Ecological economic value assessment method based on data analysis

Abstract

The invention discloses an ecological economic value evaluation method based on data analysis, and relates to the technical field of value evaluation.The method comprises the steps that during operation, multi-dimensional data related to an ecological system is collected, ecological resource utilization efficiency data, environmental protection contribution situation and environmental loss data are obtained, the collected multi-dimensional parameters are preprocessed, and the value of the ecological economic value is evaluated; a resource utilization benefit coefficient Rutil, an environment protection contribution coefficient Penv, an environment loss coefficient Eloss and an ecological economic value evaluation index Stjj are calculated, the ecological economic value evaluation index Stjj is compared with a preset first threshold V and a preset second threshold B, the future development direction and potential risks are evaluated, an ecological economic value evaluation report is automatically generated, and the ecological economic value evaluation efficiency is improved. The content of the report comprises detailed analysis of each coefficient, a trend analysis result, an ecological economic value evaluation index Stjj and a comparison result with a preset threshold value, the report adopts a form of combining charts, data and characters, and the evaluation result is visually displayed.

Description

Technical Field

[0001] The present invention relates to the technical field of value assessment, and in particular to an ecological economic value assessment method based on data analysis. Background Art

[0002] Ecological and economic value assessment refers to the assessment of the sustainability and environmental contribution of economic activities by analyzing their impact on the ecosystem. This type of assessment aims to balance economic growth and ecological protection, ensuring the maximum efficiency of resource utilization while minimizing environmental loss. With the rapid development of modern society, traditional assessment methods often rely on qualitative analysis and lack data support, resulting in inaccurate assessment results. In order to solve this problem, ecological and economic value assessment methods based on data analysis have emerged.

[0003] At present, many ecological and economic value assessment methods face the problems of incomplete data sources, single processing methods, and unscientific assessment indicators. Traditional methods rely on single or local data and cannot fully reflect the complexity of the ecosystem. In addition, the noise and outliers in data processing are not handled properly, which can easily lead to distorted assessment results. When comprehensively evaluating multiple ecological factors, there is often a lack of unified standards, and the assessment results cannot be effectively compared horizontally. These problems make managers face the challenge of increased uncertainty when making ecological protection decisions.

[0004] The shortcomings of the above situation are that the current ecological assessment methods are not only prone to misleading conclusions, but also may lead to errors in actual management. The lack of scientific and comprehensive data support may lead to over-exploitation of resources or lags in environmental protection measures. In addition, improper handling of abnormal data will affect the accuracy of trend analysis, and wrong predictions may increase the burden on the ecosystem. The complexity of the ecosystem means that local wrong decisions may trigger a chain reaction, exacerbating environmental degradation, resource depletion and other problems, thereby causing long-term economic losses and ecological crises. Summary of the invention

[0005] In view of the deficiencies of the prior art, the present invention provides an ecological and economic value assessment method based on data analysis, which solves the problems mentioned in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for evaluating ecological and economic value based on data analysis, comprising the following steps: Step 1: Collect multidimensional data related to the ecosystem, including ecological and environmental indicators, natural resource utilization, species diversity and climate change impacts, and obtain data on ecological resource utilization efficiency, environmental protection contribution and environmental loss; Step 2: Clean, reduce noise, process outliers, standardize and fill missing values ​​for the collected multidimensional parameters; Step 3: Automatically process parameter input through the established algorithm formula and calculate the corresponding coefficient value. Based on the parameters after data preprocessing, calculate the resource utilization efficiency coefficient R util , Environmental protection contribution coefficient P env and environmental loss factor E loss ; Step 4: Based on the calculated resource utilization efficiency coefficient R util , Environmental protection contribution coefficient P env and environmental loss factor E loss , calculate the ecological economic value assessment index S tjj , through the ecological economic value assessment index S tjj Compare with the preset first threshold value V and the preset second threshold value B to generate three levels of evaluation schemes; Step 5: Based on historical data and currently collected data, analyze the changing trends of each coefficient, and evaluate future development directions and potential risks by analyzing long-term resource utilization efficiency, environmental protection contribution and loss; Step 6: Automatically generate an ecological and economic value assessment report, which includes: detailed analysis of each coefficient, trend analysis results, ecological and economic value assessment index S tjj The report uses a combination of charts, data and text to intuitively display the evaluation results and compare them with preset thresholds to help managers make strategic decisions.

