A drying control method for textiles

Abstract

The present invention discloses a drying control method for textiles, the method comprising: using a drum dryer to dry textile fabrics; a processor to collect various parameters of the textiles; determining the conditions required for drying the textiles; the processor to calculate the drying time according to the textile parameters and the drying conditions; the processor to calculate the evaporation rate of the textiles according to the textile parameters and the drying conditions; the processor to calculate the air volume of the dryer according to the textile parameters and the drying conditions; the drying parameters are comprehensively analyzed and optimized according to the drying requirements of the textiles; the processor records the data of this drying and stores it in the cloud. The method of the present invention uses a processor to calculate and optimize various parameters in the drying process, and in the drying process, a corresponding control program is used to carry out targeted drying according to the characteristics of the textiles, so that the specific control of these parameters during drying can reduce the deformation and damage problems caused by the drying of the textiles, and improve the production quality of the textiles.

Description

Technical Field

[0001] The invention relates to the technical field of textile drying control, and in particular to a textile drying control method. Background Art

[0002] As an important traditional industrial field, the textile industry has a long history of development. With the continuous advancement of science and technology and the increasing diversification of consumer demand, the quality and performance requirements of textiles are also constantly improving. After processing, textiles often contain a certain amount of moisture, which will have an adverse effect on the subsequent use and storage of textiles. Therefore, drying has become an indispensable part of the textile processing process.

[0003] Textile drying is not just about removing moisture. It also needs to consider the impact of the drying process on the physical properties and appearance of the textiles. For example, too high a temperature or too long a drying time may cause the textiles to deform, shrink, change color, and other problems; while insufficient drying will affect the subsequent processing and use of the textiles. Therefore, a scientific and reasonable textile drying control method is particularly important.

[0004] At present, when drying textiles on the market, a certain tension is often applied to the textiles during the drying process, which may cause deformation or damage to the textiles. In addition, the drying process only starts with a preset program, and the textiles cannot be dried according to the characteristics of the textiles and the different drying processes, which results in certain usage defects. Summary of the invention

[0005] The present invention provides a drying control method for textiles, which uses a processor to calculate and optimize various parameters in the drying process, and performs targeted drying according to the characteristics of the textiles, so that the specific control of these parameters during drying can reduce the deformation and damage problems caused by the drying of the textiles and improve the production quality of the textiles.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] The present invention provides a method for controlling the drying of textiles, comprising:

[0008] S1 uses a drum dryer to dry textile fabrics;

[0009] The S2 processor collects various parameters of textiles;

[0010] S3 determines the conditions required for textile drying;

[0011] The S4 processor calculates the drying time based on textile parameters and drying conditions;

[0012] The S5 processor calculates the evaporation rate of the textile based on the textile parameters and drying conditions;

[0013] The S6 processor calculates the dryer’s air output based on textile parameters and drying conditions;

[0014] S7 comprehensively analyzes and optimizes drying parameters according to the drying requirements of textiles;

[0015] The S8 processor records the drying data and stores it in the cloud.

[0016] Compared with the prior art, the present invention has the following beneficial effects:

[0017] 1. The present invention collects various parameters of the textile itself and determines the conditions required for drying the textile before the drying process begins, so as to carry out targeted drying according to different characteristics of the textile, and can control the program accordingly during the drying process according to the drying requirements to meet the production requirements of the enterprise.

[0018] 2. The present invention can calculate various drying parameters of the drying equipment during the drying process, including time, temperature, and air volume. By specifically controlling these parameters during drying, the deformation and damage problems caused by drying of textiles can be reduced, thereby improving the production quality of textiles.

[0019] 3. The present invention can integrate and optimize various parameters during drying through comprehensive analysis and calculation of the drying equipment, so that the drying equipment can more accurately control the drying quality of textiles, and further improve the quality of textile drying. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. 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 creative work.

[0021] Figure 1 is a flow chart of a drying control method for textiles provided by an embodiment of the present invention;

[0022] Figure 2 A test diagram of a textile fabric flat sample database provided by an embodiment of the present invention;

[0023] Figure 3 A schematic diagram of the change in moisture content of a textile provided by an embodiment of the present invention;

[0024] Figure 4 A schematic diagram of the relationship between the energy consumption index, drying efficiency and relative humidity inside the dryer provided in an embodiment of the present invention;

[0025] Figure 5 A system structure diagram provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0027] See also Figure 1-Figure 5 The present invention provides a method for controlling the drying of textiles, comprising:

[0028] S1 uses a drum dryer to dry textile fabrics;

[0029] S101, the drum dryer adopts the TD6-6LAB model, and the drum dryer is controlled by a PC;

[0030] It should be noted that in the actual production process, not only drum dryers can be used for drying, but other types of dryers (such as loose-type dryers) can also be used for drying operations.

