A performance evaluation method and system for an industrial catalytic cracking unit

Abstract

The present invention relates to the technical field of industrial cracking catalysis, and more specifically, to a method and system for evaluating the performance of an industrial catalytic cracking unit. The method includes the following steps: Step S1, collect factory production data and perform preprocessing; Step S2, receive and store the factory production data, calculate simulation data through the full-process mechanism model of catalytic cracking, and use the obtained simulation data as the benchmark evaluation data; Step S3, modify the operating conditions, calculate simulation data through the full-process mechanism model of catalytic cracking, use the obtained simulation data as the result evaluation data, and compare the result evaluation data with the hexagonal comprehensive index model to generate a performance evaluation result; Step S4, display the performance evaluation result. Based on the full-process mechanism model of catalytic cracking and computer technology, the present invention realizes the evaluation of the impact of changes in key operating conditions on the product distribution and properties of the unit, improves the production efficiency of the unit, and increases the profits of the enterprise.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial cracking catalysis, and more specifically, to a method and system for evaluating the performance of an industrial fluid catalytic cracking unit. Background Art

[0002] In recent years, petrochemical enterprises in China have continuously tried to combine with Internet application technologies and entered a new stage of intelligent integration and systematization. With the development of various data analysis technologies such as device planning, supply, and production, technologies for quickly locating global optimization and decision-making of devices through mechanism models and data analysis have received extensive attention.

[0003] A fluid catalytic cracking (FCC) unit is a common multi-purpose and profitable unit in modern refineries, which converts heavy distillates and residual feeds into lighter and more valuable products. The catalytic cracking unit is the commonly used name for the fluid catalytic cracking unit, and hereinafter it will be referred to as the catalytic cracking unit.

[0004] The catalytic cracking unit not only makes a great contribution to the production of gasoline, but is also an important provider of raw materials in the petrochemical industry (such as light olefins). It can not only produce products such as gasoline and diesel, but also provide propylene raw materials for chemical production and steam, fuel gas, etc. for the whole plant.

[0005] The catalytic cracking unit occupies an important position in refineries around the world and is the main secondary processing unit, and its total processing capacity exceeds the sum of hydrocracking, coking, and visbreaking. Thus, it can be seen that the catalytic cracking unit makes a great contribution to the overall profitability of the refinery.

[0006] Currently, for some petrochemical enterprises with respect to catalytic cracking units, although there are systems such as PI (Plant Information System, platform data system), LIMS (Laboratory Information Management System), and MES (manufacturing execution system), on the one hand, the existing systems have poor integration, operability, and visualization and do not have a friendly human-machine interface; on the other hand, they lack integration with current computer technologies, and the performance evaluation of catalytic cracking units usually requires combining the engineering experience of engineers, relying too much on manual experience and having low intelligence and automation levels.

[0007] Therefore, there is an urgent need for a method / system for evaluating the performance of a catalytic cracking unit that can automatically examine the influence of changes in key operating conditions on the performance of the catalytic cracking unit such as product distribution and properties. Summary of the Invention

[0008] The object of the present invention is to provide a performance evaluation method and system for an industrial catalytic cracking unit, so as to solve the problems in the prior art that the performance evaluation method for the catalytic cracking unit relies too much on manual experience, has low integration and low operability.

[0009] To achieve the above object, the present invention provides a performance evaluation method for an industrial catalytic cracking unit, including the following steps:

[0010] Step S1, collect the factory production data and perform preprocessing;

[0011] Step S2, receive and store the factory production data, calculate the simulation data through the catalytic cracking full-process mechanism model, and use the obtained simulation data as the benchmark evaluation data;

[0012] Step S3, modify the operating conditions, calculate the simulation data through the catalytic cracking full-process mechanism model, use the obtained simulation data as the result evaluation data, compare the result evaluation data with the hexagonal comprehensive index model to generate a performance evaluation result, and the hexagonal comprehensive index model includes octane number barrel yield, comprehensive evaluation index of high-value-added products, unit energy consumption energy-saving index, carbon emission reduction index, residue blending ratio, and benefit per ton of oil;

[0013] Step S4, display the performance evaluation result.

[0014] In one embodiment, the step S1 further includes: collecting the factory production data through the platform data system, laboratory information management system, and manufacturing execution system data interface of the factory.

[0015] In one embodiment, the catalytic cracking full-process mechanism model is composed of a hydrocarbon reaction kinetic reaction system that couples carbon number distribution, sulfur, and nitrogen distribution.

[0016] In one embodiment, before calculating the simulation data through the catalytic cracking full-process mechanism model in the step S3, it further includes:

[0017] Establish an input condition association constraint rule library, perform a logical judgment on the modified operating conditions, and judge whether the modified operating conditions are valid.

[0018] In one embodiment, the step S3 further includes:

[0019] Normalize the result evaluation data and then compare it with the hexagonal comprehensive index model;

[0020] The normalization formula is

[0021] where x is the original result evaluation data, x min is the minimum value of the original result evaluation data, xmax is the maximum value of the original result evaluation data, and X is the result evaluation data after normalization.

[0022] In one embodiment, step S4 further includes:

[0023] Generate a performance evaluation effect diagram, a property table input table, and a material balance table from the performance evaluation results, and perform page display.

[0024] In one embodiment, step S4 further includes:

[0025] Generate a data report from the performance evaluation results and save the performance evaluation results under different operating conditions.

