Accurate temperature control degumming system and method for mulberry silk fabric

Abstract

The invention relates to the technical field of mulberry silk fabric processing, and discloses a mulberry silk fabric precise temperature control degumming system and a method thereof.The method includes the following steps that firstly, silk fabric surface temperature data are collected through distributed temperature sensors, and a temperature distribution thermodynamic diagram is generated and output to a central controller; the method comprises the following steps of 1, obtaining a temperature distribution thermodynamic diagram, 2, constructing a three-dimensional temperature field prediction model based on the temperature distribution thermodynamic diagram obtained in the step 1, and calculating colloid dissolution activation energy difference values of all areas, and 3, dynamically dividing gradient temperature control areas according to the activation energy difference values obtained in the step 2, and generating target temperature curves and time parameters of all the areas. According to the invention, through cooperative regulation and control of the multi-channel execution mechanism, the problem of non-uniform temperature distribution in a traditional process is effectively eliminated, and the heating uniformity of the fabric surface is remarkably improved, so that selective removal of sericin is realized, and high consistency of degumming degree is ensured while fiber damage is avoided; the strict requirements of high-end silk products on the material integrity are met.

Description

Technical Field

[0001] The present invention relates to the technical field of mulberry silk fabric processing, and in particular to a precise temperature-controlled degumming system and method for mulberry silk fabric. Background Art

[0002] Mulberry silk fabrics have always occupied an important position in the textile field due to their unique luster, soft feel and good moisture absorption. However, during the formation process of mulberry silk fibers, each cocoon silk is composed of two single filaments bonded together by sericin. Although the presence of sericin plays a protective role on the silk fibroin during the cocoon formation process, it has many adverse effects on the subsequent processing and performance of mulberry silk fabrics. Therefore, degumming has become an indispensable key link in the processing of mulberry silk fabrics.

[0003] At present, in the traditional mulberry silk fabric degumming process, in addition to the difficulty in accurately grasping the temperature control range, the limitations of temperature monitoring and control methods are also very prominent. The traditional process lacks an effective hybrid sensing network to comprehensively obtain multimodal temperature data, resulting in a large blind spot in the monitoring of the actual temperature of various regions of the fabric. It is impossible to fully and accurately grasp the temperature distribution on the surface and inside of the fabric during the degumming process, and it is difficult for process personnel to make targeted adjustments based on the actual temperature distribution. Summary of the Invention

[0004] In order to make up for the above shortcomings, the present invention provides a precise temperature-controlled degumming system and method for mulberry silk fabrics, aiming to improve the problems of inaccurate temperature control range, poor monitoring and control means, lack of effective network to obtain temperature data, and difficulty in grasping the temperature distribution in each area.

[0005] In a first aspect, the present invention provides the following technical solution: a method for precise temperature-controlled degumming of mulberry silk fabrics, comprising the following steps:

[0006] Step 1: Collect silk fabric surface temperature data through distributed temperature sensors, generate a temperature distribution thermogram and output it to the central controller;

[0007] Step 2: Based on the temperature distribution thermodynamic map of step 1, a three-dimensional temperature field prediction model is constructed to calculate the difference in activation energy of colloid dissolution in each region;

[0008] Step 3: Dynamically divide the gradient temperature control area according to the activation energy difference value in step 2, and generate the target temperature curve and time parameters for each area;

[0009] Step 4: Execute the target temperature curve of step 3 through the multi-channel solenoid valve group, adjust the hot air flow of the corresponding area in real time, and simultaneously collect the pH value of the solution as a feedback parameter;

[0010] Step 5: Compare the pH value obtained in step 4 with a preset threshold value. When the deviation exceeds ±0.3, the adaptive compensation algorithm in the adaptive compensation unit is triggered to generate a corrected alkali solution concentration control instruction.

[0011] Step 6: Based on the correction instruction in step 5, control the metering pump to output the compensation flow, and update the temperature-time control curve until the degumming degree reaches 89%±2%.

