Method and device for predicting future waste silk interference risk of elasticizer, electronic equipment and storage medium

Abstract

The invention provides a method and device for predicting the future waste silk interference risk of an elasticizer, electronic equipment and a storage medium. According to the implementation scheme, based on a false twisting working environment image sequence of the elasticizer in the past first time, a first volume change curve of a waste silk cluster in the surrounding environment of the elasticizer in the first time is determined, and therefore a second volume change curve of the waste silk cluster in the future second time is predicted; determining a mass change curve and a friction resistance change curve of the waste silk cluster in the second time based on the second volume change curve of the waste silk cluster in the second time; on the basis of the mass change curve and the friction resistance change curve of the waste silk cluster in the second time, simulating the attraction force of the false twisting working airflow to the waste silk cluster by utilizing the airflow velocity of each position point in the false twisting working airflow of the elasticizer, and determining the future movement track of the waste silk cluster in the second time, therefore, the future waste silk interference risk of the waste silk cluster to the elasticizer is determined.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of image processing. The present disclosure specifically relates to a method and device for predicting future waste yarn interference risk of a texturing machine, an electronic device and a storage medium. BACKGROUND

[0002] In the chemical fiber generation process, the texturing process is a process of processing thermoplastic chemical fiber filaments into elastic filaments on a texturing machine. The fiber filaments are heated by a heater and are given false twist or crimp deformation in a hot state, and then cooled and untwisted to obtain high-elasticity filaments. If a heat setting is additionally added, low-elasticity filaments can be made.

[0003] Among them, the temperature, time, tension and false twist deformation degree during processing are the main process parameters of texturing, which change with the composition of the feeding original yarn, the linear density and the product property requirements, and are closely related to the product quality. In the false twist deformation process, due to the existence of waste yarn in the surrounding environment, the composition of the feeding original yarn may be contaminated with waste yarn, thereby affecting the quality of the fiber filaments after the texturing process. SUMMARY

[0004] The present disclosure provides a method and device for predicting future waste yarn interference risk of a texturing machine, an electronic device and a storage medium.

[0005] According to an aspect of the present disclosure, a method for predicting future waste yarn interference risk of a texturing machine is provided, comprising:

[0006] determining a first volume change curve of a waste yarn ball in a surrounding environment of the texturing machine within a first time based on a sequence of false twist working environment images of the texturing machine within the first time;

[0007] predicting a second volume change curve of the waste yarn ball within a second time based on the first volume change curve of the waste yarn ball within the first time;

[0008] determining a mass change curve and a friction resistance change curve of the waste yarn ball within the second time based on the second volume change curve of the waste yarn ball within the second time;

[0009] based on the mass change curve and the friction resistance change curve of the waste yarn ball within the second time, simulating an attractive force of a false twist working airflow of the texturing machine on the waste yarn ball by using airflow velocities of each position point in the false twist working airflow to determine a future moving track of the waste yarn ball within the second time;

[0010] determining a future waste yarn interference risk of the waste yarn ball to the texturing machine based on the future moving track of the waste yarn ball within the future first time period.

[0011] According to another aspect of the present disclosure, there is provided a device for predicting future waste yarn interference risk of a texturing machine, comprising:

[0012] a first curve determining module configured to determine a first volume change curve of a waste yarn ball in a surrounding environment of the texturing machine within a first time based on a sequence of false twist working environment images of the texturing machine within the first time;

[0013] a second curve determining module configured to predict a second volume change curve of the waste yarn ball within a second time based on the first volume change curve of the waste yarn ball within the first time;

[0014] a third curve determining module configured to determine a mass change curve and a friction resistance change curve of the waste yarn ball within the second time based on the second volume change curve of the waste yarn ball within the second time;

[0015] a trajectory predicting module configured to simulate an attraction force of a false twist working airflow of the texturing machine to the waste yarn ball based on the mass change curve and the friction resistance change curve of the waste yarn ball within the second time and airflow velocities of each position point in the false twist working airflow of the texturing machine, to determine a future moving trajectory of the waste yarn ball within the second time;

[0016] a risk determining module configured to determine a future waste yarn interference risk of the waste yarn ball to the texturing machine based on the future moving trajectory of the waste yarn ball within the future first time period.

[0017] According to another aspect of the present disclosure, there is provided an electronic device, comprising:

[0018] at least one processor; and

[0019] a memory communicatively connected to the at least one processor; wherein,

[0020] the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform any of the methods for predicting future waste yarn interference risk of a texturing machine according to embodiments of the present disclosure.

[0021] According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium storing computer instructions, wherein the computer instructions are used to cause a computer to perform any of the methods for predicting future waste yarn interference risk of a texturing machine according to embodiments of the present disclosure.

[0022] According to the technology of the present disclosure, based on the false twist working environment image sequence of the elasticizer in the past first time, a first volume change curve of the waste silk ball in the surrounding environment of the elasticizer in the first time is determined; based on the first volume change curve of the waste silk ball in the first time, a second volume change curve of the waste silk ball in a future second time is predicted; based on the second volume change curve of the waste silk ball in the second time, a mass change curve and a friction resistance change curve of the waste silk ball in the second time are determined; based on the mass change curve and the friction resistance change curve of the waste silk ball in the second time, the airflow velocity of each position point in the false twist working airflow of the elasticizer is used to simulate the attraction of the false twist working airflow to the waste silk ball, so as to determine the future moving track of the waste silk ball in the second time; based on the future moving track of the waste silk ball in the future first time period, the future waste silk interference risk of the waste silk ball to the elasticizer is determined.

[0023] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present disclosure, nor to limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0024] The accompanying drawings are used to better understand the present scheme and do not limit the present disclosure. Among them:

[0025] Figure 1 is a schematic diagram of the working environment of the elasticizer of an embodiment of the present disclosure;

[0026] Figure 2 is a flow chart of a prediction method of the future waste silk interference risk of the elasticizer of an embodiment of the present disclosure;

[0027] Figure 3 is a schematic diagram of the false twist working process of the elasticizer of an embodiment of the present disclosure;

[0028] Figure 4 is a schematic diagram of the future moving track of an embodiment of the present disclosure;

[0029] Figure 5 is a structural block diagram of a prediction device of the future waste silk interference risk of the elasticizer of an embodiment of the present disclosure;

[0030] Figure 6 is a block diagram of an electronic device of an embodiment of the present disclosure. DETAILED DESCRIPTION

[0031] Exemplary embodiments of the present disclosure are described herein below with reference to the accompanying drawings, in which various details are set forth to facilitate an understanding of the present disclosure. It should be appreciated that various embodiments of the present disclosure can be practiced with variations of these details as would be known to those of ordinary skill in the art and without departing from the scope of the present disclosure. Similarly, it should be appreciated that the description set forth herein does not form a complete description of all embodiments of the present disclosure and is not specifically intended to use the present disclosure to determine the scope of the embodiments of the present disclosure. To the extent that specific constructions, configurations, numerical values, and the like are set forth in this disclosure, such disclosure is intended only to be illustrative and not to be limiting of the scope of the embodiments of the present disclosure.

[0032] Figure 1 is a schematic diagram of a working environment of a texturing machine according to an embodiment of the present disclosure.

[0033] As shown in Figure 1 , the working environment of the texturing machine includes a plurality of texturing machines. During some working processes of the texturing machines and other fiber yarn processing devices, waste yarns can be generated and left in the surrounding environment. These waste yarns can affect the false twist process of the texturing machines, and the waste yarns can be wrapped into the false twist fiber yarns, affecting the quality of the fiber yarns. Therefore, the technical solutions provided by the embodiments of the present disclosure can identify the waste yarn interference risk of the texturing machines, so as to perform waste yarn processing, improve the cleaning efficiency, and improve the quality of the fiber yarns.

[0034] Figure 2 is a flowchart of a method for predicting future waste yarn interference risk of a texturing machine according to an embodiment of the present disclosure.

