Intelligent liquid supply control system based on programmable logic controller

Abstract

The invention discloses an intelligent liquid supply control system based on a programmable logic controller, which relates to the technical field of industrial automation control and comprises the programmable logic controller, a multi-sensor module, an actuating mechanism module, a man-machine interaction module and a communication module. According to the intelligent liquid supply control system, through multi-sensor fusion and a self-adaptive algorithm, the control precision of solution concentration and temperature is remarkably improved, the concentration control precision reaches + / -1%, the temperature fluctuation range is reduced to + / -5 DEG C, the requirement of a high-precision industrial scene is met, and by means of the application of the main and standby pump set dynamic switching and fault prediction technology, the control precision is greatly improved. The fault response time is greatly shortened to be within 0.5 second, the reliability and the response speed of the system are effectively improved, and due to the modular architecture and the standardized communication protocol of the system, newly-added equipment can be plug-and-play, the expansion and transformation period is greatly shortened, and the maintenance cost is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of industrial automation control, and in particular to an intelligent liquid supply control system based on a programmable logic controller. BACKGROUND

[0002] In the field of industrial automation control, efficient and accurate operation of the liquid supply system is crucial for many production processes. In particular, in high-precision industrial scenarios such as chemical industry, semiconductor manufacturing, and new energy battery production, precise delivery, real-time monitoring, and abnormal handling of high-concentration chemical solutions are required, which poses stringent requirements on the performance of the liquid supply control system. Traditional liquid supply control technology has been unable to meet the fine and intelligent needs of current production, and more advanced technical solutions are needed to achieve breakthroughs to promote the high-quality development of related industries.

[0003] However, the existing liquid supply control system has many problems. On the one hand, the traditional system based on programmable logic controller (PLC) has relatively simple functions, and mostly only enables the start and stop operation of a single device, lacking the logic of multi-device collaborative control. In complex industrial production scenarios, multiple devices cannot effectively cooperate, seriously affecting production efficiency and the overall operation effect of the system. On the other hand, the control accuracy of solution concentration and temperature is insufficient. Currently, solution concentration mainly relies on manual adjustment, which is not only inefficient but also has large errors, usually exceeding ±5%; temperature fluctuations are also obvious, reaching ±10℃ or more, which can easily lead to unstable product quality for production processes with strict requirements on solution concentration and temperature. In addition, the existing system has poor scalability, fixed hardware and communication interfaces, making it difficult to quickly adapt to the needs of production line expansion; the emergency capability is also weak, lacking effective backup mechanisms in the event of power failure or device failure, and there is a high risk of downtime. In view of this, we propose an intelligent liquid supply control system based on a programmable logic controller. SUMMARY

[0004] To solve the above technical problems, an intelligent liquid supply control system based on a programmable logic controller is provided, which solves the problems of the traditional programmable logic controller (PLC) system having relatively simple functions and the control accuracy of solution concentration and temperature being insufficient and relying on manual adjustment.

[0005] To achieve the above purposes, the technical scheme adopted by the present application is as follows: An intelligent liquid supply control system based on a programmable logic controller, comprising: a programmable logic controller, a multi-sensor module, an actuator module, a human-computer interaction module, and a communication module. The programmable logic controller module is used to obtain real-time data through multi-sensor fusion, adopt adaptive algorithm to implement closed-loop control on the actuator module, and realize dynamic switching control of the main and standby pump groups and heating-stirring linkage control. The multi-sensor module is used to detect real-time detection of solution concentration, temperature parameters, pump group mechanical state and liquid level information. The actuator module is used to execute system control instructions, and the control instructions include: main and standby pump group solution delivery, vacuum powder extraction system adjusting feeding amount, electric heater and stirring device controlling temperature and uniformity, and electromagnetic valve group controlling pipeline on-off and leakage prevention. The human-computer interaction module is used to realize the interaction between human and system, and state display and alarm prompt are realized through three-color lights, screens and the like; the communication module is used to realize system internal communication by adopting ModbusTCP and Profinet protocols, connect external devices through RS485 expansion port, and realize data interaction with manufacturing execution system based on OPCUA protocol, and the communication module contains a protocol conversion unit to realize data integration of heterogeneous devices.

[0006] Preferably, the programmable logic controller monitors the current, vibration and temperature parameters of the main pump and standby pump in real time through the IO module, when detecting that the main pump has overload or jamming failure, according to the historical failure frequency of the equipment and the current load state, the main and standby pump group switching is completed within 0.5 seconds through the preset priority algorithm; the priority algorithm takes the failure frequency as a weight factor, dynamically allocates in combination with the real-time load power of the pump group, avoids overload of the standby pump, and triggers alarm and failure information recording when switching.

