Thermal power plant environmental protection evaluation method and system

Abstract

The invention discloses a thermal power plant environmental protection evaluation method and system, and the method comprises the steps: obtaining and dividing the historical pollutant discharge data of a thermal power plant, obtaining a plurality of discharge stages, determining the discharge data characteristics of the thermal power plant, and evaluating the environmental protection state of the thermal power plant based on the discharge data characteristics to obtain an environmental protection state evaluation value; determining the weight of each emission stage, and determining the historical environmental protection state evaluation value of the thermal power plant based on the weight and the environmental protection state evaluation value; constructing a prediction model for prediction based on the historical pollutant emission data and a preset model to obtain pollutant emission prediction data, determining emission trend characteristics of the pollutant emission prediction data, and determining an environmental protection adjustment coefficient based on the emission trend characteristics of the pollutant emission prediction data; and adjusting the historical environmental protection state evaluation value based on the environmental protection adjustment coefficient to obtain an environmental protection evaluation value. According to the method, the comprehensive environmental protection evaluation value of the thermal power plant is generated by fusing historical tracing and future prediction, the crossing from static evaluation to dynamic prediction is realized, and the environmental protection comprehensive level of the power plant can be quantified more scientifically and accurately.

Description

Technical Field

[0001] This invention relates to the field of thermal power generation technology, and in particular to a method and system for environmental assessment of thermal power plants. Background Technology

[0002] With the urgent need for green transformation of my country's energy structure, the accurate and scientific assessment of the environmental performance of the thermal power industry, as a traditional major carbon emitter, has become crucial.

[0003] However, traditional environmental assessments of thermal power plants often focus on static assessments of instantaneous emission concentrations or annual total emissions. This instantaneous assessment method has obvious limitations. It is difficult to reflect the continuous improvement efforts of power plants over a long operating cycle with technological innovation and policy guidance, and it is also impossible to predict their future emission reduction potential and development trends. As a result, the assessment results often lag behind the actual environmental performance and are difficult to meet the needs of modern and refined environmental management. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a method and system for environmental assessment of thermal power plants, comprising:

[0005] Historical pollutant emission data of thermal power plants are obtained, and the historical pollutant emission data is divided into stages to obtain the emission stages in the historical pollutant emission data;

[0006] The emission data characteristics of each emission stage are determined, and the environmental status of each emission stage is assessed based on the emission data characteristics to obtain the environmental status assessment value.

[0007] The weights of each emission stage are determined, and the historical environmental status assessment values ​​of thermal power plants are determined comprehensively based on the weights of each emission stage and the environmental status assessment values.

[0008] A pollutant emission prediction model is constructed based on historical pollutant emission data and a pre-set model, and predictions are made based on the pollutant emission prediction model to obtain pollutant emission prediction data.

[0009] Analyze the pollutant emission prediction data to determine the emission trend characteristics of pollutants, and determine the environmental protection adjustment coefficient based on the emission trend characteristics;

[0010] The environmental assessment value of the thermal power plant is obtained by adjusting the historical environmental status assessment value of the thermal power plant based on the environmental adjustment coefficient.

[0011] Furthermore, the acquisition of historical pollutant emission data from thermal power plants, and the segmentation of this historical pollutant emission data into stages to obtain emission stages within the historical pollutant emission data, includes:

[0012] Obtain historical pollutant emission data from thermal power plants and determine the preset emission phase time interval;

[0013] Based on the preset emission stage time interval, the historical pollutant emission data is divided into stages to obtain the emission stages in the historical pollutant emission data.

[0014] Furthermore, the process of determining the emission data characteristics of each emission stage and assessing the environmental status of each emission stage based on these characteristics to obtain an environmental status assessment value includes:

[0015] Determine the total emission data for each pollutant type in each emission stage, and determine the total standard emission data for each pollutant type;

[0016] Screen the types of pollutants whose total emission data exceeds the standard emission data in each emission stage, and determine the number of pollutant types screened out.

[0017] Calculate the difference between the sum of emission data for each screened pollutant type in each emission stage and the sum of standard emission data, and evaluate the calculated difference to obtain the emission deviation value for each screened pollutant type.

[0018] The proportion of each pollutant type in each emission stage is calculated based on the number of pollutant types selected. The environmental status assessment value for each emission stage is then calculated based on the proportion of each pollutant type and the emission deviation value of each pollutant type.

