Multi-element project environmental impact assessment approval system based on ecological environment zoning control

Abstract

The application discloses a multi-element project EIA (environmental impact assessment) approval system based on ecological environment zoning management and control, and relates to the technical field of project environmental impact assessment.The system comprises a project information input module, a project basic information extraction module, a rule base, a research and judgment analysis module and a project approval result output module.The research and judgment analysis module comprises a multi-element coupling analysis module, an ecological environment zoning management and control compliance analysis module and an approval management and control file research and judgment module.The multi-element coupling analysis module uses an environmental element simulation model to simulate different environmental element prediction data, obtain the compliance scores and relative importance weights of different environmental elements, and obtain the comprehensive compliance analysis result of the multi-elements.The ecological environment zoning management and control compliance analysis module and the approval management and control file research and judgment module compare and analyze the project basic information with the extracted rules in the corresponding management and control files, and realize the compliance analysis of the corresponding management and control files.The application realizes the automatic research and judgment of project approval, and improves the approval efficiency.

Description

Technical Field

[0001] This invention belongs to the field of environmental impact assessment technology, and in particular relates to a multi-element project environmental impact assessment approval system based on ecological environment zoning control. Background Technology

[0002] Currently, China lacks a comprehensive environmental impact assessment (EIA) approval (analysis) system. Existing EIA approval processes primarily rely on manual data processing, calculations, analysis, and report writing to assess project environmental impact. While some report writing has benefited from information technology, many more rely on calculating the pollution impact of individual elements, such as air, water, and soil, to provide supplementary analysis for the project's environmental impact assessment. Compliance analysis with laws, regulations, approval standards, and control requirements in project EIAs is still largely based on manual experience.

[0003] The ecological environment zoning control system is a source control system proposed in the field of ecological environment in recent years. Based on ecological protection red lines, environmental quality baselines, resource utilization ceilings, and ecological environment access lists, it aims to protect ecological functions and improve environmental quality. Through a technical system of "space + objectives + control requirements," it constructs a spatial management system and implements a differentiated and precise environmental management system for different regions, scientifically guiding various development, protection, and construction activities. During project environmental impact assessment approval, it is necessary to consider whether the project complies with the ecological environment zoning control requirements and conduct a compliance analysis. Current analysis mainly relies on spatial conflict analysis of ecological protection red lines, judging approval by whether the project is within the ecological protection red line. For compliance analysis of control requirements, more often, manual methods are used to locate the control unit, check its control requirements, and make judgments manually.

[0004] In summary, the main defects of existing technologies are: (1) Currently, there is a lack of project environmental impact assessment approval system in China. The manual writing method is slow, subjective, and may pose a risk of deliberately covering up problems, which challenges objectivity.

[0005] (2) The application of information technology is more focused on individual elements, such as air, water and soil. The pollution diffusion and impact analysis conducted by the model lacks a comprehensive analysis of the pollution impact of each element and a comprehensive decision-making process for the final choice.

[0006] (3) The application of information technology lacks the quantitative and rule-based extraction of textual requirements such as laws and regulations, emission standards, and control measures. A comprehensive automated analysis system for such textual requirements has not yet been built. Instead, manual verification and judgment are relied upon more, which is inefficient and may lead to misjudgment and lack of objectivity.

[0007] (4) Current methods for conducting compliance analysis of ecological and environmental zoning control requirements rely heavily on spatial conflict analysis of ecological protection red lines, judging whether a project passes the test by analyzing whether it is within the ecological protection red line. First, the judgment scale is too coarse and has little guiding significance. Second, there is a lack of application to other results of ecological zoning control, resulting in a waste of results. Third, even if someone compares the access requirements of the control unit where the project is located, it is mostly based on manual judgment, which is inefficient and lacks a unified standard.

[0008] Based on this, the present invention constructs a multi-element project environmental impact assessment and approval system based on ecological environment zoning control, which realizes the analysis of the pollution diffusion impact of environmental elements, laws and regulations, and ecological environment zoning compliance, provides objective project approval opinions, improves manual efficiency, and avoids the influence of subjective factors. Summary of the Invention

[0009] The purpose of this invention is to provide a multi-element project environmental impact assessment approval system based on ecological environment zoning control, in order to solve the problems mentioned in the background art, such as the reliance on manual experience for project environmental impact assessment, the lack of comprehensive analysis and decision-making on the pollution impact of various elements by the application of information technology, and the lack of quantitative and rule-based extraction of control text requirements.

