Automatic high-precision collaborative degumming system for mulberry silk fabric

Abstract

The invention relates to the technical field of textile engineering, and discloses an automatic high-precision collaborative degumming system for mulberry silk fabrics, which comprises the following modules: an automatic control module for monitoring and precisely controlling the degumming process in real time; the collaborative operation module is used for coordinating work between each device and the station and is responsible for collaborative operation of multiple devices; the data acquisition and sensing module is used for acquiring and transmitting various physical and chemical data in the mulberry silk fabric degumming process; the data analysis and optimization module is used for optimizing a degumming process in real time through a big data technology and a machine learning algorithm; the intelligent feedback and early warning module is used for monitoring the running state in real time and giving out early warning and automatically adjusting when the running state is abnormal; and the user management and interface module is used for interaction of operators. According to the method, big data analysis and a machine learning algorithm are combined, the degumming parameters can be automatically adjusted according to different characteristics of the mulberry silk fabric, the temperature and humidity, the pH value and the degumming time are optimized, and the degumming process is more accurate.

Description

Technical Field

[0001] The present invention relates to the technical field of textile engineering, and particularly to an automated high-precision collaborative degumming system for mulberry silk fabrics. Background Art

[0002] As a high-end textile material, mulberry silk fabrics are widely favored by the market for their soft luster, delicate handfeel, and breathable comfort. However, in the processing of mulberry silk, the degumming process (i.e., removing sericin to obtain pure silk fibers) is a key link affecting the quality of the final product. Traditional degumming methods mainly rely on techniques such as alkali boiling, enzymatic hydrolysis, and high-temperature high-pressure hydrolysis to dissolve sericin chemically or biologically.

[0003] Currently, there are still many drawbacks in the degumming process in the industry. The process parameter control is unstable. Traditional degumming mainly relies on the experience of operators to set temperature, pH value, and time, which is greatly affected by human factors and it is difficult to ensure the quality consistency of different batches of products. Summary of the Invention

[0004] To make up for the above deficiencies, the present invention provides an automated high-precision collaborative degumming system for mulberry silk fabrics, aiming to improve the problem that traditional degumming mainly relies on the experience of operators to set temperature, pH value, and time and is greatly affected by human factors.

[0005] In a first aspect, the present invention provides the following technical solution. The automated high-precision collaborative degumming system for mulberry silk fabrics includes the following modules:

[0006] An automated control module for real-time monitoring and precise control of the degumming process;

[0007] A collaborative operation module for coordinating the work between various devices and workstations and responsible for multi-device collaborative operation;

[0008] A data acquisition and sensing module for collecting various physical and chemical data during the degumming process of mulberry silk fabrics and transmitting them;

[0009] A data analysis and optimization module for real-time optimizing the degumming process through big data technology and machine learning algorithms;

[0010] An intelligent feedback and warning module for real-time monitoring the operating state, giving warnings and automatically adjusting in case of abnormalities;

[0011] A user management and interface module for the interaction of operators and providing management and control functions for production data.

[0012] Preferably, the automated control module includes:

[0013] The real-time monitoring unit uses temperature and humidity sensors, pH sensors, and flow sensors to monitor the temperature, humidity, and degumming liquid concentration parameters during the degumming process of mulberry silk fabrics in real time, and transmits the data to the central control unit through wireless communication;

[0014] The process adjustment unit uses electric valves, liquid pumps, and temperature control devices to automatically adjust the degumming liquid concentration, flow rate, temperature, and humidity according to the real-time monitoring data;

[0015] The central control unit, based on the PLC controller, adjusts the actuator through logical control and data calculation to coordinate the various parameters during the degumming process.

[0016] Preferably, the collaborative operation module includes:

[0017] The equipment communication unit uses Wi-Fi, Bluetooth, or ZigBee wireless communication technology to transmit real-time data between different workstations and equipment, and is responsible for information sharing and collaborative operation;

[0018] The synchronization scheduling unit automatically adjusts the working order of each device according to the real-time data through the scheduling controller and job scheduling algorithm, and is responsible for the synchronous operation of the equipment to avoid stagnation during the production process;

[0019] The multi-task execution unit, based on multi-thread control technology, supports the simultaneous operation of multiple workstations, optimizes the working efficiency of each device using the load balancing system, and reduces the waiting time between devices.

