A method, device and system for detecting yarn breakage

Abstract

The present invention relates to the field of spinning detection technology, and in particular to a spinning break detection method, device and system. The method comprises: obtaining vibration data, spindle speed and temperature data of a spinning spindle at different times, and determining the stability of frequency change according to the frequency change; determining the lateral influence index and the longitudinal influence index according to the changes in the lateral and longitudinal amplitudes in different time periods and the spindle speed; performing weighted analysis based on the lateral influence index and the longitudinal influence index to obtain the amplitude change stability; determining the spindle vibration stability index in combination with the frequency change stability and the amplitude change stability; determining the spindle wear degree according to the spindle vibration stability index and the temperature data values ​​at all times; determining the normal speed range of the spinning spindle at the current moment according to the spindle wear degree, and determining the existence of spinning break when the spindle speed does not belong to the normal speed range. The present invention can enhance the accuracy of break detection.

Description

Technical Field

[0001] The invention relates to the technical field of spinning detection, and in particular to a spinning break detection method, device and system. Background Art

[0002] Spinning frame is a machine in the textile industry that spins roving or sliver into fine yarn. It is mainly composed of feeding mechanism, drafting mechanism, twisting and winding mechanism, etc. Its function is to draft, twist and wind the roving or sliver sent from the previous process through a series of processes, and finally make fine yarn products that meet the requirements. "Broken ends" is the phenomenon that the fine yarn breaks during the processing, which is a common defect fault.

[0003] End breakage will cause abnormal changes in the spindle speed that drives the yarn disturbance. Usually, speed sensors are installed around the spindles to obtain information on the spindle speed and set a warning speed range to determine whether there is an end breakage defect. However, the wear of the machine will cause the spindle speed to change. The performance of the spindle speed is uncertain at different wear stages. Setting only a fixed range to determine whether there is an end breakage will result in low reliability and accuracy in end breakage detection. Summary of the invention

[0004] In order to solve the technical problem in the related art that, due to the influence of wear, only a fixed range is set to determine whether there is a broken end, which leads to low reliability and accuracy of broken end detection, the present invention provides a spinning broken end detection method, device and system, and the technical scheme adopted is as follows:

[0005] The present invention provides a spinning end break detection method, the method comprising:

[0006] Periodically acquiring vibration data, spindle speed and temperature data of the spinning spindle at different times, and determining the stability of the frequency change of the vibration data according to the frequency change of the vibration data;

[0007] The vibration of the spinning spindle includes transverse vibration and longitudinal vibration, which are divided into different time periods according to the preset time length. According to the changes of the transverse and longitudinal amplitudes in different time periods and the spindle speed, the transverse influence index of the transverse vibration and the longitudinal influence index of the longitudinal vibration are determined;

[0008] At all times, the horizontal amplitude is weighted according to the horizontal influence index, and the vertical amplitude is weighted according to the vertical influence index. The weighted values ​​of all times are positively fused, negatively correlated and normalized to obtain the stability of amplitude change.

[0009] The stability of the frequency change and the stability of the amplitude change are forwardly integrated to determine the spindle vibration stability index; the spindle wear degree is determined according to the spindle vibration stability index and the temperature data values ​​at all times;

[0010] The normal rotation speed range of the spinning spindle at the current moment is determined according to the degree of wear of the spindle, and when the spindle rotation speed does not belong to the normal rotation speed range, it is determined that a spinning end breakage exists.

[0011] Further, determining the frequency change stability of the vibration data according to the frequency change of the vibration data includes:

[0012] Arrange the vibration frequencies at all times in time sequence to obtain a vibration frequency sequence;

[0013] Performing a first-order difference analysis on the frequency sequence to obtain first-order difference values ​​corresponding to two moments closest to each other;

[0014] The discreteness analysis is performed on all first-order difference values ​​to obtain the stability of frequency change.

[0015] Further, the determining of the lateral influence index of the lateral vibration and the longitudinal influence index of the longitudinal vibration according to the changes of the lateral and longitudinal amplitudes in different time periods and the spindle speed includes:

[0016] According to the changes of the transverse and longitudinal amplitudes in different time periods, the time period with the smallest transverse vibration influence and the time period with the smallest longitudinal vibration influence are determined respectively;

[0017] In the time period when the transverse vibration influence is the smallest, the longitudinal influence index is determined according to the correlation between the longitudinal amplitude and the spindle speed;

[0018] The lateral impact index is determined based on the correlation between the lateral amplitude and the spindle speed during the time period when the longitudinal vibration impact is minimal.

[0019] Furthermore, the method for obtaining the time period with the smallest influence of the lateral vibration and the time period with the smallest influence of the longitudinal vibration includes:

[0020] Determine the numerical variance and numerical mean of the horizontal amplitude, and the numerical variance and numerical mean of the vertical amplitude in each time period;

[0021] The difference between the numerical mean of the horizontal amplitude and the vertical amplitude in the same time period is normalized as the horizontal analysis index; the difference between the unit value 1 and the horizontal analysis index is used as the vertical analysis index;

[0022] The product of the numerical variance of the lateral amplitude in the same time period and the lateral analysis index is taken as the lateral vibration influence degree, and the time period with the smallest lateral vibration influence degree is taken as the time period with the smallest lateral vibration influence;

[0023] The product of the numerical variance of the longitudinal amplitude in the same time period and the longitudinal analysis index is taken as the longitudinal vibration influence degree, and the time period with the smallest longitudinal vibration influence degree is taken as the time period with the smallest longitudinal vibration influence.

