Control method and system of PTT production process, terminal and storage medium

Abstract

The invention relates to a PTT production process control method and system, a terminal and a storage medium, and relates to the technical field of chemical production control, and the method comprises the steps: obtaining multi-dimensional data of each system in a PTT production line, the multi-dimensional data comprising liquid level data, temperature data and pressure data; in response to the situation that the target multi-dimensional data of the target system does not meet the preset multi-dimensional data standard, obtaining target sensing equipment corresponding to the target multi-dimensional data; generating a processing scheme according to the target sensing equipment; displaying a system schematic diagram of the target system on the user interface, wherein the system schematic diagram comprises schematic diagrams of devices in the target system and multi-dimensional data corresponding to the devices; highlighting the target multi-dimensional data and the target equipment on the user interface; displaying the processing scheme in the peripheral area of the target equipment on the user interface; and in response to a confirmation operation on the processing scheme, executing the processing scheme. The method and the device have the effect of quickly positioning problems occurring in the PTT production process link.

Description

Technical Field

[0001] This application relates to the technical field of chemical production control, and particularly relates to a control method, system, intelligent terminal and storage medium for PTT production process. Background Art

[0002] PTT (trimethyl terephthalate) is a synthetic polyester with good mechanical properties, heat resistance, chemical resistance, and excellent tensile strength and wear resistance. PTT is usually used to manufacture fibers, films, and some plastic products.

[0003] In the related art, when manufacturing PTT materials, it is necessary to go through six process steps: batching, esterification, prepolymerization, polycondensation, pelletizing and cooling, and slice packaging. In each process step, various parameters are monitored to ensure that the parameters are within the preset range, so that the reactions in each process step can proceed normally.

[0004] In view of the above related art, when problems occur in the PTT process, it is necessary to manually judge the link where the problem occurs and the type of the problem, resulting in difficulty in dealing with the problem in a short time, which will affect the entire process flow and even the quality of the PTT finished product. Summary of the Invention

[0005] In order to quickly locate the problems that occur in the PTT production process, this application provides a control method, system, terminal and storage medium for PTT production process.

[0006] In the first aspect, this application provides a control method for PTT production process, adopting the following technical solution: A control method for PTT production process includes: Obtaining multi-dimensional data of each system in the PTT production line, where the multi-dimensional data includes liquid level data, temperature data and pressure data, and the PTT production line includes a raw material system, an esterification reaction system, a prepolymerization reaction system, a polycondensation final kettle reaction system, a pelletizing and cooling system, and a slice packaging system; In response to the target multi-dimensional data of the target system not meeting the preset multi-dimensional data standard, obtaining the target sensing device corresponding to the target multi-dimensional data; Generating a processing plan according to the target sensing device; Displaying a system schematic diagram of the target system on the user interface, where the system schematic diagram includes schematic diagrams of each device in the target system and multi-dimensional data corresponding to the devices; Highlighting the target multi-dimensional data and the target device on the user interface; Displaying the processing plan in the peripheral area of the target device on the user interface; In response to a confirmation operation for the processing solution, execute the processing solution.

[0007] By adopting the above technical solution, using the multi-dimensional data of each system in the PTT production line, determine that there is a problem with the target system, and locate the problem through the target instrument and equipment and give a processing solution. After receiving the confirmation operation, execute the processing solution. Through this technical solution, the problems existing in the PTT production line can be quickly located, and a processing solution can be given, and the problems in the PTT production line can be processed in a timely manner. Moreover, the target system where the problem is located and the processing solution will be visually represented, which is convenient for technicians to quickly master the on-site situation and facilitate technicians to handle problems and collect problems.

[0008] Optionally, determine a set of sensing devices corresponding to the target sensing device, where the types of sensing devices in the set of sensing devices are the same as the type of the target sensing device, and the sensing devices in the set of sensing devices and the target sensing device are used to detect data in the same area; Obtain the multi-dimensional data of each sensing device in the set of sensing devices to obtain a multi-dimensional data set; Perform weighted calculation on the multi-dimensional data set to obtain weighted multi-dimensional data; Generate the processing solution according to the weighted multi-dimensional data and the preset multi-dimensional data standard.

[0009] By adopting the above technical solution, the processing solution is obtained through weighted multi-dimensional data, and the weighted multi-dimensional data is in turn obtained from the multi-dimensional data of each sensing device in the target system. Since the weighted multi-dimensional data can more accurately reflect the actual situation in the target system, the processing solution obtained from the multi-dimensional data set can handle the actual problems existing in the target system.

[0010] Optionally, when the target multi-dimensional data belongs to temperature data and the target multi-dimensional data comes from the prepolymerization reaction system, obtain the multi-dimensional data set based on all the temperature data in the target system; Obtain the side wall temperature distribution of the target system according to the multi-dimensional data set; Determine a target point in the target system and determine the shortest distance from the target point to the side wall of the target system; Obtain a basic temperature difference according to the shortest distance; Correct the basic temperature difference according to a preset correction coefficient and a preset reaction temperature difference to obtain a corrected temperature difference; Calculate the predicted temperature of the target point according to the side wall temperature distribution and the corrected temperature difference to obtain the internal temperature distribution of the target system; Update the weighted multi-dimensional data according to the internal temperature distribution.

[0011] By adopting the above technical solution, the internal temperature distribution of the target system is predicted using the sidewall temperature distribution, and the weighted multi-dimensional data is updated using the internal temperature distribution, making the weighted multi-dimensional data closer to the actual situation of the target system. The processing solution obtained from the weighted multi-dimensional data is more in line with the on-site situation, improving the feasibility of the processing solution.

[0012] Optionally, obtain the overall temperature distribution of the target system according to the sidewall temperature distribution and the internal temperature distribution; Determine a high-temperature region from the overall temperature distribution, where the temperature in the high-temperature region is greater than a preset temperature threshold; Set the stirring height according to the high-temperature region, where the stirring height is consistent with the height of the high-temperature region in the target system; Set the stirring speed according to the high-temperature region, where the stirring speed is related to the temperature in the high-temperature region; Generate a stirring instruction according to the stirring height and the stirring speed, where the stirring instruction is used to instruct the stirring blades in the target system to work.

[0013] By adopting the above technical solution, after obtaining the overall temperature distribution of the target system using the sidewall temperature distribution and the internal temperature distribution, the stirring height and the stirring speed are set based on the overall temperature distribution, and a stirring instruction is further generated. This technical solution enables the stirring blades to be adjusted according to the actual situation of the target system, quickly reducing the internal temperature and preventing impurities from appearing due to excessive temperature.

[0014] Optionally, obtain the historical liquid level data of the target level gauge in the target system during a historical period; When the historical liquid level data satisfies periodicity, obtain the overall viscosity of the PTT raw material according to the overall temperature distribution; Calculate a liquid level influence factor based on the stirring height and the stirring speed; Obtain a theoretical liquid level deviation according to the overall viscosity and the liquid level influence factor; Take the liquid level data within a unit period of the historical liquid level data to obtain periodic liquid level data; When the theoretical liquid level deviation does not match the periodic liquid level data, mark the target level gauge as in a temporary fault state.

[0015] By adopting the above technical solution, during the stirring process, it is judged whether the liquid level gauge fails according to the theoretical liquid level deviation and the periodic liquid level data. This technical solution can determine the liquid level gauges that may have failures, making the multi-dimensional data more accurate to ensure the feasibility of the processing solution.