[0007] Preferably, water resource management sensors, soil nutrient detectors, ecological satellite monitoring equipment, smart grid metering equipment and drone monitoring are used to collect indicators related to the ecological environment and obtain: water resource utilization rate W res , soil productivity index S oilprod 、Ecological productivity prod , Renewable energy utilization rate R energy and biological resource development rate B res ; Through weather stations and CO2 concentration monitors, ozone detectors, drones, ecological satellite image processing systems and soil erosion monitors, the contribution of ecosystems in environmental protection and ecological restoration is measured to obtain: Carbon absorption C seq , Ozone generation contribution O zone , Biodiversity Index B div , vegetation coverage rate G cover and soil conservation rate S retention ; Collect data related to environmental losses, including the pollution load index P, through air quality monitoring systems, satellite surface monitoring systems, carbon emission detection systems, water quality and quantity monitoring instruments and geological radars. poll , Pollution load index D land , Carbon footprint coefficient C foot , water consumption rate W depletion and soil erosion rate E rosion .

[0008] Preferably, invalid, duplicate or incomplete data records are identified and removed, signal smoothing and filtering algorithms are used to process noise in the data, outliers in the data are detected and processed, extreme values ​​or unreasonable fluctuations in the data are identified and corrected, removed or marked according to the rules, data from different sources and different dimensions are standardized through normalization technology, and missing values ​​in the data set are filled through interpolation, mean completion and regression prediction methods.

[0009] Preferably, the resource utilization efficiency coefficient R util Calculated by the following formula: ; Where W res represents water resource utilization rate, S oilprod represents the soil productivity index, E prod represents ecological productivity, R energy represents the utilization rate of renewable energy, B res represents the biological resource development rate, They represent the weight coefficients of resource utilization efficiency, which are used to balance the contribution of various parameters to resource utilization efficiency. Represents the correction parameter to prevent division by zero.

[0010] Preferably, the environmental protection contribution coefficient P env Calculated by the following formula: ; In the formula, C seq represents carbon absorption, O zone represents the contribution of ozone generation, B div represents the biodiversity index, G cover represents vegetation coverage, S retention It represents the soil conservation rate. Respectively represent the weight value of each parameter, which is used to balance the influence of various contributing factors.

[0011] Preferably, the environmental loss coefficient E loss Calculated by the following formula: ; Where Ppoll Denotes the pollution load index, D land Denotes the carbon footprint coefficient of the pollution load index, C foot Denotes the carbon footprint coefficient, W depletion Denotes the water resource consumption rate, E rosion Denotes the soil erosion rate, Respectively denote the loss coefficient adjustment parameters.

[0012] Preferably, based on the calculated resource utilization benefit coefficient R util 、Environmental protection contribution coefficient P env And environmental loss coefficient E loss , After calculation, the ecological - economic value evaluation index S tjj ; The ecological - economic value evaluation index S tjj Is obtained by the following formula: ; In the formula, R util Denotes the resource utilization benefit coefficient, P env Denotes the environmental protection contribution coefficient, E loss Denotes the environmental loss coefficient, W r 、W p And W e Respectively denote the weight coefficients of the resource utilization benefit coefficient R util 、Environmental protection contribution coefficient P env And environmental loss coefficient E loss Of.

[0013] Preferably, by comparing the ecological - economic value evaluation index S tjj With a preset first threshold V and a preset second threshold B, three levels of evaluation schemes are generated: When S tjj ≥V, Obtain the first evaluation level, indicating that the economic activity contributes more than 30% higher than the standard to the ecosystem, and is evaluated as excellent; When B≤S tjj <V, Obtain the second evaluation level, indicating that the economic activity has no negative impact on the ecosystem, and is evaluated as qualified; When S tjj <B, Obtain the third evaluation level, indicating that the economic activity seriously damages the ecological environment, and is evaluated as unqualified.

