Automatic proportioning and electric control feeding system and method for textile softener

Abstract

The application discloses a textile softener automatic proportioning and electric control feeding system and method. The system comprises: a data acquisition module, which is used for acquiring real-time state data of the fabric in multiple preset stages; a proportioning determination module, which is used for calculating a softener proportioning amount according to the real-time state data of the current stage, when it is not the first stage, acquiring the softener proportioning amount of the previous stage and the softener reaction consumption amount of the previous stage determined by a softener consumption model, and then combining the current state data to determine a target proportioning amount; and a feeding control module, which is used for controlling a feeding execution device to add the softener to the fabric according to the target proportioning amount. The application divides the softening process into multiple preset stages, and considers the influence of the proportioning amount and the chemical reaction amount of the previous softening on the subsequent proportioning when proportioning in each next stage, so that the defects of the traditional one-time feeding and the large process cumulative deviation are overcome, and the precision control of the softener application is realized.

Description

Technical Field

[0001] This invention relates to the field of automation control technology, specifically to an automatic proportioning and electronically controlled feeding system and method for textile softeners. Background Technology

[0002] In textile finishing processes, the application of softeners is a crucial step in improving the hand feel, antistatic properties, and wearing comfort of fabrics. Traditional methods of adding softeners often involve manual weighing or a single, fixed-ratio application, which has significant technical drawbacks.

[0003] First, fabric softening is usually not a single-stage, instantaneous process, but involves multiple stages such as pretreatment, penetration, and fixation. The fabric's moisture content, temperature, pH value, and other conditions vary at each stage, and the adsorption and reaction requirements of the softener also change dynamically. A one-time or fixed-ratio application method cannot match these dynamic stage requirements, which can easily lead to excessive application of softener in one stage and insufficient application in another, affecting the final softening effect and wasting raw materials.

[0004] Secondly, softeners undergo adsorption and cross-linking chemical reactions during their interaction with fabrics, resulting in actual consumption. Not all softeners applied in the current stage are retained for the next stage; some are consumed within the stage. Existing technologies generally neglect the actual consumption of softeners in the previous stage and the amount of effective softener remaining in the fabric when formulating for subsequent stages. This leads to distorted formula calculations, causing the accumulation of softener on the fiber surface to gradually deviate from the ideal value, making precise process control difficult.

[0005] Furthermore, different fabric types exhibit significant differences in their fiber composition, surface properties, and chemical activity, resulting in varying consumption rates and ratios of softeners. Existing systems lack a mechanism for adaptively adjusting stage parameters and consumption models based on fabric type, leading to poor versatility and difficulty in meeting the flexible production needs of diverse fabric varieties. Summary of the Invention

[0006] To address the above problems, the present invention provides an automatic proportioning and electronically controlled feeding system and method for textile softeners.

[0007] A first aspect of the present invention provides an automatic proportioning and electronically controlled feeding system for textile softeners, comprising: The data acquisition module is configured to acquire real-time status data of the fabric at multiple preset stages; The proportion determination module is configured to calculate the fabric softener proportion based on the real-time status data of the current stage. If the current stage is the first stage, the initial fabric softener proportion is determined. If it is not the first stage, the fabric softener proportion of the previous stage and the fabric softener reaction consumption of the previous stage determined by the fabric softener consumption model are obtained. Combined with the real-time status data of the current stage, the target fabric softener proportion of the current stage is determined. The material feeding control module is configured to control the material feeding execution device to add softener to the fabric according to the target softener dosage.

[0008] As a preferred embodiment, the plurality of preset stages include at least a pretreatment stage, a penetration stage, and a fixation stage; the data acquisition module is configured to acquire real-time status data including the temperature, pH value, and softener concentration of the softener working solution.

[0009] As a preferred embodiment, the data acquisition module is further configured to acquire fabric type information; the ratio determination module is configured to determine the reaction consumption coefficient in the softener consumption model based on the fabric type information, and calculate the softener reaction consumption amount in the previous stage based on the reaction consumption coefficient.