[0031] S102, the PC side serves as a receiving terminal, and the PC side uses the processor as a transmission middle end to calculate various parameters of the drying process.

[0032] It should be noted that the present invention requires real-time control of the drying parameters, so the amount of calculation is relatively large. RTX4060CPU is used for calculation here, and GTX3080CPU or above can be used in the actual production process.

[0033] The S2 processor collects various parameters of textiles;

[0034] S201, the parameters collected by the processor include fabric, humidity, and thickness of the textile;

[0035] It should be noted that the various parameters collected by the processor can be collected manually, or an additional collection step can be added before the drying process. The collection methods are all existing technologies and will not be described in detail here.

[0036] S202, the fabric of the textile is determined by taking a picture with a high-precision digital microscope system and comparing it with a database;

[0037] It should be noted that the database can be established by manual identification through archiving by a digital microscope system, or by referring to the existing textile fabric database on the market.

[0038] S203, the humidity of the textile is detected by a test circuit designed with a CAV424 chip;

[0039] S204, measuring the thickness of the textile by a fabric thickness meter.

[0040] S3 determines the conditions required for textile drying;

[0041] It should be noted that the drying conditions may vary according to different production requirements. In the actual production process, the drying conditions may be set by testing in an experimental manner.

[0042] S301, the drying conditions of the textile are inputted by a staff into a PC and received and processed by a processor;

[0043] S302, the drying conditions include uniformity of drying of the textile, shrinkage rate of the textile, and electrostatic properties of the textile.

[0044] The S4 processor calculates the drying time based on textile parameters and drying conditions;

[0045] S401, the processor calculates the rate at which the drying device is in the drying stage, as shown in formula (1);

[0046] Formula (1)

[0047] in, Represents the drying rate; Represents the quality of bone-dry textiles; Represents the area of ​​fabric on the drying drum.

[0048] S402, the drying stage includes a constant speed drying stage and a reduced speed drying stage;

[0049] S403, the processor calculates the time taken by the drying device in the constant speed drying stage, as shown in formula (2);

[0050] Formula (2)

[0051] in, The time taken by the representative; Represents the drying rate during the constant speed stage.

[0052] S404, the processor calculates the time taken by the drying device in the drying speed reduction stage, as shown in formula (3);

[0053] Formula (3)

[0054] in, The time taken by the representative; It is the moisture content of printed and dyed fabric after drying.

[0055] S405, the processor calculates the time required for the constant speed drying stage and the reduced speed drying stage, as shown in formula (4);

[0056] Formula (4)

[0057] in, Represents the total time; Represents the equilibrium moisture content.

[0058] The S5 processor calculates the evaporation rate of the textile based on the textile parameters and drying conditions;

[0059] S501, the processor establishes a one-dimensional heat and mass transfer model of the porous fabric in the entire drying process based on the analysis of the fabric drying heat transfer process, calculates the evaporation rate in different drying stages, and adjusts the real-time drying temperature according to the evaporation rate of the textile;

[0060] S502, the processor calculates the evaporation rate of the textile during the constant-speed drying stage, as shown in formulas (5) to (8);

[0061] Formula (5)

[0062] Formula (6)

[0063] Formula (7)

[0064] Formula (8)

[0065] in, is the surface evaporation rate; is the surface mass transfer coefficient; is the water vapor density; is the water vapor density in the air; is the heat transfer coefficient of the convective heat transfer surface; is the dry bulb temperature of the hot air stream; Heat before vaporization.

[0066] S503, the processor calculates the evaporation rate of the textile in the speed reduction drying stage, as shown in formulas (9)-(11);

[0067] Formula (9)

[0068] Formula (10)

[0069] Formula (11)

[0070] in, is the volume evaporation rate; is the diffusion coefficient of water vapor in the dry region; is the porosity.

[0071] The processor establishes a differential equation, and uses a MATLAB platform to solve the established differential equation, and obtains a relationship between the temperature and the evaporation rate according to the evaporation rate;

[0072] The processor calculates and controls the real-time drying temperature according to the relationship between the evaporation rate and the temperature.