[0014] Preferably, the currently collected resource utilization benefit coefficient R util 、Environmental protection contribution coefficient P env And environmental loss coefficient E lossMatch with historical data to generate time series data of each coefficient. Based on the time series, analyze the changing trends of resource utilization efficiency, environmental protection contribution and environmental loss. Use sliding average and linear regression methods to calculate the trend line of the coefficient and combine it with historical fluctuation data. Resource utilization trend analysis trend : ; Econtribution trend analysis trend : ; Environmental loss trend analysis Eloss trend : ; Among them, Euse t 、Econtribution t and Eloss t Represents the coefficient value at each time point, Euse avg 、Econtribution avg and Eloss avg represents the historical average, and n represents the number of time points; When Euse trend The increase indicates that resource utilization efficiency is improving and the ecosystem is using resources more effectively; When Econtribution trend The rise indicates that the contribution of ecosystems to environmental protection is increasing; When Eloss trend An increase indicates that environmental losses are increasing and the pressure on the ecosystem is increasing; Based on the trend results, the time series model is used to predict the future changes in various coefficients and evaluate the future development direction of resource utilization efficiency, environmental protection contribution and environmental loss.

[0015] Preferably, the report analyzes the current status, historical trends, and forecast data of each core coefficient, and displays the time series changes of each coefficient and future forecast trends through line charts, bar charts, and heat maps: Line chart: showing resource utilization efficiency E use Time series changes; Bar chart: compare the changes in different environmental contribution indicators in each year; Heat map: shows the level of environmental loss in different areas or time periods; The final report is output in PDF or HTML format, automatically embedding dynamic charts, data analysis results and trend forecasts.

[0016] The present invention provides an ecological and economic value assessment method based on data analysis, which has the following beneficial effects: (1) When the system is running, it collects multidimensional data related to the ecosystem, obtains data on ecological resource utilization efficiency, environmental protection contribution, and environmental loss, pre-processes the collected multidimensional parameters, and calculates the resource utilization efficiency coefficient R util , Environmental protection contribution coefficient P env Environmental loss coefficient E loss and ecological economic value assessment index S tjj , through the ecological economic value assessment index S tjj Compare with the preset first threshold V and the preset second threshold B to evaluate the future development direction and potential risks, and automatically generate an ecological and economic value assessment report. The report content includes: detailed analysis of each coefficient, trend analysis results, ecological and economic value assessment index S tjj The report uses a combination of charts, data and text to intuitively display the evaluation results, as well as the comparison results with the preset thresholds.

[0017] (2) The ecological and economic value assessment method based on data analysis realizes a comprehensive assessment of ecosystem-related data through multi-dimensional data collection, processing and analysis. This method can effectively collect multiple ecological and environmental indicators such as water resource utilization rate, soil productivity, and carbon absorption. After a strict data preprocessing process, data from different sources are standardized to ensure data consistency and accuracy during the assessment process. On this basis, by calculating key parameters such as resource utilization efficiency coefficient, environmental protection contribution coefficient, and environmental loss coefficient, the health status of the ecological economy is comprehensively assessed to form a scientific and objective assessment conclusion.

[0018] (3) By introducing advanced technologies such as intelligent sensor equipment and satellite monitoring systems, this method greatly improves the efficiency and accuracy of data collection. At the same time, technologies such as data cleaning, noise reduction, and missing value completion optimize data quality and enhance the accuracy and credibility of subsequent analysis. Compared with traditional evaluations based on a single parameter or simple indicator, this method provides more detailed evaluation results through comprehensive analysis of multi-dimensional parameters.

