CN114495686A - Real-time simulation method and system for industrial catalytic cracking device - Google Patents

Real-time simulation method and system for industrial catalytic cracking device Download PDF

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CN114495686A
CN114495686A CN202210093986.6A CN202210093986A CN114495686A CN 114495686 A CN114495686 A CN 114495686A CN 202210093986 A CN202210093986 A CN 202210093986A CN 114495686 A CN114495686 A CN 114495686A
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catalytic cracking
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杜文莉
隆建
钱锋
钟伟民
杨明磊
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East China University of Science and Technology
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    • B01J8/18—Chemical or physical processes in general, conducted in the presence of fluids and solid particles; Apparatus for such processes with fluidised particles
    • B01J8/24—Chemical or physical processes in general, conducted in the presence of fluids and solid particles; Apparatus for such processes with fluidised particles according to "fluidised-bed" technique
    • C—CHEMISTRY; METALLURGY
    • C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
    • C10G—CRACKING HYDROCARBON OILS; PRODUCTION OF LIQUID HYDROCARBON MIXTURES, e.g. BY DESTRUCTIVE HYDROGENATION, OLIGOMERISATION, POLYMERISATION; RECOVERY OF HYDROCARBON OILS FROM OIL-SHALE, OIL-SAND, OR GASES; REFINING MIXTURES MAINLY CONSISTING OF HYDROCARBONS; REFORMING OF NAPHTHA; MINERAL WAXES
    • C10G11/00—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils
    • C10G11/14—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils with preheated moving solid catalysts
    • C10G11/18—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils with preheated moving solid catalysts according to the "fluidised-bed" technique
    • C—CHEMISTRY; METALLURGY
    • C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
    • C10G—CRACKING HYDROCARBON OILS; PRODUCTION OF LIQUID HYDROCARBON MIXTURES, e.g. BY DESTRUCTIVE HYDROGENATION, OLIGOMERISATION, POLYMERISATION; RECOVERY OF HYDROCARBON OILS FROM OIL-SHALE, OIL-SAND, OR GASES; REFINING MIXTURES MAINLY CONSISTING OF HYDROCARBONS; REFORMING OF NAPHTHA; MINERAL WAXES
    • C10G11/00—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils
    • C10G11/14—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils with preheated moving solid catalysts
    • C10G11/18—Catalytic cracking, in the absence of hydrogen, of hydrocarbon oils with preheated moving solid catalysts according to the "fluidised-bed" technique
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Abstract

The invention relates to the technical field of industrial catalytic cracking, in particular to a real-time simulation method and a real-time simulation system of an industrial catalytic cracking device. The method comprises the following steps: step S1, collecting factory production data; step S2, calculating through a catalytic cracking full-process mechanism model to obtain simulation data; step S3, judging whether the deviation between the simulation data and the actual production data exceeds a set value, if so, entering step S4, otherwise, entering step S5; s4, updating a catalytic cracking full-process mechanism model by using the minimum objective function of the simulation data of key products and the factory production data based on the dynamic rate form of the reaction process and the balance equation in the reactor, and entering the step S2; and step S5, displaying the simulation data. The invention provides a friendly human-computer interface, realizes accurate simulation prediction of the model on the device operation characteristic, and improves the perception agility and the prejudgment accuracy of industrial catalytic cracking production.

Description

Real-time simulation method and system for industrial catalytic cracking device
Technical Field
The invention relates to the technical field of industrial catalytic cracking, in particular to a real-time simulation method and a real-time simulation system of an industrial catalytic cracking device.
Background
In recent years, petrochemical enterprises in China continuously try to combine with internet application technology, and enter a new stage of intelligent integration and systematization. With the development of various data analysis technologies such as device planning, supply, production, etc., technologies for performing global optimization and decision-making of a fast positioning device through a mechanism model and data analysis have received wide attention.
Fluid Catalytic Cracking (FCC) units are a versatile and profitable unit common in modern oil refineries that convert heavy distillates and residual feedstocks into lighter and more valuable products. The catalytic cracking apparatus is a conventional convention for a fluid catalytic cracking apparatus, and hereinafter, is referred to as a catalytic cracking apparatus.
The catalytic cracking unit not only contributes greatly to the production of gasoline, but also is an important provider of raw materials (such as light olefin) in the petrochemical industry, and not only can produce products such as gasoline and diesel oil, but also can provide propylene raw materials for chemical production, and provide steam, fuel gas and the like for a whole plant.
The catalytic cracking unit plays an important role in oil refineries of various countries in the world, is a main secondary processing unit, and has the total processing capacity exceeding the sum of hydrocracking, coking and visbreaking. It follows that the catalytic cracking unit makes a great contribution to the overall profitability of the refinery.
Currently, simulation systems such as a PI (platform Information System), LIMS (Laboratory Information Management System), and MES (manufacturing execution System) System are built for a catalytic cracker, but the following problems exist in the existing systems:
1) the integration with the existing computer simulation technology is lacked, the simulation mechanism model is old, and the simulation real-time performance and the accuracy of the catalytic cracking unit are poor;
2) the integration, operability and visualization are poor, and no friendly human-computer interface exists.
Therefore, a new real-time simulation method and system for an industrial catalytic cracking unit are needed.
Disclosure of Invention
The invention aims to provide a real-time simulation method and a real-time simulation system for an industrial catalytic cracking unit, and solves the problem that a catalytic cracking unit simulation system in the prior art is poor in real-time performance and accuracy.
In order to achieve the above object, the present invention provides a real-time simulation method for an industrial catalytic cracking unit, comprising the steps of:
step S1, collecting factory production data;
s2, receiving and storing factory production data, preprocessing the factory production data, and calculating through a catalytic cracking full-process mechanism model to obtain simulation data;
step S3, comparing the simulation data with the actual production data, judging whether the deviation between the simulation data and the actual production data exceeds a set value, if so, entering step S4, otherwise, entering step S5;
s4, updating a catalytic cracking full-process mechanism model by using the minimum objective function of the simulation data of key products and the factory production data based on the dynamic rate form of the reaction process and the balance equation in the reactor, and entering the step S2;
and step S5, displaying the simulation data.