[0073] The S6 processor calculates the dryer’s air output based on textile parameters and drying conditions;

[0074] S601, the processor controls the real-time air volume according to the internal ambient temperature of the drying device, as shown in formula (12);

[0075] Formula (12)

[0076] in, is the air volume; It is the quality of the textiles; is the latent heat of evaporation of water; and They are the temperatures before and after a fixed period of time; is the specific heat capacity of air; is the density of air; is the air temperature inside the dryer; is the ambient temperature.

[0077] S7 comprehensively analyzes and optimizes the calculated drying parameters;

[0078] S701, the processor establishes a mathematical model and implements a numerical simulation process of the model through a Visual studio algorithm;

[0079] S702, the process calculates the time variable by using the Visual Studio algorithm, as shown in formulas (13) to (16);

[0080] Formula (13)

[0081] Formula (14)

[0082] Formula (15)

[0083] Formula (16)

[0084] in, is the rate of change of air energy at the drum inlet; is the rate of change of air energy at the drum outlet; It is the heat loss of rolling simple position time; is the latent heat of evaporation per unit time; is the specific heat of different substances under standard atmospheric pressure; To adjust the moisture quality of fabrics; is the roller quality; is the fabric temperature; for air quality; is the drum inlet air temperature; is the air temperature at the drum inlet and outlet; is the moisture content of the load; is the fabric surface temperature; is the heat dissipation coefficient of the drum; is the time step.

[0085] S703, the processor calculates the inlet air specific enthalpy value according to the drum air energy difference, as shown in formula (17);

[0086] Formula (17)

[0087] in, is the specific enthalpy of inlet air; is the air mass flow rate; is the specific heat at standard atmospheric pressure; is the drum inlet air temperature; It is the humidity content of the air at the drum inlet.

[0088] The S8 processor records the drying data and stores it in the cloud;

[0089] S801, the processor records the textile drying conditions and textile parameter drying process and stores them in the cloud;

[0090] S802, the PC side establishes a model for training in combination with the drying process of this drying equipment, which is used as a reference when encountering the same textile parameters or the same drying conditions during drying.

[0091] It should be noted that after the drying equipment is completed, the staff will evaluate the drying parameters, and the model training will be optimized based on the parameter evaluation.

[0092] In addition, it should be noted that the present invention can be provided as a method, an apparatus or a computer program product. Therefore, the embodiments of the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the embodiments of the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code.

[0093] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of the methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, an embedded processor, or other programmable data processing terminal device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0094] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing terminal device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device, so that a series of operation steps are executed on the computer or other programmable terminal device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable terminal device provide for implementing the process in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0095] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0096] Finally, it should be noted that the above is a preferred embodiment of the present invention. It should be pointed out that although the preferred embodiment of the present invention has been described, for those skilled in the art, once the basic creative concept of the present invention is known, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be regarded as the protection scope of the present invention. Therefore, the attached claims are intended to be interpreted as including the preferred embodiment and all changes and modifications that fall within the scope of the embodiments of the present invention.