[0026] In one embodiment, in step S2, the full-process mechanism model of catalytic cracking is constructed by the following method:

[0027] Characterize the feedstock oil.

[0028] According to the reaction mechanism, divide the feedstock oil into components.

[0029] Divide the reaction network.

[0030] Establish a reaction kinetic model.

[0031] To achieve the above object, the present invention provides an industrial catalytic cracking unit performance evaluation system, including:

[0032] A memory for storing instructions executable by a processor;

[0033] A processor for executing the instructions to implement the method as described in any one of the above.

[0034] To achieve the above object, the present invention provides a computer storage medium having computer instructions stored thereon, wherein when the computer instructions are executed by a processor, the method as described in any one of the above is executed.

[0035] An industrial catalytic cracking unit performance evaluation method and system provided by the present invention, based on the full-process mechanism model of catalytic cracking and computer technology, realizes the evaluation of the influence of changes in key operating conditions on the product distribution and properties of the unit, and has positive significance for improving the production efficiency of the unit and increasing the profits of the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The above and other features, properties, and advantages of the present invention will become more apparent from the following description in conjunction with the drawings and embodiments, in which like reference numerals always represent like features, wherein:

[0037] Figure 1Disclosed is a flowchart of a method for evaluating the performance of an industrial catalytic cracking unit according to an embodiment of the present invention;

[0038] Figure 2 Disclosed is a diagram of the division of a 125-reaction network of a full-process mechanism model of catalytic cracking according to an embodiment of the present invention;

[0039] Figure 3 Disclosed is a block diagram of the principle of a device for evaluating the performance of an industrial catalytic cracking unit according to an embodiment of the present invention;

[0040] Figure 4 Disclosed is a software program design diagram of a device for evaluating the performance of an industrial catalytic cracking unit according to an embodiment of the present invention;

[0041] Figure 5 Disclosed is a flowchart of the operation of a device for evaluating the performance of an industrial catalytic cracking unit according to an embodiment of the present invention;

[0042] Figure 6 Disclosed is a client interface diagram of a device for evaluating the performance of an industrial catalytic cracking unit according to an embodiment of the present invention;

[0043] Figure 7 Disclosed is a client property variable interface diagram of a device for evaluating the performance of an industrial catalytic cracking unit according to an embodiment of the present invention;

[0044] Figure 8 Disclosed is a client material balance sheet interface diagram of a device for evaluating the performance of an industrial catalytic cracking unit according to an embodiment of the present invention;

[0045] Figure 9 Disclosed is a client performance evaluation form interface diagram of a device for evaluating the performance of an industrial catalytic cracking unit according to an embodiment of the present invention;

[0046] Figure 10 Disclosed is a client performance evaluation effect diagram of a device for evaluating the performance of an industrial catalytic cracking unit according to an embodiment of the present invention;

[0047] Figure 11 Disclosed is a data flow diagram of a data report of a device for evaluating the performance of an industrial catalytic cracking unit according to an embodiment of the present invention;

[0048] Figure 12 Disclosed is a functional flowchart of a data report of a device for evaluating the performance of an industrial catalytic cracking unit according to an embodiment of the present invention;

[0049] Figure 13 Disclosed is a block diagram of the principle of a system for evaluating the performance of an industrial catalytic cracking unit according to an embodiment of the present invention. Detailed implementation manners

[0050] In order to make the objectives, technical solutions and advantages of the present invention more clear and understandable, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the invention and are not used to limit the invention.

[0051] The present invention provides a method and system for evaluating the performance of a catalytic cracking unit in a refinery, which can evaluate the impact of changes in different operating conditions on the performance of the catalytic cracking unit, such as the product distribution and properties of the unit, and has the characteristics of good sensitivity, strong display, and user-friendliness.

[0052] Figure 1 Disclosed is a flowchart of a method for evaluating the performance of an industrial catalytic cracking unit according to an embodiment of the present invention. As Figure 1 shown, a method for evaluating the performance of an industrial catalytic cracking unit proposed by the present invention includes the following steps:

[0053] Step S1: Collect the production data of the factory and perform preprocessing.

[0054] Step S2: Receive and store the production data of the factory, calculate the simulation data through the full-process mechanism model of catalytic cracking, and use the obtained simulation data as the benchmark evaluation data.

[0055] Step S3: Modify the operating conditions, calculate the simulation data through the full-process mechanism model of catalytic cracking, use the obtained simulation data as the result evaluation data, and compare the result evaluation data with the hexagonal comprehensive index model to generate a performance evaluation result. The hexagonal comprehensive index model includes the octane number barrel yield, the comprehensive evaluation index of high-value-added products, the energy-saving index of unit energy consumption, the carbon emission reduction index, the residue blending ratio, and the profit per ton of oil.

[0056] Step S4: Display the performance evaluation result.

[0057] Each step will be described in detail below.

[0058] Step S1: Collect the production data of the factory and perform preprocessing.

[0059] Select the data within a specified time period from the factory production database and perform preprocessing work such as taking the average value.

[0060] Optionally, some data can be set manually.

[0061] Furthermore, the factory production data is collected through the interfaces of the factory's LIMS (Laboratory Information Management System, platform data system), PI (Plant Information System, laboratory information management system), and MES (Plant Information System, manufacturing execution system data).

[0062] Step S2: Receive and store the factory production data, calculate the simulation data through the catalytic cracking full-process mechanism model, and use the obtained simulation data as the benchmark evaluation data.

[0063] Among them, the benchmark evaluation data can be understood as the initial data at initialization and used as the comparison data.