[0010] To achieve the above objectives, the present invention employs the following technical solution: This invention proposes a multi-element project environmental impact assessment approval system based on ecological environment zoning control, including a project information input module, a project basic information extraction module, a rule base, a judgment and analysis module, and a project approval result output module; The project information input module is used to input information about projects awaiting approval in different document types. The project basic information extraction module extracts basic information about projects awaiting approval. The rule base is used to collect ecological and environmental zoning control requirements and approval control documents, and extract control requirement information; The analysis and judgment module includes one or more of the following: multi-factor coupling analysis module, ecological environment zoning control compliance analysis module, and approval control document analysis module. The extracted basic project information is input into each module of the analysis and judgment module respectively. The multi-factor coupling analysis module, based on the extracted basic project information, uses an environmental factor simulation model to simulate the predicted data of different environmental factors, obtains the conformity scores of the predicted data of different environmental factors and related project information, and analyzes the relative importance weights of different environmental factors and related project information to obtain the comprehensive conformity analysis results of multiple factors. The ecological environment zoning control compliance analysis module compares and analyzes the extracted basic project information with the rules extracted based on the corresponding control requirements information in the ecological environment zoning control requirements, thereby realizing the ecological environment zoning control compliance analysis. The approval and control document analysis module compares and analyzes the extracted basic project information with the rules extracted from the approval and control documents based on the corresponding control requirements information, thereby achieving compliance analysis of the approval and control documents.

[0011] Preferably, the basic project information extraction module is as follows: For project information pending approval of different document types, basic project information is extracted. The basic project information includes multi-format content of text and images. A vision-language joint pre-trained model is used to extract multimodal information and obtain the text features of the basic project information.

[0012] Preferably, the rule base is as follows: Information on ecological environment zoning control requirements and control documents is extracted and stored in a machine-readable logical form; the rule base is updated based on the latest changes in ecological environment zoning control requirements and control documents.

[0013] Preferably, the analysis process of the multi-element coupling analysis module is as follows: First, predictive data on project pollutants are obtained; based on the project's pollutant emissions, an environmental element simulation model is used to simulate the diffusion of project pollutants and obtain the amount of pollution from project pollutants within the affected area. Secondly, obtain the control requirements within the space; based on the project location and impact range, spatially overlay with the ecological environment zoning control system to obtain the environmental control unit where the impact range is located, and extract the control requirements of the corresponding environmental quality baseline and ecological environment access list for the environmental control unit; Finally, the environmental compliance analysis was conducted. The predicted data of project pollutants were compared and analyzed with the control requirements to obtain the compliance scores of project pollutants and related project information. A weight model based on the attention mechanism was used to obtain the relative importance weights of different environmental elements and related project information. The comprehensive compliance analysis results of multiple elements were obtained by weighted summation.

[0014] Furthermore, the environmental element simulation model adopts one or more of Aerscreen, Aermod, SLAB, AFTOX, and river uniform mixing numerical models to simulate the atmospheric environment, water environment, and soil environment. The obtained prediction data includes environmental quality prediction results, total pollutant prediction results, and pollution diffusion impact range prediction results.

[0015] Preferably, the attention-based weight model is constructed based on the Transformer encoder model; the attention-based weight model consists of N layers of encoders stacked together, each layer containing a multi-head self-attention mechanism and a feedforward network, and finally obtains weight prediction through global average pooling and a Softmax output layer.

[0016] Furthermore, the processing procedure of the attention-based weight model is as follows: First, input and mapping: The project feature vector is formed from the basic information of the project. The preprocessed project feature vector is then mapped to the query vector Q through a fully connected linear layer. Secondly, element embedding: Define a trainable environmental element embedding matrix E, where each row represents the feature vector of an environmental element. Use the environmental element embedding matrix E as both the key matrix K and the value matrix V. The attention calculation then proceeds as follows: the dot product similarity between the query vector Q and each key vector in the key matrix K is calculated and divided by the scaling factor to obtain the initial attention score. Finally, weight generation: The initial attention scores are input into the Softmax function for normalization, resulting in a set of dynamic weights that sum to 1.

