A spunlace fabric production line intelligent control method and system and related device

Abstract

The application provides a spunlace fabric production line intelligent control method, system and related device, and belongs to the technical field of control. First, the water content value of the web at the outlet can be obtained. When the water content value exceeds the preset range, a plurality of spunlace head pressure values in a detection period are obtained and the pressure fluctuation amplitude is determined. If the pressure fluctuation amplitude is greater than the preset threshold, a first adjustment instruction for increasing the drying temperature value and reducing the spunlace pressure value is generated. If the pressure fluctuation amplitude is less than the preset threshold, a second adjustment instruction for increasing the drying temperature value and reducing the web running speed value is generated. The application takes the spunlace head pressure fluctuation amplitude as the basis for distinguishing the working conditions, adopts differentiated coordinated adjustment strategies under different working conditions, realizes accurate control of the water content deviation, effectively suppresses the deterioration of the fabric uniformity, and improves the intelligent control level of the spunlace fabric production line and the product quality stability.

Description

Technical Field

[0001] This application relates to the field of control technology, and in particular to an intelligent control method, system and related device for a spunlace fabric production line. Background Technology

[0002] Spunlace nonwoven fabric is formed by spraying high-pressure micro-jet water onto one or more layers of fiber web, causing the fibers to entangle and bind together, thus strengthening the web. It features excellent water and air permeability, a soft hand feel, and high moisture absorption, and is widely used in medical and health, household cleaning, and personal care fields. A typical spunlace fabric production line includes processes such as opening and cleaning, carding into a web, web laying, drafting, spunlace, dewatering, drying, and winding. These processes are interconnected, and their parameters influence each other. The moisture content of the web exiting the production line is one of the key indicators for evaluating the quality of spunlace fabric. Excessive moisture content will affect the product's storage stability and subsequent processing performance, while insufficient moisture content may result in a stiff fabric feel and wasted energy. Therefore, precise control of the moisture content exiting the production line is one of the core tasks of production line control.

[0003] Currently, a significant portion of production lines rely on operators' experience and manual intervention. When the moisture content of the finished product exceeds the allowable range, operators need to manually adjust parameters such as hydroentangling pressure, web travel speed, or drying temperature on the control panel of the corresponding equipment based on their personal experience. This manual adjustment method is not only inefficient and slow to respond, but the adjustment effect is also greatly affected by the operator's subjective experience, easily causing fluctuations in product quality and failing to meet the consistency and stability requirements of modern production. While some production lines have introduced automatic feedback control technology, such as proportional-integral-derivative control based on moisture content deviation, these control methods typically treat hydroentangling pressure, web travel speed, and drying temperature as independent variables and adjust them separately, failing to fully consider the complex coupling relationships between these parameters.

[0004] In actual production, the hydroentanglement pressure, the web travel speed, and the drying temperature interact and restrict each other. For example, while increasing the hydroentanglement pressure can enhance fiber entanglement and dehydration, it also increases the content of bound water inside the web, potentially increasing the burden on subsequent drying. Reducing the web travel speed can prolong drying time, but it will affect production capacity and may lead to over-drying of the fabric. Simply increasing the drying temperature can accelerate moisture evaporation, but it may cause the surface of the fabric to harden while the internal moisture content remains high. When abnormal conditions such as fluctuations in hydroentanglement head pressure occur during production, simple deviation feedback control is often insufficient to effectively address them, and improper adjustments may even exacerbate the unevenness of fabric quality. Summary of the Invention

[0005] This application provides an intelligent control method, system, and related apparatus for a spunlace nonwoven fabric production line to improve the above-mentioned problems.

[0006] To achieve the above objectives, this application adopts the following technical solution:

[0007] Firstly, this application proposes an intelligent control method for a spunlace fabric production line. The method is applicable to an intelligent control system for a spunlace fabric production line. The system includes a control terminal, and the method is executed by the control terminal, including:

[0008] Obtain the moisture content of the fiber web at the outlet corresponding to the target time;

[0009] If the moisture content of the fiber web is greater than the maximum preset moisture content or less than the minimum preset moisture content, obtain multiple water jet pressure values ​​within a detection cycle with the target time as the end point and the starting time before the target time as the starting point.

[0010] The pressure fluctuation range within the detection period is determined based on multiple water jet pressure values.

[0011] The pressure fluctuation amplitude is compared with the preset pressure fluctuation amplitude threshold. If the pressure fluctuation amplitude is greater than the preset pressure fluctuation amplitude threshold, the target hydroentanglement pressure value and target drying temperature value corresponding to the target time are obtained.

