CN114495449A - Ocean water pollution monitoring and early warning management system based on remote sensing image analysis - Google Patents
Ocean water pollution monitoring and early warning management system based on remote sensing image analysis Download PDFInfo
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Abstract
The invention discloses a marine water pollution monitoring and early warning management system based on remote sensing image analysis of a distance. This marine water pollution monitoring early warning management system based on remote sensing image analysis of distance includes: the system comprises a region dividing module, a plant concentration detection module, a plant growth parameter detection module, an animal activity parameter detection module, a data processing and analyzing module, a database and a remote early warning terminal.
Description
Technical Field
The invention belongs to the technical field of water pollution monitoring, and relates to a marine water pollution monitoring and early warning management system based on remote sensing image analysis of a distance.
Background
With the continuous development of social economy, the quantity of garbage generated in the production and manufacturing process is continuously increased. Many of these wastes are discharged to the ocean in a direct or indirect manner, and cause certain pollution to the ocean. Polluted sea areas seriously jeopardize the biological safety of the sea and the physical health of human beings, and therefore detection of water pollution of the sea is required.
The present ocean water pollution monitoring system detects the quality of water that corresponds to the ocean mainly, do not monitor and analyze the plant that the ocean corresponds, therefore, present ocean water pollution monitoring system still has certain drawback, on the one hand, the content of present ocean water pollution monitoring system monitoring has the limitation, the reliability of unable effectual improvement ocean water pollution monitoring result, on the one hand, the unable effectual efficiency that improves ocean water pollution monitoring of present ocean water pollution monitoring system, on the other hand, the unable effectual referential of improving ocean water pollution monitoring result of present ocean water pollution monitoring system.
Disclosure of Invention
In view of the above, in order to solve the problems in the background art, a marine water pollution monitoring and early warning management system based on remote sensing image analysis is provided, so that the real-time monitoring and high-efficiency early warning of the marine water pollution are realized;
the purpose of the invention can be realized by the following technical scheme:
the invention provides a marine water pollution monitoring and early warning management system based on remote sensing image analysis of a distance, wherein a data processing and analyzing module is respectively connected with a plant density detection module, a plant growth parameter detection module, an animal activity parameter detection module, a database and a remote early warning terminal, and a region dividing module is connected with the plant density detection module;
the area division module is used for dividing detection areas of the monitoring ocean to further obtain each detection area divided by the monitoring ocean, numbering the divided detection areas according to a preset sequence, marking the divided detection areas as 1, 2,. i,. n in sequence, and further obtaining the position corresponding to each detection area;
the plant density detection module is used for detecting the density corresponding to the marine plants in each detection area, acquiring the marine plant types corresponding to each detection area, numbering the marine plants of each type corresponding to each detection area according to a preset sequence, and sequentially marking the marine plants of each type as 1, 2,. j,. m so as to acquire the density corresponding to the marine plants of each type in each detection area;
the plant growth parameter detection module is used for detecting growth parameters corresponding to various marine plants in each detection area, and further acquiring numerical values corresponding to the growth parameters of various marine plants in each detection area;
the animal activity parameter detection module is used for detecting activity parameters corresponding to marine animals in the region where the marine plants in each detection region are located, and further acquiring activity parameters corresponding to the marine animals in the region where the marine plants in each detection region are located;
the data processing and analyzing module is used for analyzing the corresponding concentration and growth parameters of various marine plants in each detection area and the corresponding activity parameters of marine animals in the area where the marine plants in each detection area are located;
the remote early warning terminal is used for matching and comparing the pollution level corresponding to the seawater of each detection area with a preset seawater early warning pollution level according to the pollution level corresponding to the seawater of each detection area, acquiring the position corresponding to a certain detection area if the pollution level corresponding to the seawater of the detection area reaches an early warning value, notifying relevant managers corresponding to the monitored ocean, and performing early warning.
Preferably, the ocean density detection comprises a plurality of remote sensing monitoring units, the cameras in the remote sensing monitoring units are further used for collecting images of corresponding marine plants in each detection area, the collected images are processed and analyzed, the density corresponding to various marine plants in each detection area is obtained, and a concentration set M of various marine plants in each detection area is constructedd(Md1,Md2,...Mdj,...Mdm)，Mdj represents the corresponding density of the jth ocean plant of the jth detection area of the ocean in the monitoring area, d represents the corresponding number of the monitoring ocean detection area, and d is 1, 2.
