Glue solution conveying control system and method in solvent method short fiber production process

Abstract

The invention provides a glue solution conveying control system and method in a solvent method short fiber production process, and the system comprises a glue solution preparation and pretreatment module, a glue solution storage and conveying module, a real-time monitoring and control module, a safety protection and emergency treatment module and a data recording and analysis module. The intelligent control valve is used for automatically adjusting the glue solution flow according to the requirements of the spinning machine, the sensor is used for monitoring the production process in real time, related parameters are automatically adjusted to prevent abnormity, a safety protection mechanism is arranged, abnormal conditions can be responded in time, remote access and deep analysis of data are supported, the production flow is optimized, and the production efficiency is improved. The invention aims to improve the automation level and the product quality of short fiber production.

Description

Technical Field

[0001] This invention relates to the field of short fiber production control, and in particular to a control system and method for conveying adhesive liquid in the solvent-based short fiber production process. Background Technology

[0002] Solvent-based staple fiber production is an efficient and environmentally friendly production method. It mainly involves dissolving natural or synthetic cellulose materials into a solution using a specific solvent, and then converting it into staple fibers through a complex physicochemical process. Compared with traditional chemical dissolution and mechanical processing methods, this method has higher resource utilization and lower environmental pollution. However, the solvent-based staple fiber production process involves multiple steps such as solution preparation, transportation, and spinning, which have very high requirements for process conditions, especially the strict control of solution quality.

[0003] Traditional methods in adhesive preparation often rely on manual monitoring and adjustment, which not only increases the difficulty of operation but also makes it difficult to achieve precise control. During adhesive filtration and degassing, it is impossible to effectively remove tiny impurities and air bubbles from the adhesive. There is a lack of effective dynamic adjustment mechanisms to adapt to changes in adhesive density. Traditional systems also have many shortcomings in adhesive transportation and storage. For example, they cannot maintain a constant temperature of the adhesive, causing the adhesive properties to fluctuate with environmental changes. Air bubbles are easily generated during transportation, affecting product quality. Flow control is not precise enough and cannot meet different production needs. Existing production systems have a slow response speed to abnormal situations. Once a fault occurs, such as overpressure or overtemperature, it may not be possible to take timely measures, resulting in production interruption or even safety accidents. Summary of the Invention

[0004] The purpose of this invention is to provide a control system and method for conveying adhesive liquid in the solvent-based short fiber production process.

[0005] The problem this invention aims to solve is the following: inaccurate temperature and pressure control during adhesive dissolution and degassing, insufficient real-time monitoring and automatic regulation of parameters such as flow rate, temperature, pressure, and viscosity during adhesive transportation, lack of effective early warning mechanisms and emergency response measures, and weak production data management and analysis capabilities. Through an intelligent control system, the accuracy and automation level of adhesive processing are improved, ensuring the safety and efficiency of production.

[0006] A solvent-based staple fiber production process adhesive delivery control system includes: The adhesive preparation and pretreatment module adds cellulose raw materials and solvents to the mixing tank according to the set ratio, starts the stirrer to accelerate the dissolution process of cellulose raw materials in the solvent, monitors the temperature during the dissolution process through a temperature sensor, removes impurities from the adhesive solution through a multi-stage filter, removes tiny bubbles from the adhesive solution using a vacuum environment, monitors the pressure and temperature during the degassing process in real time using pressure and temperature sensors, and dynamically adjusts the pressure and temperature during the degassing process based on the density change of the adhesive solution. Adhesive storage and delivery module: The pretreated adhesive is stored in a constant temperature storage tank. A temperature sensor is installed inside the storage tank to monitor the adhesive temperature in real time. The delivery flow rate of the adhesive is adjusted by an intelligent flow control valve. The opening of the control valve is automatically adjusted according to the flow rate requirement of the spinning machine. Real-time monitoring and control module: Temperature, pressure, and viscosity sensors are installed at the nodes of the delivery pipeline to collect the temperature, pressure, and viscosity parameters of the adhesive in real time. The collected parameter data is analyzed in real time to predict possible abnormal situations, including sudden temperature changes, pressure and viscosity fluctuations. Based on the real-time data analysis results, the heating power, pressure, and pump speed parameters are automatically adjusted. Safety protection and emergency response module: Based on the real-time collected temperature, pressure and viscosity parameters of the adhesive, when the pressure exceeds the set value, an alarm is issued, the relevant feed valve and discharge valve are closed, the adhesive delivery is stopped, the emergency pump is started, the adhesive is delivered to a safe container, and an automatic cleaning device is installed in the delivery pipeline to start the cleaning program periodically. Data recording and analysis module: Uploads all data from the production process to the cloud in real time, enabling remote access and analysis of the data. It conducts in-depth analysis of historical data to identify bottlenecks and areas for improvement in the production process, optimizes production processes, and generates visual reports.

