Ring spindle intelligent spinning management system and management method

Abstract

The invention discloses an intelligent ring spinning management system and management method, and relates to the technical field of spinning management, the intelligent management of an intelligent ring spinning machine is realized by integrating the acquisition and processing of raw material information, production information and yarn information and analyzing the operation data of each link; the system can obtain information of spinning raw materials and evaluate the quality coefficient of the spinning raw materials to judge whether the spinning raw materials meet the spinning standard or not, so that the accuracy and reliability of the spinning process are guaranteed, and the system evaluates the operation safety coefficient of each link by obtaining operation data of the intelligent ring spinning machine in the drafting stage and the twisting stage. According to the system, the yarn can be classified, so that possible problems can be found and solved in time, equipment faults and production accidents are prevented, the system can also perform grade division on the yarn and reasonably classify the yarn according to the quality coefficient of each roll of yarn, and the spinning quality and efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of spinning management, and in particular to a ring spindle intelligent spinning management system and a management method. Background Art

[0002] As consumers' requirements for textile quality continue to increase, the stability and consistency of yarn quality have become key. Traditional spinning management methods make it difficult to accurately control various parameters in the spinning process, resulting in fluctuations in yarn diameter, strength, evenness, hairiness, etc., which cannot meet the needs of high-end textile products. When problems arise in yarn quality, it is difficult to find the specific cause of the problem in time and make timely adjustments to save losses. Therefore, it is particularly important to invent a ring spindle intelligent spinning management system and management method.

[0003] Prior art, such as the ring spindle intelligent spinning management system and management method disclosed in the invention application patent with announcement number: CN107422714A, belongs to the field of spinning management system, and the technical problem to be solved is how to monitor and manage the spinning process, workshop equipment and spinning products in real time; its structure includes a data acquisition unit, a bottom transmission unit, a collection server, an application server, an upper transmission unit, a power supply unit and a monitoring unit; the data acquisition unit includes a plurality of sensor control units, each sensor control unit corresponds to a workshop equipment, and the sensor control unit is used to collect the equipment data of the corresponding workshop equipment and control the corresponding workshop equipment; the collection server can archive and store the above equipment data; the application server can count, analyze and calculate the above equipment data, and generate a data table, the monitoring unit can display the above equipment data and data table, and can cooperate with the application server to generate planning information. Its method is to monitor and manage the spinning process through the ring spindle intelligent spinning management system.

[0004] The existing technology also has the following defects, which are specifically reflected in: 1. The existing technology focuses on random sampling of yarns. If the yarn quality is unqualified, it is difficult to determine whether the problem is caused by the drafting stage, twisting stage or other processes in the spinning process. Since the specific cause of the quality problem cannot be determined, in order to ensure product quality, it may be necessary to rework large areas of yarn or entire batches of products, which reduces production efficiency and increases production costs.

[0005] 2. The existing technology does not pay much attention to the classification of yarns according to quality coefficients. Without classification based on quality coefficients, it is difficult to accurately evaluate the value of yarns, resulting in unclear product uses. High-quality yarns and ordinary yarns cannot reflect the expected difference in price. On the one hand, the value of the company's high-quality products may be underestimated, affecting the company's economic benefits; on the other hand, it may cause customers to have deviations in their perception of product quality and price, affecting market competitiveness. Summary of the invention

[0006] The purpose of the present invention is to provide a ring spindle intelligent spinning management system and management method, which solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a ring spindle intelligent spinning management system, including: a raw material information acquisition and processing module, which acquires the information of the spinning raw materials, evaluates the quality coefficient of the spinning raw materials, and determines whether the spinning raw materials meet the spinning standards. If the spinning raw materials meet the spinning standards, the yarn production link is carried out.

[0008] The production information acquisition and processing module obtains the operating data of the ring intelligent spinning machine, evaluates the drafting operation safety factor of each ring intelligent spinning machine, evaluates the twisting operation safety factor of each ring intelligent spinning machine, and then evaluates the overall operation safety factor of each ring intelligent spinning machine. Based on the overall operation safety factor of each ring intelligent spinning machine, the abnormal type of the ring intelligent spinning machine is determined.

[0009] The yarn information acquisition and processing module is used to package the yarn into rolls after production, obtain the information of each roll of yarn, evaluate the quality coefficient of each roll of yarn, and classify each roll of yarn based on the quality coefficient of each roll of yarn.

[0010] The display terminal shows the overall operating safety factor of each ring spinning machine and the quality coefficient of each roll of yarn.

