Method and system for generating comment report based on parameter management and model combination

Abstract

The invention provides an evaluation report generation method and system based on parameter management and model combination, and the method comprises the following steps: obtaining input data which comprises energy parameter data and model data; preset standard structure data tables are filled with the energy parameter data, a target database filled with data is obtained, and the number of the standard structure data tables is at least four; different modules in the model data are freely combined, and then energy parameters in the target database are called to obtain evaluated models of different energy combinations; and performing logic verification on the parameter dependency relationship in the evaluated model, and calculating and outputting economic evaluation results of different energy combinations after the verification succeeds. According to the invention, through database standardization design and a modularized model builder, the pain point of parameter management and combination in new energy economic evaluation is solved, innovativeness and practicability are achieved, and the evaluation efficiency and accuracy of complex energy projects are significantly improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and in particular relates to a method and system for generating an economic evaluation report based on parameter management and model combination. Background Art

[0002] With the continuous optimization and upgrading of the global energy structure, new energy types are also developing rapidly. Engineering projects are gradually transforming from traditional single energy forms to diversified energy combinations. Among them, new energy projects, such as photovoltaics, wind power, geothermal energy, etc., each have their own characteristics, and the economic evaluation indicators and evaluation methods involved also vary due to different energy types. Different energy forms have commonalities in economic evaluation, such as consideration of factors such as cost, benefit, and risk.

[0003] The economic evaluation of existing energy forms has the following problems:

[0004] (1) Parameter dispersion, where evaluation parameters for different energy types are stored independently, making horizontal comparison or integration difficult;

[0005] (2) Model rigidity, especially the inability of existing models to flexibly adapt to multi-energy combination scenarios, requiring repeated development;

[0006] (3) Over-reliance on manual labor. Parameter correlation and combination logic rely on manual experience, which is prone to errors and inefficient. Summary of the Invention

[0007] In view of the above-mentioned shortcomings of the prior art, the object of the present invention is to provide a method and system for generating an evaluation report based on parameter management and model combination, so as to solve the above-mentioned problems.

[0008] In a first aspect, the present invention provides a method for generating an evaluation report based on parameter management and model combination, the method comprising the following steps:

[0009] Acquiring input data, wherein the input data includes energy parameter data and model data;

[0010] Filling the energy parameter data into a preset standard structure data table to obtain a target database filled with data, wherein the standard structure data table includes at least four groups;

[0011] After freely combining different modules in the model data, energy parameters in the target database are called to obtain economic evaluation models of different energy combinations;

[0012] The parameter dependency in the economic evaluation model is logically verified, and after successful verification, the economic evaluation results of different energy combinations are calculated and output.

[0013] In a possible implementation of the present application, filling the energy parameter data into a preset standard structure data table to obtain a target database filled with data specifically includes:

[0014] Extracting the standard structure data table, wherein the standard structure data table includes a model parameter data table, a parameter value option data table, a unit option data table and a model dependency data table;

[0015] Filling the acquired energy parameter data into the standard structure data table to obtain the target database, which includes a model parameter database, a parameter value option database, a unit option database and a model dependency database, wherein:

[0016] The model parameter database includes fields representing parameter number, parameter name, parameter unit, unit type, parameter value, parameter value type, parameter category, and project type;

[0017] The parameter value option database includes fields representing parameter value options, parameter value option numbers, and the parameter numbers;

[0018] The unit option database includes fields representing unit options, unit option numbers, and parameter numbers;

[0019] The model dependency database includes fields representing dependency numbers, parameter numbers, and parameter value option numbers.

[0020] In a possible implementation of the present application, the unit type includes a unique type and a multiple-choice type, wherein the parameter value option database and the unit option database are used to record parameters of the multiple-choice type; the parameter categories include project information, construction investment, operating costs, power generation income, taxes and subsidies; the project types include wind power, photovoltaics, electrochemical energy storage and hydrogen energy.

[0021] In a possible implementation of the present application, when filling the energy parameter data into a preset standard structure data table, the steps specifically include:

[0022] Extracting the actual fields of the input energy parameter data;

[0023] Based on the actual fields, preset field mechanisms in different standard structure data tables are traversed to complete field matching, wherein parameter data corresponding to the successfully matched actual fields are filled into the corresponding data tables.

