An ecological economic value evaluation method based on data analysis

Abstract

The application discloses an ecological economic value evaluation method based on data analysis, and relates to the technical field of value evaluation. When the method is in operation, multi-dimensional data related to an ecological system is collected, ecological resource utilization efficiency data, environmental protection contribution and environmental loss data are obtained, the collected multi-dimensional parameters are preprocessed, and resource utilization benefit coefficient R util , environmental protection contribution coefficient P env , environmental loss coefficient E loss and ecological economic value evaluation index S tjj are calculated. The ecological economic value evaluation index S tjj is compared with a preset first threshold value V and a preset second threshold value B, future development direction and potential risks are evaluated, an ecological economic value evaluation report is automatically generated, and the report content includes: detailed analysis of each coefficient, trend analysis result, ecological economic value evaluation index S tjj and comparison result with the preset threshold value. The report adopts a form combining charts, data and words, and directly displays the evaluation result.

Description

TECHNICAL FIELD

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

[0002] Ecological economic value assessment refers to the analysis of the impact of economic activities on the ecosystem to assess its sustainability and environmental contribution. This assessment aims to balance economic growth and ecological protection, ensuring the maximum efficiency of resource utilization while minimizing environmental damage. With the rapid development of modern society, traditional assessment methods often rely on qualitative analysis, lacking data support, resulting in insufficient accuracy of assessment results. To solve this problem, an ecological economic value assessment method based on data analysis has emerged.

[0003] Currently, many ecological economic value assessment methods face problems such as incomplete data sources, single processing methods, and unscientific evaluation indicators. Traditional methods rely on single or partial data, which cannot fully reflect the complexity of the ecosystem. In addition, noise and improper handling of outliers in data processing can lead to distorted assessment results. When evaluating multiple ecological factors, there is often a lack of unified standards, making it difficult to effectively compare results horizontally. These problems increase the uncertainty faced by managers when making ecological protection decisions.

[0004] The above-mentioned shortcomings caused by the current situation are that the current ecological assessment methods not only easily produce misleading conclusions, but also may cause mistakes in actual management. Lack of scientific and comprehensive data support may lead to over-exploitation of resources or lag in environmental protection measures. In addition, improper handling of abnormal data can affect the accuracy of trend analysis, and false predictions can exacerbate the burden on the ecosystem. The complexity of the ecosystem means that local errors in decision-making can trigger a chain reaction, exacerbating environmental degradation, resource depletion, and other problems, resulting in long-term economic losses and ecological crises. SUMMARY

[0005] To overcome the shortcomings of the prior art, the present application provides an ecological economic value assessment method based on data analysis, which solves the problems mentioned in the background art.

[0006] To achieve the above purpose, the present application realizes the following technical scheme: an ecological economic value assessment method based on data analysis, comprising the following steps:

[0007] Step 1: Collect multi-dimensional data related to the ecosystem, including ecological environmental indicators, natural resource utilization, species diversity, and climate change impact, obtain ecological resource utilization efficiency data, environmental protection contribution, and environmental damage data;

[0008] Step two: clean, denoise, outlier processing, standardization and missing value completion operations are performed on the collected multi-dimensional parameters;

[0009] Step three: the parameter input is automatically processed through a predetermined algorithm formula, and the corresponding coefficient value is calculated. Based on the pre-processed parameters, the resource utilization benefit coefficient R util , the environmental protection contribution coefficient P env and the environmental loss coefficient E loss are calculated.

[0010] Step four: based on the calculated resource utilization benefit coefficient R util , the environmental protection contribution coefficient P env and the environmental loss coefficient E loss , the ecological economic value evaluation index S tjj is calculated. The ecological economic value evaluation index S tjj is compared with the preset first threshold value V and the preset second threshold value B to generate three levels of evaluation schemes.

[0011] Step five: based on historical data and currently collected data, the trend of each coefficient is analyzed. Through the analysis of long-term resource utilization efficiency, environmental protection contribution and loss, the future development direction and potential risks are evaluated.