[0016] Optionally, count the number of instruments of the liquid level gauges in the target system that are in the temporary failure state; When the number of instruments is greater than a preset number threshold, calculate the actual liquid level deviation value of the theoretical liquid level deviation and the periodic liquid level data; Obtain the average duration of the liquid level gauge in the temporary failure state; Based on the actual liquid level deviation value and the average duration, obtain the material consumption volume; Set the overflow area according to the material consumption volume; Update the overall temperature distribution according to the overflow area.

[0017] By adopting the above technical solution, when the number of liquid level gauges in the temporary failure state is greater than the preset number threshold, the actual liquid level deviation value of the theoretical liquid level deviation and the periodic liquid level data will be calculated, and the overflow area in the target system will be predicted based on the actual liquid level deviation value. The overall temperature distribution is updated through the overflow area, making the multi-dimensional data more accurate to improve the feasibility of the processing solution.

[0018] Optionally, when the change amount of the liquid level data of the target liquid level gauge within a preset duration is less than the change amount threshold, obtain the instrument position of the target liquid level gauge in the target system; Starting from the instrument position, in the opposite direction of the stirring direction of the stirring blade, determine a target position on the horizontal plane, and the included angle between the target position and the instrument position is a preset included angle; Generate an additional stirring instruction according to the target position, and the additional stirring instruction is used to instruct the stirring blade to increase the stirring speed to the target stirring speed when reaching the target position.

[0019] By adopting the above technical solution, for the situation where the change amount of the liquid level data of the target liquid level gauge within a preset duration is less than the change amount threshold, an additional stirring instruction will be generated, so that the stirring blade will increase the stirring speed to the target stirring speed when reaching the target position, thereby realizing the cleaning of the target liquid level gauge and ensuring the accuracy of the reading of the target liquid level gauge.

[0020] In the second aspect, the present application provides a control system for a PTT production process, adopting the following technical solution: A control system for a PTT production process, comprising: An acquisition module for acquiring multi-dimensional data and confirmation operations; A memory for storing the control method of the PTT production process; A processor, and the program in the memory can be loaded and executed by the processor to implement the control method of the PTT production process.

[0021] By adopting the above technical solution, multi-dimensional data of each system in the PTT production line is utilized to determine that there is a problem with the target system, and the problem is located through the target instrument and equipment and a processing solution is given. After receiving the confirmation operation, the processing solution is executed. Through this technical solution, the problems existing in the PTT production line can be quickly located, a processing solution can be given, and the problems in the PTT production line can be processed in a timely manner. Moreover, the target system where the problem is located and the processing solution will be visually represented, which is convenient for technicians to quickly master the on-site situation and facilitate technicians to handle problems and collect problems.

[0022] In a third aspect, the present application provides an intelligent terminal, adopting the following technical solution: An intelligent terminal includes a memory and a processor, and a computer program capable of being loaded and executed by the processor and implementing any one of the above methods is stored on the memory.

[0023] In a fourth aspect, the present application provides a computer storage medium, which can store corresponding programs and has the characteristic of facilitating the rapid location of problems occurring in the PTT production process, adopting the following technical solution: A computer-readable storage medium stores a computer program capable of being loaded and executed by the processor and implementing any one of the control methods of the above PTT production process.

[0024] In summary, the present application includes at least one of the following beneficial technical effects: 1. By using the multi-dimensional data of each system in the PTT production line, it is determined that there is a problem with the target system, and the problem is located through the target instrument and equipment and a processing solution is given. After receiving the confirmation operation, the processing solution is executed. Through this technical solution, the problems existing in the PTT production line can be quickly located, a processing solution can be given, and the problems in the PTT production line can be processed in a timely manner. Moreover, the target system where the problem is located and the processing solution will be visually represented, which is convenient for technicians to quickly master the on-site situation and facilitate technicians to handle problems and collect problems; 2. The processing solution is obtained by weighting multi-dimensional data, and the weighted multi-dimensional data is obtained from the multi-dimensional data of each sensing device in the target system. Since the weighted multi-dimensional data can more accurately reflect the actual situation within the target system, the processing solution obtained from the multi-dimensional data set can handle the actual problems existing in the target system; 3. Predict the internal temperature distribution of the target system using the sidewall temperature distribution, and update the weighted multi-dimensional data with the internal temperature distribution, making the weighted multi-dimensional data closer to the actual situation of the target system. The processing solution obtained from the weighted multi-dimensional data is more in line with the on-site situation, improving the feasibility of the processing solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 is a schematic flow chart of a control method for a PTT production process provided by an embodiment of the present application.

[0026] Figure 2 is a schematic diagram of a user interface provided by an embodiment of the present application.

[0027] Figure 3 is a schematic flow chart of a method for generating a processing solution provided by an embodiment of the present application.

[0028] Figure 4 is a schematic flow chart of a method for updating weighted multi-dimensional data provided by an embodiment of the present application.

[0029] Figure 5 is a schematic flow chart of a stirring method for a prepolymerization reaction system provided by an embodiment of the present application.

[0030] Figure 6 is a schematic flow chart of a method for judging the state of a liquid level gauge provided by an embodiment of the present application.

[0031] Figure 7 is a schematic flow chart of a method for updating the overall temperature distribution provided by an embodiment of the present application.

[0032] Figure 8 is a schematic flow chart of a method for updating a stirring instruction provided by an embodiment of the present application.

[0033] Figure 9 is a schematic diagram of a PTT production process provided by an embodiment of the present application.

[0034] Figure 10 is a schematic structural diagram of a control system for a PTT production process provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0035] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the following further describes the present application in detail with reference to the appended Figure 1 to the appended Figure 10 and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0036] An embodiment of the present application discloses a control method for a PTT production process. Refer to Figure 1 , the method includes: Step S101: Obtain multi-dimensional data of each system in the PTT production line. The multi-dimensional data includes liquid level data, temperature data, and pressure data. The PTT production line includes a raw material system, an esterification reaction system, a prepolymerization reaction system, a final polymerization kettle reaction system, a pelletizing and cooling system, and a slice packaging system.

[0037] The PTT production line is an industrial production line for producing PTT materials. Among them, the raw material system is used to adjust the proportion of raw materials input into production, the esterification reaction system is used to promote the esterification reaction of raw materials, the prepolymerization reaction system is used to form prepolymers, the final polymerization kettle reaction system is used to polymerize prepolymers to generate PTT, the pelletizing and cooling system is used to cut PTT materials into granular form, and the slice packaging system is used to package granular PTT materials. For example, the raw material system is used to adjust the proportion of PTA (terephthalic acid) and PDO (1,3-propanediol) so that the proportion of the two reaches a preset proportion, and the PTA and PDO in the raw material system are sent to the esterification reaction system. In the esterification reaction system, PTA and PDO are esterified to generate BHPT (propylene glycol terephthalate monomer) and water. In the prepolymerization reaction system, BHPT will be preliminarily polymerized into oligomers to prepare for subsequent polycondensation. The oligomers entering the final polymerization kettle reaction system will be further polymerized to form PTT materials. Finally, the PTT materials are cut into granular form by the pelletizing and cooling system to obtain PTT particles, and the PTT particles are packaged using the slice packaging system.