[0024] In a possible implementation of the present application, the freely combining different modules in the model data and then calling the energy parameters in the target database to obtain the economic evaluation models of different energy combinations specifically include:

[0025] Freely combining different modules in the model data, wherein the modules can be reused during the free combination process, and the modules specifically include energy types, parameter categories, and parameter sets;

[0026] Based on the different initial models after free combination, the energy parameters in the target database are called to fill in to obtain the economic evaluation model corresponding to the energy combination.

[0027] In a possible implementation of the present application, the logic verification of the parameter dependency in the economic evaluation model is performed, and after the verification is successful, the economic evaluation results of different energy combinations are calculated and output, specifically including:

[0028] Obtaining different parameter dependencies based on different dependency numbers in the evaluated model;

[0029] Perform dynamic logic verification based on the parameter dependency, the verification process including dependency check triggering and parameter integrity verification;

[0030] When the parameter verification is complete, the verification is successful, and after the verification is successful, parameter correlation calculation and multi-energy parameter integration are performed to obtain an evaluation report to be output as the economic evaluation result.

[0031] In a possible implementation of the present application, during the complete parameter verification, it is specifically verified whether the parameters in the parameter dependency relationship match the corresponding threshold value. If they do not match, the verification fails, otherwise the verification succeeds; when integrating multiple energy parameters, it includes aligning the different energy parameters in the evaluated model according to the time series and then discounting them to calculate the net present value.

[0032] In a second aspect, the present invention provides a system for generating an economic review report based on parameter management and model combination, the system comprising:

[0033] An acquisition module, configured to acquire input data, wherein the input data includes energy parameter data and model data;

[0034] A filling module, configured to fill the energy parameter data into a preset standard structure data table to obtain a target database filled with data, wherein the standard structure data table includes at least four groups;

[0035] A combination module, configured to freely combine different modules in the model data and then call the energy parameters in the target database to obtain evaluation models of different energy combinations;

[0036] The output module is used to perform a logical check on the dependency relationship of parameters in the economic evaluation model, and after successful verification, calculate and output the economic evaluation results of different energy combinations.

[0037] In a third aspect, the present invention provides an electronic device, comprising: a processor and a memory;

[0038] The memory is used to store computer programs;

[0039] The processor is used to execute the computer program stored in the memory, so that the electronic device executes the above-mentioned method for generating an evaluation report based on parameter management and model combination.

[0040] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by an electronic device, implements the above-mentioned method for generating an economic review report based on parameter management and model combination.

[0041] As described above, the economic evaluation report generation method and system based on parameter management and model combination described in the present invention have the following beneficial effects: through database standardization design and modular model builder, it solves the pain points of parameter management and combination in new energy economic evaluation, is both innovative and practical, and significantly improves the evaluation efficiency and accuracy of complex energy projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 Shown is a schematic diagram of a scene of an electronic device in an embodiment of the present invention;

[0043] Figure 2 Shown is a schematic diagram of the steps of an embodiment of a method for generating an economic review report based on parameter management and model combination according to the present invention;

[0044] Figure 3 Shown is a flow chart of an embodiment of a method for generating an economic review report based on parameter management and model combination according to the present invention;

[0045] Figure 4 Shown is a schematic diagram of an economic review model in one embodiment of the method for generating an economic review report based on parameter management and model combination of the present invention;

[0046] Figure 5 Shown is a flow chart of an embodiment of a method for generating an evaluation report based on parameter management and model combination according to the present invention;

[0047] Figure 6 Shown is a schematic structural diagram of an embodiment of a system for generating an economic review report based on parameter management and model combination according to the present invention;

[0048] Figure 7 FIG. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0049] The following describes the embodiments of the present invention through specific examples. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. The details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other unless they conflict.

[0050] It should be noted that the illustrations provided in the following embodiments are merely schematic illustrations of the basic concept of the present invention. Therefore, the illustrations only show components related to the present invention and are not drawn according to the number, shape, and size of components in actual implementation. In actual implementation, the type, quantity, and proportion of each component may be changed arbitrarily, and the component layout may also be more complex.