[0019] (4) Through improved data analysis and evaluation processes, this method has significantly improved the accuracy, efficiency, and reliability of ecological and economic evaluation. In traditional technical means, the evaluation results often cannot accurately reflect the combined impact of resource utilization, environmental protection, and environmental loss. The new method effectively predicts possible ecological risks in the future through trend analysis and comparison of historical data, helping decision makers to make forward-looking strategic arrangements. These improvements make the evaluation of ecological and economic value more scientific and provide more reliable support for environmental protection and sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a schematic diagram of the steps of an ecological and economic value assessment method based on data analysis of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Example 1 This invention provides an ecological and economic value assessment method based on data analysis, please refer to Figure 1 , including the following steps: Step 1: Collect multidimensional data related to the ecosystem, including ecological and environmental indicators, natural resource utilization, species diversity and climate change impacts, and obtain data on ecological resource utilization efficiency, environmental protection contribution and environmental loss; Step 2: Clean, reduce noise, process outliers, standardize and fill missing values ​​for the collected multidimensional parameters; Step 3: Automatically process parameter input through the established algorithm formula and calculate the corresponding coefficient value. Based on the parameters after data preprocessing, calculate the resource utilization efficiency coefficient R util , Environmental protection contribution coefficient P env and environmental loss factor E loss ; Step 4: Based on the calculated resource utilization efficiency coefficient R util , Environmental protection contribution coefficient P env and environmental loss factor E loss , calculate the ecological economic value assessment index S tjj , through the ecological economic value assessment index S tjj Compare with the preset first threshold value V and the preset second threshold value B to generate three levels of evaluation schemes; Step 5: Based on historical data and currently collected data, analyze the changing trends of each coefficient, and evaluate future development directions and potential risks by analyzing long-term resource utilization efficiency, environmental protection contribution and loss; Step 6: Automatically generate an ecological and economic value assessment report, which includes: detailed analysis of each coefficient, trend analysis results, ecological and economic value assessment index S tjj The report uses a combination of charts, data and text to intuitively display the evaluation results and compare them with preset thresholds to help managers make strategic decisions.

[0023] In this embodiment, multidimensional data related to the ecosystem is collected to obtain ecological resource utilization efficiency data, environmental protection contribution and environmental loss data, pre-process the collected multidimensional parameters, and calculate the resource utilization efficiency coefficient R util , Environmental protection contribution coefficient P env , Environmental loss coefficient E loss and ecological economic value assessment index S tjj , through the ecological economic value assessment index S tjj Compare with the preset first threshold V and the preset second threshold B, generate three levels of evaluation schemes, evaluate future development direction and potential risks, and automatically generate an ecological and economic value evaluation report. The report content includes: detailed analysis of each coefficient, trend analysis results, ecological and economic value evaluation index S tjj The report uses a combination of charts, data and text to intuitively display the evaluation results, as well as the comparison results with the preset thresholds.

[0024] Example 2 This embodiment is explained in Example 1, please refer to Figure 1 Specifically: Through water resource management sensors, soil nutrient detectors, ecological satellite monitoring equipment, smart grid metering equipment and drone monitoring, collect indicators related to the ecological environment and obtain: water resource utilization rate W res , soil productivity index S oilprod 、Ecological productivity prod , Renewable energy utilization rate R energy and biological resource development rate B res ; Through weather stations and CO2 concentration monitors, ozone detectors, drones, ecological satellite image processing systems and soil erosion monitors, the contribution of ecosystems in environmental protection and ecological restoration is measured to obtain: Carbon absorption C seq , Ozone generation contribution O zone , Biodiversity Index B div , vegetation coverage rate G cover and soil conservation rate S retention ; Collect data related to environmental losses, including the pollution load index P, through air quality monitoring systems, satellite surface monitoring systems, carbon emission detection systems, water quality and quantity monitoring instruments and geological radars. poll , Pollution load index D land , Carbon footprint coefficient C foot , water consumption rate W depletion and soil erosion rate E rosion .