In an embodiment, the target function is a logcase function, and the corresponding expression is as follows:
Figure BDA0003490343090000021
wherein the content of the first and second substances,
Figure BDA0003490343090000022
simulation data value y representing key product component i under specified working conditioniAnd (3) representing the actual factory production value of the key product component i under the specified working condition, wherein n is the total number of the components, and L is a Logcash function.
In one embodiment, the step S2 further includes:
comparing the collected factory production data with a preset normal operation data range;
if the collected factory production data exceeds the normal operation data range by a certain value, correcting the currently collected factory production data, and setting the currently collected factory production data as an input value of a catalytic cracking full-process mechanism model when the previous round of device operates;
otherwise, the currently collected factory production data is not corrected.
In an embodiment, in step S2, the preprocessing the factory production data further includes:
and deleting abnormal point data, and filling missing data and normalized data.
In an embodiment, the step S2, the filling missing data further includes:
and calculating the correlation degree of the missing data variable and the data integrity variable based on a random forest algorithm, and filling the missing data according to a multi-dimensional linear interpolation method.
In one embodiment, the step S2, filling missing data according to a multi-dimensional linear interpolation method, further includes:
filling linear filling value y of target variable of missing data by using linear interpolation method according to data before and after missing valuea,1；
Calculating a fill value y of a linear fill-in method for a dependent variableb,1；
Calculating the actual value y of the dependent variableb,2And a fill value yb,1Difference value Δ ofb＝yb,2-yb,1；
Calculating the target variable actual fill value ya,2And linear fill value ya,1Difference value Δ ofa＝ya,2-ya,1I.e. the actual fill value ya,2＝ya,1+Δa；
Calculating system fluctuation in blank time period by multiple linear regression method according to formula
Figure BDA0003490343090000031
Calculate out
Figure BDA0003490343090000032
Actual fill value y of target variablea,2The following expression is satisfied:
Figure BDA0003490343090000033
in one embodiment, the catalytic cracking full flow mechanistic model is constructed using a hydrocarbon reaction kinetic reaction system coupled to a carbon number distribution, a sulfur distribution, and a nitrogen distribution.
In one embodiment, the catalytic cracking full flow mechanism model is constructed by the following method:
characterizing the raw oil;
according to the reaction mechanism, dividing the components of the raw oil;
dividing a reaction network;
and establishing a reaction kinetic model.
In an embodiment, the step S5, further includes:
and generating a real-time simulation flow chart, a historical trend comparison chart, model dynamics parameters and a material balance table from the simulation data, and displaying the simulation data, the actual production data and the model core dynamics parameters on a page.
In an embodiment, after the step S4, the method further includes:
monitoring the catalytic cracking full-process mechanism model according to a set operation period, and judging whether the catalytic cracking full-process mechanism model is updated;
if the catalytic cracking full-flow mechanism model is not updated after the preset time, the model is considered to be in error, and error information is sent to remind;
and if the catalytic cracking full-flow mechanism model is updated in a preset time, the model is considered to be normal, and normal information is sent to archive.
In order to achieve the above object, the present invention provides a real-time simulation system of an industrial catalytic cracking unit, comprising:
a memory for storing instructions executable by the processor;
a processor for executing the instructions to implement the method of any one of the above.
To achieve the above object, the present invention provides a computer storage medium having computer instructions stored thereon, wherein the computer instructions, when executed by a processor, perform the method as described in any one of the above.
The real-time simulation method and the real-time simulation system for the industrial catalytic cracking device provided by the invention have the advantages that a friendly human-computer interface is provided, meanwhile, the accurate simulation prediction of the model on the operation characteristics of the device is realized, and the perception agility and the prejudgment accuracy of the industrial catalytic cracking production are improved.
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The above and other features, properties and advantages of the present invention will become more apparent from the following description of the embodiments with reference to the accompanying drawings in which like reference numerals denote like features throughout the several views, wherein:
FIG. 1 discloses a flow diagram of a method for real-time simulation of an industrial catalytic cracking unit according to an embodiment of the invention;
FIG. 2 discloses a schematic block diagram of a real-time simulation apparatus of an industrial catalytic cracking unit according to an embodiment of the present invention;
FIG. 3 discloses a software programming diagram of a real-time simulation unit of an industrial catalytic cracking unit according to an embodiment of the present invention;
FIG. 4 discloses a flow diagram of the operation of an industrial catalytic cracking unit real-time simulation unit according to an embodiment of the present invention;
FIG. 5a discloses a feed mixing system flow diagram for a real-time simulation unit of an industrial catalytic cracking unit in accordance with an embodiment of the present invention;
FIG. 5b discloses a flow diagram of the main air system of the flue gas machine of the real-time simulation device of the industrial catalytic cracking unit according to an embodiment of the invention;
FIG. 5c discloses a flow diagram of a reaction regeneration system of a real-time simulation unit of an industrial catalytic cracking unit according to an embodiment of the present invention;
FIG. 6a discloses a graph comparing historical trends in catalytic gasoline properties for a real-time simulation unit of an industrial catalytic cracking unit according to an embodiment of the present invention;
FIG. 6b discloses a graph comparing historical trends in catalytic diesel properties for a real-time simulation of an industrial catalytic cracking unit in accordance with an embodiment of the present invention;
FIG. 6c discloses a comparison graph of the historical trend of the composition properties of the regenerated flue gas of the real-time simulation unit of the industrial catalytic cracking unit according to an embodiment of the invention;
FIG. 7 discloses a kinetic parameter display page of a real-time simulation unit of an industrial catalytic cracking unit according to an embodiment of the present invention;
FIG. 8 discloses a mailbox fault reporting flow diagram of an industrial catalytic cracking unit real-time simulation apparatus according to an embodiment of the invention;
FIG. 9 discloses a functional block diagram of a real-time simulation system of an industrial catalytic cracking unit according to an embodiment of the present invention;
FIG. 10 discloses a 125 reaction network partition diagram of a catalytic cracking full flow mechanistic model according to an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The real-time simulation method and the real-time simulation system for the industrial catalytic cracking unit, provided by the invention, are based on a mechanism model and a computer technology, can intuitively display the operation condition of the catalytic cracking unit and realize analysis and comparison by combining with the current working condition information, and improve the perception agility and the prejudgment accuracy of catalytic production.
