Raw material control method, system and device for production of precursor equipment

Abstract

The invention relates to the technical field of industrial control, and particularly discloses a raw material control method, system and device for precursor equipment production, and the method comprises the steps: precisely analyzing the quality performance coefficient of a raw material by deeply analyzing the quality parameter of the raw material on a precursor frame, and automatically matching an optimal raw material supply process parameter set according to the quality performance coefficient; after the parameter set is executed by the precursor frame, compliance factors of raw material supply are further evaluated, so that whether primary control needs to be implemented or not is intelligently judged, meanwhile, production process parameters of precursor production equipment are continuously monitored, a production stability index is accurately judged, and whether necessary secondary control is carried out on the raw material supply process or not is judged; by means of the series of intelligent operation, the precursor supply stability of the precursor frame is remarkably improved, the consistency of precursor supply and the production process is guaranteed, production interruption caused by the precursor supply problem is reduced, and a production line can continuously and stably run.

Description

Technical Field

[0001] The present invention relates to the field of industrial control technology, and in particular to a raw material control method, system and device for raw silk equipment production. Background Art

[0002] In the modern textile and chemical fiber industry, the production of raw silk is a vital link. The quality and performance of raw silk directly affect the quality and market competitiveness of subsequent products. Modern raw silk production has begun to introduce advanced control technology and equipment, as well as intelligent algorithms and data processing technology to achieve precise control and management of raw materials.

[0003] For example, the invention patent with publication number CN113848842A discloses a method and device for preparing raw materials in the production of carbon fiber precursor, which solves the technical problems of inaccurate raw material ratio, large quality differences of the same polymerization products in each kettle, and unstable quality of carbon fiber products in the existing production of carbon fiber precursor. It is provided with a pipeline for feeding liquid monomer raw materials, a pipeline for feeding solvents, and a control system. Two mass flow meters are installed in series on the pipeline for feeding liquid monomer raw materials; at the same time, pneumatic regulating valves and solenoid valves are respectively installed on the pipeline for feeding liquid monomer raw materials; two mass flow meters are installed on the pipeline for feeding solvents, and pneumatic regulating valves and solenoid valves are respectively installed on the pipeline for feeding solvents.

[0004] For example, the invention patent with publication number CN118092337A discloses a plant and control system for carbon fiber production, including a precursor preparation workshop, a pre-oxidation workshop, a carbonization workshop, and a surface treatment and sizing workshop. The precursor preparation workshop is equipped with a polymerization kettle, a spinning machine, a washing machine, a dryer, and a winding machine; the pre-oxidation workshop is equipped with a pre-oxidation furnace and a winding machine; the carbonization workshop is equipped with a carbonization furnace and a winding machine; the surface treatment and sizing workshop is equipped with a surface treatment machine and a sizing machine.

[0005] However, in the process of implementing the embodiments of the present application, it was found that the above-mentioned technology has at least the following technical problems: when currently controlling the production of raw silk, some control systems ignore the profound impact of raw silk supply on the production process. Although some control systems are aware of the importance of raw silk supply to the subsequent production of raw silk, they only regard the supply speed as the only control variable. Therefore, the existing technology restricts the further improvement of production efficiency. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a raw material control method, system and device for raw silk production equipment, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: In a first aspect, the present invention provides a raw material control method for raw silk equipment production, including: step one, obtaining quality parameters of raw materials on a raw silk rack, analyzing the quality performance coefficient of the raw materials, and matching a raw material supply process parameter set; step two, the raw silk rack executes the raw material supply process parameter set, thereby collecting the raw material supply process parameters of the raw silk rack, comprehensively evaluating the raw material supply compliance factor of the raw silk rack based on the quality performance coefficient of the raw materials, and comparing it with the raw material supply compliance threshold. If the raw material supply compliance factor of the raw silk rack is less than the raw material supply compliance threshold, the raw material supply process of the raw silk rack is controlled once; step three, the raw silk production equipment processes the raw materials supplied by the raw silk rack, monitors the production process parameters of the raw silk production equipment, comprehensively determines the production stability index of the raw silk production equipment based on the raw material supply compliance factor of the raw silk rack, and compares it with the production stability threshold, thereby determining whether to perform secondary control on the raw material supply process of the raw silk rack.

[0008] As a further method, the raw material supply process parameter set is matched, and the specific matching process is: matching the quality performance coefficient of the raw material belonging to the raw silk rack with the raw material supply process parameter set corresponding to each quality performance coefficient interval stored in the raw silk database, thereby matching the raw material supply process parameter set.

[0009] As a further method, the raw material supply process of the raw silk rack is controlled once, and the specific control process is: if the raw material supply compliance factor of the raw silk rack is less than the raw material supply compliance threshold, the control system matches a supply control set of the raw silk rack from the raw silk database according to the raw material supply compliance factor of the raw silk rack, and the raw silk rack executes the supply control set once until the raw material supply compliance factor of the raw silk rack is greater than or equal to the raw material supply compliance threshold, updates the raw material supply compliance factor of the raw silk rack, and marks the above process as the first adjustment cycle, and at the same time, the raw materials supplied by the raw silk rack during the supply monitoring cycle and the first adjustment cycle are integrated and recycled, and re-supplied; if the raw material supply compliance factor of the raw silk rack is greater than or equal to the raw material supply compliance threshold, the raw silk production equipment directly processes the raw materials supplied by the raw silk rack.

[0010] As a further method, the determination of whether to perform secondary control on the raw material supply process of the raw silk rack is as follows: if the production stability index of the raw silk production equipment is less than the production stability threshold, the control system matches the secondary supply control set of the raw silk rack from the raw silk database according to the production stability index of the raw silk production equipment, and the raw silk rack executes the secondary supply control set to ensure that the raw material supply compliance factor of the raw silk rack is greater than or equal to the raw material supply compliance threshold, and the above process is marked as a second adjustment cycle, and the raw materials supplied by the raw silk rack in the second adjustment cycle are integrated and recycled, and re-supplied; at the same time, the control system matches the production control set of the raw silk production equipment from the raw silk database according to the production stability index of the raw silk production equipment, and the raw silk production equipment executes the production control set, and the raw materials received by the raw silk production equipment in the production management cycle are recycled and controlled; if the production stability index of the raw silk production equipment is greater than or equal to the production stability threshold, the raw material supply process parameters of the raw silk rack are continuously collected.

[0011] The second aspect of the present invention provides a system for applying a raw material control method for raw silk equipment production as described above, comprising: a supply process matching module, used to obtain quality parameters of raw materials on a raw silk rack, analyze the quality performance coefficient of the raw materials, and match a raw material supply process parameter set; a raw silk rack primary control module, used for the raw silk rack to execute the raw material supply process parameter set, thereby collecting the raw material supply process parameters of the raw silk rack, comprehensively evaluating the raw material supply compliance factor of the raw silk rack based on the quality performance coefficient of the raw materials, and comparing it with the raw material supply compliance threshold value; if the raw material supply compliance factor of the raw silk rack is less than the raw material supply compliance threshold value, the raw material supply process of the raw silk rack is controlled once; a raw silk rack secondary control module, used for the raw silk production equipment to process the raw materials supplied by the raw silk rack, monitor the production process parameters of the raw silk production equipment, comprehensively determine the production stability index of the raw silk production equipment based on the raw material supply compliance factor of the raw silk rack, and compare it with the production stability threshold value, thereby determining whether to perform secondary control on the raw material supply process of the raw silk rack.