[0020] Preferably, the data acquisition and sensing module includes:

[0021] The sensor unit uses various sensing devices such as temperature and humidity sensors, flow sensors, and pH sensors to collect the environmental parameters of mulberry silk fabrics and the physical and chemical properties of the degumming liquid;

[0022] The data transmission unit transmits the data collected by the sensors to the cloud platform or local data storage unit in real time through Wi-Fi, Ethernet, LoRa wireless or wired communication protocols;

[0023] The data synchronization and storage unit, based on distributed storage technology, ensures the integrity and consistency of data acquisition and stores it in real time for subsequent data processing and analysis.

[0024] Preferably, the data analysis and optimization module includes:

[0025] The data cleaning and preprocessing unit uses data cleaning algorithms to preprocess the collected sensor data to remove outliers and noise;

[0026] The process optimization and modeling unit uses regression analysis, decision tree, and neural network machine learning algorithms to build an optimization model for the degumming process based on historical and real-time data, and automatically adjusts the process parameters of degumming solution concentration, temperature, and humidity;

[0027] The adaptive learning and feedback unit automatically learns from historical and real-time data through deep learning technology and adaptively adjusts various parameters in the degumming process according to different environmental conditions.

[0028] Preferably, the intelligent feedback and warning module includes:

[0029] The status monitoring unit uses temperature and humidity sensors and liquid level sensors to monitor the status of various process parameters in real time. Once abnormal parameters are found, they are immediately transmitted to the central control unit;

[0030] The warning and alarm unit, based on data analysis and fault diagnosis algorithms, automatically issues a warning signal when the process parameters of temperature, humidity, and degumming solution concentration are detected to exceed the set range;

[0031] The automatic adjustment and repair unit combines a PLC controller and a redundant controller. When a fault occurs, it can automatically adjust parameters or start standby equipment to avoid production interruption.

[0032] Preferably, the user management and interface module includes:

[0033] The user interface unit provides a graphical operation interface on a touch screen or PC, allowing operators to view real-time data, adjust process parameters, start or stop;

[0034] The permission management unit uses an authentication and permission allocation mechanism so that only authorized personnel can operate to ensure production safety;

[0035] The report and analysis unit combines a data visualization platform and statistical tools to automatically generate production reports and data analysis results for operators and managers to view, analyze, and make decisions.

[0036] In a second aspect, the present invention provides the following technical solution. An automated high-precision collaborative degumming method for mulberry silk fabrics includes the following steps:

[0037] S1. In the automated control stage, through the automated control module, temperature, humidity, and degumming solution concentration parameters of the mulberry silk fabric are monitored in real time using temperature and humidity sensors, pH sensors, and flow sensors, and the monitored data is transmitted to the central control unit. The central control unit calculates and adjusts the flow rate, concentration, temperature, and humidity of the degumming solution based on the PLC controller;

[0038] S2. During the collaborative operation stage, through the collaborative operation module, based on Wi-Fi, Bluetooth, or ZigBee wireless communication technology, the status data between each degumming workstation and equipment is transmitted in real time, and the scheduling controller adjusts the running order of each equipment according to the job scheduling algorithm for multi-equipment synchronous operation;

[0039] S3. During the data collection stage, through the data collection and sensing module, using temperature and humidity sensors, flow sensors, and pH sensor devices, the environmental parameters of the mulberry silk fabric and the physical and chemical properties of the degumming solution during the degumming process are collected, and the data is transmitted to the cloud platform in real time using wireless or wired communication protocols;

[0040] S4. During the data analysis and optimization stage, through the data analysis and optimization module, the collected data is preprocessed using data cleaning algorithms to remove outliers. Based on regression analysis, decision trees, and neural network machine learning methods, the degumming process parameters are optimized, an adaptive learning model is established, and the degumming solution concentration and temperature and humidity parameters are automatically adjusted according to historical data and real-time data;

[0041] S5. During the intelligent feedback and warning stage, through the intelligent feedback and warning module, the status monitoring unit continuously monitors various production parameters, and based on data analysis and fault diagnosis algorithms, it determines whether the temperature, humidity, and degumming solution concentration parameters exceed the set range. When the set threshold is exceeded, a warning signal is triggered, and the adjustment strategy is automatically executed;

[0042] S6. During the user management and interface interaction stage, through the user management and interface module, the operator uses a touch screen or a PC-side graphical interface to view real-time production data, adjust process parameters, and control user access rights based on the permission management mechanism, enabling different users to perform corresponding operations within their permissions.

