Method, device, electronic equipment and medium for confirming the wall flow rate of regenerated catalyst

Abstract

The present application provides a method, device, electronic equipment and medium for confirming the wall adhesion flow rate of a regenerated catalyst, relating to the field of petrochemical technology, comprising: obtaining parameters that affect wall adhesion, wherein the parameters include: reactor parameters and gas parameters and catalyst parameters in the reactor; inputting the parameters into a wall adhesion calculation model to confirm the wall adhesion flow rate in the reactor, wherein the parameters involve various microscopic parameters, thereby improving the reliability of the wall adhesion calculation.

Description

Technical Field

[0001] The present application relates to the field of petrochemical technology, and in particular to a method, device, electronic equipment and medium for confirming the wall flow rate of a regenerated catalyst. Background Art

[0002] In the field of petrochemicals, the calculation of "sticking to the wall" belongs to hydraulic engineering calculations and will eventually be integrated into the full-process equation set of online optimization. Online optimization is the most advanced optimization technology in the development of full-process optimization control technology. It applies optimization technology to process control, seeks the optimal set of operating parameters while meeting various production technical indicators, and uses this set of parameters for the actual control of the device.

[0003] The modeling software used in the relevant technology does not involve the content of catalyst adhesion, and the parameters for the calculation of continuous reforming regeneration catalyst adhesion do not involve the microscopic morphology of the particles. Therefore, its reliability is questionable. The calculation of adhesion is very important for the load constraint in the continuous reforming unit. The lack of constraints on the calculation of adhesion will lead to problems in the reliability of seeking the optimal operating parameters for overall optimization. Summary of the Invention

[0004] In view of the above problems, the present application provides a method, device, electronic equipment and medium for confirming the wall adhesion flow rate of the regenerated catalyst, obtains the parameters affecting the wall adhesion, and confirms the wall adhesion flow rate based on the detailed data of the gas parameters, catalyst parameters and reactor parameters in the wall adhesion calculation model, thereby improving the reliability of the wall adhesion calculation.

[0005] In a first aspect, an embodiment of the present application provides a method for confirming the wall adhesion flow rate of a regenerated catalyst, comprising: obtaining parameters affecting wall adhesion, wherein the parameters include: reactor parameters and gas parameters and catalyst parameters in the reactor; inputting the parameters into a wall adhesion calculation model to confirm the wall adhesion flow rate in the reactor.

[0006] Furthermore, the wall-adherence calculation model includes:

[0007] G-EQ 2 -FQ=0

[0008] Among them, G is the conventional term parameter, E is the quadratic term parameter, F is the linear term parameter, and Q is the wall-adhering flow rate.

[0009] Furthermore, the reactor parameters include: the inner radius of the reactor bed and the equivalent outer radius of the reactor bed; the catalyst parameters include: the friction angle between the catalyst particles and the baffle wall; and the calculation formula of the conventional parameters is:

[0010]

[0011] Where r = r1 / r2, r1 is the inner radius of the reactor bed, r2 is the equivalent outer radius of the reactor bed, and f ρ =TAN(6), where 6 is the friction angle between catalyst particles and the baffle wall.

[0012] Furthermore, the reactor parameters include: effective bed height of the reactor, equivalent outer radius of the reactor bed; the catalyst parameters include: internal friction angle of catalyst particles, catalyst porosity, particle bulk density, catalyst particle diameter; the gas parameters include: gas density, gas viscosity; the calculation formula of the quadratic parameter is:

[0013]

[0014] Wherein, n=(k+1) / (2*k), k=(1+T) / (1-T), T=cos(2β)*SIN(ψ), β is the measurement parameter, Ψ is the internal friction angle of the catalyst particle, r=r1 / r2, r1 is the inner radius of the reactor bed, r2 is the equivalent outer radius of the reactor bed, A=α*ρg*(1-ε) / (4*π^2*L^2*d*ε^3*ρb*g*r2^2), C=ρg / (4*π^2*L^2*ρb*g*r2^3), α is the measurement coefficient, ρg is the gas density, L is the effective bed height of the reactor, ε is the catalyst void ratio, ρb is the particle bulk density, g is the gravity coefficient, μg is the gas viscosity, d is the catalyst particle diameter, and r2 is the equivalent outer radius of the reactor bed.

