Evaluation method and system for coupling coordination degree of ecological environment and social economy, and storage medium

Abstract

The invention provides an ecological environment and social economic coupling coordination degree evaluation method and system and a storage medium, and the method comprises the steps: obtaining ecological environment data and social economic data of a target region in response to a target region coupling coordination degree evaluation instruction, inputting the ecological environment data and the social economic data into a large language model, and obtaining a target region coupling coordination degree evaluation instruction; and determining the coupling coordination degree between the ecological environment and the social economy by using a large language model according to the ecological environment data and the social economy data. According to the method and the system provided by the invention, a self-adaptive evaluation index system is constructed, automatic analysis of the comprehensive evaluation values of the ecological environment and the social economy of the region is realized, the automation level and the practicability of region evaluation are effectively improved, the use threshold is reduced, and the economic benefit is improved. And a technical support and an intelligent decision-making basis are provided for scientific treatment and sustainable development of urban and rural areas.

Description

Technical Field

[0001] The present invention relates to the field of intersectional technology between artificial intelligence and environmental economics, and in particular to an evaluation method, system, and storage medium for the degree of coupling coordination between the ecological environment and social economy. Background Art

[0002] In order to better promote the development of urban and rural areas, it is of great significance to scientifically evaluate the level of coordinated development of the ecological environment and social economy in these urban and rural areas.

[0003] Current methods for assessing the ecological environment and socioeconomic status require collecting raw data, cleaning it, normalizing it, and then calculating weights, running models, and interpreting the results. These steps require the coordinated operation of multiple platforms and rely on manual labor from professionals. Therefore, existing evaluation methods are not widely applicable and are particularly unsuitable for assessing the coordinated development of the ecological environment and socioeconomic status in impoverished areas.

[0004] Therefore, the prior art needs to be further improved. Summary of the Invention

[0005] In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is to provide an evaluation method, system and storage medium for the degree of coordination between the ecological environment and the social economy, so as to solve the defects of low efficiency and operability of the evaluation methods in the prior art.

[0006] In a first aspect, the present invention discloses a method for evaluating the degree of coupling coordination between the ecological environment and the social economy, wherein the method is applied to an evaluation system for the degree of coupling coordination between the ecological environment and the social economy, the evaluation system comprising: a basic database module and a large language model module; the basic database module stores ecological environment data and social economic data of multiple regions;

[0007] The evaluation method includes:

[0008] The large language model module responds to the target area coupling coordination evaluation instruction, obtains the ecological environment data and socio-economic data of the target area from the basic database module, and inputs the obtained ecological environment data and socio-economic data into the large language model to obtain the coupling coordination degree between the ecological environment and socio-economic output by the large language model.

[0009] Optionally, the ecological environment data and the socio-economic data each include multiple subsystem data, each subsystem data includes multiple evaluation indicators; the subsystem data of the ecological environment data include one or more of ecological pattern data, ecological function data, and ecological stress data; the subsystem data of the socio-economic data include one or more of economic activity data, population data, transportation data, and infrastructure data; the basic database module updates the stored ecological environment data and socio-economic data periodically or in real time;

[0010] The step of the large language model module responding to the target area coupling coordination evaluation instruction and acquiring the ecological environment data and socioeconomic data of the target area from the basic database module includes:

[0011] Obtain the regional type of the target area, and obtain the evaluation index under the corresponding index system from the basic database module according to the regional type corresponding to the target area.

[0012] Optionally, the steps of calculating the comprehensive ecological environment evaluation value based on the ecological environment data and calculating the comprehensive socio-economic evaluation value based on the socio-economic data include:

[0013] Normalizing the acquired ecological and environmental data and socio-economic data to obtain normalized ecological and environmental data and socio-economic data;

[0014] Based on the normalized ecological environment data and socio-economic data, the comprehensive ecological environment evaluation value and the comprehensive socio-economic evaluation value are calculated respectively.

[0015] Optionally, the step of respectively calculating the comprehensive ecological environment evaluation value and the comprehensive social and economic evaluation value based on the normalized ecological environment data and the social and economic data includes:

[0016] Calculate the weights of each evaluation indicator for the normalized ecological and environmental data and socioeconomic data to obtain the corresponding weights of each evaluation indicator;

[0017] According to the weights corresponding to the various evaluation indicators of ecological environment data and socio-economic data, the comprehensive ecological environment evaluation value and the comprehensive socio-economic evaluation value are calculated.

[0018] Optionally, the step of calculating the weights of various evaluation indicators on the normalized ecological and environmental data and the socioeconomic data to obtain the weights corresponding to the various evaluation indicators includes:

[0019] Calculate the weights of each evaluation indicator for the normalized ecological and environmental data and socioeconomic data to obtain the corresponding proportion of each evaluation indicator;

[0020] According to the corresponding proportion of each evaluation indicator, the entropy value corresponding to each indicator is calculated respectively;

[0021] The information utility value corresponding to each indicator is calculated based on the entropy value corresponding to each evaluation indicator;

[0022] The weight corresponding to each indicator is calculated based on the information utility value corresponding to each evaluation indicator.

