A method and device for processing intermediate data for a target industrial chain

Abstract

The application discloses a kind of intermediate data processing method and device for target industry chain, the target industry chain includes the upper, middle and lower stream sub-project under target engineering, each sub-project has corresponding intermediate product, the method includes: constructing the first resource income function of each sub-project, constructing the second resource income function of target engineering;Determine the first constraint condition corresponding to the first resource income function, the second constraint condition corresponding to the second resource income function;Solve the second resource income function, when the solution result meets the second constraint condition, then based on the constraint of the first constraint condition, solve the first resource income function, determine the data resource quantity interval of intermediate product according to the solution result of the first resource income function.The application can accurately determine the data resource quantity interval of intermediate product, ensure that the resource income of target engineering, each sub-project corresponding always meets the requirement, so as to improve the overall resource utilization of industry chain.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to an intermediate data processing method and apparatus for a target industry chain. Background Technology

[0002] This section is intended to provide background or context for the embodiments of the invention set forth in the claims. The description herein is not an admission that it is prior art simply because it is included in this section.

[0003] The target industrial chain can refer to the complex industrial chain of wind and solar resources - electricity - hydrogen - ammonia (alcohol), which can be simply referred to as the "wind-solar-hydrogen-ammonia (alcohol) industrial chain" or "wind-solar-hydrogen industrial chain". This chain can cover the complete process from wind and solar power generation to water electrolysis to hydrogen production, and then to hydrogen to ammonia (alcohol), reflecting the comprehensive utilization of renewable energy and the green transformation of the chemical industry.

[0004] In complex supply chains, the amount of data resources for intermediate products (such as electricity and hydrogen energy) (which can characterize the value of intermediate products) directly affects the resource revenue of sub-projects and the overall project, thus impacting the overall resource utilization rate of the supply chain. However, current technologies cannot accurately determine the range of data resources for intermediate products in complex supply chains to ensure that the resource revenue of the target project and each sub-project always meets the requirements. This leads to problems such as low system efficiency, increased energy conversion losses, and insufficient equipment utilization in the supply chain.

[0005] There is currently no effective solution to the above problems. Summary of the Invention

[0006] This specification provides an intermediate data processing method and apparatus for a target industrial chain, which solves the problems of existing technologies being unable to accurately determine the feasible range of data resources for intermediate products, ensuring that the resource revenue corresponding to each sub-project and the overall project always meets the requirements, thereby leading to problems such as low operating efficiency of the industrial chain system, increased energy conversion losses, and insufficient equipment utilization.

[0007] Firstly, embodiments of this specification provide a method for processing intermediate data for a target industry chain, wherein the target industry chain includes upstream, midstream, and downstream sub-projects under a target project, and each sub-project has corresponding intermediate products. The method includes:

[0008] Based on the intermediate products, design parameters, and first resource revenue of each sub-project, construct the first resource revenue function of each sub-project; based on the design parameters of each sub-project under the target project and the second resource revenue of the target project, construct the second resource revenue function of the target project.

[0009] Determine the first constraint condition corresponding to the first resource revenue function and the second constraint condition corresponding to the second resource revenue function;

[0010] Solve the second resource quantity revenue function. When the solution of the second resource quantity revenue function satisfies the second constraint condition, solve the first resource quantity revenue function based on the first constraint condition. Determine the data resource quantity range of the intermediate product based on the solution of the first resource quantity revenue function.

[0011] In some embodiments, the upstream, midstream, and downstream sub-projects include: an upstream wind and solar power generation project, a midstream water electrolysis hydrogen production project, and a downstream hydrogen-to-ammonia or alcohol production project; correspondingly, the intermediate products of each sub-project include: electrical energy corresponding to the upstream wind and solar power generation project, electrical energy and hydrogen energy corresponding to the midstream water electrolysis hydrogen production project, and hydrogen energy corresponding to the downstream hydrogen-to-ammonia or alcohol production project.

[0012] In some embodiments, constructing the first resource revenue function for each sub-project includes:

[0013] Construct the first resource revenue function for upstream wind and solar power generation projects according to the following formula:

[0014] R1 = f(Q1A)

[0015] Construct the first resource revenue function for the midstream water electrolysis hydrogen production project according to the following formula:

[0016] R² = g(Q²AB)

[0017] Construct the first resource revenue function for downstream hydrogen-to-ammonia or alcohol production projects according to the following formula:

[0018] R3 = h(Q3B)

[0019] Accordingly, the second resource revenue function for the target project is constructed, including:

[0020] R 123 =k(Q1Q2Q3)

[0021] Among them, R1, R2, R3, R 123 Let f, g, h, and k be the first resource revenue of the upstream wind and solar power generation project, the first resource revenue of the midstream water electrolysis hydrogen production project, the first resource revenue of the downstream hydrogen-to-ammonia or alcohol project, and the second resource revenue of the target project, respectively; f, g, h, and k are the first resource revenue functions of the upstream wind and solar power generation project, the midstream water electrolysis hydrogen production project, the downstream hydrogen-to-ammonia or alcohol project, and the target project, respectively; Q1, Q2, and Q3 are the design parameters of the upstream wind and solar power generation project, the midstream water electrolysis hydrogen production project, and the downstream hydrogen-to-ammonia or alcohol project, respectively; A is electrical energy; and B is hydrogen energy.

[0022] In some embodiments, the first constraint condition mentioned above includes: R1≥R 1_min R2≥R 2_min R3≥R 3_min The second constraint includes: R 123 ≥R 123_min .

[0023] In some embodiments, the above method further includes:

[0024] Determine whether the solution to the second resource revenue function satisfies the second constraint condition;

[0025] If not, adjust the design parameters corresponding to each sub-project until the solution of the second resource revenue function satisfies the second constraint condition.

[0026] In some embodiments, the above-mentioned solution of the first resource revenue function based on the first constraint, and the determination of the data resource quantity range of the intermediate product based on the solution result of the first resource revenue function, includes:

[0027] Based on R1≥R 1_min Given the constraints, solve R1 = f(Q1A) to obtain the first data resource quantity of electrical energy, which is less than the threshold of the first data resource quantity of electrical energy.

[0028] Based on R2≥R 2_min Under the constraint of the first data resource quantity of electrical energy, solve R2=g(Q2AB) to obtain the second data resource quantity of hydrogen energy, which is less than the threshold of the first data resource quantity of hydrogen energy;

[0029] Based on R3≥R 3_min Under the constraints, solve R3 = h(Q3B) to obtain the third data resource quantity of hydrogen energy. The third data resource quantity is greater than the second data resource quantity threshold of hydrogen energy, and the second data resource quantity threshold of hydrogen energy is greater than the first data resource quantity threshold of hydrogen energy.