[0015] Furthermore, the reactor parameters include: reactor bed inner radius, reactor bed equivalent outer radius, reactor effective bed height; the catalyst parameters include: catalyst particle internal friction angle, catalyst porosity, catalyst particle diameter, particle bulk density; the gas parameters include: gas viscosity; the calculation formula of the linear parameter is:

[0016]

[0017] Wherein, n=(k+1) / (2*k), k=(1+T) / (1-T), T=cos(2β)*SIN(ψ), β is the intermediate parameter, Ψ is the internal friction angle of the catalyst particle, r=r1 / r2, r1 is the inner radius of the reactor bed, r2 is the equivalent outer radius of the reactor bed, B=β*μg*(1-ε)^2 / (2*π*L*d^2*ε^3*ρb*g*r2), β is the measurement coefficient, μg is the gas viscosity, ε is the catalyst porosity, L is the effective bed height of the reactor, d is the catalyst particle diameter, ρb is the particle bulk density, and g is the gravity coefficient.

[0018] Furthermore, the method for confirming the wall-adhering flow rate of the regenerated catalyst also includes: determining the wall-adhering flow rate as a threshold parameter when the continuous reforming device performs variable optimization; and optimizing and confirming the operating parameters of the continuous reforming device based on the threshold parameter.

[0019] In the second aspect, an embodiment of the present application provides a device for confirming the wall adhesion flow rate of a regenerated catalyst, including: an acquisition module for obtaining parameters affecting wall adhesion, wherein the parameters include: reactor parameters and gas parameters and catalyst parameters in the reactor; a first confirmation module for inputting the parameters into a wall adhesion calculation model to confirm the wall adhesion flow rate in the reactor.

[0020] In a third aspect, an embodiment of the present application provides an electronic device comprising: at least one processor and a memory; the processor is used to execute a computer program stored in the memory to implement a method for confirming the wall adhesion flow of a regenerated catalyst as described in any embodiment of the first aspect.

[0021] In a fourth aspect, an embodiment of the present application provides a computer storage medium storing one or more programs, which can be executed by an electronic device as described in the third aspect to implement a method for confirming the wall adhesion flow rate of a regenerated catalyst as described in any embodiment of the first aspect.

[0022] The embodiments of the present application provide a method, device, electronic device, and medium for confirming the wall adhesion flow rate of a regenerated catalyst. After obtaining the parameters affecting the wall adhesion, the reactor parameters, gas parameters, and catalyst parameters are input into a preset wall adhesion calculation model to obtain the wall adhesion flow rate. The parameters involve various microscopic parameters, which improves the reliability of the wall adhesion calculation.

[0023] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Hereinafter, the present application will be described in more detail based on embodiments with reference to the accompanying drawings.

[0025] Figure 1 The following is a structural block diagram of a system for confirming the wall flow rate of a regenerated catalyst proposed in one embodiment of the present application;

[0026] Figure 2 A schematic flow chart of a method for confirming the wall-adhering flow rate of a regenerated catalyst proposed in one embodiment of the present application is shown;

[0027] Figure 3A schematic flow chart of another method for confirming the wall-adhering flow rate of a regenerated catalyst proposed in one embodiment of the present application is shown;

[0028] Figure 4 The following is a structural block diagram of a device for confirming the wall flow rate of a regenerated catalyst proposed in one embodiment of the present application;

[0029] Figure 5 The following is a block diagram of the structure of an electronic device for executing the method for confirming the wall flow rate of the regenerated catalyst according to the embodiment of the present application;

[0030] Figure 6 A computer-readable storage medium proposed in an embodiment of the present application for storing or carrying a method for confirming the wall-adhering flow rate of a regenerated catalyst according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0031] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with examples and drawings. The exemplary embodiments of the present invention and their descriptions are only used to explain the present invention and are not intended to limit the present invention.

[0032] During the online optimization of a continuous reformer, calculating the "wall adhesion" process is crucial. This is because reformers typically optimize feed rates, but if the feed is not constrained by wall adhesion, increasing the feed rate can lead to reactor wall adhesion.

