An industrial automation control system based on the Internet of Things

Abstract

The present invention discloses an industrial automation control system based on the Internet of Things, which specifically relates to the field of industrial automation control, including an industrial control information acquisition terminal, a communication module, a data processing center, a judgment module, a control module and a database. The industrial control information acquisition terminal collects information texts of a reactor in real time through a variety of sensors such as a pressure and temperature composite sensor, the communication module supports a variety of protocols and interfaces, realizes data interaction, remote control and system integration, each unit of the data processing center analyzes the information text, generates an Internet of Things data analysis text, the judgment module analyzes the text according to a preset value and judgment logic, the control module executes the judgment result, and the database stores the system information text. The system can fully perceive the operating status of the reactor, realize accurate control, improve production efficiency, ensure product quality, and effectively solve the problems of incomplete information collection and inaccurate control of traditional industrial control systems.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial automation control, and more specifically, to an industrial automation control system based on the Internet of Things. Background Art

[0002] In the process of industrial production, reactors, as core equipment, are widely used in many fields such as chemical industry, pharmaceuticals, and materials. They are stainless steel containers that can realize physical or chemical reactions. They ensure the smooth progress of various reactions by precisely controlling parameters such as temperature, pressure, and stirring speed.

[0003] With the vigorous development of Internet of Things technology, industrial automation control systems have ushered in a new opportunity for change. Industrial automation control systems based on the Internet of Things are committed to achieving real-time monitoring, intelligent control and optimized management of industrial production processes with the help of sensors, network communications, data analysis and other technical means. In terms of monitoring and controlling reactors, such systems expect to achieve comprehensive collection and in-depth analysis of various parameters in the reactor, thereby promoting the improvement of production efficiency and product quality.

[0004] However, there are still some shortcomings in its actual use. For example, the existing technology relies on a single sensor when collecting reactor data, and is unable to synchronously obtain the reactor's vibration acceleration, frequency components, material composition, liquid level and density and other multi-dimensional parameters, resulting in data isolation, making it difficult to support comprehensive decision-making, and unable to fully grasp the operating status of the reactor. Secondly, the existing technology mostly relies on simple data comparison or manual experience to control the reaction equipment, lacks effective algorithms and models for precise analysis and precise regulation, and is difficult to quickly adjust the reaction conditions according to actual conditions, making it difficult to maintain the reaction in the best state. At the same time, the existing technology lacks systematic and scientific judgment logic and effective control means in the judgment and control links, resulting in the production process of automated production being unstable and product quality cannot be guaranteed. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an industrial automation control system based on the Internet of Things, which solves the problems proposed in the above-mentioned background technology that the collected data is isolated and single and it is difficult to support comprehensive decision-making, the lack of effective algorithms and models makes it difficult to achieve accurate analysis and precise regulation of the production process, and the lack of systematic and scientific judgment logic and effective control means leads to the problem that the production process of automated production is not stable enough and product quality cannot be guaranteed.

[0006] To achieve the above object, the present invention provides the following technical solutions: an industrial automation control system based on the Internet of Things, comprising an industrial control information acquisition terminal, a communication module, a data processing center, a judgment module, a control module and a database;

[0007] The industrial control information acquisition terminal includes a pressure and temperature composite sensor, a multi-axis vibration sensor, a component spectrum analysis sensor, and a liquid level and density combination sensor, which are used to collect reactor data in real time to obtain IoT information text;

[0008] The IoT information text includes pressure parameters, temperature parameters, vibration acceleration parameters, vibration frequency parameters, material composition parameters, liquid level parameters and density parameters;

[0009] The communication module includes a wireless communication network unit, a wired communication network unit and a protocol conversion unit, which are used to support multiple communication protocols and interfaces to achieve data interaction, remote control and system integration;

[0010] The data processing center includes a reaction rate analysis unit, a fault analysis unit, a liquid level analysis unit and a density analysis unit, which are used to process and analyze the Internet of Things information text to obtain the Internet of Things data analysis text;

[0011] The IoT data analysis text includes the regulation power of the temperature regulation system t. Opening degree of pressure relief valve , reaction rate , Target product content , SVM model output y, calculate the liquid level deviation value And the density deviation ;

[0012] The judgment module includes a fault judgment unit, a liquid level judgment unit, a reaction rate judgment unit, a density judgment unit and a target product content judgment unit, which are used to judge the IoT data analysis text according to a preset value and a preset judgment logic;

[0013] The control module is used to control the execution device to execute the judgment result of the judgment module;

[0014] The database is used to store all information texts of an industrial automation control system based on the Internet of Things.

