Economic ecological production total value accounting system based on multi-source data fusion

Abstract

The invention relates to the technical field of GEEP accounting, in particular to an economic and ecological total production value accounting system based on multi-source data fusion, which comprises a multi-source data collection and management module, a GEEP accounting module and an authority management module. In the aspect of data processing, the GEEP accounting platform integrates multi-source real-time data such as remote sensing data and statistical data, the response speed and the analysis capability of economic and ecological data change are greatly improved by utilizing distribution, parallel and cooperative computing technologies, and in the accounting analysis process, the data processing flow is optimized to realize quick positioning of a key change area, so that the calculation efficiency is improved. And the economic and ecological contribution of each region is dynamically evaluated, so that the resource allocation is more accurate, and in the aspect of system management, an intelligent authority management module based on role access control ensures the data security and improves the reliability of the accounting process, so that the GEEP accounting is integrally promoted to be converted from static lag to dynamic efficient business, and the safety of the system is improved. And more timely and accurate data support is provided for continuous ecological economic decision making.

Description

Technical Field

[0001] The present invention relates to the field of GEEP accounting technology, and in particular to a gross economic and ecological product accounting system based on multi-source data fusion. Background Art

[0002] GEEP (Gross Economic-Ecological Product) is a comprehensive accounting indicator designed to quantify the overall benefits of economic and ecological systems. The core purpose of GEEP (Gross Economic-Ecological Product) is to quantify the combined benefits of the economy and ecosystems, addressing the shortcomings of the single GDP evaluation system and incorporating the contributions of ecosystems into the assessment system.

[0003] Among them, the economic and ecological gross domestic product accounting system with multi-source data fusion is the main body for implementing GEEP accounting. By integrating information from different data sources, a comprehensive GEEP accounting framework is created. This framework can dynamically analyze and evaluate a wider range of economic and ecological environmental parameters. It mainly provides various organizations with an accurate and real-time economic and ecological gross domestic product accounting tool to more effectively evaluate and manage the ecological and environmental health and economic development of the region.

[0004] The existing technology has the following major problems: in terms of real-time response, the system cannot quickly respond to dynamic changes in the economy and ecological environment, and mainly relies on regularly updated data and manual accounting processes, resulting in delayed decision-making and lagging resource allocation; in terms of data support, GGDP accounting relies too much on historical data and lacks real-time data support, which seriously affects the timeliness and accuracy of accounting; in terms of system management, the authority management mechanism is not sufficiently automated and has low security standards, resulting in inefficient data access and updating, and security risks. The above problems not only reduce accounting efficiency and the reliability of accounting results, but also restrict the practical application value of GEEP accounting. Summary of the Invention

[0005] To address the existing problems of existing technologies in terms of real-time response, the system is unable to quickly respond to dynamic changes in the economy and ecological environment, and mainly relies on regularly updated data and manual accounting processes, resulting in delayed decision-making and lagging resource allocation; in terms of data support, GGDP accounting is overly dependent on historical data and lacks real-time data support, which seriously affects the timeliness and accuracy of accounting; in terms of system management, the authority management mechanism is not sufficiently automated and has low security standards, resulting in low efficiency in data access and updating, and the existence of security risks. The above problems not only reduce accounting efficiency and the reliability of accounting results, but also restrict the actual application value of GEEP accounting. The technical solutions are as follows: In one aspect, an economic ecological gross domestic product accounting system based on multi-source data fusion is provided, comprising: A multi-source data collection and management module acquires environmental statistical data, environmental quality data, public health data, geographic data, land use data, meteorological data, and hydrological data based on administrative divisions, and obtains a multi-source database by classifying and organizing the data according to formats and types. A GEEP accounting module analyzes environmental degradation, ecological destruction, and sudden ecological and environmental events in a region based on the multi-source database, acquires a loss of GGDP, analyzes the product supply value, regulation service value, and cultural service value of each region, acquires GEP, and constructs a GEEP index. A permission management module distributes different permissions according to user roles based on the GEEP index, matches the data access permissions of regional users with their actual work needs, dynamically manages temporary permissions, and generates a permission update state.

[0006] In another aspect, the multi-source database includes remote sensing monitoring data, site measurement data, and statistical data, the GEEP index includes a GGDP index and a regional GEP index, the GGDP index includes environmental degradation costs and ecological destruction losses, the regional GEP index includes product supply, regulation services, and cultural services, and the permission update state includes user permissions, department permissions, role permission management, dictionary management, access levels, and historical operation information.

[0007] In another aspect, the multi-source data collection and management module comprises: A multi-source data acquisition sub-module acquires environmental statistical data, environmental quality data, public health data, geographic data, land use data, meteorological data, and hydrological data based on administrative divisions, and obtains a multi-source data set. A data management sub-module classifies the multi-source data set into table data, raster data, parameter data, and constant data according to data types and formats, and performs addition, deletion, modification, and query on the data, and obtains a multi-source database.

[0008] In another aspect, the GEEP accounting module comprises: A GEP accounting sub-module analyzes the product supply value, regulation service value, and cultural service value of each region based on the multi-source database, combines with the land use proportion, evaluates the gross ecological product value of each region, and obtains a regional GEP index. A GGDP sub-module analyzes the losses caused by environmental degradation, ecological destruction, and sudden ecological and environmental events in a region based on the regional GEP index, combines with the multi-source database, combines with GDP, deducts the losses caused by unreasonable use of natural resources and ecological environment, including resource consumption costs, environmental degradation costs, ecological destruction costs, and sudden ecological and environmental events, and obtains a GGDP index. The accounting integration submodule analyzes the gross economic and ecological product of each region and ecosystem based on the GGDP indicator, combined with the GEP indicator and land use ratio, and constructs the GEEP indicator.

