Method and apparatus for drying chopped glass strands

Abstract

The application provides a glass fiber chopped yarn drying method and device, and belongs to the technical field of alarm data analysis. The method comprises the following steps: S1: extending into the inside of a hot air drying furnace and configuring a temperature point, and collecting the real-time surface temperature of the chopped yarn; S2: constructing a control model, comparing the collected real-time surface temperature with a temperature setting value, if the real-time surface temperature is equal to the temperature setting value, stopping execution, if the real-time surface temperature is not equal to the temperature setting value, inputting the real-time surface temperature into the control model to output an opening value of an air inlet valve corresponding to the surface temperature; S3: adjusting the opening of the air inlet valve in real time according to the opening value. The application collects the surface temperature of the chopped yarn, which can directly reflect the drying effect, obtains the opening value through the control model, adjusts the opening of the air inlet valve in real time according to the opening value, automatically adjusts the air inlet amount of the air inlet valve, realizes the temperature closed-loop automatic adjustment of drying, and the drying effect is stable.

Description

Technical Field

[0001] This invention relates to the field of chopped strand production technology, and more specifically, to a method and apparatus for drying glass fiber chopped strand. Background Technology

[0002] In the current production process, the air temperature at various points in the drying oven is measured through manual observation holes to manually adjust the hot air inlet opening, thereby controlling the drying of chopped yarn. The following problems exist:

[0003] 1) The ambient temperature at each point in the drying oven is measured manually, and the ambient temperature cannot directly reflect the drying effect. The surface temperature of the chopped yarn should be measured directly.

[0004] 2) Production staff manually adjust the hot air intake by manually measuring the ambient temperature data, failing to achieve closed-loop automatic temperature control for drying;

[0005] In summary, the existing control methods lead to problems such as unstable drying effects of chopped strands (easily overheated or insufficiently dried). Summary of the Invention

[0006] To address the aforementioned issues, this application provides a method and apparatus for drying chopped fiberglass strands.

[0007] In one aspect, this application provides a method for drying chopped fiberglass strands, comprising the following steps:

[0008] S1: Insert into the inside of the hot air drying oven and configure the temperature point to collect the real-time surface temperature of the chopped yarn;

[0009] S2: Construct a control model, compare the collected real-time surface temperature with the temperature setpoint. If the real-time surface temperature is equal to the temperature setpoint, stop execution. If the real-time surface temperature is not equal to the temperature setpoint, input the real-time surface temperature into the control model and output the opening value of the intake valve corresponding to the surface temperature.

[0010] S3: Adjust the opening of the intake valve in real time according to the opening value.

[0011] Preferably, step S1 includes: tilting multiple infrared thermal imagers inside the hot air drying oven so that the acquisition range of the multiple infrared thermal imagers can fully cover the inside of the oven.

[0012] Preferably, step S1 further includes: dividing the hot air drying oven into a preheating section, a uniform drying section, and a deceleration drying section, and setting multiple temperature calibration points on the centerline of the oven chamber, wherein the temperature calibration points set in the preheating section and the uniform drying section are sparser than the temperature calibration points set in the deceleration drying section.

[0013] Preferably, step S2, which involves inputting the real-time surface temperature into the control model to predict and obtain the opening value of the intake valve corresponding to the surface temperature, specifically includes:

[0014] S21: Input the surface temperatures measured at multiple calibration temperature points into the control model;

[0015] S22: Obtain the opening value of the intake valve based on multiple surface temperature predictions;

[0016] S23: Perform multi-step predictions at each time step to obtain the optimal control strategy through optimization, and obtain the optimal opening value based on the optimal control strategy.

[0017] Preferably, the method further includes step S4: comparing the surface temperature collected at each sampling time with the set temperature and obtaining the feedback adjustment opening value of the intake valve based on the comparison, and returning to step S3.

[0018] Preferably, step S21 further includes: standardizing the surface temperatures collected in the preheating section and the uniform drying section; uniformly taking several infrared measurement points on both sides of the first preset temperature calibration point at the center line of the furnace; and then using a formula... A weighted average is applied to it, and this weighted average is used as the input value of the control model, where C i This indicates the calibration point temperature value introduced into the control loop, and K represents the number of calibration points selected for the first preset temperature calibration point.

