Digital intelligent control device for synthesizing poly dimethyl diallyl ammonium chloride

By combining sensor modules and intelligent analysis modules, precise control and data acquisition of the polydimethyldiallyl ammonium chloride synthesis process were achieved, solving the problems of inaccurate temperature control and discontinuous data acquisition in traditional processes, reducing safety risks and improving teaching effectiveness.

CN121918652APending Publication Date: 2026-04-24LIAONING UNIVERSITY OF TECHNOLOGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
LIAONING UNIVERSITY OF TECHNOLOGY
Filing Date
2026-01-28
Publication Date
2026-04-24

AI Technical Summary

Technical Problem

Traditional processes for synthesizing polydimethyldiallyl ammonium chloride suffer from problems such as low temperature control precision, discontinuous data acquisition, high safety risks, and a lack of diverse teaching methods.

Method used

The system employs a sensor module to collect real-time temperature and pressure data inside the reactor, a core control module for precise control, an intelligent analysis module to perform data analysis and early warning using a pre-trained artificial intelligence model, and a multi-terminal monitoring module to enable remote access and data monitoring.

Benefits of technology

It achieves high-precision temperature control, reduces the risk of experimental failure, provides continuous and accurate data recording, improves teaching effectiveness, and cultivates students' digital literacy.

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Abstract

The invention discloses a digital intelligent control device for synthesizing poly dimethyl diallyl ammonium chloride, and belongs to the technical field of high polymer material synthesis. The device comprises a sensor module, a core control module, an execution module, a storage display module, an intelligent analysis module and a multi-terminal monitoring module. And the sensor module comprises multiple paths of temperature sensors and air pressure sensors which are arranged at the center and the outer edge of the reaction kettle. The method comprises the following steps: acquiring data at a first frequency after initialization; when a first time threshold value is reached, medicine adding is prompted; when a second time or temperature threshold value is reached, increasing the acquisition frequency to a second frequency; when the temperature reaches a second temperature threshold value, the automatic control execution module starts a cooling mechanism, and the temperature is dynamically stabilized in a target interval; according to the invention, the technical problems of low temperature control precision, discontinuous data acquisition and easy eruption in the PDMDAAC amplification experiment are solved, the precise, safe and intelligent control of the synthesis process is realized, and the product performance and the experiment teaching effect are improved.
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Description

Technical Field

[0001] This invention belongs to the field of polymer material synthesis technology, specifically relating to a digital control device for synthesizing polydimethyldiallyl ammonium chloride. Background Technology

[0002] Poly(diallyl ammonium chloride), an important water-soluble cationic polymer, is mainly prepared by free radical polymerization of dimethyldiallyl ammonium chloride in aqueous solution and is widely used in wastewater treatment, papermaking additives, and other fields. Its traditional laboratory synthesis process, especially scale-up experiments, typically employs a constant-temperature water bath, relying on manual timed temperature recording and adjustment to control the reaction process.

[0003] The existing technology has the following main drawbacks:

[0004] 1. Low control precision: Traditional constant temperature water baths have limited temperature control precision (usually ±0.5℃), while the PDMDAAC polymerization reaction is significantly exothermic, especially in the later heating stage, the temperature is prone to fluctuation or even sudden rise, resulting in a wider molecular weight distribution of the product and affecting flocculation performance.

[0005] Second, the data collection is crude: relying on manual recording of data every few minutes is not only labor-intensive, but also results in discontinuous data, human error, and failure to capture subtle changes in the reaction process, which is not conducive to process analysis and optimization.

[0006] 3. High safety risks: In scale-up experiments (such as 5L scale), if the accumulated exothermic reaction heat cannot be removed in time, it can easily lead to the material boiling or even eruption, resulting in a high failure rate and potential safety hazards.

[0007] Fourth, outdated teaching methods: The experimental model, which is mainly based on "following the prescription," makes it difficult to cultivate students' ability to use digital tools to solve complex engineering problems.