[0023] Optionally, the step of determining the coupling coordination degree between the ecological environment and the social economy according to the comprehensive ecological environment evaluation value and the comprehensive social economy evaluation value includes:

[0024] Calculating the coupling degree of the ecological environment and the social economy according to the comprehensive evaluation value of the ecological environment and the comprehensive evaluation value of the social economy;

[0025] Calculating an ecological environment and social economy coordination index based on the comprehensive ecological environment evaluation value and the comprehensive social economy evaluation value;

[0026] The coupling coordination degree between the ecological environment and the social economy is calculated based on the coupling degree and coordination index.

[0027] Optionally, after the step of determining the coupling coordination degree between the ecological environment and the social economy according to the comprehensive ecological environment evaluation value and the comprehensive social economy evaluation value, the method further includes:

[0028] Obtaining a coupling coordination degree corresponding to the coupling coordination degree according to the determined coupling coordination degree between the ecological environment and the social economy, the preset coupling coordination degree range, and the coupling coordination degree level;

[0029] The corresponding evaluation result is output according to the coupling coordination degree level.

[0030] Optionally, the target area coupling coordination evaluation instruction includes a target area name and a query requirement; the query requirement is one or more of an ecological environment comprehensive evaluation value, a socio-economic comprehensive evaluation value, an ecological environment and socio-economic coupling coordination degree, a coupling coordination degree level, a coupling coordination degree type, a coupling coordination degree change trend, and a contribution rate of each indicator to coupling coordination corresponding to the target area;

[0031] After determining the coupling coordination degree between the ecological environment and the social economy according to the comprehensive ecological environment evaluation value and the social economy comprehensive evaluation value, the method further includes:

[0032] According to the query requirements in the received target area coupling coordination evaluation instruction, the corresponding calculation results are output respectively.

[0033] In the second aspect, the present invention also discloses an evaluation system for the degree of coordination between ecological environment and social economy, such as Figure 3 As shown, it includes: basic database module, large language model module, and output result module;

[0034] The basic database module stores ecological environment data and social economic data of multiple regions;

[0035] A large language model module is used to respond to a target area coupling coordination evaluation instruction, obtain ecological environment data and socioeconomic data of the target area, and input the ecological environment data and socioeconomic data into a preset large language model to obtain the coupling coordination degree between the ecological environment and the socioeconomic environment;

[0036] The large language model includes: a comprehensive evaluation calculation unit and a coupling coordination degree calculation unit;

[0037] a comprehensive evaluation calculation unit, configured to calculate an ecological environment comprehensive evaluation value based on the ecological environment data, and to calculate a socio-economic comprehensive evaluation value based on the socio-economic data;

[0038] A coupling coordination degree calculation unit, configured to determine the coupling coordination degree between the ecological environment and the social economy according to the comprehensive evaluation value of the ecological environment and the comprehensive evaluation value of the social economy;

[0039] The output result module is used to output the determined coupling coordination degree between the ecological environment and the social economy.

[0040] In a third aspect, the present invention also discloses a computer-readable storage medium, wherein the computer-readable storage medium stores one or more computer-readable programs, and the one or more computer-readable programs can be executed by one or more processors. When the computer-readable program is executed by the processor, the evaluation method of the coordination degree of the coupling between the ecological environment and the social economy is implemented.

[0041] Beneficial effects:

[0042] The present invention provides a method, system, and storage medium for evaluating the degree of coupling coordination between the ecological environment and the socioeconomic environment. These methods, in response to a target region coupling coordination evaluation instruction, obtain ecological and socioeconomic data for the target region, input the data into a large language model, and utilize the large language model to determine the degree of coupling coordination between the ecological environment and the socioeconomic environment based on the data. The method and system provided by the present invention establish an adaptive evaluation index system, enabling automated analysis of the comprehensive evaluation values of the ecological environment and socioeconomic environment of a region. This effectively enhances the automation and practicality of regional assessments, lowers the barrier to entry, and provides technical support and intelligent decision-making for scientific governance and sustainable development in urban and rural areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a flow chart of the evaluation method for the degree of coupling coordination between the ecological environment and the social economy provided by the present invention;

[0044] Figure 2 This is a diagram of the evaluation system architecture in the method provided by the present invention;

[0045] Figure 3 This is a data processing flow chart of a specific application embodiment of the method provided by the present invention;

[0046] Figure 4 This is a principle structural diagram of the evaluation system for the degree of coupling coordination between the ecological environment and the social economy provided by the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solutions and advantages of the present invention more clear and distinct, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to illustrate the present invention and are not intended to limit the present invention.

