A rapid identification method for the toxic effects of new pollutants on organisms
By obtaining and decomposing pollutant parameter information, determining the biological health information and calculating the deviation rate, the problems of low identification efficiency and misjudgment in the existing technology are solved, and the rapid identification and accurate analysis of the biological toxicity effect under new pollutant conditions are achieved.
Patent Information
- Application Number
- CN202311409544.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-10-27
- Publication Date
- 2025-04-04
- Estimated Expiration
- 2043-10-27
AI Technical Summary
Existing biological toxicity identification methods cannot determine the critical information of biological health based on pollutant parameter information, and cannot dynamically analyze the impact of pollutant concentration deviation on biological health in real time, resulting in low recognition efficiency and easy to misjudgment.
By obtaining pollutant parameter information, decompose pollutant components, determine the critical information of biological health for each category, and calculate the deviation rate based on the proportion information of each component of the pollutant to determine whether it is greater than the preset threshold. If it is greater than, the toxicity index of the organism is calculated; if it is less than, the pollutant concentration information and the organism health status information are obtained in real time to generate related information.
It realizes the rapid identification of the toxic effects of organisms under new pollutants, improves identification efficiency, reduces the possibility of misjudgment, and can more accurately analyze the impact of pollutants on biological health.
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Figure CN117471053B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of toxic effect identification, and more specifically, to a method for rapidly identifying the toxic effects of organisms under new pollutant conditions. Background Art
[0002] With the rapid development of industrial urbanization, environmental pollution problems are becoming more serious. The number of pollutants entering rivers and other waters through surface water is increasing, and the types of pollutants have increased significantly, making the probability of complex pollution in water bodies greater and more complicated. Complex pollution usually refers to the coexistence and interaction or reaction of two or more pollutants of different types and properties in the same environmental medium (water, soil, atmosphere), thus causing pollution. Therefore, it is of great significance to conduct research on complex pollutants in pollution, especially heavily polluted water bodies.
[0003] Existing methods for identifying biological toxicity are unable to determine the critical information of biological health of each component category based on pollutant parameter information, and to dynamically analyze in real time the changes in biological health data caused by deviations in pollutant concentrations, thereby forming biological toxicity effects. The identification efficiency is poor and it is easy to cause misjudgments during the identification process. Summary of the invention
[0004] In order to solve at least one of the above technical problems, the present invention proposes a method for rapidly identifying the toxic effects of organisms under new pollutant conditions.
[0005] The first aspect of the present invention provides a method for rapidly identifying the toxic effects of new pollutants on organisms, comprising the following steps:
[0006] S1, obtaining pollutant parameter information, decomposing pollutant components according to the pollutant parameter information, and obtaining component categories and proportion information of each component;
[0007] S2, determining critical information of organism health of each component category based on pollutant parameter information;
[0008] S3, calculating the pollutant concentration information according to the proportion information of each component of the pollutant, comparing the current pollutant concentration information with the critical information of the organism's health, and obtaining the deviation rate;
[0009] S4, determining whether the deviation rate is greater than a preset deviation rate threshold;
[0010] S5, if it is greater than, calculate the organism toxicity index and obtain the organism toxicity components; if it is less than, obtain the pollutant concentration information and the organism health status information in real time, and generate the correlation information between the pollutant concentration information and the organism health status information.
[0011] In a preferred embodiment of the present invention, in step S1, "obtaining pollutant parameter information, decomposing pollutant components according to the pollutant parameter information, and obtaining component categories and information on the proportion of each component" specifically includes:
[0012] S11, obtaining pollutant parameter information, the pollutant parameter information including pollutant type and pollutant chemical formula;
[0013] S12, performing chemical decomposition according to the chemical formula of the pollutant to obtain the pollutant element;
[0014] S13, comparing the pollutant elements with the periodic table to form corresponding pollutant component categories;
[0015] S14, calculating the weight information of the components of each category from the component data of each category, and dividing the weight information of the components of each category by the total component weight to obtain the proportion information of the components of each category;
[0016] S15, modifying the weight coefficient according to the proportion information of each component to generate the proportion information of each component.
