A control method, system, terminal and storage medium for PTT production process

Abstract

The present application relates to a control method, system, terminal, and storage medium for a PTT production process, and relates to the field of chemical production control technology. The method comprises: obtaining multidimensional data from various systems in a PTT production line, the multidimensional data including liquid level data, temperature data, and pressure data; in response to a target multidimensional data of a target system not meeting a preset multidimensional data standard, obtaining a target sensing device corresponding to the target multidimensional data; generating a treatment plan based on the target sensing device; displaying a system schematic diagram of the target system on a user interface, the system schematic diagram including schematic diagrams of various devices in the target system and multidimensional data corresponding to the devices; highlighting the target multidimensional data and target device on the user interface; displaying the treatment plan in an area surrounding the target device on the user interface; and executing the treatment plan in response to a confirmation operation on the treatment plan. The present application is effective in quickly locating problems that arise in the PTT production process.

Description

Technical Field

[0001] The present application relates to the field of chemical production control technology, and in particular to a control method, system, intelligent terminal and storage medium for a PTT production process. Background Art

[0002] PTT (poly(trimethylene terephthalate)) is a synthetic polyester with good mechanical properties, heat resistance, chemical resistance, excellent tensile strength, and abrasion resistance. PTT is commonly used to make fibers, films, and some plastic products.

[0003] Related technology When manufacturing PTT materials, it is necessary to go through six process steps in sequence: batching, esterification, prepolymerization, condensation, pelletizing and slicing packaging. In each process step, various parameters will be monitored to ensure that the parameters are within the preset range so that the reaction in each process step can proceed normally.

[0004] Regarding the above-mentioned related technologies, when problems arise in the PTT process, it is necessary to manually determine the link and type of problem that causes the problem, which makes it difficult to resolve the problem in a short period of time, affecting the entire process flow and even the quality of the PTT finished product. Summary of the Invention

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

[0006] In a first aspect, the present application provides a method for controlling a PTT production process, which adopts the following technical solution:

[0007] A method for controlling a PTT production process, comprising:

[0008] Acquire multidimensional data of various systems in a PTT production line, the multidimensional data including 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 reaction system, a pelletizing and cooling system, and a slice packaging system;

[0009] In response to the target multidimensional data of the target system not meeting the preset multidimensional data standard, acquiring a target sensing device corresponding to the target multidimensional data;

[0010] generating a processing plan according to the target sensing device;

[0011] Displaying a system diagram of the target system on a user interface, the system diagram including a diagram of each device in the target system and multidimensional data corresponding to the device;

[0012] highlighting the target multi-dimensional data and the target device on the user interface;

[0013] Displaying the processing solution in a surrounding area of ​​the target device on the user interface;

[0014] In response to a confirmation operation on the processing plan, the processing plan is executed.

[0015] By employing the above technical solution, multidimensional data from various systems in the PTT production line is utilized to identify problems in the target system, locate the problem through the target instrumentation, and provide a solution. After receiving confirmation, the solution is executed. This technical solution allows for rapid identification of problems in the PTT production line and provides a solution, enabling timely resolution of these issues. Furthermore, the target system and solution for the problem are visually displayed, enabling technicians to quickly grasp the on-site situation and facilitate problem resolution and collection.

[0016] Optionally, determining a sensor device set corresponding to the target sensor device, wherein the type of the sensor devices in the sensor device set is the same as the type of the target sensor device, and the sensor devices in the sensor device set and the target sensor device are used to detect data in the same area;

[0017] Acquire multidimensional data of each sensor device in the sensor device set to obtain a multidimensional data set;

[0018] Performing weighted calculation on the multidimensional data set to obtain weighted multidimensional data;

[0019] The processing solution is generated according to the weighted multidimensional data and the preset multidimensional data standard.

[0020] 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 be used to deal with actual problems existing in the target system.

[0021] Optionally, when the target multidimensional data is temperature data and the target multidimensional data comes from the prepolymerization reaction system, the multidimensional data set is obtained based on all temperature data in the target system;

[0022] Acquire a sidewall temperature distribution of the target system according to the multidimensional data set;

[0023] determining a target point in the target system and determining the shortest distance from the target point to a side wall of the target system;

[0024] According to the shortest distance, a basic temperature difference is obtained;

[0025] Correcting the basic temperature difference according to a preset correction coefficient and a preset reaction temperature difference to obtain a corrected temperature difference;

[0026] Calculating the predicted temperature of the target point according to the sidewall temperature distribution and the corrected temperature difference to obtain the internal temperature distribution of the target system;

[0027] The weighted multidimensional data is updated according to the internal temperature distribution.

[0028] 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 multidimensional data is updated using the internal temperature distribution, so that the weighted multidimensional data is closer to the actual situation of the target system, and the processing solution obtained from the weighted multidimensional data is more in line with the on-site conditions, thereby improving the feasibility of the processing solution.

[0029] Optionally, obtaining an overall temperature distribution of the target system according to the sidewall temperature distribution and the internal temperature distribution;

[0030] determining a high temperature region from the overall temperature distribution, wherein the temperature of the high temperature region is greater than a preset temperature threshold;

[0031] Setting a stirring height according to the high temperature region, wherein the stirring height is consistent with the height of the high temperature region in the target system;

[0032] Setting a stirring speed according to the high temperature area, wherein the stirring speed is related to the temperature of the high temperature area;

[0033] A stirring instruction is generated according to the stirring height and the stirring speed, and the stirring instruction is used to instruct a stirring blade in the target system to work.

[0034] By adopting this technical solution, after the overall temperature distribution of the target system is determined using the sidewall temperature distribution and the internal temperature distribution, the stirring height and stirring speed are set based on this overall temperature distribution, and stirring instructions are further generated. This technical solution allows the stirring blades to be adjusted according to the actual conditions of the target system, quickly reducing the internal temperature and preventing the formation of impurities due to excessive temperatures.

