Rapid start-up system and method for Unipol polypropylene device

Abstract

The invention relates to the technical field of polypropylene production, and discloses a Unipol polypropylene device rapid start-up system and a Unipol polypropylene device rapid start-up method, a gas analyzer is started, the number of replacement times is determined according to the olefin volume, replacement is carried out according to the number of replacement times, and in the replacement process, the oxygen content and the moisture content are monitored in real time until replacement is completed; the method comprises the following steps: analyzing raw materials by adopting a raw material component analyzer to obtain raw material component data, and performing early warning on the raw material component data through an abnormal early warning mechanism; determining a catalyst injection amount of the Unipol polypropylene device based on an output result of the mathematical model; in the shutdown process, materials orderly flow into a buffer stock bin to be temporarily stored, according to the production state before shutdown and the requirement for subsequent start-up, the treatment amount of powder and the filling amount of a seed bed are controlled, and the generation situation of transition materials is monitored in real time through an online melt index instrument; the problem of pain points in the starting and stopping process of a traditional Unipol polypropylene device is solved in an all-around mode, and the efficient, accurate and energy-saving production target is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of polypropylene production, and particularly relates to a rapid start-up system and method for a Unipol polypropylene plant. Background Art

[0002] During the start-up process of traditional polypropylene plants, there are many problems to be solved; the replacement operation procedure is rough, only basic replacement processes are carried out, and the number of replacements cannot be accurately determined based on precise olefin volume calculations, which makes the replacement process extremely blind; on the one hand, it leads to an unnecessary extension of the replacement time, and a large amount of gas is consumed gratuitously during this process, increasing production costs; on the other hand, due to the inability to accurately control, the oxygen content and moisture content are difficult to stably meet the qualified standards, laying a hidden danger for subsequent production; the method for determining raw material components is simple and crude, only relying on conventional and rough analysis methods, lacking a warning mechanism for possible abnormal situations; once the raw material components deviate, it cannot be detected and adjusted in time during the production process, which will directly have a negative impact on product quality, resulting in unqualified product performance, and at the same time will seriously drag down production efficiency, causing production stagnation or a significant increase in the defective rate; during the preloading stage, operators mostly rely on personal experience for operation, lacking in-depth and systematic research on the variation laws of pressure and temperature, and not establishing a corresponding mathematical model as a support; this makes it difficult to accurately control the speed and amplitude of preloading, and it is easy to deviate; in the catalyst injection link, the calculation method of the injection amount is not precise enough, relying entirely on empirical estimation, and there is a lack of effective monitoring means during the injection process, resulting in either too much catalyst injection causing waste and increasing production costs, or too little injection being unable to meet production requirements and affecting product quality, and the instability of the injection process may also cause a series of production failures; the shutdown process also has many problems, the material recycling efficiency is extremely low, and a large amount of precious materials are wasted; the operation processes of powder handling and seed bed filling are not optimized, and efficient material conversion and utilization cannot be achieved; in addition, the sampling frequency is low, resulting in untimely acquisition of key data during the production process, making it difficult to accurately grasp the production dynamics, and there is a lack of effective means for controlling transitional materials, resulting in a large amount of transitional materials being generated during the shutdown process, not only occupying storage space, but also consuming additional costs for subsequent processing. Summary of the Invention

[0003] The purpose of the present invention is to solve the above problems and design a rapid start-up system and method for a Unipol polypropylene plant.