Preferably, the plant growth parameter detection comprises a plurality of plant growth parameter detection units, and then the plant growth parameter detection units are used for detecting various marine plants in various detection areas in the acquisition time periodDetecting corresponding growth parameters, wherein the growth parameters of various marine plants comprise the corresponding colors, plant lengths and leaf thicknesses of the marine plants, further acquiring the corresponding numerical values of the growth parameters of various marine plants in each detection area, and constructing a set H of the growth parameters of various marine plants in each detection areae d(He d1,He d2,...He dj,...He dm)，He dj represents the value corresponding to the e growth parameter of the j type marine plant in the d detection area of the monitored ocean, and e represents the growth parameters of the various types of marine plants, wherein e is a1, a2, a3, a1, a2 and a3 which respectively represent the color, the plant length and the leaf thickness corresponding to the marine plants.
Preferably, the animal activity parameter detection includes a plurality of cameras, and each camera is used for performing video acquisition on the area where the submarine plant is located in each detection area, so as to obtain a real-time video corresponding to the area where the submarine plant is located in each detection area, and analyzing the real-time video corresponding to the area where the submarine plant is located in each detection area, so as to obtain activity parameters corresponding to the marine animal in the area where the submarine plant is located in each detection area, wherein the activity parameters corresponding to the marine animal include the type number corresponding to the marine animal and the activity frequency corresponding to the marine animal, and a marine animal activity parameter set Y of the area where the submarine plant is located in each detection area is constructedw(Yw1,Yw2,...Ywi,...Ywn)，Ywi represents a numerical value corresponding to the w-th activity parameter of the marine animal in the area where the submarine plant in the ith detection area of the monitored ocean is located, w represents the activity parameter of the marine animal, w is s, f, s and f respectively represent the number of the types corresponding to the marine animal and the activity frequency corresponding to the marine animal.
Preferably, the data processing and analyzing module is configured to analyze the densities of the various types of marine plants in each detection area, obtain a set of the densities of the various types of marine plants in each detection area, further obtain the densities of the various types of marine plants in each detection area, further compare the densities of the various types of marine plants in each detection area with the standard densities of the various types of marine plants in each detection area, and further count the abnormal influence coefficients of the densities of the marine plants in each detection area.
Preferably, the data processing and analyzing module is configured to analyze growth parameters corresponding to various marine plants in each detection area, obtain a set of growth parameters of various marine plants in each detection area, further obtain colors, plant lengths, and leaf thicknesses corresponding to various marine plants in each detection area of the monitored ocean, compare the colors, plant lengths, and leaf thicknesses corresponding to various marine plants in each detection area with standard colors, standard plant lengths, and standard leaf thicknesses corresponding to various marine plants in each detection area, and further count comprehensive abnormal influence coefficients of the marine plant growth parameters in each detection area.
Preferably, the data processing and analyzing module is configured to perform comprehensive analysis on the growth parameters of the marine plants of various types in each detection area, and further count the comprehensive abnormal influence coefficients of the marine plants in each detection area according to the counted abnormal influence coefficients of the marine plant concentration in each detection area and the statistical abnormal influence coefficients of the marine plant growth parameters in each detection area.
Preferably, the data processing and analyzing module is configured to detect activity parameters corresponding to marine animals in the area where the marine plants are located in each detection area, obtain a set of activity parameters of the marine animals in the area where the marine plants are located in each detection area, further obtain the number of types of the marine animals in the area where the marine plants are located in each detection area and activity frequencies corresponding to the marine animals in the area where the marine plants are located in each detection area, compare the number of types and activity frequencies corresponding to the marine animals in the area where the marine plants are located in each detection area with the standard number of types and standard activity frequencies corresponding to the marine animals in the area where the marine plants are located in each detection area, and further calculate abnormal influence coefficients of the activity parameters of the marine animals in each detection area.
Preferably, the data processing and analyzing module is used for comprehensively analyzing each activity parameter of the marine animals in the area where the submarine plants in each detection area are located, and further counting the comprehensive abnormal influence coefficient of the activity parameter of the marine animals in each detection area according to the counted abnormal influence coefficient of each activity parameter of the marine animals in each detection area.
Preferably, the data processing and analyzing module is further configured to perform comprehensive analysis on parameters corresponding to the marine plants and parameters corresponding to the marine animals in each detection area, count the comprehensive influence coefficients of the marine abnormalities in each detection area according to the counted comprehensive influence coefficients of the marine plants and the comprehensive influence coefficients of the marine animals in each detection area, compare the counted comprehensive influence coefficients of the marine abnormalities in each detection area with the comprehensive influence coefficients of the marine abnormalities corresponding to the pollution levels of the marine water in each detection area, and obtain the pollution levels corresponding to the marine water in each detection area.