[0019] Preferably, step S21 further includes: performing standard processing on the surface temperature collected in the slow-drying section, performing differential processing on the data of the two temperature measurements before and after the sampling interval, and introducing the differential value as an additional input into the control model.

[0020] Secondly, embodiments of this application provide a glass fiber chopped strand drying device, including...

[0021] The data acquisition module is used to extend into the inside of the hot air drying oven and configure temperature points to acquire the real-time surface temperature of the chopped yarn.

[0022] The calculation module is used to build a control model. It compares the collected real-time surface temperature with the temperature setpoint. If the real-time surface temperature is equal to the temperature setpoint, the execution stops. If the real-time surface temperature is not equal to the temperature setpoint, the real-time surface temperature is input into the control model to output the opening value of the intake valve corresponding to the surface temperature.

[0023] The execution module is used to adjust the opening degree of the intake valve in real time according to the opening degree value.

[0024] Thirdly, embodiments of this application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method provided as in the first aspect or any possible implementation of the first aspect.

[0025] Fourthly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method provided as in the first aspect or any possible implementation thereof.

[0026] The beneficial effects of this invention are as follows: the surface temperature of the chopped yarn can be collected to directly reflect the drying effect; the opening value is obtained by controlling the model, and the opening of the air inlet valve is adjusted in real time according to the opening value, so as to automatically adjust the air intake of the air inlet valve, thereby realizing the closed-loop automatic adjustment of the drying temperature and the stable drying effect. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 A schematic flowchart illustrating a method for drying chopped fiberglass yarn provided in an embodiment of this application;

[0029] Figure 2 This is a schematic diagram of a glass fiber chopped strand drying device provided in an embodiment of this application;

[0030] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application;

[0031] Figure 4 A schematic diagram illustrating the composition of an automatic control scheme in a method for drying chopped fiberglass yarn provided in this application embodiment;

[0032] Figure 5 A schematic diagram illustrating the deployment of an infrared temperature measuring camera in a method for drying chopped fiberglass yarn provided in an embodiment of this application;

[0033] Figure 6 This is a schematic diagram illustrating the calibration of the drying temperature curve in a method for drying chopped fiberglass yarn provided in an embodiment of this application.

[0034] Figure 7 A schematic diagram of infrared temperature calibration in a method for drying chopped fiberglass yarn provided in an embodiment of this application;

[0035] Figure 8 A control block diagram of a glass fiber chopped strand drying device provided in the embodiments of this application;

[0036] Figure 9 This is a flowchart illustrating the control model in a method for drying chopped fiberglass yarn provided in an embodiment of this application. Detailed Implementation

[0037] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0038] In the following description, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. The following description provides multiple embodiments of this application, which can be substituted or combined with each other. Therefore, this application can also be considered to include all possible combinations of the same and / or different embodiments described. Thus, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, then this application should also be considered to include embodiments containing one or more other possible combinations of A, B, C, and D, even if such embodiments are not explicitly described in the following text.

[0039] The following description provides examples and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made to the function and arrangement of the described elements without departing from the scope of this application. Various processes or components may be appropriately omitted, substituted, or added to the examples. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.

[0040] Please see Figure 1 , 4 -9. Figure 1 This is a schematic flowchart of a method for drying chopped fiberglass yarn provided in an embodiment of this application. In this embodiment, the method includes the following steps:

[0041] S1: Insert into the inside of the hot air drying oven and configure the temperature point to collect the real-time surface temperature of the chopped yarn;

[0042] S2: Construct a control model, compare the collected real-time surface temperature with the temperature setpoint. If the real-time surface temperature is equal to the temperature setpoint, stop execution. If the real-time surface temperature is not equal to the temperature setpoint, input the real-time surface temperature into the control model and output the opening value of the intake valve corresponding to the surface temperature.

[0043] S3: Adjust the opening of the intake valve in real time according to the opening value.

[0044] In this embodiment, the device extends into the inside of the hot air drying oven and configures temperature points to obtain the real-time surface temperature of the chopped yarn. During the operation of the chopped yarn, a temperature setpoint is set. If the real-time surface temperature is not equal to the temperature setpoint, i.e., the real-time surface temperature is not within the range of the temperature setpoint, the real-time surface temperature is input into the control model to output the opening value of the air inlet valve corresponding to the surface temperature. The opening of the air inlet valve is adjusted in real time according to the opening value. This application is a control scheme that can automatically monitor the drying temperature and realize closed-loop control of the hot air drying oven.