[0038] The multi-dimensional data comes from each system in the PTT production line. The multi-dimensional data also includes a data source identifier, and the data source identifier is used to represent the system that generates the multi-dimensional data. Further, the data source identifier is also used to represent the type of multi-dimensional data. For example, the data source identifier indicates that the multi-dimensional data is temperature data.

[0039] Exemplarily, the multi-dimensional data is obtained by instruments in each system of the PTT production line. For example, a temperature transmitter is set in the prepolymerization reaction system, and the temperature data detected by the temperature transmitter is one type of the multi-dimensional data.

[0040] Step S102: In response to the target multi-dimensional data of the target system not meeting the preset multi-dimensional data standard, obtain the target sensing device corresponding to the target multi-dimensional data.

[0041] The target system refers to the system where the preset multi-dimensional data standard is not met. The target multi-dimensional data refers to the multi-dimensional data that does not meet the preset multi-dimensional data standard.

[0042] The preset multi-dimensional data standard refers to the value range of multi-dimensional data when each system is operating normally. The preset multi-dimensional data standard can be adjusted by technical personnel according to the reaction situation. Among them, the preset multi-dimensional data standards of different systems are different. After obtaining the multi-dimensional data, the corresponding preset multi-dimensional data standard of the multi-dimensional data will be determined, and it will be judged whether the multi-dimensional data meets the preset multi-dimensional data standard.

[0043] In some embodiments, the preset multi-dimensional data standard adopts the form of a data interval. When the multi-dimensional data falls into the data interval corresponding to the preset multi-dimensional data standard, it is considered that the multi-dimensional data meets the preset multi-dimensional data standard; if the multi-dimensional data does not fall into the data interval corresponding to the preset multi-dimensional data standard, it is considered that the multi-dimensional data does not meet the preset multi-dimensional data standard.

[0044] Exemplarily, the target sensing device is determined through the data source identifier in the multi-dimensional data.

[0045] Step S103: Generate a processing solution according to the target sensing device.

[0046] When the target multi-dimensional data of the target system does not meet the preset multi-dimensional data standard, it indicates that there is a problem inside the target system, and then a processing solution is needed to handle the problem in the target system to ensure the normal operation of the target system.

[0047] Step S104: Display a system schematic diagram of the target system on the user interface. The system schematic diagram includes schematic diagrams of various devices in the target system and the multi-dimensional data corresponding to the devices.

[0048] The control system is connected to each system in the PTT production line. A display screen is set on the control system, and this display screen is used to display the user interface. The user interface is an interface for users to interact and exchange information with the control system.

[0049] Exemplarily, please refer to Figure 2 , a system schematic diagram is displayed on the user interface 200. The system schematic diagram includes the device 201 and the multi-dimensional data 202.

[0050] Step S105: Highlight the target multi-dimensional data and the target device on the user interface.

[0051] Optionally, on the user interface, the display content of the target multi-dimensional data and the target device is displayed in a first color, and the other content is displayed in a second color. The first color and the second color are different.

[0052] Step S106: Display the processing solution in the peripheral area of the target device on the user interface.

[0053] The peripheral area refers to the area on the user interface close to the target device icon, and the distance from the peripheral area to the target device icon.

[0054] Exemplarily, please refer to Figure 2 , and display the processing solution 203 in the area of the user interface 200 close to the device 201.

[0055] Step S107: In response to the confirmation operation on the processing solution, execute the processing solution.

[0056] Optionally, the confirmation operation is a click operation on the processing solution. For example, when the display screen uses a touch screen, if the display screen receives a click operation on the processing solution, it is considered that the confirmation operation on the processing solution is obtained, and the processing solution is executed.

[0057] Optionally, if the confirmation operation on the processing solution is not received within the preset waiting duration, the processing solution is executed. For example, after waiting for 15 seconds and still not receiving the confirmation operation on the processing solution, in order to ensure the normal operation of the target system, the processing solution is directly executed.

[0058] By adopting the above technical solution, using the multi-dimensional data of each system in the PTT production line, it is determined that there is a problem with the target system, and the problem is located through the target instrument and equipment and a processing solution is given. After receiving the confirmation operation, the processing solution is executed. Through this technical solution, the problems existing in the PTT production line can be quickly located, and a processing solution can be given, and the problems in the PTT production line can be processed in a timely manner. Moreover, the target system where the problem is located and the processing solution will be visually represented, which is convenient for technicians to quickly master the on-site situation and facilitates technicians to handle problems and collect problems.

[0059] In the following embodiments, when it is determined that the target multi-dimensional data does not meet the preset multi-dimensional data standard, since the target multi-dimensional data is only obtained by a single sensing device, it is difficult for the target multi-dimensional data to represent the problems existing in the target system. Therefore, the embodiments of the present application disclose a method for generating a processing solution. Refer to Figure 3 , the method includes: Step S301: Determine the set of sensing devices corresponding to the target sensing device. The types of the sensing devices in the set of sensing devices are the same as those of the target sensing device, and the sensing devices in the set of sensing devices are used to detect data in the same area.

[0060] The sensing devices in the set of sensing devices are arranged in the target system. Optionally, the set of sensing devices includes the target sensing device.

[0061] Optionally, when the target sensing device is a liquid level gauge, the sensing devices in the set of sensing devices are liquid level gauges at the same height in the target system. For example, if the target system is a prepolymerization reaction system, the sensing devices in the set of sensing devices are liquid level gauges at the same height in the prepolymerization kettle.

[0062] Optionally, when the target sensing device is a temperature transmitter or a pressure instrument, the distance between the sensing devices in the sensing device set is less than a preset set distance threshold. For example, the sensing devices in the sensing device set are all located in the prepolymerization kettle of the prepolymerization reaction system, and the distance between each sensing device is less than the preset set distance threshold.

[0063] Step S302: Obtain the multi-dimensional data of each sensing device in the sensing device set to obtain a multi-dimensional data set.

[0064] The multi-dimensional data set is a data set composed of the multi-dimensional data detected by each sensing device in the sensing device set. Optionally, the multi-dimensional data in the multi-dimensional data set also includes a data source identifier.

[0065] Step S303: Perform a weighted calculation on the multi-dimensional data set to obtain weighted multi-dimensional data.

[0066] Exemplarily, taking the data type as the standard, classify the multi-dimensional data in the multi-dimensional data set according to the data source identifier to obtain a classification of the multi-dimensional data set, where the multi-dimensional data in each group of the classification of the multi-dimensional data set has the same data type. Perform a weighted calculation on the multi-dimensional data in each group of the classification of the multi-dimensional data set respectively to obtain weighted multi-dimensional data. Among them, the weight value used in the weighted calculation can be a preset value or determined according to the distance value between the sensing device corresponding to the multi-dimensional data and the target sensing device. For example, the weight value is negatively correlated with the distance value between the sensing device corresponding to the multi-dimensional data and the target sensing device.

[0067] Step S304: Generate a processing plan according to the weighted multi-dimensional data and the preset multi-dimensional data standard.

[0068] In the case where the weighted multi-dimensional data corresponds to the liquid level data, if the weighted multi-dimensional data is less than the preset multi-dimensional data standard, start feeding materials into the target system; if the weighted multi-dimensional data is not less than the preset multi-dimensional data standard, stop feeding materials into the target system.

[0069] In the case where the weighted multi-dimensional data corresponds to the temperature data, if the weighted multi-dimensional data is less than the preset multi-dimensional data standard, increase the temperature of the target system; if the weighted multi-dimensional data is not less than the preset multi-dimensional data standard, decrease the temperature of the target system.