[0011] Preferably, the specific analysis method for evaluating the quality coefficient of the spinning raw material is: extracting the diameter, length and strength of the fiber from the information of the spinning raw material, evaluating the structural strength of the spinning raw material, extracting the amount of impurities and pesticide residues in the spinning raw material from the information of the spinning raw material, and then evaluating the quality coefficient of the spinning raw material, and the calculation formula is: ,in represents the quality coefficient of the yarn raw material, b represents the structural strength of the spinning raw material, c represents the amount of impurities in the spinning raw material, d represents the pesticide residue in the spinning raw material, , , They respectively represent the structural strength of the preset spinning raw material, the amount of impurities in the preset spinning raw material, and the amount of pesticide residue in the preset spinning raw material. , , They respectively represent the structural strength weight factor of the spinning raw materials, the impurity quantity weight factor of the spinning raw materials, the pesticide residue weight factor of the spinning raw materials, and e represents a natural constant.

[0012] Preferably, the specific analysis method for judging whether the spinning raw materials meet the spinning standards is: extracting the quality coefficient of the spinning raw materials, and comparing it with the preset quality coefficient of the spinning raw materials; if the quality coefficient of the spinning raw materials is lower than the preset quality coefficient of the spinning raw materials, it is determined that the spinning raw materials do not meet the spinning standards; if the quality coefficient of the spinning raw materials is higher than the preset quality coefficient of the spinning raw materials, it is determined that the spinning raw materials meet the spinning standards, and then the spinning raw materials are processed.

[0013] Preferably, the specific analysis method for evaluating the safety factor of the drafting operation of each ring spinning machine is as follows: From the operation data of the ring spinning machine, the vibration amplitude, frequency and speed of each roller of each ring spinning machine are extracted, and then the safety factor of the drafting operation of each ring spinning machine is evaluated. The calculation formula is: ,in represents the safety factor of the drafting operation of the i-th ring spinning machine, , , They represent the vibration amplitude, frequency and speed of the mth roller of the i-th ring spinning machine respectively. , , They respectively represent the vibration amplitude, frequency and speed of the rollers of the preset ring-spindle intelligent spinning machine, i represents the number of each ring-spindle intelligent spinning machine, , j is a positive integer greater than 2, m represents the number of each roller of the ring spinning machine, , n is a positive integer greater than 2, and n represents the number of rollers of the ring spinning machine.

[0014] Preferably, the specific analysis method for evaluating the twisting operation safety factor of each ring spindle intelligent spinning machine is as follows: From the operation data of the ring spinning machine, the yarn breakage rate of each ring spinning machine and the vibration amplitude and speed of each spindle are extracted, and then the twisting operation safety factor of each ring spinning machine is evaluated. The calculation formula is: ,in represents the twisting operation safety factor of the i-th ring spinning machine, , They represent the vibration amplitude and speed of the pth spindle of the ith ring spinning machine, , They respectively represent the vibration amplitude and speed of the preset spindles of the ring spinning machine, and p represents the number of each spindle of the ring spinning machine. , q is a positive integer greater than 2, q represents the number of spindles of the ring spinning machine, represents the yarn breakage rate during the twisting process of the i-th ring spinning machine, Indicates the yarn breakage rate during the twisting process of the preset ring spinning machine.

[0015] Preferably, the overall operation safety factor of each ring intelligent spinning machine is evaluated, and the specific analysis method is: extracting the number of failures of the ring intelligent spinning machine caused by abnormalities in the drafting stage from the database, comparing it with the total number of failures of the ring intelligent spinning machine, and obtaining the drafting stage influencing factor M; extracting the number of failures of the ring intelligent spinning machine caused by abnormalities in the twisting stage, comparing it with the total number of failures of the ring intelligent spinning machine, and obtaining the twisting stage influencing factor N.

[0016] Based on the drafting operation safety factor of each ring spindle intelligent spinning machine and the twisting operation safety factor of each ring spindle intelligent spinning machine, the overall operation safety factor of each ring spindle intelligent spinning machine is evaluated, and the calculation formula is: ,in Represents the overall operation safety factor of the i-th ring spinning machine.

[0017] Preferably, the specific analysis method for judging the abnormal type of the ring intelligent spinning machine is: extracting the overall operation safety factor of each ring intelligent spinning machine, and comparing it with the preset overall operation safety factor of the ring intelligent spinning machine; if the overall operation safety factor of a certain ring intelligent spinning machine is higher than the preset overall operation safety factor of the ring intelligent spinning machine, then the operation of the ring intelligent spinning machine is judged to be normal; if the overall operation safety factor of a certain ring intelligent spinning machine is lower than the preset overall operation safety factor of the ring intelligent spinning machine, then the operation of the ring intelligent spinning machine is judged to be abnormal, and each abnormally operating ring intelligent spinning machine is obtained.