[0045] In this embodiment, chopped glass fiber yarn (hereinafter referred to as "chopped glass fiber yarn") is a fiber material used to reinforce composite materials, obtained by shaving glass fiber filaments. After drying, this chopped yarn serves as a base material for manufacturing glass fiber reinforced plastics, glass fiber reinforced cement, and other composite material products. It possesses high strength, corrosion resistance, and high-temperature resistance, and is widely used in aerospace, construction, automotive, and electronics industries.

[0046] Infrared thermal imager: A device that uses an infrared camera to detect the infrared radiation emitted by an object and convert it into a video stream with temperature information. It is currently widely used in many fields, including construction, power, medicine, industry, and security.

[0047] DCS: Distributed Control System. It is a new generation of instrument control system based on microprocessors, which adopts the design principles of decentralized control functions, centralized display and operation, and consideration of both decentralized autonomy and comprehensive coordination.

[0048] Fiberglass hot air drying oven: This is a device that uses hot air to dry fiberglass. It consists of a vibrating screen, hot air inlet duct and valves, and exhaust duct. The inlet duct is typically located at the bottom, allowing hot air to enter the oven from the bottom, exchange heat with the chopped strands, remove surface moisture, and exit the oven through the exhaust duct. The oven has manual observation ports on both sides for easy measurement of the oven temperature and monitoring of production.

[0049] In one possible implementation, step S1 includes: tilting multiple infrared thermal imagers inside the hot air drying oven so that the acquisition range of the multiple infrared thermal imagers can fully cover the inside of the oven.

[0050] In the embodiments of this application, the current production process has problems such as the inability to directly measure the temperature of chopped yarn and the open-loop manual adjustment of drying control, resulting in many problems such as insufficient drying or over-drying leading to overburning of chopped yarn and waste yarn. Therefore, a more precise drying control method is needed to ensure stable production.

[0051] This invention mainly provides a closed-loop control method for automatic monitoring of chopped yarn temperature and drying curve of hot air drying oven. The problems to be solved by this invention mainly include the following aspects:

[0052] 1) An infrared thermal imager is installed inside the hot air drying oven to ensure full coverage of the oven chamber and achieve non-contact measurement of the surface temperature of the chopped yarn; and temperature points are configured for the infrared thermal imager to develop a process control temperature curve for drying the chopped yarn.

[0053] 2) Based on the process control temperature curve, the opening of the air inlet valve of the hot air drying oven is automatically adjusted to achieve the following control of the process control temperature curve.

[0054] In one possible implementation, the axis of the infrared thermal imager's camera and the axis of the hot air drying oven are provided with an inclination angle.

[0055] In one possible implementation, the tilt angle is 72 to 82 degrees, and there are two infrared thermal imagers.

[0056] In the embodiments of this application, see Figure 5 To improve the accuracy of the process temperature control temperature curve, infrared temperature cameras were deployed:

[0057] Infrared temperature measuring devices are installed above each furnace, with the camera mounted at a certain tilt angle to ensure full-area measurement inside the furnace. In this application, the tilt angle is approximately 77°, and the furnace length is approximately 7 meters. To ensure full temperature measurement coverage of the entire furnace, two units are deployed.

[0058] In one possible implementation, step S1 further includes: dividing the hot air drying oven into a preheating section, a uniform drying section, and a deceleration drying section, and setting multiple temperature calibration points on the centerline of the oven chamber, wherein the temperature calibration points set in the preheating section and the uniform drying section are sparser than the temperature calibration points set in the deceleration drying section.

[0059] In the embodiments of this application, see Figure 6The infrared thermal imager will be configured with temperature points to collect multiple surface temperatures of the chopped yarn. Based on these surface temperatures, a process control temperature curve for drying the chopped yarn will be established. This drying temperature curve will then be input into the control model, and the opening value of the air inlet valve corresponding to that surface temperature will be output. The number of temperature calibration points set in the preheating and uniform drying sections is less than the number set in the falling-rate drying section. To improve the accuracy of the drying temperature curve, it can be calibrated. The calibration of the drying temperature curve is as follows:

[0060] The hot air drying process is divided into three stages: preheating, uniform drying, and falling-rate drying. During the falling-rate drying stage, the surface temperature of the material rises rapidly. In practical applications, the drying temperature curve of chopped strands is accurately calibrated to ensure drying effectiveness and prevent over-burning of the chopped strands during the falling-rate drying stage. In practice, multiple temperature calibration points are set along the centerline of the furnace. Calibration is sparse in the chopped strand feeding section and during uniform drying, and densely packed in the falling-rate drying section.