[0064] The catalytic cracking full-process mechanism model is constructed by the following method:

[0065] Step S21: Characterize the feedstock oil.

[0066] Step S22: Divide the feedstock oil into components according to the reaction mechanism.

[0067] Step S23: Divide the reaction network.

[0068] Step S24: Establish a reaction kinetics model.

[0069] The catalytic cracking full-process mechanism model constructed thereby can evaluate the performance of the core full process of the catalytic cracking unit, such as the feedstock mixing system, flue gas main air system, reaction regeneration system, main fractionation tower and its affiliated processes, diesel stripping tower, absorption tower, reabsorption tower, stabilizer tower, etc.

[0070] In this embodiment, the catalytic cracking full-process mechanism model is composed of a hydrocarbon reaction kinetics reaction system that couples carbon number distribution, sulfur and nitrogen distribution.

[0071] Step S3: Modify the operating conditions, calculate the simulation data through the catalytic cracking full-process mechanism model, use the obtained simulation data as the result evaluation data, and compare the result evaluation data with the hexagonal comprehensive index model to generate the performance evaluation result.

[0072] The hexagonal comprehensive index model includes octane barrel yield, comprehensive evaluation index of high-value-added products, unit energy consumption energy-saving index, carbon emission reduction index, residue blending ratio, and profit per ton of oil.

[0073] Among them, the octane barrel yield is the gasoline yield * RON;

[0074] RON refers to; the comprehensive evaluation index of high-value-added products, and the corresponding expression is:

[0075] (Gasoline yield * 1.2 + Diesel yield + LPG yield) * (Density / 10000) * (100 / (100 - Residual carbon * 0.8));

[0076] The energy consumption saving index per unit, and the corresponding expression is:

[0077] (Maximum energy consumption - Energy consumption per unit) / Maximum energy consumption;

[0078] The carbon emission reduction index, and the corresponding expression is:

[0079] (Maximum carbon dioxide emissions - Current carbon dioxide emissions) / Maximum carbon dioxide emissions;

[0080] The ratio of residue blending is the actual residue blending ratio / 20;

[0081] The actual residue blending ratio represents the proportion of processed inferior crude oil;

[0082] The benefit per ton of oil is the total benefit divided by the total processing volume.

[0083] Furthermore, the result evaluation data is normalized to the range of [0 - 100] and compared with the hexagonal comprehensive index model;

[0084] The normalization formula is

[0085] Among them, x is the original result evaluation data, x min is the minimum value of the original result evaluation data, x max is the maximum value of the original result evaluation data, and X is the result evaluation data after normalization, so that each comprehensive index is converted to a full score of 100 points.

[0086] In this embodiment, the operating conditions include operating variables and property variables.

[0087] Furthermore, step S3 further includes: establishing an input condition association constraint rule base, making a logical judgment on the modified operating variables, and judging whether the modified operating variables are valid.

[0088] If it is valid, calculate through the catalytic cracking full - process mechanism model; if it is invalid, prompt the user to modify the operating conditions.

[0089] By judging the validity of the operating variables input by the user, the predictability and reliability of the model for the device performance under the corresponding input conditions are improved.

[0090] Step S4: Display the performance evaluation result.

[0091] Visualize the performance evaluation results to observe the impact of changes in operating conditions on the product distribution and properties of the device, and thus the operating conditions can be modified.

[0092] Furthermore, step S4 further includes: generating a performance evaluation effect diagram, a property table input table, and a material balance table from the performance evaluation results and performing page display, so as to visually display the data on the web page.

[0093] Furthermore, step S4 further includes: generating a data report form to save the performance evaluation results under different operating conditions.

[0094] The data report form can be an EXCEL table. Thus, the data records under different operating conditions are saved and an EXCEL table is generated to improve the comparison and display degree of the device performance under different operating conditions.

[0095] The following uses a specific embodiment to illustrate the construction of the full-process mechanism model of the fluid catalytic cracking unit in step S2 of the present invention. The full-process mechanism of the fluid catalytic cracking unit is constructed by the following method steps:

[0096] Step S21: Characterize the feedstock oil.

[0097] The feedstock oil of the fluid catalytic cracking unit mainly has two categories, wax oil and residue oil. During the actual operation of the unit, recycled oil, dirty oil, washing oil, etc. will also be mixed in.

[0098] The wax oil can be further subdivided into straight-run wax oil produced by the atmospheric and vacuum distillation unit and hydrotreated wax oil obtained in the hydrotreating unit, while the source of the residue oil is relatively wide.

[0099] Considering the restrictions on sulfur and nitrogen indexes of the products, in this embodiment, a characterization method that couples the carbon number distribution, sulfur and nitrogen distributions and can reflect the chemical structure characteristics of the material is selected for the characterization of the feedstock oil.

[0100] Among them, Ni represents nitrogen, S represents sulfur, P represents paraffin, O represents olefin, A represents aromatic hydrocarbon, N represents naphthene, and is further divided according to the carbon number into C46+(V), C36-C45(H), C23-C35(LCO), C13-C22(D), C5-C12(G), C3, C4, C1-C2, coke, sour gas, etc.;

[0101] Among them, it can be approximately considered that V represents the fraction within the vacuum residue distillation range of the boiling point, H represents the fraction within the heavy oil distillation range of the boiling point, LCO represents the recycle oil component oil, D represents diesel, G represents gasoline, C4 represents the C4 component, C3P represents propane, C3= represents propylene, C2= represents ethylene, DR represents de-ethylened dry gas, C represents coke, and H2S represents hydrogen sulfide.

