CN114755383A - Water quality online monitoring analysis management system based on big data platform - Google Patents

Water quality online monitoring analysis management system based on big data platform Download PDF

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CN114755383A
CN114755383A CN202210430573.2A CN202210430573A CN114755383A CN 114755383 A CN114755383 A CN 114755383A CN 202210430573 A CN202210430573 A CN 202210430573A CN 114755383 A CN114755383 A CN 114755383A
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sampling
water quality
water
oxygen
detection
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CN114755383B (en
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张龙飞
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Shenzhen Keyong Software Co ltd
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Wuhan Hongchi Intelligent Equipment Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/18Water
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00Sampling; Preparing specimens for investigation
    • G01N1/02Devices for withdrawing samples
    • G01N1/10Devices for withdrawing samples in the liquid or fluent state
    • G01N1/14Suction devices, e.g. pumps; Ejector devices
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/18Water
    • G01N33/1826Water organic contamination in water

Abstract

The invention discloses a water quality online monitoring analysis management system based on a big data platform, which comprises a sampling area dividing module, a detection point arrangement module, an execution equipment setting module, a water quality parameter acquisition and detection module, an online automatic analysis module, a database, a display terminal and an aeration execution terminal. And the execution equipment can automatically collect the lake water body and detect the collected lake water body, so that the sampling efficiency is greatly improved, errors possibly caused in manual collection and manual transportation are avoided, the sampling precision is improved, and the manual collection cost and the transportation cost are saved.

Description

Water quality online monitoring analysis management system based on big data platform
Technical Field
The invention relates to the technical field of water quality online monitoring, in particular to a water quality online monitoring analysis management system based on a big data platform.
Background
In recent years, with the development of society, water quality frequently has problems in various places, and water quality pollution has become a serious problem. The problem of lake water quality is particularly serious, particularly, many tourists throw garbage into lake water occasionally in the process of swimming the lake, improper throwing of some garbage can cause wild growth of aquatic plants in the lake water body, the aquatic plants and the aquatic animals rob survival resources, large-area death of the aquatic animals is caused, death of the aquatic animals can cause rotting and smelling of the lake water, pollution of the lake water is further aggravated, the remaining aquatic animals are expected to flow harmful substances slowly in the polluted lake water, and after cooking, the human body can be greatly damaged, and the cycle is repeated and vicious. The originally clear and transparent lake water gradually becomes poor in quality, the water level descends and slowly becomes shallow, and the living environment, the body health and the ecological system of people are seriously influenced.
In view of the above, it is very necessary to monitor the quality of lake water in real time, so that the water quality monitoring system is suitable for use, and the conventional water quality monitoring system often has the following disadvantages:
(1) The traditional water quality monitoring system usually adopts manual water sampling, then completes monitoring analysis in a laboratory, not only consumes a large amount of manpower and material resources, but also has very long working period, is not favorable for current emergency, and cannot perform manual water sampling normally and perform real-time water quality monitoring and analysis in severe weather such as rainstorm, snowstorm and the like;
(2) in the traditional water quality monitoring system, the lake water surface area is divided in a gridding dividing mode in the lake water area division, and the characteristic of lake water quality pollution is not followed, so that the lake water area division is too rigid and fixed, the flexibility and the adaptability are not provided, and the subsequent water quality pollution analysis is not facilitated;
(3) in the aspect of lake water sampling, the traditional water quality monitoring system only samples the water body in the surface region of the lake water instead of penetrating into the lake water, so that the sampling is too extensive, water quality parameter detection errors are easy to occur, and the precision of a subsequent water quality pollution analysis result is influenced;
(4) the traditional water quality monitoring system obtains a comprehensive water quality pollution coefficient based on the water quality monitoring of the whole lake water body, so that the pertinence is lacked, and the subsequent water body pollution treatment is inconvenient.
Disclosure of Invention
In order to overcome the defects in the background art, the embodiment of the invention provides a water quality online monitoring, analyzing and managing system based on a big data platform, which can effectively solve the problems in the background art.
The purpose of the invention can be realized by the following technical scheme:
a water quality on-line monitoring analysis management system based on a big data platform comprises a sampling area dividing module, a detection point arrangement module, an execution equipment setting module, a water quality parameter acquisition and detection module, an on-line automatic analysis module, a database, a display terminal and an aeration execution terminal;
the sampling area dividing module is connected with the detection point distributing module, the detection point distributing module is connected with the execution equipment setting module, the execution equipment setting module is respectively connected with the water quality parameter detection module and the aeration execution terminal, the water quality parameter acquisition detection module is connected with the online automatic analysis module, and the online automatic analysis module is respectively connected with the database, the display terminal and the aeration execution terminal;
the sampling region dividing module is used for dividing a lake water region into a plurality of sampling ring regions, numbering the sampling ring regions according to a preset sequence, and marking the sampling ring regions as 1,2,. ang.i,. ang.n in sequence;
The detection point distribution module is used for equidistantly distributing detection points according to a preset distance in each sampling circular ring area, and numbering the distributed detection points in sequence, wherein the number of the distributed detection points is marked as 1,2,. eta, f,. eta, j in sequence;
the execution equipment setting module is used for setting execution equipment at each detection point position of each sampling circular ring area;
the water quality parameter acquisition and detection module is used for sampling water bodies of the detection points at different depth layers by water quality acquisition and detection equipment in execution equipment at the detection point positions in each sampling circular ring area to obtain lake water samples of the detection points at different depth layers on each sampling circular ring area, numbering the depth layers in sequence from shallow to deep according to the sequence of 1,2,.