[0008] Therefore, developing a digital control device and method for synthesizing polydimethyldiallyl ammonium chloride is of great practical significance. Summary of the Invention

[0009] The technical problem to be solved by the present invention is to overcome the existing defects and provide a digital intelligent control device for the synthesis of polydimethyldiallyl ammonium chloride, so as to solve the problems of low temperature control accuracy, discontinuous data acquisition, high safety risks and single teaching mode in traditional synthesis process.

[0010] To achieve the above objectives, the present invention provides the following technical solution:

[0011] In a first aspect, the present invention provides a digital and intelligent control device for the synthesis of polydimethyldiallyl ammonium chloride, comprising a sensor module, a core control module, an execution module, a storage and display module, an intelligent analysis module, and a multi-terminal monitoring module. The sensor module is used to collect temperature and pressure data within the reactor in real time, and includes at least three temperature sensors and one pressure sensor. The core control module is electrically connected to the sensor module and is used to receive and process the data collected by the sensor module, and generate control commands according to a preset control strategy. The execution module is electrically connected to the core control module and is used to receive the control commands and perform physical operations to adjust the environment within the reactor; the execution module includes at least an inlet solenoid valve and an outlet pump. The storage and display module is connected to the core control module and is used to store the time-series data collected by the sensor module and perform real-time visualization. The intelligent analysis module is communicatively connected to the core control module and is used to analyze, judge, and provide early warnings based on historical experimental data. The multi-terminal monitoring module is network-connected to the core control module and is used to provide a remote access interface to realize real-time monitoring and historical playback of experimental data.

[0012] Furthermore, the at least three temperature sensors include a core temperature sensor located at the center of the material in the reactor, and at least two outer edge temperature sensors located on the inner or outer wall of the reactor, for monitoring the temperature gradient distribution inside the reactor.

[0013] Furthermore, the core control module uses an ESP32-WROOM-32D-32U microcontroller as the main controller, and the execution module also includes a relay and an audible and visual indicator. The relay is used to control the start and stop of the water pump, and the audible and visual indicator is used to issue a prompt signal at preset chemical dosing or heating nodes.

[0014] Furthermore, the storage and display module includes a local storage unit and a local display unit. The local storage unit is a TF memory card used to store temperature, air pressure, and timestamp data. The local display unit is a P169H002-CTPLCD screen used to display data curves and device status in real time.

[0015] Furthermore, the intelligent analysis module accesses a pre-trained artificial intelligence model via an API interface. This artificial intelligence model is trained based on a large amount of historical experimental data and is used to achieve automatic identification of reaction stages, calculation of temperature change trends, and abnormal safety early warning.

[0016] Furthermore, the multi-terminal monitoring module is built on the web server built into the core control module, generating a dynamic web page interface that allows users to view data charts, control parameters, and early warning information in real time on a mobile terminal or computer browser via a local area network or the Internet.

[0017] Secondly, the present invention provides a control method for an intelligent control device for synthesizing polydimethyldiallylammonium chloride, comprising the following steps:

[0018] S1. Device preparation and reagent preparation: Place the core temperature sensor in the center of the material inside the reactor, attach at least one outer edge temperature sensor to the reactor wall, connect the pressure sensor to the inside of the reactor through a conduit, connect the actuator and the main control module, insert the TF memory card and configure the network.

[0019] S2. Reagent preparation: Inject 5L of 40% DMDAAC solution into the reactor, add 25g of ammonium persulfate and 1g of disodium ethylenediaminetetraacetate, and purge with nitrogen gas;

[0020] S3. Preheating Start and Initial Data Acquisition: The constant temperature water bath is heated to 50℃, the microcontroller triggers the timer to return to zero, and starts to collect temperature and air pressure data every 5 seconds, which are synchronously stored to the TF card and displayed on the LCD screen.

[0021] S4. Stage prompts and strategy switching: The core control module triggers a prompt signal and executes the corresponding control strategy switching when the preset time node or temperature node is reached, based on the timer or the collected data.

