Cotton yarn production thickness intelligent detection method

Abstract

The invention relates to the field of cotton yarn production detection, and particularly discloses a cotton yarn production thickness intelligent detection method, which comprises the following steps: acquiring the initial detection line diameter of each sampling position point of each sampling spun yarn, acquiring the temperature and humidity when a sensor detects the line diameter, judging whether the initial detection line diameter needs to be corrected or not, further analyzing the compensation amount of the initial detection line diameter, and correcting; the influence of environmental factors on the cotton yarn diameter measurement result is considered, and the cotton yarn diameter detection result is compensated, so that the accuracy of the cotton yarn diameter detection result is improved; according to the yarn diameter of each sampling position point of each sampled spun yarn, judging whether the yarn diameter of the current production batch of cotton yarn is qualified or not, if not, obtaining processing information of each technological process in the cotton yarn production process, identifying each abnormal technological process, and tracing the reason for the unqualified thickness of the yarn diameter of the cotton yarn. Problem diagnosis and timely adjustment of production procedures are facilitated, so that the product quality is guaranteed, and the production efficiency is improved.

Description

Technical Field

[0001] The invention relates to the field of cotton yarn production detection, and particularly to an intelligent detection method for the thickness of cotton yarn production. Background Art

[0002] In the cotton yarn production process, ensuring the stability of cotton yarn quality is crucial to improving textile quality and user satisfaction. Among them, the thickness of cotton yarn is one of the important factors affecting textile quality. Therefore, it is particularly important to conduct real-time and accurate detection of the thickness of cotton yarn in the production process.

[0003] However, the existing cotton yarn production detection methods still have some limitations and shortcomings in practical applications, especially in the detection of cotton yarn production thickness.

[0004] For example, the existing Chinese patent with publication number CN102507590A discloses a multifunctional integrated measuring and controlling instrument for detecting cotton yarn. The invention provides a multifunctional integrated measuring and controlling instrument for detecting cotton yarn, which has an ultraviolet transmitter and an ultraviolet receiver. The ultraviolet transmitter and the ultraviolet receiver are arranged on both sides of the cotton yarn. The ultraviolet receiver is connected to the input end of the amplifier circuit, the output end of the amplifier circuit is connected to the input end of the A / D converter, the output end of the A / D converter is connected to the input end of the control circuit, and the output end of the control circuit is connected to the shearing mechanism. The shearing mechanism can cut the cotton yarn according to the instruction issued by the control circuit and send a wiring request to the upper computer at the same time. The amplifier circuit, A / D converter and control circuit are all connected to the power supply. The invention uses ultraviolet sensors to detect and judge the wire diameter, impurities and colors of different cotton yarns, which can effectively reduce equipment costs and debugging workload, and improve equipment efficiency and product quality.

[0005] However, the above patent has the following problems: (1) when detecting the thickness of the cotton yarn, it does not take into account the possible impact of environmental factors on the cotton yarn diameter measurement results and further correct the cotton yarn diameter detection results, such as the temperature and humidity in the environment. Too high or too low temperature or too high or too low humidity will cause the cotton yarn diameter to change, thereby reducing the accuracy of the cotton yarn diameter detection results, which is prone to errors.

[0006] (2) When the cotton yarn diameter and thickness are not up to standard, no further traceability is carried out, such as analyzing which processes in the cotton yarn production process do not meet the requirements and cause the finished yarn thickness to not meet the standards. This is not conducive to problem diagnosis and timely adjustment of the production process, thus failing to guarantee product quality and resulting in low production efficiency. Summary of the invention

[0007] In view of the above problems, the present invention proposes an intelligent detection method for the thickness of cotton yarn production, and the specific technical scheme is as follows: An intelligent detection method for the thickness of cotton yarn production, comprising the following steps: Step 1, obtaining the preliminary detection result of the yarn diameter: Randomly sample the finished yarn produced in the production process of the current production batch of cotton yarn of the cotton yarn production enterprise, and further use sensors to detect the diameter of each sampling position point of each sampled finished yarn produced in the production process of the current production batch of cotton yarn, and record it as the initial measured diameter of each sampling position point of each sampled yarn.

[0008] Step 2, correction and judgment of the preliminary detection results of the yarn diameter: the temperature and humidity of each sampling position point of each sampled yarn are detected by the collection sensor, and it is determined whether the initial measured diameter of each sampling position point of each sampled yarn needs to be corrected, and each sampling position point of each sampled yarn whose initial measured diameter needs to be corrected is obtained, and it is recorded as each marked sampling position point of each marked sampled yarn.

[0009] Step 3, compensation and correction of the preliminary detection results of the yarn diameter: obtain the compensation amount of the initial measured wire diameter of each marked sampling position point of each marked sampled yarn, correct the initial measured wire diameter of each marked sampling position point of each marked sampled yarn, and further obtain the processed initial measured wire diameter of each sampling position point of each sampled yarn, and record it as the wire diameter of each sampling position point of each sampled yarn.