[0004] The first aspect of the present invention provides a rapid start-up system for a Unipol polypropylene plant, and the rapid start-up system for a Unipol polypropylene plant includes a replacement module, a raw material analysis module, a catalyst injection module, and a shutdown material handling module, wherein,

[0005] A replacement module is used to start a gas analyzer to detect the initial gas in the Unipol polypropylene plant to obtain the key indicators of the initial gas, calculate the olefin volume by combining the key indicators and the volume data inside the Unipol polypropylene plant, determine the replacement times based on the olefin volume, and perform replacements according to the replacement times. During the replacement process, the oxygen content and moisture content are monitored in real time until the replacement is completed, where the key indicators of the initial gas at least include olefin content, oxygen content, and moisture content;

[0006] A raw material analysis module is used to analyze the raw materials using a raw material composition analyzer to obtain raw material component data, and issue early warnings for the raw material component data through an anomaly warning mechanism, where the raw material component data at least includes the main components and trace impurities of the raw materials;

[0007] A catalyst injection module is used to establish a mathematical model through simulation experiments and the collection and analysis of actual production data, and determine the catalyst injection amount of the Unipol polypropylene plant based on the output results of the mathematical model. The mathematical model predicts the trend changes during the preloading process according to the parameters of the Unipol polypropylene plant, and the parameters of the Unipol polypropylene plant at least include the volume of the reactor, the initial temperature, and the pressure setting value;

[0008] A shutdown material handling module is used to make the materials flow into the buffer silo in an orderly manner for temporary storage during the shutdown process. According to the production status before shutdown and the requirements for subsequent startup, control the processing amount of the powder and the filling amount of the seed bed, and use an on-line melt indexer to monitor the generation of transition materials in real time. Once it is found that the generation trend of the transition materials is abnormal, adjust the parameters to control the generation amount of the transition materials below the preset level.

[0009] The second aspect of the present invention provides a rapid startup method for a Unipol polypropylene plant. The rapid startup method for the Unipol polypropylene plant includes the following steps:

[0010] S1. Start a gas analyzer to detect the initial gas in the Unipol polypropylene plant to obtain the key indicators of the initial gas, calculate the olefin volume by combining the key indicators and the volume data inside the Unipol polypropylene plant, determine the replacement times based on the olefin volume, and perform replacements according to the replacement times. During the replacement process, the oxygen content and moisture content are monitored in real time until the replacement is completed, where the key indicators of the initial gas at least include olefin content, oxygen content, and moisture content;

[0011] S2. Analyze the raw materials using a raw material composition analyzer to obtain raw material component data, and issue early warnings for the raw material component data through an anomaly warning mechanism, where the raw material component data at least includes the main components and trace impurities of the raw materials;

[0012] S3. Establish a mathematical model through simulation experiments and the collection and analysis of actual production data, and determine the catalyst injection amount of the Unipol polypropylene plant based on the output result of the mathematical model, where the mathematical model predicts the trend changes during the preloading process according to the parameters of the Unipol polypropylene plant, and the parameters of the Unipol polypropylene plant at least include the volume of the reactor, the initial temperature, and the pressure set value;

[0013] S4. During the shutdown process, the materials flow into the buffer silo in an orderly manner for temporary storage. According to the production status before shutdown and the requirements for subsequent startup, control the processing amount of the powder and the filling amount of the seed bed, and use an on-line melt indexer to monitor the generation of transitional materials in real time. Once it is found that the generation trend of transitional materials is abnormal, adjust the parameters to control the generation amount of transitional materials below the preset level.

[0014] Optionally, in the first implementation manner of the second aspect of the present invention, step S1 specifically includes the following process:

[0015] Turn on the power of the gas analyzer and preheat it. The preheating time is 15 - 30 minutes. After the gas analyzer is preheated, carefully insert the sampling probe into the sampling port of the Unipol polypropylene plant;

[0016] Start the detection program of the gas analyzer to measure the key indicators in the initial gas, including the content of olefin substances, the content of impurity gases, the oxygen content, and the moisture content. Record the data every 1 - 2 minutes during the detection process, and take the average value as the final detection result;

[0017] According to the key indicators of the initial gas measured by the gas analyzer, calculate the total volume of olefins in the device in combination with the volume data inside the Unipol polypropylene plant, and determine the replacement times through the total volume of olefins in the device;

[0018] Connect the replacement gas source and open the replacement gas valve. According to the calculated replacement times, slowly and evenly introduce the replacement gas into the Unipol polypropylene plant, where the replacement gas flow rate is 0.5 - 1 times the volume of the device per hour;

[0019] During the replacement process, continuously monitor the oxygen content and moisture content of the gas in the device in real time using the gas analyzer, and the monitoring frequency is once every 5 minutes;

[0020] When the oxygen content and moisture content obtained from three consecutive detections are both stable at the preset safety threshold, and there are no abnormal fluctuations in the pressure and temperature parameters in the device, the replacement is completed.

