A regional project recommendation method and device based on GEP and electronic equipment

Abstract

The application provides a GEP-based regional project recommendation method and device and electronic equipment, and relates to the technical field of data processing. The method comprises the following steps: in response to a received scheme recommendation instruction, calculating a GEP growth difference value of a target region indicated by the scheme recommendation instruction in a current year; based on the GEP growth difference value in the current year, performing multi-objective optimization on all candidate projects corresponding to the target region by using a non-dominated sorting genetic algorithm to obtain a plurality of project recommendation schemes, the project recommendation schemes being used to realize filling of the GEP growth difference value of the target region in the current year; for each project recommendation scheme, calculating a target index value and a comprehensive index value of the project recommendation scheme; and generating a project recommendation report of the current year, which can be used to deeply analyze characteristics of each group of project recommendation schemes for a user and better help the user to select a suitable regional project.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, in particular to a regional project recommendation method and device based on GEP and electronic equipment. BACKGROUND

[0002] The existing project recommendation technology is mainly for specific object project recommendation, such as project recommendation for investors, and project recommendation in specific scenarios, such as project recommendation based on park material flow, carbon credit and other specific technical fields. The related method is highly targeted, and the technical framework is deeply bound with the specific field, which has significant scene limitation and single dimension defect. If directly applied to regional project recommendation, the recommendation effect is poor. SUMMARY

[0003] The purpose of the embodiments of the present application is to provide a regional project recommendation method, device and electronic equipment based on GEP, to solve the problem of poor accuracy of the existing project recommendation mechanism in regional project recommendation.

[0004] In a first aspect, the present application provides a regional project recommendation method based on GEP, which comprises: in response to a received scheme recommendation instruction, calculating a GEP growth difference value of a target region indicated by the scheme recommendation instruction in the current year; based on the GEP growth difference value in the current year, using a non-dominated sorting genetic algorithm to perform multi-objective optimization on all candidate projects corresponding to the target region to obtain a plurality of project recommendation schemes, the project recommendation schemes being used to realize the filling of the GEP growth difference value of the target region in the current year; for each project recommendation scheme, calculating a target index value and a comprehensive index value of the project recommendation scheme; generating a project recommendation report for the current year, the project recommendation report at least including a project recommendation scheme list formed by sorting based on the target index value / comprehensive index value.

[0005] In an optional implementation, it further includes: in response to a received scheme prediction instruction, predicting a GEP target value and a GEP growth difference value of a target region indicated by the scheme recommendation instruction in a future year; based on all project recommendation schemes in the current year, determining a reserve project in the future year and a corresponding priority; based on all project recommendation schemes in the current year, determining a reserve project in the future year and corresponding evaluation information, the evaluation information being used to assist in screening and determining the priority of the reserve project.

[0006] In an optional implementation, the scheme recommendation instruction is further used to indicate an error limit value corresponding to the GEP growth difference value of the target region in the current year, based on the error limit value and the GEP growth difference value of the current year, respectively determine an upper limit value of the GEP growth difference value of the current year and a lower limit value of the GEP growth difference value of the current year; based on the upper limit value of the GEP growth difference value of the current year, a non-dominated sorting genetic algorithm is used to perform multi-objective optimization on all candidate projects corresponding to the target region to obtain a plurality of project recommendation schemes; and based on the lower limit value of the GEP growth difference value of the current year, a non-dominated sorting genetic algorithm is used to perform multi-objective optimization on all candidate projects corresponding to the target region to obtain a plurality of project recommendation schemes.

[0007] In an optional implementation, the scheme recommendation instruction is further used to indicate a project additional condition of the target region in the current year, based on the project additional condition, the plurality of project recommendation schemes obtained are screened to determine a project recommendation scheme satisfying the project additional condition; a project recommendation report of the current year is generated, and the project recommendation report further includes the project recommendation scheme satisfying the project additional condition.

