the system's response speed and energy utilization efficiency. Attached Figure Description

[0046] The accompanying drawings illustrate exemplary embodiments of the present invention and, together with the description thereof, serve to explain the principles of the invention. These drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, but do not constitute a limitation on the embodiments of the present invention.

[0047] Figure 1 This is a front view of an anti-clogging structure for a carding machine according to the present invention.

[0048] Figure 2 This is a top view of an anti-clogging structure for a carding machine according to the present invention.

[0049] Figure 3 This is a flowchart illustrating a control method for an anti-clogging structure of a carding machine according to the present invention.

[0050] Figure 4 This is a flowchart illustrating a method for switching modes of a single infrared ranging sensor according to the present invention.

[0051] Reference numerals: 1-Collection box, 2-Blowering assembly, 3-Detection assembly, 4-Impact removal channel. Detailed Implementation

[0052] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0053] It should also be noted that, for ease of description, only the parts relevant to the present invention are shown in the accompanying drawings.

[0054] Where there is no conflict, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0055] Example 1

[0056] like Figure 1 and Figure 2 As shown, this embodiment provides an anti-clogging structure for a carding machine, including: a collection box 1, a detection component 3, a blowing component 2, and a waste removal channel 4. The collection box 1 is located directly below the carding wheel of the carding machine. The detection component 3 and the blowing component 2 are both located inside the collection box 1. A waste removal window communicating with the waste removal channel 4 is provided on the side of the collection box 1. The air outlet direction of the blowing component 2 is towards the waste removal window.

[0057] Both the detection component 3 and the blowing component 2 are electrically connected to the control terminal. The control terminal adjusts the operating mode of the blowing component 2 based on the monitoring data from the detection component 3 to achieve intelligent impurity cleaning.

[0058] Collection box 1 is located below the carding wheel and is used to collect impurities removed from the fiber raw material. The size of the collection box can be designed according to the space at the bottom of the carding machine and the estimated amount of impurities; the height should ensure that it does not excessively occupy vertical space after the nozzles and sensors are installed. The bottom of the collection box can be appropriately made into a slope or a flat surface, depending on the way the impurities fall and accumulate and the discharge effect. To reduce the accumulation of impurities at corners, a suitable guide plate can be designed inside the collection box. The material is usually metal (such as stainless steel or galvanized steel plate) because it is wear-resistant and easy to clean; surface treatment can also be done according to anti-static requirements. Inspection / observation ports are provided at the top or side of the collection box for convenient manual cleaning and maintenance in regular or emergency situations.

[0059] The detection component 3 is installed inside the collection box 1 to monitor the accumulation of impurities in the collection box 1 in real time. The blowing component 2 is also installed inside the collection box 1, and uses airflow to remove impurities from the collection box 1 through the nozzles pointing the airflow direction towards the impurity discharge window.

[0060] The detection component 3 senses the accumulation of impurities in the collection box 1 in real time and transmits the signal to the control terminal. When the feedback signal from the detection component 3 indicates that there is an accumulation of impurities or a risk of blockage, the control terminal activates the blowing component 2, adjusts the airflow from the nozzles to concentrate the airflow towards the impurity discharge window, and quickly discharges the impurities to the impurity discharge channel 4.

[0061] The impurity discharge window is set on the first side of the collection box 1 and connected to the third side of the collection box 1. The second side of the collection box 1 is set opposite to the first side of the collection box 1, and the third side of the collection box 1 is set opposite to the fourth side of the collection box 1, forming a closed space to facilitate the centralized treatment of impurities.

[0062] The detection component 3 is located on the fourth side of the collection box 1, and the blowing component 2 is located on the second side and the fourth side of the collection box 1.

[0063] The detection component 3 includes multiple infrared ranging sensors arranged in an array on the fourth side of the collection box 1 to monitor the accumulation of impurities in real time. The infrared ranging sensors measure the distance between the impurities and the fourth side by emitting and receiving infrared signals. As impurities accumulate, the distance to the fourth side decreases, and the sensors can capture this change in real time and send data to the control terminal. This method allows for a simple and effective assessment of the accumulation of impurities within the collection box 1.

[0064] The blowing assembly 2 includes multiple nozzles and a positive pressure device. The multiple nozzles are connected to the air outlet of the positive pressure device through air pipes. The multiple nozzles are arranged in an array on the fourth side and the third side of the collection box 1. The central axis of the multiple nozzles all points to the center point of the waste discharge window.