[0035] As shown in Figure 2 , the method for predicting future waste yarn interference risk of the texturing machine can include:

[0036] S210, determining a first volume change curve of a waste yarn ball in a surrounding environment of the texturing machine within a first time based on a sequence of false twist working environment images of the texturing machine within the first time;

[0037] S220, predicting a second volume change curve of the waste yarn ball within a second time in the future based on the first volume change curve of the waste yarn ball within the first time;

[0038] S230, determining a mass change curve and a friction resistance change curve of the waste yarn ball within the second time based on the second volume change curve of the waste yarn ball within the second time;

[0039] S240, simulating an attraction force of a false twist working air flow of the texturing machine to the waste yarn ball based on the mass change curve and the friction resistance change curve of the waste yarn ball within the second time, and determining a future moving track of the waste yarn ball within the second time by using air flow velocities of each position point in the false twist working air flow of the texturing machine;

[0040] S250, determining a future waste yarn interference risk of the waste yarn ball to the texturing machine based on the future moving track of the waste yarn ball within a future first time period.

[0041] Exemplarily, the false twist working environment image sequence can include a plurality of images arranged in time sequence collected when the texturing machine is performing false twist work. Each image includes the texturing machine and the surrounding environment information of the texturing machine. The surrounding environment includes one or more waste silk clusters. The waste silk cluster is a fluffy object with a certain volume, which can be moved by the surrounding working air flow or vibration force. For example, during false twist of the texturing machine, the false twist working air flow can attract the waste silk cluster to move towards the texturing machine.

[0042] Exemplarily, each image in the false twist working environment image sequence can be identified by the image recognition model to obtain the volume information of the waste silk cluster in each image, so as to obtain the first volume change curve.

[0043] Understandably, the first volume change curve can include the volume of the waste silk cluster at each time point.

[0044] Exemplarily, the past first time can be a time period from a past time to a current time, and the future second time can be a time period from the current time to a future time.

[0045] Exemplarily, by using the first volume change curve of the waste silk cluster in the first time, a corresponding curve function is fitted, the second time is input into the curve function for calculation to obtain the volume at each time point in the second time, and the volume at each time point in the second time is curve fitted to obtain the second volume change curve.

[0046] Exemplarily, by multiplying the second volume change curve of the waste silk cluster in the second time by the density of the waste silk cluster, a mass change curve of the waste silk cluster in the second time can be obtained.

[0047] Exemplarily, by multiplying the mass change curve of the waste silk cluster in the second time by the friction coefficient of the surrounding environment of the texturing machine, a friction resistance change curve of the waste silk cluster in the second time can be obtained.

[0048] Exemplarily, a sound collecting device such as a microphone can be used to collect the false twist working sound of the texturing machine in the first time period. The false twist working sound includes a sound signal changing with time. The sound signal can include sound size, tone and noise information.

[0049] Exemplarily, the false twist working sound is subjected to frequency spectrum analysis, and the frequency spectrum features in the frequency spectrum diagram are used to determine the false twist working air flow of the texturing machine. For example, the frequency spectrum diagram is input into a pre-trained air flow prediction model to obtain the false twist working air flow of the texturing machine output by the model. The false twist working air flow includes the air flow velocity at each position point around the twisted silk in the texturing machine.

[0050] For example, the greater the air flow speed of the false twist working air flow, the greater the attraction of the false twist working air flow to the waste yarn. For another example, the greater the distance between the end position of the waste yarn and the false twist working air flow in the first time period, the smaller the attraction of the false twist working air flow to the waste yarn.

[0051] As shown in FIG. 1, when the false twisting machine 100 performs false twisting work, the false twisting mechanism performs false twisting on the fiber yarn 140 in the clockwise direction along 130, and in the case of a high false twisting speed, a small false twist working air flow 150 is formed along the axial direction of the fiber yarn 140 and rotates clockwise. Figure 3

[0052] For example, the air flow speed of each position point in the false twist working air flow of the false twisting machine is used, and the position of the waste yarn group predicted at the previous time is used to simulate the attraction of the false twist working air flow to the waste yarn group at the current time, and then the attraction is combined with the frictional resistance at the current time in the frictional resistance change curve to obtain the resultant force of the waste yarn group at the current time. Using the resultant force of the waste yarn group at the current time and the mass at the current time in the mass change curve, the acceleration of the waste yarn group at the current time can be determined, and using the acceleration of the waste yarn group at the current time and the position of the waste yarn group predicted at the previous time, the position of the waste yarn group at the current time can be predicted. Thus, based on the predicted position of the waste yarn group at each time, the future moving track of the waste yarn group in the second time period can be determined.

[0053] It can be understood that the position of the waste yarn group at each time predicted above is the center point position of the waste yarn group at each time.

[0054] For example, based on the future moving track of the waste yarn group in the first time period in the future, the future approaching trend or the future moving away trend of the waste yarn group can be analyzed, and the future waste yarn interference risk of the false twisting machine caused by the waste yarn group can be calculated.

[0055] For example, in an ideal state, the attraction of the false twisting machine to the waste yarn group is determined using the false twist working air flow of the false twisting machine, and using the attraction, the future moving track of the waste yarn group in the second time period in the surrounding environment can be determined. For example, the attraction data and the position information of the waste yarn group relative to the false twist working air flow are input into a simulation system, and the simulation system can simulate the first future moving track of the waste yarn group in the second time period in the ideal state.

[0056] Then, in the state that the volume of the waste yarn group changes and the friction changes, the mass change curve and the frictional resistance change curve of the waste yarn group in the second time period and the attraction data are input into the simulation system, and the simulation system can simulate the second future moving track of the waste yarn group in the second time period in the state that the volume changes and the friction changes.

[0057] ​Then, the future waste yarn interference risks of the waste yarn ball to the elasticizer are calculated respectively according to the first future moving track and the second future moving track, and the first future waste yarn interference risk and the second future waste yarn interference risk are obtained. If any one of the risks is greater than the preset risk threshold, the waste yarn cleaning device is controlled to clean the surrounding environment of the elasticizer. If both of the risks are less than the preset risk threshold, the surrounding environment of the elasticizer is not cleaned. In this way, it can be more reasonable to determine whether to clean the surrounding environment of the elasticizer by using the future waste yarn interference risk.

[0058] According to the above-mentioned embodiment, the first volume change curve of the waste yarn ball in the first time is determined based on the sequence of false twist working environment images of the elasticizer in the past first time; the second volume change curve of the waste yarn ball in the future second time is predicted based on the first volume change curve of the waste yarn ball in the first time; the mass change curve and the friction resistance change curve of the waste yarn ball in the second time are determined based on the second volume change curve of the waste yarn ball in the second time; the future moving track of the waste yarn ball in the second time is simulated by using the airflow velocity of each position point in the false twist working airflow of the elasticizer based on the mass change curve and the friction resistance change curve of the waste yarn ball in the second time, so as to determine the future moving track of the waste yarn ball in the second time; and the future waste yarn interference risk of the waste yarn ball to the elasticizer is determined based on the future moving track of the waste yarn ball in the future first time period.

[0059] In one embodiment, the future moving track of the waste yarn ball in the second time is simulated by using the airflow velocity of each position point in the false twist working airflow of the elasticizer based on the mass change curve and the friction resistance change curve of the waste yarn ball in the second time, so as to determine the future moving track of the waste yarn ball in the second time, including: determining the predicted trajectory point and the predicted velocity of the waste yarn ball at the starting moment in the second time based on the current position of the waste yarn ball in the surrounding environment of the elasticizer; starting from the starting moment, performing the following operations at each moment: determining the attraction of the false twist working airflow to the waste yarn ball at the moment based on the airflow velocity of each position point in the false twist working airflow of the elasticizer and the predicted trajectory point of the waste yarn ball at the moment; determining the resultant force of the waste yarn ball at the moment based on the attraction of the false twist working airflow to the waste yarn ball at the moment and the friction resistance in the friction resistance change curve at the moment; determining the predicted acceleration of the waste yarn ball at the moment based on the resultant force of the waste yarn ball at the moment and the mass in the mass change curve at the moment, and determining the predicted trajectory point and the predicted velocity of the waste yarn ball at the next moment based on the predicted acceleration and the predicted velocity of the waste yarn ball at the moment; and thus, the future moving track of the waste yarn ball in the second time is determined based on the predicted trajectory point of the waste yarn ball at each moment in the second time.