[0012] The third aspect of the present invention provides a device that uses a raw material control method for raw silk equipment production as described above, including: a processor and a control system; the processor is used to sequentially process the quality parameters of the raw materials on the raw silk rack, the raw material supply process parameters of the raw silk rack, and the production process parameters of the raw silk production equipment, and transmit the obtained quality performance coefficient of the raw materials, the raw material supply compliance factor of the raw silk rack, and the production stability index of the raw silk production equipment to the control system via the network; the control system is used to receive the quality performance coefficient of the raw materials, the raw material supply compliance factor of the raw silk rack, and the production stability index of the raw silk production equipment from the processor, and control the raw silk rack and the raw silk production equipment, thereby completing raw material control.

[0013] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0014] (1) The present invention provides a raw material control method, system and device for raw silk production equipment. The method, system and device accurately analyze the quality parameters of the raw materials on the raw silk rack through in-depth analysis, and automatically match the best raw material supply process parameter set accordingly. After the raw silk rack executes the parameter set, the compliance factor of the raw material supply is further evaluated, so as to intelligently determine whether it is necessary to implement primary control. At the same time, the production process parameters of the raw silk production equipment are continuously monitored, the production stability index is accurately determined, and it is determined whether necessary secondary control is performed on the raw material supply process. This series of intelligent operations not only significantly improves the stability of the raw silk supply of the raw silk rack, but also ensures the consistency of the raw silk supply and the production process, reduces production interruptions caused by raw silk supply problems, and enables the production line to operate continuously and stably.

[0015] (2) The present invention matches the raw material supply process parameter set of the raw material rack by the quality of the raw materials on the raw material rack, which can significantly reduce the occurrence rate of abnormal situations such as knotting during the raw material supply process, ensure smooth and stable raw material supply, reduce the waste of raw materials caused by mismatch of raw material rack supply data, and thus improve the overall utilization rate of the raw silk.

[0016] (3) The present invention controls the operation of the raw material rack from the raw material supply process of the raw material rack and the production process of the production equipment, effectively reducing the one-sidedness caused by controlling only from a single dimension, while ensuring that each link in the raw silk production process is closely connected and coordinated, thereby making the entire raw silk production process more coherent and efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0018] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.

[0019] Figure 2 It is a schematic diagram of system module connection of the present invention. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0021] Reference Figure 1 As shown, the first aspect of the present invention provides a raw material control method for raw silk equipment production, including: step one, obtaining the quality parameters of the raw materials on the raw silk rack, analyzing the quality performance coefficient of the raw materials, and matching the raw material supply process parameter set.

[0022] It should be explained that the raw materials in this embodiment all refer to fiber precursors.

[0023] In a specific embodiment, the present invention matches the raw material supply process parameter set of the raw material rack by the quality of the raw materials on the raw material rack, which can significantly reduce the occurrence rate of abnormal situations such as knotting during the raw material supply process, ensure smooth and stable raw material supply, reduce raw material waste caused by mismatch of raw material rack supply data, and thus improve the overall utilization rate of the raw material.

[0024] Specifically, the raw material supply process parameter set is matched, and the specific matching process is: matching the quality performance coefficient of the raw material belonging to the raw silk rack with the raw material supply process parameter set corresponding to each quality performance coefficient interval stored in the raw silk database, thereby matching the raw material supply process parameter set; in an example embodiment, assuming that the quality performance coefficient of the raw material belonging to a raw silk rack belongs to a certain quality performance coefficient interval stored in the raw silk database, the raw material supply process parameter set corresponding to the quality performance coefficient interval includes: the linear speed of the first rotating shaft belonging to the raw silk rack is n1, the linear speed of the second rotating shaft belonging to the raw silk rack is n2, ..., the linear speed of the xth rotating shaft belonging to the raw silk rack is n x , start the temperature control device to ensure that the supply temperature of the raw silk rack is H degrees Celsius ± 5 degrees Celsius, start the humidity control device to ensure that the supply humidity of the raw silk rack is D% ± 5%; then the raw material supply process parameter set matched in this exemplary embodiment includes: the linear speed of the first rotating shaft of the raw silk rack is n1, the linear speed of the second rotating shaft of the raw silk rack is n2, ..., the linear speed of the xth rotating shaft of the raw silk rack is n x , start the temperature control device to ensure that the supply temperature of the raw silk rack is H degrees Celsius ± 5 degrees Celsius, start the humidity control device to ensure that the supply humidity of the raw silk rack is D% ± 5%.

[0025] Furthermore, the quality performance coefficient of the raw materials is analyzed, and the specific analysis process is as follows: the quality parameters of the raw materials on the raw material rack include the elastic modulus of each type of raw material, the diameter of each sample position point belonging to each type of raw material, and the water content of each type of raw material; the elastic modulus of the above-mentioned various types of raw materials is an important physical quantity that describes the elasticity of the fiber raw material, which refers to the proportional relationship between stress and strain in the elastic deformation stage of the fiber raw material, that is, the proportional coefficient when stress and strain are in direct proportion; the diameter of each sample position point belonging to the above-mentioned various types of raw materials refers to the diameter size of each sample position point in each type of raw material, wherein each sample position point is planned and formulated by quality supervision personnel; the water content of the above-mentioned various types of raw materials refers to the percentage of the weight of water contained in each type of fiber raw material to the total weight, wherein the elastic modulus of each type of raw material, the diameter of each sample position point belonging to each type of raw material, and the water content of each type of raw material can all be extracted from the fiber raw material supply specification manual, wherein the various types of fiber raw materials include but are not limited to glass fiber raw materials and carbon fiber raw materials.

[0026] The diameters of each sample position point belonging to each type of raw material are processed by standard deviation, and the processing results are marked as the diameter dispersion values ​​of each type of raw material, indicating the degree of dispersion of the diameters of each sample position point in each type of fiber precursor.

[0027] The average temperature of the environment to which each type of raw material belongs within the quality response period is obtained, and the thermal expansion coefficient of each type of raw material is matched from the raw silk database; the above-mentioned quality response period refers to the time period for analyzing the quality of the fiber raw silk, and the specific duration is determined according to the actual situation of the analysis; the average temperature of the environment to which the above-mentioned various types of raw materials belong within the quality response period can be obtained by measuring and analyzing with a temperature sensor; the specific matching rule for the thermal expansion coefficient of the above-mentioned various types of raw materials is as follows: the raw silk database classifies and stores the corresponding parameters of each type of raw material, for example, the thermal expansion coefficient corresponding to each average temperature interval of the environment to which each type of raw material belongs is stored, and the average temperature interval stored in the raw silk database to which the average temperature of the environment to which each type of raw material belongs within the quality response period is queried, and the thermal expansion coefficient of each type of raw material can be queried.