[0012] Step six: automatically generate an ecological economic value evaluation report. The report content includes: detailed analysis of each coefficient, trend analysis result, ecological economic value evaluation index S tjj and comparison result with preset threshold. The report adopts the form of charts, data and text to intuitively display the evaluation result, helping managers make strategic decisions.

[0013] Preferably, through water resource management sensors, soil nutrition detectors, ecological satellite monitoring equipment, intelligent power grid metering equipment and unmanned aerial vehicles, indicators related to the ecological environment are collected to obtain: water resource utilization rate W res , soil productivity index S oilprod , ecological productivity E prod , renewable energy utilization rate R energy and biological resource development rate B res .

[0014] Through weather stations and CO2 concentration monitors, ozone detectors, unmanned aerial vehicles, ecological satellite image processing systems and soil erosion monitors, the contribution of the ecological system to environmental protection and ecological restoration is measured to obtain: carbon absorption amount C seq , ozone generation contribution O zone , biodiversity index B div , vegetation coverage G cover and soil retention rate Sretention ;

[0015] Through the air quality monitoring system, satellite ground monitoring system, carbon emission detection system, water quality and quantity monitoring instrument and geological radar, the data related to environmental loss are collected, including pollution load index P poll , pollution load index D land , carbon footprint coefficient C foot , water resource consumption rate W depletion and soil erosion rate E rosion .

[0016] 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 rules, different sources and different dimensional data are standardized by normalization technology, and missing values in the data set are filled by interpolation, mean completion and regression prediction methods.

[0017] Preferably, the resource utilization efficiency coefficient R util is calculated by the following formula:

[0018] ;

[0019] In the formula, W res represents water resource utilization rate, S oilprod represents soil productivity index, E prod represents ecological productivity, R energy represents renewable energy utilization rate, B res represents biological resource development rate, respectively represent the weight coefficients of resource utilization efficiency, used to balance the contribution of each parameter to resource utilization efficiency, represents a correction parameter to prevent the divisor from being zero.

[0020] Preferably, the environmental protection contribution coefficient P env is calculated by the following formula:

[0021] ;

[0022] In the formula, C seq represents carbon absorption, O zone represents ozone generation contribution, B div represents biodiversity index, G cover represents vegetation coverage, S retention represents soil retention rate, respectively represent the weight values of each parameter, used to balance the influence of each contribution factor.

[0023] Preferably, the environmental loss coefficient E loss is calculated by the following formula:

[0024] ;

[0025] In the formula, P poll represents the pollution load index, D land represents the pollution load index carbon footprint coefficient, C foot represents the carbon footprint coefficient, W depletion represents the water resource consumption rate, E rosion represents the soil erosion rate, respectively represent the loss coefficient adjustment parameters.

[0026] Preferably, based on the calculated resource utilization benefit coefficient R util , the environmental protection contribution coefficient P env and the environmental loss coefficient E loss , the ecological economic value evaluation index S tjj is calculated;

[0027] The ecological economic value evaluation index S tjj is calculated by the following formula:

[0028] ;

[0029] 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, W r , W p and W e respectively represent the weight coefficients of the resource utilization benefit coefficient R util , the environmental protection contribution coefficient P env and the environmental loss coefficient E loss .

[0030] Preferably, by comparing the ecological economic value evaluation index S tjj with the preset first threshold value V and the preset second threshold value B, three levels of evaluation schemes are generated:

[0031] When S tjj ≥ V, the first evaluation level is obtained, indicating that the economic activity contributes more than 30% to the ecosystem, and the evaluation is excellent;

[0032] 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;

[0033] When Stjj At B time, the third evaluation level is obtained, indicating that economic activities have severely damaged the ecological environment, and the evaluation is unqualified.

