File information matching system and method based on emission right

Abstract

The invention provides a file information matching system based on an emission right, and the system is characterized in that the system comprises a receiving module which is used for receiving an emission right application file submitted by an enterprise; based on the to-be-declared pollutant information in the application file, taking the emission position as a target detection area, obtaining emission information of the target detection area, and based on the collaborative hazard knowledge graph, performing correlation analysis on the to-be-declared pollutant information and the emission information to obtain a correlation result of the to-be-declared pollutant information; identifying whether a collaborative hazard risk that the environmental hazard may be amplified due to coexistence of different pollutants exists or not, and generating a risk level; background data of the target detection area are acquired, the background data comprise area environment capacity data and pollutant consumption rate, to-be-declared pollutant information is acquired, and an environment cost influence value is generated; and obtaining the environmental cost influence values of the plurality of application files in the target detection area, carrying out priority ranking, and carrying out matched distribution of the pollution discharge right according to a ranking result and the risk level.

Description

Technical Field

[0001] This invention relates to a pollution discharge rights management system, and more particularly to a document information matching system and method based on pollution discharge rights. Background Technology

[0002] With increasing efforts in environmental protection, emissions trading, as a market-based environmental management tool, has been widely applied to pollutant emission control. Its core objective is to achieve efficient utilization of regional environmental capacity and precise control of total pollutant emissions through the rational allocation of emissions trading quotas. Currently, emissions trading quota allocation and document information matching mainly rely on manual review or simple quantitative indicator assessments, which are difficult to adapt to complex regional environmental characteristics and scenarios involving the synergistic effects of multiple pollutants, resulting in numerous technical bottlenecks and management shortcomings.

[0003] Existing pollution discharge rights matching systems mostly focus on independent indicators such as the concentration and emission volume of single pollutants, lacking consideration of the synergistic harmful effects when different pollutants coexist. Different types of pollutants may undergo chemical reactions, ecological accumulation, or toxicological superposition under specific environmental conditions, forming environmental hazards far exceeding the effects of a single pollutant alone. Traditional systems have not established targeted synergistic risk identification mechanisms, which can easily lead to hidden environmental risks after the allocation of pollution discharge rights, violating the core requirements of regional ecological protection.

[0004] In terms of environmental cost assessment, existing technologies often calculate the impact solely based on the pollutant's own emissions, neglecting the differences in the target area's environmental context, such as key parameters like regional environmental capacity and pollutant absorption rates. This leads to environmental cost assessment results that deviate from reality and fail to provide a scientific basis for prioritizing emission rights. Furthermore, some systems do not take into account the differences in pollutant emission status between polluting and non-polluting enterprises, making it difficult to comprehensively investigate potential sources of synergistic risks among pollutants within the region, further reducing the rationality of emission rights allocation. Summary of the Invention

[0005] In view of the shortcomings of the existing technology, the purpose of this invention is to provide a document information matching system and method based on pollution discharge rights, so as to overcome the above-mentioned defects in the existing technology.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A document information matching system based on pollution discharge rights, comprising: The document parsing module is used to receive the pollution discharge right application documents submitted by enterprises and extract the basic information of enterprises and the information of pollutants to be declared. The information of pollutants to be declared includes the pollutant type, concentration, and emission location. The pollutant information verification module, based on the pollutant information to be declared in the application documents and taking the emission location as the target detection area, obtains the emission information of the target detection area, and performs correlation analysis between the pollutant information to be declared and the emission information based on the preset synergistic hazard knowledge graph to identify whether there is a synergistic hazard risk that may amplify environmental hazards due to the coexistence of different pollutants, and generates a risk level. The environmental cost correction module acquires background data of the target detection area, including regional environmental capacity data and pollutant dissipation rate. Based on the background data and the information of pollutants to be declared, it generates an environmental cost impact value through comprehensive evaluation. The pollution discharge rights decision module obtains the environmental cost impact values ​​of multiple application documents within the target detection area, prioritizes them, and matches and allocates pollution discharge rights based on the ranking results and risk levels to determine whether to allocate pollution discharge rights to the corresponding enterprises and the amount of pollution discharge rights allocated.

[0008] Preferably, the target area also includes enterprise information, which includes basic enterprise information and pollutant information, and the enterprises are divided into those that have emitted pollutants and those that have not emitted pollutants according to their pollutant emission status. Correlation analysis also includes: The risk assessment submodule for enterprises that have already emitted pollutants obtains the types of pollutants to be declared and the types of pollutants emitted by enterprises that have already emitted pollutants, and uses a synergistic hazard knowledge graph to determine whether there is a pre-set synergistic hazard risk between the two. The risk assessment submodule for non-emission enterprises obtains the types of pollutants to be declared and the types of pollutants to be emitted by non-emission enterprises, and uses a synergistic hazard knowledge graph to determine whether there is a pre-set synergistic hazard risk between the two. The risk analysis submodule for non-emission enterprises obtains the emission volume of the pollutant to be declared, the emission volume of the pollutant to be emitted, and the enterprise information corresponding to the emission volume of the pollutant to be emitted when there is a synergistic hazard between the pollutant type to be declared and the pollutant type to be emitted by the non-emission enterprise.

[0009] Preferably, the environmental cost correction module includes: The conflict detection submodule is used to obtain the risk of synergistic hazards, synergistic degradation parameters, and synergistic impact coefficients. Based on the basic environmental cost, regional environmental capacity data, synergistic impact coefficients, and digestion time, it obtains the potential environmental cost. The disposal timing verification submodule is equipped with a disposal database. It retrieves the corresponding disposal time from the disposal database based on the information of the pollutants to be declared, and determines whether the preset disposal requirements are met based on the disposal time. The comprehensive evaluation submodule performs a comprehensive environmental risk assessment based on the premise that the potential environmental costs are simultaneously absorbed within the specified timeframe, and generates an environmental cost impact value. If the absorption time does not meet the preset absorption requirements, no environmental cost is allocated.