[0019] Furthermore, the formula for calculating the environmental status assessment value is as follows:

[0020]

[0021] Where P is the environmental status assessment value, z is the preset assessment value conversion coefficient, h is the proportion of the selected pollutant types, Ti is the emission deviation value of the i-th selected pollutant type, and m is the number of selected pollutant types.

[0022] Furthermore, determining the weight of each emission stage and comprehensively determining the historical environmental status assessment value of the thermal power plant based on the weight of each emission stage and the environmental status assessment value includes:

[0023] The time length of each emission stage is determined, and the time length of each emission stage is normalized to obtain the weight of each emission stage.

[0024] The historical environmental status assessment value of the thermal power plant is obtained by weighting and adding the weights of each emission stage with the corresponding environmental status assessment value.

[0025] Furthermore, the step of constructing a pollutant emission prediction model based on historical pollutant emission data and a preset model, and then making predictions based on the pollutant emission prediction model to obtain pollutant emission prediction data, includes:

[0026] Extract features from historical pollutant emission data and construct a dataset based on the historical pollutant emission data and the corresponding features;

[0027] The dataset is input into a pre-defined neural network model to construct an initial model for predicting pollutant emissions;

[0028] The dataset is divided into training and testing sets according to a preset ratio, and the training and testing sets are input into the initial model for predicting pollutant emissions.

[0029] The initial model for predicting pollutant emissions is trained and tested until it meets the preset convergence conditions, thus obtaining the pollutant emission prediction model.

[0030] Real-time pollutant emission data is acquired and input into a pollutant emission prediction model for prediction, resulting in predicted pollutant emission data for a future period.

[0031] Furthermore, the analysis of pollutant emission prediction data to determine the emission trend characteristics of pollutants, and the determination of environmental protection adjustment coefficients based on the emission trend characteristics, includes:

[0032] The pollutant emission prediction data is divided into multiple pollutant type prediction data groups according to the pollutant type, and the predicted pollutant emission change curves for each pollutant type over time are constructed based on each pollutant type prediction data group.

[0033] Determine the slope value of the predicted pollutant emission change curve corresponding to each pollutant type, and define the slope value of the predicted pollutant emission change curve corresponding to each pollutant type as the emission trend characteristic of the pollutant.

[0034] The slope values ​​of the standard curves for each pollutant type are determined, and the environmental regulation coefficients are calculated based on the slope values ​​of the predicted pollutant emission change curves corresponding to each pollutant type and the slope values ​​of the standard curves.

[0035] Furthermore, the formula for calculating the environmental regulation coefficient is as follows:

[0036]

[0037] Where r is the environmental protection adjustment coefficient, q is the preset adjustment conversion coefficient, αi is the preset weight of the i-th pollutant type, ki is the slope value of the predicted pollutant emission change curve corresponding to the i-th pollutant type, k0 is the slope value of the standard curve of the i-th pollutant type, and n is the number of pollutant types.

[0038] Furthermore, the adjustment of the historical environmental status assessment value of the thermal power plant based on the environmental adjustment coefficient to obtain the environmental assessment value of the thermal power plant includes:

[0039] The environmental protection adjustment coefficient is multiplied by the historical environmental status assessment value of the thermal power plant to obtain the environmental protection assessment value of the thermal power plant, and the environmental protection of the thermal power plant is assessed based on the environmental protection assessment value.

[0040] This invention also provides an environmental assessment system for thermal power plants, comprising:

[0041] The acquisition module is used to acquire historical pollutant emission data of thermal power plants and divide the historical pollutant emission data into stages to obtain the emission stages in the historical pollutant emission data.

[0042] The assessment module is used to determine the emission data characteristics of each emission stage and assess the environmental status of each emission stage based on the emission data characteristics to obtain the environmental status assessment value.

[0043] The determination module is used to determine the weight of each emission stage, and to comprehensively determine the historical environmental status assessment value of the thermal power plant based on the weight of each emission stage and the environmental status assessment value.

[0044] The prediction module is used to build a pollutant emission prediction model based on historical pollutant emission data and a preset model, and to make predictions based on the pollutant emission prediction model to obtain pollutant emission prediction data.