The online automatic analysis module is used for carrying out online analysis on water quality parameter detection results corresponding to water samples of different depth layers at all detection points on all sampling circular ring areas to obtain a water quality pollution coefficient of a lake water body to be detected in a transverse dimension and a water quality pollution coefficient of a longitudinal dimension, and sending the water quality pollution coefficients to the display terminal;
meanwhile, an online automatic analysis module extracts oxygen content from water quality parameters, and then compares the oxygen content of each detection point on each sampling circular ring area corresponding to the lake water body of each depth layer with standard oxygen content in a database, if the oxygen content of a certain detection point on a certain sampling circular ring area on a certain depth layer is less than the standard oxygen content, the sampling circular ring area is marked as an anoxic sampling circular ring area, the detection point is marked as an anoxic detection point, and the depth layer is marked as an anoxic depth layer, so that the numbers corresponding to the anoxic sampling circular ring area, the anoxic detection point and the anoxic depth layer are recorded, and the oxygen exposure amounts corresponding to the anoxic sampling circular ring area, the anoxic detection point and the anoxic depth layer are simultaneously obtained and respectively sent to a display terminal and an aeration execution terminal;
The database is used for storing standard water quality parameter values corresponding to the lake water body;
the display terminal is used for receiving the water quality pollution coefficient of the lake water body to be detected in the transverse dimension and the water quality pollution coefficient of the longitudinal dimension, the numbers corresponding to the oxygen-poor sampling ring area, the oxygen-poor detection points and the oxygen-requiring amount corresponding to the oxygen-poor sampling ring area, the oxygen-poor detection points and the oxygen-poor depth layer, which are sent by the online automatic analysis module;
the aeration execution terminal is used for receiving an oxygen deficiency sampling circular ring area sent by the online automatic analysis module, numbers corresponding to an oxygen deficiency detection point and an oxygen deficiency depth layer and the oxygen deficiency sampling circular ring area, and oxygen exposure amounts corresponding to the oxygen deficiency detection point and the oxygen deficiency depth layer, and then an aerator in the execution equipment corresponding to the detection point positions is positioned based on the numbers corresponding to the oxygen deficiency sampling circular ring area and the oxygen deficiency detection point, and a valve corresponding to the aerator in the corresponding execution equipment in the oxygen deficiency depth layer is opened according to the oxygen deficiency depth layer number, so that the oxygen exposure operation is carried out, the oxygen exposure amounts are recorded in real time, and the valve is immediately closed when the oxygen exposure amounts are reached.
Further, the specific dividing manner corresponding to the sampling region division for the lake water region is as follows:
a1, determining the central position of the lake surface;
a2, diffusing concentric circles at equal intervals to the periphery according to a preset distance by taking the central position of the lake surface as the center of the circle to obtain a plurality of circular rings, wherein the area where each circular ring is located is the area of each sampling circular ring.
Further, the water quality parameters comprise water temperature, pH value, oxygen content, carbon dioxide concentration and nitrogen content.
Furthermore, the execution equipment is vertically inserted into the water body of each detection point in each sampling ring area, the height of each execution equipment is not lower than the depth of water in the lake water body area, the execution equipment comprises water quality acquisition and detection equipment and an aerator, the water quality acquisition and detection equipment is positioned at the opposite side of the aerator, and a separation fence is arranged between the water quality acquisition and detection equipment and the aerator for separation.
Further, quality of water collection and detection equipment includes water collection end and water quality testing end, and the water collection end divide into a plurality of collection pipes, and its each collection pipe distributes in different depth layers with the preset distance equidistance, and each collection pipe all is equipped with the valve that corresponds alone, and the water quality testing end is located the top of water collection end, and both get together through the pipe connection, and water collection end will sample the water and convey to the water quality testing end through the pipe that links to each other with the water quality testing end after this check point is sampled at the lake water of different depth layers, carries out water quality testing.
Furthermore, the aerator comprises an oxygen charging pump and a plurality of oxygen charging pipes, wherein the oxygen charging pump is positioned above the oxygen charging pipes, the oxygen charging pump and the oxygen charging pipes are connected through a guide pipe, the arrangement of the oxygen charging pipes corresponds to the arrangement of the collecting pipes in the water body collecting end, and each oxygen charging pipe is provided with a valve with an independent switch.
Further, the concrete sampling mode corresponding to sampling the lake water bodies of the detection points on the sampling circular ring areas at different depth layers is as follows:
b1, determining the corresponding serial numbers of the sampling circular ring area, the sampling detection points and the sampling depth layer;
b2, positioning the water quality acquisition and detection equipment in the execution equipment corresponding to the sampling ring area number and the sampling detection point number, and opening a valve of the water quality acquisition and detection equipment in the execution equipment at a corresponding acquisition pipe of the depth layer according to the sampling depth layer number, thereby extracting the lake water body for sampling.