[0030] Based on R2≥R 2_min Under the constraint of hydrogen energy, based on the second data resource quantity of hydrogen energy, solve R2 = g(Q2AB) to obtain the fourth data resource quantity of electrical energy. The fourth data resource quantity is greater than the second data resource quantity threshold of electrical energy, and the second data resource quantity threshold of electrical energy is greater than the first data resource quantity threshold of electrical energy.

[0031] Based on the first and fourth data resource quantities of electrical energy, the data resource quantity range of electrical energy is determined. Based on the second and third data resource quantities of hydrogen energy, the data resource quantity range of hydrogen energy is determined.

[0032] In some embodiments, the above method further includes:

[0033] Determine whether the first data resource quantity of electrical energy is greater than the fourth data resource quantity of electrical energy or whether the second data resource quantity of hydrogen energy is greater than the third data resource quantity of hydrogen energy. If so, adjust the design parameters of each sub-project.

[0034] Secondly, embodiments of this specification also provide an intermediate data processing device for a target industry chain, wherein the target industry chain includes upstream, midstream, and downstream sub-projects under a target project, and each sub-project has corresponding intermediate products; the device includes:

[0035] The module is used to construct the first resource revenue function for each sub-project based on the intermediate products, design parameters, and first resource revenue corresponding to each sub-project, and to construct the second resource revenue function for the target project based on the design parameters of each sub-project under the target project and the second resource revenue of the target project.

[0036] The constraint module is used to determine the first constraint condition corresponding to the first resource revenue function and the second constraint condition corresponding to the second resource revenue function.

[0037] The data processing module is used to solve the second resource quantity revenue function. When the solution result of the second resource quantity revenue function satisfies the second constraint condition, the first resource quantity revenue function is solved based on the first constraint condition. The data resource quantity range of the intermediate product is determined according to the solution result of the first resource quantity revenue function.

[0038] Thirdly, embodiments of this specification also provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the intermediate data processing method for the target industry chain described in the above embodiments.

[0039] Fourthly, embodiments of this specification also provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the intermediate data processing method for the target industry chain described in the above embodiments.

[0040] This specification provides an intermediate data processing method and apparatus for a target industry chain. The target industry chain may include upstream, midstream, and downstream sub-projects under a target project, each sub-project having corresponding intermediate products. First, a first resource revenue function for each sub-project is constructed based on its corresponding intermediate products, design parameters, and first resource revenue. A second resource revenue function for the target project is constructed based on its design parameters and second resource revenue. Then, a first constraint condition corresponding to the first resource revenue function and a second constraint condition corresponding to the second resource revenue function are determined. Finally, the second resource revenue function is solved. If the solution result of the second resource revenue function satisfies the second constraint condition, the first resource revenue function is solved again based on the first constraint condition. The data resource quantity range of the intermediate products is determined based on the solution result of the first resource revenue function. In this specification embodiment, by constructing the first resource revenue function for each sub-project based on its corresponding intermediate products, design parameters, and first resource revenue, it is convenient to subsequently determine the corresponding intermediate product data resource quantity range by solving the first resource revenue function for each sub-project. By constructing a second resource revenue function for the target project based on the design parameters of each sub-project and the second resource revenue amount of the target project, it is possible to determine the corresponding intermediate product data resource quantity range when the solution result of the second resource revenue function meets the second constraint condition, thus ensuring that the resource revenue quantity requirements of the target project are met. By determining the first constraint condition corresponding to the first resource revenue function and the second constraint condition corresponding to the second resource revenue function, the resource revenue function can be solved based on the constraints, accurately determining the data resource quantity range of intermediate products. This ensures that the resource revenue quantity corresponding to each sub-project and the target project always meets the requirements, thereby improving project processing efficiency and the operational efficiency of the industrial chain system, reducing energy conversion losses, and increasing the utilization rate of each piece of equipment in the industrial chain system. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0042] Figure 1 This is a flowchart illustrating an intermediate data processing method for a target industry chain provided in the embodiments of this specification;

[0043] Figure 2This is a schematic diagram illustrating an embodiment of an intermediate data processing method for a target industry chain provided in this specification, applied in a scenario example.

[0044] Figure 3 This is a schematic diagram of the structural composition of an intermediate data processing device for a target industry chain, provided in an embodiment of this specification.

[0045] Figure 4 This is a schematic diagram of the structural composition of the electronic device provided in the embodiments of this specification. Detailed Implementation

[0046] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments in this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0047] As mentioned earlier, in complex industrial chains, such as the "wind, solar, hydrogen, ammonia (alcohol) industrial chain" or the "wind, solar, hydrogen industrial chain," the amount of data resources (which can characterize the value of intermediate products) of intermediate products (such as electricity and hydrogen energy) directly affects the resource revenue of sub-projects and the overall project, thereby affecting the project's processing efficiency and the overall resource utilization rate of the industrial chain. However, existing technologies have the following technical shortcomings:

[0048] Static data processing: Existing methods cannot dynamically link the design parameters of upstream, midstream and downstream sub-projects (such as wind and solar power generation efficiency, electrolyzer energy consumption, ammonia synthesis reaction rate), resource revenue and intermediate products, resulting in rigid resource allocation.

[0049] Isolated optimization problem: The resource revenue function of each sub-project is not optimized in coordination with the overall industrial chain goal, which is prone to the contradiction of local optima but overall resource revenue not meeting the target.

[0050] Lack of feasible range constraints: The amount of data resources for intermediate products (such as fluctuations in the value of electricity and the balance between supply and demand of hydrogen energy) lacks dynamic range constraints based on technical parameters, leading to resource waste or equipment overload.

[0051] The aforementioned technical issues lead to low overall energy efficiency in the industry chain. For example, when the electrical energy input in the water electrolysis hydrogen production process is insufficient, hydrogen production drops sharply; when the hydrogen energy input in the downstream hydrogen-to-ammonia process exceeds the limit, the efficiency of the reaction equipment decreases.

[0052] To address the aforementioned problems, embodiments of this specification provide an intermediate data processing method and apparatus for a target industry chain. First, a first resource revenue function for each sub-project is constructed based on the intermediate products, design parameters, and first resource revenue amount corresponding to each sub-project. Then, a second resource revenue function for the target project is constructed based on the design parameters of each sub-project and the second resource revenue amount of the target project. Next, a first constraint condition corresponding to the first resource revenue function and a second constraint condition corresponding to the second resource revenue function are determined. Finally, the second resource revenue function is solved. If the solution result of the second resource revenue function satisfies the second constraint condition, the first resource revenue function is solved again based on the first constraint condition. The data resource quantity range of the intermediate products is determined based on the solution result of the first resource revenue function.

[0053] By using dynamic modeling (constructing the first resource revenue function for each sub-project and the second resource revenue function for the target project) and collaborative optimization (solving the function under two types of constraints), the feasible range of data resource quantity for intermediate products can be accurately determined, thereby improving the overall resource utilization rate of the industrial chain.