[0028] The elastic modulus, water content, thermal expansion coefficient and diameter discrete value of each raw material are comprehensively analyzed to obtain the quality performance coefficient of the raw material. In this embodiment, the quality performance coefficient of the raw material is a value used to characterize the quality characteristics of the raw material. The specific evaluation method is as follows:

[0029]

[0030] Where β is the quality performance coefficient of the raw material, EMS s is the elastic modulus of the sth type of raw material, FRV s is the water content of the sth type of raw material, CTE sis the thermal expansion coefficient of the sth type of raw material, DT s is the diameter discrete value of the sth type of raw material, EMS s Δ is the reference elastic modulus of the sth type of raw material preset in the raw silk database, FRV s Δ is the reference moisture content of the sth type of raw material preset in the raw silk database, CTE s Δ is the reference thermal expansion coefficient of the sth type of raw material preset in the raw silk database, ER is the mass performance coefficient weighting factor corresponding to the unit value of the diameter discrete value preset in the raw silk database, s is the number of each type of raw material, s = {1,2,3,...,w}, w is the total number of raw material types.

[0031] The reference elastic modulus of the above-mentioned S-th raw material represents the reference value of the elastic modulus of the S-th raw material; the reference water content of the above-mentioned S-th raw material represents the reference value of the water content of the S-th raw material; the reference thermal expansion coefficient of the above-mentioned S-th raw material represents the reference value of the thermal expansion coefficient of the S-th raw material.

[0032] The quality performance coefficient weight factor corresponding to the above-mentioned diameter discrete value unit value represents the degree of influence of the diameter discrete value unit value on the quality performance coefficient of the raw material. The corresponding relationship between the diameter discrete value and its corresponding quality performance coefficient weight factor is stored in the raw silk database. For example, the diameter discrete value is input into the raw silk database, and the raw silk database can match the quality performance coefficient weight factor corresponding to the diameter discrete value unit value.

[0033] Specifically, the elastic modulus reflects the rigidity and strength of the fiber precursor, which will be significantly affected by changes in water content, because the increase or decrease in water content will change the internal structure and intermolecular force of the fiber precursor, thereby causing fluctuations in its elastic modulus. Therefore, when the water content of the fiber precursor deviates significantly from the reference water content, the elastic modulus of the fiber precursor will deviate significantly from the reference elastic modulus. At the same time, the thermal expansion coefficient describes the dimensional stability of the fiber precursor under temperature changes. This parameter is also closely related to the water content, because the thermal motion of water molecules will be more intense when the temperature changes, thereby affecting the thermal expansion behavior of the fiber precursor. Therefore, when the water content of the fiber precursor deviates significantly from the reference water content, it will cause The thermal expansion coefficient of the fiber precursor deviates significantly from the reference thermal expansion coefficient. In addition, the diameter, as an important indicator for measuring the size consistency of the fiber precursor, is caused by the deviation of the initial water content and thermal expansion coefficient of the fiber precursor. Therefore, when the parameters such as the water content and thermal expansion coefficient of the fiber precursor deviate from the corresponding reference values, the fiber precursor will show a large fluctuation in diameter, that is, a large discrete value of the diameter. It is worth noting that when a certain parameter deviates significantly from its corresponding reference value, such as excessive water content, it will not only directly affect the elastic modulus and thermal expansion coefficient of the fiber precursor, but may also change the physical state of the fiber precursor, such as the discrete value of the diameter, thereby comprehensively reducing the quality performance of the fiber precursor.

[0034] Step 2: The raw material supply process parameter set is executed by the raw material rack, thereby collecting the raw material supply process parameters of the raw material rack, comprehensively evaluating the quality performance coefficient of the raw materials to evaluate the raw material supply compliance factor of the raw material rack, and comparing it with the raw material supply compliance threshold. If the raw material supply compliance factor of the raw material rack is less than the raw material supply compliance threshold, the raw material supply process of the raw material rack is controlled once.

[0035] The above raw material supply compliance threshold represents the minimum value of the reasonable range of the raw material supply compliance factor of the raw silk rack, which is extracted from the raw silk database.

[0036] Specifically, the raw material supply process of the raw silk rack is controlled once, and the specific control process is: if the raw material supply compliance factor of the raw silk rack is less than the raw material supply compliance threshold, the control system matches a supply control set of the raw silk rack from the raw silk database according to the raw material supply compliance factor of the raw silk rack, and the raw silk rack executes the supply control set once until the raw material supply compliance factor of the raw silk rack is greater than or equal to the raw material supply compliance threshold, updates the raw material supply compliance factor of the raw silk rack, and marks the above process as the first adjustment cycle, and at the same time, integrates and recycles the raw materials supplied by the raw silk rack in the supply monitoring cycle and the first adjustment cycle, and supplies them again; if the raw material supply compliance factor of the raw silk rack is greater than or equal to the raw material supply compliance threshold, the raw silk production equipment The raw materials supplied by the raw silk rack are directly processed; the raw silk database stores a primary supply control set corresponding to each raw material supply compliance factor interval. In an example embodiment, assuming that the raw material supply compliance factor of a raw silk rack belongs to a raw material supply compliance factor interval stored in the raw silk database, the primary supply control set corresponding to the raw material supply compliance factor interval includes: gradually adjusting the line speed of each rotating shaft belonging to the raw silk rack to 90% of the corresponding line speed, and gradually adjusting the supply temperature of the raw silk rack to 85% of the existing supply temperature; then the primary supply control set of the raw silk rack matched in this example embodiment includes: gradually adjusting the line speed of each rotating shaft belonging to the raw silk rack to 90% of the corresponding line speed, and gradually adjusting the supply temperature of the raw silk rack to 85% of the existing supply temperature.

[0037] It needs to be explained that, during the execution of a single supply control set for the raw silk rack, if at a certain time point, although the single supply control set has not been fully executed, for example, when the supply temperature of the raw silk rack is only adjusted to 91% of the preset supply temperature, and the line speed of each of its rotating shafts is also only adjusted to 93% of the corresponding preset line speed, the raw material supply compliance factor is already greater than or equal to the preset raw material supply compliance threshold, then it is determined that this time point marks the end of the first adjustment cycle; at the same time, the single supply control set is formulated according to the compliance requirements of the raw silk rack supply, combined with the actual operation status and historical data of the raw silk rack, and has been verified and tested to ensure that during the execution of the single supply control set, the raw material supply compliance factor of the raw silk rack can be greater than or equal to the raw material supply compliance threshold.

[0038] The raw materials supplied by the raw silk rack during the supply monitoring cycle and the first adjustment cycle are integrated and recycled, and then supplied again. In an exemplary embodiment, the integrated recycling process refers to the automatic cutting and recycling of the fiber raw silk supplied by the raw silk rack during the supply monitoring cycle and the first adjustment cycle (the fiber raw silk supplied by the raw silk rack during the supply monitoring cycle has not yet been subsequently processed in the raw silk production equipment), and at the end time point of the first adjustment cycle, the raw silk fiber joints at the end of the raw silk rack are automatically cut off, and at the start time point of the first adjustment cycle, the raw silk fiber joints at the end of the raw silk production equipment are automatically cut off. When the end time point of the first adjustment cycle is reached , a signal warning mechanism will be automatically triggered, such as a permanently lit red indicator light, to immediately notify the on-site operator. According to the instructions, the operator quickly locates the starting end of each fiber precursor on the precursor rack and connects it to the precursor production equipment. Once the connection is completed, the fiber precursor will be sent back to the production equipment to continue the subsequent supply and production flow. The cut fiber precursor part will be recovered on-site by the operator; the supply monitoring cycle and the first adjustment cycle are relatively short, and the amount of fiber precursor recovered involved does not have a substantial impact on the subsequent production process. At the same time, the fiber precursor supplied within the supply monitoring cycle does not have a substantial impact on the precursor production equipment.

