Method and apparatus for evaluating catalyst life in a catalytic cracking unit

Abstract

This invention relates to the field of catalyst lifetime assessment methods and apparatus, specifically a method and apparatus for assessing the lifetime of a catalyst in a catalytic cracking unit. The method includes: identifying adsorbate information and physical information within each catalytic reaction of the catalyst; identifying the distribution information of adsorbate changes in the catalyst; and performing lifetime assessment processing based on a catalyst lifetime assessment strategy to obtain target lifetime information for the catalyst. This invention comprehensively analyzes the catalyst lifetime information from three perspectives: environmental factors, physical factors, and adsorbate factors. This not only improves the comprehensiveness of catalyst data in analyzing catalyst lifetime but also enhances the comprehensiveness of influencing factors, thereby improving the accuracy of the assessed catalyst lifetime in the catalytic cracking unit.

Description

Technical Field

[0001] This invention relates to the field of catalyst lifetime assessment methods and apparatus, specifically a method for assessing the lifetime of a catalyst in a catalytic cracking unit, and also includes an apparatus for assessing the lifetime of a catalyst in a catalytic cracking unit. Background Technology

[0002] Catalyst lifetime refers to the time a catalyst can maintain good catalytic activity during a catalytic reaction. Catalyst lifetime is influenced by various factors, among which the physical properties of the catalyst are one of the main factors. These physical properties include particle size, shape, and surface area. Smaller particle size and larger surface area are beneficial for improving catalyst activity, but they can also easily lead to catalyst deactivation. In catalytic cracking units, a longer catalyst lifetime plays a crucial role in the unit's production efficiency. Therefore, how to evaluate the catalyst lifetime in catalytic cracking units is a current research focus.

[0003] In traditional catalytic cracking units, catalyst lifetime is assessed by manually sampling and analyzing the physical properties of the catalyst. However, the accuracy of manual analysis is affected by the sampled data and human experience, resulting in low accuracy in assessing catalyst lifetime. Summary of the Invention

[0004] This invention provides a method and apparatus for evaluating the catalyst lifetime of a catalytic cracking unit, which overcomes the shortcomings of the prior art and effectively solves the problem of low evaluation accuracy in traditional catalytic cracking unit catalyst lifetime evaluation methods.

[0005] One of the technical solutions of this invention is achieved through the following measures: a method for evaluating the catalyst lifetime of a catalytic cracking unit, comprising: The structural environment information of each structure of the catalytic cracking unit, the physical structure information of different catalysts, and the catalytic cracking model corresponding to the catalytic cracking unit are obtained. Based on the catalytic cracking model and the physical structure information of each catalyst, multiple rounds of catalytic cracking reaction processes are simulated to obtain the catalytic reaction information of each catalyst. Based on the structural environment information of each of the structures, the catalytic environment information of the catalytic cracking unit is identified, and for each catalyst, the adsorbate information in each catalytic reaction information of the catalyst and the physical information in each catalytic reaction information are identified; Based on the physical information of each catalytic reaction and the reaction cycle of each catalytic reaction, physical change distribution information of the catalyst is generated, and based on the adsorbate information in each catalytic reaction and the reaction cycle of the catalytic reaction, adsorbate change distribution information of the catalyst is identified. A lifetime assessment strategy for the catalyst is obtained, and based on the lifetime assessment strategy, lifetime assessment processing is performed on the catalytic environment information, the physical change distribution information of the catalyst, and the adsorbate change distribution information of the catalyst to obtain the target lifetime information of the catalyst.

[0006] The following are further optimizations and / or improvements to one of the above-mentioned technical solutions: Optionally, the step of simulating multiple rounds of catalytic cracking reaction processes based on the catalytic cracking model and the physical structure information of the catalyst to obtain catalytic reaction information for each catalyst includes: Based on the physical structure information of each catalyst, the particle size and surface area of ​​each catalyst are identified, and the catalysts are sorted in ascending order of particle size and surface area to obtain the catalytic reaction sequence of each catalyst. According to the catalytic reaction sequence, the catalytic cracking model is used to simulate multiple rounds of catalytic cracking reaction processes for each catalyst, thereby obtaining the catalytic reaction information of each catalyst after each round of catalytic cracking reaction process.

[0007] Optionally, identifying the catalytic environment information of the catalytic cracking unit based on the structural environment information of each of the aforementioned structures includes: For each structure's environmental information, the flow rate information, temperature information, and pressure information within the structure are identified, and the flow rate information, temperature information, and pressure information are used as the sub-catalytic environmental information of the structure. The catalytic environment information of all structures is used as the catalytic environment information of the catalytic cracking unit.

[0008] Optionally, the step of identifying the adsorbate information in each catalytic reaction information of the catalyst, and the physical information in each catalytic reaction information, includes: For each catalytic reaction information, the area occupied by the adsorbate on the surface of the catalyst and the adsorption mode of the adsorbate are identified in the catalytic reaction information, and the adsorption ratio of the adsorbate is calculated based on the area occupied by the adsorbate and the surface area of ​​the catalyst. The adsorption method and the adsorption ratio of the adsorbent are used as adsorbent information; Identify the current catalyst particle size and the current catalyst surface area in the catalytic reaction information, and use the current catalyst particle size and the current catalyst surface area as physical information in the catalytic reaction information.

[0009] Optionally, generating the physical change distribution information of the catalyst based on the physical information of each catalytic reaction and the reaction cycle of each catalytic reaction includes: According to the reaction cycle of each catalytic reaction information from front to back, the current catalyst surface area of ​​each catalytic reaction information is sorted by distribution to obtain the surface integral distribution information of the catalyst. Based on the surface area distribution information, the surface integral distribution fitting curve of the catalyst and the surface integral distribution range of the catalyst are calculated by a fitting algorithm. The surface area distribution curve of the catalyst and the surface area distribution range of the catalyst are used as the surface area variation distribution information of the catalyst. Based on the current catalyst particle size in each catalytic reaction information, the catalyst particle size range corresponding to each catalyst reaction information and the content ratio of each particle size in each catalyst particle size range are identified. Based on the catalyst particle size range corresponding to each catalyst reaction information and the content ratio of each particle size in each catalyst particle size range, the particle size range variation distribution information and the content ratio variation distribution information of each particle size of the catalyst are generated in the order of the reaction cycle of the catalytic reaction information from front to back. The surface area variation distribution information of the catalyst, the particle size range variation distribution information of the catalyst, and the content ratio variation distribution information of each particle size of the catalyst are used as the physical variation distribution information of the catalyst.

[0010] Optionally, the step of identifying the adsorbate change distribution information of the catalyst based on the adsorbate information in each of the catalytic reaction information and the reaction cycle of each of the catalytic reaction information includes: According to the adsorption mode of the adsorbents in each of the catalytic reaction information, the adsorption ratio of the adsorbents in each of the catalytic reaction information is classified to obtain multiple catalytic reaction groups. For each catalytic reaction group, the adsorption ratio of each adsorbent in the catalytic reaction group is arranged in the order of the reaction cycles of each catalytic reaction information in the catalytic reaction group from front to back, so as to obtain the adsorption ratio change distribution information of the catalytic reaction group. The distribution curve of the adsorption ratio change information is fitted using a fitting algorithm, and the distribution curve of the adsorption ratio change information is used as the sub-adsorbate change distribution information of the catalytic reaction group. The information on the variation distribution of sub-adsorbates of all catalytic reaction groups is used as the information on the variation distribution of adsorbates of the catalyst.

[0011] Optionally, the strategy for obtaining the lifetime assessment of the catalyst includes: Identify the catalyst type for each catalyst and query the database for the corresponding environmental assessment strategy, physical assessment strategy, and adsorbent assessment strategy for each catalyst type. The environmental assessment strategy, physical assessment strategy, and adsorbent assessment strategy for each catalyst type are used as the lifetime assessment strategy for each catalyst type.