[0033] To address the above issues, the applicant has proposed a method, device, electronic device, and medium for determining the wall-adherence flow rate of a regenerated catalyst, as provided in the embodiments of this application. By obtaining parameters affecting wall adhesion, including particle micromorphology parameters, and inputting reactor parameters, gas parameters within the reactor, and catalyst parameters into a pre-established wall-adherence calculation model, the wall-adherence flow rate within the reactor is determined. Constraints can be derived based on the wall-adherence flow rate, thereby improving the reliability of the overall optimization. The method for determining the wall-adherence flow rate of a regenerated catalyst is described in detail in subsequent embodiments.

[0034] The following describes the application scenarios of the calculation method of the regeneration catalyst wall flow rate provided in the embodiment of the present application:

[0035] See also Figure 1 , Figure 1 1 is a structural block diagram of a system 100 for confirming the flow rate of regenerated catalyst adhering to the wall provided in an embodiment of the present application. In this embodiment, the method for confirming the flow rate of regenerated catalyst adhering to the wall can be applied to the system 100 for confirming the flow rate of regenerated catalyst adhering to the wall, the device 300 for confirming the flow rate of regenerated catalyst adhering to the wall ( Figure 4 ) and electronic device 400( Figure 5 ), wherein the electronic device 100 may be a DCS, a smart phone, a tablet computer, a desktop computer, etc. Figure 1 As shown, a system 100 for determining the wall adhesion flow rate of a regenerated catalyst may include an input module 102, a wall adhesion calculation model 104, and a continuous reforming unit 106. Input module 102 may directly obtain reactor parameters, gas parameters in the reactor, and catalyst parameter information, and transmit this information to the wall adhesion calculation model 104 via wired and / or wireless means. The wall adhesion calculation model 104 may be pre-configured. After obtaining the various parameter information transmitted by input module 102, the wall adhesion calculation model 104 calculates the wall adhesion flow rate. The wall adhesion flow rate can be used as a constraint to ensure the stability of the overall wall adhesion process. The wall adhesion calculation model 104 transmits the wall adhesion flow rate data to the continuous reforming unit 106. The continuous reforming unit 106 determines the wall adhesion constraint range based on the wall adhesion flow rate data and optimizes the input of various parameters. In other words, the catalyst parameters and gas parameters can be adjusted to optimize the production unit's operating state, achieve the highest expected value, and improve production efficiency.

[0036] See also Figure 2 , Figure 2 A schematic flow chart of a method for confirming the wall-adhering flow rate of a regenerated catalyst provided in an embodiment of the present application. The method may include steps S110 to S120.

[0037] Step S110: Acquire parameters that affect wall adhesion, wherein the parameters include: reactor parameters and gas parameters and catalyst parameters in the reactor.

[0038] In the embodiment of the present application, the parameters obtained can be obtained by instrument measurement before input, the catalyst parameters can be the single particle density of the catalyst, particle bulk density, particle internal friction angle, particle and mesh wall friction angle, particle porosity and other microscopic and macroscopic parameters, the gas parameters can be gas density and gas viscosity, and the reactor parameters can be the overall structural dimensions of the reactor, such as the effective bed height of the reactor, the equivalent outer radius of the reactor bed and the inner radius of the reactor bed.

[0039] Step S120: Input parameters into the wall adhesion calculation model to determine the wall adhesion flow rate in the reactor.

[0040] In embodiments of the present application, a wall adhesion calculation model can be pre-established. When establishing the wall adhesion calculation model, the wall adhesion flow rate calculated by the model can be compared with the actually measured wall adhesion flow rate, and parameter inputs can be adjusted based on the comparison results. As an embodiment, when the comparison results deviate significantly, the wall adhesion calculation model can be monitored and confirmed. For example, the wall adhesion calculation model can be embedded in an external online optimization software platform. Parameters can be imported based on the "wall adhesion" simulation calculation to perform forward calculations to obtain the wall adhesion flow rate. The wall adhesion flow rate can then be used to reversely calculate the input parameters, and the wall adhesion calculation model can be tested by comparing the parameters.

[0041] In this embodiment, the present application proposes to construct simulation software for use in reforming reactors, namely, a wall adhesion calculation model. By introducing a large number of microstructure input parameters, the model has extremely high accuracy, thereby improving the credibility of the model's wall adhesion calculation.