[0024] Further, the determining of the longitudinal influence index according to the correlation between the longitudinal amplitude and the spindle speed includes:

[0025] The longitudinal correlation coefficient between the longitudinal amplitude and the spindle speed was calculated based on the Pearson correlation coefficient, and the absolute value of the longitudinal correlation coefficient was used as the longitudinal influence index.

[0026] Further, the determining of the lateral influence index according to the correlation between the lateral amplitude and the spindle speed includes:

[0027] The lateral correlation coefficient between the lateral amplitude and the spindle speed was calculated based on the Pearson correlation coefficient, and the absolute value of the lateral correlation coefficient was used as the lateral influence index.

[0028] Further, the spindle wear degree is determined according to the spindle vibration stability index and the temperature data values ​​at all times, including:

[0029] Calculate the mean of the temperature data at all times, perform maximum and minimum value normalization processing to obtain the temperature impact index;

[0030] The difference between the temperature variation discrete index and the spindle vibration stability index is normalized and used as the spindle wear degree.

[0031] Further, determining the normal rotation speed range of the spinning spindle at the current moment according to the wear degree of the spindle includes:

[0032] According to the numerical value of the spindle wear degree, it is divided into different wear levels, wherein when the spindle wear degree is in [0,0.3), it is in a light wear level, when the spindle wear degree is in [0.3,0.7), it is in a medium wear level, and when the spindle wear degree is in [0.7,1], it is in a heavy wear level; different preset normal speed ranges are configured for different wear levels.

[0033] On the other hand, a spinning end break detection device is also provided, the device comprising:

[0034] A spindle data acquisition module, used for periodically acquiring vibration data, spindle speed and temperature data of the spinning spindle at different times, and determining the stability of the frequency change of the vibration data according to the frequency change of the vibration data;

[0035] The impact analysis module is used for the vibration of the spinning spindle, including transverse vibration and longitudinal vibration, which are divided into different time periods according to the preset time length, and the transverse impact index of the transverse vibration and the longitudinal impact index of the longitudinal vibration are determined according to the changes of the transverse and longitudinal amplitudes in different time periods and the spindle speed;

[0036] The weighted integration module is used to weight the horizontal amplitude according to the horizontal influence index at all times, and weight the vertical amplitude according to the vertical influence index, positively fuse the weighted values ​​of all times, negatively map and normalize to obtain the stability of amplitude change;

[0037] The wear determination module is used to positively fuse the frequency change stability and the amplitude change stability to determine the spindle vibration stability index; and determine the spindle wear degree according to the spindle vibration stability index and the temperature data values ​​at all times;

[0038] The broken end judgment module is used to determine the normal rotation speed range of the spinning spindle at the current moment according to the degree of wear of the spindle, and determine that there is a spinning broken end when the spindle rotation speed does not belong to the normal rotation speed range.

[0039] On the other hand, a spinning break detection system is also provided, the system comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the steps of any of the aforementioned methods when executing the computer program.

[0040] The present invention has the following beneficial effects:

[0041] The present invention determines the wear condition of the spinning spindle by analyzing the temperature, rotation speed and vibration of the spinning spindle at the current moment, and then analyzes the current rotation state more objectively and accurately based on the wear condition, avoiding the use of a unified normal rotation speed range for spinning end break analysis, which causes wear to affect the end break analysis effect. The analysis of the wear state is obtained based on the change in vibration frequency, the change in vibration amplitude in different directions, and the numerical characteristics of temperature data, combined with the characteristics of multiple dimensions of the spinning spindle, to obtain a more accurate and objective wear analysis result. In summary, the present invention can provide more reliable analysis results for end break analysis in combination with the wear phenomenon of the spinning spindle itself, thereby enhancing the accuracy of end break detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 A flow chart of a spinning break detection method provided by one embodiment of the present invention;

[0044] Figure 2 A structural diagram of a spinning breakage detection device provided by one embodiment of the present invention;

[0045] Figure 3 A structural diagram of a spinning breakage detection system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0046] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of a spinning break detection method, device and system proposed by the present invention, its specific implementation, structure, features and effects in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0047] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0048] The following is an explanation of some of the professional terms used in the present invention:

[0049] The spinning spindle is a key component used in the textile industry for spinning. Its main function is to transform fibers into yarn. The yarn is wound onto the shaft on the spindle while the spindle rotates for subsequent processing and transportation. Modern spindles are usually equipped with speed regulating devices, which can adjust the speed according to different yarn requirements to ensure the uniformity and strength of the yarn.