[0010] As a preferred embodiment, the proportion determination module is configured to: if the current stage is not the first stage, calculate the residual effective softening dose after the end of the previous stage, wherein the residual effective softening dose is equal to the softener proportion in the previous stage minus the softener consumption in the previous stage; determine the total amount of softener required for the current stage based on the real-time status data of the current stage; and subtract the residual effective softening dose from the total amount of softener required to obtain the target softener proportion for the current stage.

[0011] As a preferred embodiment, the proportioning determination module is further configured to adjust the duration of at least one of the plurality of preset stages and / or the softener proportion reference amount based on the fabric type information.

[0012] As a preferred embodiment, the system also includes a data storage module configured to store the fabric softener ratio and fabric softener reaction consumption corresponding to each preset stage; the ratio determination module is configured to obtain the fabric softener ratio and fabric softener reaction consumption of the previous stage from the data storage module.

[0013] As a preferred embodiment, the system also includes a data storage module configured to store the fabric softener ratio and fabric softener reaction consumption corresponding to each preset stage; the ratio determination module is configured to obtain the fabric softener ratio and fabric softener reaction consumption of the previous stage from the data storage module.

[0014] A second aspect of the present invention provides an automatic proportioning and electronically controlled feeding method for textile softeners, comprising the following steps: Acquire real-time status data of the fabric at multiple preset stages, and obtain fabric type information; When the current stage is the first stage, the initial softener ratio is determined based on the real-time status data of the current stage; When the current stage is not the first stage, retrieve the softener ratio from the previous stage and adjust the parameters of the softener consumption model according to the fabric type information to determine the softener reaction consumption in the previous stage. Then, combine the real-time status data of the current stage to determine the target softener ratio for the current stage. Based on the target softener ratio, the feeding device is controlled to add softener to the fabric.

[0015] Compared with the prior art, the present invention has the following advantages: This invention divides the processing into multiple preset stages, and the proportioning module dynamically calculates the proportion based on the real-time status data of the current stage, thereby enabling the phased and on-demand application of softener. This overcomes the shortcomings of traditional one-time feeding methods that cannot adapt to changes in fabric condition, improves softener utilization, and reduces ineffective consumption.

[0016] In the proportioning calculations of non-first stages, the amount of softener from the previous stage and the reaction consumption determined based on the softener consumption model are introduced. This ensures that the proportioning decision in the current stage is based on an accurate understanding of the residual effective softener dosage in the fabric, eliminating the cumulative error of softener and ensuring the accuracy of proportioning in the multi-stage continuous processing.

[0017] The system acquires fabric type information through the data acquisition module, and adjusts the reaction consumption coefficient, stage duration, and softener ratio baseline in the softener consumption model accordingly through the ratio determination module. This enables the system to perform differentiated control based on the chemical properties and process requirements of different fabrics, significantly improving the system's versatility and adaptability. Attached Figure Description

[0018] The present invention will be further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the present invention. For those skilled in the art, other drawings can be obtained based on the following drawings without creative effort.

[0019] Figure 1 This is a structural block diagram of the system provided in the embodiments of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0021] In one specific embodiment of the present invention, an automatic proportioning and electronically controlled feeding method for textile softeners is provided. This method is applied to an automatic proportioning and electronically controlled feeding system for textile softeners. The present invention aims to solve the problems of ambiguous division of softener application process stages, failure to consider the consumption of previous stages in proportioning calculations, and poor adaptability to fabric types in the prior art, thereby achieving accurate dynamic proportioning and automatic feeding control of softeners in multi-stage processing.

[0022] Specifically, the method includes the following steps: S1. Obtain real-time status data of the softener working solution at multiple preset stages, and obtain fabric type information.

[0023] In this embodiment, the softener working solution refers to the liquid that comes into direct contact with the fabric after the softener concentrate and solvent (usually water) are mixed in a certain proportion. The fabric softening process is divided into multiple preset stages, including at least a pretreatment stage, a penetration stage, and a fixation stage. In each stage, the softener working solution comes into contact with the fabric and undergoes adsorption, penetration, cross-linking, and other processes. The temperature, pH value, and softener concentration of the working solution change over time, directly affecting the softener consumption rate and the final softening effect.