[0034] Preferably, the current collected resource utilization efficiency coefficient R util , the environmental protection contribution coefficient P env and the environmental loss coefficient E loss are matched with historical data to generate time series data of each coefficient, and based on the time series, the change trend of resource utilization efficiency, environmental protection contribution and environmental loss is analyzed, the trend line of the coefficient is calculated by using moving average and linear regression method, and the historical fluctuation data is combined;

[0035] Resource utilization trend analysis Euse trend : ;

[0036] Environmental protection contribution trend analysis Econtribution trend :

[0037] ;

[0038] Environmental loss trend analysis Eloss trend : ;

[0039] Wherein, Euse t , Econtribution t and Eloss t represent the coefficient value at each time point, Euse avg , Econtribution avg and Eloss avg represent the historical average value, and n represents the number of time points.

[0040] When Euse trend rises, it means that the resource utilization efficiency is improving, and the ecosystem is using resources more effectively;

[0041] When Econtribution trend rises, it means that the environmental protection contribution of the ecosystem is increasing;

[0042] When Eloss trend rises, it means that the environmental loss increases and the pressure on the ecosystem increases;

[0043] Based on the trend results, the change of each coefficient in the future is predicted by using time series model, and the development direction of future resource utilization efficiency, environmental protection contribution and environmental loss is evaluated.

[0044] Preferably, the report analyzes the current state, historical trends and prediction data for each core coefficient, and displays the time series changes and future prediction trends of each coefficient through line charts, bar charts and heat maps:

[0045] Line chart: show the time series changes of resource utilization efficiency E use ;

[0046] Bar chart: compare the changes of different environmental contribution indicators in different years;

[0047] Heat map: display the environmental loss level in different regions or time periods;

[0048] The final report is output in PDF or HTML format, automatically embedding dynamic charts, data analysis results and trend prediction.

[0049] The present application provides an ecological economic value evaluation method based on data analysis, which has the following beneficial effects:

[0050] (1) When the system is running, multi-dimensional data related to the ecological system is collected, and ecological resource utilization efficiency data, environmental protection contribution and environmental loss data are obtained. The collected multi-dimensional parameters are preprocessed, and the resource utilization benefit coefficient R util , the environmental protection contribution coefficient P env , the environmental loss coefficient E loss and the ecological economic value evaluation index S tjj are calculated. By comparing the ecological economic value evaluation index S tjj with the preset first threshold value V and the preset second threshold value B, the future development direction and potential risk are evaluated, and the ecological economic value evaluation report is automatically generated. The report content includes: detailed analysis of each coefficient, trend analysis result, ecological economic value evaluation index S tjj and comparison result with preset threshold value. The report adopts the form of charts, data and words, and directly displays the evaluation result.

[0051] (2) The ecological economic value evaluation method based on data analysis realizes the comprehensive evaluation of ecological system related data through multi-dimensional data collection, processing and analysis. This method can effectively collect water resource utilization rate, soil productivity, carbon absorption amount and other ecological environment indicators. After strict data preprocessing process, the data from different sources are standardized to ensure the consistency and accuracy of the data in the evaluation process. On this basis, by calculating the resource utilization benefit coefficient, the environmental protection contribution coefficient and the environmental loss coefficient and other key parameters, the health status of ecological economy is comprehensively evaluated, and scientific and objective evaluation conclusion is formed.

[0052] (3) By introducing intelligent sensor devices, satellite monitoring systems and other advanced technical means, the method greatly improves the data collection efficiency and accuracy. At the same time, data cleaning, noise reduction and missing value completion optimize the data quality, and enhance the accuracy and reliability of subsequent analysis. Compared with traditional evaluation based on single parameter or simple index, the method provides more detailed evaluation results through comprehensive analysis of multi-dimensional parameters.