[0060] Exemplarily, the ending moment in the past first time and the starting moment in the future second time can not be the same, and the difference therebetween can be less than a set time threshold, so as to avoid the two times being too far apart. Moreover, the difference between the ending moment in the past first time and the current time also needs to be less than the set time threshold, and the difference between the starting moment in the future second time and the current time also needs to be less than the set time threshold.

[0061] Exemplarily, image recognition can be performed on the false twist working environment image sequence of the false twister in the past first time, so as to obtain the trajectory change of the waste yarn ball in the past first time. In combination with the current position of the waste yarn ball at the current time, the predicted trajectory point and the predicted speed of the waste yarn ball at the starting moment in the second time can be simply predicted.

[0062] It can be understood that, generally speaking, the false twist working parameters of the false twister are unchanged in a short time, and the false twist working airflow of the false twister is also basically constant. Therefore, the airflow speed of each position point in the false twist working airflow of the false twister also remains constant. When the false twist working parameters of the false twister change, the false twist working airflow of the false twister also changes accordingly.

[0063] Exemplarily, the predicted trajectory point of the waste yarn ball at the time and the position of the false twister can determine the distance between the waste yarn ball at the time and the false twister. Then, by using the airflow speed of each position point in the false twist working airflow of the false twister and the distance between the waste yarn ball at the time and the false twister, the attraction of each position point to the waste yarn ball can be determined, and then the resultant force is calculated to obtain the attraction of the false twist working airflow to the waste yarn ball at the time. The farther the waste yarn ball is from the false twister, the smaller the influence of the false twist working airflow on the waste yarn ball, for example, the smaller the attraction.

[0064] Exemplarily, the attraction of the false twist working airflow to the waste yarn ball at the time and the frictional resistance in the frictional force change curve at the time are calculated to obtain the resultant force of the waste yarn ball at the time. The frictional resistance is the frictional resistance of the waste yarn ball at the time.

[0065] Exemplarily, the predicted acceleration of the waste yarn ball at the time can be obtained by dividing the resultant force of the waste yarn ball at the time by the mass in the mass change curve at the time.

[0066] Exemplarily, based on the predicted acceleration and the predicted speed of the waste yarn ball at the time, the predicted speed of the waste yarn ball at the next time of the time can be determined, and then, by using the predicted speed of the waste yarn ball at the next time of the time and the predicted position of the waste yarn ball at the time, the predicted position of the waste yarn ball at the next time of the time can be predicted. In this way, the predicted positions at each time in the future second time, i.e., the predicted trajectory points, can be predicted.

[0067] Exemplarily, the future moving trajectory of the waste yarn ball in the second time is obtained by fitting the predicted trajectory points of the waste yarn ball at each time in the second time. Alternatively, it can be understood that the future moving trajectory includes the predicted trajectory points at each time.

[0068] According to the above embodiment, by analyzing and simulating the force change and mass change of the waste yarn ball, the future moving trajectory of the waste yarn ball can be obtained.

[0069] In an embodiment, based on the second volume change curve of the waste yarn ball in the second time, the mass change curve and the frictional resistance change curve of the waste yarn ball in the second time are determined, including: based on the average density of the waste yarn ball in the first time, based on the average density of the waste yarn ball, and the second volume change curve of the waste yarn ball in the second time, the mass change curve of the waste yarn ball in the second time is determined; based on the second volume change curve of the waste yarn ball in the second time, and the friction coefficient of the support position where the waste yarn ball is located, the frictional resistance change curve of the waste yarn ball in the second time is determined.

[0070] Exemplarily, the average density of the waste yarn ball can be obtained by averaging the density measurement quantity of the historical waste yarn ball. Alternatively, the density of the waste yarn ball in each image in the false twist working environment image sequence is identified by some trained neural network model, and then the average density of the waste yarn ball is obtained by averaging the density of the waste yarn ball in each image.

[0071] Exemplarily, the average density of the waste yarn ball is multiplied by the volume at each time in the second volume change curve to obtain the mass at each time, and the mass at each time is fitted to obtain the mass change curve of the waste yarn ball in the second time.

[0072] Exemplarily, based on the second volume change curve of the waste yarn ball in the second time, the contact area change curve of the waste yarn ball in the second time is determined, the contact area at each time in the contact area change curve is multiplied by the friction coefficient of the support position where the waste yarn ball is located to obtain the frictional resistance of the waste yarn ball at each time, and the frictional resistance of the waste yarn ball at each time is fitted to obtain the frictional resistance change curve of the waste yarn ball in the second time.

[0073] According to the above embodiment, by the second volume change curve of the waste yarn ball in the second time, the mass change curve and the frictional resistance change curve of the waste yarn ball in the second time can be determined.

[0074] In an embodiment, determining the future waste yarn interference risk of the waste yarn ball to the elasticizer based on a future moving track of the waste yarn ball in a future first time period comprises: determining a future approaching tendency of the waste yarn ball to the elasticizer based on a directional relationship between a track point in the future moving track and the elasticizer; determining the future waste yarn interference risk of the waste yarn ball to the elasticizer based on the future approaching tendency of the waste yarn ball to the elasticizer; determining a future moving away tendency of the waste yarn ball to the elasticizer based on a positional relationship between a future end point in the future moving track and a future nearest point to the elasticizer; and correcting the future waste yarn interference risk of the waste yarn ball to the elasticizer based on the future moving away tendency of the waste yarn ball to the elasticizer.

[0075] Exemplarily, the future approaching tendency of the waste yarn ball to the elasticizer can be determined by using a straight line direction between the nearest point to the elasticizer in the future moving track and the elasticizer, and a displacement direction of the future moving track, and a directional relationship between the two directions. For example, the smaller the included angle between the two directions, the greater the future approaching tendency of the waste yarn ball to the elasticizer. The greater the included angle between the two directions, the smaller the future approaching tendency of the waste yarn ball to the elasticizer.

[0076] Exemplarily, the future approaching tendency of the waste yarn ball to the elasticizer can be determined by using a straight line direction between the nearest point to the elasticizer in the future moving track and the elasticizer, and a tangent direction of the future nearest point on the future moving track, and a directional relationship between the two directions. For example, the smaller the included angle between the two directions, the greater the future approaching tendency of the waste yarn ball to the elasticizer. The greater the included angle between the two directions, the smaller the future approaching tendency of the waste yarn ball to the elasticizer.

[0077] Exemplarily, a linear function can be used to calculate the future approaching tendency of the waste yarn ball to the elasticizer to obtain the future waste yarn interference risk of the waste yarn ball to the elasticizer. For example, F(x) = ax + b, where x represents the future approaching tendency of the waste yarn ball to the elasticizer, a and b are constants, and F(x) is the future waste yarn interference risk of the waste yarn ball to the elasticizer. The greater the future approaching tendency of the waste yarn ball to the elasticizer, the greater the future waste yarn interference risk of the waste yarn ball to the elasticizer.

[0078] Understandably, since multiple texturing machines can operate in the same environment, the false twisting airflow between adjacent machines can affect the future trajectory of the waste yarn bundle. Resonance between these machines can also influence its future trajectory. Therefore, the waste yarn bundle might initially move towards and approach the texturing machine, but subsequently veer away due to other factors. Thus, it's necessary to assess the future tendency of the waste yarn bundle to move away from the texturing machine and use this tendency to correct for future waste yarn interference risks, resulting in a more comprehensive understanding of these risks.

[0079] For example, if the future endpoint in the future movement trajectory and the future nearest point to the texturing machine in the future movement trajectory are not the same, the value of the future moving away trend of the waste yarn ball relative to the texturing machine is determined to be a positive number based on the distance between the future endpoint and the future nearest point, and this value is positively correlated with this distance. Conversely, if the future endpoint in the future movement trajectory and the future nearest point to the texturing machine in the future movement trajectory are the same, the value of the future moving away trend of the waste yarn ball relative to the texturing machine is determined to be zero.

