CN116485615A - Method for measuring and calculating threshold concentration of ecological toxicity effect of environmental pollutants - Google Patents
Method for measuring and calculating threshold concentration of ecological toxicity effect of environmental pollutants Download PDFInfo
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Abstract
The invention belongs to the field of ecological pollution monitoring, relates to a data analysis technology, and is used for solving the problem that the existing method for measuring and calculating the threshold concentration of the ecological toxicity effect of environmental pollutants cannot be combined with the plant growth state in a planting area to set and optimize the threshold concentration of the ecological toxicity effect, in particular to the method for measuring and calculating the threshold concentration of the ecological toxicity effect of the environmental pollutants, which comprises the following steps: step one: regional monitoring analysis is carried out on the pollutant concentration of the ecological monitoring area: dividing an ecological monitoring area into a plurality of monitoring areas, generating a monitoring period, acquiring atmospheric data DQ, water data ST and soil data TR of the monitoring areas in the monitoring period, and performing numerical calculation to obtain a pollution coefficient WR of the monitoring areas in the monitoring period; the method carries out regional monitoring analysis on the pollutant concentration in the ecological monitoring area, improves the accuracy of the pollutant concentration monitoring result in a regional division mode, and provides data support for threshold concentration measurement and calculation.
Description
Technical Field
The invention belongs to the field of ecological pollution monitoring, relates to a data analysis technology, and in particular relates to a method for measuring and calculating the threshold concentration of an ecological toxicity effect of environmental pollutants.
Background
Environmental pollutants refer to substances which change the normal composition and properties of the environment after entering the environment, are directly or indirectly harmful to human survival or cause natural ecological environment decay, and are the subjects of environmental monitoring research. Most environmental pollutants are produced by human production and living activities. Some substances are originally useful substances in production, even nutrient elements necessary for people and organisms, are discharged in a large amount due to underutilization, and not only waste resources but also environmental pollutants can be caused.
The existing method for measuring and calculating the threshold concentration of the ecological toxicity effect of the environmental pollutants can only measure the content of the pollutants, but cannot set and optimize the threshold concentration of the ecological toxicity by combining the growth state of plants in a planting area, so that the actual state of the ecological pollution cannot be effectively monitored.
Aiming at the technical problems, the application provides a solution.
Disclosure of Invention
The invention aims to provide a method for measuring and calculating the threshold concentration of an environmental pollutant ecotoxicity effect, which is used for solving the problem that the existing method for measuring and calculating the threshold concentration of the environmental pollutant ecotoxicity effect cannot be combined with the plant growth state in a planting area to set and optimize the threshold concentration of the ecotoxicity;
the technical problems to be solved by the invention are as follows: how to provide a method for measuring and calculating the threshold concentration of the ecological toxicity effect of environmental pollutants, which can set and optimize the threshold concentration of the ecological toxicity according to the growth state of plants in a planting area.
The aim of the invention can be achieved by the following technical scheme:
the method for measuring and calculating the threshold concentration of the ecological toxicity effect of the environmental pollutants comprises the following steps:
step one: regional monitoring analysis is carried out on the pollutant concentration of the ecological monitoring area: dividing an ecological monitoring area into a plurality of monitoring areas, generating a monitoring period, acquiring atmospheric data DQ, water data ST and soil data TR of the monitoring areas in the monitoring period, performing numerical calculation to obtain pollution coefficients WR of the monitoring areas in the monitoring period, and transmitting the pollution coefficients WR of the monitoring areas to a comprehensive analysis module through a concentration measuring and calculating platform;
step two: monitoring and analyzing the plant growth state in the ecological monitoring area: shooting a plant in a monitoring area to obtain a monitoring image, performing image processing on the monitoring image to obtain a gray average value and a gray wave value of the monitoring area, and marking the monitoring area as a normal area or an abnormal area through the numerical values of the gray average value and the gray wave value;
step three: measuring, calculating and analyzing the threshold concentration of the ecological toxicity effect in the ecological monitoring area: the method comprises the steps of marking the ratio of the number of abnormal areas in a monitoring period to the number of the monitoring areas as an abnormal coefficient of the monitoring period, marking the monitoring period as an abnormal period or a normal period according to the numerical value of the abnormal coefficient, acquiring a pollution threshold value according to the pollution value of the abnormal period, sending the pollution threshold value to a concentration measuring platform, and sending the pollution threshold value to a storage module and a mobile phone terminal of a manager after the concentration measuring platform receives the pollution threshold value.