[0021] Optionally, in the second implementation manner of the second aspect of the present invention, during the replacement process, the safety thresholds for the oxygen content and the moisture content are that the oxygen content is less than 0.5% and the moisture content is less than 10 ppm.

[0022] Optionally, in the third implementation manner of the second aspect of the present invention, step S2 specifically includes the following process:

[0023] Inject the raw material sample into the sampling device of the raw material component analyzer, start the detection program of the raw material component analyzer, set the analysis mode for hydrocarbons for the polypropylene raw material, monitor the propylene monomer purity, comonomer, and possible trace impurities, and obtain the raw material component data, where the analysis duration is 15 - 30 minutes, and data is recorded every 2 - 3 minutes;

[0024] Input the obtained raw material component data into a pre - trained raw material analysis model, perform multi - dimensional analysis through the raw material analysis model, and immediately trigger an alarm when the raw material component data exceeds the warning threshold. The raw material analysis model is trained through historical raw material data, and the warning threshold is dynamically adjusted by deeply learning the correlations between the various components of the raw material and the change trends of the raw material at different production stages.

[0025] Optionally, in the fourth implementation manner of the second aspect of the present invention, the construction process of the mathematical model in step S3 includes:

[0026] Precisely configure the AspenPlus simulation software according to the actual operating conditions of the Unipol polypropylene plant, including setting material properties, reaction kinetic parameters, heat transfer and mass transfer correlations;

[0027] Construct a virtual model of the Unipol polypropylene plant in the simulation software, and simulate each link from raw material feeding, heating and pressurizing, reaction initiation to product discharging according to the actual production process, and monitor the change trends of various indicators during the pre - load stage of the simulation process, including the decay rate of reactant concentration over time, the evolution of polymer molecular weight distribution, and the heat generation rate;

[0028] During the normal operation of the Unipol polypropylene plant, use a sensor network to collect real - time and continuous data on the temperature, pressure, and material flow rate in the reaction kettle, and detect the product composition and polymer particle size, so as to establish a mathematical model through simulation experiments and the collection and analysis of actual production data.

[0029] Optionally, in the fifth implementation manner of the second aspect of the present invention, in step S3, the support vector machine is used as the basic model for the mathematical model. The input parameters of the mathematical model are the reactor volume, initial temperature, pressure set value, raw material characteristics, and dynamic parameters during the operation process. The output results of the mathematical model are the catalyst injection amount and the predicted values of the key trend changes during the preloading process.

[0030] Optionally, in the sixth implementation manner of the second aspect of the present invention, step S4 specifically includes the following process:

[0031] After starting the shutdown procedure, the materials flow into the buffer silo in an orderly manner for temporary storage. A flow meter is used to measure the materials flowing into the buffer silo in real time. Multiple level sensors are arranged inside the buffer silo to monitor the filling condition of the silo in real time. When the level reaches 80%, the material inflow speed is adjusted to prevent the silo from overflowing;

[0032] Connect the on-line melt indexer to the sampling port of the material conveying pipeline or the buffer silo to obtain the transition material sample in real time. The melt indexer measures the melt index of the transition material according to a detection cycle of once every 5 - 10 minutes, and monitors the chemical composition and molecular weight distribution of the transition material in combination with a chromatograph analyzer or an infrared spectrometer;

[0033] When it is found that the generation trend of the transition material is abnormal, an adjustment plan is formulated according to the type and change degree of the abnormal index.