[0012] Through the above technical solution: through the spatial coverage and high-frequency sampling of the hybrid sensor network, the micro-fluctuations of the temperature field on the surface of the fabric can be captured in real time, providing high-resolution data support for subsequent modeling, overcoming the field of view limitations of traditional single-point temperature measurement, and based on the spatiotemporal feature analysis of deep learning, the energy demand differences of sericin dissolution in different regions can be accurately quantified, providing a scientific basis for gradient temperature control, avoiding the blindness of empirical process parameter setting, and realizing on-demand and targeted distribution of thermal energy through a zoning strategy driven by activation energy differences, thereby improving degumming uniformity while reducing energy consumption, which is especially suitable for complex weave structures. High-precision flow control and real-time chemical parameter acquisition form a closed process loop, ensuring the coordinated matching of dynamic adjustment of the temperature field and the solution state, suppressing process fluctuations, and establishing a dynamic response mechanism of the chemical environment and thermodynamic parameters. Through feedforward compensation, external interference is eliminated to maintain the steady state of the degumming reaction. The combination of non-contact optical detection and feedback control realizes intelligent determination of the degumming end point and process self-optimization, ensuring quality consistency between batches.

[0013] Preferably, in step 1, an infrared thermal imaging sensor array and contact thermocouples are used to form a hybrid sensing network, wherein the sampling frequency of the infrared sensor is 5 Hz ± 0.5 Hz, and the thermocouples are set at the intersection nodes of the warp and weft lines of the fabric.

[0014] Through the above technical solution: infrared and thermocouple data fusion, taking into account both surface temperature distribution and deep heat transfer characteristics, eliminating the measurement blind spot of a single sensor and improving the accuracy of temperature field reconstruction.

[0015] Preferably, in step 2, the prediction model adopts an improved LSTM neural network, the input layer includes temperature gradient values, fabric weight parameters and sericin content values, and the hidden layer is provided with a bidirectional recurrent unit to process time series data.

[0016] Through the above technical solution: the bidirectional loop unit effectively captures the temporal evolution law of the temperature field, and combines the physical property parameters of the fabric to enhance the model's generalization ability for silk of different materials.

[0017] Preferably, in step 4, the working pressure of the multi-channel solenoid valve group is 0.4-0.6 MPa, the flow deviation of each channel is controlled within ±3%, and closed-loop calibration is achieved through a mass flow meter.

[0018] Through the above technical solution: the mass flow meter calibrates the flow output in real time, suppresses the actuator drift error, and ensures the accurate implementation of the gradient temperature control instruction.

[0019] Preferably, in step six, the degumming degree is detected by using a near-infrared spectroscopy analysis module, and a mapping relationship between the sericin characteristic peak area ratio and the degumming degree is established at wavelengths of 610 nm and 850 nm.

[0020] Through the above technical solution: dual-wavelength spectral analysis is used to establish a quantitative model for sericin residue, which can achieve non-destructive and rapid detection of degumming degree and avoid sampling that damages the integrity of the fabric.

[0021] In a second aspect, the present invention provides the following technical solution: a precise temperature-controlled degumming system for mulberry silk fabrics, the system comprising: a hybrid sensing module, an intelligent control unit, a gradient actuator, an online detection module, and a human-computer interaction terminal;

[0022] The hybrid sensing module includes an infrared thermal imaging sensor array and a contact thermocouple, and is used to realize holographic perception and dynamic tracking of the fabric surface temperature field;

[0023] The intelligent control unit has a built-in three-dimensional temperature field prediction unit and an adaptive compensation unit, and the intelligent control unit performs data-driven dynamic decision-making and process parameter optimization;

[0024] The gradient actuator is composed of a multi-channel electromagnetic valve group, a mass flow meter and a metering pump. The gradient actuator is used to achieve precise temperature control and precise medium delivery in different zones.

[0025] The online detection module integrates a near-infrared spectrometer and a pH sensor, and is used to complete closed-loop detection of degumming quality and real-time monitoring of process status;

[0026] The human-computer interaction terminal is provided with a process parameter input interface and a three-dimensional thermal map display unit, and is used to provide process parameter management and system status visualization.