Fig. 1 discloses a flow chart of a real-time simulation method of an industrial catalytic cracking unit according to an embodiment of the present invention, and as shown in fig. 1, the real-time simulation method of the industrial catalytic cracking unit according to the present invention includes the following steps:
step S1, collecting factory production data;
s2, receiving and storing factory production data, preprocessing the factory production data, and calculating through a catalytic cracking full-process mechanism model to obtain simulation data;
step S3, comparing the simulation data with the actual production data, judging whether the deviation between the simulation data and the actual production data exceeds a set value, if so, entering step S4 to start the device mechanism model automatic checking technology, otherwise, entering step S5;
s4, updating a catalytic cracking full-process mechanism model by using the minimum objective function of the simulation data of key products and the factory production data based on the dynamic rate form of the reaction process and the balance equation in the reactor, and entering the step S2;
and step S5, displaying the simulation data.
Each step is described in detail below.
And step S1, collecting factory production data.
Optionally, the data acquisition frequency is 20 minutes to 1 hour/time.
Further, factory production data is collected through LIMS (platform data System), PI (Laboratory Information Management System), and MES (manufacturing execution System) interfaces of the factory.
And S2, receiving and storing factory production data, preprocessing the factory production data, and calculating through a catalytic cracking full-process mechanism model to obtain simulation data.
Data preprocessing, further comprising: and deleting abnormal point data, and filling missing data and normalized data.
Deleting abnormal point data, including deleting unconverged points and outliers of the data;
and filling missing data, including calculating the correlation degree of a missing data variable and a data integrity variable based on a random forest algorithm, and filling the missing data according to a multi-dimensional linear interpolation method.
Calculating a complete relevant variable of the data with the maximum degree of correlation with a target variable of missing data by using a random forest algorithm;
a multi-dimensional linear interpolation method, further comprising:
filling linear filling value y of target variable of missing data by using linear interpolation method according to data before and after missing valuea,1；
Calculating a fill value y of a linear fill-in method for a dependent variableb,1And calculating the actual value y of the dependent variableb,2Difference from the filling value Δb＝yb,2-yb,1；
Actual fill value y of target variablea,2Difference from linear fill value Δa＝ya,2-ya,1I.e. the actual fill value ya,2＝ya,1+Δa；
A single variable can fluctuate under the influence of other variables, system fluctuation in blank time periods is calculated by a multiple linear regression method, and the system fluctuation is calculated according to a formula
Figure BDA0003490343090000071
Calculate out
Figure BDA0003490343090000072
Filling value
Figure BDA0003490343090000073
Normalizing the data, including formulating the data
Figure BDA0003490343090000074
Normalized to the interval [0,1]；
Wherein x is the original data, xminMinimum of raw data, xmaxIs the maximum value of the original data, and X is the normalized data.
The catalytic cracking full-flow mechanism model is constructed by the following method:
step S21, characterizing the raw oil;
step S22, according to the reaction mechanism, the raw oil is divided into components;
step S23, dividing a reaction network;
and step S24, establishing a reaction kinetic model.
The catalytic cracking full-flow mechanism model constructed by the method can realize simulation on a catalytic cracking core full flow of a catalytic cracking device, such as a raw material mixing system, a flue gas main air system, a reaction regeneration system, a main fractionating tower and auxiliary flows thereof, a diesel stripping tower, an absorption tower, a reabsorber, a stabilizer and the like.
In this example, the catalytic cracking full flow mechanism model is constructed using a hydrocarbon reaction kinetic reaction system coupling carbon number distribution, sulfur and nitrogen distribution.
Further, the step S2 further includes:
comparing the collected factory production data with a preset normal operation data range;
if the collected factory production data exceeds the normal operation data range by a certain numerical range, correcting the currently collected factory production data, and setting the currently collected factory production data as an input value of a catalytic cracking full-process mechanism model when the previous device runs;
otherwise, the currently collected factory production data is not corrected.
In this embodiment, if the collected factory production data exceeds the normal operation data range by 30%, the currently collected data is corrected to construct a model checking data set with higher reliability.
And step S3, comparing the simulation data with the actual production data, judging whether the deviation between the simulation data and the actual production data exceeds a set value, if so, entering step S4, otherwise, entering step S5.
And S4, updating the catalytic cracking full-process mechanism model by using the minimum objective function of the simulation data of the key product and the factory production data based on the dynamic rate form of the reaction process and the balance equation in the reactor, and entering the step S2.
In the embodiment, the simulation data and the actual production data are compared on line, and when the deviation between the predicted value of the simulation data and the actual value of the actual production data exceeds a set value, the catalytic cracking full-flow mechanism model is updated, so that the automatic updating of the mechanism model parameters is realized, the model prediction precision and the adaptability to the current state of the device are improved, and the aim of accurately tracking the production of the simulation device in real time is fulfilled.
In this embodiment, the target function is a logcase function, and the corresponding expression is as follows:
Figure BDA0003490343090000081
wherein the content of the first and second substances,
Figure BDA0003490343090000082
simulation data value y representing key product component i under a specified working conditioniAnd (3) representing the actual factory production value of a key product component i under a certain specified working condition, wherein n is the total number of the components, and L is a Logcash function.
And step S5, displaying the simulation data.
And generating a real-time simulation flow chart, a historical trend comparison chart, model dynamics parameters and a material balance table from the simulation data, and displaying the simulation data, the actual production data and the model core dynamics parameters on a page.