[0102] Step S22: Divide the feedstock oil into components according to the reaction mechanism.

[0103] According to the reaction mechanism, component design is carried out. Since domestic FCC units generally use heavy oil, and the analysis mainly focuses on the four-component analysis of the feedstock oil.

[0104] Therefore, the feedstock oil is divided into two types: one is the fraction with a boiling point within the vacuum residue distillation range, and the other is the fraction with a boiling point within the heavy oil distillation range.

[0105] Considering the limitations of product sulfur, nitrogen and other indicators, in this embodiment, diesel is divided into: diesel oil, sulfur component of diesel, and nitrogen component of diesel.

[0106] For gasoline, in this embodiment, it is divided into gasoline oil, sulfur component of gasoline, nitrogen component of gasoline, paraffin component of gasoline, naphthene component of gasoline, and aromatic component of gasoline.

[0107] For recycle oil, in this embodiment, it is divided into recycle oil feedstock, sulfur component of recycle oil, and nitrogen component of recycle oil, as shown in Table 1 specifically.

[0108] Table 1 Component division of feedstock oil

[0109]

[0110]

[0111] Small molecules such as propylene in liquefied gas are important chemical raw materials. With the increase in market demand and the rise in price, their importance has become even more prominent. Therefore, propane, propylene, ethylene (C3=) are respectively regarded as a separate component, and C4 and de-ethylened dry gas are regarded as another component.

[0112] Considering the differences in the properties of coke and dry gas, the amount of coke has a certain impact on deactivation. Therefore, coke (C), sulfur component in coke, and nitrogen component in coke are respectively considered as separate components.

[0113] Step S23: Divide the reaction network.

[0114] Catalytic cracking is a process of converting heavy hydrocarbons into light alkanes and olefins, which is a gas-solid phase reaction. The reaction mechanism follows the carbocation reaction mechanism. In the MIP-CGP process, the riser reactor is divided into two series-connected reaction zones. The conditions in the two reaction zones are different, but their mechanisms are the same. Therefore, the two reaction zones have the same reaction network.

[0115] The difference lies in that due to the short residence time and high temperature in the first reaction zone, the side reactions are relatively weak, while in the second reaction zone, due to the long residence time, the side reactions are intensified.

[0116] To simplify the design of the reaction network, it is assumed that instead of cracking reactions, each component undergoes a conversion reaction from a component with a larger molecular weight to a component with a smaller molecular weight.

[0117] This assumption is reasonable because for a certain reaction system with components E, F, G, H, and coke component C, assuming that the molecular weight of component E is much larger than that of F, G, and H, then every 1 mole of E can crack to generate F + G + aC, F + H + bC, G + H + cC, that is, 1 mole of E generates 1 mole each of two of F, G, and H, and the remaining mass is converted into coke. Then the overall reaction of component E can be written as E → xF + yG + zH + mC. Therefore, this equation can be split into simple reactions such as E → F, so the assumption holds.

[0118] Therefore, after considering the previous component division, the reaction network is designed as follows:

[0119] The cracking reaction of the VP feedstock oil component can produce (HP, LCO, D, GP, GO, C4, C3P, C3=, C2=, DR, C);

[0120] The cracking reaction of VA can produce (HA, LCO, D, GA, C);

[0121] The cracking reaction of VN can produce (VP, HP, HN, LCO, D, GP, GO, GN, C4, C3P, C3=, C2=, DR, C);

[0122] The cracking reaction of VNi can produce (Hni, LCO, Ni, DNi, GNi, CNi), and the cracking reaction of VS can produce (HS, LCOS, DS, GS, CS, H2S). Then the total number of cracking reactions of the 5 components of the V feedstock oil is 42.

[0123] The cracking reaction of the HP feedstock oil component can produce (LCO, D, GP, GO, C4, C3P, C3=, C2=, DR, C), the cracking reaction of HA can produce (HA, LCO, D, GA, C), the cracking reaction of HN can produce (HP, LCO, D, GP, GO, GN, C4, C3P, C3=, C2=, DR, C), the cracking reaction of HNi can produce (LCONi, DNi, GNi, CNi), and the cracking reaction of HS can produce (LCOS, DS, GS, CS, H2S). Then the total number of cracking reactions of the 5 components of the H feedstock oil is 36.

[0124] Diesel component (D) can be cracked to produce (GP, GO, GN, GA, C4, C3P, C3=, C2=, DR, C), and there are 10 cracking reactions.

[0125] Gasoline component GP can produce (GO, C4, C3P, C3=, C2=, DR, C), GN can produce (GO, C4, C3P, C3=, C2=, DR, C), GS can produce (CS, H2S), and there are 16 cracking reactions.

[0126] Recycle oil components (LCO, LCOS, LCONi) can produce (D, GP, GO, GN, GA, C4, C3P, C3=, C2=, DR, C, DNi, GNi, CNi, DS, GS, CS, H2S) in a total of 21 reactions.

[0127] Figure 2 Discloses a 125-reaction network partition diagram of the catalytic cracking full-process mechanism model according to an embodiment of the present invention, as Figure 2 shown, and the finally obtained reaction network contains 125 reactions.

[0128] Step S24, establish a reaction kinetic model.

[0129] The atomization of the feedstock oil in the reactor, the mixing of the catalyst, and the separation of the gas-solid phase after the reaction termination are not within the scope of discussion in this embodiment.