[0018] The drafting operation safety factor and twisting operation safety factor of each abnormally operating ring spindle intelligent spinning machine are extracted, and compared with the preset drafting operation safety factor and twisting operation safety factor respectively. If the drafting operation safety factor of the ring spindle intelligent spinning machine is lower than the preset drafting operation safety factor, it is determined that the drafting stage of the ring spindle intelligent spinning machine is working abnormally; if the twisting operation safety factor of the ring spindle intelligent spinning machine is lower than the preset twisting operation safety factor, it is determined that the twisting stage of the ring spindle intelligent spinning machine is working abnormally.

[0019] Based on the above judgment, the abnormal types of the ring spinning machine are abnormal operation in the drafting stage, abnormal operation in the twisting stage, and abnormal operation in the drafting stage and the twisting stage.

[0020] Preferably, the quality coefficient of each yarn roll is evaluated by a specific analysis method: extracting the uniformity, twist and hairiness index of each yarn roll from the information of each yarn roll, and then evaluating the quality coefficient of each yarn roll, and the calculation formula is: ,in represents the mass coefficient of the y-th roll of yarn, , , They represent the uniformity, twist and hairiness index of the y-th roll of yarn respectively. , , They represent the preset uniformity, twist and hairiness index of the yarn respectively, and y represents the number of each roll of yarn. , z is a positive integer greater than 2, , , They respectively represent the preset yarn quality uniformity weight factor, twist weight factor, and hairiness index weight factor.

[0021] Preferably, the yarn reels are graded, and the specific analysis method is: extract the quality coefficient of each yarn reel, and compare it with the quality coefficient range corresponding to each yarn grade stored in the database; if the quality coefficient of a certain yarn reel is within the quality coefficient range corresponding to a certain yarn grade, then the yarn grade corresponding to the quality coefficient range of the yarn is used as the quality grade of the yarn reel, thereby obtaining the quality grade of each yarn reel.

[0022] A second aspect of the present invention provides a method for managing a ring spindle intelligent spinning system, comprising: Step 1: The raw material information acquisition and processing module acquires the information of the spinning raw materials, evaluates the quality coefficient of the spinning raw materials, and determines whether the spinning raw materials meet the spinning standards. If the spinning raw materials meet the spinning standards, the yarn production link is carried out.

[0023] Step 2: Acquire and process production information, obtain the operating data of the ring intelligent spinning machine, evaluate the drafting operation safety factor of each ring intelligent spinning machine, evaluate the twisting operation safety factor of each ring intelligent spinning machine, and then evaluate the overall operation safety factor of each ring intelligent spinning machine. Based on the overall operation safety factor of each ring intelligent spinning machine, determine the abnormal type of the ring intelligent spinning machine.

[0024] Step 3: Acquisition and processing of yarn information: After the yarn is produced, it is packaged into rolls, and the information of each roll of yarn is obtained. The quality coefficient of each roll of yarn is evaluated, and each roll of yarn is graded based on the quality coefficient of each roll of yarn.

[0025] The beneficial effects of the present invention are: 1. In the present invention, a specific analysis is made on the raw materials and production process of the yarn. If the yarn quality is unqualified, it can be quickly determined whether the problem is caused by the drafting stage in the spinning process or the twisting stage in the spinning process, which facilitates the establishment of a complete quality traceability file, improves production efficiency, and reduces production costs.

[0026] 2. In the present invention, more attention is paid to the classification of yarns according to quality coefficients. The classification of quality coefficients makes the use of products more scientific and reasonable. High-grade yarns can be priced higher due to their better quality, reflecting their high-quality value; low-grade yarns are relatively cheap, which is suitable for price-sensitive market demand, avoiding the underestimation of high-quality yarn prices, and at the same time meeting the needs of different customer groups and improving the economic benefits of the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be 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.

[0028] Figure 1 It is a schematic diagram of the system structure connection of the present invention.

[0029] Figure 2 The present invention is a schematic flow chart of the steps for implementing the method. DETAILED DESCRIPTION

[0030] 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.

[0031] Reference Figure 1 As shown, the present invention provides a ring spindle intelligent spinning management system, including: a raw material information acquisition and processing module, which acquires the information of the spinning raw material, evaluates the quality coefficient of the spinning raw material, and determines whether the spinning raw material meets the spinning standard. If the spinning raw material meets the spinning standard, the yarn production link is carried out.