[0039] Specifically, the raw material supply compliance factor of the raw material rack is evaluated, and the specific evaluation process is as follows: the raw material supply process parameters of the raw material rack include the average linear speed of each rotating shaft of the raw material rack during the supply monitoring period, the real-time tension of each detection position point of each type of raw material on the raw material rack during the supply monitoring period, the raw material sensing quality of each rotating shaft of the raw material rack at the start time of the supply monitoring period, and the raw material sensing quality of each rotating shaft of the raw material rack at the end time of the supply monitoring period; the above-mentioned supply monitoring period represents the time period for monitoring the fiber raw material supply of the raw material rack, and its specific duration is determined by the raw material rack management engineer; the average linear speed of each rotating shaft during the supply monitoring period refers to the average speed of the raw material (such as fiber raw material) driven by each rotating shaft during the supply monitoring period of the raw material rack, which can be measured by a speed sensor; the detection position of each type of raw material on the raw material rack The real-time tension of the point within the supply monitoring cycle. On the raw material rack, different types of raw materials (such as silk threads, fiber bundles, etc.) may be subject to tension during the transmission process. The real-time tension refers to the data obtained by real-time monitoring of the tension of the raw materials at each detection position point on the raw material rack within the supply monitoring cycle, wherein each detection position point is set by the raw material rack administrator, and the real-time tension can be measured by the tension sensor at each detection position point; the raw material sensing quality of each shaft belonging to the above-mentioned raw material rack at the starting time point of the supply monitoring cycle refers to the quality of the fiber raw silk on each shaft on the raw material rack at the starting time point of the supply monitoring cycle, the raw material sensing quality of each shaft belonging to the above-mentioned raw material rack at the end time point of the supply monitoring cycle, indicates the quality of the fiber raw silk on each shaft on the raw material rack at the end time point of the supply monitoring cycle, and the raw material sensing quality can be measured by the quality sensor on each shaft.

[0040] The raw material sensing mass of each rotating shaft belonging to the raw material rack at the starting time point of the supply monitoring cycle and the raw material sensing mass of each rotating shaft belonging to the raw material rack at the end time point of the supply monitoring cycle are difference processed, and the difference processing result is marked as the raw material supply mass of each rotating shaft belonging to the raw material rack during the supply monitoring cycle; the raw material supply mass of each rotating shaft belonging to the raw material rack during the supply monitoring cycle indicates the quality of the fiber raw materials transported by each rotating shaft belonging to the raw material rack during the supply monitoring cycle.

[0041] The reference raw material supply quality of each rotating shaft belonging to the raw material rack during the supply monitoring period is extracted from the raw material database, and the difference processing is performed with the raw material supply quality of each rotating shaft belonging to the corresponding raw material rack during the supply monitoring period. The processing result is marked as the raw material supply quality deviation value of each rotating shaft belonging to the raw material rack during the supply monitoring period, and the total deviation value of the raw material supply quality of the raw material rack during the supply monitoring period is accumulated; the reference raw material supply quality of each rotating shaft belonging to the raw material rack during the supply monitoring period represents the reference value of the raw material supply quality of each rotating shaft belonging to the raw material rack during the supply monitoring period; the total deviation value of the raw material supply quality of the raw material rack during the supply monitoring period refers to the sum of the differences between the actual raw material supply quality of each rotating shaft belonging to the raw material rack and the reference raw material supply quality.

[0042] The real-time tension of each detection position point of each type of raw material on the raw silk rack within the supply monitoring period is averaged, and the processing result is marked as the average tension of each type of raw material on the raw silk rack within the supply monitoring period; the above-mentioned average tension of each type of raw material on the raw silk rack within the supply monitoring period refers to first averaging the real-time tension of each detection position point within the supply monitoring period to obtain the average tension of each detection position point of each type of raw material within the supply monitoring period, and then averaging the average tension of each detection position point of each type of raw material within the supply monitoring period to obtain the average tension of each type of raw material on the raw silk rack within the supply monitoring period; the above-mentioned average tension of each type of raw material on the raw silk rack within the supply monitoring period refers to the average value of the tensions to which each type of raw material on the raw silk rack is subjected during the supply monitoring period.

[0043] According to the thermal expansion coefficient of each raw material, the tension requirement reference value of each raw material is matched from the raw silk database; the specific matching rules for the tension requirement reference value of the above-mentioned various raw materials are as follows: the raw silk database stores the tension requirement reference value corresponding to each thermal expansion coefficient interval, and the thermal expansion coefficient interval corresponding to the thermal expansion coefficient of each raw material in the raw silk database is queried to obtain the tension requirement reference value of each raw material.

[0044] The quality performance coefficient of the raw materials, the average linear speed of each rotating shaft of the raw silk rack during the supply monitoring period, the total deviation value of the raw material supply quality of the raw silk rack during the supply monitoring period, the average tension of each type of raw material on the raw silk rack during the supply monitoring period, and the reference value of the tension demand of each type of raw material are comprehensively evaluated to obtain the raw material supply compliance factor of the raw silk rack; in this embodiment, the raw material supply compliance factor of the raw silk rack represents the numerical value of the compliance degree of the raw material supply process of the raw silk rack.

[0045] Furthermore, the raw material supply compliance factor of the raw silk rack is specifically evaluated by:

[0046]

[0047] Where CFS is the raw material supply compliance factor of the raw silk rack, β is the quality performance coefficient of the raw material, Y is the weight factor corresponding to the quality performance coefficient, and AAV a is the average linear speed of the ath rotating shaft of the raw yarn rack during the supply monitoring period, TDQ is the total deviation value of the raw material supply quality of the raw yarn rack during the supply monitoring period, and ATL is s AAV is the average tension of the sth type of raw material on the raw yarn rack during the supply monitoring period. a Δ is the reference average linear speed of the ath axis preset in the raw silk database, ATL s Δ is the reference value of the tension requirement of the sth type of raw material, GU is the raw material supply compliance weight factor corresponding to the unit value of the total raw material supply quality deviation value preset in the raw silk database, s is the number of each type of raw material, s = {1,2,3,...,w}, w is the total number of raw material types, a is the number of each shaft, a = {1,2,3,...,r}, r is the total number of shafts, and e is a natural constant.

[0048] The reference average linear speed of the ath rotating shaft mentioned above represents the reference value of the average linear speed of the ath rotating shaft of the raw fiber rack during the supply monitoring period; the reference value of the tension requirement of the sth type of raw material mentioned above represents the expected tension level for the sth type of fiber raw fiber in order to maintain its stable, continuous and high-quality supply state during the fiber raw fiber supply process.

[0049] The weight factor corresponding to the above-mentioned quality performance coefficient represents the proportion of the quality performance coefficient of the raw material to the raw material supply compliance factor of the raw material rack. The raw material database stores the corresponding relationship between the quality performance coefficient of the raw material and its corresponding weight factor. For example, the quality performance coefficient of the raw material is input into the raw material database, and the raw material database can match the weight factor corresponding to the quality performance coefficient.