[0061] In one possible implementation, step S2, which involves inputting the real-time surface temperature into the control model to predict and obtain the opening value of the intake valve corresponding to the surface temperature, specifically includes:

[0062] S21: Input the surface temperatures measured at multiple calibration temperature points into the control model;

[0063] S22: Obtain the opening value of the intake valve based on multiple surface temperature predictions;

[0064] S23: Perform multi-step predictions at each time step to obtain the optimal control strategy through optimization, and obtain the optimal opening value based on the optimal control strategy.

[0065] In this embodiment of the application, the input of the control model is the surface temperature measured at multiple calibration temperature points, and the output of the control model is the opening degree of multiple intake valves. The control model includes a prediction unit and a rolling optimization unit. The prediction unit is used to obtain the opening degree value of the intake valve according to the surface temperature, and the rolling optimization unit is used to perform multi-step prediction at each time step to obtain the optimal control strategy through optimization solution.

[0066] In one possible implementation, the method further includes step S4: comparing the surface temperature collected at each sampling time with the set temperature and obtaining the feedback adjustment opening value of the intake valve based on the comparison, and returning to step S3.

[0067] In this embodiment, the feedback correction unit is used to compare the surface temperature collected at each sampling time with the set temperature and obtain the feedback adjustment opening value of the intake valve based on the comparison. After obtaining the first opening value based on the first real-time surface temperature prediction, the opening of the air inlet valve is adjusted according to the first opening value. Since the difference between the surface temperature and the temperature setpoint is large at this time, the first opening value obtained at this time is large, which changes the hot air volume in the furnace, thereby changing the surface temperature of the chopped yarn. The surface temperature at this time is collected. At this time, the difference between the surface temperature and the temperature setpoint decreases. The difference between the surface temperature and the temperature setpoint is collected. The corresponding feedback adjustment opening value is obtained based on this difference. Since the surface temperature and the temperature setpoint decrease at this time, the feedback adjustment opening value is smaller than the first opening value. This process is repeated. The surface temperature of the chopped yarn is collected at each moment, and the surface temperature and the temperature setpoint are compared to obtain the comparison results. If the difference between the two decreases, the opening of the air inlet valve needs to be reduced. That is, as the difference between the surface temperature and the temperature setpoint gradually decreases, the opening of the air inlet valve needs to be gradually adjusted to decrease, thereby obtaining the corresponding feedback adjustment opening value at each moment. The opening of the air inlet valve is controlled according to the feedback adjustment opening value.

[0068] In this embodiment, the chopped yarn temperature control model is a multi-input multi-output control model, and the calibration temperature points and the opening degree of the hot air valve are complex control models involving multiple coupled factors. The control model is attached. Figure 8 As shown.

[0069] In this embodiment, the multi-input multi-output system employs model predictive control. The controlled variable is the surface temperature of the chopped strands; the manipulated variable is the given value of the hot air valve opening. The model predictive algorithm of the chopped strand drying control model consists of a predictive module unit and a rolling optimization unit.

[0070] In this embodiment, the prediction unit is the foundation of model predictive control. Its main function is to predict the future output of the system based on the current information of the object and future inputs. In this invention, a step response is used as the prediction model. The rolling optimization unit: Model predictive control determines the control action by achieving the optimal temperature point following performance index (i.e., minimizing the mean square error of temperature at each calibration point). This optimization is performed repeatedly online. It performs multi-step predictions at each control moment and selects the best control strategy through optimization solutions.

[0071] In this embodiment of the application, the feedback correction unit: in order to prevent the control from deviating from the ideal state due to model mismatch or environmental interference, at each sampling time, detects the actual output of the object, and uses this real-time information to correct the model-based prediction results, and then performs new optimization.

[0072] The flowchart of the control model is as follows:

[0073] 1. Define the system model: Determine the state equations and output equations of the system to be controlled, and establish a mathematical model to describe the dynamic behavior of the system. In this invention, the step response of glass fiber chopped strand temperature control is used as the prediction model.