[0035] Optionally, obtaining historical liquid level data of a target liquid level meter in the target system within a historical period;

[0036] When the historical liquid level data satisfies periodicity, the overall viscosity of the PTT raw material is obtained according to the overall temperature distribution;

[0037] Calculating a liquid level influence factor based on the stirring height and the stirring speed;

[0038] Obtaining a theoretical liquid level deviation according to the overall viscosity and the liquid level influencing factor;

[0039] Taking the liquid level data of the historical liquid level data within a unit period to obtain periodic liquid level data;

[0040] In the event that the theoretical liquid level deviation does not match the periodic liquid level data, the target liquid level gauge is marked as being in a temporary fault state.

[0041] By adopting the above technical solution, during the stirring process, whether the liquid level meter is faulty is determined based on the theoretical liquid level deviation and periodic liquid level data. This technical solution can determine the liquid level meter that may be faulty, making the multi-dimensional data more accurate to ensure the feasibility of the treatment plan.

[0042] Optionally, counting the number of liquid level meters in the target system that are in the temporary fault state;

[0043] When the number of the instruments is greater than a preset number threshold, calculating the theoretical liquid level deviation and the actual liquid level deviation value of the periodic liquid level data;

[0044] Obtaining the average duration of the liquid level meter being in the temporary fault state;

[0045] Obtaining a material consumption volume according to the actual liquid level deviation value and the average duration;

[0046] Setting an overflow area according to the material consumption volume;

[0047] The overall temperature distribution is updated according to the overflow area.

[0048] By adopting the above technical solution, when the number of liquid level gauges in a temporary fault state is greater than a 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 is updated through the overflow area, making the multi-dimensional data more accurate, thereby improving the feasibility of the processing solution.

[0049] Optionally, when a change in the liquid level data of the target liquid level meter within a preset time period is less than a change threshold, obtaining an instrument position of the target liquid level meter in the target system;

[0050] Taking the instrument position as a starting point, a target position is determined on a horizontal plane in a direction opposite to the stirring direction of the stirring blade, wherein the angle between the target position and the instrument position is a preset angle;

[0051] An additional stirring instruction is generated according to the target position, and the additional stirring instruction is used to instruct the stirring blade to increase the stirring speed to a target stirring speed when the stirring blade reaches the target position.

[0052] By adopting the above technical solution, when the change in the liquid level data of the target liquid level meter within a 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 it reaches the target position, thereby achieving the cleaning of the target liquid level meter and ensuring the accuracy of the target liquid level meter reading.

[0053] In a second aspect, the present application provides a control system for a PTT production process, which adopts the following technical solutions:

[0054] A control system for a PTT production process, comprising:

[0055] Acquisition module, used to obtain multidimensional data and confirm operations;

[0056] A memory, configured to store a control method for the PTT production process;

[0057] The program in the memory can be loaded and executed by the processor to implement the control method of the PTT production process.

[0058] By employing the above technical solution, multidimensional data from various systems in the PTT production line is utilized to identify problems in the target system, locate the problem through the target instrumentation, and provide a solution. After receiving confirmation, the solution is executed. This technical solution allows for rapid identification of problems in the PTT production line and provides a solution, enabling timely resolution of these issues. Furthermore, the target system and solution for the problem are visually displayed, enabling technicians to quickly grasp the on-site situation and facilitate problem resolution and collection.

[0059] In a third aspect, the present application provides a smart terminal that adopts the following technical solution:

[0060] An intelligent terminal includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any one of the above-mentioned methods.

[0061] In a fourth aspect, the present application provides a computer storage medium capable of storing corresponding programs, which is characterized by being convenient for quickly locating problems arising in the PTT production process, and adopts the following technical solutions:

[0062] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any of the above-mentioned control methods for a PTT production process.

[0063] In summary, this application includes at least one of the following beneficial technical effects:

[0064] 1. Utilize the multi-dimensional data of each system in the PTT production line to determine if there is a problem in the target system, locate the problem through the target instrument and equipment, and provide a solution. After receiving the confirmation operation, execute the solution. This technical solution can quickly locate the problems in the PTT production line and provide a solution, so that the problems in the PTT production line can be solved in a timely manner. In addition, the target system where the problem is located and the solution will be visually displayed, which makes it easier for technicians to quickly grasp the on-site situation and facilitate technicians to handle and collect problems.

[0065] 2. The processing solution is derived from weighted multidimensional data, which is in turn derived from the multidimensional data of each sensor device in the target system. Since weighted multidimensional data can more accurately reflect the actual situation within the target system, the processing solution derived from the multidimensional data set can address the actual problems existing in the target system;

[0066] 3. The internal temperature distribution of the target system is predicted using the sidewall temperature distribution, and the weighted multidimensional data is updated using the internal temperature distribution, so that the weighted multidimensional data is closer to the actual situation of the target system. The treatment plan obtained from the weighted multidimensional data is more in line with the on-site situation, thereby improving the feasibility of the treatment plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 This is a flow chart of a control method for a PTT production process provided in an embodiment of the present application.

[0068] Figure 2 This is a schematic diagram of a user interface provided in an embodiment of the present application.

[0069] Figure 3 It is a flowchart of a method for generating a processing solution provided in an embodiment of the present application.

[0070] Figure 4 This is a flow chart of a weighted multidimensional data updating method provided in an embodiment of the present application.

[0071] Figure 5 It is a schematic flow chart of a stirring method for a prepolymerization reaction system provided in an embodiment of the present application.

[0072] Figure 6 This is a flow chart of a method for determining the status of a liquid level gauge provided in an embodiment of the present application.

[0073] Figure 7 This is a flow chart of a method for updating the overall temperature distribution provided in an embodiment of the present application.

[0074] Figure 8 This is a flow chart of a method for updating a stirring instruction provided in an embodiment of the present application.

[0075] Figure 9 Schematic diagram of a PTT production process provided in an embodiment of the present application.

[0076] Figure 10 It is a structural diagram of a control system of a PTT production process provided in an embodiment of the present application. DETAILED DESCRIPTION

[0077] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1 To the attached Figure 10 It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0078] The present application embodiment discloses a control method for a PTT production process. Figure 1 , the method comprising:

[0079] Step S101: Acquire multidimensional data of each system in the PTT production line, the multidimensional data including 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 polymerization final reaction system, a pelletizing cooling system and a slicing packaging system.

