Method and system for improving hydrogen production efficiency based on formaldehyde conversion process optimization

Abstract

The invention provides a hydrogen production efficiency improvement method and system based on formaldehyde conversion process optimization, and the method comprises the steps: obtaining equipment structure data and hydrogen production process information of hydrogen production equipment, and information of each catalyst and information of each reaction condition matched with a formaldehyde conversion process, and constructing a hydrogen production simulation model of the hydrogen production equipment; generating each piece of methanol conversion condition information of the hydrogen production equipment so as to simulate the hydrogen production process of the hydrogen production equipment and obtain a hydrogen production result corresponding to each piece of methanol conversion condition information; on the basis of hydrogen production results corresponding to the methanol conversion condition information, target catalyst information of the formaldehyde conversion process and target reaction condition information of the formaldehyde conversion process are generated through a hydrogen production strategy optimization network, and the target catalyst information, the target reaction condition information and the target catalyst information of the formaldehyde conversion process are stored in a database; the mode is used as a target hydrogen production mode of the hydrogen production equipment. By adopting the scheme, the hydrogen production efficiency of hydrogen production of industrial byproducts can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of catalysts and hydrogen production equipment, and in particular to a method and system for improving hydrogen production efficiency based on formaldehyde conversion process optimization. Background Art

[0002] With the continuous development of hydrogen production equipment, the hydrogen production methods of hydrogen production equipment are also increasing. Among them, the hydrogen production methods of hydrogen production equipment mainly include the following: hydrogen production from water electrolysis, hydrogen production from fossil fuels, hydrogen production from industrial by-products, hydrogen production from biomass and other new hydrogen production methods. Among them, hydrogen production from industrial by-products can effectively ensure the decomposition and treatment of industrial by-products, and can also reuse industrial by-products. It is one of the mainstream hydrogen production methods for environmentally friendly hydrogen production and energy recycling. Among them, the main hydrogen production method for industrial by-product hydrogen production is based on the formaldehyde conversion process. Therefore, how to improve the conversion rate of the formaldehyde conversion process is one of the main research directions for improving industrial by-product hydrogen production.

[0003] The traditional formaldehyde conversion process optimizes the conversion rate by replacing different catalysts and changing different catalytic temperatures. However, the above method is basically to manually adjust the catalyst and reaction conditions according to experience. This method is affected by manual experience and the duration of the catalytic reaction, resulting in a low optimization rate and degree of optimization for the formaldehyde conversion rate, which leads to poor improvement in the efficiency of hydrogen production from industrial by-products. Summary of the invention

[0004] The main purpose of the present invention is to provide a method and system for improving hydrogen production efficiency based on formaldehyde conversion process optimization, aiming to solve the problem that the prior art uses artificial catalyst replacement and temperature change based on experience, which is affected by artificial experience and the duration of the catalytic reaction, resulting in low optimization rate and degree of optimization of the formaldehyde conversion rate, thereby resulting in poor effect on improving the hydrogen production efficiency of industrial by-product hydrogen production.

[0005] To achieve the above object, the present invention provides a method for improving hydrogen production efficiency based on formaldehyde conversion process optimization, the method comprising:

[0006] Acquire equipment structure data of a hydrogen production equipment, hydrogen production process information of the hydrogen production equipment, information of various catalysts adapted to a formaldehyde conversion process, and information of various reaction conditions corresponding to the formaldehyde conversion process, and construct a hydrogen production simulation model of the hydrogen production equipment based on the equipment structure data and the hydrogen production process information;

[0007] Based on the catalyst information and the reaction condition information, each methanol conversion condition information of the hydrogen production equipment is generated, and based on the methanol conversion condition information, the hydrogen production process of the hydrogen production equipment is simulated through the hydrogen production simulation model to obtain the hydrogen production result corresponding to each methanol conversion condition information;

[0008] Based on the hydrogen production results corresponding to each of the methanol conversion condition information, the target catalyst information of the formaldehyde conversion process and the target reaction condition information of the formaldehyde conversion process are generated through the hydrogen production strategy optimization network, and the target catalyst information and the target reaction condition information are used as the target hydrogen production method of the hydrogen production equipment.

[0009] Optionally, constructing a hydrogen production simulation model of the hydrogen production equipment based on the equipment structure data and the hydrogen production process information includes:

[0010] Splitting the equipment structure data into three-dimensional structure data of each equipment structure and structure connection data between each equipment structure, and splitting the hydrogen production process information into sub-hydrogen production process information of each equipment structure;

[0011] Based on the three-dimensional structural data of each of the equipment structures, a structural model of each of the equipment structures is constructed, and based on the structural connection data between the equipment structures, a structural connection process is performed on each of the equipment structures to obtain a three-dimensional structural model of the hydrogen production equipment;

[0012] Based on the sub-hydrogen production process information of each of the equipment structures, the sub-hydrogen production method of each equipment structure and the structural operation type of each equipment structure are identified, and based on the sub-hydrogen production method of each equipment structure and the structural operation type of each equipment structure, the hydrogen production operation parameters of each equipment structure are generated through a parameter conversion program, and the hydrogen production operation parameters of each equipment structure are added to the structural model of each equipment structure in the three-dimensional structural model to obtain the hydrogen production simulation model of the hydrogen production equipment.

[0013] Optionally, generating each methanol conversion condition information of the hydrogen production equipment based on each catalyst information and each reaction condition information includes:

[0014] Based on each of the catalyst information, identifying the catalyst type of each catalyst and the catalyst structure information of each catalyst, and based on each of the reaction condition information, identifying the condition range of each reaction condition type;

[0015] Based on the catalyst type of each catalyst and the condition range of each reaction condition type, the sub-condition range of each reaction condition type adapted for each catalyst is screened, and based on the catalyst type of each catalyst, the catalyst structure information of each catalyst, and the sub-condition range of each reaction condition type adapted for each catalyst, each methanol conversion condition information corresponding to each catalyst is generated through a single variable method strategy;

[0016] The methanol conversion condition information corresponding to each catalyst is used as the methanol conversion condition information of the hydrogen production equipment.

[0017] Optionally, based on the catalyst type of each catalyst and the condition range of each reaction condition type, screening the sub-condition range of each reaction condition type adapted for each catalyst includes:

[0018] For each catalyst type, based on the catalyst type, query the catalytic method corresponding to the catalyst type and the influence information of each type of reaction condition affecting the catalytic method in the catalytic database;

[0019] For each type of reaction condition influencing, collecting the influence distribution information of the type of reaction condition influencing on each catalyst of the catalyst type, and identifying the influence trend of the type of reaction condition influencing on the catalyst type based on the influence information of the type of reaction condition influencing;

[0020] Based on the influence trend of the influencing reaction condition type on the catalyst type and the influence distribution information of the influencing reaction condition type on each catalyst of the catalyst type, within the condition range of the influencing reaction condition type, an optimized influence range on the catalyst type is screened as a sub-condition range of the influencing reaction condition type adapted by the catalyst type;

[0021] All sub-condition ranges that affect the reaction condition type, and all condition ranges of the reaction condition type other than those that affect the reaction condition type, are taken as sub-condition ranges of each reaction condition type adapted to each catalyst of the catalyst type.