[0009] On the other hand, the regional GEP indicator adopts the formula: GEP = EPV + ERV + ECV; In the formula, GEP is the ecological product value, EPV is the material product value, ERV is the regulatory service value, and ECV is the cultural service value.

[0010] On the other hand, the GGDP indicator uses the formula: ; In the formula, GGDP is green GDP, GDP is gross domestic product, EnDC is the cost of environmental degradation, EcDC is the loss of ecological damage, and EaC is the loss of sudden ecological and environmental cases.

[0011] On the other hand, the GEEP indicator adopts the formula: ; In the formula, GEEP is the gross economic and ecological product, GGDP is the green GDP, and GEP is the gross ecosystem product. It is the overlapping part of GGDP and GEP.

[0012] On the other hand, the rights management module includes: The role management submodule analyzes the data access requirements of various regions based on the GEEP indicators, configures access rights, and obtains preset roles; The user management submodule distributes the permissions of the accounting platform to the user based on the preset role and the user's permission level, and generates a permission update status.

[0013] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least: In terms of data processing, the present invention uses the GEEP accounting platform to integrate multi-source real-time data such as remote sensing data and statistical data, and uses distributed, parallel, and collaborative computing technologies to greatly improve the response speed and analytical capabilities of changes in economic and ecological data. During the accounting and analysis process, the data processing flow is optimized to achieve rapid positioning of key change areas, and dynamically evaluate the economic and ecological contributions of various regions to make resource allocation more accurate. In terms of system management, the intelligent permission management module based on role-based access control ensures data security and improves the reliability of the accounting process, thereby promoting the overall transformation of GEEP accounting from static lag to dynamic and efficient business operations, and continuously providing more timely and accurate data support for ecological and economic decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 a schematic diagram of the system of the present application; Figure 2 a schematic diagram of the system framework of the present application; Figure 3 a flow chart of the multi-source data collection and management module of the present application; Figure 4 a flow chart of the GEEP accounting module of the present application; Figure 5 a flow chart of the permission management module of the present application. DETAILED DESCRIPTION

[0016] The technical solutions in the present application will be described below in combination with the drawings.

[0017] In the embodiments of the present application, the words such as “example”, “for example” are used to represent as an example, illustration or description. Any embodiment or design scheme described as “example” in the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. In fact, the word “example” is intended to present the concept in a specific way. In addition, in the embodiments of the present application, the meaning expressed by “and / or” can be both, or can be one of the two.

[0018] In the embodiments of the present application, “image” and “picture” can be used interchangeably at times. It should be pointed out that when the distinction is not emphasized, the meanings expressed are consistent. “Of”, “corresponding” and “corresponding” can be used interchangeably at times. It should be pointed out that when the distinction is not emphasized, the meanings expressed are consistent.

[0019] In the embodiments of the present application, sometimes the subscript such as W1 can be written in the form of non-subscript such as W1. When the distinction is not emphasized, the meanings expressed are consistent.

[0020] In order to make the technical problems, technical solutions and advantages to be solved by the present application more clear, the present application will be described in detail below in combination with the drawings and specific embodiments.

[0021] The embodiments of the present application provide an economic ecological gross production accounting system based on multi-source data fusion, as shown in Figure 1 the system comprises: The multi-source data collection and management module obtains environmental statistical data, environmental quality data, public health data, geographic data, land use data, meteorological data, and hydrological data based on administrative divisions, and obtains a multi-source database by classifying the data according to formats and types. The GEEP accounting module obtains the loss of GGDP by analyzing environmental degradation, ecological damage, and sudden ecological and environmental events in the region based on the multi-source database, analyzes the product supply value, regulation service value, and cultural service value of each region to obtain GEP, and constructs GEEP indicators. The permission management module distributes different permissions according to user roles based on the GEEP indicators, matches the data access permissions of regional users with their actual work needs, dynamically manages temporary permissions, and generates permission update states.

[0022] The multi-source database includes meteorological data, soil site data, water consumption data, crop yield, digital elevation model data, land use data, land evaporation data, soil type data, vegetation net primary productivity data, snow depth data, normalized vegetation index data, and soil mechanical composition data. The GEEP indicators include GGDP indicators and regional GEP indicators. The GGDP indicators include human health loss (air pollution), planting yield loss, outdoor building material corrosion loss, increased cost of life cleaning, human health loss (water pollution), pollution water loss, agricultural loss caused by pollution irrigation, industrial water additional treatment cost, household clean water cost caused by water pollution, agricultural land soil pollution repair cost, construction land pollution plot repair cost, mine repair cost, solid waste land loss, and ecological damage cost. The regional GEP indicators include product supply, regulation service, and cultural service, and the regulation service mainly includes water source conservation, soil conservation, wind prevention and sand fixation, coastal protection, flood storage, carbon fixation, oxygen supply, air purification, water purification, climate regulation, species conservation, and the like. The permission update states include user permissions, organization permissions, role permission management, dictionary management, access level, and historical operation information.

[0023] Data access permissions refer to the right to use and manage the collected multi-source data. Permissions determine which individuals or organizations can access the data and to what extent the data can be processed, meaning that the data access permissions of each account should meet the needs of their actual work.