[0080] A PTT production line is an industrial production line for PTT materials. The raw material system adjusts the ratio of raw materials fed into production, the esterification system promotes the esterification reaction of the raw materials, the prepolymerization system forms the primary polymer, the final polymerization system polymerizes the primary polymer to produce PTT, the pelletizing and cooling system cuts the PTT material into pellets, and the chip packaging system packages the pelletized PTT material. For example, the raw material system adjusts the ratio of PTA (terephthalic acid) and PDO (1,3-propylene glycol) to a predetermined value. The PTA and PDO in the raw material system are then fed into the esterification system. In the esterification system, PTA and PDO undergo esterification to produce BHPT (propylene terephthalate monomer) and water. In the prepolymerization system, BHPT undergoes preliminary polymerization to form oligomers, preparing for subsequent polycondensation. The oligomers entering the final polymerization system undergo further polymerization to form PTT material. Finally, the PTT material is cut into granules by a pelletizing and cooling system to obtain PTT particles, and the PTT particles are packaged using a slicing and packaging system.

[0081] Multidimensional data comes from every system in the PTT production line. The multidimensional data also includes a data source identifier, which identifies the system that generated the multidimensional data. Furthermore, the data source identifier also identifies the type of multidimensional data; for example, the data source identifier indicates that the multidimensional data is temperature data.

[0082] For example, the multidimensional data is obtained by instruments in various systems in the PTT production line. For example, a temperature transmitter is provided in the prepolymerization reaction system, and the temperature data detected by the temperature transmitter is a type of multidimensional data.

[0083] Step S102: In response to the target multi-dimensional data of the target system not meeting the preset multi-dimensional data standard, obtaining a target sensing device corresponding to the target multi-dimensional data.

[0084] The target system refers to a system that does not meet the preset multidimensional data standard. The target multidimensional data refers to multidimensional data that does not meet the preset multidimensional data standard.

[0085] The preset multidimensional data standard refers to the range of values ​​for multidimensional data during normal operation of each system. This preset multidimensional data standard can be adjusted by technical personnel based on the response conditions. The preset multidimensional data standard varies from system to system. After acquiring multidimensional data, the system determines the preset multidimensional data standard to which the multidimensional data corresponds and determines whether the data meets the preset multidimensional data standard.

[0086] In some embodiments, the preset multidimensional data standard is in the form of a data interval. When the multidimensional data falls into the data interval corresponding to the preset multidimensional data standard, the multidimensional data is considered to meet the preset multidimensional data standard; if the multidimensional data does not fall into the data interval corresponding to the preset multidimensional data standard, the multidimensional data is considered to not meet the preset multidimensional data standard.

[0087] Exemplarily, the target sensing device is determined by identifying a data source within the multidimensional data.

[0088] Step S103: Generate a processing solution based on the target sensing device.

[0089] When the target multidimensional data of the target system does not meet the preset multidimensional data standard, it indicates that there is a problem within the target system, and a processing solution is needed to handle the problem within the target system to ensure the normal operation of the target system.

[0090] Step S104: Displaying a system diagram of the target system on the user interface, where the system diagram includes a diagram of each device in the target system and multi-dimensional data corresponding to the device.

[0091] The control system is connected to each system in the PTT production line. A display screen is set on the control system to display the user interface, which is an interface for users to interact and exchange information with the control system.

[0092] For example, please refer to Figure 2 A system diagram is displayed on the user interface 200 , and the system diagram includes a device 201 and multi-dimensional data 202 .

[0093] Step S105: highlighting the target multi-dimensional data and the target device on the user interface.

[0094] Optionally, on the user interface, the target multi-dimensional data and the display content of the target device are displayed in a first color, and other content is displayed in a second color, where the first color and the second color are different.

[0095] Step S106: Displaying the processing solution in the surrounding area of ​​the target device on the user interface.

[0096] The peripheral area refers to an area close to the target device icon on the user interface, and the distance from the peripheral area to the target device icon.

[0097] For example, please refer to Figure 2 , a processing solution 203 is displayed in an area of ​​the user interface 200 close to the device 201 .

[0098] Step S107: In response to the confirmation operation on the processing plan, the processing plan is executed.

[0099] Optionally, the confirmation operation is a click operation on the processing solution. For example, when the display screen adopts 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.

[0100] Optionally, if no confirmation operation for the processing plan is received within a preset waiting time, the processing plan is executed. For example, if no confirmation operation for the processing plan is received after waiting for 15 seconds, the processing plan is directly executed to ensure that the target system can operate normally.

[0101] By employing the above technical solution, multidimensional data from various systems in the PTT production line is utilized to identify problems in the target system, locate the problem through the target instrumentation, and provide a solution. After receiving confirmation, the solution is executed. This technical solution allows for rapid identification of problems in the PTT production line and provides a solution, enabling timely resolution of these issues. Furthermore, the target system and solution for the problem are visually displayed, enabling technicians to quickly grasp the on-site situation and facilitate problem resolution and collection.

[0102] In the following embodiment, when it is determined that the target multidimensional data does not meet the preset multidimensional data standard, since the target multidimensional data is only obtained by a single sensing device, it is difficult for the target multidimensional data to represent the problem existing in the target system. Therefore, the embodiment of the present application discloses a method for generating a processing solution. Figure 3 , the method comprising:

[0103] Step S301: determining a sensor device set corresponding to a target sensor device, wherein the type of the sensor devices in the sensor device set is the same as that of the target sensor device, and the sensor devices in the sensor device set are used to detect data in the same area.

[0104] The sensor devices in the sensor device set are set in the target system. Optionally, the sensor device set includes the target sensor device.

[0105] Optionally, when the target sensing device is a liquid level gauge, the sensing devices in the sensing device set are liquid level gauges located at the same height in the target system. For example, if the target system is a prepolymerization reaction system, the sensing devices in the sensing device set are liquid level gauges located at the same height in the prepolymerization kettle.

[0106] Optionally, when the target sensing device is a temperature transmitter or a pressure instrument, the distance between the sensing devices in the sensor device set is less than a preset set distance threshold. For example, the sensing devices in the sensor device set are all located in a prepolymerization kettle of a prepolymerization reaction system, and the distance between each sensing device is less than the preset set distance threshold.

[0107] Step S302: Acquire multidimensional data of each sensor device in the sensor device set to obtain a multidimensional data set.