[0043] In a third aspect, the present invention provides the following technical solution: a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements the above-mentioned automated high-precision collaborative degumming method for mulberry silk fabric.

[0044] In a fourth aspect, the present invention provides the following technical solution: a readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the above-mentioned automated high-precision collaborative degumming method for mulberry silk fabric.

[0045] The present invention has the following beneficial effects:

[0046] 1. In the present invention, by combining big data analysis and machine learning algorithms, it is possible to automatically adjust the degumming parameters according to the different characteristics of mulberry silk fabrics (fiber diameter, collagen content, etc.), optimize the temperature, humidity, pH value, and degumming time, making the degumming process more precise. Compared with the traditional method of setting parameters relying on experience, this system can effectively reduce the problems of over-degumming or incomplete degumming, enabling the softness, gloss, and strength of silk fabrics to maintain the best state, and improving product consistency and quality stability.

[0047] 2. In the present invention, the system is equipped with high-sensitivity temperature and humidity sensors, pH sensors, flow sensors, etc., to achieve real-time monitoring of process parameters such as degumming liquid concentration, temperature, and humidity throughout the process, and dynamically adjust the process parameters through PID algorithm + fuzzy control to keep them within the best range all the time. Traditional manual monitoring has lag and errors, while this system can achieve millisecond-level response, ensuring a highly automated production process, reducing human intervention, and improving production efficiency and stability.

[0048] 3. In the present invention, the system adopts industrial Internet of Things (IIoT) + multi-device collaborative control, supports multi-station parallel processing, and realizes low-latency data sharing and task scheduling optimization between different devices through wireless communication (Wi-Fi, ZigBee, MQTT), ensuring efficient collaboration among various processes and reducing production stagnation caused by equipment waiting. At the same time, the flow and circulation system of the degumming liquid have been optimized to reduce waste liquid generation and chemical reagent consumption, further improving production efficiency and environmental protection.

[0049] 4. In the present invention, edge computing + AI image recognition + time-series anomaly detection technology is adopted to realize real-time analysis of the operating state of equipment and automatically identify and warn of abnormal situations (such as too high temperature, abnormal pH value, insufficient liquid level, etc.). The system can automatically adjust parameters or switch to a backup plan after detecting an abnormality, reducing the failure rate and improving the stability of the production process. Compared with the traditional manual inspection method, this system can respond faster, reduce the risk of human misoperation, and improve overall production safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 is the overall architecture diagram of the automated high-precision collaborative degumming system for mulberry silk fabrics proposed by the present invention;

[0051] Figure 2 is the architecture diagram of the automated control module of the automated high-precision collaborative degumming system for mulberry silk fabrics proposed by the present invention;

[0052] Figure 3 is the architecture diagram of the collaborative operation module of the automated high-precision collaborative degumming system for mulberry silk fabrics proposed by the present invention;

[0053] Figure 4It is the architecture diagram of the data acquisition and sensing module of the automatic high-precision collaborative degumming system for mulberry silk fabrics proposed by the present invention;

[0054] Figure 5 It is the architecture diagram of the data analysis and optimization module of the automatic high-precision collaborative degumming system for mulberry silk fabrics proposed by the present invention;

[0055] Figure 6 It is the architecture diagram of the intelligent feedback and warning module of the automatic high-precision collaborative degumming system for mulberry silk fabrics proposed by the present invention;

[0056] Figure 7 It is the architecture diagram of the user management and interface module of the automatic high-precision collaborative degumming system for mulberry silk fabrics proposed by the present invention;

[0057] Figure 8 It is the flowchart of the automatic high-precision collaborative degumming method for mulberry silk fabrics proposed by the present invention. Detailed implementation manners

[0058] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0059] Embodiment 1

[0060] Refer to Figures 1 - 7 , in the first embodiment of the present invention, the present invention provides an automatic high-precision collaborative degumming system for mulberry silk fabrics, including the following modules:

[0061] An automatic control module for real-time monitoring and precise control of the degumming process;

[0062] A collaborative operation module for coordinating the work between various devices and workstations and responsible for multi-device collaborative operation;

[0063] A data acquisition and sensing module for collecting various physical and chemical data during the degumming process of mulberry silk fabrics and transmitting them;

[0064] A data analysis and optimization module for real-time optimizing the degumming process through big data technology and machine learning algorithms;

[0065] An intelligent feedback and warning module for real-time monitoring the operating state, giving a warning and automatically adjusting in case of abnormality;

[0066] A user management and interface module for the interaction of operators and providing the management and control functions of production data.