[0010] Step 4: Evaluation of cotton yarn production line diameter qualification index: According to the wire diameter of each sampling position of each sampled spun yarn, analyze the qualified index of the wire diameter of the cotton yarn of the current production batch to determine whether the wire diameter of the cotton yarn of the current production batch is qualified. If it is unqualified, execute step 5.

[0011] Step 5. Monitoring and analysis of cotton yarn production process: Obtain processing information of each process in the current production batch of cotton yarn production, where the process includes carding, drawing, and roving, and analyze the compliance coefficient of each process in the current production batch of cotton yarn production.

[0012] Step 6. Feedback on abnormal process flow in cotton yarn production: Based on the compliance coefficient of each process flow in the cotton yarn production process of the current production batch, obtain each abnormal process flow in the cotton yarn production process of the current production batch and provide feedback.

[0013] Compared with the prior art, the intelligent detection method for the thickness of cotton yarn production described in the present invention has the following beneficial effects: 1. The present invention obtains the initial measured wire diameter of each sampling position point of each sampled fine yarn, and obtains the temperature and humidity when the sensor detects the wire diameter, determines whether the initial measured wire diameter needs to be corrected, further analyzes the compensation amount of the initial measured wire diameter and performs correction, and obtains the processed wire diameter of each sampling position point of each sampled fine yarn, takes into account the influence of environmental factors on the cotton yarn wire diameter measurement result and compensates the cotton yarn wire diameter detection result, thereby improving the accuracy of the cotton yarn wire diameter detection result and reducing the measurement error.

[0014] 2. The present invention determines whether the wire diameter of the cotton yarn in the current production batch is qualified according to the wire diameter of each sampling position point of each sampled spun yarn. If it is unqualified, the processing information of each process flow in the cotton yarn production process is obtained, and each abnormal process flow in the cotton yarn production process is identified. The cause of the unqualified wire diameter of the cotton yarn can be traced, which is conducive to problem diagnosis and timely adjustment of the production process, thereby ensuring product quality, improving production efficiency, and reducing production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0016] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0017] Figure 2 It is a flow chart of the present invention.

[0018] Figure 3 It is a process flow chart of cotton yarn production of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] See also Figure 1 and Figure 2 As shown, the present invention provides an intelligent detection method for the thickness of cotton yarn production, comprising the following steps: Step 1, obtaining the preliminary detection result of the yarn diameter: randomly sampling the finished yarn produced in the production process of the current production batch of cotton yarn of the cotton yarn production enterprise, and further detecting the wire diameter of each sampling position point of each sampled finished yarn produced in the production process of the current production batch of cotton yarn by a sensor, and recording it as the initial measured wire diameter of each sampling position point of each sampled yarn.

[0021] As a preferred solution, the specific analysis process of step one is: setting a sampling time period, obtaining the finished yarn produced within the sampling time period in the production process of the current production batch of cotton yarn of the cotton yarn production enterprise, building a finished yarn sample library, setting the sampling quantity of the finished yarn, and randomly drawing a corresponding number of finished yarns from the finished yarn sample library, and recording them as the sampled finished yarns produced in the production process of the current production batch of cotton yarn.

[0022] The sampling distance is set, and each sampling position point is selected on each sampled finished yarn according to the principle of equal distance. The wire diameter of each sampling position point of each sampled finished yarn produced in the production process of the current production batch of cotton yarn is detected by the sensor, and it is recorded as the initial measured wire diameter of each sampling position point of each sampled yarn.

[0023] It should be noted that the finished spun yarn is the finished cotton yarn.

[0024] It should be noted that the sampling period refers to the time interval.

[0025] It should be noted that the sampling quantity of finished spun yarn refers to the number of roots or rolls of the finished spun yarn.

[0026] It should be noted that the sampling distance refers to the distance between adjacent sampling position points on the sampled finished yarn.

[0027] It should be noted that the sensors for detecting the diameter of the sampled finished spun yarn include but are not limited to: yarn fineness tester, ultraviolet sensor, laser displacement sensor, capacitive sensor, optical microscope combined with image processing technology, etc.

[0028] It should be noted that the sampled finished yarn is wound while measuring the wire diameter, that is, the sensor detects the wire diameter of each sampling position on the sampled finished yarn before winding. In a specific embodiment, according to the winding speed and sampling distance of the sampled finished yarn, the interval of sensor data collection is set to obtain the wire diameter of each sampling position on the sampled finished yarn.

[0029] Step 2, correction and judgment of the preliminary detection results of the yarn diameter: the temperature and humidity of each sampling position point of each sampled yarn are detected by the collection sensor, and it is determined whether the initial measured diameter of each sampling position point of each sampled yarn needs to be corrected, and each sampling position point of each sampled yarn whose initial measured diameter needs to be corrected is obtained, and it is recorded as each marked sampling position point of each marked sampled yarn.

