CN115685853A - Water environment pollution analysis management system and method based on big data - Google Patents
Water environment pollution analysis management system and method based on big data Download PDFInfo
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Abstract
The invention discloses a water environment pollution analysis management system and method based on big data. The analysis management system comprises a big data acquisition unit, a river channel area division unit, a big data analysis unit, a modeling unit and a visual output unit; the big data acquisition unit is used for acquiring water environment basic data and pollution source data; the river channel area dividing unit is used for dividing the river channel water environment into a plurality of detection areas which are identical in volume and connected with one another through a space three-dimensional grid dividing mode, the big data analyzing unit is used for receiving the water environment basic data and the pollution source data of the big data acquiring unit to perform sorting, analysis and diagnosis, and the visual output unit receives each data display model obtained through analysis of the modeling unit through the display terminal and displays and outputs the analysis result. The method is more comprehensive by matching multiple big data acquisition units with big data analysis, and is beneficial to improving the water environment pollution analysis management level.
Description
Technical Field
The invention relates to the technical field related to water environment pollution management, in particular to a water environment pollution analysis management system and method based on big data.
Background
The conventional monitoring mode of the water environment pollution is also a mode of manual detection, and is matched with some auxiliary detection devices, such as a water quality detector is carried to correspondingly detect water environment characteristic data, but the conventional monitoring mode is limited by manpower, is not beneficial to quickly completing the detection information collection of the water environment characteristic data, and is not convenient to keep continuous all-weather monitoring, and the conventional monitoring mode is also a big data-based water environment pollution analysis system with Chinese patent publication No. CN111596025B, wherein a detection module of the big data-based water environment pollution analysis system is connected with an early warning module and a remote communication module through a big data analysis module, a control module is connected with the big data analysis module and the remote communication module, and the remote communication module is connected with a client and a storage module.
However, such monitoring systems are often only used for local monitoring of areas such as sewage outlets along the river course, a comprehensive big data information acquisition means is lacked, and for the river course with a long length and a large number of inflows, monitoring by adopting the existing river course water environment pollution source monitoring means is easy to cause that response cannot be further accurately monitored, systematic big data analysis is difficult to form, the water pollution treatment effect is influenced, and the whole set of system for controlling regional water pollution is not favorable to form.
Aiming at the problems, the innovative design is carried out on the basis of the analysis and management of the original water environment pollution.
Disclosure of Invention
The invention aims to provide a water environment pollution analysis management system and method based on big data, and aims to solve the problems that the water environment pollution analysis management monitoring efficiency is low, and rapid and accurate response is inconvenient for a river channel with long length and more inflow ports is provided in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a water environment pollution analysis management system and method based on big data;
the analysis management system comprises a big data acquisition unit, a river channel area division unit, a big data analysis unit, a modeling unit and a visual output unit;
the big data acquisition unit is used for acquiring water environment basic data and pollution source data;
the big data acquisition unit comprises a network grabbing module, a sensor detection module and a manual acquisition module;
the river channel area dividing unit is used for dividing the river channel water environment into a plurality of detection areas which are the same in volume and are connected with each other in a space three-dimensional grid dividing mode, and the detection areas are numbered according to a preset sequence;
the river channel area dividing unit acquires characteristic information of a corresponding detection area through an image collector at the upper end of a horizontal plane of the sensor detection module and a distribution array of water quality detectors at the lower end of the horizontal plane, and the characteristic information acquisition comprises area image information of corresponding coordinates and water environment parameter changes;
the big data analysis unit is used for receiving the water environment basic data and the pollution source data of the big data acquisition unit for sorting, analyzing and diagnosing, and transmitting the data analysis result to the modeling unit and the visual output unit;
the modeling unit is used for combining the surface water environmental quality of each region with a sewage purification facility, a sewage treatment plant, a water ecological purification facility and a pollution discharge source through internal model simulation of the water quality parameter database to form a systematic regional water pollution treatment data information model;
the visual output unit receives the display models of the river basic data, the pollution source data and the pollution treatment data of each area, which are obtained by analyzing the modeling unit, through the display terminal and displays and outputs the analysis results;
the visual output unit is matched with the GIS map module and used for displaying real-time conditions of all pollution discharge ports, purification facility units and surface water quality in the regional map.