[0034] In the technical solution provided by the present invention, a gas analyzer is started to detect the initial gas in the Unipol polypropylene plant to obtain the key indicators of the initial gas. The olefin volume is calculated by combining the key indicators and the volume data inside the Unipol polypropylene plant. The replacement times are determined according to the olefin volume, and replacement is carried out according to the replacement times. During the replacement process, the oxygen content and moisture content are monitored in real time until the replacement is completed; a raw material composition analyzer is used to analyze the raw materials to obtain the raw material component data, and the raw material component data is warned through an abnormal warning mechanism; a mathematical model is established through simulation experiments and the collection and analysis of actual production data, and the catalyst injection amount of the Unipol polypropylene plant is determined based on the output results of the mathematical model; during the shutdown process, the materials flow into the buffer silo in an orderly manner for temporary storage. According to the production state before shutdown and the requirements for subsequent start-up, the processing amount of the powder and the injection amount of the seed bed are controlled. The on-line melt indexer is used to monitor the generation of the transition material in real time. Once it is found that the generation trend of the transition material is abnormal, the parameters are adjusted to control the generation amount of the transition material below the preset level; the present invention comprehensively solves the pain points in the start-up and shutdown processes of the traditional Unipol polypropylene plant, realizes the production goals of high efficiency, precision, and energy saving, and injects new impetus into the development of the polypropylene industry. Description of the Drawings

[0035] Upon reading the following detailed description of the preferred embodiments, various other advantages and benefits will become apparent to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention.

[0036] Figure 1 Schematic diagram of the first embodiment of the rapid start-up method for the Unipol polypropylene plant provided by the embodiment of the present invention;

[0037] Figure 2 Schematic diagram of the second embodiment of the rapid start-up method for the Unipol polypropylene plant provided by the embodiment of the present invention;

[0038] Figure 3 Schematic diagram of the third embodiment of the rapid start-up method for the Unipol polypropylene plant provided by the embodiment of the present invention;

[0039] Figure 4 Schematic diagram of the structure of the rapid start-up system for the Unipol polypropylene plant provided by the embodiment of the present invention. Detailed implementation manners

[0040] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above drawings are used to distinguish similar objects and do not necessarily have to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" or "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product, or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0041] For ease of understanding, the specific processes of the embodiments of the present invention are described below. Please refer to Figure 1 Schematic diagram of the first embodiment of the rapid start-up method for the Unipol polypropylene plant provided by the embodiment of the present invention. The method specifically includes the following steps:

[0042] S1. Start the gas analyzer, detect the initial gas in the Unipol polypropylene plant to obtain the key indicators of the initial gas, calculate the olefin volume by combining the key indicators and the volume data inside the Unipol polypropylene plant, determine the number of replacements based on the olefin volume, and perform replacements according to the number of replacements. During the replacement process, monitor the oxygen content and moisture content in real time until the replacement is completed;

[0043] In this embodiment, the key indicators of the initial gas at least include olefin content, oxygen content, and moisture content;

[0044] S2. Analyze the raw materials using a raw material component analyzer to obtain raw material component data, and issue a warning for the raw material component data through an anomaly warning mechanism;

[0045] In this embodiment, the raw material component data at least includes the main components and trace impurities of the raw materials;

[0046] S3. Establish a mathematical model through simulation experiments and the collection and analysis of actual production data, and determine the catalyst injection amount of the Unipol polypropylene plant based on the output results of the mathematical model;

[0047] In this embodiment, the mathematical model predicts the trend changes during the preloading process according to the parameters of the Unipol polypropylene plant. The parameters of the Unipol polypropylene plant at least include the volume of the reaction kettle, the initial temperature, and the pressure setting value;

