Water environment pollution analysis and management system based on big data

Abstract

The invention discloses a water environment pollution analysis and management system based on big data, and relates to the field of water environment pollution, the system comprises a management center, the management center is in communication connection with a hydrological data acquisition module, a hydrological data analysis module, a hydrological data processing module, a water environment pollution ripple module and a water environment management module; the hydrological data acquisition module analyzes the hydrological environment data and establishes a water environment observation model; the hydrological data analysis module analyzes the water environment observation model, the hydrological environment data and the hydrological space data; the hydrological data processing module obtains a water component saliency value and a load factor according to the water environment interpretation model, and analyzes the water component saliency value and the load factor; the water environment pollution ripple module analyzes the water environment interpretation model and the water accumulation factor; the water environment management module obtains a water environment management strategy according to the water quality source coefficient and the water quality metadata; the water environment pollution management efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of water environment pollution, and in particular to a water environment pollution analysis and management system based on big data. Background Art

[0002] The emergence of big data technology has provided new possibilities for water environment pollution analysis and management. By collecting and analyzing a large amount of data, we can better understand the pollution of the water environment and develop more effective management and protection strategies. In addition, big data technology can also help us predict and prevent the occurrence of water environment pollution incidents and improve the efficiency of water environment protection work. However, in the existing technology, water pollution is a serious problem. Traditional water environment management has limitations, limited coverage, poor timeliness, and it is difficult to conduct real-time and comprehensive analysis of complex and changeable water bodies. Management methods mainly rely on experience and regular data reports, and lack dynamic and scientific decision-making support. These limitations make it easy for pollution incidents to be discovered late, resulting in delayed governance. For this reason, a water environment pollution analysis and management system based on big data is now provided. Summary of the invention

[0003] In order to solve the above technical problems, the object of the present invention is to provide a water environment pollution analysis and management system based on big data, including a management center, wherein the management center is communicatively connected with a hydrological data acquisition module, a hydrological data analysis module, a hydrological data processing module, a water environment pollution ripple module and a water environment management module; The hydrological data acquisition module is used to collect hydrological environment data and hydrological spatial data of the river basin according to the hydrological monitoring station, obtain hydrological affiliation data according to the hydrological environment data, and establish a water environment observation model according to the hydrological environment data, hydrological spatial data and hydrological affiliation data of the river basin; The hydrological data analysis module is used to obtain hydrological mapping data according to the water environment observation model, the hydrological environment data and the hydrological spatial data, and to obtain the water environment interpretation model according to the hydrological mapping data and the water environment observation model; The hydrological data processing module is used to process the hydrological mapping data according to the water environment interpretation model to obtain the significant value of the water component and the load factor, and obtain the water accumulation factor according to the water environment interpretation model, the significant value of the water component and the load factor; The water environment pollution ripple module is used to obtain a ripple factor according to a water environment interpretation model and a water accumulation factor, and to analyze the water environment interpretation model according to the ripple factor to obtain a water quality source coefficient and water quality metadata; The water environment management module is used to obtain a water environment management strategy based on the water quality source coefficient and the water quality metadata, and to perform pollution management on the water environment through the water environment management strategy.

[0004] Furthermore, the hydrological data acquisition module collects hydrological environment data and hydrological spatial data of the river basin according to the hydrological monitoring station, obtains hydrological affiliation data according to the hydrological environment data, and establishes a water environment observation model according to the hydrological environment data, hydrological spatial data and hydrological affiliation data of the river basin, including: Divide the river basin into several areas, recorded as river sub-basins, and divide the river sub-basins into several sections, recorded as section sub-basins; The hydrological environment data includes water surface image data, water middle layer image data, water bottom layer image data and hydrological image set data; the hydrological image set data includes hydrological image data, hydrological acquisition time and hydrological acquisition location; the hydrological image data includes water surface layer image history data, water middle layer image history data and water bottom layer image history data; The hydrological spatial data include upstream hydrological data, mid-upper reaches hydrological data, mid-lower reaches hydrological data and downstream hydrological data; Based on the hydrological image data of the hydrological image set data, the benchmark water quality class and the hydrological image priority control data are obtained, and based on the hydrological image priority control data, the hydrological assessment data are obtained, and based on the hydrological collection time, hydrological collection location and hydrological assessment data of the hydrological assessment data, the hydrological affiliation data are obtained; A hydrological model construction unit is set; a physical space model of the water environment is constructed according to the hydrological model construction unit and the hydrological space data; a fluid model of the water environment is constructed according to the hydrological environment data; a baseline fluid model of the water environment is constructed according to the hydrological affiliation data; a water environment observation model is obtained according to the physical space model, the fluid model and the baseline fluid model; blue display information and yellow display information are obtained according to the baseline fluid model and the fluid model.