[0008] In an optional implementation, the plurality of project recommendation schemes are obtained by the following manner:

[0009] The following multi-objective optimization function is solved by a non-dominated sorting genetic algorithm , to obtain a plurality of groups of Pareto non-dominated solutions as a plurality of corresponding project recommendation schemes:

[0010]

[0011] ;

[0012] ;

[0013] ;

[0014] The constraint condition is:

[0015] ;

[0016] ;

[0017] ;

[0018] ;

[0019] ;

[0020] ;

[0021] Wherein, For the target region corresponding to the first One reserve project, , The total number of reserve projects, For the first The increase in the material supply of each reserve project For the first The growth value of adjustment services for each reserve project For the first The cultural service growth value of the reserve projects For the first GEP growth of the reserve projects The ratio of GEP growth difference / upper limit of GEP growth difference / lower limit of GEP growth difference. For the difference in material supply growth, To adjust the service growth gap, To increase the value of cultural services.

[0022] In an optional implementation, the target indicators include at least the GEP compliance rate, total investment requirement, and rate of return. The comprehensive indicator value for each recommended project is calculated using the following method:

[0023] ;

[0024] For the first The comprehensive index value of the recommended scheme for each project. This is a comprehensive index calculation function. , , These are the weighting coefficients for GEP compliance rate, total investment demand, and rate of return, respectively. A matrix of indicator values ​​consisting of GEP compliance rate, total investment requirement, and rate of return for all recommended solutions for all projects.

[0025] In an optional implementation, the index value matrix is ​​constructed in the following manner:

[0026] An N×3 matrix is ​​constructed based on the GEP compliance rate, total investment requirement, and rate of return of all recommended projects.

[0027] The base matrix is ​​normalized to generate an index value matrix.

[0028] Secondly, the present invention provides a GEP-based regional project recommendation device, the device comprising:

[0029] The response module is used to respond to the received scheme recommendation instruction and calculate the current year's GEP growth difference of the target area indicated by the scheme recommendation instruction;

[0030] an optimization module configured to perform multi-objective optimization on all candidate projects corresponding to the target region by using a non-dominated sorting genetic algorithm based on the GEP growth difference of the current year, to obtain a plurality of project recommendation schemes, the project recommendation schemes being used to fill the GEP growth difference of the target region in the current year;

[0031] an analysis module configured to calculate, for each project recommendation scheme, a target index value and a comprehensive index value of the project recommendation scheme;

[0032] a report module configured to generate a project recommendation report of the current year, the project recommendation report at least including a project recommendation scheme list formed by sorting based on the target index value / comprehensive index value.

[0033] In a third aspect, the present application provides an electronic device, comprising a processor, a memory and a bus, the memory storing machine readable instructions executable by the processor, the processor and the memory communicating through the bus when the electronic device is running, the processor executing the machine readable instructions to perform the steps of the GEP-based regional project recommendation method according to any one of the preceding embodiments.

[0034] In a fourth aspect, the present application provides a computer readable storage medium, the computer readable storage medium storing a computer program, the computer program being executed by the processor to perform the steps of the GEP-based regional project recommendation method according to any one of the preceding embodiments.

[0035] The GEP-based regional project recommendation method, device and electronic device provided by the present application, wherein the method comprises: in response to a received scheme recommendation instruction, calculating a GEP growth difference of a target region indicated by the scheme recommendation instruction in a current year; based on the GEP growth difference of the current year, performing multi-objective optimization on all candidate projects corresponding to the target region by using a non-dominated sorting genetic algorithm, to obtain a plurality of project recommendation schemes, the project recommendation schemes being used to fill the GEP growth difference of the target region in the current year; for each project recommendation scheme, calculating a target index value and a comprehensive index value of the project recommendation scheme; generating a project recommendation report of the current year, the project recommendation report at least including a project recommendation scheme list formed by sorting based on the target index value / comprehensive index value. The present application can obtain different project recommendation schemes by decomposing the regional GEP target and combining a multi-objective optimization algorithm, the project recommendation is more accurate, and the characteristics of each group of project recommendation schemes can be analyzed in depth for the user, which can better help the user to select a suitable project for the region. BRIEF DESCRIPTION OF DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments of the present application. It should be understood that the following drawings only show some of the embodiments of the present application, and therefore should not be regarded as a limitation to the scope, and for those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0037] Figure 1 A structure schematic diagram of a GEP-based regional project recommendation system provided by the embodiments of the present application is shown in the figure.

[0038] Figure 2 A flow schematic diagram of a GEP-based regional project recommendation method provided by the embodiments of the present application is shown in the figure.