[0025] Identify and remove invalid, duplicate or incomplete data records, use signal smoothing and filtering algorithms to deal with noise in the data, detect and process outliers in the data, identify extreme values ​​or unreasonable fluctuations in the data, and correct, remove or mark them according to the rules, standardize data from different sources and different dimensions through normalization technology, and fill in missing values ​​in the data set through interpolation, mean completion and regression prediction methods.

[0026] In this embodiment, by integrating water resource management sensors, soil nutrient detectors, ecological satellite monitoring equipment, smart grid metering equipment and drone monitoring systems, this method achieves comprehensive and accurate collection of multiple key indicators of the ecological environment. These data include water resource utilization rate W res , soil productivity index S oilprod 、Ecological productivity prod , Renewable energy utilization rate R energy and biological resource development rate B res , providing an in-depth understanding of the resource utilization of ecosystems. At the same time, through advanced technologies such as meteorological stations, CO2 concentration monitors, ozone detectors, drones and satellite image processing, the contribution of ecosystems to environmental protection was assessed, including carbon absorption C seq , Ozone generation contribution O zone , Biodiversity Index B div , vegetation coverage rate G cover and soil conservation rate S retention Furthermore, the air quality monitoring system, surface monitoring system and carbon emission detection equipment make the data collection related to environmental loss more comprehensive, covering the pollution load index P poll , soil erosion rate E rosion In terms of data processing, the system uses a number of advanced algorithms and technologies to ensure data quality and accuracy. By identifying and removing invalid, duplicate or incomplete data, signal smoothing and filtering algorithms are used to reduce noise, and data from different sources and dimensions are standardized through normalization technology. In addition, interpolation, mean completion and regression prediction methods are used to fill in missing values ​​to ensure data integrity and consistency.

[0027] Example 3 This embodiment is explained in Example 1, please refer to Figure 1 , specifically: the resource utilization efficiency coefficient R util Calculated by the following formula: ; Where W res represents water resource utilization rate, S oilprod represents the soil productivity index, E prodrepresents ecological productivity, R energy represents the utilization rate of renewable energy, B res represents the biological resource development rate, They represent the weight coefficients of resource utilization efficiency, which are used to balance the contribution of various parameters to resource utilization efficiency. Represents the correction parameter to prevent division by zero.

[0028] The environmental protection contribution coefficient P env Calculated by the following formula: ; In the formula, C seq represents carbon absorption, O zone represents the contribution of ozone generation, B div represents the biodiversity index, G cover represents vegetation coverage, S retention It represents the soil conservation rate. Respectively represent the weight value of each parameter, which is used to balance the influence of various contributing factors.

[0029] The environmental loss factor E loss Calculated by the following formula: ; Where P poll represents the pollution load index, D land represents the carbon footprint coefficient of the pollution load index, C foot represents the carbon footprint factor, W depletion represents the water consumption rate, E rosion is the soil erosion rate, They respectively represent the loss coefficient adjustment parameters.

[0030] In this embodiment, the resource utilization efficiency coefficient R calculated by the above formula is util , Environmental protection contribution coefficient P env and environmental loss factor E loss , achieving accurate quantitative assessment of ecosystem resource utilization, environmental protection and loss. Resource utilization efficiency coefficient R util Through the comprehensive measurement of water resources, soil, ecological productivity, renewable energy and biological resources, it can effectively reflect the utilization efficiency of ecological resources and ensure the rational allocation of various resources. Environmental protection contribution coefficient P env The role of ecosystems in addressing climate change and protecting biodiversity is comprehensively assessed through the comprehensive calculation of carbon absorption, ozone generation, biodiversity, vegetation coverage and soil conservation rate. lossThen, through the quantitative analysis of factors such as pollution load, carbon footprint, water resource consumption, and soil erosion, it accurately reflects the degree of environmental loss of the ecosystem.