[0010] Preferably, the pollution discharge rights decision-making module includes prioritizing the applicant companies based on their environmental cost impact value and checking their risk levels in turn. If the risk level is unacceptable, the company is marked as not allocated. For companies with an acceptable risk level, the module retrieves the pollutant list of non-applicant companies in the target area and uses a synergistic hazard knowledge graph to determine whether there is a preset synergistic hazard risk between the pollutant type to be applied for and the non-discharged pollutant type. For non-applicant companies with conflicts, the module obtains the pollutant information of the non-applicant companies and analyzes the estimated emissions of the conflicting companies. If the estimated emissions are greater than a preset threshold, the module determines that the company applying for the application conflicts with a key enterprise in the target area and therefore does not allocate the rights.

[0011] Preferably, the pollutant information also includes the company's initial quotation, and the background data also includes the scarcity of regional pollution discharge rights, which is dynamically calculated based on the ratio of the real-time remaining pollution discharge rights in the target area to the historical declaration volume. It also includes a pricing evaluation module, which is used to obtain the company's initial price, environmental cost impact value, and regional pollution discharge rights scarcity. Based on the management objectives of the target area and the types of pollutants to be declared, the module dynamically adjusts the weight ratio and obtains the corrected pollution discharge price based on the weight calculation formula.

[0012] Preferably, the synergistic reaction database also includes the conditions for chemical reactions of various pollutant combinations, matches the synergistic degradation pathways of the pollutants to be declared, and calculates the reaction conditions and reaction feasibility. Based on the emission amount of the pollutants to be declared, the volume of environmental water sources, and the reaction condition parameters, the degradation rate and the amount of harmful substance reduction are calculated and obtained. At the same time, the stability of the reaction conditions and whether there is secondary pollution are verified. If the reaction conditions are stable and there is no secondary pollution, the degradation rate and the amount of harmful substance reduction are output as synergistic degradation parameters.

[0013] Preferably, the synergistic hazard knowledge graph is a synergistic reaction database pre-established based on a chemical reaction database. The reaction database records the relationships between combinations of multiple pollutants, whose overall environmental hazard is higher than the sum of the individual effects of each pollutant.

[0014] Preferably, the emission information of the target detection area includes environmental information, which includes characteristic pollutant types. The correlation analysis includes obtaining the pollutant type to be reported and the characteristic pollutant type, and determining whether there is a preset synergistic hazard risk between the two through a synergistic hazard knowledge graph.

[0015] Preferably, a feedback guidance module is also included. When an enterprise is not allocated pollution discharge rights, the module retrieves the enterprise's pollution discharge rights application documents, risk level, and environmental cost impact value, and generates a graded improvement plan. The graded improvement plan includes a short-term treatment strategy, a medium-term adaptation strategy, and a long-term transformation strategy. The short-term treatment strategy quickly reduces the risk of pollutant emissions, the medium-term adaptation strategy adjusts the pollutant emission structure and declaration plan, and the long-term transformation strategy guides the enterprise to transform towards a green and low-carbon production model.

[0016] A method for matching document information based on pollution discharge rights includes: The document parsing step is used to receive the pollution discharge right application documents submitted by enterprises and extract basic enterprise information and information on pollutants to be declared. The information on pollutants to be declared includes pollutant type, concentration, and emission location. The pollutant information verification step involves, based on the pollutant information to be declared in the application documents, taking the emission location as the target detection area, obtaining the emission information of the target detection area, performing a correlation analysis between the pollutant information to be declared and the emission information, identifying whether there is a synergistic risk of environmental harm that may be amplified due to the coexistence of different pollutants, and generating a risk level. The environmental cost correction step involves obtaining background data for the target detection area, including regional environmental capacity data and pollutant dissipation rate, obtaining information on pollutants to be declared, and generating environmental cost impact values. The decision-making process for pollution discharge rights involves obtaining the environmental cost impact values ​​of multiple application documents within the target monitoring area, prioritizing them, and then matching and allocating pollution discharge rights based on the ranking results and risk levels to determine whether to allocate pollution discharge rights to the corresponding enterprises and the amount of pollution discharge rights allocated.

[0017] The beneficial effects of this invention are as follows: By constructing a synergistic hazard knowledge graph based on a chemical reaction database, this invention establishes a database of synergistic hazards from multiple pollutant combinations. It can specifically analyze the synergistic relationships between pollutants to be declared and characteristic pollutants within the target detection area, pollutants from already discharging enterprises, and pollutants to be discharged from non-discharging enterprises. This accurately identifies the risk of amplified environmental hazards due to pollutant coexistence and generates risk levels. Simultaneously, it can match synergistic degradation pathways, calculate degradation rates and hazardous substance reduction amounts, verify the stability of reaction conditions and the risk of secondary pollution, filling the gap in existing technologies' insufficient consideration of synergistic pollutant hazards. This reduces the implicit environmental risks after the allocation of pollution discharge rights from the source and improves the ecological security of pollution discharge rights management. The environmental cost correction module of this invention combines background data of the target detection area, synergistic hazard risks, and synergistic degradation parameters. Through conflict detection, absorption sequence verification, and comprehensive evaluation, it generates accurate environmental cost impact values. Compared to traditional assessment methods based solely on emissions, this invention fully considers regional environmental differences and the synergistic effects of pollutants, enabling a more accurate reflection of the potential impact of pollutants to be declared on the regional environment. Simultaneously, through verification of the timing of disposal, it ensures that pollutant emissions meet the regional disposal capacity, avoiding environmental degradation caused by untimely disposal, and providing a scientific and accurate quantitative basis for prioritizing and allocating pollution discharge rights. Attached Figure Description

[0018] Figure 1 This is an overall flowchart of the present invention; Figure 2 This is a flowchart of the pollutant information verification module of the present invention; Figure 3 This is a flowchart of the environmental cost correction module of the present invention. Detailed Implementation

[0019] 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.