[0048] Because the ecological environment and economic development influence each other, the ecological environment provides the foundation for economic development, while economic development has a certain impact on the ecological environment. Therefore, economic development and ecological environment protection need to be balanced and developed in a coordinated manner. Therefore, evaluating the level of coordinated development between the ecological environment and social economy in a region and dynamically monitoring the development status of the region are of great significance to the long-term sustainable development of the region.

[0049] Existing methods for evaluating the synergy between a region's ecological environment and socioeconomic status generally suffer from computational complexity, cumbersome operations, and low efficiency. The specific evaluation steps include collecting raw data related to the ecological environment and socioeconomic status, cleaning the collected raw ecological and socioeconomic data, and processing the cleaned data to obtain the final evaluation results. This process requires the coordinated operation of multiple platforms and relies on manual labor from professionals, making it difficult to promote and apply in impoverished areas with limited technical resources.

[0050] Furthermore, most current evaluation methods use a unified evaluation index system, which makes it difficult to account for regional differences in physical geography, resource endowment, and industrial structure. Consequently, the adaptability and representativeness of the evaluation results are limited. Therefore, there is an urgent need to develop an intelligent evaluation method with high automation, low operational barriers, and the ability to dynamically adjust the index system based on regional characteristics, in order to enhance the scientific nature, universality, and practical guidance value of regional development analysis.

[0051] In order to overcome the above-mentioned problems in the prior art, the present invention proposes a method, system and storage medium for evaluating the coupling coordination degree between the ecological environment and the social economy. The method responds to the coupling coordination degree evaluation instruction of the target area through a large language model module, obtains the ecological environment data and social economic data of the target area from the basic database module, and inputs the obtained ecological environment data and social economic data into the large language model to obtain the coupling coordination degree between the ecological environment and the social economy output by the large language model. Therefore, the method and system of the present application automatically obtain the ecological environment data and social economic data of the corresponding area according to the user's question through the large language model, and automatically output the evaluation results using the large language model, thereby realizing an intelligent coupling coordination degree evaluation of the ecological environment and the social economy with a high level of automation and a low operating threshold.

[0052] The following is a more detailed description of an evaluation method, system, and storage medium for the degree of coupling coordination between the ecological environment and the social economy provided by this embodiment, in conjunction with the accompanying drawings.

[0053] In the first aspect, the present invention discloses a method for evaluating the degree of coordination between ecological environment and social economy, such as Figure 1 As shown, an evaluation system for the degree of coupling coordination between ecological environment and social economy is applied, and the evaluation system includes: a basic database module and a large language model module; the basic database module stores ecological environment data and social economic data of multiple regions.

[0054] The evaluation method comprises:

[0055] The large language model module responds to the target area coupling coordination evaluation instruction, obtains the ecological environment data and socio-economic data of the target area from the basic database module, and inputs the obtained ecological environment data and socio-economic data into the large language model to obtain the coupling coordination degree between the ecological environment and socio-economic output by the large language model.

[0056] The basic database module disclosed in the method of this embodiment creates a basic database that stores multiple ecological and environmental data and socioeconomic data from different geographical regions. When obtaining ecological and environmental data and socioeconomic data from different regions, different ecological and environmental data and socioeconomic data can be obtained based on the ecological and environmental status of the region. Specifically, to obtain more comprehensive ecological and environmental data and socioeconomic data, the ecological and environmental data and socioeconomic data each include multiple subsystem data. Each subsystem data corresponds to different evaluation index data.

[0057] Specifically, the basic database contains subsystem data for ecological and environmental data and subsystem data for socioeconomic data. The evaluation index data corresponding to the subsystem data for ecological and environmental data include one or more of ecological pattern data, ecological function data, and ecological stress data; the evaluation index data corresponding to the subsystem data for socioeconomic data include one or more of economic activity data, population data, transportation data, and infrastructure data. The basic database module updates the stored evaluation index data periodically or in real time.

[0058] In one implementation, some regions have relatively good ecological and socioeconomic development, making them relatively affluent. Because these affluent regions face a conflict between development needs and ecological carrying capacity, their economic expansion demands for land, resources, and energy that may exceed ecological carrying capacity, leading to environmental pollution and ecological degradation. Therefore, when evaluating the coupling coordination between ecological and socioeconomic development, affluent regions may prioritize reducing overexploitation and pollution of the ecological environment while maintaining socioeconomic development. Other regions, however, have poor ecological and socioeconomic development and are relatively impoverished. These regions face a conflict between survival needs and ecological protection, and therefore rely on ecological resources as their economic foundation. When evaluating the coupling coordination between ecological and socioeconomic development, the emphasis may be placed on achieving synchronized ecological and economic development through ecological compensation. Therefore, to achieve a more accurate assessment of the synergy between ecological and socioeconomic development in different regions, this embodiment adaptively establishes a regionally differentiated indicator system based on different regional types. Starting from the evaluation indicator data most relevant to the regional type, an accurate assessment of the synergy between ecological and socioeconomic development in each region is achieved. Table 1 shows an example of an indicator system for evaluating the socioeconomic and ecological environment in poverty-stricken counties.