[0039] Figure 3 A schematic diagram of a reserve project evaluation matrix provided by the embodiments of the present application is shown in the figure.

[0040] Figure 4 A structure schematic diagram of a GEP-based regional project recommendation device provided by the embodiments of the present application is shown in the figure.

[0041] Figure 5 A structure schematic diagram of an electronic device provided by the embodiments of the present application is shown in the figure. DETAILED DESCRIPTION

[0042] Firstly, the application scenario of the present application is described. The technical solutions of the present application are suitable for regional project recommendation, and can be specifically used for assisting the decision of regional projects.

[0043] The technical solutions in the embodiments of the present application will be described in combination with the drawings in the embodiments of the present application.

[0044] Embodiment one

[0045] Figure 1 A structure schematic diagram of a GEP-based regional project recommendation system provided by the embodiments of the present application is shown in the figure. As shown in the figure, the GEP-based regional project recommendation system provided by the present application includes a basic database, a data entry module, a scheme comparison and selection management module, a GEP target decision module and a project recommendation module. Figure 1

[0046] ​The basic database stores the foundational data used to implement regional project recommendation methods. This foundational data includes at least the current status data of the Regional Ecosystem Product (GEP) for each region, GEP target data, and a regional project database. The current status data of GEP includes the current status data of goods supplied, regulatory services, and cultural services, as well as the total current GEP value. The GEP target data includes the target values ​​for goods supplied, regulatory services, cultural services, and GEP. The regional project database includes data on the project categories, construction periods, and project-level ecosystem product value of all reserve projects corresponding to each region, as well as the project categories, construction periods, and project-level ecosystem product value of projects under construction.

[0047] The area here can be a city, a county, or a district within a city, etc.

[0048] The data entry module is used to respond to the user's operations through the human-computer interaction interface and generate corresponding instructions.

[0049] The human-computer interface may include a region editing box for selecting a region. It may also include an error editing box for setting the error range for the GEP growth difference. Furthermore, it may include an additional condition editing box for setting additional conditions for the recommended project plan, such as investment requirements, industry preferences, and benefit requirements.

[0050] The scheme comparison and management module is used to extract reserve projects and projects under construction corresponding to the target area from the basic database, as well as other parameters such as supply products, regulation services, cultural services and GEP, and to analyze the value of ecological products. It also uses a multi-objective optimization algorithm to compare and screen projects to obtain project combinations that meet the overall development goals of the region, and provides an introduction to the advantages of each combination.

[0051] The GEP target decision module is used to perform overall and individual statistical analysis on the recommended schemes for each project, and finally generate and output a project recommendation report.

[0052] The project recommendation module is used to, in addition to meeting the needs of this year, predict the next few years, plan ahead and recommend several projects as reserves.

[0053] like Figure 2 As shown, when the system executes the regional project recommendation method, it may include the following steps:

[0054] S1. In response to the received scheme recommendation instruction, calculate the current year's GEP growth difference for the target area indicated by the scheme recommendation instruction.

[0055] The data entry module first loads the target area's current GEP data (including current values ​​of supplied goods, regulating services, and cultural services, as well as the total GEP value), GEP target data (itemized and total target values), and project database data (categories of projects under construction and in reserve, construction periods, ecological product value contribution, total investment, and social benefit indicators, such as income generation and wealth creation benefits) from the basic database. After loading, the data needs to undergo integrity verification and preprocessing to remove invalid or contradictory data, and the ecological value indicators of different projects are standardized (e.g., by unifying the monetary unit or weighting coefficient).

[0056] Specifically, the parameters that the basic database can provide are shown in Table 1 below.

[0057] Table 1 Basic Database Parameter Table

[0058]

[0059] Then, the growth difference in material supply (MG), growth difference in regulatory services (RG), growth difference in cultural services (CG), and growth difference in GEP for the target region in the current year can be calculated respectively.

[0060] ;

[0061] ;

[0062] ;

[0063] ;

[0064] in, The difference in GEP growth. For the difference in material supply growth, To adjust the service growth gap, Adding value to cultural services The target value for GEP growth. The target value for the growth of material supply, To adjust the service growth target value, Growth target value for cultural services For the first in the target area Current GEP value of each mandatory project For the first in the target area Current value of material supply for each mandatory project For the first in the target area The current value of the adjustment service for each mandatory project. For the first in the target area The current value of cultural services for the essential construction projects.