[0005] Furthermore, the hydrological data analysis module obtains hydrological mapping data according to the water environment observation model, the hydrological environment data and the hydrological spatial data, and obtains the water environment interpretation model according to the hydrological mapping data and the water environment observation model. The process includes: Through big data, the similarity analysis of the water environment observation model is carried out, and the data that does not completely overlap the blue display information and the yellow display information is analyzed. According to the hydrological collection time, the blue display information and the yellow display information, the transparent information and the hydrological association relationship are obtained; if the information is displayed in blue or yellow, a positioning unit is set; according to the positioning unit, the blue display information and the yellow display information, the hydrological yellow element data or the hydrological blue element data is obtained; according to the hydrological association relationship, the hydrological yellow element data and the hydrological blue element data, the hydrological element group data is obtained; an identification color unit is set; according to the identification unit and the hydrological element data, the hydrological identification point is obtained, and according to several hydrological identification points, the hydrological edge data and the benchmark hydrological edge data are obtained; an identification element unit is set; according to the identification element unit, the hydrological edge data and the benchmark hydrological edge data, the hydrological classification data and the benchmark hydrological classification data are obtained, and the hydrological classification data and the benchmark hydrological classification data are recorded as hydrological mapping data.

[0006] Furthermore, the process of obtaining the water environment interpretation model by the hydrological data analysis module according to the hydrological mapping data and the water environment observation model includes: Based on the hydrological mapping data and the water environment observation model, the number of algae, algae coverage area, the number of microbial species, the number of microorganisms, the number of animal species, the number of animals, the number of plant species and the plant coverage area are obtained. Based on the number of algae, algae coverage area, the number of microbial species, the number of microorganisms, the number of animal species, the number of animals, the number of plant species, the plant coverage area and the water environment observation model, a water environment interpretation model is generated.

[0007] Furthermore, the hydrological data processing module processes the hydrological mapping data according to the water environment interpretation model to obtain the significant value of the water component and the load factor, and the process of obtaining the water accumulation factor according to the water environment interpretation model, the significant value of the water component and the load factor includes: According to the hydrological environmental data of the water environment interpretation model, the water quality class is obtained; the water quality environmental factors are set; according to the water quality environmental factors, water quality grade and benchmark water quality class, the water component significance value and the benchmark water component significance value are obtained; according to the water environment interpretation model, hydrological mapping data, benchmark hydrological classification data and hydrological classification data, the algae factor, microbial factor, animal factor and plant factor are obtained; the algae enrichment influence coefficient, hydrological α coefficient, hydrological β coefficient and hydrological θ coefficient are set, and the load factor is obtained according to the hydrological α coefficient, algae factor, microbial factor, hydrological β coefficient, plant factor, animal factor, hydrological θ coefficient, animal factor, microbial factor, algae enrichment influence coefficient and algae factor; the carrying coefficient is set, and the water accumulation factor is obtained according to the water component significance value, benchmark water component significance value, the load factor and the carrying coefficient.

[0008] Furthermore, the water environment pollution ripple module obtains the ripple factor according to the water environment interpretation model and the water accumulation factor, and the process includes: The water accumulation factor is marked in the water environment interpretation model. When the water accumulation factor of the section monitoring point is greater than or equal to the load factor, the section monitoring point is recorded as a section water pollution point. The relevant river basin structure of the hydrological spatial data is deeply learned and analyzed through big data to obtain the pollution diffusion path. The section water pollution points are connected according to the pollution diffusion path, and the pollution transfer analysis is performed on the adjacent section water pollution points. The water flow velocity values ​​of the section water pollution points are collected, and the diffusion factor is set. According to the water accumulation factor of the section water pollution point, the water flow velocity value of the section water pollution point and the diffusion factor, the ripple factor is obtained.