[0065] The nozzles should be able to direct airflow from any location in the collection frame towards the waste removal window / pipe. While maintaining blowing efficiency, efforts should be made to reduce air consumption and avoid secondary dust interference with other parts of the carding machine. If the collection frame is long, nozzles can be staggered on the side or rear walls to ensure comprehensive coverage and prevent mutual interference between blowers.

[0066] Nozzles come in two forms: flat nozzles and small round nozzles. Flat nozzles (air knife type) can form a wider air curtain, suitable for blowing up large areas of loose fibers; small round nozzles have a greater concentrated impact force, but the coverage area is relatively small, requiring more nozzles or proper arrangement. The appropriate nozzle shape can be selected based on the air supply pressure and flow rate.

[0067] The blower assembly 2 in this embodiment includes two operating modes: a high airflow mode and a low airflow mode. The low airflow mode maintains a low pressure / flow rate (e.g., 1-2 bar or set as needed), while the high airflow mode generates a higher pressure (e.g., 4-6 bar or higher).

[0068] When the blower assembly 2 is running in low airflow mode, it slowly blows away the impurities, causing them to gradually move closer to the impurity discharge window. This slows down the movement of cotton scraps and impurities towards the discharge pipe, preventing them from accumulating too thickly in the center or corners of the collection area, while also avoiding unnecessary strong airflow interference.

[0069] When the detection component 3 detects that the accumulated amount of impurities has reached the threshold, the control terminal switches the blowing component 2 to the high air volume mode, and the concentrated airflow quickly discharges the impurities to the third side and finally discharges them through the impurity discharge window, ensuring that the collection box 1 remains unobstructed.

[0070] The blowing assembly 2 also includes multiple reinforcing nozzles, which are disposed on the second side of the collection box 1 and opposite to the impurity discharge window. Since the reinforcing nozzles are located on the side opposite to the impurity discharge window, their airflow direction is exactly the same as the opening direction of the impurity discharge window, thus providing a more direct and effective driving force. Therefore, additional airflow can be generated to further push the impurities that have been blown toward the impurity discharge window by other nozzles until they are completely entered into the impurity discharge pipe, completing the cleaning of impurities.

[0071] Example 2

[0072] like Figure 3 As shown, a control method for an anti-clogging structure of a carding machine is provided. Operating within a control terminal of this anti-clogging structure, the method aims to monitor impurity accumulation in real time using an infrared ranging sensor and intelligently switch the airflow mode of the blowing assembly based on the detection results, ensuring efficient impurity removal and reliable equipment operation. The core logic is based on the sensor signal's judgment of the accumulation situation, dynamically adjusting the working state of the blowing assembly. The control method includes:

[0073] The system acquires measurement values ​​from multiple infrared ranging sensors and processes these values ​​to obtain a filtered signal. These sensors are positioned at key locations within the collection box to collect real-time distance data between impurities and the sensors, providing raw measurement values ​​reflecting impurity accumulation. A filtering algorithm is then used to process the measurement values, eliminating noise or outliers caused by sensor errors or environmental factors, resulting in a stable filtered signal.

[0074] A trigger condition is set; if the filtered signal meets the trigger condition, the blower assembly is controlled to switch airflow modes. The trigger conditions include high airflow trigger conditions and low airflow trigger conditions.

[0075] Low airflow trigger condition: When the filter signal indicates that there is little impurity buildup, the system defaults to low airflow mode, gently guiding the impurities slowly to the impurity removal window. This mode reduces energy consumption and minimizes disturbance to the fiber raw materials.

[0076] High airflow trigger condition: When the filtered signal indicates that the accumulation of impurities has reached a certain threshold (for example, the measurement value of the infrared ranging sensor shows that the impurities are very close to the sensor), the system switches to high airflow mode and generates a strong airflow to quickly remove the impurities.

[0077] The system independently determines the triggering condition of each infrared ranging sensor. If the filtered signal of any infrared ranging sensor reaches the high airflow triggering condition (i.e., serious impurity accumulation in a certain area), the system controls the blowing assembly to work in high airflow mode to prioritize cleaning the accumulated area. If the filtered signals of all infrared ranging sensors reach the low airflow triggering condition, the system controls the blowing assembly to work in low airflow mode.

[0078] During normal operation, the system primarily operates in low-airflow mode to ensure energy-efficient operation. When a risk of blockage is detected, high-airflow mode quickly intervenes to powerfully remove impurities, ensuring the collection box remains unobstructed and preventing more serious blockages.