[0032] In a specific embodiment, the quality coefficient of the spinning raw material is evaluated by a specific analysis method: extracting the diameter, length, and strength of the fiber from the information of the spinning raw material, evaluating the structural strength of the spinning raw material, extracting the amount of impurities and pesticide residues in the spinning raw material from the information of the spinning raw material, and then evaluating the quality coefficient of the spinning raw material. The calculation formula is: ,in represents the quality coefficient of the yarn raw material, b represents the structural strength of the spinning raw material, c represents the amount of impurities in the spinning raw material, d represents the pesticide residue in the spinning raw material, , , They respectively represent the structural strength of the preset spinning raw material, the amount of impurities in the preset spinning raw material, and the amount of pesticide residue in the preset spinning raw material. , , They respectively represent the structural strength weight factor of the spinning raw materials, the impurity quantity weight factor of the spinning raw materials, the pesticide residue weight factor of the spinning raw materials, and e represents a natural constant.

[0033] It should be noted that the calculation formula for evaluating the structural strength of the spinning raw material is: , where b represents the structural strength of the spinning material, A, B, and C represent the diameter, length, and strength of the fiber, respectively. , , Respectively represent the preset fiber diameter, length, and strength, , , They represent the fiber diameter weight factor, length weight factor, and strength weight factor respectively. , , , , respectively obtain the diameter, length and strength of the spinning raw material fiber through the diameter sensor, length sensor and strength sensor, and use optical instruments to image the spinning raw material. Use image processing software to identify and count the number of impurities. For plant fiber raw materials, taking cotton as an example, the impurity types may be cottonseed hulls, leaf scraps, bell pieces, and grass seeds. The pesticide residue of the spinning raw material is obtained by gas chromatography before the raw material is put into use. The preset diameter, length and strength of the spinning raw material fiber are set by professionals. The preset quality coefficient of the spinning raw material, the preset number of impurities in the spinning raw material, the preset pesticide residue of the spinning raw material, the structural strength weight factor of the spinning raw material, the impurity number weight factor of the spinning raw material, and the pesticide residue weight factor of the spinning raw material are set by professionals. , , , .

[0034] In a specific embodiment, the specific analysis method for judging whether the spinning raw material meets the spinning standard is: extracting the quality coefficient of the spinning raw material, and comparing it with the preset quality coefficient of the spinning raw material; if the quality coefficient of the spinning raw material is lower than the preset quality coefficient of the spinning raw material, it is determined that the spinning raw material does not meet the spinning standard; if the quality coefficient of the spinning raw material is higher than the preset quality coefficient of the spinning raw material, it is determined that the spinning raw material meets the spinning standard, and then the spinning raw material is processed.

[0035] It should be noted that the preset quality coefficient of the spinning raw material is set by professionals. For example, the preset quality coefficient of the spinning raw material for high-grade yarn is higher than the preset quality coefficient of the spinning raw material for low-grade yarn.

[0036] The production information acquisition and processing module obtains the operating data of the ring intelligent spinning machine, evaluates the drafting operation safety factor of each ring intelligent spinning machine, evaluates the twisting operation safety factor of each ring intelligent spinning machine, and then evaluates the overall operation safety factor of each ring intelligent spinning machine. Based on the overall operation safety factor of each ring intelligent spinning machine, the abnormal type of the ring intelligent spinning machine is determined.

[0037] In a specific embodiment, the safety factor of the drafting operation of each ring intelligent spinning machine is evaluated, and the specific analysis method is: from the operation data of the ring intelligent spinning machine, the vibration amplitude, frequency, and speed of each roller of each ring intelligent spinning machine are extracted, and then the safety factor of the drafting operation of each ring intelligent spinning machine is evaluated. The calculation formula is: ,in represents the safety factor of the drafting operation of the i-th ring spinning machine, , , They represent the vibration amplitude, frequency and speed of the mth roller of the i-th ring spinning machine respectively. , , They respectively represent the vibration amplitude, frequency and speed of the rollers of the preset ring-spindle intelligent spinning machine, i represents the number of each ring-spindle intelligent spinning machine, , j is a positive integer greater than 2, m represents the number of each roller of the ring spinning machine, , n is a positive integer greater than 2, and n represents the number of rollers of the ring spinning machine.

[0038] It should be noted that the vibration amplitude, frequency and speed of the preset ring spindle intelligent spinning machine rollers are set by professionals, and the vibration amplitude and frequency of each roller of the ring spindle intelligent spinning machine are obtained through vibration sensors, and the speed of each roller of the ring spindle intelligent spinning machine is obtained through speed sensors.