[0050] The raw material supply compliance weighting factor corresponding to the unit value of the total raw material supply quality deviation value represents the degree of influence of the unit value of the total raw material supply quality deviation value on the raw material supply compliance factor of the raw silk rack. The raw silk database stores the corresponding relationship between the total raw material supply quality deviation value and the corresponding raw material supply compliance weighting factor. For example, the total raw material supply quality deviation value is input into the raw silk database, and the raw silk database can match the raw material supply compliance weighting factor corresponding to the unit value of the total raw material supply quality deviation value.

[0051] The quality performance coefficient of fiber precursor is one of the key factors in evaluating the compliance of raw material supply of the precursor rack. When the quality of the fiber precursor is excellent, even if there are small deviations in some parameters during the supply process, such as the linear speed of the rotating shaft of the precursor rack, these deviations often do not have a significant impact on the supply stability and overall quality of the fiber precursor. It can be considered that high-quality raw materials have a certain fault tolerance and stability, which can offset or alleviate the adverse effects of parameter deviations to a certain extent. Therefore, when considering the raw material supply compliance factor of the precursor rack, the quality performance coefficient of the raw material must also be considered comprehensively. At the same time, when the average linear speed of the rotating shaft of the precursor rack deviates from its reference average linear speed, it indicates that the supply speed of the fiber precursor has changed, and this change may cause the fiber precursor to The unstable flow during the supply process increases the total deviation of the fiber precursor supply quality, causing fluctuations in the quality distribution and performance parameters of the fiber precursor. At the same time, changes in the fiber precursor supply speed also affect the tension state of the fiber precursor during the supply process, causing the average tension of the fiber precursor to deviate from its tension demand reference value. The tension deviation may cause the arrangement and orientation of the fibers inside the fiber precursor to become disordered, thereby affecting its tensile strength and elongation at break, and may also have an adverse effect on subsequent production processes and product quality, such as causing unstable spinning speed, thereby affecting the uniformity and continuity of the fiber. Therefore, the interaction and correlation between these parameters jointly reduce the compliance of the raw material supply of the precursor rack, while reducing the one-sidedness of single parameter analysis.

[0052] Step 3: The raw silk production equipment processes the raw materials supplied by the raw silk rack, monitors the production process parameters of the raw silk production equipment, determines the production stability index of the raw silk production equipment based on the raw silk rack's raw material supply compliance factor, and compares it with the production stability threshold, thereby determining whether to perform secondary control on the raw material supply process of the raw silk rack.

[0053] The above-mentioned production stability threshold value represents the minimum value of the reasonable range of the production stability index of the raw silk production equipment, which is extracted from the raw silk database; the above-mentioned raw silk production equipment refers to the equipment that performs subsequent processing on the fiber raw silk transported by the raw silk rack.

[0054] In a specific embodiment, the present invention controls the operation of the raw material rack from the raw material supply process of the raw material rack and the production process of the production equipment, effectively reducing the one-sidedness caused by controlling only from a single dimension, while ensuring that each link in the raw material production process is closely connected and coordinated, thereby making the entire raw material production process more coherent and efficient.

[0055] Specifically, the determination of whether to perform secondary control on the raw material supply process of the raw silk rack is as follows: if the production stability index of the raw silk production equipment is less than the production stability threshold, the control system matches the secondary supply control set of the raw silk rack from the raw silk database according to the production stability index of the raw silk production equipment, and the raw silk rack executes the secondary supply control set to ensure that the raw material supply compliance factor of the raw silk rack is greater than or equal to the raw material supply compliance threshold, and the above process is marked as the second adjustment cycle, and at the same time, the control system integrates and recycles the raw materials supplied by the raw silk rack within the second adjustment cycle, and re-supplies them; at the same time, according to the production stability index of the raw silk production equipment, the production control set of the raw silk production equipment is matched from the raw silk database, the raw silk production equipment executes the production control set, and the raw materials received by the raw silk production equipment within the production management cycle are recycled and controlled; if the production stability index of the raw silk production equipment is greater than or equal to the production stability index, the raw silk production equipment executes the production control set, and the raw materials received by the raw silk production equipment within the production management cycle are recycled and controlled. The raw material supply process parameters of the raw silk rack are continuously collected according to the production stability threshold; the raw silk database stores the secondary supply control set corresponding to each production stability index interval. In an exemplary embodiment, the production stability index of a raw silk production equipment belongs to a production stability index interval stored in the raw silk database, and the secondary supply control set corresponding to the production stability index interval includes: gradually adjusting the angular velocity of each rotating shaft belonging to the raw silk rack to 90% of the corresponding angular velocity, gradually adjusting the supply temperature of the raw silk rack to 85% of the existing supply temperature, and gradually adjusting the supply humidity of the raw silk rack to 70% of the existing supply humidity; then the secondary supply control set of the raw silk rack obtained by matching the production stability index of the raw silk production equipment includes: gradually adjusting the angular velocity of each rotating shaft belonging to the raw silk rack to 90% of the corresponding angular velocity, gradually adjusting the supply temperature of the raw silk rack to 85% of the existing supply temperature, and gradually adjusting the supply humidity of the raw silk rack to 70% of the existing supply humidity.

[0056] The raw silk database stores production control sets of raw silk production equipment corresponding to each production stability index interval. In an example embodiment, the production stability index of a raw silk production equipment belongs to a production stability index interval stored in the raw silk database, and the production control set of the raw silk production equipment corresponding to the production stability index interval includes: increasing the production efficiency to 120% of the existing production efficiency, specifically increasing the production pressure of the raw silk production equipment to 135% of the existing production pressure, increasing the production temperature of the raw silk production equipment to 125% of the existing production temperature, and increasing the rotation speed of the raw silk production equipment to 115% of the existing rotation speed; then the production control set of the raw silk production equipment obtained by matching the production stability index of the raw silk production equipment includes: increasing the production efficiency to 120% of the existing production efficiency, specifically increasing the production pressure of the raw silk production equipment to 135% of the existing production pressure, increasing the production temperature of the raw silk production equipment to 125% of the existing production temperature, and increasing the rotation speed of the raw silk production equipment to 115% of the existing rotation speed.

[0057] It needs to be explained that when the raw silk rack executes the secondary supply control set, the raw material supply compliance factor of the raw silk rack is guaranteed to be always greater than or equal to the raw material supply compliance threshold. Therefore, the secondary supply control set of the raw silk rack must be executed completely, otherwise it is impossible to find the conditions for stopping execution during the execution process; the duration of the raw silk production equipment executing the production control set will be less than or equal to the duration corresponding to the second adjustment cycle to ensure that the subsequent receipt of fiber raw silk can be restored to the normal processing state in a timely and smooth manner. After the raw silk production equipment executes the production control set, the production stability index of the raw silk production equipment can be greater than or equal to the production stability threshold.

[0058] The above-mentioned control of the raw materials received by the raw silk production equipment during the production management cycle refers to triggering an early warning mechanism (such as a normally-lit yellow indicator light), and the operator determines whether the fiber raw silk received by the raw silk production equipment during the production management cycle meets the production process. If it meets the requirements, no control will be performed; if not, the operator will recycle it.