[0017] In a preferred embodiment of the present invention, in step S12, "chemically decomposing the pollutant according to its chemical formula to obtain the pollutant element" further includes:
[0018] S121, obtaining the element composition of pollutants, and extracting the components and contents of heavy metal elements in the pollutants;
[0019] S122, obtaining the composition and content of heavy metal elements in organisms;
[0020] S123, comparing the components and contents of heavy metal elements in the pollutants with the components and contents of heavy metal elements in the organisms to obtain the transfer information of heavy metal elements in the pollutants; generating the heavy metal toxicity diffusion rate according to the heavy metal element transfer information;
[0021] S124, if the heavy metal toxicity diffusion rate is greater than a preset rate threshold, it is determined that the corresponding heavy metal element component has high toxicity;
[0022] S125, if the heavy metal toxicity diffusion rate is less than a preset rate threshold, the heavy metal element components are eliminated and optimized pollutant component data is obtained.
[0023] In a preferred embodiment of the present invention, in step S15, "correcting the weight coefficient according to the proportion information of each component to generate the proportion information of each component" specifically includes:
[0024] S151, obtaining the proportion information of each component, and extracting the heavy metal content according to the pollutant components;
[0025] S152, generating a heavy metal toxicity diffusion rate according to the heavy metal element transfer information in the organism;
[0026] S153, arranging the heavy metal content components in the pollutants according to the heavy metal toxicity diffusion rate to obtain arrangement information;
[0027] S154, generating corresponding weight coefficients according to the arrangement information, and correcting the proportion information of each component according to the weight coefficients.
[0028] In a preferred embodiment of the present invention, a corresponding weight coefficient is generated according to the arrangement information, and the proportion information of each component is corrected according to the weight coefficient, which specifically includes:
[0029] Obtain information on the proportion of each component of the pollutant and generate the heavy metal content of each component in the pollutant;
[0030] The heavy metal content in each group of pollutants is then ranked from high to low to generate a heavy metal content list, thereby obtaining multiple heavy metal content lists corresponding to different components;
[0031] Based on multiple heavy metal content lists, the effects of pollutant components on changes in toxicity to organisms are analyzed to obtain organism toxicity effect data.
[0032] In a preferred embodiment of the present invention, in step S5, "real-time acquisition of pollutant concentration information and organism health status information, and generation of association information between the pollutant concentration information and the organism health status information" specifically includes:
[0033] Establish a correlation model between pollutant components and organism health indicators based on pollutant concentration information;
[0034] Combine pollutants of different categories and components in different proportions to obtain new pollutant component data;
[0035] The new pollutant component data is input into the correlation model for training until the correlation model converges to obtain an organism toxicity prediction model;
[0036] Output toxic effect data of pollutant categories and components based on the biological toxicity prediction model.
[0037] In a preferred embodiment of the present invention, pollutants of different categories are combined in different proportions to obtain new pollutant component data, specifically including:
[0038] Combine pollutants of different categories and components in different proportions to generate a pollutant mixture group;
[0039] The toxicity data of individual heavy metal elements in each group of pollutants were analyzed according to the mixed groups of pollutants;
[0040] According to the toxicity data of individual heavy metal elements in each group of pollutants, the key pollutants in each group of pollutants are obtained;
[0041] Real-time analysis of changing characteristics of toxic effects on organisms based on the chemical characteristics of key pollutants.
[0042] In a preferred embodiment of the present invention, after analyzing the toxic effect change characteristics of organisms in real time according to the chemical characteristics of key pollutants, the method further includes:
[0043] Obtain the variation characteristics of toxic effects on organisms and generate variation trend data between toxic variation characteristics and pollutant components;
[0044] Calculate the correlation between toxicity change characteristics and pollutant components based on change trend data;
[0045] A correction factor is generated based on the correlation, and the biological toxicity effect data is adjusted using the correction factor.
[0046] Compared with the prior art, the beneficial technical effects obtained by the present invention are:
[0047] By analyzing pollutant parameter information, performing pollutant element analysis and extraction, calculating the pollutant component categories and proportions, and then judging the impact of pollutant concentrations between different components on the health of organisms, the impact of different pollutant concentrations on the toxic effects of organisms can be analyzed, and the toxic components of organisms can be obtained, thereby realizing the rapid identification of organism toxicity under pollutant conditions. BRIEF DESCRIPTION OF THE DRAWINGS
[0048] Figure 1 A flow chart showing the rapid identification method of the toxic effects of organisms under the conditions of new pollutants of the present invention;
[0049] Figure 2 The flowchart of obtaining information on the proportion of each component of the pollutant according to the present invention is shown;
[0050] Figure 3 The optimized pollutant component data acquisition flow chart of the present invention is shown;
[0051] Figure 4 The flowchart of the method for correcting the proportion information of each component by weight coefficient of the present invention is shown. DETAILED DESCRIPTION
[0052] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.