[0007] Preferably, the multi-sensor module includes: a weight sensor and a conductivity sensor for double feedback of solution concentration; a platinum resistance temperature sensor with an accuracy of ±0.15℃, used for detecting the temperature of the dissolving tank and the storage tank; a radar liquid level sensor with an accuracy of ±1mm, used for monitoring the liquid level; a vibration sensor and a current sensor, used for collecting pump group bearing vibration signals and running current; The multi-sensor data is input into the programmable logic controller after fusion, realizing concentration closed-loop control and fault prediction.

[0008] Preferably, in the actuator module, the vacuum powder extraction system is fed back by the weight sensor and the conductivity sensor, and the programmable logic controller calculates the real-time concentration deviation according to the formula: Q 粉末 =K p ·(C 目标 -C 实际 )+K i·∫(C 目标 -C 实际 )dt wherein Q 粉末 represents the real-time feeding amount of the vacuum powder extraction system, K p represents the proportional term coefficient in the PID control, K i represents the integral term coefficient in the PID control, C 目标 represents the preset target concentration value, C 实际 represents the current concentration of the solution calculated in real time through double feedback; wherein K p and K i are dynamically optimized through machine learning, achieving a solution concentration control accuracy of ±1%; The electric heater and the stirring device are linked and controlled through a PID algorithm, so that the solution temperature rising rate is ≤5℃ / min.

[0009] Preferably, the main and standby pump groups of the actuator module adopt corrosion-resistant magnetic drive pumps, the pipeline system is provided with a double-layer corrosion-resistant structure and a liquid leakage detection device, and when leakage is detected, the solenoid valve is closed and the drainage pump is started within 0.5 seconds to guide the residual liquid into the emergency storage tank.

[0010] Preferably, the quick-release interface of the communication module supports the parallel connection of new pipelines, and the communication protocol is compatible with ModbusTCP, Profinet and RS485 standards. The new equipment is connected to the system through the plug-and-play mode.

[0011] Preferably, the human-computer interaction module is provided with a hierarchical alarm system: The first level alarm triggers the indicator light and the interface prompt; The second level alarm starts the standby equipment and sends a short message alarm; The third level alarm cuts off the power supply and starts the emergency flushing system, and locks the operation permission at the same time.

[0012] Preferably, the programmable logic controller adopts a redundant CPU architecture, integrates an adaptive PID algorithm, dynamically adjusts the control parameters according to historical operation data, and realizes fault prediction in combination with vibration spectrum analysis.

[0013] Preferably, the temperature control system adopts a double closed-loop control strategy, the inner loop controls the temperature of the dissolving tank at 100±5℃, the outer loop controls the temperature of the storage tank at 120±5℃, and the stirring speed is dynamically adjusted with the heating power to improve the temperature uniformity.

[0014] Preferably, the communication module exchanges data with the MES system through the OPCUA protocol, uploads real-time data including liquid level, concentration, temperature and equipment state, and integrates a multi-protocol conversion unit to realize data integration of heterogeneous devices.

[0015] Compared with the prior art, the application has the beneficial effects that: The intelligent liquid supply control system provided by the application significantly improves the control accuracy of solution concentration and temperature through multi-sensor fusion and adaptive algorithm. The concentration control accuracy reaches ±1%, and the temperature fluctuation range is reduced to ±5℃, meeting the needs of high-precision industrial scenarios. The application of dynamic switching of main and standby pump groups and fault prediction technology significantly shortens the fault response time to within 0.5 seconds, effectively improving the reliability and response speed of the system. The modular architecture and standardized communication protocol of the system enable new devices to be plug-and-play, significantly shortening the expansion and reconstruction cycle and reducing maintenance costs. Through data interaction with the MES system via the OPCUA protocol, remote monitoring and predictive maintenance of device status are realized, further improving the operation and maintenance efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 The system module framework of the application is shown in the figure; Figure 2 The system workflow diagram of the application is shown in the figure. DETAILED DESCRIPTION

[0017] The following description is used to disclose the application so that those skilled in the art can implement the application. The preferred embodiments in the following description are only examples, and other obvious variations can be conceived by those skilled in the art.