[0045] The calculation module is used to analyze pollutant emission prediction data, determine the emission trend characteristics of pollutants, and determine the environmental protection adjustment coefficient based on the emission trend characteristics.

[0046] The adjustment module is used to adjust the historical environmental status assessment value of the thermal power plant based on the environmental adjustment coefficient to obtain the environmental assessment value of the thermal power plant.

[0047] Compared with existing technologies, the environmental assessment method and system for thermal power plants proposed in this invention have the following advantages:

[0048] This invention constructs a comprehensive quantitative assessment system for environmental status that fully covers the spatiotemporal dimensions by systematically integrating multi-stage analysis, dynamic weighted evaluation, and future emission trend prediction of historical emission data from thermal power plants. It overcomes the limitations of traditional static assessments by identifying historical emission stages based on statistical breakpoint detection and policy evolution logic, extracting emission data characteristics from each stage, and calculating historical environmental status assessment values ​​accordingly. This objectively reflects the performance evolution of power plants at different stages. The invention uses time series models to predict future emission trajectories and generates environmental adjustment coefficients by analyzing trend characteristics, dynamically capturing the emission reduction development trends of enterprises. This invention uses these coefficients to proactively correct historical assessment values, generating a comprehensive assessment value that combines historical accuracy with future trend sensitivity. This invention achieves a leap from passive compliance evaluation to proactive trend management, enabling more scientific and accurate quantification of the comprehensive environmental level of power plants. It provides more scientific and dynamic decision support for environmental protection departments to implement precise supervision, formulate differentiated policies, and for enterprises to carry out green technological transformation. Attached Figure Description

[0049] Figure 1 This is a schematic diagram of the process structure of the environmental assessment method for thermal power plants in an embodiment of the present invention;

[0050] Figure 2 This is a schematic diagram of the composition of the environmental assessment system for thermal power plants in an embodiment of the present invention. Detailed Implementation

[0051] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0052] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the platform or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0053] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0054] like Figure 1As shown in the embodiments of this application, an environmental assessment method for thermal power plants is provided, comprising: S100: acquiring historical pollutant emission data of the thermal power plant and dividing the historical pollutant emission data into stages to obtain emission stages in the historical pollutant emission data; S200: determining the emission data characteristics of each emission stage and assessing the environmental status of each emission stage based on the emission data characteristics to obtain an environmental status assessment value; S300: determining the weight of each emission stage and comprehensively determining the historical environmental status assessment value of the thermal power plant based on the weight of each emission stage and the environmental status assessment value; S400: constructing a pollutant emission prediction model based on the historical pollutant emission data and a preset model, and making predictions based on the pollutant emission prediction model to obtain pollutant emission prediction data; S500: analyzing the pollutant emission prediction data, determining the emission trend characteristics of pollutants, and determining an environmental adjustment coefficient based on the emission trend characteristics; S600: adjusting the historical environmental status assessment value of the thermal power plant based on the environmental adjustment coefficient to obtain the environmental assessment value of the thermal power plant.

[0055] Furthermore, this invention constructs a comprehensive quantitative assessment system for environmental status that fully covers the spatiotemporal dimensions by systematically integrating multi-stage analysis, dynamic weighted evaluation, and future emission trend prediction of historical emission data from thermal power plants. This system overcomes the limitations of traditional static assessments, identifying historical emission stages based on statistical breakpoint detection and policy evolution logic, extracting emission data characteristics from each stage, and calculating historical environmental status assessment values ​​accordingly. This objectively reflects the performance evolution of power plants at different stages. This invention uses time series models to predict future emission trajectories and generates environmental adjustment coefficients by analyzing trend characteristics, dynamically capturing the emission reduction development trends of enterprises. This invention uses these coefficients to proactively correct historical assessment values, generating a comprehensive assessment value that combines historical accuracy with future trend sensitivity. This invention achieves a leap from passive compliance evaluation to proactive trend management, enabling more scientific and accurate quantification of the comprehensive environmental level of power plants. This provides more scientific and dynamic decision support for environmental protection departments to implement precise supervision, formulate differentiated policies, and for enterprises to carry out green technological transformation.