[0050] The spinning frame is mainly composed of feeding mechanism, drafting mechanism, twisting and winding mechanism, etc. Its function is to draft, twist and wind the roving or sliver sent from the previous process through a series of process, and finally make the spun yarn products that meet the requirements.

[0051] "End breakage" is the phenomenon that the spun yarn breaks during the processing, which is a common defect failure.

[0052] The specific scheme of the spinning break detection method provided by the present invention is described in detail below with reference to the accompanying drawings.

[0053] See also Figure 1 , which shows a flow chart of a spinning break detection method provided by an embodiment of the present invention, the method comprising:

[0054] S101: periodically acquiring vibration data, spindle speed and temperature data of the spinning spindle at different times, and determining the stability of the frequency change of the vibration data according to the frequency change of the vibration data.

[0055] Among them, a vibration sensor and a temperature sensor can be installed around the spinning spindle, and the vibration sensor is used to collect vibration information of the spindle to obtain vibration data. The vibration data in the embodiment of the present invention mainly includes vibration amplitude and vibration frequency.

[0056] Among them, the temperature data mainly refers to the heat information generated by the high-speed rotation of the spinning spindle. The heat information is acquired through a temperature sensor and the temperature data is reflected in the form of a temperature value.

[0057] In the embodiment of the present invention, the vibration amplitude, vibration frequency and temperature value can be obtained once every 1 second, so as to obtain vibration data and temperature data. The specific time period can be a time period of 10 minutes before the current moment, so as to realize the subsequent analysis of the wear state at the current moment.

[0058] When yarn is entangled in the spinning machine, it will cause abnormal operation of the machine, affecting the vibration information and temperature data of the spinning spindle. Therefore, in order to analyze the accuracy of vibration information and temperature changes in the subsequent analysis, it is necessary to remove the abnormal data. The random isolation forest algorithm can be used to remove abnormal data, which is a technology well known to technicians in the field and is not limited to this.

[0059] The spindle speed is the rotation speed of the spinning spindle itself. End breakage will cause the spindle speed to change abnormally, which is usually achieved by installing speed sensors around the spinning spindles to obtain information about the spindle speed. The early warning speed range is set to determine whether there is an end breakage defect. However, the wear of the machine will cause the normal speed of the spinning spindle to change. The performance of the spindle speed at different wear stages is uncertain, and it is impossible to set a fixed range to determine whether there is an end breakage. Therefore, a specific analysis of the wear state is required.

[0060] In the process of wear status analysis, since the wear initially acts on the vibration of the spinning spindle itself, that is, after the wear occurs, the stable rotation of the spinning spindle will be destroyed, thereby causing changes in vibration. The stability analysis can be achieved through changes in vibration frequency.

[0061] It can be understood that the more discrete the vibration frequency is, the worse the corresponding overall stability is, while the more consistent the vibration frequency is and the more concentrated the values ​​are, the higher the overall stability is. Therefore, the stability characteristic index obtained by frequency analysis is characterized by the degree of frequency change stability.

[0062] Furthermore, in some embodiments of the present invention, the frequency change stability of the vibration data is determined based on the frequency change of the vibration data, including: arranging the vibration frequencies of all moments in time sequence to obtain a vibration frequency sequence; performing a first-order difference analysis on the vibration frequency sequence to obtain first-order difference values ​​corresponding to the two closest moments; and performing a discreteness analysis on all first-order difference values ​​to obtain the frequency change stability.

[0063] Among them, the frequency sequence is obtained according to the time sequence, which is used to characterize the frequency change within the cycle. Since in the actual spinning process, the vibration frequency of the spinning spindle can be an average increase, an average decrease, and a fixed speed, which is determined according to the operating state of the spinning frame, it is necessary to perform a first-order difference analysis on it to determine the uniform speed change.

[0064] Among them, the first-order difference value is the difference between the latter data and the previous data in the frequency sequence, which represents the change of vibration frequency at two adjacent moments. When the numerical change of the first-order difference value is small, it represents that the vibration frequency presents a uniform change. Therefore, the discreteness analysis is performed on all first-order difference values ​​to obtain the stability of frequency change.

[0065] The discreteness analysis in the embodiment of the present invention may specifically be to calculate the variance or standard deviation of all first-order difference values ​​to obtain a discrete coefficient, and to perform negative correlation mapping and normalization processing on the discrete coefficient to obtain the frequency change stability.

[0066] Among them, the negative correlation mapping is a numerical mapping relationship in which the dependent variable decreases as the independent variable increases. In the embodiment of the present invention, the dependent variable is the frequency change stability, and the independent variable is the discrete coefficient. Therefore, the opposite of the discrete coefficient can be directly calculated, and the maximum and minimum value normalization processing can be performed to realize the negative correlation mapping and normalization processing to obtain the frequency change stability. Alternatively, when the discrete coefficient is not 0, the inverse of the discrete coefficient can be calculated, and the frequency change stability can be obtained by normalization processing. There is no limitation on this.

[0067] S102: Divide the preset time length into different time periods, and determine a lateral influence index of the lateral vibration and a longitudinal influence index of the longitudinal vibration according to changes in the lateral and longitudinal amplitudes in different time periods and the spindle rotation speed.