[0027] Through the above technical solution: multimodal sensors work together to build a three-dimensional perception network of the fabric temperature field, providing a high-confidence data source for intelligent decision-making. The algorithm engine analyzes multi-source data in real time to generate the optimal control strategy, breaking through the limitations of the traditional PLC system's rigid logic. The modular execution unit realizes the precise coordinated delivery of hot air and alkali solution to meet the dynamic execution requirements of complex process curves. Optical and electrochemical detection technologies complement each other to build a two-dimensional quality-process monitoring system, which provides early warning of abnormal working conditions. The three-dimensional visualization interface intuitively presents the process progress, lowers the operating threshold, and supports rapid iterative optimization of process parameters.

[0028] Preferably, the hybrid sensing module and the intelligent control unit communicate using industrial Ethernet, and the data packet encapsulation format includes a timestamp field and a check code field.

[0029] Through the above technical solutions: high-bandwidth and low-latency transmission ensures real-time interaction of massive sensor data, and timestamp and verification mechanisms ensure data integrity.

[0030] Preferably, the solenoid valve group of the gradient actuator adopts a valve core guide surface that is electrolytically polished, with a surface roughness of Ra ≤ 0.4 μm, and the inner wall of the valve body flow channel is plated with a chromium nitride coating with a coating thickness of 8-12 μm;

[0031] A double-layer sealing structure is provided between the valve core and the valve seat, wherein the inner layer is a polytetrafluoroethylene dynamic sealing ring and the outer layer is a metal bellows static sealing assembly, wherein the bellows is connected to the valve stem by a laser welding process.

[0032] Through the above technical solution: surface modification and composite sealing design work together to maintain execution accuracy in highly corrosive environments and extend the service life of key components.

[0033] In the third aspect, the invention provides the following technical solution: a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor; when the processor executes the computer program, the above-mentioned precise temperature-controlled degumming method for mulberry silk fabrics is implemented.

[0034] In a fourth aspect, the present invention provides the following technical solution: a readable storage medium having a computer program stored thereon, which implements the above-mentioned precise temperature-controlled degumming method for mulberry silk fabrics when executed by a processor.

[0035] The present invention has the following beneficial effects:

[0036] 1. This invention utilizes multimodal temperature data fusion based on a hybrid sensor network, combined with a deep learning algorithm to construct a dynamic temperature field model. This allows real-time analysis of the degumming reaction characteristics of each fabric region, divides the temperature control area into gradient zones, and generates customized temperature curves. Through the coordinated control of multi-channel actuators, this effectively eliminates the uneven temperature distribution problem encountered in traditional processes, significantly improving the uniformity of heating on the fabric surface. This achieves selective removal of sericin, prevents fiber damage, and ensures a highly consistent degumming degree, meeting the stringent material integrity requirements of high-end silk products.

[0037] 2. The present invention adopts an innovative double-layer dynamic sealing structure combined with a precise surface treatment process to form a multiple protective barrier under the harsh working conditions of strong alkali and high temperature, effectively blocking the penetration of media and crystallization adhesion. Through the synergistic effect of the anti-thermal deformation connection design and the intelligent compensation mechanism, the sealing reliability of the actuator during the thermal cycle is ensured, thereby significantly extending the service life of key components, greatly reducing the risk of process interruption due to equipment failure, and providing a solid hardware guarantee for continuous production.

[0038] 3. In the present invention, by building a deep coupling between a real-time quality monitoring network and an intelligent decision-making system, and through cross-validation of optical detection technology and chemical sensing data, the degumming process is dynamically tracked and a self-correction mechanism for process parameters is established. By utilizing a feedforward and feedback composite control strategy, the coordinated adjustment of multiple variables such as temperature and concentration is achieved, thereby breaking through the limitations of traditional open-loop control, automatically maintaining the optimal process state under complex working conditions, significantly improving production efficiency and product qualification rate, and reducing raw material consumption and energy waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a flow chart of the method for precise temperature-controlled degumming of mulberry silk fabrics proposed by the present invention;

[0040] Figure 2 This is a system architecture diagram of the precise temperature-controlled degumming system for mulberry silk fabrics proposed in the present invention;

[0041] Figure 3 This is a diagram of the hybrid sensing module architecture of the precise temperature-controlled degumming system for mulberry silk fabrics proposed in the present invention;

[0042] Figure 4 This is a diagram of the intelligent control unit architecture of the precise temperature-controlled degumming system for mulberry silk fabrics proposed in the present invention;