[0024] When S1 performs data acquisition, the data acquisition module collects the temperature, pH value, and softener concentration of the softener working solution in real time through temperature sensors, pH sensors, and concentration detection sensors installed in the working solution circulation tank or padding tank. The concentration detection sensor can be an ultraviolet-visible spectrophotometer, conductivity sensor, or near-infrared spectroscopy sensor, and the sampling period is set according to process requirements, for example, once every 5 seconds. Simultaneously, the data acquisition module reads the type information of the currently processed fabric from the host computer or fabric management database. The fabric type information includes parameters such as fiber composition, weave structure, and weight. In this embodiment, the fabric type information includes at least the fiber composition, such as cotton, polyester, cotton-polyester blends, viscose, etc.

[0025] The switching between each stage is automatically determined by the proportioning module based on preset process conditions, or it can be triggered by an external process controller. Specifically, the pretreatment stage ends when the fabric is completely wetted by the working solution and the working solution temperature reaches the preset pretreatment temperature and stabilizes; the penetration stage continues until the rate of change of the softener concentration in the working solution within a preset time window (e.g., 10 minutes) is lower than a set threshold (e.g., 0.5% / min), indicating that the adsorption is approaching equilibrium; the fixation stage ends when the degree of completion of the crosslinking reaction reaches a preset value (e.g., determined by the change in the working solution pH value) or reaches a preset duration.

[0026] S2. The proportion determination module determines whether the current stage is the first stage; if yes, then execute step S3a; if no, then execute step S3b.

[0027] The proportion determination module determines whether the current stage is the preprocessing stage (i.e., the first stage) based on the current position of the processing flow. The determination can be based on a stage counter or a process status flag.

[0028] S3a. When the current stage is the first stage, determine the initial softener ratio based on the real-time status data of the current stage.

[0029] In this embodiment, the initial fabric softener ratio is calculated using the following empirical formula:

[0030] in, For the same fabric type The relevant baseline softener ratio is retrieved from the process database based on fabric type information; This is a temperature correction factor. This is the pH correction factor. This refers to the concentration correction factor. The correction factor is determined using a pre-established correction function or by looking up a table.

[0031] Standard softener ratio Defined under standard reference conditions (temperature) pH ,concentration This refers to the amount of softener required to achieve the target softness per unit mass of fabric. The calibration method is as follows: Take a certain mass of fabric and perform single-stage softening treatment at different softener addition amounts. Measure the softness of the treated fabric (e.g., through bending stiffness method or hand feel evaluation), establish a softness-addition amount relationship curve, and determine the minimum addition amount required to achieve the target softness value as the baseline ratio for that fabric type. The baseline ratios for different fabric types are pre-calibrated and stored in the data storage module.

[0032] Specifically, temperature correction factor Based on the Arrhenius equation, the effect of temperature on the adsorption rate of fabric softener is reflected:

[0033] in, The apparent activation energy during the initial mixing stage. This is the universal gas constant. The absolute temperature of the working fluid. For reference temperature (e.g., 298K).

[0034] pH correction factor The Sigmoid function is used to describe the properties of fabric softeners that exhibit the highest activity near their optimal pH value:

[0035] in, pH sensitivity coefficient The optimal pH values ​​were all determined experimentally.

[0036] Concentration correction factor The power-law relationship is used to reflect the effect of softener concentration in the working fluid on the effective deposition rate:

[0037] in, This is the current working fluid softener concentration. For reference concentration, This is the concentration correction index, which is usually taken between 0.3 and 0.8.

[0038] The parameters of the above correction factors ( , , , (etc.) Offline calibration was performed for different fabric types, and the results were stored in the data storage module. The calibration process involved conducting single-stage softening treatment experiments on specific fabric types under different temperature, pH, and concentration conditions, measuring the actual softening agent dosage deposited on the fabric, and determining the parameter values ​​using regression analysis. The resulting initial softener formulation was able to match the current working solution state and fabric type.

[0039] S3b. When the current stage is not the first stage, retrieve the softener ratio from the previous stage and adjust the parameters of the softener consumption model according to the fabric type information to determine the softener reaction consumption in the previous stage. Then, combine the real-time status data of the current stage to determine the target softener ratio for the current stage.

[0040] This step is the core of the present invention, and it will be explained in detail in this embodiment below.