[0018] Referring to Figure 1 The intelligent liquid supply control system based on programmable logic controller is an advanced system designed to meet the needs of modern industry for high-precision, high-reliability and intelligent management of liquid supply process. The system mainly consists of a programmable logic controller, a multi-sensor module, an actuator module, a human-machine interaction module and a communication module.

[0019] The programmable logic controller module is the core control hub of the entire system. It processes the data collected by the multi-sensor module to obtain real-time data during the liquid supply process. Advanced adaptive algorithms are used to implement precise closed-loop control of the actuator module according to different working conditions and real-time data. In terms of control of the main and standby pump groups, when the main pump fails, it can quickly and reliably switch to the standby pump to ensure the continuity of liquid supply. At the same time, heating-stirring linkage control is realized, and the power of the electric heater and the speed of the stirring device are adjusted according to the temperature and concentration requirements of the solution to ensure the uniformity and stability of the solution.

[0020] The multi-sensor module is like the "sensing organ" of the system, which functions to detect various key parameters of the solution in real time. Through high-precision sensors, the concentration, temperature parameters, mechanical state of the pump set, and liquid level information of the solution can be accurately obtained. These data provide a solid basis for the decision-making of the programmable logic controller module, enabling the system to respond timely and accurately according to actual conditions.

[0021] The actuator module is the "execution arm" of the system, strictly following the control instructions issued by the programmable logic controller to perform corresponding operations. The main and backup pump sets are responsible for the delivery of the solution, ensuring that the solution can be supplied to the designated location according to the specified flow rate and pressure. The vacuum powder extraction system can accurately adjust the amount of material added, ensuring the accuracy of the solution concentration. The electric heater and stirring device work together to control the temperature and uniformity of the solution. The solenoid valve group is used to control the on-off of the pipeline and prevent leakage, ensuring the safety and reliability of the liquid supply process.

[0022] The human-machine interaction module builds a convenient communication bridge between humans and the system. The operator can intuitively understand the running state of the system through the three-color light and screen. When the system encounters an abnormality, it can promptly issue an alarm prompt to facilitate the operator's handling.

[0023] The communication module realizes data interaction between the system and the outside. ModbusTCP and Profinet protocols are adopted to ensure efficient communication between modules within the system. Through the RS485 expansion port, various external devices can be connected, increasing the expandability of the system. Based on the OPCUA protocol, data interaction with the manufacturing execution system is realized, and through the protocol conversion unit, data integration of heterogeneous devices is achieved, enabling the entire liquid supply system to seamlessly connect with the enterprise's production management system, improving production efficiency and management level.

[0024] The programmable logic controller monitors the current, vibration, and temperature parameters of the main pump and backup pump in real time through the IO module. When an overload or jamming failure of the main pump is detected, the system switches the main and backup pump sets within 0.5 seconds based on the preset priority algorithm, taking into account the historical failure frequency and current load state. The priority algorithm uses failure frequency as a weight factor and dynamically allocates based on the real-time load power of the pump set, avoiding overload of the backup pump and triggering an alarm and fault information record during switching. The programmable logic controller monitors the main and backup pump states in real time through the IO module, accurately detects main pump overload, jamming, and other failures in a timely manner, relies on the priority algorithm with a failure frequency weight, and quickly switches the backup pump within 0.5 seconds to avoid overload, ensuring continuous liquid supply, and simultaneously triggering an alarm and fault record for subsequent maintenance, significantly improving system reliability and operation efficiency.

[0025] The multi-sensor module plays a crucial role in the programmable logic controller-based intelligent liquid supply control system and is the data cornerstone of the system's precise operation. The module contains multiple different types of sensors to accurately monitor various parameters of the solution.

[0026] The weight sensor and conductivity sensor provide double feedback for solution concentration. The weight sensor can sense the weight change of the solution in real time, and the conductivity sensor reflects the concentration of the solution by detecting its conductivity. The two work together to ensure the accuracy of the concentration data.

[0027] The platinum resistance temperature sensor has a high precision of ±0.15℃ and detects the temperature of the dissolving tank and storage tank in real time. Such precise temperature monitoring helps the system accurately control the temperature according to different process requirements, ensuring the stability of the solution performance.

[0028] The radar liquid level sensor has an accuracy of ±1mm and can accurately monitor the liquid level. This is important for controlling the amount of solution supplied and preventing overflow.

[0029] The vibration sensor and current sensor are responsible for collecting the vibration signals and operating current of the pump set bearings. By analyzing these data, we can detect abnormalities in the pump set in advance and predict faults.