[0024] As shown in Figure 2 and Figure 3 , the multi-source data collection and management module includes: The multi-source data acquisition submodule obtains environmental statistical data, environmental quality data, public health data, geographic data, land use data, meteorological data, and hydrological data based on administrative division, to obtain a multi-source data set. The multi-source data acquisition submodule adopts a hierarchical aggregation mechanism. After each level of organization collects, organizes, and audits the data in the jurisdictional area on an annual basis, the data is uploaded to a unified database through standardized forms. The system divides the target area into several data collection nodes based on administrative division as the basic unit, each node is associated with an administrative division code (such as XZQH-610113 representing a certain city high-tech zone) and a geographic grid code (such as GeoGrid-25N-118E), forming a spatially traceable data architecture. In the data flow process, the primary unit first collects the raw data and completes the preliminary verification. For example, the county-level statistical department aggregates the annual output value of manufacturing enterprises in the jurisdiction, and the 2025 output value of a certain electronic manufacturing plant (record number C001) is 120 million yuan. After being audited by the local industrial and information technology bureau, the city-level department conducts logical and completeness checks, and finally uploads the data to the central database through the provincial government platform, and the data is marked as [year: 2025, administrative division: XZQH-610113, data type: manufacturing output value]. Environmental monitoring data also implements a three-level audit system. The county-level environmental protection department integrates the annual energy consumption data of enterprises in the jurisdiction (such as the 124 million kilowatt-hours of annual electricity consumption of steel enterprise EN005 verified by the county-level environmental protection department), the city-level environmental monitoring station reviews the abnormal values, and finally the provincial ecological environment department submits through a special form; The ecological index data is aggregated by the district and county environmental protection bureau, and the annual average value of the monitoring station in the jurisdiction (such as the ENV201 station PM2.5 annual average concentration of 42 μg / m³), after excluding invalid data by the city-level quality control platform, is stored in a structured manner according to the [year-coordinate-index type] structure. All data uploaded must be accompanied by three levels of audit marks (primary review / review / terminal review) and electronic signatures of the person in charge, ensuring the integrity and traceability of the data chain, and finally building a four-level data governance system of "primary collection-district aggregation-city review-provincial upload", forming a multi-source database with both spatial and temporal attributes and administrative responsibility relationships.

[0025] The data management submodule utilizes the multi-source data set, organizes it into table data, raster data, parameter data, and constant data according to data types and formats, and performs addition, deletion, modification, and query on the data, to obtain a multi-source database.

[0026] The data management submodule organizes the collected multi-source data into tabular data (such as corporate economic indicators), raster data (such as remote sensing images), parameter data (such as environmental monitoring thresholds), and constant data (such as administrative division codes) according to data type and format, and supports data addition, deletion, modification, and query operations. In terms of time series analysis, the system extracts records of a certain type of indicator at different time points to construct a time series, and compares the current value with historical data to assess the trend of change. For example, the tertiary industry turnover in a certain place in April 2025 is 90 million yuan, while the data for the previous three months are 86 million, 87 million, and 89 million, respectively. The system calculates that the current value is 3.05% higher than the historical average (87.33 million), and determines the volatility by calculating the standard deviation (1.483 million). If the subsequent data continues to deviate from the mean, it is marked as a trend change. Anomaly detection uses a threshold method. Anomalies are identified when a certain indicator value exceeds ±2 standard deviations from the historical average. For example, if agricultural output value exceeds the normal range three times within a week with relatively short intervals, it will be recorded as a key concern. For electricity consumption data, the system calculates the differences in energy consumption per unit time across different enterprises. If a sudden increase in energy consumption in an industrial park exceeds the historical average by 20%, it is considered an abnormal fluctuation. All abnormal data is marked with the collection time, location, and anomaly type (such as "sudden increase," "sudden drop," or "sustained deviation") and stored in an anomaly data pool for subsequent verification, forming a closed-loop management process of "data cleaning - time series analysis - threshold alarms - anomaly archiving."

[0027] like Figure 2 and Figure 4 As shown, the GEEP accounting module includes: The GEP accounting submodule analyzes the product supply value, regulatory service value, and cultural service value of each region based on a multi-source database, and evaluates the gross ecosystem product of each region in combination with the land use ratio to obtain the regional GEP index; Regarding product supply, we use a multi-source database to analyze the agricultural, forestry, animal husbandry, fishery and other products and ecological energy output of each region, and use the market value method to calculate the value of the material products and services of the ecosystem to obtain product supply indicators; Product supply indicators, using the formula: ; Where: Vm is the value of ecosystem material products (yuan / year); Yi is the output of ecosystem products of type i (determined by the product's measurement unit, such as kg / a); Pi is the price of ecosystem products of type i (determined by the product's measurement unit, such as yuan / kg); In terms of product supply, the market value method is used to accurately quantify the output value of ecosystem material products based on county-level administrative units. This module integrates annual production data (Yi) and real-time market prices (Pi) for industries such as agriculture, forestry, animal husbandry, fishery, and ecological energy in each county, and uses the formula Vm=∑(Yi×Pi) for county-by-county calculations. In specific implementation, the price of each product uses the average market transaction price of the year; Take the 2025 data of County A in a certain province as an example: the county's bamboo production is 500,000 pieces (equivalent to 25,000 m³, unit price 1,000 yuan / m³), white tea production is 1,500 tons (average price 600 yuan / kg), freshwater aquaculture production is 8,000 tons (average price 20 yuan / kg), and biomass power generation is 50 million kWh (electricity price 0.48 yuan / kWh). After calculation, Vm=(25,000 m³×1,000 yuan) + (1,500 tons×600,000 yuan / ton) + (8,000 tons×20,000 yuan / ton) + (50 million kWh×480,000 yuan / kWh) = 250 million yuan + 900 million yuan + 160 million yuan + 24 million yuan = 1.334 billion yuan. The system is synchronously connected to the price database of the agricultural product trading platform. When it monitors that the price fluctuation of a certain type of product exceeds 15% (such as the quarterly increase in timber prices reaches 20%), it automatically activates the price smoothing algorithm to ensure that the accounting results are objective and accurate. The final output includes a multi-dimensional analysis report on product category structure, spatial distribution and value contribution rate, providing a pricing benchmark for application scenarios such as ecological product trading and green finance.