[0054] It should be noted that the terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate for the embodiments of this application described herein.

[0055] It is understood that the methods described in the embodiments of this specification can be applied to electronic devices, which can refer to electronic devices with data computing, processing, and storage capabilities. These electronic devices can be terminals such as PCs (Personal Computers), tablets, smartphones, wearable devices, and intelligent robots; they can also be servers. A server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0056] See Figure 1 As shown in the embodiments of this specification, an intermediate data processing method for a target industry chain is provided. The target industry chain includes upstream, midstream, and downstream sub-projects under a target project, and each sub-project has corresponding intermediate products. In specific implementation, the method may include the following:

[0057] S101: Based on the intermediate products, design parameters, and first resource revenue of each sub-project, construct the first resource revenue function of each sub-project; based on the design parameters of each sub-project under the target project and the second resource revenue of the target project, construct the second resource revenue function of the target project.

[0058] S102: Determine the first constraint condition corresponding to the first resource revenue function and the second constraint condition corresponding to the second resource revenue function;

[0059] S103: Solve the second resource quantity revenue function. When the solution result of the second resource quantity revenue function satisfies the second constraint condition, solve the first resource quantity revenue function based on the first constraint condition. Determine the data resource quantity range of the intermediate product based on the solution result of the first resource quantity revenue function.

[0060] Based on the above embodiments, by constructing a first resource revenue function (or first resource revenue function model) for each sub-project according to the intermediate products, design parameters, and first resource revenue amount corresponding to each sub-project, it is convenient to determine the corresponding intermediate product data resource amount range by solving the first resource revenue function of each sub-project. By constructing a second resource revenue function (or second resource revenue function model) for the target project according to the design parameters of each sub-project under the target project and the second resource revenue amount of the target project, it is convenient to determine the corresponding intermediate product data resource amount range only when the solution result of the second resource revenue function meets the second constraint condition, ensuring that the resource revenue amount requirement corresponding to the target project is met. By determining the first constraint condition corresponding to the first resource revenue function and the second constraint condition corresponding to the second resource revenue function, the resource revenue function can be solved based on the constraints, accurately determining the data resource amount range of intermediate products, ensuring that the resource revenue amount corresponding to each sub-project and the target project always meets the requirements, thereby improving project processing efficiency.

[0061] In some embodiments, the aforementioned upstream, midstream, and downstream sub-projects may include: an upstream wind and solar power generation project, a midstream water electrolysis hydrogen production project, and a downstream hydrogen-to-ammonia or alcohol production project; correspondingly, the intermediate products corresponding to each sub-project may include: electrical energy corresponding to the upstream wind and solar power generation project, electrical energy and hydrogen energy corresponding to the midstream water electrolysis hydrogen production project, and hydrogen energy corresponding to the downstream hydrogen-to-ammonia or alcohol production project.

[0062] Specifically, the target industrial chain can include upstream, midstream, and downstream sub-projects under the target project, such as upstream wind and solar power generation projects, midstream water electrolysis hydrogen production projects, and downstream hydrogen-to-ammonia or alcohol projects. The intermediate product of the upstream sub-project can be electricity, the intermediate products of the midstream water electrolysis hydrogen production project can be both electricity and hydrogen, and the intermediate product of the downstream hydrogen-to-ammonia or alcohol project can be hydrogen. The target industrial chain can be a complex chain of wind and solar resources – electricity – hydrogen – ammonia (alcohol). The target project can be the entire project. Upstream sub-projects represent the initial stage of the target industrial chain, midstream sub-projects represent intermediate links, and downstream sub-projects represent the final stage. Upstream, midstream, and downstream sub-projects can belong to different industries, and their corresponding resource revenue requirements also differ.

[0063] In some embodiments, the function for constructing the first resource revenue of each sub-project in S101 above may, in specific implementation, include:

[0064] Construct the first resource revenue function for upstream wind and solar power generation projects according to the following formula:

[0065] R1 = f(Q1A)

[0066] Construct the first resource revenue function for the midstream water electrolysis hydrogen production project according to the following formula:

[0067] R² = g(Q²AB)

[0068] Construct the first resource revenue function for downstream hydrogen-to-ammonia or alcohol production projects according to the following formula:

[0069] R3 = h(Q3B)

[0070] Accordingly, the second resource revenue function for constructing the target project in S101 above can, in specific implementation, include:

[0071] R 123 =k(Q1Q2Q3)

[0072] Among them, R1, R2, R3, R 123Let f, g, h, and k be the first resource revenue of the upstream wind and solar power generation project, the first resource revenue of the midstream water electrolysis hydrogen production project, the first resource revenue of the downstream hydrogen-to-ammonia or alcohol project, and the second resource revenue of the target project, respectively; f, g, h, and k are the first resource revenue functions of the upstream wind and solar power generation project, the midstream water electrolysis hydrogen production project, the downstream hydrogen-to-ammonia or alcohol project, and the target project, respectively; Q1, Q2, and Q3 are the design parameters of the upstream wind and solar power generation project, the midstream water electrolysis hydrogen production project, and the downstream hydrogen-to-ammonia or alcohol project, respectively; A is electrical energy; and B is hydrogen energy.

[0073] Specifically, based on the intermediate product electricity A corresponding to the upstream wind and solar power project and the design parameters Q1 corresponding to the upstream wind and solar power project, the first resource revenue function f of the upstream wind and solar power project can be constructed according to the following formula, and the first resource revenue R1 of the upstream wind and solar power project can be determined based on f:

[0074] R1 = f(Q1A)

[0075] Based on the intermediate products electrical energy A and hydrogen energy B corresponding to the midstream water electrolysis hydrogen production project, and the design parameter Q2 corresponding to the midstream water electrolysis hydrogen production project, the first resource revenue function g of the midstream water electrolysis hydrogen production project can be constructed according to the following formula, and the first resource revenue R2 of the midstream water electrolysis hydrogen production project can be determined based on g:

[0076] R² = g(Q²AB)

[0077] Based on the intermediate product hydrogen energy B and the design parameters Q3 of the downstream hydrogen-to-ammonia or alcohol project, the first resource revenue function h of the downstream hydrogen-to-ammonia or alcohol project can be constructed according to the following formula, and the first resource revenue R3 of the downstream hydrogen-to-ammonia or alcohol project can be determined based on h:

[0078] R3 = h(Q3B)

[0079] Based on the design parameters Q1 of the upstream wind and solar power project, Q2 of the midstream water electrolysis hydrogen production project, and Q3 of the downstream hydrogen-to-ammonia or alcohol production project, the second resource revenue function k of the target project can be constructed according to the following formula, and the second resource revenue R of the target project can be determined based on k. 123 :

[0080] R 123 =k(Q1Q2Q3)

[0081] The design parameters Q1, Q2, and Q3 for each sub-project are different, but the design parameters can be dynamically adjusted to ensure that the data resource volume range of the final determined intermediate product can meet the resource revenue requirements of each sub-project and the target project.