[0056] In an embodiment of this application, an environmental assessment method for thermal power plants is provided. The method involves acquiring historical pollutant emission data of the thermal power plant and dividing the historical pollutant emission data into stages to obtain emission stages in the historical pollutant emission data. The method includes: acquiring historical pollutant emission data of the thermal power plant and determining a preset emission stage time interval; dividing the historical pollutant emission data into stages based on the preset emission stage time interval to obtain emission stages in the historical pollutant emission data.

[0057] Specifically, based on pre-defined emission phase time intervals, historical pollutant emission data from thermal power plants are scientifically divided into phases. By studying national environmental protection policies and regulations, implementation milestones of major technical standards, and the industry's clean development process, multiple emission phase time intervals with significant differences in characteristics are pre-defined. The acquired long-term historical emission data is then segmented and categorized according to this pre-defined time framework, thereby dividing the continuous data stream into multiple independent emission phases with relatively consistent intrinsic characteristics. This step interprets data points within a specific policy and technological context, avoiding the one-sidedness of simple numerical comparisons detached from historical conditions, and making the assessment results more consistent with the actual development of the industry. Discretizing continuous data into different phases provides a clear structured framework for subsequent phased extraction of emission characteristics and comparative analysis. By dividing the data into unified time intervals based on objective historical events, the consistency of assessment benchmarks between different power plants or at different times within the same power plant is ensured, enhancing the comparability and fairness of the assessment results.

[0058] In an embodiment of this application, an environmental assessment method for thermal power plants is provided. The method involves determining the emission data characteristics of each emission stage and assessing the environmental status of each emission stage based on these characteristics to obtain an environmental status assessment value. This includes: determining the total emission data of each pollutant type in each emission stage and determining the standard emission data of each pollutant type; screening pollutant types whose total emission data exceeds the standard emission data in each emission stage and determining the number of screened pollutant types; calculating the difference between the total emission data of each screened pollutant type and the standard emission data in each emission stage, and evaluating the calculated difference to obtain an emission deviation value for each screened pollutant type; calculating the proportion of screened pollutant types in each emission stage based on the number of screened pollutant types, and calculating the environmental status assessment value for each emission stage based on the proportion of screened pollutant types and the emission deviation value for each screened pollutant type.

[0059] Specifically, the process involves calculating the total emission data for each pollutant in each emission stage and comparing it with the established standard emission data. All pollutant types whose total emissions exceed the corresponding standard values ​​are identified, and their numbers are counted. For each pollutant exceeding the standard, the difference between its total emissions and the standard value is precisely calculated, and this difference is standardized to determine its emission deviation value, which reflects the severity of the exceedance of a single pollutant. The proportion of pollutant types exceeding the standard is combined with the emission deviation values ​​of all pollutants exceeding the standard to obtain the environmental status assessment value for that emission stage. This step transforms the abstract environmental status into concrete, calculable numerical indicators, avoiding the interference of subjective judgment and making the assessment results more objective and accurate. By focusing on "pollutants exceeding the standard," the "shortcomings" in environmental performance during that emission stage are effectively identified, guiding the analysis to focus on key issues and weak links. The number of exceedance types reflects the breadth of environmental problems, while the emission deviation value measures the severity of each problem. Combining the two allows for a comprehensive and balanced assessment of the overall environmental status of a stage, avoiding the one-sidedness of only looking at the number of exceedances or the degree of exceedance of a single pollutant.

[0060] In an embodiment of this application, an environmental assessment method for thermal power plants is provided, wherein the formula for calculating the environmental status assessment value is:

[0061]

[0062] Where P is the environmental status assessment value, z is the preset assessment value conversion coefficient, h is the proportion of the selected pollutant types, Ti is the emission deviation value of the i-th selected pollutant type, and m is the number of selected pollutant types.

[0063] In an embodiment of this application, an environmental assessment method for thermal power plants is provided. The method for determining the weight of each emission stage and comprehensively determining the historical environmental status assessment value of the thermal power plant based on the weight of each emission stage and the environmental status assessment value includes: determining the time length of each emission stage and normalizing the time length of each emission stage to obtain the weight of each emission stage; and weighting and adding the weight of each emission stage with the corresponding environmental status assessment value to obtain the historical environmental status assessment value of the thermal power plant.