[0020] It should be noted that when a component is described as "fixed to" another component, it can be directly on the other component or may have a component in between. When a component is considered "connected to" another component, it can be directly connected to the other component or may have a component in between. When a component is considered "set on" another component, it can be directly set on the other component or may have a component in between. The terms "vertical," "horizontal," "left," "right," and similar expressions used in this document are for illustrative purposes only.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0022] The embodiments of the present invention will be further described in detail below with reference to the accompanying drawings: like Figures 1-3 As shown, the present invention provides a document information matching system based on pollution discharge rights, comprising: The document parsing module receives pollution discharge rights application documents submitted by enterprises and extracts basic enterprise information and information on pollutants to be declared. The pollutant information includes pollutant type, concentration, emission location, and the enterprise's initial price quote. The module receives pollution discharge rights application documents in various formats through a standardized interface and employs intelligent text recognition and data extraction technology to accurately separate basic enterprise information from the data to be declared. The basic enterprise information includes core information such as the enterprise's identity and scope of production and operation. The pollutant information to be declared details the specific types, actual concentration levels, and planned geographical areas of various pollutants. Simultaneously, it collects the initial price demands made by the enterprise in response to the pollution discharge rights application, ensuring that the extracted information is comprehensive and meets the basic data requirements for pollution discharge rights matching decisions.

[0023] The pollutant information verification module, based on the pollutant information to be declared in the application documents and using the emission location as the target detection area, acquires the emission information of the target detection area. It then performs a correlation analysis between the pollutant information to be declared and the emission information based on a synergistic hazard knowledge graph to identify whether there are synergistic hazard risks that may amplify environmental hazards due to the coexistence of different pollutants, and generates a risk level. The module also defines the specific geographical area where the enterprise plans to emit pollutants as the target detection area, based on the detailed information of the pollutants to be declared in the application documents. Through environmental monitoring data interfaces and the enterprise information filing system, it comprehensively collects various types of emission-related information within this area. Relying on the core technology of the synergistic hazard knowledge graph, it performs multi-dimensional correlation analysis on the collected pollutant information to be declared and the existing emission information in the area. The investigation focuses on whether the coexistence of different pollutants can produce synergistic effects that exacerbate environmental damage through interaction. For example, ammonia nitrogen discharged from fertilizer plants and wastewater treatment plants, along with phosphates from chemical and food processing wastewater, can react synergistically with algae in water bodies: ammonia nitrogen provides nitrogen for algae, and phosphates provide phosphorus, triggering explosive algal growth. The decomposition of dead algae consumes large amounts of dissolved oxygen, leading to oxygen deficiency, blackening, and foul odors in the water. Simultaneously, algae release algal toxins, polluting drinking water sources. Heavy metal ions such as lead, cadmium, and mercury discharged from enterprises, commonly found in electroplating and metallurgical wastewater, and organic pollutants in water bodies such as phenols and humic acids, may originate from chemical and paper manufacturing wastewater and undergo complexation reactions to form stable heavy metal-organic complexes. These complexes enhance the mobility and bioavailability of heavy metals, expanding the scope of pollution; furthermore, these complexes are more difficult to decompose using treatment technologies, leading to long-term accumulation of heavy metals in the environment and their bioaccumulation through the food chain, harming human health. Based on key factors such as the severity of the hazard and the probability of occurrence, different levels of risk are classified to provide a basis for risk prediction in the subsequent allocation of pollution discharge rights.

[0024] Formula for calculating the risk level of synergistic hazards: ; Where R represents the synergistic hazard risk level, n represents the data on the types of pollutants to be reported, and m represents the number of existing pollutant types in the target area. The synergistic effect coefficient between pollutant i to be declared and existing pollutant j is given. The concentration of pollutant i to be declared, Given the concentration of existing pollutant j, The maximum allowable pollutant concentration in the area. As a threshold for collaborative risk standards, For the duration of risk monitoring, It is a time-dependent function. , All are weighting coefficients, and The range of R is ,in At an acceptable risk level, To be aware of the risk level, This is classified as an unacceptable risk level.

[0025] Background data also includes the scarcity of regional emission rights, which is dynamically calculated based on the ratio of the real-time remaining emission rights in the target area to the historical application volume. Regional emission rights scarcity is a crucial indicator reflecting the tightness of emission rights resources in the target area. Its calculation is based on the current unallocated emission rights in the target area, combined with the total amount of emission rights applications submitted by enterprises in the area over a past period, and dynamically measured through the proportional relationship between the two. As emission rights in the area are consumed and replenished, and as enterprise application demands change, this ratio is adjusted in real time, thus accurately reflecting the scarcity of emission rights resources in the area at different times, providing objective data support for emission rights allocation decisions and bidding evaluations.

[0026] Formula for calculating the scarcity of pollution discharge rights:

[0027] Where S represents the scarcity of regional pollution discharge rights. The remaining emission rights are represented by k, where k is the number of historical statistical periods. This represents the historical application volume for the i-th period. To be a very small number, to prevent division by zero. For the statistical time window, The time decay factor, S, has a range of values. ,in, To ensure sufficient pollution discharge rights resources, Due to the scarcity of pollution discharge rights, Because pollution discharge rights are scarce.