The invention has the beneficial effects that:
(1) according to the marine water pollution monitoring and early warning management system based on remote sensing image analysis, the plant concentration detection module, the plant growth parameter detection module and the animal activity parameter detection module are combined with the data processing and analyzing module, so that the concentration, the growth parameters and the animal activity parameters corresponding to marine plants in each detection area of the monitored ocean are detected in detail and analyzed, the problem that the monitoring content of the existing marine water pollution monitoring system is limited, the reliability of a marine water pollution monitoring result cannot be effectively improved is effectively solved, the efficiency of monitoring the marine water pollution is effectively improved, and meanwhile, the reference of the marine water pollution monitoring result is greatly improved.
(2) According to the method, the corresponding concentration of the marine plants in each detection area is detected, so that the growth states of the plants in each detection area are reflected visually, the objectivity of the analysis of the monitored marine water pollution is improved greatly, and the rationality of the monitoring result of the marine water pollution is improved greatly.
(3) When the method is used for detecting the growth parameters corresponding to the marine plants in each detection area, the three-dimensional camera in the remote sensing detection unit is used for detecting, so that the detection efficiency corresponding to the growth parameters of the marine plants in each detection area is greatly improved, and the convenience for detecting the growth parameters of the marine plants in each detection area is also greatly improved.
(4) According to the invention, the activity parameters corresponding to the marine animals in the area where the marine plants are located in each detection area are detected, so that an effective dual guarantee is provided for the reliability of the monitoring result of the marine water pollution, and meanwhile, the authenticity and the accuracy of the marine water pollution monitoring result are greatly improved.
(5) According to the invention, the remote early warning terminal carries out early warning on the detection area reaching the early warning value of the pollution level, so that the corresponding pollution response efficiency of the monitored ocean is greatly improved, and meanwhile, the occurrence of more serious harm events to the monitored ocean caused by untimely discovery is effectively avoided.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram showing the connection of modules of the system of the present invention.
Detailed Description
While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Referring to fig. 1, a marine water pollution monitoring and early warning management system based on remote sensing image analysis of a distance comprises a region division module, a plant concentration detection module, a plant growth parameter detection module, an animal activity parameter detection module, a data processing and analysis module, a database and a remote early warning terminal;
the data processing and analyzing module is respectively connected with the plant density detection module, the plant growth parameter detection module, the animal activity parameter detection module, the database and the remote early warning terminal, and the region dividing module is connected with the plant density detection module;
the area division module is used for dividing detection areas of the monitoring ocean to further obtain each detection area divided by the monitoring ocean, numbering the divided detection areas according to a preset sequence, marking the divided detection areas as 1, 2,. i,. n in sequence, and further obtaining the position corresponding to each detection area;
the plant density detection module is used for detecting the density corresponding to the marine plants in each detection area, acquiring the marine plant types corresponding to each detection area, numbering the marine plants of each type corresponding to each detection area according to a preset sequence, and sequentially marking the marine plants of each type as 1, 2,. j,. m so as to acquire the density corresponding to the marine plants of each type in each detection area;
specifically, the ocean density detection comprises a plurality of remote sensing monitoring units, the cameras in the remote sensing monitoring units are used for collecting images of corresponding marine plants in each detection area, the collected images are processed and analyzed, the density corresponding to various marine plants in each detection area is obtained, and a concentration set M of various marine plants in each detection area is constructedd(Md1,Md2,...Mdj,...Mdm)，Mdj represents the corresponding density of the jth ocean plant of the jth detection area of the ocean in the monitoring area, d represents the corresponding number of the monitoring ocean detection area, and d is 1, 2.
The marine plant image processing pre-analysis process comprises the following steps: according to the collected marine plant images corresponding to each detection area, the noise reduction and filtering processing is carried out on the collected marine plant images of each detection area, extracting the processed images corresponding to the marine plants in each detection area, matching and comparing the images corresponding to the marine plants in each detection area with the images corresponding to various marine plants, further acquiring the species corresponding to the marine plants in each detection area, extracting the profiles corresponding to the marine plants in each detection area, and then acquiring the contour areas corresponding to various marine plants in each detection area, counting the comprehensive contour areas corresponding to various marine plants in each detection area, matching and comparing the comprehensive contour areas corresponding to various marine plants in each detection area with the contour areas corresponding to the marine plant shooting images in each detection area, and further counting the density corresponding to various marine plants in each detection area.