[0064] Specifically, the time length covered by each emission stage is accurately determined, and then the time length of each stage is normalized and converted into a weight with a sum of 1. This weight directly reflects the proportion of a certain stage in the overall assessment time span. The environmental status assessment value of each emission stage is weighted and added together with its corresponding weight coefficient to obtain a single, comprehensive historical environmental status assessment value of the thermal power plant. This step acknowledges the varying impacts of different durations on overall environmental performance. By normalizing weights, it objectively balances the influence of long-term and short-term phases, avoiding distortions that may result from simple arithmetic averaging. The weighted calculation result is not a static score but a dynamic evaluation that incorporates time weights, more accurately reflecting the power plant's "environmental performance level for most of the time" throughout its historical operation, giving the comprehensive assessment value a greater historical depth. This assessment value can be used not only for horizontal comparison of the comprehensive environmental history of different power plants but also for longitudinal analysis of the performance evolution of the same power plant over time. If the assessment value of the more recent phase (with higher duration weight) is high, the comprehensive assessment value will significantly improve, which aligns with the management orientation of encouraging continuous improvement and makes the assessment results more practically instructive.

[0065] In embodiments of this application, an environmental assessment method for thermal power plants is provided. The method involves constructing a pollutant emission prediction model based on historical pollutant emission data and a preset model, and then using this model to make predictions to obtain pollutant emission prediction data. The method includes: extracting features from historical pollutant emission data and constructing a dataset based on the historical pollutant emission data and corresponding features; inputting the dataset into a preset neural network model to construct an initial pollutant emission prediction model; dividing the dataset into a training set and a test set according to a preset ratio, and inputting the training set and test set into the initial pollutant emission prediction model; training and testing the initial pollutant emission prediction model until it meets a preset convergence condition to obtain the pollutant emission prediction model; acquiring real-time pollutant emission data and inputting it into the pollutant emission prediction model for prediction to obtain pollutant emission prediction data for a future period.

[0066] Specifically, key features are extracted from historical pollutant emission data to form a dataset containing input features and corresponding output labels. This dataset is then input into a pre-defined neural network structure to construct an initial prediction model. The dataset is divided into training and testing sets according to a pre-defined ratio. The model is first iteratively trained using the training set to learn emission patterns, and then its generalization ability is verified using the testing set, until the model's loss function converges and the prediction error stabilizes within a pre-defined threshold, ultimately resulting in a fully trained pollutant emission prediction model. By inputting real-time monitored emission data into this model, a predicted sequence of pollutant concentrations for a specific future period can be output. In this step, the neural network can deeply explore the complex nonlinear relationships between emission data and operating parameters and time factors, surpassing the limitations of traditional linear models. This elevates environmental management from "post-event monitoring" to "pre-event prediction," supporting operators to proactively adjust the operating parameters of desulfurization and denitrification equipment based on prediction results, achieving precise emission reduction and cost optimization, and effectively avoiding the risk of exceeding standards.

[0067] In an embodiment of this application, an environmental assessment method for thermal power plants is provided. The method involves analyzing pollutant emission prediction data, determining the emission trend characteristics of pollutants, and determining environmental adjustment coefficients based on these emission trend characteristics. This includes: dividing the pollutant emission prediction data into multiple pollutant type prediction data groups according to pollutant type, and constructing predicted pollutant emission change curves for each pollutant type over a corresponding time period based on each pollutant type prediction data group; determining the slope value of the predicted pollutant emission change curves for each pollutant type, and defining the slope value of these curves as the emission trend characteristics of the pollutants; determining the slope value of the standard curve for each pollutant type, and calculating the environmental adjustment coefficient based on the slope values ​​of the predicted pollutant emission change curves for each pollutant type and the slope values ​​of the standard curves.

[0068] Specifically, the predicted data are grouped according to pollutant type, forming multiple independent pollutant type predicted data groups. For each group of data, a predicted pollutant emission change curve is fitted with its time series as the horizontal axis and the predicted concentration as the vertical axis. The slope value of each change curve is accurately calculated using mathematical methods, and this slope value is directly defined as the emission trend characteristic of that pollutant. The slope of the predicted curve of each pollutant is compared with the slope value of a preset standard curve representing the ideal emission reduction direction. The calculation result is the environmental protection adjustment coefficient, which comprehensively reflects the overall deviation between the predicted trend and the ideal trend of all pollutants. This step transforms abstract forecast data into concrete curve slopes, enabling precise measurement and qualitative judgment of complex emission trends, making them readily apparent. This step not only focuses on the predicted concentration value at a specific future point in time but also on the dynamic changes throughout the entire forecast period, thus revealing a deeper understanding of future environmental performance trends. The environmental adjustment coefficient, as a comprehensive indicator, can quantitatively assess the overall trend of a power plant's future emission behavior relative to expected targets. A positive coefficient can be used to adjust historical assessment values ​​upwards, rewarding improvement potential, while a negative coefficient serves as an early warning. This ensures that the final environmental assessment value is no longer merely a historical summary but becomes a scientific tool that incorporates future expectations, is dynamic, and has both incentive and guiding effects.