In a preferred embodiment of the present invention, in the first step, the process of acquiring the atmospheric data DQ includes: setting a plurality of atmosphere monitoring points in a monitoring area, monitoring the atmosphere pollution concentration values of the atmosphere monitoring points in real time in a monitoring period, and marking the maximum value of the atmosphere pollution concentration values of all the atmosphere monitoring points in the monitoring period as atmosphere data DQ; the acquisition process of the water body data ST comprises the following steps: setting a plurality of water body monitoring points in a monitoring area, monitoring the water body pollution concentration values of the water body monitoring points in real time in a monitoring period, and marking the maximum value of the water body pollution concentration values of all the water body monitoring points in the monitoring period as water body data ST; the process for acquiring the soil data TR includes: and setting a plurality of soil monitoring points in a monitoring area, monitoring the soil pollution concentration values of the soil monitoring points in real time in a monitoring period, and marking the maximum value of the soil pollution concentration values of all the soil monitoring points in the monitoring period as soil data TR.
In the second step, the specific process of obtaining the gray average value and the gray wave value by performing image processing on the monitored image includes: dividing a monitoring image into a plurality of sub-areas, amplifying the monitoring image into pixel grid images, carrying out gray level transformation, obtaining varieties and planting growth time of plants in a planting area, calling corresponding gray level ranges in a storage module through the varieties and the planting growth time of the plants, marking the average value of the maximum value and the minimum value of the gray level ranges as gray table values, summing the gray level values of the pixel grids in the sub-areas, averaging to obtain gray display values of the sub-areas, marking the absolute value of the difference values of the gray display values and the gray table values as the gray difference values of the sub-areas, summing the gray difference values of all the sub-areas, averaging to obtain the gray average value of the monitoring area, establishing a gray difference set by the gray difference values of all the sub-areas, and carrying out variance calculation on the gray difference set to obtain gray wave values.
As a preferred embodiment of the present invention, in the second step, the specific process of marking the monitoring area as a normal area or an abnormal area includes: the gray average threshold value and the gray wave threshold value are obtained through the storage module, and the gray average value and the gray wave value of the monitoring image are compared with the gray average threshold value and the gray wave threshold value respectively: if the gray average value is smaller than the gray average threshold value and the gray wave value is smaller than the Yu Huibo threshold value, judging that the plant growth state in the monitoring area meets the requirement, and marking the corresponding monitoring area as a normal area; otherwise, judging that the plant growth state in the monitoring area does not meet the requirement, marking the corresponding monitoring area as an abnormal area, sending the abnormal area to a concentration measuring and calculating platform, and sending the abnormal area to a comprehensive analysis platform after the concentration measuring and calculating platform receives the abnormal area.
As a preferred embodiment of the present invention, in the third step, the specific process of marking the monitoring period as an abnormal period or a normal period includes: the abnormal threshold value is obtained through the storage module, and the abnormal coefficient of the monitoring period is compared with the abnormal threshold value: if the anomaly coefficient is smaller than the anomaly threshold value, marking the monitoring period as a normal period; and if the anomaly coefficient is greater than or equal to the anomaly threshold value, marking the monitoring period as an anomaly period.
As a preferred embodiment of the present invention, in the third step, the specific process of obtaining the contamination threshold value by the contamination value of the abnormal period includes: the minimum value of the contamination coefficients WR of all the monitoring areas in the abnormal period is marked as the contamination value of the abnormal period, and the minimum value of the contamination values of all the abnormal periods in the latest L1 monitoring periods is marked as the contamination threshold.
As a preferred implementation mode of the invention, the system is applied to an environment pollutant ecological toxicity effect threshold concentration measuring and calculating system and comprises a concentration measuring and calculating platform, wherein the concentration measuring and calculating platform is in communication connection with a region monitoring module, a growth analysis module, a comprehensive analysis module and a storage module;
the regional monitoring module is used for carrying out regional monitoring analysis on the pollutant concentration of the ecological monitoring region, obtaining the pollution coefficient WR of the monitoring region, and sending the pollution coefficient WR of the monitoring region to the comprehensive analysis module through the concentration measuring and calculating platform;
the growth analysis module is used for monitoring and analyzing the plant growth state of the ecological monitoring area, marking the monitoring area as a normal area or an abnormal area, and sending the abnormal area to the comprehensive analysis platform through the concentration measuring and calculating platform;
the comprehensive analysis platform is used for carrying out calculation analysis on the threshold concentration of the ecological toxicity effect in the ecological monitoring area, obtaining a pollution threshold, and sending the pollution threshold to the storage module and the mobile phone terminal of the manager through the concentration calculation platform.