[0030] As a preferred solution, the specific analysis process of step two is: using a temperature and humidity sensor to collect the temperature and humidity of each sampling position point of each sampled yarn, and extracting the suitable temperature range and suitable humidity range for cotton yarn production stored in the database. If the temperature and humidity of a sampling position point of a sampled yarn detected by the sensor are both within the corresponding suitable range, then the initial measured line diameter of the sampling position point of the sampled yarn does not need to be corrected, otherwise, it needs to be corrected, and the sampling position points of each sampled yarn whose initial measured line diameter needs to be corrected are counted and recorded as each marked sampling position point of each marked sampled yarn.

[0031] It should be noted that temperature changes may affect the physical properties of cotton yarn, such as thermal expansion and contraction. At different temperatures, the diameter of the cotton yarn may change slightly, thus affecting the accuracy of the thickness detection. For example, at higher temperatures, the cotton yarn may expand slightly, resulting in a thicker measurement result; while at lower temperatures, the cotton yarn may shrink and the measurement result may be thinner.

[0032] It should be noted that cotton yarn has a certain degree of hygroscopicity, and changes in environmental humidity will change the moisture content of cotton yarn. When cotton yarn absorbs water, it will become more fluffy and its diameter may increase, which will make the thickness test result coarse. On the contrary, in a dry environment, cotton yarn may lose moisture, become more compact, and its diameter decreases, so the test result may be thin.

[0033] Step 3, compensation and correction of the preliminary detection results of the yarn diameter: obtain the compensation amount of the initial measured wire diameter of each marked sampling position point of each marked sampled yarn, correct the initial measured wire diameter of each marked sampling position point of each marked sampled yarn, and further obtain the processed initial measured wire diameter of each sampling position point of each sampled yarn, and record it as the wire diameter of each sampling position point of each sampled yarn.

[0034] As a preferred solution, the specific analysis process of step three includes: according to the temperature and humidity when the sensor detects the wire diameter of each sampling position point of each sampled spun yarn, the temperature and humidity when the sensor detects the wire diameter of each marked sampling position point of each marked sampled spun yarn are screened and recorded as , Indicates The number of the sampled yarn is marked, , Indicates The number of the marked sampling location point, .

[0035] The suitable temperature range and humidity range for cotton yarn production stored in the database are recorded as .

[0036] By analyzing the formula Get the compensation amount based on temperature for the initial measured wire diameter of each marked sampling position point of each marked sampling yarn ,in It indicates the increase in the yarn diameter corresponding to the ambient temperature exceeding the upper limit of the suitable temperature range when the preset yarn diameter is detected. It indicates the amount of thinning of the yarn diameter corresponding to the unit volume when the ambient temperature is lower than the lower limit of the suitable temperature range when the preset fine yarn diameter is detected.

[0037] It should be noted that the above-mentioned increase in wire diameter refers to the absolute value of the difference between the wire diameter after the cotton yarn expands at high temperature and the actual wire diameter.

[0038] It should be noted that the thinning amount of the above-mentioned wire diameter refers to the absolute value of the difference between the wire diameter after the cotton yarn shrinks at low temperature and the actual wire diameter.

[0039] In a specific embodiment, the amount of thickening of the yarn diameter corresponding to the unit amount of the ambient temperature exceeding the upper limit of the suitable temperature range when the yarn diameter is detected is obtained. The specific method is: based on the single variable principle, the spun yarn is experimentally tested to obtain the amount of thickening of the yarn diameter under each fluctuation amount when the ambient temperature exceeds the upper limit of the suitable temperature range when the yarn diameter is detected, and the training set of the spun yarn diameter thickening prediction model under high temperature is obtained. Further, through the machine learning algorithm, the amount of thickening of the yarn diameter corresponding to the unit amount of the ambient temperature exceeding the upper limit of the suitable temperature range when the yarn diameter is detected is analyzed.

[0040] In another specific embodiment, based on the historical production data of cotton yarn, the increase in yarn diameter corresponding to the unit amount of ambient temperature exceeding the upper limit of the suitable temperature range when the yarn diameter is detected is analyzed.

[0041] It should be noted that the method of analyzing and detecting the thinning amount of the yarn diameter corresponding to the unit amount of ambient temperature below the lower limit of the suitable temperature range when the ambient temperature is lower than the lower limit of the suitable temperature range and the method of analyzing and detecting the thickening amount of the yarn diameter corresponding to the unit amount of ambient temperature exceeding the upper limit of the suitable temperature range when the yarn diameter is detected have the same principle.

[0042] By analyzing the formula Get the compensation amount based on humidity for the initial measured wire diameter of each marked sampling position point of each marked sampling yarn ,in It indicates the increase in the diameter of the yarn when the ambient humidity exceeds the upper limit of the suitable humidity range. It indicates the amount of thinning of the yarn diameter corresponding to the unit volume when the ambient humidity is lower than the lower limit of the suitable humidity range when the preset fine yarn diameter is detected.