[0082] Design parameter Q1 may include at least one of the following: wind and solar resource parameters (such as light intensity and wind speed), equipment selection (such as photovoltaic panel conversion efficiency), land cost, and operation and maintenance costs. Design parameter Q2 may include at least one of the following: electrolyzer efficiency, catalyst cost, and hydrogen purity requirements. Design parameter Q3 may include at least one of the following: ammonia synthesis reaction efficiency, storage and transportation costs, and market price fluctuation coefficient.

[0083] Among these, the conversion relationship between electrical energy and hydrogen energy can be dynamically correlated through R2=g(Q2AB), and the balance between ammonia production and hydrogen energy consumption can be optimized through R3=h(Q3B). 123 =k(Q1Q2Q3) achieves global optimization of resource revenue across the entire industry chain.

[0084] In some embodiments, the first constraint condition in S102 above may include: R1≥R 1_min R2≥R 2_min R3≥R 3_min The second constraint may include: R 123 ≥R 123_min .

[0085] Specifically, the first constraint condition of the first resource revenue function f corresponding to the upstream wind and solar power generation project can be R1≥R 1_min The first constraint condition for the first resource revenue function g corresponding to the midstream water electrolysis hydrogen production project can be R² ≥ R. 2_min The first constraint condition for the first resource revenue function h corresponding to downstream hydrogen-to-ammonia or alcohol production projects can be R3 ≥ R. 3_min The second constraint condition of the second resource revenue function k corresponding to the target project can be R. 123 ≥R 123_min Among them, R 1_min R 2_min R 3_min R 123_min These are the minimum first resource revenue of the upstream wind and solar power generation project, the minimum first resource revenue of the midstream water electrolysis hydrogen production project, the minimum first resource revenue of the downstream hydrogen to ammonia or alcohol project, and the minimum second resource revenue of the target project.

[0086] In some embodiments, after solving the second resource quantity revenue function in S103 above, the specific implementation may further include:

[0087] Determine whether the solution to the second resource revenue function satisfies the second constraint condition;

[0088] If not, adjust the design parameters corresponding to each sub-project until the solution of the second resource revenue function satisfies the second constraint condition.

[0089] Specifically, after solving for the second resource revenue function k, it can be determined whether the solution to the second resource revenue function k satisfies R. 123 ≥R 123_min If R is not satisfied 123 ≥R 123_min Then you can adjust Q1, Q2, Q3, until R... 123 ≥R 123_m If R is satisfied 123 ≥R 123_m It can be based on the first constraint condition, such as: R1≥R 1_mi R2≥R 2_min R3≥R 3_min The first resource revenue function *f* for upstream wind and solar power generation, the first resource revenue function *g* for midstream water electrolysis hydrogen production, and the first resource revenue function *h* for downstream hydrogen-to-ammonia or alcohol production are solved. Based on the solution of the first resource revenue function, the data resource quantity range of intermediate products is determined. This ensures that the data resource quantity of intermediate products within the data resource quantity range satisfies R. 123 ≥R 123_min R1≥R 1_min R2≥R 2_min R3≥R 3_min Requirements.

[0090] By setting constraints for each sub-project: R1≥R 1_min R2≥R 2_min R3≥R 3_min This ensures that resource revenue targets are met at each stage. This is achieved by setting target project constraints: R 123 ≥R 123_min This can guarantee the lower limit of overall resource income, and achieve the optimal solution under constraints by iteratively adjusting Q1, Q2, and Q3.

[0091] In some embodiments, the constraint based on the first constraint condition in S103 above, solving the first resource revenue function, and determining the data resource quantity range of the intermediate product based on the solution result of the first resource revenue function, may include, in specific implementation:

[0092] Based on R1≥R 1_min Given the constraints, solve R1 = f(Q1A) to obtain the first data resource quantity of electrical energy, which is less than the threshold of the first data resource quantity of electrical energy.

[0093] Based on R2≥R 2_minUnder the constraint of the first data resource quantity of electrical energy, solve R2=g(Q2AB) to obtain the second data resource quantity of hydrogen energy, which is less than the threshold of the first data resource quantity of hydrogen energy;

[0094] Based on R3≥R 3_min Under the constraints, solve R3 = h(Q3B) to obtain the third data resource quantity of hydrogen energy. The third data resource quantity is greater than the second data resource quantity threshold of hydrogen energy, and the second data resource quantity threshold of hydrogen energy is greater than the first data resource quantity threshold of hydrogen energy.

[0095] Based on R2≥R 2_min Under the constraint of hydrogen energy, based on the second data resource quantity of hydrogen energy, solve R2 = g(Q2AB) to obtain the fourth data resource quantity of electrical energy. The fourth data resource quantity is greater than the second data resource quantity threshold of electrical energy, and the second data resource quantity threshold of electrical energy is greater than the first data resource quantity threshold of electrical energy.

[0096] Based on the first and fourth data resource quantities of electrical energy, the data resource quantity range of electrical energy is determined. Based on the second and third data resource quantities of hydrogen energy, the data resource quantity range of hydrogen energy is determined.

[0097] Specifically, in satisfying R 123 ≥R 123_min When this is the case, we can solve for R1 = f(Q1A) based on the constraint R1. That is, we need to find a constraint that makes R1 = f(Q1A) ≥ R. 1_min We obtain the first data resource quantity of electrical energy A, where the first data resource quantity is less than the threshold of the first data resource quantity of electrical energy. That is, we solve for R1 = f(Q1A) ≥ R. 1_min At that time, the minimum amount of data resources for obtaining electrical energy A can be obtained.

[0098] Based on the constraint R2, and according to the minimum data resource quantity of electrical energy A, we can solve for R2 = g(Q2AB). That is, make R2 = g(Q2AB) ≥ R 2_min Based on the minimum data resource quantity of electrical energy A, the second data resource quantity of hydrogen energy B is obtained, where the second data resource quantity is less than the first data resource quantity threshold of hydrogen energy. That is, based on the minimum data resource quantity of electrical energy A, we can solve for R² = g(Q²AB) ≥ R. 2_min At that time, the minimum amount of data resources for hydrogen energy B can be obtained.

[0099] Based on the constraint R3, we can solve for R3 = h(Q3B). That is, we need to find a solution that makes R3 = h(Q3B) ≥ R. 3_min The third data resource quantity of hydrogen energy B is obtained, where the third data resource quantity is greater than the second data resource quantity threshold of hydrogen energy, and the second data resource quantity threshold of hydrogen energy is greater than the first data resource quantity threshold of hydrogen energy. That is, solving R3 = h(Q3B) ≥ R3_min At that time, the maximum amount of data resources for hydrogen energy B can be obtained.