[0007] A method for controlling the delivery of adhesive solution in the solvent-based staple fiber production process is provided, based on the aforementioned adhesive solution delivery control system in the solvent-based staple fiber production process. The technical solution adopted is as follows: S1: Add cellulose raw materials and solvents to the mixing tank according to the set ratio, start the stirrer to accelerate the dissolution process of cellulose raw materials, monitor the temperature during the dissolution process through the temperature sensor, filter the pre-dissolved adhesive solution through a multi-stage filter, and send the filtered adhesive solution into the vacuum degassing system. Use pressure and temperature sensors to monitor the pressure and temperature during the degassing process in real time, and dynamically adjust the pressure and temperature during the degassing process based on the density change of the adhesive solution. S2: The pretreated adhesive is transported to a storage tank. A temperature sensor is installed inside the storage tank to monitor the temperature of the adhesive in real time. A heating device is set up to keep the storage tank at a constant temperature. S3: Install a high-precision flow meter at the inlet of the conveying pipeline to measure the actual flow rate of the adhesive liquid, and install an intelligent control valve to automatically adjust the valve opening according to the flow rate requirements of the spinning machine. S4: Temperature sensors, pressure sensors, and viscosity sensors are installed at each connection node of the conveying pipeline. The real-time collected data is transmitted to the central control room through a wireless communication module. The data is analyzed in real time to identify potential anomalies, including sudden temperature changes, pressure and viscosity fluctuations. The heating power, pressure, and pump speed parameters are automatically adjusted based on the real-time data analysis results. S5: When the parameter value in the abnormal situation is too large, an alarm will be issued immediately and the emergency plan will be activated. The on-site operators will be notified to carry out inspection and maintenance, and an automatic cleaning device will be installed in the conveying pipeline to start the cleaning program regularly. S6: Utilize a big data analytics platform to conduct in-depth analysis of historical data, including production efficiency, energy consumption, and equipment operating status. Through trend analysis and comparative analysis, identify bottlenecks and improvement points in the production process, generate analysis reports, provide optimization suggestions, and use report generation tools to generate visual reports.

[0008] Furthermore, in step S1, the pre-dissolved adhesive solution is filtered through a multi-stage filter, and the pressure and temperature during the degassing process are dynamically adjusted based on changes in the adhesive solution's density, including: A three-stage filter is used. The first stage filter removes large particles of impurities, the second stage filter further removes fine impurities, and the third stage filter ensures the purity of the adhesive. Pressure sensors are installed before and after each stage filter to monitor the filtration effect in real time. A backwashing system is used to backwash the filter regularly. An automatic switching valve is installed so that when a stage filter is blocked, it automatically switches to the standby filter. The filtered adhesive solution is sent into the vacuum degassing system. An initial vacuum level is set. Temperature and pressure sensors are installed inside the degassing tank to monitor the temperature and pressure during the degassing process in real time. The density change of the adhesive solution is monitored in real time by an online densitometer. The pressure and temperature during the degassing process are dynamically adjusted according to the density change of the adhesive solution. The current density of the adhesive solution is monitored in real time using an online density meter. Calculate the current density and the target density error ; Calculate pressure adjustment value , ,in Update the vacuum setting value according to the corresponding coefficient. ,in Adjust the vacuum level to the new set value using the vacuum pump controller, based on the initial vacuum level set. ; Calculate temperature adjustment value , ,in Corresponding coefficient, update temperature setpoint ,in The vacuum level is adjusted to the new set value via the heating device controller after setting the initial temperature. .

[0009] Furthermore, in step S2, the temperature of the adhesive solution is monitored in real time, and a heating device is set up to maintain the storage tank at a constant temperature, including: Temperature sensors are installed at different heights and locations in the storage tank to monitor the temperature distribution of the adhesive in real time. Electric heating rods are used, with anti-scaling coatings on their surfaces, and are installed at the bottom of the storage tank. When the temperature is lower than the set value, the heater is automatically turned on to restore the temperature to the set value. When the temperature is higher than the set value, the heater is automatically turned off. The temperature is controlled by data from the integrated temperature sensor.