Further, the analysis process corresponding to the water quality pollution coefficient of the lake water area water body to be detected in the transverse dimension is as follows:
c1, forming a water quality parameter set G of each depth layer by the water quality parameters of each detection point in each sampling ring area in each depth layerk={gl i1k,gl i2k,...,gl ifk,...,gl ijk},gl ifk is a water quality parameter value corresponding to the sampled water body at the f-th detection point in the ith sampling ring area in the ith depth layer, k is a water quality parameter, and k is p1, p2, p3, p4, p5, p1, p2, p3, p4, p5 which are respectively expressed as water temperature, pH value, oxygen content, carbon dioxide concentration and nitrogen content;
c2, comparing the water quality parameter sets of each depth layer with the standard water quality parameters corresponding to the lake water bodies stored in the database to obtain a water quality parameter comparison set delta G of each depth layerk={Δgl i1k,Δgl i2k,...,Δgl ifk,...,Δgl ijk},Δgl ifk is expressed as a comparison difference value between the water quality parameter value corresponding to the sampled water body of the f-th detection point in the ith sampling ring area in the l-th depth layer and the standard water quality parameter value;
c3, according to the comparison set of the water quality parameters of each depth layer, counting the water quality pollution coefficient of the lake water area to be detected in the transverse dimension, wherein the calculation formula is
Figure BDA0003610207340000061
ηlExpressed as the water pollution coefficient of the first depth layer in the transverse dimension, and respectively expressed as the standard values corresponding to water temperature, pH value, oxygen content, carbon dioxide concentration and nitrogen content, and delta g, in the values of omega p1, omega p2, omega p3, omega p4 and omega p5l ifp1、Δgl ifp2、Δgl ifp3、Δgl ifp4、Δgl ifp5 corresponding to the f-th detection point in the ith sampling ring region in the ith depth layerThe comparison difference value of the water temperature, the pH value, the oxygen content, the carbon dioxide concentration and the nitrogen content corresponding to the sample water body and the comparison difference value of the standard water temperature, the standard pH value, the standard oxygen content, the standard carbon dioxide concentration and the standard nitrogen content;
further, the analysis process corresponding to the water quality pollution coefficient of the water body of the lake water area to be detected in the longitudinal dimension is as follows:
d1, forming a water quality parameter set Q of each sampling circular ring area by using the water quality parameters of each depth layer on each detection point corresponding to each sampling circular ring areak={qi f1k,qi f2k,...,qi flk,...,qi fhk},qi flk is a water quality parameter value corresponding to the sampled water body of the l depth layer at the f detection point in the ith sampling ring area;
d2, comparing the water quality parameter sets of the sampling circular ring areas with the standard water quality parameters corresponding to the lake water bodies stored in the database to obtain water quality parameter comparison sets delta Q of the sampling circular ring areask={Δqi f1k,Δqi f2k,...,Δqi flk,...,Δqi fhk},Δqi flk is expressed as a comparison difference value between a water quality parameter value corresponding to a sampling water body of a first depth layer at a f-th detection point in an ith sampling ring area and the standard water quality parameter value;
d3, calculating the water quality pollution coefficient of the water body of the lake water area to be detected in the longitudinal dimension according to the water quality parameter comparison set of each sampling circular ring area, wherein the calculation formula is
Figure BDA0003610207340000071
λiExpressed as the water quality pollution coefficient, delta q, of the water body of the lake water area to be detected in the longitudinal dimension of the ith sampling ring areai flp1、Δqi flp2、Δqi flp3、Δqi flp4、Δqi flp5 is corresponding to water temperature, pH value and oxygen content of the sampling water body of the first depth layer at the f detection point in the ith sampling ring areaAnd the comparison difference value of the carbon dioxide concentration and the nitrogen content with the standard water temperature, the standard pH value, the standard oxygen content, the standard carbon dioxide concentration and the standard nitrogen content.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
(1) the water quality acquisition and detection equipment is automatic equipment, and the acquisition pipe in the water body acquisition end can automatically acquire the lake water body and convey the acquired lake water body to the water quality detection end through the guide pipe for detection, so that the sampling efficiency is greatly improved, errors possibly caused in manual acquisition and manual transportation are avoided, the sampling precision is improved, the manual acquisition cost and the transportation cost are saved, and meanwhile, the real-time performance is realized, and the water quality can be monitored and analyzed in real time;
(2) the method for dividing the lake water area is characterized in that concentric circles are equidistantly diffused towards the periphery according to the preset distance by taking the center position of the lake surface as the center of the circle to obtain a plurality of circles, the area where each circle is located is the area of each sampling circle, the method follows the characteristic of lake water quality pollution, and is characterized in that: in actual life, the closer the water quality of lake water is to the center of the lake, the better the water quality is, and the closer the water quality is to the periphery of the lake, the worse the water quality is; the circular ring area division method has flexibility and adaptability, and provides more accurate data support for the subsequent water quality parameter analysis of the water body;
(3) the water quality acquisition and detection equipment comprises a water body acquisition end and a water quality detection end, and is characterized in that acquisition pipes in the water body acquisition end are equidistantly distributed in different depth layers at preset distances, and the acquired lake water body is a water body in each depth layer, has comprehensiveness and provides more comprehensive data support for subsequent water body parameter analysis;
(4) The calculation of the lake water pollution coefficient is divided into the calculation of the transverse dimension and the longitudinal dimension, can reflect the water quality conditions of the lake water body in different dimensions in different areas, provides a targeted treatment target for the subsequent water pollution treatment, and further improves the treatment efficiency and the treatment effect;
(5) the execution equipment in the invention supplies power for solar energy, and is characterized in that additional electric energy supplement is not needed, manual power supply intervention is reduced, on one hand, electric energy consumption is reduced, and on the other hand, manual management cost is reduced.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, without inventive effort, further drawings may be derived from the following figures.
FIG. 1 is a schematic diagram of the module connection according to the present invention.
FIG. 2 is a schematic diagram of an implementation apparatus of 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, the invention provides a water quality online monitoring, analyzing and managing system based on a big data platform, which comprises a sampling area dividing module, a detection point arranging module, an executing device setting module, a water quality parameter collecting and detecting module, an online automatic analyzing module, a database, a display terminal and an aeration executing terminal.