[0108] The multidimensional data set is a data set consisting of multidimensional data detected by each sensor device in the sensor device set. Optionally, the multidimensional data in the multidimensional data set also includes a data source identifier.

[0109] Step S303: performing weighted calculation on the multidimensional data set to obtain weighted multidimensional data.

[0110] Exemplarily, the multidimensional data in the multidimensional data set is classified based on the data source identifier and the data data type, thereby obtaining a multidimensional data set classification, wherein the multidimensional data in each multidimensional data set classification has the same data type. A weighted calculation is performed on the multidimensional data in each multidimensional data set classification to obtain weighted multidimensional data. The weight value used in the weighted calculation can be a preset value or can be determined based on the distance between the sensor device corresponding to the multidimensional data and the target sensor device. For example, the weight value is negatively correlated with the distance between the sensor device corresponding to the multidimensional data and the target sensor device.

[0111] Step S304: Generate a processing plan based on the weighted multidimensional data and a preset multidimensional data standard.

[0112] When the weighted multidimensional data corresponds to the liquid level data, if the weighted multidimensional data is less than the preset multidimensional data standard, then the material is started to be fed into the target system; if the weighted multidimensional data is not less than the preset multidimensional data standard, then the material is stopped from being fed into the target system.

[0113] When the weighted multidimensional data corresponds to temperature data, if the weighted multidimensional data is less than the preset multidimensional data standard, the temperature of the target system is increased; if the weighted multidimensional data is not less than the preset multidimensional data standard, the temperature of the target system is reduced.

[0114] When the weighted multidimensional data corresponds to pressure data, if the weighted multidimensional data is less than the preset multidimensional data standard, the air pressure in the target system is increased; if the weighted multidimensional data is not less than the preset multidimensional data standard, the air pressure in the target system is reduced.

[0115] 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 be used to deal with actual problems existing in the target system.

[0116] 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, which makes it 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:

[0117] 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.

[0118] 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.

[0119] In this embodiment, the multidimensional data set refers to a set consisting of all temperature data of the polycondensation reaction system.

[0120] Step S402: Obtaining the sidewall temperature distribution of the target system according to the multidimensional data set.

[0121] The side wall temperature distribution refers to the spatial temperature distribution of the side wall of the polycondensation reactor.

[0122] Optionally, the sidewall position of the sensing device corresponding to the multidimensional data is obtained based on the multidimensional data set, and the sidewall temperature distribution is formed based on the specific values ​​of the multidimensional data and the sidewall position.

[0123] Step S403: determining a target point in the target system, and determining the shortest distance from the target point to a side wall of the target system.

[0124] 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 wall of the prepolymer reactor.

[0125] Optionally, a perpendicular line segment is drawn through the target point and perpendicular to the side wall of the target system. The length of the perpendicular line segment is calculated to obtain the shortest distance.

[0126] Step S404: Obtaining a basic temperature difference according to the shortest distance.

[0127] The basic temperature difference refers to the theoretical difference between the temperature at the target point and the side wall temperature.

[0128] Exemplarily, the temperature basic difference is obtained by searching for the one corresponding to the shortest distance in a preset first mapping relationship library. The first mapping relationship library includes the correspondence between the shortest distance and the temperature basic difference, and the first mapping relationship can be obtained by repeated testing.

[0129] Step S405: Correcting the basic temperature difference according to a preset correction coefficient and a preset reaction temperature difference to obtain a corrected temperature difference.

[0130] The preset correction coefficient and the preset reaction temperature difference are used to update the corrected temperature difference. In actual scenarios, due to various errors and contingencies, the basic temperature difference will have a certain error, so the preset correction coefficient and the preset reaction temperature difference need to be used for updating.

[0131] Exemplarily, assuming that the basic temperature difference is a, the preset correction coefficient is α, and the preset reaction temperature difference is ΔT, the corrected temperature difference is a·α+ΔT.

[0132] Step S406: Calculate the predicted temperature of the target point based on the sidewall temperature distribution and the corrected temperature difference to obtain the internal temperature distribution of the target system.

[0133] For example, the sidewall temperature distribution and the corrected temperature difference are calculated to obtain the predicted temperature of the target point. The predicted temperatures of each target point inside the target system are counted to obtain the internal temperature distribution of the target system.

[0134] Step S407: updating the weighted multidimensional data according to the internal temperature distribution.

[0135] Exemplarily, the internal temperature distribution is added to the weighted multidimensional data, so that the weighted multidimensional data includes both the sidewall temperature distribution and the internal temperature distribution.

[0136] 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 multidimensional data is updated using the internal temperature distribution, so that the weighted multidimensional data is closer to the actual situation of the target system, and the processing solution obtained from the weighted multidimensional data is more in line with the on-site conditions, thereby improving the feasibility of the processing solution.

[0137] In the following embodiment, when it is detected that there is a high temperature area inside the prepolymerization reaction system, the stirring blades in the prepolymerization reaction system can be used to treat it and reduce the internal temperature. Therefore, the embodiment of the present application discloses a stirring method for the prepolymerization reaction system. Figure 5 , the method comprising:

[0138] Step S501: obtaining the overall temperature distribution of the target system according to the sidewall temperature distribution and the internal temperature distribution.

[0139] The overall temperature distribution refers to the temperature distribution consisting of the sidewall temperature distribution and the internal temperature distribution of the target system.

[0140] Step S502: determining a high temperature region from the overall temperature distribution, wherein the temperature of the high temperature region is greater than a preset temperature threshold.

[0141] The volume of the high temperature area is greater than a preset volume threshold.

[0142] For example, the overall temperature distribution is searched for high-temperature points whose temperatures exceed a preset temperature threshold. A clustering operation is performed on the high-temperature points to obtain a clustered high-temperature point set. A surface fitting operation is performed on the high-temperature points within the clustered high-temperature point set to obtain a closed region. If the volume of the closed region exceeds a preset volume threshold, the closed region is considered a high-temperature region. If the volume of the closed region does not exceed the preset volume threshold, the closed region is discarded.

[0143] Step S503: setting a stirring height according to the high temperature area, wherein the stirring height is consistent with the height of the high temperature area in the target system.