[0015] Technical effects and advantages of the present invention:

[0016] The present invention uses pressure and temperature composite sensors, multi-axis vibration sensors, component spectrum analysis sensors and liquid level and density combination sensors to comprehensively collect multi-dimensional parameters of the reactor to break the data island, and integrates multi-dimensional data through Internet of Things information text to provide comprehensive data support for reaction rate analysis, fault diagnosis and process optimization;

[0017] The data processing center of the present invention includes a reaction rate analysis unit, a fault analysis unit, a liquid level analysis unit and a density analysis unit, and has a strong data processing capability. The reaction rate analysis unit accurately calculates the regulating power of the temperature regulating system and the opening of the pressure relief valve based on the proportional-integral-differential control algorithm, combined with the preset values ​​of temperature and pressure and the actual collected values, so as to achieve accurate control of the reaction rate and ensure efficient and stable reaction. The fault analysis unit constructs a feature vector set including vibration acceleration and frequency components by normalizing the historical vibration data, dividing the training set and the test set, and uses the SVM model of the radial basis kernel function to predict faults. After cross-validation and optimization of the model parameters, it can accurately judge the operating status of the equipment, discover potential faults in advance, and effectively avoid production interruptions and manual misjudgments.

[0018] The judgment module of the present invention makes a comprehensive judgment on the IoT data analysis text according to the preset value and detailed judgment logic. In terms of liquid level control, according to the liquid level deviation value, when the deviation is greater than 0, the feed amount is increased, when it is less than 0, the feed is stopped and the material is discharged when necessary, so that the liquid level is kept within a reasonable range. For density control, the feed amount of the solute or solvent is reasonably adjusted according to the density deviation value. When the content of the target product is lower than the set standard, the production is suspended and a comprehensive manual overhaul is carried out to ensure product quality. The control module accurately controls the execution equipment such as the temperature regulating equipment, the feed inlet valve, the discharge outlet valve, and the pressure relief valve according to the judgment result to ensure the stability and efficiency of the production process and improve product quality and production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0020] Figure 2 It is a schematic diagram of the proportional-integral-differential control algorithm of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] As attached Figure 1 An industrial automation control system based on the Internet of Things shown includes an industrial control information acquisition terminal, a communication module, a data processing center, a judgment module, a control module and a database;

[0023] The industrial control information acquisition terminal includes a pressure and temperature composite sensor, a multi-axis vibration sensor, a component spectrum analysis sensor, and a liquid level and density combination sensor, which are used to collect reactor data in real time to obtain IoT information text;

[0024] It should be specifically stated that the deployment method of the pressure and temperature composite sensor is as follows: a hole is opened in the middle position on the top of the reactor, and the pressure and temperature composite sensor is vertically inserted into the reactor to ensure that the measuring end of the sensor is located in the middle of the reaction material. This can avoid the temperature and pressure measurement deviation caused by being close to the reactor wall, and at the same time, the overall pressure and temperature of the reaction material can be obtained more accurately;

[0025] It should be further explained that when deploying the pressure and temperature composite sensor, a special sealing installation kit is used to ensure that the sensor is tightly connected to the reactor and well sealed to prevent material leakage and the entry of external impurities. The installation kit should have a certain strength and corrosion resistance to adapt to the chemical production environment. At the same time, a protective sleeve is installed on the outside of the sensor to prevent the sensor from being damaged by collision during installation and daily use.

[0026] The deployment method of the multi-axis vibration sensor is as follows: the multi-axis vibration sensor is respectively installed on the stirring motor base of the reactor and the connection between the stirring shaft and the reactor body. When installing on the stirring motor base, four corner positions of the base are selected and the sensor is firmly fixed with bolts. At the connection between the stirring shaft and the reactor body, the sensor is installed on the side of the connecting flange, and a special installation fixture is used to ensure that the sensor is tightly fitted to the connection part, so that the vibration signal can be accurately sensed;

[0027] It needs to be further explained that for the sensor on the stirring motor base, the installation position needs to be cleaned and polished before installation to ensure good contact between the sensor and the base to accurately transmit the vibration signal. When installing the sensor at the connection between the stirring shaft and the kettle body, be careful to avoid rotating parts to prevent the sensor from being damaged. At the same time, the sensor wiring should be properly protected to avoid loosening or damage due to vibration of the stirring equipment.