Wherein, the corresponding concentration calculation formula of various marine plants in each detection area is
Md rIndicating the corresponding concentration of the nth kind of marine plant in the d detection area of the monitored sea, Sd rRepresenting the comprehensive contour area corresponding to the r-th type marine plant in the d-th detection area of the monitored sea, Sd' indicates the corresponding outline area, sigma, of the marine plant photographed image of the d-th detection area of the monitored oceanrThe area ratio correction coefficient corresponding to the r-th type marine plant is shown.
According to the embodiment of the invention, the growth states corresponding to the plants in each detection area are intuitively reflected by detecting the corresponding density of the marine plants in each detection area, so that the objectivity of the analysis for monitoring the marine water pollution is greatly improved, and the rationality of the monitoring result of the marine water pollution is also greatly improved.
The data processing and analyzing module is used for analyzing the densities corresponding to various marine plants in each detection area, acquiring the density set of various marine plants in each detection area, further acquiring the densities corresponding to various marine plants in each detection area, further comparing the densities corresponding to various marine plants in each detection area with the standard densities corresponding to various marine plants in each detection area, and further counting the abnormal influence coefficient of the marine plant densities in each detection area.
Wherein the calculation formula of the ocean plant density abnormal influence coefficient of each detection area is
αdIndicate the monitorMeasuring the abnormal influence coefficient, M, corresponding to the marine plant concentration in the d-th detection aread rRepresenting the corresponding concentration of the nth species of marine plants in the d detection area of the monitored ocean, Md standard rThe standard density corresponding to the r-th type marine plant in the d-th detection area of the monitored ocean is represented, r represents the marine plant type number, and r is 1, 2.
The plant growth parameter detection module is used for detecting growth parameters corresponding to various marine plants in each detection area, and further acquiring numerical values corresponding to the growth parameters of various marine plants in each detection area;
specifically, the plant growth parameter detection comprises a plurality of plant growth parameter detection units, and then the plant growth parameter detection units are used for detecting growth parameters corresponding to various marine plants in each detection area in the acquisition time period, wherein the various marine plant growth parameters comprise colors, plant lengths and leaf thicknesses corresponding to the marine plants, so that numerical values corresponding to the various marine plant growth parameters in each detection area are obtained, and a set H of the various marine plant growth parameter in each detection area is constructede d(He d1,He d2,...He dj,...He dm)，He dj represents the value corresponding to the e growth parameter of the j type marine plant in the d detection area of the monitored ocean, and e represents the growth parameters of the various types of marine plants, wherein e is a1, a2, a3, a1, a2 and a3 which respectively represent the color, the plant length and the leaf thickness corresponding to the marine plants. The plant growth parameter detection unit is a waterproof three-dimensional camera, and then the three-dimensional camera is used for collecting images of areas where various marine plants are located in each detection area, so that three-dimensional images corresponding to various marine plants in each detection area are obtained, and then the color, the length and the leaf thickness corresponding to various marine plants in each detection area are obtained according to the corresponding outlines of various marine plants in each detection area;
the color corresponding to each kind of marine plant is the average plant color corresponding to each kind of marine plant, that is, the colors corresponding to each kind of marine plant are obtained and compared, the color with the largest number of each kind of marine plant is screened out, and the color is used as the detection color corresponding to each kind of marine plant.
The length and the leaf thickness corresponding to each type of marine plant are the average length and the average leaf thickness corresponding to each type of marine plant, the plant length corresponding to each type of marine plant is obtained according to the corresponding contour of each type of marine plant, the average length corresponding to each type of marine plant is further calculated, and the average leaf thickness corresponding to each type of marine plant is obtained in the same way.
The plant growth parameter detection is used for detecting growth parameters corresponding to the submarine higher plants, namely, a detected object has obvious differentiation characteristics of roots, stems and leaves.
When the growth parameters corresponding to the marine plants in each detection area are detected, the three-dimensional camera in the remote sensing detection unit is used for detecting, so that the detection efficiency corresponding to the growth parameters of the marine plants in each detection area is greatly improved, and the convenience for detecting the growth parameters of the marine plants in each detection area is also greatly improved.
The data processing and analyzing module is used for analyzing the growth parameters corresponding to various marine plants in each detection area, acquiring the growth parameter set of various marine plants in each detection area, further acquiring the color, the plant length and the leaf thickness corresponding to various marine plants in each detection area of the monitored ocean, comparing the color, the plant length and the leaf thickness corresponding to various marine plants in each detection area with the standard color, the standard plant length and the standard leaf thickness corresponding to various marine plants in each detection area, and further counting the comprehensive abnormal influence coefficient of the marine plant growth parameters in each detection area.