[0053] (4) Through the improved data analysis and evaluation process, the method brings significant improvement in the accuracy, efficiency and reliability of ecological economic evaluation. In traditional technical means, the evaluation results often cannot accurately reflect the comprehensive influence of resource utilization, environmental protection and environmental loss, while the new method effectively predicts the future ecological risk through trend analysis and comparison with historical data, helping decision-makers make forward-looking strategic layout. These improvements make the evaluation of ecological economic value more scientific, and provide more reliable support for environmental protection and sustainable development. BRIEF DESCRIPTION OF DRAWINGS

[0054] Figure 1 is a flowchart of the ecological economic value evaluation method based on data analysis. DETAILED DESCRIPTION

[0055] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0056] Embodiment 1

[0057] The present application provides an ecological economic value evaluation method based on data analysis, please refer to Figure 1 , including the following steps:

[0058] Step 1: Collect multi-dimensional data related to ecological system, including ecological environment index, natural resource utilization, species diversity and climate change impact, obtain ecological resource utilization efficiency data, environmental protection contribution and environmental loss data;

[0059] Step 2: Clean, denoise, outlier processing, standardization and missing value completion operation are performed on the collected multi-dimensional parameters;

[0060] Step 3: The input parameters are automatically processed by the given algorithm formula, and the corresponding coefficient values are calculated. Based on the pre-processed parameters, the resource utilization benefit coefficient R util , the environmental protection contribution coefficient P envand the environmental loss coefficient E loss ;

[0061] Step four: based on the calculated resource utilization efficiency coefficient R util , the environmental protection contribution coefficient P env and the environmental loss coefficient E loss , calculate the ecological economic value evaluation index S tjj , compare the ecological economic value evaluation index S tjj with the preset first threshold value V and the preset second threshold value B, and generate three levels of evaluation schemes;

[0062] Step five: based on historical data and currently collected data, analyze the trend of each coefficient, and through the analysis of long-term resource utilization efficiency, environmental protection contribution and loss, evaluate the future development direction and potential risks;

[0063] Step six: automatically generate an ecological economic value evaluation report, which includes: detailed analysis of each coefficient, trend analysis results, ecological economic value evaluation index S tjj and comparison results with preset thresholds, and the report adopts the form of charts, data and text to intuitively display the evaluation results and help managers make strategic decisions.

[0064] In this embodiment, multi-dimensional data related to the ecological system is collected to obtain ecological resource utilization efficiency data, environmental protection contribution and environmental loss data, the collected multi-dimensional parameters are preprocessed, and the resource utilization efficiency coefficient R util , the environmental protection contribution coefficient P env , the environmental loss coefficient E loss and the ecological economic value evaluation index S tjj are calculated, the ecological economic value evaluation index S tjj is compared with the preset first threshold value V and the preset second threshold value B, three levels of evaluation schemes are generated, the future development direction and potential risks are evaluated, and an ecological economic value evaluation report is automatically generated. The report content includes: detailed analysis of each coefficient, trend analysis results, ecological economic value evaluation index S tjj and comparison results with preset thresholds, and the report adopts the form of charts, data and text to intuitively display the evaluation results.

[0065] Embodiment 2

[0066] This embodiment is an explanation and description in embodiment 1, please refer to Figure 1 , specifically: through water resource management sensors, soil nutrition detectors, ecological satellite monitoring equipment, intelligent power grid metering equipment and unmanned aerial vehicle monitoring, collect indicators related to the ecological environment, and obtain: water resource utilization rate W res, soil productivity index S oilprod , ecological productivity E prod , renewable energy utilization rate R energy , and biological resource development rate B res ;

[0067] Through meteorological stations and CO2 concentration monitors, ozone detectors, drones, ecological satellite image processing systems, and soil erosion monitors, the contribution of the ecosystem to environmental protection and ecological restoration is measured, and the following data is obtained: carbon absorption C seq , ozone generation contribution O zone , biodiversity index B div , vegetation coverage G cover , and soil retention rate S retention ;

[0068] Through air quality monitoring systems, satellite surface monitoring systems, carbon emission detection systems, water quality and quantity monitors, and geological radars, data related to environmental loss is collected, including pollution load index P poll , pollution load index D land , carbon footprint coefficient C foot , water resource consumption rate W depletion , and soil erosion rate E rosion .