[0067] Specifically, by combining big data analysis, machine learning algorithms, and high-precision sensing technologies, this system has achieved intelligent optimization of the degumming process, ensuring that parameters such as temperature, humidity, pH value, and liquid concentration are always maintained within the optimal range, thereby significantly improving the consistency and quality of degumming. Through real-time monitoring and closed-loop control, the system reduces human intervention, ensures precise execution of each link, reduces the occurrence of over-degumming or incomplete degumming, and optimizes the softness and strength of the fibers. In addition, by adopting industrial Internet of Things and collaborative operations, efficient data sharing and task scheduling are achieved among different devices, effectively improving production efficiency while reducing resource waste. Overall, this system can intelligently and precisely control the degumming process, greatly improving product quality, reducing production cycles and resource consumption, and promoting the automation, intelligence, and high efficiency of the entire production process.

[0068] The automatic control module includes:

[0069] A real-time monitoring unit that uses temperature and humidity sensors, pH sensors, and flow sensors to monitor the temperature, humidity, and degumming liquid concentration parameters during the degumming process of mulberry silk fabrics in real time, and transmits the data to the central control unit through wireless communication;

[0070] A process adjustment unit that uses electric valves, liquid pumps, and temperature control devices to automatically adjust the degumming liquid concentration, flow rate, temperature, and humidity according to the real-time monitoring data;

[0071] A central control unit that, based on a PLC controller, adjusts the actuator through logical control and data calculation to coordinate the various parameters during the degumming process.

[0072] Specifically, the integration of sensors and actuators

[0073] The core of this module lies in precisely controlling the various parameters of the degumming process, ensuring that key variables such as temperature, humidity, and pH value are maintained within the optimal range, reducing damage to silk fibers, and improving the degumming effect.

[0074] Temperature and humidity control

[0075] Industrial-grade temperature and humidity sensors are used to measure the real-time temperature of the degumming liquid, with an error not exceeding ±0.1°C. Humidity control is coordinated by an ultrasonic humidifier and an infrared heater to ensure uniform evaporation of moisture and avoid local overheating or dehydration and breakage of the fibers.

[0076] pH value adjustment

[0077] An online pH sensor is used to detect the acidity and alkalinity of the degumming liquid, combined with an automatic liquid addition system (an automatic acid / alkali solution titration device), to ensure that the pH value is stably maintained between 7 and 9, avoiding the situation of over-hydrolysis or incomplete degumming.

[0078] Liquid Flow and Mixing Control

[0079] A variable-frequency peristaltic pump + magnetic stirrer is adopted to ensure that the degumming liquid is transported to the degumming station at the optimal flow rate on the premise that the stirring uniformity > 95%, improving the uniformity and efficiency of the degumming reaction.

[0080] PID Intelligent Control Algorithm

[0081] The control system is based on the PID (Proportional-Integral-Derivative) control algorithm and combines fuzzy control to achieve precise adjustment of various process parameters:

[0082] After setting the target pH value and temperature and humidity range, the system calculates the error in real time and dynamically adjusts the liquid addition speed and heating power.

[0083] Adaptive PID control is adopted to automatically optimize and adjust parameters according to historical data, improving the response speed and reducing overshoot.

[0084] Beneficial Effects

[0085] High-precision sensing + intelligent control reduce human intervention and improve the consistency of the degumming process.

[0086] Real-time temperature control + dynamic pH adjustment optimize the degumming environment, reduce the silk breakage rate, and improve fiber strength.

[0087] Intelligent algorithm optimization reduces energy consumption, reduces the usage amount of chemicals, and enhances the environmental friendliness of the process.