[0070] In the case where the weighted multi-dimensional data corresponds to the pressure data, if the weighted multi-dimensional data is less than the preset multi-dimensional data standard, increase the air pressure in the target system; if the weighted multi-dimensional data is not less than the preset multi-dimensional data standard, decrease the air pressure in the target system.

[0071] By adopting the above technical solution, the processing solution is obtained by weighted multidimensional data, and the weighted multidimensional data is obtained by the multidimensional data of each sensor device in the target system. Since the weighted multidimensional data can more accurately reflect the actual situation in the target system, the processing solution obtained from the multidimensional data set can deal with the actual problems existing in the target system.

[0072] If the target multidimensional data is temperature data, in the prepolymerization reaction system, the temperature transmitter is usually set on the side wall of the prepolymerization kettle, and it is difficult to obtain the internal temperature data. However, the prepolymerization reaction of PTT is an exothermic reaction, and the internal temperature may be too high, and the temperature data cannot be reflected. Therefore, the embodiment of the present application discloses a method for updating weighted multidimensional data. Figure 4 , the method comprising: Step S401: when the target multidimensional data is temperature data and the target multidimensional data comes from a prepolymerization reaction system, a multidimensional data set is obtained based on all temperature data in the target system.

[0073] In some other embodiments, the prepolymerization reaction system can also be replaced by a polymerization final reactor reaction system. This is because the condensation reaction of PTT is also an exothermic reaction, and the internal temperature of the polymerization final reactor cannot be determined by temperature data, and the internal temperature may be too high.

[0074] In this embodiment, the multidimensional data set refers to a set consisting of all temperature data of the polycondensation reaction system.

[0075] Step S402: Acquire the side wall temperature distribution of the target system according to the multi-dimensional data set.

[0076] The side wall temperature distribution refers to the spatial temperature distribution of the side wall of the polycondensation reactor.

[0077] Optionally, the side wall position of the sensing device corresponding to the multi-dimensional data in the target system is obtained according to the multi-dimensional data set, and the side wall temperature distribution is formed according to the specific value of the multi-dimensional data and the side wall position.

[0078] Step S403: determining a target point in the target system, and determining the shortest distance from the target point to the side wall of the target system.

[0079] The target point is any point in the target system that is not located on the side wall. The side wall of the target system refers to the inner side wall of the prepolymer reactor.

[0080] Optionally, a vertical line segment is drawn through the target point and perpendicular to the side wall of the target system, and the length of the vertical line segment is calculated to obtain the shortest distance.

[0081] Step S404: Obtain the basic temperature difference according to the shortest distance.

[0082] The basic temperature difference refers to the theoretical difference between the temperature at the target point and the temperature of the side wall.

[0083] Exemplarily, in a preset first mapping relationship library, retrieve the one corresponding to the shortest distance to obtain the basic temperature difference. The first mapping relationship library includes the corresponding relationship between the shortest distance and the basic temperature difference, and the first mapping relationship can be obtained through repeated tests.

[0084] Step S405: Correct the basic temperature difference according to a preset correction coefficient and a preset reaction temperature difference to obtain a corrected temperature difference.

[0085] The preset correction coefficient and the preset reaction temperature difference are used to update the corrected temperature difference. In an actual scenario, due to various errors and contingencies, there will be certain errors in the basic temperature difference. Therefore, it is necessary to use the preset correction coefficient and the preset reaction temperature difference for updating.

[0086] Exemplarily, let the basic temperature difference be a, the preset correction coefficient be α, and the preset reaction temperature difference be ΔT. Then the corrected temperature difference is a·α + ΔT.

[0087] Step S406: Calculate the predicted temperature of the target point according to the side wall temperature distribution and the corrected temperature difference to obtain the internal temperature distribution of the target system.

[0088] Exemplarily, calculate the sum of the side wall temperature distribution and the corrected temperature difference to obtain the predicted temperature of the target point. Statistically analyze the predicted temperatures of each target point inside the target system to obtain the internal temperature distribution of the target system.

[0089] Step S407: Update the weighted multi-dimensional data according to the internal temperature distribution.

[0090] Exemplarily, add the internal temperature distribution to the weighted multi-dimensional data so that the weighted multi-dimensional data includes both the side wall temperature distribution and the internal temperature distribution.

[0091] By adopting the above technical solution, the internal temperature distribution of the target system is predicted using the side wall temperature distribution, and the weighted multi-dimensional data is updated using the internal temperature distribution, making the weighted multi-dimensional data closer to the actual situation of the target system. The processing solution obtained from the weighted multi-dimensional data is more in line with the on-site situation, improving the feasibility of the processing solution.

[0092] In the following embodiments, when a region with a relatively high temperature is detected inside the prepolymerization reaction system, it can be processed by the stirring blades in the prepolymerization reaction system to lower the internal temperature. Therefore, an embodiment of the present application discloses a stirring method for a prepolymerization reaction system. Refer to Figure 5 , this method includes: Step S501: Obtain the overall temperature distribution of the target system according to the sidewall temperature distribution and the internal temperature distribution.

[0093] The overall temperature distribution refers to the temperature distribution composed of the sidewall temperature distribution and the internal temperature distribution of the target system.

[0094] Step S502: Determine the high-temperature region from the overall temperature distribution, where the temperature of the high-temperature region is greater than the preset temperature threshold.

[0095] The volume of the high-temperature region is greater than the preset volume threshold.

[0096] Exemplarily, search for high-temperature points with temperatures greater than the preset temperature threshold in the overall temperature distribution. Perform clustering operations on the high-temperature points to obtain a set of clustered high-temperature points. Perform surface fitting based on the high-temperature points within the set of clustered high-temperature points to obtain a closed region. If the volume of the closed region is greater than the preset volume threshold, then take this closed region as the high-temperature region. If the volume of the closed region is not greater than the preset volume threshold, then discard this closed region.

[0097] Step S503: Set the stirring height according to the high-temperature region, and the stirring height is consistent with the height of the high-temperature region in the target system.

[0098] Optionally, obtain the highest point and the lowest point of the high-temperature region in the vertical direction. Obtain the midpoint between the highest point and the lowest point. Set the stirring height according to the foregoing midpoint.

[0099] Optionally, obtain the high-temperature distribution within the high-temperature region. Calculate the average temperature within the high-temperature region according to the high-temperature distribution. Using the average temperature as the standard, search for the target high-temperature region within the high-temperature region that is greater than the average temperature. Obtain the stirring height according to the geometric center of the target high-temperature region.

[0100] Step S504: Set the stirring speed according to the high-temperature region, and the stirring speed is related to the temperature of the high-temperature region.

[0101] The stirring speed refers to the rotational speed of the stirring blades.

[0102] The stirring height refers to the distance from the stirring blades to the liquid surface.

[0103] Optionally, the stirring speed is related to the average temperature of the high-temperature region. Or, the stirring speed is related to the highest temperature of the high-temperature region. For example, the higher the average temperature of the high-temperature region, the faster the stirring speed. Or, the higher the highest temperature of the high-temperature region, the faster the stirring speed. Among them, the highest temperature of the high-temperature region refers to the maximum value of the temperature within the high-temperature region.

[0104] Step S505: Generate a stirring instruction according to the stirring height and the stirring speed, and the stirring instruction is used to instruct the stirring blades in the target system to work.