The sampling area dividing module is connected with the detection point laying module, the detection point laying module is connected with the execution equipment setting module, the execution equipment setting module is respectively connected with the water quality parameter detection module and the aeration execution terminal, the water quality parameter acquisition detection module is connected with the online automatic analysis module, and the online automatic analysis module is respectively connected with the database, the display terminal and the aeration execution terminal.
The sampling region division module is used for dividing the sampling region of the lake water region, and the specific division mode is as follows:
a1, determining the central position of the lake surface, namely taking four points in different directions around the lake surface, connecting the two opposite points pairwise and taking the midpoint of the connecting line, namely the central position of the lake surface;
a2, diffusing concentric circles around the center position of the lake surface at equal intervals according to a preset distance by taking the center position of the lake surface as the center of the circles to obtain a plurality of circles, wherein the area where each circle is located is the area of each sampling circle, and the areas of the sampling circles are numbered according to a preset sequence and are marked as 1, 2.
The detection point distribution module is used for distributing detection points in the sampling ring areas at equal intervals according to preset distances, numbering the distributed detection points in sequence, and marking the number as 1,2, a, f, a, j in sequence.
The detection points are arranged in the sampling ring area at equal intervals according to the preset distance, so that the detection of all directions of the lake water body is more accurately performed, the detection data are prevented from being in error and one-sidedness, and the accuracy of the subsequent water pollution analysis result is improved.
The execution equipment setting module is used for setting execution equipment at each detection point position of each sampling circular ring area, the execution equipment is vertically inserted in the water body of each detection point of each sampling circular ring area, and the height of each execution equipment is not lower than the depth of water in the lake water body area, please refer to fig. 2, the execution equipment is divided into water quality acquisition and detection equipment and an aerator, the water quality acquisition and detection equipment is positioned at the opposite side of the aerator, a separation fence is arranged between the water quality acquisition and detection equipment and the aerator for separation, the aerator comprises an oxygen filling pump and a plurality of oxygen filling pipes, wherein the oxygen filling pump is positioned above the oxygen filling pipes, the oxygen filling pump and the aerator are connected through a guide pipe, the arrangement of the oxygen filling pipes corresponds to the arrangement of the acquisition pipes in the water body acquisition end, and valves of independent switches are arranged in the oxygen filling pipes.
The execution equipment provided by the specific embodiment of the invention supplies power for solar energy, and is characterized in that: additional electric energy supplement is not needed, manual power supply intervention is reduced, on one hand, electric energy consumption is reduced, and on the other hand, manual management cost is reduced.
The water quality parameter acquisition and detection module comprises water quality acquisition and detection equipment, and is used for sampling water bodies of the detection points at different depth layers by the water quality acquisition and detection equipment in the execution equipment at the detection point positions in each sampling ring area to obtain lake water samples of the detection points at different depth layers on each sampling ring area, numbering the depth layers in sequence from shallow to deep according to the sequence of 1,2,. The water quality acquisition and detection equipment comprises a water body acquisition end and a water quality detection end, wherein the water body acquisition end is divided into a plurality of acquisition pipes, the acquisition pipes can automatically acquire lake water bodies, each acquisition pipe is provided with a valve which corresponds independently in different depth layers in a preset distance and equidistant distribution, the water quality detection end is arranged above the water body acquisition end, the water body acquisition end and the valve are connected through a conduit, and the water body acquisition end samples lake water bodies in different depth layers at each detection point on the sampling circular ring area and then conveys the sampled water body to the water quality detection end through the conduit connected with the water quality detection end to perform water quality detection.
In one embodiment, the lake water body is automatically collected through the collection pipe in the water body collection end in the water body collection detection equipment, and the collected lake water body is conveyed to the water quality detection end through the guide pipe to be detected, so that the sampling efficiency is greatly improved, errors possibly caused in manual collection and manual transportation are avoided, the sampling precision is improved, the manual collection cost and the transportation cost are saved, and meanwhile, the real-time performance is realized, and the water quality can be monitored and analyzed in real time.
The concrete sampling mode that each detection point on each sampling ring area samples and corresponds at lake water bodies of different depth layers is as follows:
b1, determining all corresponding numbers of the sampling circular ring area, the sampling detection points and the sampling depth layer;
b2, positioning the water quality detection device corresponding to the sampling ring area number and the sampling detection point number based on the number, and opening a valve of the water quality detection device corresponding to a collection pipe on the depth layer according to the sampling depth layer number, thereby extracting the lake water body for sampling.
Specifically, in the lake water body collection, the lake water body is collected in an automatic mode of the execution equipment, and the volume of the lake water body collected by the collection pipes is consistent, so that experimental errors caused by unequal volumes of the collected lake water bodies are avoided, and authenticity, effectiveness and accuracy of data are provided for subsequent lake water quality pollution coefficient calculation.
The online automatic analysis module is used for carrying out online analysis on water quality parameter detection results corresponding to water samples of different depth layers at all detection points on all sampling circular ring areas to obtain a water quality pollution coefficient of a lake water body to be detected in a transverse dimension and a water quality pollution coefficient of a longitudinal dimension, and sending the water quality pollution coefficients to the display terminal.
The embodiment of the invention divides the lake water body to be detected into the water quality pollution coefficient with the transverse dimension and the water quality pollution coefficient with the longitudinal dimension, can reflect the water quality conditions of the lake water body in different dimensions of different areas, provides a targeted treatment target for the subsequent water quality pollution treatment, and further improves the treatment efficiency and the treatment effect.