[0088] The collaborative operation module includes:

[0089] The inter-device communication unit uses Wi-Fi, Bluetooth, or ZigBee wireless communication technology to transmit real-time data between different workstations and devices, responsible for information sharing and collaborative operation;

[0090] The synchronization scheduling unit automatically adjusts the working sequence of each device according to real-time data through the scheduling controller and job scheduling algorithm, responsible for device synchronous operation to avoid stagnation during the production process;

[0091] The multi-task execution unit, based on multi-thread control technology, supports simultaneous operation of multiple workstations, optimizes the working efficiency of each device using the load balancing system, and reduces the waiting time between devices.

[0092] Specifically, the collaborative operation module

[0093] Inter-device Communication Protocol

[0094] The industrial Internet of Things (IIoT) architecture is adopted between devices, and protocols such as ModbusTCP / IP, OPCUA, and MQTT are used for data transmission to ensure low-latency and high-reliability communication between different devices.

[0095] Task scheduling algorithm

[0096] Adopt a task scheduling algorithm based on dynamic priorities, and different tasks are scheduled in real time according to process requirements, equipment status, and resource occupancy rate. For example:

[0097] When a fault occurs at a certain station, the system automatically reallocates tasks to ensure that the overall degumming progress is not affected.

[0098] Intelligently adjust the task execution order according to the equipment load situation, reduce equipment idle time, and improve work efficiency.

[0099] Multi-station collaboration

[0100] The system supports the pipeline operation + parallel processing mode:

[0101] Use robotic arms for automatic transfer to improve the material flow efficiency.

[0102] Parallel processing of multiple degumming processes reduces the overall production time.

[0103] Beneficial effects

[0104] The low-latency communication protocol ensures real-time synchronization of device information and prevents incorrect parameter adjustment caused by data lag.

[0105] Intelligent task scheduling optimizes equipment utilization, reduces waiting time, and improves production efficiency.

[0106] Parallel process design improves the degumming processing speed, reduces the residence time of silk in the solution, and reduces the fiber damage rate.

[0107] The data acquisition and sensing module includes:

[0108] The sensor unit uses a variety of sensing devices such as temperature and humidity sensors, flow sensors, and pH sensors to collect the environmental parameters of silk fabrics and the physical and chemical properties of degumming solutions;

[0109] The data transmission unit transmits the data collected by the sensors to the cloud platform or the local data storage unit in real time through Wi-Fi, Ethernet, LoRa wireless or wired communication protocols;

[0110] The data synchronization and storage unit, based on distributed storage technology, ensures the integrity and consistency of data acquisition and stores it in real time for subsequent data processing and analysis.

[0111] Specifically, the data acquisition and sensing module

[0112] Sensor layout strategy

[0113] Adopt multi-point layout to avoid misjudgment caused by single-point data error.

[0114] Install dual-sensor redundancy design at key positions to ensure data stability.

[0115] 5G + Edge computing

[0116] Sensor data is wirelessly transmitted to the edge computing device via 5G to achieve local rapid analysis and improve the response speed.

[0117] Key data is then uploaded to the cloud for in-depth learning analysis.

[0118] Beneficial effects

[0119] Multi-point redundant acquisition improves data reliability and prevents misjudgment caused by single-point sensor failure.

[0120] The combination of edge computing and cloud computing realizes local rapid response + remote optimization control, improving the intelligent level of the system.

[0121] The data analysis and optimization module includes:

[0122] The data cleaning and preprocessing unit uses data cleaning algorithms to preprocess the collected sensor data, removing outliers and noise;

[0123] The process optimization and modeling unit uses regression analysis, decision tree, and neural network machine learning algorithms to build an optimization model for the degumming process based on historical data and real-time data, and automatically adjusts process parameters such as degumming solution concentration, temperature, and humidity;

[0124] The adaptive learning and feedback unit automatically learns from historical data and real-time data through deep learning technology and adaptively adjusts various parameters during the degumming process according to different environmental conditions.

[0125] Specifically, the data analysis and optimization module

[0126] Big data process optimization

[0127] Adopt the adaptive neural network algorithm (ANN) + genetic algorithm (GA) to optimize the degumming process parameters based on historical data:

[0128] The training data includes the characteristics of different batches of mulberry silk (fiber diameter, sericin content, etc.) to form an adaptive process curve.

[0129] The genetic algorithm automatically selects the optimal degumming parameters, improving degumming uniformity and reducing the usage of chemicals.

[0130] AI prediction and real-time adjustment

[0131] The random forest algorithm is used to perform real-time analysis on production data, predict the optimal degumming time, and avoid overprocessing.