Furthermore, in this embodiment, a mailbox fault reporting function is provided, and after step S4, the method further includes:
monitoring the catalytic cracking full-process mechanism model according to a set operation period, and judging whether the catalytic cracking full-process mechanism model is updated;
if the catalytic cracking full-flow mechanism model is not updated after the preset time, the model is considered to be in error, and error information is sent to remind;
optionally, sending an email to a system administrator for reminding according to the error level;
if the catalytic cracking full-flow mechanism model is updated in a preset time, the model is considered to be normal, and normal information is sent to be filed;
optionally, the normal mail is sent to the mother mailbox for archiving.
While, for purposes of simplicity of explanation, the methodologies are shown and described as a series of acts, it is to be understood and appreciated that the methodologies are not limited by the order of acts, as some acts may, in accordance with one or more embodiments, occur in different orders and/or concurrently with other acts from that shown and described herein or not shown and described herein, as would be understood by one skilled in the art.
In order to achieve the purpose, the invention provides a real-time simulation device of an industrial catalytic cracking unit, so as to achieve the real-time simulation method of the industrial catalytic cracking unit.
Fig. 2 discloses a schematic block diagram of a real-time simulation apparatus of an industrial catalytic cracking unit according to an embodiment of the present invention, and as shown in fig. 2, the real-time simulation apparatus of an industrial catalytic cracking unit according to the present invention includes a data acquisition module 210, a data processing module 220, an apparatus simulation module 230, and a data display module 240:
the data acquisition module 210 is connected with the data processing module 220, acquires factory production data and sends the factory production data to the data processing module 220;
the data processing module 220 is connected to the device simulation module 230, receives and stores factory production data, preprocesses the factory production data, and sends the factory production data to the device simulation module 230;
the device simulation module 230 is connected with the data display module 240, receives the factory production data sent by the data processing module 220, calculates the factory production data through a catalytic cracking full flow mechanism model to obtain simulation data, and sends the simulation data to the data display module 240;
the data display module 240 receives and displays the simulation data.
The device simulation module 230 compares the received simulation data with actual production data, determines whether the deviation between the simulation data and the actual production data exceeds a set value, and if the deviation exceeds the set value, updates the catalytic cracking full-process mechanism model with the minimum objective function of the simulation data of the key product and the factory production data based on the reaction process dynamics rate form and the balance equation in the reactor.
Furthermore, the data display module 240 includes functions of a simulation interface of the actual flow chart of the device, production data and simulation data, historical trend comparison, model dynamics parameters, a material balance table and the like, and performs visual display on the device data, the simulation data and the model parameter data.
Fig. 3 discloses a software programming diagram of a real-time simulation device of an industrial catalytic cracking unit according to an embodiment of the present invention, and in the embodiment shown in fig. 3, the data processing module 220, the device simulation module 230, the C # based system programming, the interface for acquiring real-time data/historical data, the catalytic cracking full-flow mechanism model for program calling, and the C # program itself for processing specific business logic.
The data collection module 210 collects actual data through a PI (Plant Information System), a LIMS (Laboratory Information Management System), and an MES (manufacturing execution System) data interface of a factory.
The data acquisition module 210 extracts on-site PI production data, LIMS analysis data and MES statistical data;
the data processing module 220 eliminates abnormal data points and imports the abnormal data points into the catalytic cracking full-process mechanism model of the device simulation module 230 through the C # background program.
And when the data import is finished, the catalytic cracking full-flow mechanism model starts to calculate.
After the calculation is completed, the simulation data of the model output result is returned to the background program, and then sent to the data display module 240.
In the embodiment shown in FIG. 3, data display module 240 is a Web client.
The application programming of the Web client includes JavaScript, HTML, CSS and other static resources.
HTML and CSS files are used for displaying interfaces and have functions of beautifying pages and the like;
JavaScript is used for processing simple logic interacting with a user, wherein jQuery is a simple and quick JavaScript framework used for Ajax interaction, HTML operation, animation design and event processing.
In the embodiment shown in fig. 3, the data processing module 220, the device simulation module 230, and the data display module 240 are connected via a relational database.
Writing the acquired field data and model data into a relational database based on the system program design of C #, and starting to wait for the sending of a user operation signal;
NET returns the user operation signal and the data modified by the user to the relational database through ASP;
and according to the change of the signal bit in the relational database, the C # program starts to execute corresponding operation, input data and output data of the C # program are stored in the relational database, and the data are sent to the mechanism model through an Aspen COM interface and serve as data sources for displaying simulation input data and factory production data of the simulation device.
NET program immediately acquires input And output data of the mechanism model stored in the database in real time, And communicates with JavaScript of a user side through AJAX (Asynchronous JavaScript And XML) to display input And output of the catalytic cracking full-flow mechanism model on a browser of the user side.
Furthermore, other specific implementation details of the real-time simulation apparatus of the industrial catalytic cracking unit correspond to the real-time simulation method of the industrial catalytic cracking unit, so the specific details are not repeated here.
The operation flow of the real-time simulation device of the industrial catalytic cracking unit is specifically described below with reference to fig. 3 and 4:
1) the factory production data of the data acquisition module 210 is read every 20 minutes through the cloud service interface and is used as input data of a mechanism model in the real-time simulation device and device actual production balance data compared with a model value, wherein the factory production data comprises device operation conditions (total feeding load, feeding temperature, feeding pressure, stripping steam flow and the like), mixed raw material properties (density, initial boiling point, carbon residue and the like), catalyst properties (balance activity, metal content and the like), product yield, property data and the like.
2) The background processing program of the data processing module 220 automatically processes data, a preset normal operation data limit range of the device is utilized, if the simulated data deviates from the normal data range by more than 30%, the data collected here is corrected to a model input value in the previous round of device operation, and the corrected data is sent to the model of the device simulation module 230 through the Aspen interface program.
3) After the device simulation module 230 controls the calculation of the mechanism model, the operation result is compared with the actual production data of the factory, the deviation value (Delta value) between the current model simulation data and the real-time production data is rapidly calculated, and the Delta value is stored in the database.