Meanwhile, an online automatic analysis module extracts oxygen content from the water quality parameters, and then compares the oxygen content of each detection point on each sampling circular ring area corresponding to the lake water body of each depth layer with the standard oxygen content in the database, if the oxygen content of a certain detection point on a certain sampling circular ring area at a certain depth layer is less than the standard oxygen content, the sampling circular ring area is marked as an anoxic sampling circular ring area, the detection point is marked as an anoxic detection point, and the depth layer is marked as an anoxic depth layer, so that the corresponding numbers of the anoxic sampling circular ring area, the anoxic detection point and the anoxic depth layer are recorded, and the corresponding exposure oxygen amounts of the anoxic sampling circular ring area, the anoxic detection point and the anoxic depth layer are obtained and sent to a display terminal and an aeration execution terminal;
The analysis process corresponding to the water quality pollution coefficient of the lake water area to be detected in the transverse dimension is as follows:
c1, forming a water quality parameter set G of each depth layer by the water quality parameters of each detection point in each sampling ring area in each depth layerk={gl i1k,gl i2k,...,gl ifk,...,gl ijk},gl ifk is a water quality parameter value corresponding to the sampled water body at the f-th detection point in the ith sampling ring area in the ith depth layer, k is a water quality parameter, and k is p1, p2, p3, p4, p5, p1, p2, p3, p4, p5 which are respectively expressed as water temperature, pH value, oxygen content, carbon dioxide concentration and nitrogen content;
c2, comparing the water quality parameter sets of each depth layer with the standard water quality parameters corresponding to the lake water bodies stored in the database to obtain a water quality parameter comparison set delta G of each depth layerk={Δgl i1k,Δgl i2k,...,Δgl ifk,...,Δgl ijk},Δgl ifk is expressed as a comparison difference value between the water quality parameter value corresponding to the sampled water body of the f-th detection point in the ith sampling ring area in the l-th depth layer and the standard water quality parameter value;
c3, calculating the water quality pollution coefficient of the lake water area to be detected in the transverse dimension according to the water quality parameter comparison sets of the depth layers, wherein the calculation formula is to calculate the water quality pollution coefficient of the lake water area to be detected in the transverse dimension according to the water quality parameter comparison sets of the depth layers, and the calculation formula is
Figure BDA0003610207340000131
ηlExpressed as the water pollution coefficient of the first depth layer in the transverse dimension, and respectively expressed as standard values corresponding to water temperature, pH value, oxygen content, carbon dioxide concentration and nitrogen content, and delta g, omega p1, omega p2, omega p3, omega p4 and omega p5l ifp1、Δgl ifp2、Δgl ifp3、Δgl ifp4、Δgl ifp5 is respectively corresponding to the comparison difference value between the water temperature, pH value, oxygen content, carbon dioxide concentration and nitrogen content corresponding to the f-th detection point sampling water body in the i-th sampling ring area in the l-th depth layer and the standard water temperature, standard pH value, standard oxygen content, standard carbon dioxide concentration and standard nitrogen content.
The analysis process corresponding to the water quality pollution coefficient of the lake water area to be detected in the longitudinal dimension is as follows:
d1, forming a water quality parameter set Q of each sampling circular ring area by using the water quality parameters of each depth layer on each detection point corresponding to each sampling circular ring areak={qi f1k,qi f2k,...,qi flk,...,qi fhk},qi flk is a water quality parameter value corresponding to the sampled water body of the l depth layer at the f detection point in the ith sampling ring area;
d2, comparing the water quality parameter set of each sampling circular ring area with the standard water quality parameters corresponding to the lake water bodies stored in the database to obtain a water quality parameter comparison set delta Q of each sampling circular ring areak={Δqi f1k,Δqi f2k,...,Δqi flk,...,Δqi fhk},Δqi flk is expressed as a comparison difference value between a water quality parameter value corresponding to a sampling water body of a first depth layer at a f-th detection point in an ith sampling ring area and the standard water quality parameter value;
d3, according to the water quality parameter comparison set of each sampling circular ring area, counting the water quality pollution coefficient of the water body of the lake water area to be detected in the longitudinal dimension, wherein the calculation formula is
Figure BDA0003610207340000141
λiExpressed as the water quality pollution coefficient of the water body of the lake water area to be detected in the longitudinal dimension of the ith sampling ring area, delta qi flp1、Δqi flp2、Δqi flp3、Δqi flp4、Δqi flp5 is the comparison difference between the water temperature, pH value, oxygen content, carbon dioxide concentration and nitrogen content corresponding to the sampling water body of the first depth layer at the f-th detection point in the ith sampling ring area and the standard water temperature, standard pH value, standard oxygen content, standard carbon dioxide concentration and standard nitrogen content.
The database is used for storing standard water quality parameter values corresponding to the lake water body.
The display terminal is used for receiving the water quality pollution coefficient of the lake water body to be detected in the transverse dimension and the water quality pollution coefficient of the longitudinal dimension, the numbers corresponding to the oxygen deficiency sampling circular ring area, the oxygen deficiency detection points and the oxygen deficiency depth layer and the oxygen exposure amount corresponding to the oxygen deficiency sampling circular ring area, the oxygen deficiency detection points and the oxygen deficiency depth layer, which are sent by the online automatic analysis module.