Wherein, the calculation formula of the comprehensive abnormal influence coefficient of the marine plant growth parameters in each detection area is
βdIndicating the monitoringComprehensive abnormal influence coefficient corresponding to marine plant growth parameter of the d-th detection area of the ocean, a1d r,a2d r,a3d rRespectively showing the color, plant length and leaf thickness corresponding to the r type marine plant in the d detection area of the monitored ocean, a1d standard r,a2d standard r,a3d standard rAnd the standard color, the standard plant length and the standard leaf thickness corresponding to the nth type marine plant in the ith detection area of the monitored sea are shown.
Wherein, when the marine plant color is abnormal, the calculation is carried out according to the RGB value corresponding to the marine plant color, namely
Rd r,Gd r,Bd rRespectively representing R value, G value, B value, R value corresponding to the R category marine plant in the d detection area of the monitored oceand standard r,Gd standard r,Bd standard rRespectively showing the standard R value, the standard G value and the B value corresponding to the nth type marine plant in the d detection area of the monitored ocean.
The data processing and analyzing module is used for carrying out comprehensive analysis on the growth parameters of various marine plants in each detection area, and further carrying out statistics on the comprehensive abnormal influence coefficients of the marine plants in each detection area according to the counted abnormal influence coefficients of the marine plant concentration in each detection area and the comprehensive abnormal influence coefficients of the marine plant growth parameters in each detection area.
Wherein, the calculation formula of the comprehensive abnormal influence coefficient of the marine plants in each detection area is
δdAnd representing the comprehensive abnormal influence coefficient corresponding to the marine plants in the d detection area of the monitored ocean.
The animal activity parameter detection module is used for detecting activity parameters corresponding to marine animals in the region where the marine plants in each detection region are located, and further acquiring activity parameters corresponding to the marine animals in the region where the marine plants in each detection region are located;
specifically, the animal activity parameter detection comprises a plurality of cameras, and each camera is used for carrying out video acquisition on the area where the submarine plant in each detection area is located, so as to obtain a real-time video corresponding to the area where the submarine plant in each detection area is located, and analyzing the real-time video corresponding to the area where the submarine plant in each detection area is located, so as to obtain activity parameters corresponding to the marine animal in the area where the submarine plant in each detection area is located, wherein the activity parameters corresponding to the marine animal comprise the type number corresponding to the marine animal and the activity frequency corresponding to the marine animal, and further a marine animal activity parameter set Y in the area where the submarine plant in each detection area is located is constructedw(Yw1,Yw2,...Ywi,...Ywn)，Ywi represents a numerical value corresponding to the w-th activity parameter of the marine animal in the area where the submarine plant in the ith detection area of the monitored ocean is located, w represents the activity parameter of the marine animal, w is s, f, s and f respectively represent the number of the types corresponding to the marine animal and the activity frequency corresponding to the marine animal.
Wherein, the real-time video analysis process of the area where the submarine plants are located in each detection area is as follows: acquiring real-time videos corresponding to the areas where the submarine plants are located in each detection area, acquiring acquisition time duration corresponding to the real-time videos, cutting the real-time videos corresponding to the areas where the submarine plants are located in each detection area into picture sequences, further extracting pictures corresponding to marine animals, counting the number of the pictures corresponding to the marine animals in the areas where the submarine plants are located in each detection area, recording the number of the pictures corresponding to the marine animals in the areas where the submarine plants are located in each detection area in the acquisition time duration as the number of occurrences corresponding to the marine animals in the areas where the submarine plants are located in each detection area, further acquiring the activity frequency corresponding to the marine animals in the areas where the submarine plants are located in each detection area in the acquisition time duration, and simultaneously comparing the pictures corresponding to the marine animals in the areas where the submarine plants are located in each detection area with the pictures corresponding to various marine animals, and then the marine animals in the area where the submarine plants in each detection area are located appear corresponding types, and then the corresponding type quantity of the marine animals in the area where the submarine plants in each detection area are located is obtained.
Wherein, the corresponding activity frequency calculation formula of the marine animals is
f represents the corresponding activity frequency of the marine animals, T represents the acquisition time length corresponding to the real-time video of the area where the submarine plants of each detection area are located, and k represents the corresponding occurrence frequency of the marine animals of the area where the submarine plants of each detection area are located in the acquisition time length.
According to the embodiment of the invention, the activity parameters corresponding to the marine animals in the area where the marine plants are located in each detection area are detected, so that an effective double guarantee is provided for the reliability of the monitoring result of the monitoring of the marine water pollution, and meanwhile, the authenticity and the accuracy of the monitoring result of the marine water pollution are greatly improved.