[0042] Considering that online optimization technology can optimize the production process by adjusting operating parameters without modifying the process flow or adding production equipment, and setting the objective function to maximize benefits and high value-added yield, online optimization technology can optimize the production process by adjusting parameters such as pressure, temperature, and load without modifying the process flow or adding or reducing production equipment, thus achieving the highest expected value, a method for confirming the regenerated catalyst wall flow rate was further developed.

[0043] See also Figure 3 , Figure 3 A schematic flow chart of a method for confirming the wall-adhering flow rate of a regenerated catalyst provided in an embodiment of the present application. The method may include steps S210 to S220.

[0044] Step S210: determining the wall-adhering flow rate as a threshold parameter for variable optimization of the continuous reforming device.

[0045] In an embodiment of the present application, the continuous reforming device can adjust the input of catalyst parameters, reactor parameters and gas parameters. Various parameters are required to confirm the wall-adhering flow rate. After the wall-adhering flow rate is obtained, due to the requirements of different projects, generation indicators, etc., there can be multiple ways to limit the input parameters. For example, the threshold parameter can be a protection module, which limits the content of the gas introduced into the reactor, thereby ensuring that no safety accidents occur during the wall-adhering process. The threshold parameter means that the input parameter is set within a limited range according to the requirements while meeting the variable optimization requirements.

[0046] Step S220: Optimizing and confirming the operating parameters of the continuous reforming device based on the threshold parameters.

[0047] In an embodiment of the present application, the continuous reforming device can optimize and adjust the operating parameters according to the threshold parameters, that is, adjust the parameters transmitted to the input module to limit the wall-adhering calculation model according to the usage requirements. For example, for the gas parameters, it limits the gas type, resulting in a difference between the optimal estimated value achieved by the existing wall-adhering calculation model and the estimated value actually required. Therefore, it is necessary to associate the wall-adhering flow rate and the corresponding variable optimization to further adjust the input parameter data. For example, the accurate wall-adhering flow rate can be calculated based on the real-time on-site parameters of the device, and then combined with the given wall-adhering constraint range to optimize other operating parameters of the entire continuous reforming device such as the reforming feed amount, hydrogen-to-oil ratio, etc.

[0048] It should be noted that the wall-adherence calculation model in this application can use the "wall-adherence" of hydraulic calculation as a constraint condition.

[0049] In this application, according to the actual project requirements and the device performance of the reactor, without adding major equipment, the operating potential of the existing production equipment can be brought into play by adjusting the parameters to achieve energy saving, consumption reduction and production increase.

[0050] In some embodiments, the wall-adherence computational model comprises:

[0051] G-EQ 2 -FQ=0

[0052] Among them, G is the conventional term parameter, E is the quadratic term parameter, F is the linear term parameter, and Q is the wall-adhering flow rate.

[0053] In some embodiments, the reactor parameters include: the inner radius of the reactor bed and the equivalent outer radius of the reactor bed; the catalyst parameters include: the friction angle between the catalyst particles and the baffle wall; the calculation formula for the conventional parameters is:

[0054]

[0055] Where r = r1 / r2, r1 is the inner radius of the reactor bed, r2 is the equivalent outer radius of the reactor bed, and f ρ =TAN(6), where 6 is the friction angle between catalyst particles and the baffle wall.

[0056] In some embodiments, the reactor parameters include: effective bed height of the reactor, equivalent outer radius of the reactor bed; the catalyst parameters include: internal friction angle of the catalyst particles, catalyst porosity, particle bulk density, catalyst particle diameter; the gas parameters include: gas density, gas viscosity; the calculation formula of the quadratic parameter is:

[0057]

[0058] Wherein, n=(k+1) / (2*k), k=(1+T) / (1-T), T=cos(2β)*SIN(ψ), β is the measurement parameter, Ψ is the internal friction angle of the catalyst particle, r=r1 / r2, r1 is the inner radius of the reactor bed, r2 is the equivalent outer radius of the reactor bed, A=α*ρg*(1-ε) / (4*π^2*L^2*d*ε^3*ρb*g*r2^2), C=ρg / (4*π^2*L^2*ρb*g*r2^3), α is the measurement coefficient, ρg is the gas density, L is the effective bed height of the reactor, ε is the catalyst void ratio, ρb is the particle bulk density, g is the gravity coefficient, μg is the gas viscosity, d is the catalyst particle diameter, and r2 is the equivalent outer radius of the reactor bed.