[0028] The specific deployment method of the component spectrum analysis sensor is as follows: on the discharge pipe and feed pipe of the reactor, a straight pipe section is selected to install the component spectrum analysis sensor, ensuring that the detection window of the sensor is in full contact with the material in the pipe, and the installation position should be close to the discharge port of the reactor, so that the component information of the material after the reaction can be obtained more timely. At the same time, the component spectrum analysis sensor is arranged in the middle of the reaction material in the reactor to measure the composition and concentration of the reactants;

[0029] It should be further explained that when deploying the spectral analysis sensor, a bypass installation method is adopted, a branch pipe is connected to the discharge pipe, and the component spectral analysis sensor is installed in the branch pipe. The diameter of the branch pipe should match the interface size of the sensor, and a valve is installed on the branch pipe so that the material flow can be cut off in case of sensor maintenance or failure.

[0030] The deployment method of the liquid level and density combination sensor is as follows: the liquid level and density combination sensor is installed on the side of the reactor near the bottom. The installation height of the sensor should ensure that it can cover the range from the lowest liquid level to the highest liquid level of the material in the reactor. At the same time, it should be avoided to install it in the corner of the reactor or near the position where the stirring blade is too violently disturbed, so as not to affect the measurement accuracy;

[0031] It should be further explained that the sensor is fixed on the reactor wall by welding or flange connection. Before installation, the installation position of the reactor wall is pre-treated to ensure the flatness and cleanliness of the installation position. After installation, the sensor is calibrated to ensure the accuracy of liquid level and density measurement. At the same time, a protective device is set around the sensor to prevent material impact from damaging the sensor.

[0032] The IoT information text includes pressure parameters, temperature parameters, vibration acceleration parameters, vibration frequency parameters, material composition parameters, liquid level parameters and density parameters;

[0033] Specifically, the pressure parameter and temperature parameter refer to: Temperature at all times pressure ,as well as + Temperature at all times pressure , calculated = , = ,by , As the temperature parameter output at the current moment and pressure parameters;

[0034] The vibration acceleration parameter refers to the vibration acceleration in the three orthogonal directions of the x-axis, y-axis and z-axis measured by establishing a three-dimensional coordinate system of x, y and z at the installation position of the multi-axis vibration sensor. , , ;

[0035] The vibration frequency parameter refers to the frequency component of the vibration signal , ,……, ;

[0036] The material composition parameters include the target product content when the reactor is discharged , reactant concentration , Refers to the reactants involved in the reaction;

[0037] The liquid level parameter refers to the current solution level in the reactor ;

[0038] The density parameter is the current solution density in the reactor. .

[0039] The communication module includes a wireless communication network unit, a wired communication network unit and a protocol conversion unit, which are used to support multiple communication protocols and interfaces to achieve data interaction, remote control and system integration;

[0040] It should be specifically noted that the wireless communication network unit adopts a wireless communication method combining Wi-Fi and LoRa. Wi-Fi is used for short-distance, high-bandwidth data transmission between equipment and control systems in the workshop, such as high-definition video monitoring data and a large number of equipment operation parameter transmissions with high real-time requirements. LoRa is suitable for long-distance, low-power sensor node communication, such as environmental sensor data transmission distributed over a large area in the factory. Its long-distance transmission characteristics reduce the deployment of relay equipment, reduce costs and improve communication stability.

[0041] The wired communication network unit includes: Industrial Ethernet: supports high-speed data transmission such as Profinet and EtherNet / IP, suitable for real-time control scenarios; serial communication: such as RS-485 and RS-232, commonly used in traditional protocols such as Modbus; field bus: such as CAN and Profibus, used for device-level communication.

[0042] The protocol conversion unit is used to realize the conversion between different protocols, such as Modbus to Profinet, to solve the compatibility problem of heterogeneous systems.