[0043] It should be noted that the above-mentioned increase in wire diameter refers to the absolute value of the difference between the wire diameter after the cotton yarn is fluffed under high humidity and the actual wire diameter.

[0044] It should be noted that the thinning amount of the above-mentioned wire diameter refers to the absolute value of the difference between the wire diameter of the cotton yarn after being tightened under drying and the actual wire diameter.

[0045] In a specific embodiment, the amount of thickening of the yarn diameter corresponding to the unit amount of ambient humidity exceeding the upper limit of the suitable temperature range when the yarn diameter is detected is obtained. The specific method is: based on the single variable principle, the spun yarn is experimentally tested to obtain the amount of thickening of the yarn diameter under each fluctuation amount when the ambient humidity exceeds the upper limit of the suitable humidity range when the yarn diameter is detected, and the training set of the spun yarn diameter thickening prediction model under high humidity is obtained. Further, through the machine learning algorithm, the amount of thickening of the yarn diameter corresponding to the unit amount of ambient humidity exceeding the upper limit of the suitable humidity range when the yarn diameter is detected is analyzed.

[0046] In another specific embodiment, based on the historical production data of cotton yarn, the increase in yarn diameter corresponding to the unit amount of ambient humidity exceeding the upper limit of the suitable humidity range when the yarn diameter is analyzed and detected.

[0047] It should be noted that the method of analyzing and detecting the thinning amount of the yarn diameter corresponding to the unit amount of ambient humidity below the lower limit of the suitable humidity range when the yarn diameter is detected and the method of analyzing and detecting the thickening amount of the yarn diameter corresponding to the unit amount of ambient humidity exceeding the upper limit of the suitable humidity range when the yarn diameter is detected have the same principle.

[0048] As a preferred solution, the specific analysis process of step three also includes: the compensation amount based on the temperature of the initial measured wire diameter of each marked sampling position point of each marked sampling yarn and humidity-based compensation Substitute into the analysis formula Get the compensation amount of the initial measured wire diameter of each marked sampling position point of each marked sampling yarn .

[0049] The initial measured wire diameter of each marked sampling position point of each marked sampling yarn is added to the compensation amount of its initial measured wire diameter, and the initial measured wire diameter of each marked sampling position point of each marked sampling yarn is corrected, and the initial measured wire diameter of each sampling position point of each sampled yarn after processing is further obtained, and it is recorded as the wire diameter of each sampling position point of each sampled yarn.

[0050] In this embodiment, the present invention obtains the initially measured wire diameter of each sampling position point of each sampled spun yarn, and obtains the temperature and humidity when the sensor detects the wire diameter, determines whether the initially measured wire diameter needs to be corrected, further analyzes the compensation amount of the initially measured wire diameter and performs correction, and obtains the processed wire diameter of each sampling position point of each sampled spun yarn, takes into account the influence of environmental factors on the cotton yarn wire diameter measurement result and compensates the cotton yarn wire diameter detection result, thereby improving the accuracy of the cotton yarn wire diameter detection result and reducing the measurement error.

[0051] Step 4: Evaluation of cotton yarn production line diameter qualification index: According to the wire diameter of each sampling position of each sampled spun yarn, analyze the qualified index of the wire diameter of the cotton yarn of the current production batch to determine whether the wire diameter of the cotton yarn of the current production batch is qualified. If it is unqualified, execute step 5.

[0052] As a preferred solution, the specific analysis process of step 4 is: extract the standard wire diameter of the current production batch of cotton yarn stored in the database and record it as .

[0053] According to the wire diameter of each sampling position of each sampling yarn, the mean, mode and median corresponding to the wire diameter of each sampling position of each sampling yarn are calculated respectively, and they are recorded as , and calculate the standard deviation of the line diameter of each sampling position point of each sampled spun yarn, which is recorded as .

[0054] By analyzing the formula Get the qualified index of the cotton yarn diameter of the current production batch ,in Indicates the correction factor of the preset cotton yarn diameter qualification index of the current production batch, represents a natural constant, Indicates the preset yarn diameter deviation threshold, Indicates the preset standard deviation threshold.

[0055] It should be noted that the correction factor of the qualified index of the cotton yarn diameter of the current production batch plays the role of amplifying, reducing, rounding, etc. the qualified index of the cotton yarn diameter of the current production batch, which facilitates calculation.

[0056] In one specific embodiment, the cotton yarn diameter deviation range is -3% to +2%. In another specific embodiment, the cotton yarn diameter deviation range is ±0.5 count.

[0057] It should be noted that when analyzing the qualified index of the cotton yarn diameter of the current production batch, the qualified index of the finished spun yarn sample library is used as the qualified index of the cotton yarn diameter of the current production batch.