[0012] Optionally, the lifetime assessment strategy based on the catalyst involves performing lifetime assessment processing on the catalytic environment information, the physical change distribution information of the catalyst, and the adsorbate change distribution information of the catalyst to obtain the target lifetime information of the catalyst, including: For each catalyst, based on the surface area variation distribution information of the catalyst, the surface area variation trend information of the catalyst is identified; based on the particle size range variation distribution information of the catalyst, the particle size range shrinkage trend information of the catalyst is identified; and based on the content ratio variation distribution information of each particle size of the catalyst, the content ratio variation trend information of each particle size of the catalyst is identified. Based on the surface area change trend information, the particle size range reduction trend information, and the content ratio change trend information of each particle size of the catalyst, the activity change information of the catalyst is analyzed through the physical evaluation strategy of the catalyst. Based on the distribution information of sub-adsorbates of each catalytic reaction group of the catalyst, the trend information of the proportion of adsorbates corresponding to each adsorption mode of the catalyst is identified. Based on the trend information of the proportion of adsorbates corresponding to each adsorption mode of the catalyst, the activity interference change information of the catalyst is identified through the adsorbate evaluation strategy of the catalyst. The catalytic environment information of the catalytic cracking unit is obtained by identifying the environmental interference coefficient of the catalyst through the environmental assessment strategy of the catalyst, and calculating the target lifetime information of the catalyst based on the catalyst activity change information, the catalyst activity interference change information, and the catalyst environmental interference coefficient through the catalyst lifetime prediction algorithm.

[0013] The second technical solution of the present invention is achieved through the following measures: an apparatus for implementing the catalyst lifetime assessment method for a catalytic cracking unit as described in the first technical solution, comprising: The acquisition module is used to acquire the structural environment information of each structure of the catalytic cracking unit, the physical structure information of different catalysts, and the catalytic cracking model corresponding to the catalytic cracking unit. Based on the catalytic cracking model and the physical structure information of each catalyst, it simulates multiple rounds of catalytic cracking reaction processes to obtain the catalytic reaction information of each catalyst. The identification module is used to identify the catalytic environment information of the catalytic cracking device based on the structural environment information of each of the structures, and for each catalyst, to identify the adsorbate information in each catalytic reaction information of the catalyst, as well as the physical information in each catalytic reaction information; The generation module is used to generate physical change distribution information of the catalyst based on the physical information of each catalytic reaction information and the reaction cycle of each catalytic reaction information, and to identify the adsorbate change distribution information of the catalyst based on the adsorbate information in each catalytic reaction information and the reaction cycle of each catalytic reaction information. An evaluation module is used to acquire the lifetime evaluation strategy of the catalyst, and based on the lifetime evaluation strategy, to perform lifetime evaluation processing on the catalytic environment information, the physical change distribution information of the catalyst, and the adsorbate change distribution information of the catalyst, respectively, to obtain the target lifetime information of the catalyst.

[0014] The following are further optimizations and / or improvements to the second technical solution of the above invention: Optionally, the acquisition module is specifically used for: Based on the physical structure information of each catalyst, the particle size and surface area of ​​each catalyst are identified, and the catalysts are sorted in ascending order of particle size and surface area to obtain the catalytic reaction sequence of each catalyst. According to the catalytic reaction sequence, the catalytic cracking model is used to simulate multiple rounds of catalytic cracking reaction processes for each catalyst, thereby obtaining the catalytic reaction information of each catalyst after each round of catalytic cracking reaction process.

[0015] Optionally, the identification module is specifically used for: For each structure's environmental information, the flow rate information, temperature information, and pressure information within the structure are identified, and the flow rate information, temperature information, and pressure information are used as the sub-catalytic environmental information of the structure. The catalytic environment information of all structures is used as the catalytic environment information of the catalytic cracking unit.

[0016] Optionally, the identification module is specifically used for: For each catalytic reaction information, the area occupied by the adsorbate on the surface of the catalyst and the adsorption mode of the adsorbate are identified in the catalytic reaction information, and the adsorption ratio of the adsorbate is calculated based on the area occupied by the adsorbate and the surface area of ​​the catalyst. The adsorption method and the adsorption ratio of the adsorbent are used as adsorbent information; Identify the current catalyst particle size and the current catalyst surface area in the catalytic reaction information, and use the current catalyst particle size and the current catalyst surface area as physical information in the catalytic reaction information.

[0017] Optionally, the generation module is specifically used for: According to the reaction cycle of each catalytic reaction information from front to back, the current catalyst surface area of ​​each catalytic reaction information is sorted by distribution to obtain the surface integral distribution information of the catalyst. Based on the surface area distribution information, the surface integral distribution fitting curve of the catalyst and the surface integral distribution range of the catalyst are calculated by a fitting algorithm. The surface area distribution curve of the catalyst and the surface area distribution range of the catalyst are used as the surface area variation distribution information of the catalyst. Based on the current catalyst particle size in each catalytic reaction information, the catalyst particle size range corresponding to each catalyst reaction information and the content ratio of each particle size in each catalyst particle size range are identified. Based on the catalyst particle size range corresponding to each catalyst reaction information and the content ratio of each particle size in each catalyst particle size range, the particle size range variation distribution information and the content ratio variation distribution information of each particle size of the catalyst are generated in the order of the reaction cycle of the catalytic reaction information from front to back. The surface area variation distribution information of the catalyst, the particle size range variation distribution information of the catalyst, and the content ratio variation distribution information of each particle size of the catalyst are used as the physical variation distribution information of the catalyst.

[0018] Optionally, the generation module is specifically used for: According to the adsorption mode of the adsorbents in each of the catalytic reaction information, the adsorption ratio of the adsorbents in each of the catalytic reaction information is classified to obtain multiple catalytic reaction groups. For each catalytic reaction group, the adsorption ratio of each adsorbent in the catalytic reaction group is arranged in the order of the reaction cycles of each catalytic reaction information in the catalytic reaction group from front to back, so as to obtain the adsorption ratio change distribution information of the catalytic reaction group. The distribution curve of the adsorption ratio change information is fitted using a fitting algorithm, and the distribution curve of the adsorption ratio change information is used as the sub-adsorbate change distribution information of the catalytic reaction group. The information on the variation distribution of sub-adsorbates of all catalytic reaction groups is used as the information on the variation distribution of adsorbates of the catalyst.

[0019] The evaluation module, optionally mentioned above, is specifically used for: Identify the catalyst type for each catalyst and query the database for the corresponding environmental assessment strategy, physical assessment strategy, and adsorbent assessment strategy for each catalyst type. The environmental assessment strategy, physical assessment strategy, and adsorbent assessment strategy for each catalyst type are used as the lifetime assessment strategy for each catalyst type.

[0020] Furthermore, as described above, the evaluation module is specifically used for: For each catalyst, based on the surface area variation distribution information of the catalyst, the surface area variation trend information of the catalyst is identified; based on the particle size range variation distribution information of the catalyst, the particle size range shrinkage trend information of the catalyst is identified; and based on the content ratio variation distribution information of each particle size of the catalyst, the content ratio variation trend information of each particle size of the catalyst is identified. Based on the surface area change trend information, the particle size range reduction trend information, and the content ratio change trend information of each particle size of the catalyst, the activity change information of the catalyst is analyzed through the physical evaluation strategy of the catalyst. Based on the distribution information of sub-adsorbates of each catalytic reaction group of the catalyst, the trend information of the proportion of adsorbates corresponding to each adsorption mode of the catalyst is identified. Based on the trend information of the proportion of adsorbates corresponding to each adsorption mode of the catalyst, the activity interference change information of the catalyst is identified through the adsorbate evaluation strategy of the catalyst. The catalytic environment information of the catalytic cracking unit is obtained by identifying the environmental interference coefficient of the catalyst through the environmental assessment strategy of the catalyst, and calculating the target lifetime information of the catalyst based on the catalyst activity change information, the catalyst activity interference change information, and the catalyst environmental interference coefficient through the catalyst lifetime prediction algorithm.

[0021] The third technical solution of the present invention is achieved by the following measures: a computer device, the computer device including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the method described in any one of the technical solutions.