[0022] Optionally, based on each of the methanol conversion condition information, simulating the hydrogen production process of the hydrogen production equipment through the hydrogen production simulation model to obtain the hydrogen production result corresponding to each of the methanol conversion condition information includes:

[0023] For each methanol conversion condition information, based on the methanol conversion condition information, identifying each condition parameter corresponding to the methanol conversion condition information through a parameter conversion program;

[0024] Inputting each of the condition parameters into the hydrogen production simulation model, simulating the hydrogen production process of the hydrogen production equipment through a preset iterative simulation strategy, and obtaining simulation result record information of the hydrogen production simulation model in each iteration;

[0025] Based on the simulation result record information of each iteration, the simulated hydrogen production rate corresponding to the methanol conversion condition information and the methanol conversion rate of the methanol conversion conditions are identified, and the simulated hydrogen production rate corresponding to the methanol conversion condition information and the methanol conversion rate of the methanol conversion conditions are used as the hydrogen production result corresponding to the methanol conversion condition information.

[0026] Optionally, the hydrogen production results corresponding to each of the methanol conversion condition information are used to generate target catalyst information of the formaldehyde conversion process and target reaction condition information of the formaldehyde conversion process through a hydrogen production strategy optimization network, including:

[0027] For each catalyst, based on the hydrogen production result corresponding to each methanol conversion condition information of the catalyst, identifying the catalyst structure information of the catalyst, first association information between the catalyst structure information and the hydrogen production result, and second association information between each reaction condition type of the catalyst and the hydrogen production result;

[0028] Based on the first association information of the catalyst and the second association information of the catalyst, the optimal catalyst structure information of the catalyst, the optimal reaction condition information of the catalyst, and the predicted optimal hydrogen production result of the catalyst are generated through a hydrogen production strategy optimization network, and based on the optimal catalyst structure information of each catalyst, the optimal reaction condition information of each catalyst, and the predicted optimal hydrogen production result of each catalyst, a target catalyst is screened through a catalyst screening strategy;

[0029] The optimal catalyst structure information of the target catalyst is used as the target catalyst information of the formaldehyde conversion process, and the optimal reaction condition information of the target catalyst is used as the target reaction condition information of the formaldehyde conversion process.

[0030] In addition, to achieve the above-mentioned purpose, the present invention also provides a hydrogen production efficiency improvement system based on formaldehyde conversion process optimization, and the hydrogen production efficiency improvement system based on formaldehyde conversion process optimization includes:

[0031] An acquisition module, used to acquire equipment structure data of a hydrogen production equipment, hydrogen production process information of the hydrogen production equipment, information of various catalysts adapted to a formaldehyde conversion process, and information of various reaction conditions corresponding to the formaldehyde conversion process, and construct a hydrogen production simulation model of the hydrogen production equipment based on the equipment structure data and the hydrogen production process information;

[0032] A simulation module, for generating each methanol conversion condition information of the hydrogen production equipment based on each catalyst information and each reaction condition information, and simulating the hydrogen production process of the hydrogen production equipment through the hydrogen production simulation model based on each methanol conversion condition information to obtain a hydrogen production result corresponding to each methanol conversion condition information;

[0033] A screening module is used to generate target catalyst information and target reaction condition information of the formaldehyde conversion process based on the hydrogen production results corresponding to each of the methanol conversion condition information through a hydrogen production strategy optimization network, and use the target catalyst information and target reaction condition information as the target hydrogen production method of the hydrogen production equipment.

[0034] Optionally, the acquisition module is specifically used to:

[0035] Splitting the equipment structure data into three-dimensional structure data of each equipment structure and structure connection data between each equipment structure, and splitting the hydrogen production process information into sub-hydrogen production process information of each equipment structure;

[0036] Based on the three-dimensional structural data of each of the equipment structures, a structural model of each of the equipment structures is constructed, and based on the structural connection data between the equipment structures, a structural connection process is performed on each of the equipment structures to obtain a three-dimensional structural model of the hydrogen production equipment;

[0037] Based on the sub-hydrogen production process information of each of the equipment structures, the sub-hydrogen production method of each equipment structure and the structural operation type of each equipment structure are identified, and based on the sub-hydrogen production method of each equipment structure and the structural operation type of each equipment structure, the hydrogen production operation parameters of each equipment structure are generated through a parameter conversion program, and the hydrogen production operation parameters of each equipment structure are added to the structural model of each equipment structure in the three-dimensional structural model to obtain the hydrogen production simulation model of the hydrogen production equipment.

[0038] Optionally, the simulation module is specifically used for:

[0039] Based on each of the catalyst information, identifying the catalyst type of each catalyst and the catalyst structure information of each catalyst, and based on each of the reaction condition information, identifying the condition range of each reaction condition type;

[0040] Based on the catalyst type of each catalyst and the condition range of each reaction condition type, the sub-condition range of each reaction condition type adapted for each catalyst is screened, and based on the catalyst type of each catalyst, the catalyst structure information of each catalyst, and the sub-condition range of each reaction condition type adapted for each catalyst, each methanol conversion condition information corresponding to each catalyst is generated through a single variable method strategy;

[0041] The methanol conversion condition information corresponding to each catalyst is used as the methanol conversion condition information of the hydrogen production equipment.

[0042] Optionally, the simulation module is specifically used for:

[0043] For each catalyst type, based on the catalyst type, query the catalytic method corresponding to the catalyst type and the influence information of each type of reaction condition affecting the catalytic method in the catalytic database;

[0044] For each type of reaction condition influencing, collecting the influence distribution information of the type of reaction condition influencing on each catalyst of the catalyst type, and identifying the influence trend of the type of reaction condition influencing on the catalyst type based on the influence information of the type of reaction condition influencing;

[0045] Based on the influence trend of the influencing reaction condition type on the catalyst type and the influence distribution information of the influencing reaction condition type on each catalyst of the catalyst type, within the condition range of the influencing reaction condition type, an optimized influence range on the catalyst type is screened as a sub-condition range of the influencing reaction condition type adapted by the catalyst type;

[0046] All sub-condition ranges that affect the reaction condition type, and all condition ranges of the reaction condition type other than those that affect the reaction condition type, are taken as sub-condition ranges of each reaction condition type adapted to each catalyst of the catalyst type.