[0012] A first adjustment command is determined based on the target hydroentanglement pressure value and the target drying temperature value, wherein the first adjustment command is used to increase the target drying temperature value and decrease the target hydroentanglement pressure value;

[0013] If the pressure fluctuation amplitude is less than the pressure fluctuation threshold, then obtain the fiber web traveling speed value corresponding to the target time.

[0014] A second adjustment command is generated based on the web travel speed value and the drying temperature value. The second adjustment command is used to increase the drying temperature value and decrease the web travel speed value.

[0015] In conjunction with the first aspect, optionally, a first adjustment command is determined based on the target hydroentangling pressure value and the target drying temperature value, wherein the first adjustment command is used to increase the target drying temperature value and decrease the target hydroentangling pressure value, including:

[0016] Obtain the difference between the pressure fluctuation amplitude and the preset pressure fluctuation amplitude threshold;

[0017] Based on the difference, the pressure reduction adjustment amount and the temperature increase adjustment amount are determined. The value of the pressure reduction adjustment amount is positively correlated with the magnitude of the difference, and the value of the temperature increase adjustment amount is also positively correlated with the magnitude of the difference.

[0018] In conjunction with the first aspect, optionally, a first adjustment command is determined based on the target hydroentanglement pressure value and the target drying temperature value, wherein the first adjustment command, after increasing the target drying temperature value and decreasing the target hydroentanglement pressure value, further includes:

[0019] Determine whether the increased drying temperature exceeds the preset safe upper limit for drying temperature;

[0020] If the drying temperature exceeds the safe upper limit, the temperature increase adjustment amount in the first adjustment command will be corrected so that the adjusted drying temperature value is equal to the safe upper limit of the drying temperature, and the pressure decrease adjustment amount in the first adjustment command will be increased.

[0021] In conjunction with the first aspect, optionally, a second adjustment command is generated based on the web travel speed value and the drying temperature value. The second adjustment command is used to increase the drying temperature value and decrease the web travel speed value, including:

[0022] Obtain the moisture content deviation between the target moisture content value of the fiber web and the preset target moisture content value at the target time;

[0023] Based on the moisture content deviation, the adjustment amounts for decreasing speed and increasing temperature are determined. The value of the adjustment amount for decreasing speed is positively correlated with the absolute value of the moisture content deviation, and the value of the adjustment amount for increasing temperature is also positively correlated with the absolute value of the moisture content deviation.

[0024] In conjunction with the first aspect, optionally, after generating a second adjustment command based on the web travel speed value and the drying temperature value, the second adjustment command, after increasing the drying temperature value and decreasing the web travel speed value, further includes:

[0025] Determine whether the reduced fiber web travel speed is lower than the preset minimum production speed limit;

[0026] If the speed is lower than the minimum production speed limit, the speed reduction adjustment will be corrected so that the adjusted fiber web travel speed is equal to the minimum production speed limit, and the temperature increase adjustment will be increased.

[0027] In conjunction with the first aspect, the method may optionally also include:

[0028] After executing the first or second adjustment command, multiple fiber web moisture content values ​​are continuously acquired;

[0029] When the moisture content of the fiber web returns to between the maximum preset moisture content and the minimum preset moisture content, determine the direction of deviation of the moisture content of the fiber web when the adjustment is triggered.

[0030] If the moisture content of the fiber web is greater than the maximum preset moisture content when the adjustment is triggered, the target hydroentanglement pressure value will be restored first.

[0031] If the moisture content of the fiber web is less than the minimum preset moisture content when the adjustment is triggered, the target drying temperature value will be restored first.

[0032] In conjunction with the first aspect, the method may optionally also include:

[0033] Obtain the set value of the unit area mass of the produced fiber web;

[0034] Based on the set value of mass per unit area, the value of the preset pressure fluctuation amplitude threshold is adjusted, wherein the value of the preset pressure fluctuation amplitude threshold is negatively correlated with the magnitude of the set value of mass per unit area.

[0035] A second aspect of this invention provides an intelligent control system for a spunlace fabric production line, comprising:

[0036] Moisture content acquisition module, which is used to acquire the moisture content value of the fiber web at the outlet at the target time;

[0037] The pressure acquisition module is used to acquire multiple water jet pressure values ​​within a detection cycle, with the target time as the end point and the start time before the target time as the start point, when the moisture content of the fiber web is greater than the maximum preset moisture content or less than the minimum preset moisture content.

[0038] The determination module is used to determine the pressure fluctuation amplitude within the detection cycle based on multiple hydrospinning head pressure values.

[0039] The first comparison module is used to compare the pressure fluctuation amplitude with the preset pressure fluctuation amplitude threshold. If the pressure fluctuation amplitude is greater than the preset pressure fluctuation amplitude threshold, the target hydroentanglement pressure value and target drying temperature value corresponding to the target time are obtained.