[0028] For regulation services, we use a multi-source database to calculate indicators for each region, including water conservation, soil conservation, wind and sand fixation, coastal protection, flood storage, carbon fixation, oxygen supply, air purification, water purification, climate regulation, and species conservation, to generate ecological regulation service indicators. Ecological regulation service indicators use the formula: ERS=WCS+SCS+SFS+CPS+FRS+CFS+OSS+APS+WPS+CRS+SCS; Where: ERS is ecological regulation service, WCS is water conservation service, SCS is soil conservation service, SFS is windbreak and sand fixation service, CPS is coastal protection service, FRS is flood storage service, CFS is carbon fixation service, OSS is oxygen service, APS is air purification service, WPS is water purification service, CRS is climate regulation service, and SCS is species conservation service.

[0029] The value of ecosystem regulation services is quantified through multi-source data fusion technology, integrating data from hydrological monitoring, soil surveys, meteorological observations, and biodiversity surveys. The aforementioned formula is used for county-by-county calculations. Water conservation (WCS) uses the water balance method to calculate runoff regulation multiplied by water price. Flood regulation (FRS), also based on the water balance method, focuses on calculating the flood reduction capacity of wetlands and reservoirs. Soil conservation (SCS) uses the RUSLE model to estimate reduced soil loss multiplied by the opportunity cost of land. Air purification (APS) uses a pollutant purification model to quantify the amount of pollutants such as PM2.5 and SO2 adsorbed by vegetation. Water purification (WPS) uses a pollutant migration and transformation model to calculate the purification efficiency of wetlands and riparian zones for pollutants such as nitrogen and phosphorus. Carbon fixation (CFS) is calculated by multiplying vegetation net primary productivity by carbon trading price. Oxygen provision (OSS) uses a photosynthetic oxygen release mechanism model to estimate oxygen release by carbon sequestration. Climate regulation (CRS) uses an evapotranspiration model to assess the effect of vegetation on regulating temperature and humidity. The species conservation coefficient (SCS) is based on 11 indicators, including the area of ​​endangered species' habitat × conservation cost coefficient.

[0030] Take the data of County A in a certain province in 2025 as an example: Using the water balance method, the county's annual water conservation capacity reached 250 million cubic meters (valued at 125 million yuan) and flood storage capacity reached 120 million cubic meters (valued at 36 million yuan). Using the RUSLE model, the county's soil conservation capacity reached 800,000 tons (valued at 24 million yuan). Based on photosynthesis mechanisms and carbon sink trading prices, the county calculated carbon sequestration at 150,000 tons (valued at 30 million yuan) and oxygen release at 90,000 tons (valued at 18 million yuan). Using a pollutant transport model, the county estimated air purification of 500 tons of particulate matter (valued at 8 million yuan) and water purification of 800 tons of COD and 200 tons of ammonia nitrogen (valued at 12 million yuan). Using an evapotranspiration model, the county quantified climate regulation benefits as equivalent to electricity savings of 5 million kilowatt-hours (valued at 2.25 million yuan). Furthermore, the protected habitat of 2,000 hectares of rare species was valued at 10 million yuan. Based on a multi-indicator integrated calculation, the county's total annual ecological regulation service value reached 265.25 million yuan. The system verifies the synergy of various indicators through GIS spatial analysis. When the value of a service deviates from the regional mean by 2 standard deviations (for example, the carbon sequestration value in a county suddenly drops by 40%), it automatically triggers an ecological red line warning and links it to NDVI change data to verify the cause. Ultimately, it generates a special report that includes the composition of regulatory service value, spatial heterogeneity, and dynamic change trends, providing a scientific basis for the formulation of ecological compensation standards.

[0031] For cultural services, based on a multi-source database, the travel cost method is used to calculate the intangible value of people experiencing the aesthetic value of ecosystems and natural landscapes through leisure tourism activities, and the knowledge and spiritual pleasure they gain, thus obtaining cultural service indicators. Cultural service indicators use the formula: ; ; ; Where: It represents the leisure tourism value of the accounted location (yuan / year); represents the total number of tourists from place j to the accounting area (person / year); Indicates the region where tourists visiting the calculated location are located (regions are divided into concentric circles based on the distance from the calculated location, such as within the province, outside the province, etc.); represents the average travel cost of tourists from place j (yuan / person); represents the average time (days / person) that tourists from place j spend on the road and in the accounting area; represents the local average wage of tourists from place j (yuan / (person·day)); represents the average direct travel expenses of tourists from place j (yuan / person), which includes the transportation costs of tourists from place j to the accounting area. (Yuan / person), food and accommodation expenses (Yuan / person) and ticket fees (Yuan / person).

[0032] Based on county-level administrative units, the travel cost method is used to quantify the leisure tourism value provided by ecosystems. This module constructs a multi-layered tourist source model, dividing tourist source regions (j = 1, 2, ..., J) into distance zones, such as "within the province 0-100 km," "within the province 100-300 km," and "outside the province." For each region, data on visitor volume (Nj), travel time (Tj), wage level (Wj), and direct costs (Cj) are collected. The calculation is performed using the formula Vr = ∑(Nj × TCj), where TCj = Tj × Wj + Cj, where Cj includes transportation costs (Ctc, j), accommodation and boarding costs (Clf, j), and entrance fees (Cef, j).