[0022] The fourth technical solution of the present invention is achieved by the following measures: a computer-readable storage medium storing a computer program thereon, wherein the computer program, when executed by a processor, implements the steps of the method described in any one of the technical solutions.

[0023] The fifth technical solution of the present invention is achieved by the following measures: a computer program product, the computer program product comprising a computer program, which, when executed by a processor, implements the steps of the method described in any one of the technical solutions.

[0024] The catalyst lifetime assessment method, apparatus, computer equipment, storage medium, and computer program product for the catalytic cracking unit acquires structural environment information of each structure of the catalytic cracking unit, physical structure information of different catalysts, and the corresponding catalytic cracking model. Based on the catalytic cracking model and the physical structure information of each catalyst, multiple rounds of catalytic cracking reaction processes are simulated to obtain catalytic reaction information for each catalyst. Based on the structural environment information of each structure, the catalytic environment information of the catalytic cracking unit is identified, and for each catalyst, the adsorbate information and other relevant information in the catalytic reaction information are identified. The physical information in each of the catalytic reaction information; based on the physical information of each of the catalytic reaction information and the reaction cycle of each of the catalytic reaction information, the physical change distribution information of the catalyst is generated, and based on the adsorbate information in each of the catalytic reaction information and the reaction cycle of each of the catalytic reaction information, the adsorbate change distribution information of the catalyst is identified; the lifetime assessment strategy of the catalyst is obtained, and based on the lifetime assessment strategy of the catalyst, the lifetime assessment processing is performed on the catalytic environment information, the physical change distribution information of the catalyst, and the adsorbate change distribution information of the catalyst to obtain the target lifetime information of the catalyst.

[0025] This invention simulates multiple rounds of catalytic cracking reactions using mathematical models with different catalysts, thereby identifying the catalytic reaction information of different catalysts. This avoids the problem of data limitations in the sample collection process affecting the accuracy of catalyst lifetime identification. Then, by identifying the catalyst's adsorbate and physical information, it identifies the distribution of physical changes and adsorbate changes in the catalyst during multiple catalytic cracking processes. Finally, this scheme analyzes the target lifetime information of the catalyst from three perspectives: catalytic environment information, physical change distribution information, and adsorbate change distribution information of the catalytic cracking unit. Through a lifetime assessment strategy, it comprehensively analyzes the catalyst lifetime information from three perspectives: environmental factors, physical factors, and adsorbate factors. This not only improves the comprehensiveness of catalyst data when analyzing catalyst lifetime but also improves the comprehensiveness of the influencing factors when analyzing catalyst lifetime. At the same time, this scheme replaces manual analysis with intelligent analysis, avoiding the influence of human experience in manual analysis, thus comprehensively improving the accuracy of the catalyst lifetime assessment for the catalytic cracking unit. Attached Figure Description

[0026] Appendix Figure 1 This is a schematic flowchart of the catalyst lifetime assessment method for the catalytic cracking unit in Example 1; Appendix Figure 2 This is a structural block diagram of the catalyst lifetime assessment device for the catalytic cracking unit in Example 2; Appendix Figure 3 This is a diagram of the internal structure of the computer device in Example 3. Detailed Implementation

[0027] The present invention is not limited to the following embodiments, and specific implementation methods can be determined according to the technical solutions and actual conditions of the present invention.

[0028] The catalyst lifetime assessment method for catalytic cracking units provided in this application embodiment can be applied to the application environment of catalyst lifetime assessment for catalytic cracking units. This method can be applied to a terminal, a server, or a system including both a terminal and a server, and is implemented through interaction between the terminal and the server. The terminal can be, but is not limited to, various personal computers, laptops, smartphones, tablets, etc. The terminal simulates multiple rounds of catalytic cracking reactions with different catalysts using mathematical models, thereby identifying the catalytic reaction information of different catalysts. This avoids the problem of data limitations affecting the accuracy of catalyst lifetime identification during sample collection. Then, by identifying the adsorbate information and physical information of the catalyst, the physical change distribution information and adsorbate change distribution information of the catalyst during multiple catalytic cracking processes are identified. Finally, this scheme analyzes the target lifetime information of the catalyst from three perspectives: catalytic environment information, physical change distribution information, and adsorbate change distribution information of the catalytic cracking unit. Through a lifetime assessment strategy, it comprehensively analyzes the lifetime information of the catalyst from three perspectives: environmental factors, physical factors, and adsorbate factors. This not only improves the comprehensiveness of catalyst data when analyzing catalyst lifetime, but also improves the comprehensiveness of the influencing factors when analyzing catalyst lifetime. At the same time, this scheme replaces the manual analysis process with intelligent analysis, avoiding the problem of human experience affecting manual analysis, thereby comprehensively improving the accuracy of the catalyst lifetime assessment of the catalytic cracking unit.

[0029] The present invention will be further described below with reference to embodiments: Example 1: As Figure 1 As shown, a method for evaluating the catalyst lifetime of a catalytic cracking unit is provided. Taking the application of this method to the end-user as an example, the method includes the following steps: Step S101: Obtain the structural environment information (catalyst particles and gas flow rate, temperature, pressure) of each structure of the catalytic cracking unit, the physical structure information of different catalysts (catalyst morphology, surface area, specific surface area, average pore size, particle size, etc.), and the corresponding catalytic cracking model (geometric model, catalyst activity mathematical model, catalyst breakage mathematical model) of the catalytic cracking unit. Based on the catalytic cracking model and the physical structure information of each catalyst, simulate multiple rounds of catalytic cracking reaction process to obtain the catalytic reaction information of each catalyst.

[0030] In this embodiment, the terminal responds to the upload operation by the operator and acquires the structural environment information of each structure of the catalytic cracking unit. This structural environment information includes the internal flow velocity, internal temperature, and internal pressure of the structure. Each structure represents the reaction structure corresponding to each reaction stage of the catalytic cracking reaction. Then, the terminal receives the three-dimensional scanning data of each catalyst from a three-dimensional scanning device and uses this data as the physical structure information of each catalyst. Next, the terminal acquires the three-dimensional structural data of each structure of the catalytic cracking unit, as well as the corresponding catalytic cracking reaction process. Based on the three-dimensional structural data of each structure, it uses a finite element simulation model to construct a three-dimensional structural model of the catalytic cracking unit. Based on the catalytic cracking reaction process corresponding to each structure, the terminal identifies the catalyst breakage mathematical model corresponding to each structure and adds this model to the three-dimensional structural model to obtain the catalytic cracking model corresponding to the catalytic cracking unit. The catalyst breakage mechanisms in the catalytic cracking reaction process corresponding to each structure include those based on mechanical stress (friction, collision, etc.), dynamic stress (dynamic fluctuations, jet acceleration, etc.), thermal stress (high temperature, low temperature steam, etc.), and chemical stress (chemical reactions, etc.). The mathematical models for catalyst breakage are corresponding to different breakage mechanisms. For example, the mathematical model for catalyst breakage in catalytic cracking reactions based on mechanical stress is a mathematical model of particle wear, while the mathematical model for catalyst breakage in catalytic cracking reactions based on dynamic stress is a numerical simulation of gas-solid two-phase flow. Then, based on the catalytic cracking model and the physical structure information of each catalyst, multiple rounds of catalytic cracking reaction processes are simulated to obtain the catalytic reaction information for each catalyst. The catalysts include catalysts of different types and different particle sizes, including selective hydrogenation catalysts, non-selective hydrogenation catalysts, hydrogenolysis catalysts, high-temperature dehydrogenation catalysts, and low-temperature dehydrogenation catalysts. Catalysts of different particle sizes include, but are not limited to, catalysts with particle sizes of 100 μm, 80 μm, 60 μm, 40 μm, 20 μm, 10 μm, and 5 μm.

[0031] Step S102: Based on the structural environment information of each structure, identify the catalytic environment information of the catalytic cracking unit, and for each catalyst, identify the adsorbate information in each catalytic reaction information of the catalyst, as well as the physical information in each catalytic reaction information.