[0028] The synergistic hazard knowledge graph is a pre-built synergistic reaction database based on a chemical reaction database. This database records the relationships between combinations of multiple pollutants, where the overall environmental hazard exceeds the sum of the individual effects of each pollutant. The construction of the synergistic hazard knowledge graph relies on three core models: a pollutant chemical reaction model reflecting the interaction patterns between pollutants; an ecovirological effect model demonstrating the impact of pollutants on ecosystems and organisms; and an epidemiological association model revealing the link between pollutants and human health. Based on the analysis results of these models, a synergistic reaction database covering multiple pollutant combinations is pre-built. This database specifically records pollutant combinations whose overall environmental hazard exceeds the sum of the hazards produced by each pollutant acting alone, along with their corresponding relationships, providing comprehensive and accurate data for rapidly identifying synergistic hazard risks.

[0029] The synergistic reaction database also includes the conditions for chemical reactions of various pollutant combinations, matches synergistic degradation pathways for pollutants to be declared, and calculates the feasibility of reaction conditions. Based on the emission volume of the pollutants to be declared, the volume of environmental water sources, and reaction condition parameters, it calculates the degradation rate and the reduction of hazardous substances, while verifying the stability of reaction conditions and the existence of secondary pollution. If the reaction conditions are stable and there is no secondary pollution, the degradation rate and the reduction of hazardous substances are output as synergistic degradation parameters. In addition to recording the hazard relationships of pollutant combinations, the synergistic reaction database also records in detail the key conditions required for various pollutant combinations to undergo chemical reactions. For example, acidic wastewater discharged by enterprises, such as that containing sulfuric acid or hydrochloric acid, reacts with alkaline treatment reagents such as sodium hydroxide and lime to produce salt and water; alkaline wastewater, such as that containing ammonia or sodium hydroxide, reacts with acidic reagents such as hydrochloric acid and sulfuric acid to similarly produce salt and water. After neutralization, the pH of the wastewater is restored to neutral, avoiding corrosion and ecological damage to water bodies and soil caused by acidic or alkaline wastewater. Most of the salts generated are water-soluble and can be removed through subsequent precipitation and filtration. Chromium-containing wastewater, such as hexavalent chromium, reacts with reducing agents like sodium sulfite and ferrous sulfate to reduce hexavalent chromium to trivalent chromium, which is low in toxicity and easily precipitates. The chromium hydroxide precipitate is then removed by adjusting the pH. Cyanide-containing wastewater reacts with oxidizing agents like sodium hypochlorite to oxidize cyanide into carbon dioxide and nitrogen. Sulfur-containing waste gas reacts with oxidizing agents or alkaline absorbents to generate ammonium sulfate or calcium sulfite, preventing direct sulfur dioxide emissions and acid rain. Domestic sewage or organic industrial wastewater undergoes microbial metabolic reactions, decomposing organic pollutants into carbon dioxide, water, and microbial cells. With the degradation of organic pollutants by microorganisms, the pollution load of the wastewater is significantly reduced, and the treated effluent meets discharge standards or can be reused. The sludge, after harmless treatment, can be landfilled or utilized as a resource.

[0030] In practical applications, the system accurately matches corresponding synergistic degradation pathways based on the type and characteristics of the pollutants to be declared. It comprehensively analyzes the feasibility of the reaction conditions for this degradation pathway, considering factors such as temperature, pressure, and catalyst requirements. Combining the actual emission quantity of the pollutants to be declared, the total volume of the target area's environmental water sources, and relevant reaction parameters, the system uses logical deduction and data calculation to determine the pollutant degradation rate and the specific amount of hazardous substance reduction. Simultaneously, the stability of the reaction conditions is monitored to identify any risk of secondary pollution from the generation of new pollutants. Only when the reaction conditions are stable and there is no secondary pollution will the degradation rate and hazardous substance reduction be output as synergistic degradation parameters.

[0031] Formula for calculating synergistic degradation parameters: ; ; in, For synergistic degradation rate, For the reduction of harmful substances, The lowest reaction temperature, The highest reaction temperature, The reaction rate is temperature-dependent. , This represents the actual catalyst concentration. For the maximum feasible catalyst concentration, The initial mass of the hazardous substance. For the volume of environmental water sources, For pollutant emission volume, The threshold is 0 indicates no degradation effect, and 1 indicates complete degradation. The range of values ​​is The larger the vertical line, the better the reduction effect.

[0032] The emission information for the target area includes environmental information, which includes characteristic pollutant types. The correlation analysis involves obtaining the types of pollutants to be declared and the characteristic pollutant types, and using a synergistic hazard knowledge graph to determine whether a pre-defined synergistic hazard risk exists between them. The emission information for the target area includes environmental information reflecting the background environmental conditions of the region, with characteristic pollutant types being the core content, referring to pollutants that are prevalent or present in high concentrations within the region and have a significant environmental impact. During the correlation analysis, the specific types of pollutants to be declared and the characteristic pollutant types of the target area are first identified. Then, the information on both types of pollutants is input into the synergistic hazard knowledge graph. Using pre-stored synergistic hazard data of pollutant combinations in the graph, it is determined whether the coexistence of the pollutants to be declared and the regional characteristic pollutants meets the pre-defined synergistic hazard risk assessment criteria, thereby identifying the environmental risks that may arise from their coexistence.