[0043] The data processing center includes a reaction rate analysis unit, a fault analysis unit, a liquid level analysis unit and a density analysis unit, which are used to process and analyze the Internet of Things information text to obtain the Internet of Things data analysis text;

[0044] The analysis method of the reaction rate analysis unit is as follows:

[0045] Assume the reaction is aA+bB cC+dD, its reaction rate = ,in is the pre-exponential factor, is the activation energy, is the gas constant, is the temperature measured by the pressure and temperature composite sensor, e is the constant e, , is a constant, which is used to modify the model based on the experimental determination of the specific reaction so that the model can more accurately reflect the rate change of the specific reaction under different conditions. and are the concentrations of reactants A and B respectively. For gas phase reactions, the concentrations can be expressed as = , = ,in and is the partial pressure of reactants A and B, which can be calculated from the total pressure and the mole fraction of each component. The total pressure is measured by a pressure and temperature composite sensor. Therefore, based on the reaction rate equation, it can be seen that the change in temperature T will be affected by the exponential term The reaction rate r has a significant impact. For gas phase reactions, in addition to temperature T, pressure and reactant concentration are related to the ideal gas state equation. associated, thus affecting the reaction rate;

[0046] Based on the above logic, the reaction rate analysis unit determines the temperature preset value, the pressure preset value and the currently collected temperature parameters according to the judgment module. , pressure parameters The comparison results of the current collected temperature parameters , pressure parameters The proportional-integral-differential control algorithm is used to analyze and obtain the regulating power of the temperature control system and the opening of the pressure relief valve ;

[0047] The proportional-integral-derivative control algorithm is:

[0048] ;

[0049] ;

[0050] in, = , = , t refers to the time variable, , , Power The proportional, integral and differential coefficients of , , are the opening of the pressure relief valve The proportional, integral and differential coefficients of

[0051] The above temperature parameters , pressure parameters The effect of using proportional-integral-differential control algorithm for control is shown in Figure 2 As shown;

[0052] It needs to be further explained that , , Determined through engineering experience and experimental debugging, first, according to the characteristics of the reaction system and control requirements, a set of coefficient values ​​are preliminarily set, and then, during the actual operation, the effect of temperature control is observed, such as temperature response speed, overshoot, steady-state error, etc. If the temperature response is too slow, it can be appropriately increased. ; If the overshoot is too large, reduce And appropriately increase ; If there is a steady-state error, increase Through repeated debugging, a set of coefficient values ​​that can achieve the best temperature control effect can be found. Some advanced parameter setting methods can also be used, such as the Ziegler-Nichols method and the Cohen-Coon method. These methods perform specific tests on the system and calculate the appropriate PID parameter values ​​based on the test results. , , How to obtain , , Similar embodiments are not described in detail herein.

[0053] The analysis method of the fault analysis unit is specifically as follows:

[0054] The vibration acceleration data and frequency data are obtained from the historical data, and the obtained data are normalized to map the data to the [0,1] interval. The pre-processed data are divided into a training set and a test set according to a ratio of 70%-30%. The feature vector set Q=[ , , , , ,……, ],in, , , represents the vibration acceleration in three orthogonal directions, , ,……, For different frequency components, the normal or faulty equipment operation status corresponding to the eigenvector containing vibration acceleration and frequency components is used as a label, and the radial basis kernel function is selected as the kernel function of the SMV model. The formula of the radial basis kernel function is: = ,in, and are two eigenvectors, is the kernel function parameter, which needs to be optimized through cross-validation method, and the penalty parameter C and kernel function parameter are pre-set. The value range and step size of , traverse all possible parameter combinations within this range, use 5-fold cross validation to evaluate the accuracy, recall rate, and F1 value of the model on the test set under each parameter combination, and select the parameter combination with the best performance as the parameters of the final model;

[0055] It should be noted that the penalty parameter C and the kernel function parameter The value range and step size of are adaptively selected according to the requirements, and are not specifically limited in this embodiment;

[0056] After normalizing the vibration acceleration parameters and vibration frequency parameters in the IoT information text, they are extracted into new feature vectors , the feature vector Input the trained SVM model for testing to obtain the model output y;

[0057] The analysis method of the liquid level analysis unit is as follows: the liquid level deviation value is calculated according to the set liquid level value and the current solution level in the IoT information text. ;

[0058] The analysis method of the density analysis unit is as follows: Calculate the density deviation value according to the set density value and the current solution level in the IoT information text ;

[0059] The IoT data analysis text includes the regulation power of the temperature regulation system , opening of the pressure relief valve , reaction rate , Target product content , SVM model output y, calculate the liquid level deviation value And the density deviation ;

[0060] The judgment module includes a fault judgment unit, a liquid level judgment unit, a reaction rate judgment unit, a density judgment unit and a target product content judgment unit, which are used to judge the IoT data analysis text according to a preset value and a preset judgment logic;