[0022] S5. Intelligent Analysis and Real-time Early Warning: The collected real-time data is sent to the intelligent analysis module, which uses a pre-trained artificial intelligence model to analyze the data stream. The temperature stage is displayed on the front-end interface, including preheating, aggregation, cooling, and temperature change rate. If the air pressure rises suddenly, an early warning is triggered. The module identifies the current reaction stage, calculates the change rate of key parameters, and generates an early warning signal when an abnormal risk is detected.

[0023] S6. End of Experiment: When the temperature of the reaction system drops below 70°C, perform the final data saving operation and stop heating and data acquisition.

[0024] Further, step S4 includes:

[0025] S401: When the timer reaches the first time threshold, a prompt signal is triggered to indicate that an intermediate drug addition operation should be performed;

[0026] S402: When the timer reaches the second time threshold or the temperature reaches the first preset temperature threshold, a prompt signal is triggered, and the data acquisition frequency is switched from the first sampling frequency to a higher second sampling frequency;

[0027] S403: When the temperature reaches a second preset temperature threshold that is higher than the first preset temperature threshold, the execution module is automatically controlled to start the cooling mechanism to dynamically stabilize the reaction temperature within the target control range.

[0028] Furthermore, the first time threshold is 2 hours after the start of heating, used to prompt the addition of initiator; the second time threshold is 3 hours after the start of heating; the first preset temperature threshold is 80°C; the second preset temperature threshold is 85°C; and the target control range is 85°C to 100°C; the first sampling frequency is 5 seconds / time; and the second sampling frequency is 1 second / time.

[0029] Furthermore, when a main power outage is detected, the system automatically switches to the backup power supply to maintain the continuous operation of the core control module, storage and display module, and key sensors, ensuring uninterrupted data acquisition and storage.

[0030] Compared with the prior art, the present invention provides a digital intelligent control device for the synthesis of polydimethyldiallyl ammonium chloride, which has the following beneficial effects:

[0031] 1. This invention achieves precise and stable reaction temperature through closed-loop control of a high-precision sensor and an automatic temperature control system. Experimental results show that the solid content, characteristic viscosity, and oil removal rate of the obtained PDMDAAC product are all superior to those of traditional manual control experiments, and the molecular weight distribution is more uniform.

[0032] 2. The "threshold-triggered" automatic cooling mechanism of this invention effectively solves the risk of eruption in scale-up experiments, increasing the success rate of experiments from about 60% of traditional methods to nearly 100%.

[0033] 3. This invention enables data-driven process insight. High-density, automated data acquisition combined with AI intelligent analysis can completely and objectively record the entire reaction process, providing a solid data foundation for reaction mechanism research and process parameter optimization.

[0034] 4. This invention constructs a teaching platform that combines virtual and real elements. The device integrates hardware control, data visualization, and intelligent analysis. Students can remotely observe reaction dynamics, analyze data trends, and understand the application of AI in chemical engineering through multiple terminals, effectively cultivating digital literacy and engineering thinking ability.

[0035] The precise process parameters obtained by this device and method can provide valuable reference for the industrial continuous production of PDMDAAC, reducing production energy consumption and safety risks. Attached Figure Description

[0036] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention, but do not constitute a limitation thereof. In the drawings:

[0037] Figure 1 This is a system module block diagram of the intelligent control device in an embodiment of the present invention;

[0038] Figure 2 This is a schematic diagram showing the connection of the main hardware components of the control device in an embodiment of the present invention;

[0039] Figure 3 This is a schematic diagram of the overall construction of the digital intelligent experimental system in an embodiment of the present invention;

[0040] Figure 4 The process flow diagram for the prototype synthesis experiment of PDMDAAC;

[0041] Figure 5 This is a flowchart of the digital intelligent experimental system of the present invention. Detailed Implementation