[0039] In the present invention, a specific analysis is made on the raw materials and production process of the yarn. If the yarn quality is unqualified, it can be quickly determined whether the problem is caused by the drafting stage in the spinning process or the twisting stage in the spinning process, which facilitates the establishment of a complete quality traceability file, improves production efficiency and reduces production costs.

[0040] In a specific embodiment, the twisting operation safety factor of each ring spindle intelligent spinning machine is evaluated, and the specific analysis method is: from the operation data of the ring spindle intelligent spinning machine, the yarn breakage rate of each ring spindle intelligent spinning machine and the vibration amplitude and rotation speed of each spindle are extracted, and then the twisting operation safety factor of each ring spindle intelligent spinning machine is evaluated, and the calculation formula is: ,in represents the twisting operation safety factor of the i-th ring spinning machine, , They represent the vibration amplitude and speed of the pth spindle of the ith ring spinning machine, , They respectively represent the vibration amplitude and speed of the preset spindles of the ring spinning machine, and p represents the number of each spindle of the ring spinning machine. , q is a positive integer greater than 2, q represents the number of spindles of the ring spinning machine, represents the yarn breakage rate during the twisting process of the i-th ring spinning machine, Indicates the yarn breakage rate during the twisting process of the preset ring spinning machine.

[0041] It should be noted that the preset vibration amplitude and rotation speed of the spindles of the ring intelligent spinning machine are set by professionals. The vibration amplitude of each spindle of the ring intelligent spinning machine is obtained by a vibration sensor, and the rotation speed of each spindle of the ring intelligent spinning machine is obtained by a speed sensor. The yarn breakage rate refers to the number of yarn breakages per unit time during the spinning process, which is obtained by a photoelectric sensor.

[0042] In a specific embodiment, the overall operation safety factor of each ring intelligent spinning machine is evaluated, and the specific analysis method is as follows: the number of failures of the ring intelligent spinning machine caused by abnormalities in the drafting stage is extracted from the database, and it is compared with the total number of failures of the ring intelligent spinning machine to obtain the drafting stage influencing factor M; the number of failures of the ring intelligent spinning machine caused by abnormalities in the twisting stage is extracted, and it is compared with the total number of failures of the ring intelligent spinning machine to obtain the twisting stage influencing factor N.

[0043] Based on the drafting operation safety factor of each ring spindle intelligent spinning machine and the twisting operation safety factor of each ring spindle intelligent spinning machine, the overall operation safety factor of each ring spindle intelligent spinning machine is evaluated, and the calculation formula is: ,in Represents the overall operation safety factor of the i-th ring spinning machine.

[0044] In a specific embodiment, the abnormality type of the ring intelligent spinning machine is determined by a specific analysis method: extracting the overall operation safety factor of each ring intelligent spinning machine, and comparing it with the overall operation safety factor of the preset ring intelligent spinning machine. If the overall operation safety factor of a certain ring intelligent spinning machine is higher than the overall operation safety factor of the preset ring intelligent spinning machine, it is determined that the operation of the ring intelligent spinning machine is normal; if the overall operation safety factor of a certain ring intelligent spinning machine is lower than the overall operation safety factor of the preset ring intelligent spinning machine, it is determined that the operation of the ring intelligent spinning machine is abnormal, and each abnormally operating ring intelligent spinning machine is obtained.

[0045] The drafting operation safety factor and twisting operation safety factor of each abnormally operating ring spindle intelligent spinning machine are extracted, and compared with the preset drafting operation safety factor and twisting operation safety factor respectively. If the drafting operation safety factor of the ring spindle intelligent spinning machine is lower than the preset drafting operation safety factor, it is determined that the drafting stage of the ring spindle intelligent spinning machine is working abnormally; if the twisting operation safety factor of the ring spindle intelligent spinning machine is lower than the preset twisting operation safety factor, it is determined that the twisting stage of the ring spindle intelligent spinning machine is working abnormally.

[0046] Based on the above judgment, the abnormal types of the ring spinning machine are abnormal operation in the drafting stage, abnormal operation in the twisting stage, and abnormal operation in the drafting stage and the twisting stage.

[0047] It should be noted that the preset overall operation safety factor of the ring spindle intelligent spinning machine, the preset drafting operation safety factor, and the twisting operation safety factor are set by professionals.

[0048] The yarn information acquisition and processing module is used to package the yarn into rolls after production, obtain the information of each roll of yarn, evaluate the quality coefficient of each roll of yarn, and classify each roll of yarn based on the quality coefficient of each roll of yarn.