[0132] According to the current data trend, the concentration and flow rate of the degumming liquid are dynamically adjusted to improve production stability.

[0133] Beneficial effects

[0134] AI process optimization reduces resource waste and improves degumming consistency.

[0135] Real-time prediction and adjustment reduce human intervention, reduce process fluctuations, and improve stability.

[0136] The intelligent feedback and warning module includes:

[0137] The status monitoring unit uses temperature and humidity sensors and liquid level sensor devices to monitor the status of various process parameters in real time. Once abnormal parameters are found, they are immediately transmitted to the central control unit;

[0138] The warning and alarm unit, based on data analysis and fault diagnosis algorithms, automatically issues a warning signal when process parameters such as temperature, humidity, and degumming liquid concentration exceed the set range;

[0139] The automatic adjustment and repair unit combines a PLC controller and a redundant controller. When a fault occurs, it can automatically adjust parameters or start standby equipment to avoid production interruption.

[0140] Specifically, the intelligent feedback and warning module

[0141] Fault detection and warning

[0142] Edge AI + industrial cameras are used to monitor the state of silk in real time and detect abnormal degumming conditions (such as fiber breakage and impurity residue).

[0143] When an abnormality occurs, the system automatically triggers a warning and pushes a processing solution to the operation interface.

[0144] Intelligent repair mechanism

[0145] Redundant control system: When the main PLC fails, the standby PLC automatically takes over the control to ensure uninterrupted production.

[0146] Dynamic process adjustment: After a fault occurs, the system automatically reduces the concentration of the degumming liquid, slows down the chemical reaction, and prevents silk damage.

[0147] Beneficial effects

[0148] Intelligent detection improves the accuracy of abnormality identification and reduces the workload of manual inspections.

[0149] The automatic repair mechanism reduces the impact of equipment failures and improves system stability.

[0150] The user management and interface module includes:

[0151] A user interface unit that provides a graphical operation interface for the touch screen or PC, allowing the operator to view real-time data, adjust process parameters, start or stop;

[0152] A permission management unit that adopts an authentication and permission allocation mechanism, enabling only authorized personnel to operate and ensuring production safety;

[0153] A report and analysis unit that combines a data visualization platform and statistical tools to automatically generate production reports and data analysis results for operators and managers to view, analyze, and make decisions.

[0154] Specifically, the user management and interface module

[0155] An adaptive interface

[0156] Can be accessed from both the PC side and the mobile side (tablet / mobile phone), facilitating managers to view the production status at any time.

[0157] The interface supports data visualization and can display the temperature and humidity curve, the change trend of the degumming liquid concentration, and the production efficiency report in real time.

[0158] Voice + gesture interaction

[0159] Combined with voice recognition + gesture recognition, parameters can be adjusted through voice commands or gesture operations, improving the operation convenience.

[0160] Beneficial effects

[0161] The intelligent interaction design enhances the user experience and reduces the training cost.

[0162] The real-time data visualization facilitates managers to make quick decisions and improves the production management efficiency.

[0163] Example 2:

[0164] Refer to Figure 8 , in the second embodiment of the present invention, the present invention provides an automated high-precision collaborative degumming method for mulberry silk fabrics, which is characterized in that it is used for the automated high-precision collaborative degumming system of mulberry silk fabrics according to any one of claims 1-7, and includes the following steps:

[0165] S1. In the automated control stage, through the automated control module, the temperature, humidity, and degumming liquid concentration parameters of the mulberry silk fabric are monitored in real time by using a temperature and humidity sensor, a pH sensor, and a flow sensor, and the monitored data is transmitted to the central control unit. The central control unit calculates and adjusts the flow rate, concentration, temperature, and humidity of the degumming liquid based on the PLC controller;

[0166] S2. During the collaborative operation stage, through the collaborative operation module, based on Wi-Fi, Bluetooth or ZigBee wireless communication technology, the status data between each degumming station and equipment is transmitted in real time, and the scheduling controller adjusts the operation sequence of each equipment according to the job scheduling algorithm for multi-equipment synchronous operation;

[0167] S3. During the data collection stage, through the data collection and sensing module, using temperature and humidity sensors, flow sensors and pH sensor devices, the environmental parameters of the mulberry silk fabric and the physical and chemical properties of the degumming solution during the degumming process are collected, and the data is transmitted to the cloud platform in real time using wireless or wired communication protocols;