[0079] Example 3

[0080] like Figure 4 As shown, the method for obtaining measurement values ​​collected by multiple infrared ranging sensors includes:

[0081] Determine the i-th infrared ranging sensor IR i Emission intensity at the kth global sampling Emission intensity is the output power of the infrared signal. The initial emission intensity is usually set according to the default value, and may be dynamically adjusted according to the specific measurement conditions (such as ambient light interference, surface reflection characteristics of the measured object, etc.) to ensure that the reflected signal can be received, while avoiding interference caused by excessively strong signals.

[0082] Set the global sampling period to T cycle Within a global sampling period, M rounds of sampling are performed. In the m-th round of sampling, some infrared ranging sensors are activated to start infrared emission, and the set of activated sensor indices Φ is obtained. m m = 1, 2, ..., M N represents the number of infrared ranging sensors; the global sampling period is the time it takes for the system to complete the sampling operation of all sensors. In order to avoid interference caused by the possible cross-over of infrared signals from multiple sensors, some sensors are randomly activated in each round of sampling. The batch activation strategy can reduce the pressure on hardware resources and improve signal quality.

[0083] Perform R rapid reads on all active sensors to obtain sensor readings. Where, i∈Φ m r = 1, 2, ..., R, t k =k·T cycle Sampling time;

[0084] Obtain the preliminary measurement values ​​of the i-th activated infrared ranging sensor in the k-th global sampling and the m-th round of sampling. By taking multiple readings and averaging the results, the impact of noise from a single reading on the measurement results is reduced.

[0085] Obtain the raw measurement value of the i-th activated infrared ranging sensor during the k-th global sampling. in, Let be the set of rounds in which the i-th sensor is activated during the k-th global sampling period. By calculating the mean across rounds, random errors are further reduced.

[0086] Furthermore, dynamic adjustment of emission intensity can optimize signal strength based on environmental conditions and measurement results, enabling the sensor to obtain accurate measurement data under various operating conditions. This also avoids errors and interference caused by excessively weak or strong signals, providing dynamic adjustment of emission intensity. The methods include:

[0087] Set the i-th infrared ranging sensor IR i initial emission intensity The initial value is usually determined based on the sensor's hardware parameters or typical conditions in the application environment, such as selecting an appropriate intensity based on parameters like distance measurement range and ambient light interference.

[0088] First let k = 1, then based on Sampling is performed and Z is solved using the method described above. i (t1), determine its relationship with the upper limit of the original measurement value X. max and the lower limit of the original measurement value X min To obtain the size relationship

[0089] This process continues iteratively, based on the initial emission intensity, until the original measurement value Z of the (k-1)th global sample is obtained. i (t k-1 );

[0090] Set the upper limit of the original measurement value X max and the lower limit of the original measurement value X min The upper limit of the raw measurement value represents the safe threshold for the sensor's raw measurement value when the signal is too strong. Exceeding this value may indicate signal saturation or excessive interference. The lower limit of the raw measurement value represents the safe threshold when the signal is too weak. Below this value may lead to unreliable measurement results or signal loss.

[0091] If Z i (t k-1 )≤X minThis indicates insufficient signal strength, which may be due to a distant target or strong environmental interference. In this case, it is necessary to increase the transmission strength, which would require...

[0092] If Z i (t k-1 )≥X max This indicates that the signal strength is too high, which may lead to saturation or reflection interference. In this case, it is necessary to reduce the transmission strength, which means...

[0093] If X min <Z i (t k-1 ) < X max This indicates that the current signal strength is within a reasonable range and there is no need to adjust the transmission strength. Therefore, let...

[0094] ΔI is the emission intensity adjustment range, which is usually set to a fixed value based on the hardware response capability.

[0095] When the signal is too weak or too strong, the system adjusts the emission intensity to maintain the optimal signal strength within the detection range, ensuring measurement accuracy. The system can optimize the signal quality of the infrared sensor based on real-time feedback data, guaranteeing measurement accuracy and stability while improving the system's adaptability and energy efficiency.

[0096] Example 4

[0097] Methods for processing measured values ​​to obtain filtered signals include:

[0098] Obtain M preliminary measurement values ​​of the i-th sensor in the k-th global sampling.

[0099] For M preliminary measurement values Extreme value comparison is performed; when a preliminary measurement value exceeds the preset upper and lower thresholds or is an outlier, it is identified as an outlier and removed to obtain a clean measurement value; the upper and lower thresholds are the preset measurement ranges for each sensor in the system (e.g., the maximum and minimum values ​​within a certain distance range). If a preliminary measurement value exceeds the range, it is directly identified as an outlier. Outliers are identified using statistical methods such as standard deviation or mean deviation.