[0144] Optionally, obtain the highest and lowest points of the high-temperature region in the vertical direction, obtain the midpoint between the highest and lowest points, and set the stirring height based on the midpoint.

[0145] Optionally, obtain the high-temperature distribution within the high-temperature region. Calculate the average temperature within the high-temperature region based on the high-temperature distribution. Use the average temperature as a criterion to search for a target high-temperature region within the high-temperature region with a temperature greater than the average. Determine the stirring height based on the geometric center of the target high-temperature region.

[0146] Step S504: setting a stirring speed according to the high temperature area, where the stirring speed is related to the temperature of the high temperature area.

[0147] The stirring speed refers to the rotation speed of the stirring blade.

[0148] Stirring height refers to the distance from the stirring blade to the liquid surface.

[0149] Optionally, the stirring speed is related to the average temperature of the high-temperature region. Alternatively, the stirring speed is related to the maximum temperature of the high-temperature region. For example, the higher the average temperature of the high-temperature region, the faster the stirring speed. Alternatively, the higher the maximum temperature of the high-temperature region, the faster the stirring speed. The maximum temperature of the high-temperature region refers to the maximum temperature within the high-temperature region.

[0150] Step S505: generating a stirring instruction according to the stirring height and stirring speed, wherein the stirring instruction is used to instruct the stirring blade in the target system to work.

[0151] The stirring blade can be moved vertically 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 kettle is controlled to move to the stirring height, the stirring blade is turned on and rotated according to the stirring speed.

[0152] By adopting this technical solution, after the overall temperature distribution of the target system is determined using the sidewall temperature distribution and the internal temperature distribution, the stirring height and stirring speed are set based on this overall temperature distribution, and stirring instructions are further generated. This technical solution allows the stirring blades to be adjusted according to the actual conditions of the target system, quickly reducing the internal temperature and preventing the formation of impurities due to excessive temperatures.

[0153] 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 level meter to be too large, thereby generating a false alarm. Therefore, the embodiment of the present application discloses a method for judging the state of the level meter. Figure 6 , the method comprising:

[0154] Step S601: Acquire historical liquid level data of a target liquid level meter in a target system within a historical period.

[0155] The target level gauge is any level gauge in the target system.

[0156] Optionally, the controller of the PTT production line will store the detected multidimensional data in the data space, and when storing the multidimensional data, will store the multidimensional data and the timestamp together, so that the historical liquid level data within the historical period can be obtained through the timestamp.

[0157] 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.

[0158] Overall viscosity is used to describe the viscosity of all PTT raw materials in the target system.

[0159] 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 temperatures. The regional viscosity of the temperature division areas is determined according to the weighted temperatures, and the regional viscosity is used to represent the viscosity of the entire temperature division area. The regional viscosities of the various temperature division areas are counted, and the mean is calculated to obtain the overall viscosity.

[0160] Furthermore, a temperature-viscosity comparison table is preset, and the regional viscosity is obtained by searching the temperature-viscosity comparison table for data corresponding to the temperature.

[0161] When judging the periodicity, it is sufficient to judge whether the period sizes are the same, and it is not strictly required that the amplitudes of the historical liquid level data in each period are the same.

[0162] In some other embodiments, if the historical liquid level data does not meet the periodicity requirement, subsequent steps are not performed. In this case, the presence of the stirring blades may cause irregular flow of the raw materials within the prepolymerization kettle, resulting in irregular changes in the liquid level data. In this case, it is not appropriate to determine the status of the target liquid level gauge based on the liquid level data.

[0163] Step S603: Calculate the liquid level influence factor based on the stirring height and stirring speed.

[0164] The liquid level impact factor is used to indicate the degree of influence of the stirring blade on the raw material liquid level.

[0165] In some embodiments, a liquid level influencing factor comparison table is pre-set, and the liquid level influencing factor is obtained by searching the liquid level influencing factor comparison table for data matching the stirring height and stirring speed.

[0166] In some embodiments, assuming that the stirring height is H and the stirring speed is v, the liquid level influence factor β is , where n and m are constants, and m is a negative number. g represents the acceleration due to gravity.

[0167] Step S604: Obtaining a theoretical liquid level deviation according to the overall viscosity and the liquid level influencing factor.

[0168] The theoretical liquid level deviation refers to the height change of the liquid level under theoretical conditions when the liquid in the prepolymerization kettle is stirred.

[0169] Step S605: Get the historical liquid level data within a unit period to obtain periodic liquid level data.

[0170] Periodic level data refers to the level data obtained by the level gauge within a single cycle.

[0171] Step S606: When the theoretical liquid level deviation does not match the periodic liquid level data, the target liquid level meter is marked as being in a temporary fault state.

[0172] The temporary fault state is used to indicate that the data from the level gauge is unreliable during the current period.

[0173] For example, the sum of the theoretical liquid level deviation and the liquid level height before stirring is calculated to obtain the maximum theoretical liquid level data. The maximum value of the periodic liquid level data is obtained to obtain 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, the theoretical liquid level deviation and the periodic liquid level data are considered to 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, the theoretical liquid level deviation and the periodic liquid level data are considered to not match.

[0174] When the theoretical level deviation matches the periodic level data, the target level gauge is marked as normal.

[0175] By adopting the above technical solution, during the stirring process, whether the liquid level meter is faulty is determined based on the theoretical liquid level deviation and periodic liquid level data. This technical solution can determine the liquid level meter that may be faulty, making the multi-dimensional data more accurate to ensure the feasibility of the treatment plan.

[0176] In the following embodiments, when multiple level gauges are in a temporary fault state, it means that the data of most level gauges are normal. This is usually because some raw materials in the prepolymerization kettle have abnormally boiled, resulting in abnormal overall temperature distribution, which in turn affects the theoretical liquid level deviation. Therefore, the embodiment of the present application discloses a method for updating the overall temperature distribution. Figure 7 , the method comprising:

[0177] Step S701: Count the number of liquid level meters in a temporary fault state in the target system.

[0178] The number of instruments refers to the total number of level gauges in the prepolymerization system that are in a temporary failure state.

[0179] Step S702: When the number of instruments is greater than a preset number threshold, the theoretical liquid level deviation and the actual liquid level deviation value of the periodic liquid level data are calculated.