[0100] Based on the constraint R2, and according to the maximum data resource quantity of hydrogen energy B, we can solve for R2 = g(Q2AB). That is, we need to make R2 = g(Q2AB) ≥ R 2_min Based on the maximum data resource quantity of hydrogen energy B, the fourth data resource quantity of electrical energy A is obtained, where the fourth data resource quantity is greater than the second data resource quantity threshold of electrical energy. That is, based on the maximum data resource quantity of hydrogen energy B, we can solve for R² = g(Q²AB) ≥ R. 2_min At that time, the maximum amount of data resources for electrical energy A can be obtained.

[0101] Finally, based on the first data resource quantity of electrical energy A (the minimum data resource quantity of electrical energy A) and the fourth data resource quantity of electrical energy A (the maximum data resource quantity of electrical energy A), the data resource quantity range of electrical energy A can be determined as: [first data resource quantity of electrical energy A, fourth data resource quantity of electrical energy A]. Similarly, based on the second data resource quantity of hydrogen energy B (the minimum data resource quantity of hydrogen energy B) and the third data resource quantity of hydrogen energy B (the maximum data resource quantity of hydrogen energy B), the data resource quantity range of hydrogen energy B can be determined as: [minimum data resource quantity of hydrogen energy B, maximum data resource quantity of hydrogen energy B].

[0102] The threshold values ​​for the first data resource quantity of electrical energy, the first data resource quantity of hydrogen energy, the second data resource quantity of hydrogen energy, and the second data resource quantity of electrical energy can be set according to actual needs, and this specification does not impose specific limitations on them.

[0103] By solving functions based on constraints, data resource intervals for electrical energy and hydrogen energy (e.g., A∈[A]) can be dynamically generated. min A max ]、B∈[B min B max This system guides resource allocation in actual production. Dynamic range constraints prevent power overload or hydrogen shortages, improve wind and solar power efficiency, and reduce energy consumption for hydrogen production via water electrolysis. Simultaneously, it ensures coordinated achievement of resource revenue targets for both sub-projects and the target project, improving overall project profitability. By defining the data resource quantity range for intermediate products, the system can dynamically adjust the data resource quantity (e.g., the value of electricity and hydrogen) within this range based on actual needs during project operation. This ensures that the resource revenue (e.g., investment rate) for each sub-project and the overall project consistently meets requirements, thereby enabling timely project progress and processing, and improving project efficiency.

[0104] In some embodiments, after S103 above, in specific implementation, it may further include:

[0105] Determine whether the first data resource quantity of electrical energy is greater than the fourth data resource quantity of electrical energy or whether the second data resource quantity of hydrogen energy is greater than the third data resource quantity of hydrogen energy. If so, adjust the design parameters of each sub-project.

[0106] Specifically, if the first data resource quantity of electrical energy is greater than the fourth data resource quantity of electrical energy, i.e., A _min >A _max Or whether the second data resource quantity of hydrogen energy is greater than the third data resource quantity of hydrogen energy, i.e., B. _min >B _m This can trigger a design parameter adjustment warning, allowing adjustment of the design parameters for each sub-project to make A _min <A _max B _min <B _max This ensures the accuracy of the data resource range for intermediate products.

[0107] In some embodiments, a visual interface can be used to display the range of data resources for intermediate products, enabling project leaders to understand the feasible range of data resources for intermediate products in a timely manner and advance the project promptly.

[0108] In some embodiments, by constructing a first resource revenue function model for each sub-project and a second resource revenue function model for the overall project, and setting constraints for optimization, the data resource quantity range of intermediate products is finally output. This range can be directly applied to the adjustment of equipment parameters in the target industrial chain, specifically to adjust the power output of wind and solar power generation equipment, set the operating parameters of water electrolysis hydrogen production equipment, and control the feeding ratio of hydrogen to ammonia reactor, thereby achieving optimized operation of the entire industrial chain system. This can improve the operating efficiency of the industrial chain system, reduce energy conversion losses, and increase the utilization rate of each piece of equipment in the industrial chain system (such as wind and solar power generation equipment, water electrolysis hydrogen production equipment, and hydrogen to ammonia reactor).

[0109] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on describing the differences from other embodiments. For details, please refer to the foregoing descriptions of the relevant processing embodiments; they will not be repeated here.

[0110] The foregoing description of this method is for illustrative purposes only and describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims may be performed in a different order than those shown in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0111] In a specific implementation scenario, refer to Figure 2 As shown, the target industrial chain may include sub-projects 1, 2, and 3, belonging to different industries. Each sub-project (1, 2, and 3) corresponds to a different minimum resource revenue level (e.g., minimum investment return rates of 7%, 8%, and 10%, respectively), and the minimum resource revenue level for the overall project is 8%. First, it can be determined whether the overall resource revenue level for the project reaches 8%. If not, one or more design parameters can be adjusted. The specific parameter to be adjusted can be set according to actual needs; this specification does not specify a particular parameter. If it reaches 8%, the minimum data resource quantity for electrical energy can be determined when sub-project 1 reaches 7%. Based on the minimum data resource quantity for electrical energy, the minimum data resource quantity for hydrogen energy can be determined when sub-project 2 reaches 8%. Similarly, the maximum data resource quantity for hydrogen energy can be determined when sub-project 3 reaches 10%. Based on the maximum data resource quantity for hydrogen energy, the maximum data resource quantity for electrical energy can be determined when sub-project 2 reaches 8%. Finally, while satisfying the overall resource revenue of the project and the resource revenue of each sub-project, the feasible resource quantity range of intermediate products such as electricity and hydrogen energy can be accurately determined.

[0112] In a specific implementation scenario, one of the above-mentioned intermediate data processing methods for the target industry chain can be applied to achieve synergistic optimization of wind and solar power generation and electrolysis hydrogen production:

[0113] 1. Input parameters:

[0114] Upstream engineering: Q1 = 0.85 (photovoltaic conversion efficiency 85%), R 1_min =1000kWh.

[0115] Midstream process: Q2 = 0.75 (electrolysis efficiency 75%), R 2_min =750kg H2

[0116] Downstream process: Q3 = 0.90 (ammonia synthesis efficiency 90%), R 3_min =600kg NH3

[0117] Target Project: R123_min =Comprehensive income of 5000 units.

[0118] 2. Solution process:

[0119] Step 1: Solve for R 123 =k(Q1Q2Q3)≥5000, verify whether the global constraint is satisfied.

[0120] Step 2: If satisfied, solve for R1≥1000, R2≥750, and R3≥6000 in sequence to obtain the electrical energy range A∈[1050,1250]kWh and the hydrogen energy range B∈[720,850]kg.

[0121] Step 3: Dynamically adjust Q1, Q2, and Q3 (e.g., increase the tilt angle of the photovoltaic panel to optimize Q1) to ensure the effectiveness of the interval.