The aeration execution terminal is used for receiving an oxygen deficiency sampling circular ring area sent by the online automatic analysis module, numbers corresponding to an oxygen deficiency detection point and an oxygen deficiency depth layer and the oxygen deficiency sampling circular ring area, and oxygen exposure amounts corresponding to the oxygen deficiency detection point and the oxygen deficiency depth layer, and then an aerator in the execution equipment corresponding to the detection point positions is positioned based on the numbers corresponding to the oxygen deficiency sampling circular ring area and the oxygen deficiency detection point, and a valve corresponding to the aerator in the corresponding execution equipment in the oxygen deficiency depth layer is opened according to the oxygen deficiency depth layer number, so that the oxygen exposure operation is carried out, the oxygen exposure amounts are recorded in real time, and the valve is immediately closed when the oxygen exposure amounts are reached.
The aerator in the execution equipment of the embodiment of the invention automatically executes the oxygen exposure operation by receiving the serial numbers of the oxygen-poor sampling circular ring area, the oxygen-poor detection points and the oxygen-poor depth layer, and the oxygen-to-be-exposed amounts corresponding to the oxygen-poor sampling circular ring area, the oxygen-poor detection points and the oxygen-poor depth layer, so that the one-sidedness and the error of the treatment effect caused by the traditional water quality monitoring system are avoided, the accurate positioning to the lake water area needing to be treated is facilitated, and the treatment efficiency and the treatment effect are greatly improved.
The foregoing is merely illustrative and explanatory of the present invention and various modifications, additions or substitutions may be made to the specific embodiments described by those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.

Claims (9)

1. The utility model provides a quality of water on-line monitoring analysis management system based on big data platform which characterized in that includes: the system comprises a sampling area dividing module, a detection point distributing module, an execution equipment setting module, a water quality parameter collecting and detecting module, an online automatic analysis module, a database, a display terminal and an aeration execution terminal;
The system comprises a sampling area dividing module, an execution equipment setting module, a water quality parameter acquisition and detection module, an online automatic analysis module and a database, wherein the sampling area dividing module is connected with a detection point distributing module;
the sampling region dividing module is used for dividing a lake water region into a plurality of sampling ring regions, numbering the sampling ring regions according to a preset sequence, and marking the sampling ring regions as 1,2,. ang.i,. ang.n;
the detection point distribution module is used for equidistantly distributing detection points according to preset distances in each sampling circular ring area, and numbering the distributed detection points in sequence, wherein the number of the distributed detection points is marked as 1,2,. eta, f,. eta, j in sequence;
the execution equipment setting module is used for setting execution equipment at each detection point position of each sampling circular ring area;
the water quality parameter acquisition and detection module is used for sampling water bodies of the detection points at different depth layers by water quality acquisition and detection equipment in execution equipment at the detection point positions in each sampling ring area to obtain lake water samples of the detection points at different depth layers on each sampling ring area, numbering the depth layers in sequence from shallow to deep according to the sequence 1,2, 1, l, h, and simultaneously detecting water quality parameters corresponding to the lake water samples of the detection points at different depth layers on each sampling ring area;
The online automatic analysis module is used for performing online analysis on water quality parameter detection results corresponding to water samples of different depth layers at all detection points on all sampling circular ring areas to obtain a water quality pollution coefficient of a lake water body to be detected in a transverse dimension and a water quality pollution coefficient of a longitudinal dimension, and sending the water quality pollution coefficients to the display terminal;
meanwhile, an online automatic analysis module extracts oxygen content from the water quality parameters, and then compares the oxygen content of each detection point on each sampling circular ring area corresponding to the lake water body of each depth layer with the standard oxygen content in the database, if the oxygen content of a certain detection point on a certain sampling circular ring area at a certain depth layer is less than the standard oxygen content, the sampling circular ring area is marked as an anoxic sampling circular ring area, the detection point is marked as an anoxic detection point, and the depth layer is marked as an anoxic depth layer, so that the corresponding numbers of the anoxic sampling circular ring area, the anoxic detection point and the anoxic depth layer are recorded, and the corresponding oxygen exposure amounts of the anoxic sampling circular ring area, the anoxic detection point and the anoxic depth layer are simultaneously obtained and are respectively sent to a display terminal and an aeration execution terminal;
the database is used for storing standard water quality parameter values corresponding to the lake water body;
The display terminal is used for receiving the water quality pollution coefficient of the lake water body to be detected in the transverse dimension and the water quality pollution coefficient of the longitudinal dimension, the numbers corresponding to the oxygen-poor sampling ring area, the oxygen-poor detection points and the oxygen-requiring amount corresponding to the oxygen-poor sampling ring area, the oxygen-poor detection points and the oxygen-poor depth layer, which are sent by the online automatic analysis module;
the aeration execution terminal is used for receiving an oxygen deficiency sampling ring area sent by the online automatic analysis module, numbers corresponding to oxygen deficiency detection points and oxygen deficiency depth layers and the oxygen deficiency sampling ring area, and oxygen exposure amounts corresponding to the oxygen deficiency detection points and the oxygen deficiency depth layers, and then an aerator in the execution equipment corresponding to the detection point positions is positioned based on the numbers corresponding to the oxygen deficiency sampling ring area and the oxygen deficiency detection points, and a valve corresponding to the aerator in the corresponding execution equipment in the oxygen deficiency depth layer is opened according to the oxygen deficiency depth layer numbers, so that oxygen exposure operation is carried out, the oxygen exposure amounts are recorded in real time, and the valve is closed immediately when the oxygen exposure amounts are reached.