[0065] S2, based on the GEP growth difference of the current year, a non-dominated sorting genetic algorithm is used to perform multi-objective optimization on all candidate projects corresponding to the target area to obtain multiple project recommendation schemes, and the project recommendation scheme is used to realize the filling of the GEP growth difference of the target area in the current year.

[0066] The scheme comparison management module can adopt a multi-objective optimization algorithm to generate N project recommendation schemes with the current year GEP, supply products, adjustment services and cultural service increase as core constraints. The multiple project recommendation schemes are obtained in the following way.

[0067] Specifically, the decision variable can be defined as:

[0068] ;

[0069] Wherein, represents whether to select the i th project, .

[0070] The following multi-objective optimization function is solved by a non-dominated sorting genetic algorithm (NSGA-II): , to obtain multiple groups of Pareto non-dominated solutions as corresponding multiple project recommendation schemes:

[0071]

[0072] ;

[0073] ;

[0074] ;

[0075] The constraint condition is:

[0076] ;

[0077] ;

[0078] ;

[0079] ;

[0080] ;

[0081] ;

[0082] Wherein, is the i th reserved project corresponding to the target area, , is the total number of reserved projects,​​ the material supply growth value of the first reserve project, the material supply growth value of the first reserve project, the adjustment service growth value of the first reserve project, the adjustment service growth value of the first reserve project, the cultural service growth value of the first reserve project, the cultural service growth value of the first reserve project, the GEP growth value of the first reserve project, the GEP growth value of the first reserve project, the GEP growth difference value / GEP growth difference upper limit value / GEP growth difference lower limit value, the material supply growth difference value, the adjustment service growth difference value, the cultural service growth value.

[0083] S3, for each project recommendation scheme, the target indicator value and the comprehensive indicator value of the project recommendation scheme are calculated.

[0084] The GEP target decision module can calculate the benefit indicators of each group of project recommendation schemes, calculate the comprehensive scores of each scheme through the GEP target reaching rate, total investment demand, yield rate and other parameters of each group, and use priority ranking, comprehensive evaluation and other ways to assist users to quickly understand the advantages and disadvantages of different schemes.

[0085] The target indicators at least include the GEP target reaching rate, the total investment demand, and the yield rate. In an embodiment, the candidate combinations can be ranked according to the GEP target reaching rate:

[0086]

[0087] Wherein, the GEP target reaching rate of the first project recommendation scheme, the GEP target reaching rate of the first project recommendation scheme, the GEP change amount of the i-th project in the first project recommendation scheme, the GEP target reaching rate of the first project recommendation scheme, the GEP target reaching rate of the first project recommendation scheme, the number of projects in the first project recommendation scheme. The candidate combinations are ranked according to the GEP target reaching rate from small to large.

[0088] In another embodiment, the candidate combinations can be ranked according to the total investment demand:

[0089]

[0090]

[0091] Wherein, the total investment demand of the first project recommendation scheme, the total investment demand of the first project recommendation scheme, the total investment demand of the first project recommendation scheme, ​the number of projects in the total investment of the the number of projects in the project recommendation scheme.

[0092] According to the order from large to small of the total investment demand of each project recommendation scheme.

[0093] In another embodiment, the candidate combination can also be sorted according to the yield rate:

[0094]

[0095] wherein, the yield rate of the project recommendation scheme, the yield of the project in the project recommendation scheme, the number of projects in the project recommendation scheme, the total investment of the project recommendation scheme.

[0096] According to the order from large to small of the yield rate of each project recommendation scheme.

[0097] Further, the comprehensive index value of each project recommendation scheme can be calculated as follows:

[0098] ;

[0099] the comprehensive index value of the project recommendation scheme, the comprehensive index calculation function, , , respectively, the weight coefficient corresponding to the GEP reaching rate, the total investment demand, and the yield rate, the index value matrix composed of the GEP reaching rate, the total investment demand, and the yield rate corresponding to all project recommendation schemes.

[0100] Specifically, the index value matrix can be constructed as follows:

[0101] Based on the N×3 basic matrix composed of the GEP reaching rate, the total investment demand, and the yield rate corresponding to all project recommendation schemes. Normalize the basic matrix to generate the index value matrix.