[0122] Effect verification:

[0123] After operating within the above range for one month, the energy consumption of the electrolyzer decreased by 10%, and the production of synthetic ammonia increased steadily by 8%.

[0124] Although this specification provides the following examples or appendices Figure 3 The method or apparatus structure shown may include more or fewer combined operation steps or module units based on conventional or non-creative labor. In steps or structures where there is no logically necessary causal relationship, the execution order of these steps or the module structure of the apparatus is not limited to the execution order or module structure shown in the embodiments or drawings of this specification. When the method or module structure is applied in actual devices, servers, or terminal products, it can be executed sequentially or in parallel according to the method or module structure shown in the embodiments or drawings (e.g., in a parallel processor or multi-threaded processing environment, or even a distributed processing or server cluster implementation environment). Based on the above-described intermediate data processing method for a target industry chain, this specification also proposes an embodiment of an intermediate data processing apparatus for a target industry chain, where the target industry chain includes upstream, midstream, and downstream sub-projects under a target project, and each sub-project has corresponding intermediate products. For example... Figure 3 As shown, the device may specifically include the following modules:

[0125] The construction module 301 can be used to construct the first resource revenue function of each sub-project based on the intermediate products, design parameters and first resource revenue corresponding to each sub-project, and to construct the second resource revenue function of the target project based on the design parameters of each sub-project under the target project and the second resource revenue of the target project.

[0126] The constraint module 302 can be used to determine the first constraint condition corresponding to the first resource revenue function and the second constraint condition corresponding to the second resource revenue function.

[0127] The data processing module 303 can be used to solve the second resource quantity revenue function. When the solution result of the second resource quantity revenue function satisfies the second constraint condition, the first resource quantity revenue function is solved based on the first constraint condition. The data resource quantity range of the intermediate product is determined according to the solution result of the first resource quantity revenue function.

[0128] In some embodiments, the aforementioned upstream, midstream, and downstream sub-projects may include: an upstream wind and solar power generation project, a midstream water electrolysis hydrogen production project, and a downstream hydrogen-to-ammonia or alcohol production project; correspondingly, the intermediate products corresponding to each sub-project may include: electrical energy corresponding to the upstream wind and solar power generation project, electrical energy and hydrogen energy corresponding to the midstream water electrolysis hydrogen production project, and hydrogen energy corresponding to the downstream hydrogen-to-ammonia or alcohol production project.

[0129] In some embodiments, the above-mentioned construction module 301 can be specifically used to construct a first resource revenue function for upstream wind and solar power generation projects according to the following formula:

[0130] R1 = f(Q1A)

[0131] Construct the first resource revenue function for the midstream water electrolysis hydrogen production project according to the following formula:

[0132] R² = g(Q²AB)

[0133] Construct the first resource revenue function for downstream hydrogen-to-ammonia or alcohol production projects according to the following formula:

[0134] R3 = h(Q3B)

[0135] Accordingly, the second resource revenue function for the target project can include:

[0136] R 123 =k(Q1Q2Q3)

[0137] Among them, R1, R2, R3, R 123 Let f, g, h, and k be the first resource revenue of the upstream wind and solar power generation project, the first resource revenue of the midstream water electrolysis hydrogen production project, the first resource revenue of the downstream hydrogen-to-ammonia or alcohol project, and the second resource revenue of the target project, respectively; f, g, h, and k are the first resource revenue functions of the upstream wind and solar power generation project, the midstream water electrolysis hydrogen production project, the downstream hydrogen-to-ammonia or alcohol project, and the target project, respectively; Q1, Q2, and Q3 are the design parameters of the upstream wind and solar power generation project, the midstream water electrolysis hydrogen production project, and the downstream hydrogen-to-ammonia or alcohol project, respectively; A is electrical energy; and B is hydrogen energy.

[0138] In some embodiments, the first constraint condition in the constraint module 302 may include: R1≥R 1_min R2≥R 2_min R3≥R 3_min The second constraint condition may include: R 123 ≥R 123_min .

[0139] In some embodiments, the data processing module 303 may also be used to determine whether the solution result of the second resource revenue function satisfies the second constraint condition; if not, adjust the design parameters corresponding to each sub-item project until the solution result of the second resource revenue function satisfies the second constraint condition.

[0140] In some embodiments, the data processing module 303 described above can be specifically used based on R1≥R 1_min Given the constraints, solve R1 = f(Q1A) to obtain the first data resource quantity of electrical energy, which is less than the threshold of the first data resource quantity of electrical energy.

[0141] Based on R2≥R 2_min Under the constraint of the first data resource quantity of electrical energy, solve R2=g(Q2AB) to obtain the second data resource quantity of hydrogen energy, which is less than the threshold of the first data resource quantity of hydrogen energy;

[0142] Based on R3≥R 3_min Under the constraints, solve R3 = h(Q3B) to obtain the third data resource quantity of hydrogen energy. The third data resource quantity is greater than the second data resource quantity threshold of hydrogen energy, and the second data resource quantity threshold of hydrogen energy is greater than the first data resource quantity threshold of hydrogen energy.

[0143] Based on R2≥R 2_min Under the constraint of hydrogen energy, based on the second data resource quantity of hydrogen energy, solve R2 = g(Q2AB) to obtain the fourth data resource quantity of electrical energy. The fourth data resource quantity is greater than the second data resource quantity threshold of electrical energy, and the second data resource quantity threshold of electrical energy is greater than the first data resource quantity threshold of electrical energy.

[0144] Based on the first and fourth data resource quantities of electrical energy, the data resource quantity range of electrical energy is determined. Based on the second and third data resource quantities of hydrogen energy, the data resource quantity range of hydrogen energy is determined.

[0145] In some embodiments, the data processing module 303 may further be used to determine whether the first data resource quantity of electrical energy is greater than the fourth data resource quantity of electrical energy or whether the second data resource quantity of hydrogen energy is greater than the third data resource quantity of hydrogen energy. If so, the design parameters of each sub-project shall be adjusted.

[0146] As can be seen from the above, the intermediate data processing device for the target industry chain provided in the embodiments of this specification can accurately determine the data resource volume range of intermediate products, ensuring that the resource revenue corresponding to the target project and each sub-project always meets the requirements.

[0147] This specification also provides an electronic device based on the above-described intermediate data processing method for a target industry chain. The target industry chain includes upstream, midstream, and downstream sub-projects under a target project. Each sub-project has corresponding intermediate products, including a processor and a memory for storing processor-executable programs / instructions. In specific implementation, the processor can perform the following steps according to the program / instructions: constructing a first resource revenue function for each sub-project based on the intermediate products, design parameters, and first resource revenue amount corresponding to each sub-project; constructing a second resource revenue function for the target project based on the design parameters of each sub-project under the target project and the second resource revenue amount of the target project; determining the first constraint condition corresponding to the first resource revenue function and the second constraint condition corresponding to the second resource revenue function; solving the second resource revenue function; when the solution result of the second resource revenue function satisfies the second constraint condition, solving the first resource revenue function again based on the constraints of the first constraint condition; and determining the data resource quantity range of the intermediate products based on the solution result of the first resource revenue function.