The data processing and analyzing module is used for detecting activity parameters corresponding to marine animals in the area where the marine plants are located in each detection area, acquiring an activity parameter set of the marine animals in the area where the marine plants are located in each detection area, further acquiring the number of types corresponding to the marine animals in the area where the marine plants are located in each detection area and the activity frequency corresponding to the marine animals, comparing the number of types corresponding to the marine animals in the area where the marine plants are located in each detection area and the activity frequency with the standard type number and the standard activity frequency corresponding to the marine animals in the area where the marine plants are located in each detection area, and further counting the abnormal influence coefficient of each activity parameter of the marine animals in each detection area.
Wherein the calculation formula of the abnormal influence coefficient of each activity parameter of the marine animals in each detection area is
φw dRepresenting the abnormal influence coefficient, s, corresponding to the w-th activity parameter of the marine animal in the d-th detection area of the monitored sead,fdRespectively representing the number of the types, the activity frequency, s, corresponding to the marine animals in the d-th detection area of the monitored oceand standard,fd standard ofAnd the standard type quantity and the standard activity frequency corresponding to the marine animals in the d-th detection area of the monitored ocean are shown.
The data processing and analyzing module is used for comprehensively analyzing the activity parameters of the marine animals in the area where the submarine plants in each detection area are located, and further counting the comprehensive abnormal activity parameter influence coefficients of the marine animals in each detection area according to the counted abnormal activity parameter influence coefficients of the marine animals in each detection area.
Wherein, the calculation formula of the comprehensive abnormal influence coefficient of the activity parameters of the marine animals in each detection area is
And representing the comprehensive abnormal influence coefficient corresponding to the activity parameters of the marine animals in the d-th detection area of the monitored sea.
The data processing and analyzing module is further used for carrying out comprehensive analysis on parameters corresponding to marine plants and parameters corresponding to marine animals in each detection area, carrying out statistics on the comprehensive influence coefficients of the marine plants in each detection area and the comprehensive influence coefficients of the marine animals in each detection area according to the statistical comprehensive abnormal influence coefficients of the marine plants in each detection area and the statistical comprehensive abnormal influence coefficients of the marine animals in each detection area, comparing the statistical comprehensive influence coefficients of the marine abnormalities in each detection area with the statistical comprehensive influence coefficients of the marine abnormalities corresponding to the pollution levels of the marine water in each detection area, and obtaining the pollution levels corresponding to the marine water in each detection area.
Wherein, the calculation formula of the ocean anomaly comprehensive influence coefficient of each detection area is
λdAnd showing the ocean anomaly comprehensive influence coefficient corresponding to the d detection area of the monitored ocean.
According to the embodiment of the invention, the problems that the monitoring content of the existing marine water pollution monitoring system is limited and the reliability of the marine water pollution monitoring result cannot be effectively improved are effectively solved by carrying out detailed detection and detailed analysis on the concentration, the growth parameter and the animal activity parameter corresponding to marine plants in each detection area of the monitored sea, the efficiency of monitoring the marine water pollution is effectively improved, and the reference of the marine water pollution monitoring result is also greatly improved.
The database is used for storing images corresponding to various marine plants, standard densities corresponding to various marine plants in each detection area, standard colors corresponding to various marine plants in each detection area, standard plant lengths and standard blade thicknesses, standard variety numbers and standard activity frequencies corresponding to marine animals in the area where the submarine plants in each detection area are located, and marine anomaly comprehensive influence coefficients corresponding to various marine water pollution levels.
The remote early warning terminal is used for matching and comparing the pollution level corresponding to the seawater of each detection area with a preset seawater early warning pollution level according to the pollution level corresponding to the seawater of each detection area, acquiring the position corresponding to a certain detection area if the pollution level corresponding to the seawater of the detection area reaches an early warning value, notifying relevant managers corresponding to the monitored ocean, and performing early warning.
According to the embodiment of the invention, the remote early warning terminal carries out early warning on the detection area reaching the early warning value of the pollution level, so that the pollution response efficiency corresponding to the monitored ocean is greatly improved, and meanwhile, the occurrence of more serious harm events to the monitored ocean due to untimely discovery is effectively avoided.
The foregoing is illustrative and explanatory only of the present invention, and it is intended that the present invention cover modifications, additions, or substitutions by those skilled in the art, without departing from the spirit of the invention or exceeding the scope of the claims.