[0058] It should be noted that statistical analysis is performed on the test results of the finished yarn diameter, and parameters such as the mean value and standard deviation are calculated to evaluate the stability and consistency of the thickness of the cotton yarn production.

[0059] Step 5. Monitoring and analysis of cotton yarn production process: Obtain processing information of each process in the current production batch of cotton yarn production, where the process includes carding, drawing, and roving, and analyze the compliance coefficient of each process in the current production batch of cotton yarn production.

[0060] As a preferred option, see Figure 3As shown, the specific analysis process of step five includes: setting a monitoring time period for the combing process, and randomly extracting a set number of cotton slivers of a set length from the cotton slivers produced by the combing process within the monitoring time period in the production process of the current production batch of cotton yarn according to a preset principle, to obtain sample cotton slivers of the combing process.

[0061] The length, fineness and maturity of a set number of fibers in each sample sliver of the combing process are detected, and the average fiber length, fiber length variation coefficient, average fiber fineness and average fiber maturity of each sample sliver of the combing process are further obtained. The fiber length variation coefficient of each sample sliver of the combing process is substituted into the preset relationship function between the fiber length variation coefficient and fiber uniformity to obtain the fiber uniformity of each sample sliver of the combing process.

[0062] Test the impurity content and short fiber content of each sample sliver in the carding process.

[0063] The relationship function between the average fiber length, fiber uniformity, average fiber fineness, average fiber maturity, impurity content and short fiber content of cotton slivers and the conformity coefficient of cotton slivers is set, the conformity coefficient of each sample cotton sliver of the combing process is analyzed, and the average value is calculated to obtain the conformity coefficient of the combing process in the production process of cotton yarn in the current production batch.

[0064] It should be noted that the fiber length was measured using a fiber length analyzer.

[0065] It should be noted that the coefficient of variation of fiber length is an important indicator to measure the uniformity of fiber length. The calculation formula is as follows: coefficient of variation = (standard deviation of fiber length / average value of fiber length) × 100%.

[0066] It should be noted that the smaller the fiber length variation coefficient is, the higher the fiber uniformity is.

[0067] It should be noted that the fineness of the fiber is detected by air flow method, mid-section weighing method, etc.

[0068] It should be noted that the maturity can be judged by observing the morphological structure of the fiber under a microscope and evaluating indicators such as cell wall thickness and lumen size. Chemical methods, such as sodium hydroxide scouring, can also be used to determine the maturity based on the weight loss of the fiber.

[0069] It should be noted that the impurity content of the slivers is detected by using an impurity analyzer or manual sorting.

[0070] It should be noted that the lint content in the sliver can be determined by measuring the length distribution of fibers in the sliver using a lint analyzer. It can also be measured indirectly by an airflow method or a weight method.

[0071] It should be noted that fiber length has an important effect on the strength and uniformity of the yarn. Longer fibers provide better yarn strength and are easier to keep in neat alignment during the spinning process.

[0072] It should be noted that fiber uniformity reflects the consistency of fiber length. Higher uniformity can make the yarn more uniform, reduce the unevenness of thickness, and improve the quality of the yarn.

[0073] It should be noted that fiber fineness determines the softness, luster and spinnability of the yarn. Finer fibers can produce softer and smoother yarns.

[0074] It should be noted that maturity reflects the growth and development of the fiber. Fibers with high maturity have better strength and elasticity and are not easy to break during the spinning process.

[0075] It should be noted that impurities will affect the quality and appearance of the yarn and reduce the strength and uniformity of the yarn.

[0076] It should be noted that short fibers refer to fibers whose length is less than a certain value. Too high a short fiber content will affect the strength and evenness of the yarn and increase the breakage rate during the spinning process.

[0077] As a preferred scheme, the specific analysis process of step five also includes: setting a monitoring time period of the drawing process, and randomly extracting a set number of fiber strips of a set length from the fiber strips produced by the drawing process within the monitoring time period in the production process of the current production batch of cotton yarn according to preset principles, to obtain sample fiber strips of the drawing process.

[0078] The fiber strips of each sample in the drawing process are tested for uniformity, weight unevenness, fiber straightness, fiber parallelism, impurity content, and defect content.

[0079] The relationship function between the fiber strip uniformity, weight unevenness, fiber straightness, fiber parallelism, impurity content, defect content and the fiber strip conformity coefficient is set, the conformity coefficient of each sample fiber strip in the drawing process is analyzed, and the average value is calculated to obtain the conformity coefficient of the drawing process in the cotton yarn production process of the current production batch.

[0080] It should be noted that the strip uniformity of the fiber strip is tested by a strip uniformity tester, which measures the diameter change of the fiber strip within a certain length range and calculates parameters such as the strip unevenness rate.

[0081] It should be noted that a fiber strip of a certain length is weighed by an electronic scale or an automatic weighing device, and then the weight unevenness is calculated.