[0102] In one embodiment, the basic matrix can be normalized by the following steps:

[0103] The benefit indicators of each candidate combination are organized into an N x 3 basic matrix X:

[0104]

[0105] wherein N is the number of candidate combination schemes.

[0106] Each indicator is respectively subjected to min-max normalization, which is scaled to the interval [0, 1]:

[0107]

[0108] wherein, is the minimum value of the GEP compliance rate of all project recommendation schemes, is the minimum value of the total investment demand of all project recommendation schemes, is the minimum value of the rate of return of all project recommendation schemes, is the maximum value of the GEP compliance rate of all project recommendation schemes, is the maximum value of the total investment demand of all project recommendation schemes, is the maximum value of the rate of return of all project recommendation schemes, and S is a scaling matrix. is the normalized basic matrix, is an n-dimensional all-1 vector.

[0109] S4, generating a project recommendation report for the current year, the project recommendation report at least including a project recommendation scheme list sorted based on the target indicator value / comprehensive indicator value.

[0110] The project recommendation module can integrate the analysis results of all project recommendation schemes to generate a final project recommendation report. The project recommendation can include a recommendation scheme list (at least including items such as project name, investment amount, construction period, GEP contribution value), scheme comparison analysis charts and implementation suggestions. The report supports custom export formats.

[0111] The GEP-based regional project recommendation method provided by the embodiments of the present application can obtain different project recommendation schemes by decomposing the regional GEP target and combining a multi-objective optimization algorithm, the project recommendation is more accurate, and the characteristics of each group of project recommendation schemes can be analyzed in depth for the user, which can better assist the user to select a suitable project for the region and help the region to dynamically adjust the GEP target, thereby improving the scientificity and operability of ecological management.

[0112] Embodiment two

[0113] In an embodiment of the present application, the scheme recommendation instruction is further used to indicate an error limit value corresponding to the GEP growth difference value of the target region in the current year. If the user sets the error limit value, the scheme comparison management module can determine an upper limit value of the GEP growth difference value of the current year and a lower limit value of the GEP growth difference value of the current year based on the error limit value and the GEP growth difference value of the current year, respectively. And based on the upper limit value of the GEP growth difference value of the current year, the non-dominated sorting genetic algorithm is used to perform multi-objective optimization on all candidate projects corresponding to the target region to obtain a plurality of project recommendation schemes. At the same time, based on the lower limit value of the GEP growth difference value of the current year, the non-dominated sorting genetic algorithm is used to perform multi-objective optimization on all candidate projects corresponding to the target region to obtain a plurality of project recommendation schemes.

[0114] That is, the corresponding plurality of project recommendation schemes can be optimized and generated with the upper limit value of the GEP growth difference value and the lower limit value of the GEP growth difference value of the current year, respectively, to be recommended to the user. In this way, more possibilities can be provided for the user.

[0115] Further, a plurality of sampling values can be determined by sampling between the upper limit value of the GEP growth difference value and the lower limit value of the GEP growth difference value of the current year, and the plurality of sampling values need to include the upper limit value of the GEP growth difference value and the lower limit value of the GEP growth difference value of the current year. Then the scheme comparison management module can obtain a plurality of project recommendation schemes based on the plurality of sampling values according to the optimization mode described above. In this way, not only the selection of the user on the combination of project schemes is enriched, but also the reserved projects for future years are supported.

[0116] Embodiment three

[0117] The scheme recommendation instruction is further used to indicate the project additional conditions of the target region in the current year, and the project recommendation module can further filter the plurality of project recommendation schemes obtained to determine the project recommendation schemes satisfying the project additional conditions based on the project additional conditions. The project recommendation report of the current year is generated, and the project recommendation report further includes the project recommendation schemes satisfying the project additional conditions.

[0118] The additional conditions here can be set as shown in Table 2:

[0119] Table 2 Additional condition setting table

[0120]

[0121] The project recommendation module can refer to the additional conditions selected by the user and the corresponding priority to filter the project recommendation schemes satisfying the conditions from all the project recommendation schemes. And the corresponding summary information is formed to join the project recommendation report.

[0122] This allows users to meet their personalized needs and find projects that are more suitable for their target area or meet other criteria.