[0031] Example 4 This example is an explanatory note carried out in Example 1. Please refer to Figure 1 , specifically: Based on the calculated resource utilization benefit coefficient R util , environmental protection contribution coefficient P env and environmental loss coefficient E loss , the ecological-economic value evaluation index S tjj is obtained after calculation; The ecological-economic value evaluation index S tjj is obtained through the following formula: ; In the formula, R util represents the resource utilization benefit coefficient, P env represents the environmental protection contribution coefficient, E loss represents the environmental loss coefficient, and W r , W p and W e respectively represent the weight coefficients of the resource utilization benefit coefficient R util , environmental protection contribution coefficient P env and environmental loss coefficient E loss .

[0032] By comparing the ecological-economic value evaluation index S tjj with the preset first threshold V and preset second threshold B, three levels of evaluation schemes are generated: When S tjj ≥V, the first evaluation level is obtained, indicating that the economic activity contributes more than 30% higher than the standard to the ecosystem, and the evaluation is excellent; When B≤S tjj <V, the second evaluation level is obtained, indicating that the economic activity has no negative impact on the ecosystem, and the evaluation is qualified; When S tjj <B, the third evaluation level is obtained, indicating that the economic activity seriously damages the ecological environment, and the evaluation is unqualified.

[0033] In this example, through the calculation of the ecological-economic value evaluation index S tjj and the threshold comparison, the overall impact of economic activities on the ecosystem can be accurately evaluated, and a clear level evaluation scheme can be provided. By comprehensively considering the resource utilization benefit coefficient R util , environmental protection contribution coefficient P env and environmental loss coefficient E loss , S tjjIt achieves a comprehensive quantitative measurement of ecological and economic value, taking into account the contribution of efficient resource utilization and environmental protection, and comprehensively assessing the negative impact of environmental loss on the ecosystem. The threshold comparison mechanism further improves the intelligence and operability of the system, and the evaluation results provide policymakers and enterprises with clear improvement directions through grade differentiation. Compared with the traditional single-dimensional evaluation system, this evaluation method has significant improvements and can effectively avoid one-sided measurement of the impact of economic activities on the ecological environment. Through the weight coefficient W r , W p and W e The reasonable allocation of resources ensures the accuracy and objectivity of the evaluation results. In addition, by generating evaluation plans of different levels, it can not only guide economic activities to optimize resource utilization and enhance environmental protection contributions, but also warn of potential risks to the ecosystem and promote sustainable development.

[0034] Example 5 This embodiment is explained in Example 1, please refer to Figure 1 , specifically: the current resource utilization efficiency coefficient R util , Environmental protection contribution coefficient P env and environmental loss factor E loss Match with historical data to generate time series data of each coefficient. Based on the time series, analyze the changing trends of resource utilization efficiency, environmental protection contribution and environmental loss. Use sliding average and linear regression methods to calculate the trend line of the coefficient and combine it with historical fluctuation data. Resource utilization trend analysis trend : ; Econtribution trend analysis trend : ; Environmental loss trend analysis Eloss trend : ; Among them, Euse t 、Econtribution t and Eloss t Represents the coefficient value at each time point, Euse avg 、Econtribution avg and Eloss avg represents the historical average, and n represents the number of time points; When Euse trend The increase indicates that resource utilization efficiency is improving and the ecosystem is using resources more effectively; When Econtribution trendThe rise indicates that the contribution of ecosystems to environmental protection is increasing; When Eloss trend An increase indicates that environmental losses are increasing and the pressure on the ecosystem is increasing; Based on the trend results, the time series model is used to predict the future changes in various coefficients and evaluate the future development direction of resource utilization efficiency, environmental protection contribution and environmental loss.

[0035] The report analyzes the current status, historical trends, and forecast data of each core coefficient, and displays the time series changes of each coefficient and future forecast trends through line charts, bar charts, and heat maps: Line chart: showing resource utilization efficiency E use Time series changes; Bar chart: compare the changes in different environmental contribution indicators in each year; Heat map: shows the level of environmental loss in different areas or time periods; The final report is output in PDF or HTML format, automatically embedding dynamic charts, data analysis results and trend forecasts.