[0009] Furthermore, the water environment pollution ripple module analyzes the water environment interpretation model according to the ripple factor, and the process of obtaining the water quality source coefficient and the water quality metadata includes: According to the pollution diffusion path of the water environment interpretation model and the ripple factor of the water pollution point in the section, the pollution source point in the pollution diffusion path is obtained, and the water quality metadata is obtained according to the pollution source point, hydrological collection time and hydrological collection location; the hydrological distance between the water pollution points in adjacent sections is collected, and the water quality source coefficient is obtained according to the hydrological distance between the water pollution points in adjacent sections and the ripple factor.

[0010] Furthermore, the water environment management module obtains a water environment management strategy according to the water quality source coefficient and the water quality metadata. The process of managing water environment pollution through the water environment management strategy includes: According to the water quality source coefficient and water quality metadata, set strict emission standards and reward and punishment measures, strengthen pollution management at pollution source points, and carry out sewage treatment and ecological restoration at pollution source points. Strengthen agricultural pollution control according to the pollution diffusion path, build green infrastructure, and generate water environment management strategies.

[0011] Compared with the prior art, the beneficial effects of the present invention are as follows: hydrological environmental data and hydrological spatial data of the river basin are collected by the hydrological monitoring station, hydrological affiliation data is obtained according to the hydrological environmental data, and a water environment observation model is established according to the hydrological environmental data, hydrological spatial data and hydrological affiliation data of the river basin, so as to improve the intelligent level of water environment observation; hydrological mapping data are obtained according to the water environment observation model, hydrological environmental data and hydrological spatial data, and a water environment interpretation model is obtained according to the hydrological mapping data and the water environment observation model, so as to conduct real-time and comprehensive analysis of complex and changeable water bodies; the hydrological mapping data are processed according to the water environment interpretation model to obtain significant water components. Values ​​and load factors are obtained, and the water accumulation factor is obtained according to the water environment interpretation model, the significant values ​​of water components and the load factors, which can expand the coverage of water environment analysis and conduct a comprehensive analysis of water environment pollution; the ripple factor is obtained according to the water environment interpretation model and the water accumulation factor, and the water environment interpretation model is analyzed according to the ripple factor to obtain the water quality source coefficient and water quality metadata, which can improve the detection rate of pollution incidents and the timeliness of water environment pollution management; the water environment management strategy is obtained according to the water quality source coefficient and water quality metadata, and pollution management of the water environment is carried out through the water environment management strategy, which can improve the monitoring, governance and management efficiency of the water environment and promote the sustainable development of the water environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 This is a schematic diagram of a water environment pollution analysis and management system based on big data according to an embodiment of the present application. DETAILED DESCRIPTION

[0013] like Figure 1 As shown, a water environment pollution analysis and management system based on big data includes a management center, and the management center is communicatively connected with a hydrological data acquisition module, a hydrological data analysis module, a hydrological data processing module, a water environment pollution ripple module and a water environment management module; The hydrological data acquisition module is used to collect hydrological environment data and hydrological spatial data of the river basin according to the hydrological monitoring station, obtain hydrological affiliation data according to the hydrological environment data, and establish a water environment observation model according to the hydrological environment data, hydrological spatial data and hydrological affiliation data of the river basin; The hydrological data analysis module is used to obtain hydrological mapping data according to the water environment observation model, the hydrological environment data and the hydrological spatial data, and to obtain the water environment interpretation model according to the hydrological mapping data and the water environment observation model; The hydrological data processing module is used to process the hydrological mapping data according to the water environment interpretation model to obtain the significant value of the water component and the load factor, and obtain the water accumulation factor according to the water environment interpretation model, the significant value of the water component and the load factor; The water environment pollution ripple module is used to obtain a ripple factor according to a water environment interpretation model and a water accumulation factor, and to analyze the water environment interpretation model according to the ripple factor to obtain a water quality source coefficient and water quality metadata; The water environment management module is used to obtain a water environment management strategy based on the water quality source coefficient and the water quality metadata, and to perform pollution management on the water environment through the water environment management strategy.