[0059] Table 1 Evaluation index system of social economy and ecological environment in poverty-stricken counties

[0060]

[0061] Furthermore, the large language model module responds to the target area coupling coordination evaluation instruction, and the step of acquiring the ecological environment data and socioeconomic data of the target area from the basic database module includes:

[0062] Obtain the regional type of the target area, and obtain the evaluation index data under the corresponding index system from the basic database module according to the regional type corresponding to the target area.

[0063] Combine Figure 2 As shown, in one embodiment, for poverty-stricken areas, the regional differentiation indicator system adaptively constructed is: the subsystem data corresponding to the ecological environment data include ecological pattern data, ecological function data and ecological coercion data; the evaluation index data corresponding to the subsystem data of the socio-economic data include economic activity data, population data, transportation data and infrastructure data. As shown in Table 1 above, each subsystem data includes multiple evaluation indicators. When the instruction received by the large language model module belongs to the collaborative evaluation of poverty-stricken areas, the ecological environment data and socio-economic data corresponding to the area are obtained from the basic database respectively, and the obtained evaluation index data are processed to calculate the coupling coordination degree between the ecological environment data and the socio-economic data.

[0064] Furthermore, the step of calculating the coupling coordination degree between the ecological environment data and the socio-economic data based on the received ecological environment data and the socio-economic data by the large language model includes:

[0065] Step H11: normalize the acquired ecological environment data and social and economic data to obtain normalized ecological environment data and social and economic data.

[0066] Since the ecological and environmental data and socioeconomic data obtained in the basic database come from multiple sources, the dimensions of data from different sources may be different. Therefore, in this step, in order to eliminate the dimensional differences between data from different sources, each data is normalized to ensure that different data are comparable during algorithm calculation.

[0067] In one implementation, the method for normalizing the ecological and environmental data and the socio-economic data can use a normalization method to process positive and negative indicators separately. The specific formula is:

[0068] Positive indicators:

[0069] Negative indicators:

[0070] Where X′ ij is the normalized value of the jth indicator of the i-th object, X ij is the value of the jth evaluation index of the i-th object, maxX ij and minX ij Indicates the maximum and minimum values of each evaluation index.

[0071] Step H12: Calculate the comprehensive ecological and environmental evaluation value and the comprehensive social and economic evaluation value based on the normalized ecological and environmental data and the social and economic data.

[0072] The normalized ecological and environmental data and socio-economic data are processed. The comprehensive ecological and environmental evaluation value is calculated based on the evaluation indicators in the ecological and environmental data, and the comprehensive socio-economic evaluation value is calculated based on the evaluation indicators corresponding to the socio-economic data.

[0073] In this step, the weights of each evaluation indicator are first calculated based on the obtained evaluation indicators, and then a comprehensive evaluation is calculated based on the weights of each evaluation indicator. Specifically, the weights of each evaluation indicator are calculated for the normalized ecological and environmental data and socioeconomic data, and the steps of obtaining the weights corresponding to each evaluation indicator include:

[0074] Step H121: Calculate the weights of various evaluation indicators for the normalized ecological and environmental data and socioeconomic data to obtain the corresponding proportions of various evaluation indicators.

[0075] In this step, the following formula is used to calculate the proportion of the evaluation index:

[0076]

[0077] Among them, P ij is the weight of the evaluation index, and n is the total number of evaluation indicators.

[0078] Step H122: Calculate the entropy value corresponding to each evaluation indicator according to the weight corresponding to each evaluation indicator.

[0079] In this step, the entropy value is calculated using the following formula:

[0080]

[0081] Among them, e j is the entropy value of the jth evaluation index, k is a constant, ∈ is a very small positive number, usually 1×10 -10 to avoid zero values in logarithm operations.

[0082] Step H123: Calculate the information utility value corresponding to each indicator based on the entropy value corresponding to each evaluation indicator.

[0083] The calculation formula for the information utility value corresponding to each evaluation indicator is:

[0084] d j =1-e j ;

[0085] Among them, d j is the information utility value.

[0086] Step H124: Calculate the weight corresponding to each indicator based on the information utility value corresponding to each evaluation indicator.

[0087] After the information utility value and normalized value corresponding to each evaluation indicator are calculated, the corresponding weight can be calculated based on the information utility value and the normalized value of each evaluation indicator.

[0088] The formula for calculating the weight in this step is:

[0089] Where m is the total number of indicators.

[0090] Once the weights corresponding to the various evaluation indicators are calculated, a comprehensive evaluation value can be calculated based on the weights corresponding to the various evaluation indicators.

[0091] In one implementation, the corresponding comprehensive evaluation value can be obtained by weighted calculation based on the weights corresponding to each evaluation indicator:

[0092] Among them, S i is the comprehensive evaluation value of the i-th evaluation object, w j is the weight of the jth indicator, x′ ij is the normalized value of the jth indicator of the i-th evaluation object.