[0080] like Figure 4 As shown, in trajectory A, the nearest future point A1 to the texturing machine is the same as the nearest future point A2. At this point, the waste yarn ball's future tendency to move away from the texturing machine is zero. After a period of time, the waste yarn ball continues to move, forming trajectory B. In trajectory B, the nearest future point B1 to the texturing machine is different from the nearest future point B2. At this point, the waste yarn ball's future tendency to move away from the texturing machine is positive, and this positive value can be directly proportional to or positively correlated with the distance between the nearest future point and the nearest future point.

[0081] For example, the future moving away trend of waste yarn spools relative to the texturing machine can be used to reduce the risk of future waste yarn interference from waste yarn spools to the texturing machine. For instance, a linear function is used to calculate the future moving away trend of waste yarn spools relative to the texturing machine to obtain the possibility of mitigation of interference. Then, the possibility of mitigation of interference is subtracted from the future waste yarn interference risk of waste yarn spools to the texturing machine to obtain the corrected risk of future waste yarn interference from waste yarn spools to the texturing machine.

[0082] For example, if the risk of the corrected waste yarn clump interfering with the future waste yarn of the texturing machine exceeds a preset threshold, the waste yarn cleaning equipment is controlled to clean the waste yarn around the texturing machine.

[0083] According to the above embodiment, in the future moving track of the waste silk ball moving to the elasticizer, the future far-off tendency of the waste silk ball relative to the elasticizer can be accurately determined by the positional relationship between the future end point in the future moving track and the future nearest point to the elasticizer in the future moving track, and thus the future waste silk interference risk determined only by the future close tendency of the waste silk ball relative to the elasticizer can be corrected by the future far-off tendency, so that the corrected future waste silk interference risk is more accurate and more comprehensive.

[0084] In an embodiment, the future far-off tendency of the waste silk ball relative to the elasticizer is determined based on the positional relationship between the future end point in the future moving track and the future nearest point to the elasticizer, including: in the case that the future end point and the future nearest point are inconsistent, determining the distance between the future end point and the future nearest point, the first straight line direction from the future nearest point to the future end point, and the nearest straight line direction from the future nearest point to the elasticizer based on the future moving track; and determining the future far-off tendency of the waste silk ball relative to the elasticizer based on the distance between the future end point and the future nearest point and the included angle between the first straight line direction and the nearest straight line direction, wherein the future far-off tendency is a positive number.

[0085] Exemplarily, the distance between the future end point and the future nearest point has a positive correlation with the future far-off tendency, and the included angle between the first straight line direction and the nearest straight line direction has a positive correlation with the future far-off tendency.

[0086] Exemplarily, when the future end point and the future nearest point are inconsistent, the greater the distance between the future end point and the future nearest point, the greater the future far-off tendency of the waste silk ball relative to the elasticizer. The smaller the distance between the future end point and the future nearest point, the smaller the future far-off tendency of the waste silk ball relative to the elasticizer. The greater the included angle between the first straight line direction from the future nearest point to the future end point and the nearest straight line direction from the future nearest point to the elasticizer, the greater the future far-off tendency of the waste silk ball relative to the elasticizer. The smaller the included angle between the first straight line direction from the future nearest point to the future end point and the nearest straight line direction from the future nearest point to the elasticizer, the greater the future far-off tendency of the waste silk ball relative to the elasticizer.

[0087] Exemplarily, the distance between the future end point and the future nearest point and the included angle between the first straight line direction and the nearest straight line direction are normalized respectively to obtain the normalized distance between the future end point and the future nearest point and the normalized included angle between the first straight line direction and the nearest straight line direction. A linear function is used to calculate the normalized distance and the normalized included angle to obtain the future far-off tendency of the waste silk ball relative to the elasticizer.

[0088] According to the above embodiment, when the position of the future end point and the future closest point in the future moving track of the waste yarn ball are inconsistent, the waste yarn ball has a future tendency to move away from the elasticizer, and then, the distance between the future end point and the future closest point is determined, and the first straight line direction from the future closest point to the future end point and the nearest straight line direction from the future closest point to the elasticizer are determined, and then, the future tendency of the waste yarn ball to move away from the elasticizer can be accurately determined by using the distance between the future end point and the future closest point and the included angle between the first straight line direction and the nearest straight line direction. Subsequently, the future waste yarn interference risk of the waste yarn ball to the elasticizer can be corrected by using the future tendency of the waste yarn ball to move away from the elasticizer, and the accuracy of the future risk prediction can be improved.

[0089] In an embodiment, the method further comprises: when the position of the future end point and the future closest point are consistent, determining that the value of the future tendency of the waste yarn ball to move away from the elasticizer is zero.

[0090] In the present example, when the position of the future end point and the future closest point in the future moving track of the waste yarn ball are consistent, the waste yarn ball does not have a tendency to move away from the elasticizer, and at this time, the value of the future tendency of the waste yarn ball to move away from the elasticizer is set to zero, and subsequently, even if the future waste yarn interference risk of the waste yarn ball to the elasticizer is corrected by using the future tendency of the waste yarn ball to move away from the elasticizer, the accuracy of the risk prediction will not be affected.

[0091] In an embodiment, the future waste yarn interference risk of the waste yarn ball to the elasticizer is corrected based on the future tendency of the waste yarn ball to move away from the elasticizer, comprising: reducing the future waste yarn interference risk of the waste yarn ball to the elasticizer based on the future tendency of the waste yarn ball to move away from the elasticizer.

[0092] For example, the future tendency of the waste yarn ball to move away from the elasticizer is standardized or normalized, and then the future waste yarn interference risk of the elasticizer is reduced by using the normalized future tendency of the waste yarn ball to move away from the elasticizer, to obtain the corrected future waste yarn interference risk of the elasticizer.

[0093] For another example, the future tendency of the waste yarn ball to move away from the elasticizer is calculated by using a linear function to obtain the interference mitigation possibility, and then the future waste yarn interference risk of the waste yarn ball to the elasticizer is subtracted by the interference mitigation possibility to obtain the corrected future waste yarn interference risk of the waste yarn ball to the elasticizer.

[0094] According to the above embodiment, based on the future moving away tendency of the waste yarn group relative to the elasticizer, the future waste yarn interference risk of the elasticizer is reduced, and the corrected future waste yarn interference risk of the elasticizer is obtained. In this way, the corrected future waste yarn interference risk of the elasticizer not only considers the future moving away tendency of the waste yarn group, but also considers the future moving away tendency of the waste yarn group, so that the accuracy of the future waste yarn interference risk of the elasticizer is improved.

[0095] In an embodiment, based on the directional relationship of the trajectory point in the future moving trajectory relative to the elasticizer, the future moving close tendency of the waste yarn group relative to the elasticizer is determined, including: in the case that the closest distance between the future moving trajectory and the elasticizer is greater than a first distance and less than a second distance, the future moving close tendency of the waste yarn group relative to the elasticizer is determined based on the directional relationship of the trajectory point in the future moving trajectory relative to the elasticizer, wherein the first distance is less than the second distance; in the case that the closest distance between the future moving trajectory and the elasticizer is less than the first distance, the future moving close tendency of the waste yarn group relative to the elasticizer is determined based on the closest distance between the future moving trajectory and the elasticizer; in the case that the closest distance between the future moving trajectory and the elasticizer is greater than the second distance, the future moving close tendency of the waste yarn group relative to the elasticizer is determined based on the second distance.

[0096] It can be understood that when the waste yarn group is at a certain distance from the elasticizer but is not very close to the elasticizer, it is not necessarily accurate to directly use the distance to determine the future moving close tendency of the waste yarn group relative to the elasticizer, and the directional relationship of the trajectory point in the future moving trajectory relative to the elasticizer needs to be considered. For example, at the same closest point distance, i.e. the closest distance between the future moving trajectory and the elasticizer, for two different waste yarn groups, the smaller the angle between the waste yarn displacement direction and the straight line direction, the greater the future moving close tendency of the waste yarn group relative to the elasticizer. For example, at the same closest point distance, for two different waste yarn groups, the smaller the angle between the tangent direction of the closest point in the future moving trajectory and the straight line direction, the greater the future moving close tendency of the waste yarn group relative to the elasticizer.