Preferably, the network grabbing module acquires data information such as pollution sources, emissions and weather forecast of the water environment territory through a network;
the sensor detection module comprises an image collector positioned at the upper end of a horizontal plane and a water quality detector positioned at the lower end of the horizontal plane, and water quality data collected in real time on site are obtained;
the manual acquisition module comprises a water body sampling device and is used for sampling the water quality monitoring area at a manual fixed point, acquiring relevant water quality information, and simultaneously inputting characteristic information after questionnaire survey and the landform situation around the water area are carried out on the environmental situation around the water area.
The characteristic information detection and input not only needs to collect the water quality related characteristic data, but also needs to carry out arrangement and classification on the surrounding environment, the pollution discharge condition, the regional water source, the landform and the like due to the diversity of the data types and the need of being matched with diversified storage modes, and the data are stored in a standardized manner after being quantized and unified.
Preferably, the specific division process of the river channel region division module dividing the length of the whole river channel into a plurality of coordinate regions according to the flow direction from upstream to downstream includes the following two steps:
step a: counting the length of the whole river channel;
step b: equally dividing the length of the whole river channel into n sections, and equidistantly arranging n sensor detection modules along the river channel;
step c: and taking the area where each section of river channel and the corresponding sensor detection module are as a detection coordinate area.
Preferably, the big data analysis unit fits, analyzes and diagnoses basic water environment data and pollution source data of the water environment in the coordinate area, including all real-time data of the environmental quality of distributed sewage purification facilities, sewage treatment plants, water ecological purification facilities and surface water in the area range, performs targeted pollution analysis and prediction on each area range, determines a corresponding pollution threshold value according to historical pollution data and average pollution level of each area range, determines the maximum emission amount and allowable emission indexes of a certain area, and performs risk assessment on a pollution source area when the water quality pollution is identified to exceed the standard.
Preferably, the water quality parameter database is used for storing data acquired by big data acquisition units such as standard water quality parameter values and normal water surface images of all detection areas, and establishing dynamic display model data by using river basic data, pollution source data and pollution treatment data.
Preferably, the GIS map module can display the real-time quality of distributed sewage treatment facilities, sewage treatment plants, water ecological treatment facilities and surface water in the area on a comprehensive GIS map, and can display the real-time operation and water quality conditions of the distributed sewage treatment facilities, the sewage treatment plants, the water ecological treatment facilities and the surface water, so that a water pollution monitoring platform of the whole area is formed, and problem alarming, remote regulation and control and water quality monitoring are realized.
Preferably, the water sampling device is used for sampling water in each divided coordinate area to obtain water samples in each coordinate area, wherein the water volume and the sampling depth of the sampled water in each detection space coordinate area are consistent with the sampling times and the sampling time.
Preferably, the water quality detectors are uniformly distributed along the extension direction of the river channel, are respectively installed in the water body of each coordinate area, determine the standard water body state of the corresponding coordinate area according to the position information, and detect the water body states of the water quality detection points according to a preset period to obtain the actual water body water quality parameters of each water quality detection point;
the water quality parameters comprise water color, water temperature, pH value, ammonia nitrogen content, phosphorus content and total number of bacteria, and the water quality parameters of the water samples in the coordinate areas form an area water sample water quality parameter set.
Preferably, the water quality detector comprises a water chromaticity tester, a turbidity tester, an acidimeter, an ammonia nitrogen tester, a metal ion content tester, a bacteria tester and a data transmission unit;
the water chromaticity tester is used for detecting the water chromaticity value of a water sample in a coordinate area, the turbidity tester is used for detecting the turbidity of the water sample in the coordinate area, the pH meter is used for detecting the pH value of the water sample in the coordinate area, the ammonia nitrogen tester and the ion content tester are used for detecting the contents of P elements, N elements and contained metal ions in the water body of the water sample in the coordinate area, the bacteria tester is used for detecting the total number of bacteria in the water sample in the coordinate area, and the data transmission unit is used for transmitting the result detected by the water quality detector to the big data analysis module.