[0032] In this embodiment, the terminal identifies the catalytic environment information of the catalytic cracking unit based on the structural environment information of each structure, and for each catalyst, identifies the adsorbate information and physical information in each catalytic reaction information. The adsorbate information refers to the information about the adsorbates adsorbed on the catalyst in the catalytic reaction information. The physical information refers to the information about the physical properties of the catalyst. Adsorbates include various adsorption methods, such as physical adsorption and chemical adsorption. Physical adsorption has a smaller impact on catalyst activity, while chemical adsorption has a larger impact. Physical information includes surface area, particle size, and shape. The specific identification process will be described in detail later.

[0033] Step S103: Based on the physical information of each catalytic reaction and the reaction cycle of each catalytic reaction, generate physical change distribution information of the catalyst, and based on the adsorbate information in each catalytic reaction and the reaction cycle of each catalytic reaction, identify the adsorbate change distribution information of the catalyst.

[0034] In this embodiment, the terminal generates physical change distribution information of the catalyst based on the physical information of each catalytic reaction and the reaction cycle of each catalytic reaction. It then identifies the adsorbate change distribution information of the catalyst based on the adsorbate information in each catalytic reaction and the reaction cycle of each catalytic reaction. The physical change distribution information includes surface area change distribution information, particle size range change distribution information, and the percentage change distribution information for each particle size. The adsorbate change distribution information includes the percentage change distribution information for different adsorption methods. The specific identification process will be described in detail later.

[0035] Step S104: Obtain the catalyst lifetime assessment strategy, and based on the catalyst lifetime assessment strategy, perform lifetime assessment processing on the catalytic environment information, the physical change distribution information of the catalyst, and the adsorbate change distribution information of the catalyst to obtain the target lifetime information of the catalyst.

[0036] In this embodiment, the terminal acquires the catalyst lifetime assessment strategy and, based on the strategy, performs lifetime assessment processing on the catalytic environment information, the physical change distribution information of the catalyst, and the adsorbate change distribution information to obtain the target lifetime information of the catalyst. The lifetime assessment strategy includes assessment strategies for the environment, physical properties, and adsorbate properties. The calculation of the target lifetime information also includes a catalyst lifetime prediction algorithm, the calculation formula of which is: In the above formula, μ This represents the environmental interference factor (gas flow rate, pressure, temperature, etc.). Li (x) G represents the information on the change in the sub-activity of the catalyst during the i-th time period. i (x) represents the information on the change in interference of adsorbates via physical adsorption on the catalyst's sub-activity during the i-th time period. This represents the information on the interference of adsorbates on the catalyst's sub-activity by physical adsorption methods within the i-th time period, where i is the sequence number of the unit time period arranged in chronological order. The unit time period is the time period corresponding to a manually preset time interval, which can be, but is not limited to, 1s, 2s, 5s, 10s, etc.

[0037] Based on the above scheme, a mathematical model is used to simulate multiple rounds of catalytic cracking reactions with different catalysts, thereby identifying the catalytic reaction information of different catalysts. This avoids the problem of data limitations in the sample collection process affecting the accuracy of catalyst lifetime identification. Then, by identifying the catalyst's adsorbate information and physical information, the distribution information of physical changes and adsorbate changes in the catalyst during multiple catalytic cracking processes is identified. Finally, this scheme analyzes the target lifetime information of the catalyst from three perspectives: catalytic environment information (gas flow rate, pressure, temperature, etc.), physical change distribution information, and adsorbate change distribution information of the catalytic cracking unit. Through a lifetime assessment strategy, it comprehensively analyzes the catalyst lifetime information from three perspectives: environmental factors, physical factors, and adsorbate factors. This not only improves the comprehensiveness of catalyst data when analyzing catalyst lifetime but also improves the comprehensiveness of influencing factors when analyzing catalyst lifetime. At the same time, this scheme replaces manual analysis with intelligent analysis, avoiding the influence of human experience in manual analysis, thereby comprehensively improving the accuracy of the catalyst lifetime assessment for the catalytic cracking unit.

[0038] Optionally, based on the catalytic cracking model and the physical structure information of each catalyst, multiple rounds of catalytic cracking reaction processes are simulated to obtain the catalytic reaction information of each catalyst, including: identifying the particle size and surface area of ​​each catalyst based on the physical structure information of each catalyst, and sorting the catalysts in ascending order of particle size and surface area to obtain the catalytic reaction sequence of each catalyst; according to the catalytic reaction sequence, multiple rounds of catalytic cracking reaction processes are simulated for each catalyst using the catalytic cracking model to obtain the catalytic reaction information of each catalyst after each round of catalytic cracking reaction processes.

[0039] In this embodiment, the terminal identifies the particle size and surface area of ​​each catalyst based on its physical structure information, and sorts the catalysts in ascending order of particle size and surface area to obtain the catalytic reaction sequence of each catalyst. Then, according to the catalytic reaction sequence, the terminal simulates multiple rounds of catalytic cracking reaction process for each catalyst using a catalytic cracking model to obtain the catalytic reaction information of each catalyst after each round of catalytic cracking reaction process.

[0040] Based on the above scheme, by carrying out multiple rounds of catalytic cracking reactions in order of increasing particle size and surface area of ​​different catalyst types, the temporal sequence of the obtained catalytic reaction information is improved.

[0041] Optionally, based on the structural environment information of each structure, the catalytic environment information of the catalytic cracking unit is identified, including: for the environmental information of each structure, identifying the flow rate information, temperature information, and pressure information in the structure, and using the flow rate information, temperature information, and pressure information as the sub-catalytic environment information of the structure; and using the sub-catalytic environment information of all structures as the catalytic environment information of the catalytic cracking unit.

[0042] In this embodiment, the terminal identifies the flow rate information, temperature information, and pressure information in each structure based on the environmental information of each structure, and uses the flow rate information, temperature information, and pressure information as the sub-catalytic environment information of the structure. Then, the terminal uses the sub-catalytic environment information of all structures as the catalytic environment information of the catalytic cracking unit.

[0043] Based on the above scheme, by identifying the flow rate information, temperature information, and pressure information in each structure, the catalytic environment information of the catalytic cracking unit is obtained, thereby improving the comprehensiveness of the obtained catalytic environment information of the catalytic cracking unit.

[0044] Optionally, the adsorbate information and physical information in each catalytic reaction information of the catalyst are identified, including: for each catalytic reaction information, identifying the area occupied by the adsorbate on the catalyst surface and the adsorption mode of the adsorbate, and calculating the adsorption ratio of the adsorbate based on the area occupied by the adsorbate and the surface area of ​​the catalyst; using the adsorption mode and the adsorption ratio of the adsorbate as adsorbate information; identifying the current catalyst particle size and the current catalyst surface area in the catalytic reaction information, and using the current catalyst particle size and the current catalyst surface area (e.g., catalyst surface area, catalyst specific surface area, catalyst micropore specific surface area, catalyst mesopore specific surface area) as physical information in the catalytic reaction information.

[0045] In this embodiment, for each catalytic reaction information, the terminal identifies the area occupied by the adsorbate on the catalyst surface and the adsorption mode of the adsorbate, and calculates the adsorption ratio of the adsorbate based on the area occupied by the adsorbate and the surface area of ​​the catalyst.

[0046] The terminal uses the adsorption method and adsorption percentage of the adsorbate as adsorbate information. Then, the terminal identifies the current catalyst particle size and current catalyst surface area in the catalytic reaction information, and uses these as physical information within the catalytic reaction information. The current catalyst particle size includes the particle size range of the catalyst after completing this round of catalytic cracking reaction, as well as the percentage of each particle size within that range.

[0047] Based on the above scheme, by subdividing the granularity of catalytic reaction information, the information on each adsorbate and physical information of the catalyst can be obtained, thereby improving the comprehensiveness of the analysis of the adsorbate and physical information of the catalyst.