[0033] The target area also includes enterprise information, encompassing basic enterprise information and pollutant information. Enterprises are categorized into those that have already emitted pollutants and those that have not, based on their pollutant emission status. The enterprise information in the target area covers two core components: basic enterprise information and pollutant emission-related information. Based on the crucial question of whether an enterprise has begun emitting pollutants, enterprises within the area are divided into those that have already emitted pollutants and those that have not, facilitating targeted risk assessments. This classification method accurately distinguishes the characteristics of pollutant impacts from enterprises in different emission statuses, laying the foundation for subsequent investigations into the synergistic hazards of pollutants to be reported and those from various enterprises. This ensures that the risk assessment covers all relevant enterprises within the area, improving the comprehensiveness and accuracy of the assessment.

[0034] Correlation analysis also includes: The risk assessment submodule for enterprises that have already emitted pollutants acquires the types of pollutants to be declared and the types of pollutants already emitted by enterprises. It then uses a synergistic hazard knowledge graph to determine whether there are any pre-defined synergistic hazard risks between the two. This submodule focuses on the synergistic hazard risks between the pollutants to be declared and the actual pollutants emitted by enterprises. It obtains the specific types of pollutants to be declared through a data interface and simultaneously retrieves past and current pollutant emission type records from enterprises that have already emitted pollutants, inputting both types of data synchronously into the synergistic hazard knowledge graph. Using the synergistic hazard association data of pollutant combinations stored in the graph, the system automatically compares and analyzes the data to determine whether there are any pre-defined synergistic hazard risks when the pollutants to be declared are combined with the pollutants already emitted by enterprises. This provides a basis for assessing the cumulative impact of the pollutant emissions to be declared on existing environmental risks in the region.

[0035] The non-discharging enterprise risk assessment submodule obtains the types of pollutants to be declared and the types of pollutants to be discharged by non-discharging enterprises. It then uses a synergistic hazard knowledge graph to determine whether there are any pre-defined synergistic hazard risks between the two. This submodule specifically investigates the synergistic hazard risks between the pollutants to be declared and the pollutants planned to be discharged by non-discharging enterprises. This submodule first identifies the types of pollutants to be declared, then extracts the types of pollutants to be discharged by non-discharging enterprises from the enterprise's pollution discharge rights application and filing information. Both sets of data are then input into the synergistic hazard knowledge graph. Using the graph's data analysis and matching functions, it determines whether the coexistence of the two types of pollutants meets the pre-defined synergistic hazard risk conditions, proactively identifying the potential synergistic hazards between the pollutants to be declared and pollutants to be discharged in the region, thus supporting forward-looking decisions on pollution discharge rights allocation.

[0036] The non-emission enterprise risk analysis submodule, when there is a synergistic hazard between the pollutant to be declared and the pollutant to be emitted by the non-emission enterprise, obtains the emission volume of the pollutant to be declared, the emission volume of the pollutant to be emitted, and the corresponding enterprise information for the emission volume of the pollutant to be emitted. When the non-emission enterprise risk assessment submodule determines that there is a synergistic hazard between the pollutant to be declared and the pollutant to be emitted by the non-emission enterprise, the non-emission enterprise risk analysis submodule immediately initiates in-depth analysis. This submodule obtains the planned emission quantity of the pollutant to be declared and the planned emission quantity of the pollutant to be emitted by the non-emission enterprise through data collection and statistics, and collects detailed enterprise information corresponding to the emission volume of the pollutant to be emitted, including the enterprise's production scale and emission time plan. The acquisition of this information provides comprehensive data support for further assessing the severity of the synergistic hazard and formulating targeted risk control measures.

[0037] The Environmental Cost Correction module acquires background data for the target monitoring area, including regional environmental capacity data and pollutant absorption rates. It also obtains information on the pollutants to be declared and generates environmental cost impact values. The core function of this module is to accurately calculate the potential environmental impact of the pollutant emissions to be declared on the region. This module connects to the regional environmental monitoring system and resource management database to obtain background data for the target monitoring area. Regional environmental capacity data refers to the maximum amount of pollutants a specific area can accommodate while maintaining ecological balance, and the pollutant absorption rate is the efficiency of natural or artificial pollutant treatment in that area. Simultaneously, it comprehensively collects various key information on the pollutants to be declared, combines background data and pollutant characteristics, and through multi-dimensional analysis and comprehensive calculation, generates environmental cost impact values ​​that accurately reflect the degree of environmental impact of pollutant emissions, providing quantitative support for pollution discharge rights allocation decisions.

[0038] Formula for calculating environmental cost impact: ; Where E represents the environmental cost impact value, B represents the basic environmental cost, and Q represents the pollutant emissions to be reported. For regional environmental capacity, For synergistic degradation rate, To make up for the time, For time-dependent absorption rate, , For the maximum absorption rate, the threshold value of E is: ,in, To minimize environmental costs, For the environmental cost, This comes at a high environmental cost.

[0039] The environmental cost correction module includes: The conflict detection submodule is used to acquire synergistic hazard risks, synergistic degradation parameters, and synergistic impact coefficients. Based on the basic environmental cost, regional environmental capacity data, synergistic impact coefficients, and absorption time, it obtains the potential environmental cost. As a key component of the environmental cost correction module, the conflict detection submodule first synchronously acquires the synergistic hazard risk results and synergistic degradation parameters obtained from the pollutant information verification module. The synergistic impact coefficient is a key indicator that comprehensively considers the intensity of pollutant synergistic effects and degradation efficiency; its value is determined by analyzing the matching relationship between the synergistic hazard risk level and the synergistic degradation parameters. When calculating the potential environmental cost, the basic environmental cost generated by the pollutant's own emissions is used as a benchmark, incorporating the regional carrying capacity reflected by regional environmental capacity data, the synergistic effect reflected by the synergistic impact coefficient, and the pollutant absorption time within the region. Through logical deduction and comprehensive calculation, the final potential environmental cost is obtained, comprehensively considering the cumulative effect of various factors on the environmental impact. The basic environmental cost characterizes the benchmark impact degree of a unit mass of benchmark pollutant on the environmental system of a specific region under standard conditions. It is obtained through regional environmental statistics and governance cost analysis. The components of the environmental cost include the benchmark impact value of pollutants on the ecological environment, the environmental remediation cost per unit of pollutant emission, regional environmental sensitivity, and the cumulative impact assessment of historical environmental damage.