[0148] To execute the above instructions more accurately, please refer to... Figure 4 As shown in the embodiments of this specification, another specific electronic device is also provided, wherein the electronic device includes a network communication port 401, a processor 402 and a memory 403, and the above structures are connected by internal cables so that the various structures can perform specific data interaction.

[0149] Specifically, the processor 402 can be used to construct a first resource revenue function for each sub-project based on the intermediate products, design parameters, and first resource revenue corresponding to each sub-project; construct a second resource revenue function for the target project based on the design parameters of each sub-project under the target project and the second resource revenue of the target project; determine the first constraint condition corresponding to the first resource revenue function and the second constraint condition corresponding to the second resource revenue function; solve the second resource revenue function; when the solution result of the second resource revenue function satisfies the second constraint condition, solve the first resource revenue function based on the constraint of the first constraint condition; and determine the data resource quantity range of the intermediate products based on the solution result of the first resource revenue function.

[0150] The memory 403 can be used to store the corresponding instruction program.

[0151] In this embodiment, the network communication port 401 can be a virtual port bound to different communication protocols, thereby enabling the sending or receiving of different data. For example, the network communication port can be a port responsible for web data communication, a port responsible for FTP data communication, or a port responsible for email data communication. Furthermore, the network communication port can also be a physical communication interface or communication chip. For example, it can be a wireless mobile network communication chip, such as GSM or CDMA; it can also be a Wi-Fi chip; or it can be a Bluetooth chip.

[0152] In this embodiment, the processor 402 can be implemented in any suitable manner. For example, the processor can take the form of a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro)processor, logic gates, switches, application-specific integrated circuits (ASICs), programmable logic controllers, and embedded microcontrollers, etc. This specification is not limiting.

[0153] In this embodiment, the memory 403 may include multiple layers. In a digital system, anything that can store binary data can be a memory. In an integrated circuit, a circuit with storage function but no physical form is also called a memory, such as RAM, FIFO, etc. In a system, a storage device with a physical form is also called a memory, such as a memory stick, TF card, etc.

[0154] This specification also provides a computer storage medium based on the above-described intermediate data processing method for a target industry chain. The target industry chain includes upstream, midstream, and downstream sub-projects under a target project, each sub-project having corresponding intermediate products. The computer storage medium stores computer programs / instructions, which, when executed, implement the following: constructing a first resource revenue function for each sub-project based on the corresponding intermediate products, design parameters, and a first resource revenue amount; constructing a second resource revenue function for the target project based on the design parameters of each sub-project under the target project and a second resource revenue amount for the target project; determining a first constraint condition corresponding to the first resource revenue function and a second constraint condition corresponding to the second resource revenue function; solving the second resource revenue function; when the solution result of the second resource revenue function satisfies the second constraint condition, solving the first resource revenue function again based on the constraints of the first constraint condition; and determining the data resource quantity range of the intermediate products based on the solution result of the first resource revenue function.

[0155] In this embodiment, the storage medium includes, but is not limited to, Random Access Memory (RAM), Read-Only Memory (ROM), cache, hard disk drive (HDD), or memory card. The memory can be used to store computer program instructions. The network communication unit can be an interface configured according to standards specified in the communication protocol for network connection communication.

[0156] In this embodiment, the specific functions and effects implemented by the program instructions stored in the computer storage medium can be explained in comparison with other implementation methods, and will not be repeated here.

[0157] While this specification provides the steps of operation for the methods described in the embodiments or flowcharts, more or fewer steps may be included based on conventional or non-inventive means. The order of steps listed in the embodiments is merely one possible order of execution among many steps and does not represent the only possible order. In actual device or client product execution, the methods shown in the embodiments or drawings may be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment, or even a distributed data processing environment). The terms "comprising," "including," or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, product, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, product, or apparatus. Without further limitations, the presence of other identical or equivalent elements in a process, method, product, or apparatus that includes said elements is not excluded. The terms "first," "second," etc., are used to denote names and do not indicate any particular order.

[0158] Those skilled in the art will also know that, besides implementing the controller using purely computer-readable program code, the same functions can be achieved by logically programming the method steps, making the controller function as logic gates, switches, application-specific integrated circuits (ASICs), programmable logic controllers (PLCs), and embedded microcontrollers. Therefore, such a controller can be considered a hardware component, and the devices within it used to implement various functions can also be considered structures within that hardware component. Alternatively, the devices used to implement various functions can be considered as both software modules implementing the method and structures within a hardware component.

[0159] This specification can be described in the general context of computer-executable instructions that are executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, classes, etc., that perform a specific task or implement a specific abstract data type. This specification can also be practiced in distributed computing environments, where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0160] As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that this specification can be implemented by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solutions of this specification can essentially be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, mobile terminal, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments of this specification.

[0161] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on its differences from other embodiments. This specification can be used in numerous general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable electronic devices, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices, etc.

[0162] Although this specification has been described by way of examples, those skilled in the art will recognize that many variations of this specification are possible without departing from its spirit, and it is intended that the appended claims cover such variations without departing from the spirit of this specification.