[0130] At the same time, catalytic cracking is a gas-solid heterogeneous reaction. In terms of the reaction mechanism, it involves problems such as internal diffusion, external diffusion, adsorption, and catalyst surface reaction kinetics. In this embodiment, the component kinetics method is used to consider the reaction process from a macroscopic perspective, so it is considered as a homogeneous reaction. At the same time, relevant research also shows that the error caused by ignoring the heterogeneous process is acceptable. Therefore, a large number of previous studies also consider the reaction as a homogeneous reaction.

[0131] Based on this, the rate expression of the reaction can be obtained as follows:

[0132]

[0133] Where:

[0134] a j represents the mass concentration of the group component, kg / kg;

[0135] X represents the dimensionless distance, X = x / L, where,

[0136] x is the riser height position, m;

[0137] L is the total length of the riser, m;

[0138] Kj is the reaction rate constant of the component, m 3 / (kg·h);

[0139] ρ is the gas density, kg / m 3 ;

[0140] S WH is the true weight hourly space velocity, h -1 ;

[0141] S WH = g feed (oil + inert) / s·g(catalyst), this formula represents the mass of the total feed (raw oil + steam feed + dry gas feed, etc.) divided by the mass of the catalyst. Among them, the unit of the total feed is g / s (which can be converted to kg / s), and the unit of the catalyst mass is g (which can be converted to kg), that is, the unit of S WH is s -1 ;

[0142] is the catalyst coking deactivation function, specifically as follows:

[0143]

[0144] Among them:

[0145] β is the catalyst coking deactivation factor;

[0146] C C is the coke content of the catalyst, wt%;

[0147] M is the catalyst coking deactivation function index;

[0148] f(A) is the heavy aromatic adsorption deactivation function:

[0149]

[0150] Among them,

[0151] k A is the heavy aromatic adsorption deactivation factor;

[0152] C A is the residual carbon content of the raw oil, m%;

[0153] f(N) is the basic nitrogen adsorption deactivation function;

[0154]

[0155] Among them, k N is the basic nitrogen adsorption deactivation factor;

[0156] C A is the basic nitrogen content of the raw oil, wt%;

[0157] t c is the catalyst residence time, s;

[0158] is the reactant - to - oil ratio, kg / kg;

[0159] According to the reaction network among various components in the reaction network, a system of differential equations for the reaction rates of 11 components can be obtained, and its vector form is:

[0160]

[0161] where K is the reaction rate constant matrix and a is the component concentration vector.

[0162] In the K matrix, k i，j is the reaction rate constant for component i to react to form component j. i represents the reactant component and j represents the product component. The rate constant conforms to the Arrhenius equation, that is:

[0163]

[0164] where k0 i，j , Ea i，j are respectively the pre - exponential factor and activation energy for the reaction of component i to form component j, T is the reaction temperature, and R is the molar gas constant, taking 8.3145 in the SI system.

[0165] Due to the characteristics of the riser reactor in the MIP process and for the need of simplifying calculations, the reactor is divided into two reaction zones. Meanwhile, ignoring the radial flow, a one - dimensional flow model is used for consideration. The selectable reaction models for the first reaction zone are the plug - flow model and the multi - stage continuous - stirred - tank reactor (CSTR) model.

[0166] Among them, the multi - stage CSTR model can select the number of stages according to the degree of deviation of the reaction from the plug - flow in actual situations.

[0167] The selectable reaction models for the second reaction zone are the plug - flow model, the CSTR model, and the multi - stage CSTR model. This is because the degree of deviation of the second reaction zone from the plug - flow under operating conditions is different.

[0168] To simplify the model, the plug - flow model is selected for both the first and second reaction zones this time. In this way, what is finally obtained is two non - isothermal plug - flow models in series.

[0169] Although the above - mentioned methods are illustrated and described as a series of actions for simplicity of explanation, it should be understood and appreciated that these methods are not limited by the order of the actions, because according to one or more embodiments, some actions can occur in a different order and / or concurrently with other actions that are illustrated and described herein or that are not illustrated and described herein but are understandable to those skilled in the art.

[0170] To achieve the above object, the present invention provides a device for evaluating the performance of an industrial catalytic cracking unit to implement the above method for evaluating the performance of an industrial catalytic cracking unit.

[0171] Figure 3 Discloses a schematic block diagram of a device for evaluating the performance of an industrial catalytic cracking unit according to an embodiment of the present invention, as Figure 3 shown, the device for evaluating the performance of an industrial catalytic cracking unit proposed by the present invention mainly includes a data acquisition and setting module 510, a data processing module 520, a performance evaluation module 530, and a data display module 540.

[0172] The data acquisition and setting module 510 is connected to the data processing module 520, acquires factory production data, performs preprocessing, and sends the preprocessed data to the data processing module 520;

[0173] The data processing module 520 is connected to the performance evaluation module 530, receives and stores factory production data, calculates simulation data through a full-process mechanism model of catalytic cracking, obtains the simulation data as reference evaluation data, and sends the reference evaluation data to the performance evaluation module 530;

[0174] The performance evaluation module 530 is connected to the data display module 540, receives the operating conditions input / modified by the data display module 540, calculates simulation data through a full-process mechanism model of catalytic cracking, obtains the simulation data as result evaluation data, compares the result evaluation data with a hexagon comprehensive index model to generate a performance evaluation result, and sends the performance evaluation result to the data display module 540;

[0175] The data display module 540 receives and displays the performance evaluation result;

[0176] Among them, the hexagon comprehensive index model includes octane barrel yield, comprehensive evaluation index of high-value-added products, unit energy consumption and energy-saving index, carbon emission reduction index, residue blending ratio, and profit per ton of oil.