[0168] S4. During the data analysis and optimization stage, through the data analysis and optimization module, the collected data is preprocessed using data cleaning algorithms to remove outliers. Based on regression analysis, decision trees and neural network machine learning methods, the degumming process parameters are optimized, an adaptive learning model is established, and the degumming solution concentration and temperature and humidity parameters are automatically adjusted according to historical data and real-time data;

[0169] S5. During the intelligent feedback and warning stage, through the intelligent feedback and warning module, the status monitoring unit continuously monitors various production parameters, and based on data analysis and fault diagnosis algorithms, it judges whether the temperature, humidity and degumming solution concentration parameters exceed the set range. When the set threshold is exceeded, a warning signal is triggered and the adjustment strategy is automatically executed;

[0170] S6. During the user management and interface interaction stage, through the user management and interface module, the operator uses a touch screen or a PC-side graphical interface to view real-time production data, adjust process parameters, and control user access rights based on the permission management mechanism, enabling different users to perform corresponding operations within their permissions.

[0171] Embodiment III

[0172] In the third embodiment of the present invention, based on the same inventive concept, a computer-readable storage medium is proposed by the present invention. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the automated high-precision collaborative degumming method for mulberry silk fabric in the above embodiment are implemented.

[0173] Embodiment IV

[0174] In the fourth embodiment of the present invention, based on the same inventive concept, a computer device is proposed by the present invention. The terminal includes: a processor, 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 automated high-precision collaborative degumming method for mulberry silk fabric in the above embodiment.

[0175] It should be understood that each part of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one of the following techniques known in the art or a combination thereof can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0176] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. Automated high-precision collaborative degumming system for silk fabrics, characterized in that: Includes the following modules: Automatic control module, used for real-time monitoring and precise control of the degumming process; The collaborative operation module is used to coordinate the work between various devices and workstations and is responsible for the collaborative operation of multiple devices; Data acquisition and sensing module, used to collect and transmit various physical and chemical data during the degumming process of mulberry silk fabrics; Data analysis and optimization module, used to optimize the degumming process in real time through big data technology and machine learning algorithms; Intelligent feedback and early warning module, used to monitor the operating status in real time, issue early warnings and make automatic adjustments when abnormalities occur; The user management and interface module is used for operator interaction and provides management and control functions for production data.

2. The automated high-precision collaborative degumming system for mulberry silk fabrics according to claim 1 is characterized in that: The automation control module comprises: The real-time monitoring unit uses a temperature and humidity sensor, a pH sensor, and a flow sensor to monitor the temperature, humidity, and concentration of the degumming solution during the degumming process of the mulberry silk fabric in real time, and transmits the data to the central control unit via wireless communication; The process adjustment unit uses electric valves, liquid pumps and temperature control equipment to automatically adjust the concentration, flow rate, temperature and humidity of the degumming liquid according to real-time monitoring data; The central control unit, based on the PLC controller, adjusts the actuators through logical control and data calculation, and coordinates various parameters in the degumming process.

3. The automated high-precision collaborative degumming system for mulberry silk fabrics according to claim 1, characterized in that: The collaborative operation module includes: The inter-device communication unit uses Wi-Fi, Bluetooth or ZigBee wireless communication technology to transmit real-time data between different workstations and equipment, responsible for information sharing and collaborative work; The synchronous scheduling unit automatically adjusts the working order of each device according to real-time data through the scheduling controller and job scheduling algorithm, and is responsible for the synchronous operation of the equipment to avoid stagnation in the production process; The multi-task execution unit, based on multi-threaded control technology, supports simultaneous operation of multiple stations, and uses the load balancing system to optimize the working efficiency of each device and reduce the waiting time between devices.

4. The automated high-precision collaborative degumming system for mulberry silk fabrics according to claim 1, characterized in that: The data acquisition and sensing module includes: The sensor unit uses a variety of sensing devices such as temperature and humidity sensors, flow sensors, and pH sensors to collect environmental parameters of mulberry silk fabrics and the physical and chemical properties of the degumming solution; The data transmission unit transmits the data collected by the sensor to the cloud platform or local data storage unit in real time through Wi-Fi, Ethernet, LoRa wireless or wired communication protocols; The data synchronization and storage unit, based on distributed storage technology, ensures the integrity and consistency of data collection and stores it in real time for subsequent data processing and analysis.