[0051] In addition, the descriptions of "first", "second", etc. in this application are for descriptive purposes only and should not be understood as indicating or implying their relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined as "first" or "second" may explicitly or implicitly include at least one of such features. In addition, the technical solutions between the various embodiments can be combined with each other, but this must be based on the fact that they can be implemented by ordinary technicians in this field. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0052] In order to overcome the shortcomings of the existing technology, this application proposes a method and system for generating economic evaluation reports based on parameter management and model combination. By deeply analyzing and integrating the similarities and differences of economic evaluations of different energy forms, a universal economic evaluation model is constructed. It will be able to adapt to the complexity of various energy combinations and realize the free combination and optimal configuration of economic evaluation parameters, thereby providing a more scientific and reasonable basis for decision-making in new energy engineering projects and promoting the healthy development of the new energy field. Specifically, Figure 1 As shown, the input end includes energy parameter data and model data. By managing the energy parameter data and freely combining different modules and then calling the data, the corresponding economic evaluation model can be obtained. Finally, the economic evaluation model is logically verified and the corresponding economic evaluation result is output.

[0053] Specifically, the technical solutions in the embodiments of the present invention will be described in detail below with reference to the accompanying drawings in the embodiments of the present invention.

[0054] like Figure 2 As shown, in one embodiment of the invention, the method for generating an economic evaluation report based on parameter management and model combination of the present invention includes the following steps:

[0055] Step S202: acquiring input data, wherein the input data includes energy parameter data and model data;

[0056] Step S204, filling the energy parameter data into a preset standard structure data table to obtain a target database filled with data, wherein the standard structure data table includes at least four groups;

[0057] Step S206, freely combining different modules in the model data and then calling the energy parameters in the target database to obtain economic evaluation models of different energy combinations;

[0058] Step S208: Performing a logic check on the dependency relationship of the parameters in the economic evaluation model, and calculating and outputting the economic evaluation results of different energy combinations after the check is successful.

[0059] It should be noted that, in this embodiment, the purpose of the present invention is to optimize the economic evaluation parameter management method, to facilitate the inclusion of economic evaluation parameters of new energy types in the economic evaluation model, and to realize the combination of economic evaluation models between different energy types. First, the input data input by the user end or other input end must be obtained, which corresponds to energy parameter data and model data. Further, the energy parameter data is filled into a preset standard structure data table to obtain a target database filled with data, wherein the standard structure data table includes at least four groups, and the specific types will be described in detail in the subsequent instructions. Furthermore, after freely combining different modules in the model data, the energy parameters in the target database are called to obtain economic evaluation models of different energy combinations. There are differences in the energy parameters called after the free combination of different modules. Therefore, it is necessary to perform logical verification on the parameter dependency relationship in the economic evaluation model, so that after the verification is successful, the economic evaluation results of different energy combinations are calculated and output.

[0060] Specifically, if Figure 3 As shown, it is displayed as a flow chart, including filling in four different data tables based on energy parameters to construct the model parameter data table, namely the "model_parameters" data table, the parameter value option data table, namely the "value_options" data table, the unit option data table, namely the "unit_options" data table, and the model dependency data table, namely the "model_dependencies" data table, to freely combine different modules. The combination process includes reusing the modules to obtain the final economic evaluation model, and finally performing a logical check on the parameter dependencies in the economic evaluation model, and performing economic evaluation calculations after the verification is successful, and finally outputting the economic evaluation results.

[0061] Furthermore, in one embodiment of the invention, the step of filling the energy parameter data into a preset standard structure data table to obtain a target database filled with data specifically includes:

[0062] Extracting the standard structure data table, wherein the standard structure data table includes a model parameter data table, a parameter value option data table, a unit option data table and a model dependency data table;

[0063] Filling the acquired energy parameter data into the standard structure data table to obtain the target database, which includes a model parameter database, a parameter value option database, a unit option database and a model dependency database, wherein:

[0064] The model parameter database includes fields representing parameter number, parameter name, parameter unit, unit type, parameter value, parameter value type, parameter category, and project type;

[0065] The parameter value option database includes fields representing parameter value options, parameter value option numbers, and the parameter numbers;

[0066] The unit option database includes fields representing unit options, unit option numbers, and parameter numbers;

[0067] The model dependency database includes fields representing dependency numbers, parameter numbers, and parameter value option numbers.