[0017] Preferably, both the ecological environment zoning control compliance analysis module and the approval control document analysis module use machine learning models to extract rules, forming computer-recognizable information rules.

[0018] Preferably, both the ecological environment zoning control compliance analysis module and the approval control document judgment module adopt word embedding model. The word embedding model is used to compare and analyze the basic information of the project with the rules extracted in the corresponding module, and then the cosine theorem similarity calculation is performed.

[0019] Preferably, the ecological environment zoning control compliance analysis module is specifically as follows: Rules are extracted from the control requirements in the access lists corresponding to ecological protection red lines, general ecological spaces, environmental quality baselines, resource utilization ceilings, and ecological environment control units to form computer-recognizable information rules. Based on the comparison between basic project information and information rules, ecological protection red line analysis, general ecological space analysis, environmental quality baseline analysis, resource utilization ceiling analysis, and access list compliance analysis are conducted.

[0020] Preferably, the approval control document analysis module is as follows: Collect relevant approval and control documents, extract rules, and form computer-recognizable information rules; conduct a conformity analysis of relevant approval and control documents based on the comparison between basic project information and information rules.

[0021] Compared with the prior art, the beneficial effects of the present invention are: (1) The multi-element project environmental impact assessment approval system of the present invention constructs an automated process for project approval by independently developing a project information input module, a project basic information extraction module, an analysis and judgment module, a rule base and a project approval result output module. It couples the analysis and judgment of multiple environmental elements, ecological environment zoning control and control documents to realize automated analysis and judgment of project approval, improve approval efficiency and avoid the influence of subjective factors.

[0022] (2) The multi-element project environmental impact assessment approval system of this invention utilizes a self-developed multi-element coupling analysis module. Based on the ecological environment zoning control system, it takes the environmental control unit as the analysis scale and scope, extracts the environmental quality baseline control requirements, the access list control requirements of the environmental control unit, and the environmental element target indicator requirements in the control documents, clarifies the targets of environmental elements such as air, water, and soil, performs spatial coupling with the environmental control unit, and performs element target coupling with the control requirements. Combined with project information, it obtains the impact of the project on environmental quality, total environmental quantity, and pollution diffusion through environmental model simulation, compares the spatial and target requirements, and thus realizes the comprehensive evaluation and compliance analysis of multiple elements in the project approval and judgment.

[0023] (3) The multi-element project environmental impact assessment approval system of the present invention utilizes the self-developed ecological environment zoning control compliance analysis module to conduct compliance analysis on the access lists corresponding to ecological protection red lines, general ecological spaces, environmental quality baselines, resource utilization ceilings, and ecological environment control units, extract the control requirements into rules, realize rule informatization, establish an ecological environment zoning control requirements rule library, compare and delineate with project information, provide automatic compliance judgment of "space + rules", enrich the content of compliance analysis, improve judgment efficiency, and unify analysis standards.

[0024] (4) The multi-element project environmental impact assessment approval system in this invention utilizes expert learning to sort out laws, regulations, emission standards, control measures, and other control documents, sorting out judgment rules based on multiple dimensions such as location, industry, technology, and emissions, abstracting and extracting them, converting them into information formats, constructing computer-recognizable judgment rules, and establishing a control document control requirement rule library. It then compares and analyzes these rules with project information to assess the compliance of the control document requirements of the project to be approved, achieving automated processes, improving judgment and approval efficiency, and reducing the influence of human subjectivity. Attached Figure Description

[0025] Figure 1 This is a structural block diagram of the multi-element project environmental impact assessment approval system based on ecological environment zoning control in this invention; Figure 2 This is a structural block diagram of the multi-element coupling analysis module in this invention; Figure 3This is a structural block diagram of the ecological environment zoning control compliance analysis module in this invention; Figure 4 This is a structural block diagram of the approval and control document analysis module in this invention; Figure 5 This is a flowchart of the multi-element project environmental impact assessment approval system based on ecological environment zoning control in this invention. Detailed Implementation