[0030] All the data collected by these sensors are fused and input into the programmable logic controller, which realizes closed-loop control of the solution concentration and effective prediction of system faults, providing strong support for the stable operation of the entire liquid supply system.

[0031] In the actuator module, the vacuum powder extraction system is fed back by the weight sensor and conductivity sensor, and the programmable logic controller calculates the real-time concentration deviation according to the formula: Q 粉末 =K p ·(C 目标 -C 实际 )+K i ·∫(C 目标 -C 实际 )dt In the formula, Q 粉末 represents the real-time feeding amount of the vacuum powder extraction system, K p represents the proportional term coefficient in PID control, K i represents the integral term coefficient in PID control, C 目标 represents the preset target concentration value, C 实际 represents the current concentration of the solution calculated in real time by double feedback; and K p and K iThrough machine learning dynamic optimization, the solution concentration control accuracy is ±1%; the vacuum powder extraction system is fed back by weight and conductivity sensors, the concentration deviation is calculated by the formula in the programmable logic controller, the PID coefficient is dynamically optimized by machine learning, the feeding amount is accurately controlled, the solution concentration is ±1% high-precision control, the solution concentration is stable, the high requirement process is met, and the product quality and system reliability are improved.

[0032] The electric heater and the stirring device are linked and controlled by PID algorithm, the system collects solution temperature data in real time, adjusts the power of the electric heater and the rotating speed of the stirring device accurately according to the algorithm, and stably controls the solution heating rate to be ≤5 ℃ / min, so that local overheating is avoided, the solution is uniformly heated, and the strict requirement on the heating process in the field of fine chemical industry is met. The main and standby pump groups adopt corrosion-resistant magnetic drive pumps, and a shaft seal design is adopted to prevent solution leakage, and are suitable for conveying corrosive solutions such as strong acid and strong base. The pipeline system is provided with a double-layer corrosion-resistant structure (such as a PP inner layer and a SS304 outer layer), and a leakage detection device is arranged, which can close the electromagnetic valve within 0.5 seconds when leakage is detected, and start the drainage pump to guide the residual liquid into the emergency storage tank, so as to avoid equipment damage and environmental hazards, and ensure the safety of operation. The quick release interface of the communication module supports the parallel connection of new pipelines, simplifies the expansion process, the protocol is compatible with ModbusTCP, Profinet and RS485 standards, the new equipment is plug and play, and complex conversion or program modification is not needed, so that the system expansion and compatibility are improved, and subsequent upgrading and maintenance are facilitated. The hierarchical alarm system of the human-computer interaction module triggers the indicator light and interface prompt when the first-level alarm (such as low liquid level) occurs; the standby equipment is started and a short message is sent to the operation and maintenance when the second-level alarm (such as main pump failure) occurs; the power supply is cut off, the emergency flushing is started, and the operation permission is locked when the third-level alarm (such as serious leakage) occurs, until manual confirmation, so as to ensure the safety of personnel and equipment. The programmable logic controller adopts a redundant CPU architecture to ensure control continuity, the integrated adaptive PID algorithm dynamically adjusts parameters according to historical working conditions (such as winter-summer difference), and predicts faults in advance by analyzing the bearing state of the pump group through vibration spectrum analysis, so as to reduce downtime. The temperature control system adopts a double-closed-loop strategy, the inner loop uses fuzzy PID to control the temperature of the dissolving tank to be 100±5 ℃, the outer loop adjusts the temperature of the storage tank to be 120±5 ℃, and the stirring speed is dynamically adjusted with the heating power (such as increasing 20 rpm for every 10 KW increase), so as to enhance the solution flowability and improve the temperature uniformity. The communication module uploads data such as liquid level, concentration, temperature and equipment state to the MES system in real time through the OPCUA protocol, helps the MES to dynamically adjust the production plan (such as optimizing scheduling according to the solution preparation progress), integrates a multi-protocol conversion unit to be compatible with ModbusRTU, Profibus and the like, realizes integration and unified monitoring of heterogeneous device data, and promotes the integration of industrial production intelligentization and informatization.

[0033] Reference Figure 2The use process of the application is shown as follows: the system collects solution concentration, temperature, pump group mechanical state and liquid level information in real time through the multi-sensor module, and transmits the data after fusion to the programmable logic controller. The PLC uses adaptive algorithm to control the actuator module in a closed loop according to the received data, realizes functions such as dynamic switching of the main and standby pump groups, linkage control of heating and stirring, etc. At the same time, the system displays the state and sends out an alarm prompt through the human-computer interaction module, realizes internal communication and data interaction with external devices through the communication module, and ensures the precision, efficiency and stability of the liquid supply process.