[0068] Furthermore, in one embodiment of the invention, the unit type includes a unique type and a multiple-choice type, wherein the parameter value option database and the unit option database are used to record parameters of the multiple-choice type; the parameter categories include project information, construction investment, operating costs, power generation income, taxes and subsidies; and the project types include wind power, photovoltaics, electrochemical energy storage and hydrogen energy.

[0069] It should be noted that, in this embodiment, the constructed target database is used to uniformly store the evaluated energy parameters. The above embodiment illustrates that the corresponding standard structure data tables include four data tables, namely, "model_parameters", "value_options", "unit_options", and "model_dependencies". Accordingly, the acquired energy parameter data is filled into the standard structure data tables to obtain the target database. The target database includes a model parameter database, a parameter value option database, a unit option database, and a model dependency database. The model parameter database includes fields representing parameter number, parameter name, parameter unit, unit type, parameter value, parameter value type, parameter category, and project type, namely, the "model_parameters" data table, which is respectively provided with "param_id", "param_name", "param_unit", "unit_type", "param_value", "value_type", "category_type", and "project_type" fields for recording parameter number, parameter name, parameter unit, unit type, parameter value, parameter value type, parameter category, and project type, respectively.

[0070] Furthermore, specifically, "unit_type" records the parameter unit type, which is divided into "unique" and "multiple choices"; "value_type" records the parameter value type, which is divided into "single value", "time series" and "multiple choices"; "category_type" records the parameter classification, which can be "project information", "construction investment", "operating cost", "power generation income", "tax", "subsidy", etc.; "project_type" indicates the project type, namely "wind power", "photovoltaic", "energy storage", "hydrogen energy", etc.

[0071] Furthermore, the parameter value option database includes fields representing parameter value options, parameter value option numbers and the parameter numbers. Specifically, the "value_options" data table records the options of the "multiple choice" parameters, and is respectively provided with "value_option", "value_option_id" and "param_id" fields, which are used to respectively record the option value, option number and the corresponding "param_id" in the "model_parameters" table.

[0072] The unit option database includes fields representing unit options, unit option numbers and parameter numbers. Specifically, the "unit_options" data table records the options of the "multiple choice" parameters, and is respectively provided with "unit_option", "unit_option_id" and "param_id" fields, which are used to respectively record the option value, option number and the corresponding "param_id" in the "model_parameters" table.

[0073] The model dependency database includes fields representing the dependency number, the parameter number and the parameter value option number. Specifically, the "model_dependencies" data table is provided with "dependency_id", "param_id" and "value_option_id" fields, which respectively represent the relevant number, the corresponding "param_id" in the "model_parameters" table, and the corresponding "value_option_id" in the "value_options".

[0074] Furthermore, in one embodiment of the invention, when filling the energy parameter data into a preset standard structure data table, the steps specifically include:

[0075] Extracting the actual fields of the input energy parameter data;

[0076] Based on the actual fields, the preset field mechanisms in different standard structure data tables are traversed to complete field matching, wherein the parameter data corresponding to the successfully matched actual fields are filled into the corresponding data tables.

[0077] It should be noted that, in this embodiment, when filling, field matching is specifically performed, that is, the actual field of the input energy parameter data is extracted, and then based on the actual field, the preset field mechanism in the different standard structure data tables is traversed to complete the field matching. Specifically, the parameter data corresponding to the actual field that is successfully matched is filled into the corresponding data table to complete the data filling.

[0078] Furthermore, in one embodiment of the invention, the freely combining different modules in the model data and then calling the energy parameters in the target database to obtain the economic evaluation models of different energy combinations specifically include:

[0079] Freely combining different modules in the model data, wherein the modules can be reused during the free combination process, and the modules specifically include energy types, parameter categories, and parameter sets;

[0080] Based on the different initial models after free combination, the energy parameters in the target database are called to fill in to obtain the economic evaluation model corresponding to the energy combination.