[0014] It should be further explained that, in the specific implementation process, the hydrological data acquisition module is used to collect the hydrological environment data and hydrological spatial data of the river basin according to the hydrological monitoring station, obtain the hydrological affiliation data according to the hydrological environment data, and establish the water environment observation model according to the hydrological environment data, hydrological spatial data and hydrological affiliation data of the river basin. The process is: Divide the river basin into several areas, recorded as river sub-basins, and divide the river sub-basins into several sections, recorded as section sub-basins; The hydrological monitoring station is set up in each river sub-basin to obtain the hydrological environment data and hydrological spatial data of the river sub-basin; a plurality of cross-section monitoring points are set up in the hydrological monitoring station; the cross-section monitoring points in the hydrological monitoring station are set up in each cross-section sub-basin in the river sub-basin to obtain the hydrological environment data and hydrological spatial data of the cross-section sub-basin; It should be further explained that, in the specific implementation process, the hydrological monitoring station is a hydrological station within the river basin; The hydrological environment data includes water surface image data, water middle layer image data, water bottom layer image data and hydrological image set data; the hydrological image set data includes hydrological image data, hydrological acquisition time and hydrological acquisition location; the hydrological image data includes water surface layer image history data, water middle layer image history data and water bottom layer image history data; The hydrological spatial data include upstream hydrological data, mid-upper reaches hydrological data, mid-lower reaches hydrological data and downstream hydrological data; According to the hydrological environment data, hydrological assessment is performed on the hydrological image set data in the hydrological environment data to obtain hydrological affiliation data; It should be further explained that, in the specific implementation process, the process of conducting hydrological assessment on the hydrological image set data in the hydrological environment data is as follows: conducting environmental quality assessment on all hydrological image data in the hydrological image set data through the "Surface Layer Environmental Quality Standards" to obtain the benchmark water quality class, obtaining hydrological image data with a benchmark water quality class of Class I, recorded as hydrological image optimization data, and conducting deep comparative learning on the hydrological image optimization data of the same cross-section sub-basin at the same hydrological collection time to obtain the optimal water quality data in the hydrological image optimization data of the same cross-section sub-basin at the same time, recorded as hydrological assessment data, and marking the hydrological collection time and hydrological collection location of the hydrological assessment data in the corresponding hydrological assessment data to obtain hydrological affiliation data; Establish a water environment observation model based on the hydrological environment data, hydrological spatial data and hydrological affiliation data of the river basin; It needs to be further explained that, in the specific implementation process, the process of establishing a water environment observation model based on the hydrological environment data, hydrological spatial data and hydrological affiliation data of the river basin is specifically as follows: a hydrological model construction unit is set, and the hydrological environment data, hydrological spatial data and hydrological affiliation data of the river basin are acquired through the hydrological model construction unit; a physical space model of the water environment is constructed according to the acquired hydrological spatial data through the hydrological model construction unit; a fluid model of the water environment is constructed according to the acquired hydrological environment data; a baseline fluid model of the water environment is constructed according to the acquired hydrological affiliation data; the constructed physical space model, fluid model and baseline fluid model are integrated to obtain a digital twin model of the water environment, recorded as a water environment observation model; and the baseline fluid model is displayed in blue in the water environment observation model, and the fluid model is displayed in yellow in the water environment observation model to obtain blue display information and yellow display information.