[0048] Optionally, based on the physical information of each catalytic reaction and the reaction cycle of each catalytic reaction, physical change distribution information of the catalyst (catalyst morphology, catalyst surface area, catalyst specific surface area, average pore size, catalyst mesoporous specific surface area, catalyst microporous specific surface area, particle size, etc.) is generated. This includes: sorting the current catalyst surface area of ​​each catalytic reaction according to the reaction cycle from front to back to obtain the surface integral distribution information of the catalyst; and based on the surface area distribution information, calculating the surface integral distribution fitting curve and the surface integral distribution range of the catalyst using a fitting algorithm; and using the surface integral distribution fitting curve and the surface integral distribution range of the catalyst as... Catalyst surface area variation distribution information; based on the current catalyst particle size in each catalytic reaction information, identify the catalyst particle size range corresponding to each catalyst reaction information, and the content ratio of each particle size in each catalyst particle size range. Then, according to the reaction cycle of each catalyst reaction information from front to back, generate catalyst particle size range variation distribution information and catalyst content ratio variation distribution information; use the catalyst surface area variation distribution information, catalyst particle size range variation distribution information, and catalyst content ratio variation distribution information as the catalyst physical change distribution information.

[0049] In this embodiment, the terminal sorts the current catalyst surface area distribution of each catalytic reaction according to the reaction cycle from front to back, obtaining the catalyst surface area distribution information. Based on the surface area distribution information, a fitting algorithm is used to calculate the catalyst surface area distribution fitting curve and the catalyst surface area distribution range. This fitting algorithm is a distribution curve fitting algorithm based on the least squares method.

[0050] The terminal uses the surface area distribution fitting curve and the surface area distribution range of the catalyst as the surface area variation distribution information of the catalyst. Then, based on the current catalyst particle size in each catalytic reaction information, the terminal identifies the catalyst particle size range corresponding to each catalyst reaction information and the content ratio of each particle size within each catalyst particle size range. Based on the catalyst particle size range and the content ratio of each particle size within each catalyst particle size range corresponding to each catalyst reaction information, and in the order of the reaction cycles from front to back of the catalytic reaction information, the terminal generates the particle size range variation distribution information and the content ratio variation distribution information of each particle size. The particle size range variation distribution information and the content ratio variation distribution information of each particle size are both distribution information corresponding to the two-dimensional coordinate system of the variation distribution fitting curve. The horizontal axis of all variation distribution information is the time axis, and the vertical axis is the coordinate axis of the variation distribution content corresponding to each variation distribution information. For example, the vertical axis of the surface area variation distribution information is the surface area coordinate axis, the vertical axis of the particle size range variation distribution information is the particle size range coordinate axis, and the vertical axis of the content ratio variation distribution information of each particle size is the content ratio coordinate axis of each particle size.

[0051] The terminal uses the information on the surface area variation distribution of the catalyst, the particle size range variation distribution of the catalyst, and the content ratio of each particle size of the catalyst as the physical variation distribution information of the catalyst.

[0052] Based on the above scheme, the accuracy of identifying the distribution of changes in the physical information of the catalyst is improved by recognizing the distribution of surface area changes, particle size range, and particle size content.

[0053] Optionally, based on the adsorbate information and reaction rounds of each catalytic reaction, the adsorbate change distribution information of the catalyst is identified, including: classifying the adsorbate proportions of each catalytic reaction according to their adsorption methods to obtain multiple catalytic reaction groups; arranging the adsorbate proportions of each catalytic reaction group in the order of reaction rounds from front to back according to each catalytic reaction in the group to obtain the adsorbate proportion change distribution information of the catalytic reaction group; fitting the distribution curve of the adsorbate proportion change distribution information using a fitting algorithm, and using the distribution curve of the adsorbate proportion change distribution information as the sub-adsorbate change distribution information of the catalytic reaction group; and using the sub-adsorbate change distribution information of all catalytic reaction groups as the adsorbate change distribution information of the catalyst.

[0054] In this embodiment, the terminal classifies the adsorption proportions of adsorbates in each catalytic reaction information according to their adsorption methods, resulting in multiple catalytic reaction groups. For each catalytic reaction group, the terminal arranges the adsorption proportions of each adsorbate in the group according to the reaction cycle from front to back, obtaining the adsorption proportion variation distribution information for the catalytic reaction group. Then, the terminal uses a fitting algorithm to fit the distribution curve of the adsorption proportion variation distribution information and uses this curve as the sub-adsorbate variation distribution information for the catalytic reaction group. Finally, the terminal uses the sub-adsorbate variation distribution information of all catalytic reaction groups as the adsorbate variation distribution information for the catalyst.

[0055] Based on the above scheme, the accuracy of identifying changes in catalyst adsorbates is improved by recognizing the distribution information of sub-adsorbates corresponding to different adsorption modes.

[0056] Optionally, obtaining the catalyst lifetime assessment strategy includes: identifying the catalyst type of each catalyst, and querying the database for the environmental assessment strategy, physical assessment strategy, and adsorbent assessment strategy corresponding to each catalyst type; and using the environmental assessment strategy, physical assessment strategy, and adsorbent assessment strategy corresponding to each catalyst type as the catalyst lifetime assessment strategy corresponding to each catalyst type.

[0057] In this embodiment, the terminal identifies the catalyst type of each catalyst and queries the database for the environmental assessment strategy, physical assessment strategy, and adsorbent assessment strategy corresponding to each catalyst type. These strategies are then used as the lifetime assessment strategies for each catalyst type. Specifically, the physical assessment strategy evaluates the activity change information corresponding to the distribution of changes in various physical information; the adsorbent assessment strategy evaluates the activity interference change information corresponding to the distribution of changes in sub-adsorbents for each adsorption method; and the environmental assessment strategy corresponds to the environmental interference coefficients of the catalytic environment information of the catalytic cracking unit.

[0058] Based on the above scheme, by acquiring evaluation strategies from different evaluation directions, the accuracy of catalyst lifetime assessment has been improved.

[0059] Optionally, based on the catalyst lifetime assessment strategy, lifetime assessment is performed on the catalytic environment information, the physical change distribution information of the catalyst, and the adsorbate change distribution information of the catalyst, respectively, to obtain the target lifetime information of the catalyst, including: for each catalyst, based on the surface area change distribution information, identifying the surface area change trend information of the catalyst; based on the particle size range change distribution information, identifying the particle size range shrinkage trend information of the catalyst; and based on the content percentage change distribution information of each particle size, identifying the content percentage change trend information of each particle size of the catalyst; based on the surface area change trend information, the particle size range shrinkage trend information, and the content percentage change trend information of each particle size of the catalyst, through the catalyst... The physical evaluation strategy analyzes the catalyst's activity changes; based on the distribution of sub-adsorbates in each catalytic reaction group, it identifies the trend of adsorbate proportions for each adsorption mode, and based on the trend of adsorbate proportions for each adsorption mode, it identifies the catalyst's activity interference changes through the catalyst's adsorbate evaluation strategy; it also analyzes the catalytic environment information of the catalytic cracking unit, identifies the catalyst's environmental interference coefficients (gas flow rate, pressure, temperature, etc.) through the catalyst's environmental evaluation strategy, and calculates the catalyst's target lifetime information through a catalyst lifetime prediction algorithm based on the catalyst's activity changes, activity interference changes, and environmental interference coefficients (gas flow rate, pressure, temperature, etc.).

[0060] In this embodiment, the terminal identifies the surface area change trend of each catalyst based on the catalyst's surface area change distribution information, the particle size range reduction trend based on the catalyst's particle size range change distribution information, and the content percentage change trend of each particle size based on the content percentage change distribution information of each particle size. Specifically, the surface area change trend information represents the trend of surface area change after each catalytic cracking reaction of the catalyst. This surface area is the sum of the surface areas of all catalyst fragments after catalyst breakage. The particle size range change information represents the trend of particle size range change of all catalyst fragments after each catalytic cracking reaction. The content percentage change distribution information of each particle size represents the trend of content percentage change of different particle sizes of all catalyst fragments after each catalytic cracking reaction. Then, the terminal identifies the first activity change information corresponding to the trend information of surface area change, the second activity change information corresponding to the trend information of fragment particle size change, and the third activity change information corresponding to the trend information of the content ratio of different particle sizes in the physical evaluation strategy of the catalyst. It also calculates the average value among the first activity change information, the second activity change information, and the third activity change information to obtain the activity change information of the catalyst.