4) If the relative percentage error of the model simulation data value of the key product and the actual production value exceeds 20%, the device starts an automatic model checking program;
in this embodiment, the model automatic checking program is based on the selected reaction process dynamics rate form and various balance equations in the reactor, and the determination process of the reaction dynamics model parameters is converted into an optimization problem for solving the following function with the target of the Logcash function minimum of the model predicted value and the industrial actual production value formed by the key products:
Figure BDA0003490343090000121
wherein the content of the first and second substances,
Figure BDA0003490343090000122
simulation data value y representing key product component i under specified working conditioniAnd (3) representing the actual factory production value of the key product component i under the specified working condition, wherein n is the total number of the components, and L is a Logcash function.
Figure BDA0003490343090000123
Is a function of the kinetic parameter P and,
Figure BDA0003490343090000124
and solving the optimized solution of P by using a differential evolution algorithm and taking P as an independent variable and L as an optimization objective function to obtain optimized kinetic parameters, and sending the optimized kinetic parameters into a mechanism model through the Aspen COM interface, so that the simulation result of the real-time simulation device on the device is closer to the actual working condition.
In the embodiment, the reaction kinetics model parameter determination process of the catalytic mechanism model is converted into an optimization problem, and the optimization value of the reaction kinetics model parameter is solved by combining an optimization algorithm, so that the model has higher prediction accuracy under the condition of great changes of the raw material type, the operation condition, the catalyst performance and the like.
In this embodiment, the key products include acid gas, ethylene, dry gas, propylene, liquefied gas, gasoline, diesel, slurry oil, coke, and the like.
5) The updated model is used for the next run.
In this embodiment, if the device is in a model stuck state within an operation period of 20 minutes, the system will make an instruction to restart the model, so as to ensure normal operation of the real-time simulation system.
The data acquisition frequency and the operation period can be adjusted according to requirements.
The data display module 240 is further described below in conjunction with fig. 5 a-7.
Fig. 5a to 5c respectively disclose flow charts of a raw material mixing System, a main air System and a reaction regeneration System of a real-time simulation device of an industrial catalytic cracking device according to an embodiment of the present invention, such as the flow charts of the systems shown in fig. 5a to 5c, a data display module 240 generates a real-time simulation flow chart from simulation data, an output simulation flow picture is similar to a DCS (Distributed Control System), and the functions of displaying production data and model simulation data, comparing product distribution historical trends, displaying names, values and update times of dynamic parameters used by a current model, and the like are included, so that data such as device production data, model simulation data and model core dynamic parameters can be visually displayed on a webpage according to a set time frequency, and the data is clear and highly observable.
The real-time data and simulation results of each operation flow of the raw material mixing system, the flue gas main air system, the reaction regeneration system, the main fractionating tower system, the diesel stripping system, the reabsorption tower system, the absorption stabilizing system and the like can be visually displayed on a system flow chart, and the production flow of the catalytic device can be simulated, tracked, compared and displayed in time.
Fig. 6a to 6c respectively disclose historical trend comparison graphs of catalytic gasoline property, catalytic diesel oil property and regeneration flue gas composition property of a real-time simulation device of an industrial catalytic cracking device according to an embodiment of the present invention, such as the historical trend comparison graphs shown in fig. 6a to 6c, and the data display module 240 generates the historical trend comparison graph from the simulation data, so as to present historical trend of important data, and compare the simulation data with actual data, thereby verifying the accuracy of the model.
Fig. 7 is a kinetic parameter display page diagram of a real-time simulation apparatus of an industrial catalytic cracking apparatus according to an embodiment of the present invention, and as shown in fig. 7, the data display module 240 performs page display on the core kinetic parameters of the model corresponding to the simulation data, so as to present the values of the adopted kinetic parameters and the time of the last automatic update, thereby monitoring the model parameters.
Furthermore, the real-time simulation device for the industrial catalytic cracking unit, provided by the invention, is also provided with a mailbox fault reporting system for automatically monitoring the running condition of the device, so that the running state of the device can be judged according to the preset updating time frequency of the model when the system normally runs, the running condition of the device can be monitored in real time, and the condition can be timely fed back to a system administrator when the system fails.
Fig. 8 discloses a mailbox fault reporting flow chart of the real-time simulation apparatus of the industrial catalytic cracking apparatus according to an embodiment of the present invention, and in the embodiment shown in fig. 8, the mailbox fault reporting flow of the real-time simulation apparatus of the industrial catalytic cracking apparatus according to the present invention is as follows:
1) reading the updating time of a catalytic cracking full-process mechanism model of a real-time simulation device in a system background window by a monitoring program in each running period;
2) if the mechanism model is not updated or changed after the preset time, the model is regarded as an error, otherwise, the model is normal, and optionally, the preset time is 1 hour;
3) after the judgment is finished, generating a report file from the report, generating a fault report when the model has errors, and generating an operation log when the model operates normally;
4) if the model runs normally, the mailbox sending program sends normal information (running log) to the parent mailbox for archiving by mail, and if the model runs abnormally, the mailbox sending program sends error information (fault report) to a system administrator by mail.
Optionally, sending an email to a system administrator for reminding according to the error level.
FIG. 9 is a block diagram of a real-time simulation system for an industrial catalytic cracking unit in accordance with an embodiment of the present invention. The industrial catalytic cracking unit real-time simulation system may include an internal communication bus 901, a processor (processor)902, a Read Only Memory (ROM)903, a Random Access Memory (RAM)904, a communication port 905, and a hard disk 907. The internal communication bus 901 can realize data communication among the components of the real-time simulation system of the industrial catalytic cracking unit. The processor 902 may make the determination and issue the prompt. In some embodiments, the processor 902 may be comprised of one or more processors.
The communication port 905 can realize data transmission and communication between the real-time simulation system of the industrial catalytic cracking unit and external input/output equipment. In some embodiments, the industrial catalytic cracker real time simulation system can send and receive information and data from the network through the communication port 905. In some embodiments, the industrial catalytic cracker real-time simulation system can communicate and transmit data to external input/output devices via the input/output port 906 in a wired fashion.