[0082] It should be noted that the fiber morphology in the fiber strip can be observed under a microscope to evaluate its straightness and parallelism. Equipment such as a fiber length analyzer can also be used to measure the length distribution and orientation angle of the fibers in the fiber strip, which indirectly reflects the straightness and parallelism.

[0083] It should be noted that the impurity and defect content of the fiber strips can be detected by manual inspection or automatic inspection equipment.

[0084] It should be noted that the uniformity of the fiber strips reflects the uniformity of the thickness of the fiber strips in the length direction. Fiber strips with good uniformity are less likely to have problems such as uneven thickness and defects during subsequent processing and use, which can improve the appearance quality and performance of the fabric.

[0085] It should be noted that the weight unevenness indicates the degree of weight deviation per unit length of the fiber strip, which directly affects the fineness of the fiber strip and the grammage control of the fabric.

[0086] It should be noted that the fibers should be straightened and arranged in parallel as much as possible during the drawing process to improve the strength and uniformity of the fiber strips. Fiber strips with good straightness and parallelism can better withstand tension during the spinning process, reduce the breakage rate, and also help improve the appearance quality of the yarn.

[0087] It should be noted that although the drawing process can remove some impurities and defects, there may still be a small amount of impurities and defects, which will affect the quality and appearance of the yarn, and even cause yarn breakage or damage to equipment during subsequent processing.

[0088] As a preferred scheme, the specific analysis process of step five also includes: setting a monitoring time period of the roving process flow, and randomly extracting a set number of rovings of a set length from the rovings produced by the roving process flow within the monitoring time period in the production process of the current production batch of cotton yarn according to a preset principle to obtain sample rovings of the roving process flow.

[0089] The roving sample of the roving process is tested for roving basis weight, evenness, twist, elongation, impurity content and defect content.

[0090] The relationship function between the roving quantity, yarn uniformity, twist, elongation, impurity content and defect content of the roving and the compliance coefficient of the roving is set, the compliance coefficient of each sample roving in the roving process flow is analyzed, and the average value is calculated to obtain the compliance coefficient of the roving process flow in the cotton yarn production process of the current production batch.

[0091] It should be noted that when testing the quantitative amount of roving, an electronic balance is used to weigh a certain length of roving to calculate its weight per unit length.

[0092] It should be noted that the strip uniformity tester can be used to detect the strip uniformity of the roving, measure the diameter change of the roving, and calculate the strip unevenness rate.

[0093] It should be noted that the twist of roving can be measured using a twist tester.

[0094] It should be noted that the roving is subjected to a tensile test by a tensile testing machine to measure its elongation under a certain tensile force and calculate the elongation.

[0095] It should be noted that the impurity and defect content of the sample roving can be detected by manual inspection or automatic testing equipment.

[0096] It should be noted that the roving quantity determines the thickness of the final yarn. Accurately controlling the roving quantity is crucial to ensuring the quality of the yarn and the smooth progress of subsequent processing.

[0097] It should be noted that the yarn evenness reflects the uniformity of the thickness of the roving in the length direction. Good yarn evenness helps to improve the quality of the yarn and the appearance of the fabric.

[0098] It should be noted that twist refers to the number of twists of yarn per unit length. Appropriate twist can increase the strength and wear resistance of the yarn, and also affect the softness and gloss of the yarn.

[0099] It should be noted that the elongation reflects the deformation ability of the roving during the stretching process. The appropriate elongation can ensure that the roving is not easy to break during the subsequent processing, and also affects the elasticity and feel of the yarn.

[0100] It should be noted that impurities and defects will affect the quality of the roving and subsequent processing.

[0101] Step 6. Feedback on abnormal process flow in cotton yarn production: Based on the compliance coefficient of each process flow in the cotton yarn production process of the current production batch, obtain each abnormal process flow in the cotton yarn production process of the current production batch and provide feedback.

[0102] As a preferred solution, the specific analysis process of step six is: compare the compliance coefficient of each process flow in the production process of the current production batch of cotton yarn with its corresponding set compliance coefficient threshold; if the compliance coefficient of a process flow is less than its corresponding compliance coefficient threshold, then the process flow is recorded as an abnormal process flow; statistics are collected on the abnormal process flows in the production process of the current production batch of cotton yarn, and feedback is given to the production management department of the cotton yarn production enterprise.

[0103] In this embodiment, the present invention determines whether the wire diameter of the cotton yarn in the current production batch is qualified according to the wire diameter of each sampling position point of each sampled spun yarn. If it is unqualified, the processing information of each process flow in the cotton yarn production process is obtained, and each abnormal process flow in the cotton yarn production process is identified. The reason for the unqualified wire diameter of the cotton yarn can be traced, which is conducive to problem diagnosis and timely adjustment of the production process, thereby ensuring product quality, improving production efficiency, and reducing production costs.