Preferably, the image collector is a high-definition wide-angle camera, the data collected by the image collector comprise gray images obtained by gray processing of water surface images of corresponding areas, and the characteristic data of the floating pollutants on the water surface are identified through edge detection of the gray images.
A water environment pollution analysis management system and method based on big data are disclosed, the method specifically comprises:
s1, acquiring water environment basic data and pollution source data through a big data acquisition unit;
s2, dividing the riverway water environment into a plurality of detection areas which are same in volume and are mutually connected in a space three-dimensional grid dividing mode through a riverway area dividing unit, and numbering the detection areas according to a preset sequence;
s3, receiving the water environment basic data and the pollution source data of the big data acquisition unit through a big data analysis unit, sorting, analyzing and diagnosing, and transmitting the data analysis result to a modeling unit;
and S4, receiving the display model of river basic data, pollution source data and pollution treatment data of each area, which are obtained by analyzing the modeling unit, through the display terminal, and displaying and outputting the analysis result.
Compared with the prior art, the invention has the beneficial effects that: the water environment pollution analysis management system and method based on big data,
1. the big data acquisition unit comprises a network grabbing module, a sensor detection module, a manual acquisition module and the like, and is matched with the big data analysis unit to receive the water environment basic data and the pollution source data of the big data acquisition unit for sorting, analysis and diagnosis, and simultaneously, the river basic data, the pollution source data and the pollution treatment data in each area are displayed through a display model, so that visual monitoring is facilitated, the pollution source is rapidly determined, the monitoring efficiency is improved, the detection precision is improved by taking manual sampling detection as supplement, the influence of accidental error factors is reduced, the big data analysis is more comprehensive, and the water environment pollution analysis management level is improved;
2. divide into a plurality of volumes the same and interconnect's detection area through the partition mode through space three-dimensional net to the river course water environment, combine the image collector of horizontal plane upper end and be located the water quality detector of horizontal plane lower extreme, acquire the quality of water data to the regional on-the-spot real-time collection of detection coordinate, make things convenient for the regional quality of water parameter of each coordinate and the regional quality of water parameter contrast of adjacent coordinate, be convenient for simultaneously enough carry out the pollution sources monitoring to the longer and more river course water environment of inflow inlet of length, the problem of having avoided unable accurate monitoring is convenient for the direct-viewing understanding of river course management, it handles to conveniently carrying out accurate quick correspondence to pollution level and pollution source, the efficiency of river course pollution abatement has been improved.
Drawings
FIG. 1 is a block diagram illustrating an overall schematic of an analysis management system according to the present invention;
FIG. 2 is a schematic block diagram of a big data acquisition unit according to the present invention;
FIG. 3 is a schematic flow chart of an analysis management system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1-3, the present invention provides a technical solution: a water environment pollution analysis management system and method based on big data;
the analysis management system comprises a big data acquisition unit, a river channel area division unit, a big data analysis unit, a modeling unit and a visual output unit, wherein the river channel area division unit is matched with a sensor detection module of the big data acquisition unit to divide a coordinate area by taking each kilometer of a river reach as a unit;
the big data acquisition unit is used for acquiring water environment basic data and pollution source data;
the big data acquisition unit comprises a network grabbing module, a sensor detection module and a manual acquisition module;
the network grasping module acquires data information such as water environment property pollution sources, emissions, weather forecast and the like through a network;
the sensor detection module comprises an image collector positioned at the upper end of the horizontal plane and a water quality detector positioned at the lower end of the horizontal plane, and water quality data collected in real time on site are obtained;
the image collector is a high-definition wide-angle camera, the data collected by the image collector comprise gray images obtained by gray processing of water surface images of corresponding areas, and the characteristic data of the floating pollutants on the water surface are identified through edge detection of the gray images.
The water quality detectors are uniformly distributed along the extension direction of the river channel, are respectively installed in the water body of each coordinate area, determine the standard water body state of the corresponding coordinate area according to the position information, and detect the water body state of the water quality detection points according to a preset period to obtain the actual water body water quality parameters of each water quality detection point;
the water quality parameters comprise water color, water temperature, pH value, ammonia nitrogen content, phosphorus content and total number of bacteria, and the water quality parameters of the water samples in the coordinate areas form an area water sample water quality parameter set.