[0040] The first instruction generation module is used to determine a first adjustment instruction based on the target hydroentanglement pressure value and the target drying temperature value, wherein the first adjustment instruction is used to increase the target drying temperature value and decrease the target hydroentanglement pressure value.

[0041] The speed acquisition module is used to acquire the fiber web traveling speed value at the target time if the pressure fluctuation amplitude is less than the pressure fluctuation threshold.

[0042] The second instruction generation module is used to generate a second adjustment instruction based on the fiber web traveling speed value and the drying temperature value. The second adjustment instruction is used to increase the drying temperature value and decrease the fiber web traveling speed value.

[0043] A third aspect of the present invention provides an electronic device comprising:

[0044] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method proposed in the first aspect of the present invention.

[0045] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method as described in the first aspect of the embodiments of the present invention.

[0046] In summary, the above method and apparatus have the following technical effects:

[0047] This invention, upon detecting that the moisture content of the fiber web exceeds a preset range, further acquires the pressure fluctuation amplitude of the hydroentangling head and selects different coordinated adjustment strategies based on the comparison between the pressure fluctuation amplitude and a preset threshold. When the pressure fluctuation amplitude is large, it indicates an abnormal operating condition of unstable water flow in the hydroentangling system. In this case, the first adjustment strategy is adopted, relying on heat to slowly evaporate moisture while avoiding further damage to the fabric quality due to pressure fluctuations, thereby suppressing the deterioration of fabric uniformity during the adjustment process. When the pressure fluctuation amplitude is small, it indicates that the hydroentangling system is in a normal and stable state. In this case, the second adjustment strategy is adopted, utilizing extended drying time and reduced material flow rate to achieve the smooth escape of deep moisture, effectively improving control accuracy and product quality stability. Simultaneously, by establishing a positive correlation between the pressure reduction adjustment amount and the temperature increase adjustment amount and the difference between the pressure fluctuation amplitude and the preset threshold, dynamic matching between the adjustment intensity and the degree of abnormal operating condition is achieved. When the pressure fluctuation becomes more severe, the system automatically increases the magnitude of pressure reduction and temperature increase, effectively protecting the fabric structure and promptly compensating for the dehydration capacity lost due to pressure reduction. Attached Figure Description

[0048] Figure 1 This is a flowchart illustrating an intelligent control method for a spunlace fabric production line proposed in this application.

[0049] Figure 2 This is a schematic diagram of the structure of an intelligent control system for a spunlace fabric production line proposed in this application. Detailed Implementation

[0050] 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, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0051] This embodiment provides an intelligent control method for a spunlace nonwoven fabric production line. The method is applicable to an intelligent control system for a spunlace nonwoven fabric production line. The system includes a control terminal (such as a PLC controller, industrial computer, etc.), and the method is executed by the control terminal.

[0052] Specifically, the method includes the following steps:

[0053] S101: Obtain the moisture content of the fiber web at the outlet corresponding to the target time.

[0054] A typical process flow for a spunlace fabric production line involves opening, mixing, carding, and laying the fiber raw material to form a web. After pre-wetting, the web enters the spunlace zone, where it is continuously sprayed with high-pressure water jets, causing the fibers to entangle and bind together. A dewatering device removes most of the free water, followed by hot air drying. Finally, it is wound into fabric by a winding device. The moisture content of the web at the exit point is a key indicator of product quality. Excessive moisture content affects storage stability and subsequent processing performance, while insufficient moisture content can lead to a stiff fabric feel and wasted energy.

[0055] Understandably, a moisture detection unit, such as an infrared moisture meter or a microwave moisture meter, can be installed at the web exit point of the drying process. This unit can collect the moisture content data of the exiting fiber web in real time or according to a preset sampling cycle and transmit it to the control terminal. The control terminal can then obtain the current moisture content value of the fiber web at a specific target moment.

[0056] S102: If the moisture content of the fiber web is greater than the maximum preset moisture content or less than the minimum preset moisture content, obtain multiple water jet pressure values ​​within a detection cycle, with the target time as the end point and the starting time before the target time as the starting point.

[0057] Understandably, the maximum and minimum preset moisture contents are set in advance based on production process requirements and product quality standards. For example, according to product specifications, the moisture content at the end of the net is usually controlled between 5% and 8%, so the maximum preset moisture content can be set to 8% and the minimum preset moisture content to 5%.

[0058] In this application, the detection cycle duration can be set according to actual production needs, preferably 5 to 30 seconds. The pressure value of the water jet head can be collected in real time and transmitted to the control terminal by a pressure transmitter installed on the water jet head inlet pipe.