The industrial catalytic cracking unit real-time simulation system may also include various forms of program storage units and data storage units, such as a hard disk 907, a Read Only Memory (ROM)903 and a Random Access Memory (RAM)904, capable of storing various data files used for computer processing and/or communications, and possibly program instructions executed by the processor 902. The processor 902 executes these instructions to implement the main parts of the method. The results of the processing by the processor 902 are communicated to an external output device via the communication port 905 for display on a user interface of the output device.
For example, the implementation process file of the real-time simulation method of the industrial catalytic cracking unit may be a computer program, stored in the hard disk 907, and recorded in the processor 902 for execution, so as to implement the method of the present application.
When the implementation process file of the real-time simulation method of the industrial catalytic cracking unit is a computer program, the implementation process file can also be stored in a computer readable storage medium as a product. For example, computer-readable storage media can include but are not limited to magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips), optical disks (e.g., Compact Disk (CD), Digital Versatile Disk (DVD)), smart cards, and flash memory devices (e.g., electrically Erasable Programmable Read Only Memory (EPROM), card, stick, key drive). In addition, various storage media described herein can represent one or more devices and/or other machine-readable media for storing information. The term "machine-readable medium" can include, without being limited to, wireless channels and various other media (and/or storage media) capable of storing, containing, and/or carrying code and/or instructions and/or data.
The construction of the catalytic cracking unit full flow mechanism model in the industrial catalytic cracking unit real-time simulation method and system according to the present invention is described below with an embodiment.
The whole flow mechanism of the catalytic cracking unit is constructed by the following method steps:
and step S21, characterizing the raw oil.
The raw oil of the catalytic cracking unit mainly comprises two types, namely wax oil and residual oil, and recycle oil, dirty oil, washing oil and the like can be mixed in the actual operation process of the unit.
The wax oil can be further subdivided into straight-run wax oil produced by an atmospheric and vacuum distillation device and hydrogenated wax oil obtained in a hydrogenation device, and the residual oil is relatively widely available.
In consideration of the limitation of the product on the sulfur and nitrogen indexes, a characterization method which is coupled with the carbon number distribution, the sulfur distribution and the nitrogen distribution and can reflect the chemical structure characteristics of the material is selected in the embodiment to perform characterization of the raw oil.
Wherein Ni represents nitrogen, S represents sulfur, P represents paraffin, O represents olefin, A represents aromatic hydrocarbon, N represents naphthene, and the naphthene is further divided into C46+ (V), C36-C45(H), C23-C35(LCO), C13-C22(D), C5-C12(G), C3, C4, C1-C2, coke, acid gas and the like according to the carbon number;
among them, it can be considered approximately that V represents a fraction boiling in the distillation range of the vacuum residue, H represents a fraction boiling in the distillation range of the heavy oil, LCO represents a cycle oil component oil, D represents a diesel oil, G represents a gasoline, C4 represents a C4 component, C3P represents propane, C3 represents propylene, C2 represents ethylene, DR represents a deethylenized dry gas, C represents coke, and H2S represents hydrogen sulfide.
And step S22, according to the reaction mechanism, dividing the raw oil into components.
The design of components is carried out according to the reaction mechanism, and since the domestic FCC device generally uses heavy oil, the analysis of four components of raw oil is mainly carried out in the aspect of analysis.
Therefore, the feed oil is classified into two types: one is a fraction boiling in the vacuum residue distillation range and the other is a fraction boiling in the heavy oil distillation range.
Considering the limitation of the product on indexes such as sulfur, nitrogen and the like, in the product, the present embodiment divides the diesel into: diesel fuel, diesel sulfur component, and diesel nitrogen component.
For gasoline, the present example is divided into gasoline fuel, gasoline sulfur component, gasoline nitrogen component, gasoline paraffin component, gasoline naphthene component and gasoline aromatic component.
The examples of the circulating oil include circulating oil stocks, sulfur components of the circulating oil, and nitrogen components of the circulating oil, as shown in Table 1.
TABLE 1 feed oil component division
Figure BDA0003490343090000161
Figure BDA0003490343090000171
Small molecules such as propylene in liquefied gas are important chemical raw materials, and their importance is increasing as the price increases with the increase in market demand, and thus propane, propylene, and ethylene (C) are used3As a separate component, C4 and de-ethenized dry gas as another component.
The coke amount has a certain influence on deactivation in consideration of the difference in properties between the coke and the dry gas, and therefore, the coke (C), and the sulfur component and the nitrogen component in the coke are considered as separate components.
And step S23, dividing the reaction network.
The catalytic cracking is a process for converting heavy hydrocarbon into light alkane and olefin, and is a gas-solid phase reaction, the reaction mechanism follows a carbonium ion reaction mechanism, in the MIP-CGP process, a riser reactor is divided into two reaction zones which are connected in series, conditions in the two reaction zones are different, but the two reaction zones have the same mechanism, so that the two reaction zones have the same reaction network.
The difference is that the side reactions are relatively weak in one reaction zone due to the short residence time and high temperature, while in the second reaction zone, the side reactions are more severe due to the long residence time.
To simplify the design of the reaction network, it is assumed that each component undergoes not a cracking reaction but a conversion reaction from a component having a large molecular weight to a component having a small molecular weight.
This assumption is reasonable because for a certain reaction system there is E, F, G, H, and coke component C, assuming that the E component has a molecular weight much greater than F, G, H, then every 1 mole of E can be cracked to produce F + G + aC, F + H + bC, G + H + cC, i.e. 1 mole of E produces 1 mole each of two of F, G, H, while the remaining mass is converted to coke, then finally, the overall reaction of the E component can be written as E → xF + yG + zH + mC, so this formula can be broken down to a simple reaction of E → F, and so the assumption is true.