[0123] Example 4

[0124] The data entry module can also respond to scheme prediction instructions and forward them to the project recommendation module. The project recommendation module can predict the future annual GEP target value and GEP growth difference for the target area indicated by the scheme recommendation instruction. Based on all project recommendation schemes for the current year, it determines the reserve projects for future years and their corresponding priorities. Based on all project recommendation schemes for the current year, it determines the reserve projects for future years and their corresponding evaluation information. The evaluation information is used to assist in the selection of reserve projects and the determination of their priorities.

[0125] The project recommendation module can predict the GEP target demand for the next few years based on the project recommendation plans obtained in the current year, and generate a long-term recommendation list by combining it with the corresponding reserve projects in the basic database. Users can also mark and annotate each project through a human-computer interaction interface. By dynamically adjusting the GEP target setting and reserve projects, the system can continuously optimize the recommendation strategy and ensure the sustainability of regional GEP growth. For example, if a certain type of project makes a significant contribution to the long-term target but has a long construction period, the system can prioritize its inclusion in the reserve plan.

[0126] Specifically, the GEP growth rate of the recommended project in year j can be predicted using the following method:

[0127]

[0128] in, Indicates the first Recommended scheme for the project The combined GEP growth contribution for the year For the first The recommended scheme for the project is the first one. The first project Annual GEP change Indicates the first The weight of each project The amount is determined based on factors such as the project's investment scale and project type. This represents the project contribution intensity coefficient. Used to measure the GEP contribution per unit of investment in a project. Indicates the first Total investment of the projects Indicates the first The construction period for each project (in years). This represents the current value of the region's GEP. This represents the long-term contribution reward coefficient. For rewarding those project portfolios that contribute significantly to the long-term goals.

[0129] The long-term contribution factor of the nth project recommendation scheme can be calculated by the following formula:

[0130] Specifically, to more accurately assess the contribution of the project recommendation scheme to the long-term GEP goal, the long-term contribution factor of the project portfolio can be measured by the following formula:

[0131]

[0132] wherein, represents the long-term contribution factor of the nth project recommendation scheme, T represents the predicted time range (in years), represents the long-term contribution weighting coefficient, for evaluating the comprehensive impact of the project investment and construction period on the long-term GEP goal.

[0133] In one embodiment, the system is also provided with a dynamic adjustment mechanism. The project recommendation module can adjust the GEP target set and the reserve projects in the target area in the basic database in real time according to the actual effect and future prediction value of the current GEP growth.

[0134] The GEP target value adjusted according to the current execution situation can be calculated by the following formula:

[0135]

[0136] wherein, represents the GEP target growth value initially set for the target area, δ represents the target adjustment coefficient, and δ is used to adjust the amplitude of the target correction, is the predicted GEP change amount of the nth project recommendation scheme, represents the actual GEP growth value of the currently implemented project.

[0137] In one embodiment, a dynamic adjustment mechanism for reserve projects is provided for each region. Specifically, each project is evaluated according to the following priority scoring formula, and further, the projects in the project recommendation scheme obtained in the current year can be evaluated:

[0138]

[0139] wherein, represents the reserve priority score of the nth project, represents the reserve priority score of the nth project, represents the reserve priority score of the nth project, ​The GEP growth value of each project, where η represents the construction cycle impact coefficient, is used to measure the impact of the project construction cycle on priority.

[0140] Next, it can be transformed into a standard score through linear transformation. :

[0141]

[0142] in, Indicates the first The standard score corresponding to each item Indicates the current project library The minimum value, Indicates the current project library The maximum value.

[0143] Each item can be graded based on its standard scoring criteria. The grading logic can be found in Table 3 below.

[0144] Table 3 Project Rating Logic Table

[0145]

[0146] For example, projects with the top three ratings can be considered as reserve projects for the target region and given priority consideration in future annual plan recommendations.

[0147] Thus, the system provided in this application generates more accurate, scientific, persistent, and relevant project recommendations for users through a dynamic project adjustment mechanism, providing a directional reference for project planning for various regions and market entities.

[0148] In one implementation, the project recommendation report may also include recommended plans for each project and evaluation information for the project, assisting decision-making through multi-dimensional comparison.

[0149] For details, see Figure 3 Key indicators (GEP growth rate) Long-term contribution factor This is integrated into a visual matrix, using multi-dimensional comparisons to aid decision-making, for example:

[0150] (1) High +High Prioritize the launch of projects (such as long-term, high-potential projects).