[0010] Furthermore, an intelligent control valve is installed in S3 to automatically adjust the valve opening according to the needs of the spinning machine, including: S31: Install a flow meter at the inlet of the delivery pipeline. The measuring point is located on the straight section of the pipeline, away from bends and valves that may cause interference. Measure the actual flow rate of the adhesive using a pneumatic regulating valve installed at the inlet of the delivery pipeline. S32: Uses wireless transmission technology to transmit traffic data to the central control room in real time, uses CRC check method to verify the data, monitors the data transmission status in real time, and immediately retransmits the data if there is any abnormality. S33: Set initial parameters, target flow and initial valve opening Real-time measurement of the actual flow rate using a high-precision flow meter. Calculate flow error , Calculate the rate of change of flow error , ,in This represents the flow error from the previous time period; S34: Yes Convert the membership values ​​to fuzzy sets. The membership values ​​are converted into fuzzy sets. Based on the fuzzy rule base, matching rules are found, and the valve opening control signal is calculated. , ,in It is the output of the i-th rule in the fuzzy rule base. It is the membership degree value of the i-th rule in the fuzzy rule base; S35: Calculate the control signal The data is sent to the intelligent control valve to adjust the valve opening. The flow error is continuously monitored and adjusted accordingly. When the flow error... If the flow rate is less than the set threshold, the target is considered to have been reached, and the adjustment range is reduced.

[0011] Furthermore, in step S4, the data is analyzed in real time to identify potential anomalies, including sudden temperature changes and pressure fluctuations. Based on the real-time data analysis results, the heating power, pressure, and pump speed parameters are automatically adjusted, including: S41: Remove outliers and noise from the real-time collected temperature, pressure, and viscosity data, normalize the data to the same range, and use statistical methods to detect sudden changes in temperature, pressure, and viscosity. When the real-time temperature, pressure, and viscosity values ​​are greater than the average values ​​of the corresponding data over the previous period, it is considered that a sudden change in temperature, pressure, and viscosity has occurred. S42: Adjust heating power , ,in It's the heating gain, which is adjusted according to the system characteristics. It is a second-order gain. It is the target temperature. This is the current actual temperature; Adjust pressure , ,in It is the pressure gain, which is adjusted according to the system characteristics. It is temperature compensation gain. It is the pressure of the target; Adjust pump speed , ,in It is the pump speed gain. This is the coupling gain, taking into account the effect of temperature on pump speed. It is the target viscosity. This is the current actual viscosity.

[0012] The beneficial effects of this invention are: by precisely controlling the temperature, pressure, and viscosity parameters of the adhesive, product quality problems caused by parameter fluctuations are avoided, ensuring the stability of the quality and performance of the final short fiber product; The real-time monitoring and control module can quickly respond to changes in the production process, adjust process parameters in a timely manner, reduce production interruptions or inefficient operation caused by unstable parameters, and improve overall production efficiency. The safety protection and emergency response module takes swift action when it detects an anomaly, such as closing relevant valves or starting emergency pumps, to effectively prevent accidents and ensure production safety. By intelligently controlling parameters such as heating power and pump speed, unnecessary energy consumption can be avoided, achieving energy conservation and emission reduction, and reducing production costs. The data recording and analysis module helps identify production bottlenecks, propose improvement measures, and continuously optimize production processes by collecting and analyzing large amounts of data during the production process. Attached Figure Description

[0013] Figure 1 This is a block diagram of a glue delivery control system in the solvent-based short fiber production process. Figure 2 This is a flowchart of a method for controlling the delivery of adhesive liquid in the production of short fibers using a solvent method. Detailed Implementation

[0014] The present invention will be further described clearly and completely below, but the scope of protection of the present invention is not limited thereto.

[0015] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0016] Example 1 A solvent-based staple fiber production process adhesive delivery control system includes: The adhesive preparation and pretreatment module adds cellulose raw materials and solvents to the mixing tank according to the set ratio, starts the stirrer to accelerate the dissolution process of cellulose raw materials in the solvent, monitors the temperature during the dissolution process through a temperature sensor, removes impurities from the adhesive solution through a multi-stage filter, removes tiny bubbles from the adhesive solution using a vacuum environment, monitors the pressure and temperature during the degassing process in real time using pressure and temperature sensors, and dynamically adjusts the pressure and temperature during the degassing process based on the density change of the adhesive solution. Adhesive storage and delivery module: The pretreated adhesive is stored in a constant temperature storage tank. A temperature sensor is installed inside the storage tank to monitor the adhesive temperature in real time. The delivery flow rate of the adhesive is adjusted by an intelligent flow control valve. The opening of the control valve is automatically adjusted according to the flow rate requirement of the spinning machine. Real-time monitoring and control module: Temperature, pressure, and viscosity sensors are installed at the nodes of the delivery pipeline to collect the temperature, pressure, and viscosity parameters of the adhesive in real time. The collected parameter data is analyzed in real time to predict possible abnormal situations, including sudden temperature changes, pressure and viscosity fluctuations. Based on the real-time data analysis results, the heating power, pressure, and pump speed parameters are automatically adjusted. Safety protection and emergency response module: Based on the real-time collected temperature, pressure and viscosity parameters of the adhesive, when the pressure exceeds the set value, an alarm is issued, the relevant feed valve and discharge valve are closed, the adhesive delivery is stopped, the emergency pump is started, the adhesive is delivered to a safe container, and an automatic cleaning device is installed in the delivery pipeline to start the cleaning program periodically. Data recording and analysis module: Uploads all data from the production process to the cloud in real time, enabling remote access and analysis of the data. It conducts in-depth analysis of historical data to identify bottlenecks and areas for improvement in the production process, optimizes production processes, and generates visual reports.