[0040] The disposal timing verification submodule has a disposal database. Based on the information of the pollutants to be declared, it indexes the corresponding disposal time in the database and determines whether the preset disposal requirements are met. The disposal database stored by this submodule contains disposal time data for different types, concentrations, and emission volumes of pollutants under various environmental conditions. This submodule performs precise indexing in the disposal database based on the specific information of the pollutants to be declared, extracting the corresponding disposal time data. The extracted disposal time is then compared with the preset disposal requirements, which are based on regional environmental quality standards and ecological protection goals. If the indexed disposal time is within the preset requirement range, the disposal timing conditions are deemed met; otherwise, they are deemed not met. This provides a timing-level basis for the subsequent generation of environmental cost impact values.

[0041] The comprehensive assessment submodule conducts a comprehensive environmental risk assessment based on the premise that both the potential environmental costs and the absorption timeline are met, generating an environmental cost impact value. If the absorption timeline does not meet the preset absorption requirements, no emission rights will be allocated. Under the dual premise that the potential environmental costs are determined and the absorption timeline meets the preset requirements, the comprehensive assessment submodule initiates a comprehensive environmental risk assessment. During the assessment process, multiple factors, including regional ecological sensitivity and environmental function positioning, are considered to conduct in-depth analysis and correction of the potential environmental costs, ultimately generating a scientifically accurate environmental cost impact value. If the absorption timeline verification submodule determines that the absorption timeline does not meet the preset requirements, it indicates that the pollutant cannot be effectively absorbed within the specified time after discharge, potentially leading to environmental quality deterioration. In this case, the comprehensive assessment submodule directly makes the decision not to allocate emission rights, mitigating environmental risks at the source.

[0042] The pollution discharge rights decision-making module acquires the environmental cost impact values ​​of multiple application documents within the target monitoring area, prioritizes them, and matches and allocates pollution discharge rights based on the ranking results and risk levels. This determines whether to allocate pollution discharge rights to the corresponding enterprises and the amount of pollution discharge rights allocated. As the core decision-making unit for pollution discharge rights allocation, the module first collects the environmental cost impact values ​​corresponding to the pollution discharge rights application documents submitted by all enterprises within the target monitoring area. Using a multi-dimensional ranking algorithm, all applicant enterprises are prioritized based on the magnitude of their environmental cost impact values, with enterprises having higher priority for lower environmental cost impact values. Based on this ranking, and considering the risk level of each enterprise, the module comprehensively weighs environmental risk against the regional environmental carrying capacity to carry out the matching and allocation of pollution discharge rights. During the allocation process, it is not only necessary to determine whether to grant pollution discharge rights to enterprises, but also to scientifically verify the specific amount of pollution discharge rights that each enterprise can obtain based on the remaining pollution discharge rights in the region, the enterprise's application needs, and the environmental risk assessment results. This ensures that the allocation of pollution discharge rights not only meets the regional environmental management requirements but also takes into account the reasonable pollution discharge needs of enterprises.

[0043] The emission rights decision-making module prioritizes applicant companies based on their environmental cost impact and checks their risk levels sequentially. Companies with unacceptable risk levels are marked as not allocated emission rights. For companies with acceptable risk levels, the module retrieves pollutant lists from unreported companies within the target area and uses a synergistic hazard knowledge graph to determine if there are pre-defined synergistic hazard risks between the pollutant type to be reported and the undischarged pollutant type. For unreported companies with conflicts, the module obtains their pollutant information and analyzes their estimated emissions. If the estimated emissions exceed a preset threshold, the company is deemed to be in conflict with key enterprises in the target area and will not be allocated emission rights. The ranking process in the emission rights decision-making module uses environmental cost impact as the core ranking criterion, constructing a quantitative ranking system to prioritize all applicant companies. After ranking, the risk level of each company is checked sequentially according to priority. If a company's risk level reaches the unacceptable standard, it indicates that its emission may cause serious environmental hazards, and it is directly marked as not allocated emission rights. For companies with acceptable risk levels, the risk assessment is further expanded by retrieving pollutant lists from unreported companies within the target area that have not yet submitted emission rights applications. Leveraging the data analysis capabilities of the synergistic hazard knowledge graph, the types of pollutants to be declared are compared with the types of non-discharged pollutants from non-declaring enterprises to determine whether there are pre-defined synergistic hazard risks. When such risk conflicts are detected, in-depth data on pollutants from the non-declaring enterprises involved in the conflict are collected, with a focus on analyzing their estimated emission quantities. This estimated emission quantity is compared with a preset threshold. If the estimated emission quantity exceeds the preset threshold, it indicates a serious pollution discharge conflict between the enterprise to be declared and key enterprises in the target area, which may have a significant impact on the regional environment. Therefore, it is determined that no pollution discharge rights will be allocated to the enterprise.