[0105] The stirring blade can be moved in the vertical direction in the prepolymerization reaction system to adjust the position of the stirring blade in the target system. For example, after the stirring blade in the prepolymerization reactor is controlled to move to the stirring height, the stirring blade is turned on and rotated according to the stirring speed.

[0106] By adopting the above technical solution, after obtaining the overall temperature distribution of the target system using the side wall temperature distribution and the internal temperature distribution, the stirring height and stirring speed are set based on the overall temperature distribution, and a stirring instruction is further generated. This technical solution allows the stirring blades to be adjusted according to the actual situation of the target system, so that the internal temperature drops quickly and prevents impurities from appearing due to excessive temperature.

[0107] In the prepolymerization reaction system, during the stirring process, the liquid level of the raw material will fluctuate, which will also cause the reading obtained by the liquid level meter to be too large, thereby causing a false alarm. Therefore, the embodiment of the present application discloses a method for determining the state of the liquid level meter. Figure 6 , the method comprising: Step S601: Acquire historical liquid level data of a target liquid level meter in a target system within a historical period.

[0108] The target level gauge is any level gauge in the target system.

[0109] Optionally, the controller of the PTT production line will store the detected multidimensional data in the data space, and when storing the multidimensional data, the multidimensional data and the timestamp will be stored together, so the historical liquid level data within the historical period can be obtained through the timestamp.

[0110] Step S602: When the historical liquid level data meets the periodicity, the overall viscosity of the PTT raw material is obtained according to the overall temperature distribution.

[0111] Overall viscosity is used to describe the viscosity of all PTT raw materials in the target system.

[0112] Exemplarily, the temperature interval in the prepolymerization reaction system is obtained according to the overall temperature distribution. The temperature interval is divided into a plurality of temperature sub-intervals. According to the overall temperature distribution and the temperature sub-intervals, the PTT raw material in the prepolymerization reaction system is regionalized to obtain temperature division areas. The temperatures in the temperature division areas are weighted to obtain weighted temperatures of the temperature division areas, wherein the weight values ​​used in the weighted calculation are positively correlated with the volume occupied by the temperature. The regional viscosity of the temperature division areas is determined according to the weighted temperature, and the regional viscosity is used to represent the viscosity of the entire temperature division area. The regional viscosity of each temperature division area is counted, and the mean is calculated to obtain the overall viscosity.

[0113] Further, a temperature-viscosity comparison table is preset, and the regional viscosity is obtained by retrieving the data corresponding to the temperature in the temperature-viscosity comparison table.

[0114] When judging periodicity, it is only necessary to judge whether the cycle sizes are the same, and it is not strictly required that the amplitudes of the historical liquid level data within each cycle are the same.

[0115] In some other embodiments, when the historical liquid level data does not meet the periodicity, the subsequent steps are not continued. In this case, due to the presence of the stirring blades, the raw materials inside the prepolymerization kettle may flow irregularly, resulting in irregular changes in the liquid level data. At this time, it is not appropriate to judge the state of the target liquid level gauge through the liquid level data.

[0116] Step S603: Calculate the liquid level influence factor based on the stirring height and the stirring speed.

[0117] The liquid level influence factor is used to represent the degree of influence of the stirring blades on the liquid surface of the raw materials.

[0118] In some embodiments, a liquid level influence factor comparison table is preset. The liquid level influence factor is obtained by searching for the data matching the stirring height and the stirring speed in the liquid level influence factor comparison table.

[0119] In some embodiments, let the stirring height be H and the stirring speed be v, then the liquid level influence factor β is , where n and m are constants, and m is negative. g represents the acceleration due to gravity.

[0120] Step S604: Obtain the theoretical liquid level deviation according to the overall viscosity and the liquid level influence factor.

[0121] The theoretical liquid level deviation refers to the height change that occurs to the liquid level in the prepolymerization kettle under theoretical conditions when the liquid in the prepolymerization kettle is stirred.

[0122] Exemplarily, let the overall viscosity be k and the liquid level influence factor be β, then the theoretical liquid level deviation ΔH = kβ + b. Where b is a preset constant.

[0123] Step S605: Take the liquid level data of the historical liquid level data within a unit cycle to obtain the periodic liquid level data.

[0124] The periodic liquid level data refers to the liquid level data obtained by the liquid level gauge within a single cycle.

[0125] Step S606: When the theoretical liquid level deviation does not match the periodic liquid level data, mark the target liquid level gauge as a temporary failure state.

[0126] The temporary failure state is used to indicate that the data of the liquid level gauge is unreliable during the current period.

[0127] Exemplarily, calculate the sum of the theoretical liquid level deviation and the liquid level height before stirring to obtain the maximum theoretical liquid level data. Obtain the maximum value in the periodic liquid level data to get the maximum periodic liquid level data. If the difference between the maximum theoretical liquid level data and the maximum periodic liquid level data is less than a preset difference, it is considered that the theoretical liquid level deviation and the periodic liquid level data match; if the difference between the maximum theoretical liquid level data and the maximum periodic liquid level data is not less than the preset difference, it is considered that the theoretical liquid level deviation and the periodic liquid level data do not match.

[0128] In the case where the theoretical liquid level deviation and the periodic liquid level data match, the target liquid level gauge is marked as the normal state.

[0129] By adopting the above technical solution, during the stirring process, it is judged whether the liquid level gauge fails according to the theoretical liquid level deviation and the periodic liquid level data. This technical solution can determine the liquid level gauge that may have a fault, making the multi-dimensional data more accurate to ensure the feasibility of the processing solution.

[0130] In the following embodiments, when multiple liquid level gauges are in a temporary failure state, on the contrary, it indicates that the data of most liquid level gauges are normal. This situation is usually because some raw materials in the prepolymerization kettle have abnormal boiling, resulting in abnormal overall temperature distribution, which in turn affects the theoretical liquid level deviation. Therefore, the embodiments of the present application disclose an update method for the overall temperature distribution. Refer to Figure 7 , the method includes: Step S701: Count the number of instruments of the liquid level gauges in the temporary failure state in the target system.

[0131] The number of instruments refers to the total number of liquid level gauges in the temporary failure state in the prepolymerization reaction system.

[0132] Step S702: In the case where the number of instruments is greater than a preset number threshold, calculate the actual liquid level deviation value of the theoretical liquid level deviation and the periodic liquid level data.

[0133] The preset number threshold is a preset empirical value, and technicians can adjust the specific value of the preset number threshold according to actual needs.

[0134] Exemplarily, calculate the difference between the theoretical liquid level deviation and the periodic liquid level data to obtain the actual liquid level deviation value.

[0135] Step S703: Obtain the average duration of the liquid level gauge in the temporary failure state.

[0136] Optionally, obtain the first timestamp when the current liquid level gauge generates a temporary failure state and the second timestamp corresponding to the current moment. Calculate the difference between the first timestamp and the second timestamp to obtain the current duration of the current liquid level gauge. Calculate the average value of the current durations of each liquid level gauge to obtain the average duration.

[0137] Step S704: Obtain the material consumption volume based on the actual liquid level deviation value and the average duration.

[0138] The material consumption volume refers to the actual reduced volume of the material in the prepolymerization reaction system.