[0047] Optionally, the simulation module is specifically used for:

[0048] For each methanol conversion condition information, based on the methanol conversion condition information, identifying each condition parameter corresponding to the methanol conversion condition information through a parameter conversion program;

[0049] Inputting each of the condition parameters into the hydrogen production simulation model, simulating the hydrogen production process of the hydrogen production equipment through a preset iterative simulation strategy, and obtaining simulation result record information of the hydrogen production simulation model in each iteration;

[0050] Based on the simulation result record information of each iteration, the simulated hydrogen production rate corresponding to the methanol conversion condition information and the methanol conversion rate of the methanol conversion conditions are identified, and the simulated hydrogen production rate corresponding to the methanol conversion condition information and the methanol conversion rate of the methanol conversion conditions are used as the hydrogen production result corresponding to the methanol conversion condition information.

[0051] Optionally, the screening module is specifically used to:

[0052] For each catalyst, based on the hydrogen production result corresponding to each methanol conversion condition information of the catalyst, identifying the catalyst structure information of the catalyst, first association information between the catalyst structure information and the hydrogen production result, and second association information between each reaction condition type of the catalyst and the hydrogen production result;

[0053] Based on the first association information of the catalyst and the second association information of the catalyst, the optimal catalyst structure information of the catalyst, the optimal reaction condition information of the catalyst, and the predicted optimal hydrogen production result of the catalyst are generated through a hydrogen production strategy optimization network, and based on the optimal catalyst structure information of each catalyst, the optimal reaction condition information of each catalyst, and the predicted optimal hydrogen production result of each catalyst, a target catalyst is screened through a catalyst screening strategy;

[0054] The optimal catalyst structure information of the target catalyst is used as the target catalyst information of the formaldehyde conversion process, and the optimal reaction condition information of the target catalyst is used as the target reaction condition information of the formaldehyde conversion process.

[0055] Preferably, the present application provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0056] Preferably, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of any one of the methods in the first aspect when executed by a processor.

[0057] Preferably, the present application provides a computer program product. The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0058] The present invention provides a method and system for improving hydrogen production efficiency based on formaldehyde conversion process optimization. The method comprises: obtaining equipment structure data of hydrogen production equipment, hydrogen production process information of the hydrogen production equipment, information of various catalysts adapted to the formaldehyde conversion process, and information of various reaction conditions corresponding to the formaldehyde conversion process, and constructing a hydrogen production simulation model of the hydrogen production equipment based on the equipment structure data and the hydrogen production process information; generating various methanol conversion condition information of the hydrogen production equipment based on the catalyst information and the reaction condition information, and simulating the hydrogen production process of the hydrogen production equipment through the hydrogen production simulation model based on the methanol conversion condition information to obtain hydrogen production results corresponding to the methanol conversion condition information; generating target catalyst information of the formaldehyde conversion process and target reaction condition information of the formaldehyde conversion process through a hydrogen production strategy optimization network based on the hydrogen production results corresponding to the methanol conversion condition information, and using the target catalyst information and the target reaction condition information as the target hydrogen production mode of the hydrogen production equipment. This scheme, after structural modeling of the hydrogen production methods, the catalyst information used, and the reaction condition information of different hydrogen production equipment, constructs methanol conversion condition information based on different catalyst information and different reaction condition information, so as to simulate and detect the target catalyst information and target reaction condition information that are most suitable for the hydrogen production equipment by debugging different catalyst information and different reaction condition information, thereby obtaining the target hydrogen production method of the hydrogen production equipment, avoiding the problems of high experience requirements for staff, long actual reaction time and high experimental cost, thereby comprehensively improving the hydrogen production efficiency of industrial by-product hydrogen production. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the scheme in the present application, a brief introduction is given below to the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0060] Figure 1 is a flow chart of a method for improving hydrogen production efficiency based on formaldehyde conversion process optimization provided by an embodiment of the present invention;

[0061] Figure 2 It is a structural schematic diagram of a hydrogen production efficiency improvement system based on formaldehyde conversion process optimization provided by an embodiment of the present invention;

[0062] Figure 3 An internal structure diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0063] The method for improving hydrogen production efficiency based on formaldehyde conversion process optimization provided by the embodiment of the present invention is applied to the system for improving hydrogen production efficiency based on formaldehyde conversion process optimization. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of the present application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "including" and "having" in the specification and claims of the present application and the above-mentioned drawings and any variations thereof are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of the present application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0064] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0065] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0066] The hydrogen production efficiency improvement method based on formaldehyde conversion process optimization provided in the embodiment of the present application can be applied to the application environment of formaldehyde conversion hydrogen production. Among them, the method can be applied to a terminal, can also be applied to a server, can also be applied to a system including a terminal and a server, and is realized through the interaction between the terminal and the server. Among them, the terminal can be, but is not limited to, various personal computers, laptops, etc. Among them, the terminal constructs methanol conversion condition information based on different catalyst information and different reaction condition information after structural modeling of the hydrogen production methods, the catalyst information used, and each reaction condition information of different hydrogen production equipment, so as to simulate and detect the target catalyst information and target reaction condition information most suitable for the hydrogen production equipment by debugging different catalyst information and different reaction condition information, thereby obtaining the target hydrogen production method of the hydrogen production equipment, avoiding the high experience requirements for the staff, the long actual reaction time, and the high test cost, thereby comprehensively improving the hydrogen production efficiency of industrial by-product hydrogen production.

[0067] In one embodiment, Figure 1 As shown, a method for improving hydrogen production efficiency based on formaldehyde conversion process optimization is provided, and the method is applied to a terminal as an example for explanation, including the following steps:

[0068] Step S101, obtaining equipment structure data of the hydrogen production equipment, hydrogen production process information of the hydrogen production equipment, information of various catalysts adapted to the formaldehyde conversion process, and information of various reaction conditions corresponding to the formaldehyde conversion process, and constructing a hydrogen production simulation model of the hydrogen production equipment based on the equipment structure data and the hydrogen production process information.