[0059] In some embodiments, the reactor parameters include: reactor bed inner radius, reactor bed equivalent outer radius, reactor effective bed height; the catalyst parameters include: catalyst particle internal friction angle, catalyst porosity, catalyst particle diameter, particle bulk density; the gas parameters include: gas viscosity; the linear parameter is calculated as follows:

[0060]

[0061] Wherein, n=(k+1) / (2*k), k=(1+T) / (1-T), T=cos(2β)*SIN(ψ), β is the intermediate parameter, Ψ is the internal friction angle of the catalyst particle, r=r1 / r2, r1 is the inner radius of the reactor bed, r2 is the equivalent outer radius of the reactor bed, B=β*μg*(1-ε)^2 / (2*π*L*d^2*ε^3*ρb*g*r2), β is the measurement coefficient, μg is the gas viscosity, ε is the catalyst porosity, L is the effective bed height of the reactor, d is the catalyst particle diameter, ρb is the particle bulk density, and g is the gravity coefficient.

[0062] It should be noted that α and β are measurement coefficients, 2β=90+6-cos -1 (sin6 / sinψ).

[0063] See also Figure 4 , Figure 4 This is a structural block diagram of a device 300 for confirming the wall flow rate of a regenerated catalyst provided in this application. The vehicle fault detection device 300 includes: an acquisition module 310 and a first confirmation module 320, wherein:

[0064] The acquisition module 310 is used to acquire parameters that affect the adhesion, wherein the parameters include: reactor parameters and gas parameters and catalyst parameters in the reactor.

[0065] The first confirmation module 320 is used to input parameters into the wall adhesion calculation model to confirm the wall adhesion flow rate in the reactor.

[0066] Furthermore, the device 300 for confirming the wall-adhering flow rate of the regenerated catalyst further includes:

[0067] The second confirmation module is used to determine the wall-adhering flow rate as a threshold parameter when the continuous reforming device is optimized for variables.

[0068] The third confirmation module is used to optimize and confirm the operating parameters of the continuous reforming device based on the threshold parameters.

[0069] It should be noted that the device embodiments in this application correspond to the aforementioned method embodiments. The specific principles in the device embodiments can be found in the contents of the aforementioned method embodiments and will not be repeated here.

[0070] In several embodiments provided in this embodiment, the coupling between modules may be electrical, mechanical or other forms of coupling.

[0071] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing module, or each module may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or software functional modules.

[0072] See also Figure 5 , Figure 5 This is a structural block diagram of an electronic device 400 provided in an embodiment of the present application that can execute the above-mentioned method for confirming the wall flow rate of the regenerated catalyst. The electronic device 400 can be a smart phone, tablet computer, computer or portable computer.

[0073] The electronic device 400 further includes a processor 402 and a memory 404 . The memory 404 stores a program capable of executing the contents of the aforementioned embodiments, and the processor 402 can execute the program stored in the memory 404 .

[0074] The processor 402 may include one or more cores for processing data and a message matrix unit. The processor 402 utilizes various interfaces and circuits to connect various components within the electronic device 400. It executes instructions, programs, code sets, or instruction sets stored in the memory 404, and accesses data stored in the memory 404 to perform various functions and process data within the electronic device 400. Optionally, the processor 402 may be implemented using at least one of the following hardware forms: a digital signal processing (DSP), a field-programmable gate array (FPGA), or a programmable logic array (PLA). The processor 402 may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), and a modem (decoder). The CPU primarily processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing display content; and the modem handles wireless communications. It is understood that the modem (decoder) may not be integrated into the processor and may be implemented separately via a communications chip.

[0075] The memory 404 may include a random access memory (RAM) or a read-only memory (ROM). The memory 404 may be used to store instructions, programs, codes, code sets, or instruction sets. The memory 404 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (e.g., instructions for a user to obtain a random number), instructions for implementing the various method embodiments described below, and the like. The data storage area may also store data (e.g., random numbers) created by the terminal during use.