[0017] A method for controlling the delivery of adhesive solution in the solvent-based staple fiber production process is provided, based on the aforementioned adhesive solution delivery control system in the solvent-based staple fiber production process. The technical solution adopted is as follows: S1: Add cellulose raw materials and solvents to the mixing tank according to the set ratio, start the stirrer to accelerate the dissolution process of cellulose raw materials, monitor the temperature during the dissolution process through the temperature sensor, filter the pre-dissolved adhesive solution through a multi-stage filter, and send the filtered adhesive solution into the vacuum degassing system. Use pressure and temperature sensors to monitor the pressure and temperature during the degassing process in real time, and dynamically adjust the pressure and temperature during the degassing process based on the density change of the adhesive solution. S2: The pretreated adhesive is transported to a storage tank. A temperature sensor is installed inside the storage tank to monitor the temperature of the adhesive in real time. A heating device is set up to keep the storage tank at a constant temperature. S3: Install a high-precision flow meter at the inlet of the conveying pipeline to measure the actual flow rate of the adhesive liquid, and install an intelligent control valve to automatically adjust the valve opening according to the flow rate requirements of the spinning machine. S4: Temperature sensors, pressure sensors, and viscosity sensors are installed at each connection node of the conveying pipeline. The real-time collected data is transmitted to the central control room through a wireless communication module. The data is analyzed in real time to identify potential anomalies, including sudden temperature changes, pressure and viscosity fluctuations. The heating power, pressure, and pump speed parameters are automatically adjusted based on the real-time data analysis results. S5: When the parameter value in the abnormal situation is too large, an alarm will be issued immediately and the emergency plan will be activated. The on-site operators will be notified to carry out inspection and maintenance, and an automatic cleaning device will be installed in the conveying pipeline to start the cleaning program regularly. S6: Utilize a big data analytics platform to conduct in-depth analysis of historical data, including production efficiency, energy consumption, and equipment operating status. Through trend analysis and comparative analysis, identify bottlenecks and improvement points in the production process, generate analysis reports, provide optimization suggestions, and use report generation tools to generate visual reports.

[0018] Furthermore, in step S1, the pre-dissolved adhesive solution is filtered through a multi-stage filter, and the pressure and temperature during the degassing process are dynamically adjusted based on changes in the adhesive solution's density, including: A three-stage filter is used. The first stage filter removes large particles of impurities, the second stage filter further removes fine impurities, and the third stage filter ensures the purity of the adhesive. Pressure sensors are installed before and after each stage filter to monitor the filtration effect in real time. A backwashing system is used to backwash the filter regularly. An automatic switching valve is installed so that when a stage filter is blocked, it automatically switches to the standby filter. The filtered adhesive solution is sent into the vacuum degassing system. An initial vacuum level is set. Temperature and pressure sensors are installed inside the degassing tank to monitor the temperature and pressure during the degassing process in real time. The density change of the adhesive solution is monitored in real time by an online densitometer. The pressure and temperature during the degassing process are dynamically adjusted according to the density change of the adhesive solution. The current density of the adhesive solution is monitored in real time using an online density meter. Calculate the current density and the target density error ; Calculate pressure adjustment value , ,in Update the vacuum setting value according to the corresponding coefficient. ,in Adjust the vacuum level to the new set value using the vacuum pump controller, based on the initial vacuum level set. ; Calculate temperature adjustment value , ,in Corresponding coefficient, update temperature setpoint ,in The vacuum level is adjusted to the new set value via the heating device controller after setting the initial temperature. .

[0019] Furthermore, in step S2, the temperature of the adhesive solution is monitored in real time, and a heating device is set up to maintain the storage tank at a constant temperature, including: Temperature sensors are installed at different heights and locations in the storage tank to monitor the temperature distribution of the adhesive in real time. Electric heating rods are used, with anti-scaling coatings on their surfaces, and are installed at the bottom of the storage tank. When the temperature is lower than the set value, the heater is automatically turned on to restore the temperature to the set value. When the temperature is higher than the set value, the heater is automatically turned off. The temperature is controlled by data from the integrated temperature sensor.