[0044] It also includes a pricing assessment module, which obtains the company's initial price, environmental cost impact value, and regional pollution discharge rights scarcity. Based on the management objectives of the target area and the types of pollutants to be declared, it dynamically adjusts the weighting percentages and obtains the revised pollution discharge price based on the weighting calculation formula. The pricing assessment module is a key module for achieving reasonable market-based pricing of pollution discharge rights, its core being the comprehensive adjustment of prices based on multiple dimensions. This module, through a data interaction interface, simultaneously collects the initial price submitted by companies for pollution discharge rights declarations, the environmental cost impact value generated by the environmental cost adjustment module, and regional pollution discharge rights scarcity data dynamically calculated based on the ratio of real-time remaining pollution discharge rights to historical declarations in the target area. The management objectives of the target area cover ecological protection priorities, industrial development orientation, etc. Different types of pollutants to be declared have varying degrees of environmental impact, and the module dynamically adjusts the weighting percentages of the three core data points in the pricing calculation based on these factors. Through logical weighting and comprehensive calculation, replacing traditional formula calculations, the final revised pollution discharge price is obtained, reflecting both market supply and demand and taking into account environmental costs and regional management needs, ensuring the scientific and reasonable nature of the pricing.

[0045] Formula for calculating pollution discharge rights pricing: ; Where P represents the revised sewage discharge quotation. Here, E represents the initial quote from the company, S represents the scarcity of regional emission rights, and m represents the hazard level of the pollutant. The weight of the hazard level i is... Let P be the hazard coefficient for level i. The range of P is... .

[0046] The system also includes a feedback guidance module. When a company is not allocated pollution discharge rights, the module retrieves the company's pollution discharge rights application documents, risk level, and environmental cost impact value, generating a tiered improvement plan. This plan includes short-term treatment strategies, medium-term adaptation strategies, and long-term transformation strategies. The feedback guidance module aims to provide companies that have not obtained pollution discharge rights with precise and actionable improvement directions. When a company is not allocated pollution discharge rights, the module automatically retrieves key information from the company's submitted pollution discharge rights application documents, the risk level assessed by the pollutant information verification module, and the environmental cost impact value calculated by the environmental cost correction module, comprehensively identifying the core reasons why the company has not been granted authorization. Based on this information, the module generates tiered improvement plans. Short-term treatment strategies focus on rapidly reducing pollutant emission risks, such as optimizing pollutant treatment processes in existing production processes and improving the operating efficiency of environmental protection equipment. Medium-term adaptation strategies emphasize adjusting the pollutant emission structure and application plan to make the company's emissions more in line with regional environmental capacity and management requirements. Long-term transformation strategies guide companies to transition to green and low-carbon production models, including introducing clean production technologies and adjusting industrial layout, helping companies gradually meet the pollution discharge rights application conditions and achieve synergistic development of environmental and economic benefits.

[0047] A method for matching document information based on pollution discharge rights includes: The document parsing step is used to receive the pollution discharge rights application documents submitted by enterprises and extract basic enterprise information and information on pollutants to be declared. The information on pollutants to be declared includes the type, concentration, and emission location of the pollutants. The pollutant information verification step is based on the pollutant information to be declared in the application documents, and takes the emission location as the target detection area. The emission information of the target detection area is obtained, and the correlation analysis between the pollutant information to be declared and the emission information is performed to identify whether there is a synergistic risk that may amplify environmental hazards due to the coexistence of different pollutants, and a risk level is generated. The environmental cost correction step involves obtaining background data for the target monitoring area, including regional environmental capacity data and pollutant dissipation rate, obtaining information on pollutants to be declared, and generating environmental cost impact values. The decision-making process for pollution discharge rights involves obtaining the environmental cost impact values ​​of multiple application documents within the target monitoring area, prioritizing them, and then matching and allocating pollution discharge rights based on the ranking results and risk levels to determine whether to allocate pollution discharge rights to the corresponding enterprises and the amount of pollution discharge rights allocated.

[0048] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principle of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A document information matching system based on pollution discharge rights, characterized in that, include: The document parsing module is used to receive the pollution discharge right application documents submitted by enterprises and extract the basic information of enterprises and the information of pollutants to be declared. The information of pollutants to be declared includes the pollutant type, concentration, and emission location. The pollutant information verification module, based on the pollutant information to be declared in the application documents and taking the emission location as the target detection area, obtains the emission information of the target detection area, and performs correlation analysis between the pollutant information to be declared and the emission information based on the preset synergistic hazard knowledge graph to identify whether there is a synergistic hazard risk that may amplify environmental hazards due to the coexistence of different pollutants, and generates a risk level. The environmental cost correction module acquires background data of the target detection area, including regional environmental capacity data and pollutant dissipation rate. Based on the background data and the information of pollutants to be declared, it generates an environmental cost impact value through comprehensive evaluation. The pollution discharge rights decision module obtains the environmental cost impact values ​​of multiple application documents within the target detection area, prioritizes them, and matches and allocates pollution discharge rights based on the ranking results and risk levels to determine whether to allocate pollution discharge rights to the corresponding enterprises and the amount of pollution discharge rights allocated.

2. The document information matching system based on pollution discharge rights according to claim 1, characterized in that, The target area also includes enterprise information, which includes basic enterprise information and pollutant information. Based on the pollutant emission status of the enterprises, the enterprises are divided into those that have emitted pollutants and those that have not emitted pollutants. Correlation analysis also includes: The risk assessment submodule for enterprises that have already emitted pollutants obtains the types of pollutants to be declared and the types of pollutants emitted by enterprises that have already emitted pollutants, and uses a synergistic hazard knowledge graph to determine whether there is a pre-set synergistic hazard risk between the two. The risk assessment submodule for non-emission enterprises obtains the types of pollutants to be declared and the types of pollutants to be emitted by non-emission enterprises, and uses a synergistic hazard knowledge graph to determine whether there is a pre-set synergistic hazard risk between the two. The risk analysis submodule for non-emission enterprises obtains the emission volume of the pollutant to be declared, the emission volume of the pollutant to be emitted, and the enterprise information corresponding to the emission volume of the pollutant to be emitted when there is a synergistic hazard between the pollutant type to be declared and the pollutant type to be emitted by the non-emission enterprise.