[0034] Embodiment: The system uses Siemens S7-1500 series PLC, equipped with a redundant CPU (6ES7515-2AM01-0AB0) supporting hot plug, ensuring the stability and reliability of the control unit. In terms of sensors, an E+HFMR60 radar level sensor with an accuracy of ±1mm is selected to monitor the liquid level, a PT100 platinum resistance with an A-level accuracy (±0.15℃) is used to detect the temperature, and an SKFCMSS2100 vibration sensor is used to collect pump group bearing vibration data and give early warning of potential faults (accuracy ≥90%) through FFT analysis. In the actuator, the magnetic drive pump has a flow rate of 100L / min and a temperature resistance of 150℃, and is suitable for high-concentration corrosive solution delivery; an 80KW titanium material electric heater with a ceramic insulation layer is linked with a 0-200rpm adjustable stirring device, and the solution warming rate is controlled to be ≤5℃ / min through the PID algorithm. The pipeline adopts a double-layer structure of PP inner layer + SS304 outer layer, integrates a photoelectric liquid leakage sensor, and automatically closes the electromagnetic valve and starts the drainage pump within 0.5 seconds when leakage is detected. In software, the PLC obtains real-time data through multi-sensor fusion, dynamically adjusts the Kp, Ki and Kd parameters according to historical data using the adaptive PID algorithm, combines double feedback of the weight sensor and the conductivity sensor, and realizes high-precision control of the solution concentration ±1% through the control formula; the main and standby pump groups are based on the priority algorithm of fault frequency weight and current load, and switch to the standby pump and trigger the alarm log within 0.5 seconds when the main pump fault is detected. The communication interface supports ModbusTCP, Profinet protocol and RS485 port, interacts with the MES system through the OPCUA protocol, the pipeline adopts a DN50 quick-release flange, supports the addition of new pipeline parallel connection, and the expansion time is shortened by 80% compared with the traditional system.

[0035] In summary, the advantages of the present application are as follows: in terms of control accuracy, through the dual feedback of weight and conductivity sensors and the adaptive PID algorithm, the solution concentration control accuracy is improved from ±5% of the traditional system to ±1%, and the temperature fluctuation range is reduced from ±15℃ to ±5℃, meeting the high-precision industrial scene requirements of chemical industry, semiconductor, new energy battery production, etc.; in terms of reliability and response speed, the redundant CPU, dynamic switching of main and standby pump groups and fault prediction technology shorten the fault response time from 5-10 seconds to 0.5 seconds, increase the efficiency by 10-20 times, and the three-level alarm mechanism and anti-leakage linkage design effectively reduce the safety risk; in terms of scalability and maintainability, the modular architecture combined with standardized communication protocols and quick-release flange interfaces can be used without modifying the main program, and the expansion and reconstruction cycle is greatly shortened from 2-3 weeks to 3-5 days, combined with MES system data integration and fault log recording, the device state remote monitoring and predictive maintenance are realized, and the manual operation and maintenance cost is reduced; in addition, the hardware selection is resistant to high corrosion, which can adapt to various high-corrosive media such as hydrofluoric acid and sulfuric acid, and can control sterile fluids in pharmaceutical and food industries, and the application scenarios of the technology are widely derived.

[0036] The basic principles, main features and advantages of the present application are shown and described above. Those skilled in the art should understand that the present application is not limited by the above examples, and the above examples and descriptions in the specification are only the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection required by the present application is defined by the appended claims and their equivalents.