[0074] 2. Set control objectives and constraints: Based on actual needs, set control objectives, such as desired state or output value. In this invention, the tracking characteristic of the drying temperature curve, i.e., the cumulative mean square difference between the actual control temperature and the set temperature, is used as the control objective, and the constraints are the upper and lower limit thresholds of the temperature at each point.

[0075] 3. Initialization: Set the system's initial state to the current state, and set the time step and control time domain length.

[0076] 4. Model Prediction: Based on the system model and the current state, a prediction model is used to predict the system behavior in the future time domain.

[0077] 5. Optimization Solution: The control objective and constraints of the system are transformed into an optimization problem. The optimal control input sequence for the system in the future time steps is obtained by solving the optimization algorithm.

[0078] 6. Control Update: Select the first input from the optimal control input sequence as the control operation for the current moment and implement the control. Simultaneously, update the system state to prepare for control in the next moment.

[0079] 7. Cyclic execution: Repeat the above steps continuously according to the set time step until the set termination condition is met or control is stopped.

[0080] Through the above process, the MPC algorithm can achieve dynamic prediction and optimization control of the system to meet the set control objectives. It also dynamically adjusts based on the actual response of the system during operation, thereby achieving better control performance. The algorithm flowchart is attached. Figure 9 As shown. The algorithm flow specifically includes: start; setting the initial control value u. i (0)→u i , where u i This represents the initial value of the surface temperature; the actual output is detected and the initial predicted value is set; the control increment is calculated. Where y(i) and w both represent surface temperatures; calculate and output the control quantity: u i +Δu→u i ; Calculate and output the predicted value: Where y(i) represents the opening value, a i The number of surface temperatures indicates the total surface temperature. Indicates the opening value; detects the actual output of the controlled variable and calculates the error. yi , All represent opening values; predicted value correction. Represent the opening value; optimize the objective function and calculate the target value of the process variables. Where λ i Indicates the number of opening values. This indicates the opening value corresponding to the previous surface temperature of the current surface temperature. Δy represents the opening value corresponding to the next surface temperature after the current surface temperature. i This represents the difference between the current surface temperature corresponding to the opening value and two adjacent opening values; calculate the output value of the manipulated variable. Where a i Indicates the number of opening values. This represents the opening value, Δu represents the temperature increment between two adjacent surfaces, and b j Represents the number of surface temperatures; calculates the output value of the manipulated variables. in f(Δu) represents the opening value. j (l) represents a conversion function where the input is surface temperature and the output is the opening value; it returns.

[0081] In one possible implementation, step S21 further includes: performing standard processing on the surface temperatures collected in the preheating section and the uniform drying section as follows: On both sides of the first preset temperature calibration point at the center line of the furnace, a number of infrared measurement points are evenly selected, and the surface temperatures are then processed using the formula... A weighted average is applied to it, and this weighted average is used as the input value of the control model, where C i This indicates the calibration point temperature value introduced into the control loop, and K represents the number of calibration points selected for the first preset temperature calibration point.

[0082] In one possible implementation, step S21 further includes: performing the following standard processing on the surface temperature collected in the falling drying section: performing differential processing on the data from the two consecutive temperature measurements according to the sampling interval, and introducing the differential value as an additional input into the control model.

[0083] In this embodiment of the application, the calibration of the infrared temperature measurement point is as follows:

[0084] The measurement accuracy of infrared temperature measurement systems is generally around 1%. Since the temperature inside a drying oven is below 300℃, this level of accuracy is insufficient for closed-loop control without processing. Therefore, temperature data requires processing. Because hot air enters from the bottom and exits from the top of the drying oven, under normal circumstances, the temperature difference at a uniform longitudinal position inside the oven should be minimal. Therefore, several infrared measurement points are evenly selected on both sides of a temperature measurement point at the oven's centerline, and a weighted average is taken. This weighted average is then used as the input value to the control loop. (See [link to relevant documentation]). Figure 7 In addition, during the slow-drying section, a differential input method is used to prevent overheating caused by excessively rapid temperature rise. In practical applications, the temperature data from two consecutive measurements are differentially processed according to the sampling interval, and the difference value is used as an additional input to the controller.

[0085] In addition, to ensure the stability of the temperature curve, upper and lower limits are set for each calibration temperature point. In practical applications, the limit value is ±3℃.