[0076] The electronic device 400 may also include a network module and a screen. The network module is used to receive and transmit electromagnetic waves, realize the mutual conversion between electromagnetic waves and electrical signals, and thus communicate with a communication network or other devices, such as communicating with an audio playback device. The network module may include various existing circuit components for performing these functions, such as an antenna, a radio frequency transceiver, a digital signal processor, an encryption / decryption chip, a user identity module (SIM) card, a memory, etc. The network module can communicate with various networks such as the Internet, an intranet, a wireless network, or communicate with other devices via a wireless network. The above-mentioned wireless network may include a cellular telephone network, a wireless local area network, or a metropolitan area network. The screen can display interface content and perform data interaction.

[0077] Please refer to Figure 6 , which shows a block diagram of a computer-readable storage medium provided in an embodiment of the present application. The computer-readable medium 500 stores program code 510, which can be called by a processor to execute the method described in the above method embodiment.

[0078] The computer-readable storage medium may be an electronic memory such as a flash memory, an EEPROM (Electrically Erasable Programmable Read-Only Memory), an EPROM, a hard disk, or a ROM. Alternatively, the computer-readable storage medium includes a non-transitory computer-readable storage medium. The computer-readable storage medium has storage space for program code for executing any of the method steps in the above method. These program codes can be read from or written to one or more computer program products. The program code can be compressed, for example, in an appropriate form.

[0079] The present application also provides a computer program product or computer program, comprising computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the method for determining the regenerated catalyst wall flow rate described in the various optional implementations described above.

[0080] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for confirming the wall flow rate of a regenerated catalyst, characterized in that: The method comprises: Obtaining parameters affecting wall adhesion, wherein the parameters include: reactor parameters and gas parameters and catalyst parameters in the reactor; Inputting the parameters into the wall adhesion calculation model to determine the wall adhesion flow rate in the reactor; The wall-adherence calculation model includes: G-EQ 2 -FQ=0 Among them, G is the conventional term parameter, E is the quadratic term parameter, F is the linear term parameter, and Q is the wall flow rate; The reactor parameters include: the inner radius of the reactor bed and the equivalent outer radius of the reactor bed. The catalyst parameters include: the friction angle between the catalyst particles and the baffle wall. The calculation formula of the conventional parameters is: Where r = r1 / r2, r1 is the inner radius of the reactor bed, r2 is the equivalent outer radius of the reactor bed, f ρ =TAN(б), б is the friction angle between catalyst particles and baffle wall; The reactor parameters include: effective bed height of the reactor, equivalent outer radius of the reactor bed; the catalyst parameters include: internal friction angle of catalyst particles, catalyst porosity, particle bulk density, catalyst particle diameter; the gas parameters include: gas density, gas viscosity; the calculation formula of the quadratic parameter is: Where n = (k + 1) / (2 * k), k = (1 + T) / (1 - T), T = cos (2β) * SIN (ψ), β is the measurement parameter, Ψ is the friction angle of the catalyst particles, r = r1 / r2, r1 is the inner radius of the reactor bed, r2 is the equivalent outer radius of the reactor bed, A = α * ρg * (1-ε) / (4*π^2*L^2*d*ε^3*ρb*g * r2^2), C=ρg / (4*π^2*L^2*ρb*g * r2^3), α is the measurement coefficient, ρg is the gas density, L is the effective bed height of the reactor, ε is the catalyst void ratio, ρb is the particle bulk density, g is the gravity coefficient, μg is the gas viscosity, d is the catalyst particle diameter, and r2 is the equivalent outer radius of the reactor bed; The reactor parameters include: reactor bed inner radius, reactor bed equivalent outer radius, reactor effective bed height; the catalyst parameters include: catalyst particle internal friction angle, catalyst porosity, catalyst particle diameter, particle bulk density; the gas parameters include: gas viscosity; the calculation formula of the linear parameter is: Where n = (k + 1) / (2 * k), k = (1 + T) / (1 - T), T = cos (2β) * SIN (ψ), β is the intermediate parameter, Ψ is the friction angle of the catalyst particles, r = r1 / r2, r1 is the inner radius of the reactor bed, r2 is the equivalent outer radius of the reactor bed, B = β * μg * (1-ε)^2 / (2*π*L*d^2*ε^3*ρb*g * r2), β is the measurement coefficient, μg is the gas viscosity, ε is the catalyst void ratio, L is the effective bed height of the reactor, d is the catalyst particle diameter, ρb is the particle bulk density, and g is the gravity coefficient.