[0068] The vibration of the spinning spindle includes lateral vibration and longitudinal vibration. It can be understood that the actual vibration direction is irregular. For the convenience of analysis, this scheme divides the vibration into two main directions, namely lateral and longitudinal. The longitudinal vibration is the up and down vibration effect in the vertical direction, and the lateral vibration is the left and right swinging vibration effect in the horizontal direction. The acquisition of lateral vibration and longitudinal vibration can be achieved through vibration sensors, which will not be elaborated here.

[0069] Among them, the preset time length is the time length when the corresponding time period is divided. In the embodiment of the present invention, the preset time length can be set to 1 minute. It should be noted that the time period is an overlapping time period, that is, taking the first moment of all moments as the starting point, the time period lasting 1 minute is taken as a time period, and then, taking the second moment as the starting point, the time period lasting 1 minute is taken as a time period, traversing all moments until the end moment of the time period is the last moment, and stopping to obtain different time periods, so as to facilitate the specific analysis of all the moments as a whole.

[0070] Among them, for each time period, it may be affected by two different vibrations, lateral and longitudinal. The impact of lateral vibration and longitudinal vibration may be different. Therefore, it is necessary to analyze the vibration impact in a single direction to determine the overall impact, that is, to determine the lateral impact index of lateral vibration and the longitudinal impact index of longitudinal vibration.

[0071] Furthermore, in some embodiments of the present invention, a lateral influence index of the lateral vibration and a longitudinal influence index of the longitudinal vibration are determined according to the changes in the lateral and longitudinal amplitudes in different time periods and the spindle speed, including: determining the time period with the smallest influence of the lateral vibration and the time period with the smallest influence of the longitudinal vibration according to the changes in the lateral and longitudinal amplitudes in different time periods; determining the longitudinal influence index according to the correlation between the longitudinal amplitude and the spindle speed within the time period with the smallest influence of the lateral vibration; determining the lateral influence index according to the correlation between the lateral amplitude and the spindle speed within the time period with the smallest influence of the longitudinal vibration.

[0072] Among them, it can be understood that the time period with the smallest impact of lateral vibration indicates that the lateral vibration change is the smallest. Similarly, the time period with the smallest longitudinal vibration indicates that the longitudinal vibration change is the smallest. Therefore, the vibration changes in different time periods can be specifically analyzed to determine the time period with the smallest impact of lateral vibration and the time period with the smallest impact of longitudinal vibration.

[0073] Furthermore, in some embodiments of the present invention, the numerical variance and numerical mean of the lateral amplitude, as well as the numerical variance and numerical mean of the longitudinal amplitude in each time period are determined; the difference between the numerical mean of the lateral amplitude and the longitudinal amplitude in the same time period is normalized and used as a lateral analysis index; the difference between the unit value 1 and the lateral analysis index is used as a longitudinal analysis index; the product of the numerical variance of the lateral amplitude in the same time period and the lateral analysis index is used as the degree of influence of the lateral vibration, and the time period with the smallest numerical value of the lateral vibration influence degree is used as the time period with the smallest lateral vibration influence; the product of the numerical variance of the longitudinal amplitude in the same time period and the longitudinal analysis index is used as the degree of influence of the longitudinal vibration, and the time period with the smallest numerical value of the longitudinal vibration influence degree is used as the time period with the smallest longitudinal vibration influence.

[0074] That is to say, the influence degree of lateral vibration is obtained by multiplying the numerical variance of the lateral amplitude by the lateral analysis index. Among them, the calculation process of the lateral analysis index can show that when the difference between the numerical mean of the lateral amplitude and the numerical mean of the longitudinal amplitude is larger, the value of the lateral analysis index is larger, indicating that the lateral amplitude is much larger than the longitudinal amplitude, that is, the influence of lateral vibration is much larger than that of longitudinal vibration.

[0075] It can be understood that, when the numerical variance is larger, the lateral vibration changes more, and when the numerical variance is smaller, the lateral vibration tends to be more stable.

[0076] Therefore, when the lateral vibration tends to be discrete and the amplitude of the lateral vibration is much greater than the amplitude of the longitudinal vibration, it can be said that the influence of the lateral vibration in this time period is greater. Therefore, in the embodiment of the present invention, the time period with the smallest value of the lateral vibration influence is taken as the time period with the smallest lateral vibration influence.

[0077] The calculation of the time period when the longitudinal vibration has the least influence is similar to the calculation of the time period when the lateral vibration has the least influence.

[0078] It should be noted that the time period with the smallest impact of lateral vibration and the time period with the smallest impact of longitudinal vibration may be the same time period, or may be different time periods. It is mainly to analyze the impact of the overall vibration. Then, the final impact characteristics can be determined based on the spindle speeds in the two time periods.

[0079] First, the final influencing characteristics of the longitudinal vibration are analyzed. Furthermore, in some embodiments of the present invention, the longitudinal influence index is determined according to the correlation between the longitudinal amplitude and the spindle speed, including: calculating the longitudinal correlation coefficient between the longitudinal amplitude and the spindle speed based on the Pearson correlation coefficient, and taking the absolute value of the longitudinal correlation coefficient as the longitudinal influence index.