Thus, after considering the previous component partitioning, the reaction network is designed as follows:
cracking of the VP feed oil component can result (HP, LCO, D, GP, GO, C4, C3P, C3 ═ C2 ═ DR, C);
the cracking reaction of VA can generate (HA, LCO, D, GA, C);
VN may be generated (VP, HP, HN, LCO, D, GP, GO, GN, C4, C3P, C3 ═ C2 ═ DR, C);
if VNi (Hni, LCO, Ni, DNi, GNi, CNi) and VS (HS, LCOS, DS, GS, CS, H2S) can be produced, the cracking reaction of 5 components of V feed oil is 42 in total.
Cracking reactions of HP feed oil components can be generated (LCO, D, GP, GO, C4, C3P, C3 ═ C2 ═ DR, C), cracking reactions of HA can be generated (HA, LCO, D, GA, C), cracking reactions of HN can be generated (HP, LCO, D, GP, GO, GN, C4, C3P, C3 ═ C2 ═ DR, C), cracking reactions of HNi (LCONi, DNi, GNi, CNi), cracking reactions of HS (LCOs, DS, GS, CS, H2S), and cracking reactions of 5 components of H feed oil total 36.
The diesel component (D) can be cracked to yield (GP, GO, GN, GA, C4, C3P, C3 ═ C2 ═ DR, C), and 10 cracking reactions.
Gasoline components GP can be produced (GO, C4, C3P, C3 ═ C2 ═ DR, C), GN (GO, C4, C3P, C3 ═ C2 ═ DR, C), and GS (CS, H2S) cracking reactions, 16 in number.
The cycle oil components (LCO, LCOs, LCONi) can produce a total of 21 reactions (D, GP, GO, GN, GA, C4, C3P, C3 ═ C2 ═ DR, C, DNi, GNi, CNi, DS, GS, CS, H2S).
Fig. 10 discloses a 125 reaction network partition diagram of a catalytic cracking full flow mechanism model according to an embodiment of the present invention, and as shown in fig. 10, the resulting reaction network includes 125 reactions.
And step S24, establishing a reaction kinetic model.
The atomization of the raw oil in the reactor, the mixing of the catalyst, and the separation of the gas-solid phase after the reaction is terminated are not discussed in the present embodiment.
Meanwhile, the catalytic cracking is a gas-solid phase heterogeneous reaction, and the problems of internal diffusion, external diffusion, adsorption, catalyst surface reaction kinetics and the like are designed from the reaction mechanism, while the reaction process is considered from the macroscopic perspective by adopting a component dynamics method in the embodiment, so that the reaction process is considered as a homogeneous reaction, and meanwhile, related researches also show that errors generated by neglecting the heterogeneous process are acceptable, so that a great deal of previous researches also consider the reaction as a homogeneous reaction.
Based on this, the rate expression of the reaction can be found as follows:
Figure BDA0003490343090000191
wherein:
ajrepresents the mass concentration of the family components, kg/kg;
x represents a dimensionless distance, X ═ X/L, where,
x is the height position of the riser, m;
l is the total length of the riser, m;
Kjis a component reaction rate constant, m3/(kg·h)；
Rho is gas density, kg/m3；
SWHIs true weight hourly space velocity, h-1；
SWHThe formula represents the total feed (raw oil + steam feed + dry gas feed, etc.) divided by the mass of the catalyst, wherein the total feed is in g/S (convertible to kg/S) and the mass of the catalyst is in g (convertible to kg), i.e., SWHHas the unit of s-1；；
Figure BDA0003490343090000192
The function of the coking deactivation of the catalyst is as follows:
Figure BDA0003490343090000193
wherein:
beta is a catalyst coking inactivation factor;
CCwt% as coke content of the catalyst;
m is a catalyst coking deactivation function index;
f (A) is a function of deactivation of adsorption of heavy aromatics:
Figure BDA0003490343090000194
wherein the content of the first and second substances,
kAis heavy aromatics adsorption inactivation factor;
CAm% of the residual carbon content of the raw oil;
(N) is a function of deactivation of basic nitrogen adsorption;
Figure BDA0003490343090000195
wherein k isNIs alkali nitrogen adsorption inactivation factor;
CAthe content of basic nitrogen is the raw oil wt%;
tcis the catalyst residence time, s;
Figure BDA0003490343090000201
the ratio of reactants to oil is kg/kg;
according to the reaction network among all components in the reaction network, a reaction rate differential equation system of 11 components can be obtained, and the vector form of the reaction rate differential equation system is as follows:
Figure BDA0003490343090000202
wherein K is a reaction rate constant matrix, and a is a component concentration vector.
In the K matrix, Ki,jReacting component i to generate a reaction rate constant of component j, wherein i represents a reactant component, j represents a product component, and the rate constant conforms to an Arrhenius equation, namely:
Figure BDA0003490343090000203
wherein, k0i,j，Eai,j8.3145 is obtained from SI, where T is the reaction temperature and R is the molar gas constant, and T is the index factor and activation energy of the reaction for component i to form component j, respectively.
Due to the characteristics of the riser reactor in the MIP process, the reactor is divided into two reaction zones due to the requirement of simplifying calculation, the radial flow is neglected, a one-dimensional flow model is used for consideration, and the reaction model selectable in one reaction zone comprises a plug flow model and a multi-stage complete mixed flow model.
The multistage fully mixed flow model can select the stage number according to the degree of deviation of the reaction from the plug flow in consideration of the actual situation.
The reaction model which can be selected by the secondary reaction zone comprises a plug flow model, a complete mixed flow model and a multi-stage complete mixed flow model. This is because the two reaction zones deviate from the plug flow to different extents under operating conditions.
In order to simplify the model, the first and second reaction zones are selected to be plug flow models, and thus the final result is two non-isothermal plug flow models connected in series.