[0048] In this embodiment, the construction process of the mathematical model in step S3 includes: accurately configuring the AspenPlus simulation software according to the actual operating conditions of the Unipol polypropylene plant, including setting material properties, reaction kinetic parameters, and heat and mass transfer correlation formulas; constructing a virtual model of the Unipol polypropylene plant in the simulation software, and simulating each link from raw material feeding, heating and pressurizing, reaction initiation to product discharging according to the actual production process, and monitoring the change trends of various indicators during the preloading stage of the simulation process, including the decay rate of reactant concentration over time, the evolution of polymer molecular weight distribution, and the heat generation rate; during the normal operation of the Unipol polypropylene plant, use a sensor network to collect real-time and continuous data on the temperature, pressure, and material flow in the reaction kettle, and detect the product composition and polymer particle size, so as to establish a mathematical model through simulation experiments and the collection and analysis of actual production data.

[0049] In this embodiment, in step S3, the mathematical model uses a support vector machine as the basic model. The input parameters of the mathematical model are the volume of the reaction kettle, the initial temperature, the pressure setting value, the raw material characteristics, and the dynamic parameters during the operation process. The output results of the mathematical model are the catalyst injection amount and the predicted values of the key trend changes during the preloading process.

[0050] S4. During the shutdown process, the materials flow into the buffer silo in an orderly manner for temporary storage. According to the production status before shutdown and the requirements for subsequent startup, control the processing amount of the powder and the filling amount of the seed bed, and use an on-line melt indexer to monitor the generation of transition materials in real time. Once the abnormal trend of transition material generation is found, adjust the parameters to control the generation amount of transition materials below the preset level.

[0051] In this embodiment, step S4 specifically includes the following processes: After starting the parking program, the materials flow into the buffer silo in an orderly manner for temporary storage. A flow meter is used to measure the materials flowing into the buffer silo in real time. Multiple level sensors are arranged inside the buffer silo to monitor the filling condition of the silo in real time. When the material level reaches 80%, the inflow rate of the materials is adjusted to prevent the silo from overflowing. Connect the online melt indexer to the sampling port of the material conveying pipeline or the buffer silo to obtain the transition material sample in real time. The melt indexer measures the melt index of the transition material according to a detection cycle of once every 5 - 10 minutes, and monitors the chemical composition and molecular weight distribution of the transition material in combination with a chromatograph analyzer or an infrared spectrometer. When it is found that the generation trend of the transition material is abnormal, an adjustment plan is formulated according to the type and change degree of the abnormal index.

[0052] Please refer to Figure 2 , the schematic diagram of the second embodiment of the rapid start-up method of the Unipol polypropylene plant provided by the embodiment of the present invention. This method includes:

[0053] S11. Connect the power supply of the gas analyzer, turn it on and preheat for 15 - 30 minutes. After the gas analyzer is preheated, carefully insert the sampling probe into the sampling port of the Unipol polypropylene plant.

[0054] S12. Start the detection program of the gas analyzer to measure the key indicators in the initial gas, including the content of olefin substances, the content of impurity gases, the oxygen content, and the moisture content. Record the data once every 1 - 2 minutes during the detection process, and take the average value as the final detection result.

[0055] S13. According to the key indicators of the initial gas measured by the gas analyzer, calculate the total volume of olefins in the device in combination with the volume data inside the Unipol polypropylene plant, and determine the replacement times through the total volume of olefins in the device.

[0056] S14. Connect the replacement gas source and open the replacement gas valve, and slowly and evenly introduce the replacement gas into the Unipol polypropylene plant according to the calculated replacement times.

[0057] In this embodiment, the replacement gas flow rate is 0.5 - 1 times the volume of the device per hour.

[0058] S15. During the replacement process, continuously monitor the oxygen content and moisture content of the gas in the device in real time by using the gas analyzer, and the monitoring frequency is once every 5 minutes.

[0059] S16. When the oxygen content and moisture content obtained from three consecutive detections are both stable at the preset safety threshold, and there are no abnormal fluctuations in the pressure and temperature parameters in the device, the replacement is completed.

[0060] In this embodiment, during the replacement process, the safety thresholds for oxygen content and moisture content are that the oxygen content is less than 0.5% and the moisture content is less than 10 ppm.