The invention has the following beneficial effects:
1. the regional monitoring analysis can be carried out on the pollutant concentration of the ecological monitoring area through the regional monitoring module, the accuracy of the pollutant concentration monitoring result is improved through a regional division mode, and meanwhile, the comprehensive analysis and calculation are carried out by combining a plurality of ecological pollution parameters to obtain the pollution coefficient of the monitoring area, so that the ecological pollution state in the monitoring area is fed back through the pollution coefficient, and the data support is provided for the calculation of the threshold concentration;
2. the plant growth state in the ecological monitoring area can be monitored and analyzed through the growth analysis module, the gray average value and the gray wave value of the monitoring area are obtained through the mode of image processing of the monitoring image, so that the plant growth state and the growth difference in the monitoring area are fed back through the gray average value and the gray wave value, and the standard gray range is obtained by combining the variety and the growth duration of the plant, so that the accuracy of the plant growth monitoring result is improved;
3. the comprehensive analysis module can be used for calculating and analyzing the threshold concentration of the ecological toxicity effect in the ecological monitoring area, and the pollution coefficient of the monitoring area in the abnormal period is analyzed to obtain the pollution value of the abnormal period, so that the pollution threshold is obtained according to the pollution value of the recent abnormal period, the threshold concentration is continuously optimized and updated in combination with the growth state of plants, and the setting rationality of the threshold concentration of the toxic effect is improved.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a flowchart of a method according to a second embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1, the system for measuring and calculating the threshold concentration of the ecological toxicity effect of the environmental pollutants comprises a concentration measuring and calculating platform, wherein the concentration measuring and calculating platform is in communication connection with a region monitoring module, a growth analysis module, a comprehensive analysis module and a storage module.
The regional monitoring module is used for carrying out regional monitoring analysis on the pollutant concentration of the ecological monitoring area: dividing an ecological monitoring area into a plurality of monitoring areas, generating a monitoring period, and acquiring atmospheric data DQ, water body data ST and soil data TR of the monitoring areas in the monitoring period, wherein the acquiring process of the atmospheric data DQ comprises the following steps: setting a plurality of atmosphere monitoring points in a monitoring area, monitoring the atmosphere pollution concentration values of the atmosphere monitoring points in real time in a monitoring period, and marking the maximum value of the atmosphere pollution concentration values of all the atmosphere monitoring points in the monitoring period as atmosphere data DQ; the acquisition process of the water body data ST comprises the following steps: setting a plurality of water body monitoring points in a monitoring area, monitoring the water body pollution concentration values of the water body monitoring points in real time in a monitoring period, and marking the maximum value of the water body pollution concentration values of all the water body monitoring points in the monitoring period as water body data ST; the process for acquiring the soil data TR includes: setting a plurality of soil monitoring points in a monitoring area, monitoring soil pollution concentration values of the soil monitoring points in real time in a monitoring period, and marking the maximum value of the soil pollution concentration values of all the soil monitoring points in the monitoring period as soil data TR; obtaining a pollution coefficient WR of the monitoring area in the monitoring period through a formula WR=a1, DQ+a2, ST+a3, wherein the pollution coefficient is a numerical value reflecting the overall ecological pollution degree of the monitoring area in the monitoring period, and the larger the numerical value of the pollution coefficient is, the higher the overall ecological pollution degree of the monitoring area in the monitoring period is; wherein a1, a2 and a3 are all proportionality coefficients, and a3 > a2 > a1 > 1; the pollution coefficient WR of the monitoring area is sent to a concentration measuring and calculating platform, and the concentration measuring and calculating platform sends the received pollution coefficient WR of the monitoring area to a comprehensive analysis module; the method comprises the steps of carrying out regional monitoring analysis on the pollutant concentration of an ecological monitoring area, improving the accuracy of a pollutant concentration monitoring result in a regional division mode, and comprehensively analyzing and calculating a pollution coefficient of the monitoring area by combining a plurality of ecological pollution parameters, so that the ecological pollution state in the monitoring area is fed back through the pollution coefficient, and data support is provided for threshold concentration measurement and calculation.