[0026] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] Example 1: A multi-element project environmental impact assessment and approval system based on ecological environment zoning control, from Figure 1 The product mainly consists of five parts. The first part is the project information input module, providing users with the ability to input information about projects awaiting approval, including vector data, tabular data, and PDF data. The second part is the project basic information extraction module, used to extract the user-input project information through rule-based processing, including spatial location, industry type, production process, pollutant emissions, and conflict analysis with various layers and units of ecological environment zoning control. The third part is the analysis and judgment module, used to analyze and judge the environmental impact assessment of projects awaiting approval and provide the results, including a multi-factor coupling analysis module, an ecological environment zoning control compliance analysis module, and an approval control document analysis module. The fourth part is the rule base, which extracts information from ecological environment zoning control requirements and control documents, providing it for the analysis and judgment module. The fifth part is the project approval result output module, used to organize the analysis and judgment results and output them in a fixed format for easy archiving and use by users. The overall system is as follows: In this embodiment, a basic project information extraction module is constructed: For the project information input by the user, regular extraction is performed. After the project information is extracted, for multiple formats such as vector data, tables, and PDFs (especially scanned documents), an end-to-end information extraction is performed using a vision-language joint pre-trained model (OCR image recognition and large language model) to obtain relevant text information.

[0028] In this embodiment, the rule base focuses on rule-based expression and continuous optimization, as detailed below: The rule base can continuously sense changes in the external environment. The extracted control rules are stored in a machine-readable logical form (such as production rules and OWL axioms). The latest control rule changes and feedback from the analysis module are automatically or semi-automatically collected to optimize the rule base.

[0029] In this embodiment, the analysis module is divided into three parts: a multi-factor coupling analysis module, an ecological environment zoning control compliance analysis module, and a control document analysis module. (See also...) Figure 2-4 The system includes several modules: a multi-element coupling analysis module for simulating pollutant diffusion and impact analysis of construction projects, enabling compliance analysis of various environmental elements of the projects; an ecological and environmental zoning control compliance analysis module for comparing extracted basic project information, such as project location, industry type, and pollution emissions, with rules extracted from ecological and environmental zoning control requirements, enabling compliance analysis of ecological and environmental zoning control; and a control document judgment module, also based on extracted basic project information, such as project location, industry type, and pollution emissions, using information rules extracted from control documents to construct computer-recognized judgment rules, comparing the two to achieve control document compliance analysis.

[0030] The compliance analysis in the multi-factor coupling analysis module, the ecological environment zoning control compliance analysis module, and the approval control document evaluation module all use compliance scores to represent the results. The multi-factor coupling analysis module utilizes an attention mechanism to construct a dynamic weight allocation mechanism, obtaining the relative importance weights of different environmental factors. It then uses a weighted sum of the compliance scores of each factor to obtain a comprehensive compliance analysis result for multiple factors within the impact area. The ecological environment zoning control compliance analysis module and the control document evaluation module employ a word embedding model to compare and analyze project information and document requirements, using cosine similarity to obtain compliance scores.

[0031] This invention employs a multi-factor coupled analysis module, which primarily predicts the post-implementation situation of the project based on basic project information. The predicted multi-factor data, combined with detailed project information (such as spatial location, industry type, production process, pollution impact range, and pollutant emissions), is analyzed against the control requirements extracted from the rule base of the ecological environment zoning control compliance analysis module and the approval control document assessment module to obtain compliance analysis results. The ecological environment zoning control compliance analysis module and the approval control document assessment module directly analyze the original project content input into the system against the corresponding control requirements to obtain compliance analysis results. This invention combines self-predicted analysis data with original registration data for a more accurate environmental impact assessment approval system. Furthermore, the compliance scores generated by the multi-factor coupled analysis module, the ecological environment zoning control compliance analysis module, and the approval control document assessment module can be further weighted using a dynamic weight allocation mechanism to determine the relative importance of each module, and the final review result is obtained through weighted summation.