[0059] S103: Determine the pressure fluctuation range within the detection cycle based on multiple water jet pressure values.

[0060] In this application, the pressure fluctuation amplitude can be determined in several ways. A preferred method is to calculate the difference between the maximum and minimum pressure values ​​of the water-spinning head within the detection cycle, and use this difference as the pressure fluctuation amplitude. Alternatively, the standard deviation of the water-spinning head pressure values ​​within the detection cycle can be calculated, and the standard deviation can be used as the pressure fluctuation amplitude. The specific calculation method will not be elaborated in this application.

[0061] S104: Compare the pressure fluctuation amplitude with the preset pressure fluctuation amplitude threshold. If the pressure fluctuation amplitude is greater than the preset pressure fluctuation amplitude threshold, obtain the target hydroentanglement pressure value and target drying temperature value corresponding to the target time.

[0062] Understandably, the preset pressure fluctuation threshold is an empirical value that can be calibrated based on the normal operating fluctuation range of the spunlace equipment. For example, under normal and stable operating conditions, the pressure fluctuation of the spunlace head generally does not exceed 0.5 MPa, so the preset pressure fluctuation threshold can be set to 0.5 MPa. The target spunlace pressure value can be obtained through a pressure transmitter installed on the spunlace head. The target drying temperature value can be obtained through a temperature sensor installed inside the drying device.

[0063] S105: Determine a first adjustment command based on the target hydroentanglement pressure value and the target drying temperature value, wherein the first adjustment command is used to increase the target drying temperature value and decrease the target hydroentanglement pressure value.

[0064] Understandably, when a large pressure fluctuation is detected, it indicates abnormal operating conditions in the hydroentangling system, such as unstable water flow, potential blockage of the water needle plate, or pulsating water supply pressure. In this situation, maintaining high hydroentangling pressure not only fails to effectively improve moisture content deviation but may also further damage the uniformity of fiber entanglement in the web due to the unevenness of water flow impact, leading to a decline in fabric quality. Therefore, in this embodiment, on the one hand, the hydroentangling pressure is reduced to decrease excessive and uneven impact on the web, protecting the fabric structure. Simultaneously, the drying temperature is increased to compensate for the reduced mechanical dehydration effect due to pressure reduction by increasing heat input, causing the moisture content to converge towards the target range. Therefore, while addressing the moisture content deviation, the deterioration of the fabric's CV value (coefficient of variation) can be effectively suppressed.

[0065] For example, step S105 may include the following steps:

[0066] S1051: Obtain the difference between the pressure fluctuation amplitude and the preset pressure fluctuation amplitude threshold.

[0067] For example, if the pressure fluctuation amplitude is 0.8 MPa and the preset pressure fluctuation amplitude threshold is 0.5 MPa, then the difference is 0.3 MPa.

[0068] S1052: Based on the difference, determine the pressure reduction adjustment amount and the temperature increase adjustment amount, wherein the value of the pressure reduction adjustment amount is positively correlated with the magnitude of the difference, and the value of the temperature increase adjustment amount is positively correlated with the magnitude of the difference.

[0069] Understandably, a larger difference indicates more drastic pressure fluctuations and a more unstable water flow, requiring a greater reduction in pressure to protect the fabric surface, as well as a greater increase in temperature to compensate for the loss of dehydration capacity. Conversely, a smaller difference indicates a corresponding decrease in the magnitude of pressure reduction and temperature increase.

[0070] For example, this positive correlation can be achieved through a preset mapping function or lookup table. For instance, the difference can be divided into several intervals, each interval corresponding to a set of pressure reduction and temperature increase adjustment amounts. A simple implementation is to set the pressure reduction adjustment amount as the product of the difference and a first proportional coefficient, and the temperature increase adjustment amount as the product of the difference and a second proportional coefficient. Of course, the mapping can also be implemented in other ways, which are not limited in this application. It is understandable that by matching the adjustment range with the degree of abnormal operating conditions, over-adjustment or under-adjustment problems caused by fixed adjustments can be avoided.

[0071] Optionally, in some embodiments, after determining the first adjustment command, the following may also be included:

[0072] S202: Determine whether the increased drying temperature value exceeds the preset safe upper limit of the drying temperature.

[0073] Understandably, the safe upper limit for drying temperature is determined based on a combination of the rated operating temperature of the drying equipment and the heat resistance temperature of the fiber web material. For example, for common polyester / viscose blended spunlace fabrics, the safe upper limit for drying temperature can be set to 120°C to 150°C.