[0042] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0043] Please see Figures 1-5 This invention provides a technical solution: A digital intelligent control device for synthesizing polydimethyldiallyl ammonium chloride, comprising a sensor module, a core control module, an execution module, a storage and display module, an intelligent analysis module, and a multi-terminal monitoring module. The sensor module is used to collect temperature and pressure data inside the reactor in real time, and includes at least three temperature sensors and one pressure sensor. The core control module is electrically connected to the sensor module and is used to receive and process the data collected by the sensor module, and generate control commands according to a preset control strategy. The execution module is electrically connected to the core control module and is used to receive control commands and perform physical operations to adjust the environment inside the reactor; the execution module includes at least an inlet solenoid valve and an outlet pump. The storage and display module is connected to the core control module and is used to store the time-series data collected by the sensor module and perform real-time visualization. The intelligent analysis module is communicatively connected to the core control module and is used to analyze, judge, and provide early warnings based on historical experimental data. The multi-terminal monitoring module is network connected to the core control module and is used to provide a remote access interface to realize real-time monitoring and historical playback of experimental data.

[0044] In this invention, at least three temperature sensors include a core temperature sensor located at the center of the material in the reactor, and at least two outer edge temperature sensors located on the inner or outer wall of the reactor, for monitoring the temperature gradient distribution inside the reactor.

[0045] In this invention, the core control module uses an ESP32-WROOM-32D-32U microcontroller as the main controller, and the execution module also includes a relay and an audible and visual indicator. The relay is used to control the start and stop of the water pump, and the audible and visual indicator is used to issue a prompt signal at preset dosing or heating nodes.

[0046] In this invention, the storage and display module further includes a local storage unit and a local display unit. The local storage unit is a TF memory card used to store temperature, air pressure and timestamp data. The local display unit is a P169H002-CTP LCD screen used to display data curves and device status in real time.

[0047] In this invention, the intelligent analysis module further connects to a pre-trained artificial intelligence model through an API interface. The artificial intelligence model is trained based on a large amount of historical experimental data and is used to realize automatic identification of reaction stages, calculation of temperature change trends, and abnormal safety early warning.

[0048] Furthermore, in this invention, the multi-terminal monitoring module is built on the web server built into the core control module to generate a dynamic web page interface, which allows users to view data charts, control parameters and early warning information in real time on a mobile terminal or computer browser via a local area network or the Internet.

[0049] This invention provides a control method for an intelligent control device for synthesizing polydimethyldiallyl ammonium chloride, comprising the following steps:

[0050] S1. Device preparation and reagent preparation: Place the core temperature sensor in the center of the material inside the reactor, attach at least one outer edge temperature sensor to the reactor wall, connect the pressure sensor to the inside of the reactor through a conduit, connect the actuator and the main control module, insert the TF memory card and configure the network.

[0051] S2. Reagent preparation: Inject 5L of 40% DMDAAC solution into the reactor, add 25g of ammonium persulfate and 1g of disodium ethylenediaminetetraacetate, and purge with nitrogen gas;

[0052] S3. Preheating Start and Initial Data Acquisition: The constant temperature water bath is heated to 50℃, the microcontroller triggers the timer to return to zero, and starts to collect temperature and air pressure data every 5 seconds, which are synchronously stored to the TF card and displayed on the LCD screen.

[0053] S4. Stage prompts and strategy switching: The core control module triggers a prompt signal and executes the corresponding control strategy switching when the preset time node or temperature node is reached, based on the timer or collected data.

[0054] S5. Intelligent Analysis and Real-time Early Warning: The collected real-time data is sent to the intelligent analysis module, which uses a pre-trained artificial intelligence model to analyze the data stream. The temperature stage is displayed on the front-end interface, including preheating, aggregation, cooling, and temperature change rate. If the air pressure rises suddenly, an early warning is triggered. The module identifies the current reaction stage, calculates the change rate of key parameters, and generates an early warning signal when an abnormal risk is detected.

[0055] S6. End of Experiment: When the temperature of the reaction system drops below 70°C, perform the final data saving operation and stop heating and data acquisition.

[0056] In this invention, step S4 further includes:

[0057] S401: When the timer reaches the first time threshold, a prompt signal is triggered, indicating that an intermediate dosing operation should be performed;

[0058] S402: When the timer reaches the second time threshold or the temperature reaches the first preset temperature threshold, a prompt signal is triggered, and the data acquisition frequency is switched from the first sampling frequency to a higher second sampling frequency;

[0059] S403: When the temperature reaches a second preset temperature threshold that is higher than the first preset temperature threshold, the automatic control execution module starts the cooling mechanism to dynamically stabilize the reaction temperature within the target control range.