[0069] 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 rules, different sources and different dimensions of data are standardized by normalization techniques, and missing values in the data set are filled by interpolation, mean completion and regression prediction methods.

[0070] In this embodiment, by integrating water resource management sensors, soil nutrient detectors, ecological satellite monitoring equipment, intelligent power grid metering equipment and unmanned aerial vehicle monitoring systems, the method realizes comprehensive and accurate collection of multiple key indicators of the ecological environment. These data cover water resource utilization rate W res , soil productivity index S oilprod , ecological productivity E prod , renewable energy utilization rate R energy , and biological resource development rate B res , providing in-depth understanding of the utilization status of ecological system resources. At the same time, through meteorological stations, CO2 concentration monitors, ozone detectors, drones and satellite image processing, the contribution of the ecological system to environmental protection is evaluated, including carbon absorption C seq , ozone generation contribution O zone , biodiversity index B div, vegetation coverage G cover and soil retention rate S retention . Furthermore, the air quality monitoring system, the ground surface monitoring system and the carbon emission detection device make the data collection related to environmental loss more comprehensive, covering key information such as pollution load index P poll , soil erosion rate E rosion , etc. In terms of data processing, the system adopts a number of advanced algorithms and technologies to ensure data quality and accuracy. By identifying and removing invalid, duplicate or incomplete data, using signal smoothing, filtering algorithms to reduce noise, and using normalization techniques to standardize data from different sources and different dimensions. In addition, interpolation, mean completion and regression prediction methods are used to fill in missing values to ensure data integrity and consistency.

[0071] Embodiment 3

[0072] This embodiment is an explanation and illustration in Embodiment 1, please refer to Figure 1 , specifically: the resource utilization efficiency coefficient R util is calculated by the following formula:

[0073] ;

[0074] In the formula, W res represents water resource utilization rate, S oilprod represents soil productivity index, E prod represents ecological productivity, R energy represents renewable energy utilization rate, B res represents biological resource development rate, respectively represent the weight coefficient of resource utilization efficiency, used to balance the contribution of each parameter to resource utilization efficiency, represents a correction parameter to prevent the divisor from being zero.

[0075] The environmental protection contribution coefficient P env is calculated by the following formula:

[0076] ;

[0077] In the formula, C seq represents carbon absorption, O zone represents ozone generation contribution, B div represents biodiversity index, G cover represents vegetation coverage, S retention represents soil retention rate, respectively represent the weight value of each parameter, used to balance the influence of each contribution factor.

[0078] The environmental loss coefficient E lossCalculated using the following formula:

[0079] ;

[0080] In the formula, P poll D represents the pollution load index. land The carbon footprint coefficient, C, represents the pollution load index. foot W represents the carbon footprint coefficient. depletion E represents the water resource consumption rate. rosion Indicates the rate of soil erosion. These represent the parameters for adjusting the loss coefficient.

[0081] In this embodiment, the resource utilization efficiency coefficient R is calculated using the above formula. util Environmental protection contribution coefficient P env and environmental loss coefficient E loss This enables precise quantitative assessment of ecosystem resource utilization, environmental protection, and depletion. Resource utilization efficiency coefficient R util By comprehensively measuring water resources, soil, ecological productivity, renewable energy, and biological resources, the efficiency of ecological resource utilization can be effectively reflected, ensuring the rational allocation of various resources. Environmental protection contribution coefficient P env This involves a comprehensive assessment of the role of ecosystems in addressing climate change and protecting biodiversity through integrated calculations of carbon sequestration, ozone generation, biodiversity, vegetation cover, and soil retention. Environmental depletion factor E loss By quantitatively analyzing factors such as pollution load, carbon footprint, water consumption, and soil erosion, the degree of environmental damage to the ecosystem is accurately reflected.