[0100] The pure measurement values ​​are averaged over several adjacent sampling periods using a sliding window of fixed length to obtain short-term smoothed values. Where W is the length of the sliding window, Z i (t j () represents the purity measurement value.

[0101] The short-term smoothing value S short (t k ) and t k-1Long-term smoothed value S at time t long (t k-1 The new long-term smoothed value, S, is generated by weighted fusion according to a preset smoothing coefficient in a recursive manner. long (t k )=αS long (t k-1 )+(1-α ) S short (t k ), where α is a smoothing coefficient used to control the dependence of the long-term smoothed value on historical data and the new long-term smoothed value is used as the filter signal.

[0102] Example 5

[0103] This embodiment achieves automatic switching between airflow modes (low and high airflow) through an integral scoring mechanism and dynamic analysis of the filtered signal. The method includes:

[0104] Set a warning threshold T for each infrared ranging sensor warn,i and the over-limit threshold T crit,i T crit,i >T warn,i Set the entry threshold S in,i and exit threshold S out，i ,S out，i <S in,i ;

[0105] The warning threshold indicates that the accumulation of impurities detected by the sensor is approaching a warning state; the over-limit threshold indicates that the accumulation of impurities has reached a serious level and it is necessary to quickly switch to the high airflow mode; the entry threshold is the lower limit of the integral score of the control system when switching to the high airflow mode; the exit threshold is the upper limit of the integral score of the control system when switching back to the low airflow mode.

[0106] Let the initial integral score S i (t0) = 0, which means the system is set to start in low airflow mode by default.

[0107] Obtain the filtered signal F of the kth sampling period i (t k );

[0108] Calculate the instantaneous excess value H i (t k )=max{0,F i (t k )-T warn,i The instantaneous over-limit value is used to assess the degree to which the filtered signal exceeds the warning threshold, F. i (t k )>T warn,i This indicates that the accumulation of impurities has reached a warning level, with the excess value being greater than 0.

[0109] Calculate the out-of-bounds factor The out-of-bounds factor is used to determine whether the filtered signal has reached the over-limit threshold. An out-of-bounds factor of 1 indicates that the current impurities are seriously accumulated and the air volume needs to be increased quickly.

[0110] Calculate the integral score S i (t k )=α i ·S i (t k-1 )+β i ·H i (t k )+γ i ·δ i (t k ), where α i ∈(0,1) is a given attenuation coefficient, β i and γ i These are the weighting coefficients;

[0111] Iteratively calculate the integral score S for the (k+1)th sampling period. i (t k+1 );

[0112] If the integral score for n consecutive sampling periods is greater than S in，i If the system determines that impurities are severely accumulated, it will switch to high airflow mode.

[0113] If the integral score for n consecutive sampling periods is less than S out，i If the system determines that the accumulation of impurities has eased, it will switch to low airflow mode.

[0114] By dynamically tracking the integral score, the system not only determines the current state of impurity accumulation but also captures its accumulation trend, avoiding misjudgments caused by instantaneous signal fluctuations. Furthermore, setting entry and exit thresholds prevents the system from frequently switching airflow modes near critical points, improving operational stability.

[0115] In the description of this specification, the references to terms such as "one embodiment / mode," "some embodiments / modes," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment / mode or example is included in at least one embodiment / mode or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment / mode or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments / modes or examples. Furthermore, without contradiction, those skilled in the art can combine and integrate the different embodiments / modes or examples described in this specification, as well as the features of different embodiments / modes or examples.

[0116] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0117] Those skilled in the art should understand that the above embodiments are merely for illustrating the present invention and are not intended to limit the scope of the invention. Those skilled in the art can make other changes or modifications based on the above invention, and these changes or modifications still fall within the scope of the present invention.