[0015] It should be further explained that, in the specific implementation process, the hydrological data analysis module is used to obtain hydrological mapping data according to the water environment observation model, hydrological environment data and hydrological spatial data, and the process of obtaining the water environment interpretation model according to the hydrological mapping data and the water environment observation model is as follows: Through big data, similarity analysis is performed on the water environment observation model, and the data that does not completely overlap with the blue display information and the yellow display information are fuzzy located to obtain the hydrological element group data; It should be further explained that, in the specific implementation process, the water environment observation model is analyzed for similarity through big data, and the data that does not completely overlap with the blue display information and the yellow display information are fuzzily located. Specifically, the process is as follows: according to the same hydrological collection time, the blue display information and the yellow display information are overlapped and analyzed. If the information is displayed in green, the green display information is obtained, and the green display information is made transparent to obtain transparent information, and the blue display information and the yellow display information at the edge of the transparent information are hydrologically associated, and the hydrological association refers to associating the changes between the blue display information and the yellow display information to obtain the hydrological association relationship; if the information is displayed in blue or yellow, a positioning unit is set, and the positioning unit is positioned by a border, and the size of the border can be changed arbitrarily; the blue display information or the yellow display information is framed by the positioning unit, and the frame selection operation refers to the positioning unit being able to select the blue display information or the yellow display information exactly by the border, and the hydrological yellow element data or the hydrological blue element data is obtained; through the hydrological association relationship, the hydrological yellow element data and the hydrological blue element data are correspondingly associated to obtain the hydrological element group data; Perform edge extraction on the hydrological element group data to obtain hydrological mapping data; It should be further explained that, in the specific implementation process, the process of edge extraction of the hydrological element group data is specifically as follows: setting a color recognition unit, the recognition unit is used to perform color recognition on blue and yellow; performing color recognition on the hydrological element data through the recognition unit, if the recognition unit recognizes the color, then continuing the recognition until the color is not recognized for the first time, then obtaining the last recognition point, recording it as the hydrological recognition point, and connecting several hydrological recognition points in sequence into a closed curve to obtain hydrological edge data and benchmark hydrological edge data; setting an recognition element unit, the recognition element unit includes an algae recognition unit, a microorganism recognition unit, an animal recognition unit and a plant recognition unit, and the algae recognition unit, the microorganism recognition unit, the animal recognition unit and the plant recognition unit The animal unit and the plant identification unit can identify the existing algae species, microorganism species, animal species and plant species; the element edge identification is performed on the hydrological edge data and the baseline hydrological edge data respectively through the element identification unit, and the algae species, microorganism species, animal species and plant species in the hydrological edge data are identified according to the algae identification unit, the microorganism identification unit, the animal identification unit and the plant identification unit, and the algae, microorganisms, animals and plants in the image data are extracted respectively, and the algae species, microorganism species, animal species and plant species are marked to obtain hydrological classification data and baseline hydrological classification data, and the hydrological classification data and baseline hydrological classification data are recorded as hydrological mapping data; Obtain a water environment interpretation model based on hydrological mapping data and water environment observation model; It should be further explained that, in the specific implementation process, the process of obtaining the water environment interpretation model according to the hydrological mapping data and the water environment observation model is as follows: the hydrological mapping data is positioned in the water environment observation model to the corresponding river basin, the hydrological mapping data is marked in the corresponding water environment observation model, and the algae, microorganisms, animals and plants in the hydrological mapping data are counted to obtain the number of algae, the area of ​​coverage of algae, the number of microorganism species, the number of microorganisms, the number of animal species, the number of animals, the number of plant species and the area of ​​coverage of plants, and the number of algae, the area of ​​coverage of algae, the number of microorganism species, the number of microorganisms, the number of animal species, the number of animals, the number of plant species and the area of ​​coverage of plants are marked in the water environment observation model to generate a water environment interpretation model.