[0061] The terminal identifies the trend information of adsorbate proportions for each adsorption mode based on the distribution information of sub-adsorbates in each catalytic reaction group of the catalyst. Based on this trend information, it then identifies the changes in catalyst activity interference through an adsorbate evaluation strategy. This strategy includes changes in activity interference corresponding to the trend information of adsorbate proportions for different adsorption modes. Specifically, when the adsorption mode is physical adsorption, the activity interference is determined by the adsorption proportion of the adsorbate on the catalyst surface; a higher adsorption proportion results in greater activity interference, and a lower adsorption proportion results in less activity interference. When the adsorption mode is chemisorption, the activity interference is determined by the adsorption proportion of the adsorbate on the catalyst surface; during the catalytic reaction, the activity interference does not decrease as the adsorption proportion on the catalyst surface decreases, but increases as the adsorption proportion increases.

[0062] The terminal identifies the environmental interference coefficients (gas flow rate, pressure, temperature, etc.) corresponding to the catalytic environment information of the catalytic cracking unit based on the environmental interference information corresponding to different catalytic environment information in the environmental assessment strategy. Then, the terminal calculates the target activity change information of the catalyst based on the catalyst activity change information, the catalyst activity interference change information, and the catalyst environmental interference coefficient using a catalyst lifetime prediction algorithm. The terminal collects the activity value corresponding to the failure activity of the catalyst of this type, summarizes the activity change information, and filters the target activity change information corresponding to the time period from time 0 to the activity value corresponding to the failure activity as the target lifetime information of the catalyst.

[0063] Based on the above scheme, by comprehensively evaluating the environmental, physical, and adsorbent properties, the target lifetime information of the catalyst is determined, thereby improving the accuracy of the determined target lifetime information of the catalyst.

[0064] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0065] Based on the same inventive concept, this application also provides a catalyst life assessment device for catalytic cracking units to implement the catalyst life assessment method for catalytic cracking units described above. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the catalyst life assessment device for catalytic cracking units provided below can be found in the limitations of the catalyst life assessment method for catalytic cracking units described above, and will not be repeated here.

[0066] Example 2: As Figure 2 As shown, a catalyst lifetime assessment device for a catalytic cracking unit is provided, comprising: an acquisition module 210, an identification module 220, a generation module 230, and an assessment module 240, wherein: The acquisition module 210 is used to acquire the structural environment information of each structure of the catalytic cracking unit, the physical structure information of different catalysts, and the catalytic cracking model corresponding to the catalytic cracking unit. Based on the catalytic cracking model and the physical structure information of each catalyst, it simulates multiple rounds of catalytic cracking reaction processes to obtain the catalytic reaction information of each catalyst. The identification module 220 is used to identify the catalytic environment information of the catalytic cracking device based on the structural environment information of each of the structures, and for each catalyst, to identify the adsorbate information in each catalytic reaction information of the catalyst and the physical information in each catalytic reaction information; The generation module 230 is used to generate physical change distribution information of the catalyst based on the physical information of each catalytic reaction information and the reaction cycle of each catalytic reaction information, and to identify the adsorbate change distribution information of the catalyst based on the adsorbate information in each catalytic reaction information and the reaction cycle of each catalytic reaction information. The evaluation module 240 is used to acquire the lifetime evaluation strategy of the catalyst, and based on the lifetime evaluation strategy, to perform lifetime evaluation processing on the catalytic environment information, the physical change distribution information of the catalyst, and the adsorbate change distribution information of the catalyst, respectively, to obtain the target lifetime information of the catalyst.

[0067] Optionally, the acquisition module 210 is specifically used for: Based on the physical structure information of each catalyst, the particle size and surface area of ​​each catalyst are identified, and the catalysts are sorted in ascending order of particle size and surface area to obtain the catalytic reaction sequence of each catalyst. According to the catalytic reaction sequence, the catalytic cracking model is used to simulate multiple rounds of catalytic cracking reaction processes for each catalyst, thereby obtaining the catalytic reaction information of each catalyst after each round of catalytic cracking reaction process.

[0068] Optionally, the identification module 220 is specifically used for: For each structure's environmental information, the flow rate information, temperature information, and pressure information within the structure are identified, and the flow rate information, temperature information, and pressure information are used as the sub-catalytic environmental information of the structure. The catalytic environment information of all structures is used as the catalytic environment information of the catalytic cracking unit.

[0069] Optionally, the identification module 220 is specifically used for: For each catalytic reaction information, the area occupied by the adsorbate on the surface of the catalyst and the adsorption mode of the adsorbate are identified in the catalytic reaction information, and the adsorption ratio of the adsorbate is calculated based on the area occupied by the adsorbate and the surface area of ​​the catalyst. The adsorption method and the adsorption ratio of the adsorbent are used as adsorbent information; Identify the current catalyst particle size and the current catalyst surface area in the catalytic reaction information, and use the current catalyst particle size and the current catalyst surface area as physical information in the catalytic reaction information.

[0070] Optionally, the generation module 230 is specifically used for: According to the reaction cycle of each catalytic reaction information from front to back, the current catalyst surface area of ​​each catalytic reaction information is sorted by distribution to obtain the surface integral distribution information of the catalyst. Based on the surface area distribution information, the surface integral distribution fitting curve of the catalyst and the surface integral distribution range of the catalyst are calculated by a fitting algorithm. The surface area distribution curve of the catalyst and the surface area distribution range of the catalyst are used as the surface area variation distribution information of the catalyst. Based on the current catalyst particle size in each catalytic reaction information, the catalyst particle size range corresponding to each catalyst reaction information and the content ratio of each particle size in each catalyst particle size range are identified. Based on the catalyst particle size range corresponding to each catalyst reaction information and the content ratio of each particle size in each catalyst particle size range, the particle size range variation distribution information and the content ratio variation distribution information of each particle size of the catalyst are generated in the order of the reaction cycle of the catalytic reaction information from front to back. The surface area variation distribution information of the catalyst, the particle size range variation distribution information of the catalyst, and the content ratio variation distribution information of each particle size of the catalyst are used as the physical variation distribution information of the catalyst.

[0071] Optionally, the generation module 230 is specifically used for: According to the adsorption mode of the adsorbents in each of the catalytic reaction information, the adsorption ratio of the adsorbents in each of the catalytic reaction information is classified to obtain multiple catalytic reaction groups. For each catalytic reaction group, the adsorption ratio of each adsorbent in the catalytic reaction group is arranged in the order of the reaction cycles of each catalytic reaction information in the catalytic reaction group from front to back, so as to obtain the adsorption ratio change distribution information of the catalytic reaction group. The distribution curve of the adsorption ratio change information is fitted using a fitting algorithm, and the distribution curve of the adsorption ratio change information is used as the sub-adsorbate change distribution information of the catalytic reaction group. The information on the variation distribution of sub-adsorbates of all catalytic reaction groups is used as the information on the variation distribution of adsorbates of the catalyst.

[0072] Optionally, the evaluation module 240 is specifically used for: Identify the catalyst type for each catalyst and query the database for the corresponding environmental assessment strategy, physical assessment strategy, and adsorbent assessment strategy for each catalyst type. The environmental assessment strategy, physical assessment strategy, and adsorbent assessment strategy for each catalyst type are used as the lifetime assessment strategy for each catalyst type.

[0073] Optionally, the evaluation module 240 is specifically used for: For each catalyst, based on the surface area variation distribution information of the catalyst, the surface area variation trend information of the catalyst is identified; based on the particle size range variation distribution information of the catalyst, the particle size range shrinkage trend information of the catalyst is identified; and based on the content ratio variation distribution information of each particle size of the catalyst, the content ratio variation trend information of each particle size of the catalyst is identified. Based on the surface area change trend information, the particle size range reduction trend information, and the content ratio change trend information of each particle size of the catalyst, the activity change information of the catalyst is analyzed through the physical evaluation strategy of the catalyst. Based on the distribution information of sub-adsorbates of each catalytic reaction group of the catalyst, the trend information of the proportion of adsorbates corresponding to each adsorption mode of the catalyst is identified. Based on the trend information of the proportion of adsorbates corresponding to each adsorption mode of the catalyst, the activity interference change information of the catalyst is identified through the adsorbate evaluation strategy of the catalyst. The catalytic environment information of the catalytic cracking unit is obtained by identifying the environmental interference coefficient of the catalyst through the environmental assessment strategy of the catalyst, and calculating the target lifetime information of the catalyst based on the catalyst activity change information, the catalyst activity interference change information, and the catalyst environmental interference coefficient through the catalyst lifetime prediction algorithm.