[0061] Please refer to Figure 3 , a schematic diagram of the third embodiment of the method for quickly starting up a Unipol polypropylene plant provided by an embodiment of the present invention. The method includes:

[0062] S21. Inject a raw material sample into the sampling device of a raw material component analyzer, start the detection program of the raw material component analyzer, set the analysis mode for hydrocarbons for the polypropylene raw material, monitor the purity of propylene monomers, comonomers, and possible trace impurities, and obtain raw material component data;

[0063] In this embodiment, the analysis duration is 15 - 30 minutes, and data is recorded every 2 - 3 minutes;

[0064] S22. Input the obtained raw material component data into a pre - trained raw material analysis model, perform multi - dimensional analysis through the raw material analysis model, and immediately trigger an alarm when the raw material component data exceeds the warning threshold;

[0065] In this embodiment, the raw material analysis model is trained through historical raw material data, and the raw material analysis model dynamically adjusts the warning threshold by deeply learning the correlations between various components of the raw material and the change trends of the raw material at different production stages.

[0066] Please refer to Figure 4 , a schematic diagram of the structure of a Unipol polypropylene plant quick - start system provided by an embodiment of the present invention. The system includes a replacement module, a raw material analysis module, a catalyst injection module, and a parking material processing module. Among them,

[0067] The replacement module is used to start a gas analyzer, detect the initial gas in the Unipol polypropylene plant to obtain the key indicators of the initial gas, calculate the olefin volume by combining the key indicators and the volume data inside the Unipol polypropylene plant, determine the replacement times based on the olefin volume, perform replacement according to the replacement times, and monitor the oxygen content and moisture content in real - time during the replacement process until the replacement is completed. The key indicators of the initial gas at least include olefin content, oxygen content, and moisture content;

[0068] The raw material analysis module is used to analyze the raw material using a raw material component analyzer to obtain raw material component data, and perform early warning on the raw material component data through an abnormal early warning mechanism. The raw material component data at least includes the main components and trace impurities of the raw material;

[0069] The catalyst injection module is used to establish a mathematical model through simulation experiments and the collection and analysis of actual production data, and determine the catalyst injection amount of the Unipol polypropylene plant based on the output results of the mathematical model. The mathematical model predicts the trend changes during the preloading process according to the parameters of the Unipol polypropylene plant, and the parameters of the Unipol polypropylene plant at least include the volume of the reactor, the initial temperature, and the pressure set value;

[0070] The shutdown material handling module is used to make the materials flow into the buffer silo orderly for temporary storage during the shutdown process. According to the production status before shutdown and the requirements for subsequent startup, it controls the processing amount of the powder and the filling amount of the seed bed, and uses an on-line melt indexer to monitor the generation of transition materials in real time. Once it is found that the generation trend of the transition materials is abnormal, it adjusts the parameters to control the generation amount of the transition materials below the preset level.

[0071] Through the implementation of the above solutions, an accurate and scientific replacement procedure is established, and the number of replacements is determined by calculating parameters such as the volume of olefins; the method for determining the raw material components is optimized and an abnormal warning mechanism is established; the preloading law is deeply studied to establish a mathematical model, the calculation method for the catalyst injection amount is optimized and monitoring is established; during shutdown, the buffer silo is used for material recovery and seed bed filling, the sampling frequency is increased, and the on-line melt indexer is used to control the generation of transition materials, significantly shortening the startup and shutdown time of the plant, improving the startup and shutdown efficiency, precisely controlling, reducing the generation of transition materials during startup production, and improving the product quality. By optimizing the process and precise control, gas consumption is saved, catalyst waste is avoided, etc., which has potential economic value.