[0016] It should be further explained that, in the specific implementation process, the hydrological data processing module is used to process the hydrological mapping data according to the water environment interpretation model to obtain the significant value of the water component and the load factor, and the process of obtaining the water accumulation factor according to the water environment interpretation model, the significant value of the water component and the load factor is: The water quality of the surface layer image data, the middle layer image data, and the bottom layer image data of the hydrological environment data in the water environment interpretation model are evaluated through the "Surface Layer Environmental Quality Standard" to obtain the water quality class; Setting a water quality environmental factor, wherein the water quality environmental factor is related to the weather environment of the river basin; multiplying the water quality environmental factor with the water quality grade and the reference water quality class grade to obtain a water component significance value and a reference water component significance value; According to the water environment interpretation model and the hydrological mapping data, the difference calculation results of the baseline hydrological classification data and the number of algae in the hydrological classification data are multiplied by the difference calculation results of the baseline hydrological classification data and the algae coverage area in the hydrological classification data to obtain the algae factor, the difference calculation results of the baseline hydrological classification data and the number of microorganisms in the hydrological classification data are multiplied by the difference calculation results of the baseline hydrological classification data and the number of microorganisms in the hydrological classification data to obtain the microbial factor, the difference calculation results of the number of animal species in the baseline hydrological classification data and the hydrological classification data are multiplied by the difference calculation results of the baseline hydrological classification data and the number of animals in the hydrological classification data to obtain the animal factor, and the difference calculation results of the number of plant species in the baseline hydrological classification data and the hydrological classification data are multiplied by the difference calculation results of the plant coverage area in the baseline hydrological classification data and the hydrological classification data to obtain the plant factor; Setting an algae enrichment influence coefficient, a hydrological alpha coefficient, a hydrological beta coefficient and a hydrological theta coefficient, wherein the algae enrichment influence coefficient is related to the algae coverage area, the hydrological alpha coefficient is related to the biological behavior between algae and microorganisms, the hydrological beta coefficient is related to the biological behavior between plants and animals, and the hydrological theta coefficient is related to the biological behavior between animals and microorganisms; The product calculation results of the hydrological α coefficient, algae factor and microbial factor, the product calculation results of the hydrological β coefficient, plant factor and animal factor, and the product calculation results of the hydrological θ coefficient, animal factor and microbial factor are added together, and the obtained calculation results and the product calculation results of the algae enrichment influence coefficient and the algae factor are ratio-calculated to obtain the load factor; The bearing coefficient is set, the difference calculation result of the water component significant value and the benchmark water component significant value is calculated by ratio with the load factor, and the calculated result is multiplied by the bearing coefficient to obtain the water accumulation factor.

[0017] It should be further explained that, in the specific implementation process, the water environment pollution ripple module is used to obtain the ripple factor according to the water environment interpretation model and the water accumulation factor, and the water environment interpretation model is analyzed according to the ripple factor to obtain the water quality source coefficient and the water quality metadata. The water accumulation factor is marked in the water environment interpretation model. When the water accumulation factor of the cross-section monitoring point is greater than or equal to the load factor, the cross-section monitoring point is recorded as a cross-section water pollution point. The relevant river basin structure of the hydrological spatial data is deeply learned and analyzed through big data to obtain the pollution diffusion path. The cross-section water pollution points are connected according to the pollution diffusion path, and the pollution transfer analysis is performed on the adjacent cross-section water pollution points to obtain the ripple factor. It should be further explained that, in the specific implementation process, the specific process of performing pollution transfer analysis on adjacent cross-section water pollution points is as follows: collecting the water flow velocity value of the cross-section water pollution point, setting the diffusion factor, which is related to the terrain, river channel and water body temperature, multiplying the result of the difference calculation of the water accumulation factor of the adjacent cross-section water pollution point with the result of the difference calculation of the water flow velocity value of the adjacent cross-section water pollution point, and multiplying the obtained calculation result with the diffusion factor to obtain the ripple factor; Analyze the water environment interpretation model according to the ripple factor to obtain the water quality source coefficient and water quality metadata; It needs to be further explained that, in the specific implementation process, the specific process of analyzing the water environment interpretation model according to the ripple factor is as follows: the ripple factor of the cross-section water pollution point is analyzed according to the pollution diffusion path in the water environment interpretation model, and the value of the ripple factor is analyzed from small to large, and the cross-section water pollution point corresponding to the maximum value of the ripple factor in the pollution diffusion path is obtained, and recorded as the pollution source point in the pollution diffusion path, and the pollution source point, hydrological collection time and hydrological collection location are recorded as water quality metadata; the hydrological distance between adjacent cross-section water pollution points is collected, and the difference between the hydrological distance of adjacent cross-section water pollution points and the ripple factor of the adjacent cross-section water pollution points is multiplied and accumulated to obtain the water quality source coefficient.

[0018] It should be further explained that, in the specific implementation process, the water environment management module is used to obtain a water environment management strategy based on the water quality source coefficient and the water quality metadata. The process of pollution management of the water environment through the water environment management strategy is as follows: Based on the water quality source coefficient and water quality metadata, satellite remote sensing technology and drone aerial photography are used to collect image data of pollution source points and pollution diffusion paths. Strict emission standards and reward and punishment measures are set according to the water quality metadata based on the collected image data, pollution management at pollution source points is strengthened, and sewage treatment and ecological restoration are carried out at pollution source points. Agricultural pollution control is strengthened according to the pollution diffusion path, green infrastructure is built, and water environment management strategies are generated.