[0032] Among them, a multi-factor coupling analysis module is constructed: like Figure 2 As shown, this study utilizes basic simulation models (Aerscreen, Aermod, SLAB, AFTOX, river homogeneous mixing, etc.) based on elements such as atmosphere, surface water, and environmental risk to simulate the diffusion and impact of pollutants from the construction project. It obtains the pollutant emission amount for each pixel within the impact area. Combined with the analysis of the targets and control requirements of the environmental quality baseline zones and environmental control units corresponding to the environmental access lists in the ecological environment zoning management, it achieves a compliance analysis of each environmental element of the construction project, using compliance scores to represent the results (e.g., an atmospheric model showing an acceptable impact scores 90, while a slight impact on local water bodies scores 70; specific scope divisions have different grading standards depending on the region). A dynamic weight allocation mechanism is constructed using an attention mechanism to realize the relative importance weight of different environmental elements in this approval decision. This weighted sum is added to the compliance scores of each element to obtain a comprehensive compliance analysis result for multiple elements within the impact area. Specifically, it includes the following parts: 1) Obtain the amount of pollution of each pollutant in space for each pixel within the affected area; Specifically, based on the input pollutant emissions of the project, environmental element models (Aerscreen, Aermod, SLAB, AFTOX, river uniform mixing, and other numerical models) are used to simulate the diffusion and impact of pollutants in the project, and obtain the pollution amount of each pollutant in each pixel in space within the impact range.

[0033] 2) Obtain the control requirements within the space; Based on the project location and impact range, spatial overlay is performed with the ecological environment zoning control system to obtain the environmental control unit where the impact range is located. The control requirements of the environmental quality baseline and ecological environment access list corresponding to the unit are extracted to clarify the targets of environmental elements such as air, water, and soil.

[0034] 3) Compliance analysis of each environmental element; A comparative analysis is performed with project information to analyze the compliance of various environmental elements of the construction project, using compliance scores to represent the results. Then, detailed project information (spatial location, industry type, production process, pollution impact range, pollutant emissions, the control unit it belongs to, and the targets and requirements of the environmental quality baseline and access list) is input into a weighted model to obtain the weights of multiple elements. Finally, the compliance scores of each environmental element are multiplied by their respective weights and summed to obtain the final score. Based on the obtained weighted comprehensive score, the project approval result is determined, and key issues and areas of concern for the project are highlighted.

[0035] This invention designs a weight model based on an attention mechanism, specifically as follows: First, a dataset was constructed. Detailed information from a large number of historical environmental impact assessment (EIA) projects was collected as features, including spatial location, industry type, production process, pollution impact range, pollutant emissions, the control unit in which the project is located, and the goals and requirements of the environmental quality baseline and access list. Key training labels were independently labeled by multiple domain experts through retrospective analysis of the review focus and decision-making basis of historical projects, and the average value was used to obtain the weights.

[0036] Subsequently, an attention-based weight model was constructed based on the Transformer encoder model. Categorical features were transformed through an embedding layer, and numerical features, after standardization, were added to the learnable positional encodings before being input into the model. The model consists of N stacked encoder layers, each containing a multi-head self-attention mechanism and a feedforward network. Weight predictions were finally obtained through a global average pooling and softmax output layer. KL divergence was used as the loss function to measure the difference in distribution between the predicted weights and the expert-annotated weights. The AdamW optimizer was employed, combined with a cosine annealing learning rate scheduling strategy with warm-start. During training, a validation set was used for monitoring, and early stopping was employed to prevent overfitting. Finally, the model with the best generalization performance on the test set was retained for practical applications.

[0037] Specifically, the attention-based weight model is as follows: 1) Input and Mapping: Inputting the preprocessed project feature vectors... As a query, it is mapped to a query vector Q through a fully connected linear layer.

[0038] The input vector is the project feature vector. This is a comprehensive vector, derived from the project's basic information (industry type code, geographic location code, investment scale, etc.) through an embedding layer or a fully connected layer. The dimension is set to... d .

[0039] 2) Feature Embedding: The system maintains a trainable environmental feature embedding matrix E, where each row represents the feature vector of an environmental feature (such as atmosphere, water, or soil). This matrix serves as both the key matrix K and the value matrix V.

[0040] This invention predefines a learnable element embedding vector for each environmental element (such as atmosphere, water, soil, acoustic environment, ecology, etc.). If there are N elements, the dimension of each element vector is also... d These vectors form matrix E. During training, these vectors learn on their own and eventually represent the "essential features" of each element.