[0060] In this invention, the first time threshold is 2 hours after the start of heating, used to prompt the addition of initiator; the second time threshold is 3 hours after the start of heating; the first preset temperature threshold is 80°C; the second preset temperature threshold is 85°C; the target control range is 85°C to 100°C; the first sampling frequency is 5 seconds / time; and the second sampling frequency is 1 second / time.

[0061] Furthermore, in this invention, when a main power interruption is detected, the system automatically switches to a backup power supply to maintain the continuous operation of the core control module, storage and display module, and key sensors, ensuring uninterrupted data acquisition and storage.

[0062] Example 1:

[0063] like Figure 1 , 2 As shown in Figure 5, the intelligent control device for synthesizing polydimethyldiallyl ammonium chloride according to the present invention is constructed as follows:

[0064] Core control module: Based on the ESP32-WROOM-32D-32U microcontroller, it is responsible for running the main control program. Its integrated WIFI function is used to build a web server and connect to the intelligent analysis API.

[0065] Sensor module:

[0066] Temperature acquisition: Three DS18B20 waterproof digital temperature sensors are used. One of them (T-Core) is installed at the top of a stainless steel probe and inserted into the center of the material in the 5L glass reactor; the other two (T-Edge1, T-Edge2) are tightly attached to the upper and lower middle parts of the outer wall of the reactor with thermally conductive silicone.

[0067] Gas pressure acquisition: An XGZP6847A (0~100kPa) gas pressure sensor was used, which was connected to the upper outlet of the condenser tube of the reactor through a silicone gas guide tube to monitor the gas phase pressure inside the reactor.

[0068] Execution module:

[0069] Cooling actuator: Includes a DC12V normally closed inlet solenoid valve (connected to the cooling water pipeline) and a small AC 220V hot water circulating pump (connected to the outlet of the reactor jacket). Both are controlled by a MY2NJDC12V relay.

[0070] Prompt Unit: An active buzzer and a red LED connected to the microcontroller's I / O port.

[0071] Storage and display module:

[0072] Storage unit: 64GB MicroSD (TF) card, connected to ESP32 via SPI interface, capable of storing more than 670,000 timestamped data records.

[0073] Display unit: A 5-inch P169H002-CTP capacitive touch LCD screen, connected to the ESP32 via a parallel interface, used to display multiple temperature curves, air pressure curves, real-time values, network IP addresses, and system status in real time.

[0074] Intelligent Analysis Module: In this embodiment, a DeepSeek pre-trained model, finely tuned based on a large amount of historical PDMDAAC experimental data, is deployed in the cloud. The ESP32 main control program sends the time-series data (core temperature, rate of temperature rise, and air pressure) of the most recent time window to the model's API interface via an HTTP POST request, and receives the returned stage labels, risk levels, and warning information.

[0075] Multi-device monitoring module: Utilizing the ESP32's built-in web server, and employing the Arduino framework and asynchronous WebSocket library, a dynamic web interface was developed. This interface displays data in real-time charts and includes a control panel. Users can access the monitoring page by entering the ESP32's IP address into a browser on any device (computer, mobile phone, tablet) within the same local area network.

[0076] Example 2:

[0077] Combination Figure 3 , 4 Taking the synthesis of 5L-scale PDMDAAC as an example, the specific implementation steps are as follows:

[0078] 1. System Setup and Initialization: According to Figure 3 Connect all hardware. Burn the configured ESP32 program to the microcontroller. After powering on, the system initializes, the LCD screen displays the main interface, and the web server starts.

[0079] 2. Feeding and Preparation: Add 5L of 40% DMDAAC aqueous solution, 25g of ammonium persulfate, and 1g of disodium ethylenediaminetetraacetate to a 5L reactor. Purge with nitrogen for 10 minutes. Fix the core temperature sensor probe to the middle of the liquid surface.