[0180] The preset quantity threshold is a preset empirical value, and technical personnel can adjust the specific value of the preset quantity threshold according to actual needs.

[0181] Exemplarily, the difference between the theoretical liquid level deviation and the periodic liquid level data is calculated to obtain the actual liquid level deviation value.

[0182] Step S703: Obtain the average duration of the temporary fault state of the liquid level meter.

[0183] Optionally, obtain the first timestamp of the current level meter when the temporary fault state occurs and the second timestamp corresponding to the current moment. Calculate the difference between the first and second timestamps to obtain the current duration of the current level meter. Calculate the average of the current durations of each level meter to obtain the average duration.

[0184] Step S704: Obtain the material consumption volume according to the actual liquid level deviation value and the average duration.

[0185] The material consumption volume refers to the actual reduction in the volume of material in the prepolymerization reaction system.

[0186] For example, based on the average duration, the reaction volume reduction is determined from a preset reaction table. The reaction volume reduction refers to the volume reduction of the PTT raw material due to the polycondensation reaction. The reaction table is used to record the correspondence between reaction time and volume reduction. The sum of the actual liquid level deviation and the reaction volume reduction is calculated to obtain the material consumption volume.

[0187] Step S705: Set an overflow area according to the material consumption volume.

[0188] Optionally, the maximum temperature point is determined based on the side wall temperature distribution. An overflow area is set inside the prepolymerization kettle corresponding to the maximum temperature point, wherein the temperature of the overflow area is higher than the maximum temperature of the prepolymerization reaction.

[0189] In some other embodiments, the occurrence of overflow areas can be reduced or avoided by controlling the residence time of the material.

[0190] Step S706: updating the overall temperature distribution according to the overflow area.

[0191] The temperature data corresponding to the overflow area and the position of the overflow area are replaced into the overall temperature distribution.

[0192] By adopting the above technical solution, when the number of liquid level gauges in a temporary fault state is greater than a 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 is updated through the overflow area, making the multi-dimensional data more accurate, thereby improving the feasibility of the processing solution.

[0193] In actual scenarios, as the prepolymerization reaction proceeds, the viscosity of the raw materials will gradually increase. At this time, the raw materials may adhere to the level gauge, causing abnormal readings of the level gauge and causing false alarms. Therefore, the embodiment of the present application discloses a method for updating the stirring instruction. Figure 8 , the method comprising:

[0194] Step S801: when the change in the liquid level data of the target liquid level meter within a preset time period is less than a change threshold, the instrument position of the target liquid level meter in the target system is obtained.

[0195] The preset duration is a preset empirical value, and technicians can adjust the specific value of the preset duration according to actual needs.

[0196] The change threshold is a preset empirical value, and technicians can adjust the specific value of the change threshold according to actual needs.

[0197] The instrument position includes at least the distance between the level gauge and the liquid surface on the side wall.

[0198] Step S802: Taking the instrument position as the starting point, determine the target position on the horizontal plane along the opposite direction of the stirring direction of the stirring blade. The angle between the target position and the instrument position is the preset angle.

[0199] The horizontal plane refers to the plane where the mixing blades are located.

[0200] The preset angle is a preset empirical value, and technicians can adjust the specific value of the preset angle according to actual needs.

[0201] Step S803: generating an additional stirring instruction according to the target position, wherein the additional stirring instruction is used to instruct the stirring blade to increase the stirring speed to the target stirring speed when the stirring blade reaches the target position.

[0202] The target stirring speed is a preset empirical value, and the technician can determine 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 of the stirring blade when it is working normally.

[0203] Further, after the additional stirring instruction is generated, the additional stirring instruction is sent to the stirring blade.

[0204] By adopting the above technical solution, when the change in the liquid level data of the target liquid level meter within a 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 it reaches the target position, thereby achieving the cleaning of the target liquid level meter and ensuring the accuracy of the target liquid level meter reading.

[0205] This application embodiment 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 polymerization final reaction system 904, a pelletizing and cooling system 905, a slice packaging system 906, and a controller connected to each of the above.

[0206] Raw material system 901 is used to adjust the ratio of raw materials used in production. Optionally, the raw materials include PTA and PDO. Exemplarily, raw material system 901 includes a first liquid level control subsystem. Furthermore, a first raw material level and a second raw material level are set sequentially from smallest to largest. When the liquid level in raw material system 901 is less than the first raw material level, raw material is fed into raw material system 901 via the conveyor chain. When the liquid level in raw material system 901 is greater than the second raw material level, raw material feeding into raw material system 901 is stopped. In some optional embodiments, the liquid level in raw material system 901 is controlled between 60% and 85%. When the liquid level in raw material system 901 is less than 60%, raw material is fed into raw material system 901 and a raw material shortage alarm is generated. When the liquid level in raw material system 901 is greater than 85%, raw material feeding into raw material system 901 is stopped and a raw material excess alarm is generated.

[0207] Raw material system 901 also includes a first temperature control subsystem. Furthermore, a first raw material temperature and a second raw material temperature are set from smallest to largest. When the temperature of raw material system 901 is lower than the first raw material temperature, raw material system 901 is heated; when the temperature of raw material system 901 is higher than the second raw material temperature, heating of raw material system 901 is stopped. In some optional embodiments, the temperature of raw material system 901 is controlled between 60°C and 85°C. When the temperature of raw material system 901 is lower than 60°C, the slurry tank in raw material system 901 is heated; when the temperature of raw material system 901 is higher than 85°C, heating of the slurry tank in raw material system 901 is stopped.

[0208] The raw material system 901 further includes a first pressure control subsystem. The first pressure control subsystem adopts normal pressure control.

[0209] Esterification reaction system 902 is used to promote the esterification reaction of the raw materials. Under esterification reaction conditions, PTA and PDO can undergo esterification to produce BHPT and water. Exemplarily, esterification reaction system 902 includes a second liquid level control subsystem. Furthermore, a first esterification liquid level and a second esterification liquid level are set sequentially from smallest to largest. When the liquid level in esterification reaction system 902 is less than the first esterification liquid level, feed is added to esterification reaction system 902; when the liquid level in esterification reaction system 902 is greater than the second esterification liquid level, feed is stopped. In some optional embodiments, the liquid level in esterification reaction system 902 is controlled between 45% and 55%. When the liquid level in esterification reaction system 902 is less than 45%, feed is added to esterification reaction system 902; when the liquid level in esterification reaction system 902 is greater than 55%, feed is stopped.