[0041] 3) Attention Calculation: Calculate the dot product similarity between the query vector Q and each key vector in the key matrix K, and divide by the scaling factor. )( (where is the dimension of the key vector), to obtain the initial attention score.

[0042] The calculation process for attention weights is as follows: Step 1: Calculate the attention scores. Project feature vectors As a query, the environmental element matrix E serves as the source of both keys and values.

[0043] Calculate query With each element key The similarity (i.e., the i-th row of E). The method used in this invention is dot product, such as... ( Representing fractions, (This represents the dot product, and T represents the transpose).

[0044] Step 2: Scaling and Normalization (Softmax) To prevent the dot product from becoming too large, it is usually divided by a scaling factor (the square root of the key vector dimension).

[0045] 4) Weight Generation: The attention scores are input into the Softmax function for normalization, resulting in a set of dynamic weights that sum to 1. ( , (The number of environmental elements). This weight vector This is the output of this module.

[0046] Specifically, the Softmax function normalizes all scores to a probability distribution, meaning the sum of all weights is 1. This yields the final dynamic weights:

[0047] Further simplified as:

[0048] in, That is, to allocate to the first The final dynamic weight of each environmental element. It is the dimension of the key vector.

[0049] All attention weights Composition of attention weight matrix:

[0050] In a specific application of this invention, the attention weight matrix is ​​taken. As a result of dynamic weight allocation, this model is trained end-to-end using a large amount of historical environmental impact assessment approval data. It can automatically capture the deep, non-linear relationship between the complex characteristics of a project and the importance of environmental elements, achieving truly intelligent weight allocation.

[0051] Among them, an ecological environment zoning control compliance analysis module is constructed: like Figure 3 As shown, in terms of compliance analysis of ecological and environmental zoning control, on the basis of the original spatial conflict analysis of ecological protection red lines, compliance analysis of the environmental quality baseline, resource utilization ceiling and ecological and environmental access list corresponding to environmental control units is added. The control requirements are extracted into rules, realizing rule informatization, providing automatic compliance judgment of "space + rules", enriching the content of compliance analysis and improving the efficiency of judgment.

[0052] Specifically, based on information such as the project location in the project's basic information, spatial overlay is performed with the ecological environment zoning control system to obtain the environmental control unit in which it is located, and the control requirements of the corresponding environmental quality baseline and ecological environment access list for the environmental control unit are extracted.

[0053] This invention analyzes the compliance of access lists corresponding to ecological protection red lines, general ecological spaces, environmental quality baselines, resource utilization ceilings, and ecological environment management units. It then extracts rules from these rules to obtain a set of logical rules that can be recognized and used by a calculator, thus achieving rule informatization. This invention provides an automatic compliance assessment based on "space + rules," enriching the content of compliance analysis, improving assessment efficiency, and unifying analysis standards.

[0054] This invention employs a word embedding model to compare and analyze project information and control requirements, utilizing cosine similarity for the comparative analysis. The rule-driven adjustments are based on preset rules or machine learning models.

[0055] Among them, an approval control document analysis module is constructed: like Figure 4 As shown, we collect and organize regulatory documents such as laws, regulations, emission standards, and control measures. For the environmental impact assessment requirements related to projects, we abstract the rules into information rules that can be recognized and used by computers. This assists in project approval, enables automated analysis, improves efficiency, and avoids the influence of subjective factors.

[0056] Specifically, by studying and analyzing regulatory documents such as laws, regulations, emission standards, and control measures, experts have identified judgment rules based on multiple dimensions, including location, industry, technology, and emissions. These rules are then abstracted, converted into information formats, and used to construct computer-recognizable judgment rules, thereby reducing the influence of human subjectivity.

[0057] according to Figure 5 The automated approval process for project environmental impact assessment (EIA) approval, based on the multi-element project EIA approval system under ecological environment zoning control, is as follows: Users can input basic information about a project, including its location, industry type, and pollutant emissions, through the project information input module.

[0058] After the information is entered, the system uses the basic project information extraction module, combined with the spatial layer (vector data) of the ecological environment zoning control data, to extract project information. This includes spatial conflict analysis between the project location and ecological protection red line, general ecological space, environmental quality baseline, resource utilization ceiling, environmental control unit, and administrative division, to determine the unit location of the project in each layer, the unit information and type, as well as the extraction of information such as the industry type, pollutant emissions, and production process of the project.