[0080] 3. Start the experiment: Turn on the super constant temperature water bath and set it to 50℃. Click the "Start Experiment" button on the device's touch screen. The microcontroller's internal timer will be reset to zero, and it will begin collecting three temperature data points and one air pressure data point every 5 seconds, storing and displaying the data in real time.

[0081] 4. Automatic dosing prompt: When the timer reaches 2 hours (120 minutes), the buzzer sounds and the LCD screen displays a prompt "Please add 25g of initiator". After the operator completes the dosing, click the confirmation button on the screen to close the prompt.

[0082] 5. Entering the critical monitoring stage: When the timer reaches 3 hours (180 minutes) or the core temperature reaches 80℃ (whichever comes first), the system will issue a prompt sound, and at the same time the data acquisition frequency will automatically switch to 1 second / time, entering the high-frequency monitoring mode.

[0083] 6. Automatic Triggering of Cooling and Temperature Control: When the core temperature sensor reading reaches the preset threshold of 85℃, the core control module immediately and automatically performs the following operations:

[0084] a) Open the inlet solenoid valve relay to inject cooling water;

[0085] b) Turn on the outlet pump relay to discharge the jacket hot water. The system uses a PID algorithm to dynamically adjust the cooling water flow rate, stabilizing the core temperature between 85-100℃ for about 1 hour to help it pass the peak of polymerization exothermic reaction. During this time, the intelligent analysis model continuously analyzes the data. If the calculated temperature rise rate exceeds the safety threshold or there are abnormal fluctuations in air pressure, a red warning will be issued on the web interface and LCD screen.

[0086] 7. Experiment End and Data Saving: After the exothermic reaction weakens, the temperature begins to drop naturally. When the core temperature drops below 70℃, the system will display "Reaction Ended." The operator clicks the "Save Data" button, and the system will save all data from this experiment in CSV format to the specified folder on the TF card and automatically stop data acquisition. Users can download this data file via the web interface for subsequent analysis.

[0087] Industrial application prospects: The precise process parameters obtained by this device (such as 85℃ as the optimal forced cooling start point and the temperature control curve corresponding to a specific inlet water flow rate) can directly provide a reference for the design of the jacket cooling system of the reactor in industrial production, which helps to achieve more stable, safer and more energy-efficient large-scale production.

[0088] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A digital control device for synthesizing polydimethyldiallyl ammonium chloride, characterized in that, include: The sensor module is used to collect temperature and pressure data inside the reactor in real time. It includes at least three temperature sensors and one pressure sensor. The core control module is electrically connected to the sensor module and is used to receive and process the data collected by the sensor module, and generate control commands according to the preset control strategy. An execution module, electrically connected to the core control module, is used to receive the control commands and perform physical operations to regulate the environment inside the reactor. The execution module includes at least an inlet solenoid valve and an outlet pump. A storage and display module, connected to the core control module, is used to store the time-series data collected by the sensor module and to perform real-time visualization display. The intelligent analysis module is connected in communication with the core control module and is used to analyze, judge and warn about the current reaction process based on historical experimental data; The multi-terminal monitoring module is network-connected to the core control module and is used to provide a remote access interface to realize real-time monitoring and historical playback of experimental data.

2. The intelligent control device for synthesizing polydimethyldiallyl ammonium chloride according to claim 1, characterized in that, The at least three temperature sensors include a core temperature sensor located at the center of the material in the reactor, and at least two outer edge temperature sensors located on the inner or outer wall of the reactor, for monitoring the temperature gradient distribution inside the reactor.

3. The intelligent control device for synthesizing polydimethyldiallyl ammonium chloride according to claim 1, characterized in that, The core control module uses an ESP32-WROOM-32D-32U microcontroller as the main controller. The execution module also includes a relay and an audible and visual indicator. The relay is used to control the start and stop of the water pump, and the audible and visual indicator is used to issue a prompt signal at preset chemical dosing or heating nodes.