[0151] (2) High +low : Include in reserves and continuously monitor (such as strategic infrastructure projects).

[0152] (3) Low +High Short-term sprint projects (such as ecological restoration projects that produce quick results).

[0153] (4) Low +low Eliminate or optimize (e.g., inefficient and repetitive projects).

[0154] In this way, users can more intuitively see the advantages and disadvantages of each project, and choose the appropriate project according to their needs, so as to set GEP target more reasonably and improve the modernization level of ecological environment governance.

[0155] Example 5

[0156] like Figure 4 As shown, based on the same inventive concept, this application also provides a GEP-based regional project recommendation device 40, the device comprising:

[0157] The response module 410 is used to calculate the current year's GEP growth difference of the target area indicated by the received scheme recommendation instruction in response to the received scheme recommendation instruction.

[0158] The optimization module 420 is used to perform multi-objective optimization on all candidate items in the target area based on the GEP growth difference of the current year using a non-dominated sorting genetic algorithm, so as to obtain multiple recommended item schemes. The recommended item schemes are used to fill the GEP growth difference of the target area in the current year.

[0159] Analysis module 430 is used to calculate the target index value and comprehensive index value of the recommended scheme for each project.

[0160] Report module 440 is used to generate a project recommendation report for the current year. The project recommendation report shall include at least a list of recommended project schemes sorted based on target indicator values / comprehensive indicator values.

[0161] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 5 As shown, the electronic device 500 includes a processor 510, a memory 520, and a bus 530.

[0162] The memory 520 stores machine-readable instructions executable by the processor 510. When the electronic device 500 is running, the processor 510 and the memory 520 communicate via the bus 530. When the machine-readable instructions are executed by the processor 510, the steps of a GEP-based regional project recommendation method as described in the above method embodiment can be executed. For specific implementation details, please refer to the method embodiment, which will not be repeated here.

[0163] The computer readable storage medium stores a computer program. The computer program is run by a processor, and can execute the steps of the GEP-based regional project recommendation method in the above method embodiments. For details, refer to the method embodiments, which will not be described here.

[0164] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0165] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other manners. The described device embodiments are merely schematic, for example, the division of the units is only a logical function division, and there can be another division manner in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections can be indirect couplings or communication connections through some communication interfaces, devices or units, and can be electrical, mechanical or other forms.

[0166] In addition, the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. According to actual needs, some or all of the units can be selected to achieve the purpose of the embodiments.

[0167] Furthermore, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0168] It should be noted that, if the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product in essence or in the form of a part or the technical solutions of the present application that make contributions to the prior art. The computer software product is stored in a storage medium, includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0169] In this document, relational terms such as first and second and the like can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.

[0170] The above only describes the embodiments of the present application and is not used to limit the protection scope of the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A regional project recommendation method based on GEP, characterized in that, The method includes: In response to the received scheme recommendation instruction, calculate the current year's GEP growth difference for the target area indicated by the scheme recommendation instruction; Based on the current year's GEP growth difference, a non-dominated sorting genetic algorithm is used to perform multi-objective optimization on all candidate projects in the target region to obtain multiple project recommendation schemes. These project recommendation schemes are used to fill the current year's GEP growth difference in the target region. Specifically, this involves solving the following multi-objective optimization functions using the non-dominated sorting genetic algorithm. Multiple Pareto nondominated solutions were obtained to serve as recommended solutions for various projects. ； ； ； The constraints are: ； ； ； ； ； ； Here, the decision variables are defined as follows: ； Indicate whether to select the first option One project, , The total number of reserve projects, For the first The increase in the material supply of each reserve project For the first The growth value of adjustment services for each reserve project For the first The cultural service growth value of the reserve projects For the first GEP growth of the reserve projects The ratio of GEP growth difference / upper limit of GEP growth difference / lower limit of GEP growth difference. For the difference in material supply growth, To adjust the service growth gap, Adding value to cultural services; For each recommended project, calculate the target indicator value and comprehensive indicator value for that project. The target indicators should include at least the GEP achievement rate, total investment requirement, and rate of return. The comprehensive indicator value for each recommended project is calculated using the following method: ； For the first The comprehensive index value of the recommended scheme for each project. This is a comprehensive index calculation function. , , These are the weighting coefficients for GEP compliance rate, total investment demand, and rate of return, respectively. A matrix of indicator values ​​consisting of GEP compliance rate, total investment requirement, and rate of return for all recommended solutions for all projects; Generate a project recommendation report for the current year, which includes at least a list of recommended projects sorted based on comprehensive index values.