[0080] Among them, the calculation method of the Pearson correlation coefficient is a calculation method well known in the art. The Pearson correlation coefficient obtained by calculation is the longitudinal correlation coefficient, and the value of the longitudinal correlation coefficient is [-1,1]. The closer the value of the longitudinal correlation coefficient is to 0, the less correlation it indicates, and the closer it is to 1 or -1, the stronger the correlation. The closer it is to 1, the higher the degree of positive correlation, and the closer it is to -1, the higher the degree of negative correlation. Therefore, the embodiment of the present invention calculates the absolute value of the longitudinal correlation coefficient as the longitudinal influence index, that is, the larger the value of the longitudinal influence index, the stronger the correlation of the longitudinal vibration to the spindle speed.

[0081] Furthermore, in some embodiments of the present invention, a lateral influence index is determined based on the correlation between the lateral amplitude and the spindle speed, including: calculating the lateral correlation coefficient between the lateral amplitude and the spindle speed based on the Pearson correlation coefficient, and using the absolute value of the lateral correlation coefficient as the lateral influence index.

[0082] In the embodiment of the present invention, the lateral influence index is similar to the longitudinal influence index, and is intended to analyze the correlation between the lateral vibration and the spindle rotation speed, which will not be described in detail.

[0083] S103: At all times, the horizontal amplitude is weighted according to the horizontal influence index, and the vertical amplitude is weighted according to the vertical influence index. The weighted values ​​at all times are positively integrated, negatively correlated and normalized to obtain the amplitude change stability.

[0084] In an embodiment of the present invention, the product of the longitudinal amplitude and the longitudinal influence index at the same moment can be used as the longitudinal weighted value, the product of the transverse amplitude and the transverse influence index can be used as the transverse weighted value, and the average of the longitudinal weighted value and the transverse weighted value can be calculated as the final amplitude adjustment value at that moment.

[0085] Then, the mean of the final amplitude adjustment values ​​at all times is calculated, which is the weighted value of all moments of forward fusion. The opposite of the mean is normalized as the stability of the amplitude change.

[0086] It can be understood that by weighting the vibration amplitude at each moment through the lateral influence index and the longitudinal influence index, it is possible to determine more accurate characteristics of the overall amplitude. The larger the value, the larger the amplitude, that is, the more unstable the amplitude change. Therefore, a negative correlation mapping is performed on it, and normalization is performed to obtain the stability of the amplitude change.

[0087] The fusion in the embodiment of the present invention is numerical fusion. The forward fusion in the embodiment of the present invention may specifically be, for example, averaging of numerical values, or may be multiplication of numerical values, and there is no limitation on this.

[0088] Among them, the negative correlation mapping is a mapping relationship in which the dependent variable decreases as the independent variable increases, that is, the larger the mean value of the weighted values ​​at all times, the smaller the corresponding amplitude change stability. In the embodiment of the present invention, the inverse of the mean of the weighted values ​​at all times can be calculated, and the maximum and minimum values ​​can be normalized to obtain the amplitude change stability.

[0089] S104: Forwardly fuse the frequency change stability and the amplitude change stability to determine the spindle vibration stability index; determine the spindle wear degree according to the spindle vibration stability index and the temperature data values ​​at all times.

[0090] Among them, the forward fusion of frequency change stability and amplitude change stability can be specifically, for example, to calculate the average of frequency change stability and amplitude change stability. Since the frequency change stability characterizes the stability of the vibration frequency, and the amplitude change stability characterizes the numerical characteristics of the vibration amplitude after adjustment, the data of the two dimensions of vibration frequency and vibration amplitude are integrated to obtain the spindle vibration stability index, which is the stability analysis of the corresponding spindle vibration. The stability analysis is mainly about the stability of the spinning spindle rotation in the current state, which is mainly affected by the wear of the spinning spindle. The wear state can be analyzed based on the spindle vibration stability index.

[0091] It is understandable that when wear occurs, the spinning spindle will produce irregular wear conditions, its stability will be greatly reduced, and the irregularity will cause more heat to be generated by various types of friction. Therefore, the specific calculation of the spindle wear degree can be achieved through the spindle vibration stability index and the temperature data values ​​at all times.

[0092] Furthermore, in some embodiments of the present invention, the degree of spindle wear is determined based on the spindle vibration stability index and the temperature data values ​​at all times, including: calculating the mean of the temperature data at all times, performing maximum and minimum value normalization processing to obtain a temperature influence index; and normalizing the difference between the temperature change discrete index and the spindle vibration stability index as the degree of spindle wear.

[0093] Among them, the larger the mean value of the temperature data at all times, the more heat is generated, that is, the greater the influence of wear, and the larger the value of the spindle vibration stability index, the more stable the vibration of the spinning spindle, that is, the less affected by wear. Based on this, in the embodiment of the present invention, the difference between the temperature change discrete index and the spindle vibration stability index is calculated, and the maximum and minimum values ​​are normalized as the spindle wear degree.