Claims

1. A method for processing intermediate data in a target industry chain, characterized in that, The target industrial chain includes upstream, midstream, and downstream sub-projects under the target project, and each sub-project has corresponding intermediate products. The method includes: Based on the intermediate products, design parameters, and first resource revenue of each sub-project, construct the first resource revenue function of each sub-project; based on the design parameters of each sub-project under the target project and the second resource revenue of the target project, construct the second resource revenue function of the target project. Determine the first constraint condition corresponding to the first resource revenue function and the second constraint condition corresponding to the second resource revenue function; Solve the second resource quantity revenue function. When the solution of the second resource quantity revenue function satisfies the second constraint condition, solve the first resource quantity revenue function based on the first constraint condition. Determine the data resource quantity range of the intermediate product based on the solution of the first resource quantity revenue function. The construction of the first resource revenue function for each sub-project includes: Construct the first resource revenue function for upstream wind and solar power generation projects according to the following formula: Construct the first resource revenue function for the midstream water electrolysis hydrogen production project according to the following formula: Construct the first resource revenue function for downstream hydrogen-to-ammonia or alcohol production projects according to the following formula: in, , , These are the first resource revenues from upstream wind and solar power generation projects, the first resource revenues from midstream water electrolysis hydrogen production projects, and the first resource revenues from downstream hydrogen-to-ammonia or alcohol production projects, respectively. , , These are the first resource revenue functions for upstream wind and solar power generation projects, midstream water electrolysis hydrogen production projects, and downstream hydrogen-to-ammonia or alcohol production projects, respectively. , , These are the design parameters for upstream wind and solar power generation projects, midstream water electrolysis hydrogen production projects, and downstream hydrogen-to-ammonia or alcohol production projects, respectively. For electrical energy; Hydrogen energy; The first constraint includes: , , ;in, , , These are the minimum first resource revenues of upstream wind and solar power generation projects, the minimum first resource revenues of midstream water electrolysis hydrogen production projects, and the minimum first resource revenues of downstream hydrogen-to-ammonia or alcohol production projects, respectively. The constraint based on the first constraint condition is used to solve the first resource revenue function, and the data resource quantity range of the intermediate product is determined based on the solution result of the first resource revenue function, including: based on Constraints, solve The first data resource quantity of electrical energy is obtained, and the first data resource quantity is less than the threshold of the first data resource quantity of electrical energy. based on Given the constraints, solve the problem based on the first data resource quantity of electrical energy. The second data resource quantity of hydrogen energy is obtained, and the second data resource quantity is less than the first data resource quantity threshold of hydrogen energy. based on Constraints, solve The third data resource quantity of hydrogen energy is obtained, which is greater than the second data resource quantity threshold of hydrogen energy, and the second data resource quantity threshold of hydrogen energy is greater than the first data resource quantity threshold of hydrogen energy. based on Given the constraints, and based on the second data resource quantity of hydrogen energy, solve for... The fourth data resource quantity of electrical energy is obtained, which is greater than the second data resource quantity threshold of electrical energy, and the second data resource quantity threshold of electrical energy is greater than the first data resource quantity threshold of electrical energy. Based on the first and fourth data resource quantities of electrical energy, the data resource quantity range of electrical energy is determined. Based on the second and third data resource quantities of hydrogen energy, the data resource quantity range of hydrogen energy is determined.

2. The intermediate data processing method according to claim 1, characterized in that, The upstream, midstream, and downstream sub-projects include: upstream wind and solar power generation, midstream water electrolysis for hydrogen production, and downstream hydrogen-to-ammonia or alcohol production. Correspondingly, the intermediate products of each sub-project include: electricity from the upstream wind and solar power generation project, electricity and hydrogen from the midstream water electrolysis for hydrogen production, and hydrogen from the downstream hydrogen-to-ammonia or alcohol production project.

3. The intermediate data processing method according to claim 1, characterized in that, The second resource revenue function for constructing the target project includes: in, The second resource revenue for the target project; The second resource revenue function for the target project; , , These are the design parameters for upstream wind and solar power generation projects, midstream water electrolysis hydrogen production projects, and downstream hydrogen-to-ammonia or alcohol production projects.

4. The intermediate data processing method according to claim 1, characterized in that, The second constraint includes: .

5. The intermediate data processing method according to claim 1, characterized in that, The method further includes: Determine whether the solution to the second resource revenue function satisfies the second constraint condition; If not, adjust the design parameters corresponding to each sub-project until the solution of the second resource revenue function satisfies the second constraint condition.

6. The intermediate data processing method according to claim 1, characterized in that, The method further includes: Determine whether the first data resource quantity of electrical energy is greater than the fourth data resource quantity of electrical energy or whether the second data resource quantity of hydrogen energy is greater than the third data resource quantity of hydrogen energy. If so, adjust the design parameters of each sub-project.

7. An intermediate data processing device for a target industry chain, characterized in that, The target industrial chain includes upstream, midstream, and downstream sub-projects under the target project, and each sub-project has corresponding intermediate products. The equipment includes: The module is used to construct the first resource revenue function for each sub-project based on the intermediate products, design parameters, and first resource revenue corresponding to each sub-project, and to construct the second resource revenue function for the target project based on the design parameters of each sub-project under the target project and the second resource revenue of the target project. The constraint module is used to determine the first constraint condition corresponding to the first resource revenue function and the second constraint condition corresponding to the second resource revenue function. The data processing module is used to solve the second resource quantity revenue function. When the solution result of the second resource quantity revenue function satisfies the second constraint condition, the first resource quantity revenue function is solved based on the first constraint condition. The data resource quantity range of the intermediate product is determined according to the solution result of the first resource quantity revenue function. The construction of the first resource revenue function for each sub-project includes: Construct the first resource revenue function for upstream wind and solar power generation projects according to the following formula: Construct the first resource revenue function for the midstream water electrolysis hydrogen production project according to the following formula: Construct the first resource revenue function for downstream hydrogen-to-ammonia or alcohol production projects according to the following formula: in, , , These are the first resource revenues from upstream wind and solar power generation projects, the first resource revenues from midstream water electrolysis hydrogen production projects, and the first resource revenues from downstream hydrogen-to-ammonia or alcohol production projects, respectively. , , These are the first resource revenue functions for upstream wind and solar power generation projects, midstream water electrolysis hydrogen production projects, and downstream hydrogen-to-ammonia or alcohol production projects, respectively. , , These are the design parameters for upstream wind and solar power generation projects, midstream water electrolysis hydrogen production projects, and downstream hydrogen-to-ammonia or alcohol production projects, respectively. For electrical energy; Hydrogen energy; The first constraint includes: , , ;in, , , These are the minimum first resource revenues of upstream wind and solar power generation projects, the minimum first resource revenues of midstream water electrolysis hydrogen production projects, and the minimum first resource revenues of downstream hydrogen-to-ammonia or alcohol production projects, respectively. The constraint based on the first constraint condition is used to solve the first resource revenue function, and the data resource quantity range of the intermediate product is determined based on the solution result of the first resource revenue function, including: based on Constraints, solve The first data resource quantity of electrical energy is obtained, and the first data resource quantity is less than the threshold of the first data resource quantity of electrical energy. based on Given the constraints, solve the problem based on the first data resource quantity of electrical energy. The second data resource quantity of hydrogen energy is obtained, and the second data resource quantity is less than the first data resource quantity threshold of hydrogen energy. based on Constraints, solve The third data resource quantity of hydrogen energy is obtained, which is greater than the second data resource quantity threshold of hydrogen energy, and the second data resource quantity threshold of hydrogen energy is greater than the first data resource quantity threshold of hydrogen energy. based on Given the constraints, and based on the second data resource quantity of hydrogen energy, solve for... The fourth data resource quantity of electrical energy is obtained, which is greater than the second data resource quantity threshold of electrical energy, and the second data resource quantity threshold of electrical energy is greater than the first data resource quantity threshold of electrical energy. Based on the first and fourth data resource quantities of electrical energy, the data resource quantity range of electrical energy is determined. Based on the second and third data resource quantities of hydrogen energy, the data resource quantity range of hydrogen energy is determined.

8. An electronic device, characterized in that, The method includes a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to implement the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the method according to any one of claims 1 to 6.

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