[0020] Furthermore, an intelligent control valve is installed in S3 to automatically adjust the valve opening according to the needs of the spinning machine, including: S31: Install a flow meter at the inlet of the delivery pipeline. The measuring point is located on the straight section of the pipeline, away from bends and valves that may cause interference. Measure the actual flow rate of the adhesive using a pneumatic regulating valve installed at the inlet of the delivery pipeline. S32: Uses wireless transmission technology to transmit traffic data to the central control room in real time, uses CRC check method to verify the data, monitors the data transmission status in real time, and immediately retransmits the data if there is any abnormality. S33: Set initial parameters, target flow and initial valve opening Real-time measurement of the actual flow rate using a high-precision flow meter. Calculate flow error , Calculate the rate of change of flow error , ,in This represents the flow error from the previous time period; S34: Yes Convert the membership values ​​to fuzzy sets. The membership values ​​are converted into fuzzy sets. Based on the fuzzy rule base, matching rules are found, and the valve opening control signal is calculated. , ,in It is the output of the i-th rule in the fuzzy rule base. It is the membership degree value of the i-th rule in the fuzzy rule base; S35: Calculate the control signal The data is sent to the intelligent control valve to adjust the valve opening. The flow error is continuously monitored and adjusted accordingly. When the flow error... If the flow rate is less than the set threshold, the target is considered to have been reached, and the adjustment range is reduced.

[0021] Furthermore, in step S4, the data is analyzed in real time to identify potential anomalies, including sudden temperature changes and pressure fluctuations. Based on the real-time data analysis results, the heating power, pressure, and pump speed parameters are automatically adjusted, including: S41: Remove outliers and noise from the real-time collected temperature, pressure, and viscosity data, normalize the data to the same range, and use statistical methods to detect sudden changes in temperature, pressure, and viscosity. When the real-time temperature, pressure, and viscosity values ​​are greater than the average values ​​of the corresponding data over the previous period, it is considered that a sudden change in temperature, pressure, and viscosity has occurred. S42: Adjust heating power , ,in It's the heating gain, which is adjusted according to the system characteristics. It is a second-order gain. It is the target temperature. This is the current actual temperature; Adjust pressure , ,in It is the pressure gain, which is adjusted according to the system characteristics. It is temperature compensation gain. It is the pressure of the target; Adjust pump speed , ,in It is the pump speed gain. This is the coupling gain, taking into account the effect of temperature on pump speed. It is the target viscosity. This is the current actual viscosity.

[0022] Example 2 Add 100 kg of cellulose raw material and 900 kg of NMMO solution to the mixing tank, start the stirrer at 200 rpm to accelerate dissolution for 30 minutes, monitor the dissolution temperature with a temperature sensor, set to 55-65°C; if below 55°C, automatically start heating; if above 65°C, automatically cool. After initial dissolution, the solution passes through a three-stage filter: the first stage filter removes large particles, with pressure differential monitoring: if the pressure difference is >0.5 bar, backwashing is triggered; the second stage removes fine impurities, and when the pressure difference is >1 bar, automatically switches to the standby filter; the third stage ensures purity, and when the pressure difference is >1.5 bar, an alarm is triggered and the process pauses. The backwashing system automatically starts every 2 hours, with a water pressure of 3 bar and a rinsing time of 5 minutes.

[0023] The filtered adhesive solution was fed into a vacuum degassing tank, with initial parameters set as follows: vacuum degree 0.1 bar, temperature 60°C. Density was monitored in real-time using an online density meter. For example, if the initial value is 1.18 g / cm³, the target density =1.2g / cm³, calculation error ; Use formula ,coefficient =0.5, =0.1, When = 0.02, ΔP = 0.5 * 0.02 + 0.1 * ∫0.02dt ≈ 0.01 + 0.002t, update the vacuum degree. , =0.1 bar, then =0.11 bar), which can be adjusted via the vacuum pump controller; formula (coefficient =0.5, =0.2). Error change rate ( =1min), From 0.02 to 0.015, =-0.005 / min, then ΔT=0.5*0.015+0.2*(-0.005)=0.0075-0.001=0.0065°C, update the temperature setting. The temperature was adjusted from 60°C to 60.0065°C, and the heating device responded automatically. The degassing time was 20 minutes until the density stabilized, with an error of <0.005g / cm³.

[0024] After pretreatment, the adhesive is transported to a storage tank. Temperature sensors installed at the bottom, middle, and top of the tank monitor the temperature distribution in real time. The target temperature is 60°C. If the temperature reaches 58.5°C, the heating rod is automatically turned on with a power of 5kW until the temperature returns to 60°C. If the temperature reaches 61.5°C, the heater is automatically turned off. The heating control adopts ON / OFF logic and integrates sensor data. Adjustments are made when the temperature difference is >0.5°C. The storage time is ≤2 hours to prevent adhesive degradation.