[0094] The degree of spindle wear directly represents the objective wear condition obtained by analyzing the characteristics of spindle speed, spindle vibration and spindle temperature at all times.

[0095] S105: determining the normal rotation speed range of the spinning spindle at the current moment according to the degree of spindle wear, and determining that a spinning end breakage exists when the spindle rotation speed does not belong to the normal rotation speed range.

[0096] Among them, it should be noted that when the spindle wears more seriously, the corresponding normal rotation speed will be affected, but it does not mean that there is a spinning end break. Therefore, it is necessary to classify and analyze whether the current spindle rotation speed is abnormal according to the different wear severity. When the spindle rotation speed is abnormal, it means that there is a high probability of spinning end breakage.

[0097] Furthermore, in some embodiments of the present invention, different wear levels are divided according to the numerical value of the spindle wear degree, wherein when the spindle wear degree is in [0, 0.3), it is in a light wear level, when the spindle wear degree is in [0.3, 0.7), it is in a medium wear level, and when the spindle wear degree is in [0.7, 1], it is in a heavy wear level; different preset normal speed ranges are configured for different wear levels.

[0098] That is, in the embodiment of the present invention, wear is divided into light wear level, medium wear level and heavy wear level. As the value of the spindle wear degree increases, the wear becomes more serious. For example, under normal wear-free conditions, the normal spindle speed of the spinning spindle is between 12,000 and 15,000 rpm. At the light wear level, the normal spindle speed is between 11,000 and 13,000 rpm. At the medium wear level, the normal spindle speed is between 10,000 and 12,000 rpm. At the heavy wear level, the normal spindle speed is between 8,000 and 10,000 rpm. It is adjusted according to the structure and power of the actual spinning frame, and this scheme does not impose any restrictions on this.

[0099] By determining the normal speed range under the wear condition, it is possible to more effectively and objectively judge whether there is spinning end breakage, that is, when the speed is not normal, there is a high probability of spinning end breakage. For example, under the light wear level, the normal spindle speed is between 11,000 and 13,000 revolutions per minute. When a spinning spindle is determined to be in a light wear state and its speed is at 8,000 revolutions per minute, it means that an abnormality has occurred during its operation, and the abnormality is most likely an end breakage abnormality.

[0100] The present invention determines the wear condition of the spinning spindle by analyzing the temperature, rotation speed and vibration of the spinning spindle at the current moment, and then analyzes the current rotation state more objectively and accurately based on the wear condition, avoiding the use of a unified normal rotation speed range for spinning end break analysis, which causes wear to affect the end break analysis effect. The analysis of the wear state is obtained based on the change in vibration frequency, the change in vibration amplitude in different directions, and the numerical characteristics of temperature data, combined with the characteristics of multiple dimensions of the spinning spindle, to obtain a more accurate and objective wear analysis result. In summary, the present invention can provide more reliable analysis results for end break analysis in combination with the wear phenomenon of the spinning spindle itself, thereby enhancing the accuracy of end break detection.

[0101] On the other hand, see Figure 2 , Figure 2 A structural diagram of a spinning break detection device provided by an embodiment of the present invention, the device comprises:

[0102] The spindle data acquisition module is used to periodically acquire the vibration data, spindle speed and temperature data of the spinning spindle at different times, and determine the stability of the frequency change of the vibration data according to the frequency change of the vibration data;

[0103] The impact analysis module is used for the vibration of the spinning spindle, including transverse vibration and longitudinal vibration, which are divided into different time periods according to the preset time length, and the transverse impact index of the transverse vibration and the longitudinal impact index of the longitudinal vibration are determined according to the changes of the transverse and longitudinal amplitudes in different time periods and the spindle speed;

[0104] The weighted integration module is used to weight the horizontal amplitude according to the horizontal influence index at all times, and weight the vertical amplitude according to the vertical influence index, positively fuse the weighted values ​​of all times, negatively map and normalize to obtain the stability of amplitude change;

[0105] The wear determination module is used to positively fuse the frequency change stability and the amplitude change stability to determine the spindle vibration stability index; the spindle wear degree is determined according to the spindle vibration stability index and the temperature data values ​​at all times;

[0106] The broken end judgment module is used to determine the normal speed range of the spinning spindle at the current moment according to the degree of spindle wear, and determine that there is a spinning broken end when the spindle speed does not belong to the normal speed range.

[0107] Further, determining the stability of the frequency change of the vibration data according to the frequency change of the vibration data includes:

[0108] Arrange the vibration frequencies at all times in time sequence to obtain a vibration frequency sequence;

[0109] Perform first-order difference analysis on the frequency sequence to obtain the first-order difference value corresponding to the two closest moments;

[0110] The discreteness analysis is performed on all first-order difference values ​​to obtain the stability of frequency change.