2. The method according to claim 1, characterized in that, Also includes: In response to the received scheme prediction instruction, the target GEP value and GEP growth difference for the target area indicated by the scheme recommendation instruction are predicted for the next year; Based on all recommended projects for the current year, reserve projects for future years and their corresponding priorities are determined. Based on all recommended projects for the current year, reserve projects for future years and their corresponding evaluation information are determined. The evaluation information is used to assist in the selection of reserve projects and to determine their priority.

3. The method according to claim 1, characterized in that, The recommended scheme instruction is also used to indicate the error limit value corresponding to the current year's GEP growth difference in the target region. Based on the aforementioned error limit value and the GEP growth difference for the current year, the upper limit value and the lower limit value of the GEP growth difference for the current year are determined respectively. Based on the upper limit of the GEP growth difference for the current year, a non-dominated sorting genetic algorithm is used to perform multi-objective optimization on all candidate projects in the target area to obtain multiple project recommendation schemes. Based on the lower limit of the GEP growth difference for the current year, a non-dominated sorting genetic algorithm is used to perform multi-objective optimization on all candidate projects in the target region to obtain multiple project recommendation schemes.

4. The method according to claim 1, characterized in that, The recommended scheme instructions are also used to indicate additional conditions for projects in the target area for the current year. Based on the aforementioned additional conditions for the project, the multiple recommended project schemes are screened to determine the recommended project schemes that meet the additional conditions. Generate a project recommendation report for the current year, which also includes project recommendation schemes that meet the additional conditions for the projects.

5. The method according to claim 1, characterized in that, The index value matrix is ​​constructed using the following method: An N×3 matrix is ​​constructed based on the GEP compliance rate, total investment requirement, and rate of return of all recommended projects. The base matrix is ​​normalized to generate an index value matrix.

6. A regional project recommendation device based on GEP, characterized in that, The device includes: The response module is used to calculate the current year's GEP growth difference of the target area indicated by the received scheme recommendation instruction in response to the received scheme recommendation instruction. The optimization module, based on the current year's GEP growth difference, uses a non-dominated sorting genetic algorithm to perform multi-objective optimization on all candidate items corresponding to the target region, obtaining multiple recommended item schemes. These recommended schemes are used to fill the current year's GEP growth difference in the target region. Specifically, this involves solving the following multi-objective optimization functions using the non-dominated sorting genetic algorithm. Multiple Pareto nondominated solutions were obtained to serve as recommended solutions for various projects. ； ； ； The constraints are: ； ； ； ； ； ； Here, the decision variables are defined as follows: ； Indicate whether to select the first option One project, , The total number of reserve projects, For the first The increase in the material supply of each reserve project For the first The growth value of adjustment services for each reserve project For the first The cultural service growth value of the reserve projects For the first GEP growth of the reserve projects The ratio of GEP growth difference / upper limit of GEP growth difference / lower limit of GEP growth difference. For the difference in material supply growth, To adjust the service growth gap, Adding value to cultural services; The analysis module is used to calculate the target indicator value and comprehensive indicator value of the recommended plan for each project. The target indicators include at least the GEP achievement rate, total investment requirement, and rate of return. The comprehensive indicator value of each project's recommended plan is calculated in the following way: ； For the first The comprehensive index value of the recommended scheme for each project. This is a comprehensive index calculation function. , , These are the weighting coefficients for GEP compliance rate, total investment demand, and rate of return, respectively. A matrix of indicator values ​​consisting of GEP compliance rate, total investment requirement, and rate of return for all recommended solutions for all projects; The reporting module is used to generate a project recommendation report for the current year. The project recommendation report includes at least a list of recommended project schemes sorted based on comprehensive index values.

7. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus, and the processor executes the machine-readable instructions to perform the steps of the GEP-based regional project recommendation method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the GEP-based regional project recommendation method as described in any one of claims 1 to 5.

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