[0081] It should be noted that, in this embodiment, Figure 4 As shown, it is a schematic diagram of the evaluation model, wherein the evaluation model is obtained by freely combining different modules, wherein the modules specifically include energy types, parameter categories and parameter sets, and then based on the different initial models after free combination, the energy parameters in the target database are called to fill in to obtain the evaluation model corresponding to the energy combination, wherein, Figure 4 As shown, there are two economic evaluation models, one is an economic evaluation model composed of different parameter sets under the wind power type and tax parameter category, and the other is an economic evaluation model composed of different parameter sets under the photovoltaic type and power generation income parameter type.

[0082] Furthermore, in one embodiment of the invention, Figure 5 As shown, the logic verification of the parameter dependency in the economic evaluation model and the calculation and output of the economic evaluation results of different energy combinations after the verification is successful specifically include the following steps:

[0083] Step S502, obtaining different parameter dependency relationships based on different dependency relationship numbers in the evaluated model;

[0084] Step S504: Perform dynamic logic verification based on the parameter dependency, the verification process including dependency check triggering and parameter integrity verification;

[0085] Step S506: When the parameter verification is complete, the verification is successful. After the verification is successful, parameter correlation calculation and multi-energy parameter integration are performed to obtain an evaluation report which is output as the economic evaluation result.

[0086] Furthermore, in one embodiment of the invention, when the parameters are fully verified, it is specifically verified whether the parameters in the parameter dependency relationship match the corresponding threshold values. If they do not match, the verification fails, otherwise the verification succeeds; when integrating multiple energy parameters, it includes aligning the different energy parameters in the evaluated model according to the time series and then discounting them to calculate the net present value.

[0087] It should be noted that, in this embodiment, different parameter dependencies are obtained based on different dependency numbers in the evaluated model, such as "tax parameters" and its option "high tax rate". Dynamic logic verification is performed based on the parameter dependencies, and the "model_dependencies" table is queried. It is found that "tax_rate" depends on "revenue" with "value_option_id" = "revenue_high", which triggers the dependency check and then performs parameter integrity verification, that is, checks whether the "revenue" parameter has been entered and whether its value matches "revenue_high" (such as the revenue value ≥ the preset threshold). If it is not configured or the value does not match, the user is prompted: "Tax parameters depend on high-revenue configuration, please fill in the revenue parameter first and ensure that the value is ≥X million yuan". For example, "tax_rate" and "revenue" are associated for calculation, and tax = revenue × tax rate.

[0088] Furthermore, it should be noted that, in this embodiment, different energy parameters in the combination model (such as photovoltaic income + energy storage income) are aligned in time series, and the net present value (NPV) is uniformly discounted to calculate the multi-energy parameter integration. Finally, when the parameter verification is complete, the verification is successful, and after the verification is successful, the parameter correlation calculation and multi-energy parameter integration are performed to obtain an evaluation report as the economic evaluation result for output. When generating the evaluation report, key indicators (IRR, payback period, etc.) are output, and the influence of dependent parameters is marked.

[0089] An embodiment of the present application also provides an economic review report generation system based on parameter management and model combination. The economic review report generation system based on parameter management and model combination can implement the economic review report generation method based on parameter management and model combination described in the present application, but the implementation device of the economic review report generation method based on parameter management and model combination described in the present application includes but is not limited to the structure of the economic review report generation system based on parameter management and model combination listed in this embodiment. All structural deformations and replacements of the existing technology made according to the principles of the present application are included in the protection scope of the present application.

[0090] See also Figure 6 In one embodiment, this embodiment provides a system 60 for generating an economic report based on parameter management and model combination, the system comprising:

[0091] An acquisition module 61 is used to acquire input data, wherein the input data includes energy parameter data and model data;

[0092] A filling module 62 is configured to fill the energy parameter data into a preset standard structure data table to obtain a target database filled with data, wherein the standard structure data table includes at least four groups;

[0093] A combination module 63 is used to freely combine different modules in the model data and then call the energy parameters in the target database to obtain the economic evaluation models of different energy combinations;

[0094] The output module 64 is used to perform a logic check on the dependency relationship of the parameters in the economic evaluation model, and calculate and output the economic evaluation results of different energy combinations after the check is successful.