[0043] Figure 5 This is a diagram of the gradient actuator architecture of the precise temperature-controlled degumming system for mulberry silk fabrics proposed in the present invention;

[0044] Figure 6 This is a diagram of the online detection module architecture of the precise temperature-controlled degumming system for mulberry silk fabrics proposed by the present invention;

[0045] Figure 7 This is a diagram of the human-computer interaction terminal architecture of the precise temperature-controlled degumming system for mulberry silk fabrics proposed in the present invention. DETAILED DESCRIPTION

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0047] Example 1

[0048] Reference Figure 1 In a first embodiment of the present invention, the present invention provides a method for accurately controlling the temperature of degumming silk fabrics, comprising the following steps:

[0049] Step 1: Collect silk fabric surface temperature data through distributed temperature sensors, generate a temperature distribution thermogram and output it to the central controller;

[0050] Step 2: Based on the temperature distribution thermodynamic map of step 1, a three-dimensional temperature field prediction model is constructed to calculate the difference in activation energy of colloid dissolution in each region;

[0051] Step 3: Dynamically divide the gradient temperature control area according to the activation energy difference value in step 2, and generate the target temperature curve and time parameters for each area;

[0052] The region partitioning algorithm uses the Voronoi diagram space segmentation technology, with an activation energy difference value ≥15 kJ / mol as the boundary condition. The temperature curve generation includes: a heating rate of 2-5 °C / min, a platform temperature of 85-95 °C, a holding time of 3-15 min, and a three-stage control logic;

[0053] Step 4: Execute the target temperature curve of step 3 through the multi-channel solenoid valve group, adjust the hot air flow of the corresponding area in real time, and simultaneously collect the pH value of the solution as a feedback parameter;

[0054] Step 5: Compare the pH value obtained in step 4 with a preset threshold value. When the deviation exceeds ±0.3, the adaptive compensation algorithm in the adaptive compensation unit is triggered to generate a corrected alkali solution concentration control instruction.

[0055] Step 6: Based on the correction instruction in step 5, control the metering pump to output the compensation flow, and update the temperature-time control curve until the degumming degree reaches 89%±2%.

[0056] In step 1, a hybrid sensing network is formed by using an infrared thermal imaging sensor array and a contact thermocouple, wherein the sampling frequency of the infrared sensor is 5 Hz ± 0.5 Hz, and the thermocouples are set at the intersection nodes of the warp and weft lines of the fabric.

[0057] A 16×16 array of infrared sensors covers a 1.2m fabric width, with each sensor unit corresponding to 7.5cm2 The thermocouple in the monitoring area uses a K-type armored probe with an implantation depth of 1 / 3 of the fabric thickness.

[0058] In step 2, the prediction model uses an improved LSTM neural network. The input layer contains temperature gradient values, fabric weight parameters, and sericin content values, and the hidden layer sets a bidirectional recurrent unit to process time series data.

[0059] The model input dimension is [time step × spatial coordinate × feature parameter], where the feature parameters include:

[0060] Temperature gradient value (ΔT / Δt, ΔT / Δx), fabric weight (50-120g / m 2 Quantitative classification), sericin content, initial value obtained by near infrared pre-scanning.

[0061] In step 4, the operating pressure of the multi-channel solenoid valve group is 0.4-0.6MPa, the flow deviation of each channel is controlled within ±3%, and closed-loop calibration is achieved through a mass flow meter;

[0062] The solenoid valve group adopts PWM modulation control, with a duty cycle resolution of 0.1% and a response time of <200ms. The pH value acquisition module is equipped with three redundant sensors, a sampling period of 500ms, and abnormal data is automatically eliminated.

[0063] In step 6, the degumming degree is detected using a near-infrared spectroscopy analysis module, and a mapping relationship between the characteristic peak area ratio of sericin and the degumming degree is established at wavelengths of 610 nm and 850 nm;

[0064] The spectrum was scanned using a fiber optic probe array, with a scanning interval of 2 cm and an integration time of 40 ms. The characteristic peak area was calculated using a Gaussian fitting algorithm with a fitting degree of R 2 >0.995.