[0086] In this application, the shortcomings of existing control schemes for chopped strand drying systems are analyzed, and a general technical solution is proposed to achieve surface temperature measurement of chopped strands and dynamic tracking of the drying curve. This application also proposes a multi-input multi-output control model to achieve decoupling of multivariable parameters, parameter prediction, and dynamic parameter correction in the chopped strand drying system. This enables more precise and efficient drying control, solving problems such as unstable drying during glass fiber chopped strand production, and achieving stable production and product quality.

[0087] The following will be combined with the appendix Figure 2 This application provides a detailed description of a glass fiber chopped strand drying apparatus according to its embodiments. It should be noted that the appendix... Figure 2 The illustrated glass fiber chopped strand drying apparatus is used to perform the functions described in this application. Figure 1 The methods shown in the embodiments are for illustrative purposes only, illustrating the parts relevant to the embodiments of this application. For specific technical details not disclosed, please refer to this application. Figure 1 The example shown.

[0088] Please see Figure 2 , Figure 2 This is a schematic diagram of a glass fiber chopped strand drying device provided in an embodiment of this application. Figure 2 As shown, the device includes

[0089] The data acquisition module 201 is used to extend into the inside of the hot air drying oven and configure temperature points to acquire the real-time surface temperature of the chopped yarn.

[0090] The calculation module 202 is used to construct a control model. It compares the collected real-time surface temperature with the temperature setpoint. If the real-time surface temperature is equal to the temperature setpoint, the execution stops. If the real-time surface temperature is not equal to the temperature setpoint, the real-time surface temperature is input into the control model to output the opening value of the intake valve corresponding to the surface temperature.

[0091] The execution module 203 is used to adjust the opening of the intake valve in real time according to the opening value.

[0092] Those skilled in the art will clearly understand that the technical solutions of the embodiments of this application can be implemented by means of software and / or hardware. In this specification, "unit", "module" and "part" refer to software and / or hardware that can independently complete or cooperate with other components to complete a specific function, wherein the hardware may be, for example, a field-programmable gate array (FPGA), an integrated circuit (IC), etc.

[0093] Each processing unit and / or module in the embodiments of this application can be implemented by an analog circuit that implements the functions described in the embodiments of this application, or by software that executes the functions described in the embodiments of this application.

[0094] See Figure 3 It shows a schematic diagram of the structure of an electronic device according to an embodiment of this application, which can be used to implement... Figure 1 The method in the illustrated embodiment. (As shown) Figure 3 As shown, the electronic device 300 may include: at least one central processing unit 301, at least one network interface 304, user interface 303, memory 305, and at least one communication bus 302.

[0095] The communication bus 302 is used to enable communication between these components.

[0096] The user interface 303 may include a display screen and a camera. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0097] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0098] The central processing unit 301 may include one or more processing cores. The central processing unit 301 connects to various parts within the electronic device 300 using various interfaces and lines. It executes various functions of the terminal 300 and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and by calling data stored in the memory 305. Optionally, the central processing unit 301 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The central processing unit 301 may integrate one or a combination of several of the following: a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), and a modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content required for display on the screen; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the central processing unit 301 and may be implemented as a separate chip.

[0099] The memory 305 may include random access memory (RAM) or read-only memory. Optionally, the memory 305 may include a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 305 may also be at least one storage device located remotely from the aforementioned central processing unit 301. Figure 3 As shown, the memory 305, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and program instructions.

[0100] exist Figure 3In the illustrated electronic device 300, the user interface 303 is mainly used to provide an input interface for the user and to acquire user input data; while the central processing unit 301 can be used to call a glass fiber chopped strand drying application stored in the memory 305 and specifically perform the following operations:

[0101] S1: Insert into the inside of the hot air drying oven and configure the temperature point to collect the real-time surface temperature of the chopped yarn;

[0102] S2: Construct a control model, compare the collected real-time surface temperature with the temperature setpoint. If the real-time surface temperature is equal to the temperature setpoint, stop execution. If the real-time surface temperature is not equal to the temperature setpoint, input the real-time surface temperature into the control model and output the opening value of the intake valve corresponding to the surface temperature.

[0103] S3: Adjust the opening of the intake valve in real time according to the opening value.

[0104] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method. The computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disks, optical disks, DVDs, CD-ROMs, microdrives, as well as magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic cards or optical cards, nanosystems (including molecular memory ICs), or any type of medium or device suitable for storing instructions and / or data.