[0093] Substitute the weights and normalized values of each evaluation indicator corresponding to the ecological environment into the calculation formula of the comprehensive evaluation value to obtain the comprehensive evaluation value of the ecological environment; substitute the weights and normalized values of each evaluation indicator corresponding to the social economy into the calculation formula of the comprehensive evaluation value to obtain the comprehensive evaluation value of the social economy.

[0094] Step H13: Determine the coupling coordination degree between the ecological environment and the social economy based on the comprehensive evaluation value of the ecological environment and the comprehensive evaluation value of the social economy.

[0095] After the comprehensive evaluation value of the ecological environment and the comprehensive evaluation value of the social economy are calculated, the coupling coordination degree between the ecological environment and the social economy can be determined based on the two comprehensive evaluation values.

[0096] In order to calculate the coupling coordination degree based on the comprehensive evaluation value of the ecological environment and the comprehensive evaluation value of the social economy, the steps of determining the coupling coordination degree between the ecological environment and the social economy based on the comprehensive evaluation value of the ecological environment and the comprehensive evaluation value of the social economy specifically include:

[0097] Step H131: Calculate the coupling degree between the ecological environment and the social economy based on the comprehensive evaluation value of the ecological environment and the comprehensive evaluation value of the social economy.

[0098] In this step, the comprehensive evaluation value of the ecological environment and the comprehensive evaluation value of the socio-economic environment are weighted and calculated respectively, thereby obtaining the coupling degree of the ecological environment and the socio-economic environment. The calculation formula is:

[0099]

[0100] Among them, C is the coupling degree, S s represents the comprehensive evaluation of social economy, S e Represents comprehensive evaluation of the ecological environment.

[0101] Step H132: Calculate the ecological environment and social economy coordination index based on the comprehensive ecological environment evaluation value and the comprehensive social economy evaluation value.

[0102] In this step, the formula for calculating the coordination index between the two based on the comprehensive evaluation value of the ecological environment and the comprehensive evaluation value of the socio-economic environment is:

[0103] T=αS s +βS e ;

[0104] Among them, α and β are preset coefficients, and the preset system can be changed according to the different area types to which the target area belongs.

[0105] Step H133: Calculate the coupling coordination degree between the ecological environment and the social economy based on the coupling degree and coordination index.

[0106] Based on the coupling degree and coordination index calculated in the above steps, the coupling coordination degree between the ecological environment and the social economy is calculated. In one implementation, the formula for calculating the coupling coordination degree is:

[0107]

[0108] After the coupling degree and coordination index have been calculated, they are substituted into the calculation formula of coupling coordination degree to obtain the coupling coordination degree between the ecological environment and the social economy.

[0109] Since after the coupling coordination degree between the ecological environment and the social economy of the target area can be calculated, it is necessary to further determine the coupling coordination degree level of the target area. Therefore, in order to have a specific understanding of the coupling coordination degree level of the target area, after determining the coupling coordination degree between the ecological environment and the social economy according to the comprehensive evaluation value of the ecological environment and the comprehensive evaluation value of the social economy, the following steps are further included in the specific implementation:

[0110] According to the determined coupling coordination degree between the ecological environment and the social economy, the preset coupling coordination degree range and the corresponding relationship between the coupling coordination degree level, a coupling coordination degree level corresponding to the coupling coordination degree is obtained; and a corresponding evaluation result is output according to the coupling coordination degree level.

[0111] In order to determine the coupling coordination level of the target area, it is necessary to first create a coupling coordination range and a corresponding coupling coordination level. Table 2 shows an example of the division between the coupling coordination range and the corresponding coupling coordination level.

[0112] Table 2 Classification of coupling coordination degree

[0113]

[0114] Therefore, after the coupling coordination degree is calculated, the coupling coordination degree level corresponding to the calculated coupling coordination degree can be found according to the coupling coordination degree range given in Table 2.

[0115] Furthermore, when a user requests a regional coupling coordination evaluation for the large language model provided by this application, they can also request other requirements. Therefore, the target region coupling coordination evaluation instruction can include not only the target region name, but also other query requirements. For example, the query requirement may be one or more of the following: the comprehensive ecological and environmental evaluation value, the comprehensive socio-economic evaluation value, the degree of coupling coordination between the ecological environment and socio-economics, the coupling coordination level, the coupling coordination type, the trend of coupling coordination, and the contribution rate of each indicator to coupling coordination.

[0116] After the step of determining the coupling coordination degree between the ecological environment and the social economy according to the comprehensive ecological environment evaluation value and the social economy comprehensive evaluation value, the method further includes:

[0117] According to the query requirements in the received target area coupling coordination evaluation instruction, the corresponding calculation results are output respectively.