[0082] Example 4

[0083] This embodiment is an explanation based on Embodiment 1. Please refer to it. Figure 1 Specifically: based on the calculated resource utilization efficiency coefficient R util Environmental protection contribution coefficient P env and environmental loss coefficient E loss The ecological economic value assessment index S was obtained after calculation. tjj ;

[0084] The ecological and economic value assessment index S tjj Calculated using the following formula:

[0085] ;

[0086] In the formula, R util P represents the resource utilization efficiency coefficient. env E represents the environmental protection contribution coefficient. lossW represents an environmental loss coefficient r W p W e represent weight coefficients of the resource utilization benefit coefficient R util , the environmental protection contribution coefficient P env , and the environmental loss coefficient E loss , respectively.

[0087] By comparing the ecological economic value evaluation index S tjj with the preset first threshold value V and the preset second threshold value B, three levels of evaluation schemes are generated:

[0088] When S tjj ≥ V, a first evaluation level is obtained, indicating that the contribution of economic activities to the ecological system is more than 30% higher than the standard, and the evaluation is excellent.

[0089] When B≤S tjj <V, a second evaluation level is obtained, indicating that the economic activities have no negative impact on the ecological system, and the evaluation is qualified.

[0090] When S tjj <B, a third evaluation level is obtained, indicating that the economic activities have seriously damaged the ecological environment, and the evaluation is unqualified.

[0091] In this embodiment, through the calculation of the ecological economic value evaluation index S tjj and the threshold comparison, the overall impact of economic activities on the ecological system can be accurately evaluated, and a clear level evaluation scheme is provided. By comprehensively considering the resource utilization benefit coefficient R util , the environmental protection contribution coefficient P env , and the environmental loss coefficient E loss , S tjj achieves all-around quantitative measurement of ecological economic value, considering not only the contribution of resource efficient utilization and environmental protection, but also the negative impact of environmental loss on the ecological system. The threshold comparison mechanism further improves the intelligence and operability of the system, and the evaluation result provides a clear improvement direction for policy makers and enterprises through level distinction. This evaluation method has significant improvement compared to the traditional single-dimensional evaluation system, which can effectively avoid one-sided measurement of the impact of economic activities on the ecological environment. Through reasonable allocation of weight coefficients W r , W p , and W e , the accuracy and objectivity of the evaluation result are ensured. In addition, by generating different level evaluation schemes, not only can the optimization of resource utilization and the improvement of environmental protection contribution of economic activities be guided, but also the potential risks of the ecological system can be warned, and sustainable development can be promoted.

[0092] Embodiment 5

[0093] This embodiment is an explanation in embodiment 1, please refer to Figure 1 Specifically: match the current collected resource utilization efficiency coefficient R util , environmental protection contribution coefficient P env and environmental loss coefficient E loss with historical data to generate time series data of each coefficient, analyze the change trend of resource utilization efficiency, environmental protection contribution and environmental loss based on time series, calculate the trend line of coefficient by using moving average and linear regression method, and combine with historical fluctuation data;

[0094] Resource utilization trend analysis Euse trend : ;

[0095] Environmental protection contribution trend analysis Econtribution trend :

[0096] ;

[0097] Environmental loss trend analysis Eloss trend : ;

[0098] Wherein, Euse t , Econtribution t and Eloss t represent the coefficient value at each time point, Euse avg , Econtribution avg and Eloss avg represent the historical average value, and n represents the number of time points;

[0099] When Euse trend rises, it means that the resource utilization efficiency is improving and the ecosystem is using resources more effectively;

[0100] When Econtribution trend rises, it means that the environmental protection contribution of the ecosystem is increasing;

[0101] When Eloss trend rises, it means that the environmental loss increases and the pressure on the ecosystem increases;

[0102] Based on the trend results, use time series model to predict the change of each coefficient in the future, and evaluate the development direction of future resource utilization efficiency, environmental protection contribution and environmental loss.