[0041] First, the proportioning module retrieves the fabric softener proportions from the data storage module from the previous stage. And the real-time status data from the previous stage (temperature) pH value ,concentration ), duration of the phase and fabric type information .

[0042] Next, the parameters of the softener consumption model are adjusted based on the fabric type information. Specifically, parameters related to the fabric type are retrieved from the parameter database. The corresponding set of reaction consumption coefficients. In this embodiment, the softener consumption model adopts the following form:

[0043] in, This represents the amount of softener consumed in the previous stage of the reaction. The consumption coefficient is related to the proportion of ingredients. This represents the time-related consumption coefficient.

[0044] In this embodiment, the complete derivation process of the fabric softener consumption model is given below.

[0045] When fabric softener comes into contact with the working solution, two main types of consumption processes occur: First, physical adsorption, where softener molecules adhere to the fiber surface through van der Waals forces, hydrogen bonds, or electrostatic interactions. This process is related to the softener concentration in the working solution and the number of accessible sites on the fabric surface. Second, chemical cross-linking, where the active groups in the softener molecules covalently bond with the functional groups on the fiber surface, forming irreversible chemical bonds. This process is closely related to the amount of softener already adsorbed, temperature, and pH value. In addition, a small amount of hydrolysis side reactions may occur, but these are negligible under normal process conditions.

[0046] For the physical adsorption process, a pseudo-first-order adsorption kinetic model is adopted:

[0047] in, This represents the amount consumed during adsorption. This refers to the instantaneous concentration of the softener in the working fluid. For maximum adsorption capacity, is the adsorption rate constant.

[0048] For the chemical crosslinking process, a pseudo-second-order reaction kinetic model is adopted, and the crosslinking consumption rate is proportional to the amount of adsorbed soft material:

[0049] in, This refers to the amount consumed for crosslinking. is the rate constant for the crosslinking reaction.

[0050] In engineering applications, the duration of each stage is typically short (several minutes to tens of minutes), and the volume of the working fluid is much larger than the amount of fabric adsorption. Therefore, the concentration of softener in the working fluid is relatively high. Within the stage, it can be approximated as constant, equal to the initial concentration of the stage. or average concentration Meanwhile, when the adsorption amount is far from saturation, ,but Therefore, the adsorption equation simplifies to:

[0051] Integral result:

[0052] Furthermore, the crosslinking consumption can be obtained by integrating the crosslinking rate:

[0053] The total reaction consumption is:

[0054] The rate constant in the above model and All are functions of temperature, pH, and concentration. This embodiment uses the following correction relationship: The effect of temperature conforms to the Arrhenius equation:

[0055] The effect of pH is described using the Sigmoid function:

[0056] The effect of concentration is expressed using a power-law relationship:

[0057] Substituting the above correction relationship into the rate constant and combining it with fabric type information, we can obtain the relationship with fabric type. The relevant overall rate constant:

[0058]

[0059] in, and The exponential factor, which is related to fabric type, is obtained through offline calibration.

[0060] To determine the parameters in the above model, systematic offline experimental calibration is required for different fabric types. The calibration process is as follows: A standard fabric sample was selected and placed in a temperature- and pH-controlled reaction vessel. A known concentration of [missing information] was added. Softener working fluid.

[0061] Set temperature The reaction was carried out at a certain pH value, and samples were taken at different time points to analyze the changes in the softener concentration in the working solution and calculate the cumulative consumption at each time point.

[0062] Repeat the experiment by changing the temperature (e.g., 30℃, 40℃, 50℃, 60℃), pH (e.g., 4, 5, 6, 7, 8) and initial concentration to obtain multiple sets of consumption-time data.

[0063] The above model is fitted using the nonlinear least squares method to obtain the model for this fabric type. , , , , , , , , , Parameters such as these.

[0064] For other fabric types, repeat the above calibration process to obtain their respective parameter sets, which are then stored in the parameter database of the data storage module.

[0065] In actual calculations, the proportioning module retrieves the corresponding parameter set from the database based on the fabric type information, substitutes it into the above formula, and then calculates the amount of softener consumed in the previous stage. .

[0066] To facilitate real-time calculation, this embodiment further clarifies the above model into a linearized form:

[0067] in, and To calculate the overall consumption coefficient, the theoretical model described above is fitted with experimental data, and the result is pre-calculated and stored as a parameter related to... The lookup table or interpolation function can be quickly called by the ratio determination module.