[0049] In a specific embodiment, the quality coefficient of each yarn roll is evaluated by a specific analysis method: extracting the uniformity, twist, and hairiness index of each yarn roll from the information of each yarn roll, and then evaluating the quality coefficient of each yarn roll. The calculation formula is: ,in represents the mass coefficient of the y-th roll of yarn, , , They represent the uniformity, twist and hairiness index of the y-th roll of yarn respectively. , , They represent the preset uniformity, twist and hairiness index of the yarn respectively, and y represents the number of each roll of yarn. , z is a positive integer greater than 2, , , They respectively represent the preset yarn quality uniformity weight factor, twist weight factor, and hairiness index weight factor.

[0050] It should be noted that the preset yarn uniformity, twist, and hairiness index are set by professionals, and the uniformity, twist, and hairiness index of each roll of yarn are obtained through the yarn uniformity sensor, yarn twist sensor, and yarn hairiness index sensor, respectively. The yarn twist refers to the number of twists per unit length of the yarn. Twist refers to the number of turns of the fibers in the yarn around the yarn axis, and the yarn hairiness index refers to the number of fibers protruding from the surface of the yarn per unit length. , , , .

[0051] In a specific embodiment, the yarn reels are graded, and the specific analysis method is: extract the quality coefficient of each yarn reel, and compare it with the quality coefficient range corresponding to each yarn grade stored in the database; if the quality coefficient of a certain yarn reel is within the quality coefficient range corresponding to a certain yarn grade, then the yarn grade corresponding to the quality coefficient range of the yarn is used as the quality grade of the yarn reel, thereby obtaining the quality grade of each yarn reel.

[0052] It should be noted that the quality coefficient range of the yarn corresponding to each yarn grade stored in the database is set by professionals.

[0053] In the present invention, more attention is paid to the classification of yarns according to quality coefficients. The classification of quality coefficients makes the use of products more scientific and reasonable. High-grade yarns can be priced higher due to their better quality, reflecting their high-quality value; low-grade yarns are relatively cheap, which is suitable for market demands that are sensitive to prices, avoiding the underestimation of high-quality yarn prices, and also meeting the needs of different customer groups, thereby improving the economic benefits of the enterprise.

[0054] The display terminal shows the overall operating safety factor of each ring spinning machine and the quality coefficient of each roll of yarn.

[0055] refer to Figure 2 , a method for managing a ring spinning intelligent management system, comprising: Step 1: The raw material information acquisition and processing module acquires the information of the spinning raw materials, evaluates the quality coefficient of the spinning raw materials, and determines whether the spinning raw materials meet the spinning standards. If the spinning raw materials meet the spinning standards, the yarn production link is carried out.

[0056] Step 2: Acquire and process production information, obtain the operating data of the ring intelligent spinning machine, evaluate the drafting operation safety factor of each ring intelligent spinning machine, evaluate the twisting operation safety factor of each ring intelligent spinning machine, and then evaluate the overall operation safety factor of each ring intelligent spinning machine. Based on the overall operation safety factor of each ring intelligent spinning machine, determine the abnormal type of the ring intelligent spinning machine.

[0057] Step 3: Acquisition and processing of yarn information: After the yarn is produced, it is packaged into rolls, and the information of each roll of yarn is obtained. The quality coefficient of each roll of yarn is evaluated, and each roll of yarn is graded based on the quality coefficient of each roll of yarn.

[0058] The present invention also includes a database, which includes preset fiber diameters, lengths, and strengths, preset structural strengths of spinning raw materials, preset impurity counts of spinning raw materials, preset pesticide residues of spinning raw materials, preset quality coefficients of spinning raw materials, preset vibration amplitudes, frequencies, and rotation speeds of rollers of ring-spindle intelligent spinning machines, preset vibration amplitudes and rotation speeds of spindles of ring-spindle intelligent spinning machines, preset overall operation safety factors of ring-spindle intelligent spinning machines, preset drafting operation safety factors, twisting operation safety factors, preset uniformity, twist, and hairiness index of yarns, and the quality coefficient ranges of yarns corresponding to each yarn grade.

[0059] The raw material information acquisition and processing module is connected to the production information acquisition and processing module, the production information acquisition and processing module is connected to the yarn information acquisition and processing module, and the raw material information acquisition and processing module, the production information acquisition and processing module, and the yarn information acquisition and processing module are simultaneously connected to the display terminal and the database.