[0111] Furthermore, according to the changes of the transverse and longitudinal amplitudes in different time periods and the spindle speed, the transverse influence index of the transverse vibration and the longitudinal influence index of the longitudinal vibration are determined, including:

[0112] According to the changes of the transverse and longitudinal amplitudes in different time periods, the time period with the smallest transverse vibration influence and the time period with the smallest longitudinal vibration influence are determined respectively;

[0113] In the time period when the transverse vibration influence is the smallest, the longitudinal influence index is determined according to the correlation between the longitudinal amplitude and the spindle speed;

[0114] The lateral impact index is determined based on the correlation between the lateral amplitude and the spindle speed during the time period when the longitudinal vibration impact is minimal.

[0115] Furthermore, a method for obtaining the time period with the least influence of the lateral vibration and the time period with the least influence of the longitudinal vibration includes:

[0116] Determine the numerical variance and numerical mean of the horizontal amplitude, and the numerical variance and numerical mean of the vertical amplitude in each time period;

[0117] The difference between the numerical mean of the horizontal amplitude and the vertical amplitude in the same time period is normalized as the horizontal analysis index; the difference between the unit value 1 and the horizontal analysis index is used as the vertical analysis index;

[0118] The product of the numerical variance of the lateral amplitude and the lateral analysis index in the same time period is taken as the lateral vibration influence degree, and the time period with the smallest lateral vibration influence degree is taken as the time period with the smallest lateral vibration influence;

[0119] The product of the numerical variance of the longitudinal amplitude in the same time period and the longitudinal analysis index is taken as the influence degree of the longitudinal vibration, and the time period with the smallest numerical value of the influence degree of the longitudinal vibration is taken as the time period with the smallest influence of the longitudinal vibration.

[0120] Furthermore, the longitudinal impact index is determined according to the correlation between the longitudinal amplitude and the spindle speed, including:

[0121] The longitudinal correlation coefficient between the longitudinal amplitude and the spindle speed was calculated based on the Pearson correlation coefficient, and the absolute value of the longitudinal correlation coefficient was used as the longitudinal influence index.

[0122] Furthermore, the lateral impact index is determined according to the correlation between the lateral amplitude and the spindle speed, including:

[0123] The lateral correlation coefficient between the lateral amplitude and the spindle speed was calculated based on the Pearson correlation coefficient, and the absolute value of the lateral correlation coefficient was used as the lateral influence index.

[0124] Furthermore, the spindle wear degree is determined according to the spindle vibration stability index and the temperature data values ​​at all times, including:

[0125] Calculate the mean of the temperature data at all times, perform maximum and minimum value normalization processing to obtain the temperature impact index;

[0126] The difference between the temperature variation discrete index and the spindle vibration stability index is normalized and taken as the spindle wear degree.

[0127] Furthermore, the normal speed range of the spinning spindle at the current moment is determined according to the degree of spindle wear, including:

[0128] According to the numerical value of the spindle wear degree, it is divided into different wear levels, among which, when the spindle wear degree is [0,0.3), it is in the light wear level, when the spindle wear degree is [0.3,0.7), it is in the medium wear level, and when the spindle wear degree is [0.7,1], it is in the heavy wear level; different preset normal speed ranges are configured for different wear levels.

[0129] The specific implementation of the spinning end break detection device of the present invention is basically the same as the above-mentioned embodiments of the spinning end break detection method, and will not be repeated here.

[0130] On the other hand, the present invention also provides a spinning end break detection system, see Figure 3 , Figure 3 A structural diagram of a spinning break detection system provided for an embodiment of the present invention, the system 600 includes a memory 601, a processor 602, and a computer program 603 stored in the memory 601 and executable on the processor 602, and when the processor 602 executes the computer program 603, the steps of a spinning break detection method as described above are implemented.

[0131] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or devices. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0132] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0133] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A spinning end break detection method, characterized in that: include: Periodically obtain the vibration data, spindle speed and temperature data of the spinning spindle at different times, and determine the stability of the frequency change of the vibration data according to the frequency change of the vibration data; The vibration of the spinning spindle includes transverse vibration and longitudinal vibration, which are divided into different time periods according to the preset time length. According to the changes of the transverse and longitudinal amplitudes in different time periods and the spindle speed, the transverse influence index of the transverse vibration and the longitudinal influence index of the longitudinal vibration are determined; At all times, the horizontal amplitude is weighted according to the horizontal influence index, and the vertical amplitude is weighted according to the vertical influence index. The weighted values ​​of all times are positively fused, negatively correlated and normalized to obtain the stability of amplitude change. The stability of frequency change and amplitude change are forwardly integrated to determine the spindle vibration stability index; the spindle wear degree is determined based on the spindle vibration stability index and the temperature data values ​​at all times; Determine the normal speed range of the spinning spindle at the current moment according to the spindle wear degree, and determine that the spinning end breakage exists when the spindle speed does not belong to the normal speed range; Determine the extent of spindle wear, including: Calculate the mean of the temperature data at all times, perform maximum and minimum value normalization processing to obtain the temperature impact index; The difference between the temperature variation discrete index and the spindle vibration stability index is normalized and used as the spindle wear degree; According to the numerical value of spindle wear degree, it is divided into different wear levels, among which, when the spindle wear degree is [0,0.3), it is in the light wear level, when it is [0.3,0.7), it is in the medium wear level, and when it is [0.7,1], it is in the heavy wear level; different preset normal speed ranges are configured for different wear levels.