[0069] In an embodiment of this application, an environmental assessment method for thermal power plants is provided, wherein the formula for calculating the environmental adjustment coefficient is as follows:

[0070]

[0071] Where r is the environmental protection adjustment coefficient, q is the preset adjustment conversion coefficient, αi is the preset weight of the i-th pollutant type, ki is the slope value of the predicted pollutant emission change curve corresponding to the i-th pollutant type, k0 is the slope value of the standard curve of the i-th pollutant type, and n is the number of pollutant types.

[0072] In an embodiment of this application, an environmental assessment method for a thermal power plant is provided. The method involves adjusting the historical environmental status assessment value of the thermal power plant based on an environmental adjustment coefficient to obtain an environmental assessment value for the thermal power plant. This includes multiplying the environmental adjustment coefficient by the historical environmental status assessment value of the thermal power plant to obtain the environmental assessment value, and then assessing the environmental protection of the thermal power plant based on the environmental assessment value.

[0073] Specifically, a comprehensive and dynamic environmental assessment value for thermal power plants is generated by multiplying an environmental adjustment coefficient that characterizes future emission trends with a historical environmental status assessment value that reflects historical performance. This calculation process uses the historical assessment value as a baseline, while the environmental adjustment coefficient acts as a dynamic modulator. If the predicted trend is positive (adjustment coefficient > 1), the final assessment value is adjusted upward to acknowledge and incentivize future improvement potential; if the predicted trend is negative (adjustment coefficient < 1), the final assessment value is adjusted downward to reflect potential environmental risks. The environmental protection level of the thermal power plant is determined based on this comprehensive assessment value. This step breaks through the static limitations of traditional assessments that only focus on historical data. By introducing the moderating effect of future trends, the assessment results are not only a summary of past performance but also a dynamic measure of the overall environmental situation (including development potential), significantly improving the timeliness and forward-looking nature of the assessment. The model rewards companies with good historical performance and continuous improvement, while also warning companies that have met historical standards but may regress in the future, or encouraging companies with average historical performance but showing strong improvement momentum, guiding resources towards directions with sustainable emission reduction potential. The final assessment value is directly linked to future trends, providing companies with clear improvement signals. A positive development trend can be immediately reflected in the assessment results, which greatly motivates companies not only to be satisfied with static compliance but also to commit to continuous technological innovation and refined management to optimize their long-term environmental performance, thereby driving the entire industry towards a green and sustainable development direction.

[0074] like Figure 2 As shown in the embodiments of this application, an environmental assessment system for thermal power plants is provided, comprising: an acquisition module for acquiring historical pollutant emission data of the thermal power plant and dividing the historical pollutant emission data into stages to obtain emission stages in the historical pollutant emission data; an assessment module for determining the emission data characteristics of each emission stage and assessing the environmental status of each emission stage based on the emission data characteristics to obtain an environmental status assessment value; a determination module for determining the weight of each emission stage and comprehensively determining the historical environmental status assessment value of the thermal power plant based on the weight of each emission stage and the environmental status assessment value; a prediction module for constructing a pollutant emission prediction model based on the historical pollutant emission data and a preset model, and making predictions based on the pollutant emission prediction model to obtain pollutant emission prediction data; a calculation module for analyzing the pollutant emission prediction data, determining the emission trend characteristics of pollutants, and determining an environmental adjustment coefficient based on the emission trend characteristics; and an adjustment module for adjusting the historical environmental status assessment value of the thermal power plant based on the environmental adjustment coefficient to obtain the environmental assessment value of the thermal power plant.