[0059] The extracted information is input into the analysis and judgment module. After filtering, it is input into the multi-factor coupling analysis module, the ecological environment zoning control compliance analysis module, and the control document analysis module, respectively. The analysis and judgment are carried out in combination with the rule base rules, and the results are generated and sent to the project approval result output module.

[0060] In the multi-factor coupling analysis module, the basic information transmitted from the project basic information extraction module mainly includes the project's location within the environmental quality baseline unit and environmental control unit, administrative division, industry type, pollutant emissions, and production process. Based on this information, the control requirements in the rule base are extracted and screened, and compared with the project information to achieve compliance analysis of each environmental element of the construction project, expressed as a compliance score. Then, the project's detailed information (spatial location, industry type, production process, pollution impact range, pollutant emissions, the control unit it is located in, and the goals and requirements of the environmental quality baseline and access list) is input into the weight model to obtain the weights of the multiple elements. Finally, the compliance scores of each environmental element are multiplied by their weights and summed to obtain the final score. Based on the obtained weighted comprehensive score, the project's approval result is obtained, and the key issues and areas of concern for the project are marked.

[0061] In the ecological environment zoning control compliance analysis module, the basic information transmitted from the project basic information extraction module mainly includes information such as the project's location within the ecological protection red line unit, general ecological space unit, environmental quality baseline unit, resource utilization ceiling unit, and environmental control unit, as well as its administrative division location, industry type, pollutant emissions, and production process. Based on this information, the control requirements in the rule base are extracted and screened. The environmental access list control requirements corresponding to the ecological protection red line, general ecological space, environmental quality baseline unit, resource utilization ceiling unit, and environmental control unit that conform to the project's space, industry type, and production process are used as the judgment rules. Combined with the project information, the judgment rules are compared to determine whether the project meets the requirements, and the judgment analysis results are given.

[0062] In the approval and control document analysis module, the basic information transmitted from the project basic information extraction module mainly includes the project's location within the ecological protection red line unit and environmental control unit, administrative division location, industry type, pollutant emissions, and production process. Based on this information, control requirements in the rule base are extracted and screened. Relevant legal documents, administrative regulations, rules and standards, planning documents, technical guidelines, and approval principles that conform to the spatial, industry type, and production process requirements are used as analysis rules. The project information is then compared with these rules to determine compliance and to provide the analysis results.

[0063] The project approval result output module receives the analysis results and generates a result report according to a fixed format for user use and archiving.

[0064] In summary, this invention uses basic information obtained from the project basic information extraction module, including the project's location within the environmental quality baseline unit and environmental control unit, administrative division location, industry type, pollutant emissions, and production process. This information is then input into the multi-factor coupling analysis module, the ecological environment zoning control compliance analysis module, and the approval control document assessment module. In these three modules, compliance analysis is performed on the project data after self-prediction, as well as on the ecological environment zoning control compliance and the approval control document compliance. By analyzing the project content from these three perspectives, a more comprehensive environmental impact assessment and approval result is obtained. The above description is only for the purpose of helping to understand the method and core essence of the present invention, but the scope of protection of the present invention is not limited thereto. For those skilled in the art, any equivalent substitutions or modifications made to the technical solution and inventive concept disclosed in the present invention within the scope of the technology disclosed in the present invention should be covered within the scope of protection of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A multi-element project environmental impact assessment approval system based on ecological environment zoning control, characterized in that: It includes a project information input module, a project basic information extraction module, a rule base, an analysis and judgment module, and a project approval result output module; The project basic information extraction module extracts basic information about projects awaiting approval. The rule base is used to collect ecological and environmental zoning control requirements and approval control documents, and extract control requirement information; The analysis and assessment module includes one or more of the following: multi-factor coupling analysis module, ecological environment zoning control compliance analysis module, and approval control document analysis module. The multi-factor coupling analysis module, based on the extracted basic project information, uses an environmental factor simulation model to simulate the predicted data of different environmental factors, obtains the conformity scores of the predicted data of different environmental factors and related project information, and analyzes the relative importance weights of different environmental factors and related project information to obtain the comprehensive conformity analysis results of multiple factors. The ecological environment zoning control compliance analysis module compares and analyzes the extracted basic project information with the rules extracted based on the corresponding control requirements information in the ecological environment zoning control requirements, thereby realizing the ecological environment zoning control compliance analysis. The approval and control document analysis module compares and analyzes the extracted basic project information with the rules extracted from the approval and control documents based on the corresponding control requirements information, thereby achieving compliance analysis of the approval and control documents.