[0072] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification are only preferred examples of the present invention and are not used to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A Unipol polypropylene plant rapid start-up system, characterized in that: The Unipol polypropylene unit rapid start-up system includes a replacement module, a raw material analysis module, a catalyst injection module and a parking material processing module, wherein: A replacement module is used to start a gas analyzer, detect the initial gas in the Unipol polypropylene device to obtain key indicators of the initial gas, calculate the olefin volume in combination with the key indicators and the volume data inside the Unipol polypropylene device, determine the number of replacements according to the olefin volume, perform replacement according to the number of replacements, and monitor the oxygen content and moisture content in real time during the replacement process until the replacement is completed, wherein the key indicators of the initial gas include at least the olefin content, the oxygen content and the moisture content; A raw material analysis module, which is used to analyze the raw material using a raw material component analyzer to obtain raw material component data, and to issue an early warning for the raw material component data through an abnormal early warning mechanism, wherein the raw material component data at least includes the main components and trace impurities of the raw material; A catalyst injection module, for establishing a mathematical model through simulation experiments and collection and analysis of actual production data, and determining the catalyst injection amount of the Unipol polypropylene unit based on the output results of the mathematical model, wherein the mathematical model predicts the trend change during the preload process according to the parameters of the Unipol polypropylene unit, and the parameters of the Unipol polypropylene unit at least include the volume, initial temperature and pressure setting value of the reactor; The parking material processing module is used to ensure that materials flow into the buffer silo for temporary storage in an orderly manner during the parking process. According to the production status before parking and the needs of subsequent start-up, the powder processing volume and seed bed filling volume are controlled. The online melt index meter is used to monitor the generation of transition materials in real time. Once the transition material generation trend is found to be abnormal, the parameters are adjusted to control the generation of transition materials below the preset level.

2. A method for rapid start-up of a Unipol polypropylene device, characterized in that: The Unipol polypropylene unit rapid start-up method comprises the following steps: S1. Start a gas analyzer to detect the initial gas in the Unipol polypropylene device to obtain key indicators of the initial gas, calculate the olefin volume by combining the key indicators and the volume data inside the Unipol polypropylene device, determine the number of replacements by the olefin volume, perform replacement according to the number of replacements, and monitor the oxygen content and moisture content in real time during the replacement process until the replacement is completed, wherein the key indicators of the initial gas include at least the olefin content, the oxygen content and the moisture content; S2. Analyze the raw materials using a raw material component analyzer to obtain raw material component data, and issue an early warning for the raw material component data using an abnormal early warning mechanism, wherein the raw material component data includes at least the main components and trace impurities of the raw materials; S3. Establishing a mathematical model through simulation experiments and collection and analysis of actual production data, and determining the catalyst injection amount of the Unipol polypropylene unit based on the output results of the mathematical model, wherein the mathematical model predicts the trend change during the preload process according to the parameters of the Unipol polypropylene unit, and the parameters of the Unipol polypropylene unit include at least the volume, initial temperature and pressure setting value of the reactor; S4. During the parking process, materials flow into the buffer silo in an orderly manner for temporary storage. According to the production status before the parking and the needs of subsequent production, the powder processing volume and the seed bed filling volume are controlled. The online melt index meter is used to monitor the generation of transition materials in real time. Once the generation trend of transition materials is found to be abnormal, the parameters are adjusted to control the generation of transition materials below the preset level.

3. A method for rapid start-up of a Unipol polypropylene device as claimed in claim 2, characterized in that: Step S1 specifically includes the following process: Connect the power of the gas analyzer and start preheating for 15-30 minutes. After the preheating of the gas analyzer is complete, carefully insert the sampling probe into the sampling port of the Unipol polypropylene device. Start the detection program of the gas analyzer to measure the key indicators in the initial gas, including the content of olefin substances, impurity gas content, oxygen content and moisture content. During the detection process, record the data every 1-2 minutes and take the average value as the final test result; The total volume of olefins in the unit is calculated based on the key indicators of the initial gas measured by the gas analyzer and the volume data inside the Unipol polypropylene unit, and the number of replacements is determined by the total volume of olefins in the unit; Connect the replacement gas source and open the replacement gas valve. According to the calculated replacement times, slowly and evenly introduce the replacement gas into the Unipol polypropylene device, where the replacement gas flow rate is 0.5-1 times the device volume per hour; During the replacement process, the oxygen content and moisture content of the gas in the device are continuously monitored in real time using a gas analyzer, with a monitoring frequency of once every 5 minutes; When the oxygen content and moisture content obtained from three consecutive tests are stable at the preset safety threshold and there is no abnormal fluctuation in the pressure and temperature parameters in the device, the replacement is completed.