[0059] The above-mentioned integration and recycling of the raw materials supplied by the raw silk rack during the second adjustment period, in an exemplary embodiment, refers to the automatic cutting and recycling of the fiber raw silk supplied by the raw silk rack during the second adjustment period (the fiber raw silk supplied by the raw silk rack during the second adjustment period has not yet been subsequently processed in the raw silk production equipment), and at the end time point of the second adjustment period, the fiber joints of each raw silk end at the raw silk rack end are automatically cut off, and at the start time point of the second adjustment period, the fiber raw silk joints of each raw silk end at the raw silk production equipment end are automatically cut off. When the end time point of the second adjustment period is reached, a signal warning mechanism will be automatically triggered, such as a permanently lit red indicator light, to immediately notify the on-site operator. The operator will quickly locate the starting end of each fiber raw silk on the raw silk rack according to the instructions and connect it to the raw silk production equipment. Once the connection is completed, the fiber raw silk will be re-sent into the production equipment to continue the subsequent supply and production flow, and the cut fiber raw silk part will be recycled on-site by the operator; the second adjustment period is relatively short, and the amount of fiber raw silk recycled involved does not constitute a substantial impact on the subsequent production process.

[0060] Furthermore, the production stability index of the raw silk production equipment is determined, and the specific determination process is as follows: the production process parameters of the raw silk production equipment include the average raw material flow of the raw silk production equipment during the production management cycle, the average production efficiency of the raw silk production equipment during the production management cycle, and the equipment utilization rate of the raw silk production equipment during the production management cycle; the above-mentioned production management cycle represents the time period for monitoring and managing the process of processing fiber raw silk by the raw silk production equipment, and its specific duration is determined by the raw silk rack management engineer; the average raw material flow of the above-mentioned raw silk production equipment during the production management cycle represents the quality of fiber raw silk received by the raw silk production equipment per unit time during the production management cycle, which can be monitored by a mass flowmeter installed at the raw material input end of the raw silk production equipment; the average production efficiency of the above-mentioned raw silk production equipment during the production management cycle represents The raw silk production equipment production log records the actual operation time of each device in detail during the production management cycle, including the start-up time, shutdown time and fault time, etc. The total available time of the equipment refers to the total time that the equipment can theoretically operate, which is usually equal to the duration of the production management cycle minus the planned downtime (such as maintenance and overhaul, etc.). The equipment utilization rate is calculated based on the recorded equipment operation time and the total available time of the equipment. The equipment utilization rate can be calculated by the following formula: Equipment utilization rate = actual operation time / total available time of the equipment.

[0061] The raw material supply compliance factor of the raw silk rack, the average raw material flow of the raw silk production equipment during the production management cycle, the average production efficiency of the raw silk production equipment during the production management cycle, and the equipment utilization rate of the raw silk production equipment during the production management cycle are comprehensively determined to obtain the production stability index of the raw silk production equipment. It should be explained that the raw material supply compliance factor of the raw silk rack in the production stability index of the raw silk production equipment is greater than or equal to the raw material supply compliance threshold. If it is analyzed in the supply monitoring cycle that the raw material supply compliance factor of the raw silk rack is less than the raw material supply compliance threshold, then the raw material supply compliance factor of the raw silk rack here is the raw material supply compliance factor of the raw silk rack after the raw material supply process of the raw silk rack is controlled once.

[0062] In this embodiment, the production stability index of the raw silk production equipment represents the value of the production stability of the raw silk production equipment, and the specific determination method is:

[0063]

[0064] In the formula, PSE is the production stability index of the raw silk production equipment, CFS is the raw material supply compliance factor of the raw silk rack, GH is the weight factor corresponding to the raw material supply compliance factor preset in the raw silk database, RMT is the average raw material flow of the raw silk production equipment during the production management cycle, PE is the average production efficiency of the raw silk production equipment during the production management cycle, ER is the equipment utilization rate of the raw silk production equipment during the production management cycle, and RMT Δ is the reference average raw material flow rate preset in the raw silk database, OU1 is the production stability index weighting factor corresponding to the average production efficiency unit value preset in the raw silk database, OU2 is the production stability index weighting factor corresponding to the equipment utilization unit value preset in the raw silk database, and e is a natural constant.

[0065] The above-mentioned reference average raw material flow rate represents the reference value of the average raw material flow rate of the raw silk production equipment during the production management cycle.

[0066] The weight factor corresponding to the above-mentioned raw material supply compliance factor represents the proportion of the raw material supply compliance factor of the raw silk rack to the production stability index of the raw silk production equipment. The raw silk database stores the corresponding relationship between the raw material supply compliance factor and its corresponding weight factor. For example, the raw material supply compliance factor is input into the raw silk database, and the raw silk database can match the weight factor corresponding to the raw material supply compliance factor.

[0067] The production stability index weighting factor corresponding to the above-mentioned average production efficiency unit value represents the degree of influence of the average production efficiency unit value on the production stability index of the raw silk production equipment. The raw silk database stores the corresponding relationship between the average production efficiency and its corresponding production stability index weighting factor. For example, if the average production efficiency is input into the raw silk database, the raw silk database can match the production stability index weighting factor corresponding to the average production efficiency unit value.

[0068] The production stability index weighting factor corresponding to the above-mentioned unit value of equipment utilization represents the degree of influence of the unit value of equipment utilization on the production stability index of raw silk production equipment. The raw silk database stores the correspondence between the equipment utilization and its corresponding production stability index weighting factor. For example, when the equipment utilization is input into the raw silk database, the raw silk database can match the production stability index weighting factor corresponding to the unit value of equipment utilization.

[0069] When the raw material supply compliance factor is high, it means that the supply of fiber precursors is stable and the supply quality is reliable, which helps to reduce interruptions and abnormalities in the production process, thereby improving the production stability index of the precursor production equipment. Therefore, the raw material supply compliance factor of the precursor rack is integrated with the production stability index of the precursor production equipment for analysis. At the same time, when the average raw material flow rate of the precursor production equipment is close to or reaches the preset reference average raw material flow rate, it indicates that the supply of fiber precursors is stable, which is conducive to maintaining the continuity and stability of production. At this time, the average production efficiency of the precursor production equipment is often also high, because a stable raw material supply can reduce production interruptions and equipment idling time, thereby improving production efficiency. At the same time, high equipment utilization also reflects that the effective working time of the equipment in the production management cycle accounts for a high proportion, further The stability and efficiency of production are enhanced. However, when the average raw material flow rate deviates significantly from the reference average raw material flow rate, it may lead to insufficient or excessive supply of fiber precursors, thereby affecting the continuity and stability of production, and may also cause abnormal conditions such as blockage in the precursor production equipment, further making the equipment utilization rate and production efficiency of the precursor production equipment significantly deviate from the corresponding reference values, indicating that the production stability of the precursor production equipment is low. At this time, in order to maintain the stability of production and the stable operation of the precursor production equipment, the control of the precursor rack becomes particularly important. By adjusting the operating parameters of the precursor rack, it can be ensured that the fiber precursor enters the production equipment with a stable flow and high quality, effectively reducing the basic abnormalities caused by the supply of fiber raw materials, and preventing these abnormal conditions from further deteriorating and expanding.