[0053] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.
[0054] like Figure 1-4 As shown, the first aspect of the present invention provides a method for rapidly identifying the toxic effects of new pollutants on organisms, comprising the following steps:
[0055] S1, obtaining pollutant parameter information, decomposing pollutant components according to the pollutant parameter information, and obtaining component categories and proportion information of each component;
[0056] S2, determining critical information of organism health of each component category based on pollutant parameter information;
[0057] S3, calculating the pollutant concentration information according to the proportion information of each component of the pollutant, comparing the current pollutant concentration information with the critical information of the organism's health, and obtaining the deviation rate;
[0058] S4, determining whether the deviation rate is greater than a preset deviation rate threshold;
[0059] S5, if it is greater than, calculate the organism toxicity index and obtain the organism toxicity components; if it is less than, obtain the pollutant concentration information and the organism health status information in real time, and generate the correlation information between the pollutant concentration information and the organism health status information.
[0060] It should be noted that by decomposing the pollutant components and analyzing the pollutant component categories and the proportions of each component, different component categories can be analyzed separately, thereby improving the analysis accuracy of the toxicity of pollutants to organisms and achieving qualitative analysis of the toxicity of single pollutant components.
[0061] According to an embodiment of the present invention, in step S1, "obtaining pollutant parameter information, decomposing pollutant components according to the pollutant parameter information, and obtaining component categories and information on the proportion of each component" specifically includes:
[0062] S11, obtaining pollutant parameter information, the pollutant parameter information including pollutant type and pollutant chemical formula;
[0063] S12, performing chemical decomposition according to the chemical formula of the pollutant to obtain the pollutant element;
[0064] S13, comparing the pollutant elements with the periodic table to form corresponding pollutant component categories;
[0065] S14, calculating the weight information of the components of each category from the component data of each category, and dividing the weight information of the components of each category by the total component weight to obtain the proportion information of the components of each category;
[0066] S15, modifying the weight coefficient according to the proportion information of each component to generate the proportion information of each component.
[0067] It should be noted that by analyzing the weight of the components in each category and correcting the weight coefficient according to the proportion of the components in each category, the proportion analysis of each component can be made more accurate.
[0068] According to an embodiment of the present invention, the step S12 of “chemically decomposing the pollutant according to its chemical formula to obtain the pollutant element” further includes:
[0069] S121, obtaining the element composition of pollutants, and extracting the components and contents of heavy metal elements in the pollutants;
[0070] S122, obtaining the composition and content of heavy metal elements in organisms;
[0071] S123, comparing the components and contents of heavy metal elements in the pollutants with the components and contents of heavy metal elements in the organisms to obtain the transfer information of heavy metal elements in the pollutants; generating the heavy metal toxicity diffusion rate according to the heavy metal element transfer information;
[0072] S124, if the heavy metal toxicity diffusion rate is greater than a preset rate threshold, it is determined that the corresponding heavy metal element component has high toxicity;
[0073] S125, if the heavy metal toxicity diffusion rate is less than a preset rate threshold, the heavy metal element components are eliminated and optimized pollutant component data is obtained.
[0074] According to an embodiment of the present invention, in step S15, "correcting the weight coefficient according to the proportion information of each component to generate the proportion information of each component" specifically includes:
[0075] S151, obtaining the proportion information of each component, and extracting the heavy metal content according to the pollutant components;
[0076] S152, generating a heavy metal toxicity diffusion rate according to the heavy metal element transfer information in the organism;
[0077] S153, arranging the heavy metal content components in the pollutants according to the heavy metal toxicity diffusion rate to obtain arrangement information;
[0078] S154, generating corresponding weight coefficients according to the arrangement information, and correcting the proportion information of each component according to the weight coefficients.