[0068] The proportioning determination module determines the amount of softener used in the previous stage. and the calculated reaction consumption Calculate the residual effective soft dose after the end of the previous stage. :

[0069] like Then take This indicates that the softener from the previous stage has been completely consumed, with no residual effective amount.

[0070] The proportioning determination module determines the proportions based on the real-time status data (temperature) of the current stage. pH value ,concentration and fabric type information Calculate the total amount of softener required at the current stage. .

[0071] The calculation method is similar to step S3a, using the standard proportion multiplied by a correction factor:

[0072] in, For the current stage (pretreatment, infiltration, or fixation stage) and fabric type The corresponding baseline softener ratio is stored in the data storage module; the form of the correction factor is consistent with that in S3a, but the parameters may differ depending on the stage.

[0073] Different preset stages correspond to different baseline ratios and correction coefficients, which are stored in the stage parameter table in the data storage module. For example, the baseline ratio in the pretreatment stage focuses on wetting and initial adsorption, the penetration stage focuses on deep penetration, and the fixation stage focuses on cross-linking fixation. The correction coefficients for each stage are obtained through single-stage experimental calibration, using the same calibration method as described in S3a.

[0074] The total amount of softener required above Subtract the residual effective softening dose To obtain the target softener ratio for the current stage. :

[0075] Therefore, at this stage, only the insufficient parts need to be supplemented, avoiding the excessive application of softener and the accumulation of errors.

[0076] Furthermore, based on fabric type information, the proportioning determination module also adjusts the duration of at least one of the preset stages and / or the baseline amount of softener. Specifically, the data storage module stores adjustment coefficient tables for stage duration and baseline amount for different fabric types. For example, cotton fabrics, due to their strong hydrophilicity and large specific surface area, require a longer penetration stage and a higher baseline amount; their penetration stage duration adjustment coefficient can be 1.3, and their baseline amount adjustment coefficient can be 1.2. Polyester fabrics, on the other hand, have weak hydrophilicity, require a shorter penetration time and a lower baseline amount; their duration adjustment coefficient is 0.8, and their baseline amount adjustment coefficient is 0.7. When determining the duration of each stage and the baseline amount, the proportioning determination module automatically retrieves the corresponding coefficients from the database based on the fabric type information for correction, thereby achieving differentiated process control for different fabrics.

[0077] The calibration method for stage duration adjustment coefficient and baseline ratio adjustment coefficient is as follows: Select multiple fabric types and perform multi-stage softening treatment under the same standard process conditions. Use the target softness and softener utilization rate as evaluation indicators. Determine the optimal stage duration and optimal baseline ratio for each fabric type through orthogonal experiments or response surface methodology. Then compare the corresponding values ​​with those of the reference fabric type to obtain the adjustment coefficient.

[0078] S4. Based on the target softener ratio, control the feeding device to add softener to the fabric.

[0079] The feeding control module receives the target softener ratio output from the proportioning determination module and generates a flow control signal. In this embodiment, the feeding control module includes a flow control unit and a proportioning mixing unit. The flow control unit calculates the required softener concentrate flow rate and solvent flow rate based on the target ratio and achieves precise delivery by driving a metering pump. The proportioning mixing unit mixes the softener concentrate and solvent in a dynamic ratio, and the mixed working solution is uniformly sprayed through a nozzle or applied to the fabric through a padding tank.

[0080] The flow control unit adjusts the amount of softener according to the target ratio. (Unit: g / min or kg / batch) and current working fluid circulation flow rate (Unit: L / min) Calculate the flow rate of the fabric softener concentrate. and solvent flow rate Let the mass concentration of the fabric softener concentrate be... If (g / L), then the required flow rate of the original solution is:

[0081] Solvent flow rate is:

[0082] like If the value is negative, reduce the working fluid circulation flow rate or increase the stock solution concentration. The proportioning mixing unit operates according to... The mixture is dynamically proportioned. The feeding control module detects the actual flow rate in real time through a flow meter and uses PID control to ensure that the deviation between the actual amount added and the target proportion is less than the preset allowable error (e.g., ±1%). If the deviation exceeds the range, the metering pump speed or valve opening is corrected through the PID regulator.