Claims

1. A programmable logic controller-based intelligent liquid supply control system, characterized by, The application relates to a programmable logic controller, a multi-sensor module, an actuator module, a man-machine interaction module and a communication module. The programmable logic controller module is used for acquiring real-time data through multi-sensor fusion, adopting an adaptive algorithm to implement closed-loop control on the actuator module, and realizing dynamic switching control of main and standby pump groups and heating-stirring linkage control. The multi-sensor module is used for detecting real-time detection of solution concentration, temperature parameters, pump group mechanical state and liquid level information. The actuator module is used for executing system control instructions, and the control instructions include: main and standby pump group solution delivery, vacuum powder extraction system adjustment of feeding amount, electric heater and stirring device control of temperature and uniformity and electromagnetic valve group control of pipeline on-off and leakage prevention. The man-machine interaction module is used for realizing the interaction between man and system, and state display and alarm prompt are realized through three-color lights, screens and the like; the communication module is used for realizing system internal communication through ModbusTCP and Profinet protocols, connecting external equipment through an RS485 expansion port, and realizing data interaction with a manufacturing execution system based on an OPCUA protocol; and the communication module contains a protocol conversion unit to realize data integration of heterogeneous devices. The programmable logic controller realizes real-time monitoring of the current, vibration and temperature parameters of the main pump and the standby pump through an IO module; when overload or jamming failure of the main pump is detected, switching of the main and standby pump groups is completed within 0.5 seconds according to the historical failure frequency of the equipment and the current load state through a preset priority algorithm; the priority algorithm takes the failure frequency as a weight factor, dynamically allocates in combination with the real-time load power of the pump group, avoids overload of the standby pump, and triggers alarm and failure information recording when switching.

2. The intelligent liquid supply control system based on programmable logic controller according to claim 1, characterized in that, The multi-sensor module comprises:

3. The intelligent liquid supply control system based on programmable logic controller according to claim 1, characterized in that, weight sensors and conductivity sensors for double feedback of solution concentration; a platinum resistance temperature sensor with an accuracy of +0.15 DEG C for detecting the temperature of a dissolving tank and a storage tank; a radar type liquid level sensor with an accuracy of +1mm for monitoring the liquid level; vibration sensors and current sensors for collecting pump group bearing vibration signals and running currents; multi-sensor data is input into the programmable logic controller after fusion, realizing concentration closed-loop control and failure prediction. In the actuator module, the vacuum powder extraction system is double-fed by weight sensors and conductivity sensors, and the programmable logic controller calculates the real-time concentration deviation according to a formula.

4. The intelligent liquid supply control system based on programmable logic controller according to claim 1, characterized in that, The electric heater and the stirring device are linkage-controlled through a PID algorithm, so that the solution temperature rising rate is less than or equal to 5 DEG C / min. Q 粉末 = K p ·(C 目标 -C 实际 )+ K i ·∫(C 目标 -C 实际 )dt In the formula, Q 粉末 represents the real-time feeding amount of the vacuum powder extraction system, K p represents the proportional term coefficient in PID control, K i represents the integral term coefficient in PID control, C 目标 represents the preset target concentration value, C 实际 represents the current concentration of the solution calculated in real time through double feedback; wherein K p and K i Through machine learning dynamic optimization, the solution concentration control accuracy is ±1%. The main and standby pump groups of the actuator module adopt corrosion-resistant magnetic drive pumps, the pipeline system is provided with a double-layer corrosion-resistant structure and a liquid leakage detection device, and when leakage is detected, the electromagnetic valve is closed and the drainage pump is started within 0.5 seconds, so that residual liquid is guided into an emergency storage tank.

5. The intelligent liquid supply control system based on programmable logic controller according to claim 1, characterized in that, The quick release interface of the communication module supports parallel connection of newly-added pipelines, the communication protocol is compatible with ModbusTCP, Profinet and RS485 standards, and the newly-added equipment is connected to the system in a plug-and-play mode.

6. The intelligent liquid supply control system based on programmable logic controller according to claim 1, wherein, The man-machine interaction module is provided with a hierarchical alarm system:

7. The intelligent liquid supply control system based on programmable logic controller according to claim 1, wherein, first-level alarm triggers an indicator light and interface prompt; second-level alarm starts standby equipment and sends a short message alarm. ​ The third level alarm cuts off power and starts emergency flushing system, and locks operation permission.

8. The intelligent liquid supply control system based on programmable logic controller according to claim 1, wherein, The programmable logic controller adopts redundant CPU architecture, integrates adaptive PID algorithm, dynamically adjusts control parameters according to historical operation data, and realizes fault prediction in combination with vibration spectrum analysis.

9. The intelligent liquid supply control system based on programmable logic controller according to claim 1, wherein, The temperature control system adopts a double closed-loop control strategy, the inner loop controls the temperature of the dissolving tank at 100±5℃, the outer loop controls the temperature of the storage tank at 120±5℃, and the stirring speed is dynamically adjusted with the heating power to improve the temperature uniformity.

10. The intelligent liquid supply control system based on programmable logic controller according to claim 1, characterized in that, The communication module interacts with the MES system through the OPCUA protocol, uploads real-time data including liquid level, concentration, temperature and equipment state, and integrates a multi-protocol conversion unit to realize data integration of heterogeneous devices.

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