[0079] It should be noted that heavy metals will have a certain impact on the toxicity of organisms. By analyzing the transfer and diffusion rate of heavy metals in organisms, the changes in heavy metal content in organisms are judged and sorted. The proportion of each component is adjusted according to the arrangement order to ensure that the proportion of heavy metal elements with greater toxicity is greater than the proportion of heavy metal elements with less toxicity. This can better show the toxic effects of organisms and improve the accuracy of analysis.
[0080] According to an embodiment of the present invention, generating a corresponding weight coefficient according to the arrangement information, and correcting the proportion information of each component according to the weight coefficient specifically includes:
[0081] Obtain the proportion information of each component of the pollutant and generate the heavy metal content of each component in the pollutant;
[0082] The heavy metal content in each group of pollutants is then ranked from high to low to generate a heavy metal content list, thereby obtaining multiple heavy metal content lists corresponding to different components;
[0083] The effects of pollutant components on changes in toxicity to organisms are analyzed based on multiple heavy metal content lists to obtain organism toxicity effect data.
[0084] It should be noted that different pollutant components contain different heavy metals, and generating a heavy metal content list can analyze the interaction between different heavy metals in multiple pollutant components, thereby accurately obtaining the toxic effect data on organisms.
[0085] According to an embodiment of the present invention, in step S5, "obtaining pollutant concentration information and organism health status information in real time, and generating association information between the pollutant concentration information and the organism health status information" specifically includes:
[0086] Establish a correlation model between pollutant components and organism health indicators based on pollutant concentration information;
[0087] Combine pollutants of different categories and components in different proportions to obtain new pollutant component data;
[0088] The new pollutant component data is input into the association model for training until the association model converges to obtain an organism toxicity prediction model;
[0089] Output toxic effect data of pollutant categories and components based on the biological toxicity prediction model.
[0090] It should be noted that by continuously training the association model, the output results of the biological toxicity prediction model are made closer to the actual value, so that the influence of pollutant categories and components on the toxic effects of organisms can be accurately predicted.
[0091] According to an embodiment of the present invention, pollutants of different categories are combined with different proportions to obtain new pollutant component data, which specifically includes:
[0092] Combine pollutants of different categories and components in different proportions to generate a pollutant mixture group;
[0093] The toxicity data of individual heavy metal elements in each group of pollutants were analyzed according to the mixed groups of pollutants;
[0094] According to the toxicity data of individual heavy metal elements in each group of pollutants, the key pollutants in each group of pollutants are obtained;
[0095] Real-time analysis of changing characteristics of toxic effects on organisms based on the chemical characteristics of key pollutants.
[0096] According to an embodiment of the present invention, after analyzing the toxic effect change characteristics of organisms in real time according to the chemical characteristics of key pollutants, the method further includes:
[0097] Obtain the variation characteristics of toxic effects on organisms and generate variation trend data between toxic variation characteristics and pollutant components;
[0098] Calculate the correlation between toxicity change characteristics and pollutant components based on change trend data;
[0099] A correction factor is generated based on the correlation, and the biological toxicity effect data is adjusted using the correction factor.
[0100] In summary, by analyzing pollutant parameter information, performing pollutant element analysis and extraction, calculating the pollutant component categories and proportions, and then judging the impact of pollutant concentrations between different components on the health of organisms, the impact of different pollutant concentrations on the toxic effects of organisms can be analyzed, and the toxic components of organisms can be obtained, thereby realizing the rapid identification of organism toxicity under pollutant conditions.
[0101] The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.
[0102] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.
[0103] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.
[0104] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.