[0118] In this step, after receiving the query request, the large language model can output the corresponding calculation results based on the query request contained in the instruction. For example, if user 1 issues a coupling coordination evaluation instruction: Please calculate the coupling coordination level of 832 impoverished counties nationwide. User 2 issues a coupling coordination evaluation instruction: Please calculate the coupling coordination level of XXX county. The large language model will retrieve ecological and environmental data and socioeconomic data from the basic database based on the information obtained in the instruction.

[0119] In specific implementation, the large language model will adaptively build an evaluation system corresponding to the region based on the region name contained in the received instruction. According to the indicators in the evaluation system, data will be retrieved from the basic database. Figure 3 As shown in Table 1, if the name of the region in the instruction is a poverty-stricken area, the ecological environment will be obtained, including various evaluation indicators under the three subsystems of ecological pattern, ecological function, and ecological coercion, and the socio-economic data will be obtained, including various evaluation indicators under the four subsystems of economic activities, population, transportation, and infrastructure.

[0120] After the large language model obtains various evaluation indicators, it performs outlier and normalization processing on the received evaluation indicators, calculates the weight of each evaluation indicator, and then calculates the comprehensive evaluation value of the ecological environment and social economy. Finally, it calculates the coupling coordination degree of ecological environment data and social experience data.

[0121] In specific implementation, Figure 3 As shown in the figure, if the input ecological and environmental data and socioeconomic data are remote sensing data, regional statistics are performed based on the administrative boundaries of each county. If the input is statistical panel data, the next step can be directly performed. The weights corresponding to each evaluation indicator are calculated based on the input ecological and environmental data and socioeconomic data. When calculating the evaluation indicator weights, the sum of the weights corresponding to the ecological and environmental data is 1. Similarly, the sum of the weights corresponding to the socioeconomic data is also 1. The comprehensive evaluation values of the ecological and environmental factors and socioeconomic factors are then calculated based on the weights corresponding to each evaluation indicator. The coupling coordination degree between the two is then calculated based on the comprehensive evaluation values. The contribution of each indicator to the coupling coordination degree is further calculated based on the coupling coordination degree and the statistical values of each indicator.

[0122] In order to meet the needs, after the coupling coordination degree is calculated, the calculation results can be displayed. Therefore, the results output by the large language model can include: comprehensive evaluation value of the ecological environment, comprehensive evaluation value of the social economy, coupling coordination degree level, coupling coordination degree type, coupling coordination degree change trend, and contribution rate of each indicator to coupling coordination.

[0123] Furthermore, these results are combined with regional search information (such as financial assistance, counterpart support from developed regions, and the development of specialized industries) for a comprehensive analysis to uncover potential drivers of changes in coupling coordination. Based on these analysis results, the large language model can also systematically evaluate the target region's ecological environment, socioeconomic structure, and their coordinated relationships. It can then provide targeted recommendations based on its geographic location, development foundation, and resource endowment. These recommendations include cultivating advantageous industries, optimizing resource allocation, and enhancing governance capacity, enhancing the feasibility and implementation of these recommendations.

[0124] This embodiment discloses a method for evaluating the degree of coordination between the ecological environment and the socio-economic coupling. This method adaptively constructs an evaluation index system based on the regional type corresponding to the target area, obtains corresponding index data from a basic database based on the constructed evaluation index system, and uses a pre-set data processing logic in a large language model to evaluate the synergy between the ecological environment and the socio-economic environment. This method achieves intelligence and automation throughout the entire process, greatly improving processing efficiency. The regionally adaptable evaluation system constructed by this embodiment overcomes the drawback of the existing "one template fits all" approach, improving the pertinence and effectiveness of the evaluation results.

[0125] On the basis of the above evaluation method, the present invention also discloses an evaluation system for the degree of coordination between ecological environment and social economy. Figure 4 As shown, it includes: a basic database module 410, a large language model module 420, and an output result module 430 that are connected in communication in sequence.

[0126] The basic database module 410 stores ecological and environmental data and socioeconomic data for multiple regions. The stored ecological and environmental data and socioeconomic data are stored separately for different regions, enabling easy query by region name when accessing the ecological and environmental data for a specific region. To maintain real-time and validity, the ecological and environmental data and socioeconomic data in the basic database can be updated periodically or in real time.

[0127] The large language model module 420 is configured to respond to the target area coupling coordination evaluation instruction, obtain the ecological environment data and socioeconomic data of the target area, and input the ecological environment data and socioeconomic data into a preset large language model to obtain the coupling coordination degree between the ecological environment and the socioeconomic environment;

[0128] The large language model module includes: a comprehensive evaluation calculation unit and a coupling coordination degree calculation unit;

[0129] a comprehensive evaluation calculation unit, configured to calculate an ecological environment comprehensive evaluation value based on the ecological environment data, and to calculate a socio-economic comprehensive evaluation value based on the socio-economic data;

[0130] A coupling coordination degree calculation unit, configured to determine the coupling coordination degree between the ecological environment and the social economy according to the comprehensive evaluation value of the ecological environment and the comprehensive evaluation value of the social economy;

[0131] The output result module is used to output the determined coupling coordination degree between the ecological environment and the social economy.