[0083] In this embodiment, the data storage module records the softener ratio, softener reaction consumption, and real-time status data for each preset stage in real time, for use in subsequent stages and batches. After each stage, the ratio determination module writes the target softener ratio, actual addition amount, calculated reaction consumption, and residual effective softener dosage at the end of the stage into the data storage module as the basis for calculation in the next stage.

[0084] Through the above steps, this method achieves dynamic and precise proportioning of softener in multi-stage treatment. In each stage, the influence of the proportioning amount and chemical reaction consumption of the previous stage on the subsequent proportioning is considered, overcoming the cumulative error caused by traditional one-time feeding and fixed proportioning, and can adaptively adjust for different fabric types.

[0085] In another specific embodiment of the present invention, an automatic proportioning and electronically controlled feeding system for textile softeners is provided, such as... Figure 1 As shown, this system is used to implement the above method embodiment. The system includes: The data acquisition module is configured to acquire real-time status data of the softener working solution at multiple preset stages, as well as fabric type information. Specifically, the data acquisition module includes a temperature sensor, a pH sensor, a concentration detection sensor, and a fabric type information input interface. The temperature sensor uses a PT100 resistance temperature detector (RTD), the pH sensor uses an industrial online pH electrode, and the concentration detection sensor uses an ultraviolet spectrophotometer or a near-infrared spectroscopy sensor. All of these sensors are installed in the working solution circulation pipeline to collect the working solution status in real time. The fabric type information input interface can read the fiber composition information of the current fabric from a host computer or an RFID tag.

[0086] The proportion determination module communicates with the data acquisition module and has a built-in softener consumption model and parameter database. It is configured to calculate the softener proportion based on real-time status data and fabric type information at the current stage. The proportion determination module includes a processor, memory, and input / output interfaces. The memory stores softener consumption model parameters, baseline proportions, and stage duration adjustment coefficients for different fabric types. The processor executes the above calculation logic to determine the initial proportion, calculate reaction consumption, calculate residual effective amount, and calculate the target proportion.

[0087] The dosing control module, connected to the proportioning determination module, is configured to control the dosing device to add softener to the fabric according to the target softener proportion. The dosing control module includes a flow control unit and a proportioning mixing unit. The flow control unit receives the target proportion signal and outputs a PWM control signal to drive the metering pump. The proportioning mixing unit includes a static mixer and a flow regulating valve, which mixes the softener concentrate and solvent in a specific ratio and then applies the mixture to the fabric through a nozzle.

[0088] The data storage module, connected to the proportioning determination module, is configured to store the softener proportions, softener reaction consumption, and real-time status data for each preset stage. The data storage module uses non-volatile memory, such as EEPROM or an industrial-grade SD card, and has data retrieval and writing functions, allowing the proportioning determination module to retrieve data from the previous stage when calculating the proportions for the next stage.

[0089] In this embodiment, the data acquisition module is configured to acquire real-time status data including the temperature, pH value, and softener concentration of the softener working solution. The multiple preset stages include at least a pretreatment stage, a penetration stage, and a fixation stage, and each stage is automatically switched by an external process controller or a proportioning determination module according to a preset time or after specific process conditions are met.

[0090] The proportioning determination module is further configured to determine the reaction consumption coefficient in the softener consumption model based on fabric type information. Specifically, it obtains parameters such as the pre-exponential factor and activation energy corresponding to the fabric type by querying a parameter database, and substitutes them into the consumption model to calculate the softener reaction consumption in the previous stage. Simultaneously, the proportioning determination module adjusts the duration of at least one of multiple preset stages and / or the softener proportion baseline amount based on the fabric type information; the adjustment coefficients are also stored in the parameter database.

[0091] The feeding control module generates a flow control signal based on the target softener ratio, driving the metering pump to mix the softener concentrate and solvent in proportion. The feeding control module communicates with the proportioning determination module via RS485 or EtherCAT bus, receives the target proportion data, and converts it into an analog signal or a digital pulse signal to achieve precise metering.