Claims
1. A method for rapid identification of toxic effects of organisms under new pollutant conditions, characterized in that: The steps include: S1, obtaining pollutant parameter information, decomposing pollutant components according to the pollutant parameter information, and obtaining component categories and proportion information of each component; S2, determining critical information of organism health of each component category based on pollutant parameter information; S3, calculating the pollutant concentration information according to the proportion information of each component of the pollutant, comparing the current pollutant concentration information with the critical information of the organism's health, and obtaining the deviation rate; S4, determining whether the deviation rate is greater than a preset deviation rate threshold; S5, if it is greater than, calculate the organism toxicity index and obtain the organism toxicity component; if it is less than, obtain the pollutant concentration information and the organism health status information in real time, and generate the correlation information between the pollutant concentration information and the organism health status information; In step S1, "obtaining pollutant parameter information, decomposing pollutant components according to the pollutant parameter information, and obtaining component categories and information on the proportion of each component" specifically includes: S11, obtaining pollutant parameter information, the pollutant parameter information including pollutant type and pollutant chemical formula; S12, performing chemical decomposition according to the chemical formula of the pollutant to obtain the pollutant element; S13, comparing the pollutant elements with the periodic table to form corresponding pollutant component categories; S14, calculating the weight information of the components of each category from the component data of each category, and dividing the weight information of the components of each category by the total component weight to obtain the proportion information of the components of each category; S15, performing weight coefficient correction according to the proportion information of each component to generate the proportion information of each component; In step S12, "chemically decompose the pollutant chemical formula to obtain the pollutant element", and then further include: S121, obtaining the element composition of pollutants, and extracting the components and contents of heavy metal elements in the pollutants; S122, obtaining the composition and content of heavy metal elements in organisms; S123, comparing the components and contents of heavy metal elements in the pollutants with the components and contents of heavy metal elements in the organisms to obtain the transfer information of heavy metal elements in the pollutants; generating the heavy metal toxicity diffusion rate according to the heavy metal element transfer information; S124, if the heavy metal toxicity diffusion rate is greater than a preset rate threshold, it is determined that the corresponding heavy metal element component has high toxicity; S125, if the heavy metal toxicity diffusion rate is less than a preset rate threshold, the heavy metal element components are eliminated and optimized pollutant component data is obtained; In step S15, "correcting the weight coefficient according to the proportion information of each component to generate the proportion information of each component" specifically includes: S151, obtaining the proportion information of each component, and extracting the heavy metal content according to the pollutant components; S152, generating a heavy metal toxicity diffusion rate according to the heavy metal element transfer information in the organism; S153, arranging the heavy metal content components in the pollutants according to the heavy metal toxicity diffusion rate to obtain arrangement information; S154, generating a corresponding weight coefficient according to the arrangement information, and correcting the proportion information of each component according to the weight coefficient; Generate corresponding weight coefficients according to the arrangement information, and modify the proportion information of each component according to the weight coefficients, including: Obtain information on the proportion of each component of the pollutant and generate the heavy metal content of each component in the pollutant; The heavy metal content in each group of pollutants is then ranked from high to low to generate a heavy metal content list, thereby obtaining multiple heavy metal content lists corresponding to different components; The effects of pollutant components on changes in toxicity to organisms are analyzed based on multiple heavy metal content lists to obtain organism toxicity effect data.
2. The method for rapid identification of toxic effects of organisms under new pollutant conditions according to claim 1, characterized in that: In step S5, "obtaining pollutant concentration information and organism health status information in real time, and generating association information between the pollutant concentration information and the organism health status information" specifically includes: Establish a correlation model between pollutant components and organism health indicators based on pollutant concentration information; Combine pollutants of different categories and components in different proportions to obtain new pollutant component data; The new pollutant component data is input into the correlation model for training until the correlation model converges to obtain an organism toxicity prediction model; Output toxic effect data of pollutant categories and components based on the biological toxicity prediction model.
3. The method for rapid identification of toxic effects of organisms under new pollutant conditions according to claim 2, characterized in that: The pollutants of different categories are combined with different proportions to obtain new pollutant component data, including: Combine pollutants of different categories and components in different proportions to generate a pollutant mixture group; The toxicity data of individual heavy metal elements in each group of pollutants were analyzed according to the mixed groups of pollutants; According to the toxicity data of individual heavy metal elements in each group of pollutants, the key pollutants in each group of pollutants are obtained; Real-time analysis of changing characteristics of toxic effects on organisms based on the chemical characteristics of key pollutants.
4. The method for rapid identification of toxic effects of organisms under new pollutant conditions according to claim 3, characterized in that: After real-time analysis of the changing characteristics of the toxic effects of organisms based on the chemical characteristics of key pollutants, it also includes: Obtain the variation characteristics of toxic effects on organisms and generate variation trend data between toxic variation characteristics and pollutant components; Calculate the correlation between toxicity change characteristics and pollutant components based on change trend data; A correction factor is generated based on the correlation, and the biological toxicity effect data is adjusted using the correction factor.
Citation Information
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