3. The document information matching system based on pollution discharge rights according to claim 1, characterized in that, The environmental cost correction module includes: The conflict detection submodule is used to obtain the risk of synergistic hazards, synergistic degradation parameters, and synergistic impact coefficients. Based on the basic environmental cost, regional environmental capacity data, synergistic impact coefficients, and digestion time, it obtains the potential environmental cost. The disposal timing verification submodule is equipped with a disposal database. It retrieves the corresponding disposal time from the disposal database based on the information of the pollutants to be declared, and determines whether the preset disposal requirements are met based on the disposal time. The comprehensive evaluation submodule performs a comprehensive environmental risk assessment based on the premise that the potential environmental costs are simultaneously absorbed within the specified timeframe, and generates an environmental cost impact value. If the absorption time does not meet the preset absorption requirements, no environmental cost is allocated.

4. The document information matching system based on pollution discharge rights according to claim 3, characterized in that, The pollution discharge rights decision-making module includes prioritizing applicant companies based on their environmental cost impact value and checking their risk levels sequentially. If the risk level is unacceptable, the company is marked as not allocated. For companies with an acceptable risk level, the module retrieves the pollutant list of non-applicant companies in the target area and uses a synergistic hazard knowledge graph to determine whether there is a preset synergistic hazard risk between the pollutant type to be applied for and the non-discharged pollutant type. For non-applicant companies with conflicts, the module obtains their pollutant information and analyzes their estimated emissions. If the estimated emissions are greater than a preset threshold, the module determines that the company applying for the application conflicts with a key enterprise in the target area and therefore does not allocate the rights.

5. A document information matching system based on pollution discharge rights according to claim 1, characterized in that, The pollutant information also includes the company's initial quotation, and the background data also includes the scarcity of regional pollution discharge rights. The scarcity of regional pollution discharge rights is dynamically calculated based on the ratio of the real-time remaining pollution discharge rights in the target area to the historical declaration volume. It also includes a pricing evaluation module, which is used to obtain the company's initial price, environmental cost impact value, and regional pollution discharge rights scarcity. Based on the management objectives of the target area and the types of pollutants to be declared, the module dynamically adjusts the weight ratio and obtains the corrected pollution discharge price based on the weight calculation formula.

6. The document information matching system based on pollution discharge rights according to claim 1, characterized in that, The synergistic reaction database also includes the conditions for chemical reactions of various pollutant combinations, matches the synergistic degradation pathways of the pollutants to be declared, and calculates the reaction conditions and reaction feasibility. Based on the emission amount of the pollutants to be declared, the volume of environmental water sources, and the reaction condition parameters, the degradation rate and the amount of harmful substance reduction are calculated and obtained. At the same time, the stability of the reaction conditions and whether there is secondary pollution are verified. If the reaction conditions are stable and there is no secondary pollution, the degradation rate and the amount of harmful substance reduction are output as synergistic degradation parameters.

7. A document information matching system based on pollution discharge rights according to claim 1, characterized in that, The synergistic hazard knowledge graph is a synergistic reaction database pre-established based on a chemical reaction database. This reaction database records multiple combinations of pollutants, whose overall environmental hazard is higher than the sum of the individual effects of each pollutant.

8. A document information matching system based on pollution discharge rights according to claim 7, characterized in that, The emission information of the target detection area includes environmental information, which includes characteristic pollutant types. The correlation analysis includes obtaining the pollutant type to be reported and the characteristic pollutant type, and determining whether there is a preset synergistic hazard risk between the two through a synergistic hazard knowledge graph.

9. A document information matching system based on pollution discharge rights according to claim 1, characterized in that, It also includes a feedback guidance module. When an enterprise is not allocated pollution discharge rights, it retrieves the enterprise's pollution discharge rights application documents, risk level, and environmental cost impact value, and generates a graded improvement plan. The graded improvement plan includes a short-term treatment strategy, a medium-term adaptation strategy, and a long-term transformation strategy. The short-term treatment strategy quickly reduces the risk of pollutant emissions, the medium-term adaptation strategy adjusts the pollutant emission structure and declaration plan, and the long-term transformation strategy guides the enterprise to transform towards a green and low-carbon production model.

10. A method for matching document information based on pollution discharge rights, characterized in that, include: The document parsing step is used to receive the pollution discharge right application documents submitted by enterprises and extract basic enterprise information and information on pollutants to be declared. The information on pollutants to be declared includes pollutant type, concentration, and emission location. The pollutant information verification step involves, based on the pollutant information to be declared in the application documents, taking the emission location as the target detection area, obtaining the emission information of the target detection area, performing a correlation analysis between the pollutant information to be declared and the emission information, identifying whether there is a synergistic risk of environmental harm that may be amplified due to the coexistence of different pollutants, and generating a risk level. The environmental cost correction step involves obtaining background data for the target detection area, including regional environmental capacity data and pollutant dissipation rate, obtaining information on pollutants to be declared, and generating environmental cost impact values. The decision-making process for pollution discharge rights involves obtaining the environmental cost impact values ​​of multiple application documents within the target monitoring area, prioritizing them, and then matching and allocating pollution discharge rights based on the ranking results and risk levels to determine whether to allocate pollution discharge rights to the corresponding enterprises and the amount of pollution discharge rights allocated.

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