[0075] In summary, this invention provides a method and system for environmental assessment of thermal power plants, comprising: acquiring and classifying historical pollutant emission data of the thermal power plant to obtain multiple emission stages, determining their emission data characteristics, and assessing their environmental status based on the emission data characteristics to obtain an environmental status assessment value; determining the weight of each emission stage, and determining the historical environmental status assessment value of the thermal power plant based on the weight and the environmental status assessment value; constructing a prediction model based on historical pollutant emission data and a preset model to predict pollutant emissions, determining their emission trend characteristics, and determining an environmental adjustment coefficient based on the emission trend characteristics; and adjusting the historical environmental status assessment value based on the environmental adjustment coefficient to obtain the environmental assessment value. This invention, by integrating historical data and future prediction to generate a comprehensive environmental assessment value for thermal power plants, achieves a leap from static evaluation to dynamic prediction, enabling a more scientific and accurate quantification of the comprehensive environmental level of power plants.

[0076] Finally, it should be noted that those skilled in the art can obviously make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims and their equivalents, this invention also intends to include these modifications and variations.

[0077] The above description is merely one embodiment of the present invention, and should not be construed as limiting the scope of the invention. Any structural changes made based on the present invention, as long as they do not depart from the essence of the invention, should be considered as falling within the protection scope of the present invention and subject to its restrictions. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process and related descriptions of the platform described above can be referred to the corresponding processes in the foregoing platform embodiments, and will not be repeated here.

[0078] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, platform, article, or device / platform that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to those processes, platforms, articles, or devices / platforms.

[0079] The technical solutions of the present invention have been described in conjunction with the accompanying drawings and further embodiments. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to closely related technical features, and the technical solutions resulting from such changes or substitutions will all fall within the scope of protection of the present invention.

[0080] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention.

Claims

1. A method for environmental assessment of thermal power plants, characterized in that, include: Historical pollutant emission data of thermal power plants are obtained, and the historical pollutant emission data is divided into stages to obtain the emission stages in the historical pollutant emission data; The emission data characteristics of each emission stage are determined, and the environmental status of each emission stage is assessed based on the emission data characteristics to obtain the environmental status assessment value. The weights of each emission stage are determined, and the historical environmental status assessment values ​​of thermal power plants are determined comprehensively based on the weights of each emission stage and the environmental status assessment values. A pollutant emission prediction model is constructed based on historical pollutant emission data and a pre-set model, and predictions are made based on the pollutant emission prediction model to obtain pollutant emission prediction data. Analyze the pollutant emission prediction data to determine the emission trend characteristics of pollutants, and determine the environmental protection adjustment coefficient based on the emission trend characteristics; The environmental assessment value of the thermal power plant is obtained by adjusting the historical environmental status assessment value of the thermal power plant based on the environmental adjustment coefficient.

2. The environmental assessment method for thermal power plants according to claim 1, characterized in that, The process of acquiring historical pollutant emission data from thermal power plants and dividing this data into stages to obtain emission stages within the historical pollutant emission data includes: Obtain historical pollutant emission data from thermal power plants and determine the preset emission phase time interval; Based on the preset emission stage time interval, the historical pollutant emission data is divided into stages to obtain the emission stages in the historical pollutant emission data.

3. A method for environmental assessment of thermal power plants according to claim 2, characterized in that, The process of determining the emission data characteristics for each emission stage and assessing the environmental status of each emission stage based on these characteristics to obtain an environmental status assessment value includes: Determine the total emission data for each pollutant type in each emission stage, and determine the total standard emission data for each pollutant type; Screen the types of pollutants whose total emission data exceeds the standard emission data in each emission stage, and determine the number of pollutant types screened out. Calculate the difference between the sum of emission data for each screened pollutant type in each emission stage and the sum of standard emission data, and evaluate the calculated difference to obtain the emission deviation value for each screened pollutant type. The proportion of each pollutant type in each emission stage is calculated based on the number of pollutant types selected. The environmental status assessment value for each emission stage is then calculated based on the proportion of each pollutant type and the emission deviation value of each pollutant type.

4. A method for environmental assessment of thermal power plants according to claim 3, characterized in that, The formula for calculating the environmental status assessment value is as follows: Where P is the environmental status assessment value, z is the preset assessment value conversion coefficient, h is the proportion of the selected pollutant types, Ti is the emission deviation value of the i-th selected pollutant type, and m is the number of selected pollutant types.