[0092] Through the coordinated operation of the above modules, this system can automatically and intelligently complete the multi-stage dynamic proportioning and electronically controlled feeding of softener. It is suitable for various textile finishing production lines and has the advantages of accurate proportioning, strong adaptability, and simple operation.

[0093] The foregoing description and accompanying drawings fully illustrate embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent variations only. Individual components and functions are optional unless explicitly required, and the order of operations may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terminology used in this application is for descriptive purposes only and is not intended to limit the claims. As used in the description of the embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used in this application refers to any and all combinations of one or more of the associated listed elements. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, then the relevant parts can be referred to the description of the method section.

[0094] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented using electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods for each specific application to achieve the described functions, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the described devices, apparatuses, and units can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0095] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, function, and operation of implementations of apparatus, methods, and computer program products according to embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions indicated in the blocks may occur in a different order than indicated in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description; sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based device that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

Claims

1. An automatic proportioning and electronically controlled feeding system for textile softeners, characterized in that, include: The data acquisition module is configured to acquire real-time status data of the fabric at multiple preset stages; The proportion determination module is configured to calculate the fabric softener proportion based on the real-time status data of the current stage. If the current stage is the first stage, the initial fabric softener proportion is determined. If it is not the first stage, the fabric softener proportion of the previous stage and the fabric softener reaction consumption of the previous stage determined by the fabric softener consumption model are obtained. Combined with the real-time status data of the current stage, the target fabric softener proportion of the current stage is determined. The material feeding control module is configured to control the material feeding execution device to add softener to the fabric according to the target softener dosage.

2. The automatic proportioning and electronically controlled feeding system for textile softener according to claim 1, characterized in that, The multiple preset stages include at least a pretreatment stage, a penetration stage, and an adhesion stage; the data acquisition module is configured to acquire real-time status data including the temperature, pH value, and softener concentration of the softener working solution.

3. The automatic proportioning and electronically controlled feeding system for textile softener according to claim 2, characterized in that, The data acquisition module is also configured to acquire fabric type information; the ratio determination module is configured to determine the reaction consumption coefficient in the softener consumption model based on the fabric type information, and calculate the softener reaction consumption amount in the previous stage based on the reaction consumption coefficient.

4. The automatic proportioning and electronically controlled feeding system for textile softener according to claim 3, characterized in that, The ratio determination module is configured to: if the current stage is not the first stage, calculate the residual effective softening dose after the end of the previous stage, wherein the residual effective softening dose is equal to the softener ratio of the previous stage minus the softener reaction consumption of the previous stage; determine the total amount of softener required for the current stage based on the real-time status data of the current stage; and subtract the residual effective softening dose from the total amount of softener required to obtain the target softener ratio for the current stage.

5. The automatic proportioning and electronically controlled feeding system for textile softener according to claim 3, characterized in that, The proportion determination module is further configured to adjust the duration of at least one of the plurality of preset stages and / or the softener proportion benchmark amount based on the fabric type information.

6. The automatic proportioning and electronically controlled feeding system for textile softener according to claim 1, characterized in that, It also includes a data storage module, configured to store the fabric softener ratio and fabric softener reaction consumption corresponding to each preset stage; the ratio determination module is configured to obtain the fabric softener ratio and fabric softener reaction consumption of the previous stage from the data storage module.

7. The automatic proportioning and electronically controlled feeding system for textile softener according to claim 1, characterized in that, The feeding control module is configured to generate a flow control signal based on the target softener ratio, so as to control the feeding execution device to mix the softener concentrate and solvent in proportion and then apply it to the fabric.

8. An automatic proportioning and electronically controlled feeding method for textile softeners, applied to the system as described in any one of claims 1 to 7, characterized in that, Includes the following steps: Acquire real-time status data of the softener working fluid at multiple preset stages, and obtain fabric type information; When the current stage is the first stage, the initial softener ratio is determined based on the real-time status data of the current stage; When the current stage is not the first stage, retrieve the softener ratio from the previous stage and adjust the parameters of the softener consumption model according to the fabric type information to determine the softener reaction consumption in the previous stage. Then, combine the real-time status data of the current stage to determine the target softener ratio for the current stage. Based on the target softener ratio, the feeding device is controlled to add softener to the fabric.

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