[0069] In this embodiment, the terminal performs a three-dimensional scanning of the hydrogen production equipment through a device carrying a three-dimensional scanning technology, or obtains a three-dimensional structural model of each equipment structure of the hydrogen production equipment by obtaining a design drawing of the hydrogen production equipment. Then, the terminal responds to the staff's information upload operation to obtain the hydrogen production process information of the hydrogen production equipment. Among them, the hydrogen production process information includes the sub-hydrogen production process information of each equipment structure, wherein the equipment structure is each structure that constitutes the hydrogen production equipment. Among them, the structure includes but is not limited to electrolyzers, gas-water separators, gas scrubbers, pressure regulators, balance water tanks, coolers, hydrogen storage tanks, water seal tanks, alkali solution dissolution tanks and filters and other equipment structures. Then, the terminal obtains the information of each catalyst adapted to the formaldehyde conversion process of the hydrogen production equipment, and the information of each reaction condition, wherein each catalyst information includes the catalyst type of each catalyst and the catalyst structure information of each catalyst. And each reaction condition information is the condition range of each reaction condition type. Among them, the catalyst includes but is not limited to titanium salts, zinc salts, and copper salt types. Specific catalysts, for example, titanium dioxide, zinc oxide, and copper oxide. Each reaction condition type includes but is not limited to temperature, humidity, pressure and other reaction condition types. Finally, the terminal constructs a hydrogen production simulation model of the hydrogen production equipment based on the equipment structure data and the hydrogen production process information. The specific generation method of the hydrogen production equipment will be described in detail later.

[0070] Step S102, based on the catalyst information and the reaction condition information, generates the methanol conversion condition information of the hydrogen production equipment, and based on the methanol conversion condition information, simulates the hydrogen production process of the hydrogen production equipment through a hydrogen production simulation model to obtain the hydrogen production results corresponding to the methanol conversion condition information.

[0071] In this embodiment, the terminal generates each methanol conversion condition information of the hydrogen production equipment based on each catalyst information and each reaction condition information, and based on each methanol conversion condition information, simulates the hydrogen production process of the hydrogen production equipment through a hydrogen production simulation model, and obtains the hydrogen production results corresponding to each methanol conversion condition information. Among them, the method of generating each methanol conversion condition information of the hydrogen production equipment is to adjust each catalyst information or reaction condition information through the principle of the single variable method, thereby obtaining the methanol conversion condition information. Finally, based on each methanol conversion condition information, the terminal simulates the hydrogen production process of the hydrogen production equipment through a hydrogen production simulation model, and obtains the hydrogen production results corresponding to each methanol conversion condition information. Among them, the specific hydrogen production simulation process will be described in detail later. The hydrogen production result obtained is the identification result of detecting and identifying the product and residue of hydrogen production. The product is hydrogen, and the residue is the residual formaldehyde concentration, etc.

[0072] Step S103, based on the hydrogen production results corresponding to each methanol conversion condition information, the target catalyst information of the formaldehyde conversion process and the target reaction condition information of the formaldehyde conversion process are generated through the hydrogen production strategy optimization network, and the target catalyst information and the target reaction condition information are used as the target hydrogen production method of the hydrogen production equipment.

[0073] In this embodiment, the terminal generates target catalyst information and target reaction condition information of the formaldehyde conversion process based on the hydrogen production results corresponding to each methanol conversion condition information through the hydrogen production strategy optimization network, and uses the target catalyst information and target reaction condition information as the target hydrogen production mode of the hydrogen production equipment. Among them, the target catalyst information and target reaction condition information are catalyst information and reaction condition information for improving the conversion efficiency of the formaldehyde conversion process, improving the hydrogen concentration value, and reducing the residual formaldehyde concentration. The specific generation process will be described in detail later.

[0074] Based on the above scheme, after structural modeling of the hydrogen production methods of different hydrogen production equipment, the catalyst information used, and the reaction condition information, methanol conversion condition information based on different catalyst information and different reaction condition information is constructed, so that by debugging different catalyst information and different reaction condition information, the target catalyst information and target reaction condition information that are most suitable for the hydrogen production equipment are simulated and detected, thereby obtaining the target hydrogen production method of the hydrogen production equipment, avoiding the problems of high experience requirements for staff, long actual reaction time and high experimental cost, thereby comprehensively improving the hydrogen production efficiency of industrial by-product hydrogen production.

[0075] Optionally, based on the equipment structure data and the hydrogen production process information, a hydrogen production simulation model of the hydrogen production equipment is constructed, including: splitting the equipment structure data into three-dimensional structure data of each equipment structure and structural connection data between each equipment structure, and splitting the hydrogen production process information into sub-hydrogen production process information of each equipment structure; constructing a structural model of each equipment structure based on the three-dimensional structure data of each equipment structure, and performing structural connection processing on each equipment structure based on the structural connection data between each equipment structure to obtain a three-dimensional structural model of the hydrogen production equipment; based on the sub-hydrogen production process information of each equipment structure, identifying the sub-hydrogen production mode of each equipment structure and the structural operation type of each equipment structure, and based on the sub-hydrogen production mode of each equipment structure and the structural operation type of each equipment structure, generating hydrogen production operation parameters for each equipment structure through a parameter conversion program, and adding the hydrogen production operation parameters of each equipment structure to the structural model of each equipment structure in the three-dimensional structure model to obtain a hydrogen production simulation model of the hydrogen production equipment.

[0076] In this embodiment, the terminal splits the equipment structure data into three-dimensional structure data of each equipment structure and structural connection data between each equipment structure, and splits the hydrogen production process information into sub-hydrogen production process information of each equipment structure. Among them, the sub-hydrogen production process information is process information that affects hydrogen production efficiency, hydrogen production concentration, and formaldehyde conversion efficiency. Therefore, the sub-hydrogen production process information is the information that is directly uploaded to the terminal after being screened by the staff when the staff uploads the information.

[0077] Then, the terminal constructs a structural model of each device structure based on the three-dimensional structural data of each device structure, and performs structural connection processing on each device structure based on the structural connection data between the device structures to obtain a three-dimensional structural model of the hydrogen production device. The structural model of each device structure is constructed by the terminal using a 3D modeling program based on the three-dimensional structural model of each hydrogen production device to obtain a model. The 3D modeling program can be a model constructed based on a finite element simulation model construction method.

[0078] Afterwards, the terminal identifies the sub-hydrogen production mode of each equipment structure and the structural operation type of each equipment structure based on the sub-hydrogen production process information of each equipment structure, and generates the hydrogen production operation parameters of each equipment structure through a parameter conversion program based on the sub-hydrogen production mode of each equipment structure and the structural operation type of each equipment structure, and adds the hydrogen production operation parameters of each equipment structure to the structural model of each equipment structure of the three-dimensional structural model to obtain a hydrogen production simulation model of the hydrogen production equipment. Among them, the parameter conversion program is a physical parameter conversion program. Among them, each hydrogen production mode is a hydrogen production mode corresponding to the process related to hydrogen production in the sub-hydrogen production process information of each equipment structure. Among them, the hydrogen production mode corresponding to each sub-hydrogen production process is stored in the hydrogen production database of the hydrogen production equipment, and the terminal identifies the hydrogen production mode corresponding to each sub-hydrogen production process by querying the hydrogen production database.