[0061] The preset values ​​include fault judgment preset values, liquid level judgment preset range values, temperature judgment preset values, pressure judgment preset values, density judgment preset values ​​and target product content judgment preset values;

[0062] Specifically, the judgment logic is as follows:

[0063] At the initial start-up and throughout the operation of the reactor, the vibration data is input into the SVM model in real time. The model outputs y. When y=−1, an alarm is immediately issued, indicating that the equipment is in a fault state and production is suspended. After confirming that the equipment is fault-free, the liquid level height is continuously monitored and the liquid level deviation value is calculated. Determine the current liquid level status. >0 indicates that the reaction material is insufficient, which affects the reaction. At this time, the feed amount needs to be increased and the feed valve opening needs to be adjusted until =0, when <0, indicating that there is a risk of overflow, the feeding should be stopped and some materials should be discharged until =0, and check whether the liquid level control system is working properly; after the liquid level is in the normal range, the temperature judgment preset value, the pressure judgment preset value and the currently collected temperature parameter are compared. , pressure parameters Compare and output the comparison results to the reaction rate analysis unit to obtain the regulation power of the temperature regulation system t and the opening of the pressure relief valve Used to control the reaction rate. The specific control method is When t is positive t is the power of the heating equipment. When t is negative t is the cooling equipment power, when When t=0, the temperature regulating device is closed. When the calculated opening of the pressure relief valve is When it is negative, pressurize it through the pressurizing device. =0; after the reaction temperature and pressure are within a reasonable range, determine the current solution density ,when >0 indicates that the solute concentration is low. On the premise of meeting the process requirements, increase the solute feed amount until =0, when <0, indicating that there is too much solute, increase the solvent feed until =0, after the density is within the normal range, the target product content With the set quality standards For comparison, when < When the production is stopped, all production links will be manually inspected and repaired;

[0064] The control module is used to control the execution device to execute the judgment result of the judgment module;

[0065] It should be specifically noted that the execution equipment includes control equipment such as a temperature regulating device, a feed inlet valve controller, a discharge outlet valve controller, and a pressure relief valve controller, and the specific models are not specifically limited in this embodiment;

[0066] The database is used to store all information texts of an industrial automation control system based on the Internet of Things;

[0067] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0068] Finally: 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 in the protection scope of the present invention.

Claims

1. An industrial automation control system based on the Internet of Things, characterized in that: include: Industrial control information acquisition terminal, communication module, data processing center, judgment module, control module and database; The industrial control information acquisition terminal includes a pressure and temperature composite sensor, a multi-axis vibration sensor, a component spectrum analysis sensor, and a liquid level and density combination sensor, which are used to collect reactor data in real time to obtain IoT information text; The IoT information text includes pressure parameters, temperature parameters, vibration acceleration parameters, vibration frequency parameters, material composition parameters, liquid level parameters and density parameters; The communication module includes a wireless communication network unit, a wired communication network unit and a protocol conversion unit, which are used to support multiple communication protocols and interfaces to achieve data interaction, remote control and system integration; The data processing center includes a reaction rate analysis unit, a fault analysis unit, a liquid level analysis unit and a density analysis unit, which are used to process and analyze the Internet of Things information text to obtain the Internet of Things data analysis text; The IoT data analysis text includes the regulation power of the temperature regulation system t. Opening degree of pressure relief valve , reaction rate , Target product content , SVM model output y, calculate the liquid level deviation value And the density deviation ; The judgment module includes a fault judgment unit, a liquid level judgment unit, a reaction rate judgment unit, a density judgment unit and a target product content judgment unit, which are used to judge the IoT data analysis text according to a preset value and a preset judgment logic; The control module is used to control the execution device to execute the judgment result of the judgment module; The database is used to store all information texts of an industrial automation control system based on the Internet of Things.

2. The industrial automation control system based on the Internet of Things according to claim 1, characterized in that: The pressure parameters and temperature parameters are collected Temperature at all times pressure ,as well as Temperature at +Δt pressure , calculated = , = ,by , Temperature and pressure parameters output as the current moment; The vibration acceleration parameter refers to the vibration acceleration in the three orthogonal directions of the x-axis, y-axis and z-axis measured by establishing a three-dimensional coordinate system of x, y and z at the installation position of the multi-axis vibration sensor. , , ; The vibration frequency parameter refers to the frequency component of the vibration signal , ,……, ; The material composition parameters include the target product content when the reactor is discharged , reactant concentration , Refers to the reactants involved in the reaction; The liquid level parameter refers to the current solution level in the reactor ; The density parameter is the current solution density in the reactor. .