[0070] In this exemplary embodiment, the production stability index of the above-mentioned raw silk production equipment and the change table of its corresponding parameters are shown in Table 1:

[0071] Table 1 Changes in the production stability index of raw silk production equipment and its corresponding parameters

[0072]

[0073] In this example embodiment, the value of the weight factor corresponding to the raw material supply compliance factor is set to 0.054, the value of the production stability index weight factor corresponding to the average production efficiency unit value is set to 0.023, the value of the production stability index weight factor corresponding to the equipment utilization unit value is set to 0.027, and the reference average raw material flow rate is set to 145 g / min. It can be seen from Table 1 that when the raw material supply compliance factor is at a higher level (296%), it indicates that the fiber precursor supply is relatively qualified, and the precursor production equipment can carry out relatively stable subsequent processing, which is manifested in that the average raw material flow rate deviates less from the reference average raw material flow rate (150 g / min deviates less from 145 g / min) and the average production efficiency and equipment utilization are both at a higher level (145 g / min and 85% respectively). Finally, the production stability is relatively high, which is specifically manifested in that the production stability index is at a high level of 2299%.

[0074] In a specific embodiment, the present invention provides a raw material control method for raw silk equipment production, which deeply analyzes the quality parameters of the raw materials on the raw silk rack, accurately analyzes the quality performance coefficient of the raw materials, and automatically matches the optimal raw material supply process parameter set based on this. After the raw silk rack executes the parameter set, the compliance factor of the raw material supply is further evaluated, so as to intelligently determine whether primary control is needed. At the same time, the production process parameters of the raw silk production equipment are continuously monitored, the production stability index is accurately determined, and it is determined whether necessary secondary control is performed on the raw material supply process. This series of intelligent operations not only significantly improves the stability of the raw silk supply of the raw silk rack, but also ensures the consistency of the raw silk supply and the production process, reduces production interruptions caused by raw silk supply problems, and enables the production line to operate continuously and stably.

[0075] Reference Figure 2 As shown, the second aspect of the present invention provides a system using a raw material control method for raw silk equipment production as described above, including: a supply process matching module, a raw silk rack primary control module and a raw silk rack secondary control module.

[0076] The second aspect of the present invention provides a system for applying a raw material control method for raw silk equipment production as described above, and also includes a raw silk database, which is used to store a reference thermal expansion coefficient, a reference elastic modulus, a reference moisture content, a quality performance coefficient weight factor corresponding to a unit value of a diameter discrete value, a raw material supply process parameter set corresponding to each quality performance coefficient interval, a reference raw material supply quality of each rotating shaft belonging to a raw silk rack within a supply monitoring period, a tension demand reference value, a reference average line speed, a raw material supply compliance weight factor corresponding to a unit value of a total deviation value of raw material supply quality, a primary supply control set of a raw silk rack, a weight factor corresponding to a raw material supply compliance factor, a reference average raw material flow rate, a production stability index weight factor corresponding to a unit value of an average production efficiency, a production stability index weight factor corresponding to a unit value of an equipment utilization rate, a secondary supply control set of a raw silk rack, and a production control set of raw silk production equipment.

[0077] The supply process matching module is connected to the raw silk rack primary control module, the raw silk rack primary control module is connected to the raw silk rack secondary control module, and the supply process matching module, the raw silk rack primary control module and the raw silk rack secondary control module are all connected to the raw silk database.

[0078] The supply process matching module is used to obtain the quality parameters of the raw materials on the raw yarn rack, analyze the quality performance coefficient of the raw materials, and match the raw material supply process parameter set.

[0079] The raw silk rack primary control module is used for the raw silk rack to execute the raw material supply process parameter set, thereby collecting the raw material supply process parameters of the raw silk rack, comprehensively evaluating the quality performance coefficient of the raw materials to evaluate the raw material supply compliance factor of the raw silk rack, and comparing it with the raw material supply compliance threshold. If the raw material supply compliance factor of the raw silk rack is less than the raw material supply compliance threshold, the raw material supply process of the raw silk rack is controlled once.

[0080] The raw silk rack secondary control module is used for the raw silk production equipment to process the raw materials supplied by the raw silk rack, monitor the production process parameters of the raw silk production equipment, comprehensively consider the raw material supply compliance factors of the raw silk rack to determine the production stability index of the raw silk production equipment, and compare it with the production stability threshold, thereby determining whether to perform secondary control on the raw material supply process of the raw silk rack.

[0081] The third aspect of the present invention provides a device that uses a raw material control method for raw silk equipment production as described above, including: a processor and a control system; the processor is used to sequentially process the quality parameters of the raw materials on the raw silk rack, the raw material supply process parameters of the raw silk rack, and the production process parameters of the raw silk production equipment, and transmit the obtained quality performance coefficient of the raw materials, the raw material supply compliance factor of the raw silk rack, and the production stability index of the raw silk production equipment to the control system via the network; the control system is used to receive the quality performance coefficient of the raw materials, the raw material supply compliance factor of the raw silk rack, and the production stability index of the raw silk production equipment from the processor, and control the raw silk rack and the raw silk production equipment, thereby completing raw material control.

[0082] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field 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 structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A raw material control method for raw silk production equipment, characterized in that: include: Step 1: Obtain the quality parameters of the raw materials on the raw yarn rack, analyze the quality performance coefficient of the raw materials, and match the raw material supply process parameter set; Step 2: The raw material supply process parameter set is executed by the raw material rack, thereby collecting the raw material supply process parameters of the raw material rack, comprehensively evaluating the raw material quality performance coefficient to obtain the raw material supply compliance factor of the raw material rack, and comparing it with the raw material supply compliance threshold. If the raw material supply compliance factor of the raw material rack is less than the raw material supply compliance threshold, the raw material supply process of the raw material rack is controlled once; Step 3: The raw silk production equipment processes the raw materials supplied by the raw silk rack, monitors the production process parameters of the raw silk production equipment, determines the production stability index of the raw silk production equipment based on the raw silk rack's raw material supply compliance factor, and compares it with the production stability threshold, thereby determining whether to perform secondary control on the raw material supply process of the raw silk rack.

2. A raw material control method for raw silk production equipment according to claim 1, characterized in that: The quality performance coefficient of the raw material is analyzed, and the specific analysis process is: The quality parameters of the raw materials on the raw yarn rack include the elastic modulus of each type of raw material, the diameter of each sample position point belonging to each type of raw material, and the water content of each type of raw material; The diameters of the sample positions of each type of raw material are processed by standard deviation, and the processing results are marked as the discrete values ​​of the diameters of each type of raw material; Obtain the average temperature of the environment of each raw material within the quality response period, and match the thermal expansion coefficient of each raw material from the raw silk database; The elastic modulus, water content, thermal expansion coefficient and diameter discrete value of various raw materials are comprehensively analyzed to obtain the quality performance coefficient of the raw materials.

3. A raw material control method for raw silk production according to claim 1, characterized in that: The matching process parameter set of the raw material supply process is specifically as follows: The quality performance coefficient of the raw materials belonging to the raw silk rack is matched with the raw material supply process parameter set corresponding to each quality performance coefficient interval stored in the raw silk database, thereby matching the raw material supply process parameter set.