2. The water quality on-line monitoring, analyzing and managing system based on the big data platform as claimed in claim 1, characterized in that: the specific division mode corresponding to the sampling region division for the lake water region is as follows:
a1, determining the central position of the lake surface;
a2, diffusing concentric circles at equal intervals around the center of the lake surface according to a preset distance to obtain a plurality of circular rings, wherein the area where each circular ring is located is the area of each sampling circular ring.
3. The water quality on-line monitoring, analyzing and managing system based on the big data platform as claimed in claim 1, characterized in that: the water quality parameters comprise water temperature, pH value, oxygen content, carbon dioxide concentration and nitrogen content.
4. The water quality on-line monitoring, analyzing and managing system based on the big data platform as claimed in claim 1, characterized in that: the execution equipment is vertically inserted into the water body of each detection point in each sampling ring area, the height of each execution equipment is not lower than the depth of water in the lake water body area, the execution equipment comprises water quality acquisition and detection equipment and an aerator, the water quality acquisition and detection equipment is positioned at the opposite side of the aerator, and a separation fence is arranged between the water quality acquisition and detection equipment and the aerator for separation.
5. The water quality on-line monitoring, analyzing and managing system based on the big data platform as claimed in claim 4, characterized in that: quality of water gathers check out test set includes water collection end and water quality testing end, the water collection end divide into a plurality of collection pipes, its each collection pipe is in different depth layers with the equidistance distribution of default distance, each collection pipe all is equipped with the valve that corresponds alone, water quality testing end is located the top of water collection end, both get together through pipe connection, water collection end conveys the sampling water to water quality testing end through the pipe that links to each other with water quality testing end after this check point is sampled at the lake water body of different depth layers, carry out water quality testing.
6. The water quality on-line monitoring analysis management system based on the big data platform as claimed in claim 4, characterized in that: the aerator comprises an oxygen filling pump and a plurality of oxygen filling pipes, wherein the oxygen filling pump is positioned above the oxygen filling pipes, the oxygen filling pump and the oxygen filling pipes are connected through a guide pipe, the arrangement of the oxygen filling pipes corresponds to the arrangement of the collecting pipes in the water body collecting end, and valves with independent switches are arranged in the oxygen filling pipes.
7. The water quality on-line monitoring, analyzing and managing system based on the big data platform as claimed in claim 1, characterized in that: the concrete sampling mode corresponding to sampling of the lake water bodies of the detection points on the sampling circular ring areas at different depth layers is as follows:
b1, determining the corresponding serial numbers of the sampling circular ring area, the sampling detection points and the sampling depth layer;
b2, positioning the water quality acquisition and detection equipment in the execution equipment corresponding to the sampling ring area number and the sampling detection point number, and opening a valve of the water quality acquisition and detection equipment in the execution equipment at the corresponding acquisition pipe of the depth layer according to the sampling depth layer number, so as to extract the lake water body for sampling.
8. The water quality on-line monitoring, analyzing and managing system based on the big data platform as claimed in claim 1, characterized in that: the analysis process corresponding to the water quality pollution coefficient of the water body of the lake water area to be detected in the transverse dimension is as follows:
c1, forming a water quality parameter set G of each depth layer by the water quality parameters of each detection point in each sampling ring area in each depth layerk={gl i1k,gl i2k,...,gl ifk,...,gl ijk},gl ifk is a water quality parameter value corresponding to the sampled water body at the f-th detection point in the ith sampling ring area in the ith depth layer, k is a water quality parameter, and k is p1, p2, p3, p4, p5, p1, p2, p3, p4, p5 which are respectively expressed as water temperature, pH value, oxygen content, carbon dioxide concentration and nitrogen content;
c2, comparing the water quality parameter sets of each depth layer with the standard water quality parameters corresponding to the lake water bodies stored in the database to obtain a water quality parameter comparison set delta G of each depth layerk={Δgl i1k,Δgl i2k,...,Δgl ifk,...,Δgl ijk},Δgl ifk is expressed as the ith sampling ring zone in the ith depth layerThe comparison difference value between the water quality parameter value corresponding to the sampling water body of the f-th detection point in the domain and the standard water quality parameter value;
c3, calculating the water quality pollution coefficient of the water body of the lake water area to be detected in the transverse dimension according to the water quality parameter comparison sets of the depth layers, wherein the calculation formula is that the water quality pollution coefficient of the water body of the lake water area to be detected in the transverse dimension is calculated according to the water quality parameter comparison sets of the depth layers, and the calculation formula is
Figure FDA0003610207330000051
ηlExpressed as the water pollution coefficient of the first depth layer in the transverse dimension, and respectively expressed as the standard values corresponding to water temperature, pH value, oxygen content, carbon dioxide concentration and nitrogen content, and delta g, in the values of omega p1, omega p2, omega p3, omega p4 and omega p5 l ifp1、Δgl ifp2、Δgl ifp3、Δgl ifp4、Δgl ifp5 is respectively corresponding to the comparison difference value between the water temperature, the pH value, the oxygen content, the carbon dioxide concentration and the nitrogen content corresponding to the f detection point sampling water body in the ith sampling ring area in the l depth layer and the standard water temperature, the standard pH value, the standard oxygen content, the standard carbon dioxide concentration and the standard nitrogen content.