[0033] Take the data of County A in a certain province in 2025 as an example: 1) The number of tourists in the "0-100km within the province" zone (Hangzhou, Huzhou, etc.) is 800,000, with an average travel time of 1.5 days per person. The average daily wage is 300 yuan, transportation costs are 80 yuan, food and accommodation costs are 400 yuan, and entrance fees are 120 yuan. Calculated cost per person is TC1 = 1.5 × 300 + (80 + 400 + 120) = 1,050 yuan. 2) 500,000 tourists in the "100-300km within the province" (Ningbo, Wenzhou, etc.): TC2 = 2 × 280 + (150 + 500 + 120) = 1,230 yuan per person; 3) 300,000 tourists from other provinces, TC3 = 3 x 350 + (500 + 800 + 120) = 2470 yuan / person. After weighted calculation, the annual leisure tourism value Vr = 80 x 1050 + 50 x 1230 + 30 x 2470 = 8.4 + 6.15 + 7.41 = 21.96 billion yuan. The ranking adjustment submodule compares the contribution differences of each county through spatial autocorrelation analysis. For example, if it is found that the tourism value of Anji County is 40% higher than the average of the surrounding three counties, the priority of Anji County in the Yangtze River Delta ecological tourism belt will be increased by 2, and a three-dimensional ranking report containing tourist structure, consumption characteristics and regional contribution will be generated, providing decision support for ecological tourism resource allocation.

[0034] The regional GEP index is calculated using the formula: GEP = EPV + ERV + ECV In the formula: GEP is the value of ecological products, EPV is the value of material products, ERV is the value of adjustment services, and ECV is the value of cultural services.

[0035] The GGDP submodule calculates the GGDP index based on the regional GEP index, combined with multi-source database analysis of environmental degradation, ecological damage and sudden ecological environmental events in the region, combined with GDP, deducting the loss caused by unreasonable use of natural resources and ecological environment, including resource consumption cost, environmental degradation cost, ecological damage cost and sudden ecological environmental events. For environmental degradation cost, based on multi-source database, the cost of environmental degradation caused by air pollution, water pollution and soil pollution is calculated, including the cost of environmental degradation caused by air pollution, which mainly includes four parts: human health loss, planting industry output value loss, outdoor building material corrosion loss, and increased cost of living cleaning. The cost of environmental degradation caused by water pollution mainly includes human health loss, pollution-type water shortage loss, agricultural loss caused by sewage irrigation, industrial water additional treatment cost caused by water pollution, and household clean water cost. Soil pollution degradation cost includes soil remediation cost and solid waste land loss. Soil pollution remediation cost needs to determine the pollution land and the remediation fund per unit area of pollution land, mainly including agricultural land pollution land, construction land pollution land and mine pollution land. The environmental degradation cost index is calculated using the formula: EnDC = EnDCa + EnDCw + EnDCs In the formula: EnDC is the environmental degradation cost, EnDCa is the air pollution environmental degradation cost, EnDCw is the water pollution environmental degradation cost, and EnDCs is the soil pollution environmental degradation cost. The economic losses caused by air, water and soil pollution in each region are quantified, and the total cost of environmental degradation is finally calculated. Taking the data of a city in 2025 as an example: the cost of air pollution accounting includes (1) human health loss, according to the increase of 5000 person-time of respiratory system disease, the total cost is 100 million yuan according to the per capita medical cost of 2000 yuan; (2) planting industry loss, 8% reduction of vegetable production due to PM2.5 exceeding standard, loss of 400 million yuan according to annual output of 5 billion yuan; (3) building material corrosion loss, according to the model of sulfur dioxide concentration and metal corrosion rate, the building maintenance cost increases by 120 million yuan; (4) living cleaning cost, household cleaning frequency increases by 30% due to the increase of dust fall, the total cost is 400 million yuan according to the annual household expenditure increase of 200 yuan and 2 million households in the city, the total cost of air pollution is 562 million yuan. The cost of water pollution calculation includes (1) health loss, 300 million yuan of treatment cost of digestive diseases; (2) industrial water treatment cost, 8000 million yuan of annual expenditure increase due to water quality deterioration; (3) agricultural loss, 6000 million yuan of loss due to 10% reduction of grain production caused by sewage irrigation; (4) household water purification equipment purchase cost, 50 million yuan of annual increase, the total cost of water pollution is 220 million yuan. The cost of soil pollution includes (1) 50 hectares of farmland remediation, 3750 million yuan according to 50 million yuan per hectare; (2) 20 hectares of industrial land remediation cost, 120 million yuan; (3) land value reduction caused by solid waste occupation, 3000 million yuan, the total cost of soil pollution is 1875 million yuan. Finally, the total cost of environmental degradation in the city in 2025 is 9.695 billion yuan, which is the sum of the cost of air pollution (562 million yuan), the cost of water pollution (220 million yuan) and the cost of soil pollution (1875 million yuan). All cost items are related to specific pollution monitoring data and economic loss model, and the data reasonableness is verified through volatility analysis. If the cost of a certain item increases by more than 20% compared with the previous year, it is marked as abnormal, forming a complete accounting chain of "pollution source-impact path-economic loss", providing quantitative basis for environmental governance decision-making; For the cost of environmental degradation, the ecological damage value of different ecosystems is calculated by multiplying the value of different ecosystem services by the rate of human damage to different ecosystems, and the result of ecological damage loss is generated; The ecological damage loss index is calculated by the formula: ; In the formula, EcDC is the ecological damage loss, ERSf, ERSg, ERSw and ERSl are the ecological regulation services provided by forest, grassland, wetland and farmland respectively, HRf is the human damage rate of forest (%), HRw is the human damage rate of wetland (%), HRg is the human damage rate of grassland (%), and HRl is the human damage rate of cultivated land (%); The ecological damage loss submodule is based on the ecosystem service function value evaluation system of county-level administrative units. By quantifying the product of the service value of different ecosystems in each county unit and the human destruction rate, the regional ecological damage loss is generated by hierarchical aggregation. This module first calls the annual regulation service value data of four types of ecosystems (forest (ERSf), grassland (ERSg), wetland (ERSw), and farmland (ERSl)) in each county (district) (with county as the smallest accounting unit), combines the corresponding human destruction rate of the ecosystem, and uses the formula to calculate and aggregate county by county. Among them, the ecological regulation service value of each county (ERS) is obtained by multiplying the unit area ecological service value (such as forest water conservation value 500,000 yuan / acre / year, grassland carbon sequestration value 200,000 yuan / acre / year, etc.) by the actual ecosystem area of the county; The human destruction rate (HR) is calculated based on county-level land use change survey and remote sensing interpretation data, such as the proportion of forest cutting area to the total forest area in the county, the proportion of wetland reclamation area, etc. For example, the data of County A in a certain province in 2025 is as follows: The forest area of the county is 20,000 acres, the unit service value is 600,000 yuan / acre / year, ERSf=1.2 billion (including water conservation 600 million, carbon sequestration 400 million, etc.); The forest cutting area is 240 acres, HRf=1.2%; The grassland area is 15,000 acres, the unit value is 30,000 yuan / acre / year, ERSg=4.5 billion, the degradation area is 420 acres, HRg=2.8%; The wetland area is 8,000 acres, the unit value is 100,000 yuan / acre / year, ERSw=8 billion, the reclamation area is 280 acres, HRw=3.5%; The farmland area is 30,000 acres, the unit value is 20,000 yuan / acre / year, ERSl=6 billion, the pollution and abandoned area is 570 acres, HRl=1.9%; The ecological damage loss EcDC of County A in 2025 is calculated as follows: EcDC=12x1.2%+4.5x2.8%+8x3.5%+6x1.9%=0.144+0.126+0.28+0.114=0.664 billion yuan. The calculation results of all county-level units are aggregated and verified at the municipal and provincial levels. If the destruction rate of a certain type of ecosystem in a county deviates from the average of the surrounding counties by more than 30% (such as the wetland destruction rate of County B reaching 7% while the average of the surrounding counties is 3%), the system automatically triggers a spatial anomaly warning, correlates the county's construction project approval data for verification, and finally generates an evaluation report containing provincial, municipal, and county-level loss details and spatial heat maps, providing precise data support for differentiated ecological compensation and land space repair planning.