[0074] S203: If the drying temperature exceeds the safe upper limit, the temperature increase adjustment amount in the first adjustment command is modified to make the adjusted drying temperature equal to the safe upper limit of the drying temperature, and the pressure decrease adjustment amount in the first adjustment command is increased.

[0075] Understandably, when the drying temperature has reached the safe upper limit and the dehydration capacity can no longer be compensated by increasing heat energy, the system further reduces the mechanical impact on the fiber web by reducing the hydroentanglement pressure, thereby reducing the bound water content inside the fiber web. This allows the moisture content to converge toward the target even when the heat source capacity is limited, thus ensuring that the control target can still be achieved under multiple constraints.

[0076] S106: If the pressure fluctuation amplitude is less than the pressure fluctuation threshold, then obtain the fiber web traveling speed value corresponding to the target time.

[0077] Understandably, the fiber web traveling speed can be obtained by converting the speed of the drive motor of the drafting device, or by directly measuring it through a speed sensor installed on the conveyor screen. This application does not impose any limitations on this.

[0078] S107: Generate a second adjustment command based on the web travel speed value and the drying temperature value. The second adjustment command is used to increase the drying temperature value and decrease the web travel speed value.

[0079] Understandably, when pressure fluctuations are small, it indicates that the hydroentangling system is operating stably. At this time, moisture content deviations are mainly caused by insufficient drying capacity or excessive web flow rate. Therefore, increasing the drying temperature can enhance the evaporation capacity of hot air from the web, while simultaneously reducing the web's travel speed to prolong its residence time in the drying device, allowing deeper moisture more time to escape. Through the combined effects of heat and time, the moisture content steadily returns to the target range, avoiding the problem of over-drying the fabric surface while the internal moisture content remains high due to simply increasing the temperature.

[0080] Specifically, step S107 may include the following steps:

[0081] S1071: Obtain the moisture content deviation between the target moisture content value of the fiber web and the preset target moisture content value.

[0082] Understandably, the preset target moisture content is the desired output moisture content, which can be set as the midpoint between the maximum and minimum preset moisture content, or individually according to product specifications. This application does not impose any limitations on this. The moisture content deviation is equal to the target web moisture content minus the preset target moisture content, i.e., when the moisture content is too high, or the preset target moisture content minus the target web moisture content, i.e., when the moisture content is too low; the absolute value is taken.

[0083] S1072: Based on the moisture content deviation value, determine the speed reduction adjustment amount and the temperature increase adjustment amount. The speed reduction adjustment amount is positively correlated with the absolute value of the moisture content deviation value, and the temperature increase adjustment amount is positively correlated with the absolute value of the moisture content deviation value.

[0084] Understandably, a larger moisture content deviation indicates a more severe deviation from the target moisture content, requiring a greater reduction in drying speed to extend the drying time, and a greater increase in temperature to enhance drying intensity. Conversely, a smaller deviation requires a correspondingly smaller adjustment. The technical solution in this embodiment achieves dynamic matching between the adjustment range and the degree of process deviation, enabling strong intervention for rapid correction of large deviations and fine-tuning for small deviations to avoid excessive sacrifice of yield.

[0085] Furthermore, after determining the second adjustment instruction, the following steps may also be included:

[0086] S301: Determine whether the reduced fiber web travel speed is lower than the preset minimum production speed limit.

[0087] The minimum production speed limit is determined based on the minimum stable operating speed and capacity requirements of the production line. Too low a speed not only affects output but may also cause the fiber web to remain in the drying unit for too long, resulting in over-drying or discoloration of the fabric.

[0088] S302: If the speed is lower than the minimum production speed limit, the speed reduction adjustment amount is corrected so that the adjusted fiber web travel speed is equal to the minimum production speed limit, and the temperature rise adjustment amount is increased.

[0089] Understandably, when the rate of decrease has reached the bottom line of production capacity and the problem can no longer be solved by extending the drying time, the insufficient drying time can be compensated by further increasing the heat input, so as to ensure that the moisture content can still converge to the target while guaranteeing the basic output.

[0090] S108: After executing the first or second adjustment command, continuously acquire multiple fiber web moisture content values.

[0091] Specifically, after the adjustment command is executed, the control terminal can continuously monitor the change in the moisture content of the fiber web at the outlet and record the moisture content values ​​at multiple consecutive sampling times.

[0092] S109: When the moisture content of the fiber web returns to between the maximum preset moisture content and the minimum preset moisture content, determine the direction of deviation of the moisture content of the fiber web when the adjustment is triggered.

[0093] Understandably, when the moisture content values ​​at consecutive preset sampling times all fall within the normal range, it can be determined that the adjustment has stabilized and taken effect. Determining the direction of deviation of the fiber web moisture content value when the adjustment is triggered means determining whether the moisture content was too high (greater than the maximum preset moisture content value) or too low (less than the minimum preset moisture content value) when the adjustment was initially triggered.