[0097] It can be understood that when the waste yarn group is relatively close to the elasticizer, the closest distance between the future moving trajectory and the elasticizer can be used to determine the future moving close tendency of the waste yarn group relative to the elasticizer. The closer the distance, the greater the future moving close tendency of the waste yarn group relative to the elasticizer. The farther the distance, the smaller the future moving close tendency of the waste yarn group relative to the elasticizer.

[0098] It can be understood that when the waste yarn group is relatively far away from the elasticizer, for example, greater than the second distance, the second distance can be used to directly determine the future moving close tendency of the waste yarn group relative to the elasticizer. At this time, the future moving close tendency is a fixed value.

[0099] According to the above-mentioned embodiments, the future approaching trend of the waste silk ball relative to the elasticizer is determined in different ways according to the interval in which the closest distance between the future moving track and the elasticizer is located, so that the future approaching trend of the waste silk ball relative to the elasticizer can be accurately and quickly determined.

[0100] In one embodiment, the future approaching trend of the waste silk ball relative to the elasticizer is determined based on the directional relationship of the track point in the future moving track relative to the elasticizer, including: determining the future waste silk displacement direction based on the future starting point and the future ending point in the future moving track; determining the closest straight line direction from the future closest point to the elasticizer based on the future closest point in the future moving track and the position information of the elasticizer; and determining the future approaching trend of the waste silk ball relative to the elasticizer based on the included angle between the future waste silk displacement direction and the closest straight line direction.

[0101] It can be understood that the direction from the future starting point to the future ending point in the future moving track is the future waste silk displacement direction.

[0102] It can be understood that the direction from the future closest point in the future moving track to the elasticizer is the closest straight line direction.

[0103] Exemplarily, a function can be used to calculate the included angle between the future waste silk displacement direction and the closest straight line direction, and the value is used to determine the future approaching trend of the waste silk ball relative to the elasticizer. For example, a function composed of a linear function and a trigonometric function.

[0104] It can be understood that the smaller the included angle between the future waste silk displacement direction and the closest straight line direction, the greater the future approaching trend of the waste silk ball relative to the elasticizer, and the greater the risk of waste silk interference of the elasticizer. The greater the included angle between the future waste silk displacement direction and the closest straight line direction, the smaller the future approaching trend of the waste silk ball relative to the elasticizer, and the smaller the risk of waste silk interference of the elasticizer.

[0105] It can be understood that in the case that the waste silk ball is a certain distance away from the elasticizer, the smaller the included angle between the waste silk displacement direction and the closest straight line direction, the easier the waste silk ball approaches the elasticizer, that is, the greater the possibility of the waste silk ball approaching the elasticizer, and the greater the risk of waste silk interference of the elasticizer. In the case that the waste silk ball is a certain distance away from the elasticizer, the greater the included angle between the waste silk displacement direction and the closest straight line direction, the more difficult the waste silk ball approaches the elasticizer, that is, the smaller the possibility of the waste silk ball approaching the elasticizer, and the smaller the risk of waste silk interference of the elasticizer.

[0106] It can be understood that if the waste silk ball is relatively close to the elasticizer, the above-mentioned directional relationship is no longer used to determine the waste silk interference risk of the elasticizer, but the distance of the waste silk ball relative to the elasticizer is directly used to determine the waste silk interference risk of the elasticizer. If the waste silk ball is relatively far from the elasticizer, for example, more than a certain distance, a specified numerical value can be used to determine the waste silk interference risk of the elasticizer, and complex calculation is not necessary to indicate that the waste silk interference risk of the elasticizer is relatively small.

[0107] According to the above-mentioned embodiment, by using the included angle between the displacement direction of the waste silk ball and the nearest straight line direction from the nearest point to the elasticizer, the future approaching trend of the waste silk ball relative to the elasticizer can be accurately determined.

[0108] In one embodiment, based on the directional relationship of the trajectory point in the future moving trajectory relative to the elasticizer, the future approaching trend of the waste silk ball relative to the elasticizer is determined, including: based on the position of the future nearest point in the future moving trajectory and the curvature, determining the tangent direction of the future nearest point in the future moving trajectory; based on the future nearest point in the future moving trajectory and the position information of the elasticizer, determining the nearest straight line direction from the future nearest point to the elasticizer; based on the included angle between the tangent direction of the future nearest point in the future moving trajectory and the nearest straight line direction, determining the future approaching trend of the waste silk ball relative to the elasticizer.

[0109] It can be understood that the first derivative and the second derivative of the curvature of the nearest point are solved, and then the first derivative is solved to be the tangent direction.

[0110] It can be understood that the direction from the nearest point in the future moving trajectory to the elasticizer is the nearest straight line direction.

[0111] Exemplarily, a function can be used to calculate the included angle between the tangent direction and the nearest straight line direction, and the numerical value is used to determine the future approaching trend of the waste silk ball relative to the elasticizer. For example, a function composed of a linear function and a trigonometric function.

[0112] It can be understood that the smaller the included angle between the tangent direction and the nearest straight line direction, the greater the future approaching trend of the waste silk ball relative to the elasticizer, and the greater the waste silk interference risk of the elasticizer. The greater the included angle between the tangent direction and the nearest straight line direction, the greater the future approaching trend of the waste silk ball relative to the elasticizer, and the smaller the waste silk interference risk of the elasticizer.

[0113] It can be understood that, in the case that the waste yarn group is at a certain distance from the elasticizer, the smaller the angle between the tangent direction and the nearest straight line direction means that the waste yarn group is more likely to approach the elasticizer, and the greater the risk of waste yarn interference of the elasticizer. In the case that the waste yarn group is at a certain distance from the elasticizer, the greater the angle between the tangent direction and the nearest straight line direction means that the waste yarn group is less likely to approach the elasticizer, and the smaller the risk of waste yarn interference of the elasticizer.

[0114] It can be understood that, if the waste yarn group is relatively close to the elasticizer, the above-mentioned directional relationship is no longer used to determine the risk of waste yarn interference of the elasticizer, but the distance of the waste yarn group from the elasticizer is used to directly determine the risk of waste yarn interference of the elasticizer. If the waste yarn group is relatively far from the elasticizer, for example, more than the above-mentioned certain distance, a specified numerical value can be used to determine the risk of waste yarn interference of the elasticizer, and complex calculation is not necessary to indicate that the risk of waste yarn interference of the elasticizer is relatively small.

[0115] According to the above-mentioned embodiments, by using the angle between the tangent direction of the future nearest point in the future moving track of the waste yarn and the nearest straight line direction from the nearest point to the elasticizer, the future approaching trend of the waste yarn group relative to the elasticizer can be accurately determined.

[0116] In some examples, the future approaching trend of the waste yarn group relative to the elasticizer can be determined by using both the angle between the displacement direction of the waste yarn group and the nearest straight line direction, and the angle between the tangent direction of the nearest point in the future moving track and the nearest straight line direction. The smaller the two angles, the smaller the future approaching trend of the waste yarn group relative to the elasticizer. For example, the minimum value of the two angles is used to determine the future approaching trend of the waste yarn group relative to the elasticizer, so as to avoid directly determining that the risk of waste yarn interference of the elasticizer is relatively small due to one angle being too large. Alternatively, the average value of the two angles is used to determine the future approaching trend of the waste yarn group relative to the elasticizer.

[0117] In one embodiment, further comprising: collecting sound of the current false twist work of the elasticizer to obtain false twist work sound of the elasticizer; and determining false twist work airflow of the elasticizer based on the false twist work sound.

[0118] In one embodiment, determining the false twist work airflow of the elasticizer based on the false twist work sound comprises: performing noise filtering on the false twist work sound; and inputting the noise-filtered false twist work sound into an airflow prediction model to obtain false twist work airflow output by the airflow prediction model, wherein the false twist work airflow comprises airflow velocities of each position point near the false twisted fiber yarn of the elasticizer; and wherein the airflow prediction model is a model trained by using a training sample set, and each training sample in the training sample set comprises a false twist work sound sample and a false twist work airflow sample.

[0119] It can be understood that the false twist working airflow includes airflow velocities of various position points near the twisting.