[0210] The esterification reaction system 902 also includes a second temperature control subsystem. Furthermore, a first esterification temperature and a second esterification temperature are set from low to high. When the temperature of the esterification reaction system 902 is lower than the first esterification temperature, the esterification reaction system 902 is heated; when the temperature of the esterification reaction system 902 is higher than the second esterification temperature, the heating of the esterification reaction system 902 is stopped. In some optional embodiments, the temperature of the esterification reaction system 902 is controlled between 243°C and 246°C. When the temperature of the esterification reaction system 902 is lower than 243°C, the esterification kettle in the esterification reaction system 902 is heated; when the temperature of the esterification reaction system 902 is higher than 246°C, the heating of the esterification kettle in the esterification reaction system 902 is stopped.

[0211] The esterification reaction system 902 also includes a second pressure control subsystem. Furthermore, 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 optional embodiments, the pressure of the esterification reaction system 902 is controlled between 38 kPa and 42 kPa. When the pressure of the esterification reaction system 902 is less than 38 kPa, the pressure of the esterification reactor in the esterification reaction system 902 is increased; when the pressure of the esterification reaction system 902 is greater than 42 kPa, the pressure of the esterification reactor in the esterification reaction system 902 is decreased.

[0212] The prepolymerization reaction system 903 is used to form a primary polymer. Exemplarily, the prepolymerization reaction system 903 includes a third liquid level control subsystem. Furthermore, a first prepolymerization liquid level and a second prepolymerization liquid level are set in order from small to large. When the liquid level of the prepolymerization reaction system 903 is less than the first prepolymerization liquid level, the prepolymerization reaction system 903 is fed; when the liquid level of the prepolymerization reaction system 903 is greater than the second prepolymerization liquid level, the feeding of the prepolymerization reaction system 903 is stopped. In some optional embodiments, the liquid level of the prepolymerization reaction system 903 needs to be controlled at 13% to 20%. When the liquid level of the prepolymerization reaction system 903 is less than 13%, the prepolymerization reaction system 903 is fed; when the liquid level of the prepolymerization reaction system 903 is greater than 20%, the feeding of the prepolymerization reaction system 903 is stopped.

[0213] The prepolymerization reaction system 903 also includes a third temperature control subsystem. Furthermore, 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 lower than the first prepolymerization temperature, the prepolymerization reaction system 903 is heated; when the temperature of the prepolymerization reaction system 903 is higher than the second prepolymerization temperature, the heating of the prepolymerization reaction system 903 is stopped. In some optional 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 lower than 242°C, the prepolymerization kettle in the prepolymerization reaction system 903 is heated; when the temperature of the prepolymerization reaction system 903 is higher than 245°C, the heating of the prepolymerization kettle in the prepolymerization reaction system 903 is stopped.

[0214] The prepolymerization reaction system 903 also includes a third pressure control subsystem. Furthermore, 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 reduced. In some optional 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 pressure of the prepolymerization kettle in the prepolymerization reaction system 903 is increased; when the pressure of the prepolymerization reaction system 903 is greater than 4 kPa, the pressure of the prepolymerization kettle in the prepolymerization reaction system 903 is reduced.

[0215] The final polymerization reactor reaction system 904 is used to polymerize the primary polymer to generate the PTT material. Exemplarily, the final polymerization reactor system includes a third liquid level control subsystem. Furthermore, the first final polymerization liquid level and the second final polymerization liquid level are set in sequence from small to large. When the liquid level of the final polymerization reactor system is less than the first final polymerization liquid level, the material is fed into the final polymerization reactor system; when the liquid level of the final polymerization reactor system is greater than the second final polymerization liquid level, the material is stopped from being fed into the final polymerization reactor system. In some optional embodiments, the liquid level of the final polymerization reactor system needs to be controlled between 50% and 60%. When the liquid level of the final polymerization reactor system is less than 50%, the material is fed into the final polymerization reactor system; when the liquid level of the final polymerization reactor system is greater than 60%, the material is stopped from being fed into the final polymerization reactor system.

[0216] The final polymerization reactor system also includes a third temperature control subsystem. Furthermore, 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 less than the first final polymerization temperature, the final polymerization reactor system is heated; when the temperature of the final polymerization reactor system is greater than the second final polymerization temperature, heating of the final polymerization reactor system is stopped. In some optional 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 less than 250°C, the final polymerization reactor in the final polymerization reactor system is heated; when the temperature of the final polymerization reactor system is greater than 255°C, heating of the final polymerization reactor in the final polymerization reactor system is stopped.

[0217] The final polymerization reactor system also includes a third pressure control subsystem. Furthermore, 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 less 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 greater than the second final polymerization pressure, the pressure of the final polymerization reactor system is reduced. In some optional 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 less than 180 Pa, the pressure of the final polymerization reactor in the final polymerization reactor system is increased; when the pressure of the final polymerization reactor system is greater than 220 Pa, the pressure of the final polymerization reactor in the final polymerization reactor system is reduced.

[0218] The pelletizing cooling system 905 is used to cut the PTT material into pellets. Exemplarily, the pelletizing cooling system 905 includes a fourth pressure control subsystem. Furthermore, a first pelletizing pressure and a second pelletizing pressure are set from small to large. When the extrusion pressure of the pelletizing cooling system 905 is less than the first pelletizing pressure, the extrusion pressure of the pelletizing cooling system 905 is increased; when the extrusion pressure of the pelletizing cooling system 905 is greater than the second pelletizing pressure, the extrusion pressure of the pelletizing cooling system 905 is reduced. In some optional embodiments, the pressure of the pelletizing cooling system 905 needs to be controlled between 1.6 MPa and 2.5 MPa. When the extrusion pressure of the pelletizing cooling system 905 is less than 1.6 MPa, the pressure of the pelletizer in the pelletizing cooling system 905 is increased; when the pressure of the pelletizing cooling system 905 is greater than 2.5 MPa, the pressure of the pelletizer in the pelletizing cooling system 905 is reduced. Furthermore, the pelletizing cooling system 905 is further provided with a third pelletizing pressure, which is lower than the first pelletizing pressure. When the extrusion pressure of the pelletizing cooling system 905 is lower than the third pelletizing pressure, the pelletizer of the pelletizing cooling system 905 is shut down. For example, the third pelletizing pressure is 0.6 MPa.