4. The raw material control method for raw silk production according to claim 1, characterized in that: The specific evaluation process of evaluating the raw material supply compliance factor of the raw silk rack is as follows: The raw material supply process parameters of the raw material rack include the average linear speed of each rotating shaft of the raw material rack during the supply monitoring period, the real-time tension of each detection position point of each type of raw material on the raw material rack during the supply monitoring period, the raw material sensing quality of each rotating shaft of the raw material rack at the start time of the supply monitoring period, and the raw material sensing quality of each rotating shaft of the raw material rack at the end time of the supply monitoring period; Performing difference processing on the raw material sensing mass of each rotating shaft belonging to the raw material rack at the start time of the supply monitoring cycle and the raw material sensing mass of each rotating shaft belonging to the raw material rack at the end time of the supply monitoring cycle, and marking the difference processing result as the raw material supply mass of each rotating shaft belonging to the raw material rack within the supply monitoring cycle; Extract the reference raw material supply quality of each rotating shaft of the raw material rack within the supply monitoring period from the raw material database, and perform difference processing with the raw material supply quality of each rotating shaft of the corresponding raw material rack within the supply monitoring period. The processing result is marked as the raw material supply quality deviation value of each rotating shaft of the raw material rack within the supply monitoring period, and the total raw material supply quality deviation value of the raw material rack within the supply monitoring period is accumulated; The real-time tension of each detection position point of each type of raw material on the raw silk rack during the supply monitoring period is averaged, and the processing result is marked as the average tension of each type of raw material on the raw silk rack during the supply monitoring period; According to the thermal expansion coefficient of various raw materials, the tension requirement reference value of various raw materials is matched from the raw silk database; The raw material supply compliance factor of the raw material rack is obtained by comprehensively evaluating the quality performance coefficient of the raw materials, the average linear speed of each shaft of the raw material rack during the supply monitoring period, the total deviation value of the raw material supply quality of the raw material rack during the supply monitoring period, the average tension of various raw materials on the raw material rack during the supply monitoring period and the tension demand reference value of various raw materials.

5. A raw material control method for raw silk production equipment according to claim 4, characterized in that: The specific evaluation method of the raw material supply compliance factor of the raw silk rack is as follows: Where CFS is the raw material supply compliance factor of the raw silk rack, β is the quality performance coefficient of the raw material, Y is the weight factor corresponding to the quality performance coefficient, and AAV a is the average linear speed of the ath rotating shaft of the raw yarn rack during the supply monitoring period, TDQ is the total deviation value of the raw material supply quality of the raw yarn rack during the supply monitoring period, and ATL is s AAV is the average tension of the sth type of raw material on the raw yarn rack during the supply monitoring period. a Δ is the reference average linear speed of the ath axis preset in the raw silk database, ATL s Δ is the reference value of the tension requirement of the sth type of raw material, GU is the raw material supply compliance weight factor corresponding to the unit value of the total raw material supply quality deviation value preset in the raw silk database, s is the number of each type of raw material, s = {1,2,3,...,w}, w is the total number of raw material types, a is the number of each shaft, a = {1,2,3,...,r}, r is the total number of shafts, and e is a natural constant.

6. The raw material control method for raw silk production equipment according to claim 1, characterized in that: The raw material supply process of the raw yarn rack is controlled once, and the specific control process is: If the raw material supply compliance factor of the raw silk rack is less than the raw material supply compliance threshold, the control system matches a supply control set of the raw silk rack from the raw silk database according to the raw material supply compliance factor of the raw silk rack, and the raw silk rack executes the supply control set once until the raw material supply compliance factor of the raw silk rack is greater than or equal to the raw material supply compliance threshold, updates the raw material supply compliance factor of the raw silk rack, and marks the above process as the first adjustment cycle, and at the same time, integrates and recycles the raw materials supplied by the raw silk rack in the supply monitoring cycle and the first adjustment cycle, and supplies them again; If the raw material supply compliance factor of the raw silk rack is greater than or equal to the raw material supply compliance threshold, the raw silk production equipment directly processes the raw materials supplied by the raw silk rack.

7. The raw material control method for raw silk production equipment according to claim 1, characterized in that: The specific determination process of determining the production stability index of the raw silk production equipment is as follows: The production process parameters of the raw silk production equipment include the average raw material flow rate of the raw silk production equipment during the production management cycle, the average production efficiency of the raw silk production equipment during the production management cycle, and the equipment utilization rate of the raw silk production equipment during the production management cycle; The production stability index of the raw material production equipment is obtained by comprehensively determining the raw material supply compliance factor of the raw material rack, the average raw material flow of the raw material production equipment during the production management cycle, the average production efficiency of the raw material production equipment during the production management cycle, and the equipment utilization rate of the raw material production equipment during the production management cycle.

8. The raw material control method for raw silk production according to claim 1, characterized in that: The specific determination process of whether to perform secondary control on the raw material supply process of the raw yarn rack is as follows: If the production stability index of the raw silk production equipment is less than the production stability threshold, the control system matches the secondary supply control set of the raw silk rack from the raw silk database according to the production stability index of the raw silk production equipment, and the raw silk rack executes the secondary supply control set to ensure that the raw material supply compliance factor of the raw silk rack is greater than or equal to the raw material supply compliance threshold, and the above process is marked as the second adjustment cycle, and the raw materials supplied by the raw silk rack in the second adjustment cycle are integrated and recycled, and re-supplied; At the same time, the control system matches the production control set of the raw silk production equipment from the raw silk database according to the production stability index of the raw silk production equipment, and the raw silk production equipment executes the production control set, and controls the recovery of the raw materials received by the raw silk production equipment within the production management cycle; If the production stability index of the raw silk production equipment is greater than or equal to the production stability threshold, the raw material supply process parameters of the raw silk rack are continuously collected.

9. A system using a raw material control method for raw silk production equipment as claimed in any one of claims 1 to 8, characterized in that: include: The supply process matching module is used to obtain the quality parameters of the raw materials on the raw yarn rack, analyze the quality performance coefficient of the raw materials, and match the raw material supply process parameter set; The primary control module of the raw yarn rack is used for the raw yarn rack to execute the raw material supply process parameter set, thereby collecting the raw material supply process parameters of the raw yarn rack, comprehensively evaluating the raw material quality performance coefficient to evaluate the raw material supply compliance factor of the raw yarn rack, and comparing it with the raw material supply compliance threshold. If the raw material supply compliance factor of the raw yarn rack is less than the raw material supply compliance threshold, the raw material supply process of the raw yarn rack is controlled once; The secondary control module of the raw silk rack is used for the raw silk production equipment to process the raw materials supplied by the raw silk rack, monitor the production process parameters of the raw silk production equipment, comprehensively consider the raw material supply compliance factors of the raw silk rack to determine the production stability index of the raw silk production equipment, and compare it with the production stability threshold, thereby determining whether to perform secondary control on the raw material supply process of the raw silk rack.

10. A device using a raw material control method for raw silk production equipment as claimed in any one of claims 1 to 8, characterized in that: include: Processor and control system; The processor is used to sequentially process the quality parameters of the raw materials on the raw silk rack, the raw material supply process parameters of the raw silk rack, and the production process parameters of the raw silk production equipment, and transmit the obtained quality performance coefficient of the raw materials, the raw material supply compliance factor of the raw silk rack, and the production stability index of the raw silk production equipment to the control system through the network; The control system is used to receive the quality performance coefficient of the raw materials of the processor, the raw material supply compliance factor of the raw silk rack and the production stability index of the raw silk production equipment, and control the raw silk rack and the raw silk production equipment to complete the raw material control.

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