4. The intelligent control device for synthesizing polydimethyldiallyl ammonium chloride according to claim 1, characterized in that, The storage and display module includes a local storage unit and a local display unit. The local storage unit is a TF memory card used to store temperature, air pressure, and timestamp data. The local display unit is a P169H002-CTP LCD screen used to display data curves and device status in real time.

5. The intelligent control device for synthesizing polydimethyldiallyl ammonium chloride according to claim 1, characterized in that, The intelligent analysis module accesses a pre-trained artificial intelligence model via an API interface. This model is trained based on a large amount of historical experimental data and is used to achieve automatic identification of reaction stages, calculation of temperature change trends, and early warning of abnormal safety conditions.

6. The intelligent control device for synthesizing polydimethyldiallyl ammonium chloride according to claim 1, characterized in that, The multi-terminal monitoring module is built on the web server built into the core control module, generating a dynamic web page interface that allows users to view data charts, control parameters, and early warning information in real time on mobile terminals or computer browsers via local area network or the Internet.

7. The control method for the intelligent control device for synthesizing polydimethyldiallyl ammonium chloride according to claims 1-6, characterized in that, Includes the following steps: S1. Device preparation and reagent preparation: Place the core temperature sensor in the center of the material inside the reactor, attach at least one outer edge temperature sensor to the reactor wall, connect the pressure sensor to the inside of the reactor through a conduit, connect the actuator and the main control module, insert the TF memory card and configure the network. S2. Reagent preparation: Inject 5L of 40% DMDAAC solution into the reactor, add 25g of ammonium persulfate and 1g of disodium ethylenediaminetetraacetate, and purge with nitrogen gas; S3. Preheating Start and Initial Data Acquisition: The constant temperature water bath is heated to 50℃, the microcontroller triggers the timer to return to zero, and starts to collect temperature and air pressure data every 5 seconds, which are synchronously stored to the TF card and displayed on the LCD screen. S4. Stage prompts and strategy switching: The core control module triggers a prompt signal and executes the corresponding control strategy switching when the preset time node or temperature node is reached, based on the timer or the collected data. S5. Intelligent Analysis and Real-time Early Warning: The collected real-time data is sent to the intelligent analysis module, which uses a pre-trained artificial intelligence model to analyze the data stream. The temperature stage is displayed on the front-end interface, including preheating, aggregation, cooling, and temperature change rate. If the air pressure rises suddenly, an early warning is triggered. The module identifies the current reaction stage, calculates the change rate of key parameters, and generates an early warning signal when an abnormal risk is detected. S6. End of Experiment: When the temperature of the reaction system drops below 70°C, perform the final data saving operation and stop heating and data acquisition.

8. The control method of the intelligent control device for synthesizing polydimethyldiallyl ammonium chloride according to claim 7, characterized in that, Step S4 includes: S401: When the timer reaches the first time threshold, a prompt signal is triggered to indicate that an intermediate drug addition operation should be performed; S402: When the timer reaches the second time threshold or the temperature reaches the first preset temperature threshold, a prompt signal is triggered, and the data acquisition frequency is switched from the first sampling frequency to a higher second sampling frequency; S403: When the temperature reaches a second preset temperature threshold that is higher than the first preset temperature threshold, the execution module is automatically controlled to start the cooling mechanism to dynamically stabilize the reaction temperature within the target control range.

9. The control method of the intelligent control device for synthesizing polydimethyldiallyl ammonium chloride according to claim 8, characterized in that, The first time threshold is 2 hours after the start of heating, used to prompt for the addition of initiator; the second time threshold is 3 hours after the start of heating; the first preset temperature threshold is 80℃; the second preset temperature threshold is 85℃; the target control range is 85℃ to 100℃; the first sampling frequency is 5 seconds / time; the second sampling frequency is 1 second / time.

10. The control method of the intelligent control device for synthesizing polydimethyldiallyl ammonium chloride according to claim 9, characterized in that, When a main power outage is detected, the system automatically switches to the backup power supply to maintain the continuous operation of the core control module, storage and display module, and key sensors, ensuring uninterrupted data acquisition and storage.