5. The automated high-precision collaborative degumming system for mulberry silk fabrics according to claim 1, characterized in that: The data analysis and optimization module includes: The data cleaning and preprocessing unit uses the data cleaning algorithm to preprocess the collected sensor data and remove outliers and noise; The process optimization and modeling unit uses regression analysis, decision trees and neural network machine learning algorithms to build an optimization model for the degumming process based on historical data and real-time data, and automatically adjusts the process parameters of degumming solution concentration, temperature and humidity; The adaptive learning and feedback unit automatically learns from historical data and real-time data through deep learning technology, and adaptively adjusts various parameters in the degumming process according to different environmental conditions.

6. The automated high-precision collaborative degumming system for mulberry silk fabrics according to claim 1, characterized in that: The intelligent feedback and early warning module includes: The status monitoring unit uses temperature and humidity sensors and liquid level sensors to monitor the status of various process parameters in real time. Once an abnormal parameter is found, it will be immediately transmitted to the central control unit; The early warning and alarm unit, based on data analysis and fault diagnosis algorithms, automatically issues an early warning signal when it detects that the process parameters of temperature, humidity and degumming liquid concentration are beyond the set range; The automatic adjustment and repair unit, combined with the PLC controller and redundant controller, can automatically adjust parameters or start backup equipment when a fault occurs to avoid production interruption.

7. The automated high-precision collaborative degumming system for mulberry silk fabrics according to claim 1, characterized in that: The user management and interface module includes: User interface unit, providing a graphical operating interface on a touch screen or PC, allowing operators to view real-time data, adjust process parameters, start or stop; The authority management unit adopts identity authentication and authority allocation mechanism, so that only authorized personnel can operate, ensuring production safety; The reporting and analysis unit, combined with the data visualization platform and statistical tools, automatically generates production reports and data analysis results for operators and managers to review, analyze and make decisions.

8. A method for automated high-precision collaborative degumming of mulberry silk fabrics, characterized in that: The automated high-precision collaborative degumming system for mulberry silk fabrics according to any one of claims 1 to 7 comprises the following steps: S1, automation control stage, through the automation control module, using temperature and humidity sensors, pH sensors and flow sensors to monitor the temperature, humidity and degumming liquid concentration parameters of mulberry silk fabric in real time, and transmit the monitoring data to the central control unit, which calculates and adjusts the flow, concentration, temperature and humidity of the degumming liquid based on the PLC controller; S2, collaborative operation stage, through the collaborative operation module, based on Wi-Fi, Bluetooth or ZigBee wireless communication technology, the status data between each degumming station and the equipment is transmitted in real time, and the scheduling controller adjusts the operation order of each equipment according to the job scheduling algorithm to perform multi-device synchronous operation; S3, data collection stage, through the data collection and sensing module, using temperature and humidity sensors, flow sensors and pH sensor equipment, to collect data on the environmental parameters of mulberry silk fabrics during the degumming process and the physical and chemical properties of the degumming solution, and use wireless or wired communication protocols to transmit the data in real time to the cloud platform; S4, data analysis and optimization stage, through the data analysis and optimization module, use the data cleaning algorithm to pre-process the collected data, remove outliers, optimize the degumming process parameters based on regression analysis, decision tree and neural network machine learning methods, establish an adaptive learning model, and automatically adjust the degumming solution concentration and temperature and humidity parameters according to historical data and real-time data; S5, intelligent feedback and early warning stage, through the intelligent feedback and early warning module, the state monitoring unit continuously monitors various production parameters, and based on data analysis and fault diagnosis algorithms, determines whether the temperature, humidity and degumming liquid concentration parameters exceed the set range. When the set threshold is exceeded, the early warning signal is triggered and the adjustment strategy is automatically executed; S6, user management and interface interaction stage, through the user management and interface module, the operator uses the touch screen or PC graphical interface to view real-time production data, adjust process parameters, and control user access rights based on the authority management mechanism, so that different users can perform corresponding operations within the scope of authority.

9. A computer 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, the automated high-precision collaborative degumming method for mulberry silk fabrics as described in claim 8 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 automated high-precision collaborative degumming method for mulberry silk fabrics as claimed in claim 8 is implemented.

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