Claims

1. A method for controlling the drying of textiles, characterized in that: include: S1 uses a drum dryer to dry textile fabrics; The S2 processor collects various parameters of textiles; S3 determines the conditions required for textile drying; The S4 processor calculates the drying time based on textile parameters and drying conditions; The S5 processor calculates the evaporation rate of the textile based on the textile parameters and drying conditions; The S6 processor calculates the dryer’s air output based on textile parameters and drying conditions; S7 comprehensively analyzes and optimizes drying parameters according to the drying requirements of textiles; The S8 processor records the drying data and stores it in the cloud; The S4 processor calculates the drying time according to the textile parameters and the drying conditions, wherein: S401, the processor calculates the rate at which the drying device is in the drying stage, as shown in formula (1); Formula (1); in, Represents the drying rate; Represents the quality of bone-dry textiles; Represents the area of ​​fabric on the drying drum; S402, the drying stage includes a constant speed drying stage and a reduced speed drying stage; S403, the processor calculates the time taken by the drying device in the constant speed drying stage, as shown in formula (2); Formula (2); in, The time taken by the representative; Represents the drying rate during the constant speed stage; S404, the processor calculates the time taken by the drying device in the drying speed reduction stage, as shown in formula (3); Formula (3); in, The time taken by the representative; It is the moisture content of the printed and dyed fabric after drying; S405, the processor calculates the time required for the constant speed drying stage and the reduced speed drying stage, as shown in formula (4); Formula (4); in, Represents the total time; represents the equilibrium moisture content; The S5 processor calculates the evaporation rate of the textile according to the textile parameters and the drying conditions, wherein: S501, the processor establishes a one-dimensional heat and mass transfer model of the porous fabric in the entire drying process based on the analysis of the fabric drying heat transfer process, calculates the evaporation rate in different drying stages, and adjusts the real-time drying temperature according to the evaporation rate of the textile; S502, the processor calculates the evaporation rate of the textile during the constant-speed drying stage, as shown in formulas (5) to (8); Formula (5); Formula (6); Formula (7); Formula (8); in, is the surface evaporation rate; is the surface mass transfer coefficient; is the water vapor density; is the water vapor density in the air; is the heat transfer coefficient of the convective heat transfer surface; is the dry bulb temperature of the hot air stream; is the heat before vaporization; S503, the processor calculates the evaporation rate of the textile in the speed reduction drying stage, as shown in formulas (9)-(11); Formula (9); Formula (10); Formula (11); in, is the volume evaporation rate; is the diffusion coefficient of water vapor in the dry region; is the porosity; The processor establishes a differential equation, and uses a MATLAB platform to solve the established differential equation, and obtains a relationship between the temperature and the evaporation rate according to the evaporation rate; The processor calculates and controls the real-time drying temperature according to the relationship between the evaporation rate and the temperature; The S6 processor calculates the air volume of the dryer according to the textile parameters and the drying conditions, wherein: S601, the processor controls the real-time air volume according to the internal ambient temperature of the drying device, as shown in formula (12); Formula (12); in, is the air volume; It is the quality of the textiles; is the latent heat of evaporation of water; and They are the temperatures before and after a fixed period of time; is the specific heat capacity of air; is the density of air; is the air temperature inside the dryer; is the ambient temperature; The S7 comprehensively analyzes and optimizes the calculated drying parameters, wherein: S701, the processor establishes a mathematical model and implements a numerical simulation process of the model through a Visual studio algorithm; S702, the process calculates the time variable by using the Visual Studio algorithm, as shown in formulas (13) to (16); Formula (13); Formula (14); Formula (15); Formula (16); in, is the rate of change of air energy at the drum inlet; is the rate of change of air energy at the drum outlet; It is the heat loss of rolling simple position time; is the latent heat of evaporation per unit time; is the specific heat of different substances under standard atmospheric pressure; To adjust the moisture quality of fabrics; is the roller quality; is the fabric temperature; for air quality; is the drum inlet air temperature; is the air temperature at the drum inlet and outlet; is the moisture content of the load; is the fabric surface temperature; is the heat dissipation coefficient of the drum; is the time step; S703, the processor calculates the inlet air specific enthalpy value according to the drum air energy difference, as shown in formula (17): Formula (17); in, is the specific enthalpy of inlet air; is the air mass flow rate; is the specific heat at standard atmospheric pressure; is the drum inlet air temperature; It is the humidity content of the air at the drum inlet.

2. The drying control method for textiles according to claim 1, characterized in that: The step S1 uses a drum dryer to dry the textile fabric, wherein: S101, the drum dryer adopts the TD6-6LAB model, and the drum dryer is controlled by a PC; S102, the PC side serves as a receiving terminal, and the PC side uses the processor as a transmission middle end to calculate various parameters of the drying process.

3. The drying control method for textiles according to claim 1, characterized in that: The S2 processor collects various parameters of the textile, including: S201, the parameters collected by the processor include fabric, humidity, and thickness of the textile; S202, the fabric of the textile is determined by taking a picture with a high-precision digital microscope system and comparing it with a database; S203, the humidity of the textile is detected by a test circuit designed with a CAV424 chip; S204, measuring the thickness of the textile by a fabric thickness meter.

4. The drying control method for textiles according to claim 1, characterized in that: The step S3 determines the conditions required for drying the textiles, wherein: S301, the drying conditions of the textile are inputted by a staff into a PC and received and processed by a processor; S302, the drying conditions include uniformity of drying of the textile, shrinkage rate of the textile, and electrostatic properties of the textile.

5. The drying control method for textiles according to claim 1, characterized in that: The S8 processor records the drying data and stores it in the cloud, where: S801, the processor records the textile drying conditions and textile parameter drying process and stores them in the cloud; S802, the PC side establishes a model for training in combination with the drying process of this drying equipment, which is used as a reference when encountering the same textile parameters or the same drying conditions during drying.

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