2. The multi-element project environmental impact assessment approval system based on ecological environment zoning control as described in claim 1, characterized in that, The basic information extraction module for the project is as follows: For project information pending approval of different document types, basic project information is extracted. The basic project information includes multi-format content of text and images. A vision-language joint pre-trained model is used to extract multimodal information and obtain the text features of the basic project information.

3. The multi-element project environmental impact assessment approval system based on ecological environment zoning control as described in claim 1, characterized in that, The rule base is as follows: Information on ecological environment zoning control requirements and control documents is extracted and stored in a machine-readable logical form; the rule base is updated based on the latest changes in ecological environment zoning control requirements and control documents.

4. The multi-element project environmental impact assessment approval system based on ecological environment zoning control as described in claim 1, characterized in that, The analysis process of the multi-factor coupling analysis module is as follows: First, predictive data on project pollutants are obtained; based on the project's pollutant emissions, an environmental element simulation model is used to simulate the diffusion of project pollutants and obtain the amount of pollution from project pollutants within the affected area. Secondly, obtain the control requirements within the space; based on the project location and impact range, spatially overlay with the ecological environment zoning control system to obtain the environmental control unit where the impact range is located, and extract the control requirements of the corresponding environmental quality baseline and ecological environment access list for the environmental control unit; Finally, the environmental compliance analysis was conducted. The predicted data of project pollutants were compared and analyzed with the control requirements to obtain the compliance scores of project pollutants and related project information. A weight model based on the attention mechanism was used to obtain the relative importance weights of different environmental elements and related project information. The comprehensive compliance analysis results of multiple elements were obtained by weighted summation.

5. The multi-element project environmental impact assessment approval system based on ecological environment zoning control as described in claim 4, characterized in that, The environmental element simulation model adopts one or more of Aerscreen, Aermod, SLAB, AFTOX, and river uniform mixing numerical model to simulate the atmospheric environment, water environment, and soil environment. The obtained prediction data includes environmental quality prediction results, total pollutant prediction results, and pollution diffusion impact range prediction results.

6. The multi-element project environmental impact assessment approval system based on ecological environment zoning control according to claim 4, characterized in that, The attention-based weight model is constructed based on the Transformer encoder model. The attention-based weight model consists of N layers of encoders stacked together. Each layer contains a multi-head self-attention mechanism and a feedforward network. Finally, the weight prediction is obtained through global average pooling and a Softmax output layer.

7. The multi-element project environmental impact assessment approval system based on ecological environment zoning control as described in claim 6, characterized in that, The processing procedure of the attention-based weight model is as follows: First, input and mapping: The project feature vector is formed from the basic information of the project. The preprocessed project feature vector is then mapped to the query vector Q through a fully connected linear layer. Secondly, element embedding: Define a trainable environmental element embedding matrix E, where each row represents the feature vector of an environmental element. Use the environmental element embedding matrix E as both the key matrix K and the value matrix V. The attention calculation then proceeds as follows: the dot product similarity between the query vector Q and each key vector in the key matrix K is calculated and divided by the scaling factor to obtain the initial attention score. Finally, weight generation: The initial attention scores are input into the Softmax function for normalization, resulting in a set of dynamic weights that sum to 1.

8. The multi-element project environmental impact assessment approval system based on ecological environment zoning control according to claim 1, characterized in that, The ecological environment zoning control compliance analysis module and the approval control document analysis module both use machine learning models to extract rules, forming computer-recognizable information rules.

9. The multi-element project environmental impact assessment approval system based on ecological environment zoning control according to claim 1, characterized in that, The ecological environment zoning control compliance analysis module and the approval control document judgment module both adopt word embedding model. The word embedding model is used to compare and analyze the basic information of the project with the rules extracted in the corresponding modules, and then the cosine theorem similarity calculation is performed.

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