[0036] The GGDP index is calculated using the formula: ; In the formula, GGDP is the green GDP, GDP is the gross domestic product, EnDC is the environmental degradation cost, EcDC is the ecological damage loss, and EaC is the loss of sudden ecological and environmental cases.

[0037] The accounting integration sub-module analyzes the economic and ecological gross production value of each region and each ecosystem based on the GGDP index, combined with the GEP index and the land use ratio, and constructs the GEEP index.

[0038] For the overall calculation of GEEP, based on the calculation results of GGDP and GEP indexes, the economic and ecological gross production value of the evaluation region is calculated to obtain the calculation results of the GEEP index of the region; The GEEP index uses the formula: GEEP=GGDP+GEP-(GGDP∩GEP); =(GDP-EnDC-EcDC-EaC)+(EPS+ERS+ECS)-(EPS+ECS); =(GDP-EnDC-EcDC-EaC)+ERS; In the formula, GGDP is green GDP, GEP is gross ecosystem production, GGDP∩GEP is the repeated part of GGDP and GEP, GDP is gross domestic product, EnDC is environmental degradation cost, EcDC is ecological damage cost, EaC is sudden ecological environmental event loss, ERS is ecosystem regulation service, EPS is ecosystem product supply service, and ECS is ecosystem cultural service.

[0039] Based on the county-level administrative unit, the regional economic and ecological gross production value is calculated through multi-dimensional index integration. The formula used is: GEEP=GGDP+GEP-(GGDP∩GEP)=[GDP-(EnDC+EcDC+EaC)]+ERS In the formula: GGDP (green GDP) is obtained by deducting environmental degradation cost (EnDC), ecological damage cost (EcDC), and sudden ecological event loss (EaC) from traditional GDP; GEP (gross ecosystem production) includes product supply (EPS), regulation service (ERS), and cultural service (ECS); the repeated calculation part (GGDP∩GEP) is mainly EPS and ECS.

[0040] Take the data of a county in a province in 2025 as an example: 1) Calculate GGDP: The county's GDP is 580 billion yuan, deducting the environmental degradation cost of 9.7 billion yuan (EnDC), the ecological damage loss of 6.6 billion yuan (EcDC), and the sudden mountain fire loss of 0.5 billion yuan (EaC), we get GGDP = 580 - (9.7 + 6.6 + 0.5) = 563.2 billion yuan; 2) Calculate GEP: The value of adjustment services (ERS) is 3.2 billion yuan (including water conservation, carbon sequestration and oxygen release, etc.), the value of product supply (EPS) is 13.3 billion yuan (including bamboo, tea, etc.), and the value of cultural services (ECS) is 22 billion yuan (the value of leisure tourism). Since EPS and ECS have been included in GDP statistics, only ERS is retained as a non-repeating calculation item; 3) Finally, GEEP = 563.2 + 3.2 = 566.4 billion yuan. The system ensures the logical consistency of the calculation through a data verification mechanism. If it finds that the ERS value of a county is abnormally high (more than 5% of GDP), it will automatically trigger a data quality check and generate a comprehensive report including calculation details, repeated item elimination instructions, and regional comparative analysis, providing quantitative basis for regional sustainable development assessment.