[0074] Each module in the catalyst life assessment device for the aforementioned catalytic cracking unit can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0075] Example 3: A computer device, which may be a terminal, and its internal structure diagram may be as follows. Figure 3 As shown, the computer device includes a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a method for evaluating the catalyst life of a catalytic cracking unit. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0076] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0077] Example 4: A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method described in any one of Examples 1.

[0078] Example 5: A computer program product, comprising a computer program that, when executed by a processor, implements the steps of the method described in any one of Examples 1.

[0079] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0080] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic resistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0081] The above technical features constitute various embodiments of the present invention, which have strong adaptability and implementation effect. Unnecessary technical features can be added or removed according to actual needs to meet the needs of different situations.

Claims

1. A method for evaluating the catalyst lifetime of a catalytic cracking unit, characterized in that, include: The structural environment information of each structure of the catalytic cracking unit, the physical structure information of different catalysts, and the catalytic cracking model corresponding to the catalytic cracking unit are obtained. Based on the catalytic cracking model and the physical structure information of each catalyst, multiple rounds of catalytic cracking reaction processes are simulated to obtain the catalytic reaction information of each catalyst. Based on the structural environment information of each of the structures, the catalytic environment information of the catalytic cracking unit is identified, and for each catalyst, the adsorbate information in each catalytic reaction information of the catalyst and the physical information in each catalytic reaction information are identified; Based on the physical information of each catalytic reaction and the reaction cycle of each catalytic reaction, physical change distribution information of the catalyst is generated, and based on the adsorbate information in each catalytic reaction and the reaction cycle of the catalytic reaction, adsorbate change distribution information of the catalyst is identified. A lifetime assessment strategy for the catalyst is obtained, and based on the lifetime assessment strategy, lifetime assessment processing is performed on the catalytic environment information, the physical change distribution information of the catalyst, and the adsorbate change distribution information of the catalyst to obtain the target lifetime information of the catalyst.

2. The method for evaluating catalyst lifetime in a catalytic cracking unit according to claim 1, characterized in that, Based on the catalytic cracking model and the physical structure information of the catalyst, multiple rounds of catalytic cracking reaction processes are simulated to obtain catalytic reaction information for each catalyst, including: Based on the physical structure information of each catalyst, the particle size and surface area of ​​each catalyst are identified, and the catalysts are sorted in ascending order of particle size and surface area to obtain the catalytic reaction sequence of each catalyst. According to the catalytic reaction sequence, the catalytic cracking model is used to simulate multiple rounds of catalytic cracking reaction processes for each catalyst, thereby obtaining the catalytic reaction information of each catalyst after each round of catalytic cracking reaction process. Or / and, the identification of the catalytic environment information of the catalytic cracking unit based on the structural environment information of each of the structures includes: For each structure's environmental information, the flow rate information, temperature information, and pressure information within the structure are identified, and the flow rate information, temperature information, and pressure information are used as the sub-catalytic environmental information of the structure. The catalytic environment information of all structures is used as the catalytic environment information of the catalytic cracking unit; Or / and, the identification of the adsorbate change distribution information of the catalyst based on the adsorbate information in each of the catalytic reaction information and the reaction cycle of each of the catalytic reaction information includes: According to the adsorption mode of the adsorbents in each of the catalytic reaction information, the adsorption ratio of the adsorbents in each of the catalytic reaction information is classified to obtain multiple catalytic reaction groups. For each catalytic reaction group, the adsorption ratio of each adsorbent in the catalytic reaction group is arranged in the order of the reaction cycles of each catalytic reaction information in the catalytic reaction group from front to back, so as to obtain the adsorption ratio change distribution information of the catalytic reaction group. The distribution curve of the adsorption ratio change information is fitted using a fitting algorithm, and the distribution curve of the adsorption ratio change information is used as the sub-adsorbate change distribution information of the catalytic reaction group. The information on the variation distribution of sub-adsorbates of all catalytic reaction groups is used as the information on the variation distribution of adsorbates of the catalyst.

3. The method for evaluating the catalyst life of a catalytic cracking unit according to claim 1 or 2, characterized in that, The identification of adsorbate information in each catalytic reaction information of the catalyst, and the physical information in each catalytic reaction information, includes: For each catalytic reaction information, the area occupied by the adsorbate on the surface of the catalyst and the adsorption mode of the adsorbate are identified, and the adsorption ratio of the adsorbate is calculated based on the area occupied by the adsorbate and the surface area of ​​the catalyst. The adsorption method and the adsorption ratio of the adsorbent are used as adsorbent information; Identify the current catalyst particle size and the current catalyst surface area in the catalytic reaction information, and use the current catalyst particle size and the current catalyst surface area as physical information in the catalytic reaction information.

4. The method for evaluating the catalyst life of a catalytic cracking unit according to claim 3, characterized in that, The generation of physical change distribution information of the catalyst based on the physical information of each catalytic reaction and the reaction cycle of each catalytic reaction includes: According to the reaction cycle of each catalytic reaction information from front to back, the current catalyst surface area of ​​each catalytic reaction information is sorted by distribution to obtain the surface integral distribution information of the catalyst. Based on the surface area distribution information, the surface integral distribution fitting curve of the catalyst and the surface integral distribution range of the catalyst are calculated by a fitting algorithm. The surface area distribution curve of the catalyst and the surface area distribution range of the catalyst are used as the surface area variation distribution information of the catalyst. Based on the current catalyst particle size in each catalytic reaction information, the catalyst particle size range corresponding to each catalyst reaction information and the content ratio of each particle size in each catalyst particle size range are identified. Based on the catalyst particle size range corresponding to each catalyst reaction information and the content ratio of each particle size in each catalyst particle size range, the particle size range variation distribution information and the content ratio variation distribution information of each particle size of the catalyst are generated in the order of the reaction cycle of the catalytic reaction information from front to back. The surface area variation distribution information of the catalyst, the particle size range variation distribution information of the catalyst, and the content ratio variation distribution information of each particle size of the catalyst are used as the physical variation distribution information of the catalyst. Or / and, the identification of the adsorbate change distribution information of the catalyst based on the adsorbate information in each of the catalytic reaction information and the reaction cycle of each of the catalytic reaction information includes: According to the adsorption mode of the adsorbents in each of the catalytic reaction information, the adsorption ratio of the adsorbents in each of the catalytic reaction information is classified to obtain multiple catalytic reaction groups. For each catalytic reaction group, the adsorption ratio of each adsorbent in the catalytic reaction group is arranged in the order of the reaction cycles of each catalytic reaction information in the catalytic reaction group from front to back, so as to obtain the adsorption ratio change distribution information of the catalytic reaction group. The distribution curve of the adsorption ratio change information is fitted using a fitting algorithm, and the distribution curve of the adsorption ratio change information is used as the sub-adsorbate change distribution information of the catalytic reaction group. The information on the variation distribution of sub-adsorbates of all catalytic reaction groups is used as the information on the variation distribution of adsorbates of the catalyst.