[0103] The report analyzes the current status, historical trends, and forecast data for each core coefficient, displaying the time series changes and future prediction trends of each coefficient through line charts, bar charts, and heat maps:

[0104] Line chart: shows the time series changes of resource utilization efficiency E use ;

[0105] Bar chart: compares the changes of different environmental contribution indicators in each year;

[0106] Heat map: shows the environmental loss level in different regions or time periods;

[0107] The final report is output in PDF or HTML format, automatically embedding dynamic charts, data analysis results, and trend predictions.

[0108] In this embodiment, through time series analysis and trend prediction, the historical changes and future trends of resource utilization benefit coefficient R util , environmental protection contribution coefficient P env , and environmental loss coefficient E loss can be accurately tracked. The application of moving average and linear regression methods effectively smooths short-term fluctuations in the data and reveals long-term trends. By generating E usetrend , E trend contribution, and E trend loss, the direction of change of resource utilization efficiency, environmental protection contribution, and environmental loss can be clearly determined, providing more forward-looking decision-making basis for policymakers and enterprises. An upward trend in resource utilization and environmental contribution indicates improvement, while an upward trend in loss provides an early warning to help take timely measures.

[0109] Although embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and alterations can be made without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. An ecological economic value assessment method based on data analysis, characterized in that: The method comprises the following steps: Step 1: Collect multi-dimensional data related to the ecosystem, including ecological environment indicators, natural resource utilization, species diversity and climate change impacts, obtain ecological resource utilization efficiency data, environmental protection contribution and environmental loss data; Step 2: Clean, denoise, outlier processing, standardization and missing value completion operations are performed on the collected multi-dimensional parameters; Step three: automatically process the parameter input through the established algorithm formula, calculate the corresponding coefficient value, and calculate the resource utilization benefit coefficient R based on the pre-processed parameters util , the environmental protection contribution coefficient P env , and the environmental loss coefficient E loss ; Step four: based on the calculated resource utilization benefit coefficient R util , environmental protection contribution coefficient P env and environmental loss coefficient E loss , calculate the ecological economic value evaluation index S tjj , compare the ecological economic value evaluation index S tjj 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, the trend of each coefficient is analyzed, and through the analysis of long-term resource utilization efficiency, environmental protection contribution and loss, the future development direction and potential risks are evaluated; Step six: automatically generate the ecological economic value assessment report, the report content includes: detailed analysis of each coefficient, trend analysis result, ecological economic value assessment index S tjj And the comparison result with the preset threshold, the report adopts the form of combination of charts, data and words, directly displays the evaluation result, and helps the managers to make strategic decisions; The resource utilization efficiency coefficient R util is calculated by the following formula: ； In the formula, W res represents the water resource utilization rate, S oilprod represents the soil productivity index, E prod represents the ecological productivity, R energy represents the renewable energy utilization rate, B res represents the biological resource development rate, respectively represent the weight coefficients of resource utilization efficiency, used to balance the contribution of each parameter to the resource utilization efficiency, represents the correction parameter for preventing the divisor from being zero; The environmental protection contribution coefficient P env The environmental protection contribution coefficient P is calculated by the following formula: ； wherein C seq represents carbon absorption, O zone represents ozone generation contribution, B div represents biodiversity index, G cover represents vegetation coverage, S retention represents soil retention rate, respectively represent weight values of each parameter, for balancing the influence of each contribution factor; The environmental wear coefficient E loss is calculated by the following formula: ； wherein P poll represents a pollution load index, D land represents a pollution load index carbon footprint coefficient, C foot represents a carbon footprint coefficient, W depletion represents a water resource consumption rate, E rosion represents a soil erosion rate, respectively represent a loss coefficient adjustment parameter; Based on the calculated resource utilization efficiency coefficient R util , the environmental protection contribution coefficient P env , and the environmental loss coefficient E loss , the ecological economic value evaluation index S tjj is calculated. The ecological economic value evaluation index S tjj The ecological economic value evaluation index S is calculated by the following formula: ； wherein R util represents a resource utilization benefit coefficient, P env represents an environmental protection contribution coefficient, E loss represents an environmental loss coefficient, W r , W p , and W e represent weight coefficients of the resource utilization benefit coefficient R util , the environmental protection contribution coefficient P env , and the environmental loss coefficient E loss , respectively.