[0041] According to the GGDP index, GEP index and land use data, the economic ecological production value of different ecosystems in different regions is statistically analyzed to obtain the total value calculation results of GEEP of different ecosystems.

[0042] Based on the county-level administrative unit, the economic ecological production value of different ecosystems is accurately calculated by integrating the GGDP index and rasterized GEP data (30m x 30m resolution). This module adopts the technical route of "spatial overlay-type extraction-value aggregation": first, the land use vector data (including forest, wetland, farmland, etc.) and the GEP value raster are overlaid and analyzed, and the ZonalStatistics tool is used to extract the GEP value of each raster cell of each ecosystem; at the same time, the GGDP contribution is decomposed according to the ecosystem type, and finally the total value of the ecosystem is calculated by the formula GEEP_ecosys = GGDP_ecosys + GEP_ecosys. The specific implementation process includes: (1) Spatial matching: The 1:10000 land use map is geographically matched with the GEP value raster to ensure that the pixel boundaries are aligned; (2) Type extraction: Use the ExtractbyMask function of ArcGIS to extract the GEP raster values within the range of each type of ecosystem such as forest and wetland; (3) Value calculation: Sum the extracted raster cells, such as the total GEP value of all raster cells within the range of the forest ecosystem in a county.

[0043] Taking the data of a certain province A county in 2025 as an example: the forest ecosystem (accounting for 45%) obtains the GEP value of 420 million yuan (including carbon sink 180 million + water conservation 240 million) through grid extraction, superimposes the forestry GDP of 530 million yuan, and calculates the GEEP forest of 950 million yuan; the wetland ecosystem (8%) GEP value is 310 million yuan (biodiversity 210 million + flood control 80 million), superimposes the aquaculture GDP of 120 million yuan to obtain the GEEP wetland of 430 million yuan; the urban ecosystem (22%) GEP value is 180 million yuan (heat island regulation 120 million + green space rest 60 million), and the GEEP city is 500 million yuan according to the correction of the tertiary industry GDP according to the green area ratio. The system automatically verifies the consistency of the data through the grid calculation engine, when detecting that the GEP grid value of a certain wetland patch suddenly changes (the difference between adjacent pixels is more than 50%), automatically associate the same period Sentinel-2 image to verify the land type, finally output the technical report containing the spatial distribution map of each ecosystem GEEP, type contribution rate and grid calculation parameter, provide the decision basis of kilometer level precision for the ecological compensation standard.

[0044] As shown in Figure 2 and Figure 5 , the permission management module comprises: The role management submodule analyzes the data access requirements of various regions based on the GEEP index, configures access permissions, and obtains a preset role; The role management submodule comprises: role query, role addition, role modification, role deletion and configuration permission, the submodule configures permissions through the preset role, and facilitates permissions; The role management submodule realizes the whole-process configuration and management of platform roles based on permission control requirements. The submodule adopts a "role-permission" binding mechanism and provides differentiated function access control for users at different levels through preset role templates and custom permission combinations. The specific functions include: 1) role whole life cycle management (query / add / modification / deletion), supporting role template creation according to business scenarios; 2) fine-grained permission configuration, which can accurately control access to menu, button, and API interface levels; 3) permission inheritance mechanism, which supports batch inheritance and override of permissions through role groups. Taking a certain provincial GEP accounting platform as an example: the system presets a "provincial administrator" role (including all permissions such as user management, parameter configuration, report audit, etc.), a "city-level accountant" role (including data entry and result export permissions but limiting system configuration functions), and a "county-level query employee" role (only data viewing permission). When a city needs to add a "ecological auditor" special role, the administrator can copy the "city-level accountant" template, add "abnormal data marking" and "audit report generation" permissions, and complete role creation and permission configuration within 15 minutes. All role changes are synchronized in real time to the 87 associated function modules, and the version number mechanism is used to retain the modification history, ensuring that permission adjustments are traceable. This module is linked with the user management submodule. When the report export permission of the "city-level accountant" is modified, the permissions of related users in 23 cities across the province will be automatically updated, realizing efficient management of "one-time configuration, global effect".

[0045] The user management submodule distributes the permissions of the accounting platform to users according to their permission levels based on preset roles, and generates permission update status.

[0046] The user management submodule includes user query, user addition, user modification, user deletion, role assignment, password reset, and password modification, and distributes the permissions of the accounting platform to users according to their permission levels; The user management submodule realizes fine-grained permission control of multi-level users based on the organizational structure system. The submodule takes departments and users as management units and establishes a "department-role-permission" three-level control mechanism. The specific functions include: 1) user whole life cycle management (query / add / modification / deletion), supporting user retrieval according to department tree structure; 2) dynamic permission allocation, realizing batch configuration of accounting platform function permissions (such as data viewing, report exporting, parameter configuration, etc.) through role templates; 3) security policy implementation, including password strength mandatory rules, 90-day period modification reminders, and two-factor authentication options.