The water quality detector comprises a water chromaticity tester, a turbidity tester, an acidimeter, an ammonia nitrogen tester, a metal ion content tester, a bacteria tester and a data transmission unit;
the water chromaticity tester is used for detecting the water chromaticity value of a water sample in a coordinate area, the turbidity tester is used for detecting the turbidity of the water sample in the coordinate area, the pH meter is used for detecting the pH value of the water sample in the coordinate area, the ammonia nitrogen tester and the ion content tester are used for detecting the contents of P elements, N elements and contained metal ions in the water body of the water sample in the coordinate area, the bacteria tester is used for detecting the total number of bacteria in the water sample in the coordinate area, and the data transmission unit is used for transmitting the result detected by the water quality detector to the big data analysis module.
The manual acquisition module comprises a water body sampling device and is used for manually sampling the water quality monitoring area at a fixed point to acquire relevant water quality information, and simultaneously inputting characteristic information after questionnaire survey and the landform conditions around the water area are carried out on the environmental conditions around the water area.
The water sampling device is used for sampling water in each divided coordinate area to obtain water samples in each coordinate area, wherein the water volume and the sampling depth of the water sampled in each detection space coordinate area are consistent with the sampling times and the sampling time.
The characteristic information detection and input needs to collect the water quality related characteristic data, and also needs to carry out sorting and classification on the surrounding environment, the pollution discharge condition, the regional water source, the landform and the like due to the diversity of the data types and the need of being matched with a diversified storage mode, and the data is stored in a standardized way after being quantized and unified.
The river channel area dividing unit is used for dividing the river channel water environment into a plurality of detection areas which are the same in volume and are connected with each other in a space three-dimensional grid dividing mode, and the detection areas are numbered according to a preset sequence;
the river channel area division unit acquires the characteristic information of a corresponding detection area through an image collector at the upper end of a horizontal plane of the sensor detection module and a distribution array of the water quality detector at the lower end of the horizontal plane, and the characteristic information acquisition comprises area image information of corresponding coordinates and water environment parameter change;
the specific dividing process of the river channel area dividing module for dividing the length of the whole river channel into a plurality of coordinate areas according to the flow direction from upstream to downstream comprises the following two steps:
step a: counting the length of the whole river channel;
step b: equally dividing the length of the whole river channel into n sections, and equidistantly arranging n sensor detection modules along the river channel;
step c: and taking the area of each section of river channel and the corresponding sensor detection module as a detection coordinate area.
The big data analysis unit is used for receiving the water environment basic data and the pollution source data of the big data acquisition unit for sorting, analyzing and diagnosing, and transmitting the data analysis result to the modeling unit and the visual output unit;
the big data analysis unit fits, analyzes and diagnoses water environment basic data and pollution source data of the coordinate area, including all real-time data of distributed sewage purification facilities, sewage treatment plants, water ecological purification facilities and surface water environment quality of the area range, analyzes and predicts pollution pertinence of each area range, determines a corresponding pollution threshold value according to historical pollution data and average pollution level of each area range, determines the maximum emission and allowable emission indexes of a certain area, and carries out risk assessment on a pollution source area when recognizing that water quality pollution exceeds the standard.
The modeling unit is used for combining the surface water environmental quality of each region with a sewage purification facility, a sewage treatment plant, a water ecological purification facility and a pollution discharge source through internal model simulation of the water quality parameter database to form a systematic regional water pollution treatment data information model;
the water quality parameter database is used for storing data acquired by big data acquisition units such as standard water quality parameter values and normal water surface images of all detection areas, and establishing dynamic display model data according to river basic data, pollution source data and pollution treatment data.
The visual output unit receives the display models of the river basic data, the pollution source data and the pollution treatment data of each area, which are obtained by analyzing the modeling unit, through the display terminal and displays and outputs the analysis results;
the visual output unit is matched with the GIS map module and used for displaying real-time conditions of all pollution discharge ports, purification facility units and surface water quality in the regional map.