Claims

1. A method for controlling an anti-clogging structure of a carding machine, characterized in that, The control terminal operates within an anti-clogging structure of a carding machine. The anti-clogging structure includes: a collection box (1), a detection component (3), a blowing component (2), and a waste removal channel (4). The collection box (1) is located directly below the carding wheel of the carding machine. The detection component (3) and the blowing component (2) are both located inside the collection box (1). A waste removal window communicating with the waste removal channel (4) is provided on the side of the collection box (1). The air outlet direction of the blowing component (2) faces the waste removal window. Both the detection component (3) and the blowing component (2) are electrically connected to the control terminal; The discharge window is set on the first side of the collection box (1) and connected to the third side of the collection box (1). The second side of the collection box (1) is set opposite to the first side of the collection box (1), and the third side of the collection box (1) is set opposite to the fourth side of the collection box (1). The detection component (3) is disposed on the fourth side of the collection box (1), and the blowing component (2) is disposed on the second side and the fourth side of the collection box (1); The detection component (3) includes multiple infrared ranging sensors, which are arranged in an array on the fourth side of the collection box (1). The blowing assembly (2) includes multiple nozzles and a positive pressure device. The multiple nozzles are connected to the air outlet of the positive pressure device through air pipes. The multiple nozzles are arranged in an array on the fourth side and the second side of the collection box (1). The central axis of the multiple nozzles all points to the center point of the discharge window. The control method includes: Acquire measurement values ​​from multiple infrared ranging sensors and process the measurement values ​​to obtain a filtered signal; Set trigger conditions; if the filtered signal reaches the trigger conditions, control the blower assembly to switch the airflow mode. The methods for obtaining measurement values ​​from multiple infrared ranging sensors include: Determine the first Infrared ranging sensor In the Emission intensity of sub-global sampling ; Set the global sampling period to And within a global sampling period Round sampling, in the first During round sampling, some infrared ranging sensors are activated to start infrared emission, and the set of indexes of the activated sensors is obtained. , , , This represents the number of infrared ranging sensors. Perform on all active sensors A quick read is performed to obtain the sensor reading. ,in, , , Sampling time; Obtain the The activated infrared ranging sensor in the first Second global sampling, the first Preliminary measurements from round sampling ; Obtain the The activated infrared ranging sensor in the first Raw measurements from sub-global sampling ,in, For the first The sensor at the first The set of rounds activated within the next global sampling period; The triggering conditions include high air volume triggering conditions and low air volume triggering conditions; The system independently determines the triggering condition of each infrared ranging sensor. If the filtered signal of any infrared ranging sensor reaches the high airflow triggering condition, the air blowing assembly is controlled to operate in high airflow mode. If the filtered signals of all infrared ranging sensors reach the low airflow triggering condition, the air blowing assembly is controlled to operate in low airflow mode.

2. The control method for the anti-clogging structure of a carding machine according to claim 1, characterized in that, The blowing assembly (2) also includes a plurality of enhanced nozzles, which are disposed on the second side of the collection box (1) and opposite to the discharge window.

3. The control method for the anti-clogging structure of a carding machine according to claim 1, characterized in that, Determine the launch strength The methods include: Setting the first Infrared ranging sensor initial emission intensity ; Iterate based on the initial emission intensity until the [number]th [emission level] is obtained. The original measurements from a global sample ; Set the upper limit of the original measurement value and the lower limit of the original measurement value ; like Then let ;like Then let ;like Then let ;in, This is the amplitude for adjusting the emission intensity.

4. The control method for the anti-clogging structure of a carding machine according to claim 1, characterized in that, Methods for processing measured values ​​to obtain filtered signals include: Obtain the The sensor in the Subglobal sampling Preliminary measurement values ; right Preliminary measurement values Perform extreme value comparison; when a preliminary measurement value exceeds the preset upper and lower limit thresholds or is an outlier, it is identified as an outlier and removed to obtain a clean measurement value; The pure measurement values ​​are averaged over several adjacent sampling periods using a sliding window of fixed length to obtain short-term smooth values; Short-term smoothing value and The long-term smoothed values ​​at each time point are weighted and fused according to a preset smoothing coefficient to generate new long-term smoothed values ​​in a recursive manner, and the new long-term smoothed values ​​are used as the filtered signal.

5. The control method for the anti-clogging structure of a carding machine according to claim 1, characterized in that, Methods for controlling the switching of airflow modes using infrared ranging sensors include: Set warning thresholds for each infrared ranging sensor and exceeding the threshold , Set entry threshold and exit threshold , ; Let the initial integral score be... It defaults to starting in low fan speed mode; Get the Filtered signal for one sampling period ; Calculate instantaneous excess value ; Calculate the out-of-bounds factor ; Calculate the integral score ,in, Given an attenuation coefficient, and These are the weighting coefficients; Iterative calculation of the first Integral score for each sampling period ; If continuous The integral score for each sampling period is greater than Then switch to high airflow mode; If continuous The integral scores for each sampling period are all less than If so, switch to low fan speed mode.

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