[0120] Exemplarily, the ambient environment of the texturing machine can be sound collected to determine noise information. The false twist working sound is noise filtered by using the noise information.

[0121] Exemplarily, the false twist working airflow sample of the texturing machine is obtained by simulating the working of the texturing machine in the simulation system by using the working parameters corresponding to the false twist working sound sample. Meanwhile, the texturing machine is controlled to work by using the working parameters corresponding to the false twist working sound sample, and the sound is collected to obtain the false twist working sound sample. In this way, a large number of training samples can be quickly collected to train the airflow prediction model and improve the accuracy of the airflow prediction model.

[0122] Exemplarily, the airflow prediction model can be a neural network applied to the field of sound recognition.

[0123] According to the above embodiment, the false twist working sound is noise filtered, and the false twist working sound after noise filtering is processed by using the airflow prediction model, so that the false twist working airflow of the texturing machine can be accurately predicted.

[0124] In an embodiment, it further includes: based on the false twist working parameters of the texturing machine, and the diameter and surface roughness of the current false twist fiber yarn of the texturing machine, simulating the current false twist working of the texturing machine to obtain the false twist working airflow of the texturing machine.

[0125] Exemplarily, the false twist working parameters of the texturing machine, and the diameter and surface roughness of the current false twist fiber yarn of the texturing machine are input into the simulation platform, and the simulation platform can simulate the current false twist working of the texturing machine to obtain the false twist working airflow of the texturing machine.

[0126] According to the above embodiment, the false twist working airflow of the texturing machine can be accurately determined by using simulation.

[0127] In an embodiment, it further includes: in the case that the future interference risk of the waste yarn ball to the texturing machine is greater than a preset risk threshold, controlling the waste yarn cleaning device to clean the ambient environment of the texturing machine.

[0128] It can be understood that the waste yarn cleaning of the ambient environment of the texturing machine can also include cleaning the ambient environment of all the texturing machines in the nearby area of the texturing machine.

[0129] Exemplarily, in the case that the target waste yarn interference risk of the texturing machine is less than a preset second risk threshold, the waste yarn cleaning is temporarily not performed.

[0130] According to the above embodiment, in the case that the waste yarns in the surrounding environment include multiple waste yarns, the above operation is performed on each waste yarn to obtain a modified current waste yarn interference risk of each waste yarn group to the texturing machine, and then a target waste yarn interference risk of the texturing machine is determined therefrom, and in the case that the target waste yarn interference risk of the texturing machine is greater than a preset threshold, the waste yarn cleaning device is controlled to clean the surrounding environment of the texturing machine. In this way, the target waste yarn interference risk of the texturing machine can be accurately calculated, and the waste yarn cleaning device is controlled only when the risk is great, so that the waste yarn cleaning can be avoided from being frequently performed to affect the work of the texturing machine, and the degree of interference of the texturing machine by the waste yarns can be avoided from being too great.

[0131] Figure 5 Figure 1 is a structural block diagram of a prediction device for a future waste yarn interference risk of a texturing machine according to an embodiment of the present application.

[0132] As shown in Figure 5 , the prediction device for a future waste yarn interference risk of a texturing machine can include:

[0133] a first curve determination module 510 configured to determine a first volume change curve of a waste yarn group in a surrounding environment of the texturing machine within a first time based on a sequence of false twist working environment images of the texturing machine within the first time;

[0134] a second curve determination module 520 configured to predict a second volume change curve of the waste yarn group within a second time in the future based on the first volume change curve of the waste yarn group within the first time;

[0135] a third curve determination module 530 configured to determine a mass change curve and a friction resistance change curve of the waste yarn group within the second time based on the second volume change curve of the waste yarn group within the second time;

[0136] a trajectory prediction module 540 configured to simulate an attraction force of a false twist working airflow of the texturing machine to the waste yarn group based on the mass change curve and the friction resistance change curve of the waste yarn group within the second time and the airflow velocity of each position point in the false twist working airflow of the texturing machine to determine a future moving trajectory of the waste yarn group within the second time;

[0137] an interference risk determination module 550 configured to determine a future waste yarn interference risk of the waste yarn group to the texturing machine based on the future moving trajectory of the waste yarn group within the future first time period.

[0138] In an embodiment, the trajectory prediction module includes:

[0139] an initialization unit configured to determine, based on a current position of a waste yarn ball in a surrounding environment of the elasticizer, a predicted trajectory point and a predicted velocity of the waste yarn ball at a starting time point in the second time;

[0140] a trajectory point prediction unit configured to, starting from the starting time point, determine, based on airflow velocities of respective position points in a false twist airflow of the elasticizer and the predicted trajectory point of the waste yarn ball at the time point, an attraction force of the false twist airflow to the waste yarn ball at the time point, determine, based on the attraction force of the false twist airflow to the waste yarn ball at the time point and a frictional resistance of the frictional force change curve at the time point, a resultant force of the waste yarn ball at the time point, determine, based on the resultant force of the waste yarn ball at the time point and a mass of the mass change curve at the time point, a predicted acceleration of the waste yarn ball at the time point, and determine, based on the predicted acceleration and the predicted velocity of the waste yarn ball at the time point, a predicted trajectory point and a predicted velocity of the waste yarn ball at a next time point of the time point;

[0141] a trajectory prediction unit configured to determine, based on the predicted trajectory points of the waste yarn ball at respective time points in the second time, a future moving trajectory of the waste yarn ball in the second time.

[0142] In an embodiment, the third curve determination module comprises:

[0143] a density determination unit configured to determine, based on a sequence of false twist working environment images of the elasticizer in a past first time, an average density of the waste yarn ball;

[0144] a mass change curve determination unit configured to determine, based on the average density of the waste yarn ball and a second volume change curve of the waste yarn ball in the second time, a mass change curve of the waste yarn ball in the second time;

[0145] a resistance change curve determination unit configured to determine, based on the second volume change curve of the waste yarn ball in the second time and a friction coefficient of a supporting position where the waste yarn ball is located, a frictional resistance change curve of the waste yarn ball in the second time.

[0146] In an embodiment, the interference risk determination module comprises:

[0147] a first trend determination unit configured to determine, based on a directional relationship of trajectory points in the future moving trajectory relative to the elasticizer, a future approaching trend of the waste yarn ball relative to the elasticizer;

[0148] a first risk determination unit configured to determine, based on the future approaching trend of the waste yarn ball relative to the elasticizer, a future waste yarn interference risk of the waste yarn ball to the elasticizer.

[0149] a second trend determining unit configured to determine a future distancing trend of the waste yarn ball relative to the doubling machine based on a positional relationship between a future end point in the future moving trajectory and a future nearest point to the doubling machine;

[0150] a second risk determining unit configured to correct a future waste yarn interference risk of the waste yarn ball to the doubling machine based on the future distancing trend of the waste yarn ball relative to the doubling machine.

[0151] In an embodiment, the second trend determining unit is specifically configured to:

[0152] when the position of the future end point is inconsistent with the position of the future nearest point, determine, based on the future moving trajectory, a distance between the future end point and the future nearest point, a first straight line direction from the future nearest point to the future end point, and a nearest straight line direction from the future nearest point to the doubling machine;

[0153] determine the future distancing trend of the waste yarn ball relative to the doubling machine based on the distance between the future end point and the future nearest point and an included angle between the first straight line direction and the nearest straight line direction, wherein the future distancing trend is a positive number.

[0154] In an embodiment, the distance between the future end point and the future nearest point is in a positive correlation with the future distancing trend, and the included angle between the first straight line direction and the nearest straight line direction is in a positive correlation with the future distancing trend.

[0155] In an embodiment, the second trend determining unit is further configured to:

[0156] when the position of the future end point is consistent with the position of the future nearest point, determine that the future distancing trend of the waste yarn ball relative to the doubling machine is zero.

[0157] In an embodiment, the second risk determining unit is specifically configured to:

[0158] correct the future waste yarn interference risk of the waste yarn ball to the doubling machine based on the future distancing trend of the waste yarn ball relative to the doubling machine.