[0036] In this embodiment, through time series analysis and trend prediction, the resource utilization efficiency coefficient R can be accurately tracked. util , Environmental protection contribution coefficient P env and environmental loss factor E loss The application of sliding average and linear regression methods effectively smooths short-term fluctuations in the data and reveals long-term trends. usetrend 、Econtribution trend and Eloss trend , can clarify the direction of changes in resource utilization efficiency, environmental protection contribution and environmental loss, and provide policy makers and enterprises with a more forward-looking basis for decision-making. An upward trend indicates an improvement in resource utilization and environmental contribution, while an upward trend in loss provides an early warning and helps to take timely response measures.

[0037] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An ecological and economic value assessment method based on data analysis, characterized by: The following steps are involved: Step 1: Collect multidimensional data related to the ecosystem, including ecological and environmental indicators, natural resource utilization, species diversity and climate change impacts, and obtain data on ecological resource utilization efficiency, environmental protection contribution and environmental loss; Step 2: Clean, reduce noise, process outliers, standardize and fill missing values ​​on the collected multidimensional parameters; Step 3: Automatically process parameter input through the established algorithm formula and calculate the corresponding coefficient value. Calculate the resource utilization efficiency coefficient R based on the parameters after data preprocessing. util , Environmental protection contribution coefficient P env and environmental loss factor E loss ; Step 4: Based on the calculated resource utilization efficiency coefficient R util , Environmental protection contribution coefficient P env and environmental loss factor E loss , calculate the ecological economic value assessment index S tjj , through the ecological economic value assessment index S tjj Compare with the preset first threshold value V and the preset second threshold value B to generate three levels of evaluation schemes; Step 5: Based on historical data and currently collected data, analyze the changing trends of each coefficient, and evaluate future development directions and potential risks by analyzing long-term resource utilization efficiency, environmental protection contribution and loss; Step 6: Automatically generate an ecological and economic value assessment report, which includes: detailed analysis of each coefficient, trend analysis results, ecological and economic value assessment index S tjj The report uses a combination of charts, data and text to intuitively display the evaluation results and compare them with preset thresholds to help managers make strategic decisions.

2. The ecological and economic value assessment method based on data analysis according to claim 1 is characterized by: Through water resource management sensors, soil nutrient detectors, ecological satellite monitoring equipment, smart grid metering equipment and drone monitoring, we collect indicators related to the ecological environment and obtain: water resource utilization rate W res , soil productivity index S oilprod 、Ecological productivity prod , Renewable energy utilization rate R energy and biological resource development rate B res ; Through weather stations and CO2 concentration monitors, ozone detectors, drones, ecological satellite image processing systems and soil erosion monitors, the contribution of ecosystems in environmental protection and ecological restoration is measured to obtain: Carbon absorption C seq , Ozone generation contribution O zone , Biodiversity Index B div , vegetation coverage rate G cover and soil conservation rate S retention ; Collect data related to environmental losses, including the pollution load index P, through air quality monitoring systems, satellite surface monitoring systems, carbon emission detection systems, water quality and quantity monitoring instruments and geological radars. poll , Pollution load index D land , Carbon footprint coefficient C foot , water consumption rate W depletion and soil erosion rate E rosion .

3. The ecological and economic value assessment method based on data analysis according to claim 1 is characterized by: Identify and remove invalid, duplicate or incomplete data records, use signal smoothing and filtering algorithms to deal with noise in the data, detect and process outliers in the data, identify extreme values ​​or unreasonable fluctuations in the data, and correct, remove or mark them according to the rules, standardize data from different sources and different dimensions through normalization technology, and fill in missing values ​​in the data set through interpolation, mean completion and regression prediction methods.

4. The ecological and economic value assessment method based on data analysis according to claim 2 is characterized by: The resource utilization efficiency coefficient R util Calculated by the following formula: ； Where W res represents water resource utilization rate, S oilprod represents the soil productivity index, E prod represents ecological productivity, R energy represents the utilization rate of renewable energy, B res represents the biological resource development rate, They represent the weight coefficients of resource utilization efficiency, which are used to balance the contribution of various parameters to resource utilization efficiency. Represents the correction parameter to prevent division by zero.