[0104] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An intelligent method for detecting the thickness of cotton yarn, characterized in that: The steps include: Step 1: Obtaining preliminary test results of yarn diameter: Randomly sample the finished yarn produced in the current production batch of cotton yarn produced by the cotton yarn production enterprise, and further detect the wire diameter of each sampling position point of each sampled finished yarn produced in the current production batch of cotton yarn through a sensor, and record it as the initial measured wire diameter of each sampling position point of each sampled yarn; Step 2, correction and judgment of the preliminary detection result of the yarn diameter: the temperature and humidity of each sampling position point of each sampled yarn are detected by the acquisition sensor, and it is judged whether the initial measured diameter of each sampling position point of each sampled yarn needs to be corrected, and each sampling position point of each sampled yarn whose initial measured diameter needs to be corrected is obtained, and it is recorded as each marked sampling position point of each marked sampled yarn; Step 3, compensation and correction of the preliminary detection result of the yarn diameter: obtain the compensation amount of the initial measured wire diameter of each marked sampling position point of each marked sampling yarn, correct the initial measured wire diameter of each marked sampling position point of each marked sampling yarn, further obtain the processed initial measured wire diameter of each sampling position point of each sampled yarn, and record it as the wire diameter of each sampling position point of each sampled yarn; Step 4: Evaluation of the qualified index of the cotton yarn production line diameter: According to the diameter of each sampling position of each sampled spun yarn, the qualified index of the cotton yarn diameter of the current production batch is analyzed to determine whether the cotton yarn diameter of the current production batch is qualified. If it is unqualified, execute step 5; Step 5. Monitoring and analysis of cotton yarn production process: obtain the processing information of each process in the current production batch of cotton yarn production, where the process includes carding, drawing, and roving, and analyze the compliance coefficient of each process in the current production batch of cotton yarn production; Step 6. Feedback on abnormal process flow in cotton yarn production: Based on the compliance coefficient of each process flow in the cotton yarn production process of the current production batch, obtain each abnormal process flow in the cotton yarn production process of the current production batch and provide feedback.

2. The method for intelligently detecting the thickness of cotton yarn according to claim 1, characterized in that: The specific analysis process of step 1 is as follows: Set a sampling time period, obtain the finished spun yarn produced within the sampling time period in the cotton yarn production process of the current production batch of cotton yarn production enterprises, build a finished spun yarn sample library, set the sampling quantity of finished spun yarn, randomly select a corresponding number of finished spun yarns from the finished spun yarn sample library, and record them as the sampled finished spun yarns produced in the production process of the current production batch of cotton yarn; The sampling distance is set, and each sampling position point is selected on each sampled finished yarn according to the principle of equal distance. The wire diameter of each sampling position point of each sampled finished yarn produced in the production process of the current production batch of cotton yarn is detected by the sensor, and it is recorded as the initial measured wire diameter of each sampling position point of each sampled yarn.

3. The method for intelligently detecting the thickness of cotton yarn according to claim 1, characterized in that: The specific analysis process of step 2 is as follows: The temperature and humidity of each sampling position point of each sampled yarn are collected by the temperature and humidity sensor, and the suitable temperature range and humidity range of cotton yarn production stored in the database are extracted. If the temperature and humidity of the line diameter of a certain sampling position point of a sampled yarn detected by the sensor are both within the corresponding suitable range, then the initial measured line diameter of the sampling position point of the sampled yarn does not need to be corrected, otherwise, it needs to be corrected. The sampling positions of each sampled yarn whose initial measured line diameter needs to be corrected are counted and recorded as the marked sampling positions of each marked sampled yarn.

4. The method for intelligently detecting the thickness of cotton yarn according to claim 1, characterized in that: The specific analysis process of step three includes: According to the temperature and humidity when the sensor detects the wire diameter of each sampling position point of each sampled spun yarn, the temperature and humidity when the sensor detects the wire diameter of each marked sampling position point of each marked sampled spun yarn are screened and recorded as , Indicates The number of the sampled yarn is marked, , Indicates The number of the marked sampling location point, ; The suitable temperature range and humidity range for cotton yarn production stored in the database are recorded as ; By analyzing the formula Get the compensation amount based on temperature for the initial measured wire diameter of each marked sampling position point of each marked sampling yarn ,in It indicates the increase in the yarn diameter corresponding to the ambient temperature exceeding the upper limit of the suitable temperature range when the preset yarn diameter is detected. Indicates the amount of thinning of the yarn diameter corresponding to the unit volume when the ambient temperature is lower than the lower limit of the suitable temperature range when the preset yarn diameter is detected; By analyzing the formula Get the compensation amount based on humidity for the initial measured wire diameter of each marked sampling position point of each marked sampling yarn ,in It indicates the increase in the diameter of the yarn when the ambient humidity exceeds the upper limit of the suitable humidity range. It indicates the amount of thinning of the yarn diameter corresponding to the unit volume when the ambient humidity is lower than the lower limit of the suitable humidity range when the preset fine yarn diameter is detected.