The growth analysis module is used for monitoring and analyzing the plant growth state in the ecological monitoring area: the method comprises the steps of performing image shooting on plants in a monitoring area to obtain a monitoring image, dividing the monitoring image into a plurality of sub-areas, amplifying the monitoring image into pixel grid images, and performing gray level conversion, wherein the gray level conversion is a method for changing gray level values of each pixel in a source image point by point according to a certain target condition according to a certain conversion relation, so that the display effect of the image is clearer for improving the image quality, and the gray level conversion of the image is a very basic and direct spatial domain image processing method in an image enhancement processing technology and is also an important component of image digitizing software and image display software; obtaining varieties of plants planted in a planting area and planting growth time, calling corresponding gray scale ranges in a storage module through the varieties of the plants planted and the planting growth time, marking average values of maximum values and minimum values of the gray scale ranges as gray scale values, summing gray scale values of pixel grids in a sub-area to obtain gray scale values of the sub-area, marking absolute values of gray scale values and gray scale value differences as gray scale values of the sub-area, summing the gray scale values of all the sub-areas to obtain gray scale values of a monitoring area, establishing gray scale difference sets through the gray scale differences of all the sub-areas, performing variance calculation on the gray scale difference sets to obtain gray scale values, obtaining gray scale average threshold values and gray scale threshold values through the storage module, and comparing the gray scale average values and the gray scale values of the monitoring image with the gray scale average threshold values and the gray scale threshold values respectively: if the gray average value is smaller than the gray average threshold value and the gray wave value is smaller than the Yu Huibo threshold value, judging that the plant growth state in the monitoring area meets the requirement, and marking the corresponding monitoring area as a normal area; otherwise, judging that the plant growth state in the monitoring area does not meet the requirement, marking the corresponding monitoring area as an abnormal area, sending the abnormal area to a concentration measuring and calculating platform, and sending the abnormal area to a comprehensive analysis platform after the concentration measuring and calculating platform receives the abnormal area; the plant growth state in the ecological monitoring area is monitored and analyzed, the gray average value and the gray wave value of the monitoring area are obtained through the mode of image processing of the monitoring image, the plant growth state and the growth difference in the monitoring area are fed back through the gray average value and the gray wave value, and the standard gray range is obtained by combining the variety and the growth duration of the plant, so that the accuracy of the plant growth monitoring result is improved.
The comprehensive analysis platform is used for carrying out calculation analysis on the threshold concentration of the ecological toxicity effect in the ecological monitoring area: marking the ratio of the number of the abnormal areas in the monitoring period to the number of the monitoring areas as an abnormal coefficient of the monitoring period, acquiring an abnormal threshold value through a storage module, and comparing the abnormal coefficient of the monitoring period with the abnormal threshold value: if the anomaly coefficient is smaller than the anomaly threshold value, marking the monitoring period as a normal period; if the anomaly coefficient is greater than or equal to the anomaly threshold value, marking the monitoring period as an anomaly period; marking the minimum value of the pollution coefficient WR of all monitoring areas in the abnormal period as the pollution value of the abnormal period, marking the minimum value of the pollution value of all abnormal periods in the latest L1 monitoring periods as a pollution threshold, wherein L1 is a numerical constant, and the specific numerical value of L1 is set by a manager; the pollution threshold is sent to a concentration measuring platform, and the concentration measuring platform receives the pollution threshold and then sends the pollution threshold to a storage module and a mobile phone terminal of a manager; the method comprises the steps of measuring, calculating and analyzing the threshold concentration of the ecological toxicity effect in an ecological monitoring area, and analyzing the pollution coefficient of the monitoring area in an abnormal period to obtain a pollution value of the abnormal period, so that the pollution threshold is obtained according to the pollution value of the recent abnormal period, the threshold concentration is continuously optimized and updated in combination with the growth state of plants, and the setting reasonability of the threshold concentration of the toxic effect is improved.