Claims (10)
1. The utility model provides a marine water pollution monitoring early warning management system based on remote sensing image analysis of distance which characterized in that: the data processing and analyzing module is respectively connected with the plant density detection module, the plant growth parameter detection module, the animal activity parameter detection module, the database and the remote early warning terminal, and the region dividing module is connected with the plant density detection module;
the area division module is used for dividing detection areas of the monitoring ocean to further obtain each detection area divided by the monitoring ocean, numbering the divided detection areas according to a preset sequence, marking the divided detection areas as 1, 2,. i,. n in sequence, and further obtaining the position corresponding to each detection area;
the plant density detection module is used for detecting the density corresponding to the marine plants in each detection area, acquiring the marine plant types corresponding to each detection area, numbering the marine plants of each type corresponding to each detection area according to a preset sequence, and sequentially marking the marine plants of each type as 1, 2,. j,. m so as to acquire the density corresponding to the marine plants of each type in each detection area;
the plant growth parameter detection module is used for detecting growth parameters corresponding to various marine plants in each detection area, and further acquiring numerical values corresponding to the growth parameters of various marine plants in each detection area;
the animal activity parameter detection module is used for detecting activity parameters corresponding to marine animals in the region where the marine plants in each detection region are located, and further acquiring activity parameters corresponding to the marine animals in the region where the marine plants in each detection region are located;
the data processing and analyzing module is used for analyzing the corresponding concentration and growth parameters of various marine plants in each detection area and the corresponding activity parameters of marine animals in the area where the marine plants in each detection area are located;
the remote early warning terminal is used for matching and comparing the pollution level corresponding to the seawater of each detection area with a preset seawater early warning pollution level according to the pollution level corresponding to the seawater of each detection area, acquiring the position corresponding to a certain detection area if the pollution level corresponding to the seawater of the detection area reaches an early warning value, notifying relevant managers corresponding to the monitored ocean, and performing early warning.
2. The marine water pollution monitoring and early warning management system based on remote sensing image analysis of the distance according to claim 1, characterized in that: the marine concentration detection comprisesA plurality of remote sensing monitoring units, and then the corresponding marine plants in each detection area are acquired by using the cameras in the remote sensing monitoring units, the acquired images are processed and analyzed, the corresponding intensity of various marine plants in each detection area is obtained, and a set M of the intensity of various marine plants in each detection area is constructedd(Md1,Md2,...Mdj,...Mdm)，Mdj represents the corresponding density of the jth ocean plant of the jth detection area of the ocean in the monitoring area, d represents the corresponding number of the monitoring ocean detection area, and d is 1, 2.
3. The marine water pollution monitoring and early warning management system based on remote sensing image analysis of the distance according to claim 1, characterized in that: the plant growth parameter detection comprises a plurality of plant growth parameter detection units, and then the plant growth parameter detection units are used for detecting growth parameters corresponding to various marine plants in each detection area in the acquisition time period, wherein the growth parameters of various marine plants comprise colors, plant lengths and leaf thicknesses corresponding to the marine plants, so that numerical values corresponding to the growth parameters of various marine plants in each detection area are obtained, and a set H of growth parameter sets of various marine plants in each detection area is constructede d(He d1,He d2,...He dj,...He dm)，He dj represents the value corresponding to the e growth parameter of the j type marine plant in the d detection area of the monitored ocean, and e represents the growth parameters of the various types of marine plants, wherein e is a1, a2, a3, a1, a2 and a3 which respectively represent the color, the plant length and the leaf thickness corresponding to the marine plants.
4. The marine water pollution monitoring and early warning management system based on remote sensing image analysis of the distance according to claim 1, characterized in that: the animal activity parameter detection comprises a plurality of cameras, and each camera is used for carrying out video acquisition on the area where the submarine plant is located in each detection area, so as to obtain the submarine plant location in each detection areaReal-time videos corresponding to the regions are analyzed, and activity parameters corresponding to marine animals in the regions where the submarine plants in the detection regions are located are obtained, wherein the activity parameters corresponding to the marine animals comprise the type number corresponding to the marine animals and the activity frequency corresponding to the marine animals, and a marine animal activity parameter set Y of the region where the submarine plants in the detection regions are located is constructedw(Yw1,Yw2,...Ywi,...Ywn)，Ywi represents a numerical value corresponding to the w-th activity parameter of the marine animal in the area where the submarine plant in the ith detection area of the monitored ocean is located, w represents the activity parameter of the marine animal, w is s, f, s and f respectively represent the number of the types corresponding to the marine animal and the activity frequency corresponding to the marine animal.