[0177] Figure 4 Discloses a software program design diagram of a device for evaluating the performance of an industrial catalytic cracking unit according to an embodiment of the present invention, as Figure 4 shown in the embodiment, the data processing module 520 is based on the system program design of C#, and includes an interface for obtaining real-time data / historical data, a full-process mechanism model of catalytic cracking called by the program, and the C# program itself for processing specific business logics.

[0178] The actual data obtained by the data acquisition and setting module 510 is acquired through the PI, LIMS, and MES data interfaces of the factory.

[0179] The data acquisition setting module 510 retrieves on-site PI production data, LIMS analysis data, and MES statistical data or historical data, and inputs them into the full-process mechanism model of fluid catalytic cracking for calculation and initialization operations.

[0180] The user selects operating conditions in the data display module 540, and the operating conditions include operating variables and property variables.

[0181] The performance evaluation module 530 loads the changing difference into the full-process mechanism model of fluid catalytic cracking to start the calculation. After the calculation is completed, it compares the result evaluation data of the model output with the hexagonal comprehensive index model to generate the performance evaluation result, returns it to the background program, and then sends it to the data display module 540.

[0182] In Figure 4 In the illustrated embodiment, the data display module 540 is a Web client.

[0183] The application program design of the Web client includes JavaScript, HTML, CSS, and other static resources.

[0184] HTML and CSS files are used for interface display and also have functions such as beautifying the page;

[0185] JavaScript is used to handle simple logic for user interaction. Among them, jQuery is a concise and fast JavaScript framework used for Ajax interaction, operating on HTML, designing animations, and handling events.

[0186] In Figure 4 In the illustrated embodiment, the data processing module 520, the performance evaluation module 530, and the data display module 540 are connected through a relational database.

[0187] The system program design based on C# writes the acquired on-site data and model data into the relational database and starts waiting for the user operation signal to be sent;

[0188] The application program of the Web client returns the user operation signal and the data modified by the user to the relational database through ASP.NET;

[0189] According to the change of the signal bit in the relational database, the C# program starts to execute the corresponding operation and stores its input and output data in the relational database.

[0190] The ASP.NET program then obtains the input and output data of the mechanism model stored in the database in real time, and communicates with the JavaScript on the user side through AJAX (Asynchronous Javascript And XML And HTML) to display the input and output of the catalytic cracking full-process mechanism model on the user side browser.

[0191] Furthermore, other specific implementation details of the industrial catalytic cracking unit performance evaluation device correspond to the aforementioned industrial catalytic cracking unit performance evaluation method, so the specific details are not repeated here.

[0192] Figure 5 The operating flow chart of the performance evaluation device of an industrial catalytic cracking unit according to an embodiment of the present invention is disclosed. Figures 3 - 5 The operation process of the performance evaluation device of the industrial catalytic cracking unit is further described in detail:

[0193] 1) reading the factory production data of the data acquisition setting module 510, the factory production data including real-time data or historical data such as total feed load, feed temperature, feed pressure, stripping steam flow, mixed raw material density, and mixed raw material initial distillation point, and using the factory production data as input data for the catalytic cracking full process mechanism model;

[0194] 2) After calculating the catalytic cracking whole process mechanism model, an initialization result is obtained. Optionally, the initialization result is selected as the benchmark evaluation data (benchmark value). The initialization is completed. Optionally, the user can define a custom input value as the benchmark evaluation data (benchmark value);

[0195] 3) After the initialization is completed, the user selects or modifies the operating variables and property variables on the data display module 540. After the background program senses the change of the operating condition signal, it determines whether the operating condition data modification is valid according to the input condition association constraint rule library. If it is valid, the catalytic cracking full process mechanism model calculation is started to start the performance evaluation. If it is invalid, the user is prompted to modify the operating variables or property variables;

[0196] 4) After the calculation of the catalytic cracking whole process mechanism model is completed, the performance evaluation results after the mechanism model calculation are output and displayed on the front-end interface, and the current case is maintained and a performance evaluation result data report is generated.

[0197] 5) Each operation is considered as a case. Modify the operation variables and property variables again and run again to become a new case.

[0198] Figure 6Disclosed is a client interface diagram of a performance evaluation device for an industrial catalytic cracking unit according to an embodiment of the present invention. Figure 7 Disclosed is a client property variable interface diagram of a performance evaluation device for an industrial catalytic cracking unit according to an embodiment of the present invention. Figure 8 Disclosed is a client material balance sheet interface diagram of a performance evaluation device for an industrial catalytic cracking unit according to an embodiment of the present invention. Figure 9 Disclosed is a client performance evaluation form interface diagram of a performance evaluation device for an industrial catalytic cracking unit according to an embodiment of the present invention. Figure 10 Disclosed is a client performance evaluation effect diagram of a performance evaluation device for an industrial catalytic cracking unit according to an embodiment of the present invention. The following further describes the operation process of the data display module 540 of the performance evaluation device for the industrial catalytic cracking unit. Figures 6 - 10

[0199] 1) Enter the flowchart interface of the system.

[0200] As Figure 6 shown, click to select the start and end times of initialization in the upper left corner of the interface, and the default time is the current date of the system.