The GIS map module can display the real-time quality of distributed sewage treatment facilities, sewage treatment plants, water ecological treatment facilities and surface water in the area on a comprehensive GIS map, can display the real-time operation and water quality condition of the distributed sewage treatment facilities, the sewage treatment plants, the water ecological treatment facilities and the surface water, forms a water pollution monitoring platform of the whole area, and realizes problem alarming, remote regulation and control and water quality monitoring.
A water environment pollution analysis management system and method based on big data specifically comprises the following steps:
s1, acquiring water environment basic data and pollution source data through a big data acquisition unit;
s2, dividing the river water environment into a plurality of detection areas which are the same in volume and are connected with one another in a space three-dimensional grid dividing mode through a river area dividing unit, and numbering the detection areas according to a preset sequence;
s3, receiving the water environment basic data and the pollution source data of the big data acquisition unit through a big data analysis unit, sorting, analyzing and diagnosing, and transmitting the data analysis result to a modeling unit;
and S4, receiving the display model of river basic data, pollution source data and pollution treatment data of each area, which are obtained by analyzing the modeling unit, through the display terminal, and displaying and outputting the analysis result.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A water environment pollution analysis management system based on big data is characterized in that:
the analysis management system comprises a big data acquisition unit, a river channel area division unit, a big data analysis unit, a modeling unit and a visual output unit;
the big data acquisition unit is used for acquiring water environment basic data and pollution source data;
the big data acquisition unit comprises a network grabbing module, a sensor detection module and a manual acquisition module;
the river channel area dividing unit is used for dividing the river channel water environment into a plurality of detection areas which are the same in volume and are connected with each other in a space three-dimensional grid dividing mode, and the detection areas are numbered according to a preset sequence;
the river channel area dividing unit acquires characteristic information of a corresponding detection area through an image collector at the upper end of a horizontal plane of the sensor detection module and a distribution array of water quality detectors at the lower end of the horizontal plane, and the characteristic information acquisition comprises area image information of corresponding coordinates and water environment parameter changes;
the big data analysis unit is used for receiving the water environment basic data and the pollution source data of the big data acquisition unit for sorting, analyzing and diagnosing, and transmitting the data analysis result to the modeling unit and the visual output unit;
the modeling unit combines the surface water environmental quality of each region with a sewage purification facility, a sewage treatment plant, a water ecological purification facility and a pollution discharge source through the simulation of an internal model of a water quality parameter database to form a systematic regional water pollution treatment data information model;
the visual output unit receives the display models of river basic data, pollution source data and pollution treatment data of each area, which are obtained by analyzing the modeling unit, through the display terminal and displays and outputs the analysis results;
the visual output unit is matched with the GIS map module and used for displaying real-time conditions of all pollution discharge ports, purification facility units and surface water quality in the regional map.
2. The big data-based water environment pollution analysis and management system according to claim 1, wherein: the network grabbing module acquires data information such as water environment property pollution sources, emissions, weather forecast and the like through a network;
the sensor detection module comprises an image collector positioned at the upper end of the horizontal plane and a water quality detector positioned at the lower end of the horizontal plane, and water quality data collected in real time on site are obtained;
the manual acquisition module comprises a water body sampling device and is used for manually sampling a water quality monitoring area at a fixed point to acquire related water quality information, and simultaneously performing questionnaire survey on the environmental condition around the water area and inputting characteristic information after the landform condition around the water area is performed;
the characteristic information detection and input needs to collect the characteristic data related to water quality, and also needs to arrange and classify the surrounding environment, the pollution discharge condition, the regional water source, the landform and the like due to the diversity of data types and the diversified storage mode, so that the characteristic information is stored in a standardized manner after being quantized and unified.
3. The big data-based water environment pollution analysis and management system according to claim 1, wherein: the specific division process of the river channel area division module for dividing the length of the whole river channel into a plurality of coordinate areas according to the flow direction from upstream to downstream comprises the following two steps:
step a: counting the length of the whole river channel;
step b: equally dividing the length of the whole river channel into n sections, and equidistantly arranging n sensor detection modules along the river channel;
step c: and taking the area of each section of river channel and the corresponding sensor detection module as a detection coordinate area.