[0139] Exemplarily, based on the average duration, determine the reduction in reaction volume in a preset reaction comparison table. The reduction in reaction volume refers to the volume reduced by the PTT raw material due to the polycondensation reaction. The reaction comparison table is used to record the corresponding relationship between the reaction time and the reduction in volume. Calculate the sum of the actual liquid level deviation value and the reduction in reaction volume to obtain the material consumption volume.

[0140] Step S705: Set the overflow area according to the material consumption volume.

[0141] Optionally, determine the temperature maximum point according to the sidewall temperature distribution. Set the overflow area inside the prepolymerization kettle corresponding to the temperature maximum point, where the temperature of the overflow area is greater than the highest temperature of the prepolymerization reaction.

[0142] In some other embodiments, the occurrence of the overflow area can also be reduced or avoided by controlling the residence time of the material.

[0143] Step S706: Update the overall temperature distribution according to the overflow area.

[0144] Replace the temperature data corresponding to the overflow area and the position of the overflow area into the overall temperature distribution.

[0145] By adopting the above technical solution, when the number of liquid level gauges in the temporary failure state is greater than the preset number threshold, the theoretical liquid level deviation and the actual liquid level deviation value of the periodic liquid level data will be calculated, and the overflow area in the target system will be predicted based on the actual liquid level deviation value. The overall temperature distribution will be updated through the overflow area, making the multi-dimensional data more accurate to improve the feasibility of the processing solution.

[0146] In an actual scenario, as the prepolymerization reaction progresses, the viscosity of the raw material will gradually increase. At this time, the raw material may adhere to the liquid level gauge, resulting in abnormal readings of the liquid level gauge and thus causing false alarms. Therefore, the embodiments of the present application disclose a method for updating the stirring instruction. Refer to Figure 8 , the method includes: Step S801: When the change amount of the liquid level data of the target liquid level gauge within a preset duration is less than the change amount threshold, obtain the instrument position of the target liquid level gauge in the target system.

[0147] The preset duration is a preset empirical value, and those skilled in the art can adjust the specific value of the preset duration according to actual needs.

[0148] The change threshold is a preset empirical value, and the technical personnel can adjust the specific value of the change threshold according to actual needs.

[0149] The instrument position at least includes the distance from the liquid level gauge on the side wall to the liquid surface.

[0150] Step S802: Starting from the instrument position, in the opposite direction of the stirring direction of the stirring blade, determine a target position on the horizontal plane. The included angle formed by the target position and the instrument position is a preset included angle.

[0151] The horizontal plane refers to the plane where the stirring blade is located.

[0152] The preset included angle is a preset empirical value, and the technical personnel can adjust the specific value of the preset included angle according to actual needs.

[0153] Step S803: Generate an additional stirring instruction according to the target position. The additional stirring instruction is used to instruct the stirring blade to increase the stirring speed to the target stirring speed when reaching the target position.

[0154] The target stirring speed is a preset empirical value, and the technical personnel can adjust the specific value of the target stirring speed according to actual needs. Among them, the target stirring speed should be greater than the stirring speed during the normal operation of the stirring blade.

[0155] Further, after generating the additional stirring instruction, send the additional stirring instruction to the stirring blade.

[0156] By adopting the above technical solution, in the case where the change amount of the liquid level data of the target liquid level gauge within the preset time period is less than the change threshold, an additional stirring instruction will be generated, so that the stirring blade will increase the stirring speed to the target stirring speed when reaching the target position, thereby realizing the cleaning of the target liquid level gauge and ensuring the accuracy of the reading of the target liquid level gauge.

[0157] The embodiment of the present application discloses a schematic diagram of a PTT production process. Please refer to Figure 9 , the PTT production process includes a raw material system 901, an esterification reaction system 902, a prepolymerization reaction system 903, a final polymerization kettle reaction system 904, a pelletizing and cooling system 905, a slice packaging system 906, and a controller connected to each of the above.

[0158] The raw material system 901 is used to adjust the proportion of raw materials input into production. Optionally, the raw materials include PTA and PDO. Exemplarily, the raw material system 901 includes a first liquid level control subsystem. Further, a first raw material liquid level and a second raw material liquid level are set in ascending order. When the liquid level of the raw material system 901 is less than the first raw material liquid level, raw materials are input into the raw material system 901 through a transfer chain plate; when the liquid level of the raw material system 901 is greater than the second raw material liquid level, the input of raw materials into the raw material system 901 is stopped. In some optional embodiments, the liquid level of the raw material system 901 needs to be controlled between 60% and 85%. When the liquid level of the raw material system 901 is less than 60%, raw materials are input into the raw material system 901 and an alarm for insufficient raw materials is generated; when the liquid level of the raw material system 901 is greater than 85%, the input of raw materials into the raw material system 901 is stopped and an alarm for excessive raw materials is generated.

[0159] The raw material system 901 further includes a first temperature control subsystem. Further, a first raw material temperature and a second raw material temperature are set in ascending order. When the temperature of the raw material system 901 is less than the first raw material temperature, the raw material system 901 is heated; when the temperature of the raw material system 901 is greater than the second raw material temperature, the heating of the raw material system 901 is stopped. In some optional embodiments, the temperature of the raw material system 901 needs to be controlled between 60°C and 85°C. When the temperature of the raw material system 901 is less than 60°C, the slurry tank in the raw material system 901 is heated; when the temperature of the raw material system 901 is greater than 85°C, the heating of the slurry tank in the raw material system 901 is stopped.

[0160] The raw material system 901 further includes a first pressure control subsystem. The first pressure control subsystem adopts atmospheric pressure control.

[0161] The esterification reaction system 902 is used to promote the esterification reaction of raw materials. Under esterification reaction conditions, PTA and PDO can undergo esterification to produce BHPT and water. Exemplarily, the esterification reaction system 902 includes a second liquid level control subsystem. Further, a first esterification liquid level and a second esterification liquid level are set in ascending order. When the liquid level of the esterification reaction system 902 is less than the first esterification liquid level, feeding is carried out into the esterification reaction system 902; when the liquid level of the esterification reaction system 902 is greater than the second esterification liquid level, the feeding into the esterification reaction system 902 is stopped. In some optional embodiments, the liquid level of the esterification reaction system 902 needs to be controlled between 45% and 55%. When the liquid level of the esterification reaction system 902 is less than 45%, feeding is carried out into the esterification reaction system 902; when the liquid level of the esterification reaction system 902 is greater than 55%, the feeding into the esterification reaction system 902 is stopped.

[0162] The esterification reaction system 902 further includes a second temperature control subsystem. Further, a first esterification temperature and a second esterification temperature are set from small to large. When the temperature of the esterification reaction system 902 is less than the first esterification temperature, the esterification reaction system 902 is heated; when the temperature of the esterification reaction system 902 is greater than the second esterification temperature, heating of the esterification reaction system 902 is stopped. In some alternative embodiments, the temperature of the esterification reaction system 902 needs to be controlled between 243 °C and 246 °C. When the temperature of the esterification reaction system 902 is less than 243 °C, the esterification kettle in the esterification reaction system 902 is heated; when the temperature of the esterification reaction system 902 is greater than 246 °C, heating of the esterification kettle in the esterification reaction system 902 is stopped.