[0201] After clicking initialization, a dialog box appears to prompt the initialization running process. After the initialization process ends, the dialog box automatically disappears.

[0202] After the user modifies the input value and clicks [Start Running], the program is running.

[0203] Click [Show / Hide] in the upper right corner of the interface to display the initial reference value / variable label.

[0204] At this time, you can choose to click [Confirm Reference], that is, the initial reference value is changed to the current value.

[0205] When the user inputs a set of data and after the operation ends, if you want to save the current set of data in the current report, you can click [Save case].

[0206] Click [Download Report] to download the current report, or you can also download it in the report system.

[0207] 2) Click [Performance Input Table], as Figure 7 shown.

[0208] In this property input table, the user can modify the current value.

[0209] 3) Click [Material Balance Sheet], as Figure 8 shown.

[0210] On the left side of the interface are the input amounts of various materials and their comparison values, and on the right side are the yields and production amounts of the main products and their comparison values. Among them, the feed amount on the left side can also be modified.

[0211] 4) The performance evaluation report as Figure 9 shown can visually present various data changes under different working conditions during the performance evaluation process;

[0212] Among them, the initial value is a determined reference value. Different cases represent different working conditions, and the report will automatically bold the changed parameters for the convenience of users.

[0213] 5) The performance evaluation effect diagram as Figure 10 shown can visually display the performance evaluation results according to the hexagonal comprehensive index model.

[0214] Figure 11 Reveals the data flow diagram of the data report of the performance evaluation device for an industrial catalytic cracking unit according to an embodiment of the present invention, Figure 12 Reveals the functional flow diagram of the data report of the performance evaluation device for an industrial catalytic cracking unit according to an embodiment of the present invention. Combining Figure 11 and Figure 12 illustrates the data report of the performance evaluation system for an industrial catalytic cracking unit.

[0215] Through the report system, users can clearly understand the historical operating conditions of the system and it provides multiple functions such as previewing, downloading, and managing reports.

[0216] As Figure 11 shown, on the premise of logging in to the web page (LogOn.html) system, users log in to the function ASHX file (LogOn.ashx), enter the home page web page (MainPage.html), type in the report system web page (ReportSystemMain.html) or click on the "Report System Menu Web Page" (ReportSystemMenu.html) to achieve the report loading function, and then interact with the report function ASHX file (GetReports.ashx) through Ajax to achieve the basic report functions.

[0217] As Figure 12 shown in the specific business logic of the data report function, after entering the main page of the report system, the system automatically loads the left sidebar and classifies it.

[0218] After users click on the corresponding file, they select the operations to be performed, including report preview, download, deletion, and refresh.

[0219] As Figure 11 and Figure 12The data reporting system shown has greatly improved the efficiency of users in viewing and managing historical records.

[0220] Figure 13 It is a block diagram of a performance evaluation system for an industrial catalytic cracking unit according to an embodiment of the present invention. The performance evaluation system for an industrial catalytic cracking unit may include an internal communication bus 601, a processor 602, a read-only memory (ROM) 603, a random access memory (RAM) 604, a communication port 605, and a hard disk 607. The internal communication bus 601 can enable data communication among the components of the performance evaluation system for an industrial catalytic cracking unit. The processor 602 can make judgments and issue prompts. In some embodiments, the processor 602 may be composed of one or more processors.

[0221] The communication port 605 can enable data transmission and communication between the performance evaluation system for an industrial catalytic cracking unit and external input / output devices. In some embodiments, the performance evaluation system for an industrial catalytic cracking unit can send and receive information and data from a network through the communication port 605. In some embodiments, the performance evaluation system for an industrial catalytic cracking unit can perform data transmission and communication with external input / output devices in a wired form through the input / output terminal 606.

[0222] The performance evaluation system for an industrial catalytic cracking unit may also include program storage units and data storage units in different forms, such as the hard disk 607, the read-only memory (ROM) 603, and the random access memory (RAM) 604, which can store various data files used for computer processing and / or communication, as well as possible program instructions executed by the processor 602. The processor 602 executes these instructions to implement the main part of the method. The results processed by the processor 602 are transmitted to an external output device through the communication port 605 and displayed on the user interface of the output device.

[0223] For example, the implementation process file of the above-mentioned performance evaluation method for an industrial catalytic cracking unit can be a computer program, stored in the hard disk 607 and can be recorded in the processor 602 for execution to implement the method of the present application.

[0224] When the implementation process document of the industrial catalytic cracking unit performance evaluation method is a computer program, it can also be stored in a computer-readable storage medium as an article. For example, the computer-readable storage medium can include, but is not limited to, magnetic storage devices (e.g., hard disks, floppy disks, magnetic strips), optical disks (e.g., compact disks (CDs), digital versatile disks (DVDs)), smart cards, and flash memory devices (e.g., electrically erasable programmable read-only memories (EPROMs), cards, sticks, key drives). In addition, the 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, but is not limited to, wireless channels and various other media (and / or storage media) that can store, contain, and / or carry code and / or instructions and / or data.