5. The method for intelligently detecting the thickness of cotton yarn according to claim 4, characterized in that: The specific analysis process of step three also includes: The compensation amount of the initial measurement of the wire diameter of each marked sampling position point of each marked sampling yarn is based on the temperature and humidity-based compensation Substitute into the analysis formula Get the compensation amount of the initial measured wire diameter of each marked sampling position point of each marked sampling yarn ; The initial measured wire diameter of each marked sampling position point of each marked sampling yarn is added to the compensation amount of its initial measured wire diameter, and the initial measured wire diameter of each marked sampling position point of each marked sampling yarn is corrected, and the initial measured wire diameter of each sampling position point of each sampled yarn after processing is further obtained, and it is recorded as the wire diameter of each sampling position point of each sampled yarn.

6. The method for intelligently detecting the thickness of cotton yarn according to claim 1, characterized in that: The specific analysis process of step 4 is as follows: Extract the standard diameter of the cotton yarn of the current production batch stored in the database and record it as ; According to the wire diameter of each sampling position of each sampling yarn, the mean, mode and median corresponding to the wire diameter of each sampling position of each sampling yarn are calculated respectively, and they are recorded as , and calculate the standard deviation of the line diameter of each sampling position point of each sampled spun yarn, and record it as ; By analyzing the formula Get the qualified index of the cotton yarn diameter of the current production batch ,in Indicates the correction factor of the preset cotton yarn diameter qualification index of the current production batch, represents a natural constant, Indicates the preset yarn diameter deviation threshold, Indicates the preset standard deviation threshold.

7. The method for intelligently detecting the thickness of cotton yarn according to claim 1, characterized in that: The specific analysis process of step 5 includes: A monitoring time period of the combing process is set, and according to a preset principle, a set number of slivers of a set length are randomly selected from the slivers produced by the combing process during the monitoring time period in the production process of the current production batch of cotton yarn, to obtain sample slivers of the combing process; Detecting the length, fineness and maturity of a set number of fibers in each sample sliver of the combing process, further obtaining the average fiber length, fiber length variation coefficient, average fiber fineness and average fiber maturity of each sample sliver of the combing process, substituting the fiber length variation coefficient of each sample sliver of the combing process into a preset relationship function between the fiber length variation coefficient and fiber uniformity, and obtaining the fiber uniformity of each sample sliver of the combing process; Detect the impurity content and short fiber content of each sample of cotton strips in the carding process; The relationship function between the average fiber length, fiber uniformity, average fiber fineness, average fiber maturity, impurity content and short fiber content of cotton slivers and the conformity coefficient of cotton slivers is set, the conformity coefficient of each sample cotton sliver of the combing process is analyzed, and the average value is calculated to obtain the conformity coefficient of the combing process in the production process of cotton yarn in the current production batch.

8. The method for intelligently detecting the thickness of cotton yarn according to claim 1, characterized in that: The specific analysis process of step 5 also includes: A monitoring time period of the drawing process is set, and according to a preset principle, a set number of fiber strips of a set length are randomly selected from the fiber strips produced by the drawing process during the monitoring time period in the production process of the current production batch of cotton yarn, to obtain each sample fiber strip of the drawing process; Test the fiber strip uniformity, weight unevenness, fiber straightness, fiber parallelism, impurity content, and defect content of each sample fiber strip in the drawing process; The relationship function between the fiber strip uniformity, weight unevenness, fiber straightness, fiber parallelism, impurity content, defect content and the fiber strip conformity coefficient is set, the conformity coefficient of each sample fiber strip in the drawing process is analyzed, and the average value is calculated to obtain the conformity coefficient of the drawing process in the cotton yarn production process of the current production batch.

9. The method for intelligently detecting the thickness of cotton yarn according to claim 1, characterized in that: The specific analysis process of step 5 also includes: A monitoring time period of the roving process is set, and a set number of rovings of a set length are randomly selected from the rovings produced by the roving process within the monitoring time period in the production process of the cotton yarn of the current production batch according to a preset principle to obtain each sample roving of the roving process; Detect the roving quantity, evenness, twist, elongation, impurity content and defect content of each sample roving in the roving process; The relationship function between the roving quantity, yarn uniformity, twist, elongation, impurity content and defect content of the roving and the compliance coefficient of the roving is set, the compliance coefficient of each sample roving in the roving process flow is analyzed, and the average value is calculated to obtain the compliance coefficient of the roving process flow in the cotton yarn production process of the current production batch.

10. The method for intelligently detecting the thickness of cotton yarn according to claim 1, characterized in that: The specific analysis process of step six is ​​as follows: The compliance coefficient of each process in the production process of the cotton yarn of the current production batch is compared with the corresponding set compliance coefficient threshold. If the compliance coefficient of a process is less than the corresponding compliance coefficient threshold, the process is recorded as an abnormal process. The abnormal process in the production process of the cotton yarn of the current production batch is counted and fed back to the production management department of the cotton yarn production enterprise.

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