[0159] In an embodiment, the first trend determining unit is specifically configured to:

[0160] determine a future waste yarn displacement direction based on a future start point and a future end point in the future moving trajectory;

[0161] determine a nearest straight line direction from the future nearest point to the elasticizer based on the future nearest point in the future moving track and position information of the elasticizer;

[0162] determine a future approaching trend of the waste yarn ball relative to the elasticizer based on an included angle between the future waste yarn displacement direction and the nearest straight line direction.

[0163] In an embodiment, the first trend determining unit is specifically configured to:

[0164] determine a tangent direction of the future nearest point in the future moving track based on a position of the future nearest point in the future moving track and a curvature of the future moving track;

[0165] determine a nearest straight line direction from the future nearest point to the elasticizer based on the future nearest point in the future moving track and position information of the elasticizer;

[0166] determine a future approaching trend of the waste yarn ball relative to the elasticizer based on an included angle between the tangent direction of the future nearest point in the future moving track and the nearest straight line direction.

[0167] In an embodiment, the device further comprises:

[0168] a sound collecting module configured to collect sound of current false twist work of the elasticizer to obtain false twist work sound of the elasticizer;

[0169] a gas flow determining module configured to determine false twist work gas flow of the elasticizer based on the false twist work sound.

[0170] In an embodiment, the gas flow determining module comprises:

[0171] a noise filtering unit configured to perform noise filtering on the false twist work sound;

[0172] a gas flow predicting unit configured to input the false twist work sound after noise filtering into a gas flow predicting model to obtain the false twist work gas flow output by the gas flow predicting model, wherein the false twist work gas flow comprises gas flow velocities of each position point near false twist fiber yarn of the elasticizer.

[0173] wherein the gas flow predicting model is a model trained by using a training sample set, and each training sample in the training sample set comprises a false twist work sound sample and a false twist work gas flow sample.

[0174] In an embodiment, the device further comprises:

[0175] The airflow simulation module is used to simulate the current false twist operation of the texturing machine based on the false twist working parameters of the texturing machine, as well as the diameter and surface roughness of the current false twist fiber yarn of the texturing machine, to obtain the false twist working airflow of the texturing machine.

[0176] In one embodiment, the above-mentioned device further includes:

[0177] The waste filament cleaning module is used to control the waste filament cleaning equipment to clean the waste filament around the texturing machine when the future interference risk of the waste filament clump to the texturing machine is greater than a preset risk threshold.

[0178] The acquisition, storage, and application of user personal information involved in the technical solution disclosed herein comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0179] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0180] Figure 6 This is a structural block diagram of an electronic device according to an embodiment of the present disclosure. Figure 6 As shown, the electronic device includes a memory 610 and a processor 620. The memory 610 stores a computer program that can run on the processor 620. There can be one or more memories 610 and processors 620. The memory 610 can store one or more computer programs, which, when executed by the electronic device, cause the electronic device to perform the methods provided in the above-described method embodiments. The electronic device may also include a communication interface 630 for communicating with external devices and performing data exchange and transmission.

[0181] If the memory 610, processor 620, and communication interface 630 are implemented independently, they can be interconnected via a bus to communicate with each other. This bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. This bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 6 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0182] Optionally, if the memory 610, the processor 620 and the communication interface 630 are integrated on a chip, the memory 610, the processor 620 and the communication interface 630 can complete the communication among each other through an internal interface.

[0183] It should be understood that the processor described above can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc. It should be noted that the processor can be a processor supporting an advanced RISC machine (ARM) architecture.

[0184] Further, the aforementioned memory can include a read-only memory and a random access memory, and can also include a non-volatile random access memory. The memory can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memory. The non-volatile memory can include a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically EPROM (EEPROM), or a flash memory. The volatile memory can include a random access memory (RAM) used as an external cache. By way of example, and not limitation, many forms of RAM can be used. For example, a static random access memory (SRAM), a dynamic random access memory (DRAM), a synchronous dynamic random access memory (SDRAM), a double data rate SDRAM (DDR SDRAM), an enhanced SDRAM (ESDRAM), a Synchlink DRAM (SLDRAM), and a direct Rambus RAM (DR RAM) can be used.

[0185] In the above embodiments, all or part of the steps can be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the steps can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present disclosure are generated. The computer can be a general purpose computer, a special purpose computer, a computer network or other programmable apparatus. The computer instructions can be stored in a computer readable storage medium or transferred from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be transferred from one website, computer, server or data center to another website, computer, server or data center through wired (for example: coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (for example: infrared, Bluetooth, microwave, etc.) mode. The computer readable storage medium can be any available medium accessible by a computer, or a data storage device such as a server, data center, etc. integrated with one or more available media. The available media can be a magnetic medium (for example: floppy disk, hard disk, magnetic tape), an optical medium (for example: digital versatile disc (DVD)) or a semiconductor medium (for example: solid state disk (SSD)) and the like. It is worth noting that the computer readable storage medium mentioned in the present disclosure can be a non-volatile storage medium, in other words, it can be a non-transitory storage medium.

[0186] A person of ordinary skill in the art can understand that all or part of the steps of the above embodiments can be completed by hardware, or the program can instruct the related hardware to complete, and the program can be stored in a computer readable storage medium. The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk.

[0187] In the description of the embodiments of the present disclosure, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. Moreover, the specific features, structures, materials or characteristics described can be combined in any suitable manner in any one or more embodiments or examples. In addition, those skilled in the art can combine and combine the different embodiments or examples described in the specification and the features of the different embodiments or examples without contradiction.

[0188] In the description of the embodiments of the present disclosure, unless otherwise specified, " / " means or, for example, A / B can mean A or B. "And / or" in this document only describes the relationship between associated objects, which means that there can be three relationships, for example, A and / or B, which can mean: A exists alone, A and B exist together, and B exists alone.

[0189] In the description of the embodiments of the present disclosure, the terms "first" and "second" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first" and "second" can explicitly or implicitly include one or more of the features. In the description of the embodiments of the present disclosure, unless otherwise specified, the meaning of "multiple" is two or more.

[0190] The above only describes exemplary embodiments of the present disclosure, and is not intended to limit the present disclosure. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A method for predicting the future waste wire interference risk of a texturing machine, characterized in that, include: Based on the image sequence of the false twist working environment of the texturing machine in the past first time period, the first volume change curve of the waste yarn ball in the surrounding environment of the texturing machine in the first time period is determined. Based on the first volume change curve of the waste filament during the first time period, predict the second volume change curve of the waste filament during the future second time period. Based on the second volume change curve of the waste filament ball during the second time period, the mass change curve and friction resistance change curve of the waste filament ball during the second time period are determined. Based on the mass change curve and friction resistance change curve of the waste yarn ball during the second time period, the attraction force of the false twist working airflow on the waste yarn ball is simulated by using the airflow velocity at each position point in the false twist working airflow of the texturing machine, so as to determine the future movement trajectory of the waste yarn ball during the second time period. Based on the future movement trajectory of the waste yarn clump in the first future time period, the risk of the waste yarn clump interfering with the future waste yarn of the texturing machine is determined.

2. The method according to claim 1, characterized in that, Based on the mass change curve and friction resistance change curve of the waste yarn ball during the second time period, the attractive force of the false-twisted working airflow on the waste yarn ball is simulated using the airflow velocity at various points in the false-twisted working airflow of the texturing machine, in order to determine the future movement trajectory of the waste yarn ball during the second time period, including: Based on the current position of the waste yarn clump in the surrounding environment of the texturing machine, the predicted trajectory point and predicted velocity of the waste yarn clump at the start time in the second time are determined; Starting from the initial moment, perform the following operations moment by moment: based on the airflow velocity at each position point in the false-twisted working airflow of the texturing machine, and the predicted trajectory point of the waste yarn ball at that moment, determine the attraction force of the false-twisted working airflow on the waste yarn ball at that moment; based on the attraction force of the false-twisted working airflow on the waste yarn ball at that moment, and the friction resistance at that moment in the friction force change curve, determine the resultant force on the waste yarn ball at that moment; based on the resultant force on the waste yarn ball at that moment, and the mass at that moment in the mass change curve, determine the predicted acceleration of the waste yarn ball at that moment; based on the predicted acceleration and predicted velocity of the waste yarn ball at that moment, determine the predicted trajectory point and predicted velocity of the waste yarn ball at the next moment. Based on the predicted trajectory points of the waste filament at each moment in the second time period, the future movement trajectory of the waste filament in the second time period is determined.