[0225] The present invention provides an industrial catalytic cracking unit performance evaluation method and system, which specifically has the following beneficial effects:

[0226] 1) Based on data interface technology, the mechanism model can automatically load the current production unit operation data as simulation initial data, and the performance prediction input data can be modified to realize the investigation and comparison of the key operating conditions on the product distribution and properties of the unit, improving the agility of unit performance prediction;

[0227] 2) According to the characteristics and requirements of the unit, comprehensive adjustable conditions are provided, including operating conditions, material properties, etc., and comprehensive yield and property prediction display and recording are provided;

[0228] 3) According to the operating characteristics of the unit, an input condition association constraint rule library is established to logically judge the operating conditions input by the user and determine the validity of the input conditions, improving the predictability and reliability of the model for the unit performance under the corresponding input conditions;

[0229] 4) Provide device performance prediction records and comparative analysis under different input conditions, evaluate and predict the device performance according to the user input, record the key performance indicators of the device concerned by the user, store the predictions of the model for the device performance indicators under different input conditions, and display them in the form of charts, comparing the advantages and disadvantages of each performance indicator under different input conditions, and improving the comparative analysis function of device performance prediction.

[0230] Those skilled in the art will understand that information, signals, and data can be represented using any of a variety of different technologies and techniques. For example, the data, instructions, commands, information, signals, bits, symbols, and chips described throughout the above description can be represented by voltage, current, electromagnetic waves, magnetic fields or magnetic particles, optical fields or optical particles, or any combination thereof.

[0231] Those skilled in the art will further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein can be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, the various illustrative components, blocks, modules, circuits, and steps are described above 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.

[0232] The various illustrative logical modules and circuits described in connection with the embodiments disclosed herein can 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. The processor may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.

[0233] The steps of a method or algorithm described in connection with the embodiments disclosed herein can be embodied directly in hardware, in a software module executed by a processor, or in a combination of both. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, a 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 that the processor can read from, and write 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.

[0234] In one or more exemplary embodiments, the described functionality 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 via a computer-readable medium as one or more instructions or code. The computer-readable medium includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. The 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 include 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, 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 the medium. As used herein, the terms "disk" and "disc" include compact discs (CDs), laser discs, optical discs, digital versatile discs (DVDs), floppy disks, and Blu-ray discs, where disks typically reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

[0235] As used in this application and the claims, unless the context clearly indicates otherwise, the words "a," "an," "the," and / or "said" are not intended to refer to the singular and may also include the plural. In general, the terms "comprising" and "including" are used to indicate the inclusion of the specifically identified steps and elements, and these steps and elements do not constitute an exclusive listing, and a method or apparatus may also include other steps or elements.

[0236] The above embodiments are provided to those skilled in the art to implement or use the present invention. Those skilled in the art can make various modifications or changes to the above embodiments without departing from the inventive concept of the present invention. Therefore, the scope of protection of the present invention is not limited by the above embodiments, but should be the maximum scope that conforms to the innovative features mentioned in the claims.

Claims

1. A method for evaluating the performance of an industrial catalytic cracking unit, characterized in that, It includes the following steps: Step S1: Collect the factory production data and perform preprocessing; Step S2: Receive and store the factory production data, calculate the simulation data through the full - process mechanism model of catalytic cracking, and use the obtained simulation data as the benchmark evaluation data. The full - process mechanism model of catalytic cracking is composed of a hydrocarbon reaction kinetic reaction system that couples carbon number distribution, sulfur and nitrogen distribution; Step S3: Modify the operating conditions, calculate the simulation data through the full - process mechanism model of catalytic cracking, use the obtained simulation data as the result evaluation data, and compare the result evaluation data with the hexagonal comprehensive index model to generate a performance evaluation result. The hexagonal comprehensive index model includes octane number barrel yield, comprehensive evaluation index of high - value - added products, unit energy consumption energy - saving index, carbon emission reduction index, residue blending ratio, and profit per ton of oil; Step S4: Display the performance evaluation result; Among them, before calculating the simulation data through the full - process mechanism model of catalytic cracking in Step S3, it further includes: Establish an input condition correlation constraint rule base, perform a logical judgment on the modified operating conditions to determine whether the modified operating conditions are valid.

2. The performance evaluation method of the industrial catalytic cracking unit according to claim 1, wherein In Step S1, it further includes: Collect the factory production data through the platform data system, laboratory information management system, and manufacturing execution system data interface of the factory.

3. The industrial catalytic cracking unit performance evaluation method according to claim 1, characterized in that In Step S2, the full - process mechanism model of catalytic cracking is constructed by the following method: Characterize the feedstock; According to the reaction mechanism, divide the feedstock into components; Divide the reaction network; Establish a reaction kinetic model.

4. The performance evaluation method of the industrial catalytic cracking unit according to claim 1, wherein Step S3 further includes: Normalize the result evaluation data and then compare it with the hexagonal comprehensive index model; The normalization formula is Among them, x is the original result evaluation data, and x min is the minimum value of the original result evaluation data, and x max is the maximum value of the original result evaluation data. X is the result evaluation data after normalization.

5. The performance evaluation method of the industrial catalytic cracking unit according to claim 1, wherein Step S4 further includes: Generate a performance evaluation effect diagram, property input table, and material balance table for the performance evaluation result and perform page display.

6. The performance evaluation method of the industrial catalytic cracking unit according to claim 1, wherein Step S4 further includes: Generate a data report for the performance evaluation result and save the performance evaluation results under different operating conditions.

7. An industrial catalytic cracking unit performance evaluation system, including: A memory for storing instructions executable by a processor; A processor for executing the instructions to implement the method according to any one of claims 1 - 6.

8. A computer storage medium, on which computer instructions are stored, where when the computer instructions are executed by a processor, the method according to any one of claims 1 - 6 is executed.

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