[0132] This system allows non-professional users to complete coupling and coordination analysis through natural language interaction, significantly lowering the barrier to entry. Furthermore, the system incorporates knowledge graphs and information retrieval capabilities, automatically integrating the latest regional context and developments to provide practical recommendations.

[0133] During the operation of the system of this embodiment, the large language model first parses the regional name and evaluation requirements entered by the user, and builds a targeted indicator system based on regional backgrounds such as natural geography and industrial structure. The system then calls the ecological environment and socio-economic related data in the basic database, and combines the data processing and model calculation methods preset in the core code module to automatically complete processes such as data normalization, indicator weighting, comprehensive evaluation, coupling coordination calculation, and influencing factor contribution rate analysis. Furthermore, the system combines the calculation results with the real-time information retrieval module to obtain auxiliary information such as the dynamics and development events of the region in recent years, conducts a comprehensive analysis, and ultimately generates a comprehensive evaluation report on the development level of the region and targeted recommendations. The system of the present invention realizes the organic combination of automated data processing, personalized regional evaluation, and intelligent interpretation of results. It can effectively solve the multiple bottlenecks of existing methods in evaluation adaptability, operational complexity, and practical application. It is particularly suitable for continuous monitoring and guidance of poverty-stricken counties and similar underdeveloped areas.

[0134] In a third aspect, the present invention also discloses a computer-readable storage medium, wherein the computer-readable storage medium stores one or more computer-readable programs, and the one or more computer-readable programs can be executed by one or more processors. When the computer-readable program is executed by the processor, the evaluation method of the coordination degree of the coupling between the ecological environment and the social economy is implemented.

[0135] The present invention provides a method, system, and storage medium for evaluating the degree of coupling coordination between the ecological environment and the socioeconomic system. These methods, in response to a target region coupling coordination evaluation instruction, obtain ecological and environmental data and socioeconomic data for the target region; calculate a comprehensive ecological and environmental evaluation value based on the ecological and environmental data; and determine the degree of coupling coordination between the ecological environment and the socioeconomic system based on the comprehensive ecological and environmental evaluation values. The method and system provided by the present invention establish an adaptive evaluation index system, enabling automated analysis of the comprehensive ecological and socioeconomic evaluation values for a region. This effectively improves the automation and practicality of regional assessments, lowers the barrier to entry, and provides technical support and intelligent decision-making for scientific governance and sustainable development in urban and rural areas.

[0136] Other embodiments of the present invention will readily occur to those skilled in the art after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art not disclosed herein.

[0137] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0138] The logic and / or steps represented in the flowchart or otherwise described herein may be considered, for example, as an ordered list of executable instructions for implementing logical functions, and may be embodied in any computer-readable storage medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device), or used in conjunction with such instruction execution systems, apparatuses, or devices.

[0139] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiment, the N steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0140] It is understandable that the above embodiments are exemplary and should not be construed as limiting the present application. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for evaluating the degree of coupling coordination between ecological environment and social economy, characterized by: The invention is applied to an evaluation system for the degree of coupling coordination between ecological environment and social economy, the evaluation system comprising: a basic database module and a large language model module; the basic database module stores ecological environment data and social economic data of multiple regions; The evaluation method includes: The large language model module responds to the target area coupling coordination evaluation instruction, obtains the ecological environment data and socio-economic data of the target area from the basic database module, and inputs the obtained ecological environment data and socio-economic data into the large language model to obtain the coupling coordination degree between the ecological environment and socio-economic output by the large language model.

2. The evaluation method for the degree of coupling coordination between ecological environment and social economy according to claim 1 is characterized in that: The ecological environment data and the socio-economic data each include multiple subsystem data, each subsystem data includes multiple evaluation indicators; the subsystem data of the ecological environment data include one or more of ecological pattern data, ecological function data and ecological coercion data; the subsystem data of the socio-economic data include one or more of economic activity data, population data, transportation data and infrastructure data; the basic database module updates the stored ecological environment data and socio-economic data periodically or in real time; The step of the large language model module responding to the target area coupling coordination evaluation instruction and acquiring the ecological environment data and socioeconomic data of the target area from the basic database module includes: Obtain the regional type of the target area, and obtain the evaluation index under the corresponding index system from the basic database module according to the regional type corresponding to the target area.

3. The evaluation method for the degree of coupling coordination between ecological environment and social economy according to claim 1 is characterized in that: The steps of inputting the acquired ecological environment data and socio-economic data into the big language model to obtain the coupling coordination degree between the ecological environment and socio-economic output by the big language model include: Normalizing the acquired ecological and environmental data and socio-economic data to obtain normalized ecological and environmental data and socio-economic data; Based on the normalized ecological and environmental data and the socio-economic data, the comprehensive ecological and environmental evaluation values and the comprehensive socio-economic evaluation values are calculated respectively; The coupling coordination degree between the ecological environment and the social economy is determined according to the comprehensive evaluation value of the ecological environment and the comprehensive evaluation value of the social economy.