9. The water quality on-line monitoring, analyzing and managing system based on the big data platform as claimed in claim 1, characterized in that: the analysis process corresponding to the water quality pollution coefficient of the water body of the lake water area to be detected in the longitudinal dimension is as follows:
d1, forming a water quality parameter set Q of each sampling circular ring area by the water quality parameters of each depth layer on each detection point corresponding to each sampling circular ring areak={qi f1k,qi f2k,...,qi flk,...,qi fhk},qi flk is expressed as a water quality parameter value corresponding to the sampling water body of the l depth layer at the f detection point in the ith sampling ring area;
d2 corresponding the water quality parameter set of each sampling circular ring area to the lake water body stored in the databaseThe standard water quality parameters are compared to obtain a water quality parameter comparison set delta Q of each sampling circular ring areak={Δqi f1k,Δqi f2k,...,Δqi flk,...,Δqi fhk},Δqi flk is expressed as a comparison difference value between a water quality parameter value corresponding to the sampling water body of the ith depth layer at the f-th detection point in the ith sampling ring area and the standard water quality parameter value;
d3, according to the water quality parameter comparison set of each sampling circular ring area, counting the water quality pollution coefficient of the water body of the lake water area to be detected in the longitudinal dimension, wherein the calculation formula is
Figure FDA0003610207330000061
λiExpressed as the water quality pollution coefficient, delta q, of the water body of the lake water area to be detected in the longitudinal dimension of the ith sampling ring areai flp1、Δqi flp2、Δqi flp3、Δqi flp4、Δqi flp5 is the comparison difference between the water temperature, pH value, oxygen content, carbon dioxide concentration and nitrogen content corresponding to the sampling water body of the l depth layer at the f detection point in the i sampling ring area and the standard water temperature, standard pH value, standard oxygen content, standard carbon dioxide concentration and standard nitrogen content.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115166185A (en) * 2022-07-21 2022-10-11 广东粤海水务检测技术有限公司 Water quality detection method and device
CN115327065A (en) * 2022-10-17 2022-11-11 中大智能科技股份有限公司 Hydraulic and hydroelectric engineering sample detection method and system
CN116519895A (en) * 2023-04-20 2023-08-01 荆州市昊运水利机械工程有限公司 Water quality on-line monitoring analysis management system based on big data platform
CN117361757A (en) * 2023-12-07 2024-01-09 山东昆仲信息科技有限公司 Reservoir large water surface pollution treatment method and system

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001094937A1 (en) * 2000-06-09 2001-12-13 Watertrax Inc. Integrated water quality monitoring system
KR101328026B1 (en) * 2013-02-06 2013-11-13 한국건설기술연구원 Aquatic environment monitoring system using the profiling technology according to water depth and aquatic environment monitoring method
CN111624037A (en) * 2020-06-12 2020-09-04 顾晓东 Aquaculture water body environment intelligent monitoring system based on big data
CN112345722A (en) * 2020-10-29 2021-02-09 深圳中神电子科技有限公司 Water quality monitoring analysis processing system based on big data analysis
CN112362834A (en) * 2020-10-29 2021-02-12 广州立信电子科技有限公司 Water quality intelligent online real-time monitoring analysis management system based on big data
CN112379070A (en) * 2020-11-09 2021-02-19 安庆中春自动化技术有限公司 River course water environment environmental protection administers pollution sources monitoring management system based on big data
CN112394152A (en) * 2020-10-27 2021-02-23 范玲珍 Water quality real-time intelligent monitoring analysis management system based on big data
CN113884644A (en) * 2021-08-30 2022-01-04 南京公诚节能新材料研究院有限公司 Method and system for monitoring water quality index of landscape culture water

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001094937A1 (en) * 2000-06-09 2001-12-13 Watertrax Inc. Integrated water quality monitoring system
KR101328026B1 (en) * 2013-02-06 2013-11-13 한국건설기술연구원 Aquatic environment monitoring system using the profiling technology according to water depth and aquatic environment monitoring method
CN111624037A (en) * 2020-06-12 2020-09-04 顾晓东 Aquaculture water body environment intelligent monitoring system based on big data
CN112394152A (en) * 2020-10-27 2021-02-23 范玲珍 Water quality real-time intelligent monitoring analysis management system based on big data
CN112345722A (en) * 2020-10-29 2021-02-09 深圳中神电子科技有限公司 Water quality monitoring analysis processing system based on big data analysis
CN112362834A (en) * 2020-10-29 2021-02-12 广州立信电子科技有限公司 Water quality intelligent online real-time monitoring analysis management system based on big data
CN112379070A (en) * 2020-11-09 2021-02-19 安庆中春自动化技术有限公司 River course water environment environmental protection administers pollution sources monitoring management system based on big data
CN113884644A (en) * 2021-08-30 2022-01-04 南京公诚节能新材料研究院有限公司 Method and system for monitoring water quality index of landscape culture water

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115166185A (en) * 2022-07-21 2022-10-11 广东粤海水务检测技术有限公司 Water quality detection method and device
CN115327065A (en) * 2022-10-17 2022-11-11 中大智能科技股份有限公司 Hydraulic and hydroelectric engineering sample detection method and system
CN115327065B (en) * 2022-10-17 2022-12-27 中大智能科技股份有限公司 Hydraulic and hydroelectric engineering sample detection method and system
CN116519895A (en) * 2023-04-20 2023-08-01 荆州市昊运水利机械工程有限公司 Water quality on-line monitoring analysis management system based on big data platform
CN116519895B (en) * 2023-04-20 2024-03-29 安徽禾美环保集团有限公司 Water quality on-line monitoring analysis management system based on big data platform
CN117361757A (en) * 2023-12-07 2024-01-09 山东昆仲信息科技有限公司 Reservoir large water surface pollution treatment method and system
CN117361757B (en) * 2023-12-07 2024-02-20 山东昆仲信息科技有限公司 Reservoir large water surface pollution treatment method and system

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