2. The method according to claim 1, characterized in that The method further comprises: Determining the wall-adherent flow rate as a threshold parameter for variable optimization of a continuous reforming device; The operating parameters of the continuous reformer are optimized and confirmed based on the threshold parameters.

3. A device for confirming the wall flow rate of a regenerated catalyst, characterized in that: The device comprises: An acquisition module, configured to acquire parameters affecting adhesion, wherein the parameters include reactor parameters and gas parameters and catalyst parameters in the reactor; A first confirmation module is used to input the parameters into the wall adhesion calculation model to confirm the wall adhesion flow rate in the reactor; Wherein, the wall-adherence calculation model includes: G-EQ 2 -FQ=0 Among them, G is the conventional term parameter, E is the quadratic term parameter, F is the linear term parameter, and Q is the wall flow rate; The reactor parameters include: the inner radius of the reactor bed and the equivalent outer radius of the reactor bed. The catalyst parameters include: the friction angle between the catalyst particles and the baffle wall. The calculation formula of the conventional parameters is: Where r = r1 / r2, r1 is the inner radius of the reactor bed, r2 is the equivalent outer radius of the reactor bed, f ρ =TAN(б), б is the friction angle between catalyst particles and baffle wall; The reactor parameters include: effective bed height of the reactor, equivalent outer radius of the reactor bed; the catalyst parameters include: internal friction angle of catalyst particles, catalyst porosity, particle bulk density, catalyst particle diameter; the gas parameters include: gas density, gas viscosity; the calculation formula of the quadratic parameter is: Where n = (k + 1) / (2 * k), k = (1 + T) / (1 - T), T = cos (2β) * SIN (ψ), β is the measurement parameter, Ψ is the friction angle of the catalyst particles, r = r1 / r2, r1 is the inner radius of the reactor bed, r2 is the equivalent outer radius of the reactor bed, A = α * ρg * (1-ε) / (4*π^2*L^2*d*ε^3*ρb*g * r2^2), C=ρg / (4*π^2*L^2*ρb*g * r2^3), α is the measurement coefficient, ρg is the gas density, L is the effective bed height of the reactor, ε is the catalyst void ratio, ρb is the particle bulk density, g is the gravity coefficient, μg is the gas viscosity, d is the catalyst particle diameter, and r2 is the equivalent outer radius of the reactor bed; The reactor parameters include: reactor bed inner radius, reactor bed equivalent outer radius, reactor effective bed height; the catalyst parameters include: catalyst particle internal friction angle, catalyst porosity, catalyst particle diameter, particle bulk density; the gas parameters include: gas viscosity; the calculation formula of the linear parameter is: Wherein, n=(k+1) / (2*k), k=(1+T) / (1-T), T=cos(2β)*SIN(ψ), β is the intermediate parameter, Ψ is the internal friction angle of the catalyst particle, r=r1 / r2, r1 is the inner radius of the reactor bed, r2 is the equivalent outer radius of the reactor bed, B=β*μg*(1-ε)^2 / (2*π*L*d^2*ε^3*ρb*g*r2), β is the measurement coefficient, μg is the gas viscosity, ε is the catalyst porosity, L is the effective bed height of the reactor, d is the catalyst particle diameter, ρb is the particle bulk density, and g is the gravity coefficient.

4. The device according to claim 3, characterized in that The device further comprises: A second confirmation module is used to determine the wall-adhering flow rate as a threshold parameter when the continuous reforming device performs variable optimization; A third confirmation module is configured to optimize and confirm the operating parameters of the continuous reforming device based on the threshold parameters.

5. An electronic device, characterized in that: include: one or more processors; Memory; One or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs are configured to execute the method for confirming the wall adhesion flow of the regenerated catalyst as described in any one of claims 1-2.

6. A computer-readable storage medium, characterized in that The computer-readable storage medium stores program codes, and the program codes can be called by one or more processors to execute the method for confirming the wall-adhering flow rate of the regenerated catalyst as described in any one of claims 1-2.

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