[0163] The esterification reaction system 902 further includes a second pressure control subsystem. Further, a first esterification pressure and a second esterification pressure are set from small to large. When the pressure of the esterification reaction system 902 is less than the first esterification pressure, the pressure of the esterification reaction system 902 is increased; when the pressure of the esterification reaction system 902 is greater than the second esterification pressure, the pressure of the esterification reaction system 902 is decreased. In some alternative embodiments, the pressure of the esterification reaction system 902 needs to be controlled between 38 kPa and 42 kPa. When the pressure of the esterification reaction system 902 is less than 38 kPa, the air pressure in the esterification kettle of the esterification reaction system 902 is increased; when the pressure of the esterification reaction system 902 is greater than 42 kPa, the air pressure in the esterification kettle of the esterification reaction system 902 is decreased.

[0164] The prepolymerization reaction system 903 is used to form a prepolymer. Exemplarily, the prepolymerization reaction system 903 includes a third liquid level control subsystem. Further, a first prepolymerization liquid level and a second prepolymerization liquid level are sequentially set from small to large. When the liquid level of the prepolymerization reaction system 903 is less than the first prepolymerization liquid level, feeding is carried out into the prepolymerization reaction system 903; when the liquid level of the prepolymerization reaction system 903 is greater than the second prepolymerization liquid level, feeding into the prepolymerization reaction system 903 is stopped. In some alternative embodiments, the liquid level of the prepolymerization reaction system 903 needs to be controlled between 13% and 20%. When the liquid level of the prepolymerization reaction system 903 is less than 13%, feeding is carried out into the prepolymerization reaction system 903; when the liquid level of the prepolymerization reaction system 903 is greater than 20%, feeding into the prepolymerization reaction system 903 is stopped.

[0165] The prepolymerization reaction system 903 further includes a third temperature control subsystem. Further, a first prepolymerization temperature and a second prepolymerization temperature are set from small to large. When the temperature of the prepolymerization reaction system 903 is less than the first prepolymerization temperature, the prepolymerization reaction system 903 is heated; when the temperature of the prepolymerization reaction system 903 is greater than the second prepolymerization temperature, the heating of the prepolymerization reaction system 903 is stopped. In some alternative embodiments, the temperature of the prepolymerization reaction system 903 needs to be controlled between 242°C and 245°C. When the temperature of the prepolymerization reaction system 903 is less than 242°C, the prepolymerization kettle in the prepolymerization reaction system 903 is heated; when the temperature of the prepolymerization reaction system 903 is greater than 245°C, the heating of the prepolymerization kettle in the prepolymerization reaction system 903 is stopped.

[0166] The prepolymerization reaction system 903 further includes a third pressure control subsystem. Further, a first prepolymerization pressure and a second prepolymerization pressure are set from small to large. When the pressure of the prepolymerization reaction system 903 is less than the first prepolymerization pressure, the pressure of the prepolymerization reaction system 903 is increased; when the pressure of the prepolymerization reaction system 903 is greater than the second prepolymerization pressure, the pressure of the prepolymerization reaction system 903 is decreased. In some alternative embodiments, the pressure of the prepolymerization reaction system 903 needs to be controlled between 1 kPa and 4 kPa. When the pressure of the prepolymerization reaction system 903 is less than 1 kPa, the air pressure in the prepolymerization kettle of the prepolymerization reaction system 903 is increased; when the pressure of the prepolymerization reaction system 903 is greater than 4 kPa, the air pressure in the prepolymerization kettle of the prepolymerization reaction system 903 is decreased.

[0167] The final polymerization kettle reaction system 904 is used to polymerize the prepolymer to generate PTT material. Exemplarily, the final polymerization kettle reaction system includes a third liquid level control subsystem. Further, a first final polymerization liquid level and a second final polymerization liquid level are set in sequence from small to large. When the liquid level of the final polymerization kettle reaction system is less than the first final polymerization liquid level, feeding is carried out into the final polymerization kettle reaction system; when the liquid level of the final polymerization kettle reaction system is greater than the second final polymerization liquid level, feeding into the final polymerization kettle reaction system is stopped. In some alternative embodiments, the liquid level of the final polymerization kettle reaction system needs to be controlled between 50% and 60%. When the liquid level of the final polymerization kettle reaction system is less than 50%, feeding is carried out into the final polymerization kettle reaction system; when the liquid level of the final polymerization kettle reaction system is greater than 60%, feeding into the final polymerization kettle reaction system is stopped.

[0168] The final polymerization reactor system further includes a third temperature control subsystem. Further, a first final polymerization temperature and a second final polymerization temperature are set from small to large. When the temperature of the final polymerization reactor system is lower than the first final polymerization temperature, the final polymerization reactor system is heated; when the temperature of the final polymerization reactor system is higher than the second final polymerization temperature, heating of the final polymerization reactor system is stopped. In some alternative embodiments, the temperature of the final polymerization reactor system needs to be controlled between 250°C and 255°C. When the temperature of the final polymerization reactor system is lower than 250°C, the final polymerization kettle in the final polymerization reactor system is heated; when the temperature of the final polymerization reactor system is higher than 255°C, heating of the final polymerization kettle in the final polymerization reactor system is stopped.

[0169] The final polymerization reactor system further includes a third pressure control subsystem. Further, a first final polymerization pressure and a second final polymerization pressure are set from small to large. When the pressure of the final polymerization reactor system is lower than the first final polymerization pressure, the pressure of the final polymerization reactor system is increased; when the pressure of the final polymerization reactor system is higher than the second final polymerization pressure, the pressure of the final polymerization reactor system is decreased. In some alternative embodiments, the pressure of the final polymerization reactor system needs to be controlled between 180 Pa and 220 Pa. When the pressure of the final polymerization reactor system is lower than 180 Pa, the air pressure in the final polymerization kettle of the final polymerization reactor system is increased; when the pressure of the final polymerization reactor system is higher than 220 Pa, the air pressure in the final polymerization kettle of the final polymerization reactor system is decreased.

[0170] The pelletizing and cooling system 905 is used to cut the PTT material into pellets. Exemplarily, the pelletizing and cooling system 905 includes a fourth pressure control subsystem. Further, a first pelletizing pressure and a second pelletizing pressure are set from small to large. When the extrusion pressure of the pelletizing and cooling system 905 is lower than the first pelletizing pressure, the extrusion pressure of the pelletizing and cooling system 905 is increased; when the extrusion pressure of the pelletizing and cooling system 905 is higher than the second pelletizing pressure, the extrusion pressure of the pelletizing and cooling system 905 is decreased. In some alternative embodiments, the pressure of the pelletizing and cooling system 905 needs to be controlled between 1.6 MPa and 2.5 MPa. When the extrusion pressure of the pelletizing and cooling system 905 is lower than 1.6 MPa, the pressure of the pelletizer in the pelletizing and cooling system 905 is increased; when the pressure of the pelletizing and cooling system 905 is higher than 2.5 MPa, the pressure of the pelletizer in the pelletizing and cooling system 905 is decreased. Further, the pelletizing and cooling system 905 is also provided with a third pelletizing pressure, and the third pelletizing pressure is lower than the first pelletizing pressure. When the extrusion pressure of the pelletizing and cooling system 905 is lower than the third pelletizing pressure, the pelletizer of the pelletizing and cooling system 905 is turned off. For example, the third pelletizing pressure is 0.6 MPa.

[0171] The slicing and packaging system 906 is used to package the granular PTT material.

[0172] Based on the same inventive concept, the embodiments of the present application provide a control system for a PTT production process. Please refer toFigure 10 , the system includes: An acquisition module 1001, configured to acquire multi-dimensional data and a confirmation operation; A memory 1002, configured to store the control method of the above PTT production process; A processor 1003, and the program in the memory can be loaded and executed by the processor and implement the control method of the above PTT production process.