2. The ecological economic value assessment method based on data analysis according to claim 1, characterized in that: Through water resource management sensors, soil nutrition detectors, ecological satellite monitoring equipment, intelligent power grid metering equipment and unmanned aerial vehicle monitoring, indicators related to the ecological environment are collected to obtain: water resource utilization rate W res , soil productivity index S oilprod , ecological productivity E prod , renewable energy utilization rate R energy and biological resource development rate B res ; By means of weather stations and CO2 concentration monitors, ozone detectors, drones, ecological satellite image processing systems and soil erosion monitors, the contribution of the ecosystem to environmental protection and ecological restoration is measured, obtaining: carbon absorption C seq , ozone generation contribution O zone , biodiversity index B div , vegetation cover G cover and soil retention S retention ; Through the air quality monitoring system, satellite ground monitoring system, carbon emission detection system, water quality and quantity monitoring instrument and geological radar, data related to environmental loss are collected, including pollution load index P poll , pollution load index D land , carbon footprint coefficient C foot , water resource consumption rate W depletion and soil erosion rate E rosion .

3. The ecological economic value assessment method based on data analysis according to claim 1, characterized in that: Identify and remove invalid, duplicate or incomplete data records, use signal smoothing and filtering algorithms to process 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, normalize different sources and different dimensions of data through normalization technology, and fill in the missing values in the data set through interpolation, mean completion and regression prediction methods.

4. The ecological economic value assessment method based on data analysis according to claim 3, characterized in that: By ecological economic value assessment index S tjj In comparison with the preset first threshold value V and the preset second threshold value B, three levels of assessment schemes are generated: When S tjj ≥ V, a first evaluation grade is obtained, indicating that the contribution of economic activity to the ecosystem is more than 30% higher than the standard, and the evaluation is excellent; When B < S tjj When V < S, a second assessment rating is obtained, indicating that the economic activity has no negative impact on the ecosystem, and is assessed as satisfactory; When S tjj At the time <B, a third assessment rating is obtained, indicating that economic activity has severely damaged the ecological environment, and the assessment is rated as failing.

5. The ecological economic value assessment method based on data analysis according to claim 1, characterized in that: The resource utilization efficiency coefficient R util , the environmental protection contribution coefficient P env and the environmental loss coefficient E loss are matched with historical data to generate time series data of each coefficient, the change trend of resource utilization efficiency, environmental protection contribution and environmental loss is analyzed based on the time series, the trend line of the coefficient is calculated by using the moving average and linear regression method, and the historical fluctuation data is combined; Resource utilization trend analysis Euse trend : ; Econtribution trend : ； environmental loss trend analysis Eloss trend : ; where Euse t , Econtribution t , and Eloss t represent the coefficient values at each time point, Euse avg , Econtribution avg , and Eloss avg represent the historical average values, and n represents the number of time points. When Euse trend An increase indicates that resource use efficiency is increasing and that the ecosystem is using resources more efficiently. When Econtribution trend increases, it indicates that the environmental protection contribution of the ecosystem is increasing; When Eloss trend increases, it indicates that environmental losses are increasing and that the ecosystem is facing greater pressure. Based on the trend results, use time series model to predict the future changes of each coefficient, and evaluate the future development direction of resource utilization efficiency, environmental protection contribution and environmental loss.

6. The ecological economic value assessment method based on data analysis according to claim 1, characterized in that: The report analyzes the current state, historical trends and prediction data of each core coefficient, and displays the time series changes and future prediction trends of each coefficient through line charts, bar charts and heat maps: Line graph: shows the time series change in resource utilization efficiency E use . Bar chart: Compare the changes of different environmental contribution indicators in each year; Heat map: Display the environmental loss level in different regions or time periods; The final report is output in PDF or HTML format, automatically embedding dynamic charts, data analysis results and trend predictions.

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