[0025] A high-precision flow meter (electromagnetic, accuracy ±0.5%) and an intelligent control valve (pneumatic regulating valve) are installed at the inlet of the conveying pipeline to determine the required flow rate of the spinning machine. =500L / min, set according to the production plan; The flow meter is installed on a straight pipe section, away from bends, to measure the actual flow rate. Data is wirelessly transmitted to the control room. CRC check ensures accuracy; if the check fails, the data is retransmitted. The initial valve opening is then set. =50%. Calculation error, , =480L / min, =20, Error Change Rate , =Sampling time is 10 seconds; Fuzzy rule base rules, rule 1: If is negative and is negative, then Decrease by 10%; Rule 2: If is Zheng Xiao and is zero, then Increased slightly, by 2%; calculate , =20 (positive small), =5 (positive small), matching rule output =+3%, then ≈+3%, adjust the valve opening from 50% to 53%, continuously monitor, when... When the flow rate is less than 5L / min, reduce the adjustment range, halve the PID gain, and stabilize the flow rate to ±2% within 5 minutes.

[0026] Sensors are installed at pipe nodes to collect temperature, pressure, and viscosity data in real time at a sampling rate of 1Hz. Data preprocessing includes noise removal and normalization. Abrupt change detection is performed: if the real-time value is greater than the average value of the previous minute plus 2 × standard deviation, and the temperature suddenly rises from 60°C to 65°C, an anomaly is identified. Heating power adjustment: , =0.8 (gain coefficient) =0.05, =62°C, target 60°C =0.8(-2)+0.05(4)=-1.6+0.2=-1.4kW, the negative value indicates a drop in temperature; Pressure adjustment: , =0.6, =0.1, =5 bar, =5.5 bar, =60°C, then =0.6(-0.5)+0.1(-0.5) / 61≈-0.3-0.0008≈-0.3008bar, lower the pressure; Pump speed adjustment: , =0.7, =0.2, =500cP, =520cP, =60°C, then =0.7(-20)+0.2(-20)*(0)=-14+0=-14rpm, reduce pump speed.

[0027] When an anomaly is detected (such as pressure > 6 bar or viscosity > 600 cP), the system immediately issues an alarm, the control room screen flashes red, the inlet / outlet valves are closed (response time < 1 second), the emergency pump is activated, and the adhesive is guided to a safe container with a capacity of 500 L. An SMS alarm is sent to notify the operator to check. The automatic cleaning device starts every 8 hours: it injects cleaning fluid (water + alkali) and circulates for 10 minutes to prevent pipe blockage.

[0028] All data is uploaded to the cloud in real time and analyzed using an analytics platform: in-depth analysis of historical data, such as production efficiency and energy consumption over the past week; identification of bottlenecks, such as frequent increases in filter differential pressure indicating excessive impurities; generation of visual reports, with line graphs showing temperature fluctuation trends and providing optimization suggestions such as adjusting the dissolution ratio.

[0029] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0030] This invention provides a control system and method for conveying adhesive solution in the solvent-based staple fiber production process. The system includes modules for adhesive solution preparation and pretreatment, storage and delivery, real-time monitoring and control, safety protection and emergency handling, and data recording and analysis. By precisely controlling the adhesive solution's ratio, temperature, pressure, and viscosity parameters, the system ensures stable adhesive solution quality. An intelligent control valve automatically adjusts the adhesive solution flow rate according to the spinning machine's requirements. Sensors monitor the production process in real time and automatically adjust relevant parameters to prevent anomalies. A safety protection mechanism is included to respond promptly to abnormal situations. The system supports remote data access and in-depth analysis to optimize the production flow, aiming to improve the automation level and product quality of staple fiber production. Heating power adjustment: , =0.8 (gain coefficient) =0.05, =62°C, target 60°C =0.8(-2)+0.05(4)=-1.6+0.2=-1.4kW, the negative value indicates a drop in temperature; Pressure adjustment: , =0.6, =0.1, =5 bar, =5.5 bar, =60°C, then =0.6(-0.5)+0.1(-0.5) / 61≈-0.3-0.0008≈-0.3008bar, lower the pressure; Pump speed adjustment: , =0.7, =0.2, =500cP, =520cP, =60°C, then =0.7(-20)+0.2(-20)*(0)=-14+0=-14rpm, reduce pump speed.

[0031] When an anomaly is detected (such as pressure > 6 bar or viscosity > 600 cP), the system immediately issues an alarm, the control room screen flashes red, the inlet / outlet valves are closed (response time < 1 second), the emergency pump is activated, and the adhesive is guided to a safe container with a capacity of 500 L. An SMS alarm is sent to notify the operator to check. The automatic cleaning device starts every 8 hours: it injects cleaning fluid (water + alkali) and circulates for 10 minutes to prevent pipe blockage.

[0032] All data is uploaded to the cloud in real time and analyzed using an analytics platform: in-depth analysis of historical data, such as production efficiency and energy consumption over the past week; identification of bottlenecks, such as frequent increases in filter differential pressure indicating excessive impurities; generation of visual reports, with line graphs showing temperature fluctuation trends and providing optimization suggestions such as adjusting the dissolution ratio.