5. The method for evaluating catalyst life in a catalytic cracking unit according to any one of claims 1 to 4, characterized in that, The strategy for obtaining the lifetime assessment of the catalyst includes: Identify the catalyst type for each catalyst and query the database for the corresponding environmental assessment strategy, physical assessment strategy, and adsorbent assessment strategy for each catalyst type. The environmental assessment strategy, physical assessment strategy, and adsorbent assessment strategy for each catalyst type are used as the lifetime assessment strategy for each catalyst type. Or / and, the lifetime assessment strategy based on the catalyst performs lifetime assessment processing on the catalytic environment information, the physical change distribution information of the catalyst, and the adsorbate change distribution information of the catalyst, respectively, to obtain the target lifetime information of the catalyst, including: For each catalyst, based on the surface area variation distribution information of the catalyst, the surface area variation trend information of the catalyst is identified; based on the particle size range variation distribution information of the catalyst, the particle size range shrinkage trend information of the catalyst is identified; and based on the content ratio variation distribution information of each particle size of the catalyst, the content ratio variation trend information of each particle size of the catalyst is identified. Based on the surface area change trend information, the particle size range reduction trend information, and the content ratio change trend information of each particle size of the catalyst, the activity change information of the catalyst is analyzed through the physical evaluation strategy of the catalyst. Based on the distribution information of sub-adsorbates of each catalytic reaction group of the catalyst, the trend information of the proportion of adsorbates corresponding to each adsorption mode of the catalyst is identified. Based on the trend information of the proportion of adsorbates corresponding to each adsorption mode of the catalyst, the activity interference change information of the catalyst is identified through the adsorbate evaluation strategy of the catalyst. The catalytic environment information of the catalytic cracking unit is obtained by identifying the environmental interference coefficient of the catalyst through the environmental assessment strategy of the catalyst, and calculating the target lifetime information of the catalyst based on the catalyst activity change information, the catalyst activity interference change information, and the catalyst environmental interference coefficient through the catalyst lifetime prediction algorithm.

6. A catalyst lifetime assessment device for a catalytic cracking unit, characterized in that, include: The acquisition module is used to acquire the structural environment information of each structure of the catalytic cracking unit, the physical structure information of different catalysts, and the catalytic cracking model corresponding to the catalytic cracking unit. Based on the catalytic cracking model and the physical structure information of each catalyst, it simulates multiple rounds of catalytic cracking reaction processes to obtain the catalytic reaction information of each catalyst. The identification module is used to identify the catalytic environment information of the catalytic cracking device based on the structural environment information of each of the structures, and for each catalyst, to identify the adsorbate information in each catalytic reaction information of the catalyst, as well as the physical information in each catalytic reaction information; The generation module is used to generate physical change distribution information of the catalyst based on the physical information of each catalytic reaction information and the reaction cycle of each catalytic reaction information, and to identify the adsorbate change distribution information of the catalyst based on the adsorbate information in each catalytic reaction information and the reaction cycle of each catalytic reaction information. An evaluation module is used to acquire the lifetime evaluation strategy of the catalyst, and based on the lifetime evaluation strategy, to perform lifetime evaluation processing on the catalytic environment information, the physical change distribution information of the catalyst, and the adsorbate change distribution information of the catalyst, respectively, to obtain the target lifetime information of the catalyst.

7. The catalyst lifetime assessment device for catalytic cracking units according to claim 6, characterized in that, The acquisition module is specifically used for: Based on the physical structure information of each catalyst, the particle size and surface area of ​​each catalyst are identified, and the catalysts are sorted in ascending order of particle size and surface area to obtain the catalytic reaction sequence of each catalyst. According to the catalytic reaction sequence, the catalytic cracking model is used to simulate multiple rounds of catalytic cracking reaction processes for each catalyst, thereby obtaining the catalytic reaction information of each catalyst after each round of catalytic cracking reaction process. Or / and, the identification module is specifically used for: For each structure's environmental information, the flow rate information, temperature information, and pressure information within the structure are identified, and the flow rate information, temperature information, and pressure information are used as the sub-catalytic environmental information of the structure. The catalytic environment information of all structures is used as the catalytic environment information of the catalytic cracking unit.

8. The catalyst lifetime assessment device for a catalytic cracking unit according to claim 6 or 7, characterized in that, The identification module is also specifically used for: For each catalytic reaction information, the area occupied by the adsorbate on the surface of the catalyst and the adsorption mode of the adsorbate are identified, and the adsorption ratio of the adsorbate is calculated based on the area occupied by the adsorbate and the surface area of ​​the catalyst. The adsorption method and the adsorption ratio of the adsorbent are used as adsorbent information; Identify the current catalyst particle size and the current catalyst surface area in the catalytic reaction information, and use the current catalyst particle size and the current catalyst surface area as physical information in the catalytic reaction information.

9. The catalyst life assessment device for a catalytic cracking unit according to claim 8, characterized in that, The generation module is specifically used for: According to the reaction cycle of each catalytic reaction information from front to back, the current catalyst surface area of ​​each catalytic reaction information is sorted by distribution to obtain the surface integral distribution information of the catalyst. Based on the surface area distribution information, the surface integral distribution fitting curve of the catalyst and the surface integral distribution range of the catalyst are calculated by a fitting algorithm. The surface area distribution curve of the catalyst and the surface area distribution range of the catalyst are used as the surface area variation distribution information of the catalyst. Based on the current catalyst particle size in each catalytic reaction information, the catalyst particle size range corresponding to each catalyst reaction information and the content ratio of each particle size in each catalyst particle size range are identified. Based on the catalyst particle size range corresponding to each catalyst reaction information and the content ratio of each particle size in each catalyst particle size range, the particle size range variation distribution information and the content ratio variation distribution information of each particle size of the catalyst are generated in the order of the reaction cycle of the catalytic reaction information from front to back. The surface area variation distribution information of the catalyst, the particle size range variation distribution information of the catalyst, and the content ratio variation distribution information of each particle size of the catalyst are used as the physical variation distribution information of the catalyst. Or / and, the generation module is specifically used for: According to the adsorption mode of the adsorbents in each of the catalytic reaction information, the adsorption ratio of the adsorbents in each of the catalytic reaction information is classified to obtain multiple catalytic reaction groups. For each catalytic reaction group, the adsorption ratio of each adsorbent in the catalytic reaction group is arranged in the order of the reaction cycles of each catalytic reaction information in the catalytic reaction group from front to back, so as to obtain the adsorption ratio change distribution information of the catalytic reaction group. The distribution curve of the adsorption ratio change information is fitted using a fitting algorithm, and the distribution curve of the adsorption ratio change information is used as the sub-adsorbate change distribution information of the catalytic reaction group. The information on the variation distribution of sub-adsorbates of all catalytic reaction groups is used as the information on the variation distribution of adsorbates of the catalyst.

10. The catalyst lifetime assessment device for a catalytic cracking unit according to claim 9, characterized in that, The evaluation module is specifically used for: Identify the catalyst type for each catalyst and query the database for the corresponding environmental assessment strategy, physical assessment strategy, and adsorbent assessment strategy for each catalyst type. The environmental assessment strategy, physical assessment strategy, and adsorbent assessment strategy for each catalyst type are used as the lifetime assessment strategy for each catalyst type. Or / and, the evaluation module is specifically used for: For each catalyst, based on the surface area variation distribution information of the catalyst, the surface area variation trend information of the catalyst is identified; based on the particle size range variation distribution information of the catalyst, the particle size range shrinkage trend information of the catalyst is identified; and based on the content ratio variation distribution information of each particle size of the catalyst, the content ratio variation trend information of each particle size of the catalyst is identified. Based on the surface area change trend information, the particle size range reduction trend information, and the content ratio change trend information of each particle size of the catalyst, the activity change information of the catalyst is analyzed through the physical evaluation strategy of the catalyst. Based on the distribution information of sub-adsorbates of each catalytic reaction group of the catalyst, the trend information of the proportion of adsorbates corresponding to each adsorption mode of the catalyst is identified. Based on the trend information of the proportion of adsorbates corresponding to each adsorption mode of the catalyst, the activity interference change information of the catalyst is identified through the adsorbate evaluation strategy of the catalyst. The catalytic environment information of the catalytic cracking unit is obtained by identifying the environmental interference coefficient of the catalyst through the environmental assessment strategy of the catalyst, and calculating the target lifetime information of the catalyst based on the catalyst activity change information, the catalyst activity interference change information, and the catalyst environmental interference coefficient through the catalyst lifetime prediction algorithm.

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