[0065] Example 2:

[0066] Reference Figure 2-Figure 7 In a second embodiment of the present invention, the present invention provides a precise temperature-controlled degumming system for mulberry silk fabrics, the system comprising: a hybrid sensing module, an intelligent control unit, a gradient actuator, an online detection module, and a human-computer interaction terminal;

[0067] The hybrid sensing module includes an infrared thermal imaging sensor array and a contact thermocouple. The hybrid sensing module is used to achieve holographic perception and dynamic tracking of the fabric surface temperature field.

[0068] The infrared sensor has a wavelength range of 8-14μm, a temperature resolution of 0.1°C, a spatial registration error of <0.5mm, and thermocouple signals are converted using a 24-bit ADC with a sampling rate of 1kHz and a digital filter cutoff frequency of 50Hz.

[0069] The intelligent control unit has a built-in three-dimensional temperature field prediction unit and an adaptive compensation unit. The intelligent control unit performs data-driven dynamic decision-making and process parameter optimization.

[0070] The hardware platform uses a heterogeneous FPGA and ARM architecture. The FPGA implements sensor data preprocessing (200MHz clock), and the ARM runs the Linux real-time kernel. The algorithm iteration cycle is 100ms, and the memory bandwidth is ≥5GB / s.

[0071] The gradient actuator is composed of a multi-channel solenoid valve group, a mass flow meter and a metering pump. The gradient actuator is used to achieve precise temperature control and precise medium distribution in different zones.

[0072] The online detection module integrates a near-infrared spectrometer and a pH sensor. It is used to complete closed-loop detection of degumming quality and real-time monitoring of process status.

[0073] The spectrometer grating has 1200 lines / mm, wavelength repeatability is ±0.2nm, the pH electrode uses an annular gel electrolyte, response time T90 is less than 15s, and the temperature compensation range is 0-120℃.

[0074] The human-computer interaction terminal is equipped with a process parameter input interface and a three-dimensional thermal map display unit. The human-computer interaction terminal is used to provide process parameter management and system status visualization.

[0075] The hybrid sensing module and the intelligent control unit communicate using industrial Ethernet, and the data packet encapsulation format includes a timestamp field and a check code field.

[0076] The solenoid valve group of the gradient actuator adopts the valve core guide surface that is electrolytically polished, with a surface roughness of Ra ≤ 0.4μm, and the inner wall of the valve body flow channel is plated with chromium nitride coating with a coating thickness of 8-12μm;

[0077] The flow coefficient of the solenoid valve group flow channel is Cv = 0.6-5.0. The metering pump is driven by piezoelectric ceramics, with a minimum step size of 0.01μL and a linearity error of <0.05%. The electrolytic polishing solution formula is 65% phosphoric acid, 20% sulfuric acid and 15% glycerol, with a current density of 30A / dm 2 The chromium nitride coating deposition process is arc ion plating, the target Cr purity is 99.95%, and the N2 partial pressure is 0.8Pa;

[0078] A double-layer sealing structure is set between the valve core and the valve seat. The inner layer is a polytetrafluoroethylene dynamic sealing ring, and the outer layer is a metal bellows static sealing component. The bellows is connected to the valve stem by laser welding.

[0079] The wall thickness of the bellows is 0.15mm, the peak spacing is 2.5mm, and the axial stiffness is ≥50N / mm.

[0080] Example 3

[0081] The third embodiment of the present invention is based on the same inventive concept. The present invention proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the precise temperature-controlled degumming method for mulberry silk fabrics of the above embodiment.

[0082] Example 4

[0083] The fourth embodiment of the present invention is based on the same inventive concept. The present invention proposes a computer device, the terminal including: a processor and a memory; the processor and the memory communicate with each other; the memory is used to store instructions; the processor is used to execute the instructions in the memory to execute the precise temperature-controlled degumming method for mulberry silk fabrics of the above embodiment.