[0219] The slice packaging system 906 is used to package granular PTT materials.

[0220] Based on the same inventive concept, the present application embodiment provides a control system for a PTT production process, please refer to Figure 10 , the system comprises:

[0221] Acquisition module 1001, used for acquiring multidimensional data and confirming operations;

[0222] Memory 1002, used to store the control method of the PTT production process;

[0223] Processor 1003, the program in the memory can be loaded and executed by the processor to implement the control method of the above-mentioned PTT production process.

[0224] By employing the above technical solution, multidimensional data from various systems in the PTT production line is utilized to identify problems in the target system, locate the problem through the target instrumentation, and provide a solution. After receiving confirmation, the solution is executed. This technical solution allows for rapid identification of problems in the PTT production line and provides a solution, enabling timely resolution of these issues. Furthermore, the target system and solution for the problem are visually displayed, enabling technicians to quickly grasp the on-site situation and facilitate problem resolution and collection.

[0225] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be assigned 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. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0226] An embodiment of the present application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute a control method for a PTT production process.

[0227] Computer storage media include, for example, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0228] Based on the same inventive concept, an embodiment of the present application provides an intelligent terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute a control method for a PTT production process.

[0229] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be assigned 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. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0230] The above are all preferred embodiments of the present application and are not intended to limit the scope of protection of this application. Unless otherwise stated, any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features. In other words, unless otherwise stated, each feature is merely an example of a series of equivalent or similar features.

Claims

1. A method for controlling a PTT production process, characterized in that: The method comprises: Acquire multidimensional data of various systems in a poly(trimethylene terephthalate) (PTT) production line, the multidimensional data including 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 reaction system, a pelletizing and cooling system, and a slice packaging system. In response to the target multidimensional data of the target system not meeting the preset multidimensional data standard, acquiring a target sensing device corresponding to the target multidimensional data; generating a processing plan according to the target sensing device; Displaying a system diagram of the target system on a user interface, the system diagram including a diagram of each device in the target system and multidimensional data corresponding to the device; highlighting the target multi-dimensional data and the target device on the user interface; Displaying the processing solution in a surrounding area of ​​the target device on the user interface; In response to a confirmation operation on the processing plan, executing the processing plan; Generating a processing solution according to the target sensing device includes: Determining a sensor device set corresponding to the target sensor device, where the type of the sensor devices in the sensor device set is the same as that of the target sensor device, and the sensor devices in the sensor device set are used to detect data in the same area; Acquire multidimensional data of each sensor device in the sensor device set to obtain a multidimensional data set; Performing weighted calculation on the multidimensional data set to obtain weighted multidimensional data; generating the processing solution according to the weighted multidimensional data and the preset multidimensional data standard; In the case where the target multidimensional data is temperature data and the target multidimensional data is from the prepolymerization reaction system, the multidimensional data set is obtained based on all temperature data in the target system; Acquire a sidewall temperature distribution of the target system according to the multidimensional data set; determining a target point in the target system and determining the shortest distance from the target point to a side wall of the target system; According to the shortest distance, a basic temperature difference is obtained; 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 sidewall temperature distribution and the corrected temperature difference to obtain the internal temperature distribution of the target system; updating the weighted multidimensional data according to the internal temperature distribution; Acquire an overall temperature distribution of the target system according to the sidewall temperature distribution and the internal temperature distribution; determining a high temperature region from the overall temperature distribution, wherein the temperature of the high temperature region is greater than a preset temperature threshold; Setting a stirring height according to the high temperature region, wherein the stirring height is consistent with the height of the high temperature region in the target system; Setting a stirring speed according to the high temperature area, wherein the stirring speed is related to the temperature of the high temperature area; generating a stirring instruction according to the stirring height and the stirring speed, wherein the stirring instruction is used to instruct a stirring blade in the target system to operate; Acquiring historical liquid level data of a target liquid level meter in the target system within a historical period; When the historical liquid level data satisfies periodicity, the overall viscosity of the PTT raw material is obtained according to the overall temperature distribution; Calculating a liquid level influence factor based on the stirring height and the stirring speed; Obtaining a theoretical liquid level deviation according to the overall viscosity and the liquid level influencing factor; Taking the liquid level data of the historical liquid level data within a unit period to obtain periodic liquid level data; In the event that the theoretical liquid level deviation does not match the periodic liquid level data, marking the target liquid level gauge as being in a temporary fault state; After marking the target liquid level gauge as being in a temporary fault state, the method further includes: Counting the number of liquid level meters in the target system that are in the temporary fault state; When the number of the instruments is greater than a preset number threshold, calculating the theoretical liquid level deviation and the actual liquid level deviation value of the periodic liquid level data; Obtaining the average duration of the liquid level meter being in the temporary fault state; Obtaining a material consumption volume according to the actual liquid level deviation value and the average duration; Setting an overflow area according to the material consumption volume; The overall temperature distribution is updated according to the overflow area.

2. The control method for the PTT production process according to claim 1, characterized in that: The method further comprises: When a change in the liquid level data of the target liquid level meter within a preset time period is less than a change threshold, obtaining an instrument position of the target liquid level meter in the target system; Taking the instrument position as a starting point, a target position is determined on a horizontal plane in a direction opposite to the stirring direction of the stirring blade, wherein the angle between the target position and the instrument position is a preset angle; An additional stirring instruction is generated according to the target position, and the additional stirring instruction is used to instruct the stirring blade to increase the stirring speed to a target stirring speed when the stirring blade reaches the target position.

3. 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 2, comprising: Acquisition module, used to obtain multidimensional data and confirm operations; A memory, configured to store a control method for the PTT production process; The program in the memory can be loaded and executed by the processor to implement the control method of the PTT production process.

4. An intelligent terminal, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the method according to any one of claims 1 to 2.

5. A computer-readable storage medium, characterized in that A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 2.

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