[0019] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A water environment pollution analysis and management system based on big data, including a management center, characterized in that: The management center is communicatively connected to a hydrological data acquisition module, a hydrological data analysis module, a hydrological data processing module, a water environment pollution ripple module, and a water environment management module; The hydrological data acquisition module is used to collect hydrological environment data and hydrological spatial data of the river basin according to the hydrological monitoring station, obtain hydrological affiliation data according to the hydrological environment data, and establish a water environment observation model according to the hydrological environment data, hydrological spatial data and hydrological affiliation data of the river basin; The hydrological data analysis module is used to obtain hydrological mapping data according to the water environment observation model, the hydrological environment data and the hydrological spatial data, and to obtain the water environment interpretation model according to the hydrological mapping data and the water environment observation model; The hydrological data processing module is used to process the hydrological mapping data according to the water environment interpretation model to obtain the significant value of the water component and the load factor, and obtain the water accumulation factor according to the water environment interpretation model, the significant value of the water component and the load factor; The water environment pollution ripple module is used to obtain a ripple factor according to a water environment interpretation model and a water accumulation factor, and to analyze the water environment interpretation model according to the ripple factor to obtain a water quality source coefficient and water quality metadata; The water environment management module is used to obtain a water environment management strategy based on the water quality source coefficient and the water quality metadata, and to perform pollution management on the water environment through the water environment management strategy.

2. According to the big data-based water environment pollution analysis and management system of claim 1, it is characterized in that: The hydrological data acquisition module collects hydrological environment data and hydrological spatial data of the river basin according to the hydrological monitoring station, obtains hydrological affiliation data according to the hydrological environment data, and establishes a water environment observation model according to the hydrological environment data, hydrological spatial data and hydrological affiliation data of the river basin, including the following process: Divide the river basin into several areas, recorded as river sub-basins, and divide the river sub-basins into several sections, recorded as section sub-basins; The hydrological environment data includes water surface image data, water middle layer image data, water bottom layer image data and hydrological image set data; the hydrological image set data includes hydrological image data, hydrological acquisition time and hydrological acquisition location; the hydrological image data includes water surface layer image history data, water middle layer image history data and water bottom layer image history data; The hydrological spatial data include upstream hydrological data, mid-upper reaches hydrological data, mid-lower reaches hydrological data and downstream hydrological data; Based on the hydrological image data of the hydrological image set data, the benchmark water quality class and the hydrological image priority control data are obtained, and based on the hydrological image priority control data, the hydrological assessment data are obtained, and based on the hydrological collection time, hydrological collection location and hydrological assessment data of the hydrological assessment data, the hydrological affiliation data are obtained; A hydrological model construction unit is set; a physical space model of the water environment is constructed according to the hydrological model construction unit and the hydrological space data; a fluid model of the water environment is constructed according to the hydrological environment data; a baseline fluid model of the water environment is constructed according to the hydrological affiliation data; a water environment observation model is obtained according to the physical space model, the fluid model and the baseline fluid model; blue display information and yellow display information are obtained according to the baseline fluid model and the fluid model.

3. The water environment pollution analysis and management system based on big data according to claim 2 is characterized in that: The hydrological data analysis module obtains hydrological mapping data according to the water environment observation model, the hydrological environment data and the hydrological spatial data, and obtains the water environment interpretation model according to the hydrological mapping data and the water environment observation model. The process includes: Through big data, the similarity analysis of the water environment observation model is carried out, and the data that does not completely overlap the blue display information and the yellow display information is analyzed. According to the hydrological collection time, the blue display information and the yellow display information, the transparent information and the hydrological association relationship are obtained; if the information is displayed in blue or yellow, a positioning unit is set; according to the positioning unit, the blue display information and the yellow display information, the hydrological yellow element data or the hydrological blue element data is obtained; according to the hydrological association relationship, the hydrological yellow element data and the hydrological blue element data, the hydrological element group data is obtained; an identification color unit is set; according to the identification unit and the hydrological element data, the hydrological identification point is obtained, and according to several hydrological identification points, the hydrological edge data and the benchmark hydrological edge data are obtained; an identification element unit is set; according to the identification element unit, the hydrological edge data and the benchmark hydrological edge data, the hydrological classification data and the benchmark hydrological classification data are obtained, and the hydrological classification data and the benchmark hydrological classification data are recorded as hydrological mapping data.