[0079] Based on the above scheme, after three-dimensional modeling, the hydrogen production method is parameterized and applied to the three-dimensional structure model corresponding to the hydrogen production model to obtain the hydrogen production simulation model of the hydrogen production equipment. The simulation accuracy and practicality of the obtained hydrogen production simulation model are improved.

[0080] Optionally, based on each catalyst information and each reaction condition information, each methanol conversion condition information of the hydrogen production equipment is generated, including: based on each catalyst information, identifying the catalyst type of each catalyst and the catalyst structure information of each catalyst, and based on each reaction condition information, identifying the condition range of each reaction condition type; based on the catalyst type of each catalyst and the condition range of each reaction condition type, screening the sub-condition range of each reaction condition type adapted for each catalyst, and based on the catalyst type of each catalyst, the catalyst structure information of each catalyst, and the sub-condition range of each reaction condition type adapted for each catalyst, generating each methanol conversion condition information corresponding to each catalyst through a single variable method strategy; using each methanol conversion condition information corresponding to each catalyst as each methanol conversion condition information of the hydrogen production equipment.

[0081] In this embodiment, the terminal identifies the catalyst type of each catalyst and the catalyst structure information of each catalyst based on each catalyst information, and identifies the condition range of each reaction condition type based on each reaction condition information. Among them, the catalyst structure information is the catalyst three-dimensional shape of the catalyst, the catalyst physical structure data, etc. For example, the three-dimensional shape of the catalyst is a cube, and the physical structure data is a granular catalyst, etc. Among them, the three-dimensional shape of the catalyst can be, but not limited to, a tablet, a cube, an irregular polyhedron, a powder, a sphere, etc. The catalyst physical structure data includes, but is not limited to, a powder compressed shape, a granular shape, a crystalline shape, etc.

[0082] Then, the terminal screens the sub-condition ranges of each reaction condition type adapted by each catalyst based on the catalyst type of each catalyst and the condition range of each reaction condition type, and generates each methanol conversion condition information corresponding to each catalyst through a single variable method strategy based on the catalyst type of each catalyst, the catalyst structure information of each catalyst, and the sub-condition ranges of each reaction condition type adapted by each catalyst. Among them, the single variable method strategy is a variable strategy that changes each condition value of each reaction condition type in the sub-condition range corresponding to the reaction condition type, while keeping the catalyst structure information and catalyst type of the catalyst unchanged, or, respectively, changes the catalyst structure information or catalyst type of each catalyst, while keeping the condition value of each reaction condition type unchanged. Among them, the way to change the catalyst structure information can be to change the shape, change the volume of a single catalyst, or change the contact area of ​​a single catalyst with the air.

[0083] Finally, the terminal uses the methanol conversion condition information corresponding to each catalyst as the methanol conversion condition information of the hydrogen production equipment.

[0084] Based on the above scheme, the catalyst information of the catalyst or the condition value of the reaction condition type is adjusted through the single variable method to improve the accuracy of identifying the impact of the catalyst and the reaction condition type on the formaldehyde conversion process of the hydrogen production equipment.

[0085] Optionally, based on the catalyst type of each catalyst and the condition range of each reaction condition type, the sub-condition range of each reaction condition type adapted for each catalyst is screened, including: for each catalyst type, based on the catalyst type, querying the catalytic mode corresponding to the catalyst type and the influence information of each reaction condition type affecting the catalytic mode in the catalytic database; for each reaction condition type affecting the catalyst, collecting the distribution information of the influence of the reaction condition type on each catalyst of the catalyst type, and based on the influence information of the reaction condition type affecting the catalyst, identifying the influence trend of the reaction condition type on the catalyst type; based on the influence trend of the reaction condition type on the catalyst type and the influence distribution information of the reaction condition type on each catalyst of the catalyst type, in the condition range affecting the reaction condition type, screening the optimized influence range on the catalyst type as the sub-condition range of the reaction condition type affecting the catalyst type adapted for the catalyst type; using all sub-condition ranges of the reaction condition type affecting the catalyst type and all condition ranges of the reaction condition type except the reaction condition type affecting the catalyst as the sub-condition range of the reaction condition type affecting the catalyst type adapted for each catalyst of the catalyst type.

[0086] In this embodiment, the terminal queries the catalytic method corresponding to the catalyst type and the influence information of each type of reaction condition affecting the catalytic method in the catalytic database based on the catalyst type for each catalyst type. Among them, the type of reaction condition affecting the catalytic method is the type of reaction condition affecting the catalytic method, and the influence information affecting the type of reaction condition is the influence trend of the type of reaction condition affecting the catalytic method. Among them, the type of reaction condition affecting the reaction includes but is not limited to temperature conditions, pressure conditions, humidity conditions and other condition types.

[0087] Then, for each type of reaction condition that affects the reaction condition, the terminal collects the impact distribution information of each catalyst of the catalyst type, and identifies the impact trend of the reaction condition type on the catalyst type based on the impact information of the reaction condition type. Among them, the impact distribution information is the catalytic impact direction and degree of catalytic impact of each change in the reaction condition type on the catalytic method. For example, an increase in temperature can improve the catalytic efficiency of catalytic method A, and a decrease in pressure can reduce the catalytic efficiency of catalytic method A.

[0088] Specifically, the terminal screens the sub-influence information that affects the catalyst type in the influence information, and queries the influence trend corresponding to the sub-influence information in the influence database. The influence database stores the corresponding relationship between multiple influence information and influence trends, and the terminal identifies the corresponding influence trend of the catalyst type by querying the corresponding relationship.

[0089] Then, based on the influence trend of the reaction condition type on the catalyst type, and the influence distribution information of the reaction condition type on each catalyst of the catalyst type, the optimized influence range on the catalyst type is screened in the condition range affecting the reaction condition type, as the sub-condition range of the reaction condition type adapted by the catalyst type. Among them, the condition range affecting the reaction conditions is the distribution range of the influence distribution information. Among them, the optimized influence range is the influence range that has a positive impact on the catalyst type, for example, accelerating the catalytic rate, reducing the catalytic time, increasing the hydrogen generation concentration, and the range of formaldehyde conversion ratio.

[0090] Thereafter, the terminal uses all sub-condition ranges that affect the reaction condition type and all condition ranges of the reaction condition type other than those that affect the reaction condition type as sub-condition ranges of each reaction condition type adapted to each catalyst of the catalyst type.

[0091] Based on the above scheme, by screening the condition range of each reaction condition type, the number of simulations is reduced and the simulation range is limited, thereby improving the efficiency of screening target catalyst information and target reaction condition information.