[0033] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0034] This invention provides a solvent-based staple fiber production process adhesive delivery control system and method. The system includes modules for adhesive preparation and pretreatment, adhesive storage and delivery, real-time monitoring and control, safety protection and emergency handling, and data recording and analysis. By precisely controlling the adhesive ratio, temperature, pressure, and viscosity parameters, the system ensures stable adhesive quality. Intelligent control valves automatically adjust the adhesive flow rate according to the spinning machine's requirements. Sensors monitor the production process in real time and automatically adjust relevant parameters to prevent anomalies. A safety protection mechanism is included to respond promptly to abnormal situations. The system supports remote data access and in-depth analysis, optimizing the production flow and aiming to improve the automation level and product quality of staple fiber production.

Claims

1. A solvent-based staple fiber production process adhesive delivery control system, characterized in that, include: The adhesive preparation and pretreatment module adds cellulose raw materials and solvents to the mixing tank according to the set ratio, starts the stirrer to accelerate the dissolution process of cellulose raw materials in the solvent, monitors the temperature during the dissolution process through a temperature sensor, removes impurities from the adhesive solution through a multi-stage filter, removes tiny bubbles from the adhesive solution using a vacuum environment, monitors the pressure and temperature during the degassing process in real time using pressure and temperature sensors, and dynamically adjusts the pressure and temperature during the degassing process based on the density change of the adhesive solution. Adhesive storage and delivery module: The pretreated adhesive is stored in a constant temperature storage tank. A temperature sensor is installed inside the storage tank to monitor the adhesive temperature in real time. The delivery flow rate of the adhesive is adjusted by an intelligent flow control valve. The opening of the control valve is automatically adjusted according to the flow rate requirement of the spinning machine. Real-time monitoring and control module: Temperature, pressure, and viscosity sensors are installed at the nodes of the delivery pipeline to collect the temperature, pressure, and viscosity parameters of the adhesive in real time. The collected parameter data is analyzed in real time to predict possible abnormal situations, including sudden temperature changes, pressure and viscosity fluctuations. Based on the real-time data analysis results, the heating power, pressure, and pump speed parameters are automatically adjusted. Safety protection and emergency response module: Based on the real-time collected temperature, pressure and viscosity parameters of the adhesive, when the pressure exceeds the set value, an alarm is issued, the relevant feed valve and discharge valve are closed, the adhesive delivery is stopped, the emergency pump is started, the adhesive is delivered to a safe container, and an automatic cleaning device is installed in the delivery pipeline to start the cleaning program periodically. Data recording and analysis module: Uploads all data from the production process to the cloud in real time, enabling remote access and analysis of the data. It conducts in-depth analysis of historical data to identify bottlenecks and areas for improvement in the production process, optimizes production processes, and generates visual reports.

2. A method for controlling the delivery of adhesive solution in the solvent-based short fiber production process, characterized in that, The process is based on the adhesive delivery control system in the solvent-based short fiber production process as described in claim 1, including: S1: Add cellulose raw materials and solvents to the mixing tank according to the set ratio, start the stirrer to accelerate the dissolution process of cellulose raw materials, monitor the temperature during the dissolution process through the temperature sensor, filter the pre-dissolved adhesive solution through a multi-stage filter, and send the filtered adhesive solution into the vacuum degassing system. Use pressure and temperature sensors to monitor the pressure and temperature during the degassing process in real time, and dynamically adjust the pressure and temperature during the degassing process based on the density change of the adhesive solution. S2: The pretreated adhesive is transported to a storage tank. A temperature sensor is installed inside the storage tank to monitor the temperature of the adhesive in real time. A heating device is set up to keep the storage tank at a constant temperature. S3: Install a high-precision flow meter at the inlet of the conveying pipeline to measure the actual flow rate of the adhesive liquid, and install an intelligent control valve to automatically adjust the valve opening according to the flow rate requirements of the spinning machine. S4: Temperature sensors, pressure sensors, and viscosity sensors are installed at each connection node of the conveying pipeline. The real-time collected data is transmitted to the central control room through a wireless communication module. The data is analyzed in real time to identify potential anomalies, including sudden temperature changes, pressure and viscosity fluctuations. The heating power, pressure, and pump speed parameters are automatically adjusted based on the real-time data analysis results. S5: When the parameter value in the abnormal situation is too large, an alarm will be issued immediately and the emergency plan will be activated. The on-site operators will be notified to carry out inspection and maintenance, and an automatic cleaning device will be installed in the conveying pipeline to start the cleaning program regularly. S6: Utilize a big data analytics platform to conduct in-depth analysis of historical data, including production efficiency, energy consumption, and equipment operating status. Through trend analysis and comparative analysis, identify bottlenecks and improvement points in the production process, generate analysis reports, provide optimization suggestions, and use report generation tools to generate visual reports.