3. The method according to claim 1, characterized in that, The determination of the mass change curve and friction resistance change curve of the waste filament ball within the second time period based on the second volume change curve of the waste filament ball within the second time period includes: The average density of the waste yarn spool is based on the image sequence of the false twist working environment of the texturing machine in the past first time period; Based on the average density of the waste filament bundle and the second volume change curve of the waste filament bundle during the second time period, the mass change curve of the waste filament bundle during the second time period is determined. Based on the second volume change curve of the waste filament ball during the second time period and the friction coefficient of the support position where the waste filament ball is located, the friction resistance change curve of the waste filament ball during the second time period is determined.

4. The method according to claim 1, characterized in that, The determination of the future waste yarn interference risk of the waste yarn clump to the texturing machine based on the future movement trajectory of the waste yarn clump in the first future time period includes: Based on the directional relationship between the trajectory points in the future movement trajectory and the texturing machine, the future approach trend of the waste yarn ball relative to the texturing machine is determined; Based on the future approach trend of the waste yarn ball relative to the texturing machine, the risk of the waste yarn ball interfering with the future waste yarn of the texturing machine is determined; Based on the positional relationship between the future endpoint in the future movement trajectory and the future nearest point to the texturing machine, the future moving away trend of the waste yarn ball relative to the texturing machine is determined; Based on the future trend of the waste yarn ball moving away from the texturing machine, the risk of the waste yarn ball interfering with the future waste yarn of the texturing machine is corrected.

5. The method according to claim 4, characterized in that, Determining the future moving away trend of the waste yarn ball relative to the texturing machine based on the positional relationship between the future endpoint in the future movement trajectory and the future nearest point to the texturing machine includes: If the future endpoint and the future nearest point are not at the same position, the distance between the future endpoint and the future nearest point, the first straight-line direction from the future nearest point to the future endpoint, and the shortest straight-line direction from the future nearest point to the texturing machine are determined based on the future movement trajectory. Based on the distance between the future endpoint and the future nearest point, and the angle between the first straight line direction and the nearest straight line direction, the future moving away trend of the waste yarn ball relative to the texturing machine is determined, wherein the value of the future moving away trend is a positive number.

6. The method according to claim 5, characterized in that, The distance between the future endpoint and the future nearest point is positively correlated with the future moving away trend, and the angle between the first straight line direction and the nearest straight line direction is positively correlated with the future moving away trend.

7. The method according to claim 5, characterized in that, Also includes: If the future endpoint coincides with the future nearest point, the future moving away trend of the waste yarn ball relative to the texturing machine is determined to be zero.

8. The method according to claim 7, characterized in that, The method of correcting the risk of future waste yarn interference to the texturing machine based on the future moving away trend of the waste yarn ball relative to the texturing machine includes: Based on the future trend of the waste yarn clump moving away from the texturing machine, the risk of the waste yarn clump interfering with the future waste yarn of the texturing machine is reduced.

9. The method according to claim 4, characterized in that, Determining the future approach trend of the waste yarn ball relative to the texturing machine based on the directional relationship between trajectory points in the future movement trajectory and the texturing machine includes: Based on the future starting point and future ending point in the future movement trajectory, determine the future displacement direction of the waste filament; Based on the nearest future point to the loading machine in the future movement trajectory, and the position information of the loading machine, the shortest straight line direction from the nearest future point to the loading machine is determined; Based on the angle between the future waste filament displacement direction and the nearest straight line direction, the future approach trend of the waste filament ball relative to the texturing machine is determined.

10. The method according to claim 4, characterized in that, Determining the future approach trend of the waste yarn ball relative to the texturing machine based on the directional relationship between trajectory points in the future movement trajectory and the texturing machine includes: Based on the position and curvature of the nearest future point to the loading machine in the future movement trajectory, the tangent direction of the nearest future point in the future movement trajectory is determined. Based on the nearest future point to the loading machine in the future movement trajectory, and the position information of the loading machine, the shortest straight line direction from the nearest future point to the loading machine is determined; Based on the angle between the tangent direction of the future nearest point in the future movement trajectory and the direction of the nearest straight line, the future approach trend of the waste yarn ball relative to the texturing machine is determined.

11. The method according to claim 1, characterized in that, Also includes: The sound of the texturing machine's current false twist operation is collected to obtain the false twist operation sound of the texturing machine; Based on the false twist working sound, the false twist working airflow of the texturing machine is determined.

12. The method according to claim 11, characterized in that, Based on the false-twist working sound, the false-twist working airflow of the texturing machine is determined, including: The noise from the false twisting operation is filtered. The noise-filtered false twist working sound is input into the airflow prediction model to obtain the false twist working airflow output by the airflow prediction model, wherein the false twist working airflow includes the airflow velocity at various points near the false twist fiber thread of the texturing machine; The airflow prediction model is a model trained using a training sample set, where each training sample includes a false-twist working sound sample and a false-twist working airflow sample.

13. The method according to claim 1, characterized in that, Also includes: Based on the false twist working parameters of the texturing machine, as well as the diameter and surface roughness of the current false twist fiber yarn of the texturing machine, the current false twist operation of the texturing machine is simulated to obtain the false twist working airflow of the texturing machine.

14. The method according to any one of claims 1-13, characterized in that, Also includes: If the risk of future interference to the texturing machine from the waste filament clumps exceeds a preset risk threshold, the waste filament cleaning equipment is controlled to clean up the waste filaments in the surrounding environment of the texturing machine.

15. A device for predicting the future waste wire interference risk of a texturing machine, characterized in that, include: The first curve determination module is used to determine the first volume change curve of the waste yarn clump in the surrounding environment of the texturing machine during the first time period based on the image sequence of the false twist working environment of the texturing machine in the past first time period. The second curve determination module is used to predict the second volume change curve of the waste filament in the future second time period based on the first volume change curve of the waste filament in the first time period. The third curve determination module is used to determine the mass change curve and friction resistance change curve of the waste filament ball during the second time period based on the second volume change curve of the waste filament ball during the second time period. The trajectory prediction module is used to simulate the attraction of the false twist working airflow on the waste yarn ball based on the mass change curve and friction resistance change curve of the waste yarn ball during the second time period, and by using the airflow velocity at each position point in the false twist working airflow of the texturing machine, so as to determine the future movement trajectory of the waste yarn ball during the second time period. The interference risk determination module is used to determine the future interference risk of the waste yarn ball to the texturing machine based on the future movement trajectory of the waste yarn ball in the future first time period.

16. The apparatus according to claim 15, characterized in that, The trajectory prediction module includes: An initialization unit is used to determine the predicted trajectory point and predicted velocity of the waste filament at the start time in the second time period based on the current position of the waste filament in the surrounding environment of the texturing machine. The trajectory point prediction unit is configured to perform the following operations sequentially from the initial moment: based on the airflow velocity at each position point in the false-twisted working airflow of the texturing machine and the predicted trajectory point of the waste yarn ball at that moment, determine the attractive force of the false-twisted working airflow on the waste yarn ball at that moment; based on the attractive force of the false-twisted working airflow on the waste yarn ball at that moment and the friction resistance at that moment in the friction force change curve, determine the resultant force on the waste yarn ball at that moment; based on the resultant force on the waste yarn ball at that moment and the mass at that moment in the mass change curve, determine the predicted acceleration of the waste yarn ball at that moment; and based on the predicted acceleration and predicted velocity of the waste yarn ball at that moment, determine the predicted trajectory point and predicted velocity of the waste yarn ball at the next moment. The trajectory prediction unit is used to determine the future movement trajectory of the waste filament during the second time period based on the predicted trajectory points of the waste filament at each moment during the second time period.

17. An electronic device comprising: At least one processor; as well as A memory that is communicatively connected to the at least one processor; The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-14.

18. A non-transitory computer-readable storage medium storing computer instructions, wherein, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-14.

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