4. The water environment pollution analysis and management system based on big data according to claim 3 is characterized in that: The process of obtaining the water environment interpretation model by the hydrological data analysis module according to the hydrological mapping data and the water environment observation model includes: Based on the hydrological mapping data and the water environment observation model, the number of algae, algae coverage area, the number of microbial species, the number of microorganisms, the number of animal species, the number of animals, the number of plant species and the plant coverage area are obtained. Based on the number of algae, algae coverage area, the number of microbial species, the number of microorganisms, the number of animal species, the number of animals, the number of plant species, the plant coverage area and the water environment observation model, a water environment interpretation model is generated.

5. The water environment pollution analysis and management system based on big data according to claim 4 is characterized in that: The hydrological data processing module processes the hydrological mapping data according to the water environment interpretation model to obtain the significant value of the water component and the load factor, and the process of obtaining the water accumulation factor according to the water environment interpretation model, the significant value of the water component and the load factor includes: According to the hydrological environmental data of the water environment interpretation model, the water quality class is obtained; the water quality environmental factors are set; according to the water quality environmental factors, water quality grade and benchmark water quality class, the water component significance value and the benchmark water component significance value are obtained; according to the water environment interpretation model, hydrological mapping data, benchmark hydrological classification data and hydrological classification data, the algae factor, microbial factor, animal factor and plant factor are obtained; the algae enrichment influence coefficient, hydrological α coefficient, hydrological β coefficient and hydrological θ coefficient are set, and the load factor is obtained according to the hydrological α coefficient, algae factor, microbial factor, hydrological β coefficient, plant factor, animal factor, hydrological θ coefficient, animal factor, microbial factor, algae enrichment influence coefficient and algae factor; the carrying coefficient is set, and the water accumulation factor is obtained according to the water component significance value, benchmark water component significance value, the load factor and the carrying coefficient.

6. The water environment pollution analysis and management system based on big data according to claim 5 is characterized in that: The water environment pollution ripple module obtains the ripple factor according to the water environment interpretation model and the water accumulation factor, and the process includes: The water accumulation factor is marked in the water environment interpretation model. When the water accumulation factor of the section monitoring point is greater than or equal to the load factor, the section monitoring point is recorded as a section water pollution point. The relevant river basin structure of the hydrological spatial data is deeply learned and analyzed through big data to obtain the pollution diffusion path. The section water pollution points are connected according to the pollution diffusion path, and the pollution transfer analysis is performed on the adjacent section water pollution points. The water flow velocity values ​​of the section water pollution points are collected, and the diffusion factor is set. According to the water accumulation factor of the section water pollution point, the water flow velocity value of the section water pollution point and the diffusion factor, the ripple factor is obtained.

7. The water environment pollution analysis and management system based on big data according to claim 6 is characterized in that: The water environment pollution ripple module analyzes the water environment interpretation model according to the ripple factor, and the process of obtaining the water quality source coefficient and water quality metadata includes: According to the pollution diffusion path of the water environment interpretation model and the ripple factor of the water pollution point in the section, the pollution source point in the pollution diffusion path is obtained, and the water quality metadata is obtained according to the pollution source point, hydrological collection time and hydrological collection location; the hydrological distance between the water pollution points in adjacent sections is collected, and the water quality source coefficient is obtained according to the hydrological distance between the water pollution points in adjacent sections and the ripple factor.

8. The water environment pollution analysis and management system based on big data according to claim 7 is characterized in that: The water environment management module obtains a water environment management strategy based on the water quality source coefficient and the water quality metadata. The process of managing water environment pollution through the water environment management strategy includes: According to the water quality source coefficient and water quality metadata, set strict emission standards and reward and punishment measures, strengthen pollution management at pollution source points, and carry out sewage treatment and ecological restoration at pollution source points. Strengthen agricultural pollution control according to the pollution diffusion path, build green infrastructure, and generate water environment management strategies.

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