[0095] Since the specific implementation of this embodiment corresponds to the aforementioned method embodiment, the same details will not be repeated here, and those skilled in the art should also understand that Figure 6 The division of the various modules in the embodiment is merely a division of logical functions. In actual implementation, all or part of the modules can be integrated into one or more physical entities, and all of these modules can be implemented in the form of software called by processing elements, or all of them can be implemented in the form of hardware. Some modules can also be implemented in the form of software called by processing elements, and some modules can be implemented in the form of hardware.

[0096] In the several embodiments provided by the present invention, it should be understood that the disclosed devices or methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of modules / units is only a logical function division. In actual implementation, there may be other division methods, such as multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules or units, which can be electrical, mechanical or other forms.

[0097] Modules / units described as separate components may or may not be physically separate, and components displayed as modules / units may or may not be physical modules, that is, they may be located in one place or distributed across multiple network elements. Some or all of the modules / units may be selected based on actual needs to achieve the objectives of the embodiments of the present invention. For example, the functional modules / units in various embodiments of the present invention may be integrated into a single processing module, each module / unit may exist physically separately, or two or more modules / units may be integrated into a single module / unit.

[0098] Those skilled in the art should further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0099] The embodiment of the present invention further provides an electronic device, such as Figure 7 As shown, the electronic device includes a processor and a memory,

[0100] The memory is used to store computer programs.

[0101] The processor is configured to execute the computer program stored in the memory, so as to enable the electronic device to perform any of the above methods.

[0102] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices or methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of modules / units is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules or units, which can be electrical, mechanical or other forms.

[0103] The modules / units described as separate components may or may not be physically separate, and the components displayed as modules / units may or may not be physical modules, that is, they may be located in one place or distributed across multiple network elements. Some or all of the modules / units may be selected according to actual needs to achieve the purpose of the embodiments of the present application. For example, the functional modules / units in the various embodiments of the present application may be integrated into a processing module, or each module / unit may exist physically separately, or two or more modules / units may be integrated into a single module / unit.

[0104] Those skilled in the art should further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0105] The embodiment of the present application also provides a computer-readable storage medium. Those skilled in the art will understand that all or part of the steps in the method for implementing the above embodiment can be completed by instructing the processor through a program, and the program can be stored in a computer-readable storage medium, and the storage medium is a non-transitory medium, such as a random access memory, a read-only memory, a flash memory, a hard disk, a solid-state drive, a magnetic tape, a floppy disk, an optical disk, and any combination thereof. The above storage medium can be any available medium that a computer can access or a data storage device such as a server or a data center that includes one or more available media. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a digital video disc (DVD)), or a semiconductor medium (for example, a solid-state drive (SSD)), etc.

[0106] The embodiment of the present application may also provide a computer program product, the computer program product including one or more computer instructions. When the computer instructions are loaded and executed on a computing device, the process or function described in the embodiment of the present application is generated in whole or in part. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer or data center to another website, computer or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method.

[0107] When the computer program product is executed by a computer, the computer executes the method described in the above method embodiment. The computer program product can be a software installation package. When the above method is needed, the computer program product can be downloaded and executed on the computer.

[0108] The descriptions of the processes or structures corresponding to the above figures have different emphases. For parts that are not described in detail in a certain process or structure, please refer to the relevant descriptions of other processes or structures.

[0109] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by one of ordinary skill in the art without departing from the spirit and technical concepts disclosed in this application shall be covered by the claims of this application.

Claims

1. A method for economic evaluation calculation based on parameter management and model combination, characterized in that: include: Acquiring input data, wherein the input data includes energy parameter data and model data; Filling the energy parameter data into a preset standard structure data table to obtain a target database filled with data, wherein the standard structure data table includes at least four groups; After freely combining different modules in the model data, energy parameters in the target database are called to obtain economic evaluation models of different energy combinations; The parameter dependency in the economic evaluation model is logically verified, and after successful verification, the economic evaluation results of different energy combinations are calculated and output.