[0092] Optionally, based on each methanol conversion condition information, a hydrogen production simulation model is used to simulate the hydrogen production process of the hydrogen production equipment to obtain a hydrogen production result corresponding to each methanol conversion condition information, including: for each methanol conversion condition information, based on the methanol conversion condition information, through a parameter conversion program, identifying each condition parameter corresponding to the methanol conversion condition information; inputting each condition parameter into the hydrogen production simulation model, simulating the hydrogen production process of the hydrogen production equipment through a preset iterative simulation strategy, and obtaining the simulation result record information of the hydrogen production simulation model in each iteration; based on the simulation result record information of each iteration, identifying the simulated hydrogen production rate corresponding to the methanol conversion condition information and the methanol conversion rate of the methanol conversion conditions, and using the simulated hydrogen production rate corresponding to the methanol conversion condition information and the methanol conversion rate of the methanol conversion conditions as the hydrogen production result corresponding to the methanol conversion condition information.

[0093] In this embodiment, the terminal identifies each condition parameter corresponding to each methanol conversion condition information based on the methanol conversion condition information through a parameter conversion program. The condition parameters are parameters corresponding to the condition value of each reaction condition type and parameters corresponding to the structure data of each catalytic structure information in the catalyst information.

[0094] Then, the terminal inputs each condition parameter into the hydrogen production simulation model, simulates the hydrogen production process of the hydrogen production equipment through the preset iterative simulation strategy, and obtains the simulation result record information of each iteration of the hydrogen production simulation model. Among them, the preset iterative simulation strategy is preset by the staff in the terminal, which is used to simulate the execution instructions of the operation process of each equipment structure when the hydrogen production simulation model produces hydrogen.

[0095] Finally, the terminal records the simulation results of each iteration, identifies the simulated hydrogen production rate corresponding to the methanol conversion condition information, and the methanol conversion rate of the methanol conversion conditions, and uses the simulated hydrogen production rate corresponding to the methanol conversion condition information, and the methanol conversion rate of the methanol conversion conditions as the hydrogen production result corresponding to the methanol conversion condition information.

[0096] Based on the above scheme, the information of each methanol conversion condition is converted into each condition parameter through a parameter conversion program, and then the simulation is carried out, which improves the efficiency and authenticity of the simulation.

[0097] Optionally, based on the hydrogen production results corresponding to each methanol conversion condition information, target catalyst information of the formaldehyde conversion process and target reaction condition information of the formaldehyde conversion process are generated through a hydrogen production strategy optimization network, including: for each catalyst, based on the hydrogen production results corresponding to each methanol conversion condition information of the catalyst, identifying the catalyst structure information of the catalyst, the first association information between the catalyst and the hydrogen production result, and the second association information between each reaction condition type of the catalyst and the hydrogen production result; based on the first association information of the catalyst and the second association information of the catalyst, generating the optimal catalyst structure information of the catalyst, the optimal reaction condition information of the catalyst, and the predicted optimal hydrogen production result of the catalyst through a hydrogen production strategy optimization network, and based on the optimal catalyst structure information of each catalyst, the optimal reaction condition information of each catalyst, and the predicted optimal hydrogen production result of each catalyst, screening the target catalyst through a catalyst screening strategy; using the optimal catalyst structure information of the target catalyst as the target catalyst information of the formaldehyde conversion process, and using the optimal reaction condition information of the target catalyst as the target reaction condition information of the formaldehyde conversion process.

[0098] In this embodiment, the terminal identifies the catalyst structure information of the catalyst, the first association information between the catalyst and the hydrogen production result, and the second association information between the catalyst reaction condition type and the hydrogen production result for each catalyst based on the hydrogen production result corresponding to each methanol conversion condition information of the catalyst. Among them, the first association information is the proportional relationship between the change amount of the catalyst structure information and the change amount between the hydrogen production result, and the second association information is the proportional relationship between the change amount of the condition value of each reaction condition type and the change amount between the hydrogen production result. The proportional relationship includes each sub-proportional relationship within different ranges of change. That is, the proportional relationship is not unique, and the proportional relationship is a different proportional value when the change amount of different catalyst structure information or the change range of the condition value change amount is different. Among them, the hydrogen production result includes a hydrogen production concentration value and a residual formaldehyde concentration value.

[0099] Then, based on the first associated information of the catalyst and the second associated information of the catalyst, the terminal generates the optimal catalyst structure information of the catalyst, the optimal reaction condition information of the catalyst, and the predicted optimal hydrogen production result of the catalyst through the hydrogen production strategy optimization network, and based on the optimal catalyst structure information of each catalyst, the optimal reaction condition information of each catalyst, and the predicted optimal hydrogen production result of each catalyst, the target catalyst is screened through the catalyst screening strategy. Among them, the hydrogen production strategy optimization network is an artificial neural network based on a reinforcement learning neural network. The reward function in the artificial neural network is used to adjust the output reaction condition information and catalyst structure information to the optimal hydrogen production result, that is, the result of increasing the difficulty value of hydrogen production and decreasing the formaldehyde concentration value.

[0100] Finally, the terminal uses the optimal catalyst structure information of the target catalyst as the target catalyst information of the formaldehyde conversion process, and uses the optimal reaction condition information of the target catalyst as the target reaction condition information of the formaldehyde conversion process.

[0101] Based on the above scheme, after identifying the first associated information and the second associated information, the target catalyst information and the target reaction condition information are screened through an artificial neural network, thereby improving the accuracy and comprehensiveness of the screening.

[0102] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0103] Based on the same inventive concept, the embodiment of the present application also provides a hydrogen production efficiency improvement system based on formaldehyde conversion process optimization for realizing the hydrogen production efficiency improvement method based on formaldehyde conversion process optimization involved above. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the hydrogen production efficiency improvement system based on formaldehyde conversion process optimization provided below can refer to the limitations of the hydrogen production efficiency improvement method based on formaldehyde conversion process optimization above, and will not be repeated here.

[0104] Further references Figure 2 , as a response to the above Figure 1 The implementation of the method shown in the figure, the present application provides an embodiment of a system 200 for improving hydrogen production efficiency based on formaldehyde conversion process optimization, the system comprising an acquisition module 210, a simulation module 220 and a screening module 230, wherein:

[0105] An acquisition module 210 is used to acquire equipment structure data of a hydrogen production equipment, hydrogen production process information of the hydrogen production equipment, information of various catalysts adapted to a formaldehyde conversion process, and information of various reaction conditions corresponding to the formaldehyde conversion process, and to construct a hydrogen production simulation model of the hydrogen production equipment based on the equipment structure data and the hydrogen production process information;

[0106] The simulation module 220 is used to generate each methanol conversion condition information of the hydrogen production equipment based on each catalyst information and each reaction condition information, and simulate the hydrogen production process of the hydrogen production equipment through the hydrogen production simulation model based on each methanol conversion condition information to obtain the hydrogen production result corresponding to each methanol conversion condition information;

[0107] The screening module 230 is used to generate target catalyst information and target reaction condition information of the formaldehyde conversion process based on the hydrogen production results corresponding to each of the methanol conversion condition information through a hydrogen production strategy optimization network, and use the target catalyst information and target reaction condition information as the target hydrogen production method of the hydrogen production equipment.