[0094] S110: If the moisture content of the fiber web is greater than the maximum preset moisture content when the adjustment is triggered, the target hydroentanglement pressure value will be restored first.

[0095] For example, the control terminal can generate a reset command to restore the target hydroentanglement pressure value to the value before adjustment, and can selectively maintain the target drying temperature value unchanged, or subsequently gradually restore it.

[0096] S111: If the moisture content of the fiber web is less than the minimum preset moisture content when the adjustment is triggered, the target drying temperature value will be restored first.

[0097] At this point, the reset command is used to restore the target drying temperature value to its original value before adjustment, and may selectively maintain other parameters unchanged.

[0098] Understandably, in this application, the order of adjustments can be determined based on the cause of the adjustment. When the moisture content is too high, it indicates that there was insufficient dehydration previously, and the pressure reduction is a compromise made to protect the fabric surface. Therefore, after the adjustment takes effect, the priority should be to restore the dehydration capacity. When the moisture content is too low, it indicates that there was excessive drying previously, and heating is the main intervention method. Therefore, after the adjustment takes effect, the priority should be to reduce energy consumption. In this way, quality stability is ensured while minimizing secondary disturbances during the parameter recovery process.

[0099] Optionally, in order to adapt to different product characteristics, this embodiment may also include the following steps:

[0100] S112: Obtain the unit area mass setting value for the production fiber web.

[0101] Understandably, area mass, or product weight, is an important specification parameter of spunlace fabric, usually predetermined by the production process. The greater the area mass, the thicker and heavier the web.

[0102] S113: Based on the unit area mass setting value, adjust the value of the preset pressure fluctuation amplitude threshold, wherein the value of the preset pressure fluctuation amplitude threshold is negatively correlated with the magnitude of the unit area mass setting value.

[0103] Understandably, during high-pressure hydroentangling, thicker fiber webs are far more susceptible to damage to fiber entanglement uniformity due to pressure fluctuations than thinner webs. This is because thicker webs have more fiber layers, increasing the risk of interlayer misalignment caused by water flow disturbances. Therefore, a smaller, more sensitive threshold for pressure fluctuation needs to be set to identify the risk earlier and promptly initiate temperature and pressure reduction to protect fabric quality. Conversely, thinner webs are relatively more tolerant of pressure fluctuations, allowing for a slightly larger threshold to be set.

[0104] For example, when producing thin spunlace nonwoven fabric with a basis weight of 40 g / m², the preset pressure fluctuation threshold can be set to 0.6 MPa; when producing thick spunlace nonwoven fabric with a basis weight of 80 g / m², the threshold can be adjusted to 0.4 MPa.

[0105] This application proposes an intelligent control method for a spunlace fabric production line. The method includes: acquiring the moisture content value of the fiber web at the exit point; when the moisture content value exceeds a preset range, acquiring multiple spunlace head pressure values ​​within a detection cycle and determining the pressure fluctuation amplitude; if the pressure fluctuation amplitude is greater than a preset threshold, generating a first adjustment command to increase the drying temperature and decrease the spunlace pressure value; if the pressure fluctuation amplitude is less than the preset threshold, generating a second adjustment command to increase the drying temperature and decrease the fiber web travel speed. This invention introduces the spunlace head pressure fluctuation amplitude as a basis for distinguishing working conditions, adopting differentiated collaborative adjustment strategies under different working conditions. This achieves precise control of moisture content deviation while effectively suppressing the deterioration of fabric uniformity, thus improving the intelligent control level and product quality stability of the spunlace fabric production line.

[0106] Based on the same inventive concept, embodiments of this application also propose an intelligent control system for a spunlace fabric production line. Please refer to [link to relevant documentation]. Figure 2 ,include:

[0107] Moisture content acquisition module, which is used to acquire the moisture content value of the fiber web at the outlet at the target time;

[0108] The pressure acquisition module is used to acquire multiple water jet pressure values ​​within a detection cycle, with the target time as the end point and the start time before the target time as the start point, when the moisture content of the fiber web is greater than the maximum preset moisture content or less than the minimum preset moisture content.

[0109] The determination module is used to determine the pressure fluctuation amplitude within the detection cycle based on multiple hydrospinning head pressure values.

[0110] The first comparison module is used to compare the pressure fluctuation amplitude with the preset pressure fluctuation amplitude threshold. If the pressure fluctuation amplitude is greater than the preset pressure fluctuation amplitude threshold, the target hydroentanglement pressure value and target drying temperature value corresponding to the target time are obtained.