2. A spinning end break detection method as claimed in claim 1, characterized in that: Determine the stability of the frequency change of the vibration data according to the frequency change of the vibration data, including: Arrange the vibration frequencies at all times in time sequence to obtain a vibration frequency sequence; Performing a first-order difference analysis on the frequency sequence to obtain first-order difference values ​​corresponding to two moments closest to each other; The discreteness analysis is performed on all first-order difference values ​​to obtain the stability of frequency change.

3. A spinning end break detection method as claimed in claim 1, characterized in that: The method of determining the lateral influence index of the lateral vibration and the longitudinal influence index of the longitudinal vibration according to the changes of the lateral and longitudinal amplitudes in different time periods and the spindle speed comprises: According to the changes of the transverse and longitudinal amplitudes in different time periods, the time period with the smallest transverse vibration influence and the time period with the smallest longitudinal vibration influence are determined respectively; In the time period when the transverse vibration influence is the smallest, the longitudinal influence index is determined according to the correlation between the longitudinal amplitude and the spindle speed; The lateral impact index is determined based on the correlation between the lateral amplitude and the spindle speed during the time period when the longitudinal vibration impact is minimal.

4. A spinning end break detection method as claimed in claim 3, characterized in that: The method for obtaining the time period with the smallest transverse vibration influence and the time period with the smallest longitudinal vibration influence comprises: Determine the numerical variance and numerical mean of the horizontal amplitude, and the numerical variance and numerical mean of the vertical amplitude in each time period; The difference between the numerical mean of the horizontal amplitude and the vertical amplitude in the same time period is normalized as the horizontal analysis index; the difference between the unit value 1 and the horizontal analysis index is used as the vertical analysis index; The product of the numerical variance of the lateral amplitude in the same time period and the lateral analysis index is taken as the lateral vibration influence degree, and the time period with the smallest lateral vibration influence degree is taken as the time period with the smallest lateral vibration influence; The product of the numerical variance of the longitudinal amplitude in the same time period and the longitudinal analysis index is taken as the longitudinal vibration influence degree, and the time period with the smallest longitudinal vibration influence degree is taken as the time period with the smallest longitudinal vibration influence.

5. A spinning end break detection method as claimed in claim 3, characterized in that: Determining the longitudinal impact index according to the correlation between the longitudinal amplitude and the spindle speed includes: The longitudinal correlation coefficient between the longitudinal amplitude and the spindle speed was calculated based on the Pearson correlation coefficient, and the absolute value of the longitudinal correlation coefficient was used as the longitudinal influence index.

6. A spinning end break detection method as claimed in claim 3, characterized in that: Determining the lateral influence index according to the correlation between the lateral amplitude and the spindle speed includes: The lateral correlation coefficient between the lateral amplitude and the spindle speed was calculated based on the Pearson correlation coefficient, and the absolute value of the lateral correlation coefficient was used as the lateral influence index.

7. A spinning end break detection device, characterized in that: The device includes: A spindle data acquisition module, used for periodically acquiring vibration data, spindle speed and temperature data of the spinning spindle at different times, and determining the stability of the frequency change of the vibration data according to the frequency change of the vibration data; The impact analysis module is used for the vibration of the spinning spindle, including transverse vibration and longitudinal vibration, which are divided into different time periods according to the preset time length, and the transverse impact index of the transverse vibration and the longitudinal impact index of the longitudinal vibration are determined according to the changes of the transverse and longitudinal amplitudes in different time periods and the spindle speed; The weighted integration module is used to weight the horizontal amplitude according to the horizontal influence index at all times, and weight the vertical amplitude according to the vertical influence index, positively fuse the weighted values ​​of all times, negatively map and normalize to obtain the stability of amplitude change; The wear determination module is used to positively fuse the frequency change stability and the amplitude change stability to determine the spindle vibration stability index; and determine the spindle wear degree according to the spindle vibration stability index and the temperature data values ​​at all times; A broken end judgment module is used to determine the normal rotation speed range of the spinning spindle at the current moment according to the wear degree of the spindle, and determine that there is a spinning broken end when the spindle rotation speed does not belong to the normal rotation speed range; According to the spindle vibration stability index and the temperature data values ​​at all times, the spindle wear degree is determined, including: Calculate the mean of the temperature data at all times, perform maximum and minimum value normalization processing to obtain the temperature impact index; Normalizing the difference between the temperature variation discrete index and the spindle vibration stability index as the spindle wear degree; Determining the normal speed range of the spinning spindle at the current moment according to the spindle wear degree includes: According to the numerical value of the spindle wear degree, it is divided into different wear levels, wherein when the spindle wear degree is in [0,0.3), it is in a light wear level, when the spindle wear degree is in [0.3,0.7), it is in a medium wear level, and when the spindle wear degree is in [0.7,1], it is in a heavy wear level; different preset normal speed ranges are configured for different wear levels.

8. A spinning end break detection system, the system comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

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