[0108] Optionally, the acquisition module 210 is specifically configured to:

[0109] Splitting the equipment structure data into three-dimensional structure data of each equipment structure and structure connection data between each equipment structure, and splitting the hydrogen production process information into sub-hydrogen production process information of each equipment structure;

[0110] Based on the three-dimensional structural data of each of the equipment structures, a structural model of each of the equipment structures is constructed, and based on the structural connection data between the equipment structures, a structural connection process is performed on each of the equipment structures to obtain a three-dimensional structural model of the hydrogen production equipment;

[0111] Based on the sub-hydrogen production process information of each of the equipment structures, the sub-hydrogen production method of each equipment structure and the structural operation type of each equipment structure are identified, and based on the sub-hydrogen production method of each equipment structure and the structural operation type of each equipment structure, the hydrogen production operation parameters of each equipment structure are generated through a parameter conversion program, and the hydrogen production operation parameters of each equipment structure are added to the structural model of each equipment structure in the three-dimensional structural model to obtain the hydrogen production simulation model of the hydrogen production equipment.

[0112] Optionally, the simulation module 220 is specifically used for:

[0113] Based on each of the catalyst information, identifying the catalyst type of each catalyst and the catalyst structure information of each catalyst, and based on each of the reaction condition information, identifying the condition range of each reaction condition type;

[0114] Based on the catalyst type of each catalyst and the condition range of each reaction condition type, the sub-condition range of each reaction condition type adapted for each catalyst is screened, and based on the catalyst type of each catalyst, the catalyst structure information of each catalyst, and the sub-condition range of each reaction condition type adapted for each catalyst, each methanol conversion condition information corresponding to each catalyst is generated through a single variable method strategy;

[0115] The methanol conversion condition information corresponding to each catalyst is used as the methanol conversion condition information of the hydrogen production equipment.

[0116] Optionally, the simulation module 220 is specifically used for:

[0117] For each catalyst type, based on the catalyst type, query the catalytic method corresponding to the catalyst type and the influence information of each type of reaction condition affecting the catalytic method in the catalytic database;

[0118] For each type of reaction condition influencing, collecting the influence distribution information of the type of reaction condition influencing on each catalyst of the catalyst type, and identifying the influence trend of the type of reaction condition influencing on the catalyst type based on the influence information of the type of reaction condition influencing;

[0119] Based on the influence trend of the influencing reaction condition type on the catalyst type and the influence distribution information of the influencing reaction condition type on each catalyst of the catalyst type, within the condition range of the influencing reaction condition type, an optimized influence range on the catalyst type is screened as a sub-condition range of the influencing reaction condition type adapted by the catalyst type;

[0120] All sub-condition ranges that affect the reaction condition type, and all condition ranges of the reaction condition type other than those that affect the reaction condition type, are taken as sub-condition ranges of each reaction condition type adapted to each catalyst of the catalyst type.

[0121] Optionally, the simulation module 220 is specifically used for:

[0122] For each methanol conversion condition information, based on the methanol conversion condition information, identifying each condition parameter corresponding to the methanol conversion condition information through a parameter conversion program;

[0123] Inputting each of the condition parameters into the hydrogen production simulation model, simulating the hydrogen production process of the hydrogen production equipment through a preset iterative simulation strategy, and obtaining simulation result record information of the hydrogen production simulation model in each iteration;

[0124] Based on the simulation result record information of each iteration, the simulated hydrogen production rate corresponding to the methanol conversion condition information and the methanol conversion rate of the methanol conversion conditions are identified, and the simulated hydrogen production rate corresponding to the methanol conversion condition information and the methanol conversion rate of the methanol conversion conditions are used as the hydrogen production result corresponding to the methanol conversion condition information.

[0125] Optionally, the screening module 230 is specifically used for:

[0126] For each catalyst, based on the hydrogen production result corresponding to each methanol conversion condition information of the catalyst, identifying the catalyst structure information of the catalyst, first association information between the catalyst structure information and the hydrogen production result, and second association information between each reaction condition type of the catalyst and the hydrogen production result;

[0127] Based on the first association information of the catalyst and the second association information of the catalyst, the optimal catalyst structure information of the catalyst, the optimal reaction condition information of the catalyst, and the predicted optimal hydrogen production result of the catalyst are generated through a hydrogen production strategy optimization network, and based on the optimal catalyst structure information of each catalyst, the optimal reaction condition information of each catalyst, and the predicted optimal hydrogen production result of each catalyst, a target catalyst is screened through a catalyst screening strategy;

[0128] The optimal catalyst structure information of the target catalyst is used as the target catalyst information of the formaldehyde conversion process, and the optimal reaction condition information of the target catalyst is used as the target reaction condition information of the formaldehyde conversion process.

[0129] Each module in the above-mentioned hydrogen production efficiency improvement system based on formaldehyde conversion process optimization can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0130] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 3As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input system connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for improving hydrogen production efficiency based on formaldehyde conversion process optimization is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input system of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0131] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0132] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0133] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0134] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0135] It should be noted that the patient information (including but not limited to patient device information, patient personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the patient or fully authorized by all parties.

[0136] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present 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 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. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0137] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0138] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for improving hydrogen production efficiency based on formaldehyde conversion process optimization, characterized in that: The method comprises: Acquire equipment structure data of a hydrogen production equipment, hydrogen production process information of the hydrogen production equipment, information of various catalysts adapted to a formaldehyde conversion process, and information of various reaction conditions corresponding to the formaldehyde conversion process, and construct a hydrogen production simulation model of the hydrogen production equipment based on the equipment structure data and the hydrogen production process information; Based on the catalyst information and the reaction condition information, each methanol conversion condition information of the hydrogen production equipment is generated, and based on the methanol conversion condition information, the hydrogen production process of the hydrogen production equipment is simulated through the hydrogen production simulation model to obtain the hydrogen production result corresponding to each methanol conversion condition information; Based on the hydrogen production results corresponding to each of the methanol conversion condition information, the target catalyst information of the formaldehyde conversion process and the target reaction condition information of the formaldehyde conversion process are generated through the hydrogen production strategy optimization network, and the target catalyst information and the target reaction condition information are used as the target hydrogen production method of the hydrogen production equipment.