[0105] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0106] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0107] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some service interface; the indirect coupling or communication connection between devices or units may be electrical or other forms.

[0108] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0109] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0110] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0111] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, which may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0112] The foregoing description is merely an exemplary embodiment of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Those skilled in the art will readily conceive of embodiments of this disclosure upon considering the specification and practicing the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described herein. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. A method for drying chopped fiberglass strands, characterized in that, Includes the following steps: S1: Insert into the inside of the hot air drying oven and configure the temperature point to collect the real-time surface temperature of the chopped yarn; S2: Construct a control model, compare the collected real-time surface temperature with the temperature setpoint. If the real-time surface temperature is equal to the temperature setpoint, stop execution. If the real-time surface temperature is not equal to the temperature setpoint, input the real-time surface temperature into the control model and output the opening value of the intake valve corresponding to the surface temperature. S3: Adjust the opening degree of the intake valve in real time according to the opening degree value; Step S2, which involves inputting the real-time surface temperature into the control model to predict and obtain the opening value of the intake valve corresponding to that surface temperature, specifically includes: S21: Input the surface temperatures measured at multiple calibration temperature points into the control model; S22: Obtain the opening value of the intake valve based on multiple surface temperature predictions; S23: Perform multi-step prediction at each time step to obtain the best control strategy through optimization, and obtain the optimal opening value based on the best control strategy; Step S21 also includes: standardizing the surface temperature collected in the falling drying section, performing differential processing on the data from the two temperature measurements before and after the sampling interval, and introducing the differential value as an additional input into the control model.

2. The method for drying chopped glass fiber yarn as described in claim 1, characterized in that, Step S1 includes: tilting multiple infrared thermal imagers inside the hot air drying oven so that the acquisition range of the multiple infrared thermal imagers can fully cover the inside of the oven.

3. A method for drying chopped glass fiber yarn as described in claim 1 or 2, characterized in that, Step S1 also includes: dividing the hot air drying oven into a preheating section, a uniform drying section, and a falling drying section, and setting multiple temperature calibration points on the centerline of the oven chamber, wherein the temperature calibration points set in the preheating section and the uniform drying section are sparser than the temperature calibration points set in the falling drying section.

4. The method for drying glass fiber chopped strands as described in claim 1, characterized in that, It also includes step S4: comparing the surface temperature collected at each sampling time with the set temperature and obtaining the feedback adjustment opening value of the intake valve based on the comparison, and returning to step S3.

5. The method for drying glass fiber chopped strands as described in claim 1, characterized in that, Step S21 also includes: standardizing the surface temperatures collected in the preheating and uniform drying sections; uniformly taking several infrared measurement points on both sides of the first preset temperature calibration point at the center line of the furnace; and then using the formula... A weighted average is then applied to it, and this weighted average is used as the input value of the control model. This indicates the calibration point temperature value introduced into the control loop, and K represents the number of calibration points selected for the first preset temperature calibration point.

6. A glass fiber chopped strand drying device, characterized in that: include The data acquisition module is used to extend into the inside of the hot air drying oven and configure temperature points to acquire the real-time surface temperature of the chopped yarn. The calculation module is used to build a control model. It compares the collected real-time surface temperature with the temperature setpoint. If the real-time surface temperature is equal to the temperature setpoint, the execution stops. If the real-time surface temperature is not equal to the temperature setpoint, the real-time surface temperature is input into the control model to output the opening value of the intake valve corresponding to the surface temperature. The execution module is used to adjust the opening degree of the intake valve in real time according to the opening degree value; The calculation module inputs the real-time surface temperature into the control model to predict and obtain the opening value of the intake valve corresponding to that surface temperature. Specifically, this includes: The surface temperatures measured at multiple calibration temperature points are input into the control model. The opening value of the intake valve is obtained based on multiple surface temperature predictions. At each time step, multi-step prediction is performed to obtain the optimal control strategy through optimization, and the optimal opening value is obtained based on the optimal control strategy. The calculation module inputs the surface temperatures measured at multiple calibration temperature points into the control model. It also includes: standardizing the surface temperatures collected in the falling drying section, performing differential processing on the data from two consecutive temperature measurements based on the sampling interval, and introducing the differential value as an additional input into the control model.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1-5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1-5.

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