5. The marine water pollution monitoring and early warning management system based on remote sensing image analysis of the distance according to claim 1, characterized in that: the data processing and analyzing module is used for analyzing the densities corresponding to various marine plants in each detection area, acquiring the density set of various marine plants in each detection area, further acquiring the densities corresponding to various marine plants in each detection area, further comparing the densities corresponding to various marine plants in each detection area with the standard densities corresponding to various marine plants in each detection area, and further counting the abnormal influence coefficient of the marine plant densities in each detection area.
6. The marine water pollution monitoring and early warning management system based on remote sensing image analysis of the distance according to claim 1, characterized in that: the data processing and analyzing module is used for analyzing the growth parameters corresponding to various marine plants in each detection area, acquiring the growth parameter set of various marine plants in each detection area, further acquiring the color, the plant length and the leaf thickness corresponding to various marine plants in each detection area of the monitored ocean, comparing the color, the plant length and the leaf thickness corresponding to various marine plants in each detection area with the standard color, the standard plant length and the standard leaf thickness corresponding to various marine plants in each detection area, and further counting the comprehensive abnormal influence coefficient of the marine plant growth parameters in each detection area.
7. The marine water pollution monitoring and early warning management system based on remote sensing image analysis of the distance according to claim 1, characterized in that: the data processing and analyzing module is used for carrying out comprehensive analysis on the growth parameters of various marine plants in each detection area, and further carrying out statistics on the comprehensive abnormal influence coefficients of the marine plants in each detection area according to the counted abnormal influence coefficients of the marine plant concentration in each detection area and the comprehensive abnormal influence coefficients of the marine plant growth parameters in each detection area.
8. The marine water pollution monitoring and early warning management system based on remote sensing image analysis of the distance according to claim 1, characterized in that: the data processing and analyzing module is used for detecting activity parameters corresponding to marine animals in the area where the marine plants are located in each detection area, acquiring an activity parameter set of the marine animals in the area where the marine plants are located in each detection area, further acquiring the number of types corresponding to the marine animals in the area where the marine plants are located in each detection area and the activity frequency corresponding to the marine animals, comparing the number of types corresponding to the marine animals in the area where the marine plants are located in each detection area and the activity frequency with the standard type number and the standard activity frequency corresponding to the marine animals in the area where the marine plants are located in each detection area, and further counting the abnormal influence coefficient of each activity parameter of the marine animals in each detection area.
9. The marine water pollution monitoring and early warning management system based on remote sensing image analysis of the distance according to claim 1, characterized in that: the data processing and analyzing module is used for comprehensively analyzing the activity parameters of the marine animals in the area where the submarine plants in each detection area are located, and further counting the comprehensive abnormal activity parameter influence coefficients of the marine animals in each detection area according to the counted abnormal activity parameter influence coefficients of the marine animals in each detection area.
10. The marine water pollution monitoring and early warning management system based on remote sensing image analysis of the distance according to claim 1, characterized in that: the data processing and analyzing module is further used for carrying out comprehensive analysis on parameters corresponding to marine plants and parameters corresponding to marine animals in each detection area, carrying out statistics on the comprehensive influence coefficients of the marine plants in each detection area and the comprehensive influence coefficients of the marine animals in each detection area according to the statistical comprehensive abnormal influence coefficients of the marine plants in each detection area and the statistical comprehensive abnormal influence coefficients of the marine animals in each detection area, comparing the statistical comprehensive influence coefficients of the marine abnormalities in each detection area with the statistical comprehensive influence coefficients of the marine abnormalities corresponding to the pollution levels of the marine water in each detection area, and obtaining the pollution levels corresponding to the marine water in each detection area.
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| CN115219682A (en) * | 2022-07-14 | 2022-10-21 | 武汉鸿榛园林绿化工程有限公司 | River water environment treatment monitoring and analyzing system based on artificial intelligence |
| CN117690087A (en) * | 2023-12-14 | 2024-03-12 | 社区魔方(湖南)数字科技有限公司 | Intelligent management method and system based on space merging |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115219682A (en) * | 2022-07-14 | 2022-10-21 | 武汉鸿榛园林绿化工程有限公司 | River water environment treatment monitoring and analyzing system based on artificial intelligence |
| CN115219682B (en) * | 2022-07-14 | 2024-02-20 | 武汉鸿榛园林绿化工程有限公司 | River course water environment treatment monitoring analysis system based on artificial intelligence |
| CN117690087A (en) * | 2023-12-14 | 2024-03-12 | 社区魔方(湖南)数字科技有限公司 | Intelligent management method and system based on space merging |
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