4. The big data-based water environment pollution analysis and management system according to claim 1, wherein: the big data analysis unit fits, analyzes and diagnoses basic water environment data and pollution source data of a coordinate area, including all real-time data of distributed sewage purification facilities, sewage treatment plants, water ecological purification facilities and surface water environment quality of the area range, analyzes and predicts pollution pertinence of each area range, determines a corresponding pollution threshold value according to historical pollution data and average pollution level of each area range, determines the maximum emission and allowable emission indexes of a certain area, and carries out risk assessment on a pollution source area when recognizing that the water quality pollution exceeds the standard.
5. The big data-based water environment pollution analysis and management system according to claim 1, wherein: the water quality parameter database is used for storing data acquired by big data acquisition units such as standard water quality parameter values and normal water surface images of all detection areas, and establishing dynamic display model data according to river basic data, pollution source data and pollution treatment data.
6. The big data-based water environment pollution analysis and management system according to claim 1, wherein: the GIS map module can display the real-time quality of distributed sewage treatment facilities, sewage treatment plants, water ecological treatment facilities and surface water in the area on a comprehensive GIS map, can display the real-time operation and water quality condition of the distributed sewage treatment facilities, the sewage treatment plants, the water ecological treatment facilities and the surface water, forms a water pollution monitoring platform of the whole area, and realizes problem alarming, remote regulation and control and water quality monitoring.
7. The big data-based water environment pollution analysis and management system according to claim 1, wherein: the water sampling device of the manual acquisition module is used for sampling water in each divided coordinate area to obtain water samples in each coordinate area, wherein the water volume and the sampling depth of the water sampled in each detection space coordinate area are consistent with the sampling times and the sampling time.
8. The big data-based water environment pollution analysis and management system according to claim 1, wherein: the water quality detectors are uniformly distributed along the extension direction of the river channel and are respectively installed in the water body of each coordinate area, the standard water body state of the corresponding coordinate area is determined according to the position information, and the water body states of the water quality detection points are detected according to a preset period to obtain the actual water body water quality parameters of each water quality detection point;
the water quality parameters comprise water color, water temperature, pH value, ammonia nitrogen content, phosphorus content and total number of bacteria, and the water quality parameters of the water samples in each coordinate area form an area water sample water quality parameter set;
the water quality detector comprises a water chromaticity tester, a turbidity tester, an acidimeter, an ammonia nitrogen tester, a metal ion content tester, a bacteria tester and a data transmission unit;
the water chromaticity tester is used for detecting the water chromaticity value of a water sample in a coordinate area, the turbidity tester is used for detecting the turbidity of the water sample in the coordinate area, the pH meter is used for detecting the pH value of the water sample in the coordinate area, the ammonia nitrogen tester and the belonging ion content tester are used for detecting the content of P elements, N elements and contained metal ions in a water body of the water sample in the coordinate area, the bacteria tester is used for detecting the total number of bacteria in the water sample in the coordinate area, and the data transmission unit is used for transmitting a result detected by the water quality detector to the big data analysis module.
9. The big data-based water environment pollution analysis and management system according to claim 1, wherein: the image collector is a high-definition wide-angle camera, the data collected by the image collector comprise gray images obtained by gray processing of water surface images of corresponding areas, and the characteristic data of the floating pollutants on the water surface are identified through edge detection of the gray images.
10. The management method of the water environment pollution analysis management system based on big data as claimed in claim 1, wherein: the method specifically comprises the following steps:
s1, acquiring water environment basic data and pollution source data through a big data acquisition unit;
s2, dividing the riverway water environment into a plurality of detection areas which are same in volume and are mutually connected in a space three-dimensional grid dividing mode through a riverway area dividing unit, and numbering the detection areas according to a preset sequence;
s3, receiving the water environment basic data and the pollution source data of the big data acquisition unit through a big data analysis unit, sorting, analyzing and diagnosing, and transmitting the data analysis result to a modeling unit;
and S4, receiving the display models of the river basic data, the pollution source data and the pollution treatment data of each area, which are obtained by analyzing the modeling unit, through the display terminal, and displaying and outputting the analyzed results.
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