[0111] The first instruction generation module is used to determine a first adjustment instruction based on the target hydroentanglement pressure value and the target drying temperature value, wherein the first adjustment instruction is used to increase the target drying temperature value and decrease the target hydroentanglement pressure value.

[0112] The speed acquisition module is used to acquire the fiber web traveling speed value at the target time if the pressure fluctuation amplitude is less than the pressure fluctuation threshold.

[0113] The second instruction generation module is used to generate a second adjustment instruction based on the fiber web traveling speed value and the drying temperature value. The second adjustment instruction is used to increase the drying temperature value and decrease the fiber web traveling speed value.

[0114] This application proposes an intelligent control system for a spunlace fabric production line. First, it acquires the moisture content of the fiber web at the exit point. When the moisture content exceeds a preset range, it acquires multiple pressure values ​​from the spunlace heads within a detection cycle and determines the pressure fluctuation amplitude. If the pressure fluctuation amplitude is greater than a preset threshold, a first adjustment command is generated to increase the drying temperature and decrease the spunlace pressure. If the pressure fluctuation amplitude is less than the preset threshold, a second adjustment command is generated to increase the drying temperature and decrease the fiber web travel speed. This invention introduces the spunlace head pressure fluctuation amplitude as a basis for distinguishing working conditions, adopting differentiated collaborative adjustment strategies under different working conditions. This achieves precise control of moisture content deviation while effectively suppressing the deterioration of fabric uniformity, thus improving the intelligent control level and product quality stability of the spunlace fabric production line.

[0115] Based on the same inventive concept, embodiments of this application also propose an electronic device, which includes:

[0116] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to execute the intelligent control method for the spunlace nonwoven fabric production line according to the embodiments of this application.

[0117] In addition, to achieve the above objectives, embodiments of this application also propose a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the intelligent control method for the spunlace fabric production line of this application.

[0118] The following is a detailed introduction to the various components of the electronic device:

[0119] In this context, the processor is the control center of the electronic device. It can be a single processor or a collective term for multiple processing elements. For example, a processor can be one or more central processing units (CPUs), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention, such as one or more digital signal processors (DSPs), or one or more field-programmable gate arrays (FPGAs).

[0120] Alternatively, the processor can perform various functions of the electronic device by running or executing software programs stored in memory and by calling data stored in memory.

[0121] The memory is used to store the software program that executes the solution of the present invention, and the execution is controlled by the processor. The specific implementation method can be referred to the above method embodiment, and will not be repeated here.

[0122] Optionally, the memory can be read-only memory (ROM) or other types of static storage devices capable of storing static information and instructions, random access memory (RAM) or other types of dynamic storage devices capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. The memory can be integrated with the processor or exist independently and coupled to the processor through an interface circuit of an electronic device; the embodiments of the present invention do not specifically limit this.

[0123] A transceiver is used to communicate with network devices or with terminal devices.

[0124] Optionally, the transceiver may include a receiver and a transmitter. The receiver is used to implement the receiving function, and the transmitter is used to implement the sending function.

[0125] Optionally, the transceiver can be integrated with the processor or exist independently and coupled to the processor through the router's interface circuit. This embodiment of the invention does not specifically limit this.

[0126] Furthermore, the technical effects of the electronic device can be referred to the technical effects of the data transmission method in the above method embodiments, and will not be repeated here.

[0127] It should be understood that the processor in the embodiments of the present invention can be a central processing unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0128] It should also be understood that the memory in the embodiments of the present invention can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDRSDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DRRAM).

[0129] The above embodiments can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the flow or function according to the embodiments of the present invention is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means. A computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. Semiconductor media can be solid-state drives.

[0130] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0131] In this invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0132] It should be understood that, in various embodiments of the present invention, the sequence number of each process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0133] 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 in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented 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 to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