5. A method for environmental assessment of thermal power plants according to claim 3, characterized in that, The process of determining the weights of each emission stage and comprehensively determining the historical environmental status assessment value of the thermal power plant based on the weights of each emission stage and the environmental status assessment value includes: The time length of each emission stage is determined, and the time length of each emission stage is normalized to obtain the weight of each emission stage. The historical environmental status assessment value of the thermal power plant is obtained by weighting and adding the weights of each emission stage with the corresponding environmental status assessment value.

6. A method for environmental assessment of thermal power plants according to claim 5, characterized in that, The process of constructing a pollutant emission prediction model based on historical pollutant emission data and a preset model, and then making predictions based on this model to obtain pollutant emission prediction data, includes: Extract features from historical pollutant emission data and construct a dataset based on the historical pollutant emission data and the corresponding features; The dataset is input into a pre-defined neural network model to construct an initial model for predicting pollutant emissions; The dataset is divided into training and testing sets according to a preset ratio, and the training and testing sets are input into the initial model for predicting pollutant emissions. The initial model for predicting pollutant emissions is trained and tested until it meets the preset convergence conditions, thus obtaining the pollutant emission prediction model. Real-time pollutant emission data is acquired and input into a pollutant emission prediction model for prediction, resulting in predicted pollutant emission data for a future period.

7. A method for environmental assessment of thermal power plants according to claim 6, characterized in that, The analysis of pollutant emission prediction data to determine the emission trend characteristics of pollutants, and the determination of environmental protection adjustment coefficients based on the emission trend characteristics, includes: The pollutant emission prediction data is divided into multiple pollutant type prediction data groups according to the pollutant type, and the predicted pollutant emission change curves for each pollutant type over time are constructed based on each pollutant type prediction data group. Determine the slope value of the predicted pollutant emission change curve corresponding to each pollutant type, and define the slope value of the predicted pollutant emission change curve corresponding to each pollutant type as the emission trend characteristic of the pollutant. The slope values ​​of the standard curves for each pollutant type are determined, and the environmental regulation coefficients are calculated based on the slope values ​​of the predicted pollutant emission change curves corresponding to each pollutant type and the slope values ​​of the standard curves.

8. A method for environmental assessment of thermal power plants according to claim 7, characterized in that, The formula for calculating the environmental protection adjustment coefficient is as follows: Where r is the environmental protection adjustment coefficient, q is the preset adjustment conversion coefficient, αi is the preset weight of the i-th pollutant type, ki is the slope value of the predicted pollutant emission change curve corresponding to the i-th pollutant type, k0 is the slope value of the standard curve of the i-th pollutant type, and n is the number of pollutant types.

9. A method for environmental assessment of thermal power plants according to claim 7, characterized in that, The process of adjusting the historical environmental status assessment value of the thermal power plant based on the environmental adjustment coefficient to obtain the environmental assessment value of the thermal power plant includes: The environmental protection adjustment coefficient is multiplied by the historical environmental status assessment value of the thermal power plant to obtain the environmental protection assessment value of the thermal power plant, and the environmental protection of the thermal power plant is assessed based on the environmental protection assessment value.

10. An environmental assessment system for thermal power plants, characterized in that, include: The acquisition module is used to acquire historical pollutant emission data of thermal power plants and divide the historical pollutant emission data into stages to obtain the emission stages in the historical pollutant emission data. The assessment module is used to determine the emission data characteristics of each emission stage and assess the environmental status of each emission stage based on the emission data characteristics to obtain the environmental status assessment value. The determination module is used to determine the weight of each emission stage, and to comprehensively determine the historical environmental status assessment value of the thermal power plant based on the weight of each emission stage and the environmental status assessment value. The prediction module is used to build a pollutant emission prediction model based on historical pollutant emission data and a preset model, and to make predictions based on the pollutant emission prediction model to obtain pollutant emission prediction data. The calculation module is used to analyze pollutant emission prediction data, determine the emission trend characteristics of pollutants, and determine the environmental protection adjustment coefficient based on the emission trend characteristics. The adjustment module is used to adjust the historical environmental status assessment value of the thermal power plant based on the environmental adjustment coefficient to obtain the environmental assessment value of the thermal power plant.

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