[0173] By adopting the above technical solution, multi-dimensional data of each system in the PTT production line is utilized to determine that there is a problem with the target system, and the problem is located through the target instrument and equipment and a processing solution is given. After receiving the confirmation operation, the processing solution is executed. Through this technical solution, the problems existing in the PTT production line can be quickly located and a processing solution can be given, and the problems in the PTT production line can be processed in a timely manner. Moreover, the target system where the problem is located and the processing solution will be visually represented, which is convenient for technicians to quickly master the on-site situation and facilitates technicians to handle problems and collect problems.

[0174] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the above division of each functional module is used as an example for illustration. In practical applications, the above functions can be allocated to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-described system, device, and unit can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0175] An embodiment of the present application provides a computer-readable storage medium, storing a computer program that can be loaded and executed by a processor to implement the control method of the PTT production process.

[0176] Computer storage media include, for example: various media such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs that can store program codes.

[0177] Based on the same inventive concept, an embodiment of the present application provides an intelligent terminal, including a memory and a processor, and a computer program capable of being loaded and executed by the processor to implement the control method of the PTT production process is stored on the memory.

[0178] Those skilled in the art can clearly understand that, for the convenience and conciseness of description, only the above division of each functional module is used as an example. In actual applications, the above functions can be allocated to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. For the specific working processes of the systems, devices, and units described above, reference can be made to the corresponding processes in the foregoing method embodiments, which will not be elaborated herein.

[0179] The above are all preferred embodiments of this application. The protection scope of this application is not limited thereby. Any feature disclosed in this specification (including the abstract and drawings), unless specifically described, can be replaced by other equivalent or similar-purpose alternative features. That is, unless specifically described, each feature is only an example of a series of equivalent or similar features.

Claims

1. A control method for a PTT production process, characterized in that, The method includes: Obtaining multi-dimensional data of each system in a polytrimethylene terephthalate (PTT) production line, where the multi-dimensional data includes liquid level data, temperature data, and pressure data, and the PTT production line includes a raw material system, an esterification reaction system, a prepolymerization reaction system, a final polymerization kettle reaction system, a pelletizing and cooling system, and a slice packaging system; In response to the target multi-dimensional data of the target system not meeting the preset multi-dimensional data standard, obtaining the target sensing device corresponding to the target multi-dimensional data; Generating a processing plan according to the target sensing device; Displaying a system schematic diagram of the target system on a user interface, where the system schematic diagram includes schematic diagrams of each device in the target system and the multi-dimensional data corresponding to the devices; Highlighting the target multi-dimensional data and the target device on the user interface; Displaying the processing plan in the peripheral area of the target device on the user interface; In response to a confirmation operation on the processing plan, executing the processing plan.

2. The control method of the PTT production process according to claim 1, characterized in that, The generating a processing plan according to the target sensing device includes: Determining a set of sensing devices corresponding to the target sensing device, where the types of the sensing devices in the set of sensing devices are the same as those of the target sensing device, and the sensing devices in the set of sensing devices are used to detect data in the same area; Obtaining the multi-dimensional data of each sensing device in the set of sensing devices to obtain a multi-dimensional data set; Performing a weighted calculation on the multi-dimensional data set to obtain weighted multi-dimensional data; Generating the processing plan according to the weighted multi-dimensional data and the preset multi-dimensional data standard.

3. The control method of the PTT production process according to claim 2, characterized in that, The method further includes: In the case where the target multi-dimensional data belongs to temperature data and the target multi-dimensional data comes from the prepolymerization reaction system, obtaining the multi-dimensional data set based on all the temperature data in the target system; Obtaining the side wall temperature distribution of the target system according to the multi-dimensional data set; Determining a target point in the target system and determining the shortest distance from the target point to the side wall of the target system; Obtaining a basic temperature difference according to the shortest distance; Correcting the basic temperature difference according to a preset correction coefficient and a preset reaction temperature difference to obtain a corrected temperature difference; Calculating the predicted temperature of the target point according to the side wall temperature distribution and the corrected temperature difference to obtain the internal temperature distribution of the target system; Updating the weighted multi-dimensional data according to the internal temperature distribution.

4. The control method of the PTT production process according to claim 3, characterized in that, The method further includes: Obtaining the overall temperature distribution of the target system according to the side wall temperature distribution and the internal temperature distribution; Determining a high-temperature area from the overall temperature distribution, where the temperature in the high-temperature area is greater than a preset temperature threshold; Setting a stirring height according to the high-temperature area, where the stirring height is consistent with the height of the high-temperature area in the target system; Setting a stirring speed according to the high-temperature area, where the stirring speed is related to the temperature in the high-temperature area; Generating a stirring instruction according to the stirring height and the stirring speed, where the stirring instruction is used to instruct the stirring blades in the target system to work.

5. The control method of the PTT production process according to claim 4, characterized in that, The method further includes: Obtain the historical liquid level data of the target liquid level gauge in the target system within the historical period; When the historical liquid level data meets the periodicity, obtain the overall viscosity of the PTT raw material according to the overall temperature distribution; Calculate the liquid level influence factor based on the stirring height and the stirring speed; Obtain the theoretical liquid level deviation according to the overall viscosity and the liquid level influence factor; Extract the liquid level data of the historical liquid level data within the unit period to obtain the periodic liquid level data; When the theoretical liquid level deviation does not match the periodic liquid level data, mark the target liquid level gauge as a temporary failure state.

6. The control method of the PTT production process according to claim 5, wherein, After marking the target liquid level gauge as a temporary failure state, it further includes: Count the number of instruments of the liquid level gauges in the temporary failure state in the target system; When the number of instruments is greater than the preset number threshold, calculate the actual liquid level deviation value between the theoretical liquid level deviation and the periodic liquid level data; Obtain the average continuous duration of the liquid level gauge in the temporary failure state; Obtain the material consumption volume according to the actual liquid level deviation value and the average continuous duration; Set the overflow area according to the material consumption volume; Update the overall temperature distribution according to the overflow area.

7. The control method of the PTT production process according to claim 4, characterized in that, The method further includes: When the change amount of the liquid level data of the target liquid level gauge within the preset duration is less than the change amount threshold, obtain the instrument position of the target liquid level gauge in the target system; Starting from the instrument position, determine the target position on the horizontal plane in the reverse direction of the stirring direction of the stirring blade, and the included angle between the target position and the instrument position is the preset included angle; Generate an additional stirring instruction according to the target position, and the additional stirring instruction is used to instruct the stirring blade to increase the stirring speed to the target stirring speed when reaching the target position.

8. A control system for a PTT production process, characterized in that, The system is used to execute the control method of the PTT production process according to any one of claims 1 to 7, including: An acquisition module, used to acquire multi-dimensional data and confirmation operations; A memory, used to store the control method of the PTT production process; A processor, the program in the memory can be loaded and executed by the processor and implement the control method of the PTT production process.

9. An intelligent terminal, characterized in that, It includes a memory and a processor, and a computer program capable of being loaded and executed by the processor and implementing the method according to any one of claims 1 to 7 is stored on the memory.

10. A computer-readable storage medium, characterized in that, A computer program capable of being loaded and executed by the processor and implementing the method according to any one of claims 1 to 7 is stored.

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