[0060] 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. A ring spinning intelligent management system, characterized in that: include: The raw material information acquisition and processing module acquires the information of the spinning raw materials, evaluates the quality coefficient of the spinning raw materials, and determines whether the spinning raw materials meet the spinning standards. If the spinning raw materials meet the spinning standards, the yarn production link is carried out; The production information acquisition and processing module acquires the operation data of the ring-spindle intelligent spinning machine, evaluates the drafting operation safety factor of each ring-spindle intelligent spinning machine, evaluates the twisting operation safety factor of each ring-spindle intelligent spinning machine, and then evaluates the overall operation safety factor of each ring-spindle intelligent spinning machine. Based on the overall operation safety factor of each ring-spindle intelligent spinning machine, the abnormal type of the ring-spindle intelligent spinning machine is determined; The yarn information acquisition and processing module is used to package the yarn into rolls after production, obtain the information of each roll of yarn, evaluate the quality coefficient of each roll of yarn, and classify each roll of yarn based on the quality coefficient of each roll of yarn; The display terminal shows the overall operating safety factor of each ring spinning machine and the quality coefficient of each roll of yarn.

2. The intelligent ring spinning management system according to claim 1, characterized in that: The specific analysis method for evaluating the quality coefficient of the spinning raw material is as follows: The diameter, length and strength of the fiber are extracted from the information of the spinning raw materials to evaluate the structural strength of the spinning raw materials. The amount of impurities and pesticide residues in the spinning raw materials are extracted from the information of the spinning raw materials to further evaluate the quality coefficient of the spinning raw materials. The calculation formula is: ,in represents the quality coefficient of the yarn raw material, b represents the structural strength of the spinning raw material, c represents the amount of impurities in the spinning raw material, d represents the pesticide residue in the spinning raw material, , , They respectively represent the structural strength of the preset spinning raw material, the amount of impurities in the preset spinning raw material, and the amount of pesticide residue in the preset spinning raw material. , , They respectively represent the structural strength weight factor of the spinning raw materials, the impurity quantity weight factor of the spinning raw materials, the pesticide residue weight factor of the spinning raw materials, and e represents a natural constant.

3. The intelligent ring spinning management system according to claim 2, characterized in that: The specific analysis method for judging whether the spinning raw materials meet the spinning standards is as follows: The quality coefficient of the spinning raw material is extracted and compared with the preset quality coefficient of the spinning raw material. If the quality coefficient of the spinning raw material is lower than the preset quality coefficient of the spinning raw material, it is determined that the spinning raw material does not meet the spinning standard. If the quality coefficient of the spinning raw material is higher than the preset quality coefficient of the spinning raw material, it is determined that the spinning raw material meets the spinning standard, and then the spinning raw material is processed.

4. The intelligent ring spinning management system according to claim 1, characterized in that: The specific analysis method for evaluating the safety factor of the drafting operation of each ring spinning machine is as follows: From the operation data of the ring spinning machine, the vibration amplitude, frequency and speed of each roller of each ring spinning machine are extracted, and then the safety factor of the drafting operation of each ring spinning machine is evaluated. The calculation formula is: ,in represents the safety factor of the drafting operation of the i-th ring spinning machine, , , They represent the vibration amplitude, frequency and speed of the mth roller of the i-th ring spinning machine respectively. , , They respectively represent the vibration amplitude, frequency and speed of the rollers of the preset ring-spindle intelligent spinning machine, i represents the number of each ring-spindle intelligent spinning machine, , j is a positive integer greater than 2, m represents the number of each roller of the ring spinning machine, , n is a positive integer greater than 2, and n represents the number of rollers of the ring spinning machine.

5. The intelligent ring spinning management system according to claim 4, characterized in that: The specific analysis method for evaluating the twisting operation safety factor of each ring spindle intelligent spinning machine is as follows: From the operation data of the ring spinning machine, the yarn breakage rate of each ring spinning machine and the vibration amplitude and speed of each spindle are extracted to evaluate the twisting operation safety factor of each ring spinning machine. The calculation formula is: ,in represents the twisting operation safety factor of the i-th ring spinning machine, , They represent the vibration amplitude and speed of the pth spindle of the ith ring spinning machine, , They respectively represent the vibration amplitude and speed of the preset spindles of the ring spinning machine, and p represents the number of each spindle of the ring spinning machine. , q is a positive integer greater than 2, q represents the number of spindles of the ring spinning machine, represents the yarn breakage rate during the twisting process of the i-th ring spinning machine, Indicates the yarn breakage rate during the twisting process of the preset ring spinning machine.