[0047] Taking the application of an ecological environment department of a province as an example: when a new planner Zhang in the planning department needs to access the GEP accounting platform, the administrator first creates a user account under the "provincial department-planning department" organization node, assigns the "city-level accountant" role (permissions include: basic data viewing, accounting result exporting but parameter modification is prohibited), and sets the initial password (the first login must be forced to change); when Zhang is transferred to the monitoring department, the administrator adjusts him to the "provincial department-monitoring department" node through the department change function, and synchronously updates the role to "monitoring analyst" (newly added monitoring data entry permission); for the staff Li who leaves the post, the system retains his operation log but disables the account login, and the module realizes function isolation through the permission matrix, for example, the city-level user can only operate the data in the jurisdiction, the provincial administrator can access across regions, and all permission changes generate audit logs to ensure compliance with relevant data security requirements.

[0048] It should be understood that the term "and / or" herein merely describes an association relationship of associated objects, and indicates that there can be three relationships, for example, A and / or B can represent three cases of A existing alone, A and B existing together, and B existing alone, where A and B can be singular or plural. In addition, the character " / " herein generally represents an "or" relationship between the front and rear associated objects, but can also represent an "and / or" relationship, which can be understood according to the context before and after.

[0049] In the present application, "at least one" means one or more, and "a plurality of" means two or more. "At least one of the following" or the like means any combination of the items, including any combination of single item or multiple items. For example, at least one of a, b, or c can represent a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, and c can be single or multiple.

[0050] It should be understood that in various embodiments of the present application, the size of the sequence number of the above processes does not mean the order of execution, and the execution order of the processes should be determined according to their functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0051] Those skilled in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0052] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the devices, apparatuses and units described above can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0053] In several embodiments provided by the present application, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, another division mode can be used. For example, a plurality of units or components can be combined or integrated into another device, or some features can be omitted or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0054] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e. can be located in one place or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0055] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0056] If the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the parts of the present application that essentially contribute to the prior art or the parts of the technical solutions can be embodied in the form of software products. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The foregoing storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various program code storage media.

[0057] The above merely illustrates the specific embodiments of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. The economic and ecological gross domestic product accounting system based on multi-source data fusion is characterized by: The system comprises: The multi-source data collection and management module obtains environmental statistics, environmental quality data, public health data, geographic data, land use data, meteorological data, and hydrological data based on administrative divisions, and organizes the data according to format and type to obtain a multi-source database; The GEEP accounting module analyzes environmental degradation, ecological damage and sudden ecological and environmental events in the region based on the multi-source database to obtain the lost GGDP, analyzes the product supply value, regulatory service value and cultural service value of each region, obtains GEP and constructs GEEP indicators; Based on the GEEP indicators, the rights management module distributes different rights according to user roles, matches regional user data access rights with their actual work needs, dynamically manages temporary rights, and generates a rights update status.

2. The economic and ecological gross domestic product accounting system based on multi-source data fusion according to claim 1 is characterized in that: The multi-source database includes remote sensing monitoring data, site measured data and statistical data; the GEEP indicators include GGDP indicators and regional GEP indicators; the GGDP indicators include environmental degradation costs and ecological damage losses; the regional GEP indicators include product supply, regulation services and cultural services; the permission update status includes user permissions, department permissions, role permission management, dictionary management, access levels and historical operation information.

3. The economic and ecological gross output value accounting system based on multi-source data fusion according to claim 1 is characterized in that: The multi-source data collection and management module includes: The multi-source data collection submodule obtains environmental statistical data, environmental quality data, public health data, geographic data, land use data, meteorological data and hydrological data based on administrative divisions to obtain a multi-source data set; The data management submodule utilizes the multi-source data set, organizes it into tabular data, raster data, parameter data and constant data according to data type and format, and performs addition, deletion, modification and query on the data to obtain a multi-source database.

4. The economic and ecological gross output value accounting system based on multi-source data fusion according to claim 1 is characterized in that: The GEEP accounting module includes: The GEP calculation submodule analyzes the product supply value, regulatory service value, and cultural service value of each region based on the multi-source database, and evaluates the gross ecosystem product of each region in combination with the land use ratio to obtain the regional GEP index; The GGDP submodule analyzes the losses caused by environmental degradation, ecological damage and sudden ecological and environmental events in the region based on the regional GEP indicators and the multi-source database. It deducts the losses caused by irrational use of natural resources and the ecological environment from GDP, including resource consumption costs, environmental degradation costs, ecological damage costs and sudden ecological and environmental events, to obtain the GGDP indicator. The accounting integration submodule analyzes the gross economic and ecological product of each region and ecosystem based on the GGDP indicator, combined with the GEP indicator and land use ratio, and constructs the GEEP indicator.

5. The economic and ecological gross output value accounting system based on multi-source data fusion according to claim 4 is characterized in that: The regional GEP index adopts the formula: GEP = EPV + ERV + ECV; In the formula, GEP is the ecological product value, EPV is the material product value, ERV is the regulatory service value, and ECV is the cultural service value.

6. The economic and ecological gross output value accounting system based on multi-source data fusion according to claim 4 is characterized in that: The GGDP indicator uses the formula: ； In the formula, GGDP is green GDP, GDP is gross domestic product, EnDC is the cost of environmental degradation, EcDC is the loss of ecological damage, and EaC is the loss of sudden ecological and environmental cases.

7. The economic and ecological gross output value accounting system based on multi-source data fusion according to claim 4 is characterized in that: The GEEP indicator uses the formula: ； In the formula, GEEP is the gross economic and ecological product, GGDP is the green GDP, and GEP is the gross ecosystem product. It is the overlapping part of GGDP and GEP.

8. The economic and ecological gross output value accounting system based on multi-source data fusion according to claim 1 is characterized in that: The rights management module includes: The role management submodule analyzes the data access requirements of various regions based on the GEEP indicators, configures access rights, and obtains preset roles; The user management submodule distributes the permissions of the accounting platform to the user based on the preset role and the user's permission level, and generates a permission update status.

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