2. The method for improving hydrogen production efficiency based on formaldehyde conversion process optimization according to claim 1, characterized in that: The step of constructing a hydrogen production simulation model of the hydrogen production equipment based on the equipment structure data and the hydrogen production process information includes: Splitting the equipment structure data into three-dimensional structure data of each equipment structure and structure connection data between each equipment structure, and splitting the hydrogen production process information into sub-hydrogen production process information of each equipment structure; Based on the three-dimensional structural data of each of the equipment structures, a structural model of each of the equipment structures is constructed, and based on the structural connection data between the equipment structures, a structural connection process is performed on each of the equipment structures to obtain a three-dimensional structural model of the hydrogen production equipment; Based on the sub-hydrogen production process information of each of the equipment structures, the sub-hydrogen production method of each equipment structure and the structural operation type of each equipment structure are identified, and based on the sub-hydrogen production method of each equipment structure and the structural operation type of each equipment structure, the hydrogen production operation parameters of each equipment structure are generated through a parameter conversion program, and the hydrogen production operation parameters of each equipment structure are added to the structural model of each equipment structure in the three-dimensional structural model to obtain the hydrogen production simulation model of the hydrogen production equipment.

3. The method for improving hydrogen production efficiency based on formaldehyde conversion process optimization according to claim 1, characterized in that: The step of generating each methanol conversion condition information of the hydrogen production equipment based on each catalyst information and each reaction condition information comprises: Based on each of the catalyst information, identifying the catalyst type of each catalyst and the catalyst structure information of each catalyst, and based on each of the reaction condition information, identifying the condition range of each reaction condition type; Based on the catalyst type of each catalyst and the condition range of each reaction condition type, the sub-condition range of each reaction condition type adapted for each catalyst is screened, and based on the catalyst type of each catalyst, the catalyst structure information of each catalyst, and the sub-condition range of each reaction condition type adapted for each catalyst, each methanol conversion condition information corresponding to each catalyst is generated through a single variable method strategy; The methanol conversion condition information corresponding to each catalyst is used as the methanol conversion condition information of the hydrogen production equipment.

4. The method for improving hydrogen production efficiency based on formaldehyde conversion process optimization according to claim 3, characterized in that: The method of screening the sub-condition ranges of each reaction condition type adapted for each catalyst based on the catalyst type of each catalyst and the condition range of each reaction condition type includes: For each catalyst type, based on the catalyst type, query the catalytic method corresponding to the catalyst type and the influence information of each type of reaction condition affecting the catalytic method in the catalytic database; For each type of reaction condition influencing, collecting the influence distribution information of the type of reaction condition influencing on each catalyst of the catalyst type, and identifying the influence trend of the type of reaction condition influencing on the catalyst type based on the influence information of the type of reaction condition influencing; Based on the influence trend of the influencing reaction condition type on the catalyst type and the influence distribution information of the influencing reaction condition type on each catalyst of the catalyst type, within the condition range of the influencing reaction condition type, an optimized influence range on the catalyst type is screened as a sub-condition range of the influencing reaction condition type adapted by the catalyst type; All sub-condition ranges that affect the reaction condition type, and all condition ranges of the reaction condition type other than those that affect the reaction condition type, are taken as sub-condition ranges of each reaction condition type adapted to each catalyst of the catalyst type.

5. The method for improving hydrogen production efficiency based on formaldehyde conversion process optimization according to claim 2, characterized in that: Based on each of the methanol conversion condition information, the hydrogen production process of the hydrogen production equipment is simulated through the hydrogen production simulation model to obtain the hydrogen production result corresponding to each of the methanol conversion condition information, including: For each methanol conversion condition information, based on the methanol conversion condition information, identifying each condition parameter corresponding to the methanol conversion condition information through a parameter conversion program; Inputting each of the condition parameters into the hydrogen production simulation model, simulating the hydrogen production process of the hydrogen production equipment through a preset iterative simulation strategy, and obtaining simulation result record information of the hydrogen production simulation model in each iteration; Based on the simulation result record information of each iteration, the simulated hydrogen production rate corresponding to the methanol conversion condition information and the methanol conversion rate of the methanol conversion conditions are identified, and the simulated hydrogen production rate corresponding to the methanol conversion condition information and the methanol conversion rate of the methanol conversion conditions are used as the hydrogen production result corresponding to the methanol conversion condition information.

6. The method for improving hydrogen production efficiency based on formaldehyde conversion process optimization according to claim 5, characterized in that: The method of generating target catalyst information and target reaction condition information of the formaldehyde conversion process based on the hydrogen production results corresponding to each of the methanol conversion condition information through a hydrogen production strategy optimization network includes: For each catalyst, based on the hydrogen production result corresponding to each methanol conversion condition information of the catalyst, identifying the catalyst structure information of the catalyst, first association information between the catalyst structure information and the hydrogen production result, and second association information between each reaction condition type of the catalyst and the hydrogen production result; Based on the first association information of the catalyst and the second association information of the catalyst, the optimal catalyst structure information of the catalyst, the optimal reaction condition information of the catalyst, and the predicted optimal hydrogen production result of the catalyst are generated through a hydrogen production strategy optimization network, and based on the optimal catalyst structure information of each catalyst, the optimal reaction condition information of each catalyst, and the predicted optimal hydrogen production result of each catalyst, a target catalyst is screened through a catalyst screening strategy; The optimal catalyst structure information of the target catalyst is used as the target catalyst information of the formaldehyde conversion process, and the optimal reaction condition information of the target catalyst is used as the target reaction condition information of the formaldehyde conversion process.

7. A hydrogen production efficiency improvement system based on formaldehyde conversion process optimization, characterized in that: The system comprises: An acquisition module, used to acquire equipment structure data of a hydrogen production equipment, hydrogen production process information of the hydrogen production equipment, information of various catalysts adapted to a formaldehyde conversion process, and information of various reaction conditions corresponding to the formaldehyde conversion process, and construct a hydrogen production simulation model of the hydrogen production equipment based on the equipment structure data and the hydrogen production process information; A simulation module, for generating each methanol conversion condition information of the hydrogen production equipment based on each catalyst information and each reaction condition information, and simulating the hydrogen production process of the hydrogen production equipment through the hydrogen production simulation model based on each methanol conversion condition information to obtain a hydrogen production result corresponding to each methanol conversion condition information; A screening module is used to generate target catalyst information and target reaction condition information of the formaldehyde conversion process based on the hydrogen production results corresponding to each of the methanol conversion condition information through a hydrogen production strategy optimization network, and use the target catalyst information and target reaction condition information as the target hydrogen production method of the hydrogen production equipment.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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