6. The intelligent ring spinning management system according to claim 5, characterized in that: The specific analysis method for evaluating the overall operation safety factor of each ring spinning machine is as follows: Extract the number of failures of the ring spinning machine caused by abnormalities in the drafting stage from the database, compare it with the total number of failures of the ring spinning machine, and obtain the drafting stage influencing factor M; extract the number of failures of the ring spinning machine caused by abnormalities in the twisting stage, compare it with the total number of failures of the ring spinning machine, and obtain the twisting stage influencing factor N; Based on the drafting operation safety factor of each ring spindle intelligent spinning machine and the twisting operation safety factor of each ring spindle intelligent spinning machine, the overall operation safety factor of each ring spindle intelligent spinning machine is evaluated, and the calculation formula is: ,in Represents the overall operation safety factor of the i-th ring spinning machine.

7. The intelligent ring spinning management system according to claim 6, characterized in that: The specific analysis method for judging the abnormal type of the ring spinning machine is as follows: Extract the overall operation safety factor of each ring-spindle intelligent spinning machine, and compare it with the overall operation safety factor of the preset ring-spindle intelligent spinning machine. If the overall operation safety factor of a certain ring-spindle intelligent spinning machine is higher than the overall operation safety factor of the preset ring-spindle intelligent spinning machine, it is determined that the operation of the ring-spindle intelligent spinning machine is normal. If the overall operation safety factor of a certain ring-spindle intelligent spinning machine is lower than the overall operation safety factor of the preset ring-spindle intelligent spinning machine, it is determined that the operation of the ring-spindle intelligent spinning machine is abnormal, and various abnormally operating ring-spindle intelligent spinning machines are obtained; Extract the drafting operation safety factor and twisting operation safety factor of each abnormally operating ring spindle intelligent spinning machine, and compare them with the preset drafting operation safety factor and twisting operation safety factor respectively. If the drafting operation safety factor of the ring spindle intelligent spinning machine is lower than the preset drafting operation safety factor, it is determined that the drafting stage of the ring spindle intelligent spinning machine is working abnormally. If the twisting operation safety factor of the ring spindle intelligent spinning machine is lower than the preset twisting operation safety factor, it is determined that the twisting stage of the ring spindle intelligent spinning machine is working abnormally. Based on the above judgment, the abnormal types of the ring spinning machine are abnormal operation in the drafting stage, abnormal operation in the twisting stage, and abnormal operation in the drafting stage and the twisting stage.

8. The intelligent ring spinning management system according to claim 1, characterized in that: The specific analysis method for evaluating the quality coefficient of each roll of yarn is as follows: From the information of each roll of yarn, the uniformity, twist and hairiness index of each roll of yarn are extracted, and then the quality coefficient of each roll of yarn is evaluated. The calculation formula is: ,in represents the mass coefficient of the y-th roll of yarn, , , They represent the uniformity, twist and hairiness index of the y-th roll of yarn respectively. , , They represent the preset uniformity, twist and hairiness index of the yarn respectively, and y represents the number of each roll of yarn. , z is a positive integer greater than 2, , , They respectively represent the preset yarn quality uniformity weight factor, twist weight factor, and hairiness index weight factor.

9. The intelligent ring spinning management system according to claim 8, characterized in that: The specific analysis method for classifying each roll of yarn is as follows: The quality coefficient of each roll of yarn is extracted and compared with the quality coefficient range corresponding to each yarn grade stored in the database. If the quality coefficient of a roll of yarn is within the quality coefficient range corresponding to a certain yarn grade, the yarn grade corresponding to the quality coefficient range of the yarn is used as the quality grade of the roll of yarn, thereby obtaining the quality grade of each roll of yarn.

10. A method for executing a ring spinning intelligent management system according to any one of claims 1 to 9, comprising: Step 1: Raw material information acquisition and processing module, obtains information of spinning raw materials, evaluates the quality coefficient of spinning raw materials, and determines whether the spinning raw materials meet the spinning standards. If the spinning raw materials meet the spinning standards, the yarn production link is carried out; Step 2: Acquire and process production information, obtain the operating data of the ring intelligent spinning machine, evaluate the drafting operation safety factor of each ring intelligent spinning machine, evaluate the twisting operation safety factor of each ring intelligent spinning machine, and then evaluate the overall operation safety factor of each ring intelligent spinning machine. Based on the overall operation safety factor of each ring intelligent spinning machine, determine the abnormal type of the ring intelligent spinning machine; Step 3: Acquisition and processing of yarn information: After the yarn is produced, it is packaged into rolls, and the information of each roll of yarn is obtained. The quality coefficient of each roll of yarn is evaluated, and each roll of yarn is graded based on the quality coefficient of each roll of yarn.

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