[0084] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0085] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for accurately controlling the temperature of degumming silk fabrics, characterized in that: The following steps are involved: Step 1: Collect silk fabric surface temperature data through distributed temperature sensors, generate a temperature distribution thermogram and output it to the central controller; Step 2: Based on the temperature distribution thermodynamic map of step 1, a three-dimensional temperature field prediction model is constructed to calculate the difference in activation energy of colloid dissolution in each region; Step 3: Dynamically divide the gradient temperature control area according to the activation energy difference value in step 2, and generate the target temperature curve and time parameters for each area; Step 4: Execute the target temperature curve of step 3 through the multi-channel solenoid valve group, adjust the hot air flow of the corresponding area in real time, and simultaneously collect the pH value of the solution as a feedback parameter; Step 5: Compare the pH value obtained in step 4 with a preset threshold value. When the deviation exceeds ±0.3, the adaptive compensation algorithm in the adaptive compensation unit is triggered to generate a corrected alkali solution concentration control instruction. Step 6: Based on the correction instruction in step 5, control the metering pump to output the compensation flow, and update the temperature-time control curve until the degumming degree reaches 89%±2%.

2. The precise temperature-controlled degumming method for mulberry silk fabric according to claim 1, characterized in that: In the step 1, an infrared thermal imaging sensor array and a contact thermocouple are used to form a hybrid sensing network, wherein the sampling frequency of the infrared sensor is 5 Hz ± 0.5 Hz, and the thermocouples are set at the intersection nodes of the warp and weft lines of the fabric.

3. The precise temperature-controlled degumming method for mulberry silk fabric according to claim 1, characterized in that: In step 2, the prediction model uses an improved LSTM neural network, the input layer includes temperature gradient values, fabric weight parameters and sericin content values, and the hidden layer is set with a bidirectional recurrent unit to process time series data.

4. The precise temperature-controlled degumming method for mulberry silk fabric according to claim 1, characterized in that: In step 4, the working pressure of the multi-channel solenoid valve group is 0.4-0.6 MPa, the flow deviation of each channel is controlled within ±3%, and closed-loop calibration is achieved through a mass flow meter.

5. The precise temperature-controlled degumming method for mulberry silk fabric according to claim 1, characterized in that: In the step six, the degumming degree is detected by using a near-infrared spectroscopy analysis module, and a mapping relationship between the characteristic peak area ratio of sericin and the degumming degree is established at wavelengths of 610 nm and 850 nm.

6. Precision temperature control degumming system for silk fabrics, characterized by: The precise temperature-controlled degumming method for mulberry silk fabrics according to any one of claims 1 to 5, wherein the system comprises: a hybrid sensing module, an intelligent control unit, a gradient actuator, an online detection module, and a human-computer interaction terminal; The hybrid sensing module includes an infrared thermal imaging sensor array and a contact thermocouple, and is used to realize holographic perception and dynamic tracking of the fabric surface temperature field; The intelligent control unit has a built-in three-dimensional temperature field prediction unit and an adaptive compensation unit, and the intelligent control unit performs data-driven dynamic decision-making and process parameter optimization; The gradient actuator is composed of a multi-channel electromagnetic valve group, a mass flow meter and a metering pump. The gradient actuator is used to achieve precise temperature control and precise medium delivery in different zones. The online detection module integrates a near-infrared spectrometer and a pH sensor, and is used to complete closed-loop detection of degumming quality and real-time monitoring of process status; The human-computer interaction terminal is provided with a process parameter input interface and a three-dimensional thermal map display unit, and is used to provide process parameter management and system status visualization.

7. The precise temperature-controlled degumming system for mulberry silk fabrics according to claim 6, characterized in that: The hybrid sensing module and the intelligent control unit communicate using industrial Ethernet, and the data packet encapsulation format includes a timestamp field and a check code field.

8. The precise temperature-controlled degumming system for mulberry silk fabrics according to claim 6, characterized in that: The solenoid valve group of the gradient actuator adopts a valve core guide surface that is electrolytically polished, with a surface roughness of Ra ≤ 0.4 μm, and the inner wall of the valve body flow channel is plated with a chromium nitride coating with a coating thickness of 8-12 μm; A double-layer sealing structure is provided between the valve core and the valve seat, wherein the inner layer is a polytetrafluoroethylene dynamic sealing ring and the outer layer is a metal bellows static sealing assembly, wherein the bellows is connected to the valve stem by a laser welding process.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the precise temperature-controlled degumming method for mulberry silk fabrics according to any one of claims 1 to 5 is implemented.

10. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by the processor, the precise temperature-controlled degumming method for mulberry silk fabrics according to any one of claims 1 to 5 is implemented.

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