The real-time simulation method and the real-time simulation system of the industrial catalytic cracking device provided by the invention have the following beneficial effects:
1) the method comprises the steps of acquiring device operation data in real time, acquiring material property quick evaluation data and laboratory analysis data, accurately extracting key operation information from the device data through data processing and comparison, accurately judging whether a production device and a real-time simulation system operate in a stable operation state or not, and improving the consistency reliability of field operation data;
2) through a data interface technology, historical operation data of the device are collected, steady-state operation data of the device with obvious representative differences are automatically analyzed, a model checking data set with high reliability is constructed, and the model yield and property prediction accuracy of the unit device are improved;
3) based on the mechanism model and the check data, the dynamic parameters and the material properties of the mechanism model are automatically checked on line by using an efficient optimization algorithm, so that the model prediction precision and the adaptability to the current state of the device are improved, and the accurate prediction of the operation characteristics of the device is realized.
Those of skill in the art would understand that information, signals, and data may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits (bits), symbols, and chips that may be referenced throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The various illustrative logical modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.
In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a web site, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk (disk) and disc (disc), as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks (disks) usually reproduce data magnetically, while discs (discs) reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
The above-described embodiments are provided to enable persons skilled in the art to make or use the invention, and that persons skilled in the art may make modifications or changes to the above-described embodiments without departing from the inventive concept thereof, and therefore the scope of protection of the invention is not limited by the above-described embodiments but should be accorded the widest scope consistent with the innovative features recited in the claims.

Claims (12)

1. A real-time simulation method of an industrial catalytic cracking unit is characterized by comprising the following steps:
s1, collecting factory production data;
s2, receiving and storing factory production data, preprocessing the factory production data, and calculating through a catalytic cracking full-process mechanism model to obtain simulation data;
step S3, comparing the simulation data with the actual production data, judging whether the deviation between the simulation data and the actual production data exceeds a set value, if so, entering step S4, otherwise, entering step S5;
s4, updating a catalytic cracking full-process mechanism model by using the minimum objective function of the simulation data of key products and the factory production data based on the dynamic rate form of the reaction process and the balance equation in the reactor, and entering the step S2;
and step S5, displaying the simulation data.
2. The real-time simulation method of an industrial catalytic cracking unit according to claim 1, wherein the objective function is a Logcash function, and the corresponding expression is as follows:
Figure FDA0003490343080000011
wherein the content of the first and second substances,
Figure FDA0003490343080000012
simulation data value y representing key product component i under specified working conditioniAnd (3) representing the actual factory production value of the key product component i under the specified working condition, wherein n is the total number of the components, and L is a Logcash function.
3. The real-time simulation method of an industrial catalytic cracking unit according to claim 1, wherein the step S2 further comprises:
comparing the collected factory production data with a preset normal operation data range;
if the collected factory production data exceeds the normal operation data range by a certain value, correcting the currently collected factory production data, and setting the currently collected factory production data as an input value of a catalytic cracking full-process mechanism model when the previous round of device operates;
otherwise, the currently collected factory production data is not corrected.
4. The real-time simulation method of an industrial catalytic cracking unit according to claim 1, wherein the step S2 of preprocessing plant production data further comprises:
and deleting abnormal point data, and filling missing data and normalized data.
5. The real-time simulation method of an industrial catalytic cracking unit according to claim 4, wherein the step S2 of filling missing data further comprises:
and calculating the correlation degree of the missing data variable and the data integrity variable based on a random forest algorithm, and filling the missing data according to a multi-dimensional linear interpolation method.
6. The real-time simulation method of an industrial catalytic cracking unit according to claim 5, wherein the step S2 of filling missing data according to a multi-dimensional linear interpolation method further comprises:
filling linear filling value y of target variable of missing data by using linear interpolation method according to data before and after missing valuea,1；
Calculating a fill value y of a linear fill-in method for a dependent variableb,1；
Calculating the actual value y of the dependent variableb,2And a fill value yb,1Difference value Δ ofb＝yb,2-yb,1；
Calculating the target variable actual fill value ya,2And linear fill value ya,1Difference value Δ ofa＝ya,2-ya,1I.e. the actual fill value ya,2＝ya,1+Δa；
Calculating system fluctuation in blank time period by multiple linear regression method according to formula
Figure FDA0003490343080000021
Calculate out
Figure FDA0003490343080000022
Actual fill value y of target variablea,2The following expression is satisfied:
Figure FDA0003490343080000023
7. the real-time simulation method of an industrial catalytic cracking unit according to claim 1, wherein the catalytic cracking full-flow mechanism model is constructed using a hydrocarbon reaction kinetic reaction system in which a carbon number distribution, a sulfur distribution and a nitrogen distribution are coupled.
8. The real-time simulation method of an industrial catalytic cracking unit according to claim 1, wherein the catalytic cracking full-flow mechanism model is constructed by the following method:
characterizing the raw oil;
according to the reaction mechanism, dividing the components of the raw oil;
dividing a reaction network;
and establishing a reaction kinetic model.
9. The real-time simulation method of an industrial catalytic cracking unit according to claim 1, wherein the step S5 further comprises:
and generating a real-time simulation flow chart, a historical trend comparison chart, model dynamics parameters and a material balance table from the simulation data, and displaying the simulation data, the actual production data and the model core dynamics parameters on a page.
10. The real-time simulation method of an industrial catalytic cracking unit according to claim 1, further comprising, after the step S4:
monitoring the catalytic cracking full-process mechanism model according to a set operation period, and judging whether the catalytic cracking full-process mechanism model is updated;
if the catalytic cracking full-flow mechanism model is not updated after the preset time, the model is considered to be in error, and error information is sent to remind;
and if the catalytic cracking full-flow mechanism model is updated in a preset time, the model is considered to be normal, and normal information is sent to archive.
11. A real-time simulation system for an industrial catalytic cracking unit, comprising:
a memory for storing instructions executable by the processor;
a processor for executing the instructions to implement the method of any one of claims 1-10.
12. A computer storage medium having computer instructions stored thereon, wherein the computer instructions, when executed by a processor, perform the method of any of claims 1-10.
CN202210093986.6A 2022-01-26 2022-01-26 Real-time simulation method and system for industrial catalytic cracking device Pending CN114495686A (en)

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