Claims

1. A method for intelligent control of a spunlace nonwoven fabric production line, characterized in that, The method is applicable to an intelligent control system for a spunlace fabric production line. The system includes a control terminal, and the method is executed by the control terminal, including: Obtain the moisture content of the fiber web at the outlet corresponding to the target time; If the moisture content of the fiber web is greater than the maximum preset moisture content, obtain multiple water jet pressure values ​​within a detection cycle, with the target time as the end point and the starting time before the target time as the starting point; The pressure fluctuation range within the detection cycle is determined based on multiple water jet head pressure values. The pressure fluctuation amplitude is compared with a preset pressure fluctuation amplitude threshold. If the pressure fluctuation amplitude is greater than the preset pressure fluctuation amplitude threshold, the target hydroentanglement pressure value and target drying temperature value corresponding to the target time are obtained. A first adjustment command is determined based on the target hydroentanglement pressure value and the target drying temperature value, wherein the first adjustment command is used to increase the target drying temperature value and decrease the target hydroentanglement pressure value; If the pressure fluctuation amplitude is less than the preset pressure fluctuation amplitude threshold, then the fiber web traveling speed value corresponding to the target time is obtained; A second adjustment command is generated based on the web travel speed value and the drying temperature value. The second adjustment command is used to increase the drying temperature value and decrease the web travel speed value. Obtain the set value of the unit area mass of the produced fiber web; Based on the set value of mass per unit area, the value of the preset pressure fluctuation amplitude threshold is adjusted, wherein the value of the preset pressure fluctuation amplitude threshold is negatively correlated with the magnitude of the set value of mass per unit area.

2. The intelligent control method for a spunlace fabric production line according to claim 1, characterized in that, A first adjustment command is determined based on the target hydroentanglement pressure value and the target drying temperature value, wherein the first adjustment command is used to increase the target drying temperature value and decrease the target hydroentanglement pressure value, including: Obtain the difference between the pressure fluctuation amplitude and the preset pressure fluctuation amplitude threshold; Based on the difference, the pressure reduction adjustment amount and the temperature increase adjustment amount are determined, wherein the value of the pressure reduction adjustment amount is positively correlated with the magnitude of the difference, and the value of the temperature increase adjustment amount is positively correlated with the magnitude of the difference.

3. The intelligent control method for a spunlace fabric production line according to claim 1, characterized in that, A second adjustment command is generated based on the web travel speed value and the drying temperature value. The second adjustment command is used to increase the drying temperature value and decrease the web travel speed value, including: Obtain the moisture content deviation between the target moisture content value of the fiber web and the preset target moisture content value at the target time; Based on the moisture content deviation value, the speed reduction adjustment amount and the temperature increase adjustment amount are determined, wherein the value of the speed reduction adjustment amount is positively correlated with the absolute value of the moisture content deviation value, and the value of the temperature increase adjustment amount is positively correlated with the absolute value of the moisture content deviation value.

4. The intelligent control method for a spunlace fabric production line according to claim 3, characterized in that, A second adjustment command is generated based on the web travel speed value and the drying temperature value. After the second adjustment command increases the drying temperature value and decreases the web travel speed value, it further includes: Determine whether the reduced fiber web travel speed is lower than the preset minimum production speed limit; If the speed is lower than the minimum production speed limit, the speed reduction adjustment is corrected so that the adjusted fiber web travel speed is equal to the minimum production speed limit, and the temperature increase adjustment is increased.

5. An intelligent control system for a spunlace nonwoven fabric production line, characterized in that, The method for implementing the intelligent control method for a spunlace fabric production line as described in claim 1 includes: A moisture content acquisition module is used to acquire the moisture content value of the fiber web at the outlet corresponding to the target time. The pressure acquisition module is used to acquire multiple water jet pressure values ​​within a detection cycle, with the target time as the end point and the start time before the target time as the starting point, if the moisture content of the fiber web is greater than the maximum preset moisture content. The determining module is used to determine the pressure fluctuation amplitude corresponding to the detection cycle based on multiple water jet head pressure values; The first comparison module is used to compare the pressure fluctuation amplitude with a preset pressure fluctuation amplitude threshold. If the pressure fluctuation amplitude is greater than the preset pressure fluctuation amplitude threshold, the target hydroentanglement pressure value and the target drying temperature value corresponding to the target time are obtained. A first instruction generation module is configured to determine a first adjustment instruction based on the target hydroentanglement pressure value and the target drying temperature value, wherein the first adjustment instruction is configured to increase the target drying temperature value and decrease the target hydroentanglement pressure value. A speed acquisition module is used to acquire the fiber web traveling speed value corresponding to the target time if the pressure fluctuation amplitude is less than the preset pressure fluctuation amplitude threshold. The second instruction generation module is used to generate a second adjustment instruction based on the fiber web traveling speed value and the drying temperature value. The second adjustment instruction is used to increase the drying temperature value and decrease the fiber web traveling speed value.

6. An electronic device, characterized in that, include: At least one processor; And, a memory communicatively connected to at least one of the processors; The memory stores instructions that can be executed by at least one of the processors, which are executed by at least one of the processors to enable the at least one of the processors to perform the intelligent control method for a spunlace fabric production line as claimed in any one of claims 1-5.

7. A computer-readable storage medium, characterized in that, It stores a computer program, which, when executed by a processor, implements an intelligent control method for a spunlace fabric production line as claimed in any one of claims 1-4.

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