4. A method for rapid start-up of a Unipol polypropylene device as claimed in claim 3, characterized in that: During the replacement process, the safety thresholds of oxygen content and moisture content are oxygen content below 0.5% and moisture content below 10 ppm.

5. A method for rapid startup of a Unipol polypropylene device as claimed in claim 1, characterized in that: Step S2 specifically includes the following process: Inject the raw material sample into the sample injection device of the raw material component analyzer, start the detection program of the raw material component analyzer, set the analysis mode of hydrocarbons for the polypropylene raw material, monitor the purity of propylene monomer, comonomer and possible trace impurities, and obtain the raw material component data, wherein the analysis time is 15-30 minutes, and the data is recorded every 2-3 minutes; The raw material component data obtained from the analysis is input into a pre-trained raw material analysis model, and a multi-dimensional analysis is performed through the raw material analysis model. When the raw material component data exceeds the warning threshold, an alarm is triggered immediately. The raw material analysis model is trained with historical raw material data, and the raw material analysis model dynamically adjusts the warning threshold through deep learning of the relationship between the various components of the raw materials and the changing trends of raw materials at different production stages.

6. A method for rapid startup of a Unipol polypropylene device as claimed in claim 1, characterized in that: The construction process of the mathematical model in step S3 includes: In AspenPlus simulation software, the software is precisely configured according to the actual operating conditions of the Unipol polypropylene unit, including setting material properties, reaction kinetic parameters, and heat and mass transfer correlations; A virtual model of the Unipol polypropylene unit was constructed in the simulation software. According to the actual production process, each link from raw material feeding, temperature and pressure increase, reaction initiation to product discharge was simulated. The changing trend of various indicators in the preload stage during the simulation process was monitored, including the decay rate of reactant concentration over time, the evolution of polymer molecular weight distribution, and the heat generation rate. During normal operation of the Unipol polypropylene unit, a sensor network is used to collect real-time and continuous data on the temperature, pressure, and material flow rate in the reactor, and to detect product composition and polymer particle size, in order to establish a mathematical model through simulation experiments and the collection and analysis of actual production data.

7. A method for rapid startup of a Unipol polypropylene device as claimed in claim 1, characterized in that: In step S3, the mathematical model uses a support vector machine as the basic model. The input parameters of the mathematical model are the reactor volume, initial temperature, pressure setting value, raw material characteristics and dynamic parameters during operation. The output results of the mathematical model are the catalyst injection amount and the predicted value of key trend changes during the preloading process.

8. A method for rapid startup of a Unipol polypropylene device as claimed in claim 1, characterized in that: Step S4 specifically includes the following process: After the parking procedure is started, the materials flow into the buffer silo in an orderly manner for temporary storage. The flow meter is used to measure the materials flowing into the buffer silo in real time. Multiple material level sensors are set inside the buffer silo to monitor the filling status of the silo in real time. When the material level reaches 80%, the material inflow speed is adjusted to prevent the silo from overflowing. Connect the online melt index meter to the sampling port of the material conveying pipeline or buffer silo to obtain the transition material sample in real time. The melt index meter measures the melt index of the transition material according to the detection cycle of every 5-10 minutes, and monitors the chemical composition and molecular weight distribution of the transition material in combination with a chromatographic analyzer or infrared spectrometer; When abnormal transition material generation trends are found, an adjustment plan will be developed based on the type and degree of change of abnormal indicators.

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