3. The industrial automation control system based on the Internet of Things according to claim 1, characterized in that: The analysis method of the reaction rate analysis unit is as follows: The reaction rate analysis unit determines the temperature preset value, the pressure preset value and the currently collected temperature parameters according to the judgment module. , pressure parameters The comparison results of the current collected temperature parameters , pressure parameters The proportional-integral-differential control algorithm is used to analyze and obtain the regulating power of the temperature control system and the opening of the pressure relief valve ; The proportional-integral-derivative control algorithm is: ； ； in, = , = , t refers to the time variable, , , Power The proportional, integral and differential coefficients of , , are the opening of the pressure relief valve The proportional coefficient, integral coefficient and differential coefficient of .

4. The industrial automation control system based on the Internet of Things according to claim 1 is characterized in that: The analysis method of the fault analysis unit is specifically as follows: The vibration acceleration data and frequency data are obtained from the historical data, and the obtained data are normalized to map the data to the [0,1] interval. The pre-processed data are divided into a training set and a test set according to a ratio of 70%-30%. The feature vector set Q=[ , , , , ,……, ],in, , , represents the vibration acceleration in three orthogonal directions, , ,……, For different frequency components, the normal or faulty equipment operation status corresponding to the eigenvector containing vibration acceleration and frequency components is used as a label, and the radial basis kernel function is selected as the kernel function of the SMV model. The formula of the radial basis kernel function is: = ,in, and are two eigenvectors, is the kernel function parameter, which needs to be optimized through cross-validation method, and the penalty parameter C and kernel function parameter are pre-set. The value range and step size of , traverse all possible parameter combinations within this range, use 5-fold cross validation to evaluate the accuracy, recall rate, and F1 value of the model on the test set under each parameter combination, and select the parameter combination with the best performance as the parameters of the final model; After normalizing the vibration acceleration parameters and vibration frequency parameters in the IoT information text, they are extracted into new feature vectors , the feature vector Input the trained SVM model for testing to obtain the model output y.

5. The industrial automation control system based on the Internet of Things according to claim 1, characterized in that: The analysis method of the liquid level analysis unit is as follows: the liquid level deviation value is calculated according to the set liquid level value and the current solution level in the IoT information text. .

6. The industrial automation control system based on the Internet of Things according to claim 1, characterized in that: The analysis method of the density analysis unit is as follows: Calculate the density deviation value according to the set density value and the current solution level in the IoT information text .

7. The industrial automation control system based on the Internet of Things according to claim 1, characterized in that: The judgment logic is as follows: At the initial start-up and throughout the operation of the reactor, the vibration data is input into the SVM model in real time. The model outputs y. When y=−1, an alarm is immediately issued, indicating that the equipment is in a fault state and production is suspended. After confirming that the equipment is fault-free, the liquid level height is continuously monitored and the liquid level deviation value is calculated. Determine the current liquid level status. >0 indicates that the reaction material is insufficient, which affects the reaction. At this time, the feed amount needs to be increased and the feed valve opening needs to be adjusted until =0, when <0, indicating that there is a risk of overflow, the feeding should be stopped and some materials should be discharged until =0, and check whether the liquid level control system works normally; After the liquid level is within the normal range, the temperature judgment preset value, pressure judgment preset value and the currently collected temperature parameter are combined. , pressure parameters Compare and output the comparison results to the reaction rate analysis unit to obtain the regulation power of the temperature regulation system and the opening of the pressure relief valve Used to control the reaction rate. The specific control method is When positive is the power of the heating equipment, when When negative t is the cooling equipment power, when When t=0, the temperature regulating device is closed. When the calculated opening of the pressure relief valve is When it is negative, pressurize it through the pressurizing device. =0; after the reaction temperature and pressure are within a reasonable range, determine the current solution density ,when >0 indicates that the solute concentration is low. On the premise of meeting the process requirements, increase the solute feed amount until =0, when <0, indicating that there is too much solute, increase the solvent feed until =0, after the density is within the normal range, the target product content With the set quality standards For comparison, when < When the production is suspended, all production links will be manually inspected and repaired.

Images