Example two
As shown in fig. 1, the method for measuring and calculating the threshold concentration of the ecological toxicity effect of the environmental pollutants comprises the following steps:
step one: regional monitoring analysis is carried out on the pollutant concentration of the ecological monitoring area: dividing an ecological monitoring area into a plurality of monitoring areas, generating a monitoring period, acquiring atmospheric data DQ, water data ST and soil data TR of the monitoring areas in the monitoring period, performing numerical calculation to obtain pollution coefficients WR of the monitoring areas in the monitoring period, and transmitting the pollution coefficients WR of the monitoring areas to a comprehensive analysis module through a concentration measuring and calculating platform;
step two: monitoring and analyzing the plant growth state in the ecological monitoring area: shooting a plant in a monitoring area to obtain a monitoring image, performing image processing on the monitoring image to obtain a gray average value and a gray wave value of the monitoring area, and marking the monitoring area as a normal area or an abnormal area through the numerical values of the gray average value and the gray wave value;
step three: measuring, calculating and analyzing the threshold concentration of the ecological toxicity effect in the ecological monitoring area: the ratio of the number of the abnormal areas in the monitoring period to the number of the monitoring areas is marked as an abnormal coefficient of the monitoring period, the monitoring period is marked as an abnormal period or a normal period according to the value of the abnormal coefficient, and a pollution threshold is obtained according to the pollution value of the abnormal period.
The method for measuring and calculating the threshold concentration of the ecological toxicity effect of the environmental pollutants comprises the steps of carrying out regional monitoring analysis on the concentration of the pollutants in an ecological monitoring area during working: dividing an ecological monitoring area into a plurality of monitoring areas, generating a monitoring period, acquiring atmospheric data DQ, water data ST and soil data TR of the monitoring areas in the monitoring period, performing numerical calculation to obtain pollution coefficients WR of the monitoring areas in the monitoring period, and transmitting the pollution coefficients WR of the monitoring areas to a comprehensive analysis module through a concentration measuring and calculating platform; shooting a plant in a monitoring area to obtain a monitoring image, performing image processing on the monitoring image to obtain a gray average value and a gray wave value of the monitoring area, and marking the monitoring area as a normal area or an abnormal area through the numerical values of the gray average value and the gray wave value; the ratio of the number of the abnormal areas in the monitoring period to the number of the monitoring areas is marked as an abnormal coefficient of the monitoring period, the monitoring period is marked as an abnormal period or a normal period according to the value of the abnormal coefficient, and a pollution threshold is obtained according to the pollution value of the abnormal period.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula wr=a1 dq+a2 st+a3 TR; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding pollution coefficient for each group of sample data; substituting the set pollution coefficient and the collected sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 which are respectively 4.48, 3.25 and 2.17;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the pollution coefficient which is preliminarily set by a person skilled in the art for each group of sample data; as long as the proportional relationship of the parameter and the quantized value is not affected, for example, the pollution coefficient is directly proportional to the value of the atmospheric data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (7)
1. The method for measuring and calculating the threshold concentration of the ecological toxicity effect of the environmental pollutants is characterized by comprising the following steps:
step one: regional monitoring analysis is carried out on the pollutant concentration of the ecological monitoring area: dividing an ecological monitoring area into a plurality of monitoring areas, generating a monitoring period, acquiring atmospheric data DQ, water data ST and soil data TR of the monitoring areas in the monitoring period, performing numerical calculation to obtain pollution coefficients WR of the monitoring areas in the monitoring period, and transmitting the pollution coefficients WR of the monitoring areas to a comprehensive analysis module through a concentration measuring and calculating platform;
step two: monitoring and analyzing the plant growth state in the ecological monitoring area: shooting a plant in a monitoring area to obtain a monitoring image, performing image processing on the monitoring image to obtain a gray average value and a gray wave value of the monitoring area, and marking the monitoring area as a normal area or an abnormal area through the numerical values of the gray average value and the gray wave value;
step three: measuring, calculating and analyzing the threshold concentration of the ecological toxicity effect in the ecological monitoring area: the method comprises the steps of marking the ratio of the number of abnormal areas in a monitoring period to the number of the monitoring areas as an abnormal coefficient of the monitoring period, marking the monitoring period as an abnormal period or a normal period according to the numerical value of the abnormal coefficient, acquiring a pollution threshold value according to the pollution value of the abnormal period, sending the pollution threshold value to a concentration measuring platform, and sending the pollution threshold value to a storage module and a mobile phone terminal of a manager after the concentration measuring platform receives the pollution threshold value.