4. The evaluation method for the degree of coupling coordination between ecological environment and social economy according to claim 2 is characterized in that: The steps of respectively calculating the comprehensive ecological environment evaluation value and the comprehensive social and economic evaluation value based on the normalized ecological environment data and the social and economic data include: Calculate the weights of each evaluation indicator for the normalized ecological and environmental data and socioeconomic data to obtain the corresponding weights of each evaluation indicator; According to the weights corresponding to the various evaluation indicators of ecological environment data and socio-economic data, the comprehensive ecological environment evaluation value and the comprehensive socio-economic evaluation value are calculated.

5. The evaluation method for the degree of coupling coordination between ecological environment and social economy according to claim 4 is characterized in that: The steps of calculating the weights of various evaluation indicators on the normalized ecological and environmental data and socioeconomic data to obtain the weights corresponding to various evaluation indicators include: Calculate the weights of each evaluation indicator for the normalized ecological and environmental data and socioeconomic data to obtain the corresponding proportion of each evaluation indicator; According to the corresponding proportion of each evaluation indicator, the entropy value corresponding to each indicator is calculated respectively; The information utility value corresponding to each indicator is calculated based on the entropy value corresponding to each evaluation indicator; The weight corresponding to each indicator is calculated based on the information utility value corresponding to each evaluation indicator.

6. The evaluation method for the degree of coupling coordination between ecological environment and social economy according to claim 3 is characterized in that: The step of determining the coupling coordination degree between the ecological environment and the social economy according to the comprehensive ecological environment evaluation value and the social economy comprehensive evaluation value includes: Calculating the coupling degree of the ecological environment and the social economy according to the comprehensive evaluation value of the ecological environment and the comprehensive evaluation value of the social economy; Calculating an ecological environment and social economy coordination index based on the comprehensive ecological environment evaluation value and the comprehensive social economy evaluation value; The coupling coordination degree between the ecological environment and the social economy is calculated based on the coupling degree and coordination index.

7. The evaluation method for the degree of coupling coordination between ecological environment and social economy according to claim 3 is characterized in that: After determining the coupling coordination degree between the ecological environment and the social economy according to the comprehensive ecological environment evaluation value and the social economy comprehensive evaluation value, the method further includes: Obtaining a coupling coordination degree corresponding to the coupling coordination degree according to the determined coupling coordination degree between the ecological environment and the social economy, the preset coupling coordination degree range, and the coupling coordination degree level; The corresponding evaluation result is output according to the coupling coordination degree level.

8. The evaluation method for the degree of coupling coordination between ecological environment and social economy according to claim 1 is characterized in that: The target area coupling coordination evaluation instruction includes the target area name and query requirements; the query requirements are one or more of the following: the comprehensive ecological environment evaluation value, the comprehensive socio-economic evaluation value, the coupling coordination degree between the ecological environment and socio-economics, the coupling coordination degree level, the coupling coordination degree type, the coupling coordination degree change trend, and the contribution rate of each indicator to the coupling coordination corresponding to the target area; After the step of determining the coupling coordination degree between the ecological environment and the social economy according to the comprehensive ecological environment evaluation value and the social economy comprehensive evaluation value, the method further includes: According to the query requirements in the received target area coupling coordination evaluation instruction, the corresponding calculation results are output respectively.

9. An evaluation system for the degree of coordination between ecological environment and social economy, characterized by: include: Basic database module, large language model module, output result module; The basic database module stores ecological environment data and social economic data of multiple regions; A large language model module is used to respond to a target area coupling coordination evaluation instruction, obtain ecological environment data and socioeconomic data of the target area, and input the ecological environment data and socioeconomic data into a preset large language model to obtain the coupling coordination degree between the ecological environment and the socioeconomic environment; The large language model includes: a comprehensive evaluation calculation unit and a coupling coordination degree calculation unit; a comprehensive evaluation calculation unit, configured to calculate an ecological environment comprehensive evaluation value based on the ecological environment data, and to calculate a socio-economic comprehensive evaluation value based on the socio-economic data; A coupling coordination degree calculation unit, configured to determine the coupling coordination degree between the ecological environment and the social economy according to the comprehensive evaluation value of the ecological environment and the comprehensive evaluation value of the social economy; The output result module is used to output the determined coupling coordination degree between the ecological environment and the social economy.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores one or more computer-readable programs, and the one or more computer-readable programs can be executed by one or more processors. When the computer-readable program is executed by the processor, the evaluation method for the degree of coordination between the ecological environment and the social economy is implemented as described in any one of claims 1 to 8.

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