3. The method for controlling the delivery of adhesive solution in the solvent-based short fiber production process as described in claim 2, characterized in that, In step S1, the pre-dissolved adhesive solution is filtered through a multi-stage filter. The pressure and temperature during the degassing process are dynamically adjusted based on changes in the adhesive solution's density, including: A three-stage filter is used. The first stage filter removes large particles of impurities, the second stage filter further removes fine impurities, and the third stage filter ensures the purity of the adhesive. Pressure sensors are installed before and after each stage filter to monitor the filtration effect in real time. A backwashing system is used to backwash the filter regularly. An automatic switching valve is installed so that when a stage filter is blocked, it automatically switches to the standby filter. The filtered adhesive solution is sent into the vacuum degassing system. An initial vacuum level is set. Temperature and pressure sensors are installed inside the degassing tank to monitor the temperature and pressure during the degassing process in real time. The density change of the adhesive solution is monitored in real time by an online densitometer. The pressure and temperature during the degassing process are dynamically adjusted according to the density change of the adhesive solution. The current density of the adhesive solution is monitored in real time using an online density meter. Calculate the current density and the target density error ; Calculate pressure adjustment value , ,in Update the vacuum setting value for the corresponding coefficient. ,in Adjust the vacuum level to the new set value using the vacuum pump controller, based on the initial vacuum level set. ; Calculate temperature adjustment value , ,in Corresponding coefficient, update temperature setpoint ,in The vacuum level is adjusted to the new set value via the heating device controller after setting the initial temperature. .

4. The method for controlling the delivery of adhesive solution in the solvent-based short fiber production process as described in claim 2, characterized in that, The S2 step involves real-time monitoring of the adhesive temperature and the installation of a heating device to maintain a constant temperature in the storage tank, including: Temperature sensors are installed at different heights and locations in the storage tank to monitor the temperature distribution of the adhesive in real time. Electric heating rods are used, with anti-scaling coatings on their surfaces, and are installed at the bottom of the storage tank. When the temperature is lower than the set value, the heater is automatically turned on to restore the temperature to the set value. When the temperature is higher than the set value, the heater is automatically turned off. The temperature is controlled by data from the integrated temperature sensor.

5. The method for controlling the delivery of adhesive solution in the solvent-based short fiber production process as described in claim 2, characterized in that, The S3 is equipped with an intelligent control valve that automatically adjusts the valve opening according to the needs of the spinning machine, including: S31: Install a flow meter at the inlet of the delivery pipeline. The measuring point is located on the straight section of the pipeline, away from bends and valves that may cause interference. Measure the actual flow rate of the adhesive using a pneumatic regulating valve installed at the inlet of the delivery pipeline. S32: Uses wireless transmission technology to transmit traffic data to the central control room in real time, uses CRC check method to verify the data, monitors the data transmission status in real time, and immediately retransmits the data if there is any abnormality. S33: Set initial parameters, target flow and initial valve opening Real-time measurement of the actual flow rate using a high-precision flow meter. Calculate flow error , Calculate the rate of change of flow error , ,in This represents the flow error from the previous time period; S34: Yes Convert the membership values ​​to fuzzy sets. The membership values ​​are converted into fuzzy sets. Based on the fuzzy rule base, matching rules are found, and the valve opening control signal is calculated. , ,in It is the output of the i-th rule in the fuzzy rule base. It is the membership degree value of the i-th rule in the fuzzy rule base; S35: Calculate the control signal The data is sent to the intelligent control valve to adjust the valve opening. The flow error is continuously monitored and adjusted accordingly. When the flow error... If the flow rate is less than the set threshold, the target is considered to have been reached, and the adjustment range is reduced.

6. The method for controlling the delivery of adhesive solution in the solvent-based short fiber production process as described in claim 2, characterized in that, In step S4, the data is analyzed in real time to identify potential anomalies, including sudden temperature changes and pressure fluctuations. Based on the real-time data analysis results, the heating power, pressure, and pump speed parameters are automatically adjusted, including: S41: Remove outliers and noise from the real-time collected temperature, pressure, and viscosity data, normalize the data to the same range, and use statistical methods to detect sudden changes in temperature, pressure, and viscosity. When the real-time temperature, pressure, and viscosity values ​​are greater than the average values ​​of the corresponding data over the previous period, it is considered that a sudden change in temperature, pressure, and viscosity has occurred. S42: Adjust heating power , ,in It's the heating gain, which is adjusted according to the system characteristics. It is a second-order gain. It is the target temperature. This is the current actual temperature; Adjust pressure , ,in It is the pressure gain, which is adjusted according to the system characteristics. It is temperature compensation gain. It is the pressure of the target; Adjust pump speed , ,in It is the pump speed gain. This is the coupling gain, taking into account the effect of temperature on pump speed. It is the target viscosity. This is the current actual viscosity.

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