2. The method for measuring and calculating the threshold concentration of the ecotoxicity effect of environmental pollutants according to claim 1, wherein in the first step, the process of acquiring the atmospheric data DQ comprises: setting a plurality of atmosphere monitoring points in a monitoring area, monitoring the atmosphere pollution concentration values of the atmosphere monitoring points in real time in a monitoring period, and marking the maximum value of the atmosphere pollution concentration values of all the atmosphere monitoring points in the monitoring period as atmosphere data DQ; the acquisition process of the water body data ST comprises the following steps: setting a plurality of water body monitoring points in a monitoring area, monitoring the water body pollution concentration values of the water body monitoring points in real time in a monitoring period, and marking the maximum value of the water body pollution concentration values of all the water body monitoring points in the monitoring period as water body data ST; the process for acquiring the soil data TR includes: and setting a plurality of soil monitoring points in a monitoring area, monitoring the soil pollution concentration values of the soil monitoring points in real time in a monitoring period, and marking the maximum value of the soil pollution concentration values of all the soil monitoring points in the monitoring period as soil data TR.
3. The method for measuring and calculating the threshold concentration of the ecological toxicity effect of the environmental pollutants according to claim 2, wherein in the second step, the specific process of obtaining the gray average value and the gray wave value by performing image processing on the monitored image comprises the following steps: dividing a monitoring image into a plurality of sub-areas, amplifying the monitoring image into pixel grid images, carrying out gray level transformation, obtaining varieties and planting growth time of plants in a planting area, calling corresponding gray level ranges in a storage module through the varieties and the planting growth time of the plants, marking the average value of the maximum value and the minimum value of the gray level ranges as gray table values, summing the gray level values of the pixel grids in the sub-areas, averaging to obtain gray display values of the sub-areas, marking the absolute value of the difference values of the gray display values and the gray table values as the gray difference values of the sub-areas, summing the gray difference values of all the sub-areas, averaging to obtain the gray average value of the monitoring area, establishing a gray difference set by the gray difference values of all the sub-areas, and carrying out variance calculation on the gray difference set to obtain gray wave values.
4. The method for measuring and calculating the threshold concentration of the ecological toxicity effect of the environmental pollutants according to claim 3, wherein in the second step, the specific process of marking the monitoring area as a normal area or an abnormal area comprises the following steps: the gray average threshold value and the gray wave threshold value are obtained through the storage module, and the gray average value and the gray wave value of the monitoring image are compared with the gray average threshold value and the gray wave threshold value respectively: if the gray average value is smaller than the gray average threshold value and the gray wave value is smaller than the Yu Huibo threshold value, judging that the plant growth state in the monitoring area meets the requirement, and marking the corresponding monitoring area as a normal area; otherwise, judging that the plant growth state in the monitoring area does not meet the requirement, marking the corresponding monitoring area as an abnormal area, sending the abnormal area to a concentration measuring and calculating platform, and sending the abnormal area to a comprehensive analysis platform after the concentration measuring and calculating platform receives the abnormal area.
5. The method for measuring and calculating the threshold concentration of the ecological toxicity effect of the environmental pollutants according to claim 4, wherein in the third step, the specific process of marking the monitoring period as an abnormal period or a normal period comprises the following steps: the abnormal threshold value is obtained through the storage module, and the abnormal coefficient of the monitoring period is compared with the abnormal threshold value: if the anomaly coefficient is smaller than the anomaly threshold value, marking the monitoring period as a normal period; and if the anomaly coefficient is greater than or equal to the anomaly threshold value, marking the monitoring period as an anomaly period.
6. The method for measuring and calculating the threshold concentration of the ecological toxicity effect of environmental pollutants according to claim 5, wherein in the third step, the specific process of obtaining the pollution threshold by the pollution value of the abnormal period comprises the following steps: the minimum value of the contamination coefficients WR of all the monitoring areas in the abnormal period is marked as the contamination value of the abnormal period, and the minimum value of the contamination values of all the abnormal periods in the latest L1 monitoring periods is marked as the contamination threshold.