2. The economic evaluation calculation method based on parameter management and model combination according to claim 1, characterized in that: The step of filling the energy parameter data into a preset standard structure data table to obtain a target database filled with data specifically includes: Extracting the standard structure data table, wherein the standard structure data table includes a model parameter data table, a parameter value option data table, a unit option data table and a model dependency data table; Filling the acquired energy parameter data into the standard structure data table to obtain the target database, which includes a model parameter database, a parameter value option database, a unit option database and a model dependency database, wherein: The model parameter database includes fields representing parameter number, parameter name, parameter unit, unit type, parameter value, parameter value type, parameter category, and project type; The parameter value option database includes fields representing parameter value options, parameter value option numbers, and the parameter numbers; The unit option database includes fields representing unit options, unit option numbers, and parameter numbers; The model dependency database includes fields representing dependency numbers, parameter numbers, and parameter value option numbers.

3. The economic evaluation calculation method based on parameter management and model combination according to claim 2, characterized in that: The unit types include unique types and multiple-choice types, wherein the parameter value option database and the unit option database are used to record parameters of the multiple-choice type; the parameter categories include project information, construction investment, operating costs, power generation income, taxes and subsidies; the project types include wind power, photovoltaics, electrochemical energy storage and hydrogen energy.

4. The economic evaluation calculation method based on parameter management and model combination according to claim 3 is characterized in that: When filling the energy parameter data into the preset standard structure data table, it specifically includes: Extracting the actual fields of the input energy parameter data; Based on the actual fields, the preset field mechanisms in different standard structure data tables are traversed to complete field matching, wherein the parameter data corresponding to the successfully matched actual fields are filled into the corresponding data tables.

5. The economic evaluation calculation method based on parameter management and model combination according to claim 1, characterized in that: The method of freely combining different modules in the model data and then calling the energy parameters in the target database to obtain the economic evaluation models of different energy combinations specifically includes: Freely combining different modules in the model data, wherein the modules can be reused during the free combination process, and the modules specifically include energy types, parameter categories, and parameter sets; Based on the different initial models after free combination, the energy parameters in the target database are called to fill in to obtain the economic evaluation model corresponding to the energy combination.

6. The economic evaluation calculation method based on parameter management and model combination according to claim 1, characterized in that: The logic verification of the parameter dependency in the economic evaluation model and the calculation and output of the economic evaluation results of different energy combinations after successful verification specifically include: Obtaining different parameter dependencies based on different dependency numbers in the evaluated model; Perform dynamic logic verification based on the parameter dependency, the verification process including dependency check triggering and parameter integrity verification; When the parameter verification is complete, the verification is successful, and after the verification is successful, parameter correlation calculation and multi-energy parameter integration are performed to obtain an evaluation report to be output as the economic evaluation result.

7. The economic evaluation calculation method based on parameter management and model combination according to claim 6, characterized in that: During the complete parameter verification, it is specifically verified whether the parameters in the parameter dependency relationship match the corresponding threshold values. If they do not match, the verification fails, otherwise the verification succeeds. When integrating multiple energy parameters, it includes aligning the different energy parameters in the evaluated model according to the time series and then discounting them to calculate the net present value.

8. An economic evaluation calculation system based on parameter management and model combination, characterized in that: include: An acquisition module, configured to acquire input data, wherein the input data includes energy parameter data and model data; A filling module, configured to fill the energy parameter data into a preset standard structure data table to obtain a target database filled with data, wherein the standard structure data table includes at least four groups; A combination module, configured to freely combine different modules in the model data and then call the energy parameters in the target database to obtain evaluation models of different energy combinations; The output module is used to perform a logical check on the dependency relationship of parameters in the economic evaluation model, and after successful verification, calculate and output the economic evaluation results of different energy combinations.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the evaluated calculation method based on parameter management and model combination as described in any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: The electronic device includes: a processor and a memory; wherein the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the electronic device performs the evaluated calculation method based on parameter management and model combination as described in any one of claims 1 to 7.

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