5. The ecological and economic value assessment method based on data analysis according to claim 2 is characterized by: The environmental protection contribution coefficient P env Calculated by the following formula: ； In the formula, C seq represents carbon absorption, O zone represents the contribution of ozone generation, B div represents the biodiversity index, G cover represents vegetation coverage, S retention It represents the soil conservation rate. Respectively represent the weight value of each parameter, which is used to balance the influence of various contributing factors.

6. The ecological and economic value assessment method based on data analysis according to claim 2 is characterized by: The environmental loss factor E loss Calculated by the following formula: ； Where P poll represents the pollution load index, D land represents the carbon footprint coefficient of the pollution load index, C foot represents the carbon footprint factor, W depletion represents the water consumption rate, E rosion is the soil erosion rate, They respectively represent the loss coefficient adjustment parameters.

7. The ecological and economic value assessment method based on data analysis according to claim 1 is characterized by: Based on the calculated resource utilization efficiency coefficient R util , Environmental protection contribution coefficient P env and environmental loss factor E loss , after calculation, we get the ecological economic value assessment index S tjj ; The ecological economic value assessment index S tjj Calculated by the following formula: ； In the formula, R util represents the resource utilization efficiency coefficient, P env Represents the environmental protection contribution coefficient, E loss Represents the environmental loss coefficient, W r , W p and W e Represents the resource utilization efficiency coefficient R util , Environmental protection contribution coefficient P env and environmental loss factor E loss The weight coefficient of .

8. The ecological and economic value assessment method based on data analysis according to claim 7 is characterized by: Through the ecological economic value assessment index S tjj By comparing with the preset first threshold V and the preset second threshold B, three levels of evaluation schemes are generated: When S tjj When ≥V, the first assessment level is obtained, indicating that the contribution of economic activities to the ecosystem is more than 30% higher than the standard, and the assessment is excellent; When B ≤ S tjj <When V, obtain the second evaluation level, indicating that the economic activity has no negative impact on the ecosystem and is evaluated as qualified; When S tjj <is less than B, obtain the third evaluation level, indicating that the economic activity has severely damaged the ecological environment and is evaluated as unqualified.

9. The ecological and economic value assessment method based on data analysis according to claim 1 is characterized by: The current resource utilization efficiency coefficient R util , Environmental protection contribution coefficient P env and environmental loss factor E loss Match with historical data to generate time series data of each coefficient. Based on the time series, analyze the changing trends of resource utilization efficiency, environmental protection contribution and environmental loss. Use sliding average and linear regression methods to calculate the trend line of the coefficient and combine it with historical fluctuation data. Resource utilization trend analysis trend : ; Econtribution trend analysis trend : ； Environmental loss trend analysis Eloss trend : ; Among them, Euse t 、Econtribution t and Eloss t Represents the coefficient value at each time point, Euse avg 、Econtribution avg and Eloss avg represents the historical average, and n represents the number of time points; When Euse trend The increase indicates that resource utilization efficiency is improving and the ecosystem is using resources more effectively; When Econtribution trend The rise indicates that the contribution of ecosystems to environmental protection is increasing; When Eloss trend An increase indicates that environmental losses are increasing and the pressure on the ecosystem is increasing; Based on the trend results, the time series model is used to predict the future changes in various coefficients and evaluate the future development direction of resource utilization efficiency, environmental protection contribution and environmental loss.

10. The ecological and economic value assessment method based on data analysis according to claim 1 is characterized by: The report analyzes the current status, historical trends, and forecast data of each core coefficient, and displays the time series changes of each coefficient and future forecast trends through line charts, bar charts, and heat maps: Line chart: showing resource utilization efficiency E use Time series changes; Bar chart: compare the changes in different environmental contribution indicators in each year; Heat map: shows the level of environmental loss in different areas or time periods; The final report is output in PDF or HTML format, automatically embedding dynamic charts, data analysis results and trend forecasts.

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