7. The method for measuring and calculating the threshold concentration of the ecological toxicity effect of the environmental pollutants according to any one of claims 1 to 6, which is applied to a system for measuring and calculating the threshold concentration of the ecological toxicity effect of the environmental pollutants and comprises a concentration measuring and calculating platform, wherein the concentration measuring and calculating platform is in communication connection with a region monitoring module, a growth analysis module, a comprehensive analysis module and a storage module;
the regional monitoring module is used for carrying out regional monitoring analysis on the pollutant concentration of the ecological monitoring region, obtaining the pollution coefficient WR of the monitoring region, and sending the pollution coefficient WR of the monitoring region to the comprehensive analysis module through the concentration measuring and calculating platform;
the growth analysis module is used for monitoring and analyzing the plant growth state of the ecological monitoring area, marking the monitoring area as a normal area or an abnormal area, and sending the abnormal area to the comprehensive analysis platform through the concentration measuring and calculating platform;
the comprehensive analysis platform is used for carrying out calculation analysis on the threshold concentration of the ecological toxicity effect in the ecological monitoring area, obtaining a pollution threshold, and sending the pollution threshold to the storage module and the mobile phone terminal of the manager through the concentration calculation platform.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116664332A (en) * | 2023-08-01 | 2023-08-29 | 安徽金海迪尔信息技术有限责任公司 | Agricultural production monitoring system based on digital twinning |
CN117074600A (en) * | 2023-08-25 | 2023-11-17 | 徐州天意药业股份有限公司 | System and method for analyzing quality of finished double coptis chinensis products based on data test |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
RU2017116218A (en) * | 2017-05-11 | 2018-11-14 | Федеральное государственное бюджетное образовательное учреждение высшего образования "Государственный университет по землеустройству" | METHOD FOR INTEGRATED ENVIRONMENTAL MONITORING |
CN109013677A (en) * | 2018-08-04 | 2018-12-18 | 石修英 | A kind of soil organic pollutants-contaminated environment: A research review monitoring system |
CN110348314A (en) * | 2019-06-14 | 2019-10-18 | 中国资源卫星应用中心 | A kind of method and system using multi- source Remote Sensing Data data monitoring vegetation growing way |
CN112946190A (en) * | 2021-01-28 | 2021-06-11 | 千居智人工智能科技昆山有限公司 | Ecological environment monitoring and early warning system and method based on cloud computing |
CN113567358A (en) * | 2021-07-28 | 2021-10-29 | 河南省科学院地理研究所 | Cultivated land pollution monitoring and early warning system based on remote sensing and Internet of things |
-
2023
- 2023-05-09 CN CN202310515267.3A patent/CN116485615A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
RU2017116218A (en) * | 2017-05-11 | 2018-11-14 | Федеральное государственное бюджетное образовательное учреждение высшего образования "Государственный университет по землеустройству" | METHOD FOR INTEGRATED ENVIRONMENTAL MONITORING |
CN109013677A (en) * | 2018-08-04 | 2018-12-18 | 石修英 | A kind of soil organic pollutants-contaminated environment: A research review monitoring system |
CN110348314A (en) * | 2019-06-14 | 2019-10-18 | 中国资源卫星应用中心 | A kind of method and system using multi- source Remote Sensing Data data monitoring vegetation growing way |
CN112946190A (en) * | 2021-01-28 | 2021-06-11 | 千居智人工智能科技昆山有限公司 | Ecological environment monitoring and early warning system and method based on cloud computing |
CN113567358A (en) * | 2021-07-28 | 2021-10-29 | 河南省科学院地理研究所 | Cultivated land pollution monitoring and early warning system based on remote sensing and Internet of things |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116664332A (en) * | 2023-08-01 | 2023-08-29 | 安徽金海迪尔信息技术有限责任公司 | Agricultural production monitoring system based on digital twinning |
CN116664332B (en) * | 2023-08-01 | 2023-10-13 | 安徽金海迪尔信息技术有限责任公司 | Agricultural production monitoring system based on digital twinning |
CN117074600A (en) * | 2023-08-25 | 2023-11-17 | 徐州天意药业股份有限公司 | System and method for analyzing quality of finished double coptis chinensis products based on data test |
CN117074600B (en) * | 2023-08-25 | 2024-03-29 | 徐州天意药业股份有限公司 | System and method for analyzing quality of finished double coptis chinensis products based on data test |
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